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PMC:7558233 / 975-45990 JSONTXT

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LitCovid_Glycan-Motif-Structure

Id Subject Object Predicate Lexical cue
T1 35317-35324 https://glytoucan.org/Structures/Glycans/G00021MO denotes heparin
T2 35317-35324 https://glytoucan.org/Structures/Glycans/G54161DR denotes heparin

LitCovid-PubTator

Id Subject Object Predicate Lexical cue tao:has_database_id tao:has_standard_notation
37 98-145 Species denotes severe acute respiratory syndrome coronavirus-2 Tax:2697049
38 147-157 Species denotes SARS-CoV-2 Tax:2697049
39 326-336 Species denotes SARS-CoV-2 Tax:2697049
40 397-405 Species denotes SARS-CoV Tax:694009
41 429-437 Species denotes SARS-CoV Tax:694009
42 442-497 Species denotes Middle East respiratory syndrome coronavirus (MERS-CoV) Tax:1335626
43 503-513 Species denotes SARS-CoV-2 Tax:2697049
44 551-562 Species denotes coronavirus Tax:11118
45 16-40 Disease denotes Coronavirus disease 2019 MESH:C000657245
46 42-50 Disease denotes COVID-19 MESH:C000657245
47 159-168 Disease denotes infection MESH:D007239
48 220-228 Disease denotes COVID-19 MESH:C000657245
49 297-303 Disease denotes deaths MESH:D003643
63 733-748 Species denotes influenza virus Tax:11309
64 771-798 Species denotes respiratory syncytial virus Tax:12814
65 804-814 Species denotes rhinovirus Tax:12059
66 817-830 Species denotes coronaviruses Tax:11118
67 987-998 Species denotes coronavirus Tax:11118
68 1047-1052 Species denotes human Tax:9606
69 1105-1118 Species denotes coronaviruses Tax:11118
70 1353-1358 Species denotes human Tax:9606
71 706-717 Species denotes respiratory Tax:12814
72 869-903 Disease denotes upper respiratory tract infections MESH:D012141
73 936-947 Disease denotes common cold MESH:D003139
74 956-965 Disease denotes pneumonia MESH:D011014
75 1177-1197 Disease denotes respiratory diseases MESH:D012140
80 1823-1831 Species denotes patients Tax:9606
81 1524-1532 Disease denotes COVID-19 MESH:C000657245
82 1730-1750 Disease denotes SARS-CoV-2 infection MESH:C000657245
83 2048-2056 Disease denotes COVID-19 MESH:C000657245
85 2581-2589 Disease denotes COVID-19 MESH:C000657245
89 3088-3096 Species denotes patients Tax:9606
90 3166-3174 Species denotes SARS-CoV Tax:694009
91 2775-2784 Disease denotes pneumonia MESH:D011014
98 3472-3478 Species denotes people Tax:9606
99 3641-3646 Species denotes human Tax:9606
100 3650-3655 Species denotes human Tax:9606
101 3240-3249 Disease denotes infection MESH:D007239
102 3521-3531 Disease denotes infections MESH:D007239
103 4048-4056 Disease denotes infected MESH:D007239
106 4728-4735 Species denotes patient Tax:9606
107 4809-4817 Species denotes patients Tax:9606
109 5377-5392 Disease denotes viral infection MESH:D001102
118 5393-5403 Species denotes SARS-CoV-2 Tax:2697049
119 5460-5468 Species denotes patients Tax:9606
120 5758-5761 Species denotes CoV Tax:11118
121 5802-5818 Species denotes beta coronavirus Tax:694002
122 5944-5957 Species denotes Coronaviridae Tax:11118
123 5492-5497 Disease denotes fever MESH:D005334
124 5499-5504 Disease denotes cough MESH:D003371
125 5510-5517 Disease denotes dyspnea MESH:D004417
132 5970-5980 Species denotes SARS-CoV-2 Tax:2697049
133 6107-6120 Species denotes coronaviruses Tax:11118
134 6190-6200 Species denotes SARS-CoV-2 Tax:2697049
135 6288-6293 Species denotes human Tax:9606
136 6322-6327 Species denotes human Tax:9606
137 6390-6398 Disease denotes COVID-19 MESH:C000657245
153 6513-6518 Gene denotes spike Gene:43740568
154 6649-6680 Gene denotes angiotensin-converting enzyme 2 Gene:59272
155 6682-6686 Gene denotes ACE2 Gene:59272
156 6770-6775 Gene denotes FURIN Gene:5045
157 6779-6810 Gene denotes transmembrane protease serine 2 Gene:7113
158 6812-6819 Gene denotes TMPRSS2 Gene:7113
159 6936-6940 Gene denotes ACE2 Gene:59272
160 6945-6960 Gene denotes serine protease Gene:2147
161 7078-7082 Gene denotes ACE2 Gene:59272
162 7087-7094 Gene denotes TMPRSS2 Gene:7113
163 6409-6419 Species denotes SARS-CoV-2 Tax:2697049
164 6459-6467 Species denotes SARS-CoV Tax:694009
165 6993-7003 Species denotes SARS-CoV-2 Tax:2697049
166 6724-6730 Chemical denotes serine MESH:D012694
167 7407-7431 Disease denotes multiple-organ infection MESH:D007239
216 8230-8244 Gene denotes interleukin-1β Gene:3553
217 8246-8251 Gene denotes IL-1β Gene:3552
218 8254-8287 Gene denotes interleukin-1 receptor antagonist Gene:3557
219 8289-8295 Gene denotes IL-1RA Gene:3557
220 8298-8302 Gene denotes IL-7 Gene:3574
221 8304-8308 Gene denotes IL-8 Gene:3576
222 8310-8314 Gene denotes IL-9 Gene:3578
223 8316-8321 Gene denotes IL-10 Gene:3586
224 8349-8386 Gene denotes granulocyte colony stimulating factor Gene:1440
225 8388-8393 Gene denotes G-CSF Gene:1440
226 8396-8444 Gene denotes granulocyte-macrophage colony-stimulating factor Gene:1437
227 8446-8452 Gene denotes GM-CSF Gene:1437
228 8455-8467 Gene denotes interferon-γ Gene:3458
229 8469-8474 Gene denotes IFN-γ Gene:3458
230 8477-8508 Gene denotes interferon-inducible protein-10 Gene:3627
231 8510-8515 Gene denotes IP-10 Gene:3627
232 8518-8548 Gene denotes monocyte chemotactic protein-1 Gene:6347
233 8550-8555 Gene denotes MCP-1 Gene:6347
234 8558-8597 Gene denotes macrophage inflammatory protein-1 alpha Gene:6348
235 8599-8605 Gene denotes MIP-1α Gene:6348
236 8608-8646 Gene denotes macrophage inflammatory protein-1 beta Gene:6351
237 8648-8654 Gene denotes MIP-1β Gene:6348
238 8696-8719 Gene denotes tumor necrosis factor-α Gene:7124
239 8721-8726 Gene denotes TNF-α Gene:7124
240 8733-8767 Gene denotes vascular endothelial growth factor Gene:7422
241 8769-8773 Gene denotes VEGF Gene:7422
242 8862-8866 Gene denotes IL-2 Gene:3558
243 8868-8872 Gene denotes IL-7 Gene:3574
244 8874-8879 Gene denotes IL-10 Gene:3586
245 8881-8886 Gene denotes G-CSF Gene:1440
246 8888-8892 Gene denotes IP10 Gene:3627
247 8894-8899 Gene denotes MCP-1 Gene:6347
248 8901-8907 Gene denotes MIP-1α Gene:6348
249 8913-8918 Gene denotes TNF-α Gene:7124
250 7718-7728 Species denotes SARS-CoV-2 Tax:2697049
251 8131-8139 Species denotes patients Tax:9606
252 8802-8810 Species denotes patients Tax:9606
253 7893-7904 Chemical denotes aldosterone MESH:D000450
254 7804-7814 Disease denotes thrombosis MESH:D013927
255 7918-7926 Disease denotes COVID-19 MESH:C000657245
256 7927-7936 Disease denotes infection MESH:D007239
257 8122-8130 Disease denotes COVID-19 MESH:C000657245
258 8145-8154 Disease denotes pneumonia MESH:D011014
259 8782-8798 Disease denotes Critical illness MESH:D016638
260 9085-9094 Disease denotes infection MESH:D007239
261 9187-9202 Disease denotes alveolar damage MESH:D055370
262 9230-9249 Disease denotes multi-organ failure MESH:D009102
263 9265-9270 Disease denotes death MESH:D003643
278 9272-9276 Gene denotes ACE2 Gene:59272
279 9400-9401 Gene denotes S Gene:43740568
280 9481-9485 Gene denotes ACE2 Gene:59272
281 9780-9784 Gene denotes ACE2 Gene:59272
282 9415-9425 Species denotes SARS-CoV-2 Tax:2697049
283 9508-9516 Species denotes SARS-CoV Tax:694009
284 9591-9601 Species denotes SARS-CoV-2 Tax:2697049
285 9608-9618 Species denotes SARS-CoV-2 Tax:2697049
286 9687-9698 Species denotes respiratory Tax:12814
287 9947-9958 Species denotes respiratory Tax:12814
288 10117-10128 Species denotes respiratory Tax:12814
289 9826-9846 Disease denotes SARS-CoV-2 infection MESH:C000657245
290 10006-10020 Disease denotes lung infection MESH:D012141
291 10108-10116 Disease denotes infected MESH:D007239
300 10371-10375 Gene denotes ACE2 Gene:59272
301 10566-10570 Gene denotes ACE2 Gene:59272
302 10324-10334 Species denotes SARS-CoV-2 Tax:2697049
303 10463-10476 Species denotes coronaviruses Tax:11118
304 10482-10492 Species denotes SARS-CoV-2 Tax:2697049
305 10524-10532 Species denotes SARS-CoV Tax:694009
306 10590-10603 Species denotes coronaviruses Tax:11118
307 10628-10638 Species denotes SARS-CoV-2 Tax:2697049
327 11584-11585 Gene denotes S Gene:43740568
328 11092-11093 Gene denotes S Gene:43740568
329 12057-12062 Gene denotes spike Gene:43740568
330 10841-10851 Species denotes SARS-CoV-2 Tax:2697049
331 11001-11019 Species denotes SARS-CoV-2 variant Tax:2697049
332 11610-11620 Species denotes SARS-CoV-2 Tax:2697049
333 11732-11742 Species denotes SARS-CoV-2 Tax:2697049
334 11765-11772 Species denotes persons Tax:9606
335 11021-11034 Chemical denotes aspartic acid MESH:D001224
336 11060-11067 Chemical denotes glycine MESH:D005998
337 11656-11666 Disease denotes infections MESH:D007239
338 11756-11764 Disease denotes infected MESH:D007239
339 12198-12218 Disease denotes SARS-CoV-2 infection MESH:C000657245
340 12020-12025 Mutation denotes D614G rs1396533675
341 11826-11831 Mutation denotes D614G rs1396533675
342 11586-11591 Mutation denotes D614G rs1396533675
343 11951-11957 Mutation denotes P4715L p.P4715L
344 11964-11969 Mutation denotes P323L p.P323L
345 11266-11271 Mutation denotes D614G rs1396533675
356 12276-12286 Species denotes SARS-CoV-2 Tax:2697049
357 12653-12663 Species denotes SARS-CoV-2 Tax:2697049
358 12749-12759 Species denotes SARS-CoV-2 Tax:2697049
359 12785-12790 Species denotes human Tax:9606
360 12928-12936 Species denotes patients Tax:9606
361 13050-13061 Species denotes respiratory Tax:12814
362 12849-12874 Disease denotes gastrointestinal symptoms MESH:D012817
363 12886-12900 Disease denotes abdominal pain MESH:D015746
364 12905-12913 Disease denotes diarrhea MESH:D003967
365 13211-13219 Disease denotes diarrhea MESH:D003967
371 13914-13922 Species denotes patients Tax:9606
372 13932-13940 Species denotes patients Tax:9606
373 13687-13695 Disease denotes COVID-19 MESH:C000657245
374 13775-13783 Disease denotes COVID-19 MESH:C000657245
375 13899-13913 Disease denotes critically ill MESH:D016638
381 14082-14092 Species denotes SARS-CoV-2 Tax:2697049
382 14288-14295 Species denotes patient Tax:9606
383 14478-14488 Species denotes SARS-CoV-2 Tax:2697049
384 14154-14169 Disease denotes acute infection MESH:D007239
385 14351-14359 Disease denotes COVID-19 MESH:C000657245
403 15312-15313 Gene denotes N Gene:43740575
404 15302-15303 Gene denotes N Gene:43740575
405 15292-15293 Gene denotes N Gene:43740575
406 15132-15133 Gene denotes N Gene:43740575
407 15025-15026 Gene denotes N Gene:43740575
408 14794-14795 Gene denotes N Gene:43740575
409 15322-15323 Gene denotes S Gene:43740568
410 15139-15140 Gene denotes S Gene:43740568
411 15032-15033 Gene denotes S Gene:43740568
412 14802-14803 Gene denotes S Gene:43740568
413 15455-15463 Species denotes patients Tax:9606
414 15476-15484 Species denotes patients Tax:9606
415 15563-15571 Species denotes patients Tax:9606
416 15610-15618 Species denotes patients Tax:9606
417 14582-14590 Disease denotes COVID-19 MESH:C000657245
418 14879-14899 Disease denotes SARS-CoV-2 infection MESH:C000657245
419 15195-15205 Disease denotes infections MESH:D007239
426 16410-16415 Gene denotes orf1a Gene:43740578
427 16417-16422 Gene denotes orf1b Gene:43740578
428 16424-16425 Gene denotes N Gene:43740575
429 16355-16365 Species denotes SARS-CoV-2 Tax:2697049
430 16632-16642 Species denotes SARS-CoV-2 Tax:2697049
431 15751-15759 Disease denotes COVID-19 MESH:C000657245
433 16962-16970 Disease denotes COVID-19 MESH:C000657245
452 18103-18111 Species denotes patients Tax:9606
453 18274-18282 Species denotes children Tax:9606
454 18328-18336 Species denotes children Tax:9606
455 17031-17039 Disease denotes COVID-19 MESH:C000657245
456 17418-17423 Disease denotes fever MESH:D005334
457 17428-17433 Disease denotes cough MESH:D003371
458 17489-17495 Disease denotes nausea MESH:D009325
459 17497-17505 Disease denotes vomiting MESH:D014839
460 17511-17519 Disease denotes diarrhea MESH:D003967
461 17834-17842 Disease denotes infected MESH:D007239
462 17869-17874 Disease denotes fever MESH:D005334
463 17955-17960 Disease denotes fever MESH:D005334
464 18034-18042 Disease denotes COVID-19 MESH:C000657245
465 18058-18069 Disease denotes lymphopenia MESH:D008231
466 18248-18259 Disease denotes lymphopenia MESH:D008231
467 18301-18309 Disease denotes COVID-19 MESH:C000657245
468 18319-18327 Disease denotes infected MESH:D007239
469 18381-18391 Disease denotes infections MESH:D007239
504 18819-18823 Gene denotes ACE2 Gene:59272
505 19028-19032 Gene denotes ACE2 Gene:59272
506 19068-19072 Gene denotes ACE2 Gene:59272
507 19184-19187 Gene denotes ACE Gene:1636
508 18609-18617 Species denotes patients Tax:9606
509 18924-18932 Species denotes patients Tax:9606
510 18968-18975 Species denotes Persons Tax:9606
511 19289-19297 Species denotes patients Tax:9606
512 19396-19404 Species denotes Patients Tax:9606
513 19532-19539 Species denotes patient Tax:9606
514 19664-19672 Species denotes patients Tax:9606
515 19797-19805 Species denotes patients Tax:9606
516 18535-18539 Disease denotes MERS MESH:D018352
517 18600-18608 Disease denotes COVID-19 MESH:C000657245
518 18623-18631 Disease denotes diabetes MESH:D003920
519 18633-18670 Disease denotes chronic obstructive pulmonary disease MESH:D029424
520 18672-18676 Disease denotes COPD MESH:D029424
521 18679-18702 Disease denotes cardiovascular diseases MESH:D002318
522 18704-18707 Disease denotes CVD MESH:D002318
523 18710-18722 Disease denotes hypertension MESH:D006973
524 18724-18736 Disease denotes malignancies MESH:D009369
525 18784-18793 Disease denotes mortality MESH:D003643
526 18915-18923 Disease denotes COVID-19 MESH:C000657245
527 18938-18946 Disease denotes diabetes MESH:D003920
528 18948-18952 Disease denotes COPD MESH:D029424
529 18958-18961 Disease denotes CVD MESH:D002318
530 18991-19003 Disease denotes hypertension MESH:D006973
531 19231-19239 Disease denotes COVID-19 MESH:C000657245
532 19275-19287 Disease denotes hypertension MESH:D006973
533 19303-19309 Disease denotes cancer MESH:D009369
534 19410-19416 Disease denotes cancer MESH:D009369
535 19503-19508 Disease denotes death MESH:D003643
536 19790-19796 Disease denotes cancer MESH:D009369
537 19875-19896 Disease denotes nosocomial infections MESH:D003428
546 20054-20062 Disease denotes anorexia MESH:D000855
547 20083-20089 Disease denotes nausea MESH:D009325
548 20097-20105 Disease denotes vomiting MESH:D014839
549 20113-20121 Disease denotes diarrhea MESH:D003967
550 20133-20147 Disease denotes abdominal pain MESH:D015746
551 20251-20259 Disease denotes anorexia MESH:D000855
552 20269-20277 Disease denotes diarrhea MESH:D003967
553 20291-20297 Disease denotes nausea MESH:D009325
566 20385-20393 Species denotes patients Tax:9606
567 20531-20539 Species denotes patients Tax:9606
568 20633-20640 Species denotes patient Tax:9606
569 20696-20701 Species denotes child Tax:9606
570 20799-20807 Species denotes patients Tax:9606
571 20967-20975 Species denotes patients Tax:9606
572 21040-21048 Species denotes patients Tax:9606
573 21128-21136 Species denotes patients Tax:9606
574 21179-21187 Species denotes patients Tax:9606
575 21355-21363 Species denotes patients Tax:9606
576 20687-20695 Disease denotes infected MESH:D007239
577 20977-20985 Disease denotes hyposmia MESH:D000857
585 21698-21706 Species denotes patients Tax:9606
586 21821-21829 Species denotes patients Tax:9606
587 21976-21984 Species denotes patients Tax:9606
588 22245-22253 Species denotes patients Tax:9606
589 21636-21644 Disease denotes COVID-19 MESH:C000657245
590 21835-21851 Disease denotes critical illness MESH:D016638
591 22007-22023 Disease denotes critical illness MESH:D016638
607 22555-22562 Species denotes patient Tax:9606
608 22669-22677 Species denotes patients Tax:9606
609 23515-23523 Species denotes patients Tax:9606
610 22996-23007 Species denotes respiratory Tax:12814
611 23243-23253 Chemical denotes creatinine MESH:D003404
612 22568-22576 Disease denotes COVID-19 MESH:C000657245
613 22606-22622 Disease denotes critical illness MESH:D016638
614 22683-22691 Disease denotes COVID-19 MESH:C000657245
615 23051-23058 Disease denotes dyspnea MESH:D004417
616 23060-23069 Disease denotes skin rash MESH:D005076
617 23113-23117 Disease denotes COPD MESH:D029424
618 23119-23125 Disease denotes cancer MESH:D009369
619 23315-23331 Disease denotes critical illness MESH:D016638
620 23529-23537 Disease denotes COVID-19 MESH:C000657245
621 23576-23585 Disease denotes pneumonia MESH:D011014
623 24128-24136 Species denotes patients Tax:9606
631 24662-24666 Gene denotes IL-6 Gene:3569
632 24947-24951 Gene denotes IL-6 Gene:3569
633 25001-25019 Gene denotes C-reactive protein Gene:1401
634 25053-25061 Species denotes patients Tax:9606
635 25194-25202 Species denotes patients Tax:9606
636 24403-24411 Disease denotes COVID-19 MESH:C000657245
637 25070-25081 Disease denotes lymphopenia MESH:D008231
663 27389-27426 Gene denotes Granulocyte colony stimulating factor Gene:1440
664 27439-27447 Species denotes patients Tax:9606
665 27634-27642 Species denotes patients Tax:9606
666 26399-26418 Chemical denotes Lopinavir–ritonavir MESH:C558899
667 26584-26594 Chemical denotes Remdesivir MESH:C000606551
668 27585-27593 Chemical denotes Hydrogen MESH:D006859
669 27594-27600 Chemical denotes oxygen MESH:D010100
670 26426-26434 Disease denotes COVID-19 MESH:C000657245
671 26541-26560 Disease denotes impairment of liver MESH:D017093
672 26602-26610 Disease denotes COVID-19 MESH:C000657245
673 26717-26771 Disease denotes impairment of liver and kidney function 

 Favipiravir MESH:D051437
674 26779-26787 Disease denotes COVID-19 MESH:C000657245
675 26864-26872 Disease denotes Diarrhea MESH:D003967
676 26874-26893 Disease denotes impairment of liver MESH:D017093
677 26948-26956 Disease denotes COVID-19 MESH:C000657245
678 27055-27074 Disease denotes impairment of liver MESH:D017093
679 27118-27134 Disease denotes Critical illness MESH:D016638
680 27138-27146 Disease denotes COVID-19 MESH:C000657245
681 27258-27266 Disease denotes COVID-19 MESH:C000657245
682 27346-27365 Disease denotes impairment of liver MESH:D017093
683 27427-27438 Disease denotes Lymphopenic MESH:C565427
684 27453-27461 Disease denotes COVID-19 MESH:C000657245
685 27557-27581 Disease denotes Leukocytosis; osteodynia MESH:D007964
686 27648-27656 Disease denotes COVID-19 MESH:C000657245
687 27684-27704 Disease denotes respiratory symptoms MESH:D012818
689 26269-26277 Disease denotes COVID-19 MESH:C000657245
699 26128-26136 Species denotes patients Tax:9606
700 25468-25472 Disease denotes MERS MESH:D018352
701 25473-25482 Disease denotes infection MESH:D007239
702 25563-25571 Disease denotes COVID-19 MESH:C000657245
703 25833-25837 Disease denotes MERS MESH:D018352
704 25895-25903 Disease denotes COVID-19 MESH:C000657245
705 25988-25996 Disease denotes COVID-19 MESH:C000657245
706 26142-26150 Disease denotes COVID-19 MESH:C000657245
707 26194-26202 Disease denotes COVID-19 MESH:C000657245
755 30275-30280 Gene denotes IFN-β Gene:3439
756 31254-31259 Gene denotes IFN-α Gene:3439
757 27899-27907 Species denotes patients Tax:9606
758 28128-28139 Species denotes Ebola virus Tax:205488
759 28333-28341 Species denotes patients Tax:9606
760 28711-28719 Species denotes patients Tax:9606
761 29183-29191 Species denotes patients Tax:9606
762 29654-29661 Species denotes patient Tax:9606
763 29721-29729 Species denotes patients Tax:9606
764 30507-30515 Species denotes patients Tax:9606
765 30677-30685 Species denotes patients Tax:9606
766 30836-30844 Species denotes patients Tax:9606
767 30987-30995 Species denotes patients Tax:9606
768 28037-28056 Chemical denotes lopinavir/ritonavir MESH:C558899
769 28058-28068 Chemical denotes remdesivir MESH:C000606551
770 28074-28085 Chemical denotes chloroquine MESH:D002738
771 28468-28487 Chemical denotes lopinavir/ritonavir MESH:C558899
772 28830-28840 Chemical denotes remdesivir MESH:C000606551
773 28980-28999 Chemical denotes lopinavir/ritonavir MESH:C558899
774 29004-29014 Chemical denotes remdesivir MESH:C000606551
775 29384-29403 Chemical denotes lopinavir/ritonavir MESH:C558899
776 29842-29861 Chemical denotes lopinavir/ritonavir MESH:C558899
777 29866-29876 Chemical denotes remdesivir MESH:C000606551
778 30069-30079 Chemical denotes remdesivir MESH:C000606551
779 30285-30294 Chemical denotes ribavirin MESH:D012254
780 30296-30315 Chemical denotes lopinavir/ritonavir MESH:C558899
781 30639-30650 Chemical denotes chloroquine MESH:D002738
782 30655-30673 Chemical denotes hydroxychloroquine MESH:D006886
783 30727-30738 Chemical denotes chloroquine MESH:D002738
784 30873-30891 Chemical denotes hydroxychloroquine MESH:D006886
785 31062-31073 Chemical denotes favipiravir MESH:C462182
786 31229-31248 Chemical denotes lopinavir/ritonavir MESH:C558899
787 27727-27742 Disease denotes viral infection MESH:D001102
788 27760-27766 Disease denotes sepsis MESH:D018805
789 27819-27827 Disease denotes COVID-19 MESH:C000657245
790 27923-27939 Disease denotes critical illness MESH:D016638
791 28149-28188 Disease denotes immunodeficiency virus (HIV) infections MESH:D015658
792 28225-28245 Disease denotes SARS-CoV-2 infection MESH:C000657245
793 28354-28362 Disease denotes COVID-19 MESH:C000657245
794 28566-28575 Disease denotes mortality MESH:D003643
795 28732-28740 Disease denotes COVID-19 MESH:C000657245
796 29897-29905 Disease denotes COVID-19 MESH:C000657245
797 30159-30168 Disease denotes mortality MESH:D003643
798 30521-30529 Disease denotes COVID-19 MESH:C000657245
799 30614-30622 Disease denotes COVID-19 MESH:C000657245
800 30691-30699 Disease denotes COVID-19 MESH:C000657245
801 31018-31026 Disease denotes COVID-19 MESH:C000657245
821 31792-31829 Gene denotes granulocyte colony stimulating factor Gene:1440
822 32072-32075 Gene denotes CD8 Gene:925
823 31608-31616 Species denotes patients Tax:9606
824 31786-31791 Species denotes human Tax:9606
825 31894-31902 Species denotes patients Tax:9606
826 32244-32252 Species denotes patients Tax:9606
827 32380-32388 Species denotes patients Tax:9606
828 31430-31446 Disease denotes viral infections MESH:D001102
829 31565-31576 Disease denotes Lymphopenia MESH:D008231
830 31622-31630 Disease denotes COVID-19 MESH:C000657245
831 31681-31690 Disease denotes mortality MESH:D003643
832 31831-31838 Disease denotes rhG-CSF MESH:D002559
833 31908-31916 Disease denotes COVID-19 MESH:C000657245
834 31926-31937 Disease denotes lymphopenia MESH:D008231
835 32045-32052 Disease denotes rhG-CSF MESH:D002559
836 32161-32177 Disease denotes critical illness MESH:D016638
837 32181-32186 Disease denotes death MESH:D003643
838 32369-32376 Disease denotes rhG-CSF MESH:D002559
839 32394-32402 Disease denotes COVID-19 MESH:C000657245
859 32722-32730 Species denotes patients Tax:9606
860 32883-32891 Species denotes patients Tax:9606
861 33089-33097 Species denotes patients Tax:9606
862 33253-33261 Species denotes patients Tax:9606
863 33425-33433 Species denotes patients Tax:9606
864 33452-33463 Species denotes respiratory Tax:12814
865 32633-32651 Chemical denotes methylprednisolone MESH:D008775
866 32960-32973 Chemical denotes dexamethasone MESH:D003907
867 33170-33176 Chemical denotes oxygen MESH:D010100
868 32498-32510 Disease denotes inflammation MESH:D007249
869 32520-32531 Disease denotes lung injury MESH:D055370
870 32564-32583 Disease denotes respiratory failure MESH:D012131
871 32588-32593 Disease denotes death MESH:D003643
872 32709-32718 Disease denotes mortality MESH:D003643
873 32736-32744 Disease denotes COVID-19 MESH:C000657245
874 32763-32798 Disease denotes acute respiratory distress syndrome MESH:D012128
875 32897-32905 Disease denotes COVID-19 MESH:C000657245
876 33036-33045 Disease denotes mortality MESH:D003643
877 33338-33349 Disease denotes lung damage MESH:D008171
894 33603-33611 Species denotes patients Tax:9606
895 33672-33680 Species denotes patients Tax:9606
896 33748-33756 Species denotes patients Tax:9606
897 33835-33843 Species denotes patients Tax:9606
898 34227-34235 Species denotes patients Tax:9606
899 34266-34274 Species denotes patients Tax:9606
900 34453-34461 Species denotes patients Tax:9606
901 34600-34608 Species denotes patients Tax:9606
902 34642-34649 Species denotes patient Tax:9606
903 33588-33602 Disease denotes critically ill MESH:D016638
904 33617-33625 Disease denotes COVID-19 MESH:C000657245
905 33695-33699 Disease denotes MERS MESH:D018352
906 33733-33747 Disease denotes critically ill MESH:D016638
907 33762-33770 Disease denotes COVID-19 MESH:C000657245
908 34251-34265 Disease denotes critically ill MESH:D016638
909 34621-34629 Disease denotes COVID-19 MESH:C000657245
921 35101-35109 Species denotes Patients Tax:9606
922 35296-35324 Chemical denotes low molecular weight heparin MESH:D006495
923 35552-35560 Chemical denotes warfarin MESH:D014859
924 34741-34779 Disease denotes disseminated intravascular coagulation MESH:D004211
925 34781-34784 Disease denotes DIC MESH:D004211
926 34945-34957 Disease denotes coagulopathy MESH:D001778
927 35086-35094 Disease denotes COVID-19 MESH:C000657245
928 35117-35123 Disease denotes sepsis MESH:D018805
929 35132-35144 Disease denotes coagulopathy MESH:D001778
930 35266-35275 Disease denotes mortality MESH:D003643
931 35447-35466 Disease denotes alveolar hemorrhage MESH:D006470
970 35660-35668 Species denotes Patients Tax:9606
971 35884-35892 Species denotes patients Tax:9606
972 36366-36374 Species denotes patients Tax:9606
973 36525-36533 Species denotes patients Tax:9606
974 36798-36806 Species denotes patients Tax:9606
975 36959-36965 Species denotes People Tax:9606
976 36999-37007 Species denotes patients Tax:9606
977 35818-35824 Chemical denotes helium MESH:D006371
978 35825-35831 Chemical denotes oxygen MESH:D010100
979 36023-36029 Chemical denotes helium MESH:D006371
980 36030-36036 Chemical denotes oxygen MESH:D010100
981 36115-36123 Chemical denotes hydrogen MESH:D006859
982 36124-36130 Chemical denotes oxygen MESH:D010100
983 36142-36144 Chemical denotes H2 MESH:D003903
984 36145-36147 Chemical denotes O2 MESH:D010100
985 36199-36204 Chemical denotes water MESH:D014867
986 36291-36296 Chemical denotes H2–O2 MESH:D006861
987 36448-36453 Chemical denotes H2–O2 MESH:D006861
988 36594-36599 Chemical denotes H2–O2 MESH:D006861
989 36756-36762 Chemical denotes oxygen MESH:D010100
990 36883-36888 Chemical denotes H2–O2 MESH:D006861
991 37063-37069 Chemical denotes oxygen MESH:D010100
992 35650-35658 Disease denotes COVID-19 MESH:C000657245
993 35674-35682 Disease denotes COVID-19 MESH:C000657245
994 35873-35880 Disease denotes dyspnea MESH:D004417
995 35898-35917 Disease denotes respiratory failure MESH:D012131
996 35928-35965 Disease denotes chronic obstructive pulmonary disease MESH:D029424
997 36355-36362 Disease denotes dyspnea MESH:D004417
998 36395-36403 Disease denotes stenosis MESH:D003251
999 36539-36547 Disease denotes COVID-19 MESH:C000657245
1000 36661-36681 Disease denotes respiratory symptoms MESH:D012818
1001 36693-36700 Disease denotes dyspnea MESH:D004417
1002 36702-36712 Disease denotes chest pain MESH:D002637
1003 36718-36723 Disease denotes cough MESH:D003371
1004 36812-36820 Disease denotes COVID-19 MESH:C000657245
1005 36829-36836 Disease denotes dyspnea MESH:D004417
1006 36990-36998 Disease denotes COVID-19 MESH:C000657245
1007 37013-37020 Disease denotes dyspnea MESH:D004417
1015 37701-37711 Species denotes SARS-CoV-2 Tax:2697049
1016 38648-38654 Species denotes People Tax:9606
1017 38881-38891 Species denotes SARS-CoV-2 Tax:2697049
1018 37275-37284 Species denotes influenza Tax:11309
1019 38713-38721 Disease denotes COVID-19 MESH:C000657245
1020 39026-39040 Disease denotes critically ill MESH:D016638
1021 39052-39060 Disease denotes COVID-19 MESH:C000657245
1024 39355-39365 Species denotes SARS-CoV-2 Tax:2697049
1025 39436-39444 Disease denotes COVID-19 MESH:C000657245
1030 39538-39548 Species denotes SARS-CoV-2 Tax:2697049
1031 39850-39860 Species denotes adenovirus Tax:10508
1032 39874-39884 Species denotes SARS-CoV-2 Tax:2697049
1033 39779-39787 Disease denotes COVID-19 MESH:C000657245
1040 40542-40546 Chemical denotes NMPA
1041 40874-40878 Chemical denotes NMPA
1042 40106-40114 Disease denotes COVID-19 MESH:C000657245
1043 40331-40339 Disease denotes COVID-19 MESH:C000657245
1044 40925-40933 Disease denotes COVID-19 MESH:C000657245
1045 41059-41067 Disease denotes COVID-19 MESH:C000657245
1054 41382-41387 Species denotes human Tax:9606
1055 41871-41885 Species denotes enterovirus 71 Tax:39054
1056 41902-41912 Species denotes poliovirus Tax:138950
1057 41956-41979 Species denotes human adenovirus type-5 Tax:28285
1058 42033-42043 Species denotes SARS-CoV-2 Tax:2697049
1059 42423-42434 Species denotes respiratory Tax:12814
1060 42253-42273 Disease denotes SARS-CoV-2 infection MESH:C000657245
1061 42298-42316 Disease denotes respiratory tracts MESH:D012140
1076 44354-44391 Gene denotes granulocyte colony stimulating factor Gene:1440
1077 43245-43250 Species denotes human Tax:9606
1078 43254-43259 Species denotes human Tax:9606
1079 43578-43588 Species denotes SARS-CoV-2 Tax:2697049
1080 44193-44199 Species denotes People Tax:9606
1081 44233-44241 Species denotes patients Tax:9606
1082 44396-44404 Species denotes patients Tax:9606
1083 43695-43703 Disease denotes COVID-19 MESH:C000657245
1084 43754-43762 Disease denotes COVID-19 MESH:C000657245
1085 43803-43811 Disease denotes COVID-19 MESH:C000657245
1086 44224-44232 Disease denotes COVID-19 MESH:C000657245
1087 44247-44254 Disease denotes dyspnea MESH:D004417
1088 44417-44428 Disease denotes lymphopenia MESH:D008231
1089 44793-44809 Disease denotes critical illness MESH:D016638
1091 43114-43122 Disease denotes COVID-19 MESH:C000657245
1095 42503-42511 Disease denotes COVID-19 MESH:C000657245
1096 42602-42611 Disease denotes mortality MESH:D003643
1097 42725-42729 Disease denotes MERS MESH:D018352

LitCovid-PD-HP

Id Subject Object Predicate Lexical cue hp_id
T1 869-903 Phenotype denotes upper respiratory tract infections http://purl.obolibrary.org/obo/HP_0002788
T2 956-965 Phenotype denotes pneumonia http://purl.obolibrary.org/obo/HP_0002090
T3 2775-2784 Phenotype denotes pneumonia http://purl.obolibrary.org/obo/HP_0002090
T4 5492-5497 Phenotype denotes fever http://purl.obolibrary.org/obo/HP_0001945
T5 5499-5504 Phenotype denotes cough http://purl.obolibrary.org/obo/HP_0012735
T6 5510-5517 Phenotype denotes dyspnea http://purl.obolibrary.org/obo/HP_0002094
T7 8072-8086 Phenotype denotes cytokine storm http://purl.obolibrary.org/obo/HP_0033041
T8 8145-8154 Phenotype denotes pneumonia http://purl.obolibrary.org/obo/HP_0002090
T9 8696-8701 Phenotype denotes tumor http://purl.obolibrary.org/obo/HP_0002664
T10 9177-9202 Phenotype denotes diffusing alveolar damage http://purl.obolibrary.org/obo/HP_0033006
T11 9907-9917 Phenotype denotes aspiration http://purl.obolibrary.org/obo/HP_0002835
T12 10263-10273 Phenotype denotes aspiration http://purl.obolibrary.org/obo/HP_0002835
T13 12886-12900 Phenotype denotes abdominal pain http://purl.obolibrary.org/obo/HP_0002027
T14 12905-12913 Phenotype denotes diarrhea http://purl.obolibrary.org/obo/HP_0002014
T15 13211-13219 Phenotype denotes diarrhea http://purl.obolibrary.org/obo/HP_0002014
T16 17418-17423 Phenotype denotes fever http://purl.obolibrary.org/obo/HP_0001945
T17 17428-17433 Phenotype denotes cough http://purl.obolibrary.org/obo/HP_0012735
T18 17489-17505 Phenotype denotes nausea, vomiting http://purl.obolibrary.org/obo/HP_0002017
T19 17511-17519 Phenotype denotes diarrhea http://purl.obolibrary.org/obo/HP_0002014
T20 17869-17874 Phenotype denotes fever http://purl.obolibrary.org/obo/HP_0001945
T21 17955-17960 Phenotype denotes fever http://purl.obolibrary.org/obo/HP_0001945
T22 18058-18069 Phenotype denotes lymphopenia http://purl.obolibrary.org/obo/HP_0001888
T23 18248-18259 Phenotype denotes lymphopenia http://purl.obolibrary.org/obo/HP_0001888
T24 18633-18670 Phenotype denotes chronic obstructive pulmonary disease http://purl.obolibrary.org/obo/HP_0006510
T25 18672-18676 Phenotype denotes COPD http://purl.obolibrary.org/obo/HP_0006510
T26 18679-18702 Phenotype denotes cardiovascular diseases http://purl.obolibrary.org/obo/HP_0001626
T27 18710-18722 Phenotype denotes hypertension http://purl.obolibrary.org/obo/HP_0000822
T28 18948-18952 Phenotype denotes COPD http://purl.obolibrary.org/obo/HP_0006510
T29 18991-19003 Phenotype denotes hypertension http://purl.obolibrary.org/obo/HP_0000822
T30 19275-19287 Phenotype denotes hypertension http://purl.obolibrary.org/obo/HP_0000822
T31 19303-19309 Phenotype denotes cancer http://purl.obolibrary.org/obo/HP_0002664
T32 19410-19416 Phenotype denotes cancer http://purl.obolibrary.org/obo/HP_0002664
T33 19790-19796 Phenotype denotes cancer http://purl.obolibrary.org/obo/HP_0002664
T34 20054-20062 Phenotype denotes anorexia http://purl.obolibrary.org/obo/HP_0002039
T35 20083-20105 Phenotype denotes nausea and/or vomiting http://purl.obolibrary.org/obo/HP_0002017
T36 20113-20121 Phenotype denotes diarrhea http://purl.obolibrary.org/obo/HP_0002014
T37 20133-20147 Phenotype denotes abdominal pain http://purl.obolibrary.org/obo/HP_0002027
T38 20251-20259 Phenotype denotes anorexia http://purl.obolibrary.org/obo/HP_0002039
T39 20269-20277 Phenotype denotes diarrhea http://purl.obolibrary.org/obo/HP_0002014
T40 20291-20297 Phenotype denotes nausea http://purl.obolibrary.org/obo/HP_0002018
T41 20977-20985 Phenotype denotes hyposmia http://purl.obolibrary.org/obo/HP_0004409
T42 20990-21006 Phenotype denotes nasal congestion http://purl.obolibrary.org/obo/HP_0001742
T43 23039-23049 Phenotype denotes hemoptysis http://purl.obolibrary.org/obo/HP_0002105
T44 23051-23058 Phenotype denotes dyspnea http://purl.obolibrary.org/obo/HP_0002094
T45 23060-23069 Phenotype denotes skin rash http://purl.obolibrary.org/obo/HP_0000988
T46 23113-23117 Phenotype denotes COPD http://purl.obolibrary.org/obo/HP_0006510
T47 23119-23125 Phenotype denotes cancer http://purl.obolibrary.org/obo/HP_0002664
T48 23576-23585 Phenotype denotes pneumonia http://purl.obolibrary.org/obo/HP_0002090
T49 25070-25081 Phenotype denotes lymphopenia http://purl.obolibrary.org/obo/HP_0001888
T50 26864-26872 Phenotype denotes Diarrhea http://purl.obolibrary.org/obo/HP_0002014
T51 27557-27569 Phenotype denotes Leukocytosis http://purl.obolibrary.org/obo/HP_0001974
T52 27760-27766 Phenotype denotes sepsis http://purl.obolibrary.org/obo/HP_0100806
T53 28149-28165 Phenotype denotes immunodeficiency http://purl.obolibrary.org/obo/HP_0002721
T54 31565-31576 Phenotype denotes Lymphopenia http://purl.obolibrary.org/obo/HP_0001888
T55 31926-31937 Phenotype denotes lymphopenia http://purl.obolibrary.org/obo/HP_0001888
T56 32549-32583 Phenotype denotes progression to respiratory failure http://purl.obolibrary.org/obo/HP_0002093
T57 32769-32789 Phenotype denotes respiratory distress http://purl.obolibrary.org/obo/HP_0002098
T58 34741-34779 Phenotype denotes disseminated intravascular coagulation http://purl.obolibrary.org/obo/HP_0005521
T59 34781-34784 Phenotype denotes DIC http://purl.obolibrary.org/obo/HP_0005521
T60 34945-34957 Phenotype denotes coagulopathy http://purl.obolibrary.org/obo/HP_0003256
T61 35117-35123 Phenotype denotes sepsis http://purl.obolibrary.org/obo/HP_0100806
T62 35132-35144 Phenotype denotes coagulopathy http://purl.obolibrary.org/obo/HP_0003256
T63 35439-35466 Phenotype denotes diffuse alveolar hemorrhage http://purl.obolibrary.org/obo/HP_0025420
T64 35873-35880 Phenotype denotes dyspnea http://purl.obolibrary.org/obo/HP_0002094
T65 35898-35917 Phenotype denotes respiratory failure http://purl.obolibrary.org/obo/HP_0002878
T66 35928-35965 Phenotype denotes chronic obstructive pulmonary disease http://purl.obolibrary.org/obo/HP_0006510
T67 36355-36362 Phenotype denotes dyspnea http://purl.obolibrary.org/obo/HP_0002094
T68 36693-36700 Phenotype denotes dyspnea http://purl.obolibrary.org/obo/HP_0002094
T69 36702-36712 Phenotype denotes chest pain http://purl.obolibrary.org/obo/HP_0100749
T70 36718-36723 Phenotype denotes cough http://purl.obolibrary.org/obo/HP_0012735
T71 36829-36836 Phenotype denotes dyspnea http://purl.obolibrary.org/obo/HP_0002094
T72 37013-37020 Phenotype denotes dyspnea http://purl.obolibrary.org/obo/HP_0002094
T73 44247-44254 Phenotype denotes dyspnea http://purl.obolibrary.org/obo/HP_0002094
T74 44417-44428 Phenotype denotes lymphopenia http://purl.obolibrary.org/obo/HP_0001888

LitCovid-sentences

Id Subject Object Predicate Lexical cue
T7 0-15 Sentence denotes 1 Introduction
T8 16-169 Sentence denotes Coronavirus disease 2019 (COVID-19), which emerged in December 2019, is caused by severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) infection.
T9 170-325 Sentence denotes According to the World Health Organization (WHO), COVID-19 has resulted in 34 495 176 laboratory-confirmed cases and 1 025 729 deaths as of 3 October 2020.
T10 326-415 Sentence denotes SARS-CoV-2 shares at least 70% similarity of its genetic sequence with SARS-CoV [1], [2].
T11 416-687 Sentence denotes Coming after SARS-CoV and Middle East respiratory syndrome coronavirus (MERS-CoV), the SARS-CoV-2 outbreak is the third in a series of coronavirus outbreaks that have elicited heterogeneous clinical manifestations, ranging from asymptomatic response to fatal illness [3].
T12 688-970 Sentence denotes Like other common respiratory viruses (i.e., influenza virus, parainfluenza virus, respiratory syncytial virus, and rhinovirus), coronaviruses generally cause mild and self-limited upper respiratory tract infections with clinical manifestations of common cold or mild pneumonia [4].
T13 971-1073 Sentence denotes Among all known coronavirus species, only six have been identified to cause human diseases as of 2019.
T14 1074-1202 Sentence denotes The 229E, OC43, NL63, and HKU1 coronaviruses are well documented and mostly result in mild-to-moderate respiratory diseases [5].
T15 1203-1499 Sentence denotes However, the substantial genetic diversity, frequent recombination, and cumulative mutations of their RNA genomes, along with the notable increase in human-to-wildlife activities, have collectively resulted in a greater likelihood of the emergence of more transmissible and/or virulent pathogens.
T16 1500-1751 Sentence denotes Since the prevalence of COVID-19, China has been confronted with various uncertainties, including the infectivity and routes of transmission, clinical manifestations and immune responses, and possible effective treatments against SARS-CoV-2 infection.
T17 1752-2021 Sentence denotes Determining how to best manage the surge of new cases, promptly triage patients based on the predicted disease development trajectory, and deploy practical management to improve the clinical outcomes has become the central task for the government and medical community.
T18 2022-2309 Sentence denotes During the battle against COVID-19, based on the “life supremacy” policy, China has enforced rapid non-pharmaceutical interventions and played a crucial role in unraveling the viral transmission and clinical characteristics, and in developing novel therapeutic interventions and vaccine.
T19 2310-2528 Sentence denotes Here, we summarize the strategies that have been used in China in different domains, which might help to increase our preparedness against future outbreaks and inform disease prevention and management across the globe.
T20 2530-2598 Sentence denotes 2 Overview of the strategies for battling against COVID-19 in China
T21 2599-2815 Sentence denotes Epidemiological surveillance systems, which have been well established since the 2003 SARS epidemic in China, underpinned China’s rapid identification of initial cases with a “pneumonia of unknown etiology” [6], [7].
T22 2816-3188 Sentence denotes Within only one month, the Chinese government had declared the epidemic an “extremely serious public health incident.” This familiar scenario, in which patchy shadows and ground-glass opacity on computed tomography (CT) images, even presenting with “white lung” in severe patients [8], surpassed the panic caused by the large-scale superspreading of SARS-CoV 17 years ago.
T23 3189-3396 Sentence denotes Defining the routes of transmission and sources of infection may inform the strategies for outbreak containment at a nationwide level, with the rapid deployment of non-pharmaceutical interventions [9], [10].
T24 3397-3509 Sentence denotes In Wuhan, most cases had a history of recent travel to or contact with the people in a seafood wholesale market.
T25 3510-3609 Sentence denotes Subsequent infections of medical staff and other sporadic cases showed no contact with this market.
T26 3610-3773 Sentence denotes In cases of close contact, the human-to-human transmission potential of the virus was soon released, and the public was warned via multiple social media platforms.
T27 3774-4122 Sentence denotes The declaration that Wuhan city—but not other regions—was the epicenter prompted the Chinese government to initiate an unprecedented and draconic measure: to lock down Wuhan and several other adjacent cities in Hubei province in order to rapidly curb the massive outflow of infected cases and enforce restrictions on movements to the epicenter [9].
T28 4123-4273 Sentence denotes To more rapidly achieve epidemic containment, non-governmental societies were soon mobilized to supervise and trace the paths of relevant individuals.
T29 4274-4585 Sentence denotes In order to more effectively manage the surge of mild-to-moderate cases, makeshift (Fangcang) hospitals with 13 000 beds were temporarily built in large-scale public venues to facilitate the isolation, treatment, and monitoring of confirmed cases, which would help to alleviate the shortage of medical supplies.
T30 4586-4827 Sentence denotes The establishment of these low-cost hospitals obviated within-household and community transmission; it also helped to release the pressure of patient admissions to designated hospitals and made it possible to triage severe patients promptly.
T31 4828-5017 Sentence denotes To minimize the risk of transmission, residents without symptoms and/or with a history of close contact yet a negative polymerase chain reaction (PCR) test were mandated to isolate at home.
T32 5018-5112 Sentence denotes These measures eventually proved to be highly effective in flattening the epidemiologic curve.
T33 5113-5341 Sentence denotes However, challenges in managing ongoing local outbreaks induced by imported cases remain due to the high risk of resurgence in regions such as Beijing, Xinjiang, Dalian, and Hong Kong, which have frequent population immigration.
T34 5343-5392 Sentence denotes 3 Possible mechanisms underlying viral infection
T35 5393-5583 Sentence denotes SARS-CoV-2 was initially identified and isolated from a cluster of patients with similar symptoms (fever, cough, and dyspnea) and radiologic findings of ground-glass opacity on chest CT [6].
T36 5584-5823 Sentence denotes Next-generation sequencing and real-time reverse transcription polymerase chain reaction (RT-PCR) targeting to a consensus RNA-dependent RNA polymerase (RdRp) region of panβ-CoV demonstrated the pathogen to be a novel beta coronavirus [7].
T37 5824-5969 Sentence denotes Electron microscopy revealed the solar appearance of virion particles, whose morphology was consistent with that of the Coronaviridae family [7].
T38 5970-6148 Sentence denotes SARS-CoV-2 most likely originated from bats due to its substantially high homology (96% nucleotide sequence identity) with SARS-like bat coronaviruses (BatCoV RaTG13) [11], [12].
T39 6149-6302 Sentence denotes A possible mechanism of the emergence of SARS-CoV-2 is that the accumulative mutations in its genome enabled the virus to cross the animal–human barrier.
T40 6303-6408 Sentence denotes However, animal-to-human transmission is unlikely to have been the main driver for the COVID-19 pandemic.
T41 6409-6508 Sentence denotes SARS-CoV-2 employs mechanisms similar to those of SARS-CoV for receptor recognition and cell entry.
T42 6509-6709 Sentence denotes The spike (S) protein on the virion surface facilitates the entry of the virus into the target cells by attachment to its cognate receptor, angiotensin-converting enzyme 2 (ACE2), on the cell surface.
T43 6710-6902 Sentence denotes Transmembrane serine proteases of the target cells, such as FURIN or transmembrane protease serine 2 (TMPRSS2), induce cleavage of the S protein before membrane fusion for cellular entry [13].
T44 6903-7004 Sentence denotes Therefore, cells that co-express ACE2 and serine protease could be the primary targets of SARS-CoV-2.
T45 7005-7347 Sentence denotes Single-cell RNA-sequencing studies have also confirmed the expression of ACE2 and TMPRSS2 in a vast array of cells, including lung alveolar epithelial type II cells, nasal goblet cells, cholangiocytes, colonocytes, esophageal keratinocytes, gastrointestinal epithelial cells, pancreatic β-cells, and renal proximal tubules and podocytes [14].
T46 7348-7474 Sentence denotes These observations have provided probable explanations for multiple-organ infection and injury via direct viral tissue damage.
T47 7475-7717 Sentence denotes Moreover, clinical observations have demonstrated extrapulmonary manifestations, ranging from hematologic, cardiovascular, renal, gastrointestinal and hepatobiliary, endocrinologic, neurologic, and ophthalmologic to dermatologic systems [14].
T48 7718-7917 Sentence denotes SARS-CoV-2 attacks the host through direct tissue damage, endothelial cell damage and thrombosis, dysregulation of the immune response, and disorders of the renin-angiotensin-aldosterone system [15].
T49 7918-8099 Sentence denotes COVID-19 infection is accompanied by an aggressive inflammatory response with the release of massive pro-inflammatory cytokines in an event known as the “cytokine storm” [16], [17].
T50 8100-8781 Sentence denotes Plasma collected from COVID-19 patients with pneumonia has shown markedly increased concentrations of pro-inflammatory cytokines (interleukin-1β (IL-1β), interleukin-1 receptor antagonist (IL-1RA), IL-7, IL-8, IL-9, IL-10, fibroblast growth factor, granulocyte colony stimulating factor (G-CSF), granulocyte-macrophage colony-stimulating factor (GM-CSF), interferon-γ (IFN-γ), interferon-inducible protein-10 (IP-10), monocyte chemotactic protein-1 (MCP-1), macrophage inflammatory protein-1 alpha (MIP-1α), macrophage inflammatory protein-1 beta (MIP-1β), platelet-derived growth factor (PDGF), tumor necrosis factor-α (TNF-α), and vascular endothelial growth factor (VEGF)) [18].
T51 8782-8969 Sentence denotes Critical illness in patients has also been associated with an elevated level of IL-2, IL-7, IL-10, G-CSF, IP10, MCP-1, MIP-1α, and TNF-α plasma concentrations as compared with mild cases.
T52 8970-9271 Sentence denotes These events drive the recruitment of immune cells such as macrophages, neutrophils, and T cells into the sites of infection, causing destabilization of endothelial cell to cell and the vascular barrier and diffusing alveolar damage, and ultimately leading to multi-organ failure and subsequent death.
T53 9272-9326 Sentence denotes ACE2 is the key determinant of viral transmissibility.
T54 9327-9607 Sentence denotes Recent studies have demonstrated that the receptor binding domain of the S protein from SARS-CoV-2 displays a 10- to 20-fold higher binding capacity with ACE2 compared with that of SARS-CoV [19], [20], which may partially explain the increased transmissibility of SARS-CoV-2 [21].
T55 9608-9825 Sentence denotes SARS-CoV-2 shows a gradient of reduced infectivity from the proximal to distal respiratory tract, which coincides with the finding of progressively decreased expression of ACE2 from the oropharynx to the alveoli [22].
T56 9826-10021 Sentence denotes SARS-CoV-2 infection might be initiated from the nasal passages, followed by the aspiration of virions seeding along the respiratory tract to the lungs, rather than causing direct lung infection.
T57 10022-10279 Sentence denotes A more possible process might involve high loads of virus shedding from the initially infected respiratory tract, along with the secretion of mucus accumulating at the oropharynx cavity, and finally arriving at the tracheobronchial tree via aspiration [23].
T58 10280-10481 Sentence denotes Molecular dynamics simulations suggest that SARS-CoV-2 has a distinct binding interface to ACE2, with higher affinities and a different network of residue-residue contacts than other coronaviruses [2].
T59 10482-10582 Sentence denotes SARS-CoV-2 has a larger contact area than SARS-CoV with more conserved residues for ACE2 attachment.
T60 10583-10840 Sentence denotes Unlike coronaviruses with low pathogenicity, SARS-CoV-2 exhibits enhancement of the nuclear localization signals in the nucleocapsid protein and distinct inserts in the spike glycoprotein, which appear to be associated with the high case-fatality rate [24].
T61 10841-10966 Sentence denotes SARS-CoV-2 could evolve into diverse lineages with different magnitudes of virulence and transmissibility via mutations [25].
T62 10967-11230 Sentence denotes Several studies have documented a SARS-CoV-2 variant, aspartic acid (D) with substitution of glycine (G) at codon 614 in the S protein [25], [26], [27], [28], which is located on a B-cell epitope with a highly immunodominant region on the receptor binding domain.
T63 11231-11349 Sentence denotes An in vitro study suggested that a D614G pseudotype variant was nine times more infectious than the D614 strains [29].
T64 11350-11559 Sentence denotes Strains carrying this mutation have become dominant since December 2019, and have been frequently observed in European countries (e.g., the Netherlands, Switzerland, and France) but not as frequently in China.
T65 11560-11696 Sentence denotes Strikingly, the variant S-D614G distinguishes the SARS-CoV-2 strains that may have caused fatal infections in European populations [27].
T66 11697-12019 Sentence denotes A study on the alignment of 10 022 SARS-CoV-2 genomes from infected persons in 68 countries identified 6294 samples carrying the D614G mutation; almost all of these genomes also had another co-mutation in the proteins responsible for replication (ORF1ab P4715L; RdRp P323L) that might affect the speed of replication [28].
T67 12020-12219 Sentence denotes D614G was predicted to fine-tune the spike conformation and result in a loss of immunogenicity for B-cell recognition, a dominated process to stimulate adaptive immunity against SARS-CoV-2 infection.
T68 12221-12243 Sentence denotes 4 Transmission routes
T69 12244-12384 Sentence denotes The major transmission route of SARS-CoV-2 is considered to be close contact with droplets containing exposed virus or contaminated fomites.
T70 12385-12632 Sentence denotes Further studies have revealed the presence of viral RNA in various bodily fluid samples, including bronchoalveolar lavage fluid, sputum, nasal swabs, pharyngeal swabs, feces, blood, and urine [30], which suggest alternative routes of transmission.
T71 12633-12720 Sentence denotes In fact, infectious SARS-CoV-2 virions have been isolated from fecal and urine samples.
T72 12721-12954 Sentence denotes In line with these reports, SARS-CoV-2 productively infects the human gut enterocytes [31], [32], [33], [34] and causes notable gastrointestinal symptoms, including abdominal pain and diarrhea in 20%–50% of patients [35], [36], [37].
T73 12955-13189 Sentence denotes Further investigations found that the viral load in feces was markedly higher than that in the respiratory tract between 17 and 28 d after symptom onset, and that RNA fragments—but not infectious virus—were detected in the feces [38].
T74 13190-13287 Sentence denotes During an episode of diarrhea, infectious virus could be more readily detected in the feces [37].
T75 13288-13352 Sentence denotes Moreover, infectious viruses have also been isolated from urine.
T76 13353-13444 Sentence denotes Given these findings, appropriate precautions should be taken to avoid fomite transmission.
T77 13446-13481 Sentence denotes 5 Advances in laboratory diagnosis
T78 13482-13656 Sentence denotes The development of rapid diagnosis is urgently needed during the early stages of an epidemic to enable community-based screening and consistent course development monitoring.
T79 13657-13758 Sentence denotes During the early stage of the COVID-19 epidemic, diagnosis was based on symptoms and chest radiology.
T80 13759-13876 Sentence denotes The majority of COVID-19 cases showed bilateral distribution of patchy shadows and ground-glass opacity on CT images.
T81 13877-14023 Sentence denotes However, 17.9% of non-critically ill patients and 2.9% patients with severe illnesses showed no radiologic abnormality on hospital admission [39].
T82 14024-14170 Sentence denotes RT-PCR has been extensively deployed for the detection of SARS-CoV-2 RNA fragments, and has been recommended for the diagnosis of acute infection.
T83 14171-14271 Sentence denotes However, false-negative results may be problematic, as they can jeopardize the whole community [40].
T84 14272-14530 Sentence denotes The fact that a patient who was RT-PCR negative developed clinical symptoms of COVID-19, suggesting that insufficient amounts of viral genome collection for amplification, or mutations in the NP and ORF of SARS-CoV-2, may lead to false-negative results [41].
T85 14531-14618 Sentence denotes Serological analysis is another typical method for COVID-19 diagnosis [42], [43], [44].
T86 14619-14779 Sentence denotes Accurate serological tests would enrich our understanding of the personal process of viral exposure, particularly in the monitoring of asymptomatic individuals.
T87 14780-14998 Sentence denotes Nucleocapsid (N)- and S-specific immunoglobulin M (IgM) and IgG could be used for the detection of SARS-CoV-2 infection because of the progressively elevated titers after symptom onset (typically peaking at Days 7–10).
T88 14999-15103 Sentence denotes The combined detection of N- and S-specific IgM and IgG may increase the detection rate at early stages.
T89 15104-15250 Sentence denotes In fact, the combination of N- and S-induced IgM and IgG could be detected in up to 75% of infections within the first week of symptom onset [45].
T90 15251-15371 Sentence denotes The sensitivity of combined detection of N-IgM and N-IgG, or N-IgG and S-IgG, reached 94.7% within the second week [45].
T91 15372-15490 Sentence denotes At Week 3, S-IgG titers were significantly higher in non-intensive care unit (ICU) patients than in ICU patients [45].
T92 15491-15641 Sentence denotes Moreover, the expression level of N-IgG was significantly higher in ICU patients, although S-IgG titers were higher in patients with moderate illness.
T93 15642-15701 Sentence denotes These findings provide hints for prognosis prediction [46].
T94 15702-16004 Sentence denotes To accelerate the clinical diagnostic testing of COVID-19 (particularly for population-based survey or point-of-care testing), a rapid, accurate, and portable detection method based on clustered regularly interspaced short palindromic repeats (CRISPR)/ CRISPR associate system (Cas) has been developed.
T95 16005-16137 Sentence denotes The CRISPR/Cas system is an adaptive immune system in archaea and bacteria that defends against foreign genetic elements [47], [48].
T96 16138-16289 Sentence denotes CRISPR allows a programmable protein to attach onto the target site assisted by a guide RNA for cleavage of the target sequence [47], [49], [50], [51].
T97 16290-16558 Sentence denotes CRISPR/Cas12a-based detection has been established together with SARS-CoV-2-specific CRISPR RNAs (crRNAs) targeting the orf1a, orf1b, N, and E genes, and a single-stranded DNA (ssDNA) reporter labeled with a quenched green fluorescent molecule has been developed [48].
T98 16559-16719 Sentence denotes The fluorescent molecule is cleaved in the presence of a trace amount of SARS-CoV-2 sequences; more importantly, the results can be determined by the naked eye.
T99 16720-16929 Sentence denotes This system also allows for simultaneous reverse transcription and isothermal amplification at a low temperature, independent of laboratory instruments, and thus could meet the urgent need for rapid diagnosis.
T100 16931-16970 Sentence denotes 6 Clinical characteristics of COVID-19
T101 16971-17213 Sentence denotes Given the lack of knowledge regarding the manifestations of COVID-19 and the unclear targets for its prevention, efforts have been expedited to extract the clinical data from the first 41 cases, who were unanimously recruited from Wuhan [52].
T102 17214-17387 Sentence denotes To depict the clinical characteristics at the national level, a study was performed to analyze 1099 laboratory-confirmed cases from 552 hospitals across mainland China [39].
T103 17388-17540 Sentence denotes The most common symptoms were fever and cough on admission, while gastrointestinal illnesses such as nausea, vomiting, and diarrhea were uncommon (<5%).
T104 17541-17599 Sentence denotes The median incubation period was 4 d (interquartile range:
T105 17600-17607 Sentence denotes 2–7 d).
T106 17608-17735 Sentence denotes The case-fatality rate was 1.4%, which was comparable to the national official statistics in China as of 16 February 2020 [39].
T107 17736-17855 Sentence denotes However, the case-fatality rate cannot be precisely calculated due to the unclear total number of infected individuals.
T108 17856-18043 Sentence denotes Importantly, fever was not present on admission in around half of the individuals, suggesting that fever cannot be the sole diagnostic standard for population-based screening of COVID-19.
T109 18044-18260 Sentence denotes The fact that lymphopenia was common and more prominent in patients with greater disease severity has inspired clinicians to perform clinical trials to validate the effectiveness of interventions against lymphopenia.
T110 18261-18421 Sentence denotes Furthermore, children are not immune to COVID-19 and most infected children have been found to have a history of recent infections in their families [53], [54].
T111 18422-18557 Sentence denotes Multiple comorbidities have been found to be associated with the severity of disease and progression in SARS and MERS [55], [56], [57].
T112 18558-18799 Sentence denotes Similarly, recent studies have shown that COVID-19 patients with diabetes, chronic obstructive pulmonary disease (COPD), cardiovascular diseases (CVD), hypertension, malignancies, and other comorbidities had a markedly higher mortality rate.
T113 18800-18967 Sentence denotes Elevated levels of ACE2 that were proposed to be associated with an increased susceptibility have been observed in COVID-19 patients with diabetes, COPD, and CVD [58].
T114 18968-19142 Sentence denotes Persons suffering from hypertension may also have increased ACE2 levels induced by heavy dosages of ACE2 inhibitors and angiotensin receptor blockers (ARBs) during treatment.
T115 19143-19263 Sentence denotes However, there has been no evidence that ACE inhibitors or ARBs affects the severity of COVID-19 [59], [60], [61], [62].
T116 19264-19395 Sentence denotes Apart from hypertension, patients with cancer were found to be more susceptible due to their systemic immunosuppressive state [63].
T117 19396-19520 Sentence denotes Patients with cancer had a significantly higher risk of ICU admission, requiring invasive ventilation, and death [63], [64].
T118 19521-19727 Sentence denotes Therefore, patient triage should be based on the presence and spectrum of comorbidities, which would allow for more intensive monitoring among patients at higher risk of developing severe clinical outcomes.
T119 19728-19897 Sentence denotes Meanwhile, radiotherapy and chemotherapy may be postponed for cancer patients who are clinically stable in order to minimize the risk of acquiring nosocomial infections.
T120 19898-19978 Sentence denotes The presence of systemic symptoms varied considerably among different countries.
T121 19979-20181 Sentence denotes A recent meta-analysis of 29 studies, mainly from China, demonstrated that anorexia was present in 21%, nausea and/or vomiting in 7%, diarrhea in 9%, and abdominal pain in 3% of the cases, respectively.
T122 20182-20340 Sentence denotes However, in a study from the United States, the systemic symptoms of anorexia (34.8%), diarrhea (33.7%), and nausea (26.4%) were found to be more common [14].
T123 20341-20458 Sentence denotes It is noteworthy that a small proportion of patients remained asymptomatic throughout the course of the disease [65].
T124 20459-20596 Sentence denotes Because of the atypical manifestations, contact tracing of asymptomatic patients is necessary after a positive viral RNA test [66], [67].
T125 20597-20733 Sentence denotes The first report of an asymptomatic patient was anecdotal, based on a chest CT scan of an infected child in a familial cluster of cases.
T126 20734-20860 Sentence denotes Further studies demonstrated that the proportion of asymptomatic patients ranged from 20% to 78% of positive cases [66], [68].
T127 20861-20947 Sentence denotes Of the 166 new cases identified on 1 April 2020 in China, 130 (78%) were asymptomatic.
T128 20948-21165 Sentence denotes Unlike symptomatic patients, hyposmia and nasal congestion were frequent among asymptomatic patients—regardless of whether they had positive CT scan findings or not—but uninfected patients could be excluded by RT-PCR.
T129 21166-21375 Sentence denotes Asymptomatic patients remained contagious; viral shedding was found to be most prominent before symptom onset, and the duration of shedding might be extended in comparison with symptomatic patients [69], [70].
T130 21376-21587 Sentence denotes However, the population of asymptomatic individuals may be highly heterogeneous, as such individuals may be in the earlier stages of the disease or could remain asymptomatic throughout the course of the disease.
T131 21589-21635 Sentence denotes 7 Prognostic prediction of critical illnesses
T132 21636-21707 Sentence denotes COVID-19 is characterized by rapid progression in a number of patients.
T133 21708-21951 Sentence denotes The case-fatality rate ranged from 1.4% in the general population by the statistic of 1099 cases, [39] to 49% in patients with critical illness in summary of a report of 72 314 cases from Chinese Center for Disease Control and Prevention [71].
T134 21952-22125 Sentence denotes Early identification of patients at risk of developing critical illness would allow for early triage, timely clinical management, and optimization of medical resources [72].
T135 22126-22367 Sentence denotes The overall problem encountered in China during the first few months of the epidemic was the difficulty of identifying patients who were more likely to develop severe illness out of the thousands of daily confirmed cases as soon as possible.
T136 22368-22466 Sentence denotes However, no tool was available at the initial stage of the epidemic to inform clinicians in China.
T137 22467-22637 Sentence denotes To address this urgent issue, a predictive risk score estimating whether a hospitalized patient with COVID-19 would be inclined to develop critical illness was developed.
T138 22638-22764 Sentence denotes A retrospective cohort of 1590 patients with COVID-19 from 575 hospitals in 31 provincial administrative regions was included.
T139 22765-23337 Sentence denotes By using the least absolute shrinkage and selection operator model, 19 common clinical variables (clinical features and blood test results, chest X-ray (CXR) abnormality, age, exposure to Wuhan, first and highest body temperature, respiratory rate, systolic blood pressure, hemoptysis, dyspnea, skin rash, unconsciousness, number of comorbidities, COPD, cancer, oxygen saturation levels, neutrophils, neutrophil-to-lymphocyte ratio, lactate dehydrogenase, direct bilirubin, and creatinine levels) remained to predict the likelihood of progressing to critical illness [72].
T140 23338-23591 Sentence denotes The deployment of an artificial intelligence (AI) system allowed a deep learning-based survival model to further establish an online calculation tool, which could differentiate patients with COVID-19 from those with other forms of common pneumonia [73].
T141 23592-23760 Sentence denotes A CT-based AI system could also assist in early diagnosis for triage, monitoring, and treatment, as well as in establishing a reference for longitudinal follow-up [74].
T142 23761-24005 Sentence denotes Since CT scanning provides more detailed information on pathology and gives a better quantitative measurement of the lesion’s size and the extent or severity of lung involvement, it may be a preferred tool, especially for point-of-care testing.
T143 24006-24277 Sentence denotes The rapid turnaround time of CT assessment, coupled with the application of an AI system, may help in the early triage of patients by significantly shortening the duration from clinical inspection to triage, especially when the healthcare system is overloaded [75], [76].
T144 24278-24484 Sentence denotes Dynamic changes in hematologic and immunologic biomarkers might also be valuable for informing clinicians of the severity of COVID-19 and enabling them to postulate the most probable clinical outcomes [77].
T145 24485-24593 Sentence denotes Peripheral blood lymphocyte, eosinophil, and platelet counts could serve as predictors for disease recovery.
T146 24594-24733 Sentence denotes Progressive increases in the numbers of neutrophils, basophils, and IL-6 levels have been found to be associated with a fatal outcome [18].
T147 24734-24898 Sentence denotes Regardless of the disease severity during the initial clinical visit, the absolute lymphocyte count remained substantially lower in non-survivors than in survivors.
T148 24899-25062 Sentence denotes In addition, higher levels of neutrophil count, IL-6, pro-calcitonin, D-dimer, amyloid A protein, and C-reactive protein have been identified in deceased patients.
T149 25063-25235 Sentence denotes Marked lymphopenia has also been associated with a fatal outcome; the platelet count was found to be significantly lower in severe patients and even lower in non-survivors.
T150 25236-25398 Sentence denotes These findings provide a scientific basis for implementing therapeutic interventions targeted at restoring the inflammatory cell count and inflammatory mediators.
T151 25400-25434 Sentence denotes 8 Advances in clinical management
T152 25435-25572 Sentence denotes Similar to the cases of SARS and MERS infection, no effective therapies with proven efficacy have been developed as yet against COVID-19.
T153 25573-25742 Sentence denotes Therefore, recommendations for therapeutic intervention (including supportive therapy) have been based on extrapolation of published guidelines or expert consensus [78].
T154 25743-25848 Sentence denotes Most pharmacological treatments were extrapolated from treatments used during the SARS or MERS outbreaks.
T155 25849-25950 Sentence denotes The main findings from the clinical trials of COVID-19 in mainland China were summarized in Table 1 .
T156 25951-26203 Sentence denotes However, at the initial stage of the COVID-19, few clinical trial findings were available to inform clinicians regarding which medications had the greatest efficacy in treating patients with COVID-19 and whether targeted therapies existed for COVID-19.
T157 26204-26296 Sentence denotes Table 1 Summary of the main findings from the clinical trials of COVID-19 in mainland China.
T158 26297-26398 Sentence denotes Treatment Target population Reduces viral loads Improvement in clinical outcomes Main adverse effects
T159 26399-26580 Sentence denotes Lopinavir–ritonavir Severe COVID-19 Probable No significant acceleration in the time to clinical improvement Gastrointestinal tract symptoms; impairment of liver and kidney function
T160 26581-26583 Sentence denotes 


T161 26584-26756 Sentence denotes Remdesivir Severe COVID-19 Probable No significant acceleration in the time to clinical improvement Gastrointestinal tract symptoms; impairment of liver and kidney function
T162 26757-26759 Sentence denotes 


T163 26760-26913 Sentence denotes Favipiravir Severe COVID-19 Yes Increase the rate of improvement of chest computed tomographic findings Diarrhea; impairment of liver and kidney function
T164 26914-26916 Sentence denotes 


T165 26917-27094 Sentence denotes Chloroquine Moderate-to-severe COVID-19 Yes No significant acceleration in the time to clinical improvement Prolongation of Qt intervals; impairment of liver and kidney function
T166 27095-27097 Sentence denotes 


T167 27098-27222 Sentence denotes Convalescent plasma Critical illness of COVID-19 Yes No significant acceleration in the time to clinical improvement Unknown
T168 27223-27225 Sentence denotes 


T169 27226-27385 Sentence denotes Lianhuaqingwen capsule Moderate COVID-19 No Accelerate symptom improvement and increase the rate of symptom improvement impairment of liver and kidney function
T170 27386-27388 Sentence denotes 


T171 27389-27581 Sentence denotes Granulocyte colony stimulating factor Lymphopenic patients with COVID-19 No Decrease the likelihood of disease progression and increase the rate of symptom improvement Leukocytosis; osteodynia
T172 27582-27584 Sentence denotes 


T173 27585-27712 Sentence denotes Hydrogen oxygen mixed gas inhalation Symptomatic patients with COVID-19 Unknown Rapidly ameliorate respiratory symptoms Unknown
T174 27713-27940 Sentence denotes The fact that viral infection (including viral sepsis) [79] remains the key driver of the pathogenesis of COVID-19 has fueled research exploring the efficacy of antiviral medications in patients with severe or critical illness.
T175 27941-28246 Sentence denotes Taking into account the findings from in vitro [80], [81] and in vivo studies [82], [83], [84], lopinavir/ritonavir, remdesivir, and chloroquine (previously intended for the treatment of Ebola virus or human immunodeficiency virus (HIV) infections) have been repurposed for combating SARS-CoV-2 infection.
T176 28247-28493 Sentence denotes In a randomized clinical trial conducted in the early stage of the epidemic in China, patients with severe COVID-19 were assigned to receive standard-of-care alone or in combination with a 14-day course of treatment with lopinavir/ritonavir [82].
T177 28494-28654 Sentence denotes Neither the duration from randomization to clinical improvement nor the mortality rate differed significantly between the treatment group and the control group.
T178 28655-28846 Sentence denotes Subsequently, in another double-blinded clinical trial, patients with severe COVID-19 were randomly allocated to receive standard-of-care alone or in combination with 10 d of remdesivir [81].
T179 28847-28971 Sentence denotes Again, there was no significant difference in the time to clinical improvement, which was the primary endpoint of the study.
T180 28972-29096 Sentence denotes Neither lopinavir/ritonavir nor remdesivir markedly reduced viral loads, as monitored dynamically throughout the two trials.
T181 29097-29162 Sentence denotes Several reasons could have accounted for these negative findings.
T182 29163-29350 Sentence denotes It was notable that patients entered the clinical trials after a median duration of 11–13 d, which could have diminished the efficacy as compared with earlier administration of the drugs.
T183 29351-29500 Sentence denotes In fact, early administration of lopinavir/ritonavir (within 10 d of symptom onset) has been associated with a shorter course of viral shedding [83].
T184 29501-29787 Sentence denotes Moreover, both of these trials might have been underpowered for statistical analysis due to the emergency of the outbreak and the premature cessation of patient recruitment (there was difficulty in recruiting sufficient patients once the epidemiologic curve has flattened within Wuhan).
T185 29788-29906 Sentence denotes Nevertheless, the results did not preclude the use of lopinavir/ritonavir and remdesivir for severe cases of COVID-19.
T186 29907-30223 Sentence denotes Both trials indicated a numerically faster time to clinical improvement in the treatment group [82], [85] and, in a more recent clinical trial, administration of remdesivir for 10 d was associated with a faster time to clinical improvement and a lower mortality rate by 14 d, as compared with the placebo group [86].
T187 30224-30411 Sentence denotes Furthermore, when administered in combination with IFN-β and ribavirin, lopinavir/ritonavir has been associated with a marked reduction in viral loads compared with usual care alone [87].
T188 30412-30530 Sentence denotes Therefore, combined antiviral medications might have a role in accelerating viral clearance in patients with COVID-19.
T189 30531-30623 Sentence denotes Several other candidate medications have also been tested in clinical settings for COVID-19.
T190 30624-30720 Sentence denotes The effects of chloroquine and hydroxychloroquine on patients with COVID-19 remain under debate.
T191 30721-31032 Sentence denotes While chloroquine effectively reduced viral loads and achieved negative conversion of viral assays in hospitalized patients [88], the administration of hydroxychloroquine failed to increase the probability of achieving negative conversion of viral assays by 28 d in patients with mild-to-moderate COVID-19 [84].
T192 31033-31276 Sentence denotes In a pilot open-label study, favipiravir was shown to markedly shorten the time to viral clearance and increase the rate of improvement in chest imaging compared with a combination treatment with lopinavir/ritonavir plus IFN-α inhalation [89].
T193 31277-31381 Sentence denotes This finding added to the scientific evidence on candidate medications with potent antiviral activities.
T194 31382-31564 Sentence denotes Apart from heightened inflammatory response and viral infections, the aberrant immune response has been the canonical pathophysiological change leading to the poor clinical outcomes.
T195 31565-31702 Sentence denotes Lymphopenia was identified in up to 80% of patients with COVID-19 and was significantly correlated with the risk of mortality [39], [90].
T196 31703-31938 Sentence denotes Mobilizing the trafficking of lymphocytes to the peripheral blood with recombinant human granulocyte colony stimulating factor (rhG-CSF) might represent an appealing therapeutic approach for patients with COVID-19 who have lymphopenia.
T197 31939-32314 Sentence denotes A recent randomized clinical trial revealed that, despite the failure to accelerate clinical improvement, rhG-CSF markedly increased CD8+ T cell and natural killer (NK) cell count while reducing the risk of progression to critical illness or death compared with the usual care alone [91], particularly in patients with a blood lymphocyte count below 400 per cubic milliliter.
T198 32315-32414 Sentence denotes Mechanistic studies unraveling the mode of actions of rhG-CSF in patients with COVID-19 are needed.
T199 32415-32594 Sentence denotes Corticosteroids confer powerful anti-inflammatory effects and hence may ameliorate inflammation-mediated lung injury, thus preventing progression to respiratory failure and death.
T200 32595-32804 Sentence denotes In an observational study, the use of methylprednisolone was found to be associated with a markedly lower risk of mortality in patients with COVID-19 who had developed acute respiratory distress syndrome [92].
T201 32805-33222 Sentence denotes In an echo of these findings, a recent clinical trial recruiting hospitalized patients with COVID-19 showed that the oral or intravenous administration of dexamethasone (6 mg·d–1) for up to 10 d resulted in a markedly lower 28-day mortality in comparison with the control group among patients receiving invasive mechanical ventilation at randomization or receiving oxygen without invasive mechanical ventilation [93].
T202 33223-33372 Sentence denotes The benefit was also clear in patients who were being treated more than 7 d after symptom onset, when inflammatory lung damage became more prominent.
T203 33373-33542 Sentence denotes However, no significant effects were observed among patients not receiving any respiratory support, which was in line with the findings from a recent meta-analysis [94].
T204 33543-33626 Sentence denotes Targeted therapy has been very limited among critically ill patients with COVID-19.
T205 33627-33796 Sentence denotes By extrapolating from experience in managing patients with SARS and MERS, efforts have been made to treat critically ill patients with COVID-19 with convalescent plasma.
T206 33797-33959 Sentence denotes In a pilot single-arm study with five patients, convalescent plasma with high-titers neutralizing antibodies appeared to improve the overall clinical status [95].
T207 33960-34144 Sentence denotes On the basis of usual care in a randomized clinical trial, convalescent plasma therapy did not confer additional benefits in terms of the time to clinical improvement within 28 d [69].
T208 34145-34494 Sentence denotes However, convalescent plasma did show clinical benefits in the subgroup of severe patients, albeit not in critically ill patients. [96] Nevertheless, the bona fide therapeutic benefits of convalescent plasma cannot be precluded, as the trial was underpowered for analysis due to the difficulty in recruiting patients at later stages of the outbreak.
T209 34495-34701 Sentence denotes Although there was no statistically significant difference, a possible clinical benefit was observed for patients with severe COVID-19 but not for patient subgroups with a life-threatening level of illness.
T210 34702-34819 Sentence denotes Several studies in China have observed disseminated intravascular coagulation (DIC) in most non-survivors [97], [98].
T211 34820-35003 Sentence denotes Significantly higher levels of D-dimer and fibrin degradation products, as well as a longer prothrombin time, suggested that coagulopathy might be associated with poor prognosis [99].
T212 35004-35100 Sentence denotes The dynamic changes in D-dimer levels correlated positively with the prognosis of COVID-19 [98].
T213 35101-35349 Sentence denotes Patients with a sepsis-induced coagulopathy score greater than or equal to 4, or a D-dimer level greater than six times the upper limit of normal, exhibited a lower mortality rate when receiving low molecular weight heparin for 7 d or longer [100].
T214 35350-35567 Sentence denotes When given anticoagulant treatment, attention should be paid to avoid the development of diffuse alveolar hemorrhage, which is a life-threatening complication that may occur after the administration of warfarin [101].
T215 35568-35659 Sentence denotes Non-pharmacological interventions might have a role in the clinical management of COVID-19.
T216 35660-35784 Sentence denotes Patients with COVID-19 have been characterized by increasingly laborious breathing as a result of greater airway resistance.
T217 35785-35972 Sentence denotes Due to smaller molecular weight, helium–oxygen mixed gas has been applied to ameliorate dyspnea in patients with respiratory failure [102] and chronic obstructive pulmonary disease [103].
T218 35973-36101 Sentence denotes However, due to the low cost-effectiveness ratio, helium–oxygen mixed gas has not been extensively adopted in clinical practice.
T219 36102-36290 Sentence denotes In contrast, hydrogen/oxygen mixed gas (H2–O2) could be generated via the direct electrolysis of water with the use of a commercialized instrument, and could be adopted for home use [104].
T220 36291-36410 Sentence denotes H2–O2 inhalation has recently been shown to markedly ameliorate dyspnea in patients with central airway stenosis [104].
T221 36411-36548 Sentence denotes It is essential to determine whether H2–O2 inhalation would result in a major clinical improvement in symptomatic patients with COVID-19.
T222 36549-36857 Sentence denotes In an open-label multicenter clinical trial, H2–O2 inhalation led to a marked and rapid amelioration of the key respiratory symptoms (including dyspnea, chest pain, and cough scale) and improved the resting oxygen saturation and disease severity in patients with COVID-19 who had dyspnea at enrollment [105].
T223 36858-37085 Sentence denotes Based on these findings, H2–O2 inhalation has been endorsed by the National Health Commission of the People’s Republic of China for COVID-19 patients with dyspnea or those in facilities without sufficient oxygen supplies [106].
T224 37086-37167 Sentence denotes Traditional Chinese medicine has been a treasure trove of complementary medicine.
T225 37168-37285 Sentence denotes Efforts have been made to explore the effects of a panel of herbal formulas for the management of SARS and influenza.
T226 37286-37401 Sentence denotes For example, Lianhuaqingwen (LH) capsule has been approved for the treatment of mild-to-moderate SARS [107], [108].
T227 37402-37626 Sentence denotes Therefore, priority could be given to the development of LH capsules, because off label marketing medications would help reduce the time for research and development (R&D) against other candidate medications in the pipeline.
T228 37627-37718 Sentence denotes In an in vitro study, LH capsule yielded potent antiviral effects against SARS-CoV-2 [109].
T229 37719-37895 Sentence denotes Based on these observations, a multicenter randomized clinical trial was undertaken to determine the effectiveness of LH capsule plus usual care, versus usual care alone [110].
T230 37896-38132 Sentence denotes At Day 14, treatment with LH capsule was associated with a significantly higher rate of symptom recovery and a markedly shortened time to symptom recovery, although no differences in the viral loads were observed between the two groups.
T231 38133-38382 Sentence denotes It is notable that these therapeutic effects might not be related to the antiviral effects because the serum concentrations of LH capsule were markedly lower than those reported in the in vitro study in which the antiviral effects were potent [109].
T232 38383-38543 Sentence denotes LH capsules also exhibited anti-inflammatory and anti-oxidative effects via suppressing cytokine release, according to the results from an in vitro study [110].
T233 38544-38728 Sentence denotes These findings have resulted in the endorsement of LH capsules by the National Health Commission of the People’s Republic of China for the treatment of mild-to-moderate COVID-19 [106].
T234 38729-38905 Sentence denotes Apart from LH capsules, other candidate herbal formulas such as Xuebijing injection and Liu Shen capsule have demonstrated antiviral activities against SARS-CoV-2 [111], [112].
T235 38906-39079 Sentence denotes Multicenter clinical trials to determine the efficacy of these herbal formulas (i.e., Xuebijing injection for severe or critically ill cases with COVID-19) are now underway.
T236 39081-39103 Sentence denotes 9 Vaccine development
T237 39104-39242 Sentence denotes Despite tremendous global efforts to contain the outbreak and rapid advances in therapeutics, few targeted approaches have been available.
T238 39243-39445 Sentence denotes Given the rapid transmission and the rapid decay of antibody titers [113], vaccines that can induce strong anti-SARS-CoV-2 immune responses are urgently needed to achieve global containment of COVID-19.
T239 39446-39549 Sentence denotes Vaccine development has benefited from the early release of the complete genome sequence of SARS-CoV-2.
T240 39550-39719 Sentence denotes As of 3 September 2020, according to the WHO, 33 vaccine candidates are at different stages of clinical development, six of which are at phase III clinical trials [114].
T241 39720-39829 Sentence denotes On 22 July 2020, China approved the use of two inactivated COVID-19 vaccines developed by Sinovac Biotech Co.
T242 39830-39841 Sentence denotes Ltd. [115].
T243 39842-39963 Sentence denotes Another adenovirus vector-based SARS-CoV-2 vaccine was approved by the administrative office of Russia on 10 August 2020.
T244 39964-40063 Sentence denotes U.S. authorities have recently announced the pending approval of a vaccine by the end of this year.
T245 40064-40268 Sentence denotes In public health emergencies, such as the COVID-19 pandemic, regulators are expected to act quickly to support accelerated vaccine development through the introduction of increased regulatory flexibility.
T246 40269-40519 Sentence denotes To guide the accelerated vaccine development and approval for COVID-19, the Chinese regulatory agencies and the National Medical Products Administration (NMPA) have issued seven guidelines since March 2020 to provide a roadmap and requirements [116].
T247 40520-40669 Sentence denotes Moreover, the Chinese NMPA has formulated a special scheme to synchronize the protocol reviewing process with the research and development processes.
T248 40670-40856 Sentence denotes Consequently, completion of the vaccine development and the review may take place simultaneously so that the vaccine development can proceed to clinical application without major delays.
T249 40857-41020 Sentence denotes For example, the NMPA completed the review process of the Sinopharm COVID-19 vaccine application within just 24 h, although such a review would normally take 60 d.
T250 41021-41255 Sentence denotes Thus far, there have been ten Chinese COVID-19 vaccine candidates in the pipeline of clinical trials [114], [117], [118], [119], [120], [121], [122], [123], in four of which international phase III clinical trials have been initiated.
T251 41256-41355 Sentence denotes Furthermore, more than 21 preclinical projects may have the potential to move into clinical trials.
T252 41356-41603 Sentence denotes Nearly all of the current human vaccines are based on two major platforms: the virus-based (inactivated/attenuated) vaccine platform and the recombinant protein-based (subunit/virus-like particle (VLP)) vaccine platform [120], [124], [125], [126].
T253 41604-41730 Sentence denotes Four “inactivated virus vaccines” are in post-phase II clinical trials, and two of these have been approved for emergency use.
T254 41731-41931 Sentence denotes This major achievement from the “inactivated virus vaccine platform” in China was made possible by the early development of the inactivated enterovirus 71 and inactivated poliovirus vaccines in China.
T255 41932-42213 Sentence denotes A replication-defective human adenovirus type-5-based COVD-19 vaccine encoding the full S protein of SARS-CoV-2 as a subunit-based vaccine was found to successfully elicit cellular immune responses via single-dose inoculation through the intramuscular or intranasal administration.
T256 42214-42323 Sentence denotes This vaccine could effectively prevent SARS-CoV-2 infection in the higher and lower respiratory tracts [127].
T257 42324-42485 Sentence denotes Moreover, mucosal vaccination might be more effective in preventing viral replication in the upper respiratory tract, as compared with intramuscular vaccination.
T258 42487-42498 Sentence denotes 10 Summary
T259 42499-42668 Sentence denotes The COVID-19 pandemic is an unprecedented global threat that has resulted in substantial morbidity and mortality and has dramatically disrupted socioeconomic activities.
T260 42669-42862 Sentence denotes Building on its experience in fighting against SARS and MERS, China has quickly adopted effective measures to curb the surge of cases and ultimately contain the epidemic (as shown in Table 2 ).
T261 42863-43047 Sentence denotes The principles of early detection, early isolation, early management, and early prevention are the key steps to achieve effective containment of this rapidly spreading global pandemic.
T262 43048-43153 Sentence denotes Table 2 Summary of the advances and interventions contributing to COVID-19 containment in mainland China.
T263 43154-43183 Sentence denotes Advance/intervention Measures
T264 43184-43272 Sentence denotes Non-pharmaceutical interventions Announcing the potential of human-to-human transmission
T265 43273-43334 Sentence denotes Lockdown of Wuhan and other adjacent cities in Hubei province
T266 43335-43381 Sentence denotes Imposing restrictions on all social activities
T267 43382-43438 Sentence denotes Enforcing national and international travel restrictions
T268 43439-43441 Sentence denotes 


T269 43442-43553 Sentence denotes Clinical characterization and epidemiologic advances Comprehensive characterization of the viral ultrastructure
T270 43554-43633 Sentence denotes Revealing the route for SARS-CoV-2 transmission (including fomite transmission)
T271 43634-43703 Sentence denotes Defining the clinical and epidemiological characteristics of COVID-19
T272 43704-43762 Sentence denotes Demonstration of the immune regulation network of COVID-19
T273 43763-43845 Sentence denotes AI prediction of the epidemics trend of COVID-19 under public health interventions
T274 43846-43848 Sentence denotes 


T275 43849-44077 Sentence denotes Therapeutic interventions Validation of the efficacy and safety of repurposed drugs, especially traditional Chinese medicines (Lianhuaqingwen capsule, Xuebijing injection, and Liu Shen capsule), for accelerating symptom recovery
T276 44078-44312 Sentence denotes Validation of the efficacy and safety of H2–O2 inhalation and endorsement by the National Health Commission of the People’s Republic of China for COVID-19 patients with dyspnea or those in facilities without sufficient oxygen supplies
T277 44313-44428 Sentence denotes Validation of the efficacy and safety of granulocyte colony stimulating factor for patients with marked lymphopenia
T278 44429-44431 Sentence denotes 


T279 44432-44503 Sentence denotes Diagnosis Development of PCR- and serology-based rapid detection method
T280 44504-44598 Sentence denotes Development of the portable, laboratory-instrument-independent CRISPR/Cas method for detection
T281 44599-44601 Sentence denotes 


T282 44602-44721 Sentence denotes Prognostic prediction Identification of hematologic and immunologic biomarkers that correlate with the disease severity
T283 44722-44809 Sentence denotes Establishment of AI model to predict the likelihood of developing into critical illness
T284 44811-44844 Sentence denotes Declaration of Competing Interest
T285 44845-45015 Sentence denotes The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

MyTest

Id Subject Object Predicate Lexical cue
33078078-32007145-28132350 407-408 32007145 denotes 1
33078078-27012512-28132351 967-968 27012512 denotes 4
33078078-32083985-28132352 2807-2808 32083985 denotes 6
33078078-31978945-28132353 2812-2813 31978945 denotes 7
33078078-32315723-28132354 3098-3099 32315723 denotes 8
33078078-32365354-28132355 3387-3388 32365354 denotes 9
33078078-32365354-28132356 4119-4120 32365354 denotes 9
33078078-32083985-28132357 5580-5581 32083985 denotes 6
33078078-31978945-28132358 5820-5821 31978945 denotes 7
33078078-31978945-28132359 5966-5967 31978945 denotes 7
33078078-32257431-28132360 6138-6140 32257431 denotes 11
33078078-32165541-28132361 6898-6900 32165541 denotes 13
33078078-32651579-28132362 7343-7345 32651579 denotes 14
33078078-32651579-28132363 7713-7715 32651579 denotes 14
33078078-32437596-28132364 7913-7915 32437596 denotes 15
33078078-32612617-28132365 8089-8091 32612617 denotes 16
33078078-32407836-28132366 8777-8779 32407836 denotes 18
33078078-32624257-28132367 9524-9526 32624257 denotes 20
33078078-32074444-28132368 9821-9823 32074444 denotes 22
33078078-32522874-28132369 10836-10838 32522874 denotes 24
33078078-32464271-28132370 11109-11111 32464271 denotes 26
33078078-32742035-28132371 11121-11123 32742035 denotes 28
33078078-32742035-28132372 12015-12017 32742035 denotes 28
33078078-32159775-28132373 12578-12580 32159775 denotes 30
33078078-32004427-28132374 12808-12810 32004427 denotes 31
33078078-32065057-28132375 12814-12816 32065057 denotes 32
33078078-32199469-28132376 12820-12822 32199469 denotes 33
33078078-32241899-28132377 12938-12940 32241899 denotes 35
33078078-32287140-28132378 12944-12946 32287140 denotes 36
33078078-32109013-28132379 14019-14021 32109013 denotes 39
33078078-32459192-28132380 14608-14610 32459192 denotes 43
33078078-32357808-28132381 15246-15248 32357808 denotes 45
33078078-32357808-28132382 15367-15369 32357808 denotes 45
33078078-32357808-28132383 15486-15488 32357808 denotes 45
33078078-32401064-28132384 16273-16275 32401064 denotes 49
33078078-32349121-28132385 16279-16281 32349121 denotes 50
33078078-32300245-28132386 16285-16287 32300245 denotes 51
33078078-31986264-28132387 17209-17211 31986264 denotes 52
33078078-32109013-28132388 17383-17385 32109013 denotes 39
33078078-32109013-28132389 17731-17733 32109013 denotes 39
33078078-32217650-28132390 18541-18543 32217650 denotes 55
33078078-31855530-28132391 18547-18549 31855530 denotes 56
33078078-12734147-28132392 18553-18555 12734147 denotes 57
33078078-32356628-28132393 19247-19249 32356628 denotes 60
33078078-32356627-28132394 19259-19261 32356627 denotes 62
33078078-32066541-28132395 19391-19393 32066541 denotes 63
33078078-32066541-28132396 19510-19512 32066541 denotes 63
33078078-32345594-28132397 19516-19518 32345594 denotes 64
33078078-32651579-28132398 20336-20338 32651579 denotes 14
33078078-32491919-28132399 20454-20456 32491919 denotes 65
33078078-32109013-28132400 21807-21809 32109013 denotes 39
33078078-32091533-28132401 21947-21949 32091533 denotes 71
33078078-32669540-28132402 23587-23589 32669540 denotes 73
33078078-32427924-28132403 24267-24269 32427924 denotes 75
33078078-32888496-28132404 24273-24275 32888496 denotes 76
33078078-32357808-28132405 24480-24482 32357808 denotes 77
33078078-32407836-28132406 24729-24731 32407836 denotes 18
33078078-32307014-28132407 25738-25740 32307014 denotes 78
33078078-32311318-28132408 27769-27771 32311318 denotes 79
33078078-15288617-28132409 27989-27991 15288617 denotes 80
33078078-32020029-28132410 27995-27997 32020029 denotes 81
33078078-32187464-28132411 28020-28022 32187464 denotes 82
33078078-32430428-28132412 28026-28028 32430428 denotes 83
33078078-32187464-28132413 28489-28491 32187464 denotes 82
33078078-32020029-28132414 28842-28844 32020029 denotes 81
33078078-32430428-28132415 29496-29498 32430428 denotes 83
33078078-32187464-28132416 30003-30005 32187464 denotes 82
33078078-32423584-28132417 30009-30011 32423584 denotes 85
33078078-32401715-28132418 30407-30409 32401715 denotes 87
33078078-32109013-28132419 31692-31694 32109013 denotes 39
33078078-32087116-28132420 31698-31700 32087116 denotes 90
33078078-32219428-28132421 33955-33957 32219428 denotes 95
33078078-32492084-28132422 34277-34279 32492084 denotes 96
33078078-32420615-28132423 34815-34817 32420615 denotes 98
33078078-32073213-28132424 34999-35001 32073213 denotes 99
33078078-32420615-28132425 35096-35098 32420615 denotes 98
33078078-32220112-28132426 35344-35347 32220112 denotes 100
33078078-30809261-28132427 35562-35565 30809261 denotes 101
33078078-19450268-28132428 35919-35922 19450268 denotes 102
33078078-27736154-28132429 35967-35970 27736154 denotes 103
33078078-30227423-28132430 36285-36288 30227423 denotes 104
33078078-30227423-28132431 36405-36408 30227423 denotes 104
33078078-32642277-28132432 36852-36855 32642277 denotes 105
33078078-32788835-28132433 37396-37399 32788835 denotes 108
33078078-32527346-28132434 38900-38903 32527346 denotes 112
33078078-32702299-28132435 41158-41161 32702299 denotes 121
33078078-32702299-28132436 41591-41594 32702299 denotes 125
33078078-32702298-28132437 41598-41601 32702298 denotes 126
33078078-32796842-28132438 42318-42321 32796842 denotes 127

2_test

Id Subject Object Predicate Lexical cue
33078078-32007145-28132350 407-408 32007145 denotes 1
33078078-27012512-28132351 967-968 27012512 denotes 4
33078078-32083985-28132352 2807-2808 32083985 denotes 6
33078078-31978945-28132353 2812-2813 31978945 denotes 7
33078078-32315723-28132354 3098-3099 32315723 denotes 8
33078078-32365354-28132355 3387-3388 32365354 denotes 9
33078078-32365354-28132356 4119-4120 32365354 denotes 9
33078078-32083985-28132357 5580-5581 32083985 denotes 6
33078078-31978945-28132358 5820-5821 31978945 denotes 7
33078078-31978945-28132359 5966-5967 31978945 denotes 7
33078078-32257431-28132360 6138-6140 32257431 denotes 11
33078078-32165541-28132361 6898-6900 32165541 denotes 13
33078078-32651579-28132362 7343-7345 32651579 denotes 14
33078078-32651579-28132363 7713-7715 32651579 denotes 14
33078078-32437596-28132364 7913-7915 32437596 denotes 15
33078078-32612617-28132365 8089-8091 32612617 denotes 16
33078078-32407836-28132366 8777-8779 32407836 denotes 18
33078078-32624257-28132367 9524-9526 32624257 denotes 20
33078078-32074444-28132368 9821-9823 32074444 denotes 22
33078078-32522874-28132369 10836-10838 32522874 denotes 24
33078078-32464271-28132370 11109-11111 32464271 denotes 26
33078078-32742035-28132371 11121-11123 32742035 denotes 28
33078078-32742035-28132372 12015-12017 32742035 denotes 28
33078078-32159775-28132373 12578-12580 32159775 denotes 30
33078078-32004427-28132374 12808-12810 32004427 denotes 31
33078078-32065057-28132375 12814-12816 32065057 denotes 32
33078078-32199469-28132376 12820-12822 32199469 denotes 33
33078078-32241899-28132377 12938-12940 32241899 denotes 35
33078078-32287140-28132378 12944-12946 32287140 denotes 36
33078078-32109013-28132379 14019-14021 32109013 denotes 39
33078078-32459192-28132380 14608-14610 32459192 denotes 43
33078078-32357808-28132381 15246-15248 32357808 denotes 45
33078078-32357808-28132382 15367-15369 32357808 denotes 45
33078078-32357808-28132383 15486-15488 32357808 denotes 45
33078078-32401064-28132384 16273-16275 32401064 denotes 49
33078078-32349121-28132385 16279-16281 32349121 denotes 50
33078078-32300245-28132386 16285-16287 32300245 denotes 51
33078078-31986264-28132387 17209-17211 31986264 denotes 52
33078078-32109013-28132388 17383-17385 32109013 denotes 39
33078078-32109013-28132389 17731-17733 32109013 denotes 39
33078078-32217650-28132390 18541-18543 32217650 denotes 55
33078078-31855530-28132391 18547-18549 31855530 denotes 56
33078078-12734147-28132392 18553-18555 12734147 denotes 57
33078078-32356628-28132393 19247-19249 32356628 denotes 60
33078078-32356627-28132394 19259-19261 32356627 denotes 62
33078078-32066541-28132395 19391-19393 32066541 denotes 63
33078078-32066541-28132396 19510-19512 32066541 denotes 63
33078078-32345594-28132397 19516-19518 32345594 denotes 64
33078078-32651579-28132398 20336-20338 32651579 denotes 14
33078078-32491919-28132399 20454-20456 32491919 denotes 65
33078078-32109013-28132400 21807-21809 32109013 denotes 39
33078078-32091533-28132401 21947-21949 32091533 denotes 71
33078078-32669540-28132402 23587-23589 32669540 denotes 73
33078078-32427924-28132403 24267-24269 32427924 denotes 75
33078078-32888496-28132404 24273-24275 32888496 denotes 76
33078078-32357808-28132405 24480-24482 32357808 denotes 77
33078078-32407836-28132406 24729-24731 32407836 denotes 18
33078078-32307014-28132407 25738-25740 32307014 denotes 78
33078078-32311318-28132408 27769-27771 32311318 denotes 79
33078078-15288617-28132409 27989-27991 15288617 denotes 80
33078078-32020029-28132410 27995-27997 32020029 denotes 81
33078078-32187464-28132411 28020-28022 32187464 denotes 82
33078078-32430428-28132412 28026-28028 32430428 denotes 83
33078078-32187464-28132413 28489-28491 32187464 denotes 82
33078078-32020029-28132414 28842-28844 32020029 denotes 81
33078078-32430428-28132415 29496-29498 32430428 denotes 83
33078078-32187464-28132416 30003-30005 32187464 denotes 82
33078078-32423584-28132417 30009-30011 32423584 denotes 85
33078078-32401715-28132418 30407-30409 32401715 denotes 87
33078078-32109013-28132419 31692-31694 32109013 denotes 39
33078078-32087116-28132420 31698-31700 32087116 denotes 90
33078078-32219428-28132421 33955-33957 32219428 denotes 95
33078078-32492084-28132422 34277-34279 32492084 denotes 96
33078078-32420615-28132423 34815-34817 32420615 denotes 98
33078078-32073213-28132424 34999-35001 32073213 denotes 99
33078078-32420615-28132425 35096-35098 32420615 denotes 98
33078078-32220112-28132426 35344-35347 32220112 denotes 100
33078078-30809261-28132427 35562-35565 30809261 denotes 101
33078078-19450268-28132428 35919-35922 19450268 denotes 102
33078078-27736154-28132429 35967-35970 27736154 denotes 103
33078078-30227423-28132430 36285-36288 30227423 denotes 104
33078078-30227423-28132431 36405-36408 30227423 denotes 104
33078078-32642277-28132432 36852-36855 32642277 denotes 105
33078078-32788835-28132433 37396-37399 32788835 denotes 108
33078078-32527346-28132434 38900-38903 32527346 denotes 112
33078078-32702299-28132435 41158-41161 32702299 denotes 121
33078078-32702299-28132436 41591-41594 32702299 denotes 125
33078078-32702298-28132437 41598-41601 32702298 denotes 126
33078078-32796842-28132438 42318-42321 32796842 denotes 127