Id |
Subject |
Object |
Predicate |
Lexical cue |
T65 |
0-113 |
Sentence |
denotes |
Blood Routine and Circulating Markers of Systemic Inflammation Indicated Dysregulated Immune Response in COVID-19 |
T66 |
114-324 |
Sentence |
denotes |
Demographic and laboratory findings of the 50 recruited COVID-19 patients (Tables 1 and S1) were in good agreement with published literature on clinical characteristics of COVID-19 in China (Guan et al., 2020). |
T67 |
325-517 |
Sentence |
denotes |
Reductions in lymphocyte count (LC) (p < 0.0001) (Table S1), particularly in the numbers of T lymphocytes and CD4+ T lymphocytes (Figure S1A), were associated with increasing disease severity. |
T68 |
518-796 |
Sentence |
denotes |
Our observations were aligned with previous findings on laboratory-confirmed COVID-19 cases in Wuhan for which particularly drastic reductions in CD4+ T cell counts indicative of dysregulated immune response were noted, especially in severe COVID-19 patients (Qin et al., 2020). |
T69 |
797-1117 |
Sentence |
denotes |
Indices of systemic inflammation, including C-reactive protein (CRP) (p = 0.0003), interleukin-6 (IL-6) (p = 0.0958), erythrocyte sedimentation rate (ESR) (p = 0.0008), serum ferritin (SF) (p = 0.0001), and procalcitonin (p = 0.0171), exhibited progressive increases as disease severity increased (Figure S1B; Table S1). |
T70 |
1118-1267 |
Sentence |
denotes |
We utilized a combination of targeted lipidomics (Lu et al., 2019) and untargeted metabolomics optimized in-house for screening human plasma samples. |
T71 |
1268-1453 |
Sentence |
denotes |
Our untargeted metabolomics detected an initial pool of 1,552 metabolite peaks with coefficients of variations <20% across quality control samples after subtraction of background noise. |
T72 |
1454-1699 |
Sentence |
denotes |
After proceeding to structural confirmation based on tandem mass spectrometry (MS/MS) spectra, the consolidated plasma metabolome finally contained 1,002 metabolites (598 lipids and 404 polar metabolites) quantitated using 71 internal standards. |
T73 |
1700-1770 |
Sentence |
denotes |
Table 1 Demographics and Baseline Characteristics of COVID-19 Patients |
T74 |
1771-1841 |
Sentence |
denotes |
Total (n = 50) Mild (n = 18) Moderate (n = 19) Severe (n = 13) p Value |
T75 |
1842-1857 |
Sentence |
denotes |
Characteristics |
T76 |
1858-1942 |
Sentence |
denotes |
Age, years 43.0 (34.3–53.8) 32.0 (22.3–40.0) 45.0 (38.0–53.5) 50.0 (40.0–78.0) 0.001 |
T77 |
1943-2050 |
Sentence |
denotes |
Onset of symptom to hospital admission, days 5.0 (3.0–8.0) 4.0 (2.0–5.0) 6.0 (4.0–7.0) 8.0 (5.0–10.0) 0.023 |
T78 |
2051-2155 |
Sentence |
denotes |
Duration of hospitalization, days 19.0 (11.0–27.0) 8.5 (5.3–19.0) 19.0 (13.0–27.0) 27.0 (20.0–36.0) 0.02 |
T79 |
2156-2165 |
Sentence |
denotes |
Sex 0.525 |
T80 |
2166-2204 |
Sentence |
denotes |
Men 30 (60%) 9 (50%) 12 (63%) 9 (69%) |
T81 |
2205-2244 |
Sentence |
denotes |
Women 20 (40%) 9 (50%) 7 (37%) 4 (31%) |
T82 |
2245-2302 |
Sentence |
denotes |
Exposure to Wuhan 26 (52%) 13 (72%) 7 (37%) 6 (46%) 0.087 |
T83 |
2303-2357 |
Sentence |
denotes |
Any comorbidity 18 (36%) 3 (17%) 7 (37%) 8 (62%) 0.037 |
T84 |
2358-2403 |
Sentence |
denotes |
Hypertension 8 (16%) 0 3 (16%) 5 (38%) 0.016 |
T85 |
2404-2450 |
Sentence |
denotes |
Diabetes 5 (10%) 1 (6%) 2 (11%) 2 (15%) 0.664 |
T86 |
2451-2486 |
Sentence |
denotes |
Malignancy 1 (2%) 0 0 1 (8%) 0.234 |
T87 |
2487-2515 |
Sentence |
denotes |
HIV 1 (2%) 0 0 1 (8%) 0.234 |
T88 |
2516-2563 |
Sentence |
denotes |
Chronic liver disease 2 (4%) 0 0 2 (15%) 0.052 |
T89 |
2564-2594 |
Sentence |
denotes |
Death 2 (4%) 0 0 2 (15%) 0.052 |
T90 |
2595-2613 |
Sentence |
denotes |
Signs and Symptoms |
T91 |
2614-2661 |
Sentence |
denotes |
Fever 42 (84%) 13 (72%) 18 (95%) 11 (85%) 0.175 |
T92 |
2662-2690 |
Sentence |
denotes |
Highest temperature,°C 0.702 |
T93 |
2691-2728 |
Sentence |
denotes |
<37.3 8 (16%) 5 (28%) 1 (5%) 2 (15%) |
T94 |
2729-2772 |
Sentence |
denotes |
37.3–38.0 12 (24%) 4 (22%) 5 (26%) 3 (23%) |
T95 |
2773-2817 |
Sentence |
denotes |
38.1–39.0 22 (44%) 6 (33%) 10 (53%) 6 (46%) |
T96 |
2818-2856 |
Sentence |
denotes |
>39.0 8 (16%) 3 (17%) 3 (16%) 2 (15%) |
T97 |
2857-2903 |
Sentence |
denotes |
Cough 31 (62%) 8 (44%) 12 (63%) 11 (85%) 0.075 |
T98 |
2904-2956 |
Sentence |
denotes |
Expectoration 15 (30%) 3 (17%) 5 (26%) 7 (54%) 0.076 |
T99 |
2957-2992 |
Sentence |
denotes |
Rhinorrhoea 1 (2%) 1 (6%) 0 0 0.404 |
T100 |
2993-3051 |
Sentence |
denotes |
Myalgia or fatigue 23 (46%) 5 (28%) 7 (37%) 11 (85%) 0.004 |
T101 |
3052-3079 |
Sentence |
denotes |
Nausea and vomiting 0 0 0 0 |
T102 |
3080-3129 |
Sentence |
denotes |
Sore throat 7 (14%) 3 (17%) 2 (11%) 2 (15%) 0.853 |
T103 |
3130-3180 |
Sentence |
denotes |
Shortness of breath 6 (12%) 0 1 (5%) 5 (38%) 0.003 |
T104 |
3181-3215 |
Sentence |
denotes |
Chest pain 1 (2%) 0 0 1 (8%) 0.234 |
T105 |
3216-3255 |
Sentence |
denotes |
Diarrhea 5 (10%) 3 (17%) 2 (11%) 0 0.31 |
T106 |
3256-3725 |
Sentence |
denotes |
Data were median (interquartile range, IQR), or n (%). p values comparing mild, moderate, and severe were computed using the χ2 test (sex, exposure to Wuhan, comorbidities, death, fever, highest temperature, cough, expectoration, rhinorrhea, myalgia or fatigue, nausea and vomiting, sore throat, shortness of breath, chest pain, and diarrhea), one-way ANOVA (onset of symptom to hospital admission, duration of hospitalization, and BMI), or Kruskal-Wallis H test (age). |
T107 |
3726-3761 |
Sentence |
denotes |
COVID-19, coronavirus disease 2019. |
T108 |
3762-3781 |
Sentence |
denotes |
See also Figure S1. |