PMC:7454258 / 138264-144789 JSONTXT

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LitCovid-PD-FMA-UBERON

Id Subject Object Predicate Lexical cue fma_id
T26 447-453 Body_part denotes genome http://purl.org/sig/ont/fma/fma84116
T27 3320-3325 Body_part denotes heart http://purl.org/sig/ont/fma/fma7088

LitCovid-PD-UBERON

Id Subject Object Predicate Lexical cue uberon_id
T44 3320-3325 Body_part denotes heart http://purl.obolibrary.org/obo/UBERON_0000948

LitCovid-PD-MONDO

Id Subject Object Predicate Lexical cue mondo_id
T236 1283-1286 Disease denotes CMS http://purl.obolibrary.org/obo/MONDO_0018940
T237 2079-2087 Disease denotes diabetes http://purl.obolibrary.org/obo/MONDO_0005015
T238 2227-2235 Disease denotes diabetes http://purl.obolibrary.org/obo/MONDO_0005015
T239 2354-2362 Disease denotes diabetes http://purl.obolibrary.org/obo/MONDO_0005015
T240 2451-2466 Disease denotes type 2 diabetes http://purl.obolibrary.org/obo/MONDO_0005148
T241 2458-2466 Disease denotes diabetes http://purl.obolibrary.org/obo/MONDO_0005015
T242 2691-2699 Disease denotes diabetes http://purl.obolibrary.org/obo/MONDO_0005015
T243 3092-3100 Disease denotes diabetes http://purl.obolibrary.org/obo/MONDO_0005015
T244 3281-3293 Disease denotes hypertension http://purl.obolibrary.org/obo/MONDO_0005044
T245 3311-3333 Disease denotes coronary heart disease http://purl.obolibrary.org/obo/MONDO_0005010
T246 3320-3333 Disease denotes heart disease http://purl.obolibrary.org/obo/MONDO_0005267
T247 5503-5511 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T248 5693-5701 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096

LitCovid-PD-CLO

Id Subject Object Predicate Lexical cue
T170 50-53 http://purl.obolibrary.org/obo/CLO_0051582 denotes has
T171 246-247 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T172 400-401 http://purl.obolibrary.org/obo/CLO_0001020 denotes A
T173 441-446 http://purl.obolibrary.org/obo/NCBITaxon_9606 denotes human
T174 609-610 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T175 1249-1251 http://purl.obolibrary.org/obo/CLO_0050509 denotes 27
T176 1278-1281 http://purl.obolibrary.org/obo/CL_0000990 denotes CDC
T177 1603-1604 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T178 2718-2719 http://purl.obolibrary.org/obo/CLO_0001020 denotes A
T179 2861-2862 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T180 2957-2958 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T181 3320-3325 http://purl.obolibrary.org/obo/UBERON_0000948 denotes heart
T182 3320-3325 http://purl.obolibrary.org/obo/UBERON_0007100 denotes heart
T183 3320-3325 http://purl.obolibrary.org/obo/UBERON_0015228 denotes heart
T184 3320-3325 http://www.ebi.ac.uk/efo/EFO_0000815 denotes heart
T185 3399-3403 http://purl.obolibrary.org/obo/CLO_0001185 denotes 2018
T186 3492-3493 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T187 3530-3535 http://purl.obolibrary.org/obo/NCBITaxon_9606 denotes human
T188 4021-4022 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T189 4069-4075 http://purl.obolibrary.org/obo/CLO_0001658 denotes active
T190 4217-4218 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T191 5549-5550 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T192 5721-5722 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T193 6090-6091 http://purl.obolibrary.org/obo/CLO_0001020 denotes A
T194 6177-6178 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T195 6511-6521 http://purl.obolibrary.org/obo/UBERON_0001456 denotes facing the

LitCovid-PD-CHEBI

Id Subject Object Predicate Lexical cue chebi_id
T68 834-837 Chemical denotes GDP http://purl.obolibrary.org/obo/CHEBI_17552|http://purl.obolibrary.org/obo/CHEBI_58189
T70 1269-1271 Chemical denotes VA http://purl.obolibrary.org/obo/CHEBI_75008
T71 5114-5119 Chemical denotes water http://purl.obolibrary.org/obo/CHEBI_15377

LitCovid-PD-GO-BP

Id Subject Object Predicate Lexical cue
T79444 588-594 http://purl.obolibrary.org/obo/GO_0040007 denotes growth
T34421 2140-2146 http://purl.obolibrary.org/obo/GO_0040007 denotes growth
T96455 2584-2592 http://purl.obolibrary.org/obo/GO_0007610 denotes behavior
T70286 3792-3798 http://purl.obolibrary.org/obo/GO_0040007 denotes growth
T35457 5252-5258 http://purl.obolibrary.org/obo/GO_0040007 denotes growth

LitCovid-PubTator

Id Subject Object Predicate Lexical cue tao:has_database_id
692 441-446 Species denotes human Tax:9606
693 657-685 Disease denotes NIH Director Francis Collins MESH:D008342
709 2205-2211 Species denotes people Tax:9606
710 3530-3535 Species denotes human Tax:9606
711 1690-1695 Disease denotes death MESH:D003643
712 1808-1814 Disease denotes deaths MESH:D003643
713 1848-1854 Disease denotes deaths MESH:D003643
714 2079-2087 Disease denotes diabetes MESH:D003920
715 2227-2235 Disease denotes diabetes MESH:D003920
716 2354-2362 Disease denotes diabetes MESH:D003920
717 2458-2466 Disease denotes diabetes MESH:D003920
718 2691-2699 Disease denotes diabetes MESH:D003920
719 3092-3100 Disease denotes diabetes MESH:D003920
720 3281-3293 Disease denotes hypertension MESH:D006973
721 3295-3309 Disease denotes food allergies MESH:D004342
722 3311-3333 Disease denotes coronary heart disease MESH:D003324
723 3335-3350 Disease denotes certain cancers MESH:D009369
725 4089-4097 Species denotes children Tax:9606
727 5114-5119 Chemical denotes water MESH:D014867
730 5503-5511 Disease denotes COVID-19 MESH:C000657245
731 5693-5701 Disease denotes COVID-19 MESH:C000657245

LitCovid-sentences

Id Subject Object Predicate Lexical cue
T732 0-20 Sentence denotes Return on investment
T733 21-99 Sentence denotes The ROI for federal research has been documented across several metrics (275).
T734 100-242 Sentence denotes Considering commercial innovation, ∼1 in 12 NIH grants directly lead to patents, while ∼1 in 3 granted patents cite NIH-funded research (276).
T735 243-399 Sentence denotes In a 2012 analysis, each $1 increase in NIH funding was estimated to increase the size (output) of the bioscience industry by between $1.70 and $3.20 (277).
T736 400-630 Sentence denotes A $3.8 billion federal investment in the human genome project plus an additional $8.5 billion in related research and support have been estimated to produce nearly $1 trillion of economic growth, amounting to a 180-fold ROI (278).
T737 631-881 Sentence denotes In 2014 Senate testimony, NIH Director Francis Collins reported that NIH funding supported >402,000 jobs and $58 billion in economic output nationwide, whereas NIH discoveries contributed $69 billion to GDP and supported 7 million jobs in 2011 (279).
T738 882-1013 Sentence denotes Our review suggests that expanded federal coordination and investment in nutrition research will generate similarly meaningful ROI.
T739 1014-1303 Sentence denotes Opportunities include more efficient leveraging of existing nutrition research infrastructure and investments, as well as other current federal investments in nutrition-related programs and policies at USDA (∼$100 billion/y), USAID (∼$27 billion/y), DoD, VA, FDA, CDC, CMS, FEMA, and more.
T740 1304-1432 Sentence denotes Such investments could also be crucial to help reduce population diet and health inequities across diverse population subgroups.
T741 1433-1568 Sentence denotes One of the most promising areas for ROI would be advancing basic, clinical, and implementation science to reduce diet-related diseases.
T742 1569-1732 Sentence denotes As mentioned in earlier sections, a recent NIH prevention research portfolio analysis compared national risk factors for death with NIH research investments (120).
T743 1733-2007 Sentence denotes The largest gap was for nutrition, which was the top cause of attributable deaths (estimated to cause 19.1% of all deaths) but represented only 6.7% of all NIH prevention research funding (∼$0.43 billion based on the 2019 NIH budget, or ∼1.1% of all NIH funding) (117, 120).
T744 2008-2187 Sentence denotes In comparison, estimated government spending on direct health care for diabetes alone was ∼$160 billion/y in 2017, with an expected growth rate of 5% (∼$8 billion) per year (280).
T745 2188-2369 Sentence denotes Medical care for people with diagnosed diabetes accounts for ∼1 in 4 health care dollars in the US, with more than half of these costs being directly attributable to diabetes (280).
T746 2370-2717 Sentence denotes And, while mounting evidence suggests that severity, complications, and costs of type 2 diabetes can be rapidly reduced through better lifestyle including dietary changes (281–284), the optimal dietary priorities, behavior change strategies, microbiome implications, and personalization needs to most effectively improve diabetes remain uncertain.
T747 2718-2846 Sentence denotes A major effort to expand and harmonize federal nutrition research could have rapid ROI based on reduced health care costs alone.
T748 2847-3107 Sentence denotes For instance, a new, additive $1–2 billion annual investment in nutrition research could potentially generate a several-fold ROI if this helped flatten the anticipated ∼$8 billion/y annual increase in government expenditures on medical care for diabetes (280).
T749 3108-3361 Sentence denotes Estimates of potential ROI of expanded federal nutrition research can be considered against health care and other societal costs of other diet-sensitive conditions, such as hypertension, food allergies, coronary heart disease, certain cancers, and more.
T750 3362-3685 Sentence denotes As stated by the FDA Commissioner in 2018, “Improvements in diet and nutrition offer us one of our greatest opportunities to have a profound and generational impact on human health … The public health gains of such efforts would almost certainly dwarf any single medical innovation or intervention we could discover” (285).
T751 3686-3914 Sentence denotes Greater coordination and investment in federal nutrition research could also catalyze and unlock economic growth through new public–private partnerships and new private capital investment, small businesses, jobs, and inventions.
T752 3915-4142 Sentence denotes In addition to potential for lower health care spending, accelerated nutrition research could help foster a healthier and more productive workforce, more active and thriving children, and healthier and more independent seniors.
T753 4143-4339 Sentence denotes New research investment and structure should also support the training of a new generation of scientists and health care professionals who can leverage nutrition-related knowledge for public good.
T754 4340-4497 Sentence denotes Enhanced nutrition science and cross-governmental authority can also strengthen dietary guidance, reduce public confusion, and improve consumer food choices.
T755 4498-4706 Sentence denotes Together with increased investment in food and agricultural research, strengthened multidisciplinary nutrition science could better support the long-term economic vibrancy of US farmers and rural communities.
T756 4707-4828 Sentence denotes Past increases in agricultural productivity, for example, have come almost entirely from science-based innovations (146).
T757 4829-5039 Sentence denotes Such integrated efforts would also be able to address the critical emerging nexus of health, food, agriculture, climate, and sustainability (147, 286, 287), positioning the US as the global leader in this area.
T758 5040-5147 Sentence denotes This would further improve stewardship of US natural resources, including water, soil, forests, and oceans.
T759 5148-5352 Sentence denotes In sum, this would strengthen long-term US food security, farmers’ incomes, national and rural economic growth, and resilience of the food and agricultural sector, which accounts for 1 in 9 US jobs (288).
T760 5353-5498 Sentence denotes Appropriate federal investment and coordination of nutrition research could improve national resilience against chronic threats and acute crises.
T761 5499-5635 Sentence denotes The COVID-19 pandemic highlights the need to have a coordinated, vigorous scientific research infrastructure before crises strike (3–8).
T762 5636-5822 Sentence denotes The bidirectional impacts between food and nutrition and COVID-19 have also revealed a vital new area for research and policy that requires significant investment and coordination (289).
T763 5823-6089 Sentence denotes In 2019, the Director of National Intelligence reported to Congress that our national disinvestment in science and technology is 1 of 10 global threats because, without the research to produce disruptive US technologies, we weaken our economic competitiveness (290).
T764 6090-6525 Sentence denotes A new structure for coordination of existing federal nutrition research, combined with a major new investment—for example, increasing federal nutrition funding by $1–2 billion or more each year—could together provide highly cost-effective approaches to addressing the poor health, rising disparities, spiraling health care costs, declining qualified military recruits, and other pressing food and agricultural challenges facing the US.

LitCovid-PD-HP

Id Subject Object Predicate Lexical cue hp_id
T108 2451-2466 Phenotype denotes type 2 diabetes http://purl.obolibrary.org/obo/HP_0005978
T109 3281-3293 Phenotype denotes hypertension http://purl.obolibrary.org/obo/HP_0000822

2_test

Id Subject Object Predicate Lexical cue
32687145-28360137-2017934 237-240 28360137 denotes 276
32687145-30458950-2017935 1997-2000 30458950 denotes 117
32687145-29567642-2017936 2182-2185 29567642 denotes 280
32687145-29567642-2017937 2364-2367 29567642 denotes 280
32687145-29417495-2017938 2546-2549 29417495 denotes 284
32687145-29567642-2017939 3102-3105 29567642 denotes 280
32687145-30660336-2017940 4980-4983 30660336 denotes 287