SARS-CoV-2 perturbs the renin-angiotensin system and energy metabolism
Bibliographic record
Abstract
The COVID-19 pandemic, caused by the novel coronavirus, SARS-CoV-2, is threating our health systems and daily lives and is responsible for causing substantial morbidity and mortality. In particular, aged individuals and individuals with comorbidities, including obesity, diabetes mellitus, and hypertension, have significantly higher risks of hospitalization and death than normal individuals. The renin-angiotensin system (RAS) plays a pivotal role in the pathogenesis of diabetes mellitus, obesity, and hypertension. Angiotensin-converting enzyme 2 (ACE2), belonging to the RAS family, has received much attention during this COVID-19 pandemic, owing to the fact that SARS-CoV-2 uses ACE2 as a receptor for cellular entry. Additionally, the RAS greatly affects energy metabolism in certain pathological conditions, including cardiac failure, diabetes mellitus, and viral infections. This article discusses the potential mechanisms by which SARS-CoV-2 modulates the RAS and energy metabolism in individuals with obesity and diabetes mellitus. The article aims to highlight the appropriate strategies for combating the COVID-19 pandemic in the clinical setting and emphasize on the areas that require further investigation in relation to COVID-19 infections in patients with obesity and diabetes mellitus from the viewpoint of endocrinology and metabolism.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".