Evidence map›Paper›PMID 32694793›Full record

ReviewNature metabolism2020

A metabolic handbook for the COVID-19 pandemic.

Janelle S Ayres

Open access · bronzeAbstract readReview
In one paragraph

Review in Nature metabolism, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 173 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
173citing papers in PubMed, 3 pooled it
6.7field-weighted citation impact, top 2% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

173 citing papers in PubMed, 3 syntheses or guidelines pooled it, 304 citations in OpenAlex.

  1. Pooled it
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  15. Metabolic diseases in the East Asian populations.Nature reviews. Gastroenterology & hepatology · 2025
    Review
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113 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

1 author at 1 institution in 1 country.

Janelle S AyresMolecular and Systems Physiology Laboratory, Gene Expression Laboratory, NOMIS Center for Immunology and Microbial Pathogenesis, The Salk Institute for Biological Studies, La Jolla, CA, USA. jayres@salk.edu.ORCID http://orcid.org/0000-0002-0809-2494
Salk Institute for Biological Studies · US

Funding

Host-microbe interactions: Harnessing co-evolution to treat diseaseDP1AI144249 · NIAID · SALK INSTITUTE FOR BIOLOGICAL STUDIES · PI AYRES, JANELLE S · 2018 to 2022
$6.7M
Tolerance defenses in host-microbiota interactionsR01AI114929 · NIAID · SALK INSTITUTE FOR BIOLOGICAL STUDIES · PI AYRES, JANELLE S · 2015 to 2025
$4.9M
NIAID NIH HHS DP1 AI144249NIAID NIH HHS R01 AI114929
6 · The paper itself

Abstract

For infectious-disease outbreaks, clinical solutions typically focus on efficient pathogen destruction. However, the COVID-19 pandemic provides a reminder that infectious diseases are complex, multisystem conditions, and a holistic understanding will be necessary to maximize survival. For COVID-19 and all other infectious diseases, metabolic processes are intimately connected to the mechanisms of disease pathogenesis and the resulting pathology and pathophysiology, as well as the host defence response to the infection. Here, I examine the relationship between metabolism and COVID-19. I discuss why preexisting metabolic abnormalities, such as type 2 diabetes and hypertension, may be important risk factors for severe and critical cases of infection, highlighting parallels between the pathophysiology of these metabolic abnormalities and the disease course of COVID-19. I also discuss how metabolism at the cellular, tissue and organ levels might be harnessed to promote defence against the infection, with a focus on disease-tolerance mechanisms, and speculate on the long-term metabolic consequences for survivors of COVID-19.

Indexed as

Coronavirus InfectionsCOVID-19Diabetes Mellitus, Type 2HumansHypertensionMetabolic DiseasesPandemicsPneumonia, ViralRisk Factors

Identifiers

PMID32694793
PMCPMC7325641
OpenAlexW3039377995

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.