Evidence map›Paper›PMID 39937842›Full record

ArticlePloS one2025

Starve a cold or feed a fever? Identifying cellular metabolic changes following infection and exposure to SARS-CoV-2.

Emma K Loveday, Hope Welhaven, Ayten Ebru Erdogan, Kyle S Hain, Luke F Domanico, Connie B Chang, Ronald K June, Matthew P Taylor

Abstract read
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Emma K LovedayCenter for Biofilm Engineering, Montana State University, Bozeman, Montana, United States of America.ORCID https://orcid.org/0000-0002-1154-7728
Hope WelhavenChemistry and Biochemistry, Montana State University, Bozeman, Montana, United States of America.
Ayten Ebru ErdoganDepartment of Chemical and Biological Engineering, Montana State University, Bozeman, Montana, United States of America.ORCID https://orcid.org/0000-0002-8853-1345
Kyle S HainDepartment of Microbiology and Cell Biology, Montana State University, Bozeman, Montana, United States of America.
Luke F DomanicoDepartment of Microbiology and Cell Biology, Montana State University, Bozeman, Montana, United States of America.
Connie B ChangCenter for Biofilm Engineering, Montana State University, Bozeman, Montana, United States of America.ORCID https://orcid.org/0000-0001-9555-8223
Ronald K JuneDepartment of Mechanical & Industrial Engineering, Montana State University, Bozeman, Montana, United States of America.ORCID https://orcid.org/0000-0003-0752-4109
Matthew P TaylorDepartment of Microbiology and Cell Biology, Montana State University, Bozeman, Montana, United States of America.ORCID https://orcid.org/0000-0003-0199-7175

Funding

Role of Glucose metabolism in Chondrocyte MechanotransductionR01AR073964 · NIAMS · MONTANA STATE UNIVERSITY - BOZEMAN · PI JUNE, RONALD KENT · 2019 to 2024
$2.4M
Metabolomic Profiling to Identify Candidate Biomarker Profiles and Molecular Endotypes for OsteoarthritisR01AR081489 · NIAMS · MONTANA STATE UNIVERSITY - BOZEMAN · PI Ronald Kent June · 2023 to 2026
$1.8M
High-throughput droplet qRT-PCR microfluidic platform for quantification of virus from single cellsR56AI156137 · NIAID · MONTANA STATE UNIVERSITY - BOZEMAN · PI CHANG, CONNIE B · 2021 to 2021
$360k
NIAID NIH HHS R56 AI156137NIAMS NIH HHS R01 AR073964NIAMS NIH HHS R01 AR081489
6 · The paper itself

Abstract

Viral infections induce major shifts in cellular metabolism elicited by active viral replication and antiviral responses. For the virus, harnessing cellular metabolism and evading changes that limit replication are essential for productive viral replication. In contrast, the cellular response to infection disrupts metabolic pathways to prevent viral replication and promote an antiviral state in the host cell and neighboring bystander cells. This competition between the virus and cell results in measurable shifts in cellular metabolism that differ depending on the virus, cell type, and extracellular environment. The resulting metabolic shifts can be observed and analyzed using global metabolic profiling techniques to identify pathways that are critical for either viral replication or cellular defense. SARS-CoV-2 is a respiratory virus that can exhibit broad tissue tropism and diverse, yet inconsistent, symptomatology. While the factors that determine the presentation and severity of SARS-CoV-2 infection remain unclear, metabolic syndromes are associated with more severe manifestations of SARS-CoV-2 disease. Despite these observations a critical knowledge gap remains between cellular metabolic responses and SARS-CoV-2 infection. Using a well-established untargeted metabolomics analysis workflow, we compared SARS-CoV-2 infection of human lung carcinoma cells. We identified significant changes in metabolic pathways that correlate with either productive or non-productive viral infection. This information is critical for characterizing the factors that contribute to SARS-CoV-2 replication that could be targeted for therapeutic interventions to limit viral disease.

Indexed as

COVID-19SARS-CoV-2HumansMetabolomeMetabolomicsVirus Replication

Identifiers

PMID39937842
PMCPMC11819565

What OpenQuestion holds

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LicenceCC BY
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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.