Evidence map›Paper›PMID 38826440›Full record

ArticlebioRxiv : the preprint server for biology2024

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

Emma Kate Loveday, Hope Welhaven, Ayten Ebru Erdogan, Kyle Hain, Connie B Chang, Ronald K June, Matthew P Taylor

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2024. 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

7 authors.

Emma Kate LovedayCenter for Biofilm Engineering, Montana State University, Bozeman MT 59717.
Hope WelhavenChemistry and Biochemistry, Montana State University, Bozeman MT 59717.
Ayten Ebru ErdoganDepartment of Chemical and Biological Engineering, Montana State University, Bozeman MT 59717.
Kyle HainMicrobiology and Cell Biology, Montana State University, Bozeman MT 59717.
Connie B ChangCenter for Biofilm Engineering, Montana State University, Bozeman MT 59717.ORCID 0000-0001-9555-8223
Ronald K JuneDepartment of Mechanical & Industrial Engineering, Montana State University, Bozeman MT 59717.ORCID 0000-0003-0752-4109
Matthew P TaylorMicrobiology and Cell Biology, Montana State University, Bozeman MT 59717.

Funding

Research Core (Developmental Research Project Program)P20GM103474 · NIGMS · MONTANA STATE UNIVERSITY - BOZEMAN · PI Ann Therese Bertagnolli · 2012 to 2026
$60.0M
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
Ultra Performance Liquid Chromatography Tandem Mass Spectrometer for MetabolomicsS10OD028650 · OD · MONTANA STATE UNIVERSITY - BOZEMAN · PI BOTHNER, BRIAN P · 2020 to 2020
$599k
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 AR081489NIGMS NIH HHS P20 GM103474NIH HHS S10 OD028650
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.

Identifiers

PMID38826440
PMCPMC11142155

What OpenQuestion holds

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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.