Evidence map›Paper›PMID 41472679›Full record

ArticleResearch square2025

Mapping metabolic dependences and capacities using ATP as a biomarker.

Jose Marin, Amanda Fuchs, Tatiana Tarasenko, Emily Warren, Martha Kirby, Stacie Anderson, Eliza M Gordon-Lipkin, Shannon Kruk, A Phillip West, Peter J McGuire

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

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0citing papers in PubMed
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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

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

10 authors.

Jose MarinMetabolism, Infection and Immunity Section, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD.
Amanda FuchsMetabolism, Infection and Immunity Section, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD.
Tatiana TarasenkoMetabolism, Infection and Immunity Section, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD.
Emily WarrenMetabolism, Infection and Immunity Section, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD.
Martha KirbyFlow Cytometry Core, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD.
Stacie AndersonFlow Cytometry Core, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD.
Eliza M Gordon-LipkinMetabolism, Infection and Immunity Section, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD.
Shannon KrukMetabolism, Infection and Immunity Section, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD.
A Phillip WestThe Jackson Laboratory, Bar Harbor, ME.ORCID 0000-0003-2884-6895
Peter J McGuireMetabolism, Infection and Immunity Section, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD.ORCID 0000-0001-5601-3044

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Metabolic dependences and capacities highlight a cell's reliance on specific pathways to meet its bioenergetic needs, with these pathways being interrogated using chemical inhibitors to assess their significance. While surrogate markers of bioenergetics (e.g., oxygen consumption, protein translation inhibition) have yielded important insights, we asked whether ATP could be used as a biomarker. To address this gap, we developed Mitochondrial/Energy Flow Cytometry (MitE-Flo), a method that evaluates the contributions of glycolysis, fatty acid/amino acid oxidation (FAO/AAO), and oxidative phosphorylation (OXPHOS) to cellular ATP content. In models of mitochondrial disease due to complex I or complex IV deficiency, we identified impaired OXPHOS with a compensatory shift to glycolysis. To define the utility of ATP monitoring in immune niches, we analyzed lungs from mice infected with influenza. CD4

Indexed as

ATPBioenergeticsimmunometabolisminfluenzaMitE-Flo (Mitochondrial/Energy Flow Cytometry)

Identifiers

PMID41472679
PMCPMC12747283

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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.