Evidence mapPaperPMID 41756451Full record

ArticleResearch square2026

Nutrient State, Aging, and Diet Modulate SAM50-Dependent Mitochondrial Remodeling and Systemic Metabolic Signatures.

Antentor Othrell Hinton, Sepiso K Masenga, Victoria Baskerville, Mark Petrovic, Benjamin Rodriguez, David L Hubert, Tyne W Miller-Fleming, Young Do Koo, Prasanna Katti, Prasanna Venkhatesh and 24 more

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In one paragraph

Article in Research square, 2026. 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

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

34 authors.

Antentor Othrell HintonVanderbilt University.
Sepiso K MasengaLivingstone Center for Prevention and Translational Science.
Victoria BaskervilleVanderbilt University.
Mark PetrovicPennsylvania State University.
Benjamin RodriguezVanderbilt University.
David L HubertOregon State University.
Tyne W Miller-FlemingVanderbilt University Medical Center.
Young Do KooUniversity of California-Los Angeles.
Prasanna KattiIndian Institute of Science Education and Research (IISER) Tirupati.
Prasanna VenkhateshIndian Institute of Science Education and Research (IISER) Tirupati.
Annet KiraboVanderbilt University Medical Center.
Edgar Garza LopezHinton and Garza Lopez Consulting Company.
Amber CrabtreeVanderbilt University.
Andrea MarshallVanderbilt University.
Campbell BlakeVanderbilt University.
Chandravanu DashMeharry Medical College.
Praveena PrasadIndian Institute of Science Education and Research (IISER) Tirupati.
Alexandria MurphyPennsylvania State University.
Jeremiah AfolabiVanderbilt UniversityMedical Center.
Mark A PhillipsOregon State University.
Chantell EvansDuke University.
Estevão ScudeseVanderbilt University.
Jenny C SchaferVanderbilt University School of Medicine.
Julia BerryVanderbilt University Medical Center.
Bret C MobleyVanderbilt University Medical Center.
Dao Fu DaiJohns Hopkins University.
Harrison MobleyVanderbilt University.
Nathan C WinnVanderbilt University.
Mohd M KhanVanderbilt University.
Dea PulataniVanderbilt University.
Joseph SorrentinoVanderbilt University.
Joyonna Gamble-GeorgeUniversity of Florida.
Melanie McReynoldsVanderbilt University Medical Center.
Celestine WanjallaVanderbilt University Medical Center.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although Sorting and Assembly Machinery 50 (SAM50) is known to regulate nutritional and metabolic stress related to ageing, its exact role is not well understood. This experimental study combines both human and animal models to understand the role that SAM50 plays in nutrient, age-related metabolic remodeling. We also wanted to define the clinical relevance of SAMM50 genetic variation in human disease. Our study integrated clinical and genetic data from three large and independent human biobanks to assess the clinical implications of genetic variation in SAMM50. We then conducted mechanistic studies in mice using Serial Block-Face Scanning Electron Microscopy and Transmission Electron Microscopy for three-dimension analysis of mitochondrial morphology, immunoblotting, metabolomics/lipidomics, and assessment of metabolic parameters in models of fasting, aging, and a high-fat diet (HFD). Descriptive and inferential statistics were used to describe and test associations in GraphPad prism version 10. Our study demonstrated that common genetic variation within the SAMM50 genetic locus was significantly associated with liver-related metabolic disorders. In mice, nutrient status was associated with expression levels of Sam50 and proteins involved in the respiratory complex. Aging was associated with impaired mitochondria, decreased Sam50 expression, and increased triglyceride and lipid peroxidation, with increased lipid droplet-mitochondria contacts. An HFD was associated with a reduction in Sam50 expression, disruption of mitochondrial structure, and metabolic dysfunction, effects that were only partly reversed by returning to a normal diet. Our results demonstrate that SAM50 expression is associated with nutrient state and age-related signals, thereby orchestrating mitochondrial structure to influence systemic metabolic health.

Indexed as

AgingHigh-Fat DietLiver DiseaseMetabolismMICOS ComplexMitochondrial DynamicsNutrient SensingSam50

Identifiers

PMID41756451
PMCPMC12934904

What Socratic holds

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LicenceCC BY
Read underepoch 390

Registered trials

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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 Socratic graph.