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

**Authors:** 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, Annet Kirabo, Edgar Garza Lopez, Amber Crabtree, Andrea Marshall, Campbell Blake, Chandravanu Dash, Praveena Prasad, Alexandria Murphy, Jeremiah Afolabi, Mark A Phillips, Chantell Evans, Estevão Scudese, Jenny C. Schafer, Julia Berry, Bret C Mobley, Dao Fu Dai, Harrison Mobley, Nathan C Winn, Mohd M Khan, Dea Pulatani, Joseph Sorrentino, Joyonna Gamble-George, Melanie McReynolds, Celestine Wanjalla

PMC · DOI: 10.21203/rs.3.rs-8704245/v1 · Research Square · 2026-02-16

## TL;DR

This study explores how SAM50, a protein involved in mitochondrial function, affects metabolic health in relation to diet, aging, and genetic variation.

## Contribution

The study reveals how SAM50 genetic variation and expression influence mitochondrial remodeling and systemic metabolic health in response to diet and aging.

## Key findings

- Common genetic variation in SAMM50 is linked to liver-related metabolic disorders.
- Aging and high-fat diets reduce Sam50 expression and disrupt mitochondrial structure.
- Nutrient state and aging signals influence SAM50-dependent mitochondrial remodeling.

## 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.

## Linked entities

- **Genes:** SAMM50 (SAMM50 sorting and assembly machinery component) [NCBI Gene 25813], SAMM50 (SAMM50 sorting and assembly machinery component) [NCBI Gene 25813]
- **Proteins:** SAMM50 (SAMM50 sorting and assembly machinery component)
- **Species:** Mus musculus (taxon 10090)

## Full-text entities

- **Genes:** SAMM50 (SAMM50 sorting and assembly machinery component) [NCBI Gene 25813] {aka CGI-51, OMP85, SAM50, TOB55, TRG-3, YNL026W}
- **Diseases:** liver-related metabolic disorders (MESH:D017093), metabolic dysfunction (MESH:D008659)
- **Chemicals:** lipid (MESH:D008055), triglyceride (MESH:D014280), fat (MESH:D005223)
- **Species:** Homo sapiens (human, species) [taxon 9606], Mus musculus (house mouse, species) [taxon 10090]

## Full text

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## Figures

8 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12934904/full.md

## References

44 references — full list in the complete paper: https://tomesphere.com/paper/PMC12934904/full.md

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Source: https://tomesphere.com/paper/PMC12934904