Brain-body mitochondrial distribution patterns lack coherence and point to tissue-specific regulatory mechanisms

Jack Devine , Anna S. Monzel , David Shire , Ayelet M. Rosenberg , Alex Junker , Alan A. Cohen , Martin Picard

Life Metabolism ›› 2025, Vol. 4 ›› Issue (3) : loaf012

PDF (30646KB)
Life Metabolism ›› 2025, Vol. 4 ›› Issue (3) :loaf012 DOI: 10.1093/lifemeta/loaf012
Original Article
Brain-body mitochondrial distribution patterns lack coherence and point to tissue-specific regulatory mechanisms
Author information +
History +
PDF (30646KB)

Abstract

Energy transformation capacity is generally assumed to be a coherent individual trait driven by genetic and environmental factors. This predicts that some individuals should have consistently high, while others show consistently low mitochondrial oxidative phosphorylation (OxPhos) capacity across organ systems. Here, we test this assumption using multi-tissue molecular and enzymatic assays in mice and humans. Across up to 22 mouse tissues, neither mitochondrial OxPhos capacity nor mitochondrial DNA (mtDNA) density was correlated between tissues (median r = -0.01 to 0.16), indicating that animals with high mitochondrial content or capacity in one tissue may have low content or capacity in other tissues. Similarly, RNA sequencing (RNAseq)-based indices of mitochondrial expression across 45 tissues from 948 women and men (genotype-tissue expression [GTEx]) showed only small to moderate coherence between some tissues, such as between brain regions (r = 0.26), but not between brain-body tissue pairs (r = 0.01). The mtDNA copy number (mtDNAcn) also lacked coherence across human tissues. Mechanistically, tissue-specific differences in mitochondrial gene expression were partially attributable to (i) tissue-specific activation of energy sensing pathways, including the transcriptional coactivator peroxisome proliferator-activated receptor gamma coactivator 1-alpha (PGC-1α), the integrated stress response (ISR), and other molecular regulators of mitochondrial biology, and (ii) proliferative activity across tissues. Finally, we identify subgroups of individuals with distinct mitochondrial distribution strategies that map onto distinct clinical phenotypes. These data raise the possibility that tissue-specific energy sensing pathways may contribute to idiosyncratic mitochondrial distribution patterns among individuals.

Keywords

mitochondrion / gene regulation / mitochondrial biogenesis / energy sensing / inter-organ crosstalk / disease risk

Cite this article

Download citation ▾
Jack Devine, Anna S. Monzel, David Shire, Ayelet M. Rosenberg, Alex Junker, Alan A. Cohen, Martin Picard. Brain-body mitochondrial distribution patterns lack coherence and point to tissue-specific regulatory mechanisms. Life Metabolism, 2025, 4 (3) : loaf012 DOI:10.1093/lifemeta/loaf012

登录浏览全文

4963

注册一个新账户 忘记密码

References

[1]

Shen K , Pender CL , Bar-Ziv R et al. Mitochondria as cellular and organismal signaling hubs. Annu Rev Cell Dev Biol 2022; 38: 179- 218.

[2]

Picard M , Shirihai OS . Mitochondrial signal transduction. Cell Metab 2022; 34: 1620- 53.

[3]

Gupta R , Kanai M , Durham TJ et al. Nuclear genetic control of mtDNA copy number and heteroplasmy in humans. Nature 2023; 620: 839- 48.

[4]

Neufer PD , Bamman MM , Muoio DM et al. Understanding the cellular and molecular mechanisms of physical activity-induced health benefits. Cell Metab 2015; 22: 4- 11.

[5]

Amar D , Gay NR , Jimenez-Morales D et al. The mitochondrial multi-omic response to exercise training across rat tissues. Cell Metab 2024; 36: 1411- 29.e10.

[6]

Chow LS , Gerszten RE , Taylor JM et al. Exerkines in health, resilience and disease. Nat Rev Endocrinol 2022; 18: 273- 89.

[7]

Tyrrell DJ , Bharadwaj MS , Jorgensen MJ et al. Blood cell respirometry is associated with skeletal and cardiac muscle bioenergetics: implications for a minimally invasive biomarker of mitochondrial health. Redox Biol 2016; 10: 65- 77.

[8]

Tyrrell DJ , Bharadwaj MS , Jorgensen MJ et al. Blood-based bioenergetic profiling reflects differences in brain bioenergetics and metabolism. Oxid Med Cell Longev 2017; 2017: 7317251.

[9]

Braganza A , Corey CG , Santanasto AJ et al. Platelet bioenergetics correlate with muscle energetics and are altered in older adults. JCI Insight 2019; 5: e128248.

[10]

Hedges CP , Woodhead JST , Wang HW et al. Peripheral blood mononuclear cells do not reflect skeletal muscle mitochondrial function or adaptation to high-intensity interval training in healthy young men. J Appl Physiol (1985) 2019; 126: 454- 61.

[11]

Rose S , Carvalho E , Diaz EC et al. A comparative study of mitochondrial respiration in circulating blood cells and skeletal muscle fibers in women. Am J Physiol Endocrinol Metab 2019; 317: E503- 12.

[12]

Westerlund E , Marelsson SE , Karlsson M et al. Correlation of mitochondrial respiration in platelets, peripheral blood mononuclear cells and muscle fibers. Heliyon 2024; 10: e26745.

[13]

Wachsmuth M , Hübner A , Li M et al. Age-related and heteroplasmy-related variation in human mtDNA copy number. PLoS Genet 2016; 12: e1005939.

[14]

Nie C , Li Y , Li R et al. Distinct biological ages of organs and systems identified from a multi-omics study. Cell Rep 2022; 38: 110459.

[15]

Tian YE , Cropley V , Maier AB et al. Heterogeneous aging across multiple organ systems and prediction of chronic disease and mortality. Nat Med 2023; 29: 1221- 31.

[16]

Oh HS , Rutledge J , Nachun D et al. Organ aging signatures in the plasma proteome track health and disease. Nature 2023; 624: 164- 72.

[17]

GTEx Consortium . The Genotype-Tissue Expression (GTEx) project. Nat Genet 2013; 45: 580- 5.

[18]

Rath S , Sharma R , Gupta R et al. MitoCarta3.0: an updated mitochondrial proteome now with sub-organelle localization and pathway annotations. Nucleic Acids Res 2021; 49: D1541- 7.

[19]

Rausser S , Trumpff C , McGill MA et al. Mitochondrial phenotypes in purified human immune cell subtypes and cell mixtures. eLife 2021; 10: e70899.

[20]

Rath SP , Gupta R , Todres E et al. Mitochondrial genome copy number variation across tissues in mice and humans. Proc Natl Acad Sci U S A 2024; 121: e2402291121.

[21]

Vega-Vásquez T , Langgartner D , Wang JY et al. Mitochondrial morphology in the mouse adrenal cortex: influence of chronic psychosocial stress. Psychoneuroendocrinology 2024; 160: 106683.

[22]

D’Erchia AM , Atlante A , Gadaleta G et al. Tissue-specific mtDNA abundance from exome data and its correlation with mitochondrial transcription, mass and respiratory activity. Mitochondrion 2015; 20: 13- 21.

[23]

Monzel AS , Enríquez JA , Picard M . Multifaceted mitochondria: moving mitochondrial science beyond function and dysfunction. Nat Metab 2023; 5: 546- 62.

[24]

Jiang L , Wang M , Lin S et al. A quantitative proteome map of the human body. Cell 2020; 183: 269- 83.e19.

[25]

Ventura-Clapier R , Garnier A , Veksler V . Transcriptional control of mitochondrial biogenesis: the central role of PGC-1α. Cardiovasc Res 2008; 79: 208- 17.

[26]

Mick E , Titov DV , Skinner OS et al. Distinct mitochondrial defects trigger the integrated stress response depending on the metabolic state of the cell. eLife 2020; 9: e49178.

[27]

Forsström S , Jackson CB , Carroll CJ et al. Fibroblast growth factor 21 drives dynamics of local and systemic stress responses in mitochondrial myopathy with mtDNA deletions. Cell Metab 2019; 30: 1040- 54.e7.

[28]

Lehman JJ , Barger PM , Kovacs A et al. Peroxisome proliferator-activated receptor gamma coactivator-1 promotes cardiac mitochondrial biogenesis. J Clin Invest 2000; 106: 847- 56.

[29]

Wu Z , Puigserver P , Andersson U et al. Mechanisms controlling mitochondrial biogenesis and respiration through the thermogenic coactivator PGC-1. Cell 1999; 98: 115- 24.

[30]

Costa-Mattioli M , Walter P . The integrated stress response: from mechanism to disease. Science 2020; 368: eaat5314.

[31]

Quirós PM , Prado MA , Zamboni N et al. Multi-omics analysis identifies ATF4 as a key regulator of the mitochondrial stress response in mammals. J Cell Biol 2017; 216: 2027- 45.

[32]

Kaspar S , Oertlin C , Szczepanowska K et al. Adaptation to mito-chondrial stress requires CHOP-directed tuning of ISR. Sci Adv 2021; 7: eabf0971.

[33]

Sturm G , Karan KR , Monzel AS et al. OxPhos defects cause hypermetabolism and reduce lifespan in cells and in patients with mitochondrial diseases. Commun Biol 2023; 6: 22.

[34]

Barshad G , Blumberg A , Cohen T et al. Human primitive brain displays negative mitochondrial-nuclear expression correlation of respiratory genes. Genome Res 2018; 28: 952- 67.

[35]

Fairbrother-Browne A , Ali AT , Reynolds RH et al. Mitochondrial-nuclear cross-talk in the human brain is modulated by cell type and perturbed in neurodegenerative disease. Commun Biol 2021; 4: 1262.

[36]

Iismaa SE , Kaidonis X , Nicks AM et al. Comparative regenerative mechanisms across different mammalian tissues. NPJ Regen Med 2018; 3: 6.

[37]

Mishra P , Chan DC . Mitochondrial dynamics and inheritance during cell division, development and disease. Nat Rev Mol Cell Biol 2014; 15: 634- 46.

[38]

Bomba-Warczak E , Edassery SL , Hark TJ et al. Long-lived mitochondrial cristae proteins in mouse heart and brain. J Cell Biol 2021; 220: e202005193.

[39]

Bomba-Warczak E , Savas JN . Long-lived mitochondrial proteins and why they exist. Trends Cell Biol 2022; 32: 646- 54.

[40]

Whitfield ML , George LK , Grant GD et al. Common markers of proliferation. Nat Rev Cancer 2006; 6: 99- 106.

[41]

Locard-Paulet M , Palasca O , Jensen LJ . Identifying the genes impacted by cell proliferation in proteomics and transcriptomics studies. PLoS Comput Biol 2022; 18: e1010604.

[42]

Ahadi S , Zhou W , Schüssler-Fiorenza Rose SM et al. Personal aging markers and ageotypes revealed by deep longitudinal profiling. Nat Med 2020; 26: 83- 90.

[43]

Borcherding N , Brestoff JR . The power and potential of mitochondria transfer. Nature 2023; 623: 283- 91.

[44]

Ferreira PG , Muñoz-Aguirre M , Reverter F et al. The effects of death and post-mortem cold ischemia on human tissue transcriptomes. Nat Commun 2018; 9: 490.

[45]

Rosenberg AM , Saggar M , Monzel AS et al. Brain mitochondrial diversity and network organization predict anxiety-like behavior in male mice. Nat Commun 2023; 14: 4726.

[46]

Singh P , Gollapalli K , Mangiola S et al. Taurine deficiency as a driver of aging. Science 2023; 380: eabn9257.

[47]

Sturm G , Monzel AS , Karan KR et al. A multi-omics longitudinal aging dataset in primary human fibroblasts with mitochondrial perturbations. Sci Data 2022; 9: 751.

RIGHTS & PERMISSIONS

The Author(s). Published by Oxford University Press on behalf of Higher Education Press.

PDF (30646KB)

Supplementary files

Supplementary materials

File S1

File S2

471

Accesses

0

Citation

Detail

Sections
Recommended

/