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      MICOS Complex Loss Governs Age-Associated Murine Mitochondrial Architecture and Metabolism in the Liver, While Sam50 Dictates Diet Changes

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      research-article
      1 , 2 , 1 , 1 , 3 , 1 , 1 , 2 , 1 , 1 , 1 , 1 , 1 , 4 , 1 , 5 , 1 , 5 , 6 , 6 , 6 , 2 , 1 , 7 , 8 , 1 , 1 , 1 , 1 , 1 , 1 , 1 , 3 , 3 , 3 , 6 , 6 , 9 , 6 , 10 , 11 , 12 , 13 , 14 , 3 , 15 , 16 , 16 , 9 , 17 , 18 , 19 , 20 , 20 , 6 , 21 , 22 , 23 , 24 , 25 , 26 , 27 , 7 , 2 , 1
      bioRxiv
      Cold Spring Harbor Laboratory
      Aging, 3D Structure, Mitochondria, Metabolism, MICOS Complex, Liver Disease

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          Abstract

          The liver, the largest internal organ and a metabolic hub, undergoes significant declines due to aging, affecting mitochondrial function and increasing the risk of systemic liver diseases. How the mitochondrial three-dimensional (3D) structure changes in the liver across aging, and the biological mechanisms regulating such changes confers remain unclear. In this study, we employed Serial Block Face-Scanning Electron Microscopy (SBF-SEM) to achieve high-resolution 3D reconstructions of murine liver mitochondria to observe diverse phenotypes and structural alterations that occur with age, marked by a reduction in size and complexity. We also show concomitant metabolomic and lipidomic changes in aged samples. Aged human samples reflected altered disease risk. To find potential regulators of this change, we examined the Mitochondrial Contact Site and Cristae Organizing System (MICOS) complex, which plays a crucial role in maintaining mitochondrial architecture. We observe that the MICOS complex is lost during aging, but not Sam50. Sam50 is a component of the sorting and assembly machinery (SAM) complex that acts in tandem with the MICOS complex to modulate cristae morphology. In murine models subjected to a high-fat diet, there is a marked depletion of the mitochondrial protein SAM50. This reduction in Sam50 expression may heighten the susceptibility to liver disease, as our human biobank studies corroborate that Sam50 plays a genetically regulated role in the predisposition to multiple liver diseases. We further show that changes in mitochondrial calcium dysregulation and oxidative stress accompany the disruption of the MICOS complex. Together, we establish that a decrease in mitochondrial complexity and dysregulated metabolism occur with murine liver aging. While these changes are partially be regulated by age-related loss of the MICOS complex, the confluence of a murine high-fat diet can also cause loss of Sam50, which contributes to liver diseases. In summary, our study reveals potential regulators that affect age-related changes in mitochondrial structure and metabolism, which can be targeted in future therapeutic techniques.

          Graphical Abstract:

          Liver aging causes metabolic, lipidomic, and mitochondrial structural alterations, reflecting age-dependent losses in the MICOS complex. Diet-dependent losses of the SAM complex underlie genetic disease associations and mitochondrial structure.

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          Most cited references157

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          The GTEx Consortium atlas of genetic regulatory effects across human tissues

          (2020)
          The Genotype-Tissue Expression (GTEx) project was established to characterize genetic effects on the transcriptome across human tissues and to link these regulatory mechanisms to trait and disease associations. Here, we present analyses of the version 8 data, examining 15,201 RNA-sequencing samples from 49 tissues of 838 postmortem donors. We comprehensively characterize genetic associations for gene expression and splicing in cis and trans, showing that regulatory associations are found for almost all genes, and describe the underlying molecular mechanisms and their contribution to allelic heterogeneity and pleiotropy of complex traits. Leveraging the large diversity of tissues, we provide insights into the tissue specificity of genetic effects and show that cell type composition is a key factor in understanding gene regulatory mechanisms in human tissues.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            Mitochondrial fission, fusion, and stress.

            Mitochondrial fission and fusion play critical roles in maintaining functional mitochondria when cells experience metabolic or environmental stresses. Fusion helps mitigate stress by mixing the contents of partially damaged mitochondria as a form of complementation. Fission is needed to create new mitochondria, but it also contributes to quality control by enabling the removal of damaged mitochondria and can facilitate apoptosis during high levels of cellular stress. Disruptions in these processes affect normal development, and they have been implicated in neurodegenerative diseases, such as Parkinson's.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              A gene-based association method for mapping traits using reference transcriptome data

              Genome-wide association studies (GWAS) have identified thousands of variants robustly associated with complex traits. However, the biological mechanisms underlying these associations are, in general, not well understood. We propose a gene-based association method called PrediXcan that directly tests the molecular mechanisms through which genetic variation affects phenotype. The approach estimates the component of gene expression determined by an individual’s genetic profile and correlates the “imputed” gene expression with the phenotype under investigation to identify genes involved in the etiology of the phenotype. The genetically regulated gene expression is estimated using whole-genome tissue-dependent prediction models trained with reference transcriptome datasets. PrediXcan enjoys the benefits of gene-based approaches such as reduced multiple testing burden and a principled approach to the design of follow-up experiments. Our results demonstrate that PrediXcan can detect known and novel genes associated with disease traits and provide insights into the mechanism of these associations.
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                Author and article information

                Journal
                bioRxiv
                BIORXIV
                bioRxiv
                Cold Spring Harbor Laboratory
                2692-8205
                03 July 2024
                : 2024.06.20.599846
                Affiliations
                [1 ]Department of Molecular Physiology and Biophysics, Vanderbilt University, Nashville, TN, 37232, USA.
                [2 ]Department of Biochemistry and Molecular Biology, The Huck Institute of the Life Sciences, Pennsylvania State University, State College, PA 16801
                [3 ]Department of Internal Medicine, University of Iowa, Iowa City, IA, 52242, USA.
                [4 ]Department of Molecular, Cellular and Developmental Biology, Yale University, New Haven, CT 06520.
                [5 ]Department of Biomedical Sciences, School of Graduate Studies, Meharry Medical College, Nashville, TN 37208-3501, USA.
                [6 ]Department of Medicine, Vanderbilt University Medical Center, Nashville, TN 37232, USA.
                [7 ]Division of Genetic Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, United States
                [8 ]Central Microscopy Research Facility, University of Iowa, Iowa City, IA, 52242, USA.
                [9 ]Department of Pharmacology, College of Pharmacy, University of Sargodha, Sargodha, Punjab,40100, Pakistan
                [10 ]Department of Internal Medicine, Section of Cardiovascular Medicine, Wake Forest University School of Medicine, Winston-Salem, NC 27157 USA
                [11 ]National Heart, Lung and Blood Institute, National Institutes of Health, 9000 Rockville Pike, Bethesda, MD 20892, USA
                [12 ]Department of Biology, Indian Institute of Science Education and Research (IISER) Tirupati, AP, 517619, India
                [13 ]Department of Biological Sciences, Tennessee State University, Nashville, TN 37209, USA
                [14 ]Department of Cell Biology, Duke University School of Medicine, Durham, NC, 27708, USA
                [15 ]Fraternal Order of Eagles Diabetes Research Center, Iowa City, Iowa, USA1
                [16 ]Department of Chemical and Biomolecular Engineering, University of California, Irvine, CA, 92697, USA.
                [17 ]Department of Neuroscience, Cell Biology and Physiology, Wright State University, Dayton, OH 45435 USA
                [18 ]Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA, 98195, USA
                [19 ]Department of Biological Sciences, Border Biomedical Research Center, The University of Texas at El Paso, El Paso, Texas, USA
                [20 ]Department of Integrative Biology, Oregon State University, Corvallis, OR, 97331, USA.
                [21 ]Vanderbilt Center for Immunobiology, Nashville, TN, 37232, USA.
                [22 ]Vanderbilt Institute for Infection, Immunology and Inflammation, Nashville, TN, 37232, USA.
                [23 ]Vanderbilt Institute for Global Health, Nashville, TN, 37232, USA.
                [24 ]Department of Microbiology, Immunology and Physiology, Meharry Medical College, Nashville, TN, United States
                [25 ]Department of Internal Medicine, Section of Gerontology and Geriatric Medicine, Sticht Center for Healthy Aging and Alzheimer’s Prevention, Wake Forest University School of Medicine, Winston-Salem, NC
                [26 ]Artur Sá Earp Neto University Center – UNIFASE-FMP, Petrópolis Medical School, Brazil
                [27 ]UCLA Cardiac Arrhythmia Center, University of California, Los Angeles, CA, USA.
                Author notes
                [*]

                These authors share co-first authorship.

                [#]

                These authors share co-senior authorship.

                AUTHOR CONTRIBUTIONS:

                Zer Vue, Alexandria Murphy, and Han Le contributed equally to this work. Zer Vue, Han Le, Kit Neikirk, Edgar Garza-Lopez, Andrea G. Marshall, Margaret Mungai, Brenita Jenkins, Larry Vang, Heather K. Beasley, Mariaassumpta Ezedimma, Sasha Manus, Aaron Whiteside, Chanel Harris, Amber Crabtree, Claude F. Albritton, Sydney Jamison, Mert Demirci, Ashton Oliver, Ky’Era V. Actkins, Elma Zaganjor, Estevão Scudese, Benjamin Rodriguez, Alice Koh, Izabella Rabago, Johnathan Moore, Desiree Nguyen, Muhammad Aftab, Benjamin Kirk, Yahang Li, Nelson Wandira, Taseer Ahmed, Mohammad Saleem, Ashlesha Kadam, Prasanna Katti, Ho-Jin Koh, Chantell Evans, Young Do Koo, Eric Wang, Quinton Smith, Dhanendra Tomar, Clintoria R. Williams, Mariya Sweetwyne, Anita M. Quintana, Mark A. Phillips, David Hubert, Annet Kirabo, Chandravanu Dash, Pooja Jadiya, André Kinder, Olujimi A. Ajijola, Tyne W. Miller-Fleming, Melanie R. McReynolds, and Antentor Hinton, Jr., contributed to the conception, design, data acquisition, analysis, and interpretation of data. Melanie R. McReynolds, and Antentor Hinton, Jr. conceived and supervised this study. All authors were involved in drafting and critically revising the manuscript for important intellectual content. All authors approved the final version of the manuscript.

                Corresponding Author: Antentor Hinton, Department of Molecular Physiology and Biophysics, Vanderbilt University, antentor.o.hinton.jr@ 123456Vanderbilt.Edu
                Author information
                http://orcid.org/0000-0002-3144-7257
                http://orcid.org/0000-0002-3596-1587
                http://orcid.org/0000-0002-2319-7913
                http://orcid.org/0000-0003-4466-8355
                http://orcid.org/0000-0002-7730-952X
                Article
                10.1101/2024.06.20.599846
                11230271
                38979162
                6c7f00fd-3f82-4efc-94a1-d6d7ff2e5d1f

                This work is licensed under a Creative Commons Attribution-NoDerivatives 4.0 International License, which allows reusers to copy and distribute the material in any medium or format in unadapted form only, and only so long as attribution is given to the creator. The license allows for commercial use.

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                aging,3d structure,mitochondria,metabolism,micos complex,liver disease

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