Reference Citation Analysis: Find an Article, Find a Category, Find a Journal, Find a Scholar

For: Montgomery MK, Taddese AZ, Bayliss J, Nie S, Williamson NA, Watt MJ. Hexosaminidase A (HEXA) regulates hepatic sphingolipid and lipoprotein metabolism in mice. FASEB J 2021;35:e22046. [PMID: 34800307 DOI: 10.1096/fj.202101186r] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2021] [Revised: 10/29/2021] [Accepted: 11/01/2021] [Indexed: 02/03/2023]

For:	Montgomery MK, Taddese AZ, Bayliss J, Nie S, Williamson NA, Watt MJ. Hexosaminidase A (HEXA) regulates hepatic sphingolipid and lipoprotein metabolism in mice. FASEB J 2021;35:e22046. [PMID: 34800307 DOI: 10.1096/fj.202101186r] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2021] [Revised: 10/29/2021] [Accepted: 11/01/2021] [Indexed: 02/03/2023]

Number

Cited by Other Article(s)

Yuan J, Kitchener AC, Lackey LB, Sun T, Jiangzuo Q, Tuohetahong Y, Zhao L, Yang P, Wang G, Huang C, Wang J, Hou W, Liu Y, Chen W, Mi D, Murphy WJ, Li G. The genome of the black-footed cat: Revealing a rich natural history and urgent conservation priorities for small felids. Proc Natl Acad Sci U S A 2024;121:e2310763120. [PMID: 38165928 PMCID: PMC10786289 DOI: 10.1073/pnas.2310763120] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2023] [Accepted: 10/31/2023] [Indexed: 01/04/2024] Open

Affiliation(s)

Jiaqing Yuan College of Life Sciences, Shaanxi Normal University, Xi’an710119, China
Andrew C. Kitchener Department of Natural Sciences, National Museums Scotland, EdinburghEH1 1JF, United Kingdom School of Geosciences, University of Edinburgh, EdinburghEH9 3PX, United Kingdom
Laurie Bingaman Lackey Hendersonville, NC28792
Ting Sun College of Life Sciences, Shaanxi Normal University, Xi’an710119, China
Qigao Jiangzuo Key Laboratory of Vertebrate Evolution and Human Origins of Chinese Academy of Sciences, Institute of Vertebrate Paleontology and Paleoanthropology, Chinese Academy of Sciences, Beijing100044, China
Yilamujiang Tuohetahong College of Life Sciences, Shaanxi Normal University, Xi’an710119, China
Le Zhao College of Life Sciences, Shaanxi Normal University, Xi’an710119, China QinLing-Bashan Mountains Bioresources Comprehensive Development Collaborative Innovation Center, School of Bioscience and Engineering, Shaanxi University of Technology, Hanzhong723099, China
Peng Yang College of Life Sciences, Shaanxi Normal University, Xi’an710119, China
Guiqiang Wang College of Life Sciences, Shaanxi Normal University, Xi’an710119, China
Chen Huang College of Life Sciences, Shaanxi Normal University, Xi’an710119, China
Jinhong Wang College of Life Sciences, Shaanxi Normal University, Xi’an710119, China
Wenhui Hou College of Life Sciences, Shaanxi Normal University, Xi’an710119, China
Yang Liu College of Life Sciences, Shaanxi Normal University, Xi’an710119, China
Wu Chen Guangzhou Zoo, Guangzhou Wildlife Research Center, Guangzhou510070, China
Da Mi Xi’an Haorui Genomics Technology Co., Ltd., Xi’an710116, China School of Life Science and Technology, Xi’an Jiaotong University, Xi’an710049, China
William J. Murphy Veterinary Integrative Biosciences, Texas A&M University, College Station, TX77843
Gang Li College of Life Sciences, Shaanxi Normal University, Xi’an710119, China Guangzhou Zoo, Guangzhou Wildlife Research Center, Guangzhou510070, China

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McElhanon KE, Huff TC, Hirenallur-Shanthappa D, Miller RA, Christoforou N. Increased circulating progranulin is not sufficient to induce cardiac dysfunction or supraventricular arrhythmia. Sci Rep 2023;13:21541. [PMID: 38057339 PMCID: PMC10700350 DOI: 10.1038/s41598-023-47311-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2023] [Accepted: 11/12/2023] [Indexed: 12/08/2023] Open

Tzouanas CN, Sherman MS, Shay JE, Rubin AJ, Mead BE, Dao TT, Butzlaff T, Mana MD, Kolb KE, Walesky C, Pepe-Mooney BJ, Smith CJ, Prakadan SM, Ramseier ML, Tong EY, Joung J, Chi F, McMahon-Skates T, Winston CL, Jeong WJ, Aney KJ, Chen E, Nissim S, Zhang F, Deshpande V, Lauer GM, Yilmaz ÖH, Goessling W, Shalek AK. Chronic metabolic stress drives developmental programs and loss of tissue functions in non-transformed liver that mirror tumor states and stratify survival. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.11.30.569407. [PMID: 38077056 PMCID: PMC10705501 DOI: 10.1101/2023.11.30.569407] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/18/2023]

Abstract

Under chronic stress, cells must balance competing demands between cellular survival and tissue function. In metabolic dysfunction-associated steatotic liver disease (MASLD, formerly NAFLD/NASH), hepatocytes cooperate with structural and immune cells to perform crucial metabolic, synthetic, and detoxification functions despite nutrient imbalances. While prior work has emphasized stress-induced drivers of cell death, the dynamic adaptations of surviving cells and their functional repercussions remain unclear. Namely, we do not know which pathways and programs define cellular responses, what regulatory factors mediate (mal)adaptations, and how this aberrant activity connects to tissue-scale dysfunction and long-term disease outcomes. Here, by applying longitudinal single-cell multi -omics to a mouse model of chronic metabolic stress and extending to human cohorts, we show that stress drives survival-linked tradeoffs and metabolic rewiring, manifesting as shifts towards development-associated states in non-transformed hepatocytes with accompanying decreases in their professional functionality. Diet-induced adaptations occur significantly prior to tumorigenesis but parallel tumorigenesis-induced phenotypes and predict worsened human cancer survival. Through the development of a multi -omic computational gene regulatory inference framework and human in vitro and mouse in vivo genetic perturbations, we validate transcriptional (RELB, SOX4) and metabolic (HMGCS2) mediators that co-regulate and couple the balance between developmental state and hepatocyte functional identity programming. Our work defines cellular features of liver adaptation to chronic stress as well as their links to long-term disease outcomes and cancer hallmarks, unifying diverse axes of cellular dysfunction around core causal mechanisms.

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Affiliation(s)

Constantine N. Tzouanas Institute for Medical Engineering & Science, Massachusetts Institute of Technology, Cambridge, MA, USA Harvard-MIT Program in Health Sciences and Technology, Harvard Medical School, Cambridge, MA, USA Broad Institute of MIT and Harvard, Cambridge, MA, USA Ragon Institute of MGH, MIT, and Harvard, Cambridge, MA, USA David H. Koch Institute for Integrative Cancer Research, MIT, Cambridge, MA, USA Department of Chemistry, Massachusetts Institute of Technology, Cambridge, MA, USA These authors contributed equally
Marc S. Sherman Genetics Division, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA Division of Gastroenterology, Massachusetts General Hospital, Boston, Massachusetts, USA These authors contributed equally
Jessica E.S. Shay David H. Koch Institute for Integrative Cancer Research, MIT, Cambridge, MA, USA Alcohol Liver Center, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA Gastrointestinal Unit, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA These authors contributed equally
Adam J. Rubin Broad Institute of MIT and Harvard, Cambridge, MA, USA Ragon Institute of MGH, MIT, and Harvard, Cambridge, MA, USA David H. Koch Institute for Integrative Cancer Research, MIT, Cambridge, MA, USA Department of Chemistry, Massachusetts Institute of Technology, Cambridge, MA, USA
Benjamin E. Mead Institute for Medical Engineering & Science, Massachusetts Institute of Technology, Cambridge, MA, USA Broad Institute of MIT and Harvard, Cambridge, MA, USA Ragon Institute of MGH, MIT, and Harvard, Cambridge, MA, USA David H. Koch Institute for Integrative Cancer Research, MIT, Cambridge, MA, USA Department of Chemistry, Massachusetts Institute of Technology, Cambridge, MA, USA
Tyler T. Dao Institute for Medical Engineering & Science, Massachusetts Institute of Technology, Cambridge, MA, USA Broad Institute of MIT and Harvard, Cambridge, MA, USA Ragon Institute of MGH, MIT, and Harvard, Cambridge, MA, USA David H. Koch Institute for Integrative Cancer Research, MIT, Cambridge, MA, USA Department of Chemistry, Massachusetts Institute of Technology, Cambridge, MA, USA Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA
Titus Butzlaff Genetics Division, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
Miyeko D. Mana David H. Koch Institute for Integrative Cancer Research, MIT, Cambridge, MA, USA Department of Biology, Massachusetts Institute of Technology, Cambridge, MA, USA School of Life Sciences, Arizona State University, Tempe, AZ, USA
Kellie E. Kolb Institute for Medical Engineering & Science, Massachusetts Institute of Technology, Cambridge, MA, USA Broad Institute of MIT and Harvard, Cambridge, MA, USA Ragon Institute of MGH, MIT, and Harvard, Cambridge, MA, USA David H. Koch Institute for Integrative Cancer Research, MIT, Cambridge, MA, USA Department of Chemistry, Massachusetts Institute of Technology, Cambridge, MA, USA
Chad Walesky Genetics Division, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
Brian J. Pepe-Mooney Harvard-MIT Program in Health Sciences and Technology, Harvard Medical School, Cambridge, MA, USA Genetics Division, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA Division of Gastroenterology, Massachusetts General Hospital, Boston, Massachusetts, USA
Colton J. Smith Genetics Division, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
Sanjay M. Prakadan Institute for Medical Engineering & Science, Massachusetts Institute of Technology, Cambridge, MA, USA Broad Institute of MIT and Harvard, Cambridge, MA, USA Ragon Institute of MGH, MIT, and Harvard, Cambridge, MA, USA David H. Koch Institute for Integrative Cancer Research, MIT, Cambridge, MA, USA Department of Chemistry, Massachusetts Institute of Technology, Cambridge, MA, USA
Michelle L. Ramseier Institute for Medical Engineering & Science, Massachusetts Institute of Technology, Cambridge, MA, USA Harvard-MIT Program in Health Sciences and Technology, Harvard Medical School, Cambridge, MA, USA Broad Institute of MIT and Harvard, Cambridge, MA, USA Ragon Institute of MGH, MIT, and Harvard, Cambridge, MA, USA David H. Koch Institute for Integrative Cancer Research, MIT, Cambridge, MA, USA Department of Chemistry, Massachusetts Institute of Technology, Cambridge, MA, USA
Evelyn Y. Tong Institute for Medical Engineering & Science, Massachusetts Institute of Technology, Cambridge, MA, USA Harvard-MIT Program in Health Sciences and Technology, Harvard Medical School, Cambridge, MA, USA Broad Institute of MIT and Harvard, Cambridge, MA, USA Ragon Institute of MGH, MIT, and Harvard, Cambridge, MA, USA David H. Koch Institute for Integrative Cancer Research, MIT, Cambridge, MA, USA Department of Chemistry, Massachusetts Institute of Technology, Cambridge, MA, USA
Julia Joung Broad Institute of MIT and Harvard, Cambridge, MA, USA Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA Department of Brain and Cognitive Science, MA, Cambridge, MA, USA McGovern Institute for Brain Research at MIT, Cambridge, MA, USA Howard Hughes Medical Institute, MIT, Cambridge, MA, USA Whitehead Institute for Biomedical Research, Cambridge, MA, USA
Fangtao Chi David H. Koch Institute for Integrative Cancer Research, MIT, Cambridge, MA, USA
Thomas McMahon-Skates Genetics Division, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
Carolyn L. Winston Genetics Division, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
Woo-Jeong Jeong Harvard-MIT Program in Health Sciences and Technology, Harvard Medical School, Cambridge, MA, USA Genetics Division, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA Dana-Farber Cancer Institute, Boston, MA, USA
Katherine J. Aney Harvard-MIT Program in Health Sciences and Technology, Harvard Medical School, Cambridge, MA, USA Genetics Division, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA Dana-Farber Cancer Institute, Boston, MA, USA
Ethan Chen Harvard-MIT Program in Health Sciences and Technology, Harvard Medical School, Cambridge, MA, USA Genetics Division, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA Dana-Farber Cancer Institute, Boston, MA, USA
Sahar Nissim Harvard-MIT Program in Health Sciences and Technology, Harvard Medical School, Cambridge, MA, USA Genetics Division, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA Dana-Farber Cancer Institute, Boston, MA, USA Gastroenterology Division, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
Feng Zhang Broad Institute of MIT and Harvard, Cambridge, MA, USA Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA Department of Brain and Cognitive Science, MA, Cambridge, MA, USA McGovern Institute for Brain Research at MIT, Cambridge, MA, USA Howard Hughes Medical Institute, MIT, Cambridge, MA, USA
Vikram Deshpande Department of Pathology, Massachusetts General Hospital, Boston, MA
Georg M. Lauer Division of Gastroenterology, Massachusetts General Hospital, Boston, Massachusetts, USA
Ömer H. Yilmaz David H. Koch Institute for Integrative Cancer Research, MIT, Cambridge, MA, USA Department of Biology, Massachusetts Institute of Technology, Cambridge, MA, USA Department of Pathology, Massachusetts General Hospital, Boston, MA These senior authors contributed equally
Wolfram Goessling Harvard-MIT Program in Health Sciences and Technology, Harvard Medical School, Cambridge, MA, USA Genetics Division, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA Division of Gastroenterology, Massachusetts General Hospital, Boston, Massachusetts, USA Dana-Farber Cancer Institute, Boston, MA, USA Harvard Stem Cell Institute, Cambridge, MA, USA Developmental and Regenerative Biology Program, Harvard Medical School, Boston, MA, USA These senior authors contributed equally
Alex K. Shalek Institute for Medical Engineering & Science, Massachusetts Institute of Technology, Cambridge, MA, USA Harvard-MIT Program in Health Sciences and Technology, Harvard Medical School, Cambridge, MA, USA Broad Institute of MIT and Harvard, Cambridge, MA, USA Ragon Institute of MGH, MIT, and Harvard, Cambridge, MA, USA David H. Koch Institute for Integrative Cancer Research, MIT, Cambridge, MA, USA Department of Chemistry, Massachusetts Institute of Technology, Cambridge, MA, USA These senior authors contributed equally

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Bowman FM, Summers SA, Holland WL. Placing a Hex on Glucose Uptake. Diabetes 2023;72:690-692. [PMID: 37205863 PMCID: PMC10202762 DOI: 10.2337/dbi22-0040] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/20/2023] [Accepted: 02/27/2023] [Indexed: 05/21/2023]

Teong XT, Liu K, Vincent AD, Bensalem J, Liu B, Hattersley KJ, Zhao L, Feinle-Bisset C, Sargeant TJ, Wittert GA, Hutchison AT, Heilbronn LK. Intermittent fasting plus early time-restricted eating versus calorie restriction and standard care in adults at risk of type 2 diabetes: a randomized controlled trial. Nat Med 2023;29:963-972. [PMID: 37024596 DOI: 10.1038/s41591-023-02287-7] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2022] [Accepted: 03/02/2023] [Indexed: 04/08/2023]

Affiliation(s)

Xiao Tong Teong Adelaide Medical School, The University of Adelaide, Adelaide, South Australia, Australia Lifelong Health Theme, South Australian Health and Medical Research Institute, Adelaide, South Australia, Australia
Kai Liu Adelaide Medical School, The University of Adelaide, Adelaide, South Australia, Australia Lifelong Health Theme, South Australian Health and Medical Research Institute, Adelaide, South Australia, Australia
Andrew D Vincent Adelaide Medical School, The University of Adelaide, Adelaide, South Australia, Australia Lifelong Health Theme, South Australian Health and Medical Research Institute, Adelaide, South Australia, Australia
Julien Bensalem Adelaide Medical School, The University of Adelaide, Adelaide, South Australia, Australia Lifelong Health Theme, South Australian Health and Medical Research Institute, Adelaide, South Australia, Australia
Bo Liu Adelaide Medical School, The University of Adelaide, Adelaide, South Australia, Australia Lifelong Health Theme, South Australian Health and Medical Research Institute, Adelaide, South Australia, Australia
Kathryn J Hattersley Lifelong Health Theme, South Australian Health and Medical Research Institute, Adelaide, South Australia, Australia
Lijun Zhao Adelaide Medical School, The University of Adelaide, Adelaide, South Australia, Australia Lifelong Health Theme, South Australian Health and Medical Research Institute, Adelaide, South Australia, Australia
Christine Feinle-Bisset Adelaide Medical School, The University of Adelaide, Adelaide, South Australia, Australia
Timothy J Sargeant Lifelong Health Theme, South Australian Health and Medical Research Institute, Adelaide, South Australia, Australia
Gary A Wittert Adelaide Medical School, The University of Adelaide, Adelaide, South Australia, Australia Lifelong Health Theme, South Australian Health and Medical Research Institute, Adelaide, South Australia, Australia
Amy T Hutchison Adelaide Medical School, The University of Adelaide, Adelaide, South Australia, Australia Lifelong Health Theme, South Australian Health and Medical Research Institute, Adelaide, South Australia, Australia
Leonie K Heilbronn Adelaide Medical School, The University of Adelaide, Adelaide, South Australia, Australia. Lifelong Health Theme, South Australian Health and Medical Research Institute, Adelaide, South Australia, Australia.

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Changes on proteomic and metabolomic profiling of cryopreserved sperm effected by melatonin. J Proteomics 2023;273:104791. [PMID: 36538967 DOI: 10.1016/j.jprot.2022.104791] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2022] [Revised: 12/03/2022] [Accepted: 12/05/2022] [Indexed: 12/23/2022]

Abstract

Cryopreservation may reduce sperm fertility due to cryodamage including physical-chemical and oxidative stress damages. As a powerful antioxidant, melatonin has been reported to improve cryoprotective effect of sperm. However, the molecular mechanism of melatonin on cryopreserved ram sperm hasn't been fully understand. Give this, this study aimed to investigate the postthaw motility parameters, antioxidative enzyme activities and lipid peroxidation, as well as proteomic, metabolomic changes of Huang-huai ram spermatozoa with freezing medium supplemented with melatonin. Melatonin was firstly replenished to the medium to yield five different final concentrations: 0.1, 0.5, 1.0, 1.5, and 2.0 mM. A control (NC) group without melatonin replenishment was included. Protective effects of melatonin as evidenced by postthaw motility, activities of T-AOC, T-SOD, GSH-Px, CAT, contents of MDA, 4-HNE, as well as acrosome integrity, plasma membrane integrity, with 0.5 mM being the most effective concentration (MC group). Furthermore, 29 differentially abundant proteins involving in sperm functions were screened among Fresh, NC and MC groups of samples (n = 5) based on the 4D-LFQ, with 7 of them upregulated in Fresh and MC groups. 26 differentially abundant metabolites were obtained involving in sperm metabolism among the three groups of samples (n = 8) based on the UHPLC-QE-MS, with 18 of them upregulated in Fresh and MC groups. According to the bioinformatic analysis, melatonin may have positive effects on frozen ram spermatozoa by regulating the abundance changes of vital proteins and metabolites related to sperm function. Particularly, several proteins such as PRCP, NDUFB8, NDUFB9, SDHC, DCTN1, TUBB6, TUBA3E, SSNA1, as well as metabolites like L-histidine, L-targinine, ursolic acid, xanthine may be potential novel biomarkers for evaluating the postthaw quality of ram spermatozoa. In conclusion, a dose-dependent replenishment of melatonin to freezing medium protected ram spermatozoa during cryopreservation, which can improve motility, antioxidant enzyme activities, reduce levels of lipid peroxidation products, modify the proteomic and metabolomic profiling of cryopreserved ram spermatozoa through reduction of oxidative stress, maintenance of OXPHOS and microtubule structure. SIGNIFICANCE: Melatonin, a powerful antioxidant protects ram spermatozoa from cryopreservation injuries in a dose-dependent manner, with 0.5 mM being the most effective concentration. Furthermore, sequencing results based on the 4D-LFQ combined with the UHPLC-QE-MS indicated that melatonin modifies proteomic and metabolomic profiling of ram sperm during cryopreservation. According to the bioinformatic analysis, melatonin may have positive effects on frozen ram spermatozoa by regulating the expression changes of vital proteins and metabolites related to sperm metabolism and function. Particularly, several potential novel biomarkers for evaluating the postthaw quality of ram spermatozoa were acquired, proteins such as PRCP, NDUFB8, NDUFB9, SDHC, DCTN1, TUBB6, TUBA3E, SSNA1, as well as metabolites like L-histidine, L-targinine, ursolic acid, xanthine.

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Nardo WD, Miotto PM, Bayliss J, Nie S, Keenan SN, Montgomery MK, Watt MJ. Proteomic analysis reveals exercise training induced remodelling of hepatokine secretion and uncovers syndecan-4 as a regulator of hepatic lipid metabolism. Mol Metab 2022;60:101491. [PMID: 35381388 PMCID: PMC9034320 DOI: 10.1016/j.molmet.2022.101491] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/05/2021] [Revised: 03/22/2022] [Accepted: 03/29/2022] [Indexed: 11/04/2022] Open

Abstract

Objective

Non-alcoholic fatty liver disease (NAFLD) is linked to impaired lipid metabolism and systemic insulin resistance, which is partly mediated by altered secretion of liver proteins known as hepatokines. Regular physical activity can resolve NAFLD and improve its metabolic comorbidities, however, the effects of exercise training on hepatokine secretion and the metabolic impact of exercise-regulated hepatokines in NAFLD remain unresolved. Herein, we examined the effect of endurance exercise training on hepatocyte secreted proteins with the aim of identifying proteins that regulate metabolism and reduce NAFLD severity.

Methods

C57BL/6 mice were fed a high-fat diet for six weeks to induce NAFLD. Mice were exercise trained for a further six weeks, while the control group remained sedentary. Hepatocytes were isolated two days after the last exercise bout, and intracellular and secreted proteins were detected using label-free mass spectrometry. Hepatocyte secreted factors were applied to skeletal muscle and liver ex vivo and insulin action and fatty acid metabolism were assessed. Syndecan-4 (SDC4), identified as an exercise-responsive hepatokine, was overexpressed in the livers of mice using adeno-associated virus. Whole-body energy homeostasis was assessed by indirect calorimetry and skeletal muscle and liver metabolism was assessed using radiometric techniques.

Results

Proteomics analysis detected 2657 intracellular and 1593 secreted proteins from mouse hepatocytes. Exercise training remodelled the hepatocyte proteome, with differences in 137 intracellular and 35 secreted proteins. Bioinformatic analysis of hepatocyte secreted proteins revealed enrichment of tumour suppressive proteins and proteins involved in lipid metabolism and mitochondrial function, and suppression of oncogenes and regulators of oxidative stress. Hepatocyte secreted factors from exercise trained mice improved insulin action in skeletal muscle and increased hepatic fatty acid oxidation. Hepatocyte-specific overexpression of SDC4 reduced hepatic steatosis, which was associated with reduced hepatic fatty acid uptake, and blunted pro-inflammatory and pro-fibrotic gene expression. Treating hepatocytes with recombinant ectodomain of SDC4 (secreted form) recapitulated these effects with reduced fatty acid uptake, lipid storage and lipid droplet accumulation.

Conclusions

Remodelling of hepatokine secretion is an adaptation to regular exercise training that induces changes in metabolism in the liver and skeletal muscle. SDC4 is a novel exercise-responsive hepatokine that decreases fatty acid uptake and reduces steatosis in the liver. By understanding the proteomic changes in hepatocytes with exercise, these findings have potential for the discovery of new therapeutic targets for NAFLD.

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Exercise training remodels hepatokine secretion.

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Exercise regulated secreted factors improve insulin action in skeletal muscle.

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Syndecan-4 (SDC4) is a novel exercise-induced hepatokine.

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SDC4 reduces hepatic fatty acid uptake and hepatic steatosis.

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