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Xu G, Quan S, Schell J, Gao Y, Varmazyad M, Sreenivas P, Cruz D, Jiang H, Pan M, Han X, Palavicini JP, Zhao P, Sun X, Marchant ED, Rasmussen BB, Li G, Katsumura S, Morita M, Munkácsy E, Horikoshi N, Chocron ES, Gius D. Mitochondrial ACSS1-K635 acetylation knock-in mice exhibit altered metabolism, cell senescence, and nonalcoholic fatty liver disease. SCIENCE ADVANCES 2024; 10:eadj5942. [PMID: 38758779 PMCID: PMC11100568 DOI: 10.1126/sciadv.adj5942] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/06/2023] [Accepted: 04/15/2024] [Indexed: 05/19/2024]
Abstract
Acetyl-CoA synthetase short-chain family member 1 (ACSS1) uses acetate to generate mitochondrial acetyl-CoA and is regulated by deacetylation by sirtuin 3. We generated an ACSS1-acetylation (Ac) mimic mouse, where lysine-635 was mutated to glutamine (K635Q). Male Acss1K635Q/K635Q mice were smaller with higher metabolic rate and blood acetate and decreased liver/serum ATP and lactate levels. After a 48-hour fast, Acss1K635Q/K635Q mice presented hypothermia and liver aberrations, including enlargement, discoloration, lipid droplet accumulation, and microsteatosis, consistent with nonalcoholic fatty liver disease (NAFLD). RNA sequencing analysis suggested dysregulation of fatty acid metabolism, cellular senescence, and hepatic steatosis networks, consistent with NAFLD. Fasted Acss1K635Q/K635Q mouse livers showed increased fatty acid synthase (FASN) and stearoyl-CoA desaturase 1 (SCD1), both associated with NAFLD, and increased carbohydrate response element-binding protein binding to Fasn and Scd1 enhancer regions. Last, liver lipidomics showed elevated ceramide, lysophosphatidylethanolamine, and lysophosphatidylcholine, all associated with NAFLD. Thus, we propose that ACSS1-K635-Ac dysregulation leads to aberrant lipid metabolism, cellular senescence, and NAFLD.
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Affiliation(s)
- Guogang Xu
- Department of Radiation Oncology, Mays Cancer Center at UT Health San Antonio MD Anderson, Joe R. and Teresa Lozano Long School of Medicine, UT Health San Antonio, San Antonio, TX, USA
- Barshop Institute for Longevity and Aging Studies, UT Health San Antonio, San Antonio, TX, USA
| | - Songhua Quan
- Department of Radiation Oncology, Robert Lurie Cancer Center, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Joseph Schell
- Department of Radiation Oncology, Mays Cancer Center at UT Health San Antonio MD Anderson, Joe R. and Teresa Lozano Long School of Medicine, UT Health San Antonio, San Antonio, TX, USA
- Barshop Institute for Longevity and Aging Studies, UT Health San Antonio, San Antonio, TX, USA
| | - Yucheng Gao
- Department of Radiation Oncology, Robert Lurie Cancer Center, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Mahboubeh Varmazyad
- Department of Radiation Oncology, Mays Cancer Center at UT Health San Antonio MD Anderson, Joe R. and Teresa Lozano Long School of Medicine, UT Health San Antonio, San Antonio, TX, USA
- Barshop Institute for Longevity and Aging Studies, UT Health San Antonio, San Antonio, TX, USA
| | - Prethish Sreenivas
- Department of Radiation Oncology, Mays Cancer Center at UT Health San Antonio MD Anderson, Joe R. and Teresa Lozano Long School of Medicine, UT Health San Antonio, San Antonio, TX, USA
- Barshop Institute for Longevity and Aging Studies, UT Health San Antonio, San Antonio, TX, USA
| | - Diego Cruz
- Department of Radiation Oncology, Mays Cancer Center at UT Health San Antonio MD Anderson, Joe R. and Teresa Lozano Long School of Medicine, UT Health San Antonio, San Antonio, TX, USA
- Barshop Institute for Longevity and Aging Studies, UT Health San Antonio, San Antonio, TX, USA
| | - Haiyan Jiang
- Department of Radiation Oncology, Mays Cancer Center at UT Health San Antonio MD Anderson, Joe R. and Teresa Lozano Long School of Medicine, UT Health San Antonio, San Antonio, TX, USA
- Barshop Institute for Longevity and Aging Studies, UT Health San Antonio, San Antonio, TX, USA
| | - Meixia Pan
- Barshop Institute for Longevity and Aging Studies, UT Health San Antonio, San Antonio, TX, USA
| | - Xianlin Han
- Barshop Institute for Longevity and Aging Studies, UT Health San Antonio, San Antonio, TX, USA
| | - Juan Pablo Palavicini
- Barshop Institute for Longevity and Aging Studies, UT Health San Antonio, San Antonio, TX, USA
- Division of Diabetes, UT Health San Antonio, San Antonio, TX, USA
| | - Peng Zhao
- Department of Biochemistry and Structural Biology, UT Health San Antonio, San Antonio, TX, USA
| | - Xiaoli Sun
- Department of Pharmacology, Mays Cancer Center, Transplant Center, UT Health San Antonio, San Antonio, TX, USA
| | - Erik D. Marchant
- Barshop Institute for Longevity and Aging Studies, UT Health San Antonio, San Antonio, TX, USA
- Department of Biochemistry and Structural Biology, UT Health San Antonio, San Antonio, TX, USA
| | - Blake B. Rasmussen
- Barshop Institute for Longevity and Aging Studies, UT Health San Antonio, San Antonio, TX, USA
- Department of Biochemistry and Structural Biology, UT Health San Antonio, San Antonio, TX, USA
| | - Guannan Li
- Barshop Institute for Longevity and Aging Studies, UT Health San Antonio, San Antonio, TX, USA
| | - Sakie Katsumura
- Barshop Institute for Longevity and Aging Studies, UT Health San Antonio, San Antonio, TX, USA
- Department of Molecular Medicine, UT Health San Antonio, San Antonio, TX, USA
| | - Masahiro Morita
- Barshop Institute for Longevity and Aging Studies, UT Health San Antonio, San Antonio, TX, USA
- Department of Molecular Medicine, UT Health San Antonio, San Antonio, TX, USA
- Premium Research Institute for Human Metaverse Medicine (WPI-PRIMe), Osaka University, Suita, Osaka 565-0871, Japan
| | - Erin Munkácsy
- Department of Radiation Oncology, Mays Cancer Center at UT Health San Antonio MD Anderson, Joe R. and Teresa Lozano Long School of Medicine, UT Health San Antonio, San Antonio, TX, USA
- Barshop Institute for Longevity and Aging Studies, UT Health San Antonio, San Antonio, TX, USA
| | - Nobuo Horikoshi
- Department of Radiation Oncology, Mays Cancer Center at UT Health San Antonio MD Anderson, Joe R. and Teresa Lozano Long School of Medicine, UT Health San Antonio, San Antonio, TX, USA
- Barshop Institute for Longevity and Aging Studies, UT Health San Antonio, San Antonio, TX, USA
| | - E. Sandra Chocron
- Department of Radiation Oncology, Mays Cancer Center at UT Health San Antonio MD Anderson, Joe R. and Teresa Lozano Long School of Medicine, UT Health San Antonio, San Antonio, TX, USA
- Barshop Institute for Longevity and Aging Studies, UT Health San Antonio, San Antonio, TX, USA
| | - David Gius
- Department of Radiation Oncology, Mays Cancer Center at UT Health San Antonio MD Anderson, Joe R. and Teresa Lozano Long School of Medicine, UT Health San Antonio, San Antonio, TX, USA
- Barshop Institute for Longevity and Aging Studies, UT Health San Antonio, San Antonio, TX, USA
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Huneault HE, Chen CY, Cohen CC, Liu X, Jarrell ZR, He Z, DeSantos KE, Welsh JA, Maner-Smith KM, Ortlund EA, Schwimmer JB, Vos MB. Lipidome Changes Associated with a Diet-Induced Reduction in Hepatic Fat among Adolescent Boys with Metabolic Dysfunction-Associated Steatotic Liver Disease. Metabolites 2024; 14:191. [PMID: 38668319 PMCID: PMC11052520 DOI: 10.3390/metabo14040191] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2024] [Revised: 03/21/2024] [Accepted: 03/26/2024] [Indexed: 04/28/2024] Open
Abstract
Little is known about lipid changes that occur in the setting of metabolic-dysfunction-associated steatotic liver disease (MASLD) regression. We previously reported improvements in hepatic steatosis, de novo lipogenesis (DNL), and metabolomic profiles associated with oxidative stress, inflammation, and selected lipid metabolism in 40 adolescent boys (11-16 y) with hepatic steatosis ≥5% (98% meeting the definition of MASLD). Participants were randomized to a low-free-sugar diet (LFSD) (n = 20) or usual diet (n = 20) for 8 weeks. Here, we employed untargeted/targeted lipidomics to examine lipid adaptations associated with the LFSD and improvement of hepatic steatosis. Our LC-MS/MS analysis revealed decreased triglycerides (TGs), diacylglycerols (DGs), cholesteryl esters (ChE), lysophosphatidylcholine (LPC), and phosphatidylcholine (PC) species with the diet intervention (p < 0.05). Network analysis demonstrated significantly lower levels of palmitate-enriched TG species post-intervention, mirroring the previously shown reduction in DNL in response to the LFSD. Targeted oxylipins analysis revealed a decrease in the abundance of 8-isoprostane and 14,15-DiHET and an increase in 8,9-DiHET (p < 0.05). Overall, we observed reductions in TGs, DGs, ChE, PC, and LPC species among participants in the LFSD group. These same lipids have been associated with MASLD progression; therefore, our findings may indicate normalization of key biological processes, including lipid metabolism, insulin resistance, and lipotoxicity. Additionally, our targeted oxylipins assay revealed novel changes in eicosanoids, suggesting improvements in oxidative stress. Future studies are needed to elucidate the mechanisms of these findings and prospects of these lipids as biomarkers of MASLD regression.
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Affiliation(s)
- Helaina E. Huneault
- Nutrition & Health Sciences Doctoral Program, Laney Graduate School, Emory University, Atlanta, GA 30322, USA; (J.A.W.); (M.B.V.)
| | - Chih-Yu Chen
- Department of Biochemistry, Emory School of Medicine, Emory University, Atlanta, GA 30329, USA; (C.-Y.C.); (X.L.); (E.A.O.)
| | - Catherine C. Cohen
- Section of Nutrition, Department of Pediatrics, School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA; (C.C.C.); (K.M.M.-S.)
| | - Xueyun Liu
- Department of Biochemistry, Emory School of Medicine, Emory University, Atlanta, GA 30329, USA; (C.-Y.C.); (X.L.); (E.A.O.)
| | - Zachery R. Jarrell
- Division of Pulmonary, Allergy and Critical Care Medicine, Emory University, Atlanta, GA 30322, USA;
| | - Zhulin He
- Pediatric Biostatistics Core, Department of Pediatrics, School of Medicine, Emory University, Atlanta, GA 30322, USA;
| | - Karla E. DeSantos
- Division of Gastroenterology, Hepatology, and Nutrition, Department of Pediatrics, Emory University, Atlanta, GA 30322, USA;
- Children’s Healthcare of Atlanta, Atlanta, GA 30322, USA
| | - Jean A. Welsh
- Nutrition & Health Sciences Doctoral Program, Laney Graduate School, Emory University, Atlanta, GA 30322, USA; (J.A.W.); (M.B.V.)
- Children’s Healthcare of Atlanta, Atlanta, GA 30322, USA
| | - Kristal M. Maner-Smith
- Section of Nutrition, Department of Pediatrics, School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA; (C.C.C.); (K.M.M.-S.)
| | - Eric A. Ortlund
- Department of Biochemistry, Emory School of Medicine, Emory University, Atlanta, GA 30329, USA; (C.-Y.C.); (X.L.); (E.A.O.)
| | - Jeffrey B. Schwimmer
- Department of Gastroenterology, Rady Children’s Hospital San Diego, San Diego, CA 92123, USA;
- Department of Pediatrics, School of Medicine, University of California, San Diego, CA 92093, USA
| | - Miriam B. Vos
- Nutrition & Health Sciences Doctoral Program, Laney Graduate School, Emory University, Atlanta, GA 30322, USA; (J.A.W.); (M.B.V.)
- Division of Gastroenterology, Hepatology, and Nutrition, Department of Pediatrics, Emory University, Atlanta, GA 30322, USA;
- Children’s Healthcare of Atlanta, Atlanta, GA 30322, USA
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3
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Rives C, Martin CMP, Evariste L, Polizzi A, Huillet M, Lasserre F, Alquier-Bacquie V, Perrier P, Gomez J, Lippi Y, Naylies C, Levade T, Sabourdy F, Remignon H, Fafournoux P, Chassaing B, Loiseau N, Guillou H, Ellero-Simatos S, Gamet-Payrastre L, Fougerat A. Dietary Amino Acid Source Elicits Sex-Specific Metabolic Response to Diet-Induced NAFLD in Mice. Mol Nutr Food Res 2024; 68:e2300491. [PMID: 37888831 DOI: 10.1002/mnfr.202300491] [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: 07/13/2023] [Revised: 09/21/2023] [Indexed: 10/28/2023]
Abstract
SCOPE Non-alcoholic fatty liver disease (NAFLD) is a sexually dimorphic disease influenced by dietary factors. Here, the metabolic and hepatic effects of dietary amino acid (AA) source is assessed in Western diet (WD)-induced NAFLD in male and female mice. METHODS AND RESULTS The AA source is either casein or a free AA mixture mimicking the composition of casein. As expected, males fed a casein-based WD display glucose intolerance, fasting hyperglycemia, and insulin-resistance and develop NAFLD associated with changes in hepatic gene expression and microbiota dysbiosis. In contrast, males fed the AA-based WD show no steatosis, a similar gene expression profile as males fed a control diet, and a distinct microbiota composition compared to males fed a casein-based WD. Females are protected against WD-induced liver damage, hepatic gene expression, and gut microbiota changes regardless of the AA source. CONCLUSIONS Free dietary AA intake prevents the unhealthy metabolic outcomes of a WD preferentially in male mice.
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Affiliation(s)
- Clémence Rives
- Toxalim (Research Centre in Food Toxicology), INRAE, ENVT, INP-Purpan, UPS, Toulouse University, Toulouse, 31170, France
| | - Céline Marie Pauline Martin
- Toxalim (Research Centre in Food Toxicology), INRAE, ENVT, INP-Purpan, UPS, Toulouse University, Toulouse, 31170, France
| | - Lauris Evariste
- Toxalim (Research Centre in Food Toxicology), INRAE, ENVT, INP-Purpan, UPS, Toulouse University, Toulouse, 31170, France
| | - Arnaud Polizzi
- Toxalim (Research Centre in Food Toxicology), INRAE, ENVT, INP-Purpan, UPS, Toulouse University, Toulouse, 31170, France
| | - Marine Huillet
- Toxalim (Research Centre in Food Toxicology), INRAE, ENVT, INP-Purpan, UPS, Toulouse University, Toulouse, 31170, France
| | - Frédéric Lasserre
- Toxalim (Research Centre in Food Toxicology), INRAE, ENVT, INP-Purpan, UPS, Toulouse University, Toulouse, 31170, France
| | - Valérie Alquier-Bacquie
- Toxalim (Research Centre in Food Toxicology), INRAE, ENVT, INP-Purpan, UPS, Toulouse University, Toulouse, 31170, France
| | - Prunelle Perrier
- Toxalim (Research Centre in Food Toxicology), INRAE, ENVT, INP-Purpan, UPS, Toulouse University, Toulouse, 31170, France
| | - Jelskey Gomez
- Toxalim (Research Centre in Food Toxicology), INRAE, ENVT, INP-Purpan, UPS, Toulouse University, Toulouse, 31170, France
| | - Yannick Lippi
- Toxalim (Research Centre in Food Toxicology), INRAE, ENVT, INP-Purpan, UPS, Toulouse University, Toulouse, 31170, France
| | - Claire Naylies
- Toxalim (Research Centre in Food Toxicology), INRAE, ENVT, INP-Purpan, UPS, Toulouse University, Toulouse, 31170, France
| | - Thierry Levade
- INSERM U1037, CRCT, Paul Sabatier University, Toulouse, 31059, France
- Biochemistry Laboratory, CHU Toulouse, Toulouse, 31300, France
| | - Frédérique Sabourdy
- INSERM U1037, CRCT, Paul Sabatier University, Toulouse, 31059, France
- Biochemistry Laboratory, CHU Toulouse, Toulouse, 31300, France
| | - Hervé Remignon
- Toxalim (Research Centre in Food Toxicology), INRAE, ENVT, INP-Purpan, UPS, Toulouse University, Toulouse, 31170, France
- INP-ENSAT, Toulouse University, Castanet-Tolosan, 31320, France
| | - Pierre Fafournoux
- INRAE center, Proteostasis Tim, Saint Genes Champanelle, 63122, France
| | - Benoit Chassaing
- INSERM U1016, Team "Mucosal microbiota in chronic inflammatory diseases", CNRS UMR10 8104, Paris Cité University, Paris, 75014, France
| | - Nicolas Loiseau
- Toxalim (Research Centre in Food Toxicology), INRAE, ENVT, INP-Purpan, UPS, Toulouse University, Toulouse, 31170, France
| | - Hervé Guillou
- Toxalim (Research Centre in Food Toxicology), INRAE, ENVT, INP-Purpan, UPS, Toulouse University, Toulouse, 31170, France
| | - Sandrine Ellero-Simatos
- Toxalim (Research Centre in Food Toxicology), INRAE, ENVT, INP-Purpan, UPS, Toulouse University, Toulouse, 31170, France
| | - Laurence Gamet-Payrastre
- Toxalim (Research Centre in Food Toxicology), INRAE, ENVT, INP-Purpan, UPS, Toulouse University, Toulouse, 31170, France
| | - Anne Fougerat
- Toxalim (Research Centre in Food Toxicology), INRAE, ENVT, INP-Purpan, UPS, Toulouse University, Toulouse, 31170, France
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4
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Jamshidi N, Feizi A, Sirlin CB, Lavine JE, Kuo MD. Multi-Modality, Multi-Dimensional Characterization of Pediatric Non-Alcoholic Fatty Liver Disease. Metabolites 2023; 13:929. [PMID: 37623872 PMCID: PMC10456937 DOI: 10.3390/metabo13080929] [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: 07/18/2023] [Revised: 07/29/2023] [Accepted: 08/02/2023] [Indexed: 08/26/2023] Open
Abstract
Non-alcoholic fatty liver disease is a multifaceted disease that progresses through multiple phases; it involves metabolic as well as structural changes. These alterations can be measured directly or indirectly through blood, non-invasive imaging, and/or tissue analyses. While some studies have evaluated the correlations between two sets of measurements (e.g., histopathology with cross-sectional imaging or blood biomarkers), the interrelationships, if any, among histopathology, clinical blood profiles, cross-sectional imaging, and metabolomics in a pediatric cohort remain unknown. We created a multiparametric clinical MRI-histopathologic NMR network map of pediatric NAFLD through multimodal correlation networks, in order to gain insight into how these different sets of measurements are related. We found that leptin and other blood markers were correlated with many other measurements; however, upon filtering out the blood biomarkers, the network was decomposed into three independent hubs centered around histopathological features, each with associated MRI and plasma metabolites. These multi-modality maps could serve as a framework for characterizing disease status and progression and could potentially guide medical interventions.
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Affiliation(s)
- Neema Jamshidi
- Department of Radiological Sciences, David Geffen School of Medicine, University of California, Los Angeles, CA 90095, USA
| | - Alborz Feizi
- School of Medicine, Yale University, New Haven, CT 06520, USA
| | - Claude B. Sirlin
- Department of Radiology, University of California, San Diego, CA 92093, USA
| | - Joel E. Lavine
- Department of Pediatrics, Columbia University, New York, NY 10027, USA
| | - Michael D. Kuo
- Medical AI Laboratory Program, The University of Hong Kong, Hong Kong SAR, China
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5
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Wu P, Wang Y, Ye Y, Yang X, Huang Y, Ye Y, Lai Y, Ouyang J, Wu L, Xu J, Yuan J, Hu Y, Wang YX, Liu G, Chen D, Pan A, Pan XF. Liver biomarkers, lipid metabolites, and risk of gestational diabetes mellitus in a prospective study among Chinese pregnant women. BMC Med 2023; 21:150. [PMID: 37069659 PMCID: PMC10111672 DOI: 10.1186/s12916-023-02818-6] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/14/2022] [Accepted: 03/06/2023] [Indexed: 04/19/2023] Open
Abstract
BACKGROUND Liver plays an important role in maintaining glucose homeostasis. We aimed to examine the associations of liver enzymes and hepatic steatosis index (HSI, a reliable biomarker for non-alcoholic fatty liver disease) in early pregnancy with subsequent GDM risk, as well as the potential mediation effects of lipid metabolites on the association between HSI and GDM. METHODS In a birth cohort, liver enzymes were measured in early pregnancy (6-15 gestational weeks, mean 10) among 6,860 Chinese women. Multivariable logistic regression was performed to examine the association between liver biomarkers and risk of GDM. Pearson partial correlation and least absolute shrinkage and selection operator (LASSO) regression were conducted to identify lipid metabolites that were significantly associated with HSI in a subset of 948 women. Mediation analyses were performed to estimate the mediating roles of lipid metabolites on the association of HSI with GDM. RESULTS Liver enzymes and HSI were associated with higher risks of GDM after adjustment for potential confounders, with ORs ranging from 1.42 to 2.24 for extreme-quartile comparisons (false discovery rate-adjusted P-trend ≤0.005). On the natural log scale, each SD increment of alanine aminotransferase, aspartate aminotransferase, gamma-glutamyl transferase, alkaline phosphatase, and HSI was associated with a 1.15-fold (95% CI: 1.05, 1.26), 1.10-fold (1.01, 1.20), 1.21-fold (1.10, 1.32), 1.15-fold (1.04, 1.27), and 1.33-fold (1.18, 1.51) increased risk of GDM, respectively. Pearson partial correlation and LASSO regression identified 15 specific lipid metabolites in relation to HSI. Up to 52.6% of the association between HSI and GDM risk was attributed to the indirect effect of the HSI-related lipid score composed of lipid metabolites predominantly from phospholipids (e.g., lysophosphatidylcholine and ceramides) and triacylglycerol. CONCLUSIONS Elevated liver enzymes and HSI in early pregnancy, even within a normal range, were associated with higher risks of GDM among Chinese pregnant women. The association of HSI with GDM was largely mediated by altered lipid metabolism.
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Affiliation(s)
- Ping Wu
- Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, China
| | - Yi Wang
- Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, China
| | - Yi Ye
- Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, China
| | - Xue Yang
- Department of Epidemiology and Biostatistics, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, 610041, Sichuan, China
| | - Yichao Huang
- Department of Toxicology, School of Public Health, Anhui Medical University, Hefei, 230032, Anhui, China
| | - Yixiang Ye
- Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, China
| | - Yuwei Lai
- Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, China
| | - Jing Ouyang
- Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, China
| | - Linjing Wu
- Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, China
| | - Jianguo Xu
- Department of Clinical Laboratories, Shuangliu Maternal and Child Health Hospital, Chengdu, 610200, Sichuan, China
| | - Jiaying Yuan
- Department of Science and Education, Shuangliu Maternal and Child Health Hospital, Chengdu, 610200, Sichuan, China
| | - Yayi Hu
- Department of Obstetrics and Gynecology & Ministry of Education Key Laboratory of Birth Defects and Related Diseases of Women and Children, West China Second University Hospital, Sichuan University, Chengdu, 610041, Sichuan, China
| | - Yi-Xin Wang
- Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, China
| | - Gang Liu
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, China
| | - Da Chen
- School of Environment, Guangdong Key Laboratory of Environmental Pollution and Health, Jinan University, Guangzhou, 511436, Guangdong, China
| | - An Pan
- Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, China.
| | - Xiong-Fei Pan
- Section of Epidemiology and Population Health & Department of Obstetrics and Gynecology, Ministry of Education Key Laboratory of Birth Defects and Related Diseases of Women and Children & National Medical Products Administration Key Laboratory for Technical Research on Drug Products In Vitro and In Vivo Correlation, West China Second University Hospital, Sichuan University, Sichuan, Chengdu, 610041, China.
- Shuangliu Institute of Women's and Children's Health, Shuangliu Maternal and Child Health Hospital, Chengdu, 610041, Sichuan, China.
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6
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Coleman MJ, Espino LM, Lebensohn H, Zimkute MV, Yaghooti N, Ling CL, Gross JM, Listwan N, Cano S, Garcia V, Lovato DM, Tigert SL, Jones DR, Gullapalli RR, Rakov NE, Torrazza Perez EG, Castillo EF. Individuals with Metabolic Syndrome Show Altered Fecal Lipidomic Profiles with No Signs of Intestinal Inflammation or Increased Intestinal Permeability. Metabolites 2022; 12:431. [PMID: 35629938 PMCID: PMC9143200 DOI: 10.3390/metabo12050431] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2022] [Revised: 05/05/2022] [Accepted: 05/06/2022] [Indexed: 11/17/2022] Open
Abstract
BACKGROUND Metabolic Syndrome (MetS) is a clinical diagnosis where patients exhibit three out of the five risk factors: hypertriglyceridemia, low high-density lipoprotein (HDL) cholesterol, hyperglycemia, elevated blood pressure, or increased abdominal obesity. MetS arises due to dysregulated metabolic pathways that culminate with insulin resistance and put individuals at risk to develop various comorbidities with far-reaching medical consequences such as non-alcoholic fatty liver disease (NAFLD) and cardiovascular disease. As it stands, the exact pathogenesis of MetS as well as the involvement of the gastrointestinal tract in MetS is not fully understood. Our study aimed to evaluate intestinal health in human subjects with MetS. METHODS We examined MetS risk factors in individuals through body measurements and clinical and biochemical blood analysis. To evaluate intestinal health, gut inflammation was measured by fecal calprotectin, intestinal permeability through the lactulose-mannitol test, and utilized fecal metabolomics to examine alterations in the host-microbiota gut metabolism. RESULTS No signs of intestinal inflammation or increased intestinal permeability were observed in the MetS group compared to our control group. However, we found a significant increase in 417 lipid features of the gut lipidome in our MetS cohort. An identified fecal lipid, diacyl-glycerophosphocholine, showed a strong correlation with several MetS risk factors. Although our MetS cohort showed no signs of intestinal inflammation, they presented with increased levels of serum TNFα that also correlated with increasing triglyceride and fecal diacyl-glycerophosphocholine levels and decreasing HDL cholesterol levels. CONCLUSION Taken together, our main results show that MetS subjects showed major alterations in fecal lipid profiles suggesting alterations in the intestinal host-microbiota metabolism that may arise before concrete signs of gut inflammation or intestinal permeability become apparent. Lastly, we posit that fecal metabolomics could serve as a non-invasive, accurate screening method for both MetS and NAFLD.
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Affiliation(s)
- Mia J. Coleman
- University of New Mexico School of Medicine, University of New Mexico Health Sciences Center, Albuquerque, NM 87131, USA; (M.J.C.); (L.M.E.); (H.L.)
| | - Luis M. Espino
- University of New Mexico School of Medicine, University of New Mexico Health Sciences Center, Albuquerque, NM 87131, USA; (M.J.C.); (L.M.E.); (H.L.)
| | - Hernan Lebensohn
- University of New Mexico School of Medicine, University of New Mexico Health Sciences Center, Albuquerque, NM 87131, USA; (M.J.C.); (L.M.E.); (H.L.)
| | - Marija V. Zimkute
- Clinical and Translational Science Center, University of New Mexico Health Sciences Center, Albuquerque, NM 87131, USA; (M.V.Z.); (J.M.G.); (N.L.); (S.C.); (V.G.); (D.M.L.); (S.L.T.)
| | - Negar Yaghooti
- Division of Gastroenterology and Hepatology, Department of Internal Medicine, University of New Mexico Health Sciences Center, Albuquerque, NM 87131, USA; (N.Y.); (C.L.L.); (N.E.R.); (E.G.T.P.)
| | - Christina L. Ling
- Division of Gastroenterology and Hepatology, Department of Internal Medicine, University of New Mexico Health Sciences Center, Albuquerque, NM 87131, USA; (N.Y.); (C.L.L.); (N.E.R.); (E.G.T.P.)
| | - Jessica M. Gross
- Clinical and Translational Science Center, University of New Mexico Health Sciences Center, Albuquerque, NM 87131, USA; (M.V.Z.); (J.M.G.); (N.L.); (S.C.); (V.G.); (D.M.L.); (S.L.T.)
| | - Natalia Listwan
- Clinical and Translational Science Center, University of New Mexico Health Sciences Center, Albuquerque, NM 87131, USA; (M.V.Z.); (J.M.G.); (N.L.); (S.C.); (V.G.); (D.M.L.); (S.L.T.)
| | - Sandra Cano
- Clinical and Translational Science Center, University of New Mexico Health Sciences Center, Albuquerque, NM 87131, USA; (M.V.Z.); (J.M.G.); (N.L.); (S.C.); (V.G.); (D.M.L.); (S.L.T.)
| | - Vanessa Garcia
- Clinical and Translational Science Center, University of New Mexico Health Sciences Center, Albuquerque, NM 87131, USA; (M.V.Z.); (J.M.G.); (N.L.); (S.C.); (V.G.); (D.M.L.); (S.L.T.)
| | - Debbie M. Lovato
- Clinical and Translational Science Center, University of New Mexico Health Sciences Center, Albuquerque, NM 87131, USA; (M.V.Z.); (J.M.G.); (N.L.); (S.C.); (V.G.); (D.M.L.); (S.L.T.)
| | - Susan L. Tigert
- Clinical and Translational Science Center, University of New Mexico Health Sciences Center, Albuquerque, NM 87131, USA; (M.V.Z.); (J.M.G.); (N.L.); (S.C.); (V.G.); (D.M.L.); (S.L.T.)
| | - Drew R. Jones
- Metabolomics Core Resource Laboratory, New York University Langone Health, New York, NY 10016, USA;
| | - Rama R. Gullapalli
- Department of Pathology, University of New Mexico Health Sciences Center, Albuquerque, NM 87131, USA;
| | - Neal E. Rakov
- Division of Gastroenterology and Hepatology, Department of Internal Medicine, University of New Mexico Health Sciences Center, Albuquerque, NM 87131, USA; (N.Y.); (C.L.L.); (N.E.R.); (E.G.T.P.)
| | - Euriko G. Torrazza Perez
- Division of Gastroenterology and Hepatology, Department of Internal Medicine, University of New Mexico Health Sciences Center, Albuquerque, NM 87131, USA; (N.Y.); (C.L.L.); (N.E.R.); (E.G.T.P.)
| | - Eliseo F. Castillo
- Clinical and Translational Science Center, University of New Mexico Health Sciences Center, Albuquerque, NM 87131, USA; (M.V.Z.); (J.M.G.); (N.L.); (S.C.); (V.G.); (D.M.L.); (S.L.T.)
- Division of Gastroenterology and Hepatology, Department of Internal Medicine, University of New Mexico Health Sciences Center, Albuquerque, NM 87131, USA; (N.Y.); (C.L.L.); (N.E.R.); (E.G.T.P.)
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Ismaiel A, Spinu M, Socaciu C, Budisan L, Leucuta DC, Popa SL, Chis BA, Berindan-Neagoe I, Olinic DM, Dumitrascu DL. Metabolic biomarkers related to cardiac dysfunction in metabolic-dysfunction-associated fatty liver disease: a cross-sectional analysis. Nutr Diabetes 2022; 12:4. [PMID: 35042855 PMCID: PMC8764324 DOI: 10.1038/s41387-022-00182-7] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/15/2021] [Revised: 11/17/2021] [Accepted: 12/07/2021] [Indexed: 12/16/2022] Open
Abstract
INTRODUCTION Hepatic steatosis is associated with cardiac systolic and diastolic dysfunction. Therefore, we evaluated metabolites and their potential cardiovascular effects in metabolic-dysfunction-associated fatty liver disease (MAFLD). MATERIALS AND METHODS We conducted a cross-sectional study involving 75 participants (38 MAFLD and 37 controls). Hepatic steatosis was confirmed by hepatic ultrasonography and SteatoTestTM. Cardiac function was assessed using echocardiography. Metabolomic analysis was conducted using ultra-high-performance liquid chromatography-mass spectrometry. RESULTS The median age for participants' age was 45 (IQR 30-56.5), with gender distribution of 35 males and 40 females. MAFLD patients had lower levels of glycyl tyrosine (p-value < 0.001), lysophosphatidylcholine (LPC) (18:2/0:0) (p-value < 0.001), LPC (22:6) (p-value < 0.001), and ceramide (Cer) (d18:0/23:0) (p-value 0.003) compared to controls. MAFLD patients presented lower left ventricular ejection fraction (LVEF), E/A ratio, E/e' ratio, and average global longitudinal strain (GLS) values, with a p-value of 0.047, <0.001, 0.008, and <0.001, respectively. Decreased glycyl tyrosine levels were significantly correlated with reduced LVEF, even after performing multiple linear regression with 95% CI (1.34-3.394, p-value < 0.001). Moreover, decreased LPC (18:2/0:0) levels remained significantly associated with E/A ratio, even after adjusting for confounding factors with 95% CI (0.008-0.258, p-value = 0.042). CONCLUSION MAFLD patients are at risk for developing cardiac systolic and subclinical systolic dysfunctions, as well as diastolic dysfunction. Decreased glycyl tyrosine levels correlate with reduced LVEF and LPC (18:2/0:0) levels with diastolic dysfunction, even after adjusting for confounding factors, suggesting their potential to be used as metabolic biomarkers in detecting cardiovascular risk.
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Affiliation(s)
- Abdulrahman Ismaiel
- 2nd Department of Internal Medicine, "Iuliu Hatieganu" University of Medicine and Pharmacy, 400006, Cluj-Napoca, Romania
| | - Mihail Spinu
- Medical Clinic No. 1, "Iuliu Hatieganu" University of Medicine and Pharmacy, Cluj-Napoca, 400006, Romania
| | - Carmen Socaciu
- Department of Biochemistry, University of Agricultural Sciences and Veterinary Medicine & BIODIATECH - Research Center on Applied Biotechnology in Diagnosis and Molecular Therapy, Cluj-Napoca, Romania
| | - Livia Budisan
- Research Center for Functional Genomics, Biomedicine and Translational Medicine, "Iuliu Hațieganu" University of Medicine and Pharmacy, 400337, Cluj-Napoca, Romania
| | - Daniel-Corneliu Leucuta
- Department of Medical Informatics and Biostatistics, "Iuliu Hatieganu" University of Medicine and Pharmacy, 400349, Cluj-Napoca, Romania
| | - Stefan-Lucian Popa
- 2nd Department of Internal Medicine, "Iuliu Hatieganu" University of Medicine and Pharmacy, 400006, Cluj-Napoca, Romania.
| | - Bogdan Augustin Chis
- 2nd Department of Internal Medicine, "Iuliu Hatieganu" University of Medicine and Pharmacy, 400006, Cluj-Napoca, Romania
| | - Ioana Berindan-Neagoe
- Research Center for Functional Genomics, Biomedicine and Translational Medicine, "Iuliu Hațieganu" University of Medicine and Pharmacy, 400337, Cluj-Napoca, Romania
- Research Center for Advanced Medicine-Medfuture, Iuliu Hatieganu University of Medicine and Pharmacy, 23 Marinescu Street, 400337, Cluj-Napoca, Romania
- Department of Functional Genomics and Experimental Pathology, The Oncology Institute "Prof. Dr. Ion Chiricuta", 400015, Cluj-Napoca, Romania
| | - Dan Mircea Olinic
- Medical Clinic No. 1, "Iuliu Hatieganu" University of Medicine and Pharmacy, Cluj-Napoca, 400006, Romania
- Interventional Cardiology Department, Emergency Clinical Hospital, Cluj-Napoca, 400006, Romania
| | - Dan L Dumitrascu
- 2nd Department of Internal Medicine, "Iuliu Hatieganu" University of Medicine and Pharmacy, 400006, Cluj-Napoca, Romania
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8
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Niu L, Sulek K, Vasilopoulou CG, Santos A, Wewer Albrechtsen NJ, Rasmussen S, Meier F, Mann M. Defining NASH from a Multi-Omics Systems Biology Perspective. J Clin Med 2021; 10:jcm10204673. [PMID: 34682795 PMCID: PMC8538576 DOI: 10.3390/jcm10204673] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2021] [Revised: 10/01/2021] [Accepted: 10/08/2021] [Indexed: 12/11/2022] Open
Abstract
Non-alcoholic steatohepatitis (NASH) is a chronic liver disease affecting up to 6.5% of the general population. There is no simple definition of NASH, and the molecular mechanism underlying disease pathogenesis remains elusive. Studies applying single omics technologies have enabled a better understanding of the molecular profiles associated with steatosis and hepatic inflammation—the commonly accepted histologic features for diagnosing NASH, as well as the discovery of novel candidate biomarkers. Multi-omics analysis holds great potential to uncover new insights into disease mechanism through integrating multiple layers of molecular information. Despite the technical and computational challenges associated with such efforts, a few pioneering studies have successfully applied multi-omics technologies to investigate NASH. Here, we review the most recent technological developments in mass spectrometry (MS)-based proteomics, metabolomics, and lipidomics. We summarize multi-omics studies and emerging omics biomarkers in NASH and highlight the biological insights gained through these integrated analyses.
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Affiliation(s)
- Lili Niu
- Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, 2200 Copenhagen, Denmark; (K.S.); (A.S.); (N.J.W.A.); (S.R.); (M.M.)
- Department of Proteomics and Signal Transduction, Max Planck Institute of Biochemistry, 82152 Martinsried, Germany; (C.G.V.); (F.M.)
- Correspondence: ; Tel.: +45-3114-6118
| | - Karolina Sulek
- Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, 2200 Copenhagen, Denmark; (K.S.); (A.S.); (N.J.W.A.); (S.R.); (M.M.)
- Systems Medicine, Steno Diabetes Center Copenhagen, 2820 Gentofte, Denmark
| | - Catherine G. Vasilopoulou
- Department of Proteomics and Signal Transduction, Max Planck Institute of Biochemistry, 82152 Martinsried, Germany; (C.G.V.); (F.M.)
| | - Alberto Santos
- Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, 2200 Copenhagen, Denmark; (K.S.); (A.S.); (N.J.W.A.); (S.R.); (M.M.)
- Center for Health Data Science, University of Copenhagen, 2200 Copenhagen, Denmark
- Big Data Institute, Nuffield Department of Medicine, University of Oxford, Oxford OX3 7LF, UK
| | - Nicolai J. Wewer Albrechtsen
- Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, 2200 Copenhagen, Denmark; (K.S.); (A.S.); (N.J.W.A.); (S.R.); (M.M.)
- Department of Clinical Biochemistry, Rigshospitalet, 2100 Copenhagen, Denmark
- Department of Biomedical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, 2200 Copenhagen, Denmark
| | - Simon Rasmussen
- Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, 2200 Copenhagen, Denmark; (K.S.); (A.S.); (N.J.W.A.); (S.R.); (M.M.)
| | - Florian Meier
- Department of Proteomics and Signal Transduction, Max Planck Institute of Biochemistry, 82152 Martinsried, Germany; (C.G.V.); (F.M.)
- Functional Proteomics, Jena University Hospital, 07747 Jena, Germany
| | - Matthias Mann
- Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, 2200 Copenhagen, Denmark; (K.S.); (A.S.); (N.J.W.A.); (S.R.); (M.M.)
- Department of Proteomics and Signal Transduction, Max Planck Institute of Biochemistry, 82152 Martinsried, Germany; (C.G.V.); (F.M.)
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9
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Flores YN, Amoon AT, Su B, Velazquez-Cruz R, Ramírez-Palacios P, Salmerón J, Rivera-Paredez B, Sinsheimer JS, Lusis AJ, Huertas-Vazquez A, Saab S, Glenn BA, May FP, Williams KJ, Bastani R, Bensinger SJ. Serum lipids are associated with nonalcoholic fatty liver disease: a pilot case-control study in Mexico. Lipids Health Dis 2021; 20:136. [PMID: 34629052 PMCID: PMC8504048 DOI: 10.1186/s12944-021-01526-5] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2021] [Accepted: 08/16/2021] [Indexed: 12/12/2022] Open
Abstract
Background Nonalcoholic fatty liver disease (NAFLD) is a leading cause of chronic liver disease and cirrhosis. NAFLD is mediated by changes in lipid metabolism and known risk factors include obesity, metabolic syndrome, and diabetes. The aim of this study was to better understand differences in the lipid composition of individuals with NAFLD compared to controls, by performing direct infusion lipidomics on serum biospecimens from a cohort study of adults in Mexico. Methods A nested case-control study was conducted with a sample of 98 NAFLD cases and 100 healthy controls who are participating in an on-going, longitudinal study in Mexico. NAFLD cases were clinically confirmed using elevated liver enzyme tests and liver ultrasound or liver ultrasound elastography, after excluding alcohol abuse, and 100 controls were identified as having at least two consecutive normal alanine aminotransferase (ALT) and aspartate aminotransferase (AST) (< 40 U/L) results in a 6-month period, and a normal liver ultrasound elastography result in January 2018. Samples were analyzed on the Sciex Lipidyzer Platform and quantified with normalization to serum volume. As many as 1100 lipid species can be identified using the Lipidyzer targeted multiple-reaction monitoring list. The association between serum lipids and NAFLD was investigated using analysis of covariance, random forest analysis, and by generating receiver operator characteristic (ROC) curves. Results NAFLD cases had differences in total amounts of serum cholesterol esters, lysophosphatidylcholines, sphingomyelins, and triacylglycerols (TAGs), however, other lipid subclasses were similar to controls. Analysis of individual TAG species revealed increased incorporation of saturated fatty acyl tails in serum of NAFLD cases. After adjusting for age, sex, body mass index, and PNPLA3 genotype, a combined panel of ten lipids predicted case or control status better than an area under the ROC curve of 0.83. Conclusions These preliminary results indicate that the serum lipidome differs in patients with NAFLD, compared to healthy controls, and suggest that assessing the desaturation state of TAGs or a specific lipid panel may be useful clinical tools for the diagnosis of NAFLD. Supplementary Information The online version contains supplementary material available at 10.1186/s12944-021-01526-5.
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Affiliation(s)
- Yvonne N Flores
- Department of Health Policy and Management, Fielding School of Public Health, University of California, Los Angeles (UCLA), Los Angeles, CA, USA. .,UCLA Center for Cancer Prevention and Control and UCLA-Kaiser Permanente Center for Health Equity, Fielding School of Public Health and Jonsson Comprehensive Cancer Center, Los Angeles, CA, USA. .,Unidad de Investigación Epidemiológica y en Servicios de Salud, Morelos, Instituto Mexicano del Seguro Social, Cuernavaca, Morelos, Mexico.
| | - Aryana T Amoon
- UCLA Center for Cancer Prevention and Control and UCLA-Kaiser Permanente Center for Health Equity, Fielding School of Public Health and Jonsson Comprehensive Cancer Center, Los Angeles, CA, USA
| | - Baolong Su
- UCLA Lipidomics Laboratory, David Geffen School of Medicine, Los Angeles, CA, USA
| | - Rafael Velazquez-Cruz
- Laboratorio de Genómica del Metabolismo Óseo, Instituto Nacional de Medicina Genómica (INMEGEN), Ciudad de México, Mexico
| | - Paula Ramírez-Palacios
- Unidad de Investigación Epidemiológica y en Servicios de Salud, Morelos, Instituto Mexicano del Seguro Social, Cuernavaca, Morelos, Mexico
| | - Jorge Salmerón
- Centro de Investigación en Políticas, Población y Salud, Universidad Nacional Autónoma de México, Ciudad de México, Mexico
| | - Berenice Rivera-Paredez
- Centro de Investigación en Políticas, Población y Salud, Universidad Nacional Autónoma de México, Ciudad de México, Mexico
| | - Janet S Sinsheimer
- UCLA Department of Human Genetics and Computational Medicine, Los Angeles, CA, USA.,Department of Biostatistics, UCLA Fielding School of Public Health, Los Angeles, CA, USA
| | - Aldons J Lusis
- UCLA Department of Medicine, Division of Cardiology, David Geffen School of Medicine, Los Angeles, CA, USA.,UCLA Department of Microbiology, Immunology & Molecular Genetics, David Geffen School of Medicine, Los Angeles, CA, USA
| | - Adriana Huertas-Vazquez
- UCLA Department of Medicine, Division of Cardiology, David Geffen School of Medicine, Los Angeles, CA, USA
| | - Sammy Saab
- UCLA Department of Medicine, Vatche and Tamar Manoukian Division of Digestive Diseases, David Geffen School of Medicine, Los Angeles, CA, USA.,Pfleger Liver Institute, UCLA David Geffen School of Medicine, Los Angeles, CA, USA
| | - Beth A Glenn
- Department of Health Policy and Management, Fielding School of Public Health, University of California, Los Angeles (UCLA), Los Angeles, CA, USA.,UCLA Center for Cancer Prevention and Control and UCLA-Kaiser Permanente Center for Health Equity, Fielding School of Public Health and Jonsson Comprehensive Cancer Center, Los Angeles, CA, USA
| | - Folasade P May
- Department of Health Policy and Management, Fielding School of Public Health, University of California, Los Angeles (UCLA), Los Angeles, CA, USA.,UCLA Center for Cancer Prevention and Control and UCLA-Kaiser Permanente Center for Health Equity, Fielding School of Public Health and Jonsson Comprehensive Cancer Center, Los Angeles, CA, USA.,UCLA Department of Medicine, Vatche and Tamar Manoukian Division of Digestive Diseases, David Geffen School of Medicine, Los Angeles, CA, USA.,Department of Medicine, VA Greater Los Angeles Healthcare System, Los Angeles, CA, USA
| | - Kevin J Williams
- UCLA Lipidomics Laboratory, David Geffen School of Medicine, Los Angeles, CA, USA.,UCLA Department of Biological Chemistry, David Geffen School of Medicine, Los Angeles, CA, USA
| | - Roshan Bastani
- Department of Health Policy and Management, Fielding School of Public Health, University of California, Los Angeles (UCLA), Los Angeles, CA, USA.,UCLA Center for Cancer Prevention and Control and UCLA-Kaiser Permanente Center for Health Equity, Fielding School of Public Health and Jonsson Comprehensive Cancer Center, Los Angeles, CA, USA
| | - Steven J Bensinger
- UCLA Lipidomics Laboratory, David Geffen School of Medicine, Los Angeles, CA, USA.,UCLA Department of Microbiology, Immunology & Molecular Genetics, David Geffen School of Medicine, Los Angeles, CA, USA
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Chronic Kidney Disease on Health-Related Quality of Life in Patients with Diabetes Mellitus: A National Representative Study. J Clin Med 2021; 10:jcm10204639. [PMID: 34682762 PMCID: PMC8540120 DOI: 10.3390/jcm10204639] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2021] [Revised: 09/29/2021] [Accepted: 10/06/2021] [Indexed: 12/30/2022] Open
Abstract
Importance: With an increasing prevalence of diabetes mellitus (DM) and comorbid chronic kidney disease (CKD), health-related quality of life (HRQoL) in patients with DM and CKD needs to be better understood. Objective: To investigate the association between the severity of CKD on HRQoL in DM patients. Design: A cross-sectional study of a nationally representative population-based survey, the Korea National Health and Nutrition Examination Survey (KNHANES). Setting: Data collected between 2007 and 2018 from the KNHANES. Participants: Adult participants with DM who completed the self-administered European Quality of Life Questionnaire Five Dimension (EQ-5D) questionnaire (n = 7243). Exposures: CKD stages defined by the Kidney Disease Improving Global System (KDIGO) staging system. Main Outcomes and Measures: We estimated the odds ratios (ORs) and 95% confidence intervals (CIs) of the presence of having problems in the 5 dimensions (mobility, self-care, usual activities, pain/discomfort, and anxiety/depression) of EQ-5D by CKD stage after adjusting for socio-demographic parameters and comorbid conditions. In addition, the EQ-5D index, reflecting the overall health status, was compared across CKD stages. Results: Among 7243 participants (mean (standard error) age 58.2 (0.2) 56.9% male), 24.0% (n = 1768) had CKD and 8.6% (n = 775) had stage 3–5 CKD. Pain/discomfort was the most common problem (30.5%) among patients with DM. Participants with more advanced CKD were more likely to experience problems in all dimensions of EQ-5D except the anxiety/depression dimension. In particular, compared to those without CKD, the adjusted ORs (95% CI) for any problem in the usual activities dimension was 1.65 (1.30, 2.10) in CKD stage 3 and 4.23 (2.07, 8.67) in CKD stage 4–5. Moreover, participants with stage 3 (−0.016 (−0.029, −0.003)) and stage 4–5 CKD (−0.088 (−0.129, −0.048)) had significantly lower EQ-5D index than those without CKD. However, compared with no CKD, CKD stage 1–2 was not significantly associated with having any problem in any dimensions. Conclusions and Relevance: In this nationally representative study, patients with DM had a high prevalence of self-reported poor HRQoL and the prevalence increased with more advanced stages of CKD. Therefore, assessment of HRQoL and interventions are necessary at early stages of CKD in DM patients.
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11
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Common Transcriptional Program of Liver Fibrosis in Mouse Genetic Models and Humans. Int J Mol Sci 2021; 22:ijms22020832. [PMID: 33467660 PMCID: PMC7830925 DOI: 10.3390/ijms22020832] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2020] [Revised: 01/08/2021] [Accepted: 01/12/2021] [Indexed: 02/06/2023] Open
Abstract
Multifactorial metabolic diseases, such as non-alcoholic fatty liver disease, are a major burden to modern societies, and frequently present with no clearly defined molecular biomarkers. Herein we used system medicine approaches to decipher signatures of liver fibrosis in mouse models with malfunction in genes from unrelated biological pathways: cholesterol synthesis-Cyp51, notch signaling-Rbpj, nuclear factor kappa-light-chain-enhancer of activated B cells (NF-κB) signaling-Ikbkg, and unknown lysosomal pathway-Glmp. Enrichment analyses of Kyoto Encyclopedia of Genes and Genomes (KEGG), Reactome and TRANScription FACtor (TRANSFAC) databases complemented with genome-scale metabolic modeling revealed fibrotic signatures highly similar to liver pathologies in humans. The diverse genetic models of liver fibrosis exposed a common transcriptional program with activated estrogen receptor alpha (ERα) signaling, and a network of interactions between regulators of lipid metabolism and transcription factors from cancer pathways and the immune system. The novel hallmarks of fibrosis are downregulated lipid pathways, including fatty acid, bile acid, and steroid hormone metabolism. Moreover, distinct metabolic subtypes of liver fibrosis were proposed, supported by unique enrichment of transcription factors based on the type of insult, disease stage, or potentially, also sex. The discovered novel features of multifactorial liver fibrotic pathologies could aid also in improved stratification of other fibrosis related pathologies.
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12
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Mann JP, Pietzner M, Wittemans LB, Rolfe EDL, Kerrison ND, Imamura F, Forouhi NG, Fauman E, Allison ME, Griffin JL, Koulman A, Wareham NJ, Langenberg C. Insights into genetic variants associated with NASH-fibrosis from metabolite profiling. Hum Mol Genet 2020; 29:3451-3463. [PMID: 32720691 PMCID: PMC7116726 DOI: 10.1093/hmg/ddaa162] [Citation(s) in RCA: 25] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2020] [Revised: 06/15/2020] [Accepted: 07/16/2020] [Indexed: 12/16/2022] Open
Abstract
Several genetic discoveries robustly implicate five single-nucleotide variants in the progression of non-alcoholic fatty liver disease to non-alcoholic steatohepatitis and fibrosis (NASH-fibrosis), including a recently identified variant in MTARC1. To better understand these variants as potential therapeutic targets, we aimed to characterize their impact on metabolism using comprehensive metabolomics data from two population-based studies. A total of 9135 participants from the Fenland study and 9902 participants from the EPIC-Norfolk cohort were included in the study. We identified individuals with risk alleles associated with NASH-fibrosis: rs738409C>G in PNPLA3, rs58542926C>T in TM6SF2, rs641738C>T near MBOAT7, rs72613567TA>T in HSD17B13 and rs2642438A>G in MTARC1. Circulating levels of 1449 metabolites were measured using targeted and untargeted metabolomics. Associations between NASH-fibrosis variants and metabolites were assessed using linear regression. The specificity of variant-metabolite associations were compared to metabolite associations with ultrasound-defined steatosis, gene variants linked to liver fat (in GCKR, PPP1R3B and LYPLAL1) and gene variants linked to cirrhosis (in HFE and SERPINA1). Each NASH-fibrosis variant demonstrated a specific metabolite profile with little overlap (8/97 metabolites) comprising diverse aspects of lipid metabolism. Risk alleles in PNPLA3 and HSD17B13 were both associated with higher 3-methylglutarylcarnitine and three variants were associated with lower lysophosphatidylcholine C14:0. The risk allele in MTARC1 was associated with higher levels of sphingomyelins. There was no overlap with metabolites that associated with HFE or SERPINA1 variants. Our results suggest a link between the NASH-protective variant in MTARC1 to the metabolism of sphingomyelins and identify distinct molecular patterns associated with each of the NASH-fibrosis variants under investigation.
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Affiliation(s)
- Jake P Mann
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge, Cambridge CB2 0SL, UK
| | - Maik Pietzner
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge, Cambridge CB2 0SL, UK
| | - Laura B Wittemans
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge, Cambridge CB2 0SL, UK
| | - Emmanuela De Lucia Rolfe
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge, Cambridge CB2 0SL, UK
| | - Nicola D Kerrison
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge, Cambridge CB2 0SL, UK
| | - Fumiaki Imamura
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge, Cambridge CB2 0SL, UK
| | - Nita G Forouhi
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge, Cambridge CB2 0SL, UK
| | - Eric Fauman
- Internal Medicine Research Unit, Pfizer Worldwide Research, Development and Medical, Cambridge, MA 02142, USA
| | - Michael E Allison
- Liver Unit, Department of Medicine, Cambridge Biomedical Research Centre, Cambridge University Hospitals NHS Foundation Trust, Cambridge CB2 0QQ, UK
| | - Jules L Griffin
- MRC Human Nutrition Research, University of Cambridge, Cambridge CB1 9NL, UK
- Department of Biochemistry, Cambridge Systems Biology Centre, University of Cambridge, Cambridge CB2 1GA, UK
| | - Albert Koulman
- MRC Human Nutrition Research, University of Cambridge, Cambridge CB1 9NL, UK
- Department of Biochemistry, Cambridge Systems Biology Centre, University of Cambridge, Cambridge CB2 1GA, UK
| | - Nicholas J Wareham
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge, Cambridge CB2 0SL, UK
| | - Claudia Langenberg
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge, Cambridge CB2 0SL, UK
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13
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Tang J, Xiong K, Zhang T, Han Han. Application of Metabolomics in Diagnosis and Treatment of Chronic Liver Diseases. Crit Rev Anal Chem 2020; 52:906-916. [PMID: 33146026 DOI: 10.1080/10408347.2020.1842172] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Chronic liver disease represents stepwise destruction of the liver parenchyma after chronic liver injury, which is often difficult to be diagnosed accurately. Thus, the development of specific biomarkers of chronic liver disease is important. Metabolomics is a powerful tool for biomarker exploration, which enables the exploration of disease pathogenesis or drug action mechanisms at the global metabolic level. The metabolomics workflow generally includes collection, preparation, and analysis of samples, and data processing and bioinformatics. A metabolomics study can simultaneously detect the dysfunctions in the glucose, lipid, amino-acid, and nucleotide metabolisms. Hence, it facilitates the obtaining of a better understanding of the pathogenesis of chronic liver disease and its diagnosis. Many effective drugs could reverse the change of comprehensive biochemical phenotypes induced by chronic liver disease. They can even potentially restore the normal metabolic signatures of patients. Increasingly more researchers have begun to apply metabolomics technologies to diagnose chronic liver disease and investigate the mechanism of action of effective drugs or the variations in drug responses. We are convinced that deepening the understanding of the metabolic alterations could extend their use as powerful biomarkers, promoting the more effective clinical diagnosis and treatment of chronic liver disease in the future.
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Affiliation(s)
- Jie Tang
- Experiment Center for Teaching and Learning, Shanghai University of Traditional Chinese Medicine, Shanghai, China.,School of Pharmacy, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Kai Xiong
- Experiment Center for Teaching and Learning, Shanghai University of Traditional Chinese Medicine, Shanghai, China.,School of Pharmacy, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Tong Zhang
- Experiment Center for Teaching and Learning, Shanghai University of Traditional Chinese Medicine, Shanghai, China.,School of Pharmacy, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Han Han
- Experiment Center for Teaching and Learning, Shanghai University of Traditional Chinese Medicine, Shanghai, China.,School of Pharmacy, Shanghai University of Traditional Chinese Medicine, Shanghai, China.,Institute of Chinese Materia Medica, Shanghai University of Traditional Chinese Medicine, Shanghai, China
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14
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Perng W, Francis EC, Smith HA, Carey J, Wang D, Kechris KM, Dabelea D. Sex-Specific Metabolite Biomarkers of NAFLD in Youth: A Prospective Study in the EPOCH Cohort. J Clin Endocrinol Metab 2020; 105:5873863. [PMID: 32687159 PMCID: PMC7418446 DOI: 10.1210/clinem/dgaa467] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/02/2020] [Accepted: 07/15/2020] [Indexed: 12/16/2022]
Abstract
CONTEXT Nonalcoholic fatty liver disease (NAFLD) is the leading cause of chronic liver disease in developed nations. There are currently no accurate biomarkers of NAFLD risk in youth. OBJECTIVE Identify sex-specific metabolomics biomarkers of NAFLD in a healthy cohort of youth. DESIGN/SETTING This prospective study included 395 participants of the EPOCH cohort in Colorado, who were recruited 2006-2009 ("T1 visit") and followed for 5 years ("T2 visit"). We entered 767 metabolites measured at T1 into a reduced rank regression model to identify the strongest determinants of hepatic fat fraction (HFF) at T2, separately for boys and girls. We compared the capacity of metabolites versus conventional risk factors (overweight/obesity, insulin, alanine transaminase, aspartate transaminase) to predict NAFLD (HFF ≥5%) and high HFF (fourth vs first quartile) using area under the receiver operating characteristic curve (AUC). RESULTS Prevalence of NAFLD was 7.9% (8.5% of boys, 7.1% of girls). Mean ± SD HFF was 2.5 ± 3.1%. We identified 13 metabolites in girls and 10 metabolites in boys. Metabolites were in lipid, amino acid, and carbohydrate metabolism pathways. At T1, the metabolites outperformed conventional risk factors in prediction of high HFF but not NAFLD. At T2, the metabolites were superior to conventional risk factors as predictors of high HFF (AUC for metabolites vs conventional risk factors for boys: 0.9565 vs 0.8851, P = 0.02; for girls: 0.9450 vs 0.8469, P = 0.02) with similar trends for NAFLD, although the differences were not significant. CONCLUSIONS The metabolite profiles identified herein are superior predictors of high HFF when assessed 5 years prior and concurrently in a general-risk setting.
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Affiliation(s)
- Wei Perng
- Lifcourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Anschutz Medical Campus, Aurora Colorado
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Colorado
- Correspondence and Reprint Requests: Wei Perng, University of Colorado Denver, Anschutz Medical Campus, 12474 E. 19th Ave, Room 208, Aurora, CO 80045, USA. E-mail:
| | - Ellen C Francis
- Lifcourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Anschutz Medical Campus, Aurora Colorado
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Colorado
| | - Harry A Smith
- Department of Biostatistics and Informatics, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, Colorado
| | - John Carey
- Lifcourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Anschutz Medical Campus, Aurora Colorado
| | - Dongqing Wang
- Department of Global Health and Population, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Katerina M Kechris
- Department of Biostatistics and Informatics, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, Colorado
| | - Dana Dabelea
- Lifcourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Anschutz Medical Campus, Aurora Colorado
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Colorado
- Department of Pediatrics, University of Colorado School of Medicine, Aurora Colorado
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15
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Kang SY, Kim YJ, Park HS. Trends in the Prevalence of Non-Alcoholic Fatty Liver Disease and Its Future Predictions in Korean Men, 1998-2035. J Clin Med 2020; 9:jcm9082626. [PMID: 32823604 PMCID: PMC7465994 DOI: 10.3390/jcm9082626] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2020] [Revised: 07/15/2020] [Accepted: 08/12/2020] [Indexed: 02/06/2023] Open
Abstract
Non-alcoholic fatty liver disease (NAFLD) is a serious health concern as it can progress to liver cirrhosis and hepatoma. We investigated past trends in the prevalence of NAFLD and related factors among Korean men and women from 1998 to 2017 and predicted their future prevalence among Korean men. We used data from the Korea National Health and Nutrition Examination Survey I–VII (KNHANES). NAFLD was defined as a hepatic steatosis index of >36. Subjects with viral hepatitis, liver cirrhosis, cancer, pregnancy, and a habit of drinking ≥30 g alcohol per occasion were excluded. We evaluated the prevalence trends of NAFLD, obesity, abdominal obesity, high fat intake, and low physical activity in each KNHANES wave. For future prevalence predictions, average annual percentage changes (AAPCs) were estimated from the joinpoint model. In men, NAFLD prevalence has increased by approximately 11 percentage points in the past 19 years, reaching 30.7% in wave VII. Prevalence of obesity, abdominal obesity, high fat intake, and low physical activity also increased. The AAPC of NAFLD prevalence was 2.3% per year, and the estimated NAFLD prevalence in 2030 and 2035 was 39.1% and 43.8%, respectively. The forecasted prevalence of obesity, abdominal obesity, and high fat intake among Korean men in 2035 was 65.0%, 52.2%, and 23.5%, respectively. The estimated future prevalence of NAFLD and related factors was considerably high in the younger age group (19–45 year). In women, NAFLD prevalence has increased by approximately three percentage points in the past 19 years; however, this increase was not significant in the multivariate analysis. Public strategies to manage obesity, abdominal obesity, and unhealthy lifestyles are needed to prevent NAFLD.
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Affiliation(s)
- Seo Young Kang
- International Healthcare Center, Asan Medical Center, Seoul 05505, Korea;
| | - Ye-Jee Kim
- Department of Clinical Epidemiology and Biostatistics, Asan Medical Center, Seoul 05505, Korea;
| | - Hye Soon Park
- Department of Family Medicine, Asan Medical Center, University of Ulsan College of Medicine, 88, Olympic-ro-43-gil, Songpa-gu, Seoul 05505, Korea
- Correspondence: ; Tel.: +82-2-3010-3813; Fax: +82-2-3010-3015
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16
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Ministrini S, Montecucco F, Sahebkar A, Carbone F. Macrophages in the pathophysiology of NAFLD: The role of sex differences. Eur J Clin Invest 2020; 50:e13236. [PMID: 32294235 DOI: 10.1111/eci.13236] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/24/2020] [Revised: 03/14/2020] [Accepted: 03/14/2020] [Indexed: 12/13/2022]
Abstract
Nonalcoholic fatty liver disease (NAFLD) is a multifactorial pathological condition, which recognizes a certain sexual dimorphism. Experimental and clinical studies provided evidence for a critical role of macrophages in NAFLD development and progression. Especially, liver-resident macrophages (also known as Kupffer cells) are likely the common final pathway of several pro-steatosic signals. A huge amount of danger-associated molecular patterns recognized by Kupffer cells is provided within the liver by lipid and glucose toxicity. Other pro-inflammatory signals come from surrounding tissues into the portal vein, directly to the liver: they come from dysfunctional adipocytes, adipose tissue macrophages and gut dysbiosis. These complex crosstalks are differently represented across sexes, as sexual hormones control many of these processes. Sexual dimorphism then modulates metabolic and inflammatory cascades driving the liver from a simple steatosis to NAFLD and beyond. Here, metabolic and inflammatory mechanisms underlying NALFD pathophysiology will be updated. A special attention will be paid to describe sex-related differences that could provide insights for patient stratification and more tailored therapeutic approaches.
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Affiliation(s)
- Stefano Ministrini
- Internal Medicine Department, "Santa Maria della Misericordia" Hospital, University of Perugia, Perugia, Italy
| | - Fabrizio Montecucco
- First Clinic of Internal Medicine, Department of Internal Medicine and Centre of Excellence for Biomedical Research (CEBR), University of Genoa, Genoa, Italy.,IRCCS Ospedale Policlinico San Martino Genoa - Italian Cardiovascular Network, Genoa, Italy
| | - Amirhossein Sahebkar
- Biotechnology Research Center, Pharmaceutical Technology Institute, Mashhad University of Medical Sciences, Mashhad, Iran.,Neurogenic Inflammation Research Center, Mashhad University of Medical Sciences, Mashhad, Iran.,School of Pharmacy, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Federico Carbone
- IRCCS Ospedale Policlinico San Martino Genoa - Italian Cardiovascular Network, Genoa, Italy.,First Clinic of Internal Medicine Department of Internal Medicine, University of Genoa, Genoa, Italy
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17
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Beyoğlu D, Idle JR. Metabolomic and Lipidomic Biomarkers for Premalignant Liver Disease Diagnosis and Therapy. Metabolites 2020; 10:E50. [PMID: 32012846 PMCID: PMC7074571 DOI: 10.3390/metabo10020050] [Citation(s) in RCA: 50] [Impact Index Per Article: 12.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2020] [Revised: 01/24/2020] [Accepted: 01/26/2020] [Indexed: 02/07/2023] Open
Abstract
In recent years, there has been a plethora of attempts to discover biomarkers that are more reliable than α-fetoprotein for the early prediction and prognosis of hepatocellular carcinoma (HCC). Efforts have involved such fields as genomics, transcriptomics, epigenetics, microRNA, exosomes, proteomics, glycoproteomics, and metabolomics. HCC arises against a background of inflammation, steatosis, and cirrhosis, due mainly to hepatic insults caused by alcohol abuse, hepatitis B and C virus infection, adiposity, and diabetes. Metabolomics offers an opportunity, without recourse to liver biopsy, to discover biomarkers for premalignant liver disease, thereby alerting the potential of impending HCC. We have reviewed metabolomic studies in alcoholic liver disease (ALD), cholestasis, fibrosis, cirrhosis, nonalcoholic fatty liver (NAFL), and nonalcoholic steatohepatitis (NASH). Specificity was our major criterion in proposing clinical evaluation of indole-3-lactic acid, phenyllactic acid, N-lauroylglycine, decatrienoate, N-acetyltaurine for ALD, urinary sulfated bile acids for cholestasis, cervonoyl ethanolamide for fibrosis, 16α-hydroxyestrone for cirrhosis, and the pattern of acyl carnitines for NAFL and NASH. These examples derive from a large body of published metabolomic observations in various liver diseases in adults, adolescents, and children, together with animal models. Many other options have been tabulated. Metabolomic biomarkers for premalignant liver disease may help reduce the incidence of HCC.
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Affiliation(s)
| | - Jeffrey R. Idle
- Arthur G. Zupko’s Division of Systems Pharmacology and Pharmacogenomics, Arnold & Marie Schwartz College of Pharmacy and Health Sciences, Long Island University, 75 Dekalb Avenue, Brooklyn, NY 11201, USA;
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18
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Iruarrizaga-Lejarreta M, Arretxe E, Alonso C. Using metabolomics to develop precision medicine strategies to treat nonalcoholic steatohepatitis. EXPERT REVIEW OF PRECISION MEDICINE AND DRUG DEVELOPMENT 2019. [DOI: 10.1080/23808993.2019.1685379] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Affiliation(s)
| | - Enara Arretxe
- OWL Metabolomics, Parque Tecnológico de Bizkaia, Derio, Spain
| | - Cristina Alonso
- OWL Metabolomics, Parque Tecnológico de Bizkaia, Derio, Spain
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19
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Albracht-Schulte K, Rosairo S, Ramalingam L, Wijetunge S, Ratnayake RMCJ, Kotakadeniya HMSRB, Dawson JA, Kalupahana NS, Moustaid-Moussa N. Obesity, adipocyte hypertrophy, fasting glucose, and resistin are potential contributors to nonalcoholic fatty liver disease in South Asian women. Diabetes Metab Syndr Obes 2019; 12:863-872. [PMID: 31354322 PMCID: PMC6573778 DOI: 10.2147/dmso.s203937] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/02/2019] [Accepted: 04/01/2019] [Indexed: 12/18/2022] Open
Abstract
Purpose: Nonalcoholic fatty liver disease (NAFLD) is often referred to as the hepatic manifestation of the metabolic syndrome. The relationship between body weight, NAFLD, and insulin resistance is not well characterized in humans. Additionally, it is unclear why South Asians develop these complications at lower levels of obesity compared to their Western counterparts. Patients and methods: To address this question, we performed a cross-sectional study using a convenience sample of Sri Lankan adult females (n=34) and collected anthropometric data, adipose tissue specimens (for histology), and fasted serum samples (for metabolic and inflammatory markers). Hepatic steatosis was assessed by ultrasound scanning and used to classify participants as NAFL 0, NAFL 1, and NAFL 2. Results: Waist circumference significantly increased with increasing NAFL grade. Participants with NAFL had significantly higher body mass index, hip circumference, and fasting plasma glucose, as well as a higher mean adipocyte area in both abdominal subcutaneous and visceral areas, indicating a higher degree of adipocyte hypertrophy associated with fatty liver. There were, however, no differences in measures of dyslipidemia. Of the multiple adipokines measured, resistin was the only proinflammatory adipokine significantly elevated in NAFL 2. Conclusion: These findings indicate that measures of adiposity, fasting serum glucose, and resistin may be important indicators of NAFLD in South Asian women.
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Affiliation(s)
- Kembra Albracht-Schulte
- Department of Nutritional Sciences and Obesity Research Institute, Texas Tech University, Lubbock, TX, USA
| | - Shanthini Rosairo
- Department of Radiology, University of Peradeniya, Peradeniya, Sri Lanka
| | - Latha Ramalingam
- Department of Nutritional Sciences and Obesity Research Institute, Texas Tech University, Lubbock, TX, USA
| | | | - RMCJ Ratnayake
- Department of Obstetrics and Gynecology, University of Peradeniya, Peradeniya, Sri Lanka
| | | | - John A Dawson
- Department of Nutritional Sciences and Obesity Research Institute, Texas Tech University, Lubbock, TX, USA
| | - Nishan S Kalupahana
- Department of Nutritional Sciences and Obesity Research Institute, Texas Tech University, Lubbock, TX, USA
- Department of Physiology, Faculty of Medicine, University of Peradeniya, Peradeniya, Sri Lanka
| | - Naima Moustaid-Moussa
- Department of Nutritional Sciences and Obesity Research Institute, Texas Tech University, Lubbock, TX, USA
- Correspondence: Naima Moustaid-MoussaDepartment of Nutritional Sciences, Obesity Research Institute, College of Human Sciences, Texas Tech University, 1301 Akron Street, Lubbock, TX79409-1270, USATel +1 806 834 7946Email
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20
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Abstract
Phospholipids are major constituents of biological membranes. The fatty acyl chain composition of phospholipids determines the biophysical properties of membranes and thereby affects their impact on biological processes. The composition of fatty acyl chains is also actively regulated through a deacylation and reacylation pathway called Lands' cycle. Recent studies of mouse genetic models have demonstrated that lysophosphatidylcholine acyltransferases (LPCATs), which catalyze the incorporation of fatty acyl chains into the sn-2 site of phosphatidylcholine, play important roles in pathophysiology. Two LPCAT family members, LPCAT1 and LPCAT3, have been particularly well studied. LPCAT1 is crucial for proper lung function due to its role in pulmonary surfactant biosynthesis. LPCAT3 maintains systemic lipid homeostasis by regulating lipid absorption in intestine, lipoprotein secretion, and de novo lipogenesis in liver. Mounting evidence also suggests that changes in LPCAT activity may be potentially involved in pathological conditions, including nonalcoholic fatty liver disease, atherosclerosis, viral infections, and cancer. Pharmacological manipulation of LPCAT activity and membrane phospholipid composition may provide new therapeutic options for these conditions.
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Affiliation(s)
- Bo Wang
- Department of Pathology and Laboratory Medicine, Molecular Biology Institute, David Geffen School of Medicine, University of California, Los Angeles, California 90272, USA;
| | - Peter Tontonoz
- Department of Pathology and Laboratory Medicine, Molecular Biology Institute, David Geffen School of Medicine, University of California, Los Angeles, California 90272, USA;
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21
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Heat shock protein 70 promotes lipogenesis in HepG2 cells. Lipids Health Dis 2018; 17:73. [PMID: 29631603 PMCID: PMC5891916 DOI: 10.1186/s12944-018-0722-8] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2017] [Accepted: 03/25/2018] [Indexed: 12/14/2022] Open
Abstract
Background The increasing prevalence of non-alcoholic fatty liver disease (NAFLD) has followed the international rise in obesity rates. Multiple mechanisms are involved in NAFLD, including endoplasmic reticulum stress and oxidative stress. Heat shock protein 70 (HSP70), which is abundant in most organisms, is sensitive to stress. However, the role of HSP70 in NAFLD has not been investigated. Here, we investigated the possible role of HSP70 in lipid synthesis. Methods C57BL/6 mice were fed a high-fat diet, and HepG2 cells were treated with 0.5 mM palmitic acid (PA). HSP70 expression was detected by qPCR, Western blot and immunohistochemistry. Total cholesterol (TC) and triglyceride (TG) levels were detected by enzyme-linked immunosorbent assay (ELISA). After Hsp70 overexpression and knockdown, TC and TG levels and FAS, SCD, and ACC expression were detected. Results HSP70 expression was significantly increased in the livers of obese mice. In vitro, HSP70 expression was markedly induced by PA in HepG2 cells. Notably, HSP70 overexpression in HepG2 cells enhanced TC and TG synthesis, in parallel with the upregulation of lipogenic genes, including FAS, SCD and ACC. By contrast, HSP70 knockdown decreased the levels of cellular lipids and the expression of FAS, SCD, and ACC in HepG2 cells. Together, our results suggest that HSP70 may promote lipogenesis in HepG2 cells. Conclusions Heat shock protein 70 promotes lipogenesis in HepG2 cells.
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22
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Gitto S, Schepis F, Andreone P, Villa E. Study of the Serum Metabolomic Profile in Nonalcoholic Fatty Liver Disease: Research and Clinical Perspectives. Metabolites 2018; 8:metabo8010017. [PMID: 29495258 PMCID: PMC5876006 DOI: 10.3390/metabo8010017] [Citation(s) in RCA: 31] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2018] [Revised: 02/19/2018] [Accepted: 02/22/2018] [Indexed: 12/14/2022] Open
Abstract
In recent years, metabolomics has attracted great scientific attention. The metabolomics methodology might permit a view into transitional phases between healthy liver and nonalcoholic steatohepatitis. Metabolomics can help to analyze the metabolic alterations that play a main role in the progression of nonalcoholic steatohepatitis. Lipid, glucose, amino acid, and bile acid metabolism should be widely studied to understand the complex pathogenesis of nonalcoholic steatohepatitis. The discovery of new biomarkers would be important for diagnosis and staging of liver disease as well as for the assessment of efficacy of new drugs. Here, we review the metabolomics data regarding nonalcoholic fatty liver disease and nonalcoholic steatohepatitis. We analyzed the main studies regarding the application of metabolomics methodology in the complex context of nonalcoholic steatohepatitis, trying to create a bridge from the basic to the clinical aspects.
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Affiliation(s)
- Stefano Gitto
- Department of Medical and Surgical Sciences, University of Bologna and Azienda Ospedaliero-Universitaria di Bologna, Policlinico Sant'Orsola-Malpighi, 40138 Bologna, Italy.
- Research Centre for the Study of Hepatitis, University of Bologna, 40138 Bologna, Italy.
| | - Filippo Schepis
- Department of Gastroenterology, Azienda Ospedaliero-Universitaria and University of Modena and Reggio Emilia, 41124 Modena, Italy.
| | - Pietro Andreone
- Department of Medical and Surgical Sciences, University of Bologna and Azienda Ospedaliero-Universitaria di Bologna, Policlinico Sant'Orsola-Malpighi, 40138 Bologna, Italy.
- Research Centre for the Study of Hepatitis, University of Bologna, 40138 Bologna, Italy.
| | - Erica Villa
- Department of Gastroenterology, Azienda Ospedaliero-Universitaria and University of Modena and Reggio Emilia, 41124 Modena, Italy.
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