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Ruan X, Zhang X, Liu L, Zhang J. Mechanism of Xiaoyao San in treating non-alcoholic fatty liver disease with liver depression and spleen deficiency: based on bioinformatics, metabolomics and in vivo experiments. J Biomol Struct Dyn 2024; 42:5128-5146. [PMID: 37440274 DOI: 10.1080/07391102.2023.2231544] [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: 01/20/2023] [Accepted: 06/08/2023] [Indexed: 07/14/2023]
Abstract
Xiaoyao san (XYS) plays an important role in treatment of non-alcoholic fatty liver disease (NAFLD) with liver stagnation and spleen deficiency, but its specific mechanism is still unclear. This study aimed to investigate the material basis and mechanism by means of network pharmacology, metabolomics, systems biology and molecular docking methods. On this basis, NAFLD rat model with liver stagnation and spleen deficiency was constructed and XYS was used to intervene, and liver histopathology, biochemical detection, enzyme-linked immunosorbent assay, quantitative PCR assay and western blotting were used to further verify the mechanism. Through the above research methods, network pharmacology study showed that there were 94 targets in total for XYS in the treatment of NAFLD. Metabolomics study showed that NAFLD with liver depression and spleen deficiency had a total of 73 differential metabolites. Systems biology found that PTGS2 and PPARG were the core targets; Quercetin, kaempferol, naringenin, beta-sitosterol and stigmasterol were the core active components; AA, cAMP were the core metabolites. And molecular docking showed that the core active components can act well on the key targets. Animal experiments showed that XYS could improve liver histopathology, increase 5HT and NA, decrease INS and FBG, improve blood lipids and liver function, decrease AA, increase cAMP, down-regulate PTGS2, up-regulate PPARG, and decrease PGE2 and 15d-PGJ2. In conclusion, XYS might treat NAFLD with liver depression and spleen deficiency by down-regulating PTGS2, up-regulating PPARG, reducing AA content, increasing cAMP, improving insulin resistance, affecting glucose and lipid metabolism, inhibiting oxidative stress and inflammatory response.Communicated by Ramaswamy H. Sarma.
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Affiliation(s)
- Xiaofeng Ruan
- School of Acupuncture - Moxibustion and Orthopedics, Hubei University of Chinese Medicine, Wuhan, China
| | - Xiaoming Zhang
- School of Acupuncture - Moxibustion and Orthopedics, Hubei University of Chinese Medicine, Wuhan, China
| | - Liming Liu
- School of Traditional Chinese Medicine, Hubei University of Chinese Medicine, Wuhan, China
- Department of Liver Medicine, Hubei No.3 People's Hospital of Jianghan University, Wuhan, China
| | - Jianjun Zhang
- School of Traditional Chinese Medicine, Hubei University of Chinese Medicine, Wuhan, China
- Department of Liver Medicine, Hubei No.3 People's Hospital of Jianghan University, Wuhan, China
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2
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Zhou F, Liu X, Chang C, Liu J, He S, Yan Y. Separating the effects of early and later life body mass index on liver diseases: A Mendelian randomization study. Clin Res Hepatol Gastroenterol 2024; 48:102352. [PMID: 38670486 DOI: 10.1016/j.clinre.2024.102352] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/30/2024] [Accepted: 04/24/2024] [Indexed: 04/28/2024]
Abstract
BACKGROUND AND AIM The independent effects of childhood and adult body mass index (BMI) on non-alcoholic fatty liver disease (NAFLD), cirrhosis, and hepatocellular carcinoma (HCC) are lacking assessment. We aimed to separate the effects of childhood and adult BMI on NAFLD, cirrhosis, and HCC. METHODS Genetic variants associated with childhood and adult BMI were selected as instrumental variables. Two-sample univariable and multivariable MR estimated the total and direct effect of childhood and adult BMI on NAFLD, cirrhosis, and HCC. RESULTS Genetically predicted each 1-SD increased childhood BMI (OR = 1.30, 95 % CI = 1.12 to 1.51, P = 0.001) and adult BMI (OR = 1.57 95 % CI = 1.33 to 1.84, P = 5.49E-08) was associated with an increased risk of NAFLD. The association between childhood BMI (OR = 0.97, 95 % CI = 0.77 to 1.24, P = 0.825) and NAFLD did not remain significant after adjusting for adult BMI (OR = 1.64, 95 % CI = 1.23 to 2.20, P = 0.001). The direct effects of childhood and adult BMI on cirrhosis and HCC were insignificant after considering their relationship. CONCLUSION Maintaining a normal BMI in adulthood significantly reduces the adverse effect of a higher childhood BMI on NAFLD. Further investigation is required to clarify the presence of this effect in cirrhosis and HCC.
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Affiliation(s)
- Feixiang Zhou
- Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha, Hunan, PR China
| | - Xia Liu
- Sixth Oil Production Plant, PetroChina Changqing Oilfield Company, Xian, Shaanxi, PR China
| | - Canyan Chang
- Fifth Oil Production Plant, PetroChina Changqing Oilfield Company, Xian, Shaanxi, PR China
| | - Jing Liu
- Twelfth Oil Production Plant, PetroChina Changqing Oilfield Company, Xian, Shaanxi, PR China
| | - Simin He
- Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha, Hunan, PR China
| | - Yan Yan
- Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha, Hunan, PR China.
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3
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Verschuren L, Mak AL, van Koppen A, Özsezen S, Difrancesco S, Caspers MPM, Snabel J, van der Meer D, van Dijk AM, Rashu EB, Nabilou P, Werge MP, van Son K, Kleemann R, Kiliaan AJ, Hazebroek EJ, Boonstra A, Brouwer WP, Doukas M, Gupta S, Kluft C, Nieuwdorp M, Verheij J, Gluud LL, Holleboom AG, Tushuizen ME, Hanemaaijer R. Development of a novel non-invasive biomarker panel for hepatic fibrosis in MASLD. Nat Commun 2024; 15:4564. [PMID: 38811591 PMCID: PMC11137090 DOI: 10.1038/s41467-024-48956-0] [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: 08/23/2023] [Accepted: 05/20/2024] [Indexed: 05/31/2024] Open
Abstract
Accurate non-invasive biomarkers to diagnose metabolic dysfunction-associated steatotic liver disease (MASLD)-related fibrosis are urgently needed. This study applies a translational approach to develop a blood-based biomarker panel for fibrosis detection in MASLD. A molecular gene expression signature identified from a diet-induced MASLD mouse model (LDLr-/-.Leiden) is translated into human blood-based biomarkers based on liver biopsy transcriptomic profiles and protein levels in MASLD patient serum samples. The resulting biomarker panel consists of IGFBP7, SSc5D and Sema4D. LightGBM modeling using this panel demonstrates high accuracy in predicting MASLD fibrosis stage (F0/F1: AUC = 0.82; F2: AUC = 0.89; F3/F4: AUC = 0.87), which is replicated in an independent validation cohort. The overall accuracy of the model outperforms predictions by the existing markers Fib-4, APRI and FibroScan. In conclusion, here we show a disease mechanism-related blood-based biomarker panel with three biomarkers which is able to identify MASLD patients with mild or advanced hepatic fibrosis with high accuracy.
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Affiliation(s)
| | - Anne Linde Mak
- Department of Vascular Medicine, Amsterdam University Medical Centers, Amsterdam, The Netherlands
| | | | | | | | | | | | | | - Anne-Marieke van Dijk
- Department of Vascular Medicine, Amsterdam University Medical Centers, Amsterdam, The Netherlands
| | - Elias Badal Rashu
- Gastro Unit, Copenhagen University Hospital Hvidovre, Hvidovre, Denmark and Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Puria Nabilou
- Gastro Unit, Copenhagen University Hospital Hvidovre, Hvidovre, Denmark and Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Mikkel Parsberg Werge
- Gastro Unit, Copenhagen University Hospital Hvidovre, Hvidovre, Denmark and Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Koen van Son
- Department of Vascular Medicine, Amsterdam University Medical Centers, Amsterdam, The Netherlands
| | | | - Amanda J Kiliaan
- Department of Medical Imaging, Anatomy, and Radboud Alzheimer Center, Radboud University Medical Center, Donders Institute for Brain, Cognition, and Behavior, Nijmegen, the Netherlands
| | - Eric J Hazebroek
- Department of Bariatric Surgery, Vitalys, Rijnstate Hospital, Arnhem, the Netherlands and Division of Human Nutrition and Health, Wageningen University, Wageningen, The Netherlands
| | - André Boonstra
- Department of Gastroenterology and Hepatology, Erasmus MC University Medical Center, Rotterdam, The Netherlands
| | - Willem P Brouwer
- Department of Gastroenterology and Hepatology, Erasmus MC University Medical Center, Rotterdam, The Netherlands
| | - Michail Doukas
- Department of Pathology, Erasmus MC Cancer Institute, Rotterdam, The Netherlands
| | - Saurabh Gupta
- Translational Medicine, Bristol Meyers Squibb, Princeton Pike, NJ, USA
| | | | - Max Nieuwdorp
- Department of Vascular Medicine, Amsterdam University Medical Centers, Amsterdam, The Netherlands
| | - Joanne Verheij
- Department of Pathology, Amsterdam University Medical Centers, Amsterdam, The Netherlands
| | - Lise Lotte Gluud
- Gastro Unit, Copenhagen University Hospital Hvidovre, Hvidovre, Denmark and Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Adriaan G Holleboom
- Department of Vascular Medicine, Amsterdam University Medical Centers, Amsterdam, The Netherlands
| | - Maarten E Tushuizen
- Department of Gastroenterology and Hepatology, Leiden University Medical Center, Leiden, The Netherlands
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4
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Jia S, Zhou J, Zhang Q, Zhou S, Wang Z, Ye X, Wu J. Clinical research of fibroscan ‒ TE-CAP at noninvasive diagnosis of hepatic steatosis in children. Clinics (Sao Paulo) 2024; 79:100387. [PMID: 38805982 PMCID: PMC11152890 DOI: 10.1016/j.clinsp.2024.100387] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/12/2024] [Accepted: 04/29/2024] [Indexed: 05/30/2024] Open
Abstract
BACKGROUND & AIMS The authors assess the diagnostic accuracy of the Transient Elastography-Controlled Attenuation Parameter (TE-CAP) in children of Southern China. METHODS 105 obese or overweight children and adolescents were enrolled in the diagnostic test of TE-CAP assessment of hepatic steatosis using MRI-PDFF. Hepatic steatosis grades S0-S3 were classified. Statistical correlation, agreement and consistency between methods were evaluated. The diagnostic efficiency of TE-CAP was evaluated. The authors used the cutoff value of TE-CAP to detect hepatic steatosis in another 356 children. RESULTS The Area Under Curve (AUC) of TE-CAP for grade ≥ S1, ≥ S2, and ≥ S3 steatosis were 0.975, 0.984, and 0.997, respectively. For detecting ≥ S1 steatosis, TE-CAP had a sensitivity of 96 % and a specificity of 97 %. For detecting ≥ S2 steatosis, TE-CAP had a sensitivity of 97 % and a specificity of 93 %. For detecting ≥ S3 steatosis, TE-CAP had a sensitivity of 1 and a specificity of 94 %. TE-CAP and MRI-PDFF had a linear correlation (r = 0. 0.87, p < 0.001). The hepatic steatosis was identified in 40.2 % (143/356) of children in which the obesity and overweight were 69.8 % (113/162) and 40.0 % (18/45). CONCLUSION TE-CAP showed excellent diagnostic accuracy in pediatric hepatic steatosis.
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Affiliation(s)
- Shuangzhen Jia
- Department of Gastroenterology, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing City, China
| | - Jianli Zhou
- Department of Gastroenterology, Shenzhen Children's Hospital, Shenzhen City, China
| | - Qiao Zhang
- Department of Gastroenterology, Shenzhen Children's Hospital, Shenzhen City, China
| | - Shaoming Zhou
- Department of Gastroenterology, Shenzhen Children's Hospital, Shenzhen City, China
| | - Zhaoxia Wang
- Department of Gastroenterology, Shenzhen Children's Hospital, Shenzhen City, China
| | - Xiaolin Ye
- Department of Gastroenterology, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing City, China
| | - Jie Wu
- Department of Gastroenterology, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing City, China.
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5
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Jones AK, Bajrami B, Campbell MK, Erzurumluoglu AM, Guo Q, Chen H, Zhang X, Zeveleva S, Kvaskoff D, Brunner AD, Muller S, Gathey V, Dave RM, Tanner JW, Rixen S, Struwe MA, Phoenix K, Klumph KJ, Robinson H, Veyel D, Muller A, Noyvert B, Bartholdy BA, Steixner-Kumar AA, Stutzki J, Drichel D, Omland S, Sheehan R, Hill J, Bretschneider T, Gottschling D, Scheidig AJ, Clement B, Giera M, Ding Z, Broadwater J, Warren CR. mARC1 in MASLD: Modulation of lipid accumulation in human hepatocytes and adipocytes. Hepatol Commun 2024; 8:e0365. [PMID: 38619429 PMCID: PMC11019821 DOI: 10.1097/hc9.0000000000000365] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/15/2023] [Accepted: 11/30/2023] [Indexed: 04/16/2024] Open
Abstract
BACKGROUND Mutations in the gene MTARC1 (mitochondrial amidoxime-reducing component 1) protect carriers from metabolic dysfunction-associated steatohepatitis (MASH) and cirrhosis. MTARC1 encodes the mARC1 enzyme, which is localized to the mitochondria and has no known MASH-relevant molecular function. Our studies aimed to expand on the published human genetic mARC1 data and to observe the molecular effects of mARC1 modulation in preclinical MASH models. METHODS AND RESULTS We identified a novel human structural variant deletion in MTARC1, which is associated with various biomarkers of liver health, including alanine aminotransferase levels. Phenome-wide Mendelian Randomization analyses additionally identified novel putatively causal associations between MTARC1 expression, and esophageal varices and cardiorespiratory traits. We observed that protective MTARC1 variants decreased protein accumulation in in vitro overexpression systems and used genetic tools to study mARC1 depletion in relevant human and mouse systems. Hepatocyte mARC1 knockdown in murine MASH models reduced body weight, liver steatosis, oxidative stress, cell death, and fibrogenesis markers. mARC1 siRNA treatment and overexpression modulated lipid accumulation and cell death consistently in primary human hepatocytes, hepatocyte cell lines, and primary human adipocytes. mARC1 depletion affected the accumulation of distinct lipid species and the expression of inflammatory and mitochondrial pathway genes/proteins in both in vitro and in vivo models. CONCLUSIONS Depleting hepatocyte mARC1 improved metabolic dysfunction-associated steatotic liver disease-related outcomes. Given the functional role of mARC1 in human adipocyte lipid accumulation, systemic targeting of mARC1 should be considered when designing mARC1 therapies. Our data point to plasma lipid biomarkers predictive of mARC1 abundance, such as Ceramide 22:1. We propose future areas of study to describe the precise molecular function of mARC1, including lipid trafficking and subcellular location within or around the mitochondria and endoplasmic reticulum.
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Affiliation(s)
- Amanda K. Jones
- Department of Cardiometabolic Disease Research, Boehringer Ingelheim Pharmaceuticals, Inc, Ridgefield, Connecticut, USA
| | - Besnik Bajrami
- Department of Drug Discovery Sciences, Discovery Science Technologies, Boehringer Ingelheim Pharma GmbH & Co., Biberach an der Riss, Germany
| | - Morgan K. Campbell
- Department of Cardiometabolic Disease Research, Boehringer Ingelheim Pharmaceuticals, Inc, Ridgefield, Connecticut, USA
| | - Abdullah Mesut Erzurumluoglu
- Department of Global Computational Biology and Digital Sciences, Boehringer Ingelheim Pharma GmbH & Co., Biberach an der Riss, Germany
| | - Qiusha Guo
- Department of Cardiometabolic Disease Research, Boehringer Ingelheim Pharmaceuticals, Inc, Ridgefield, Connecticut, USA
| | - Hongxing Chen
- Department of Cardiometabolic Disease Research, Boehringer Ingelheim Pharmaceuticals, Inc, Ridgefield, Connecticut, USA
| | - Xiaomei Zhang
- Department of Cardiometabolic Disease Research, Boehringer Ingelheim Pharmaceuticals, Inc, Ridgefield, Connecticut, USA
| | - Svetlana Zeveleva
- Department of Cardiometabolic Disease Research, Boehringer Ingelheim Pharmaceuticals, Inc, Ridgefield, Connecticut, USA
| | - David Kvaskoff
- Department of Drug Discovery Sciences, Discovery Science Technologies, Boehringer Ingelheim Pharma GmbH & Co., Biberach an der Riss, Germany
| | - Andreas-David Brunner
- Department of Drug Discovery Sciences, Discovery Science Technologies, Boehringer Ingelheim Pharma GmbH & Co., Biberach an der Riss, Germany
| | - Stefanie Muller
- Department of Global Computational Biology and Digital Sciences, Boehringer Ingelheim Pharma GmbH & Co., Biberach an der Riss, Germany
| | - Vasudha Gathey
- Department of Cardiometabolic Disease Research, Boehringer Ingelheim Pharmaceuticals, Inc, Ridgefield, Connecticut, USA
| | - Rajvee M. Dave
- Department of Cardiometabolic Disease Research, Boehringer Ingelheim Pharmaceuticals, Inc, Ridgefield, Connecticut, USA
| | - James W. Tanner
- Department of Cardiometabolic Disease Research, Boehringer Ingelheim Pharmaceuticals, Inc, Ridgefield, Connecticut, USA
| | - Sophia Rixen
- Department of Pharmacy, Pharmaceutical Institute, Christian Albrechts University, Kiel, Germany
| | - Michel A. Struwe
- Department of Pharmacy, Pharmaceutical Institute, Christian Albrechts University, Kiel, Germany
- Department of Biology, Institute of Zoology-Structural Biology, Christian Albrechts University, Kiel, Germany
| | - Kathryn Phoenix
- Department of Biotherapeutics Discovery, Boehringer Ingelheim Pharmaceuticals, Inc, Ridgefield, Connecticut, USA
| | - Kaitlyn J. Klumph
- Department of Cardiometabolic Disease Research, Boehringer Ingelheim Pharmaceuticals, Inc, Ridgefield, Connecticut, USA
| | - Heather Robinson
- Department of Cardiometabolic Disease Research, Boehringer Ingelheim Pharmaceuticals, Inc, Ridgefield, Connecticut, USA
| | - Daniel Veyel
- Department of Drug Discovery Sciences, Discovery Science Technologies, Boehringer Ingelheim Pharma GmbH & Co., Biberach an der Riss, Germany
| | - Annkatrin Muller
- Department of Drug Discovery Sciences, Discovery Science Technologies, Boehringer Ingelheim Pharma GmbH & Co., Biberach an der Riss, Germany
| | - Boris Noyvert
- Department of Global Computational Biology and Digital Sciences, Boehringer Ingelheim Pharma GmbH & Co., Biberach an der Riss, Germany
| | - Boris Alexander Bartholdy
- Department of Global Computational Biology and Digital Sciences, Boehringer Ingelheim Pharma GmbH & Co., Biberach an der Riss, Germany
| | - Agnes A. Steixner-Kumar
- Department of Global Computational Biology and Digital Sciences, Boehringer Ingelheim Pharma GmbH & Co., Biberach an der Riss, Germany
| | - Jan Stutzki
- Department of Global Computational Biology and Digital Sciences, Boehringer Ingelheim Pharma GmbH & Co., Biberach an der Riss, Germany
- Data Science Chapter, BI X GmbH, Ingelheim am Rhein, Germany
| | - Dmitriy Drichel
- Department of Global Computational Biology and Digital Sciences, Boehringer Ingelheim Pharma GmbH & Co., Biberach an der Riss, Germany
- Data Science Chapter, BI X GmbH, Ingelheim am Rhein, Germany
| | - Steffen Omland
- Department of Global Computational Biology and Digital Sciences, Boehringer Ingelheim Pharma GmbH & Co., Biberach an der Riss, Germany
- Data Science Chapter, BI X GmbH, Ingelheim am Rhein, Germany
| | - Ryan Sheehan
- Department of Immunology and Respiratory Disease Research, Boehringer Ingelheim Pharmaceuticals, Inc, Ridgefield, Connecticut, USA
| | - Jon Hill
- Department of Global Computational Biology and Digital Sciences, Boehringer Ingelheim Pharmaceuticals, Inc, Ridgefield, Connecticut, USA
| | - Tom Bretschneider
- Department of Drug Discovery Sciences, Discovery Science Technologies, Boehringer Ingelheim Pharma GmbH & Co., Biberach an der Riss, Germany
| | - Dirk Gottschling
- Department of Medicinal Chemistry, Boehringer Ingelheim Pharma GmbH & Co., Biberach an der Riss, Germany
| | - Axel J. Scheidig
- Department of Biology, Institute of Zoology-Structural Biology, Christian Albrechts University, Kiel, Germany
| | - Bernd Clement
- Department of Pharmacy, Pharmaceutical Institute, Christian Albrechts University, Kiel, Germany
| | - Martin Giera
- Department of Drug Discovery Sciences, Discovery Science Technologies, Boehringer Ingelheim Pharma GmbH & Co., Biberach an der Riss, Germany
- The Center for Proteomics and Metabolomics, Leiden University Medical Center, Leiden, the Netherlands
| | - Zhihao Ding
- Department of Global Computational Biology and Digital Sciences, Boehringer Ingelheim Pharma GmbH & Co., Biberach an der Riss, Germany
| | - John Broadwater
- Department of Cardiometabolic Disease Research, Boehringer Ingelheim Pharmaceuticals, Inc, Ridgefield, Connecticut, USA
| | - Curtis R. Warren
- Department of Cardiometabolic Disease Research, Boehringer Ingelheim Pharmaceuticals, Inc, Ridgefield, Connecticut, USA
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6
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Ghouse J, Sveinbjörnsson G, Vujkovic M, Seidelin AS, Gellert-Kristensen H, Ahlberg G, Tragante V, Rand SA, Brancale J, Vilarinho S, Lundegaard PR, Sørensen E, Erikstrup C, Bruun MT, Jensen BA, Brunak S, Banasik K, Ullum H, Verweij N, Lotta L, Baras A, Mirshahi T, Carey DJ, Kaplan DE, Lynch J, Morgan T, Schwantes-An TH, Dochtermann DR, Pyarajan S, Tsao PS, Laisk T, Mägi R, Kozlitina J, Tybjærg-Hansen A, Jones D, Knowlton KU, Nadauld L, Ferkingstad E, Björnsson ES, Ulfarsson MO, Sturluson Á, Sulem P, Pedersen OB, Ostrowski SR, Gudbjartsson DF, Stefansson K, Olesen MS, Chang KM, Holm H, Bundgaard H, Stender S. Integrative common and rare variant analyses provide insights into the genetic architecture of liver cirrhosis. Nat Genet 2024; 56:827-837. [PMID: 38632349 PMCID: PMC11096111 DOI: 10.1038/s41588-024-01720-y] [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: 06/23/2023] [Accepted: 03/18/2024] [Indexed: 04/19/2024]
Abstract
We report a multi-ancestry genome-wide association study on liver cirrhosis and its associated endophenotypes, alanine aminotransferase (ALT) and γ-glutamyl transferase. Using data from 12 cohorts, including 18,265 cases with cirrhosis, 1,782,047 controls, up to 1 million individuals with liver function tests and a validation cohort of 21,689 cases and 617,729 controls, we identify and validate 14 risk associations for cirrhosis. Many variants are located near genes involved in hepatic lipid metabolism. One of these, PNPLA3 p.Ile148Met, interacts with alcohol intake, obesity and diabetes on the risk of cirrhosis and hepatocellular carcinoma (HCC). We develop a polygenic risk score that associates with the progression from cirrhosis to HCC. By focusing on prioritized genes from common variant analyses, we find that rare coding variants in GPAM associate with lower ALT, supporting GPAM as a potential target for therapeutic inhibition. In conclusion, this study provides insights into the genetic underpinnings of cirrhosis.
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Affiliation(s)
- Jonas Ghouse
- Department of Cardiology, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark.
- Cardiac Genetics Group, Department of Biomedical Sciences, University of Copenhagen, Copenhagen, Denmark.
| | | | - Marijana Vujkovic
- Corporal Michael J. Crescenz VA Medical Center, Philadelphia, PA, USA
- Department of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
- Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Anne-Sofie Seidelin
- Department of Clinical Biochemistry, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark
| | - Helene Gellert-Kristensen
- Department of Clinical Biochemistry, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark
| | - Gustav Ahlberg
- Cardiac Genetics Group, Department of Biomedical Sciences, University of Copenhagen, Copenhagen, Denmark
| | | | - Søren A Rand
- Department of Cardiology, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark
- Cardiac Genetics Group, Department of Biomedical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Joseph Brancale
- Section of Digestive Diseases, Department of Internal Medicine, and Department of Pathology, Yale School of Medicine, New Haven, CT, USA
| | - Silvia Vilarinho
- Section of Digestive Diseases, Department of Internal Medicine, and Department of Pathology, Yale School of Medicine, New Haven, CT, USA
| | - Pia Rengtved Lundegaard
- Cardiac Genetics Group, Department of Biomedical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Erik Sørensen
- Department of Clinical Immunology, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark
| | - Christian Erikstrup
- Department of Clinical Immunology, Aarhus University Hospital, Aarhus, Denmark
| | - Mie Topholm Bruun
- Department of Clinical Immunology, Odense University Hospital, Odense, Denmark
| | | | - Søren Brunak
- Translational Disease Systems Biology, Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Karina Banasik
- Department of Obstetrics and Gynaecology, Copenhagen University Hospital Hvidovre, Copenhagen, Denmark
| | | | - Niek Verweij
- Regeneron Genetics Center, Regeneron Pharmaceuticals Inc, Tarrytown, NY, USA
| | - Luca Lotta
- Regeneron Genetics Center, Regeneron Pharmaceuticals Inc, Tarrytown, NY, USA
| | - Aris Baras
- Regeneron Genetics Center, Regeneron Pharmaceuticals Inc, Tarrytown, NY, USA
| | - Tooraj Mirshahi
- Department of Molecular and Functional Genomics, Geisinger Health System, Danville, PA, USA
| | - David J Carey
- Department of Molecular and Functional Genomics, Geisinger Health System, Danville, PA, USA
| | - David E Kaplan
- Corporal Michael J. Crescenz VA Medical Center, Philadelphia, PA, USA
- Department of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Julie Lynch
- VA Informatics and Computing Infrastructure (VINCI), VA Salt Lake City Health Care System, Salt Lake City, UT, USA
- Division of Epidemiology, Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City, UT, USA
| | - Timothy Morgan
- Gastroenterology Section, Veterans Affairs Long Beach Healthcare System, Long Beach, CA, USA
- Department of Medicine, University of California, Irvine, CA, USA
| | - Tae-Hwi Schwantes-An
- Gastroenterology Section, Veterans Affairs Long Beach Healthcare System, Long Beach, CA, USA
- Department of Medical and Molecular Genetics, Indiana University, Indianapolis, IN, USA
| | - Daniel R Dochtermann
- Center for Data and Computational Sciences, VA Boston Healthcare System, Boston, MA, USA
| | - Saiju Pyarajan
- Center for Data and Computational Sciences, VA Boston Healthcare System, Boston, MA, USA
- Department of Medicine, Brigham Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Philip S Tsao
- Palo Alto Epidemiology Research and Information Center for Genomics, VA Palo Alto, Palo Alto, CA, USA
- Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Triin Laisk
- Estonian Genome Centre, Institute of Genomics, University of Tartu, Tartu, Estonia
| | - Reedik Mägi
- Estonian Genome Centre, Institute of Genomics, University of Tartu, Tartu, Estonia
| | - Julia Kozlitina
- Eugene McDermott Center for Human Growth and Development, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Anne Tybjærg-Hansen
- Department of Clinical Biochemistry, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark
| | - David Jones
- Precision Genomics, Intermountain Healthcare, Saint George, UT, USA
| | - Kirk U Knowlton
- Intermountain Medical Center, Intermountain Heart Institute, Salt Lake City, UT, USA
- University of Utah, School of Medicine, Salt Lake City, UT, USA
| | - Lincoln Nadauld
- Precision Genomics, Intermountain Healthcare, Saint George, UT, USA
- Stanford University, School of Medicine, Stanford, CA, USA
| | | | - Einar S Björnsson
- Faculty of Medicine, University of Iceland, Reykjavik, Iceland
- Internal Medicine and Emergency Services, Landspitali-The National University Hospital of Iceland, Reykjavik, Iceland
| | - Magnus O Ulfarsson
- deCODE Genetics/Amgen, Reykjavik, Iceland
- Faculty of Electrical and Computer Engineering, University of Iceland, Reykjavik, Iceland
| | | | | | - Ole B Pedersen
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
- Department of Clinical Immunology, Zealand University Hospital, Køge, Denmark
| | - Sisse R Ostrowski
- Department of Clinical Immunology, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Daniel F Gudbjartsson
- deCODE Genetics/Amgen, Reykjavik, Iceland
- School of Engineering and Natural Sciences, University of Iceland, Reykjavik, Iceland
| | | | - Morten Salling Olesen
- Department of Cardiology, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark
- Cardiac Genetics Group, Department of Biomedical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Kyong-Mi Chang
- Corporal Michael J. Crescenz VA Medical Center, Philadelphia, PA, USA
- Department of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Hilma Holm
- deCODE Genetics/Amgen, Reykjavik, Iceland
| | - Henning Bundgaard
- Department of Cardiology, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Stefan Stender
- Department of Clinical Biochemistry, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark.
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark.
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7
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Guo Y, Gao Z, LaGory EL, Kristin LW, Gupte J, Gong Y, Rardin MJ, Liu T, Nguyen TT, Long J, Hsu YH, Murray JK, Lade J, Jackson S, Zhang J. Liver-specific mitochondrial amidoxime-reducing component 1 (Mtarc1) knockdown protects the liver from diet-induced MASH in multiple mouse models. Hepatol Commun 2024; 8:e0419. [PMID: 38696369 PMCID: PMC11068142 DOI: 10.1097/hc9.0000000000000419] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/22/2023] [Accepted: 01/26/2024] [Indexed: 05/04/2024] Open
Abstract
BACKGROUND Human genetic studies have identified several mitochondrial amidoxime-reducing component 1 (MTARC1) variants as protective against metabolic dysfunction-associated steatotic liver disease. The MTARC1 variants are associated with decreased plasma lipids and liver enzymes and reduced liver-related mortality. However, the role of mARC1 in fatty liver disease is still unclear. METHODS Given that mARC1 is mainly expressed in hepatocytes, we developed an N-acetylgalactosamine-conjugated mouse Mtarc1 siRNA, applying it in multiple in vivo models to investigate the role of mARC1 using multiomic techniques. RESULTS In ob/ob mice, knockdown of Mtarc1 in mouse hepatocytes resulted in decreased serum liver enzymes, LDL-cholesterol, and liver triglycerides. Reduction of mARC1 also reduced liver weight, improved lipid profiles, and attenuated liver pathological changes in 2 diet-induced metabolic dysfunction-associated steatohepatitis mouse models. A comprehensive analysis of mARC1-deficient liver from a metabolic dysfunction-associated steatohepatitis mouse model by metabolomics, proteomics, and lipidomics showed that Mtarc1 knockdown partially restored metabolites and lipids altered by diet. CONCLUSIONS Taken together, reducing mARC1 expression in hepatocytes protects against metabolic dysfunction-associated steatohepatitis in multiple murine models, suggesting a potential therapeutic approach for this chronic liver disease.
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Affiliation(s)
- Yuanjun Guo
- Research Biomarkers, Amgen Research, South San Francisco, California, USA
| | - Zhengyu Gao
- Cardiometabolic Disorders, Amgen Research, South San Francisco, California, USA
| | - Edward L. LaGory
- Pharmacokinetics and Drug Metabolism, Amgen Research, South San Francisco, California, USA
| | - Lewis Wilson Kristin
- Translational Safety and Bioanalytical Sciences, Amgen Research, South San Francisco, California, USA
| | - Jamila Gupte
- Cardiometabolic Disorders, Amgen Research, South San Francisco, California, USA
| | - Yan Gong
- Cardiometabolic Disorders, Amgen Research, South San Francisco, California, USA
| | - Matthew J. Rardin
- Discovery Technology Platforms, Amgen Research, South San Francisco, California, USA
| | - Tongyu Liu
- Center for Research Acceleration by Digital Innovation, Amgen Research, Cambridge, Massachusetts, USA
| | - Thong T. Nguyen
- Center for Research Acceleration by Digital Innovation, Amgen Research, Cambridge, Massachusetts, USA
| | - Jason Long
- RNA Therapeutics, Amgen Research, One Amgen Center Drive, Thousand Oaks, California, USA
| | - Yi-Hsiang Hsu
- Center for Research Acceleration by Digital Innovation, Amgen Research, Cambridge, Massachusetts, USA
| | - Justin K. Murray
- RNA Therapeutics, Amgen Research, One Amgen Center Drive, Thousand Oaks, California, USA
| | - Julie Lade
- Pharmacokinetics and Drug Metabolism, Amgen Research, South San Francisco, California, USA
| | - Simon Jackson
- Cardiometabolic Disorders, Amgen Research, South San Francisco, California, USA
| | - Jun Zhang
- Cardiometabolic Disorders, Amgen Research, South San Francisco, California, USA
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8
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Pérez Compte D, Etourneau L, Hesse AM, Kraut A, Barthelon J, Sturm N, Borges H, Biennier S, Courçon M, de Saint Loup M, Mignot V, Costentin C, Burger T, Couté Y, Bruley C, Decaens T, Jaquinod M, Boursier J, Brun V. Plasma ALS and Gal-3BP differentiate early from advanced liver fibrosis in MASLD patients. Biomark Res 2024; 12:44. [PMID: 38679739 PMCID: PMC11057169 DOI: 10.1186/s40364-024-00583-z] [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: 12/18/2023] [Accepted: 03/19/2024] [Indexed: 05/01/2024] Open
Abstract
BACKGROUND Metabolic dysfunction-associated steatotic liver disease (MASLD) is estimated to affect 30% of the world's population, and its prevalence is increasing in line with obesity. Liver fibrosis is closely related to mortality, making it the most important clinical parameter for MASLD. It is currently assessed by liver biopsy - an invasive procedure that has some limitations. There is thus an urgent need for a reliable non-invasive means to diagnose earlier MASLD stages. METHODS A discovery study was performed on 158 plasma samples from histologically-characterised MASLD patients using mass spectrometry (MS)-based quantitative proteomics. Differentially abundant proteins were selected for verification by ELISA in the same cohort. They were subsequently validated in an independent MASLD cohort (n = 200). RESULTS From the 72 proteins differentially abundant between patients with early (F0-2) and advanced fibrosis (F3-4), we selected Insulin-like growth factor-binding protein complex acid labile subunit (ALS) and Galectin-3-binding protein (Gal-3BP) for further study. In our validation cohort, AUROCs with 95% CIs of 0.744 [0.673 - 0.816] and 0.735 [0.661 - 0.81] were obtained for ALS and Gal-3BP, respectively. Combining ALS and Gal-3BP improved the assessment of advanced liver fibrosis, giving an AUROC of 0.796 [0.731. 0.862]. The {ALS; Gal-3BP} model surpassed classic fibrosis panels in predicting advanced liver fibrosis. CONCLUSIONS Further investigations with complementary cohorts will be needed to confirm the usefulness of ALS and Gal-3BP individually and in combination with other biomarkers for diagnosis of liver fibrosis. With the availability of ELISA assays, these findings could be rapidly clinically translated, providing direct benefits for patients.
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Affiliation(s)
- David Pérez Compte
- Univ. Grenoble Alpes, INSERM, CEA, UA13 BGE, CNRS, FR2048 ProFI, EDyP team, 17 Avenue des Martyrs, 38000, Grenoble, France
| | - Lucas Etourneau
- Univ. Grenoble Alpes, INSERM, CEA, UA13 BGE, CNRS, FR2048 ProFI, EDyP team, 17 Avenue des Martyrs, 38000, Grenoble, France
- Université Grenoble Alpes, CNRS, UMR 5525, VetAgro Sup, Grenoble INP, TIMC, 38000, Grenoble, France
| | - Anne-Marie Hesse
- Univ. Grenoble Alpes, INSERM, CEA, UA13 BGE, CNRS, FR2048 ProFI, EDyP team, 17 Avenue des Martyrs, 38000, Grenoble, France
| | - Alexandra Kraut
- Univ. Grenoble Alpes, INSERM, CEA, UA13 BGE, CNRS, FR2048 ProFI, EDyP team, 17 Avenue des Martyrs, 38000, Grenoble, France
| | - Justine Barthelon
- Université Grenoble Alpes, Clinique Universitaire d'Hépato-Gastroentérologie, CHU Grenoble Alpes, 38000, Grenoble, France
| | - Nathalie Sturm
- Université Grenoble Alpes, Clinique Universitaire d'Hépato-Gastroentérologie, CHU Grenoble Alpes, 38000, Grenoble, France
| | - Hélène Borges
- Univ. Grenoble Alpes, INSERM, CEA, UA13 BGE, CNRS, FR2048 ProFI, EDyP team, 17 Avenue des Martyrs, 38000, Grenoble, France
| | - Salomé Biennier
- Univ. Grenoble Alpes, INSERM, CEA, UA13 BGE, CNRS, FR2048 ProFI, EDyP team, 17 Avenue des Martyrs, 38000, Grenoble, France
| | - Marie Courçon
- Univ. Grenoble Alpes, INSERM, CEA, UA13 BGE, CNRS, FR2048 ProFI, EDyP team, 17 Avenue des Martyrs, 38000, Grenoble, France
| | - Marc de Saint Loup
- Hepato-Gastroenterology Department, University Hospital, Angers, France
- HIFIH Laboratory, UPRES 3859, SFR 4208, LUNAM University, Angers, France
| | - Victoria Mignot
- Université Grenoble Alpes, Clinique Universitaire d'Hépato-Gastroentérologie, CHU Grenoble Alpes, 38000, Grenoble, France
- Univ. Grenoble Alpes, Institute for Advanced Biosciences-INSERM U1209/ CNRS UMR 5309, Grenoble, France
| | - Charlotte Costentin
- Université Grenoble Alpes, Clinique Universitaire d'Hépato-Gastroentérologie, CHU Grenoble Alpes, 38000, Grenoble, France
- Univ. Grenoble Alpes, Institute for Advanced Biosciences-INSERM U1209/ CNRS UMR 5309, Grenoble, France
| | - Thomas Burger
- Univ. Grenoble Alpes, INSERM, CEA, UA13 BGE, CNRS, FR2048 ProFI, EDyP team, 17 Avenue des Martyrs, 38000, Grenoble, France
| | - Yohann Couté
- Univ. Grenoble Alpes, INSERM, CEA, UA13 BGE, CNRS, FR2048 ProFI, EDyP team, 17 Avenue des Martyrs, 38000, Grenoble, France
| | - Christophe Bruley
- Univ. Grenoble Alpes, INSERM, CEA, UA13 BGE, CNRS, FR2048 ProFI, EDyP team, 17 Avenue des Martyrs, 38000, Grenoble, France
| | - Thomas Decaens
- Université Grenoble Alpes, Clinique Universitaire d'Hépato-Gastroentérologie, CHU Grenoble Alpes, 38000, Grenoble, France
- Univ. Grenoble Alpes, Institute for Advanced Biosciences-INSERM U1209/ CNRS UMR 5309, Grenoble, France
| | - Michel Jaquinod
- Univ. Grenoble Alpes, INSERM, CEA, UA13 BGE, CNRS, FR2048 ProFI, EDyP team, 17 Avenue des Martyrs, 38000, Grenoble, France.
| | - Jérôme Boursier
- Hepato-Gastroenterology Department, University Hospital, Angers, France
- HIFIH Laboratory, UPRES 3859, SFR 4208, LUNAM University, Angers, France
| | - Virginie Brun
- Univ. Grenoble Alpes, INSERM, CEA, UA13 BGE, CNRS, FR2048 ProFI, EDyP team, 17 Avenue des Martyrs, 38000, Grenoble, France.
- Univ. Grenoble Alpes, CEA, Leti, 38000, Grenoble, France.
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9
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Moretti V, Romeo S, Valenti L. The contribution of genetics and epigenetics to MAFLD susceptibility. Hepatol Int 2024:10.1007/s12072-024-10667-5. [PMID: 38662298 DOI: 10.1007/s12072-024-10667-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/11/2024] [Accepted: 02/25/2024] [Indexed: 04/26/2024]
Abstract
Metabolic dysfunction-associated fatty liver disease (MAFLD) is the most common liver disease worldwide. The risk of developing MAFLD varies among individuals, due to a combination of environmental inherited and acquired genetic factors. Genome-wide association and next-generation sequencing studies are leading to the discovery of the common and rare genetic determinants of MAFLD. Thanks to the great advances in genomic technologies and bioinformatics analysis, genetic and epigenetic factors involved in the disease can be used to develop genetic risk scores specific for liver-related complications, which can improve risk stratification. Genetic and epigenetic factors lead to the identification of specific sub-phenotypes of MAFLD, and predict the individual response to a pharmacological therapy. Moreover, the variant transcripts and protein themselves represent new therapeutic targets. This review will discuss the current status of research into genetic as well as epigenetic modifiers of MAFLD development and progression.
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Affiliation(s)
- Vittoria Moretti
- Precision Medicine Lab, Biological Resource Center and Department of Transfusion Medicine, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico Milano, Via F Sforza 35, 20122, Milan, Italy
| | - Stefano Romeo
- Department of Molecular and Clinical Medicine, The Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Luca Valenti
- Precision Medicine Lab, Biological Resource Center and Department of Transfusion Medicine, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico Milano, Via F Sforza 35, 20122, Milan, Italy.
- Department of Pathophysiology and Transplantation, Università degli Studi di Milano, Milan, Italy.
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10
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Matchett KP, Paris J, Teichmann SA, Henderson NC. Spatial genomics: mapping human steatotic liver disease. Nat Rev Gastroenterol Hepatol 2024:10.1038/s41575-024-00915-2. [PMID: 38654090 DOI: 10.1038/s41575-024-00915-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 02/28/2024] [Indexed: 04/25/2024]
Abstract
Metabolic dysfunction-associated steatotic liver disease (MASLD, formerly known as non-alcoholic fatty liver disease) is a leading cause of chronic liver disease worldwide. MASLD can progress to metabolic dysfunction-associated steatohepatitis (MASH, formerly known as non-alcoholic steatohepatitis) with subsequent liver cirrhosis and hepatocellular carcinoma formation. The advent of current technologies such as single-cell and single-nuclei RNA sequencing have transformed our understanding of the liver in homeostasis and disease. The next frontier is contextualizing this single-cell information in its native spatial orientation. This understanding will markedly accelerate discovery science in hepatology, resulting in a further step-change in our knowledge of liver biology and pathobiology. In this Review, we discuss up-to-date knowledge of MASLD development and progression and how the burgeoning field of spatial genomics is driving exciting new developments in our understanding of human liver disease pathogenesis and therapeutic target identification.
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Affiliation(s)
- Kylie P Matchett
- Centre for Inflammation Research, Institute for Regeneration and Repair, Edinburgh BioQuarter, University of Edinburgh, Edinburgh, UK
| | - Jasmin Paris
- Centre for Inflammation Research, Institute for Regeneration and Repair, Edinburgh BioQuarter, University of Edinburgh, Edinburgh, UK
| | - Sarah A Teichmann
- Wellcome Sanger Institute, Cambridge, UK
- Department of Physics, Cavendish Laboratory, University of Cambridge, Cambridge, UK
| | - Neil C Henderson
- Centre for Inflammation Research, Institute for Regeneration and Repair, Edinburgh BioQuarter, University of Edinburgh, Edinburgh, UK.
- MRC Human Genetics Unit, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK.
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11
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Konkwo C, Chowdhury S, Vilarinho S. Genetics of liver disease in adults. Hepatol Commun 2024; 8:e0408. [PMID: 38551385 PMCID: PMC10984672 DOI: 10.1097/hc9.0000000000000408] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/12/2023] [Accepted: 01/30/2024] [Indexed: 04/02/2024] Open
Abstract
Chronic liver disease stands as a significant global health problem with an estimated 2 million annual deaths across the globe. Combining the use of next-generation sequencing technologies with evolving knowledge in the interpretation of genetic variation across the human genome is propelling our understanding, diagnosis, and management of both rare and common liver diseases. Here, we review the contribution of risk and protective alleles to common forms of liver disease, the rising number of monogenic diseases affecting the liver, and the role of somatic genetic variants in the onset and progression of oncological and non-oncological liver diseases. The incorporation of genomic information in the diagnosis and management of patients with liver disease is driving the beginning of a new era of genomics-informed clinical hepatology practice, facilitating personalized medicine, and improving patient care.
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Affiliation(s)
- Chigoziri Konkwo
- Department of Internal Medicine, Section of Digestive Diseases, Yale School of Medicine, New Haven, Connecticut, USA
| | - Shanin Chowdhury
- Department of Internal Medicine, Section of Digestive Diseases, Yale School of Medicine, New Haven, Connecticut, USA
- Department of Pathology, Yale School of Medicine, New Haven, Connecticut, USA
| | - Silvia Vilarinho
- Department of Internal Medicine, Section of Digestive Diseases, Yale School of Medicine, New Haven, Connecticut, USA
- Department of Pathology, Yale School of Medicine, New Haven, Connecticut, USA
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12
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Goldberg DT, Yaskolka Meir A, Tsaban G, Rinott E, Kaplan A, Zelicha H, Klöting N, Ceglarek U, Iserman B, Shelef I, Rosen P, Blüher M, Stumvoll M, Etzion O, Stampfer MJ, Hu FB, Shai I. Novel proteomic signatures may indicate MRI-assessed intrahepatic fat state and changes: The DIRECT PLUS clinical trial. Hepatology 2024:01515467-990000000-00821. [PMID: 38537153 DOI: 10.1097/hep.0000000000000867] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/21/2023] [Accepted: 03/03/2024] [Indexed: 05/08/2024]
Abstract
BACKGROUND AND AIMS We demonstrated in the randomized 18-month DIRECT PLUS trial (n = 294) that a Mediterranean (MED) diet, supplemented with polyphenol-rich Mankai duckweed, green tea, and walnuts and restricted in red/processed meat, caused substantial intrahepatic fat (IHF%) loss compared with 2 other healthy diets, reducing NAFLD by half, regardless of similar weight loss. Here, we investigated the baseline proteomic profile associated with IHF% and the changes in proteomics associated with IHF% changes induced by lifestyle intervention. APPROACH AND RESULTS We calculated IHF% by proton magnetic resonance spectroscopy (normal IHF% <5% and abnormal IHF% ≥5%). We assayed baseline and 18-month samples for 95 proteomic biomarkers.Participants (age = 51.3 ± 10.8 y; 89% men; and body mass index = 31.3 ± 3.9 kg/m 2 ) had an 89.8% 18-month retention rate; 83% had eligible follow-up proteomics measurements, and 78% had follow-up proton magnetic resonance spectroscopy. At baseline, 39 candidate proteins were significantly associated with IHF% (false discovery rate <0.05), mostly related to immune function pathways (eg, hydroxyacid oxidase 1). An IHF% prediction based on the DIRECT PLUS by combined model ( R2 = 0.47, root mean square error = 1.05) successfully predicted IHF% ( R2 = 0.53) during testing and was stronger than separately inputting proteins/traditional markers ( R2 = 0.43/0.44). The 18-month lifestyle intervention induced changes in 18 of the 39 candidate proteins, which were significantly associated with IHF% change, with proteins related to metabolism, extracellular matrix remodeling, and immune function pathways. Thrombospondin-2 protein change was higher in the green-MED compared to the MED group, beyond weight and IHF% loss ( p = 0.01). Protein principal component analysis revealed differences in the third principal component time distinct interactions across abnormal/normal IHF% trajectory combinations; p < 0.05 for all). CONCLUSIONS Our findings suggest novel proteomic signatures that may indicate MRI-assessed IHF state and changes during lifestyle intervention. Specifically, carbonic anhydrase 5A, hydroxyacid oxidase 1, and thrombospondin-2 protein changes are independently associated with IHF% change, and thrombospondin-2 protein change is greater in the green-MED/high polyphenols diet.
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Affiliation(s)
- Dana T Goldberg
- The Health & Nutrition Innovative International Research Center, Department of Epidemiology, Biostatistics and Community Health Sciences, Faculty of Health Sciences, School of Public Health, Ben-Gurion University of the Negev, Beer-Sheva, Israel
| | - Anat Yaskolka Meir
- The Health & Nutrition Innovative International Research Center, Department of Epidemiology, Biostatistics and Community Health Sciences, Faculty of Health Sciences, School of Public Health, Ben-Gurion University of the Negev, Beer-Sheva, Israel
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Gal Tsaban
- The Health & Nutrition Innovative International Research Center, Department of Epidemiology, Biostatistics and Community Health Sciences, Faculty of Health Sciences, School of Public Health, Ben-Gurion University of the Negev, Beer-Sheva, Israel
| | - Ehud Rinott
- The Health & Nutrition Innovative International Research Center, Department of Epidemiology, Biostatistics and Community Health Sciences, Faculty of Health Sciences, School of Public Health, Ben-Gurion University of the Negev, Beer-Sheva, Israel
| | - Alon Kaplan
- The Health & Nutrition Innovative International Research Center, Department of Epidemiology, Biostatistics and Community Health Sciences, Faculty of Health Sciences, School of Public Health, Ben-Gurion University of the Negev, Beer-Sheva, Israel
| | - Hila Zelicha
- The Health & Nutrition Innovative International Research Center, Department of Epidemiology, Biostatistics and Community Health Sciences, Faculty of Health Sciences, School of Public Health, Ben-Gurion University of the Negev, Beer-Sheva, Israel
| | - Nora Klöting
- Department of Medicine, University of Leipzig, Leipzig, Germany
| | - Uta Ceglarek
- Department of Medicine, University of Leipzig, Leipzig, Germany
- Institute of Laboratory Medicine, Clinical Chemistry, and Molecular Diagnostics, University of Leipzig Medical Center, Leipzig, Germany
| | - Berend Iserman
- Department of Medicine, University of Leipzig, Leipzig, Germany
- Institute of Laboratory Medicine, Clinical Chemistry, and Molecular Diagnostics, University of Leipzig Medical Center, Leipzig, Germany
| | - Ilan Shelef
- Department of Diagnostic Imaging, Soroka University Medical Center, Ben-Gurion University of the Negev, Beer-Sheva, Israel
| | - Philip Rosen
- Department of Diagnostic Imaging, Soroka University Medical Center, Ben-Gurion University of the Negev, Beer-Sheva, Israel
| | - Matthias Blüher
- Department of Medicine, University of Leipzig, Leipzig, Germany
- Helmholtz Institute for Metabolic, Obesity and Vascular Research (HI-MAG) of the Helmholtz Zentrum München at the University of Leipzig and University Hospital Leipzig, Leipzig, Germany
| | - Michael Stumvoll
- Department of Medicine, University of Leipzig, Leipzig, Germany
- Helmholtz Institute for Metabolic, Obesity and Vascular Research (HI-MAG) of the Helmholtz Zentrum München at the University of Leipzig and University Hospital Leipzig, Leipzig, Germany
| | - Ohad Etzion
- Department of Gastroenterology and Liver Diseases, Soroka University Medical Center, Beersheba, Israel
| | - Meir J Stampfer
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Medicine, Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Frank B Hu
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Medicine, Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Iris Shai
- The Health & Nutrition Innovative International Research Center, Department of Epidemiology, Biostatistics and Community Health Sciences, Faculty of Health Sciences, School of Public Health, Ben-Gurion University of the Negev, Beer-Sheva, Israel
- Department of Medicine, University of Leipzig, Leipzig, Germany
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
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13
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Smagris E, Shihanian LM, Mintah IJ, Bigdelou P, Livson Y, Brown H, Verweij N, Hunt C, Johnson RO, Greer TJ, Hartford SA, Hindy G, Sun L, Nielsen JB, Halasz G, Lotta LA, Murphy AJ, Sleeman MW, Gusarova V. Divergent role of Mitochondrial Amidoxime Reducing Component 1 (MARC1) in human and mouse. PLoS Genet 2024; 20:e1011179. [PMID: 38437227 PMCID: PMC10939284 DOI: 10.1371/journal.pgen.1011179] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2023] [Revised: 03/14/2024] [Accepted: 02/09/2024] [Indexed: 03/06/2024] Open
Abstract
Recent human genome-wide association studies have identified common missense variants in MARC1, p.Ala165Thr and p.Met187Lys, associated with lower hepatic fat, reduction in liver enzymes and protection from most causes of cirrhosis. Using an exome-wide association study we recapitulated earlier MARC1 p.Ala165Thr and p.Met187Lys findings in 540,000 individuals from five ancestry groups. We also discovered novel rare putative loss of function variants in MARC1 with a phenotype similar to MARC1 p.Ala165Thr/p.Met187Lys variants. In vitro studies of recombinant human MARC1 protein revealed Ala165Thr substitution causes protein instability and aberrant localization in hepatic cells, suggesting MARC1 inhibition or deletion may lead to hepatoprotection. Following this hypothesis, we generated Marc1 knockout mice and evaluated the effect of Marc1 deletion on liver phenotype. Unexpectedly, our study found that whole-body Marc1 deficiency in mouse is not protective against hepatic triglyceride accumulation, liver inflammation or fibrosis. In attempts to explain the lack of the observed phenotype, we discovered that Marc1 plays only a minor role in mouse liver while its paralogue Marc2 is the main Marc family enzyme in mice. Our findings highlight the major difference in MARC1 physiological function between human and mouse.
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Affiliation(s)
- Eriks Smagris
- Regeneron Pharmaceuticals, Tarrytown, New York, Unites States of America
| | - Lisa M Shihanian
- Regeneron Pharmaceuticals, Tarrytown, New York, Unites States of America
| | - Ivory J Mintah
- Regeneron Pharmaceuticals, Tarrytown, New York, Unites States of America
| | - Parnian Bigdelou
- Regeneron Pharmaceuticals, Tarrytown, New York, Unites States of America
| | - Yuliya Livson
- Regeneron Pharmaceuticals, Tarrytown, New York, Unites States of America
| | - Heather Brown
- Regeneron Pharmaceuticals, Tarrytown, New York, Unites States of America
| | - Niek Verweij
- Regeneron Pharmaceuticals, Tarrytown, New York, Unites States of America
| | - Charleen Hunt
- Regeneron Pharmaceuticals, Tarrytown, New York, Unites States of America
| | | | - Tyler J Greer
- Regeneron Pharmaceuticals, Tarrytown, New York, Unites States of America
| | - Suzanne A Hartford
- Regeneron Pharmaceuticals, Tarrytown, New York, Unites States of America
| | - George Hindy
- Regeneron Pharmaceuticals, Tarrytown, New York, Unites States of America
| | - Luanluan Sun
- Regeneron Pharmaceuticals, Tarrytown, New York, Unites States of America
| | - Jonas B Nielsen
- Regeneron Pharmaceuticals, Tarrytown, New York, Unites States of America
| | - Gabor Halasz
- Regeneron Pharmaceuticals, Tarrytown, New York, Unites States of America
| | - Luca A Lotta
- Regeneron Pharmaceuticals, Tarrytown, New York, Unites States of America
| | - Andrew J Murphy
- Regeneron Pharmaceuticals, Tarrytown, New York, Unites States of America
| | - Mark W Sleeman
- Regeneron Pharmaceuticals, Tarrytown, New York, Unites States of America
| | - Viktoria Gusarova
- Regeneron Pharmaceuticals, Tarrytown, New York, Unites States of America
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14
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Adesanya O, Das D, Kalsotra A. Emerging roles of RNA-binding proteins in fatty liver disease. WILEY INTERDISCIPLINARY REVIEWS. RNA 2024; 15:e1840. [PMID: 38613185 PMCID: PMC11018357 DOI: 10.1002/wrna.1840] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/29/2023] [Revised: 02/08/2024] [Accepted: 03/05/2024] [Indexed: 04/14/2024]
Abstract
A rampant and urgent global health issue of the 21st century is the emergence and progression of fatty liver disease (FLD), including alcoholic fatty liver disease and the more heterogenous metabolism-associated (or non-alcoholic) fatty liver disease (MAFLD/NAFLD) phenotypes. These conditions manifest as disease spectra, progressing from benign hepatic steatosis to symptomatic steatohepatitis, cirrhosis, and, ultimately, hepatocellular carcinoma. With numerous intricately regulated molecular pathways implicated in its pathophysiology, recent data have emphasized the critical roles of RNA-binding proteins (RBPs) in the onset and development of FLD. They regulate gene transcription and post-transcriptional processes, including pre-mRNA splicing, capping, and polyadenylation, as well as mature mRNA transport, stability, and translation. RBP dysfunction at every point along the mRNA life cycle has been associated with altered lipid metabolism and cellular stress response, resulting in hepatic inflammation and fibrosis. Here, we discuss the current understanding of the role of RBPs in the post-transcriptional processes associated with FLD and highlight the possible and emerging therapeutic strategies leveraging RBP function for FLD treatment. This article is categorized under: RNA in Disease and Development > RNA in Disease.
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Affiliation(s)
| | - Diptatanu Das
- Department of Biochemistry, University of Illinois Urbana-Champaign, Urbana, IL, USA
| | - Auinash Kalsotra
- Department of Biochemistry, University of Illinois Urbana-Champaign, Urbana, IL, USA
- Cancer Center @ Illinois, University of Illinois Urbana-Champaign, Urbana, IL, USA
- Carl R. Woese Institute of Genomic Biology, University of Illinois Urbana-Champaign, Urbana, IL, USA
- Division of Nutritional Sciences, University of Illinois Urbana-Champaign, Urbana, IL, USA
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15
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Yang F, Zhou L, Shen Y, Wang X, Fan X, Yang L. Multi-omics approaches for drug-response characterization in primary biliary cholangitis and autoimmune hepatitis variant syndrome. J Transl Med 2024; 22:214. [PMID: 38424613 PMCID: PMC10902991 DOI: 10.1186/s12967-024-05029-6] [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: 10/18/2023] [Accepted: 02/24/2024] [Indexed: 03/02/2024] Open
Abstract
BACKGROUND Primary biliary cholangitis (PBC) and autoimmune hepatitis (AIH) variant syndrome (VS) exhibit a complex overlap of AIH features with PBC, leading to poorer prognoses than those with PBC or AIH alone. The biomarkers associated with drug response and potential molecular mechanisms in this syndrome have not been fully elucidated. METHODS Whole-transcriptome sequencing was employed to discern differentially expressed (DE) RNAs within good responders (GR) and poor responders (PR) among patients with PBC/AIH VS. Subsequent gene ontology (GO) analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis were conducted for the identified DE RNAs. Plasma metabolomics was employed to delineate the metabolic profiles distinguishing PR and GR groups. The quantification of immune cell profiles and associated cytokines was achieved through flow cytometry and immunoassay technology. Uni- and multivariable logistic regression analyses were conducted to construct a predictive model for insufficient biochemical response. The performance of the model was assessed by computing the area under the receiver operating characteristic (AUC) curve, sensitivity, and specificity. FINDINGS The analysis identified 224 differentially expressed (DE) mRNAs, 189 DE long non-coding RNAs, 39 DE circular RNAs, and 63 DE microRNAs. Functional pathway analysis revealed enrichment in lipid metabolic pathways and immune response. Metabolomics disclosed dysregulated lipid metabolism and identified PC (18:2/18:2) and PC (16:0/20:3) as predictors. CD4+ T helper (Th) cells, including Th2 cells and regulatory T cells (Tregs), were upregulated in the GR group. Pro-inflammatory cytokines (IFN-γ, TNF-α, IL-9, and IL-17) were downregulated in the GR group, while anti-inflammatory cytokines (IL-10, IL-4, IL-5, and IL-22) were elevated. Regulatory networks were constructed, identifying CACNA1H and ACAA1 as target genes. A predictive model based on these indicators demonstrated an AUC of 0.986 in the primary cohort and an AUC of 0.940 in the validation cohort for predicting complete biochemical response. CONCLUSION A combined model integrating genomic, metabolic, and cytokinomic features demonstrated high accuracy in predicting insufficient biochemical response in patients with PBC/AIH VS. Early recognition of individuals at elevated risk for insufficient response allows for the prompt initiation of additional treatments.
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Affiliation(s)
- Fan Yang
- Department of Gastroenterology and Hepatology and Sichuan University-University of Oxford Huaxi Joint Centre for Gastrointestinal Cancer, West China Hospital, Sichuan University, #37 Guoxue Road, Chengdu, 610041, Sichuan, China
| | - Leyu Zhou
- Department of Gastroenterology and Hepatology and Sichuan University-University of Oxford Huaxi Joint Centre for Gastrointestinal Cancer, West China Hospital, Sichuan University, #37 Guoxue Road, Chengdu, 610041, Sichuan, China
| | - Yi Shen
- Department of Gastroenterology and Hepatology and Sichuan University-University of Oxford Huaxi Joint Centre for Gastrointestinal Cancer, West China Hospital, Sichuan University, #37 Guoxue Road, Chengdu, 610041, Sichuan, China
| | - Xianglin Wang
- Department of Gastroenterology and Hepatology and Sichuan University-University of Oxford Huaxi Joint Centre for Gastrointestinal Cancer, West China Hospital, Sichuan University, #37 Guoxue Road, Chengdu, 610041, Sichuan, China
| | - Xiaoli Fan
- Department of Gastroenterology and Hepatology and Sichuan University-University of Oxford Huaxi Joint Centre for Gastrointestinal Cancer, West China Hospital, Sichuan University, #37 Guoxue Road, Chengdu, 610041, Sichuan, China.
| | - Li Yang
- Department of Gastroenterology and Hepatology and Sichuan University-University of Oxford Huaxi Joint Centre for Gastrointestinal Cancer, West China Hospital, Sichuan University, #37 Guoxue Road, Chengdu, 610041, Sichuan, China.
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16
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Fu L, Guldiken N, Remih K, Karl AS, Preisinger C, Strnad P. Serum/Plasma Proteome in Non-Malignant Liver Disease. Int J Mol Sci 2024; 25:2008. [PMID: 38396688 PMCID: PMC10889128 DOI: 10.3390/ijms25042008] [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: 12/22/2023] [Revised: 01/31/2024] [Accepted: 02/03/2024] [Indexed: 02/25/2024] Open
Abstract
The liver is the central metabolic organ and produces 85-90% of the proteins found in plasma. Accordingly, the plasma proteome is an attractive source of liver disease biomarkers that reflects the different cell types present in this organ, as well as the processes such as responses to acute and chronic injury or the formation of an extracellular matrix. In the first part, we summarize the biomarkers routinely used in clinical evaluations and their biological relevance in the different stages of non-malignant liver disease. Later, we describe the current proteomic approaches, including mass spectrometry and affinity-based techniques, that allow a more comprehensive assessment of the liver function but also require complex data processing. The many approaches of analysis and interpretation and their potential caveats are delineated. While these advances hold the promise to transform our understanding of liver diseases and support the development and validation of new liver-related drugs, an interdisciplinary collaboration is needed.
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Affiliation(s)
- Lei Fu
- Department of Internal Medicine III, Gastroenterology, Metabolic Diseases and Intensive Care, University Hospital RWTH Aachen, Pauwelsstraße 30, 52074 Aachen, Germany; (L.F.); (N.G.); (K.R.); (A.S.K.)
| | - Nurdan Guldiken
- Department of Internal Medicine III, Gastroenterology, Metabolic Diseases and Intensive Care, University Hospital RWTH Aachen, Pauwelsstraße 30, 52074 Aachen, Germany; (L.F.); (N.G.); (K.R.); (A.S.K.)
| | - Katharina Remih
- Department of Internal Medicine III, Gastroenterology, Metabolic Diseases and Intensive Care, University Hospital RWTH Aachen, Pauwelsstraße 30, 52074 Aachen, Germany; (L.F.); (N.G.); (K.R.); (A.S.K.)
| | - Anna Sophie Karl
- Department of Internal Medicine III, Gastroenterology, Metabolic Diseases and Intensive Care, University Hospital RWTH Aachen, Pauwelsstraße 30, 52074 Aachen, Germany; (L.F.); (N.G.); (K.R.); (A.S.K.)
| | - Christian Preisinger
- Proteomics Facility, Interdisciplinary Centre for Clinical Research (IZKF), Medical School, RWTH Aachen University, Pauwelsstraße 30, 52074 Aachen, Germany;
| | - Pavel Strnad
- Department of Internal Medicine III, Gastroenterology, Metabolic Diseases and Intensive Care, University Hospital RWTH Aachen, Pauwelsstraße 30, 52074 Aachen, Germany; (L.F.); (N.G.); (K.R.); (A.S.K.)
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17
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Wang Y, Zheng J, Long Y, Wu W, Zhu Y. Direct degradation and stabilization of proteins: New horizons in treatment of nonalcoholic steatohepatitis. Biochem Pharmacol 2024; 220:115989. [PMID: 38122854 DOI: 10.1016/j.bcp.2023.115989] [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: 11/14/2023] [Revised: 12/14/2023] [Accepted: 12/15/2023] [Indexed: 12/23/2023]
Abstract
Nonalcoholic fatty liver disease (NAFLD) is featured with excessive hepatic lipid accumulation and its global prevalence is soaring. Nonalcoholic steatohepatitis (NASH), the severe systemic inflammatory subtype of NAFLD, is tightly associated with metabolic comorbidities, and the hepatocytes manifest severe inflammation and ballooning. Currently the therapeutic options for treating NASH are limited. Potent small molecules specifically intervene with the signaling pathways that promote pathogenesis of NASH. Nevertheless they have obvious adverse effects and show long-term ineffectiveness in clinical trials. It poses the fundamental question to efficiently and safely inhibit the pathogenic processes. Targeted protein degradation (TPD) belongs to the direct degradation strategies and is a burgeoning strategy. It utilizes the small molecules to bind to the target proteins and recruit the endogenous proteasome, lysosome and autophagosome-mediated degradation machineries. They effectively and specifically degrade the target proteins. It has exhibited promising therapeutic effects in treatment of cancer, neurodegenerative diseases and other diseases in a catalytic manner at low doses. We critically discuss the principles of multiple direct degradation strategies, especially PROTAC and ATTEC. We extensively analyze their emerging application in degradation of excessive pathogenic proteins and lipid droplets, which promote the progression of NASH. Moreover, we discuss the opposite strategy that utilizes the small molecules to recruit deubiquinases to stabilize the NASH/MASH-suppressing proteins. Their advantages, limitations, as well as the solutions to address the limitations have been analyzed. In summary, the innovative direct degradation strategies provide new insights into design of next-generation therapeutics to combat NASH with optimal safety paradigm and efficiency.
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Affiliation(s)
- Yibing Wang
- School of Kinesiology, Shanghai University of Sport, Shanghai 200438, PR China; Shanghai Frontiers Science Research Base of Exercise and Metabolic Health, PR China.
| | - Jianan Zheng
- School of Kinesiology, Shanghai University of Sport, Shanghai 200438, PR China
| | - Yun Long
- Department of Endocrinology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, Guangdong 510120, PR China
| | - Wenyi Wu
- School of Kinesiology, Shanghai University of Sport, Shanghai 200438, PR China
| | - Yutong Zhu
- School of Kinesiology, Shanghai University of Sport, Shanghai 200438, PR China
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18
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Eslam M, Méndez-Sánchez N, Zheng MH. Proteome profiling to advance management of metabolic dysfunction-associated fatty liver disease. Hepatobiliary Surg Nutr 2024; 13:147-149. [PMID: 38322223 PMCID: PMC10839721 DOI: 10.21037/hbsn-23-596] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/12/2023] [Accepted: 12/07/2023] [Indexed: 02/08/2024]
Affiliation(s)
- Mohammed Eslam
- Storr Liver Centre, Westmead Institute for Medical Research, Westmead Hospital and University of Sydney, Sydney, NSW, Australia
| | | | - Ming-Hua Zheng
- MAFLD Research Center, Department of Hepatology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
- Institute of Hepatology, Wenzhou Medical University, Wenzhou, China
- Key Laboratory of Diagnosis and Treatment for The Development of Chronic Liver Disease in Zhejiang Province, Wenzhou, China
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19
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Perry AS, Hadad N, Chatterjee E, Ramos MJ, Farber-Eger E, Roshani R, Stolze LK, Zhao S, Martens L, Kendall TJ, Thone T, Amancherla K, Bailin S, Gabriel CL, Koethe J, Carr JJ, Terry JG, Freedman J, Tanriverdi K, Alsop E, Keuren-Jensen KV, Sauld JFK, Mahajan G, Khan S, Colangelo L, Nayor M, Fisher-Hoch S, McCormick J, North KE, Below J, Wells Q, Abel D, Kalhan R, Scott C, Guilliams M, Fallowfield JA, Banovich NE, Das S, Shah R. A prognostic molecular signature of hepatic steatosis is spatially heterogeneous and dynamic in human liver. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.01.26.24301828. [PMID: 38352394 PMCID: PMC10863022 DOI: 10.1101/2024.01.26.24301828] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/24/2024]
Abstract
Metabolic dysfunction-associated steatotic liver disease (MASLD) prevalence is increasing in parallel with an obesity pandemic, calling for novel strategies for prevention and treatment. We defined a circulating proteome of human MASLD across ≈7000 proteins in ≈5000 individuals from diverse, at-risk populations across the metabolic health spectrum, demonstrating reproducible diagnostic performance and specifying both known and novel metabolic pathways relevant to MASLD (central carbon and amino acid metabolism, hepatocyte regeneration, inflammation, fibrosis, insulin sensitivity). A parsimonious proteomic signature of MASLD was associated with a protection from MASLD and its related multi-system metabolic consequences in >26000 free-living individuals, with an additive effect to polygenic risk. The MASLD proteome was encoded by genes that demonstrated transcriptional enrichment in liver, with spatial transcriptional activity in areas of steatosis in human liver biopsy and dynamicity for select targets in human liver across stages of steatosis. We replicated several top relations from proteomics and spatial tissue transcriptomics in a humanized "liver-on-a-chip" model of MASLD, highlighting the power of a full translational approach to discovery in MASLD. Collectively, these results underscore utility of blood-based proteomics as a dynamic "liquid biopsy" of human liver relevant to clinical biomarker and mechanistic applications.
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20
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Sasidharan K, Caddeo A, Jamialahmadi O, Noto FR, Tomasi M, Malvestiti F, Ciociola E, Tavaglione F, Mancina RM, Cherubini A, Bianco C, Mirarchi A, Männistö V, Pihlajamäki J, Kärjä V, Grimaudo S, Luukkonen PK, Qadri S, Yki-Järvinen H, Petta S, Manfrini S, Vespasiani-Gentilucci U, Bruni V, Valenti L, Romeo S. IL32 downregulation lowers triglycerides and type I collagen in di-lineage human primary liver organoids. Cell Rep Med 2024; 5:101352. [PMID: 38232700 PMCID: PMC10829727 DOI: 10.1016/j.xcrm.2023.101352] [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: 10/13/2022] [Revised: 09/26/2023] [Accepted: 12/05/2023] [Indexed: 01/19/2024]
Abstract
Steatotic liver disease (SLD) prevails as the most common chronic liver disease yet lack approved treatments due to incomplete understanding of pathogenesis. Recently, elevated hepatic and circulating interleukin 32 (IL-32) levels were found in individuals with severe SLD. However, the mechanistic link between IL-32 and intracellular triglyceride metabolism remains to be elucidated. We demonstrate in vitro that incubation with IL-32β protein leads to an increase in intracellular triglyceride synthesis, while downregulation of IL32 by small interfering RNA leads to lower triglyceride synthesis and secretion in organoids from human primary hepatocytes. This reduction requires the upregulation of Phospholipase A2 group IIA (PLA2G2A). Furthermore, downregulation of IL32 results in lower intracellular type I collagen levels in di-lineage human primary hepatic organoids. Finally, we identify a genetic variant of IL32 (rs76580947) associated with lower circulating IL-32 and protection against SLD measured by non-invasive tests. These data suggest that IL32 downregulation may be beneficial against SLD.
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Affiliation(s)
- Kavitha Sasidharan
- Department of Molecular and Clinical Medicine, Institute of Medicine, The Sahlgrenska Academy, Wallenberg Laboratory, University of Gothenburg, Gothenburg, Sweden
| | - Andrea Caddeo
- Department of Molecular and Clinical Medicine, Institute of Medicine, The Sahlgrenska Academy, Wallenberg Laboratory, University of Gothenburg, Gothenburg, Sweden
| | - Oveis Jamialahmadi
- Department of Molecular and Clinical Medicine, Institute of Medicine, The Sahlgrenska Academy, Wallenberg Laboratory, University of Gothenburg, Gothenburg, Sweden
| | - Francesca Rita Noto
- Department of Molecular and Clinical Medicine, Institute of Medicine, The Sahlgrenska Academy, Wallenberg Laboratory, University of Gothenburg, Gothenburg, Sweden; Department of Medical and Surgical Sciences, University Magna Graecia, Catanzaro, Italy
| | - Melissa Tomasi
- Precision Medicine Lab, Biological Resource Center Unit, Department of Transfusion Medicine, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Francesco Malvestiti
- Precision Medicine Lab, Biological Resource Center Unit, Department of Transfusion Medicine, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy; Department of Pathophysiology and Transplantation, Università degli Studi di Milano, 20122 Milan, Italy
| | - Ester Ciociola
- Department of Molecular and Clinical Medicine, Institute of Medicine, The Sahlgrenska Academy, Wallenberg Laboratory, University of Gothenburg, Gothenburg, Sweden
| | - Federica Tavaglione
- Department of Molecular and Clinical Medicine, Institute of Medicine, The Sahlgrenska Academy, Wallenberg Laboratory, University of Gothenburg, Gothenburg, Sweden; Operative Unit of Clinical Medicine and Hepatology, Fondazione Policlinico Universitario Campus Bio-Medico, Rome, Italy; Research Unit of Clinical Medicine and Hepatology, Department of Medicine and Surgery, Università Campus Bio-Medico di Roma, Rome, Italy
| | - Rosellina M Mancina
- Department of Molecular and Clinical Medicine, Institute of Medicine, The Sahlgrenska Academy, Wallenberg Laboratory, University of Gothenburg, Gothenburg, Sweden; Research Unit of Clinical Medicine and Hepatology, Department of Medicine and Surgery, Università Campus Bio-Medico di Roma, Rome, Italy
| | - Alessandro Cherubini
- Precision Medicine Lab, Biological Resource Center Unit, Department of Transfusion Medicine, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Cristiana Bianco
- Precision Medicine Lab, Biological Resource Center Unit, Department of Transfusion Medicine, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Angela Mirarchi
- Department of Medical and Surgical Sciences, University Magna Graecia, Catanzaro, Italy
| | - Ville Männistö
- Department of Medicine, University of Eastern Finland and Kuopio University Hospital, Kuopio, Finland
| | - Jussi Pihlajamäki
- Institute of Public Health and Clinical Nutrition, University of Eastern Finland, Kuopio, Finland; Clinical Nutrition and Obesity Centre, Kuopio University Hospital, Kuopio, Finland
| | - Vesa Kärjä
- Department of Pathology, University of Eastern Finland and Kuopio University Hospital, Kuopio, Finland
| | - Stefania Grimaudo
- Section of Gastroenterology and Hepatology, PROMISE, University of Palermo, Palermo, Italy
| | - Panu K Luukkonen
- Department of Medicine, University of Helsinki and Helsinki University Hospital, Helsinki, Finland; Minerva Foundation Institute for Medical Research, Helsinki, Finland; Department of Internal Medicine, Yale University, New Haven, CT, USA
| | - Sami Qadri
- Department of Medicine, University of Helsinki and Helsinki University Hospital, Helsinki, Finland; Minerva Foundation Institute for Medical Research, Helsinki, Finland
| | - Hannele Yki-Järvinen
- Department of Medicine, University of Helsinki and Helsinki University Hospital, Helsinki, Finland; Minerva Foundation Institute for Medical Research, Helsinki, Finland
| | - Salvatore Petta
- Section of Gastroenterology and Hepatology, PROMISE, University of Palermo, Palermo, Italy
| | - Silvia Manfrini
- Operative Unit of Endocrinology and Diabetes, Fondazione Policlinico Universitario Campus Bio-Medico, Rome, Italy; Research Unit of Endocrinology and Diabetes, Department of Medicine and Surgery, Università Campus Bio-Medico di Roma, Rome, Italy
| | - Umberto Vespasiani-Gentilucci
- Operative Unit of Clinical Medicine and Hepatology, Fondazione Policlinico Universitario Campus Bio-Medico, Rome, Italy; Research Unit of Clinical Medicine and Hepatology, Department of Medicine and Surgery, Università Campus Bio-Medico di Roma, Rome, Italy
| | - Vincenzo Bruni
- Operative Unit of Bariatric Surgery, Fondazione Policlinico Universitario Campus Bio-Medico, Rome, Italy
| | - Luca Valenti
- Precision Medicine Lab, Biological Resource Center Unit, Department of Transfusion Medicine, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy; Department of Pathophysiology and Transplantation, Università degli Studi di Milano, 20122 Milan, Italy.
| | - Stefano Romeo
- Department of Molecular and Clinical Medicine, Institute of Medicine, The Sahlgrenska Academy, Wallenberg Laboratory, University of Gothenburg, Gothenburg, Sweden; Department of Medical and Surgical Sciences, University Magna Graecia, Catanzaro, Italy; Department of Cardiology, Sahlgrenska University Hospital, Gothenburg, Sweden.
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21
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Taylor DP, Heale BSE, Chisum B, Christensen GB, Wilcox DF, Banks KM, Tripp JS, Liu T, Ruesch JB, Sheffield TJ, Breinholt JW, Harward JC, Hakoda EC, May T, Bonkowsky JL, Walton NA, McLeod HL, Nadauld LD, Ranade-Kharkar P. HerediGene Population Study IT infrastructure: A model to support genomic research recruitment and precision public health. AMIA ... ANNUAL SYMPOSIUM PROCEEDINGS. AMIA SYMPOSIUM 2024; 2023:689-698. [PMID: 38222332 PMCID: PMC10785925] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 01/16/2024]
Abstract
The HerediGene Population Study is a large research study focused on identifying new genetic biomarkers for disease prevention, diagnosis, prognosis, and development of new therapeutics. A substantial IT infrastructure evolved to reach enrollment targets and return results to participants. More than 170,000 participants have been enrolled in the study to date, with 5.87% of those whole genome sequenced and 0.46% of those genotyped harboring pathogenic variants. Among other purposes, this infrastructure supports: (1) identifying candidates from clinical criteria, (2) monitoring for qualifying clinical events (e.g., blood draw), (3) contacting candidates, (4) obtaining consent electronically, (5) initiating lab orders, (6) integrating consent and lab orders into clinical workflow, (7) de-identifying samples and clinical data, (8) shipping/transmitting samples and clinical data, (9) genotyping/sequencing samples, (10) and re-identifying and returning results for participants where applicable. This study may serve as a model for similar genomic research and precision public health initiatives.
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Affiliation(s)
| | | | | | | | | | | | | | - Teresa Liu
- Intermountain Health, Salt Lake City, UT
| | | | | | | | | | | | - Ted May
- Intermountain Health, Salt Lake City, UT
| | - Joshua L Bonkowsky
- Division of Pediatric Neurology, Department of Pediatrics, University of Utah School of Medicine, Salt Lake City, UT
- Center for Personalized Medicine, Primary Children's Hospital, Intermountain Health, Salt Lake City, UT
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Bossi E, Limo E, Pagani L, Monza N, Serrao S, Denti V, Astarita G, Paglia G. Revolutionizing Blood Collection: Innovations, Applications, and the Potential of Microsampling Technologies for Monitoring Metabolites and Lipids. Metabolites 2024; 14:46. [PMID: 38248849 PMCID: PMC10818866 DOI: 10.3390/metabo14010046] [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: 12/14/2023] [Revised: 01/03/2024] [Accepted: 01/09/2024] [Indexed: 01/23/2024] Open
Abstract
Blood serves as the primary global biological matrix for health surveillance, disease diagnosis, and response to drug treatment, holding significant promise for personalized medicine. The diverse array of lipids and metabolites in the blood provides a snapshot of both physiological and pathological processes, with many routinely monitored during conventional wellness checks. The conventional method involves intravenous blood collection, extracting a few milliliters via venipuncture, a technique limited to clinical settings due to its dependence on trained personnel. Microsampling methods have evolved to be less invasive (collecting ≤150 µL of capillary blood), user-friendly (enabling self-collection), and suitable for remote collection in longitudinal studies. Dried blood spot (DBS), a pioneering microsampling technique, dominates clinical and research domains. Recent advancements in device technology address critical limitations of classical DBS, specifically variations in hematocrit and volume. This review presents a comprehensive overview of state-of-the-art microsampling devices, emphasizing their applications and potential for monitoring metabolites and lipids in blood. The scope extends to diverse areas, encompassing population studies, nutritional investigations, drug discovery, sports medicine, and multi-omics research.
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Affiliation(s)
- Eleonora Bossi
- Department of Medicine and Surgery, Proteomics and Metabolomics Unit, University of Milano-Bicocca, 20854 Vedano al Lambro, Italy; (E.B.); (E.L.); (L.P.); (N.M.); (V.D.)
| | - Elena Limo
- Department of Medicine and Surgery, Proteomics and Metabolomics Unit, University of Milano-Bicocca, 20854 Vedano al Lambro, Italy; (E.B.); (E.L.); (L.P.); (N.M.); (V.D.)
| | - Lisa Pagani
- Department of Medicine and Surgery, Proteomics and Metabolomics Unit, University of Milano-Bicocca, 20854 Vedano al Lambro, Italy; (E.B.); (E.L.); (L.P.); (N.M.); (V.D.)
| | - Nicole Monza
- Department of Medicine and Surgery, Proteomics and Metabolomics Unit, University of Milano-Bicocca, 20854 Vedano al Lambro, Italy; (E.B.); (E.L.); (L.P.); (N.M.); (V.D.)
| | - Simone Serrao
- Department of Medicine and Surgery, Proteomics and Metabolomics Unit, University of Milano-Bicocca, 20854 Vedano al Lambro, Italy; (E.B.); (E.L.); (L.P.); (N.M.); (V.D.)
| | - Vanna Denti
- Department of Medicine and Surgery, Proteomics and Metabolomics Unit, University of Milano-Bicocca, 20854 Vedano al Lambro, Italy; (E.B.); (E.L.); (L.P.); (N.M.); (V.D.)
| | - Giuseppe Astarita
- Department of Biochemistry and Molecular & Cellular Biology, Georgetown University, Washington, DC 20057, USA;
| | - Giuseppe Paglia
- Department of Medicine and Surgery, Proteomics and Metabolomics Unit, University of Milano-Bicocca, 20854 Vedano al Lambro, Italy; (E.B.); (E.L.); (L.P.); (N.M.); (V.D.)
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23
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Liu K, Chen Y, Chen J, Chen W, Sun X, Mao Y, Ye D. Genetically determined circulating micronutrients and the risk of nonalcoholic fatty liver disease. Sci Rep 2024; 14:1105. [PMID: 38212362 PMCID: PMC10784479 DOI: 10.1038/s41598-024-51609-3] [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: 09/14/2023] [Accepted: 01/07/2024] [Indexed: 01/13/2024] Open
Abstract
Evidence from epidemiological literature on the association of circulating micronutrients with risk of nonalcoholic fatty liver disease (NAFLD) is inconsistent. We aimed to elucidate the causal relationships using Mendelian randomization (MR). Single-nucleotide polymorphisms associated with 14 circulating micronutrients (β-carotene, calcium, copper, folate, iron, magnesium, phosphorus, selenium, vitamin B6, B12, C, D, K1 and zinc) were employed as instrumental variables. Summary level data for NAFLD were obtained from a genome-wide association study (GWAS) meta-analysis of 8434 cases and 770,180 controls (discovery stage) and another two datasets including 1483 NAFLD cases and 17,781 controls (replication stage 1) and 2134 NAFLD cases and 33,433 controls (replication stage 2). Inverse variance-weighted method (IVW) was used as primary analysis, supplemented with a series of sensitivity analysis. Genetically predicted higher β‑carotene levels were suggestively associated with reduced NAFLD risk [odds ratio (OR) 0.81, 95% confidence interval (CI) 0.66-0.99; P = 0.047], whereas the association did not survive the false discovery rates (FDR) correction (PFDR = 0.164). Genetically predicted circulating iron (OR 1.16, 95% CI 1.05-1.29; P = 0.006, PFDR = 0.028), selenium (OR 1.11, 95% CI 1.03-1.20; P = 0.005, PFDR = 0.028) and vitamin B12 (OR 1.08, 95% CI 1.03-1.13; P = 0.002, PFDR = 0.028) were significantly associated with increased risk of NAFLD. Moreover, the findings were consistent in individual datasets (Pheterogeneity > 0.05) and confirmed in sensitivity analysis. Our study provided evidence that circulating iron, selenium and vitamin B12 might be causally linked to the risk of NAFLD, which deserves further exploration of the potential biological mechanism.
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Affiliation(s)
- Ke Liu
- School of Public Health, Zhejiang Chinese Medical University, 548 Binwen Road, Hangzhou, 310053, Zhejiang, China
| | - Ying Chen
- School of Public Health, Zhejiang Chinese Medical University, 548 Binwen Road, Hangzhou, 310053, Zhejiang, China
| | - Jiaxin Chen
- School of Public Health, Zhejiang Chinese Medical University, 548 Binwen Road, Hangzhou, 310053, Zhejiang, China
| | - Weiwei Chen
- School of Public Health, Zhejiang Chinese Medical University, 548 Binwen Road, Hangzhou, 310053, Zhejiang, China
| | - Xiaohui Sun
- School of Public Health, Zhejiang Chinese Medical University, 548 Binwen Road, Hangzhou, 310053, Zhejiang, China
| | - Yingying Mao
- School of Public Health, Zhejiang Chinese Medical University, 548 Binwen Road, Hangzhou, 310053, Zhejiang, China
| | - Ding Ye
- School of Public Health, Zhejiang Chinese Medical University, 548 Binwen Road, Hangzhou, 310053, Zhejiang, China.
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24
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Wu T, Chen X, Xu K, Dai C, Li X, Zhang YWQ, Li J, Gao M, Liu Y, Liu F, Zhang X, Wang B, Xia P, Li Z, Ma W, Yuan Y. LIM domain only 7 negatively controls nonalcoholic steatohepatitis in the setting of hyperlipidemia. Hepatology 2024; 79:149-166. [PMID: 37676481 PMCID: PMC10718224 DOI: 10.1097/hep.0000000000000585] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/14/2023] [Accepted: 07/19/2023] [Indexed: 09/08/2023]
Abstract
BACKGROUND AND AIMS Hyperlipidemia has been extensively recognized as a high-risk factor for NASH; however, clinical susceptibility to NASH is highly heterogeneous. The key controller(s) of NASH susceptibility in patients with hyperlipidemia has not yet been elucidated. Here, we aimed to reveal the key regulators of NASH in patients with hyperlipidemia and to explore its role and underlying mechanisms. APPROACH AND RESULTS To identify the predominant suppressors of NASH in the setting of hyperlipidemia, we collected liver biopsy samples from patients with hyperlipidemia, with or without NASH, and performed RNA-sequencing analysis. Notably, decreased Lineage specific Interacting Motif domain only 7 (LMO7) expression robustly correlated with the occurrence and severity of NASH. Although overexpression of LMO7 effectively blocked hepatic lipid accumulation and inflammation, LMO7 deficiency in hepatocytes greatly exacerbated diet-induced NASH progression. Mechanistically, lysine 48 (K48)-linked ubiquitin-mediated proteasomal degradation of tripartite motif-containing 47 (TRIM47) and subsequent inactivation of the c-Jun N-terminal kinase (JNK)/p38 mitogen-activated protein kinase (MAPK) cascade are required for the protective function of LMO7 in NASH. CONCLUSIONS These findings provide proof-of-concept evidence supporting LMO7 as a robust suppressor of NASH in the context of hyperlipidemia, indicating that targeting the LMO7-TRIM47 axis is a promising therapeutic strategy for NASH.
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Affiliation(s)
- Tiangen Wu
- Department of Hepatobiliary & Pancreatic Surgery, Zhongnan Hospital of Wuhan University, Wuhan, Hubei, PR China
- Clinical Medicine Research Center for Minimally Invasive Procedure of Hepatobiliary & Pancreatic Diseases of Hubei Province, Wuhan, Hubei, PR China
| | - Xi Chen
- Department of Hepatobiliary & Pancreatic Surgery, Zhongnan Hospital of Wuhan University, Wuhan, Hubei, PR China
- Clinical Medicine Research Center for Minimally Invasive Procedure of Hepatobiliary & Pancreatic Diseases of Hubei Province, Wuhan, Hubei, PR China
| | - Kequan Xu
- Department of Hepatobiliary & Pancreatic Surgery, Zhongnan Hospital of Wuhan University, Wuhan, Hubei, PR China
- Clinical Medicine Research Center for Minimally Invasive Procedure of Hepatobiliary & Pancreatic Diseases of Hubei Province, Wuhan, Hubei, PR China
| | - Caixia Dai
- Department of Hepatobiliary & Pancreatic Surgery, Zhongnan Hospital of Wuhan University, Wuhan, Hubei, PR China
- Clinical Medicine Research Center for Minimally Invasive Procedure of Hepatobiliary & Pancreatic Diseases of Hubei Province, Wuhan, Hubei, PR China
| | - Xiaomian Li
- Department of Hepatobiliary & Pancreatic Surgery, Zhongnan Hospital of Wuhan University, Wuhan, Hubei, PR China
- Clinical Medicine Research Center for Minimally Invasive Procedure of Hepatobiliary & Pancreatic Diseases of Hubei Province, Wuhan, Hubei, PR China
| | - Yang-Wen-Qing Zhang
- Department of Hepatobiliary & Pancreatic Surgery, Zhongnan Hospital of Wuhan University, Wuhan, Hubei, PR China
- Clinical Medicine Research Center for Minimally Invasive Procedure of Hepatobiliary & Pancreatic Diseases of Hubei Province, Wuhan, Hubei, PR China
| | - Jinghua Li
- Department of Hepatobiliary & Pancreatic Surgery, Zhongnan Hospital of Wuhan University, Wuhan, Hubei, PR China
- Clinical Medicine Research Center for Minimally Invasive Procedure of Hepatobiliary & Pancreatic Diseases of Hubei Province, Wuhan, Hubei, PR China
| | - Meng Gao
- Department of Hepatobiliary & Pancreatic Surgery, Zhongnan Hospital of Wuhan University, Wuhan, Hubei, PR China
- Clinical Medicine Research Center for Minimally Invasive Procedure of Hepatobiliary & Pancreatic Diseases of Hubei Province, Wuhan, Hubei, PR China
| | - Yingyi Liu
- Department of Hepatobiliary & Pancreatic Surgery, Zhongnan Hospital of Wuhan University, Wuhan, Hubei, PR China
- Clinical Medicine Research Center for Minimally Invasive Procedure of Hepatobiliary & Pancreatic Diseases of Hubei Province, Wuhan, Hubei, PR China
| | - Fusheng Liu
- Department of Hepatobiliary & Pancreatic Surgery, Zhongnan Hospital of Wuhan University, Wuhan, Hubei, PR China
- Clinical Medicine Research Center for Minimally Invasive Procedure of Hepatobiliary & Pancreatic Diseases of Hubei Province, Wuhan, Hubei, PR China
| | - Xutao Zhang
- Department of Cardiology, Renmin Hospital of Wuhan University, Wuhan, Hubei, PR China
| | - Bicheng Wang
- Department of Pathology, Zhongnan Hospital of Wuhan University, Wuhan, Hubei, PR China
| | - Peng Xia
- Department of Hepatobiliary & Pancreatic Surgery, Zhongnan Hospital of Wuhan University, Wuhan, Hubei, PR China
- Clinical Medicine Research Center for Minimally Invasive Procedure of Hepatobiliary & Pancreatic Diseases of Hubei Province, Wuhan, Hubei, PR China
| | - Zhen Li
- Department of Hepatobiliary & Pancreatic Surgery, Zhongnan Hospital of Wuhan University, Wuhan, Hubei, PR China
- Clinical Medicine Research Center for Minimally Invasive Procedure of Hepatobiliary & Pancreatic Diseases of Hubei Province, Wuhan, Hubei, PR China
| | - Weijie Ma
- Department of Hepatobiliary & Pancreatic Surgery, Zhongnan Hospital of Wuhan University, Wuhan, Hubei, PR China
- Clinical Medicine Research Center for Minimally Invasive Procedure of Hepatobiliary & Pancreatic Diseases of Hubei Province, Wuhan, Hubei, PR China
| | - Yufeng Yuan
- Department of Hepatobiliary & Pancreatic Surgery, Zhongnan Hospital of Wuhan University, Wuhan, Hubei, PR China
- Clinical Medicine Research Center for Minimally Invasive Procedure of Hepatobiliary & Pancreatic Diseases of Hubei Province, Wuhan, Hubei, PR China
- TaiKang Center for Life and Medical Sciences, Wuhan University, Wuhan 430071, PR China
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25
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Valenti LVC, Moretti V. Implications of the evolving knowledge of the genetic architecture of MASLD. Nat Rev Gastroenterol Hepatol 2024; 21:5-6. [PMID: 37923906 DOI: 10.1038/s41575-023-00866-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/06/2023]
Affiliation(s)
- Luca V C Valenti
- Department of Pathophysiology and Transplantation, Università degli Studi di Milano, Milan, Italy.
- Precision Medicine Lab, Biological Resource Center Unit and Transfusion Medicine, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy.
| | - Vittoria Moretti
- Precision Medicine Lab, Biological Resource Center Unit and Transfusion Medicine, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
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26
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Chotiprasidhi P, Sato-Espinoza AK, Wangensteen KJ. Germline Genetic Associations for Hepatobiliary Cancers. Cell Mol Gastroenterol Hepatol 2023; 17:623-638. [PMID: 38163482 PMCID: PMC10899027 DOI: 10.1016/j.jcmgh.2023.12.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/22/2023] [Revised: 12/19/2023] [Accepted: 12/20/2023] [Indexed: 01/03/2024]
Abstract
Hepatobiliary cancers (HBCs) include hepatocellular carcinoma, cholangiocarcinoma, and gallbladder carcinoma, which originate from the liver, bile ducts, and gallbladder, respectively. They are responsible for a substantial burden of cancer-related deaths worldwide. Despite knowledge of risk factors and advancements in therapeutics and surgical interventions, the prognosis for most patients with HBC remains bleak. There is evidence from familial aggregation and case-control studies to suggest a familial risk component in HBC susceptibility. Recent progress in genomics research has led to the identification of germline variants including single nucleotide polymorphisms (SNPs) and pathogenic or likely pathogenic (P/LP) variants in cancer-associated genes associated with HBC risk. These findings emerged from genome-wide association studies and next-generation sequencing techniques such as whole-exome sequencing. Patients with other cancer types, including breast, colon, ovarian, prostate, and pancreatic cancer, are recommended by guidelines to undergo germline genetic testing, but similar recommendations are lagging in HBC. This prompts the question of whether multi-gene panel testing should be integrated into clinical guidelines for HBC management. Here, we review the hereditary genetics of HBC, explore studies investigating SNPs and P/LP variants in HBC patients, discuss the clinical implications and potential for personalized treatments and impact on patient's family members, and conclude that additional studies are needed to examine how genetic testing can be applied clinically.
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Affiliation(s)
- Perapa Chotiprasidhi
- Division of Gastroenterology and Hepatology, Department of Medicine, Mayo Clinic, Rochester, Minnesota
| | | | - Kirk J Wangensteen
- Division of Gastroenterology and Hepatology, Department of Medicine, Mayo Clinic, Rochester, Minnesota.
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27
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Sakuma I, Gaspar RC, Luukkonen PK, Kahn M, Zhang D, Zhang X, Murray S, Golla JP, Vatner DF, Samuel VT, Petersen KF, Shulman GI. Lysophosphatidic acid triggers inflammation in the liver and white adipose tissue in rat models of 1-acyl-sn-glycerol-3-phosphate acyltransferase 2 deficiency and overnutrition. Proc Natl Acad Sci U S A 2023; 120:e2312666120. [PMID: 38127985 PMCID: PMC10756285 DOI: 10.1073/pnas.2312666120] [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: 07/27/2023] [Accepted: 11/10/2023] [Indexed: 12/23/2023] Open
Abstract
AGPAT2 (1-acyl-sn-glycerol-3-phosphate-acyltransferase-2) converts lysophosphatidic acid (LPA) into phosphatidic acid (PA), and mutations of the AGPAT2 gene cause the most common form of congenital generalized lipodystrophy which leads to steatohepatitis. The underlying mechanism by which AGPAT2 deficiency leads to lipodystrophy and steatohepatitis has not been elucidated. We addressed this question using an antisense oligonucleotide (ASO) to knockdown expression of Agpat2 in the liver and white adipose tissue (WAT) of adult male Sprague-Dawley rats. Agpat2 ASO treatment induced lipodystrophy and inflammation in WAT and the liver, which was associated with increased LPA content in both tissues, whereas PA content was unchanged. We found that a controlled-release mitochondrial protonophore (CRMP) prevented LPA accumulation and inflammation in WAT whereas an ASO against glycerol-3-phosphate acyltransferase, mitochondrial (Gpam) prevented LPA content and inflammation in the liver in Agpat2 ASO-treated rats. In addition, we show that overnutrition, due to high sucrose feeding, resulted in increased hepatic LPA content and increased activated macrophage content which were both abrogated with Gpam ASO treatment. Taken together, these data identify LPA as a key mediator of liver and WAT inflammation and lipodystrophy due to AGPAT2 deficiency as well as liver inflammation due to overnutrition and identify LPA as a potential therapeutic target to ameliorate these conditions.
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Affiliation(s)
- Ikki Sakuma
- Department of Internal Medicine, Yale School of Medicine, New Haven, CT06520
- Department of Molecular Diagnosis, Graduate School of Medicine Chiba University, Chiba260-8670, Japan
| | - Rafael C. Gaspar
- Department of Internal Medicine, Yale School of Medicine, New Haven, CT06520
| | - Panu K. Luukkonen
- Department of Internal Medicine, Yale School of Medicine, New Haven, CT06520
| | - Mario Kahn
- Department of Internal Medicine, Yale School of Medicine, New Haven, CT06520
| | - Dongyan Zhang
- Department of Internal Medicine, Yale School of Medicine, New Haven, CT06520
| | - Xuchen Zhang
- Department of Pathology, Yale School of Medicine, New Haven, CT06520
| | | | - Jaya Prakash Golla
- Department of Internal Medicine, Yale School of Medicine, New Haven, CT06520
| | - Daniel F. Vatner
- Department of Internal Medicine, Yale School of Medicine, New Haven, CT06520
| | - Varman T. Samuel
- Department of Internal Medicine, Yale School of Medicine, New Haven, CT06520
| | - Kitt Falk Petersen
- Department of Internal Medicine, Yale School of Medicine, New Haven, CT06520
| | - Gerald I. Shulman
- Department of Internal Medicine, Yale School of Medicine, New Haven, CT06520
- Department of Cellular and Molecular Physiology, Yale School of Medicine, New Haven, CT06520
- Howard Hughes Medical Institute, Chevy Chase, MD20815
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28
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Ferenc K, Jarmakiewicz-Czaja S, Filip R. What Does Sarcopenia Have to Do with Nonalcoholic Fatty Liver Disease? Life (Basel) 2023; 14:37. [PMID: 38255652 PMCID: PMC10820621 DOI: 10.3390/life14010037] [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: 11/02/2023] [Revised: 12/11/2023] [Accepted: 12/16/2023] [Indexed: 01/24/2024] Open
Abstract
Nonalcoholic fatty liver disease (NAFLD) is one of the most common causes of chronic liver disease. As the second stage of developing steatosis, nonalcoholic hepatitis (NASH) carries the risk of fibrosis, cirrhosis, and hepatocellular carcinoma. Sarcopenia is defined as a condition characterized by a decrease in muscle mass and functional decline. Both NAFLD and sarcopenia are global problems. The pathophysiological mechanisms that link the two entities of the disease are insulin resistance, inflammation, nutritional deficiencies, impairment of myostatin and adiponectin, or physical inactivity. Furthermore, disorders of the gut-liver axis appear to induce the process of developing NAFLD and sarcopenia. The correlations between NAFLD and sarcopenia appear to be bidirectional, so the main objective of the review was to determine the cause-and-effect relationship between the two diseases.
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Affiliation(s)
- Katarzyna Ferenc
- Institute of Medicine, Medical College of Rzeszow University, 35-959 Rzeszow, Poland;
| | | | - Rafał Filip
- Institute of Medicine, Medical College of Rzeszow University, 35-959 Rzeszow, Poland;
- Department of Gastroenterology with IBD Unit, Clinical Hospital No. 2, 35-301 Rzeszow, Poland
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29
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Stacey SN, Zink F, Halldorsson GH, Stefansdottir L, Gudjonsson SA, Einarsson G, Hjörleifsson G, Eiriksdottir T, Helgadottir A, Björnsdottir G, Thorgeirsson TE, Olafsdottir TA, Jonsdottir I, Gretarsdottir S, Tragante V, Magnusson MK, Jonsson H, Gudmundsson J, Olafsson S, Holm H, Gudbjartsson DF, Sulem P, Helgason A, Thorsteinsdottir U, Tryggvadottir L, Rafnar T, Melsted P, Ulfarsson MÖ, Vidarsson B, Thorleifsson G, Stefansson K. Genetics and epidemiology of mutational barcode-defined clonal hematopoiesis. Nat Genet 2023; 55:2149-2159. [PMID: 37932435 PMCID: PMC10703693 DOI: 10.1038/s41588-023-01555-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2023] [Accepted: 09/28/2023] [Indexed: 11/08/2023]
Abstract
Clonal hematopoiesis (CH) arises when a substantial proportion of mature blood cells is derived from a single hematopoietic stem cell lineage. Using whole-genome sequencing of 45,510 Icelandic and 130,709 UK Biobank participants combined with a mutational barcode method, we identified 16,306 people with CH. Prevalence approaches 50% in elderly participants. Smoking demonstrates a dosage-dependent impact on risk of CH. CH associates with several smoking-related diseases. Contrary to published claims, we find no evidence that CH is associated with cardiovascular disease. We provide evidence that CH is driven by genes that are commonly mutated in myeloid neoplasia and implicate several new driver genes. The presence and nature of a driver mutation alters the risk profile for hematological disorders. Nevertheless, most CH cases have no known driver mutations. A CH genome-wide association study identified 25 loci, including 19 not implicated previously in CH. Splicing, protein and expression quantitative trait loci were identified for CD164 and TCL1A.
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Affiliation(s)
| | | | - Gisli H Halldorsson
- deCODE genetics/Amgen Inc., Reykjavik, Iceland
- School of Engineering and Natural Sciences, University of Iceland, Reykjavik, Iceland
| | | | | | | | | | | | | | | | | | - Thorunn A Olafsdottir
- deCODE genetics/Amgen Inc., Reykjavik, Iceland
- Faculty of Medicine, School of Health Sciences, University of Iceland, Reykjavik, Iceland
| | - Ingileif Jonsdottir
- deCODE genetics/Amgen Inc., Reykjavik, Iceland
- Faculty of Medicine, School of Health Sciences, University of Iceland, Reykjavik, Iceland
- Department of Immunology, Landspitali University Hospital, Reykjavik, Iceland
| | | | | | - Magnus K Magnusson
- deCODE genetics/Amgen Inc., Reykjavik, Iceland
- Faculty of Medicine, School of Health Sciences, University of Iceland, Reykjavik, Iceland
| | | | | | | | - Hilma Holm
- deCODE genetics/Amgen Inc., Reykjavik, Iceland
| | - Daniel F Gudbjartsson
- deCODE genetics/Amgen Inc., Reykjavik, Iceland
- School of Engineering and Natural Sciences, University of Iceland, Reykjavik, Iceland
| | | | - Agnar Helgason
- deCODE genetics/Amgen Inc., Reykjavik, Iceland
- Department of Anthropology, University of Iceland, Reykjavik, Iceland
| | - Unnur Thorsteinsdottir
- deCODE genetics/Amgen Inc., Reykjavik, Iceland
- Faculty of Medicine, School of Health Sciences, University of Iceland, Reykjavik, Iceland
| | | | | | - Pall Melsted
- deCODE genetics/Amgen Inc., Reykjavik, Iceland
- School of Engineering and Natural Sciences, University of Iceland, Reykjavik, Iceland
| | - Magnus Ö Ulfarsson
- deCODE genetics/Amgen Inc., Reykjavik, Iceland
- School of Engineering and Natural Sciences, University of Iceland, Reykjavik, Iceland
| | - Brynjar Vidarsson
- Faculty of Medicine, School of Health Sciences, University of Iceland, Reykjavik, Iceland
- Department of Hematology, Landspitali University Hospital, Reykjavik, Iceland
| | | | - Kari Stefansson
- deCODE genetics/Amgen Inc., Reykjavik, Iceland.
- Faculty of Medicine, School of Health Sciences, University of Iceland, Reykjavik, Iceland.
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30
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Liu J, Hu S, Chen L, Daly C, Prada Medina CA, Richardson TG, Traylor M, Dempster NJ, Mbasu R, Monfeuga T, Vujkovic M, Tsao PS, Lynch JA, Voight BF, Chang KM, Million VA, Cobbold JF, Tomlinson JW, van Duijn CM, Howson JMM. Profiling the genome and proteome of metabolic dysfunction-associated steatotic liver disease identifies potential therapeutic targets. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.11.30.23299247. [PMID: 38076879 PMCID: PMC10705663 DOI: 10.1101/2023.11.30.23299247] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/21/2023]
Abstract
BACKGROUND & AIMS Metabolic dysfunction-associated steatotic liver disease (MASLD) affects over 25% of the population and currently has no effective treatments. Plasma proteins with causal evidence may represent promising drug targets. We aimed to identify plasma proteins in the causal pathway of MASLD and explore their interaction with obesity. METHODS We analysed 2,941 plasma proteins in 43,978 European participants from UK Biobank. We performed genome-wide association study (GWAS) for all MASLD-associated proteins and created the largest MASLD GWAS (109,885 cases/1,014,923 controls). We performed Mendelian Randomization (MR) and integrated proteins and their encoding genes in MASLD ranges to identify candidate causal proteins. We then validated them through independent replication, exome sequencing, liver imaging, bulk and single-cell gene expression, liver biopsies, pathway, and phenome-wide data. We explored the role of obesity by MR and multivariable MR across proteins, body mass index, and MASLD. RESULTS We found 929 proteins associated with MASLD, reported five novel genetic loci associated with MASLD, and identified 17 candidate MASLD protein targets. We identified four novel targets for MASLD (CD33, GRHPR, HMOX2, and SCG3), provided protein evidence supporting roles of AHCY, FCGR2B, ORM1, and RBKS in MASLD, and validated nine previously known targets. We found that CD33, FCGR2B, ORM1, RBKS, and SCG3 mediated the association of obesity and MASLD, and HMOX2, ORM1, and RBKS had effect on MASLD independent of obesity. CONCLUSIONS This study identified new protein targets in the causal pathway of MASLD, providing new insights into the multi-omics architecture and pathophysiology of MASLD. These findings advise further therapeutic interventions for MASLD.
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Affiliation(s)
- Jun Liu
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
- Genetics Centre-of-Excellence, Novo Nordisk Research Centre Oxford, Oxford, UK
| | - Sile Hu
- Genetics Centre-of-Excellence, Novo Nordisk Research Centre Oxford, Oxford, UK
| | - Lingyan Chen
- Genetics Centre-of-Excellence, Novo Nordisk Research Centre Oxford, Oxford, UK
| | - Charlotte Daly
- Department of Discovery Technology and Genomics, Novo Nordisk Research Centre Oxford, Oxford, UK
- Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Churchill Hospital, Oxford, UK
| | | | - Tom G Richardson
- Genetics Centre-of-Excellence, Novo Nordisk Research Centre Oxford, Oxford, UK
- MRC Integrative Epidemiology Unit (IEU), Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Matthew Traylor
- Genetics Centre-of-Excellence, Novo Nordisk Research Centre Oxford, Oxford, UK
| | - Niall J Dempster
- Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Churchill Hospital, Oxford, UK
| | - Richard Mbasu
- Department of Discovery Technology and Genomics, Novo Nordisk Research Centre Oxford, Oxford, UK
| | - Thomas Monfeuga
- AI & Digital Research, Research & Early Development, Novo Nordisk Research Centre Oxford, UK
| | - Marijana Vujkovic
- Corporal Michael J. Crescenz VA Medical Center, Philadelphia, PA, USA
- Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Philip S Tsao
- VA Palo Alto Health Care System, Palo Alto, CA, USA
- Department of Cardiovascular Medicine, School of Medicine, Stanford University, Stanford, CA, USA
| | - Julie A Lynch
- VA Informatics and Computing Infrastructure, VA Salt Lake City Health Care System, Salt Lake City, Utah, USA
- Department of Internal Medicine, School of Medicine, University of Utah, Salt Lake City, Utah, USA
| | - Benjamin F Voight
- Corporal Michael J. Crescenz VA Medical Center, Philadelphia, PA, USA
- Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Department of Systems Pharmacology and Translational Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Institute for Translational Medicine and Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Kyong-Mi Chang
- Corporal Michael J. Crescenz VA Medical Center, Philadelphia, PA, USA
- Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - V A Million
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
- Genetics Centre-of-Excellence, Novo Nordisk Research Centre Oxford, Oxford, UK
- Department of Discovery Technology and Genomics, Novo Nordisk Research Centre Oxford, Oxford, UK
- Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Churchill Hospital, Oxford, UK
- AI & Digital Research, Research & Early Development, Novo Nordisk Research Centre Oxford, UK
- MRC Integrative Epidemiology Unit (IEU), Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
- Corporal Michael J. Crescenz VA Medical Center, Philadelphia, PA, USA
- Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- VA Palo Alto Health Care System, Palo Alto, CA, USA
- Department of Cardiovascular Medicine, School of Medicine, Stanford University, Stanford, CA, USA
- VA Informatics and Computing Infrastructure, VA Salt Lake City Health Care System, Salt Lake City, Utah, USA
- Department of Internal Medicine, School of Medicine, University of Utah, Salt Lake City, Utah, USA
- Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Department of Systems Pharmacology and Translational Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Institute for Translational Medicine and Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- NIHR Oxford Biomedical Research Centre, Oxford University Hospitals NHS Foundation Trust and the University of Oxford, Oxford, UK
- Translational Gastroenterology Unit, University of Oxford, Oxford, UK
| | - Jeremy F Cobbold
- NIHR Oxford Biomedical Research Centre, Oxford University Hospitals NHS Foundation Trust and the University of Oxford, Oxford, UK
- Translational Gastroenterology Unit, University of Oxford, Oxford, UK
| | - Jeremy W Tomlinson
- Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Churchill Hospital, Oxford, UK
- NIHR Oxford Biomedical Research Centre, Oxford University Hospitals NHS Foundation Trust and the University of Oxford, Oxford, UK
| | | | - Joanna M M Howson
- Genetics Centre-of-Excellence, Novo Nordisk Research Centre Oxford, Oxford, UK
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31
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Sakuma I, Vatner DF. Fatty Acid Esterification as a NASH Therapeutic Target. Cell Mol Gastroenterol Hepatol 2023; 17:311-312. [PMID: 37984466 PMCID: PMC10829519 DOI: 10.1016/j.jcmgh.2023.10.011] [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: 10/20/2023] [Revised: 10/20/2023] [Accepted: 10/24/2023] [Indexed: 11/22/2023]
Affiliation(s)
- Ikki Sakuma
- Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut
| | - Daniel F Vatner
- Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut; Program in Translational Biomedicine, Yale School of Medicine, New Haven, Connecticut; Department of Medicine, Veterans Affairs Medical Center, West Haven, Connecticut.
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32
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Mujica E, den Hoed M. Investigating the role of lipid genes in liver disease using models of steatotic liver disease in zebrafish (Danio rerio). Liver Int 2023; 43:2348-2350. [PMID: 37846802 DOI: 10.1111/liv.15752] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/12/2023] [Revised: 09/14/2023] [Accepted: 09/15/2023] [Indexed: 10/18/2023]
Affiliation(s)
- Endrina Mujica
- The Beijer Laboratory and Department of Immunology, Genetics and Pathology, Uppsala University and SciLifeLab, Uppsala, Sweden
| | - Marcel den Hoed
- The Beijer Laboratory and Department of Immunology, Genetics and Pathology, Uppsala University and SciLifeLab, Uppsala, Sweden
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Elenbaas JS, Jung IH, Coler-Reilly A, Lee PC, Alisio A, Stitziel NO. The emerging Janus face of SVEP1 in development and disease. Trends Mol Med 2023; 29:939-950. [PMID: 37673700 PMCID: PMC10592172 DOI: 10.1016/j.molmed.2023.08.002] [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: 06/06/2023] [Revised: 08/03/2023] [Accepted: 08/07/2023] [Indexed: 09/08/2023]
Abstract
Sushi, von Willebrand factor type A, EGF, and pentraxin domain containing 1 (SVEP1) is a large extracellular matrix protein that is also detected in circulation. Recent plasma proteomic and genomic studies have revealed a large number of associations between SVEP1 and human traits, particularly chronic disease. These include associations with cardiac death and disease, diabetes, platelet traits, glaucoma, dementia, and aging; many of these are causal. Animal models demonstrate that SVEP1 is critical in vascular development and disease, but its molecular and cellular mechanisms remain poorly defined. Future studies should aim to characterize these mechanisms and determine the diagnostic, prognostic, and therapeutic value of measuring or intervening on this enigmatic protein.
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Affiliation(s)
- Jared S Elenbaas
- Center for Cardiovascular Research, Division of Cardiology, Department of Medicine, Washington University School of Medicine, Saint Louis, MO 63110, USA; Medical Scientist Training Program, Washington University School of Medicine, Saint Louis, MO 63110, USA
| | - In-Hyuk Jung
- Center for Cardiovascular Research, Division of Cardiology, Department of Medicine, Washington University School of Medicine, Saint Louis, MO 63110, USA
| | - Ariella Coler-Reilly
- Medical Scientist Training Program, Washington University School of Medicine, Saint Louis, MO 63110, USA; Division of Bone and Mineral Diseases, Department of Medicine, Washington University School of Medicine, Saint Louis, MO 63110, USA
| | - Paul C Lee
- Center for Cardiovascular Research, Division of Cardiology, Department of Medicine, Washington University School of Medicine, Saint Louis, MO 63110, USA; Medical Scientist Training Program, Washington University School of Medicine, Saint Louis, MO 63110, USA
| | - Arturo Alisio
- Center for Cardiovascular Research, Division of Cardiology, Department of Medicine, Washington University School of Medicine, Saint Louis, MO 63110, USA
| | - Nathan O Stitziel
- Center for Cardiovascular Research, Division of Cardiology, Department of Medicine, Washington University School of Medicine, Saint Louis, MO 63110, USA; McDonnell Genome Institute, Washington University School of Medicine, Saint Louis, MO 63108, USA; Department of Genetics, Washington University School of Medicine, Saint Louis, MO 63110, USA.
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Wang Y, Kong L, Ye C, Dou C, Zheng J, Xu M, Xu Y, Li M, Zhao Z, Lu J, Chen Y, Wang W, Ning G, Bi Y, Wang T. Causal impacts of educational attainment on chronic liver diseases and the mediating pathways: Mendelian randomization study. Liver Int 2023; 43:2379-2392. [PMID: 37409353 DOI: 10.1111/liv.15669] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/23/2023] [Revised: 06/15/2023] [Accepted: 06/23/2023] [Indexed: 07/07/2023]
Abstract
BACKGROUND AND AIMS Educational attainment is an essential socio-economic indicator with broad implications for lifestyle behaviour and metabolic health. We aimed to investigate the causal effect of education on chronic liver diseases and the potential mediating pathways. METHODS We applied univariable Mendelian randomization (MR) to assess the causal associations between educational attainment and non-alcoholic fatty liver disease (NAFLD) (cases/controls: 1578/307 576 in FinnGen; 1664/400 055 in UK Biobank), viral hepatitis (1772/307 382; 1215/403 316), hepatomegaly (199/222 728; 297/400 055), chronic hepatitis (699/301 014; 277/403 316), cirrhosis (1362/301 014; 114/400 055) and liver cancer (518/308 636; 344/393 372) using summary statistics of genome-wide association studies from the FinnGen Study and the UK Biobank, respectively. We used two-step MR to evaluate potential mediators and their mediation proportions in the association. RESULTS Meta-analysis of inverse variance weighted MR estimates from FinnGen and UK Biobank showed that genetically predicted 1-SD (4.2 years) higher education was causally associated with decreased risks of NAFLD (OR: 0.48; 95%CI: 0.37-0.62), viral hepatitis (0.54; 0.42-0.69) and chronic hepatitis (0.50; 0.32-0.79), but not hepatomegaly, cirrhosis and liver cancer. Nine, two and three out of 34 modifiable factors were identified as causal mediators in the associations of education with NAFLD, viral hepatitis and chronic hepatitis, respectively, including six adiposity traits (mediation proportion: 16.5%-32.0%), major depression (16.9%), two glucose metabolism-related traits (2.2%-15.8%) and two lipids (9.9%-12.1%). CONCLUSIONS Our findings supported the causal protective effects of education on chronic liver diseases and outlined mediating pathways to inform prevention and intervention strategies to reduce the burden of liver diseases, especially for individuals with lower education.
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Affiliation(s)
- Yiying Wang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Lijie Kong
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Chaojie Ye
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Chun Dou
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jie Zheng
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Min Xu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yu Xu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Mian Li
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Zhiyun Zhao
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jieli Lu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yuhong Chen
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Weiqing Wang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Guang Ning
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yufang Bi
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Tiange Wang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
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Struwe MA, Scheidig AJ, Clement B. The mitochondrial amidoxime reducing component-from prodrug-activation mechanism to drug-metabolizing enzyme and onward to drug target. J Biol Chem 2023; 299:105306. [PMID: 37778733 PMCID: PMC10637980 DOI: 10.1016/j.jbc.2023.105306] [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: 06/19/2023] [Revised: 09/17/2023] [Accepted: 09/24/2023] [Indexed: 10/03/2023] Open
Abstract
The mitochondrial amidoxime-reducing component (mARC) is one of five known molybdenum enzymes in eukaryotes. mARC belongs to the MOSC domain superfamily, a large group of so far poorly studied molybdoenzymes. mARC was initially discovered as the enzyme activating N-hydroxylated prodrugs of basic amidines but has since been shown to also reduce a variety of other N-oxygenated compounds, for example, toxic nucleobase analogs. Under certain circumstances, mARC might also be involved in reductive nitric oxide synthesis through reduction of nitrite. Recently, mARC enzymes have received a lot of attention due to their apparent involvement in lipid metabolism and, in particular, because many genome-wide association studies have shown a common variant of human mARC1 to have a protective effect against liver disease. The mechanism linking mARC enzymes with lipid metabolism remains unknown. Here, we give a comprehensive overview of what is currently known about mARC enzymes, their substrates, structure, and apparent involvement in human disease.
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Affiliation(s)
- Michel A Struwe
- Zoologisches Institut - Strukturbiologie, Christian-Albrechts-Universität Kiel, Kiel, Germany; Pharmazeutisches Institut, Christian-Albrechts-Universität Kiel, Kiel, Germany.
| | - Axel J Scheidig
- Zoologisches Institut - Strukturbiologie, Christian-Albrechts-Universität Kiel, Kiel, Germany
| | - Bernd Clement
- Pharmazeutisches Institut, Christian-Albrechts-Universität Kiel, Kiel, Germany
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Suzuki Y, Ménager H, Brancotte B, Vernet R, Nerin C, Boetto C, Auvergne A, Linhard C, Torchet R, Lechat P, Troubat L, Cho MH, Bouzigon E, Aschard H, Julienne H. Trait selection strategy in multi-trait GWAS: Boosting SNPs discoverability. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.10.27.564319. [PMID: 37961722 PMCID: PMC10634875 DOI: 10.1101/2023.10.27.564319] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/15/2023]
Abstract
Since the first Genome-Wide Association Studies (GWAS), thousands of variant-trait associations have been discovered. However, the sample size required to detect additional variants using standard univariate association screening is increasingly prohibitive. Multi-trait GWAS offers a relevant alternative: it can improve statistical power and lead to new insights about gene function and the joint genetic architecture of human phenotypes. Although many methodological hurdles of multi-trait testing have been discussed, the strategy to select trait, among overwhelming possibilities, has been overlooked. In this study, we conducted extensive multi-trait tests using JASS (Joint Analysis of Summary Statistics) and assessed which genetic features of the analysed sets were associated with an increased detection of variants as compared to univariate screening. Our analyses identified multiple factors associated with the gain in the association detection in multi-trait tests. Together, these factors of the analysed sets are predictive of the gain of the multi-trait test (Pearson's ρ equal to 0.43 between the observed and predicted gain, P < 1.6 × 10-60). Applying an alternative multi-trait approach (MTAG, multi-trait analysis of GWAS), we found that in most scenarios but particularly those with larger numbers of traits, JASS outperformed MTAG. Finally, we benchmark several strategies to select set of traits including the prevalent strategy of selecting clinically similar traits, which systematically underperformed selecting clinically heterogenous traits or selecting sets that issued from our data-driven models. This work provides a unique picture of the determinant of multi-trait GWAS statistical power and outline practical strategies for multi-trait testing.
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Affiliation(s)
- Yuka Suzuki
- Institut Pasteur, Université Paris Cité, Department of Computational Biology, Paris, 75015 France
| | - Hervé Ménager
- Institut Pasteur, Université Paris Cité, Bioinformatics of Biostatistics Hub, F-75015 Paris, France
| | - Bryan Brancotte
- Institut Pasteur, Université Paris Cité, Bioinformatics of Biostatistics Hub, F-75015 Paris, France
| | - Raphaël Vernet
- Université Paris Cité, Institut National de la Santé et de la Recherche Médicale (INSERM), UMR-1124, Group of Genomic Epidemiology of Multifactorial Diseases, Paris, France
| | - Cyril Nerin
- Institut Pasteur, Université Paris Cité, Department of Computational Biology, Paris, 75015 France
| | - Christophe Boetto
- Institut Pasteur, Université Paris Cité, Department of Computational Biology, Paris, 75015 France
| | - Antoine Auvergne
- Institut Pasteur, Université Paris Cité, Department of Computational Biology, Paris, 75015 France
| | - Christophe Linhard
- Université Paris Cité, Institut National de la Santé et de la Recherche Médicale (INSERM), UMR-1124, Group of Genomic Epidemiology of Multifactorial Diseases, Paris, France
| | - Rachel Torchet
- Institut Pasteur, Université Paris Cité, Bioinformatics of Biostatistics Hub, F-75015 Paris, France
| | - Pierre Lechat
- Institut Pasteur, Université Paris Cité, Bioinformatics of Biostatistics Hub, F-75015 Paris, France
| | - Lucie Troubat
- Institut Pasteur, Université Paris Cité, Department of Computational Biology, Paris, 75015 France
| | - Michael H. Cho
- Channing Division of Network Medicine, Brigham and Women’s Hospital, Harvard Medical School, 181 Longwood Ave, Boston, MA, 02115, USA
- Division of Pulmonary and Critical Care Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
| | - Emmanuelle Bouzigon
- Université Paris Cité, Institut National de la Santé et de la Recherche Médicale (INSERM), UMR-1124, Group of Genomic Epidemiology of Multifactorial Diseases, Paris, France
| | - Hugues Aschard
- Institut Pasteur, Université Paris Cité, Department of Computational Biology, Paris, 75015 France
| | - Hanna Julienne
- Institut Pasteur, Université Paris Cité, Department of Computational Biology, Paris, 75015 France
- Institut Pasteur, Université Paris Cité, Bioinformatics of Biostatistics Hub, F-75015 Paris, France
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Huang G, Wallace DF, Powell EE, Rahman T, Clark PJ, Subramaniam VN. Gene Variants Implicated in Steatotic Liver Disease: Opportunities for Diagnostics and Therapeutics. Biomedicines 2023; 11:2809. [PMID: 37893185 PMCID: PMC10604560 DOI: 10.3390/biomedicines11102809] [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: 08/14/2023] [Revised: 10/05/2023] [Accepted: 10/09/2023] [Indexed: 10/29/2023] Open
Abstract
Non-alcoholic fatty liver disease (NAFLD) describes a steatotic (or fatty) liver occurring as a consequence of a combination of metabolic, environmental, and genetic factors, in the absence of significant alcohol consumption and other liver diseases. NAFLD is a spectrum of conditions. Steatosis in the absence of inflammation is relatively benign, but the disease can progress into more severe forms like non-alcoholic steatohepatitis (NASH), liver cirrhosis, and hepatocellular carcinoma. NAFLD onset and progression are complex, as it is affected by many risk factors. The interaction between genetic predisposition and other factors partially explains the large variability of NAFLD phenotype and natural history. Numerous genes and variants have been identified through large-scale genome-wide association studies (GWAS) that are associated with NAFLD and one or more subtypes of the disease. Among them, the largest effect size and most consistent association have been patatin-like phospholipase domain-containing protein 3 (PNPLA3), transmembrane 6 superfamily member 2 (TM6SF2), and membrane-bound O-acyltransferase domain containing 7 (MBOAT7) genes. Extensive in vitro and in vivo studies have been conducted on these variants to validate these associations. The focus of this review is to highlight the genetics underpinning the molecular mechanisms driving the onset and progression of NAFLD and how they could potentially be used to improve genetic-based diagnostic testing of the disease and develop personalized, targeted therapeutics.
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Affiliation(s)
- Gary Huang
- Hepatogenomics Research Group, Queensland University of Technology (QUT), Brisbane, QLD 4059, Australia;
- Centre for Genomics and Personalised Health, Queensland University of Technology (QUT), Brisbane, QLD 4059, Australia;
- School of Biomedical Sciences, Queensland University of Technology (QUT), Brisbane, QLD 4059, Australia
| | - Daniel F. Wallace
- Centre for Genomics and Personalised Health, Queensland University of Technology (QUT), Brisbane, QLD 4059, Australia;
- School of Biomedical Sciences, Queensland University of Technology (QUT), Brisbane, QLD 4059, Australia
- Metallogenomics Laboratory, Queensland University of Technology (QUT), Brisbane, QLD 4059, Australia
| | - Elizabeth E. Powell
- QIMR Berghofer Medical Research Institute, Brisbane, QLD 4006, Australia;
- Department of Gastroenterology and Hepatology, Princess Alexandra Hospital, Brisbane, QLD 4102, Australia
- Centre for Liver Disease Research, Translational Research Institute, Faculty of Medicine, The University of Queensland, Brisbane, QLD 4101, Australia
| | - Tony Rahman
- Department of Gastroenterology and Hepatology, Prince Charles Hospital, Brisbane, QLD 4032, Australia;
| | - Paul J. Clark
- Mater Adult Hospital, Faculty of Medicine, The University of Queensland, Brisbane, QLD 4101, Australia;
| | - V. Nathan Subramaniam
- Hepatogenomics Research Group, Queensland University of Technology (QUT), Brisbane, QLD 4059, Australia;
- Centre for Genomics and Personalised Health, Queensland University of Technology (QUT), Brisbane, QLD 4059, Australia;
- School of Biomedical Sciences, Queensland University of Technology (QUT), Brisbane, QLD 4059, Australia
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Smith KR, Wang W, Miller MR, Boucher M, Reynold JE, Daurio NA, Li D, Hirenallur-Shanthappa D, Ahn Y, Beebe DA, Kelly KL, Ross TT, Bence KK, Wan M. GPAT1 Deficiency in Mice Modulates NASH Progression in a Model-Dependent Manner. Cell Mol Gastroenterol Hepatol 2023; 17:279-291. [PMID: 37844795 PMCID: PMC10829521 DOI: 10.1016/j.jcmgh.2023.10.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/21/2023] [Revised: 10/11/2023] [Accepted: 10/11/2023] [Indexed: 10/18/2023]
Abstract
BACKGROUND & AIMS Nonalcoholic fatty liver disease (NAFLD), and its more severe form, nonalcoholic steatohepatitis (NASH), is the leading cause for liver failure and liver cancer. Although the etiology is likely multifactorial, genes involved in regulating lipid metabolism are enriched in human NAFLD genome-wide association studies (GWAS), pointing to dysregulated lipid metabolism as a major pathogenic factor. Glycerol-3-phosphate acyltransferase 1 (GPAT1), encoded by GPAM, converts acyl-CoAs and glycerol-3-phosphate into lysophosphatidic acid and has been shown to regulate lipid accumulation in the liver. However, its role in mediating the progression from NAFLD to NASH has not been explored. METHODS GPAT1-deficient mice were generated and challenged with diets inducing hepatic steatosis and NASH. Effects of GPAT1 deficiency on lipid and systemic metabolic end points were evaluated. RESULTS Ablating GPAT1 globally or specifically in mouse hepatocytes reduced hepatic steatosis in the context of diet-induced or genetic obesity. Interestingly, blunting of progression from NAFLD to NASH in global GPAT1 knockout (KO) mice was model dependent. GPAT1 KO mice were protected from choline deficient, amino acid defined high-fat diet-induced NASH development, but not from the high fat, high carbohydrate, and high cholesterol diet-induced NASH. CONCLUSIONS Our preclinical data support the notion that lipid metabolism pathways regulated by GPAT1 in hepatocytes play an essential role in NASH progression, albeit in a model-dependent manner.
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Affiliation(s)
- Kathleen R Smith
- WRDM Internal Medicine Research Unit, Pfizer Inc, Cambridge, Massachusetts
| | - Wenshan Wang
- WRDM Internal Medicine Research Unit, Pfizer Inc, Cambridge, Massachusetts
| | - Melissa R Miller
- WRDM Internal Medicine Research Unit, Pfizer Inc, Cambridge, Massachusetts
| | - Magalie Boucher
- WRDM Drug Safety, Research and Development, Pfizer Inc, Groton, Connecticut
| | - Jessica E Reynold
- WRDM Internal Medicine Research Unit, Pfizer Inc, Cambridge, Massachusetts
| | - Natalie A Daurio
- WRDM Internal Medicine Research Unit, Pfizer Inc, Cambridge, Massachusetts
| | - Dongmei Li
- WRDM Internal Medicine Research Unit, Pfizer Inc, Cambridge, Massachusetts
| | | | - Youngwook Ahn
- WRDM Target Sciences, Pfizer Inc, Cambridge, Massachusetts
| | - David A Beebe
- WRDM Internal Medicine Research Unit, Pfizer Inc, Cambridge, Massachusetts
| | - Kenneth L Kelly
- WRDM Internal Medicine Research Unit, Pfizer Inc, Cambridge, Massachusetts
| | - Trenton T Ross
- WRDM Internal Medicine Research Unit, Pfizer Inc, Cambridge, Massachusetts
| | - Kendra K Bence
- WRDM Internal Medicine Research Unit, Pfizer Inc, Cambridge, Massachusetts
| | - Min Wan
- WRDM Internal Medicine Research Unit, Pfizer Inc, Cambridge, Massachusetts.
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Lauschke VM. Practice guidance documents for the diagnosis and management of non-alcoholic fatty liver disease-recent updates and open questions. Hepatobiliary Surg Nutr 2023; 12:780-784. [PMID: 37886211 PMCID: PMC10598308 DOI: 10.21037/hbsn-23-376] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/26/2023] [Accepted: 08/20/2023] [Indexed: 10/28/2023]
Affiliation(s)
- Volker M. Lauschke
- Dr Margarete Fischer-Bosch Institute of Clinical Pharmacology, Stuttgart, Germany
- Department of Physiology and Pharmacology, Karolinska Institutet, Stockholm, Sweden
- University Tübingen, Tübingen, Germany
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40
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Chen Y, Du X, Kuppa A, Feitosa MF, Bielak LF, O'Connell JR, Musani SK, Guo X, Kahali B, Chen VL, Smith AV, Ryan KA, Eirksdottir G, Allison MA, Bowden DW, Budoff MJ, Carr JJ, Chen YDI, Taylor KD, Oliveri A, Correa A, Crudup BF, Kardia SLR, Mosley TH, Norris JM, Terry JG, Rotter JI, Wagenknecht LE, Halligan BD, Young KA, Hokanson JE, Washko GR, Gudnason V, Province MA, Peyser PA, Palmer ND, Speliotes EK. Genome-wide association meta-analysis identifies 17 loci associated with nonalcoholic fatty liver disease. Nat Genet 2023; 55:1640-1650. [PMID: 37709864 PMCID: PMC10918428 DOI: 10.1038/s41588-023-01497-6] [Citation(s) in RCA: 15] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2021] [Accepted: 08/07/2023] [Indexed: 09/16/2023]
Abstract
Nonalcoholic fatty liver disease (NAFLD) is common and partially heritable and has no effective treatments. We carried out a genome-wide association study (GWAS) meta-analysis of imaging (n = 66,814) and diagnostic code (3,584 cases versus 621,081 controls) measured NAFLD across diverse ancestries. We identified NAFLD-associated variants at torsin family 1 member B (TOR1B), fat mass and obesity associated (FTO), cordon-bleu WH2 repeat protein like 1 (COBLL1)/growth factor receptor-bound protein 14 (GRB14), insulin receptor (INSR), sterol regulatory element-binding transcription factor 1 (SREBF1) and patatin-like phospholipase domain-containing protein 2 (PNPLA2), as well as validated NAFLD-associated variants at patatin-like phospholipase domain-containing protein 3 (PNPLA3), transmembrane 6 superfamily 2 (TM6SF2), apolipoprotein E (APOE), glucokinase regulator (GCKR), tribbles homolog 1 (TRIB1), glycerol-3-phosphate acyltransferase (GPAM), mitochondrial amidoxime-reducing component 1 (MARC1), microsomal triglyceride transfer protein large subunit (MTTP), alcohol dehydrogenase 1B (ADH1B), transmembrane channel like 4 (TMC4)/membrane-bound O-acyltransferase domain containing 7 (MBOAT7) and receptor-type tyrosine-protein phosphatase δ (PTPRD). Implicated genes highlight mitochondrial, cholesterol and de novo lipogenesis as causally contributing to NAFLD predisposition. Phenome-wide association study (PheWAS) analyses suggest at least seven subtypes of NAFLD. Individuals in the top 10% and 1% of genetic risk have a 2.5-fold to 6-fold increased risk of NAFLD, cirrhosis and hepatocellular carcinoma. These genetic variants identify subtypes of NAFLD, improve estimates of disease risk and can guide the development of targeted therapeutics.
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Affiliation(s)
- Yanhua Chen
- Department of Internal Medicine, Division of Gastroenterology and Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA
| | - Xiaomeng Du
- Department of Internal Medicine, Division of Gastroenterology and Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA
| | - Annapurna Kuppa
- Department of Internal Medicine, Division of Gastroenterology and Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA
| | - Mary F Feitosa
- Division of Statistical Genomics, Department of Genetics, Washington University School of Medicine, St. Louis, MO, USA
| | - Lawrence F Bielak
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA
| | - Jeffrey R O'Connell
- Department of Endocrinology, Diabetes and Nutrition, University of Maryland - Baltimore, Baltimore, MD, USA
| | - Solomon K Musani
- Department of Medicine, University of Mississippi Medical Center, Jackson, MS, USA
| | - Xiuqing Guo
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Bratati Kahali
- Department of Internal Medicine, Division of Gastroenterology and Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA
- Centre for Brain Research, Indian Institute of Science, Bangalore, India
| | - Vincent L Chen
- Department of Internal Medicine, Division of Gastroenterology and Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA
| | - Albert V Smith
- Department of Biostatistics, University of Michigan, Ann Arbor, MI, USA
| | - Kathleen A Ryan
- Department of Endocrinology, Diabetes and Nutrition, University of Maryland - Baltimore, Baltimore, MD, USA
| | | | - Matthew A Allison
- Department of Family Medicine, University of California San Diego, San Diego, CA, USA
| | - Donald W Bowden
- Department of Biochemistry, Wake Forest University School of Medicine, Winston-Salem, NC, USA
| | - Matthew J Budoff
- Department of Internal Medicine, Lundquist Institute at Harbor-UCLA, Torrance, CA, USA
| | - John Jeffrey Carr
- Department of Radiology, Vanderbilt University School of Medicine, Nashville, TN, USA
| | - Yii-Der I Chen
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Kent D Taylor
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Antonino Oliveri
- Department of Internal Medicine, Division of Gastroenterology and Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA
| | - Adolfo Correa
- Department of Medicine, University of Mississippi Medical Center, Jackson, MS, USA
| | - Breland F Crudup
- Department of Medicine, University of Mississippi Medical Center, Jackson, MS, USA
| | - Sharon L R Kardia
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA
| | - Thomas H Mosley
- Department of Medicine, University of Mississippi Medical Center, Jackson, MS, USA
| | - Jill M Norris
- Department of Epidemiology, Colorado School of Public Health, Aurora, CO, USA
| | - James G Terry
- Department of Radiology, Vanderbilt University School of Medicine, Nashville, TN, USA
| | - Jerome I Rotter
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Lynne E Wagenknecht
- Division of Public Health Sciences, Wake Forest University School of Medicine, Winston-Salem, NC, USA
| | - Brian D Halligan
- Department of Internal Medicine, Division of Gastroenterology and Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA
| | - Kendra A Young
- Department of Epidemiology, Colorado School of Public Health, Aurora, CO, USA
| | - John E Hokanson
- Department of Epidemiology, Colorado School of Public Health, Aurora, CO, USA
| | - George R Washko
- Department of Medicine, Division of Pulmonary and Critical Care, Brigham and Women's Hospital, Boston, MA, USA
| | - Vilmundur Gudnason
- Icelandic Heart Association, Kopavogur, Iceland
- Department of Medicine, University of Iceland, Reykjavik, Iceland
| | - Michael A Province
- Division of Statistical Genomics, Department of Genetics, Washington University School of Medicine, St. Louis, MO, USA
| | - Patricia A Peyser
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA
| | - Nicholette D Palmer
- Department of Biochemistry, Wake Forest University School of Medicine, Winston-Salem, NC, USA
| | - Elizabeth K Speliotes
- Department of Internal Medicine, Division of Gastroenterology and Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA.
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Lindén D, Romeo S. Therapeutic opportunities for the treatment of NASH with genetically validated targets. J Hepatol 2023; 79:1056-1064. [PMID: 37207913 DOI: 10.1016/j.jhep.2023.05.007] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/11/2023] [Revised: 04/29/2023] [Accepted: 05/02/2023] [Indexed: 05/21/2023]
Abstract
The identification of genetic variants associated with fatty liver disease (FLD) from genome-wide association studies started in 2008 when single nucleotide polymorphisms in PNPLA3, the gene encoding patatin-like phospholipase domain-containing 3, were found to be associated with altered hepatic fat content. Since then, several genetic variants associated with protection from, or an increased risk of, FLD have been identified. The identification of these variants has provided insight into the metabolic pathways that cause FLD and enabled the identification of potential therapeutic targets. In this mini-review, we will examine the therapeutic opportunities derived from genetically validated targets in FLD, including oligonucleotide-based therapies targeting PNPLA3 and HSD17B13 that are currently being evaluated in clinical trials for the treatment of NASH (non-alcoholic steatohepatitis).
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Affiliation(s)
- Daniel Lindén
- Bioscience Metabolism, Research and Early Development Cardiovascular, Renal and Metabolism (CVRM), BioPharmaceuticals R&D, AstraZeneca, Gothenburg, Sweden; Division of Endocrinology, Department of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Sweden.
| | - Stefano Romeo
- Department of Molecular and Clinical Medicine, Institute of Medicine, Sahlgrenska Academy, Wallenberg Laboratory, University of Gothenburg, Gothenburg, Sweden; Department of Cardiology, Sahlgrenska University Hospital, Gothenburg, Sweden; Clinical Nutrition Unit, Department of Medical and Surgical Sciences, University Magna Graecia, Catanzaro, Italy.
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Snaebjarnarson AS, Helgadottir A, Arnadottir GA, Ivarsdottir EV, Thorleifsson G, Ferkingstad E, Einarsson G, Sveinbjornsson G, Thorgeirsson TE, Ulfarsson MO, Halldorsson BV, Olafsson I, Erikstrup C, Pedersen OB, Nyegaard M, Bruun MT, Ullum H, Brunak S, Iversen KK, Christensen AH, Olesen MS, Ghouse J, Banasik K, Knowlton KU, Arnar DO, Thorgeirsson G, Nadauld L, Ostrowski SR, Bundgaard H, Holm H, Sulem P, Stefansson K, Gudbjartsson DF. Complex effects of sequence variants on lipid levels and coronary artery disease. Cell 2023; 186:4085-4099.e15. [PMID: 37714134 DOI: 10.1016/j.cell.2023.08.012] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2023] [Revised: 05/06/2023] [Accepted: 08/10/2023] [Indexed: 09/17/2023]
Abstract
Many sequence variants have additive effects on blood lipid levels and, through that, on the risk of coronary artery disease (CAD). We show that variants also have non-additive effects and interact to affect lipid levels as well as affecting variance and correlations. Variance and correlation effects are often signatures of epistasis or gene-environmental interactions. These complex effects can translate into CAD risk. For example, Trp154Ter in FUT2 protects against CAD among subjects with the A1 blood group, whereas it associates with greater risk of CAD in others. His48Arg in ADH1B interacts with alcohol consumption to affect lipid levels and CAD. The effect of variants in TM6SF2 on blood lipids is greatest among those who never eat oily fish but absent from those who often do. This work demonstrates that variants that affect variance of quantitative traits can allow for the discovery of epistasis and interactions of variants with the environment.
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Affiliation(s)
| | | | | | | | | | | | | | | | | | - Magnus O Ulfarsson
- deCODE genetics/Amgen, Inc., Reykjavik 102, Iceland; Faculty of Electrical and Computer Engineering, University of Iceland, Reykjavik 102, Iceland
| | | | - Isleifur Olafsson
- Department of Clinical Biochemistry, Landspitali - National University Hospital of Iceland, Hringbraut, Reykjavik 101, Iceland
| | - Christian Erikstrup
- Department of Clinical Immunology, Aarhus University Hospital, Aarhus 8200, Denmark; Department of Clinical Medicine, Health, Aarhus University, Aarhus 8200, Denmark
| | - Ole B Pedersen
- Department of Clinical Immunology, Zealand University Hospital, Køge 4600, Denmark; Department of Clinical Medicine, University of Copenhagen, Copenhagen 1165, Denmark
| | - Mette Nyegaard
- Department of Health Science and Technology, Faculty of Medicine, Aalborg University, Aalborg 9220, Denmark
| | - Mie T Bruun
- Department of Clinical Immunology, Odense University Hospital, Odense 5000, Denmark
| | - Henrik Ullum
- Statens Serum Institut, Copenhagen 2300, Denmark
| | - Søren Brunak
- Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen 2200, Denmark
| | - Kasper Karmark Iversen
- Department of Clinical Medicine, University of Copenhagen, Copenhagen 1165, Denmark; Department of Emergency Medicine, Copenhagen University Hospital Herlev and Gentofte, Herlev 2900, Denmark; Department of Cardiology, Copenhagen University Hospital, Herlev-Gentofte Hospital, Herlev 2900, Denmark
| | - Alex Hoerby Christensen
- Department of Clinical Medicine, University of Copenhagen, Copenhagen 1165, Denmark; Department of Cardiology, Copenhagen University Hospital, Herlev-Gentofte Hospital, Herlev 2900, Denmark
| | - Morten S Olesen
- Laboratory for Molecular Cardiology, Department of Cardiology, Rigshospitalet, Copenhagen University Hospital, Copenhagen 2100, Denmark; Laboratory for Molecular Cardiology, Department of Biomedical Sciences, University of Copenhagen, Copenhagen 1165, Denmark
| | - Jonas Ghouse
- Laboratory for Molecular Cardiology, Department of Cardiology, Rigshospitalet, Copenhagen University Hospital, Copenhagen 2100, Denmark; Laboratory for Molecular Cardiology, Department of Biomedical Sciences, University of Copenhagen, Copenhagen 1165, Denmark
| | - Karina Banasik
- Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen 2200, Denmark
| | - Kirk U Knowlton
- Intermountain Medical Center, Intermountain Heart Institute, Salt Lake City, UT 84143, USA
| | - David O Arnar
- deCODE genetics/Amgen, Inc., Reykjavik 102, Iceland; Faculty of Medicine, University of Iceland, Vatnsmyrarvegur, Reykjavik 101, Iceland; Division of Cardiology, Department of Internal Medicine, Landspitali - National University Hospital of Iceland, Hringbraut, Reykjavik 101, Iceland
| | - Gudmundur Thorgeirsson
- deCODE genetics/Amgen, Inc., Reykjavik 102, Iceland; Faculty of Medicine, University of Iceland, Vatnsmyrarvegur, Reykjavik 101, Iceland; Division of Cardiology, Department of Internal Medicine, Landspitali - National University Hospital of Iceland, Hringbraut, Reykjavik 101, Iceland
| | - Lincoln Nadauld
- Precision Genomics, Intermountain Healthcare, Saint George, UT 84790, USA
| | - Sisse Rye Ostrowski
- Department of Clinical Medicine, University of Copenhagen, Copenhagen 1165, Denmark; Department of Clinical Immunology, Copenhagen University Hospital, Rigshospitalet, Copenhagen 2100, Denmark
| | - Henning Bundgaard
- Department of Clinical Medicine, University of Copenhagen, Copenhagen 1165, Denmark; Department of Cardiology, Rigshospitalet, Copenhagen University Hospital, Copenhagen 2100, Denmark
| | - Hilma Holm
- deCODE genetics/Amgen, Inc., Reykjavik 102, Iceland
| | | | - Kari Stefansson
- deCODE genetics/Amgen, Inc., Reykjavik 102, Iceland; Faculty of Medicine, University of Iceland, Vatnsmyrarvegur, Reykjavik 101, Iceland.
| | - Daniel F Gudbjartsson
- deCODE genetics/Amgen, Inc., Reykjavik 102, Iceland; School of Engineering and Natural Sciences, University of Iceland, Reykjavik 102, Iceland.
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Shi F, Zhao M, Zheng S, Zheng L, Wang H. Advances in genetic variation in metabolism-related fatty liver disease. Front Genet 2023; 14:1213916. [PMID: 37753315 PMCID: PMC10518415 DOI: 10.3389/fgene.2023.1213916] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2023] [Accepted: 08/30/2023] [Indexed: 09/28/2023] Open
Abstract
Metabolism-related fatty liver disease (MAFLD) is the most common form of chronic liver disease in the world. Its pathogenesis is influenced by both environmental and genetic factors. With the upgrading of gene screening methods and the development of human genome project, whole genome scanning has been widely used to screen genes related to MAFLD, and more and more genetic variation factors related to MAFLD susceptibility have been discovered. There are genetic variants that are highly correlated with the occurrence and development of MAFLD, and there are genetic variants that are protective of MAFLD. These genetic variants affect the development of MAFLD by influencing lipid metabolism and insulin resistance. Therefore, in-depth analysis of different mechanisms of genetic variation and targeting of specific genetic variation genes may provide a new idea for the early prediction and diagnosis of diseases and individualized precision therapy, which may be a promising strategy for the treatment of MAFLD.
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Affiliation(s)
- Fan Shi
- School of Heilongjiang University of Chinese Medicine, Harbin, China
| | - Mei Zhao
- School of Heilongjiang University of Chinese Medicine, Harbin, China
| | - Shudan Zheng
- School of Heilongjiang University of Chinese Medicine, Harbin, China
| | - Lihong Zheng
- Department of Internal Medicine, Fourth Affiliated Hospital, Heilongjiang University of Chinese Medicine, Harbin, China
| | - Haiqiang Wang
- Department of Internal Medicine, First Affiliated Hospital, Heilongjiang University of Chinese Medicine, Harbin, China
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Gellert-Kristensen H, Tybjaerg-Hansen A, Nordestgaard BG, Ghouse J, Fuchs A, Kühl JT, Sigvardsen PE, Kofoed KF, Stender S. Genetic risk of fatty liver disease and mortality in the general population: A Mendelian randomization study. Liver Int 2023; 43:1955-1965. [PMID: 37269170 DOI: 10.1111/liv.15629] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/01/2023] [Revised: 05/13/2023] [Accepted: 05/20/2023] [Indexed: 06/04/2023]
Abstract
BACKGROUND & AIMS Fatty liver disease has been associated with higher all-cause as well as liver-related, ischemic heart disease (IHD)-related and extrahepatic cancer-related mortality in observational epidemiological studies. We tested the hypothesis that fatty liver disease is a causal risk factor for higher mortality. METHODS We genotyped seven genetic variants known to be associated with fatty liver disease (in PNPLA3, TM6SF2, HSD17B13, MTARC1, MBOAT7, GCKR, and GPAM) in 110 913 individuals from the Danish general population. Hepatic steatosis was measured by hepatic computed tomography in n = 6965. Using a Mendelian randomization framework, we tested whether genetically proxied hepatic steatosis and/or elevated plasma alanine transaminase (ALT) was associated with liver-related mortality. RESULTS During a median follow-up of 9.5 years, 16 119 individuals died. In observational analyses, baseline elevated plasma ALT was associated with higher all-cause (1.26-fold), liver-related (9-fold), and extrahepatic cancer-related (1.25-fold) mortality. In genetic analyses, the risk alleles in PNPLA3, TM6SF2, and HSD17B13 were individually associated with higher liver-related mortality. The largest effects were seen for the PNPLA3 and TM6SF2 risk alleles, for which homozygous carriers had 3-fold and 6-fold, respectively, higher liver-related mortality than non-carriers. None of the risk alleles, individually or combined into risk scores, were robustly associated with all-cause, IHD-related, or extrahepatic cancer-related mortality. In instrumental variable analyses, genetically proxied hepatic steatosis and higher plasma ALT were associated with liver-related mortality. CONCLUSIONS Human genetic data support that fatty liver disease is a causal driver of liver-related mortality.
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Affiliation(s)
- Helene Gellert-Kristensen
- Department of Clinical Biochemistry, Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark
| | - Anne Tybjaerg-Hansen
- Department of Clinical Biochemistry, Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark
- The Copenhagen General Population Study, Copenhagen University Hospital - Herlev Gentofte, Herlev, Denmark
- The Copenhagen City Heart Study, Copenhagen University Hospital - Bispebjerg Frederiksberg, Frederiksberg, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Børge G Nordestgaard
- The Copenhagen General Population Study, Copenhagen University Hospital - Herlev Gentofte, Herlev, Denmark
- The Copenhagen City Heart Study, Copenhagen University Hospital - Bispebjerg Frederiksberg, Frederiksberg, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Department of Clinical Biochemistry, Copenhagen University Hospital - Herlev Gentofte, Herlev, Denmark
| | - Jonas Ghouse
- Department of Cardiology, Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark
| | - Andreas Fuchs
- Department of Cardiology, Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark
| | - Jørgen T Kühl
- Department of Cardiology, Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark
| | - Per E Sigvardsen
- Department of Cardiology, Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark
| | - Klaus F Kofoed
- Department of Cardiology, Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark
- Department of Radiology, Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark
| | - Stefan Stender
- Department of Clinical Biochemistry, Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark
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45
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Faccioli LAP, Cetin Z, Kocas-Kilicarslan ZN, Ortiz K, Sun Y, Hu Z, Kurihara T, Tafaleng EN, Florentino RM, Wang Z, Xia M, Miedel MT, Taylor DL, Behari J, Ostrowska A, Constantine R, Li A, Soto-Gutierrez A. Evaluation of Human Hepatocyte Drug Metabolism Carrying High-Risk or Protection-Associated Liver Disease Genetic Variants. Int J Mol Sci 2023; 24:13406. [PMID: 37686209 PMCID: PMC10487897 DOI: 10.3390/ijms241713406] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2023] [Revised: 08/15/2023] [Accepted: 08/25/2023] [Indexed: 09/10/2023] Open
Abstract
Metabolic-dysfunction-associated steatotic liver disease (MASLD), which affects 30 million people in the US and is anticipated to reach over 100 million by 2030, places a significant financial strain on the healthcare system. There is presently no FDA-approved treatment for MASLD despite its public health significance and financial burden. Understanding the connection between point mutations, liver enzymes, and MASLD is important for comprehending drug toxicity in healthy or diseased individuals. Multiple genetic variations have been linked to MASLD susceptibility through genome-wide association studies (GWAS), either increasing MASLD risk or protecting against it, such as PNPLA3 rs738409, MBOAT7 rs641738, GCKR rs780094, HSD17B13 rs72613567, and MTARC1 rs2642438. As the impact of genetic variants on the levels of drug-metabolizing cytochrome P450 (CYP) enzymes in human hepatocytes has not been thoroughly investigated, this study aims to describe the analysis of metabolic functions for selected phase I and phase II liver enzymes in human hepatocytes. For this purpose, fresh isolated primary hepatocytes were obtained from healthy liver donors (n = 126), and liquid chromatography-mass spectrometry (LC-MS) was performed. For the cohorts, participants were classified into minor homozygotes and nonminor homozygotes (major homozygotes + heterozygotes) for five gene polymorphisms. For phase I liver enzymes, we found a significant difference in the activity of CYP1A2 in human hepatocytes carrying MBOAT7 (p = 0.011) and of CYP2C8 in human hepatocytes carrying PNPLA3 (p = 0.004). It was also observed that the activity of CYP2C9 was significantly lower in human hepatocytes carrying HSD17B13 (p = 0.001) minor homozygous compared to nonminor homozygous. No significant difference in activity of CYP2E1, CYP2C8, CYP2D6, CYP2E1, CYP3A4, ECOD, FMO, MAO, AO, and CES2 and in any of the phase II liver enzymes between human hepatocytes carrying genetic variants for PNPLA3 rs738409, MBOAT7 rs641738, GCKR rs780094, HSD17B13 rs72613567, and MTARC1 rs2642438 were observed. These findings offer a preliminary assessment of the influence of genetic variations on drug-metabolizing cytochrome P450 (CYP) enzymes in healthy human hepatocytes, which may be useful for future drug discovery investigations.
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Affiliation(s)
- Lanuza A. P. Faccioli
- Department of Pathology, University of Pittsburgh School of Medicine, Pittsburgh, PA 15261, USA; (Z.C.); (Z.N.K.-K.); (K.O.); (Y.S.); (Z.H.); (T.K.); (E.N.T.); (R.M.F.); (A.O.)
| | - Zeliha Cetin
- Department of Pathology, University of Pittsburgh School of Medicine, Pittsburgh, PA 15261, USA; (Z.C.); (Z.N.K.-K.); (K.O.); (Y.S.); (Z.H.); (T.K.); (E.N.T.); (R.M.F.); (A.O.)
| | - Zehra N. Kocas-Kilicarslan
- Department of Pathology, University of Pittsburgh School of Medicine, Pittsburgh, PA 15261, USA; (Z.C.); (Z.N.K.-K.); (K.O.); (Y.S.); (Z.H.); (T.K.); (E.N.T.); (R.M.F.); (A.O.)
| | - Kimberly Ortiz
- Department of Pathology, University of Pittsburgh School of Medicine, Pittsburgh, PA 15261, USA; (Z.C.); (Z.N.K.-K.); (K.O.); (Y.S.); (Z.H.); (T.K.); (E.N.T.); (R.M.F.); (A.O.)
| | - Yiyue Sun
- Department of Pathology, University of Pittsburgh School of Medicine, Pittsburgh, PA 15261, USA; (Z.C.); (Z.N.K.-K.); (K.O.); (Y.S.); (Z.H.); (T.K.); (E.N.T.); (R.M.F.); (A.O.)
| | - Zhiping Hu
- Department of Pathology, University of Pittsburgh School of Medicine, Pittsburgh, PA 15261, USA; (Z.C.); (Z.N.K.-K.); (K.O.); (Y.S.); (Z.H.); (T.K.); (E.N.T.); (R.M.F.); (A.O.)
| | - Takeshi Kurihara
- Department of Pathology, University of Pittsburgh School of Medicine, Pittsburgh, PA 15261, USA; (Z.C.); (Z.N.K.-K.); (K.O.); (Y.S.); (Z.H.); (T.K.); (E.N.T.); (R.M.F.); (A.O.)
| | - Edgar N. Tafaleng
- Department of Pathology, University of Pittsburgh School of Medicine, Pittsburgh, PA 15261, USA; (Z.C.); (Z.N.K.-K.); (K.O.); (Y.S.); (Z.H.); (T.K.); (E.N.T.); (R.M.F.); (A.O.)
| | - Rodrigo M. Florentino
- Department of Pathology, University of Pittsburgh School of Medicine, Pittsburgh, PA 15261, USA; (Z.C.); (Z.N.K.-K.); (K.O.); (Y.S.); (Z.H.); (T.K.); (E.N.T.); (R.M.F.); (A.O.)
- Pittsburgh Liver Research Center, Human Synthetic Liver Biology Core, University of Pittsburgh, Pittsburgh, PA 15261, USA; (D.L.T.); (J.B.)
| | - Zi Wang
- Department of Statistics, University of Pittsburgh, Pittsburgh, PA 15213, USA;
| | - Mengying Xia
- Drug Discovery Institute, University of Pittsburgh, Pittsburgh, PA 15261, USA; (M.X.); (M.T.M.)
- Department of Computational and Systems Biology, University of Pittsburgh, Pittsburgh, PA 15260, USA
| | - Mark T. Miedel
- Drug Discovery Institute, University of Pittsburgh, Pittsburgh, PA 15261, USA; (M.X.); (M.T.M.)
- Department of Computational and Systems Biology, University of Pittsburgh, Pittsburgh, PA 15260, USA
| | - D. Lansing Taylor
- Pittsburgh Liver Research Center, Human Synthetic Liver Biology Core, University of Pittsburgh, Pittsburgh, PA 15261, USA; (D.L.T.); (J.B.)
- Department of Statistics, University of Pittsburgh, Pittsburgh, PA 15213, USA;
- Drug Discovery Institute, University of Pittsburgh, Pittsburgh, PA 15261, USA; (M.X.); (M.T.M.)
| | - Jaideep Behari
- Pittsburgh Liver Research Center, Human Synthetic Liver Biology Core, University of Pittsburgh, Pittsburgh, PA 15261, USA; (D.L.T.); (J.B.)
- Department of Medicine, Division of Gastroenterology, Hepatology, and Nutrition, University of Pittsburgh Medical Center, Pittsburgh, PA 15213, USA
| | - Alina Ostrowska
- Department of Pathology, University of Pittsburgh School of Medicine, Pittsburgh, PA 15261, USA; (Z.C.); (Z.N.K.-K.); (K.O.); (Y.S.); (Z.H.); (T.K.); (E.N.T.); (R.M.F.); (A.O.)
- Pittsburgh Liver Research Center, Human Synthetic Liver Biology Core, University of Pittsburgh, Pittsburgh, PA 15261, USA; (D.L.T.); (J.B.)
| | | | - Albert Li
- Discovery Life Sciences, Huntsville, AL 35806, USA; (R.C.); (A.L.)
| | - Alejandro Soto-Gutierrez
- Department of Pathology, University of Pittsburgh School of Medicine, Pittsburgh, PA 15261, USA; (Z.C.); (Z.N.K.-K.); (K.O.); (Y.S.); (Z.H.); (T.K.); (E.N.T.); (R.M.F.); (A.O.)
- Pittsburgh Liver Research Center, Human Synthetic Liver Biology Core, University of Pittsburgh, Pittsburgh, PA 15261, USA; (D.L.T.); (J.B.)
- Drug Discovery Institute, University of Pittsburgh, Pittsburgh, PA 15261, USA; (M.X.); (M.T.M.)
- McGowan Institute for Regenerative Medicine, Pittsburgh, PA 15219, USA
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Hernandez-Ono A, Zhao YP, Murray JW, Östlund C, Lee MJ, Shi A, Dauer WT, Worman HJ, Ginsberg HN, Shin JY. Functional interaction of torsinA and its activators in liver lipid metabolism. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.06.21.545957. [PMID: 37547008 PMCID: PMC10401926 DOI: 10.1101/2023.06.21.545957] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/08/2023]
Abstract
TorsinA is an atypical ATPase that lacks intrinsic activity unless it is bound to its activators lamina-associated polypeptide 1 (LAP1) in the perinuclear space or luminal domain-like LAP1 (LULL1) throughout the endoplasmic reticulum. However, the interaction of torsinA with LAP1 and LULL1 has not yet been shown to modulate a defined physiological process in mammals in vivo . We previously demonstrated that depletion of torsinA from mouse hepatocytes leads to reduced liver triglyceride secretion and marked steatosis, whereas depletion of LAP1 had more modest similar effects. We now show that depletion of LULL1 alone does not significantly decrease liver triglyceride secretion or cause steatosis. However, simultaneous depletion of both LAP1 and LULL1 from hepatocytes leads to defective triglyceride secretion and marked steatosis similar to that observed with depletion of torsinA. Our results demonstrate that torsinA and its activators dynamically regulate a physiological process in mammals in vivo .
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47
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Chen L, Fan Z, Zhao Y, Yang H, Lv G. Genetic factors in the clinical predictive model for hepatocellular carcinoma: Evidence from genetic association analyses. J Hepatol 2023; 79:e33-e35. [PMID: 36608772 DOI: 10.1016/j.jhep.2022.12.024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/29/2022] [Revised: 12/19/2022] [Accepted: 12/22/2022] [Indexed: 01/04/2023]
Affiliation(s)
- Lanlan Chen
- Department of Hepatobiliary and Pancreatic Surgery, General Surgery Center, First Hospital of Jilin University, No.1 Xinmin Street, Changchun, 130021, Jilin, China
| | - Zhongqi Fan
- Department of Hepatobiliary and Pancreatic Surgery, General Surgery Center, First Hospital of Jilin University, No.1 Xinmin Street, Changchun, 130021, Jilin, China
| | - Yuexuan Zhao
- Department of Hepatobiliary and Pancreatic Surgery, General Surgery Center, First Hospital of Jilin University, No.1 Xinmin Street, Changchun, 130021, Jilin, China
| | - Hongqun Yang
- Department of Hepatobiliary and Pancreatic Surgery, General Surgery Center, First Hospital of Jilin University, No.1 Xinmin Street, Changchun, 130021, Jilin, China
| | - Guoyue Lv
- Department of Hepatobiliary and Pancreatic Surgery, General Surgery Center, First Hospital of Jilin University, No.1 Xinmin Street, Changchun, 130021, Jilin, China.
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48
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Kyhl LK, Nordestgaard BG, Tybjærg-Hansen A, Nielsen SF. High fat in blood and body and increased risk of clinically diagnosed non-alcoholic fatty liver disease in 105,981 individuals. Atherosclerosis 2023; 376:1-10. [PMID: 37253311 DOI: 10.1016/j.atherosclerosis.2023.05.015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/29/2022] [Revised: 05/17/2023] [Accepted: 05/17/2023] [Indexed: 06/01/2023]
Abstract
BACKGROUND AND AIMS High caloric diets rich in fat and carbohydrates lead to increased fat accumulation in adipose tissue and blood. This may lead to increased risk of non-alcoholic fatty liver disease. We hypothesized that baseline high nonfasting plasma triglycerides, body mass index (BMI), and waist circumference, individually and combined, associate with increased risk of clinically diagnosed non-alcoholic fatty liver disease during follow-up. METHODS Cohort of 105,981 white Danish individuals recruited in 2003-2015 with end of follow-up on December 13th, 2018. Mean follow-up was 9.2 years during which time 418 were clinically diagnosed at hospitals with non-alcoholic fatty liver disease. RESULTS Risk of clinically diagnosed non-alcoholic fatty liver disease increased with higher plasma triglycerides, higher BMI, and with higher waist circumference, continuously and stepwise using multivariable adjusted hazard ratios and cumulative incidences. Combining clinical categories of plasma triglycerides with BMI or waist circumference categories, illustrated an almost additive risk with increasing categories. Compared with plasma triglycerides of <1 mmol/L and BMI <25 kg/m2, the multivariable adjusted hazard ratio was 5.2(95% confidence interval: 1.3-21.6) for individuals with both plasma triglycerides of ≥5 mmol/L and BMI ≥35 kg/m2. The corresponding hazard ratio for individuals with plasma triglycerides ≥5 mmol/L and waist circumference was >88 cm for women and >102 cm for men was 4.8(2.3-9.7). Triglyceride results were more pronounced in women versus men. CONCLUSIONS High fat in blood and body measured by plasma triglycerides, BMI, and waist circumference, individually and especially combined, are associated with up to a 5-fold increased risk of clinically diagnosed non-alcoholic fatty liver disease.
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Affiliation(s)
- Lærke Kristine Kyhl
- Department of Clinical Biochemistry, Herlev and Gentofte Hospital, Copenhagen University Hospital, Faculty of Health and Medical Sciences, University of Copenhagen, Denmark; The Copenhagen General Population Study, Herlev and Gentofte Hospital, Copenhagen University Hospital, Faculty of Health and Medical Sciences, University of Copenhagen, Denmark
| | - Børge Grønne Nordestgaard
- Department of Clinical Biochemistry, Herlev and Gentofte Hospital, Copenhagen University Hospital, Faculty of Health and Medical Sciences, University of Copenhagen, Denmark; The Copenhagen General Population Study, Herlev and Gentofte Hospital, Copenhagen University Hospital, Faculty of Health and Medical Sciences, University of Copenhagen, Denmark
| | - Anne Tybjærg-Hansen
- Department of Clinical Biochemistry, Rigshospitalet, Copenhagen University Hospital, Faculty of Health and Medical Sciences, University of Copenhagen, Denmark; The Copenhagen General Population Study, Herlev and Gentofte Hospital, Copenhagen University Hospital, Faculty of Health and Medical Sciences, University of Copenhagen, Denmark
| | - Sune Fallgaard Nielsen
- Department of Clinical Biochemistry, Herlev and Gentofte Hospital, Copenhagen University Hospital, Faculty of Health and Medical Sciences, University of Copenhagen, Denmark; The Copenhagen General Population Study, Herlev and Gentofte Hospital, Copenhagen University Hospital, Faculty of Health and Medical Sciences, University of Copenhagen, Denmark.
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Clement B, Struwe MA. The History of mARC. Molecules 2023; 28:4713. [PMID: 37375270 DOI: 10.3390/molecules28124713] [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: 05/12/2023] [Revised: 06/08/2023] [Accepted: 06/10/2023] [Indexed: 06/29/2023] Open
Abstract
The mitochondrial amidoxime-reducing component (mARC) is the most recently discovered molybdoenzyme in humans after sulfite oxidase, xanthine oxidase and aldehyde oxidase. Here, the timeline of mARC's discovery is briefly described. The story begins with investigations into N-oxidation of pharmaceutical drugs and model compounds. Many compounds are N-oxidized extensively in vitro, but it turned out that a previously unknown enzyme catalyzes the retroreduction of the N-oxygenated products in vivo. After many years, the molybdoenzyme mARC could finally be isolated and identified in 2006. mARC is an important drug-metabolizing enzyme and N-reduction by mARC has been exploited very successfully for prodrug strategies, that allow oral administration of otherwise poorly bioavailable therapeutic drugs. Recently, it was demonstrated that mARC is a key factor in lipid metabolism and likely involved in the pathogenesis of non-alcoholic fatty liver disease (NAFLD). The exact link between mARC and lipid metabolism is not yet fully understood. Regardless, many now consider mARC a potential drug target for the prevention or treatment of liver diseases. This article focusses on discoveries related to mammalian mARC enzymes. mARC homologues have been studied in algae, plants and bacteria. These will not be discussed extensively here.
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Affiliation(s)
- Bernd Clement
- Pharmazeutisches Institut, Christian-Albrechts-Universität zu Kiel, Gutenbergstraße 76, 24118 Kiel, Germany
| | - Michel A Struwe
- Pharmazeutisches Institut, Christian-Albrechts-Universität zu Kiel, Gutenbergstraße 76, 24118 Kiel, Germany
- Zoologisches Institut-Strukturbiologie, Zentrum für Biochemie und Molekularbiologie, Christian-Albrechts-Universität zu Kiel, Am Botanischen Garten 1-9, 24118 Kiel, Germany
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Ajmera V, Loomba R. Advances in the genetics of nonalcoholic fatty liver disease. Curr Opin Gastroenterol 2023; 39:150-155. [PMID: 37144531 PMCID: PMC10167543 DOI: 10.1097/mog.0000000000000927] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 05/06/2023]
Abstract
PURPOSE OF REVIEW Nonalcoholic fatty liver disease (NAFLD) is the most common cause of liver disease in the United States and has a strong heritable component. Advances in understanding the genetic underpinnings of NAFLD have revealed important insights into NAFLD pathogenesis, prognosis, and potential therapeutic targets. The purpose of this review is to summarize data on common and rare variants associated with NAFLD, combining risk variants into polygenic scores to predict NAFLD and cirrhosis as well as emerging evidence on using gene silencing as a novel therapeutic target in NAFLD. RECENT FINDINGS Protective variants in HSD17B13, MARC1 and CIDEB have been identified and a confer 10-50% lower risk of cirrhosis. Together, these as well as other NAFLD risk variants, including those in PNPLA3 and TM6SF2, can be combined to create polygenic risk scores associated with liver fat, cirrhosis, and hepatocellular carcinoma. Genomic analysis of extreme phenotypes including patients with lean NAFLD without visceral adiposity may uncover rare monogenic disorders with pathogenic and therapeutic implications and gene silencing strategies targeting HSD17B13 and PNPLA3 are being evaluated in early phase human studies as treatments for NAFLD. SUMMARY Advances in our understanding of the genetics of NAFLD will enable clinical risk stratification and yield potential therapeutic targets.
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Affiliation(s)
- Veeral Ajmera
- NAFLD Research Center, Division of Gastroenterology. University of California at San Diego, La Jolla, CA, USA
- Division of Gastroenterology and Hepatology, University of California at San Diego, La Jolla, CA, USA
| | - Rohit Loomba
- NAFLD Research Center, Division of Gastroenterology. University of California at San Diego, La Jolla, CA, USA
- Division of Gastroenterology and Hepatology, University of California at San Diego, La Jolla, CA, USA
- School of Public Health, University of California at San Diego, La Jolla, CA, USA
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