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Low ZS, Chua D, Cheng HS, Tee R, Tan WR, Ball C, Sahib NBE, Ng SS, Qu J, Liu Y, Hong H, Cai C, Rao NCL, Wee A, Muthiah MD, Bichler Z, Mickelson B, Kong MS, Tay VS, Yan Z, Chen J, Ng AS, Yip YS, Vos MIG, Tan NA, Lim DL, Lim DXE, Chittezhath M, Yaligar J, Verma SK, Poptani H, Guan XL, Velan SS, Ali Y, Li L, Tan NS, Wahli W. The LIDPAD Mouse Model Captures the Multisystem Interactions and Extrahepatic Complications in MASLD. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2024; 11:e2404326. [PMID: 38952069 PMCID: PMC11425234 DOI: 10.1002/advs.202404326] [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: 04/23/2024] [Revised: 05/22/2024] [Indexed: 07/03/2024]
Abstract
Metabolic dysfunction-associated steatotic liver disease (MASLD) represents an impending global health challenge. Current management strategies often face setbacks, emphasizing the need for preclinical models that faithfully mimic the human disease and its comorbidities. The liver disease progression aggravation diet (LIDPAD), a diet-induced murine model, extensively characterized under thermoneutral conditions and refined diets is introduced to ensure reproducibility and minimize species differences. LIDPAD recapitulates key phenotypic, genetic, and metabolic hallmarks of human MASLD, including multiorgan communications, and disease progression within 4 to 16 weeks. These findings reveal gut-liver dysregulation as an early event and compensatory pancreatic islet hyperplasia, underscoring the gut-pancreas axis in MASLD pathogenesis. A robust computational pipeline is also detailed for transcriptomic-guided disease staging, validated against multiple harmonized human hepatic transcriptomic datasets, thereby enabling comparative studies between human and mouse models. This approach underscores the remarkable similarity of the LIDPAD model to human MASLD. The LIDPAD model fidelity to human MASLD is further confirmed by its responsiveness to dietary interventions, with improvements in metabolic profiles, liver histopathology, hepatic transcriptomes, and gut microbial diversity. These results, alongside the closely aligned changing disease-associated molecular signatures between the human MASLD and LIDPAD model, affirm the model's relevance and potential for driving therapeutic development.
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Affiliation(s)
- Zun Siong Low
- Lee Kong Chian School of Medicine, Nanyang Technological University Singapore, Clinical Sciences Building, 11 Mandalay Road, Singapore, 308232, Singapore
| | - Damien Chua
- Lee Kong Chian School of Medicine, Nanyang Technological University Singapore, Clinical Sciences Building, 11 Mandalay Road, Singapore, 308232, Singapore
| | - Hong Sheng Cheng
- Lee Kong Chian School of Medicine, Nanyang Technological University Singapore, Clinical Sciences Building, 11 Mandalay Road, Singapore, 308232, Singapore
| | - Rachel Tee
- Lee Kong Chian School of Medicine, Nanyang Technological University Singapore, Clinical Sciences Building, 11 Mandalay Road, Singapore, 308232, Singapore
| | - Wei Ren Tan
- Lee Kong Chian School of Medicine, Nanyang Technological University Singapore, Clinical Sciences Building, 11 Mandalay Road, Singapore, 308232, Singapore
| | - Christopher Ball
- Metabolic Imaging Group, Institute of Bioengineering and Bioimaging, Agency for Science Technology and Research (A*STAR), 11 Biopolis Way, Singapore, 138667, Singapore
| | - Norliza Binte Esmail Sahib
- Lee Kong Chian School of Medicine, Nanyang Technological University Singapore, Clinical Sciences Building, 11 Mandalay Road, Singapore, 308232, Singapore
| | - Ser Sue Ng
- Lee Kong Chian School of Medicine, Nanyang Technological University Singapore, Clinical Sciences Building, 11 Mandalay Road, Singapore, 308232, Singapore
| | - Jing Qu
- Department of Pathogen Biology, Shenzhen Center for Disease Control and Prevention, Shenzhen, 518055, China
| | - Yingzi Liu
- Intervention and Cell Therapy Center, Peking University Shenzhen Hospital, Shenzhen, 518036, China
| | - Haiyu Hong
- Department of Otolaryngology Head and Neck Surgery, The Fifth Affiliated Hospital of Sun Yat-sen University, 52 Mei Hua East Road, Zhuhai, 519000, China
| | - Chaonong Cai
- Department of Otolaryngology Head and Neck Surgery, The Fifth Affiliated Hospital of Sun Yat-sen University, 52 Mei Hua East Road, Zhuhai, 519000, China
| | | | - Aileen Wee
- Department of Pathology, National University Hospital, 5 Lower Kent Ridge Rd, Singapore, 119074, Singapore
| | - Mark Dhinesh Muthiah
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, 117597, Singapore
- Division of Gastroenterology and Hepatology, Department of Medicine, National University Hospital, Singapore, 119074, Singapore
- National University Centre for Organ Transplantation, National University Health System, Singapore, 119074, Singapore
| | - Zoë Bichler
- Lee Kong Chian School of Medicine, Nanyang Technological University Singapore, Clinical Sciences Building, 11 Mandalay Road, Singapore, 308232, Singapore
| | | | - Mei Suen Kong
- Lee Kong Chian School of Medicine, Nanyang Technological University Singapore, Clinical Sciences Building, 11 Mandalay Road, Singapore, 308232, Singapore
| | - Vanessa Shiyun Tay
- Lee Kong Chian School of Medicine, Nanyang Technological University Singapore, Clinical Sciences Building, 11 Mandalay Road, Singapore, 308232, Singapore
| | - Zhuang Yan
- Lee Kong Chian School of Medicine, Nanyang Technological University Singapore, Clinical Sciences Building, 11 Mandalay Road, Singapore, 308232, Singapore
| | - Jiapeng Chen
- Lee Kong Chian School of Medicine, Nanyang Technological University Singapore, Clinical Sciences Building, 11 Mandalay Road, Singapore, 308232, Singapore
| | - Aik Seng Ng
- Radcliffe Department of Medicine, John Radcliffe Hospital, University of Oxford, Oxford, OX3 9DU, UK
| | - Yun Sheng Yip
- Lee Kong Chian School of Medicine, Nanyang Technological University Singapore, Clinical Sciences Building, 11 Mandalay Road, Singapore, 308232, Singapore
| | - Marcus Ivan Gerard Vos
- Lee Kong Chian School of Medicine, Nanyang Technological University Singapore, Clinical Sciences Building, 11 Mandalay Road, Singapore, 308232, Singapore
| | - Nicole Ashley Tan
- School of Biological Sciences, Nanyang Technological University Singapore, 60 Nanyang Drive, Singapore, 637551, Singapore
| | - Dao Liang Lim
- School of Biological Sciences, Nanyang Technological University Singapore, 60 Nanyang Drive, Singapore, 637551, Singapore
| | - Debbie Xiu En Lim
- Lee Kong Chian School of Medicine, Nanyang Technological University Singapore, Clinical Sciences Building, 11 Mandalay Road, Singapore, 308232, Singapore
| | - Manesh Chittezhath
- Lee Kong Chian School of Medicine, Nanyang Technological University Singapore, Clinical Sciences Building, 11 Mandalay Road, Singapore, 308232, Singapore
| | - Jadegoud Yaligar
- Metabolic Imaging Group, Institute of Bioengineering and Bioimaging, Agency for Science Technology and Research (A*STAR), 11 Biopolis Way, Singapore, 138667, Singapore
- Singapore Institute for Clinical Sciences, A*STAR, 30 Medical Drive, Singapore, 117609, Singapore
| | - Sanjay Kumar Verma
- Metabolic Imaging Group, Institute of Bioengineering and Bioimaging, Agency for Science Technology and Research (A*STAR), 11 Biopolis Way, Singapore, 138667, Singapore
| | - Harish Poptani
- Centre for Preclinical Imaging, Institute of Systems, Molecular & Integrative Biology, University of Liverpool, Biosciences Building, Crown Street, Liverpool, L69 7BE, UK
| | - Xue Li Guan
- Lee Kong Chian School of Medicine, Nanyang Technological University Singapore, Clinical Sciences Building, 11 Mandalay Road, Singapore, 308232, Singapore
| | - Sambasivam Sendhil Velan
- Metabolic Imaging Group, Institute of Bioengineering and Bioimaging, Agency for Science Technology and Research (A*STAR), 11 Biopolis Way, Singapore, 138667, Singapore
- Division of Gastroenterology and Hepatology, Department of Medicine, National University Hospital, Singapore, 119074, Singapore
- Singapore Institute for Clinical Sciences, A*STAR, 30 Medical Drive, Singapore, 117609, Singapore
| | - Yusuf Ali
- Lee Kong Chian School of Medicine, Nanyang Technological University Singapore, Clinical Sciences Building, 11 Mandalay Road, Singapore, 308232, Singapore
- Singapore Eye Research Institute (SERI), Singapore General Hospital, Singapore, 168751, Singapore
| | - Liang Li
- Department of Pharmacology, School of Medicine, Southern University of Science and Technology, Shenzhen, 518055, China
| | - Nguan Soon Tan
- Lee Kong Chian School of Medicine, Nanyang Technological University Singapore, Clinical Sciences Building, 11 Mandalay Road, Singapore, 308232, Singapore
- School of Biological Sciences, Nanyang Technological University Singapore, 60 Nanyang Drive, Singapore, 637551, Singapore
| | - Walter Wahli
- Lee Kong Chian School of Medicine, Nanyang Technological University Singapore, Clinical Sciences Building, 11 Mandalay Road, Singapore, 308232, Singapore
- Institut national de recherche pour l'agriculture, l'alimentation et l'environnement (INRAE), Toxalim (Research Centre in Food Toxicology), 180 Chemin de Tournefeuille, Toulouse, 1331, France
- Center for Integrative Genomics, Université de Lausanne, Le Génopode, Lausanne, 1015, Switzerland
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Li D, Zhang Z, Zhang C, Guo Q, Chen C, Peng X. Unraveling the connection between Hashimoto's Thyroiditis and non-alcoholic fatty liver disease: exploring the role of CD4 +central memory T cells through integrated genetic approaches. Endocrine 2024; 85:751-765. [PMID: 38400881 DOI: 10.1007/s12020-024-03745-z] [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: 12/10/2023] [Accepted: 02/12/2024] [Indexed: 02/26/2024]
Abstract
PURPOSE Exploring the connection between Hashimoto's thyroiditis (HT) and non-alcoholic fatty liver disease (NAFLD) through integrated genetic approaches. METHODS We utilized integrated genetic approaches, such as single-cell RNA sequencing (scRNA-seq) data analysis, Mendelian Randomization (MR), colocalization analysis, cell communication, and metabolic analyses, to investigate potential correlations between HT and NAFLD. RESULTS Through the integrated analysis of scRNA-seq data from individuals with HT, NAFLD, and healthy controls, we observed an upregulation in the proportion of CD4+central memory (CD4+CM) T cells among T cells in both diseases. A total of 63 differentially expressed genes (DEGs) were identified in the CD4+CM cells after the differential analysis. By using MR, 8 DEGs (MAGI3, CSGALNACT1, CAMK4, GRIP1, TRAT1, IL7R, ERN1, and MB21D2) were identified to have a causal relationship with HT, and 4 DEGs (MAGI3, RCAN3, DOCK10, and SAMD12) had a causal relationship with NAFLD. MAGI3 was found to be causally linked to both HT and NAFLD. Therefore, MAGI3 was designated as the marker gene. Reverse MR and Steiger filtering showed no evidence of reverse causality. Colocalization analyses further indicated close links between MAGI3 and HT as well as NAFLD. Finally, based on the expression levels of MAGI3, we stratified CD4+CM cells into two subsets: MAGI3+CD4+CM cells and MAGI3-CD4+CM cells. Functional analyses revealed significant differences between the two subsets, potentially related to the progression of the two diseases. CONCLUSION This study delves into the potential connections between HT and NAFLD through integrated genetic methods. Our research reveals an elevated proportion of CD4+CM cells within T cells in both HT and NAFLD. Through MR and colocalization analysis, we identify specific genes causally linked to HT and NAFLD, such as MAGI3. Ultimately, based on MAGI3 expression levels, we categorize CD4+CM cells into MAGI3+CD4+CM cells and MAGI3-CD4+CM cells, uncovering significant differences between them through functional analyses.
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Affiliation(s)
- Dairui Li
- Department of Thyroid Surgery, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, 510120, China
| | - Zeji Zhang
- Department of Thyroid Surgery, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, 510120, China
| | - Cheng Zhang
- Department of Thyroid Surgery, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, 510120, China
| | - Qiannan Guo
- Department of Thyroid Surgery, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, 510120, China
| | - Chen Chen
- Department of Orthopedics, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, 510120, China
| | - Xinzhi Peng
- Department of Thyroid Surgery, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, 510120, China.
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Pezzino S, Luca T, Castorina M, Puleo S, Latteri S, Castorina S. Role of Perturbated Hemostasis in MASLD and Its Correlation with Adipokines. Life (Basel) 2024; 14:93. [PMID: 38255708 PMCID: PMC10820028 DOI: 10.3390/life14010093] [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: 11/30/2023] [Revised: 01/04/2024] [Accepted: 01/05/2024] [Indexed: 01/24/2024] Open
Abstract
The prevalence of metabolic dysfunction-associated steatotic liver disease (MASLD) continues to rise, making it one of the most prevalent chronic liver disorders. MASLD encompasses a range of liver pathologies, from simple steatosis to metabolic dysfunction-associated steatohepatitis (MASH) with inflammation, hepatocyte damage, and fibrosis. Interestingly, the liver exhibits close intercommunication with fatty tissue. In fact, adipose tissue could contribute to the etiology and advancement of MASLD, acting as an endocrine organ that releases several hormones and cytokines, with the adipokines assuming a pivotal role. The levels of adipokines in the blood are altered in people with MASLD, and recent research has shed light on the crucial role played by adipokines in regulating energy expenditure, inflammation, and fibrosis in MASLD. However, MASLD disease is a multifaceted condition that affects various aspects of health beyond liver function, including its impact on hemostasis. The alterations in coagulation mechanisms and endothelial and platelet functions may play a role in the increased vulnerability and severity of MASLD. Therefore, more attention is being given to imbalanced adipokines as causative agents in causing disturbances in hemostasis in MASLD. Metabolic inflammation and hepatic injury are fundamental components of MASLD, and the interrelation between these biological components and the hemostasis pathway is delineated by reciprocal influences, as well as the induction of alterations. Adipokines have the potential to serve as the shared elements within this complex interrelationship. The objective of this review is to thoroughly examine the existing scientific knowledge on the impairment of hemostasis in MASLD and its connection with adipokines, with the aim of enhancing our comprehension of the disease.
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Affiliation(s)
- Salvatore Pezzino
- Mediterranean Foundation “GB Morgagni”, 95125 Catania, Italy (M.C.); (S.C.)
| | - Tonia Luca
- Mediterranean Foundation “GB Morgagni”, 95125 Catania, Italy (M.C.); (S.C.)
- Department of Medical, Surgical Sciences and Advanced Technologies “G.F. Ingrassia”, University of Catania, 95123 Catania, Italy;
| | | | - Stefano Puleo
- Mediterranean Foundation “GB Morgagni”, 95125 Catania, Italy (M.C.); (S.C.)
| | - Saverio Latteri
- Department of Medical, Surgical Sciences and Advanced Technologies “G.F. Ingrassia”, University of Catania, 95123 Catania, Italy;
| | - Sergio Castorina
- Mediterranean Foundation “GB Morgagni”, 95125 Catania, Italy (M.C.); (S.C.)
- Department of Medical, Surgical Sciences and Advanced Technologies “G.F. Ingrassia”, University of Catania, 95123 Catania, Italy;
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