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Lundberg Båve A, von Seth E, Ingre M, Nordenvall C, Bergquist A. Autoimmune diseases in primary sclerosing cholangitis and their first-degree relatives. Hepatology 2024; 80:527-535. [PMID: 38441983 DOI: 10.1097/hep.0000000000000823] [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: 11/11/2023] [Accepted: 02/14/2024] [Indexed: 03/07/2024]
Abstract
BACKGROUND AND AIMS Primary sclerosing cholangitis (PSC) is linked to inflammatory bowel disease (IBD). However, there is limited overlap between IBD and PSC risk genes, but a stronger association between PSC and other autoimmune conditions. We aimed to assess the coexistence and familial association of autoimmune disorders in PSC, and the influence of autoimmune comorbidity on severe outcomes. APPROACH AND RESULTS In a matched cohort study, 1378 individuals with PSC and 13,549 general population comparators and their first-degree relatives were evaluated. National registries provided data on diagnoses and outcomes (liver transplantation, hepatobiliary cancer, and liver-related death). The OR of autoimmune disease was estimated by logistic regression. The Fine and Gray competing risk regression estimated HRs for severe outcomes. The prevalence of non-IBD, non-autoimmune hepatitis, and autoimmune disease was 18% in PSC and 11% in comparators, OR: 1.77 (95% CI: 1.53-2.05). Highest odds were seen for celiac disease [OR: 4.36 (95% CI: 2.44-7.49)], sarcoidosis [OR: 2.74 (95% CI: 1.29-5.33)], diabetes type 1 [OR: 2.91 (95% CI: 2.05-4.05)], and autoimmune skin disease [OR: 2.15 (95% CI: 1.52-2.96)]. First-degree relatives of individuals with PSC had higher odds of developing IBD, autoimmune hepatitis, and any autoimmune disease than relatives of the comparators [OR: 3.25 (95% CI: 2.68-3.91); OR: 5.94 (95% CI: 2.82-12.02); OR: 1.34 (95% CI: 1.19-1.50)]. Autoimmune comorbidity in PSC was not associated with poorer outcomes [HR: 0.96 (95% CI: 0.71-1.28)]. CONCLUSIONS Individuals with PSC and their first-degree relatives had higher odds of autoimmune disease compared to matched comparators. This finding provides validation for prior genetic discoveries at a phenotypic level. Autoimmune comorbidity did not impact severe outcomes.
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Affiliation(s)
- Aiva Lundberg Båve
- Department of Medicine Huddinge, Karolinska Institutet, Huddinge, Stockholm, Sweden
- Department of Upper GI Disease, Division of Hepatology, Karolinska University Hospital, Stockholm, Sweden
| | - Erik von Seth
- Department of Medicine Huddinge, Karolinska Institutet, Huddinge, Stockholm, Sweden
- Department of Upper GI Disease, Division of Hepatology, Karolinska University Hospital, Stockholm, Sweden
| | - Michael Ingre
- Department of Medicine Huddinge, Karolinska Institutet, Huddinge, Stockholm, Sweden
- Department of Upper GI Disease, Division of Hepatology, Karolinska University Hospital, Stockholm, Sweden
| | - Caroline Nordenvall
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden
- Department of Pelvic Cancer, Karolinska University Hospital, Stockholm, Sweden
| | - Annika Bergquist
- Department of Medicine Huddinge, Karolinska Institutet, Huddinge, Stockholm, Sweden
- Department of Upper GI Disease, Division of Hepatology, Karolinska University Hospital, Stockholm, Sweden
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Yamamoto Y, Shirai Y, Edahiro R, Kumanogoh A, Okada Y. Large-scale cross-trait genetic analysis highlights shared genetic backgrounds of autoimmune diseases. Immunol Med 2024:1-10. [PMID: 39171621 DOI: 10.1080/25785826.2024.2394258] [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: 06/25/2024] [Accepted: 08/15/2024] [Indexed: 08/23/2024] Open
Abstract
Disorders associated with the immune system burden multiple organs, although the shared biology exists across the diseases. Preceding family-based studies reveal that immune diseases are heritable to varying degrees, providing the basis for immunogenomics. The recent cost reduction in genetic analysis intensively promotes biobank-scale studies and the development of frameworks for statistical genetics. The accumulating multi-layer omics data, including genome-wide association studies (GWAS) and RNA-sequencing at single-cell resolution, enable us to dissect the genetic backgrounds of immune-related disorders. Although autoimmune and allergic diseases are generally categorized into different disease categories, epidemiological studies reveal the high incidence of autoimmune and allergic disease complications, suggesting the shared genetics and biology between the disease categories. Biobank resources and consortia cover multiple immune-related disorders to accumulate phenome-wide associations of genetic variants and enhance researchers to analyze the shared and heterogeneous genetic backgrounds. The emerging post-GWAS and integrative multi-omics analyses provide genetic and biological insights into the multicategorical disease associations.
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Affiliation(s)
- Yuji Yamamoto
- Department of Statistical Genetics, Osaka University Graduate School of Medicine, Suita, Japan
- Department of Respiratory Medicine and Clinical Immunology, Osaka University Graduate School of Medicine, Suita, Japan
| | - Yuya Shirai
- Department of Statistical Genetics, Osaka University Graduate School of Medicine, Suita, Japan
- Department of Respiratory Medicine and Clinical Immunology, Osaka University Graduate School of Medicine, Suita, Japan
- Laboratory of Statistical Immunology, Immunology Frontier Research Center (WPI-IFReC), Osaka University, Suita, Japan
- RIKEN Center for Integrative Medical Sciences, Laboratory for Systems Genetics, Yokohama, Japan
| | - Ryuya Edahiro
- Department of Statistical Genetics, Osaka University Graduate School of Medicine, Suita, Japan
- Department of Respiratory Medicine and Clinical Immunology, Osaka University Graduate School of Medicine, Suita, Japan
- RIKEN Center for Integrative Medical Sciences, Laboratory for Systems Genetics, Yokohama, Japan
| | - Atsushi Kumanogoh
- Department of Respiratory Medicine and Clinical Immunology, Osaka University Graduate School of Medicine, Suita, Japan
- Department of Immunopathology, Immunology Frontier Research Center (WPI-IFReC), Osaka University, Suita, Japan
- Integrated Frontier Research for Medical Science Division, Institute for Open and Transdisciplinary Research Initiatives (OTRI), Osaka University, Suita, Japan
- Center for Infectious Diseases for Education and Research (CiDER), Osaka University, Suita, Japan
- Japan Agency for Medical Research and Development, Core Research for Evolutional Science and Technology (AMED-CREST), Tokyo, Japan
- Center for Advanced Modalities and DDS (CAMaD), Osaka University, Suita, Japan
| | - Yukinori Okada
- Department of Statistical Genetics, Osaka University Graduate School of Medicine, Suita, Japan
- Laboratory of Statistical Immunology, Immunology Frontier Research Center (WPI-IFReC), Osaka University, Suita, Japan
- RIKEN Center for Integrative Medical Sciences, Laboratory for Systems Genetics, Yokohama, Japan
- Center for Infectious Diseases for Education and Research (CiDER), Osaka University, Suita, Japan
- Center for Advanced Modalities and DDS (CAMaD), Osaka University, Suita, Japan
- Department of Genome Informatics, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
- Premium Research Institute for Human Metaverse Medicine (WPI-PRIMe), Osaka University, Suita, Japan
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3
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Fiorucci S, Marchianò S, Urbani G, Di Giorgio C, Distrutti E, Zampella A, Biagioli M. Immunology of bile acids regulated receptors. Prog Lipid Res 2024; 95:101291. [PMID: 39122016 DOI: 10.1016/j.plipres.2024.101291] [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: 06/12/2024] [Revised: 07/30/2024] [Accepted: 08/02/2024] [Indexed: 08/12/2024]
Abstract
Bile acids are steroids formed at the interface of host metabolism and intestinal microbiota. While primary bile acids are generated in the liver from cholesterol metabolism, secondary bile acids represent the products of microbial enzymes. Close to 100 different enzymatic modifications of bile acids structures occur in the human intestine and clinically guided metagenomic and metabolomic analyses have led to the identification of an extraordinary number of novel metabolites. These chemical mediators make an essential contribution to the composition and function of the postbiota, participating to the bidirectional communications of the intestinal microbiota with the host and contributing to the architecture of intestinal-liver and -brain and -endocrine axes. Bile acids exert their function by binding to a group of cell membrane and nuclear receptors collectively known as bile acid-regulated receptors (BARRs), expressed in monocytes, tissue-resident macrophages, CD4+ T effector cells, including Th17, T regulatory cells, dendritic cells and type 3 of intestinal lymphoid cells and NKT cells, highlighting their role in immune regulation. In this review we report on how bile acids and their metabolitesmodulate the immune system in inflammations and cancers and could be exploiting for developing novel therapeutic approaches in these disorders.
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Affiliation(s)
- Stefano Fiorucci
- Dipartimento di Medicina e Chirurgia, Università di Perugia, Perugia, Italy.
| | - Silvia Marchianò
- Dipartimento di Medicina e Chirurgia, Università di Perugia, Perugia, Italy
| | - Ginevra Urbani
- Dipartimento di Medicina e Chirurgia, Università di Perugia, Perugia, Italy
| | | | - Eleonora Distrutti
- SC di Gastroenterologia ed Epatologia, Azienda Ospedaliera di Perugia, Perugia, Italy
| | - Angela Zampella
- Department of Pharmacy, University of Napoli Federico II, Napoli, Italy
| | - Michele Biagioli
- Dipartimento di Medicina e Chirurgia, Università di Perugia, Perugia, Italy
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4
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Zhao Z, Liu A, Citu C, Enduru N, Chen X, Manuel A, Sinha T, Gorski D, Fernandes B, Yu M, Schulz P, Simon L, Soto C. Single-nucleus multiomics reveals the disrupted regulatory programs in three brain regions of sporadic early-onset Alzheimer's disease. RESEARCH SQUARE 2024:rs.3.rs-4622123. [PMID: 39149497 PMCID: PMC11326379 DOI: 10.21203/rs.3.rs-4622123/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/17/2024]
Abstract
Sporadic early-onset Alzheimer's disease (sEOAD) represents a significant but less-studied subtype of Alzheimer's disease (AD). Here, we generated a single-nucleus multiome atlas derived from the postmortem prefrontal cortex, entorhinal cortex, and hippocampus of nine individuals with or without sEOAD. Comprehensive analyses were conducted to delineate cell type-specific transcriptomic changes and linked candidate cis-regulatory elements (cCREs) across brain regions. We prioritized seven conservative transcription factors in glial cells in multiple brain regions, including RFX4 in astrocytes and IKZF1 in microglia, which are implicated in regulating sEOAD-associated genes. Moreover, we identified the top 25 altered intercellular signaling between glial cells and neurons, highlighting their regulatory potential on gene expression in receiver cells. We reported 38 cCREs linked to sEOAD-associated genes overlapped with late-onset AD risk loci, and sEOAD cCREs enriched in neuropsychiatric disorder risk loci. This atlas helps dissect transcriptional and chromatin dynamics in sEOAD, providing a key resource for AD research.
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Affiliation(s)
- Zhongming Zhao
- Center for Precision Health, McWilliams School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston
- Faillace Department of Psychiatry and Behavioral Sciences, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA
| | - Andi Liu
- Center for Precision Health, McWilliams School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston
- Department of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA
| | - Citu Citu
- Center for Precision Health, McWilliams School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston
| | - Nitesh Enduru
- Center for Precision Health, McWilliams School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston
- Department of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA
| | - Xian Chen
- Center for Precision Health, McWilliams School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston
| | - Astrid Manuel
- Center for Precision Health, McWilliams School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston
| | - Tirthankar Sinha
- Mitchell Center for Alzheimer's Disease and Related Brain Disorders, Department of Neurology, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA
| | - Damian Gorski
- Mitchell Center for Alzheimer's Disease and Related Brain Disorders, Department of Neurology, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA
| | - Brisa Fernandes
- Center for Precision Health, McWilliams School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston
| | - Meifang Yu
- Center for Precision Health, McWilliams School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston
| | - Paul Schulz
- Department of Neurology, McGovern School of Medicine, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA
| | - Lukas Simon
- Therapeutic Innovation Center, Baylor College of Medicine, Houston, TX 77030, USA
| | - Claudio Soto
- Mitchell Center for Alzheimer's Disease and Related Brain Disorders, Department of Neurology, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA
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5
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Zhou J, Xu Y, Wang H, Liu Z. New target-HMGCR inhibitors for the treatment of primary sclerosing cholangitis: A drug Mendelian randomization study. Open Med (Wars) 2024; 19:20240994. [PMID: 39034950 PMCID: PMC11260000 DOI: 10.1515/med-2024-0994] [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: 01/23/2024] [Revised: 05/23/2024] [Accepted: 06/14/2024] [Indexed: 07/23/2024] Open
Abstract
Background No intervention definitively extends transplant-free survival in primary sclerosing cholangitis (PSC). Statins, inhibitors of 3-hydroxy-3-methylglutaryl coenzyme A reductase (HMGCR), may enhance PSC prognosis, but their efficacy is debated. Methods We analyzed HMGCR single-nucleotide polymorphisms from published genome-wide association studies using Mendelian randomization to assess the causal relationship between HMGCR and PSC risk. Effects of HMGCR were compared with proprotein convertase subtilisin kexin 9 (PCSK9) inhibitors, common lipid-lowering drugs, using coronary heart disease risk as a positive control. The inverse-variance weighted (IVW) method was the primary analysis, complemented by the weighted median method. Heterogeneity analysis, examination of horizontal pleiotropy, and leave-one-out sensitivity analysis were conducted for result robustness. Results Genetically predicted HMGCR exhibited a pronounced detrimental effect on PSC in both the IVW method (odds ratio [OR] [95%] = 2.43 [1.23-4.78], P = 0.010) and the weighted median method (OR [95%] = 2.36 [1.02-5.45], P = 0.044). However, PCSK9 did not reach statistical significance. Moreover, all analyses passed through heterogeneity analysis, horizontal pleiotropy analysis, and leave-one-out sensitivity analysis. Conclusion This study has confirmed a causal relationship between HMGCR and PSC risk, suggesting statins targeting HMGCR could enhance PSC patient outcomes.
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Affiliation(s)
- Jie Zhou
- Department of General Surgery, The Wujin Hospital Affiliated with Jiangsu University, Changzhou, Jiangsu Province, 213003, China
- Department of General Surgery, The Wujin Clinical College of Xuzhou Medical University,
Changzhou, 213003, China
| | - Yixin Xu
- Department of General Surgery, The Wujin Clinical College of Xuzhou Medical University,
Changzhou, 213003, China
- Department of General Surgery, The Wujin Hospital Affiliated with Jiangsu University, No. 2, Yongning North Road, Changzhou, Jiangsu Province, 213003, China
| | - Haitao Wang
- Department of General Surgery, The Third Affiliated Hospital of Soochow University,
Changzhou, 213003, China
| | - Zhilin Liu
- Department of General Surgery, The Third Affiliated Hospital of Soochow University,
Changzhou, 213003, China
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6
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Poch T, Bahn J, Casar C, Krause J, Evangelakos I, Gilladi H, Kunzmann LK, Laschtowitz A, Iuso N, Schäfer AM, Liebig LA, Steinmann S, Sebode M, Folseraas T, Engesæter LK, Karlsen TH, Franke A, Hubner N, Schlein C, Galun E, Huber S, Lohse AW, Gagliani N, Schwinge D, Schramm C. Intergenic risk variant rs56258221 skews the fate of naive CD4 + T cells via miR4464-BACH2 interplay in primary sclerosing cholangitis. Cell Rep Med 2024; 5:101620. [PMID: 38901430 PMCID: PMC11293351 DOI: 10.1016/j.xcrm.2024.101620] [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: 08/12/2023] [Revised: 04/16/2024] [Accepted: 05/27/2024] [Indexed: 06/22/2024]
Abstract
Primary sclerosing cholangitis (PSC) is an immune-mediated liver disease of unknown pathogenesis, with a high risk to develop cirrhosis and malignancies. Functional dysregulation of T cells and association with genetic polymorphisms in T cell-related genes were previously reported for PSC. Here, we genotyped a representative PSC cohort for several disease-associated risk loci and identified rs56258221 (BACH2/MIR4464) to correlate with not only the peripheral blood T cell immunophenotype but also the functional capacities of naive CD4+ T (CD4+ TN) cells in people with PSC. Mechanistically, rs56258221 leads to an increased expression of miR4464, in turn causing attenuated translation of BACH2, a major gatekeeper of T cell quiescence. Thereby, the fate of CD4+ TN is skewed toward polarization into pro-inflammatory subsets. Clinically, people with PSC carrying rs56258221 show signs of accelerated disease progression. The data presented here highlight the importance of assigning functional outcomes to disease-associated genetic polymorphisms as potential drivers of diseases.
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Affiliation(s)
- Tobias Poch
- I. Department of Medicine, University Medical Centre Hamburg-Eppendorf, 20246 Hamburg, Germany
| | - Jonas Bahn
- I. Department of Medicine, University Medical Centre Hamburg-Eppendorf, 20246 Hamburg, Germany
| | - Christian Casar
- I. Department of Medicine, University Medical Centre Hamburg-Eppendorf, 20246 Hamburg, Germany; Bioinformatics Core, University Medical Centre Hamburg-Eppendorf, 20246 Hamburg, Germany
| | - Jenny Krause
- I. Department of Medicine, University Medical Centre Hamburg-Eppendorf, 20246 Hamburg, Germany; European Reference Network for Hepatological Diseases (ERN RARE-LIVER), 20246 Hamburg, Germany
| | - Ioannis Evangelakos
- Institute of Human Genetics, University Medical Centre Hamburg-Eppendorf, 20246 Hamburg, Germany
| | - Hilla Gilladi
- The Goldyne-Savad Institute of Gene Therapy, Hadassah Hebrew University Hospital, Jerusalem 91120, Israel
| | - Lilly K Kunzmann
- I. Department of Medicine, University Medical Centre Hamburg-Eppendorf, 20246 Hamburg, Germany
| | - Alena Laschtowitz
- I. Department of Medicine, University Medical Centre Hamburg-Eppendorf, 20246 Hamburg, Germany; Department of Hepatology and Gastroenterology, Charité Universitätsmedizin Berlin, 13353 Berlin, Germany
| | - Nicola Iuso
- I. Department of Medicine, University Medical Centre Hamburg-Eppendorf, 20246 Hamburg, Germany
| | - Anne-Marie Schäfer
- I. Department of Medicine, University Medical Centre Hamburg-Eppendorf, 20246 Hamburg, Germany
| | - Laura A Liebig
- I. Department of Medicine, University Medical Centre Hamburg-Eppendorf, 20246 Hamburg, Germany; Cardiovascular and Metabolic Sciences, Max Delbrück Centre for Molecular Medicine in the Helmholtz Association (MDC), 13125 Berlin, Germany
| | - Silja Steinmann
- I. Department of Medicine, University Medical Centre Hamburg-Eppendorf, 20246 Hamburg, Germany; European Reference Network for Hepatological Diseases (ERN RARE-LIVER), 20246 Hamburg, Germany
| | - Marcial Sebode
- I. Department of Medicine, University Medical Centre Hamburg-Eppendorf, 20246 Hamburg, Germany; European Reference Network for Hepatological Diseases (ERN RARE-LIVER), 20246 Hamburg, Germany
| | - Trine Folseraas
- European Reference Network for Hepatological Diseases (ERN RARE-LIVER), 20246 Hamburg, Germany; Norwegian PSC Research Centre, Department of Transplantation Medicine, Oslo University Hospital Rikshospitalet, 0372 Oslo, Norway; Research Institute of Internal Medicine, Oslo University Hospital Rikshospitalet, 0372 Oslo, Norway
| | - Lise K Engesæter
- European Reference Network for Hepatological Diseases (ERN RARE-LIVER), 20246 Hamburg, Germany; Norwegian PSC Research Centre, Department of Transplantation Medicine, Oslo University Hospital Rikshospitalet, 0372 Oslo, Norway; Research Institute of Internal Medicine, Oslo University Hospital Rikshospitalet, 0372 Oslo, Norway
| | - Tom H Karlsen
- European Reference Network for Hepatological Diseases (ERN RARE-LIVER), 20246 Hamburg, Germany; Norwegian PSC Research Centre, Department of Transplantation Medicine, Oslo University Hospital Rikshospitalet, 0372 Oslo, Norway; Research Institute of Internal Medicine, Oslo University Hospital Rikshospitalet, 0372 Oslo, Norway
| | - Andre Franke
- Institute of Clinical Molecular Biology, Christian-Albrechts-University of Kiel, 24105 Kiel, Germany
| | - Norbert Hubner
- Cardiovascular and Metabolic Sciences, Max Delbrück Centre for Molecular Medicine in the Helmholtz Association (MDC), 13125 Berlin, Germany; DZHK (German Centre for Cardiovascular Research), Partner Site Berlin, 10785 Berlin, Germany; Charité-Universitätsmedizin Berlin, 10117 Berlin, Germany
| | - Christian Schlein
- Institute of Human Genetics, University Medical Centre Hamburg-Eppendorf, 20246 Hamburg, Germany
| | - Eithan Galun
- The Goldyne-Savad Institute of Gene Therapy, Hadassah Hebrew University Hospital, Jerusalem 91120, Israel
| | - Samuel Huber
- I. Department of Medicine, University Medical Centre Hamburg-Eppendorf, 20246 Hamburg, Germany; European Reference Network for Hepatological Diseases (ERN RARE-LIVER), 20246 Hamburg, Germany; Hamburg Centre for Translational Immunology, University Medical Centre Hamburg-Eppendorf, 20246 Hamburg, Germany
| | - Ansgar W Lohse
- I. Department of Medicine, University Medical Centre Hamburg-Eppendorf, 20246 Hamburg, Germany; European Reference Network for Hepatological Diseases (ERN RARE-LIVER), 20246 Hamburg, Germany; Hamburg Centre for Translational Immunology, University Medical Centre Hamburg-Eppendorf, 20246 Hamburg, Germany
| | - Nicola Gagliani
- I. Department of Medicine, University Medical Centre Hamburg-Eppendorf, 20246 Hamburg, Germany; Hamburg Centre for Translational Immunology, University Medical Centre Hamburg-Eppendorf, 20246 Hamburg, Germany; Department for General, Visceral and Thoracic Surgery, University Medical Centre Hamburg-Eppendorf, 20246 Hamburg, Germany; Immunology and Allergy Unit, Department of Medicine Solna, Karolinska Institute, 17177 Solna, Sweden
| | - Dorothee Schwinge
- I. Department of Medicine, University Medical Centre Hamburg-Eppendorf, 20246 Hamburg, Germany
| | - Christoph Schramm
- I. Department of Medicine, University Medical Centre Hamburg-Eppendorf, 20246 Hamburg, Germany; European Reference Network for Hepatological Diseases (ERN RARE-LIVER), 20246 Hamburg, Germany; Hamburg Centre for Translational Immunology, University Medical Centre Hamburg-Eppendorf, 20246 Hamburg, Germany; Martin Zeitz Centre for Rare Diseases, University Medical Centre Hamburg-Eppendorf, 20246 Hamburg, Germany.
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7
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Bedke T, Stumme F, Tomczak M, Steglich B, Jia R, Bohmann S, Wittek A, Kempski J, Göke E, Böttcher M, Reher D, Franke A, Lennartz M, Clauditz T, Sauter G, Fründt T, Weidemann S, Tiegs G, Schramm C, Gagliani N, Pelczar P, Huber S. Protective function of sclerosing cholangitis on IBD. Gut 2024; 73:1292-1301. [PMID: 38839272 PMCID: PMC11287650 DOI: 10.1136/gutjnl-2023-330856] [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: 08/04/2023] [Accepted: 05/09/2024] [Indexed: 06/07/2024]
Abstract
OBJECTIVE There is a strong clinical association between IBD and primary sclerosing cholangitis (PSC), a chronic disease of the liver characterised by biliary inflammation that leads to strictures and fibrosis. Approximately 60%-80% of people with PSC will also develop IBD (PSC-IBD). One hypothesis explaining this association would be that PSC drives IBD. Therefore, our aim was to test this hypothesis and to decipher the underlying mechanism. DESIGN Colitis severity was analysed in experimental mouse models of colitis and sclerosing cholangitis, and people with IBD and PSC-IBD. Foxp3+ Treg-cell infiltration was assessed by qPCR and flow cytometry. Microbiota profiling was carried out from faecal samples of people with IBD, PSC-IBD and mouse models recapitulating these diseases. Faecal microbiota samples collected from people with IBD and PSC-IBD were transplanted into germ-free mice followed by colitis induction. RESULTS We show that sclerosing cholangitis attenuated IBD in mouse models. Mechanistically, sclerosing cholangitis causes an altered intestinal microbiota composition, which promotes Foxp3+ Treg-cell expansion, and thereby protects against IBD. Accordingly, sclerosing cholangitis promotes IBD in the absence of Foxp3+ Treg cells. Furthermore, people with PSC-IBD have an increased Foxp3+ expression in the colon and an overall milder IBD severity. Finally, by transplanting faecal microbiota into gnotobiotic mice, we showed that the intestinal microbiota of people with PSC protects against colitis. CONCLUSION This study shows that PSC attenuates IBD and provides a comprehensive insight into the mechanisms involved in this effect.
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Affiliation(s)
- Tanja Bedke
- I. Department of Medicine, Section of Molecular Immunology and Gastroenterology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
- Hamburg Center for Translational Immunology (HCTI), University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Friederike Stumme
- I. Department of Medicine, Section of Molecular Immunology and Gastroenterology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
- Hamburg Center for Translational Immunology (HCTI), University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Miriam Tomczak
- I. Department of Medicine, Section of Molecular Immunology and Gastroenterology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
- Hamburg Center for Translational Immunology (HCTI), University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Babett Steglich
- I. Department of Medicine, Section of Molecular Immunology and Gastroenterology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
- Hamburg Center for Translational Immunology (HCTI), University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Rongrong Jia
- I. Department of Medicine, Section of Molecular Immunology and Gastroenterology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
- Hamburg Center for Translational Immunology (HCTI), University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Simon Bohmann
- I. Department of Medicine, Section of Molecular Immunology and Gastroenterology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Agnes Wittek
- I. Department of Medicine, Section of Molecular Immunology and Gastroenterology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Jan Kempski
- I. Department of Medicine, Section of Molecular Immunology and Gastroenterology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
- Hamburg Center for Translational Immunology (HCTI), University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Emilia Göke
- I. Department of Medicine, Section of Molecular Immunology and Gastroenterology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
- Hamburg Center for Translational Immunology (HCTI), University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Marius Böttcher
- I. Department of Medicine, Section of Molecular Immunology and Gastroenterology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
- Hamburg Center for Translational Immunology (HCTI), University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Dominik Reher
- I. Department of Medicine, Section of Molecular Immunology and Gastroenterology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Anissa Franke
- I. Department of Medicine, Section of Molecular Immunology and Gastroenterology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
- Hamburg Center for Translational Immunology (HCTI), University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Maximilian Lennartz
- Center of Diagnostics, Institute of Pathology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
- Institute of Pathology with the Section Molecular Pathology and Cytopathology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Till Clauditz
- Center of Diagnostics, Institute of Pathology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
- Institute of Pathology with the Section Molecular Pathology and Cytopathology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Guido Sauter
- Center of Diagnostics, Institute of Pathology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
- Institute of Pathology with the Section Molecular Pathology and Cytopathology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Thorben Fründt
- I.Department of Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Sören Weidemann
- Center of Diagnostics, Institute of Pathology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Gisa Tiegs
- Center for Experimental Medicine, Institute of Experimental Immunology and Hepatology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Christoph Schramm
- Hamburg Center for Translational Immunology (HCTI), University Medical Center Hamburg-Eppendorf, Hamburg, Germany
- I.Department of Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
- Martin Zeitz Center for Rare Diseases, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Nicola Gagliani
- I. Department of Medicine, Section of Molecular Immunology and Gastroenterology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
- Hamburg Center for Translational Immunology (HCTI), University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Penelope Pelczar
- I. Department of Medicine, Section of Molecular Immunology and Gastroenterology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
- Hamburg Center for Translational Immunology (HCTI), University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Samuel Huber
- I. Department of Medicine, Section of Molecular Immunology and Gastroenterology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
- Hamburg Center for Translational Immunology (HCTI), University Medical Center Hamburg-Eppendorf, Hamburg, Germany
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Chen X, Cheng Z, Xu J, Wang Q, Zhao Z, Jiang Q. Causal effects of autoimmune diseases on temporomandibular disorders and the mediating pathways: a Mendelian randomization study. Front Immunol 2024; 15:1390516. [PMID: 39044823 PMCID: PMC11263080 DOI: 10.3389/fimmu.2024.1390516] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2024] [Accepted: 06/28/2024] [Indexed: 07/25/2024] Open
Abstract
Background The role of autoimmune diseases (ADs) in temporomandibular disorders (TMDs) has been emphasized in observational studies. However, whether the causation exists is unclear, and controversy remains about which specific disorder is destructive in TMDs. This Mendelian randomization (MR) study aims to estimate the causal effect of common ADs on TMDs. Methods Genetic data from published genome-wide association studies for fourteen common ADs, specifically multiple sclerosis (MS, N = 15,283), ankylosing spondylitis (AS, N = 22,647), asthma (N = 408,422), celiac disease (N = 15,283), Graves' disease (N = 458,620), Hashimoto thyroiditis (N = 395,640), primary biliary cirrhosis (PBC, N = 11,375), primary sclerosing cholangitis (PSC, N = 14,890), psoriasis vulgaris (N = 483,174), rheumatoid arthritis (RA, N = 417,256), systemic lupus erythematosus (SLE, N = 23,210), Type 1 diabetes (T1D, N = 520,580), inflammatory bowel disease (IBD, N = 34,652), and Sjogren's syndrome (SS, N = 407,746) were collected. Additionally, the latest summary-level data for TMDs (N = 228,812) were extracted from the FinnGen database. The overall effects of each immune traits were assessed via inverse-variance weighted (IVW), weighted median, and MR-Egger methods, and performed extensive sensitivity analyses. Finally, 731 immune cell phenotypes (N = 3,757) were analyzed for their mediating role in the significant causality. Results Univariable MR analyses revealed that genetically predicted RA (IVW OR: 1.12, 95% CI: 1.05-1.19, p < 0.001) and MS (IVW OR: 1.06, 95% CI: 1.03-1.10, p = 0.001) were associated with increased risk of TMDs. Two out of 731 immune cell phenotypes were identified as causal mediators in the associations of RA with TMDs, including "CD25++ CD8+ T cell % CD8+ T cell" (mediation proportion: 6.2%) and "CD3 on activated CD4 regulatory T cell" (5.4%). Additionally, "CD127 on granulocyte" mediated 10.6% of the total effect of MS on TMDs. No reverse directions, heterogeneity, and pleiotropy were detected in the analyses (p > 0.05). Conclusion This MR study provides new evidence regarding the causal impact of genetic predisposition to RA or MS on the increased risk of TMDs, potentially mediated by the modulation of immune cells. These findings highlight the importance for clinicians to pay more attention to patients with RA or MS when consulting for temporomandibular discomfort. The mediating role of specific immune cells is proposed but needs further investigation.
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Affiliation(s)
- Xin Chen
- Department of Oral and Maxillofacial Surgery, Jiangyin People’s Hospital Affiliated to Nantong University, Jiangyin, China
| | - Zheng Cheng
- Department of Oral and Maxillofacial Surgery, Jiangyin People’s Hospital Affiliated to Nantong University, Jiangyin, China
| | - Junyu Xu
- Department of Oral and Maxillofacial Surgery, Jiangyin People’s Hospital Affiliated to Nantong University, Jiangyin, China
| | - Qianyi Wang
- Department of Cardiology, Jiangyin People’s Hospital Affiliated to Nantong University, Jiangyin, China
| | - Zhibai Zhao
- Department of Oral Mucosal Diseases, The Affiliated Stomatological Hospital of Nanjing Medical University, Nanjing, China
| | - Qianglin Jiang
- Department of Oral and Maxillofacial Surgery, Jiangyin People’s Hospital Affiliated to Nantong University, Jiangyin, China
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Wei Z, Liu Y, Xiong Q, Mei X, Li J, Wu Z. Causality of metabolites and metabolic pathways on cholestatic liver diseases: a Mendelian randomization study. Front Med (Lausanne) 2024; 11:1395526. [PMID: 39015781 PMCID: PMC11250271 DOI: 10.3389/fmed.2024.1395526] [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: 03/04/2024] [Accepted: 06/17/2024] [Indexed: 07/18/2024] Open
Abstract
Background and Aims Blood metabolite abnormalities have revealed an association with cholestatic liver diseases (CLDs), while the underlying metabolic mechanisms have remained sluggish yet. Accordingly, the present evaluation aims to investigate the causal relationship between blood metabolites and the risk of two major CLDs, including primary biliary cholangitis (PBC) and primary sclerosing cholangitis (PSC). Methods Univariable and multivariable Mendelian randomization (MR) approaches were employed to uncover potential causal associations between blood metabolites and 2 CLDs, including PBS and PSC, through extracting instrumental variables (IVs) for metabolites from genome-wide association studies (GWAS) conducted on European individuals. The GWAS summary data of PBC or PSC were sourced from two distinct datasets. The initial analysis employed inverse variance weighted (IVW) and an array of sensitivity analyses, followed by replication and meta-analysis utilizing FinnGen consortium data. Finally, a multivariable MR analysis was carried out to ascertain the independent effects of each metabolite. Furthermore, the web-based tool MetaboAnalyst 5.0 was used to perform metabolic pathway examination. Results A genetic causality between 15 metabolites and CLDs was recognized after preliminary analysis and false discovery rate (FDR) correction. Subsequently, 9 metabolites consistently represented an association through replication and meta-analysis. Additionally, the independent causal effects of 7 metabolites were corroborated by multivariable MR analysis. Specifically, the metabolites isovalerylcarnitine (odds ratio [OR] = 3.146, 95% confidence intervals [CI]: 1.471-6.726, p = 0.003), valine (OR = 192.44, 95%CI: 4.949-7483.27, p = 0.005), and mannose (OR = 0.184, 95%CI: 0.068-0.499, p < 0.001) were found to have a causal relationship with the occurrence of PBC. Furthermore, erythrose (OR = 5.504, 95%CI: 1.801-16.821, p = 0.003), 1-stearoylglycerophosphocholine (OR = 6.753, 95%CI: 2.621-17.399, p = 7.64 × 10-5), X-11847 (OR = 0.478, 95%CI: 0.352-0.650, p = 2.28 × 10-6), and X-12405 (OR = 3.765, 95%CI: 1.771-8.005, p = 5.71 × 10-4) were independently associated with the occurrence of PSC. Furthermore, the analysis of metabolic pathways identified seven significant pathways in two CLDs. Conclusion The findings of the present study have unveiled robust causal relationships between 7 metabolites and 2 CLDs, thereby providing novel insights into the metabolic mechanisms and therapeutic strategies for these disorders.
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Affiliation(s)
- Zhengxiao Wei
- Department of Clinical Laboratory, Public Health Clinical Center of Chengdu, Chengdu, China
| | - Yingfen Liu
- Department of Clinical Laboratory, Public Health Clinical Center of Chengdu, Chengdu, China
| | - Qingqing Xiong
- Department of Science and Education Division, Public Health Clinical Center of Chengdu, Chengdu, China
| | - Xue Mei
- Department of Infectious Diseases, Public Health Clinical Center of Chengdu, Chengdu, China
| | - Jinghong Li
- Department of Infectious Diseases, Public Health Clinical Center of Chengdu, Chengdu, China
| | - Zhangjun Wu
- Department of Clinical Laboratory, Public Health Clinical Center of Chengdu, Chengdu, China
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10
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Wu P, Xie S, Cai Y, Liu H, Lv Y, Yang Y, He Y, Yin B, Lan T, Wu H. Causality of immune cells on primary sclerosing cholangitis: a bidirectional two-sample Mendelian randomization study. Front Immunol 2024; 15:1395513. [PMID: 39011035 PMCID: PMC11246896 DOI: 10.3389/fimmu.2024.1395513] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2024] [Accepted: 06/04/2024] [Indexed: 07/17/2024] Open
Abstract
Background Observational studies have indicated that immune dysregulation in primary sclerosing cholangitis (PSC) primarily involves intestinal-derived immune cells. However, the causal relationship between peripheral blood immune cells and PSC remains insufficiently understood. Methods A bidirectional two-sample Mendelian randomization (MR) analysis was implemented to determine the causal effect between PBC and 731 immune cells. All datasets were extracted from a publicly available genetic database. The standard inverse variance weighted (IVW) method was selected as the main method for the causality analysis. Cochran's Q statistics and MR-Egger intercept were performed to evaluate heterogeneity and pleiotropy. Results In forward MR analysis, the expression ratios of CD11c on CD62L+ myeloid DC (OR = 1.136, 95% CI = 1.032-1.250, p = 0.009) and CD62L-myeloid DC AC (OR = 1.267, 95% CI = 1.086-1.477, p = 0.003) were correlated with a higher risk of PSC. Each one standard deviation increase of CD28 on resting regulatory T cells (Treg) (OR = 0.724, 95% CI = 0.630-0.833, p < 0.001) and CD3 on secreting Treg (OR = 0.893, 95% CI = 0.823-0.969, p = 0.007) negatively associated with the risk of PSC. In reverse MR analysis, PSC was identified with a genetic causal effect on EM CD8+ T cell AC, CD8+ T cell AC, CD28- CD127- CD25++ CD8+ T cell AC, CD28- CD25++ CD8+ T cell AC, CD28- CD8+ T cell/CD8+ T cell, CD28- CD8+ T cell AC, and CD45 RA- CD28- CD8+ T cell AC. Conclusion Our study indicated the evidence of causal effects between PSC and immune cells, which may provide a potential foundation for future diagnosis and treatment of PSC.
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Affiliation(s)
- Pu Wu
- Department of General Surgery, West China Hospital, Sichuan University, Chengdu, China
- Liver Transplant Center, Transplant Center, West China Hospital, Sichuan University, Chengdu, China
- Laboratory of Hepatic AI Translation, Frontiers Science Center for Disease-Related Molecular Network, West China Hospital, Sichuan University, Chengdu, China
| | - Sinan Xie
- Department of General Surgery, West China Hospital, Sichuan University, Chengdu, China
- Liver Transplant Center, Transplant Center, West China Hospital, Sichuan University, Chengdu, China
- Laboratory of Hepatic AI Translation, Frontiers Science Center for Disease-Related Molecular Network, West China Hospital, Sichuan University, Chengdu, China
| | - Yunshi Cai
- Department of General Surgery, West China Hospital, Sichuan University, Chengdu, China
- Liver Transplant Center, Transplant Center, West China Hospital, Sichuan University, Chengdu, China
- Laboratory of Hepatic AI Translation, Frontiers Science Center for Disease-Related Molecular Network, West China Hospital, Sichuan University, Chengdu, China
| | - Hu Liu
- Department of General Surgery, West China Hospital, Sichuan University, Chengdu, China
- Liver Transplant Center, Transplant Center, West China Hospital, Sichuan University, Chengdu, China
- Laboratory of Hepatic AI Translation, Frontiers Science Center for Disease-Related Molecular Network, West China Hospital, Sichuan University, Chengdu, China
| | - Yinghao Lv
- Department of General Surgery, West China Hospital, Sichuan University, Chengdu, China
- Liver Transplant Center, Transplant Center, West China Hospital, Sichuan University, Chengdu, China
- Laboratory of Hepatic AI Translation, Frontiers Science Center for Disease-Related Molecular Network, West China Hospital, Sichuan University, Chengdu, China
| | - Ying Yang
- Department of General Surgery, West China Hospital, Sichuan University, Chengdu, China
- Liver Transplant Center, Transplant Center, West China Hospital, Sichuan University, Chengdu, China
- Laboratory of Hepatic AI Translation, Frontiers Science Center for Disease-Related Molecular Network, West China Hospital, Sichuan University, Chengdu, China
| | - Yucheng He
- Department of General Surgery, West China Hospital, Sichuan University, Chengdu, China
- Liver Transplant Center, Transplant Center, West China Hospital, Sichuan University, Chengdu, China
- Laboratory of Hepatic AI Translation, Frontiers Science Center for Disease-Related Molecular Network, West China Hospital, Sichuan University, Chengdu, China
| | - Bangjie Yin
- Department of General Surgery, West China Hospital, Sichuan University, Chengdu, China
- Liver Transplant Center, Transplant Center, West China Hospital, Sichuan University, Chengdu, China
- Laboratory of Hepatic AI Translation, Frontiers Science Center for Disease-Related Molecular Network, West China Hospital, Sichuan University, Chengdu, China
| | - Tian Lan
- Department of General Surgery, West China Hospital, Sichuan University, Chengdu, China
- Liver Transplant Center, Transplant Center, West China Hospital, Sichuan University, Chengdu, China
- Laboratory of Hepatic AI Translation, Frontiers Science Center for Disease-Related Molecular Network, West China Hospital, Sichuan University, Chengdu, China
| | - Hong Wu
- Department of General Surgery, West China Hospital, Sichuan University, Chengdu, China
- Liver Transplant Center, Transplant Center, West China Hospital, Sichuan University, Chengdu, China
- Laboratory of Hepatic AI Translation, Frontiers Science Center for Disease-Related Molecular Network, West China Hospital, Sichuan University, Chengdu, China
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Khrom M, Long M, Dube S, Robbins L, Botwin GJ, Yang S, Mengesha E, Li D, Naito T, Bonthala NN, Ha C, Melmed G, Rabizadeh S, Syal G, Vasiliauskas E, Ziring D, Brant SR, Cho J, Duerr RH, Rioux J, Schumm P, Silverberg M, Ananthakrishnan AN, Faubion WA, Jabri B, Lira SA, Newberry RD, Sandler RS, Xavier RJ, Kugathasan S, Hercules D, Targan SR, Sartor RB, Haritunians T, McGovern DPB. Comprehensive Association Analyses of Extraintestinal Manifestations in Inflammatory Bowel Disease. Gastroenterology 2024; 167:315-332. [PMID: 38490347 PMCID: PMC11193636 DOI: 10.1053/j.gastro.2024.02.026] [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: 07/16/2022] [Revised: 02/11/2024] [Accepted: 02/13/2024] [Indexed: 03/17/2024]
Abstract
BACKGROUND & AIMS Patients with inflammatory bowel disease (IBD) frequently develop extraintestinal manifestations (EIMs) that contribute substantially to morbidity. We assembled the largest multicohort data set to date to investigate the clinical, serologic, and genetic factors associated with EIM complications in IBD. METHODS Data were available in 12,083 unrelated European ancestry IBD cases with presence or absence of EIMs (eg, ankylosing spondylitis [ankylosing spondylitis and sacroiliitis], primary sclerosing cholangitis [PSC], peripheral arthritis, and skin and ocular manifestations) across 4 cohorts (Cedars-Sinai Medical Center, National Institute for Diabetes and Digestive and Kidney Diseases IBD Genetics Consortium, Sinai Helmsley Alliance for Research Excellence Consortium, and Risk Stratification and Identification of Immunogenetic and Microbial Markers of Rapid Disease Progression in Children with Crohn's Disease cohort). Clinical and serologic parameters were analyzed by means of univariable and multivariable regression analyses using a mixed-effects model. Within-case logistic regression was performed to assess genetic associations. RESULTS Most EIMs occurred more commonly in female subjects (overall EIM: P = 9.0E-05, odds ratio [OR], 1.2; 95% CI, 1.1-1.4), with CD (especially colonic disease location; P = 9.8E-09, OR, 1.7; 95% CI, 1.4-2.0), and in subjects who required surgery (both CD and UC; P = 3.6E-19, OR, 1.7; 95% CI, 1.5-1.9). Smoking increased risk of EIMs except for PSC, where there was a "protective" effect. Multiple serologic associations were observed, including with PSC (anti-nuclear cytoplasmic antibody; IgG and IgA, anti-Saccharomyces cerevisiae antibodies; and anti-flagellin) and any EIM (anti-nuclear cytoplasmic antibody; IgG and IgA, anti-Saccharomyces cerevisiae antibodies; and anti-Pseudomonas fluorescens-associated sequence). We identified genome-wide significant associations within major histocompatibility complex (ankylosing spondylitis and sacroiliitis, P = 1.4E-15; OR, 2.5; 95% CI, 2.0-3.1; PSC, P = 2.7E-10; OR, 2.8; 95% CI, 2.0-3.8; ocular, P = 2E-08, OR, 3.6; 95% CI, 2.3-5.6; and overall EIM, P = 8.4E-09; OR, 2.2; 95% CI, 1.7-2.9) and CPEB4 (skin, P = 2.7E-08; OR, 1.5; 95% CI, 1.3-1.8). Genetic associations implicated tumor necrosis factor, JAK-STAT, and IL6 as potential targets for EIMs. Contrary to previous reports, only 2% of our subjects had multiple EIMs and most co-occurrences were negatively correlated. CONCLUSIONS We have identified demographic, clinical, and genetic associations with EIMs that revealed underlying mechanisms and implicated novel and existing drug targets-important steps toward a more personalized approach to IBD management.
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MESH Headings
- Humans
- Female
- Male
- Adult
- Cholangitis, Sclerosing/immunology
- Cholangitis, Sclerosing/genetics
- Cholangitis, Sclerosing/diagnosis
- Cholangitis, Sclerosing/complications
- Middle Aged
- Colitis, Ulcerative/immunology
- Colitis, Ulcerative/genetics
- Colitis, Ulcerative/diagnosis
- Crohn Disease/immunology
- Crohn Disease/genetics
- Crohn Disease/diagnosis
- Adolescent
- Risk Factors
- Child
- Spondylitis, Ankylosing/genetics
- Spondylitis, Ankylosing/immunology
- Spondylitis, Ankylosing/diagnosis
- Spondylitis, Ankylosing/complications
- Genetic Predisposition to Disease
- Young Adult
- Sex Factors
- Skin Diseases/etiology
- Skin Diseases/immunology
- Skin Diseases/genetics
- Eye Diseases/etiology
- Eye Diseases/immunology
- Eye Diseases/diagnosis
- Eye Diseases/genetics
- Eye Diseases/epidemiology
- Phenotype
- Inflammatory Bowel Diseases/genetics
- Inflammatory Bowel Diseases/immunology
- Inflammatory Bowel Diseases/diagnosis
- Logistic Models
- Aged
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Affiliation(s)
- Michelle Khrom
- F. Widjaja Inflammatory Bowel Disease Institute, Cedars-Sinai Medical Center, Los Angeles, California
| | - Millie Long
- Center for Gastrointestinal Biology and Disease, University of North Carolina, Chapel Hill, North Carolina
| | - Shishir Dube
- F. Widjaja Inflammatory Bowel Disease Institute, Cedars-Sinai Medical Center, Los Angeles, California
| | - Lori Robbins
- Palmetto Digestive Health Specialists, Charleston, South Carolina
| | - Gregory J Botwin
- F. Widjaja Inflammatory Bowel Disease Institute, Cedars-Sinai Medical Center, Los Angeles, California
| | - Shaohong Yang
- F. Widjaja Inflammatory Bowel Disease Institute, Cedars-Sinai Medical Center, Los Angeles, California
| | - Emebet Mengesha
- F. Widjaja Inflammatory Bowel Disease Institute, Cedars-Sinai Medical Center, Los Angeles, California
| | - Dalin Li
- F. Widjaja Inflammatory Bowel Disease Institute, Cedars-Sinai Medical Center, Los Angeles, California
| | - Takeo Naito
- F. Widjaja Inflammatory Bowel Disease Institute, Cedars-Sinai Medical Center, Los Angeles, California
| | - Nirupama N Bonthala
- F. Widjaja Inflammatory Bowel Disease Institute, Cedars-Sinai Medical Center, Los Angeles, California
| | - Christina Ha
- Inflammatory Bowel Disease Center, Cedars-Sinai Medical Center, Los Angeles, California
| | - Gil Melmed
- Inflammatory Bowel Disease Center, Cedars-Sinai Medical Center, Los Angeles, California
| | - Shervin Rabizadeh
- Department of Pediatrics, Pediatric Inflammatory Bowel Disease Program, Cedars-Sinai Medical Center, Los Angeles, California
| | - Gaurav Syal
- Inflammatory Bowel Disease Center, Cedars-Sinai Medical Center, Los Angeles, California
| | - Eric Vasiliauskas
- Inflammatory Bowel Disease Center, Cedars-Sinai Medical Center, Los Angeles, California
| | - David Ziring
- Inflammatory Bowel Disease Center, Cedars-Sinai Medical Center, Los Angeles, California
| | - Steven R Brant
- Division of Gastroenterology and Hepatology, Department of Medicine, Rutgers Robert Wood Johnson Medical School, New Brunswick, New Jersey
| | - Judy Cho
- Icahn School of Medicine at Mount Sinai, Dr Henry D. Janowitz Division of Gastroenterology, New York, New York
| | - Richard H Duerr
- Division of Gastroenterology, Hepatology and Nutrition, Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - John Rioux
- Department of Medicine, Université de Montréal and Research Center, Montreal Heart Institute, Montréal, Québec, Canada
| | - Phil Schumm
- Department of Public Health Sciences, University of Chicago, Chicago, Illinois
| | - Mark Silverberg
- University of Toronto, Samuel Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, Toronto, Ontario, Canada
| | | | | | - Bana Jabri
- University of Chicago, Pritzker School of Medicine, Chicago, Illinois
| | - Sergio A Lira
- Immunology Institute, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Rodney D Newberry
- Department of Internal Medicine, Washington University School of Medicine, St. Louis, Missouri
| | - Robert S Sandler
- Center for Gastrointestinal Biology and Disease, University of North Carolina, Chapel Hill, North Carolina
| | - Ramnik J Xavier
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts
| | - Subra Kugathasan
- Children's Healthcare of Atlanta Combined Center for Pediatric Inflammatory Bowel Disease, Atlanta, Georgia; Emory School of Medicine, Atlanta, Georgia
| | | | - Stephan R Targan
- F. Widjaja Inflammatory Bowel Disease Institute, Cedars-Sinai Medical Center, Los Angeles, California
| | - R Balfour Sartor
- Center for Gastrointestinal Biology and Disease, University of North Carolina, Chapel Hill, North Carolina
| | - Talin Haritunians
- F. Widjaja Inflammatory Bowel Disease Institute, Cedars-Sinai Medical Center, Los Angeles, California
| | - Dermot P B McGovern
- F. Widjaja Inflammatory Bowel Disease Institute, Cedars-Sinai Medical Center, Los Angeles, California.
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Liu A, Citu C, Enduru N, Chen X, Manuel AM, Sinha T, Gorski D, Fernandes BS, Yu M, Schulz PE, Simon LM, Soto C, Zhao Z. Single-nucleus multiomics reveals the disrupted regulatory programs in three brain regions of sporadic early-onset Alzheimer's disease. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.06.25.600720. [PMID: 38979371 PMCID: PMC11230393 DOI: 10.1101/2024.06.25.600720] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/10/2024]
Abstract
Sporadic early-onset Alzheimer's disease (sEOAD) represents a significant but less-studied subtype of Alzheimer's disease (AD). Here, we generated a single-nucleus multiome atlas derived from the postmortem prefrontal cortex, entorhinal cortex, and hippocampus of nine individuals with or without sEOAD. Comprehensive analyses were conducted to delineate cell type-specific transcriptomic changes and linked candidate cis- regulatory elements (cCREs) across brain regions. We prioritized seven conservative transcription factors in glial cells in multiple brain regions, including RFX4 in astrocytes and IKZF1 in microglia, which are implicated in regulating sEOAD-associated genes. Moreover, we identified the top 25 altered intercellular signaling between glial cells and neurons, highlighting their regulatory potential on gene expression in receiver cells. We reported 38 cCREs linked to sEOAD-associated genes overlapped with late-onset AD risk loci, and sEOAD cCREs enriched in neuropsychiatric disorder risk loci. This atlas helps dissect transcriptional and chromatin dynamics in sEOAD, providing a key resource for AD research.
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Pan Z, Zhang W. Causal relationship between primary sclerosing cholangitis and systemic lupus erythematosus: a bidirectional Mendelian randomization study. Eur J Med Res 2024; 29:351. [PMID: 38943194 PMCID: PMC11212221 DOI: 10.1186/s40001-024-01941-1] [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: 10/31/2023] [Accepted: 06/17/2024] [Indexed: 07/01/2024] Open
Abstract
BACKGROUND Observational studies have found a link between two autoimmune diseases, namely, primary sclerosing cholangitis (PSC) and systemic lupus erythematosus (SLE). However, the relationship remains unclear. METHODS Bidirectional Mendelian randomization (MR) analysis and statistical methods, including inverse variance weighting, weighted median, and MR-Egger tests, were performed using data from genome-wide association studies to detect a causal relationship between PSC and SLE. Sensitivity analyses were subsequently performed to assess the robustness of the results. Univariate MR methods were also investigated. RESULTS Results of MR analysis suggested that PSC was associated with an increased risk for SLE (odds ratio: 1.33, 95% confidence interval: 1.10-1.61, P=0.0039) However, SLE had no significant causal relationship with PSC. CONCLUSION Results of MR analysis revealed that patients with PSC were at an increased risk for SLE, which provides new insights into the relationship between these two autoimmune diseases.
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Affiliation(s)
- Ziwen Pan
- Institute of Organ Transplantation, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology; Key Laboratory of Organ Transplantation, Ministry of Education; NHC Key Laboratory of Organ Transplantation; Key Laboratory of Organ Transplantation, Chinese Academy of Medical Sciences, Wuhan, 430030, China
| | - Weijie Zhang
- Institute of Organ Transplantation, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology; Key Laboratory of Organ Transplantation, Ministry of Education; NHC Key Laboratory of Organ Transplantation; Key Laboratory of Organ Transplantation, Chinese Academy of Medical Sciences, Wuhan, 430030, China.
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Zhou J, Wang H, Xu Y, Liu Z. Dissecting the causal role of immunophenotypes in primary sclerosing cholangitis risk: A Mendelian randomization study. Medicine (Baltimore) 2024; 103:e38626. [PMID: 38941430 DOI: 10.1097/md.0000000000038626] [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] [Indexed: 06/30/2024] Open
Abstract
Primary sclerosing cholangitis (PSC), a chronic cholestatic liver condition, is frequently associated with inflammatory bowel disease. Specific immune cells have been implicated in PSC pathogenesis with the emergence of the "microbiota" and "gut lymphocyte homing" hypotheses, albeit their identities remain controversial. The first genome-wide association analysis leveraged nonoverlapping data from 3757 Europeans to evaluate 731 immunophenotypes. A genome-wide association analysis comprising 2871 cases and 12,019 controls yielded summary statistics for PSC. An inverse-variance weighted (IVW) analysis was performed to identify immunophenotypes causally related to PSC, and the results were validated using weighted mode, MR-Egger, and weighted median methods. Comprehensive sensitivity analyses were performed to verify the robustness, heterogeneity, and horizontal pleiotropy of the results. IVW analysis revealed 26 immune traits exhibiting causal associations with PSC. CD3 on HLA-DR+ CD4+ (IVW odds ratio [OR]: 0.904; 95% confidence interval [CI]: 0.828-0.986, P = .023) and CD3 on secreting Treg (IVW OR: 0.893; 95% CI: 0.823-0.969, P = .007) were negatively associated with PSC susceptibility and demonstrated high consistency across the 3 validation methods. Moreover, 7 other immune traits, including CD39+ resting Treg absolute cell (IVW OR = 1.083, 95% CI: 1.013-1.157, P = .019), CD39+ secreting Treg absolute cell (IVW OR = 1.063, 95% CI: 1.012-1.118, P = .015), CD3 on naive CD8br (IVW OR = 0.907, 95% CI: 0.835-0.986, P = .022), CD3 on CD39+ activated Treg (IVW OR = 0.927, 95% CI: 0.864-0.994, P = .034), CD28 on resting Treg (IVW OR = 0.724, 95% CI: 0.630-0.833, P = 5.95E-06), and CD39 on CD39+ CD4+ (IVW OR = 1.055, 95% CI: 1.001-1.112, P = .044) exhibited consistent results in the Weighted Median and Weighted Mode validation methods. Moreover, no significant heterogeneity or horizontal pleiotropy was observed across the single nucleotide polymorphisms. The leave-one-out results revealed that sequentially eliminating each single nucleotide polymorphism had no significant influence on model effect estimates or qualitative inference. This study evaluated potential causal links between 731 immune traits and PSC susceptibility. Twenty-six immune traits were identified using the IVW method. Verification across multiple methods revealed 9 immune traits with a plausible causal connection to PSC. These findings may uncover mechanistic pathways and novel therapeutic approaches.
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Affiliation(s)
- Jie Zhou
- Department of Gastrointestinal Surgery, the Third Affiliated Hospital of Soochow University, Changzhou, China
- Department of General Surgery, Wujin Hospital Affiliated with Jiangsu University, Changzhou, China
| | - Haitao Wang
- Department of Gastrointestinal Surgery, the Third Affiliated Hospital of Soochow University, Changzhou, China
| | - Yixin Xu
- Department of General Surgery, Wujin Hospital Affiliated with Jiangsu University, Changzhou, China
| | - Zhilin Liu
- Department of General Surgery, Wujin Hospital Affiliated with Jiangsu University, Changzhou, China
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15
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Leighton J, Jones DEJ, Dyson JK, Cordell HJ. Network proximity analysis as a theoretical model for identifying potential novel therapies in primary sclerosing cholangitis. BMC Med Genomics 2024; 17:157. [PMID: 38862968 PMCID: PMC11165726 DOI: 10.1186/s12920-024-01927-2] [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: 05/15/2023] [Accepted: 06/05/2024] [Indexed: 06/13/2024] Open
Abstract
Primary Sclerosing Cholangitis (PSC) is a progressive cholestatic liver disease with no licensed therapies. Previous Genome Wide Association Studies (GWAS) have identified genes that correlate significantly with PSC, and these were identified by systematic review. Here we use novel Network Proximity Analysis (NPA) methods to identify already licensed candidate drugs that may have an effect on the genetically coded aspects of PSC pathophysiology.Over 2000 agents were identified as significantly linked to genes implicated in PSC by this method. The most significant results include previously researched agents such as metronidazole, as well as biological agents such as basiliximab, abatacept and belatacept. This in silico analysis could potentially serve as a basis for developing novel clinical trials in this rare disease.
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Affiliation(s)
- Jessica Leighton
- Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, UK.
| | - David E J Jones
- Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, UK
- Liver Unit, Freeman Hospital, Newcastle upon Tyne Hospitals NHS Foundation Trust, Newcastle upon Tyne, UK
| | - Jessica K Dyson
- Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, UK
- Liver Unit, Freeman Hospital, Newcastle upon Tyne Hospitals NHS Foundation Trust, Newcastle upon Tyne, UK
| | - Heather J Cordell
- Population Health Sciences Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK
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16
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Kelemen M, Vigorito E, Fachal L, Anderson CA, Wallace C. shaPRS: Leveraging shared genetic effects across traits or ancestries improves accuracy of polygenic scores. Am J Hum Genet 2024; 111:1006-1017. [PMID: 38703768 PMCID: PMC11179256 DOI: 10.1016/j.ajhg.2024.04.009] [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: 07/28/2023] [Revised: 04/15/2024] [Accepted: 04/15/2024] [Indexed: 05/06/2024] Open
Abstract
We present shaPRS, a method that leverages widespread pleiotropy between traits or shared genetic effects across ancestries, to improve the accuracy of polygenic scores. The method uses genome-wide summary statistics from two diseases or ancestries to improve the genetic effect estimate and standard error at SNPs where there is homogeneity of effect between the two datasets. When there is significant evidence of heterogeneity, the genetic effect from the disease or population closest to the target population is maintained. We show via simulation and a series of real-world examples that shaPRS substantially enhances the accuracy of polygenic risk scores (PRSs) for complex diseases and greatly improves PRS performance across ancestries. shaPRS is a PRS pre-processing method that is agnostic to the actual PRS generation method, and as a result, it can be integrated into existing PRS generation pipelines and continue to be applied as more performant PRS methods are developed over time.
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Affiliation(s)
- Martin Kelemen
- Wellcome Sanger Institute, Hinxton, Cambridgeshire, UK; Cambridge Institute of Therapeutic Immunology & Infectious Disease, University of Cambridge, Cambridge, UK.
| | - Elena Vigorito
- MRC Biostatistics Unit, University of Cambridge, Cambridge, UK
| | - Laura Fachal
- Wellcome Sanger Institute, Hinxton, Cambridgeshire, UK
| | | | - Chris Wallace
- Cambridge Institute of Therapeutic Immunology & Infectious Disease, University of Cambridge, Cambridge, UK; MRC Biostatistics Unit, University of Cambridge, Cambridge, UK
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17
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Stankey CT, Bourges C, Haag LM, Turner-Stokes T, Piedade AP, Palmer-Jones C, Papa I, Silva Dos Santos M, Zhang Q, Cameron AJ, Legrini A, Zhang T, Wood CS, New FN, Randzavola LO, Speidel L, Brown AC, Hall A, Saffioti F, Parkes EC, Edwards W, Direskeneli H, Grayson PC, Jiang L, Merkel PA, Saruhan-Direskeneli G, Sawalha AH, Tombetti E, Quaglia A, Thorburn D, Knight JC, Rochford AP, Murray CD, Divakar P, Green M, Nye E, MacRae JI, Jamieson NB, Skoglund P, Cader MZ, Wallace C, Thomas DC, Lee JC. A disease-associated gene desert directs macrophage inflammation through ETS2. Nature 2024; 630:447-456. [PMID: 38839969 PMCID: PMC11168933 DOI: 10.1038/s41586-024-07501-1] [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: 04/17/2023] [Accepted: 05/01/2024] [Indexed: 06/07/2024]
Abstract
Increasing rates of autoimmune and inflammatory disease present a burgeoning threat to human health1. This is compounded by the limited efficacy of available treatments1 and high failure rates during drug development2, highlighting an urgent need to better understand disease mechanisms. Here we show how functional genomics could address this challenge. By investigating an intergenic haplotype on chr21q22-which has been independently linked to inflammatory bowel disease, ankylosing spondylitis, primary sclerosing cholangitis and Takayasu's arteritis3-6-we identify that the causal gene, ETS2, is a central regulator of human inflammatory macrophages and delineate the shared disease mechanism that amplifies ETS2 expression. Genes regulated by ETS2 were prominently expressed in diseased tissues and more enriched for inflammatory bowel disease GWAS hits than most previously described pathways. Overexpressing ETS2 in resting macrophages reproduced the inflammatory state observed in chr21q22-associated diseases, with upregulation of multiple drug targets, including TNF and IL-23. Using a database of cellular signatures7, we identified drugs that might modulate this pathway and validated the potent anti-inflammatory activity of one class of small molecules in vitro and ex vivo. Together, this illustrates the power of functional genomics, applied directly in primary human cells, to identify immune-mediated disease mechanisms and potential therapeutic opportunities.
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Affiliation(s)
- C T Stankey
- Genetic Mechanisms of Disease Laboratory, The Francis Crick Institute, London, UK
- Department of Immunology and Inflammation, Imperial College London, London, UK
- Washington University School of Medicine, St Louis, MO, USA
| | - C Bourges
- Genetic Mechanisms of Disease Laboratory, The Francis Crick Institute, London, UK
| | - L M Haag
- Division of Gastroenterology, Infectious Diseases and Rheumatology, Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - T Turner-Stokes
- Genetic Mechanisms of Disease Laboratory, The Francis Crick Institute, London, UK
- Department of Immunology and Inflammation, Imperial College London, London, UK
| | - A P Piedade
- Genetic Mechanisms of Disease Laboratory, The Francis Crick Institute, London, UK
| | - C Palmer-Jones
- Department of Gastroenterology, Royal Free Hospital, London, UK
- Institute for Liver and Digestive Health, Division of Medicine, University College London, London, UK
| | - I Papa
- Genetic Mechanisms of Disease Laboratory, The Francis Crick Institute, London, UK
| | | | - Q Zhang
- Genomics of Inflammation and Immunity Group, Human Genetics Programme, Wellcome Sanger Institute, Hinxton, UK
| | - A J Cameron
- Wolfson Wohl Cancer Centre, School of Cancer Sciences, University of Glasgow, Glasgow, UK
| | - A Legrini
- Wolfson Wohl Cancer Centre, School of Cancer Sciences, University of Glasgow, Glasgow, UK
| | - T Zhang
- Wolfson Wohl Cancer Centre, School of Cancer Sciences, University of Glasgow, Glasgow, UK
| | - C S Wood
- Wolfson Wohl Cancer Centre, School of Cancer Sciences, University of Glasgow, Glasgow, UK
| | - F N New
- NanoString Technologies, Seattle, WA, USA
| | - L O Randzavola
- Department of Immunology and Inflammation, Imperial College London, London, UK
| | - L Speidel
- Ancient Genomics Laboratory, The Francis Crick Institute, London, UK
- Genetics Institute, University College London, London, UK
| | - A C Brown
- Wellcome Centre for Human Genetics, University of Oxford, Oxford, UK
| | - A Hall
- The Sheila Sherlock Liver Centre, Royal Free Hospital, London, UK
- Department of Cellular Pathology, Royal Free Hospital, London, UK
| | - F Saffioti
- Institute for Liver and Digestive Health, Division of Medicine, University College London, London, UK
- The Sheila Sherlock Liver Centre, Royal Free Hospital, London, UK
| | - E C Parkes
- Genetic Mechanisms of Disease Laboratory, The Francis Crick Institute, London, UK
| | - W Edwards
- Cambridge Institute of Therapeutic Immunology and Infectious Disease, University of Cambridge, Cambridge, UK
| | - H Direskeneli
- Department of Internal Medicine, Division of Rheumatology, Marmara University, Istanbul, Turkey
| | - P C Grayson
- Systemic Autoimmunity Branch, NIAMS, National Institutes of Health, Bethesda, MD, USA
| | - L Jiang
- Department of Rheumatology, Zhongshan Hospital, Fudan University, Shanghai, China
| | - P A Merkel
- Division of Rheumatology, Department of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Division of Epidemiology, Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania, Philadelphia, PA, USA
| | - G Saruhan-Direskeneli
- Department of Physiology, Istanbul University, Istanbul Faculty of Medicine, Istanbul, Turkey
| | - A H Sawalha
- Division of Rheumatology, Department of Pediatrics, University of Pittsburgh, Pittsburgh, PA, USA
- Division of Rheumatology and Clinical Immunology, Department of Medicine, University of Pittsburgh, Pittsburgh, PA, USA
- Lupus Center of Excellence, University of Pittsburgh, Pittsburgh, PA, USA
- Department of Immunology, University of Pittsburgh, Pittsburgh, PA, USA
| | - E Tombetti
- Department of Biomedical and Clinical Sciences, Milan University, Milan, Italy
- Internal Medicine and Rheumatology, ASST FBF-Sacco, Milan, Italy
| | - A Quaglia
- Department of Cellular Pathology, Royal Free Hospital, London, UK
- UCL Cancer Institute, London, UK
| | - D Thorburn
- Institute for Liver and Digestive Health, Division of Medicine, University College London, London, UK
- The Sheila Sherlock Liver Centre, Royal Free Hospital, London, UK
| | - J C Knight
- Wellcome Centre for Human Genetics, University of Oxford, Oxford, UK
- Chinese Academy of Medical Sciences Institute, Nuffield Department of Medicine, University of Oxford, Oxford, UK
- NIHR Comprehensive Biomedical Research Centre, Oxford, UK
| | - A P Rochford
- Department of Gastroenterology, Royal Free Hospital, London, UK
- Institute for Liver and Digestive Health, Division of Medicine, University College London, London, UK
| | - C D Murray
- Department of Gastroenterology, Royal Free Hospital, London, UK
- Institute for Liver and Digestive Health, Division of Medicine, University College London, London, UK
| | - P Divakar
- NanoString Technologies, Seattle, WA, USA
| | - M Green
- Experimental Histopathology STP, The Francis Crick Institute, London, UK
| | - E Nye
- Experimental Histopathology STP, The Francis Crick Institute, London, UK
| | - J I MacRae
- Metabolomics STP, The Francis Crick Institute, London, UK
| | - N B Jamieson
- Wolfson Wohl Cancer Centre, School of Cancer Sciences, University of Glasgow, Glasgow, UK
| | - P Skoglund
- Ancient Genomics Laboratory, The Francis Crick Institute, London, UK
| | - M Z Cader
- Cambridge Institute of Therapeutic Immunology and Infectious Disease, University of Cambridge, Cambridge, UK
- Department of Medicine, University of Cambridge, Cambridge, UK
| | - C Wallace
- Cambridge Institute of Therapeutic Immunology and Infectious Disease, University of Cambridge, Cambridge, UK
- MRC Biostatistics Unit, Cambridge Institute of Public Health, Cambridge, UK
| | - D C Thomas
- Cambridge Institute of Therapeutic Immunology and Infectious Disease, University of Cambridge, Cambridge, UK
- Department of Medicine, University of Cambridge, Cambridge, UK
| | - J C Lee
- Genetic Mechanisms of Disease Laboratory, The Francis Crick Institute, London, UK.
- Department of Gastroenterology, Royal Free Hospital, London, UK.
- Institute for Liver and Digestive Health, Division of Medicine, University College London, London, UK.
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18
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Trivedi PJ, Hirschfield GM, Adams DH, Vierling JM. Immunopathogenesis of Primary Biliary Cholangitis, Primary Sclerosing Cholangitis and Autoimmune Hepatitis: Themes and Concepts. Gastroenterology 2024; 166:995-1019. [PMID: 38342195 DOI: 10.1053/j.gastro.2024.01.049] [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: 04/25/2023] [Revised: 01/21/2024] [Accepted: 01/28/2024] [Indexed: 02/13/2024]
Abstract
Autoimmune liver diseases include primary biliary cholangitis, primary sclerosing cholangitis, and autoimmune hepatitis, a family of chronic immune-mediated disorders that target hepatocytes and cholangiocytes. Treatments remain nonspecific, variably effective, and noncurative, and the need for liver transplantation is disproportionate to their rarity. Development of effective therapies requires better knowledge of pathogenic mechanisms, including the roles of genetic risk, and how the environment and gut dysbiosis cause immune cell dysfunction and aberrant bile acid signaling. This review summarizes key etiologic and pathogenic concepts and themes relevant for clinical practice and how such learning can guide the development of new therapies for people living with autoimmune liver diseases.
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Affiliation(s)
- Palak J Trivedi
- National Institute for Health Research Birmingham Biomedical Research Centre, Centre for Liver and Gastrointestinal Research, Institute of Immunology and Immunotherapy, University of Birmingham, Birmingham, United Kingdom; Liver Unit, University Hospitals Birmingham, Birmingham, United Kingdom; Institute of Translational Medicine, University of Birmingham, Birmingham, United Kingdom.
| | - Gideon M Hirschfield
- Division of Gastroenterology and Hepatology, Toronto Centre for Liver Disease, University of Toronto, Toronto, Ontario, Canada
| | - David H Adams
- National Institute for Health Research Birmingham Biomedical Research Centre, Centre for Liver and Gastrointestinal Research, Institute of Immunology and Immunotherapy, University of Birmingham, Birmingham, United Kingdom; Liver Unit, University Hospitals Birmingham, Birmingham, United Kingdom
| | - John M Vierling
- Section of Gastroenterology and Hepatology, Department of Medicine, Baylor College of Medicine, Houston, Texas; Division of Abdominal Transplantation, Department of Surgery, Baylor College of Medicine, Houston, Texas.
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19
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Zhou J, Zhu D, Xu Y, Chen C, Wang K. Genetically predicted gut microbiota mediate the association between plasma lipidomics and primary sclerosing cholangitis. BMC Gastroenterol 2024; 24:158. [PMID: 38720308 PMCID: PMC11080140 DOI: 10.1186/s12876-024-03246-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/28/2024] [Accepted: 04/29/2024] [Indexed: 05/12/2024] Open
Abstract
BACKGROUND Primary sclerosing cholangitis (PSC) is a complex disease with pathogenic mechanisms that remain to be elucidated. Previous observational studies with small sample sizes have reported associations between PSC, dyslipidemia, and gut microbiota dysbiosis. However, the causality of these associations is uncertain, and there has been no systematic analysis to date. METHODS The datasets comprise data on PSC, 179 lipid species, and 412 gut microbiota species. PSC data (n = 14,890) were sourced from the International PSC Study Group, while the dataset pertaining to plasma lipidomics originated from a study involving 7174 Finnish individuals. Data on gut microbiota species were derived from the Dutch Microbiome Project study, which conducted a genome-wide association study involving 7738 participants. Furthermore, we employed a two-step Mendelian randomization (MR) analysis to quantify the proportion of the effect of gut microbiota-mediated lipidomics on PSC. RESULTS Following a rigorous screening process, our MR analysis revealed a causal relationship between higher levels of gene-predicted Phosphatidylcholine (O-16:1_18:1) (PC O-16:1_18:1) and an increased risk of developing PSC (inverse variance-weighted method, odds ratio (OR) 1.30, 95% confidence interval (CI) 1.03-1.63). There is insufficient evidence to suggest that gene-predicted PSC impacts the levels of PC O-16:1_18:1 (OR 1.01, 95% CI 0.98-1.05). When incorporating gut microbiota data into the analysis, we found that Eubacterium rectale-mediated genetic prediction explains 17.59% of the variance in PC O-16:1_18:1 levels. CONCLUSION Our study revealed a causal association between PC O-16:1_18:1 levels and PSC, with a minor portion of the effect mediated by Eubacterium rectale. This study aims to further explore the pathogenesis of PSC and identify promising therapeutic targets. For patients with PSC who lack effective treatment options, the results are encouraging.
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Affiliation(s)
- Jie Zhou
- Department of General Surgery, Wujin Hospital Affiliated with Jiangsu University, No. 2, Yongning North Road, Changzhou, 213003, Jiangsu Province, China
- Department of General Surgery, The Wujin Clinical college of Xuzhou Medical University, Changzhou, 213003, China
| | - Dagang Zhu
- Department of General Surgery, Wujin Hospital Affiliated with Jiangsu University, No. 2, Yongning North Road, Changzhou, 213003, Jiangsu Province, China.
- Department of General Surgery, The Wujin Clinical college of Xuzhou Medical University, Changzhou, 213003, China.
| | - Yixin Xu
- Department of General Surgery, Wujin Hospital Affiliated with Jiangsu University, No. 2, Yongning North Road, Changzhou, 213003, Jiangsu Province, China
- Department of General Surgery, The Wujin Clinical college of Xuzhou Medical University, Changzhou, 213003, China
| | - Chao Chen
- Department of General Surgery, Wujin Hospital Affiliated with Jiangsu University, No. 2, Yongning North Road, Changzhou, 213003, Jiangsu Province, China
- Department of General Surgery, The Wujin Clinical college of Xuzhou Medical University, Changzhou, 213003, China
| | - Kun Wang
- Department of General Surgery, Wujin Hospital Affiliated with Jiangsu University, No. 2, Yongning North Road, Changzhou, 213003, Jiangsu Province, China
- Department of General Surgery, The Wujin Clinical college of Xuzhou Medical University, Changzhou, 213003, China
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20
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Yang J, Lin W, Ma Y, Song H, Mu C, Wu Q, Han C, Zhang J, Liu X. Investigation of the causal association between Parkinson's disease and autoimmune disorders: a bidirectional Mendelian randomization study. Front Immunol 2024; 15:1370831. [PMID: 38774879 PMCID: PMC11106379 DOI: 10.3389/fimmu.2024.1370831] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2024] [Accepted: 04/24/2024] [Indexed: 05/24/2024] Open
Abstract
Background To date, an increasing number of epidemiological evidence has pointed to potential relationships between Parkinson's disease (PD) and various autoimmune diseases (AIDs), however, no definitive conclusions has been drawn about whether PD is causally related to AIDs risk. Methods By employing summary statistics from the latest and most extensive genome-wide association studies (GWAS), we performed a bidirectional two-sample Mendelian randomization (MR) analysis to investigate the causal associations between PD and a variety of 17 AIDs, encompassing multiple sclerosis, neuromyelitis optica spectrum disorder, myasthenia gravis, asthma, inflammatory bowel disease, Crohn's disease, ulcerative colitis, irritable bowel syndrome, celiac disease, primary biliary cirrhosis, primary sclerosing cholangitis, type 1 diabetes, ankylosing spondylitis, rheumatoid arthritis, systemic lupus erythematosus, psoriasis and vitiligo. Inverse-variance weighted (IVW) was adopted as the main statistical approach to obtain the causal estimates of PD on different AIDs, supplemented by a series of complementary analyses (weighted median, MR Egger regression, and MR-PRESSO) for further strengthening the robustness of results. Results Our MR findings suggested that genetically predicted higher liability to PD was causally associated with a decreased risk of irritable bowel syndrome (OR = 0.98; 95% CI: 0.96-0.99; P = 0.032). On the contrary, IVW analysis showed a potential positive correlation between genetically determined PD and the incidence of type 1 diabetes (OR = 1.10; 95%CI: 1.02-1.19; P = 0.010). Subsequent MR tests ended up in similar results, confirming our findings were reliable. Additionally, in the reverse MR analyses, we did not identify any evidence to support the causal relationship of genetic predisposition to AIDs with PD susceptibility. Conclusion In general, a bifunctional role that PD exerted on the risk of developing AIDs was detected in our studies, both protecting against irritable bowel syndrome occurrence and raising the incidence of type 1 diabetes. Future studies, including population-based observational studies and molecular experiments in vitro and in vivo, are warranted to validate the results of our MR analyses and refine the underlying pathological mechanisms involved in PD-AIDs associations.
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Affiliation(s)
- Junyi Yang
- Department of Neurology, First Affiliated Hospital of China Medical University, Shenyang, Liaoning, China
| | - Weiran Lin
- Department of Cell Biology, Key Laboratory of Cell Biology, National Health Commission of the People's Republic of China, China Medical University, Shenyang, Liaoning, China
- Key Laboratory of Medical Cell Biology, Ministry of Education of the People's Republic of China, China Medical University, Shenyang, Liaoning, China
- Department of Laboratory Medicine, General Hospital of Northern Theater Command, Shenyang, Liaoning, China
| | - Yumei Ma
- Department of Neurology, First Affiliated Hospital of China Medical University, Shenyang, Liaoning, China
| | - Hui Song
- Department of Cell Biology, Key Laboratory of Cell Biology, National Health Commission of the People's Republic of China, China Medical University, Shenyang, Liaoning, China
- Key Laboratory of Medical Cell Biology, Ministry of Education of the People's Republic of China, China Medical University, Shenyang, Liaoning, China
| | - Changqing Mu
- Department of Neurology, First Affiliated Hospital of China Medical University, Shenyang, Liaoning, China
| | - Qian Wu
- Department of Neurology, First Affiliated Hospital of China Medical University, Shenyang, Liaoning, China
| | - Chen Han
- Department of Neurology, First Affiliated Hospital of China Medical University, Shenyang, Liaoning, China
| | - Jian Zhang
- Department of Cell Biology, Key Laboratory of Cell Biology, National Health Commission of the People's Republic of China, China Medical University, Shenyang, Liaoning, China
- Key Laboratory of Medical Cell Biology, Ministry of Education of the People's Republic of China, China Medical University, Shenyang, Liaoning, China
| | - Xu Liu
- Department of Neurology, First Affiliated Hospital of China Medical University, Shenyang, Liaoning, China
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21
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Lincoln MR, Connally N, Axisa PP, Gasperi C, Mitrovic M, van Heel D, Wijmenga C, Withoff S, Jonkers IH, Padyukov L, Rich SS, Graham RR, Gaffney PM, Langefeld CD, Vyse TJ, Hafler DA, Chun S, Sunyaev SR, Cotsapas C. Genetic mapping across autoimmune diseases reveals shared associations and mechanisms. Nat Genet 2024; 56:838-845. [PMID: 38741015 DOI: 10.1038/s41588-024-01732-8] [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: 09/29/2021] [Accepted: 03/21/2024] [Indexed: 05/16/2024]
Abstract
Autoimmune and inflammatory diseases are polygenic disorders of the immune system. Many genomic loci harbor risk alleles for several diseases, but the limited resolution of genetic mapping prevents determining whether the same allele is responsible, indicating a shared underlying mechanism. Here, using a collection of 129,058 cases and controls across 6 diseases, we show that ~40% of overlapping associations are due to the same allele. We improve fine-mapping resolution for shared alleles twofold by combining cases and controls across diseases, allowing us to identify more expression quantitative trait loci driven by the shared alleles. The patterns indicate widespread sharing of pathogenic mechanisms but not a single global autoimmune mechanism. Our approach can be applied to any set of traits and is particularly valuable as sample collections become depleted.
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Affiliation(s)
- Matthew R Lincoln
- Department of Neurology, Yale School of Medicine, New Haven, CT, USA
- Division of Neurology at the Department of Medicine, University of Toronto, Toronto, Ontario, Canada
- Keenan Research Centre for Biomedical Science, St. Michael's Hospital, Toronto, Ontario, Canada
| | - Noah Connally
- Department of Neurology, Yale School of Medicine, New Haven, CT, USA
| | - Pierre-Paul Axisa
- Department of Neurology, Yale School of Medicine, New Haven, CT, USA
| | | | - Mitja Mitrovic
- Department of Neurology, Yale School of Medicine, New Haven, CT, USA
- Faculty of Chemistry and Chemical Engineering, University of Maribor, Maribor, Slovenia
| | - David van Heel
- Blizard Institute, Queen Mary University of London, London, UK
| | - Cisca Wijmenga
- Department of Genetics at the University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - Sebo Withoff
- Department of Genetics at the University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - Iris H Jonkers
- Department of Genetics at the University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - Leonid Padyukov
- Division of Rheumatology at the Department of Medicine, Karolinska Institutet and Karolinska University Hospital, Stockholm, Sweden
| | - Stephen S Rich
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA, USA
- Department of Public Health Sciences, University of Virginia, Charlottesville, VA, USA
| | - Robert R Graham
- Maze Therapeutics, South San Francisco, CA, USA
- Genentech, South San Francisco, CA, USA
| | - Patrick M Gaffney
- Genes and Human Disease Research Program, Oklahoma Medical Research Foundation, Oklahoma City, OK, USA
| | - Carl D Langefeld
- Department of Biostatistics and Data Science, Wake Forest School of Medicine, Winston-Salem, NC, USA
- Center for Precision Medicine, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Timothy J Vyse
- Department of Medical and Molecular Genetics, Kings College London, London, UK
| | - David A Hafler
- Department of Neurology, Yale School of Medicine, New Haven, CT, USA
| | - Sung Chun
- Division of Genetics, Brigham and Women's Hospital, Boston, MA, USA
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
| | - Shamil R Sunyaev
- Division of Genetics, Brigham and Women's Hospital, Boston, MA, USA
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
| | - Chris Cotsapas
- Department of Neurology, Yale School of Medicine, New Haven, CT, USA.
- Department of Genetics, Yale School of Medicine, New Haven, CT, USA.
- Vesalius Therapeutics, Cambridge, MA, USA.
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22
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Krause J, Schramm C. Multi-omics characterization of healthy and PSC human liver - what we knew and what we have learned. J Hepatol 2024; 80:681-683. [PMID: 38428642 DOI: 10.1016/j.jhep.2024.02.020] [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: 01/23/2024] [Revised: 02/15/2024] [Accepted: 02/15/2024] [Indexed: 03/03/2024]
Affiliation(s)
- Jenny Krause
- Department of Medicine, University Medical Center Hamburg-Eppendorf, Hamburg 20246 Germany
| | - Christoph Schramm
- Department of Medicine, University Medical Center Hamburg-Eppendorf, Hamburg 20246 Germany; Hamburg Center for Translational Immunology, University Medical Center Hamburg-Eppendorf, Hamburg 20246 Germany; Martin Zeitz Center for Rare Diseases, University Medical Center Hamburg-Eppendorf, Hamburg 20246 Germany.
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23
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Huang W, Jin T, Zheng W, Yin Q, Yan Q, Pan H, Xu C. Identifying the genetic association between systemic lupus erythematosus and the risk of autoimmune liver diseases. J Autoimmun 2024; 145:103188. [PMID: 38458076 DOI: 10.1016/j.jaut.2024.103188] [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: 12/13/2023] [Revised: 02/14/2024] [Accepted: 02/18/2024] [Indexed: 03/10/2024]
Abstract
BACKGROUND Previous studies on the relationship between systemic lupus erythematosus (SLE) and autoimmune liver diseases (AILDs) are inconclusive. Therefore, we employed Mendelian randomization (MR) to explore the causal associations between SLE and AILDs. METHODS A two-sample MR analysis was performed using summary-level statistics sourced from genome-wide association study (GWAS) datasets. Inverse-variance weighting (IVW), MR‒Egger, and weighted median (WM) were further supported by several sensitivity analyses. RESULTS We detected causal genetic associations between SLE and primary biliary cholangitis (PBC) (odds ratio (OR) = 1.31, 95% CI = 1.15-1.51, P < 0.01; adjusted OR = 1.63, 95% CI = 1.39-1.90, P < 0.01) and between SLE and primary sclerosing cholangitis (PSC) (OR = 1.09, 95% CI = 1.01-1.08, P = 0.03; adjusted OR = 1.10, 95% CI = 1.00-1.21, P = 0.04). No causal association was found between SLE and autoimmune hepatitis. CONCLUSIONS We are the first to use MR analysis to explore the causal relationships between SLE and various AILDs, revealing an increased risk of PBC and PSC in individuals with SLE.
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MESH Headings
- Humans
- Lupus Erythematosus, Systemic/genetics
- Lupus Erythematosus, Systemic/epidemiology
- Genome-Wide Association Study
- Genetic Predisposition to Disease
- Mendelian Randomization Analysis
- Polymorphism, Single Nucleotide
- Hepatitis, Autoimmune/genetics
- Hepatitis, Autoimmune/epidemiology
- Liver Cirrhosis, Biliary/genetics
- Liver Cirrhosis, Biliary/epidemiology
- Liver Cirrhosis, Biliary/etiology
- Cholangitis, Sclerosing/genetics
- Cholangitis, Sclerosing/epidemiology
- Autoimmune Diseases/genetics
- Autoimmune Diseases/epidemiology
- Autoimmune Diseases/etiology
- Odds Ratio
- Risk Factors
- Liver Diseases/genetics
- Liver Diseases/epidemiology
- Liver Diseases/etiology
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Affiliation(s)
- Wei Huang
- Department of Rheumatology and Immunology, Nanjing Drum Tower Hospital Clinical College of Nanjing Medical University, Nanjing, China; Department of Rheumatology and Immunology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China.
| | - Tianyu Jin
- Department of Rehabilitation Medicine, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China.
| | - Wei Zheng
- Center for General Practice Medicine, Department of Infectious Diseases, Zhejiang Provincial People's Hospital (Affiliated People's Hospital, Hangzhou Medical College), Hangzhou, Zhejiang, China.
| | - Qiaoqiao Yin
- Center for General Practice Medicine, Department of Infectious Diseases, Zhejiang Provincial People's Hospital (Affiliated People's Hospital, Hangzhou Medical College), Hangzhou, Zhejiang, China.
| | - Qiqi Yan
- Heart Center, Department of Cardiovascular Medicine, Zhejiang Provincial People's Hospital (Affiliated People's Hospital), Hangzhou Medical College, Hangzhou, Zhejiang, China.
| | - Hongying Pan
- Center for General Practice Medicine, Department of Infectious Diseases, Zhejiang Provincial People's Hospital (Affiliated People's Hospital, Hangzhou Medical College), Hangzhou, Zhejiang, China.
| | - Chengan Xu
- Center for General Practice Medicine, Department of Infectious Diseases, Zhejiang Provincial People's Hospital (Affiliated People's Hospital, Hangzhou Medical College), Hangzhou, Zhejiang, China.
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Fang Z, Jia S, Mou X, Li Z, Hu T, Tu Y, Zhao J, Zhang T, Lin W, Lu Y, Feng C, Xia S. Shared genetic architecture and causal relationship between liver and heart disease. iScience 2024; 27:109431. [PMID: 38523778 PMCID: PMC10959668 DOI: 10.1016/j.isci.2024.109431] [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: 10/13/2023] [Revised: 01/08/2024] [Accepted: 03/04/2024] [Indexed: 03/26/2024] Open
Abstract
This study investigates the relationship and genetic mechanisms of liver and heart diseases, focusing on the liver-heart axis (LHA) as a fundamental biological basis. Through genome-wide association study analysis, we explore shared genes and pathways related to LHA. Shared genetic factors are found in 8 out of 20 pairs, indicating genetic correlations. The analysis reveals 53 loci with pleiotropic effects, including 8 loci exhibiting shared causality across multiple traits. Based on SNP-p level tissue-specific multi-marker analysis of genomic annotation (MAGMA) analysis demonstrates significant enrichment of pleiotropy in liver and heart diseases within different cardiovascular tissues and female reproductive appendages. Gene-specific MAGMA analysis identifies 343 pleiotropic genes associated with various traits; these genes show tissue-specific enrichment primarily in the liver, cardiovascular system, and other tissues. Shared risk loci between immune cells and both liver and cardiovascular diseases are also discovered. Mendelian randomization analyses provide support for causal relationships among the investigated trait pairs.
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Affiliation(s)
- Ziyi Fang
- Department of Gastroenterology, The Fourth Affiliated Hospital of School of Medicine, and International School of Medicine, International Institutes of Medicine, Zhejiang University, Yiwu 322000, China
| | - Sixiang Jia
- Department of Cardiology, The Fourth Affiliated Hospital of School of Medicine, and International School of Medicine, International Institutes of Medicine, Zhejiang University, Yiwu 322000, China
| | - Xuanting Mou
- Department of Cardiology, The Fourth Affiliated Hospital of School of Medicine, and International School of Medicine, International Institutes of Medicine, Zhejiang University, Yiwu 322000, China
| | - Zhe Li
- Department of Cardiology, The Fourth Affiliated Hospital of School of Medicine, and International School of Medicine, International Institutes of Medicine, Zhejiang University, Yiwu 322000, China
| | - Tianli Hu
- Department of Cardiology, The Fourth Affiliated Hospital of School of Medicine, and International School of Medicine, International Institutes of Medicine, Zhejiang University, Yiwu 322000, China
| | - Yiting Tu
- Department of Orthopedics, The Second Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - Jianqiang Zhao
- Department of Cardiology, The Fourth Affiliated Hospital of School of Medicine, and International School of Medicine, International Institutes of Medicine, Zhejiang University, Yiwu 322000, China
| | - Tianlong Zhang
- Department of Critical Care Medicine, The Fourth Affiliated Hospital of School of Medicine, and International School of Medicine, International Institutes of Medicine, Zhejiang University, Yiwu 322000, China
| | - Wenting Lin
- Department of Cardiology, The Fourth Affiliated Hospital of School of Medicine, and International School of Medicine, International Institutes of Medicine, Zhejiang University, Yiwu 322000, China
| | - Yile Lu
- Department of Cardiology, The Fourth Affiliated Hospital of School of Medicine, and International School of Medicine, International Institutes of Medicine, Zhejiang University, Yiwu 322000, China
| | - Chao Feng
- Department of Cardiology, The Fourth Affiliated Hospital of School of Medicine, and International School of Medicine, International Institutes of Medicine, Zhejiang University, Yiwu 322000, China
| | - Shudong Xia
- Department of Cardiology, The Fourth Affiliated Hospital of School of Medicine, and International School of Medicine, International Institutes of Medicine, Zhejiang University, Yiwu 322000, China
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25
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Yu X, Chen Y, Chen J, Fan Y, Lu H, Wu D, Xu Y. Shared genetic architecture between autoimmune disorders and B-cell acute lymphoblastic leukemia: insights from large-scale genome-wide cross-trait analysis. BMC Med 2024; 22:161. [PMID: 38616254 PMCID: PMC11017616 DOI: 10.1186/s12916-024-03385-0] [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: 01/08/2024] [Accepted: 04/08/2024] [Indexed: 04/16/2024] Open
Abstract
BACKGROUND To study the shared genetic structure between autoimmune diseases and B-cell acute lymphoblastic leukemia (B-ALL) and identify the shared risk loci and genes and genetic mechanisms involved. METHODS Based on large-scale genome-wide association study (GWAS) summary-level data sets, we observed genetic overlaps between autoimmune diseases and B-ALL, and cross-trait pleiotropic analysis was performed to detect shared pleiotropic loci and genes. A series of functional annotation and tissue-specific analysis were performed to determine the influence of pleiotropic genes. The heritability enrichment analysis was used to detect crucial immune cells and tissues. Finally, bidirectional Mendelian randomization (MR) methods were utilized to investigate the casual associations. RESULTS Our research highlighted shared genetic mechanisms between seven autoimmune disorders and B-ALL. A total of 73 pleiotropic loci were identified at the genome-wide significance level (P < 5 × 10-8), 16 of which had strong evidence of colocalization. We demonstrated that several loci have been previously reported (e.g., 17q21) and discovered some novel loci (e.g., 10p12, 5p13). Further gene-level identified 194 unique pleiotropic genes, for example IKZF1, GATA3, IKZF3, GSDMB, and ORMDL3. Pathway analysis determined the key role of cellular response to cytokine stimulus, B cell activation, and JAK-STAT signaling pathways. SNP-level and gene-level tissue enrichment suggested that crucial role pleiotropic mechanisms involved in the spleen, whole blood, and EBV-transformed lymphocytes. Also, hyprcoloc and stratified LD score regression analyses revealed that B cells at different developmental stages may be involved in mechanisms shared between two different diseases. Finally, two-sample MR analysis determined causal effects of asthma and rheumatoid arthritis on B-ALL. CONCLUSIONS Our research proved shared genetic architecture between autoimmune disorders and B-ALL and shed light on the potential mechanism that might involve in.
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Affiliation(s)
- Xinghao Yu
- National Clinical Research Center for Hematologic Diseases, Jiangsu Institute of Hematology, The First Affiliated Hospital of Soochow University, Suzhou, China
- Collaborative Innovation Center of Hematology, Institute of Blood and Marrow Transplantation, Soochow University, Suzhou, China
| | - Yiyin Chen
- National Clinical Research Center for Hematologic Diseases, Jiangsu Institute of Hematology, The First Affiliated Hospital of Soochow University, Suzhou, China
- Collaborative Innovation Center of Hematology, Institute of Blood and Marrow Transplantation, Soochow University, Suzhou, China
| | - Jia Chen
- National Clinical Research Center for Hematologic Diseases, Jiangsu Institute of Hematology, The First Affiliated Hospital of Soochow University, Suzhou, China
| | - Yi Fan
- National Clinical Research Center for Hematologic Diseases, Jiangsu Institute of Hematology, The First Affiliated Hospital of Soochow University, Suzhou, China
| | - Huimin Lu
- Department of Outpatient and Emergency, The First Affiliated Hospital of Soochow University, Suzhou, China
| | - Depei Wu
- National Clinical Research Center for Hematologic Diseases, Jiangsu Institute of Hematology, The First Affiliated Hospital of Soochow University, Suzhou, China.
- Collaborative Innovation Center of Hematology, Institute of Blood and Marrow Transplantation, Soochow University, Suzhou, China.
| | - Yang Xu
- National Clinical Research Center for Hematologic Diseases, Jiangsu Institute of Hematology, The First Affiliated Hospital of Soochow University, Suzhou, China.
- Collaborative Innovation Center of Hematology, Institute of Blood and Marrow Transplantation, Soochow University, Suzhou, China.
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26
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Su Y, Zhang Y, Chai Y, Xu J. Autoimmune diseases and their genetic link to bronchiectasis: insights from a genetic correlation and Mendelian randomization study. Front Immunol 2024; 15:1343480. [PMID: 38660310 PMCID: PMC11039849 DOI: 10.3389/fimmu.2024.1343480] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2023] [Accepted: 03/04/2024] [Indexed: 04/26/2024] Open
Abstract
Background Previous studies have demonstrated that autoimmune diseases are closely associated with bronchiectasis (BE). However, the causal effects between autoimmune diseases and BE remain elusive. Methods All summary-level data were obtained from large-scale Genome-Wide Association Studies (GWAS). The univariate Mendelian randomization (UVMR) was utilized to investigate the genetic causal correlation (rg) of 12 autoimmune diseases and bronchiectasis, The Multivariable Mendelian Randomization (MVMR) method was used to explore the effects of the confounding factors. Further investigation was conducted to identify potential intermediate factors using mediation analysis. Finally, the linkage disequilibrium score regression (LDSC) method was used to identify genetic correlations among complex traits. A series of sensitivity analyses was performed to validate the robustness of the results. Results The LDSC analysis revealed significant genetic correlations between BE and Crohn's disease (CD) (rg = 0.220, P = 0.037), rheumatoid arthritis (RA) (rg = 0.210, P = 0.021), and ulcerative colitis (UC) (rg = 0.247, P = 0.023). However, no genetic correlation was found with other autoimmune diseases (P > 0.05). The results of the primary IVW analysis suggested that for every SD increase in RA, there was a 10.3% increase in the incidence of BE (odds ratio [OR] = 1.103, 95% confidence interval [CI] 1.055-1.154, P = 1.75×10-5, FDR = 5.25×10-5). Furthermore, for every standard deviation (SD) increase in celiac disease (CeD), the incidence of BE reduced by 5.1% (OR = 0.949, 95% CI 0.902-0.999, P = 0.044, FDR = 0.044). We also observed suggestive evidence corresponding to a 3% increase in BE incidence with T1DM (OR = 1.033, 95% CI 1.001-1.066, P = 0.042, FDR = 0.063). Furthermore, MVMR analysis showed that RA was an independent risk factor for BE, whereas mediator MR analysis did not identify any mediating factors. The sensitivity analyses corroborated the robustness of these findings. Conclusion LDSC analysis revealed significant genetic correlations between several autoimmune diseases and BE, and further MVMR analysis showed that RA is an independent risk factor for BE.
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Affiliation(s)
- Yue Su
- Department of Respiratory and Critical Care Medicine, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Youqian Zhang
- Health Science Center, Yangtze University, Jingzhou, Hubei, China
| | - Yanhua Chai
- Department of Respiratory and Critical Care Medicine, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Jinfu Xu
- Department of Respiratory and Critical Care Medicine, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, China
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27
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Jin P, Jin X, He L, Liu W, Zhan Z. The casual relationship between autoimmune diseases and multiple myeloma: a Mendelian randomization study. Clin Exp Med 2024; 24:65. [PMID: 38564026 PMCID: PMC10987346 DOI: 10.1007/s10238-024-01327-x] [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: 06/22/2023] [Accepted: 03/07/2024] [Indexed: 04/04/2024]
Abstract
Observational studies showed possible associations between systemic lupus erythematosus and multiple myeloma. However, whether there is a casual relationship between different types of autoimmune diseases (type 1 diabetes mellitus, rheumatoid arthritis, systemic lupus erythematosus, psoriasis, multiple sclerosis, primary sclerosing cholangitis, primary biliary cirrhosis, and juvenile idiopathic arthritis) and multiple myeloma (MM) is not well known. We performed a two-sample Mendelian randomization (MR) study to estimate the casual relationship. Summary-level data of autoimmune diseases were gained from published genome-wide association studies while data of MM was obtained from UKBiobank. The Inverse-Variance Weighted (IVW) method was used as the primary analysis method to interpret the study results, with MR-Egger and weighted median as complementary methods of analysis. There is causal relationship between primary sclerosing cholangitis [OR = 1.00015, 95% CI 1.000048-1.000254, P = 0.004] and MM. Nevertheless, no similar causal relationship was found between the remaining seven autoimmune diseases and MM. Considering the important role of age at recruitment and body mass index (BMI) in MM, we excluded these relevant instrument variables, and similar results were obtained. The accuracy and robustness of these findings were confirmed by sensitivity tests. Overall, MR analysis suggests that genetic liability to primary sclerosing cholangitis could be causally related to the increasing risk of MM. This finding may serve as a guide for clinical attention to patients with autoimmune diseases and their early screening for MM.
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Affiliation(s)
- Peipei Jin
- Second School of Clinical Medicine, Zhongnan Hospital of Wuhan University, Wuhan, 430071, Hubei, China
| | - Xiaoqing Jin
- Emergency Center, Zhongnan Hospital of Wuhan University, Wuhan, 430071, Hubei, China
| | - Li He
- Department of Hematology, Zhongnan Hospital of Wuhan University, 169 Donghu Road, Wuhan, 430071, Hubei, China.
| | - Wen Liu
- Second School of Clinical Medicine, Zhongnan Hospital of Wuhan University, Wuhan, 430071, Hubei, China
| | - Zhuo Zhan
- Second School of Clinical Medicine, Zhongnan Hospital of Wuhan University, Wuhan, 430071, Hubei, China
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28
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Wang Z, Guo Z, Wang X, Chen F, Wang Z, Wang Z. ASSESSING THE CAUSAL RELATIONSHIP BETWEEN SEPSIS AND AUTOIMMUNE: A MENDELIAN RANDOMIZATION STUDY. Shock 2024; 61:564-569. [PMID: 37856654 DOI: 10.1097/shk.0000000000002246] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2023]
Abstract
ABSTRACT Objective : Numerous epidemiological studies have identified a potential link between sepsis and a variety of autoimmune disorders. The primary objective of this study is to delve deeper into this connection, investigating the potential causal relationship between sepsis and autoimmune disorders through the application of Mendelian randomization (MR). Methods : To assess the potential genetic impact on sepsis risk relating to susceptibility toward immune-related outcomes, we used summary data from the largest European genome-wide association studies (GWAS) on these conditions using a two-sample MR framework. Single nucleotide polymorphisms-which had strong associations with the nine traits-were extracted from the GWAS and examined their effects in an extensive European sepsis GWAS (486,484 cases and 474,841 controls). We used inverse-variance weighted MR, weighted median, and MR Egger for analyses, supplementing these with sensitivity analyses and assessing level pleiotropy using MR methodologies. We also executed a reverse MR analysis to test sepsis' causal effects on the designated autoimmune traits. Results : With primary sclerosing cholangitis being the exception, our MR analysis suggests that susceptibility toward most autoimmune diseases does not affect sepsis risks. The reverse MR analysis did not validate any influence of sepsis susceptibility over other autoimmune diseases. Our primary inverse-variance weighted MR analysis outcomes found general confirmation through our sensitivity MR examinations. Variance in the exposures, as dictated by the single nucleotide polymorphism sets used as MR instruments, ranged between 4.88 × 10 -5 to 0.005. Conclusion : Our MR research, centered on a European population, does not validate a correlation between susceptibility to the majority of autoimmune disorders and sepsis risk. Associations discerned in epidemiological studies may owe partly to shared biological or environmental confounders. The risk susceptibility for primary sclerosing cholangitis does relate to sepsis risk, opening doors for personalized precision treatments in the future.
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Affiliation(s)
- Ziyi Wang
- Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua University, Beijing, People's Republic of China
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29
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Chen L, Zhao Y, Li M, Lv G. Proteome-wide Mendelian randomization highlights AIF1 and HLA-DQA2 as targets for primary sclerosing cholangitis. Hepatol Int 2024; 18:517-528. [PMID: 37950809 DOI: 10.1007/s12072-023-10608-8] [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: 07/18/2023] [Accepted: 10/09/2023] [Indexed: 11/13/2023]
Abstract
BACKGROUND Primary sclerosing cholangitis (PSC) is a kind of cholestatic liver disease without effective therapies and its pathogenesis is largely unknown. METHODS We performed the proteome-wide Mendelian randomization (MR) design to estimate the causal associations of protein levels with PSC risk. Therein, genetic associations with 4,907 plasma protein levels were extracted from a proteome-wide genome-wide association study (GWAS) with 35,559 individuals and those with PSC were obtained from the International PSC Study Group (2,871 cases and 12,019 controls) and the FinnGen study (1,491 cases and 301,383 controls). The colocalization analysis was performed to detect causal variants shared by proteins and PSC. The identified proteins were further enriched in pathways and diseases. A phenome-wide association screening was performed and potential drugs were assessed as well. RESULTS The results indicated that genetically predicted plasma levels of 14 proteins were positively associated with an increased risk of PSC and 8 proteins were inversely associated with PSC risk in both PSC GWAS data sets, and they all survived in sensitivity analyses. The colocalization indicated that AIF1 (allograft inflammatory factor 1) and HLA-DQA2 (major histocompatibility complex, class II, DQ alpha 2) were shared proteins with PSC, and they should be direct targets for PSC. The phenome-wide screening suggested that variants located at AIF1 or HLA-DQA2 region were closely associated with several autoimmune diseases, such as rheumatoid arthritis, implicating the shared pathogenesis among them. CONCLUSIONS Our study highly pinpointed two candidate targets (AIF1 and HLA-DQA2) for PSC.
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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
| | - Yuexuan Zhao
- Department of Hepatobiliary and Pancreatic Surgery, General Surgery Center, First Hospital of Jilin University, No. 1 Xinmin Street, Changchun, 130021, Jilin, China
| | - Mingyue Li
- 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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30
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Zheng Y, Guo H, Chen L, Cheng W, Yan K, Zhang Z, Li M, Jin Y, Hu G, Wang C, Zhou C, Zhou W, Jia Z, Zheng B, Liu Z. Diagnostic yield and novel candidate genes by next generation sequencing in 166 children with intrahepatic cholestasis. Hepatol Int 2024; 18:661-672. [PMID: 37314652 DOI: 10.1007/s12072-023-10553-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/13/2023] [Accepted: 05/19/2023] [Indexed: 06/15/2023]
Abstract
BACKGROUND AND AIMS Cholestatic liver disease is a leading referral to pediatric liver transplant centers. Inherited disorders are the second most frequent cause of cholestasis in the first month of life. METHODS We retrospectively characterized the genotype and phenotype of 166 participants with intrahepatic cholestasis, and re-analyzed phenotype and whole-exome sequencing (WES) data from patients with previously undetermined genetic etiology for newly published genes and novel candidates. Functional validations of selected variants were conducted in cultured cells. RESULTS Overall, we identified disease-causing variants in 31% (52/166) of our study participants. Of the 52 individuals, 18 (35%) had metabolic liver diseases, 9 (17%) had syndromic cholestasis, 9 (17%) had progressive familial intrahepatic cholestasis, 3 (6%) had bile acid synthesis defects, 3(6%) had infantile liver failure and 10 (19%) had a phenocopy of intrahepatic cholestasis. By reverse phenotyping, we identified a de novo variant c.1883G > A in FAM111B of a case with high glutamyl transpeptidase (GGT) cholestasis. By re-analyzing WES data, two patients were newly solved, who had compound heterozygous variants in recently published genes KIF12 and USP53, respectively. Our additional search for novel candidates in unsolved WES families revealed four potential novel candidate genes (NCOA6, CCDC88B, USP24 and ATP11C), among which the patients with variants in NCOA6 and ATP11C recapitulate the cholestasis phenotype in mice models. CONCLUSIONS In a single-center pediatric cohort, we identified monogenic variants in 22 known human intrahepatic cholestasis or phenocopy genes, explaining up to 31% of the intrahepatic cholestasis patients. Our findings suggest that re-evaluating existing WES data from well-phenotyped patients on a regular basis can increase the diagnostic yield for cholestatic liver disease in children.
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Affiliation(s)
- Yucan Zheng
- Department of Gastroenterology, Children's Hospital of Nanjing Medical University, Nanjing, China
| | - Hongmei Guo
- Department of Gastroenterology, Children's Hospital of Nanjing Medical University, Nanjing, China
| | - Leilei Chen
- Department of Gastroenterology, Children's Hospital of Nanjing Medical University, Nanjing, China
| | - Weixia Cheng
- Department of Gastroenterology, Children's Hospital of Nanjing Medical University, Nanjing, China
| | - Kunlong Yan
- Department of Gastroenterology, Children's Hospital of Nanjing Medical University, Nanjing, China
| | - Zhihua Zhang
- Department of Gastroenterology, Children's Hospital of Nanjing Medical University, Nanjing, China
| | - Mei Li
- Department of Gastroenterology, Children's Hospital of Nanjing Medical University, Nanjing, China
| | - Yu Jin
- Department of Gastroenterology, Children's Hospital of Nanjing Medical University, Nanjing, China
| | - Guorui Hu
- Department of Gastroenterology, Children's Hospital of Nanjing Medical University, Nanjing, China
| | - Chunli Wang
- Nanjing Key Laboratory of Pediatrics, Children's Hospital of Nanjing Medical University, Nanjing, China
| | - Chunlei Zhou
- Department of Pathology, Children's Hospital of Nanjing Medical University, Nanjing, China
| | - Wei Zhou
- Nanjing Key Laboratory of Pediatrics, Children's Hospital of Nanjing Medical University, Nanjing, China
| | - Zhanjun Jia
- Nanjing Key Laboratory of Pediatrics, Children's Hospital of Nanjing Medical University, Nanjing, China
| | - Bixia Zheng
- Nanjing Key Laboratory of Pediatrics, Children's Hospital of Nanjing Medical University, Nanjing, China.
| | - Zhifeng Liu
- Department of Gastroenterology, Children's Hospital of Nanjing Medical University, Nanjing, China.
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31
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Langhans B, Kalthoff S, Zhou T, Weismüller TJ, Lenzen H, Nischalke HD, Strassburg CP, Lutz P, Dold L. Role of PAR1 -506 deletion/insertion polymorphism in primary sclerosing cholangitis. Hepatol Res 2024. [PMID: 38509789 DOI: 10.1111/hepr.14035] [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: 12/11/2023] [Revised: 02/15/2024] [Accepted: 02/22/2024] [Indexed: 03/22/2024]
Abstract
AIM Primary sclerosing cholangitis (PSC) is a rare cholestatic liver disease characterized by inflammation of the intra- and extrahepatic bile ducts. Pathogenesis of PSC is still enigmatic but is likely to be multifactorial. Recently, we identified an interleukin-6 (IL-6)-dependent signal transducer and activator of transcription 3 (STAT3) activation in CD4+ TH1 and TH17 cells in PSC. The IL-6/STAT3 pathway was shown to be regulated by protease-activated receptor 1 (PAR1) contributing to inflammation. The role of the PAR1 -506 deletion/insertion (Del/Ins) polymorphism in PSC has not yet been investigated. METHODS Two hundred eighty four PSC patients (200 patients with inflammatory bowel diseases [IBD] and 84 without IBD) and 309 healthy controls were genotyped for PAR1 rs11267092 (-506 Del/Ins -13 bp). Results were correlated with clinical characteristics and transplant-free survival. RESULTS The frequency of PAR1 -506 Ins allele carriers (Del/Ins and Ins/Ins) was significantly higher in PSC patients (57.0%) compared to healthy controls (39.8%). Furthermore, carriers of PAR1 -506 Ins allele were more likely to have PSC than noncarriers (odds ratio 2.01; 95% confidence interval, 1.45-2.79). Patients with PSC carrying the PAR1 -506 Ins allele showed significantly higher alanine aminotransferase serum levels (p = 0.0357) and a trend toward shorter transplant-free survival time compared to noncarriers (8.9 ± 6.6 years vs. 10.5 ± 7.1 years; p = 0.076). CONCLUSIONS Our study shows that PAR1 -506 Ins is significantly more frequent in people with PSC. As PAR1 -506 Ins allele carriers tended to have a shorter transplant-free survival, PAR1 might play a role in the development and course of PSC.
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Affiliation(s)
- Bettina Langhans
- Department of Internal Medicine I, University Hospital of Bonn, Bonn, Germany
- German Center for Infection Research (DZIF), Partner Site Cologne-Bonn, Bonn, Germany
| | - Sandra Kalthoff
- Department of Internal Medicine I, University Hospital of Bonn, Bonn, Germany
| | - Taotao Zhou
- Department of Internal Medicine I, University Hospital of Bonn, Bonn, Germany
| | - Tobias J Weismüller
- Department of Internal Medicine I, University Hospital of Bonn, Bonn, Germany
- Department of Gastroenterology, Hepatology and Oncology, Vivantes Humboldt-Hospital, Berlin, Germany
| | - Henrike Lenzen
- Department of Gastroenterology, Hepatology, Infectious Diseases and Endocrinology, Hannover Medical School, Hannover, Germany
| | | | | | - Philipp Lutz
- Department of Internal Medicine I, University Hospital of Bonn, Bonn, Germany
- German Center for Infection Research (DZIF), Partner Site Cologne-Bonn, Bonn, Germany
| | - Leona Dold
- Department of Internal Medicine I, University Hospital of Bonn, Bonn, Germany
- German Center for Infection Research (DZIF), Partner Site Cologne-Bonn, Bonn, Germany
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Enduru N, Fernandes BS, Bahrami S, Dai Y, Andreassen OA, Zhao Z. Genetic overlap between Alzheimer's disease and immune-mediated diseases: an atlas of shared genetic determinants and biological convergence. Mol Psychiatry 2024:10.1038/s41380-024-02510-y. [PMID: 38499654 DOI: 10.1038/s41380-024-02510-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/11/2023] [Revised: 02/27/2024] [Accepted: 02/29/2024] [Indexed: 03/20/2024]
Abstract
The occurrence of immune disease comorbidities in Alzheimer's disease (AD) has been observed in both epidemiological and molecular studies, suggesting a neuroinflammatory basis in AD. However, their shared genetic components have not been systematically studied. Here, we composed an atlas of the shared genetic associations between 11 immune-mediated diseases and AD by analyzing genome-wide association studies (GWAS) summary statistics. Our results unveiled a significant genetic overlap between AD and 11 individual immune-mediated diseases despite negligible genetic correlations, suggesting a complex shared genetic architecture distributed across the genome. The shared loci between AD and immune-mediated diseases implicated several genes, including GRAMD1B, FUT2, ADAMTS4, HBEGF, WNT3, TSPAN14, DHODH, ABCB9, and TNIP1, all of which are protein-coding genes and thus potential drug targets. Top biological pathways enriched with these identified shared genes were related to the immune system and cell adhesion. In addition, in silico single-cell analyses showed enrichment of immune and brain cells, including neurons and microglia. In summary, our results suggest a genetic relationship between AD and the 11 immune-mediated diseases, pinpointing the existence of a shared however non-causal genetic basis. These identified protein-coding genes have the potential to serve as a novel path to therapeutic interventions for both AD and immune-mediated diseases and their comorbidities.
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Affiliation(s)
- Nitesh Enduru
- Center for Precision Health, McWilliams School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX, USA
- Department of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Brisa S Fernandes
- Center for Precision Health, McWilliams School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Shahram Bahrami
- Norwegian Centre for Mental Disorders Research (NORMENT), Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- KG Jebsen Centre for Neurodevelopmental Disorders, University of Oslo, Oslo, Norway
| | - Yulin Dai
- Center for Precision Health, McWilliams School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Ole A Andreassen
- Norwegian Centre for Mental Disorders Research (NORMENT), Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- KG Jebsen Centre for Neurodevelopmental Disorders, University of Oslo, Oslo, Norway
| | - Zhongming Zhao
- Center for Precision Health, McWilliams School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX, USA.
- Department of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, USA.
- Faillace Department of Psychiatry and Behavioral Sciences, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX, USA.
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Dong X, Gong LL, Hong MZ, Pan JS. Investigating the shared genetic architecture between primary sclerosing cholangitis and inflammatory bowel diseases: a Mendelian randomization study. BMC Gastroenterol 2024; 24:77. [PMID: 38373892 PMCID: PMC10875759 DOI: 10.1186/s12876-024-03162-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/10/2023] [Accepted: 02/07/2024] [Indexed: 02/21/2024] Open
Abstract
BACKGROUND Several studies have found that primary sclerosing cholangitis (PSC) and inflammatory bowel disease (IBD) are closely associated. However, the direction and causality of their interactions remain unclear. Thus, this study employs Mendelian Randomization to explore whether there are causal associations of genetically predicted PSC with IBD. METHODS Genetic variants associated with the genome-wide association study (GWAS) of PSC were used as instrumental variables. The statistics for IBD, including ulcerative colitis (UC), and Crohn's disease (CD) were derived from GWAS. Then, five methods were used to estimate the effects of genetically predicted PSC on IBD, including MR Egger, Weighted median (WM), Inverse variance weighted (IVW), Simple mode, and Weighted mode. Last, we also evaluated the pleiotropic effects, heterogeneity, and a leave-one-out sensitivity analysis that drives causal associations to confirm the validity of the analysis. RESULTS Genetically predicted PSC was significantly associated with an increased risk of UC, according to the study (odds ratio [OR] IVW= 1.0014, P<0.05). However, none of the MR methods found significant causal evidence of genetically predicted PSC in CD (All P>0.05). The sensitivity analysis results showed that the causal effect estimations of genetically predicted PSC on IBD were robust, and there was no horizontal pleiotropy or statistical heterogeneity. CONCLUSIONS Our study corroborated a causal association between genetically predicted PSC and UC but did not between genetically predicted PSC and CD. Then, we identification of shared SNPs for PSC and UC, including rs3184504, rs9858213, rs725613, rs10909839, and rs4147359. More animal experiments and clinical observational studies are required to further clarify the underlying mechanisms of PSC and IBD.
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Affiliation(s)
- Xuan Dong
- Department of Hepatology, the First Affiliated Hospital of Fujian Medical University, Fuzhou, Fujian, China
- Hepatology Research Institute, Fujian Medical University, Fuzhou, Fujian, China
- Department of Hepatology, National Regional Medical Center, Binhai Campus of the First Affiliated Hosptial, Fujian Medical University, Fuzhou, Fujian, China
- Fujian Clinical Research Center for Hepatopathy and Intestinal Diseases, Fuzhou, Fujian, China
| | - Li-Li Gong
- Department of General Practice, Zhongshan Hospital, Xiamen University, Xiamen, Fujian, China
| | - Mei-Zhu Hong
- Department of Traditional Chinese Medicine, Mengchao Hepatobiliary Hospital of Fujian Medical University, Fuzhou, Fujian, China.
| | - Jin-Shui Pan
- Department of Hepatology, the First Affiliated Hospital of Fujian Medical University, Fuzhou, Fujian, China.
- Hepatology Research Institute, Fujian Medical University, Fuzhou, Fujian, China.
- Department of Hepatology, National Regional Medical Center, Binhai Campus of the First Affiliated Hosptial, Fujian Medical University, Fuzhou, Fujian, China.
- Fujian Clinical Research Center for Hepatopathy and Intestinal Diseases, Fuzhou, Fujian, China.
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Lu Z, Li X, Qi Y, Li B, Chen L. Genetic evidence of the causal relationship between chronic liver diseases and musculoskeletal disorders. J Transl Med 2024; 22:138. [PMID: 38321551 PMCID: PMC10845502 DOI: 10.1186/s12967-024-04941-1] [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: 09/25/2023] [Accepted: 01/30/2024] [Indexed: 02/08/2024] Open
Abstract
BACKGROUND Chronic liver diseases constitute a major global public health burden, posing a substantial threat to patients' daily lives and even survival due to the potential development of musculoskeletal disorders. Although the relationship between chronic liver diseases and musculoskeletal disorders has received extensive attention, their causal relationship has not been comprehensively and systematically investigated. METHODS This study aimed to assess the causal relationships between viral hepatitis, primary biliary cholangitis, primary sclerosing cholangitis (PSC), liver cirrhosis, and hepatocellular carcinoma (HCC) with osteoporosis, osteoarthritis, and sarcopenia through bidirectional Mendelian randomization (MR) research. The traits related to osteoporosis and osteoarthritis included both overall and site-specific phenotypes, and the traits linked to sarcopenia involved indicators of muscle mass and function. Random-effect inverse-variance weighted (IVW), weighted median, MR-Egger, and Causal Analysis Using the Summary Effect Estimates were used to evaluate causal effects, with IVW being the main analysis method. To enhance robustness, sensitivity analyses were performed using Cochran's Q test, MR-Egger intercept, MR-PRESSO global test, funnel plots, leave-one-out analyses, and latent causal variable model. RESULTS The forward MR analysis indicated that PSC can reduce forearm bone mineral density (beta = - 0.0454, 95% CI - 0.0798 to - 0.0110; P = 0.0098) and increase the risk of overall osteoarthritis (OR = 1.012, 95% CI 1.002-1.022; P = 0.0247), while HCC can decrease grip strength (beta = - 0.0053, 95% CI - 0.008 to - 0.0025; P = 0.0002). The reverse MR analysis did not find significant causal effects of musculoskeletal disorders on chronic liver diseases. Additionally, no heterogeneity or pleiotropy was detected. CONCLUSIONS These findings corroborate the causal effects of PSC on osteoporosis and osteoarthritis, as well as the causal impact of HCC on sarcopenia. Thus, the implementation of comprehensive preventive measures is imperative for PSC and HCC patients to mitigate the risk of musculoskeletal disorders, ultimately improving their quality of life.
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Affiliation(s)
- Zhengjie Lu
- Division of Joint Surgery and Sports Medicine, Department of Orthopedic Surgery, Zhongnan Hospital of Wuhan University, Wuhan, 430000, China
| | - Xuefei Li
- Department of Pathology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
| | - Yongjian Qi
- Department of Spine Surgery and Musculoskeletal Tumor, Department of Orthopedic Surgery, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China
| | - Bin Li
- Division of Joint Surgery and Sports Medicine, Department of Orthopedic Surgery, Zhongnan Hospital of Wuhan University, Wuhan, 430000, China.
| | - Liaobin Chen
- Division of Joint Surgery and Sports Medicine, Department of Orthopedic Surgery, Zhongnan Hospital of Wuhan University, Wuhan, 430000, China.
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Wacker EM, Uellendahl-Werth F, Bej S, Wolkenhauer O, Vesterhus M, Lieb W, Franke A, Karlsen TH, Folseraas T, Ellinghaus D. Whole blood RNA sequencing identifies transcriptional differences between primary sclerosing cholangitis and ulcerative colitis. JHEP Rep 2024; 6:100988. [PMID: 38304234 PMCID: PMC10832281 DOI: 10.1016/j.jhepr.2023.100988] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/10/2023] [Revised: 11/10/2023] [Accepted: 12/06/2023] [Indexed: 02/03/2024] Open
Abstract
Background & Aims Genetic and microbiome studies across patients with primary sclerosing cholangitis (PSC) and ulcerative colitis (UC) have indicated that UC in PSC is a separate disease entity to primary UC, but expression studies for PSC are lacking. Methods We conducted whole blood RNA sequencing experiments for 495 patients with UC, 220 patients with PSC (including 177 with UC), and 320 healthy controls from Germany and Norway. Differential expression analyses, gene ontology and coexpression analyses and random forest machine learning were performed to identify genes, ontologies and transcriptional features that discriminate diagnoses. Results The blood transcriptome in UC and PSC is dominated by neutrophil activation genes (e.g. S100A12). In UC, but not in PSC (neither PSC alone nor patients with an additional diagnosis of UC [PSC/UC]), ribosomal, mitochondrial, and energy metabolism genes are upregulated in conjunction with antibody transcript expression (MZB1, IGJ). In PSC, there is an increase in modules related to apoptosis and expression of genes of interferon-I-related ontologies. Random forest analysis could poorly discriminate PSC alone from PSC/UC (AUROC 0.56), but could discriminate PSC, UC, and controls with high accuracy (AUROC UC vs. controls 0.95, PSC vs. controls 0.88, UC vs. PSC 0.986). The main coexpression modules relevant for distinguishing PSC, UC, and controls are enriched in neutrophil degranulation and antibody production genes. Conclusions Supported by machine learning results, PSC and UC appear to be separate entities on a molecular level, while PSC/UC and PSC are indistinguishable. Impact and implications Clinical and genetic studies suggest that the colitis-like symptoms in primary sclerosing cholangitis (PSC) represent a different disease entity from primary ulcerative colitis (UC). The present study supports this assumption with transcriptomic data from whole blood and describes notable differences in gene expression between primary UC and PSC, providing insights into the still unclear pathophysiology of both diseases. These findings are of interest to scientists seeking to decipher the molecular pathophysiology of both diseases and provide evidence that a redefinition of the PSC-UC phenotype should be considered. The study practically supports future molecular research by providing a large transcriptomic whole blood reference cohort.
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Affiliation(s)
- Eike Matthias Wacker
- Institute of Clinical Molecular Biology, Christian-Albrechts-University of Kiel, Kiel, Germany
| | | | - Saptarshi Bej
- Department of Systems Biology and Bioinformatics, University of Rostock, Rostock, Germany
- Indian Institute of Science Education and Research, Thiruvananthapuram, India
| | - Olaf Wolkenhauer
- Department of Systems Biology and Bioinformatics, University of Rostock, Rostock, Germany
- Leibniz-Institute for Food Systems Biology at the Technical University Munich, Munich, Germany
- Stellenbosch Institute for Advanced Study (STIAS), Wallenberg Research Centre at Stellenbosch University, Stellenbosch, South Africa
| | - Mette Vesterhus
- Norwegian PSC Research Center, Department of Transplantation Medicine, Division of Surgery, Inflammatory Diseases and Transplantation, Oslo University Hospital Rikshospitalet and University of Oslo, Oslo, Norway
- Department of Medicine, Haraldsplass Deaconess Hospital, Bergen, Norway
- Department of Clinical Science, University of Bergen, Bergen, Norway
| | - Wolfgang Lieb
- Institute of Epidemiology, Christian-Albrechts-University of Kiel, Kiel, Germany
| | - Andre Franke
- Institute of Clinical Molecular Biology, Christian-Albrechts-University of Kiel, Kiel, Germany
| | - Tom Hemming Karlsen
- Research Institute for Internal Medicine, Division of Surgery, Inflammatory Diseases and Transplantation, Oslo University Hospital Rikshospitalet and University of Oslo, Oslo, Norway
| | - Trine Folseraas
- Research Institute for Internal Medicine, Division of Surgery, Inflammatory Diseases and Transplantation, Oslo University Hospital Rikshospitalet and University of Oslo, Oslo, Norway
| | - David Ellinghaus
- Institute of Clinical Molecular Biology, Christian-Albrechts-University of Kiel, Kiel, Germany
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Kanai S, Fujiwara H, Mizuno S, Kishikawa T, Nakatsuka T, Hamada T, Tanaka M, Arita J, Nakai Y, Isayama H, Kasuga M, Tateishi R, Tateishi K, Ushiku T, Hasegawa K, Koike K, Fujishiro M. Increased expression of TNFRSF14 and LIGHT in biliary epithelial cells of patients with primary sclerosing cholangitis. Dig Liver Dis 2024; 56:305-311. [PMID: 37722959 DOI: 10.1016/j.dld.2023.08.057] [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: 03/29/2023] [Revised: 07/03/2023] [Accepted: 08/27/2023] [Indexed: 09/20/2023]
Abstract
BACKGROUND AND AIMS There is a lack of biliary epithelial molecular markers for primary sclerosing cholangitis (PSC). We analyzed candidates from disease susceptibility genes identified in recent genome-wide association studies (GWAS). METHODS Expression levels of GWAS genes were analyzed in archival liver tissues of patients with PSC and controls. Immunohistochemical analysis was performed to evaluate expression levels in the biliary epithelia of PSC (N = 45) and controls (N = 12). Samples from patients with primary biliary cholangitis (PBC) were used as disease controls (N = 20). RESULTS Hepatic expression levels of ATXN2, HHEX, PRDX5, MST1, and TNFRSF14 were significantly altered in the PSC group. We focused on the immune-related receptor, TNFRSF14. Immunohistochemistry revealed that high expression of TNFRSF14 in biliary epithelial cells was observed only in the PSC group. In addition, the expression of LIGHT, which encodes a TNFRSF14-activating ligand, was increased in PSC liver. Immunohistochemistry showed that high expression of LIGHT was more common in PSC biliary epithelia (53%) than in the PBC (15%) or control (0%) groups; moreover, it was positively associated with fibrotic progression, although it was not an independent prognostic factor. CONCLUSIONS TNFRSF14 and LIGHT are promising candidate markers for PSC.
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Affiliation(s)
- Sachiko Kanai
- Department of Gastroenterology, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8655, Japan
| | - Hiroaki Fujiwara
- Department of Gastroenterology, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8655, Japan; Division of Gastroenterology, The Institute of Medical Science, Asahi Life Foundation, 2-2-6 Bakurocho, Chuo-ku, Tokyo, 103-0002, Japan.
| | - Suguru Mizuno
- Department of Gastroenterology, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8655, Japan; Department of Gastroenterology and Hepatology, Saitama Medical University, 38 Morohongo, Moroyama-cho, Iruma-gun, Saitama, 350-0495, Japan
| | - Takahiro Kishikawa
- Department of Gastroenterology, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8655, Japan
| | - Takuma Nakatsuka
- Department of Gastroenterology, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8655, Japan
| | - Tsuyoshi Hamada
- Department of Gastroenterology, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8655, Japan
| | - Mariko Tanaka
- Department of Pathology, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-0033, Japan
| | - Junichi Arita
- Hepato-Biliary-Pancreatic Division, Department of Surgery, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8655, Japan
| | - Yousuke Nakai
- Department of Gastroenterology, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8655, Japan
| | - Hiroyuki Isayama
- Department of Gastroenterology, Graduate School of Medicine, Juntendo University, 2-1-1 Hongo, Bunkyo-ku, Tokyo, 113-8421, Japan
| | - Masato Kasuga
- Division of Research, The Institute of Medical Science, Asahi Life Foundation, 2-2-6 Bakurocho, Chuo-ku, Tokyo, 103-0002, Japan
| | - Ryosuke Tateishi
- Department of Gastroenterology, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8655, Japan
| | - Keisuke Tateishi
- Department of Gastroenterology, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8655, Japan; Division of Gastroenterology, Department of Internal Medicine, St Marianna University School of Medicine, 2-16-1 Sugao, Miyamae-ku, Kawasaki, Kanagawa, 216-8511, Japan
| | - Tetsuo Ushiku
- Department of Pathology, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-0033, Japan
| | - Kiyoshi Hasegawa
- Hepato-Biliary-Pancreatic Division, Department of Surgery, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8655, Japan
| | - Kazuhiko Koike
- Department of Gastroenterology, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8655, Japan; Kanto Central Hospital of the Mutual Aid of Public School Teachers, 6-25-1 Kamiyoga, Setagaya-ku, Tokyo, 158-0098, Japan
| | - Mitsuhiro Fujishiro
- Department of Gastroenterology, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8655, Japan
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Chen L, Wang F, Zhang H, Cao B. Exploring potential causal associations between autoimmune diseases and colorectal cancer using bidirectional Mendelian randomization. Sci Rep 2024; 14:1557. [PMID: 38238429 PMCID: PMC10796354 DOI: 10.1038/s41598-024-51903-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2023] [Accepted: 01/11/2024] [Indexed: 01/22/2024] Open
Abstract
Several observational studies have revealed an association between autoimmune diseases (AIDs) and colorectal cancer (CRC), although their causal association remained controversial. Therefore, our study used a two-sample Mendelian randomization (MR) analysis to verify the causal association between AIDs and CRC. We employed three common MR approaches, including inverse variance weighted (IVW), weighted median, and MR-Egger methods, to assess the causal association between type 1 diabetes (T1D), systemic lupus erythematosus, rheumatoid arthritis, psoriasis, multiple sclerosis, juvenile idiopathic arthritis, celiac disease, and primary sclerosing cholangitis (PSC) and CRC. The reverse MR analysis was performed to assess the possibility of reverse causation. To evaluate the validity of the analysis, we also performed sensitivity analysis, such as the heterogeneity test, the horizontal pleiotropy test, and the leave-one-out sensitivity analysis, and validated the results in the validation cohort. Our results showed that genetically predicted T1D was nominally associated with a lower risk of CRC (IVW OR = 0.965, 95% CI = 0.939-0.992, P = 0.012). However, genetic susceptibility to psoriasis nominally increased the risk of CRC (IVW OR = 1.026, 95% CI = 1.002-1.050, P = 0.037). Genetically predicted PSC had a significant causal effect on the increasing risk of CRC (IVW OR = 1.038, 95% CI = 1.016-1.060, P = 5.85 × 10-4). Furthermore, the MR analysis between PSC and the CRC validation cohort indicated consistent results. We found no causal association between genetically predicted other five AIDs and CRC (P > 0.05). The results of reverse MR analysis showed that genetically predicted CRC had no causal effect on T1D, psoriasis, and PSC (P > 0.05). The sensitivity analysis demonstrated that the results of the MR analysis were reliable. Our findings help to understand the causal association between AIDs and CRC, which deserves further investigation.
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Affiliation(s)
- Lu Chen
- Department of Medical Oncology and Radiation Sickness, Peking University Third Hospital, Beijing, 100191, China
| | - Feifan Wang
- Gastrointestinal Disease Diagnosis and Treatment Center, The First Hospital of Hebei Medical University, Shijiazhuang, 050000, China
| | - Hua Zhang
- Research Center of Clinical Epidemiology, Peking University Third Hospital, Beijing, 100191, China
| | - Baoshan Cao
- Department of Medical Oncology and Radiation Sickness, Peking University Third Hospital, Beijing, 100191, China.
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Shu Y, Yang B, Liu X, Xu M, Deng C, Wu H. Causal effects from inflammatory bowel disease on liver function and disease: a two-sample Mendelian randomization study. Front Med (Lausanne) 2024; 10:1320842. [PMID: 38298515 PMCID: PMC10827874 DOI: 10.3389/fmed.2023.1320842] [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: 10/17/2023] [Accepted: 12/28/2023] [Indexed: 02/02/2024] Open
Abstract
Background Accumulating evidence has shown that patients with inflammatory bowel disease (IBD) have liver function abnormalities and are susceptible to liver diseases. However, the existence of a causal relationship between IBD and liver function or disease remains unclear. Methods A two-sample Mendelian randomization (MR) analysis was performed using genetic associations from publicly available genome-wide association studies (GWAS). These associations encompass ulcerative colitis (UC), Crohn's disease (CD), liver function traits, and liver disease phenotypes. The liver function traits comprised hepatic biochemistries, percent liver fat, and liver iron content from the UK Biobank. Furthermore, the liver disease phenotypes included cholelithiasis, non-alcoholic fatty liver disease (NAFLD), primary sclerosing cholangitis (PSC), and primary biliary cholangitis (PBC) in cohorts of European ancestry. The primary estimation used the inverse-variance weighted method, with GWAS of C-reactive protein (CRP) in the UK Biobank serving as a positive control outcome. Results Genetically predicted UC is causally associated with decreased levels of albumin (ALB) and liver iron content, while genetically predicted CD is causally associated with increased levels of alkaline phosphatase (ALP). Moreover, genetically predicted UC or CD increases the risk of PSC, and CD increases the risk of PBC. Neither UC nor CD causally increases the risk of cholelithiasis and NAFLD. Conclusion UC affects the levels of ALB and liver iron content, while CD affects the levels of ALP. Both UC and CD increase the risk of PSC, and CD increases the risk of PBC.
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Affiliation(s)
- Yufeng Shu
- Department of Gastroenterology, Third Xiangya Hospital, Central South University, Changsha, China
| | - Bocheng Yang
- Division of Plastic Surgery, Zhongshan Hospital Xiamen University, Xiamen, China
| | - Xuanyou Liu
- Department of Molecular Medicine, Mayo Clinic, Rochester, MN, United States
| | - Meihua Xu
- Department of Gastroenterology, Xiangya Hospital, Central South University, Changsha, China
| | - Chao Deng
- Department of Orthopaedics, Xiangya Hospital, Central South University, Changsha, China
| | - Hao Wu
- Department of Gastroenterology, Xiangya Hospital, Central South University, Changsha, China
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Cho JM, Koh JH, Kim SG, Lee S, Kim Y, Cho S, Kim K, Kim YC, Han SS, Lee H, Lee JP, Joo KW, Lim CS, Kim YS, Kim DK, Park S. Primary sclerosing cholangitis causally affects kidney function decline: A Mendelian randomization study. J Gastroenterol Hepatol 2024; 39:185-192. [PMID: 37726875 DOI: 10.1111/jgh.16355] [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: 07/11/2023] [Revised: 08/17/2023] [Accepted: 09/01/2023] [Indexed: 09/21/2023]
Abstract
BACKGROUND AND AIM The causal linkage between primary sclerosing cholangitis (PSC) and kidney function is unexplored despite their potential for long-term detrimental effects on kidney function. METHODS Two-sample summary-level Mendelian randomization (MR) study was conducted to identify the association between PSC and kidney function. The genetic variants were extracted from the PSC-specific multi-trait analyzed genome-wide association study (GWAS) of European ancestry. Summary-level data for kidney function traits, including estimated glomerular filtration rate (eGFR), annual eGFR decline, and chronic kidney disease (CKD), were obtained from the CKDGen consortium. Multiplicative random-effects inverse-variance weighted (MR-IVW), and a series of pleiotropy-robust analyses were performed to investigate the causal effects and ascertain their robustness. RESULTS Significant causal associations between genetically predicted PSC and kidney function traits were identified. Genetically predicted PSC was associated with decreased log-transformed eGFR (MR-IVW; beta = -0.41%; standard error [SE] = 0.02%; P < 0.001), increased rate of annual eGFR decline (MR-IVW; beta = 2.43%; SE = 0.18%; P < 0.001), and higher risk of CKD (MR-IVW; odds ratio = 1.07; 95% confidence interval = 1.06-1.08; P < 0.001). The main findings were supported by pleiotropy-robust analysis, including MR-Egger with bootstrapped error and weighted median. CONCLUSIONS Our study demonstrates that genetically predicted PSC is causally associated with kidney function impairment. Further studies are warranted to identify the underlying mechanisms.
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Affiliation(s)
- Jeong Min Cho
- Department of Internal Medicine, Seoul National University Hospital, Seoul, South Korea
| | - Jung Hun Koh
- Department of Internal Medicine, Seoul National University Hospital, Seoul, South Korea
| | - Seong Geun Kim
- Department of Internal Medicine, Inje University Sanggye Paik Hospital, Seoul, South Korea
| | - Soojin Lee
- Department of Internal Medicine, Uijeongbu Eulji University Medical Center, Seoul, South Korea
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, South Korea
| | - Yaerim Kim
- Department of Internal Medicine, Keimyung University School of Medicine, Daegu, South Korea
| | - Semin Cho
- Department of Internal Medicine, Chung-Ang University Gwangmyeong Hospital, Gwangmyeong, South Korea
| | - Kwangsoo Kim
- Transdisciplinary Department of Medicine and Advanced Technology, Seoul National University Hospital, Seoul, South Korea
| | - Yong Chul Kim
- Department of Internal Medicine, Seoul National University Hospital, Seoul, South Korea
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, South Korea
| | - Seung Seok Han
- Department of Internal Medicine, Seoul National University Hospital, Seoul, South Korea
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, South Korea
- Kidney Research Institute, Seoul National University, Seoul, South Korea
| | - Hajeong Lee
- Department of Internal Medicine, Seoul National University Hospital, Seoul, South Korea
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, South Korea
| | - Jung Pyo Lee
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, South Korea
- Kidney Research Institute, Seoul National University, Seoul, South Korea
- Department of Internal Medicine, Seoul National University Boramae Medical Center, Seoul, South Korea
| | - Kwon Wook Joo
- Department of Internal Medicine, Seoul National University Hospital, Seoul, South Korea
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, South Korea
- Kidney Research Institute, Seoul National University, Seoul, South Korea
| | - Chun Soo Lim
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, South Korea
- Kidney Research Institute, Seoul National University, Seoul, South Korea
- Department of Internal Medicine, Seoul National University Boramae Medical Center, Seoul, South Korea
| | - Yon Su Kim
- Department of Internal Medicine, Seoul National University Hospital, Seoul, South Korea
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, South Korea
- Kidney Research Institute, Seoul National University, Seoul, South Korea
- Department of Biomedical Sciences, Seoul National University College of Medicine, Seoul, South Korea
| | - Dong Ki Kim
- Department of Internal Medicine, Seoul National University Hospital, Seoul, South Korea
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, South Korea
- Kidney Research Institute, Seoul National University, Seoul, South Korea
| | - Sehoon Park
- Department of Internal Medicine, Seoul National University Hospital, Seoul, South Korea
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van Munster KN, Bergquist A, Ponsioen CY. Inflammatory bowel disease and primary sclerosing cholangitis: One disease or two? J Hepatol 2024; 80:155-168. [PMID: 37940453 DOI: 10.1016/j.jhep.2023.09.031] [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: 03/06/2023] [Revised: 09/01/2023] [Accepted: 09/29/2023] [Indexed: 11/10/2023]
Abstract
Primary sclerosing cholangitis (PSC) was declared one of the biggest unmet needs in hepatology during International Liver Congress 2016 in Berlin. Since then, not much has changed unfortunately, largely due to the still elusive pathophysiology of the disease. One of the most striking features of PSC is its association with inflammatory bowel disease (IBD), with the majority of patients with PSC being diagnosed with extensive colitis. This review describes the epidemiology of IBD in PSC, its specific phenotype, complications and potential pathophysiological mechanisms connecting the two diseases. Whether PSC is merely an extra-intestinal manifestation of IBD or if PSC and IBD are two distinct diseases that happen to share a common susceptibility that leads to a dual phenotype is debated. Implications for the management of the two diseases together are also discussed. Overall, this review summarises the available data in PSC-IBD and discusses whether PSC and IBD are one or two disease(s).
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Affiliation(s)
- Kim N van Munster
- Department of Gastroenterology and Hepatology, Amsterdam UMC, University of Amsterdam, the Netherlands
| | - Annika Bergquist
- Department of Medicine Huddinge, Division of Hepatology, Karolinska Institutet, Department of Upper GI Disease, Karolinska University Hospital, Stockholm, Sweden
| | - Cyriel Y Ponsioen
- Department of Gastroenterology and Hepatology, Amsterdam UMC, University of Amsterdam, the Netherlands.
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Li Y, Zhang J, Wen J, Liu M, Liu W, Li Y. Large-scale genome-wide association study to identify causal relationships and potential mediators between education and autoimmune diseases. Front Immunol 2023; 14:1249017. [PMID: 38146362 PMCID: PMC10749315 DOI: 10.3389/fimmu.2023.1249017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2023] [Accepted: 11/08/2023] [Indexed: 12/27/2023] Open
Abstract
Objectives Epidemiological studies suggested a potential connection between education and autoimmune disorders. This study investigated the possible cause-and-effect relationship using a Mendelian randomization approach. Methods We explored the causality between four education traits (n = 257,841~1,131,881) and 22 autoimmune diseases. The mediating role of smoking (632,802 individuals), BMI (681,275 individuals), alcohol (335,394 individuals), and income (397,751 individuals) was also investigated. Transcriptome-wide association study (TWAS) and enriched signaling pathways analysis were used to investigate the underlying biological mechanisms. Results Especially, higher cognitive performance was protective for psoriasis (odds ratio (OR) = 0.69, 95% confidence interval (CI) = 0.60-0.79, p = 6.12×10-8), rheumatoid arthritis (RA) (OR = 0.75, 95% CI = 0.67-0.83, p = 4.62×10-6), and hypothyroidism (OR = 0.83, 95% CI = 0.77-0.90, p = 9.82×10-6). Higher levels of educational attainment decreased risks of psoriasis (OR = 0.61, 95% CI = 0.52-0.72, p = 1.12×10-9), RA (OR = 0.68, 95% CI = 0.59-0.79, p = 1.56×10-7), and hypothyroidism (OR = 0.80, 95% CI = 0.72-0.88, p = 5.00×10-6). The completion of highest-level math class genetically downregulates the incidence of psoriasis (OR = 0.66, 95% CI = 0.58-0.76, p = 2.47×10-9), RA (OR = 0.71, 95% CI = 0.63-0.81, p = 5.28×10-8), and hypothyroidism (OR = 0.85, 95% CI = 0.79-0.92, p = 8.88×10-5). Higher self-reported math ability showed protective effects on Crohn's disease (CD) (OR = 0.67, 95% CI = 0.55-0.81, p = 4.96×10-5), RA (OR = 0.76, 95% CI = 0.67-0.87, p = 5.21×10-5), and psoriasis (OR = 0.76, 95% CI = 0.65-0.88, p = 4.08×10-4). Protein modification and localization, response to arsenic-containing substances may participate in the genetic association of cognitive performance on UC, RA, psoriasis, and hypothyroidism. According to mediation analyses, BMI, smoking, and income served as significant mediators in the causal connection between educational traits and autoimmune diseases. Conclusion Higher levels of education-related factors have a protective effect on the risk of several autoimmune disorders. Reducing smoking and BMI and promoting income equality can mitigate health risks associated with low education levels.
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Affiliation(s)
- Yingjie Li
- Department of Infectious Diseases, The Second Xiangya Hospital, Central South University, Changsha, China
- The Institution of Hepatology, Central South University, Changsha, China
| | - Jingwei Zhang
- Department of Neurosurgery, Xiangya Hospital, Central South University, Changsha, China
- Hypothalamic Pituitary Research Center, Xiangya Hospital, Central South University, Changsha, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China
| | - Jie Wen
- Department of Neurosurgery, Xiangya Hospital, Central South University, Changsha, China
- Hypothalamic Pituitary Research Center, Xiangya Hospital, Central South University, Changsha, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China
| | - Mingren Liu
- Department of Neurosurgery, Xiangya Hospital, Central South University, Changsha, China
- Hypothalamic Pituitary Research Center, Xiangya Hospital, Central South University, Changsha, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China
| | - Wanyao Liu
- Xiangya School of Medicine, Central South University, Changsha, China
| | - Yongzhen Li
- Department of Pediatrics, The Second Xiangya Hospital, Central South University, Changsha, China
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Rumker L, Sakaue S, Reshef Y, Kang JB, Yazar S, Alquicira-Hernandez J, Valencia C, Lagattuta KA, Mah-Som A, Nathan A, Powell JE, Loh PR, Raychaudhuri S. Identifying genetic variants that influence the abundance of cell states in single-cell data. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.11.13.566919. [PMID: 38014313 PMCID: PMC10680752 DOI: 10.1101/2023.11.13.566919] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/29/2023]
Abstract
Introductory ParagraphTo understand genetic mechanisms driving disease, it is essential but difficult to map how risk alleles affect the composition of cells present in the body. Single-cell profiling quantifies granular information about tissues, but variant-associated cell states may reflect diverse combinations of the profiled cell features that are challenging to predefine. We introduce GeNA (Genotype-Neighborhood Associations), a statistical tool to identify cell state abundance quantitative trait loci (csaQTLs) in high-dimensional single-cell datasets. Instead of testing associations to predefined cell states, GeNA flexibly identifies the cell states whose abundance is most associated with genetic variants. In a genome-wide survey of scRNA-seq peripheral blood profiling from 969 individuals,1GeNA identifies five independent loci associated with shifts in the relative abundance of immune cell states. For example, rs3003-T (p=1.96×10-11) associates with increased abundance of NK cells expressing TNF-α response programs. This csaQTL colocalizes with increased risk for psoriasis, an autoimmune disease that responds to anti-TNF treatments. Flexibly characterizing csaQTLs for granular cell states may help illuminate how genetic background alters cellular composition to confer disease risk.
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Affiliation(s)
- Laurie Rumker
- Center for Data Sciences, Brigham and Women’s Hospital, Boston, MA, USA
- Division of Genetics, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
- Division of Rheumatology, Inflammation, and Immunity, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Saori Sakaue
- Center for Data Sciences, Brigham and Women’s Hospital, Boston, MA, USA
- Division of Genetics, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
- Division of Rheumatology, Inflammation, and Immunity, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Yakir Reshef
- Center for Data Sciences, Brigham and Women’s Hospital, Boston, MA, USA
- Division of Genetics, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
- Division of Rheumatology, Inflammation, and Immunity, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Joyce B. Kang
- Center for Data Sciences, Brigham and Women’s Hospital, Boston, MA, USA
- Division of Genetics, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
- Division of Rheumatology, Inflammation, and Immunity, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Seyhan Yazar
- Translational Genomics, Garvan Institute of Medical Research, Sydney, Australia
- UNSW Cellular Genomics Futures Institute, University of New South Wales, Sydney, Australia
| | - Jose Alquicira-Hernandez
- Center for Data Sciences, Brigham and Women’s Hospital, Boston, MA, USA
- Division of Genetics, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
- Division of Rheumatology, Inflammation, and Immunity, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Cristian Valencia
- Center for Data Sciences, Brigham and Women’s Hospital, Boston, MA, USA
- Division of Genetics, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
- Division of Rheumatology, Inflammation, and Immunity, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Kaitlyn A Lagattuta
- Center for Data Sciences, Brigham and Women’s Hospital, Boston, MA, USA
- Division of Genetics, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
- Division of Rheumatology, Inflammation, and Immunity, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Annelise Mah-Som
- Division of Genetics, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
| | - Aparna Nathan
- Center for Data Sciences, Brigham and Women’s Hospital, Boston, MA, USA
- Division of Genetics, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
- Division of Rheumatology, Inflammation, and Immunity, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Joseph E. Powell
- Translational Genomics, Garvan Institute of Medical Research, Sydney, Australia
- UNSW Cellular Genomics Futures Institute, University of New South Wales, Sydney, Australia
| | - Po-Ru Loh
- Center for Data Sciences, Brigham and Women’s Hospital, Boston, MA, USA
- Division of Genetics, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Soumya Raychaudhuri
- Center for Data Sciences, Brigham and Women’s Hospital, Boston, MA, USA
- Division of Genetics, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
- Division of Rheumatology, Inflammation, and Immunity, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
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Mousavere I, Kalampokis G, Fousekis F, Karayiannis P, Baltayiannis G, Christodoulou D. An overview of recent treatment options for primary sclerosing cholangitis. Ann Gastroenterol 2023; 36:589-598. [PMID: 38023975 PMCID: PMC10662072 DOI: 10.20524/aog.2023.0834] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/28/2023] [Accepted: 09/26/2023] [Indexed: 12/01/2023] Open
Abstract
Primary sclerosing cholangitis (PSC) is a chronic hepatic dysfunction characterized by inflammatory and tissue-degenerative strictures of the biliary tree, leading to cirrhosis and cholangiocarcinoma. The pathophysiological mechanisms involve immune-mediated responses. Numerous treatment modalities targeting the inflammatory aspects have been suggested, but a consensus on the best treatment option is lacking. This study aims to review the most up-to-date treatment options for PSC.
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Affiliation(s)
- Ioanna Mousavere
- Department of Gastroenterology, University Hospital of Ioannina, Greece (Ioanna Mousavere, Fotios Fousekis, Gerasimos Baltayiannis, Dimitrios Christodoulou)
| | - Georgios Kalampokis
- Department of Internal Medicine, University Hospital of Ioannina, Greece (Georgios Kalampokis, Gerasimos Baltayiannis, Dimitrios Christodoulou)
| | - Fotios Fousekis
- Department of Gastroenterology, University Hospital of Ioannina, Greece (Ioanna Mousavere, Fotios Fousekis, Gerasimos Baltayiannis, Dimitrios Christodoulou)
| | - Peter Karayiannis
- Department of Microbiology and Molecular Virology, University of Nicosia, Cyprus (Peter Karayiannis)
| | - Gerasimos Baltayiannis
- Department of Gastroenterology, University Hospital of Ioannina, Greece (Ioanna Mousavere, Fotios Fousekis, Gerasimos Baltayiannis, Dimitrios Christodoulou)
| | - Dimitrios Christodoulou
- Department of Gastroenterology, University Hospital of Ioannina, Greece (Ioanna Mousavere, Fotios Fousekis, Gerasimos Baltayiannis, Dimitrios Christodoulou)
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44
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Zhang W, Lang R. Genetic link between primary sclerosing cholangitis and thyroid dysfunction: a bidirectional two-sample Mendelian randomization study. Front Immunol 2023; 14:1276459. [PMID: 37928559 PMCID: PMC10622799 DOI: 10.3389/fimmu.2023.1276459] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2023] [Accepted: 10/10/2023] [Indexed: 11/07/2023] Open
Abstract
Background Observational studies have demonstrated an association between primary sclerosing cholangitis (PSC) and thyroid dysfunction (TD). However, the causal relationship between PSC and TD remains uncertain. The purpose of this study is to investigate the causal associations and specific direction between these two conditions. Gaining insight into the potential causal relationship between PSC and TD is valuable for elucidating the pathogenesis of PSC and for devising innovative approaches for the prevention and treatment of PSC and its associated complications. Methods We conducted a bidirectional two-sample Mendelian randomization (MR) analysis to investigate the causal association between PSC and TD, such as autoimmune thyroid disease (AITD), thyroid cancer (TC), thyroid stimulating hormone (TSH), thyrotropin-releasing hormone (TRH), among others. PSC was the exposure variable, while TD was the outcome variable. To identify suitable instrumental variables (IVs), we utilized genome-wide association study (GWAS) datasets to select potential candidate single-nucleotide polymorphisms (SNPs). The primary statistical approach employed was the inverse-variance weighted (IVW) method, which was complemented by a series of sensitivity analyses to assess the robustness of the results by estimating heterogeneity and pleiotropy. Results We found that the causal associations between genetically predicted PSC and Graves' disease (GD), hyperthyroidism (IVW OR=1.230, 95%CI: 1.089-1.389, P=0.001; IVW OR=1.001, 95%CI: 1.000-1.002, P=0.000) were statistically significant. The reverse MR analysis indicated that genetic susceptibility to hyperthyroidism (P=0.000) and hypothyroidism (p=0.028) might be the risk of PSC. There was no statistically significant causal association observed between PSC and other TD (IVW P>0.05), with the exception of GD, hyperthyroidism, and hypothyroidism as determined through bidirectional two-sample analysis. To ensure the reliability of our findings, additional sensitivity analyses were conducted, including the leave-one-out (LOO) test, heterogeneity test, and pleiotropic test. Conclusion In this study, we conducted an investigation into the causal association between PSC and TD. Our findings indicate that PSC significantly elevates the susceptibility to GD and hyperthyroidism from a statistical perspective. These results shed light on the etiology of PSC and have implications for the management of patients with PSC.
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Affiliation(s)
| | - Ren Lang
- Department of Hepatobiliary Surgery, Beijing Chao-Yang Hospital Affiliated to Capital Medical University, Beijing, China
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45
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Khrom M, Li D, Naito T, Lee HS, Botwin GJ, Potdar AA, Boucher G, Yang S, Mengesha E, Dube S, Song K, McGovern DPB, Haritunians T. Sex-Dimorphic Analyses Identify Novel and Sex-Specific Genetic Associations in Inflammatory Bowel Disease. Inflamm Bowel Dis 2023; 29:1622-1632. [PMID: 37262302 PMCID: PMC10547236 DOI: 10.1093/ibd/izad089] [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: 05/11/2022] [Indexed: 06/03/2023]
Abstract
BACKGROUND Sex is an integral variable often overlooked in complex disease genetics. Differences between sexes have been reported in natural history, disease complications, and age of onset in inflammatory bowel disease (IBD). While association studies have identified >230 IBD loci, there have been a limited number of studies investigating sex differences underlying these genetic associations. METHODS We report the first investigation of sex-dimorphic associations via meta-analysis of a sex-stratified association study (34 579 IBD cases, 39 125 controls). In addition, we performed chromosome (chr) X-specific analyses, considering models of X inactivation (XCI) and XCI escape. Demographic and clinical characteristics were also compared between sexes. RESULTS We identified significant differences between sexes for disease location and perianal complication in Crohn's disease and disease extent in ulcerative colitis. We observed genome-wide-significant sex-dimorphic associations (P < 5 × 10-8) at loci not previously reported in large-scale IBD genetic studies, including at chr9q22, CARMIL1, and UBASH3A. We identified variants in known IBD loci, including in chr2p15 and within the major histocompatibility complex on chr6, exhibiting sex-specific patterns of association (P < 5 × 10-7 in one sex only). We identified 3 chrX associations with IBD, including a novel Crohn's disease susceptibility locus at Xp22. CONCLUSIONS These analyses identified novel IBD loci, in addition to characterizing sex-specific patterns of associations underlying sex-dimorphic associations. By elucidating the role of sex in IBD genetics, our study will help enhance our understanding of the differences between the sexes in IBD biology and underscores a need to move beyond conventional sex-combined analyses to appreciate the genetic architecture of IBD more comprehensively.
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Affiliation(s)
- Michelle Khrom
- F. Widjaja Inflammatory Bowel Disease Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Dalin Li
- F. Widjaja Inflammatory Bowel Disease Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Takeo Naito
- F. Widjaja Inflammatory Bowel Disease Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Ho-Su Lee
- Department of Biochemistry and Molecular Biology, University of Ulsan College of Medicine, Seoul, Korea
| | - Gregory J Botwin
- F. Widjaja Inflammatory Bowel Disease Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Alka A Potdar
- F. Widjaja Inflammatory Bowel Disease Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | | | | | | | - Shaohong Yang
- F. Widjaja Inflammatory Bowel Disease Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Emebet Mengesha
- F. Widjaja Inflammatory Bowel Disease Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Shishir Dube
- F. Widjaja Inflammatory Bowel Disease Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Kyuyoung Song
- Department of Biochemistry and Molecular Biology, University of Ulsan College of Medicine, Seoul, Korea
| | - Dermot P B McGovern
- F. Widjaja Inflammatory Bowel Disease Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Talin Haritunians
- F. Widjaja Inflammatory Bowel Disease Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA
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Fu Y, Li J, Zhu Y, Chen C, Liu J, Gu S, Zheng Y, Li Y. Causal effects of gut microbiome on autoimmune liver disease: a two-sample Mendelian randomization study. BMC Med Genomics 2023; 16:232. [PMID: 37789337 PMCID: PMC10548566 DOI: 10.1186/s12920-023-01670-0] [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: 06/04/2023] [Accepted: 09/21/2023] [Indexed: 10/05/2023] Open
Abstract
BACKGROUND Epidemiological studies have indicated a potential link between the gut microbiome and autoimmune liver disease (AILD) such as autoimmune hepatitis (AIH), primary biliary cholangitis (PBC), and primary sclerosing cholangitis (PSC). The relationship between the gut microbiome and autoimmune liver disease is still uncertain due to confounding variables. In our study, we aim to shed light on this relationship by employing a two-sample Mendelian randomization approach. METHODS We conducted a two-sample Mendelian randomization (MR) study using the R package "TwoSampleMR". The exposure data consisted of genetic variants associated with 194 bacterial traits obtained from the MiBioGen consortium. Summary statistics for AILD were obtained from the GWAS Catalog website. Furthermore, a series of sensitivity analyses were performed to validate the initial MR results. RESULTS There were two, four and three bacteria traits associated with an increased risk of AIH. PBC, and PSC respectively. In contrast, there were five, two and five bacteria traits associated with a decreased risk for AIH, PBC and PSC. Notably, the genus_Clostridium_innocuum_group showed a negative association with AIH (OR = 0.67, 95% CI: 0.49-0.93), and the genus_Actinomyces was found to be genetically associated with a decreased risk of PSC (OR = 0.62, 95% CI: 0.42-0.90). CONCLUSIONS Our study identified the causal impact of specific bacterial features on the risk of AILD subtypes. Particularly, the genus_Clostridium_innocuum_group and the genus_Actinomyces demonstrated significant protective effects against AIH and PSC respectively. These findings provide further support for the potential use of targeted probiotics in the management of AILD.
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Affiliation(s)
- Yugang Fu
- Department of Gastroenterology, Shanghai Municipal Hospital of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Zhijiang Middle Road 274#, Shanghai, Jing'an District, China
- Municipal Medical College of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, 200071, China
| | - Jiacheng Li
- Department of Gastroenterology, Shanghai Municipal Hospital of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Zhijiang Middle Road 274#, Shanghai, Jing'an District, China
- Municipal Medical College of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, 200071, China
| | - Yingying Zhu
- Department of Gastroenterology, Shanghai Municipal Hospital of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Zhijiang Middle Road 274#, Shanghai, Jing'an District, China
- Municipal Medical College of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, 200071, China
| | - Chong Chen
- Department of Gastroenterology, Shanghai Municipal Hospital of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Zhijiang Middle Road 274#, Shanghai, Jing'an District, China
- Municipal Medical College of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, 200071, China
| | - Jing Liu
- Department of Gastroenterology, Shanghai Municipal Hospital of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Zhijiang Middle Road 274#, Shanghai, Jing'an District, China
- Municipal Medical College of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, 200071, China
| | - Simin Gu
- Department of Gastroenterology, Shanghai Municipal Hospital of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Zhijiang Middle Road 274#, Shanghai, Jing'an District, China
- Municipal Medical College of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, 200071, China
| | - Yiyuan Zheng
- Department of Gastroenterology, Shanghai Municipal Hospital of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Zhijiang Middle Road 274#, Shanghai, Jing'an District, China
| | - Yong Li
- Department of Gastroenterology, Shanghai Municipal Hospital of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Zhijiang Middle Road 274#, Shanghai, Jing'an District, China.
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Pratt HE, Wu T, Elhajjajy S, Zhou J, Fitzgerald K, Fazzio T, Weng Z, Pratt DS. Beyond genome-wide association studies: Investigating the role of noncoding regulatory elements in primary sclerosing cholangitis. Hepatol Commun 2023; 7:e0242. [PMID: 37756045 PMCID: PMC10531193 DOI: 10.1097/hc9.0000000000000242] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/03/2023] [Accepted: 06/13/2023] [Indexed: 09/28/2023] Open
Abstract
BACKGROUND Genome-wide association studies (GWAS) have identified 30 risk loci for primary sclerosing cholangitis (PSC). Variants within these loci are found predominantly in noncoding regions of DNA making their mechanisms of conferring risk hard to define. Epigenomic studies have shown noncoding variants broadly impact regulatory element activity. The possible association of noncoding PSC variants with regulatory element activity has not been studied. We aimed to (1) determine if the noncoding risk variants in PSC impact regulatory element function and (2) if so, assess the role these regulatory elements have in explaining the genetic risk for PSC. METHODS Available epigenomic datasets were integrated to build a comprehensive atlas of cell type-specific regulatory elements, emphasizing PSC-relevant cell types. RNA-seq and ATAC-seq were performed on peripheral CD4+ T cells from 10 PSC patients and 11 healthy controls. Computational techniques were used to (1) study the enrichment of PSC-risk variants within regulatory elements, (2) correlate risk genotype with differences in regulatory element activity, and (3) identify regulatory elements differentially active and genes differentially expressed between PSC patients and controls. RESULTS Noncoding PSC-risk variants are strongly enriched within immune-specific enhancers, particularly ones involved in T-cell response to antigenic stimulation. In total, 250 genes and >10,000 regulatory elements were identified that are differentially active between patients and controls. CONCLUSIONS Mechanistic effects are proposed for variants at 6 PSC-risk loci where genotype was linked with differential T-cell regulatory element activity. Regulatory elements are shown to play a key role in PSC pathophysiology.
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Affiliation(s)
- Henry E. Pratt
- Program in Bioinformatics and Integrative Biology, Department of Biochemistry and Molecular Biotechnology, University of Massachusetts Medical School, Worcester, Massachusetts, USA
| | - Tong Wu
- Department of Molecular, Cell, and Cancer Biology, University of Massachusetts Chan Medical School, Worcester, Massachusetts, USA
| | - Shaimae Elhajjajy
- Program in Bioinformatics and Integrative Biology, Department of Biochemistry and Molecular Biotechnology, University of Massachusetts Medical School, Worcester, Massachusetts, USA
| | - Jeffrey Zhou
- Program in Innate Immunity, Department of Medicine, University of Massachusetts Chan Medical, School, Worcester, Massachusetts, USA
| | - Kate Fitzgerald
- Program in Innate Immunity, Department of Medicine, University of Massachusetts Chan Medical, School, Worcester, Massachusetts, USA
| | - Tom Fazzio
- Department of Molecular, Cell, and Cancer Biology, University of Massachusetts Chan Medical School, Worcester, Massachusetts, USA
| | - Zhiping Weng
- Program in Bioinformatics and Integrative Biology, Department of Biochemistry and Molecular Biotechnology, University of Massachusetts Medical School, Worcester, Massachusetts, USA
| | - Daniel S. Pratt
- Autoimmune & Cholestatic Liver Center, GI Division, Massachusetts General Hospital, Boston, Massachusetts, USA
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48
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Wang MH, Friton JJ, Raffals LE, Leighton JA, Pasha SF, Picco MF, Monroe K, Nix BD, Newberry RD, Faubion WA. Polygenic risk score predicts risk of primary sclerosing cholangitis in inflammatory bowel disease. BMJ Open Gastroenterol 2023; 10:e001141. [PMID: 37832963 PMCID: PMC10583098 DOI: 10.1136/bmjgast-2023-001141] [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: 02/28/2023] [Accepted: 09/08/2023] [Indexed: 10/15/2023] Open
Abstract
BACKGROUND Forty distinct primary sclerosing cholangitis (PSC) genomic loci have been identified through multiancestry meta-analyses. The polygenic risk score (PRS) could serve as a promising tool to discover unique disease behaviour, like PSC, underlying inflammatory bowel disease (IBD). AIM To test whether PRS indicates PSC risk in patients with IBD. MATERIALS AND METHODS Mayo Clinic and Washington University at St Louis IBD cohorts were used to test our hypothesis. PRS was modelled through the published PSC loci and weighted with their corresponding effect size. Logistic regression was applied to predict the PSC risk. RESULTS In total, 63 (5.6%) among 1130 patients with IBD of European ancestry had PSC. Among 381 ulcerative colitis (UC), 12% had PSC; in contrast to 1.4% in 761 Crohn disease (CD). Compared with IBD alone, IBD-PSC had significantly higher PRS (PSC risk: 3.0% at the lowest PRS quartile vs 7.2% at the highest PRS quartile, Ptrend =.03). In IBD subphenotypes subgroup analysis, multivariate analysis shows that UC-PSC is associated with more extensive UC disease (OR, 5.60; p=0.002) and younger age at diagnosis (p=0.02). In CD, multivariate analysis suggests that CD-PSC is associated with colorectal cancer (OR, 50; p=0.005). CONCLUSIONS We found evidence that patients with IBD with PSC presented with a clinical course difference from that of patients with IBD alone. PRS can influence PSC risk in patients with IBD. Once validated in an independent cohort, this may help identify patients with the highest likelihood of developing PSC.
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Affiliation(s)
- Ming-Hsi Wang
- Mayo Clinic, Mankato, Minnesota, USA
- Mayo Clinic, Rochester, Minnesota, USA
| | | | | | | | | | | | - Kelly Monroe
- Washington University in St Louis, St Louis, Missouri, USA
| | - Billy D Nix
- Washington University in St Louis, St Louis, Missouri, USA
| | | | - William A Faubion
- Mayo Clinic, Rochester, Minnesota, USA
- Mayo Clinic Scottsdale, Scottsdale, Arizona, USA
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49
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Liu B, Qin Z, Cai Z, Liu Z, Chen YL, Yin X, Yin Y, Peng X, Zhang B. Evaluating the Causal Association between Inflammatory Bowel Disease and Risk of Atherosclerotic Cardiovascular Disease: Univariable and Multivariable Mendelian Randomization Study. Biomedicines 2023; 11:2543. [PMID: 37760983 PMCID: PMC10526051 DOI: 10.3390/biomedicines11092543] [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: 07/26/2023] [Revised: 09/07/2023] [Accepted: 09/11/2023] [Indexed: 09/29/2023] Open
Abstract
BACKGROUND Observational studies suggested that inflammatory bowel disease (IBD) (i.e., Crohn's disease [CD] and ulcerative colitis [UC]) is associated with an increased risk of atherosclerotic cardiovascular disease (ASCVD), including coronary artery disease (CAD) and ischemic stroke. However, it is still unclear whether the observed associations causally exist. Thus, we aim to examine the potential effect of IBD, CD, and UC on the risk of CAD and ischemic stroke, using a two-sample Mendelian randomization (MR) study. METHODS Genetic instruments for IBD, CD, and UC were retrieved from the latest published genome-wide association studies (GWASs) of European ancestry. GWAS summary data for instrument-outcome associations were gathered from four independent resources: CARDIoGRAMplusC4D Consortium, MEGASTROKE consortium, FinnGen, and UK Biobank. The inverse variance weighted (IVW) method and multiple pleiotropy-robust approaches were conducted and, subsequently, combined in a fixed-effect meta-analysis. Moreover, multivariable MR (MVMR) analysis was conducted to adjust for potential influencing instrumental variables. RESULTS The IVW method revealed no causal effect of IBD on the risk of CAD (overall IBD on CAD: OR 1.003, 95%CI 0.982 to 1.025; CD on CAD: OR 0.997, 95%CI 0.978 to 1.016; UC on CAD: OR 0.986, 95%CI 0.963 to 1.010) or the risk of ischemic stroke (overall IBD on ischemic stroke: OR 0.994, 95%CI 0.970 to 1.018; CD on ischemic stroke: OR 0.996, 95%CI 0.979 to 1.014; UC on ischemic stroke: OR 0.999, 95%CI 0.978 to 1.020). The results of the meta-analysis and MVMR remained consistent. CONCLUSION Our MR analysis does not support a causal effect of IBD on CAD and ischemic stroke, and previous results from observational studies might be biased through uncontrolled confoundings (such as IBD-specific medications and detection bias, etc.) that warrant further research.
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Affiliation(s)
- Baike Liu
- Gastric Cancer Center, Department of General Surgery, West China Hospital, Sichuan University, Chengdu 610041, China
- State Key Laboratory of Biotherapy, Sichuan University, Chengdu 610041, China
| | - Zijian Qin
- Department of Biotherapy and National Clinical Research Center for Geriatrics, Cancer Center, West China Hospital, Sichuan University, Chengdu 610041, China
| | - Zhaolun Cai
- Gastric Cancer Center, Department of General Surgery, West China Hospital, Sichuan University, Chengdu 610041, China
- State Key Laboratory of Biotherapy, Sichuan University, Chengdu 610041, China
| | - Zheran Liu
- Department of Biotherapy and National Clinical Research Center for Geriatrics, Cancer Center, West China Hospital, Sichuan University, Chengdu 610041, China
| | - Yun-Lin Chen
- Department of Cardiology, The 2nd Affiliated Hospital of Chongqing Medical University, Chongqing 400010, China
| | - Xiaonan Yin
- Gastric Cancer Center, Department of General Surgery, West China Hospital, Sichuan University, Chengdu 610041, China
- State Key Laboratory of Biotherapy, Sichuan University, Chengdu 610041, China
| | - Yuan Yin
- Gastric Cancer Center, Department of General Surgery, West China Hospital, Sichuan University, Chengdu 610041, China
- State Key Laboratory of Biotherapy, Sichuan University, Chengdu 610041, China
| | - Xingchen Peng
- Department of Biotherapy and National Clinical Research Center for Geriatrics, Cancer Center, West China Hospital, Sichuan University, Chengdu 610041, China
| | - Bo Zhang
- Gastric Cancer Center, Department of General Surgery, West China Hospital, Sichuan University, Chengdu 610041, China
- State Key Laboratory of Biotherapy, Sichuan University, Chengdu 610041, China
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50
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Ye Z, Liu M, He P, Wu Q, Yang S, Zhang Y, Zhou C, Zhang Y, Gan X, Sun J, Qin X. Various ambient air pollutants, residential green spaces, fibrosis 4 scores, genetic susceptibility, and risk of severe liver disease. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2023; 263:115246. [PMID: 37453269 DOI: 10.1016/j.ecoenv.2023.115246] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/07/2023] [Revised: 07/07/2023] [Accepted: 07/08/2023] [Indexed: 07/18/2023]
Abstract
BACKGROUND The relationship of air pollutants and residential exposure to greenspace with severe liver disease remains inconclusive. OBJECTIVE Our objective was to assess the relationship of joint exposure to air pollutants, residential exposure to greenspaces with new-onset severe liver disease. METHODS We included 427,697 participants without prior liver diseases from UK Biobank. A weighted air pollution score was calculated based on PM2.5, PM10, PM2.5-10, NO2, and NOX. The percentage of land coverage by residential greenspaces was estimated using land use data. The primary outcome was new-onset severe liver disease, defined as a composite outcome including hospitalization or death due to compensated or decompensated liver cirrhosis, liver failure, and hepatocellular carcinoma. RESULTS During a median follow-up of 12.0 years, 4572 participants developed severe liver disease. A higher air pollution score was significantly associated with an increased risk of new-onset severe liver disease (per SD increment; adjusted hazard ratio [HR],1.07; 95% confidence interval [CI],1.04-1.10). Moreover, residential greenspace coverage was inversely associated with new-onset severe liver disease (per SD increment; adjusted HR, 0.95; 95% CI,0.92-0.98). Genetic risks of liver cirrhosis did not significantly modify the associations (both P-interactions >0.05). However, we observed a stronger positive association between air pollution scores and new-onset severe liver disease in individuals with higher fibrosis-4 (FIB-4) scores, lower residential greenspaces, hypertension, and smokers (all P-interactions <0.05). Similarly, a more pronounced inverse association between residential exposure to greenspaces and new-onset severe liver disease was found in smokers and individuals with higher FIB-4 scores (both P-interactions<0.05). CONCLUSIONS Our findings suggest a positive association between air pollution scores and the risk of new-onset severe liver disease, while residential greenspaces show an inverse association. These results underscore the importance of maintaining high exposure to green space and reducing air pollution to prevent serious liver disease.
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Affiliation(s)
- Ziliang Ye
- Division of Nephrology, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China; National Clinical Research Center for Kidney Disease, China; State Key Laboratory of Organ Failure Research, China; Guangdong Provincial Institute of Nephrology, China; Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou 510515, China
| | - Mengyi Liu
- Division of Nephrology, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China; National Clinical Research Center for Kidney Disease, China; State Key Laboratory of Organ Failure Research, China; Guangdong Provincial Institute of Nephrology, China; Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou 510515, China
| | - Panpan He
- Division of Nephrology, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China; National Clinical Research Center for Kidney Disease, China; State Key Laboratory of Organ Failure Research, China; Guangdong Provincial Institute of Nephrology, China; Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou 510515, China
| | - Qimeng Wu
- Division of Nephrology, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China; National Clinical Research Center for Kidney Disease, China; State Key Laboratory of Organ Failure Research, China; Guangdong Provincial Institute of Nephrology, China; Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou 510515, China
| | - Sisi Yang
- Division of Nephrology, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China; National Clinical Research Center for Kidney Disease, China; State Key Laboratory of Organ Failure Research, China; Guangdong Provincial Institute of Nephrology, China; Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou 510515, China
| | - Yanjun Zhang
- Division of Nephrology, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China; National Clinical Research Center for Kidney Disease, China; State Key Laboratory of Organ Failure Research, China; Guangdong Provincial Institute of Nephrology, China; Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou 510515, China
| | - Chun Zhou
- Division of Nephrology, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China; National Clinical Research Center for Kidney Disease, China; State Key Laboratory of Organ Failure Research, China; Guangdong Provincial Institute of Nephrology, China; Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou 510515, China
| | - Yuanyuan Zhang
- Division of Nephrology, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China; National Clinical Research Center for Kidney Disease, China; State Key Laboratory of Organ Failure Research, China; Guangdong Provincial Institute of Nephrology, China; Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou 510515, China
| | - Xiaoqin Gan
- Division of Nephrology, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China; National Clinical Research Center for Kidney Disease, China; State Key Laboratory of Organ Failure Research, China; Guangdong Provincial Institute of Nephrology, China; Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou 510515, China
| | - Jian Sun
- State Key Laboratory of Organ Failure Research, China; Guangdong Provincial Key Laboratory of Viral Hepatitis Research, Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China.
| | - Xianhui Qin
- Division of Nephrology, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China; National Clinical Research Center for Kidney Disease, China; State Key Laboratory of Organ Failure Research, China; Guangdong Provincial Institute of Nephrology, China; Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou 510515, China.
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