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Huang K, Huang S, Xiong M. Correlations between genetically predicted lipid-lowering drug targets and inflammatory bowel disease. Lipids Health Dis 2024; 23:31. [PMID: 38287401 PMCID: PMC10823737 DOI: 10.1186/s12944-024-02026-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2023] [Accepted: 01/21/2024] [Indexed: 01/31/2024] Open
Abstract
BACKGROUND Millions of individuals globally suffer from Inflammatory bowel diseases (IBDs). There is a dearth of large population-based investigations on lipid metabolism and IBDs, and it is unclear whether lipid-lowering drugs target IBDs causally. Consequently, the aim of this study was to investigate the effects of lipid-lowering medication targets on the occurrence and progression of IBDs. METHODS Among the more than 400,000 participants in the UK Biobank cohort and the more than 170,000 participants in the Global Lipids Genetics Consortium, a total of nine genes linked to lipid-lowering drug targets were obtained (ABCG5/ABCG8, APOB, APOC3, LDLR, LPL, HMGCR, NPC1L1, PCSK9, and PPARA). IBD data were acquired from de Lange et al. (patients/sample size of IBDs: 25042/59957; ulcerative colitis (UC): 12366/45,975; Crohn's disease (CD): 12194/40,266) and the FinnGen cohort (patients/total sample size of IBDs: 4420/176,899; CD: 1520/171,906; UC: 3325/173,711). All four datasets were cross-combined for validation via Mendelian randomization analysis, and potential mediating factors were explored via mediation analysis. RESULTS Genetically proxied APOC3 inhibition was related to increased IBD risk (odds ratio (95% confidence interval): 0.87 (0.80-0.95); P < 0.01) and UC risk (0.83 (0.73-0.94); P < 0.01). IBD and CD risk were reduced by genetic mimicry of LDLR and LPL enhancements, respectively (odds ratioLDLR: 1.18 (1.03-1.36); P = 0.018; odds ratioCD: 1.26 (1.11-1.43); P = 2.60E-04). Genetically proxied HMGCR inhibition was associated with increased CD risk (0.68 (0.50-0.94); P = 0.018). These findings were confirmed through Mendelian analysis of the cross-combination of four separate datasets. APOC3-mediated triglyceride levels may contribute to IBDs partly through mediated triglycerides, Clostridium sensu stricto 1, Clostridiaceae 1, or the Lachnospiraceae FCS020 group. LDLR enhancement may contribute to IBDs partly through increasing Lactobacillaceae. CONCLUSION Vigilance is required to prevent adverse effects on IBDs (UC) for patients receiving volanesorsen (an antisense oligonucleotide targeting ApoC3 mRNA) and adverse effects on CD for statin users. LPL and LDLR show promise as candidate drug targets for CD and IBD, respectively, with mechanisms that are potentially independent of their lipid-lowering effects.
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Affiliation(s)
- Kuiyuan Huang
- Department of Gastroenterology, The Second Affiliated Hospital of Nanchang University, Jiangxi, 330000, China
| | - Shenan Huang
- Department of Gastroenterology, The Second Affiliated Hospital of Nanchang University, Jiangxi, 330000, China
| | - Ming Xiong
- Department of Gastroenterology, The Second Affiliated Hospital of Nanchang University, Jiangxi, 330000, China.
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Bao W, You Y, Ni J, Hou H, Lyu J, Feng G, Wang Y, You K, Zhang S, Zhang L, Cao X, Wang X, Li H, Li H, Xu J, Liu C, Luo X, Du P, Chen D, Shen X. Inhibiting sorting nexin 10 promotes mucosal healing through SREBP2-mediated stemness restoration of intestinal stem cells. Sci Adv 2023; 9:eadh5016. [PMID: 37647408 PMCID: PMC10468130 DOI: 10.1126/sciadv.adh5016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/07/2023] [Accepted: 07/28/2023] [Indexed: 09/01/2023]
Abstract
Intestinal stem cell (ISC) is a promising therapeutic target for inflammatory bowel disease. Cholesterol availability is critical for ISC stemness. Low plasma cholesterol is a typical feature of Crohn's disease (CD); however, its impact on mucosal healing remains unclear. Here, we identified an essential role of sorting nexin 10 (SNX10) in maintaining the stemness of ISCs. SNX10 expression in intestinal tissues positively correlates with the severity of human CD and mouse colitis. Conditional SNX10 knockout in intestinal epithelial cells or ISCs promotes intestinal mucosal repair by maintaining the ISC population associated with increased intracellular cholesterol synthesis. Disassociation of ERLIN2 with SCAP by SNX10 deletion enhances the activation of SREBP2, resulting in increased cholesterol biosynthesis. DC-SX029, a small-molecule inhibitor of SNX10, was used to verify the druggable potential of SNX10 for the treatment of patients with CD. Our study provides a strategy for mucosal healing through SREBP2-mediated stemness restoration of ISCs.
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Affiliation(s)
- Weilian Bao
- Department of Pharmacology and the Key Laboratory of Smart Drug Delivery Ministry of Education, School of Pharmacy, Fudan University, Shanghai, China
- Department of Natural Medicine, School of Pharmacy, Fudan University, Shanghai, China
| | - Yan You
- Department of Pharmacology and the Key Laboratory of Smart Drug Delivery Ministry of Education, School of Pharmacy, Fudan University, Shanghai, China
| | - Jiahui Ni
- Department of Pharmacology and the Key Laboratory of Smart Drug Delivery Ministry of Education, School of Pharmacy, Fudan University, Shanghai, China
| | - Hui Hou
- Drug Discovery and Design Center, State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, China
| | - Jiaren Lyu
- Department of Pharmacology and the Key Laboratory of Smart Drug Delivery Ministry of Education, School of Pharmacy, Fudan University, Shanghai, China
| | - Guize Feng
- Department of Pharmacology and the Key Laboratory of Smart Drug Delivery Ministry of Education, School of Pharmacy, Fudan University, Shanghai, China
| | - Yirui Wang
- Department of Pharmacology and the Key Laboratory of Smart Drug Delivery Ministry of Education, School of Pharmacy, Fudan University, Shanghai, China
| | - Keyuan You
- Department of Pharmacology and the Key Laboratory of Smart Drug Delivery Ministry of Education, School of Pharmacy, Fudan University, Shanghai, China
| | - Sulin Zhang
- Drug Discovery and Design Center, State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, China
| | - Lijie Zhang
- Department of Radiation Oncology, Fudan University Shanghai Cancer Center, Shanghai, China
| | - Xinyue Cao
- Department of Pharmacology and the Key Laboratory of Smart Drug Delivery Ministry of Education, School of Pharmacy, Fudan University, Shanghai, China
| | - Xu Wang
- Department of Pharmacology and the Key Laboratory of Smart Drug Delivery Ministry of Education, School of Pharmacy, Fudan University, Shanghai, China
| | - Haidong Li
- Department of Pharmacology and the Key Laboratory of Smart Drug Delivery Ministry of Education, School of Pharmacy, Fudan University, Shanghai, China
| | - Hong Li
- Department of Pharmacology and the Key Laboratory of Smart Drug Delivery Ministry of Education, School of Pharmacy, Fudan University, Shanghai, China
| | - Jiake Xu
- School of Biomedical Sciences, University of Western Australia, Perth, WA, Australia
- Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
| | - Chenying Liu
- Department of Colorectal and Anal Surgery, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai Colorectal Cancer Research Center, Shanghai, China
| | - Xiaomin Luo
- Drug Discovery and Design Center, State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, China
| | - Peng Du
- Department of Colorectal and Anal Surgery, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai Colorectal Cancer Research Center, Shanghai, China
| | - Daofeng Chen
- Department of Natural Medicine, School of Pharmacy, Fudan University, Shanghai, China
| | - Xiaoyan Shen
- Department of Pharmacology and the Key Laboratory of Smart Drug Delivery Ministry of Education, School of Pharmacy, Fudan University, Shanghai, China
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Aljabban J, Rohr M, Borkowski VJ, Nemer M, Cohen E, Hashi N, Aljabban H, Boateng E, Syed S, Mohammed M, Mukhtar A, Hadley D, Panahiazar M. Probing predilection to Crohn's disease and Crohn's disease flares: A crowd-sourced bioinformatics approach. J Pathol Inform 2022; 13:100094. [PMID: 36268056 PMCID: PMC9576970 DOI: 10.1016/j.jpi.2022.100094] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022] Open
Abstract
Background Crohn's Disease (CD) is an inflammatory disease of the gastrointestinal tract that affects millions of patients. While great strides have been made in treatment, namely in biologic therapy such as anti-TNF drugs, CD remains a significant health burden. Method We conducted two meta-analyses using our STARGEO platform to tag samples from Gene Expression Omnibus. One analysis compares inactive colonic biopsies from CD patients to colonic biopsies from healthy patients as a control and the other compares colonic biopsies from active CD lesions to inactive lesions. Separate tags were created to tag colonic samples from inflamed biopsies (total of 65 samples) and quiescent tissue in CD patients (total of 39 samples), and healthy tissue from non-CD patients (total of 30 samples). Results from the two meta-analyses were analyzed using Ingenuity Pathway Analysis. Results For the inactive CD vs healthy tissue analysis, we noted FXR/RXR and LXR/RXR activation, superpathway of citrulline metabolism, and atherosclerosis signaling as top canonical pathways. The top upstream regulators include genes implicated in innate immunity, such as TLR3 and HNRNPA2B1, and sterol regulation through SREBF2. In addition, the sterol regulator SREBF2, lipid metabolism was the top disease network identified in IPA (Fig. 1). Top upregulated genes hold implications in innate immunity (DUOX2, REG1A/1B/3A) and cellular transport and absorption (ABCG5, NPC1L1, FOLH1, and SLC6A14). Top downregulated genes largely held roles in cell adhesion and integrity, including claudin 8, PAQR5, and PRKACB.For the active vs inactive CD analysis, we found immune cell adhesion and diapedesis, hepatic fibrosis/hepatic stellate cell activation, LPS/IL-1 inhibition of RXR function, and atherosclerosis as top canonical pathways. Top upstream regulators included inflammatory mediators LPS, TNF, IL1B, and TGFB1. Top upregulated genes function in the immune response such as IL6, CXCL1, CXCR2, MMP1/7/12, and PTGS2. Downregulated genes dealt with cellular metabolism and transport such as CPO, RBP2, G6PC, PCK1, GSTA1, and MEP1B. Conclusion Our results build off established and recently described research in the field of CD. We demonstrate the use of our user-friendly platform, STARGEO, in investigating disease and finding therapeutic avenues.
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Affiliation(s)
- Jihad Aljabban
- University of Wisconsin Hospitals and Clinics, Madison, WI, United States,Corresponding author.
| | - Michael Rohr
- University of Central Florida College of Medicine, Orlando, FL, United States
| | | | - Mary Nemer
- University of Wisconsin Hospitals and Clinics, Madison, WI, United States
| | - Eli Cohen
- Vanderbilt University Medical Center, Nashville, TN, United States
| | - Naima Hashi
- Mayo Clinic Minnesota, Rochester, MN, United States
| | | | - Emmanuel Boateng
- Vanderbilt University Medical Center, Nashville, TN, United States
| | - Saad Syed
- Northwestern Memorial Hospital, Chicago, IL, United States
| | | | - Ali Mukhtar
- Columbia University Vagelos College of Physicians and Surgeons, New York, NY, United States
| | - Dexter Hadley
- University of Central Florida College of Medicine, Orlando, FL, United States
| | - Maryam Panahiazar
- University of California San Francisco, San Francisco, CA, United States
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Zou J, Liu C, Jiang S, Qian D, Duan J. Cross Talk between Gut Microbiota and Intestinal Mucosal Immunity in the Development of Ulcerative Colitis. Infect Immun 2021; 89:e0001421. [PMID: 33526559 PMCID: PMC8370674 DOI: 10.1128/iai.00014-21] [Citation(s) in RCA: 29] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023] Open
Abstract
Ulcerative colitis (UC), a nonspecific inflammatory disease, is characterized by inflammation and mucosal damage in the colon, and its prevalence in the world is increasing. Nevertheless, the exact pathogenesis of UC is still unclear. Accumulating data have suggested that its pathogenesis is multifactorial, involving genetic predisposition, environmental factors, microbial dysbiosis, and dysregulated immune responses. Generally, UC is aroused by inappropriate immune activation based on the interaction of host and intestinal microbiota. The relationship between microbiota and host immune system in the pathogenesis of UC is complicated. However, increasing evidence indicates that the shift of microbiota composition can substantially influence intestinal immunity. In this review, we primarily focus on the delicate balance between microbiota and gut mucosal immunity during UC progression.
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Affiliation(s)
- Junfeng Zou
- Jiangsu Collaborative Innovation Center of Chinese Medicinal Resources Industrialization, Nanjing University of Chinese Medicine, Nanjing, People’s Republic of China
| | - Chen Liu
- Jiangsu Collaborative Innovation Center of Chinese Medicinal Resources Industrialization, Nanjing University of Chinese Medicine, Nanjing, People’s Republic of China
| | - Shu Jiang
- Jiangsu Collaborative Innovation Center of Chinese Medicinal Resources Industrialization, Nanjing University of Chinese Medicine, Nanjing, People’s Republic of China
| | - Dawei Qian
- Jiangsu Collaborative Innovation Center of Chinese Medicinal Resources Industrialization, Nanjing University of Chinese Medicine, Nanjing, People’s Republic of China
| | - Jinao Duan
- Jiangsu Collaborative Innovation Center of Chinese Medicinal Resources Industrialization, Nanjing University of Chinese Medicine, Nanjing, People’s Republic of China
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