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Liu Q, Jiang Y, Frisell T, Stridh P, Shchetynsky K, Alfredsson L, Kockum I, Manouchehrinia A, Jiang X. Shared aetiology underlying multiple sclerosis and other immune mediated inflammatory diseases: Swedish familial co-aggregation and large-scale genetic correlation analyses. J Autoimmun 2024; 148:103294. [PMID: 39084084 DOI: 10.1016/j.jaut.2024.103294] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2023] [Revised: 06/22/2024] [Accepted: 07/22/2024] [Indexed: 08/02/2024]
Abstract
BACKGROUND While multiple sclerosis (MS) affects less than 1 % of the general population, immune mediated inflammatory diseases (IMIDs) collectively influence 5-10 % of the population. Understanding familial co-aggregation of MS and other IMIDs carries important clinical and public health implications that will enable early detection and personalized treatment. OBJECTIVE To estimate the familial association between MS and other IMIDs and to quantify their shared genetic basis. DESIGN Register-based multi-generational nested case-control familial co-aggregation study and genetic correlation study. SETTING Sweden. PARTICIPANTS 24,995 individuals with MS matched with 253,870 controls and 1,283,502 first-degree relatives (mothers, fathers, full siblings, and offspring) for familial co-aggregation analysis; population of European ancestry for genetic correlation analysis. MEASUREMENTS Logistic regressions with adjustment for covariates were used to estimate the odds ratios (ORs) of developing MS in individuals with first-degree relatives diagnosed with IMIDs compared to those without such family history. Pairwise genome-wide genetic correlations were estimated with linkage-disequilibrium score regression. RESULTS We observed an OR for familial co-aggregation of MS of 1.09 (95 % confidence interval (95%CI) = 1.07-1.11) in families with IMIDs history compared to families without. The association remained broadly consistent after stratification by sex concordance of relative pairs and by kinships. 18 IMID subtypes showed a familial association with MS, 7 of which including other acute widespread myelin destruction, encephalitis or myelitis or encephalomyelitis, inflammatory bowel disease, autoimmune thyroid diseases, systemic lupus erythematosus, other inflammatory system diseases, and sarcoidosis withstood multiple correction. Genetic correlations further revealed a shared genetic basis between 7 IMID subtypes with MS. CONCLUSION We demonstrated a modest familial co-aggregation of MS with several IMIDs, and such association is likely due to shared genetic factors.
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Affiliation(s)
- Qianwen Liu
- Departement of Clinical Neuroscience, Karolinska Institutet, Solna, Sweden
| | - Yuan Jiang
- Departement of Clinical Neuroscience, Karolinska Institutet, Solna, Sweden
| | - Thomas Frisell
- Clinical Epidemiology Division, Department of Medicine Solna, Karolinska Institutet, Solna, Sweden
| | - Pernilla Stridh
- Departement of Clinical Neuroscience, Karolinska Institutet, Solna, Sweden
| | | | - Lars Alfredsson
- Departement of Clinical Neuroscience, Karolinska Institutet, Solna, Sweden; Institute of Environmental Medicine, Karolinska Institutet, Solna, Sweden
| | - Ingrid Kockum
- Departement of Clinical Neuroscience, Karolinska Institutet, Solna, Sweden
| | - Ali Manouchehrinia
- Departement of Clinical Neuroscience, Karolinska Institutet, Solna, Sweden.
| | - Xia Jiang
- Departement of Clinical Neuroscience, Karolinska Institutet, Solna, Sweden.
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Xu W, Zhang H, Wan S, Xie B, Song X. Genetic links between atopy, allergy, and alopecia areata: insights from a Mendelian randomization study. ALLERGY, ASTHMA, AND CLINICAL IMMUNOLOGY : OFFICIAL JOURNAL OF THE CANADIAN SOCIETY OF ALLERGY AND CLINICAL IMMUNOLOGY 2024; 20:32. [PMID: 38678274 PMCID: PMC11055271 DOI: 10.1186/s13223-024-00892-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/06/2024] [Accepted: 04/22/2024] [Indexed: 04/29/2024]
Abstract
BACKGROUND Alopecia areata (AA), a prevalent form of autoimmune hair loss, has a not well-defined relationship with atopic and allergic disorders, including eczema, hay fever, and asthma. OBJECTIVES This study aims to elucidate the genetic relationship between atopy, allergies, and alopecia areata (AA) using Mendelian randomization. We hypothesize that atopic and allergic conditions contribute to the genetic predisposition of AA. METHODS We analyzed extensive genetic data from Genome-wide Association Studies (GWAS) involving over one million individuals. This analysis focused on assessing the genetic correlation between AA and various allergic conditions, including hay fever, eczema, asthma, and allergies to pollen, dust, and cats. The inverse variance weighted method served as our primary analytical tool, complemented by sensitivity analyses to verify the robustness of our results. RESULTS Our findings reveal a significant genetic correlation between atopy/allergies and an increased risk of AA. Notably, strong associations were observed for hay fever, eczema, asthma, and specific allergies (pollen, dust, and cats). The sensitivity analyses corroborated these associations, reinforcing the reliability of our primary results. CONCLUSIONS This study provides compelling genetic evidence of an association between atopic and allergic conditions and the development of AA. These findings suggest that individuals with such conditions may benefit from enhanced surveillance for early signs of AA.
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Affiliation(s)
- Wen Xu
- School of Medicine, Zhejiang University, Yuhangtang Rd 866, Hangzhou, 310009, People's Republic of China
- Department of Dermatology, Hangzhou Third People's Hospital, Affiliated Hangzhou Dermatology Hospital, Zhejiang University School of Medicine, Hangzhou Third Hospital Affiliated to Zhejiang Chinese Medical University, West Lake Ave 38, Hangzhou, 310009, People's Republic of China
| | - Hongyan Zhang
- Department of Dermatology, Hangzhou Third People's Hospital, Affiliated Hangzhou Dermatology Hospital, Zhejiang University School of Medicine, Hangzhou Third Hospital Affiliated to Zhejiang Chinese Medical University, West Lake Ave 38, Hangzhou, 310009, People's Republic of China
| | - Sheng Wan
- Department of Dermatology, Hangzhou Third People's Hospital, Affiliated Hangzhou Dermatology Hospital, Zhejiang University School of Medicine, Hangzhou Third Hospital Affiliated to Zhejiang Chinese Medical University, West Lake Ave 38, Hangzhou, 310009, People's Republic of China
| | - Bo Xie
- Department of Dermatology, Hangzhou Third People's Hospital, Affiliated Hangzhou Dermatology Hospital, Zhejiang University School of Medicine, Hangzhou Third Hospital Affiliated to Zhejiang Chinese Medical University, West Lake Ave 38, Hangzhou, 310009, People's Republic of China
| | - Xiuzu Song
- Department of Dermatology, Hangzhou Third People's Hospital, Affiliated Hangzhou Dermatology Hospital, Zhejiang University School of Medicine, Hangzhou Third Hospital Affiliated to Zhejiang Chinese Medical University, West Lake Ave 38, Hangzhou, 310009, People's Republic of China.
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Zhang HG, McDermott G, Seyok T, Huang S, Dahal K, L'Yi S, Lea-Bonzel C, Stratton J, Weisenfeld D, Monach P, Raychaudhuri S, Yu KH, Cai T, Cui J, Hong C, Cai T, Liao KP. Identifying shared genetic architecture between rheumatoid arthritis and other conditions: a phenome-wide association study with genetic risk scores. EBioMedicine 2023; 92:104581. [PMID: 37121095 PMCID: PMC10173154 DOI: 10.1016/j.ebiom.2023.104581] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2022] [Revised: 03/19/2023] [Accepted: 04/05/2023] [Indexed: 05/02/2023] Open
Abstract
BACKGROUND Rheumatoid arthritis (RA) shares genetic variants with other autoimmune conditions, but existing studies test the association between RA variants with a pre-defined set of phenotypes. The objective of this study was to perform a large-scale, systemic screen to determine phenotypes that share genetic architecture with RA to inform our understanding of shared pathways. METHODS In the UK Biobank (UKB), we constructed RA genetic risk scores (GRS) incorporating human leukocyte antigen (HLA) and non-HLA risk alleles. Phenotypes were defined using groupings of International Classification of Diseases (ICD) codes. Patients with an RA code were excluded to mitigate the possibility of associations being driven by the diagnosis or management of RA. We performed a phenome-wide association study, testing the association between the RA GRS with phenotypes using multivariate generalized estimating equations that adjusted for age, sex, and first five principal components. Statistical significance was defined using Bonferroni correction. Results were replicated in an independent cohort and replicated phenotypes were validated using medical record review of patients. FINDINGS We studied n = 316,166 subjects from UKB without evidence of RA and screened for association between the RA GRS and n = 1317 phenotypes. In the UKB, 20 phenotypes were significantly associated with the RA GRS, of which 13 (65%) were immune mediated conditions including polymyalgia rheumatica, granulomatosis with polyangiitis (GPA), type 1 diabetes, and multiple sclerosis. We further identified a novel association in Celiac disease where the HLA and non-HLA alleles had strong associations in opposite directions. Strikingly, we observed that the non-HLA GRS was exclusively associated with greater risk of the validated conditions, suggesting shared underlying pathways outside the HLA region. INTERPRETATION This study replicated and identified novel autoimmune phenotypes verified by medical record review that share immune pathways with RA and may inform opportunities for shared treatment targets, as well as risk assessment for conditions with a paucity of genomic data, such as GPA. FUNDING This research was funded by the US National Institutes of Health (P30AR072577, R21AR078339, R35GM142879, T32AR007530) and the Harold and DuVal Bowen Fund.
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Affiliation(s)
- Harrison G Zhang
- Division of Rheumatology, Inflammation, and Immunity, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA; Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
| | - Greg McDermott
- Division of Rheumatology, Inflammation, and Immunity, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Thany Seyok
- Division of Rheumatology, Inflammation, and Immunity, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Sicong Huang
- Division of Rheumatology, Inflammation, and Immunity, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Kumar Dahal
- Division of Rheumatology, Inflammation, and Immunity, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Sehi L'Yi
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
| | - Clara Lea-Bonzel
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
| | - Jacklyn Stratton
- Division of Rheumatology, Inflammation, and Immunity, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Dana Weisenfeld
- Division of Rheumatology, Inflammation, and Immunity, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Paul Monach
- Division of Rheumatology, Inflammation, and Immunity, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA; VA Boston Healthcare System, Boston, MA, USA
| | - Soumya Raychaudhuri
- Division of Rheumatology, Inflammation, and Immunity, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA; Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA; Center for Data Science, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA; Division of Genetics, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA; Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA, USA
| | - Kun-Hsing Yu
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
| | - Tianrun Cai
- Division of Rheumatology, Inflammation, and Immunity, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Jing Cui
- Division of Rheumatology, Inflammation, and Immunity, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Chuan Hong
- Department of Biostatistics and Bioinformatics, Duke University, Durham, NC, USA
| | - Tianxi Cai
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA; VA Boston Healthcare System, Boston, MA, USA; Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Katherine P Liao
- Division of Rheumatology, Inflammation, and Immunity, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA; Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA; VA Boston Healthcare System, Boston, MA, USA.
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Chen C, Su L, Duan W, Zheng Y, Zhang D, Wang Y. Asthma and atopic dermatitis as risk factors for rheumatoid arthritis: a bidirectional mendelian randomization study. BMC Med Genomics 2023; 16:41. [PMID: 36869337 PMCID: PMC9985208 DOI: 10.1186/s12920-023-01461-7] [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: 11/11/2022] [Accepted: 02/14/2023] [Indexed: 03/05/2023] Open
Abstract
BACKGROUND Previous observational studies have shown an association between asthma, atopic dermatitis (AD) and rheumatoid arthritis (RA). However, the bidirectional cause-effect chain between asthma and AD and RA has not been proven yet. METHODS We performed bidirectional two-sample Mendelian randomization (TSMR) and selected single nucleotide polymorphisms (SNPs) associated with asthma, AD, and RA as instrumental variables. All of the SNPs were obtained from the latest genome-wide association study in Europeans. Inverse variance weighted (IVW) was the main method used in MR analysis. MR-Egger, weighted model, simple model, and weighted median were used for quality control. The robustness of the results was tested by sensitivity analysis. RESULTS Asthma was found to be the largest effect size for RA susceptibility using the IVW method (OR, 1.35;95%CI, 1.13-1.60; P, 0.001), followed by AD (OR, 1.10;95%CI, 1.02-1.19; P, 0.019). In contrast, there was no causal relationship between RA and asthma (IVW: P = 0.673) or AD (IVW: P = 0.342). No pleiotropy or heterogeneity was found in the sensitivity analysis. CONCLUSION Findings from this study showed a causal relationship between genetic susceptibility to asthma or AD and increased risk of RA, but do not support a causal relationship between genetic susceptibility to RA and asthma or AD.
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Affiliation(s)
- Chuiji Chen
- Department of Orthopedic Surgery, Tangdu Hospital, Fourth Military Medical University, No. 1 of Xinsi Road, Baqiao District, 710038, Xi'an City, Shaanxi Province, China
| | - Le Su
- Department of Orthopedic Surgery, The Fourth People's Hospital of Zibo, No. 210 of Shanquan Road, Zhangdian District, 255051, Shandong, Shandong Province, China
| | - Wenhao Duan
- Xi'an Medical University, No. 1 of Xinwang Road, Weiyang District, 710021, Xi'an City, Shaanxi Province, China
| | - Yansen Zheng
- School of Medicine, Yellow River Institute of Science and Technology, 666 Zijing Shan South Road, 450015, Zhengzhou City, Henan Province, China
| | - Dianzhong Zhang
- Department of Orthopedic Surgery, Tangdu Hospital, Fourth Military Medical University, No. 1 of Xinsi Road, Baqiao District, 710038, Xi'an City, Shaanxi Province, China
| | - Yucai Wang
- Department of Orthopedic Surgery, Tangdu Hospital, Fourth Military Medical University, No. 1 of Xinsi Road, Baqiao District, 710038, Xi'an City, Shaanxi Province, China.
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Lin Q, Zhou B, Song X, Ye W, Li Q, Shi T, Cheng C, Li Y, Wei X. Genetic variant in SPAG16 is associated with the susceptibility of ACPA-positive rheumatoid arthritis possibly via regulation of MMP-3. J Orthop Surg Res 2022; 17:511. [PMID: 36434627 PMCID: PMC9701044 DOI: 10.1186/s13018-022-03405-w] [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: 02/20/2022] [Accepted: 11/11/2022] [Indexed: 11/27/2022] Open
Abstract
OBJECTIVES In two previously published genome-wide association studies, a cluster of variants of sperm-associated antigen16 (SPAG16) were reported to be associated with the radiological progression rate of ACPA-positive rheumatoid arthritis (RA) patients from North American and Southern European ancestry. In this study, we aimed to investigate whether the reported RA-risk loci in SPAG16 are associated with the disease in the Chinese population and to further validate the functional role of the susceptible locus in RA tissues. METHODS A total of 500 ACPA-positive RA patients and 1000 age-matched healthy subjects were recruited. Two SNPs of SPAG16, including rs7607479 (C/T) and rs6435818 (A/C), were genotyped, and the genotyping data were compared with chi-square test. Gene expression analysis was performed in synovial tissues obtained from 40 RA patients and 30 non-RA controls surgically treated for bone fracture. The tissue expression of SPAG16 and matrix metalloproteinase 3 (MMP-3) was compared between the two groups by the Student's t test. The relationship between serum indexes and mRNA expression of SPAG16 and MMP-3 were evaluated by Spearman's correlation analysis. RESULT For rs7607479, the frequency of genotype TT was significantly higher in RA patients than in the controls (49.0% vs. 40.4%, p = 0.002). The RA patients were found to have significantly lower frequency of allele C than the controls (30.9% vs. 36.8%, p = 0.001). As for rs6435818, there was no significant difference of genotype or allele frequency between the two groups. The mRNA expression of MMP-3 was 1.63-fold higher in the RA patients than in the controls (p < 0.001). The expression of SPAG16 was comparable between the two groups (p = 0.43). The mRNA expression of MMP-3 was 1.39-fold higher in patients with genotype TT than in the patients with genotype CC (p = 0.006). The mRNA expression level of MMP-3 was significantly correlated with serum rheumatoid factor (r = 0.498, p < 0.001) and C-reactive protein (r = 0.272, p = 0.01), weakly correlated with erythrocyte sedimentation rate (r = 0.236, p = 0.09). CONCLUSIONS We validated a common genetic risk factor in ACPA-positive patients with RA, which is associated with the tissue production of MMP-3 and disease progression. Further functional analysis into the role of rs7607479 in MMP-3 expression can shed new light on the genetic architecture of ACPA-positive RA.
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Affiliation(s)
- Qingxi Lin
- grid.41156.370000 0001 2314 964XDepartment of Orthopedics, Affiliated Taikang Xianlin Drum Tower Hospital, Medical School of Nanjing University, LinShan Road No. 188, Nanjing City, 210008 China
| | - Bingxiang Zhou
- grid.41156.370000 0001 2314 964XDepartment of Orthopedics, Affiliated Taikang Xianlin Drum Tower Hospital, Medical School of Nanjing University, LinShan Road No. 188, Nanjing City, 210008 China
| | - Xiaoxiao Song
- grid.41156.370000 0001 2314 964XDepartment of Orthopedics, Affiliated Taikang Xianlin Drum Tower Hospital, Medical School of Nanjing University, LinShan Road No. 188, Nanjing City, 210008 China
| | - Wei Ye
- grid.41156.370000 0001 2314 964XDepartment of Orthopedics, Affiliated Taikang Xianlin Drum Tower Hospital, Medical School of Nanjing University, LinShan Road No. 188, Nanjing City, 210008 China
| | - Qinglong Li
- grid.41156.370000 0001 2314 964XDepartment of Orthopedics, Affiliated Taikang Xianlin Drum Tower Hospital, Medical School of Nanjing University, LinShan Road No. 188, Nanjing City, 210008 China
| | - Tong Shi
- grid.41156.370000 0001 2314 964XDepartment of Orthopedics, Affiliated Taikang Xianlin Drum Tower Hospital, Medical School of Nanjing University, LinShan Road No. 188, Nanjing City, 210008 China
| | - Chen Cheng
- Department of Orthopaedic Surgery, The JiangYan TCM Hospital of Taizhou City, JiangYan Road No. 699, Taizhou City, 225500 China
| | - Yetian Li
- grid.412679.f0000 0004 1771 3402Department of Orthopaedic Surgery, The First Affiliated Hospital of Anhui Medical University, Jixi Road No. 218, Hefei City, 230022 China
| | - Xing Wei
- grid.41156.370000 0001 2314 964XDepartment of Orthopedics, Affiliated Taikang Xianlin Drum Tower Hospital, Medical School of Nanjing University, LinShan Road No. 188, Nanjing City, 210008 China
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Liu D, Dong J, Zhang J, Xu X, Tian Q, Meng X, Wu L, Zheng D, Chu X, Wang W, Meng Q, Wang Y. Genome-Wide Mapping of Plasma IgG N-Glycan Quantitative Trait Loci Identifies a Potentially Causal Association between IgG N-Glycans and Rheumatoid Arthritis. JOURNAL OF IMMUNOLOGY (BALTIMORE, MD. : 1950) 2022; 208:2508-2514. [PMID: 35545292 DOI: 10.4049/jimmunol.2100080] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/10/2021] [Accepted: 03/30/2022] [Indexed: 01/03/2023]
Abstract
Observational studies highlight associations of IgG N-glycosylation with rheumatoid arthritis (RA); however, the causality between these conditions remains to be determined. Standard and multivariable two-sample Mendelian randomization (MR) analyses integrating a summary genome-wide association study for RA and IgG N-glycan quantitative trait loci (IgG N-glycan-QTL) data were performed to explore the potentially causal associations of IgG N-glycosylation with RA. After correcting for multiple testing (p < 2 × 10-3), the standard MR analysis based on the inverse-variance weighted method showed a significant association of genetically instrumented IgG N-glycan (GP4) with RA (odds ratioGP4 = 0.906, 95% confidence interval = 0.857-0.958, p = 5.246 × 10-4). In addition, we identified seven significant associations of genetically instrumented IgG N-glycans with RA by multivariable MR analysis (p < 2 × 10-3). Results were broadly consistent in sensitivity analyses using MR_Lasso, MR_weighted median, MR_Egger regression, and leave-one-out analysis with different instruments (all p values <0.05). There was limited evidence of pleiotropy bias (all p values > 0.05). In conclusion, our MR analysis incorporating genome-wide association studies and IgG N-glycan-QTL data revealed that IgG N-glycans were potentially causally associated with RA. Our findings shed light on the role of IgG N-glycosylation in the development of RA. Future studies are needed to validate our findings and to explore the underlying physiological mechanisms in the etiology of RA.
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Affiliation(s)
- Di Liu
- Department of Epidemiology and Health Statistics, School of Public Health, Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing, China.,Center for Biomedical Information Technology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, Guangdong, China
| | - Jing Dong
- Health Management Center, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Jie Zhang
- Department of Epidemiology and Health Statistics, School of Public Health, Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing, China
| | - Xizhu Xu
- School of Public Health, Shandong First Medical University and Shandong Academy of Medical Sciences, Tai'an, China; and
| | - Qiuyue Tian
- Department of Epidemiology and Health Statistics, School of Public Health, Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing, China
| | - Xiaoni Meng
- Department of Epidemiology and Health Statistics, School of Public Health, Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing, China
| | - Lijuan Wu
- Department of Epidemiology and Health Statistics, School of Public Health, Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing, China
| | - Deqiang Zheng
- Department of Epidemiology and Health Statistics, School of Public Health, Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing, China
| | - Xi Chu
- Health Management Center, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Wei Wang
- Department of Epidemiology and Health Statistics, School of Public Health, Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing, China.,School of Public Health, Shandong First Medical University and Shandong Academy of Medical Sciences, Tai'an, China; and.,Centre for Precision Health, ECU Strategic Research Centre, Edith Cowan University, Perth, Western Australia, Australia
| | - Qun Meng
- Department of Epidemiology and Health Statistics, School of Public Health, Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing, China
| | - Youxin Wang
- Department of Epidemiology and Health Statistics, School of Public Health, Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing, China; .,Centre for Precision Health, ECU Strategic Research Centre, Edith Cowan University, Perth, Western Australia, Australia
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Gao X, Wang X, Zhong Y, Liu L, Teng W, Shan Z. Serum Antithyroglobulin Antibody Levels Are Associated with Diabetic Retinopathy among Euthyroid Type 2 Diabetes Patients: A Hospital-Based, Retrospective Study. J Diabetes Res 2022; 2022:2552186. [PMID: 35036446 PMCID: PMC8758256 DOI: 10.1155/2022/2552186] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/29/2021] [Revised: 12/10/2021] [Accepted: 12/13/2021] [Indexed: 11/22/2022] Open
Abstract
BACKGROUND Previous studies have revealed that the variation of thyroid indicators may be associated with the risk of diabetic retinopathy (DR) among euthyroid type 2 diabetes (T2D) patients. But the specific conclusions are currently inconsistent. METHODS This is a hospital-based retrospective survey. We recruited 1,145 euthyroid T2D patients and checked the thyroid function and fundus photographs. The modified Airlie House classification system was used to categorize the stages of DR. The association between thyroid indicators and different stages of DR was analyzed. RESULTS We divided free triiodothyronine (FT3) into tertiles and found that the prevalence of mild nonproliferative DR (NPDR) was significantly higher in T2, compared with T1 (32.0% vs. 25.2%, p < 0.05). When FT3 was within the level of T2, FT3 could be an independent risk factor for mild NPDR (OR 1.426, 95% CI (1.031, 1.971), p < 0.05). In addition, the prevalence of severe NPDR and proliferative DR (PDR) was significantly higher in thyroglobulin antibody (TgAb) positive group (8.8% vs. 4.1%, p < 0.05) and vice versa (33.3% vs. 18.4%, p < 0.05). TgAb positivity was also an independent risk factor for severe NPDR and PDR (OR 2.212, 95% CI (1.244, 3.934), p < 0.05). CONCLUSIONS We hardly observed a significant change in DR risk with the elevation or reduction of serum TSH or thyroid hormone within the reference interval. Although the slightly elevated FT3 may be associated to mild NPDR, the extensibility of this result remains to be seen. For T2D patients with euthyroid function, there may be a significant correlation between serum TgAb positivity and severe NPDR and PDR.
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Affiliation(s)
- Xiaotong Gao
- Department of Endocrinology and Metabolism and the Institute of Endocrinology, The NHC Key Laboratory of Diagnosis and Treatment of Thyroid Diseases, The First Hospital of China Medical University, Shenyang 110001, China
| | - Xichang Wang
- Department of Endocrinology and Metabolism and the Institute of Endocrinology, The NHC Key Laboratory of Diagnosis and Treatment of Thyroid Diseases, The First Hospital of China Medical University, Shenyang 110001, China
| | - Yifan Zhong
- Department of Ophthalmology, The First Hospital of China Medical University, Shenyang 110001, China
| | - Lei Liu
- Department of Ophthalmology, The First Hospital of China Medical University, Shenyang 110001, China
| | - Weiping Teng
- Department of Endocrinology and Metabolism and the Institute of Endocrinology, The NHC Key Laboratory of Diagnosis and Treatment of Thyroid Diseases, The First Hospital of China Medical University, Shenyang 110001, China
| | - Zhongyan Shan
- Department of Endocrinology and Metabolism and the Institute of Endocrinology, The NHC Key Laboratory of Diagnosis and Treatment of Thyroid Diseases, The First Hospital of China Medical University, Shenyang 110001, China
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Hinchcliff M, Garcia-Milian R, Di Donato S, Dill K, Bundschuh E, Galdo FD. Cellular and Molecular Diversity in Scleroderma. Semin Immunol 2021; 58:101648. [PMID: 35940960 DOI: 10.1016/j.smim.2022.101648] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
With the increasing armamentarium of high-throughput tools available at manageable cost, it is attractive and informative to determine the molecular underpinnings of patient heterogeneity in systemic sclerosis (SSc). Given the highly variable clinical outcomes of patients labelled with the same diagnosis, unravelling the cellular and molecular basis of disease heterogeneity will be crucial to predicting disease risk, stratifying management and ultimately informing a patient-centered precision medicine approach. Herein, we summarise the findings of the past several years in the fields of genomics, transcriptomics, and proteomics that contribute to unraveling the cellular and molecular heterogeneity of SSc. Expansion of these findings and their routine integration with quantitative analysis of histopathology and imaging studies into clinical care promise to inform a scientifically driven patient-centred personalized medicine approach to SSc in the near future.
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Affiliation(s)
- Monique Hinchcliff
- Yale School of Medicine, Department of Internal Medicine, Section of Rheumatology, Allergy & Immunology, USA.
| | | | - Stefano Di Donato
- Raynaud's and Scleroderma Programme, Leeds Institute of Rheumatic and Musculoskeletal Medicine and NIHR Biomedical Research Centre, University of Leeds, UK
| | | | - Elizabeth Bundschuh
- Yale School of Medicine, Department of Internal Medicine, Section of Rheumatology, Allergy & Immunology, USA
| | - Francesco Del Galdo
- Raynaud's and Scleroderma Programme, Leeds Institute of Rheumatic and Musculoskeletal Medicine and NIHR Biomedical Research Centre, University of Leeds, UK.
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9
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Arleevskaya M, Takha E, Petrov S, Kazarian G, Novikov A, Larionova R, Valeeva A, Shuralev E, Mukminov M, Bost C, Renaudineau Y. Causal risk and protective factors in rheumatoid arthritis: A genetic update. J Transl Autoimmun 2021; 4:100119. [PMID: 34522877 PMCID: PMC8424591 DOI: 10.1016/j.jtauto.2021.100119] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2021] [Accepted: 08/30/2021] [Indexed: 02/08/2023] Open
Abstract
The characterization of risk and protective factors in complex diseases such as rheumatoid arthritis (RA) has evolved from epidemiological studies, which test association, to the use of Mendelian randomization approaches, which test direct relationships. Indeed, direct associations with the mucosal origin of RA are retrieved with periodontal disease (Porphyromonas gingivalis and Aggregatibacter actinomycetemcomitans predominantly), interstitial lung involvement, tobacco smoking and air pollutants. Next, factors directly associated with an acquired immune response include genetic factors (HLA DRB1, PTPN22), capacity to produce anti-modified protein antibodies (AMPA), and relatives with a history of autoimmune diseases. Finally, factors can be also classified according to their direct capacity to interfere with the IL-6/CRP/sIL-IL6R proinflammatory pathway as risk factor (body fat, cardiometabolic factors, type 2 diabetes, depressive syndrome) or either as protective factors by controlling of sIL-6R levels (higher education level, and intelligence). Although some co-founders have been characterized (e.g. vitamin D, physical activity, cancer) the direct association with sex-discrepancy, pregnancy, and infections among other factors remains to be better explored.
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Affiliation(s)
- M Arleevskaya
- Central Research Laboratory, Kazan State Medical Academy, Kazan, Russia.,Institute of Fundamental Medicine and Biology, Kazan (Volga Region) Federal University, Kazan, Russia
| | - E Takha
- Central Research Laboratory, Kazan State Medical Academy, Kazan, Russia
| | - S Petrov
- Central Research Laboratory, Kazan State Medical Academy, Kazan, Russia.,Institute of Environmental Sciences, Kazan (Volga Region) Federal University, Kazan, Russia
| | - G Kazarian
- Central Research Laboratory, Kazan State Medical Academy, Kazan, Russia
| | - A Novikov
- Sobolev Institute of Mathematics, Siberian Branch of Russian Academy of Science, Russia
| | - R Larionova
- Central Research Laboratory, Kazan State Medical Academy, Kazan, Russia.,Institute of Fundamental Medicine and Biology, Kazan (Volga Region) Federal University, Kazan, Russia
| | - A Valeeva
- Central Research Laboratory, Kazan State Medical Academy, Kazan, Russia
| | - E Shuralev
- Central Research Laboratory, Kazan State Medical Academy, Kazan, Russia.,Institute of Environmental Sciences, Kazan (Volga Region) Federal University, Kazan, Russia.,Kazan State Academy of Veterinary Medicine Named After N.E. Bauman, Kazan, Russia
| | - M Mukminov
- Central Research Laboratory, Kazan State Medical Academy, Kazan, Russia.,Institute of Environmental Sciences, Kazan (Volga Region) Federal University, Kazan, Russia
| | - C Bost
- CHU Toulouse, INSERM U1291, CNRS U5051, University Toulouse III, Toulouse, France
| | - Y Renaudineau
- Central Research Laboratory, Kazan State Medical Academy, Kazan, Russia.,CHU Toulouse, INSERM U1291, CNRS U5051, University Toulouse III, Toulouse, France
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10
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Ministrini S, Carbone F. PCSK9 and inflammation. Maybe a role in autoimmune diseases? Focus on rheumatoid arthritis and systemic lupus erythematosus. Curr Med Chem 2021; 29:970-979. [PMID: 34375179 DOI: 10.2174/0929867328666210810150940] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2021] [Revised: 06/17/2021] [Accepted: 06/28/2021] [Indexed: 11/22/2022]
Abstract
Despite a clear epidemiological link between autoimmune disease and cardiovascular (CV) risk exists, pathophysiological explanations are extremely complex and far from being elucidated. Dysregulation of metabolic pathways and chronic low-grade inflammation represent common pathways, but CV risk still remains underestimated in patients with autoimmune diseas. Among different candidate mediators, pro-protein convertase subtilisin/kexin type 9 (PCSK9) is attracting a growing attention, due to a combined effect on lipid metabolism and inflammatory response. Study on PCSK9 inhibitors have established a clear benefit on CV outcome without an established effect on inflammation. Conversely, evidence from sepsis and HIV infection strongly support a pro-inflammatory role of PCSK9. Still uncertain is instead the role of PCSK9 in autoimmune disease. So far reported clinical findings are controversial and likely reflect the poor knowledge of PCSK9 activity on monocyte/macrophage migration and activation. The complex signaling network around PCSK9 synthesis and metabolism may also have a role, especially concerning the involvement of scavenger receptors such as CD36. Such complexity in PCSK9 signaling seems particularly evident in autoimmune disease model. This would also potentially explain the observed independency between lipid profile and PCSK9 levels, the so-called "lipid paradox". In this narrative review we will summarize the current knowledge about the complex network of PCSK9 signaling. We will focus of upstream and downstream pathways with potential implication in autoimmune disease and potential effects of PCSK9 inhibiting strategies.
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Affiliation(s)
- Stefano Ministrini
- Internal Medicine, Angiology and Atherosclerosis; Department of Medicine and Surgery, University of Perugia, p.le Gambuli 1, 06132 Perugia, Italy
| | - Federico Carbone
- First Clinic of internal Medicine, Department of Internal Medicine, University of Genoa, 6 viale Benedetto XV, 16132 Genoa, Italy
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11
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Kawai VK, Shi M, Liu G, Feng Q, Wei W, Chung CP, Walunas TL, Gordon AS, Linneman JG, Hebbring SJ, Harley JB, Cox NJ, Roden DM, Stein CM, Mosley JD. Pleiotropy of systemic lupus erythematosus risk alleles and cardiometabolic disorders: A phenome-wide association study and inverse-variance weighted meta-analysis. Lupus 2021; 30:1264-1272. [PMID: 33977795 PMCID: PMC8205989 DOI: 10.1177/09612033211014952] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/07/2022]
Abstract
OBJECTIVES To test the hypothesis that genetic predisposition to systemic lupus erythematosus (SLE) increases the risk of cardiometabolic disorders. METHODS Using 41 single nucleotide polymorphisms (SNPs) associated with SLE, we calculated a weighted genetic risk score (wGRS) for SLE. In a large biobank we tested the association between this wGRS and 9 cardiometabolic phenotypes previously associated with SLE: atrial fibrillation, ischemic stroke, coronary artery disease, type 1 and type 2 diabetes, obesity, chronic kidney disease, hypertension, and hypercholesterolemia. Additionally, we performed a phenome-wide association analysis (pheWAS) to discover novel clinical associations with a genetic predisposition to SLE. Findings were replicated in the Electronic Medical Records and Genomics (eMERGE) Network. To further define the association between SLE-related risk alleles and the selected cardiometabolic phenotypes, we performed an inverse variance weighted regression (IVWR) meta-analysis. RESULTS The wGRS for SLE was calculated in 74,759 individuals of European ancestry. Among the pre-selected phenotypes, the wGRS was significantly associated with type 1 diabetes (OR [95%CI] =1.11 [1.06, 1.17], P-value = 1.05x10-5). In the PheWAS, the wGRS was associated with several autoimmune phenotypes, kidney disorders, and skin neoplasm; but only the associations with autoimmune phenotypes were replicated. In the IVWR meta-analysis, SLE-related risk alleles were nominally associated with type 1 diabetes (P = 0.048) but the associations were heterogeneous and did not meet the adjusted significance threshold. CONCLUSION A weighted GRS for SLE was associated with an increased risk of several autoimmune-related phenotypes including type I diabetes but not with cardiometabolic disorders.
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Affiliation(s)
- Vivian K. Kawai
- Division of Clinical Pharmacology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Mingjian Shi
- Department of Biomedical Informatics, Vanderbilt University School of Medicine, Nashville, TN, USA
| | - Ge Liu
- Division of Clinical Pharmacology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - QiPing Feng
- Division of Clinical Pharmacology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - WeiQi Wei
- Department of Biomedical Informatics, Vanderbilt University School of Medicine, Nashville, TN, USA
| | - Cecilia P. Chung
- Division of Clinical Pharmacology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
- Division of Rheumatology, Department of Medicine Vanderbilt University Medical Center, Nashville, TN, USA
- Tennessee Valley Healthcare System - Nashville Campus
| | - Theresa L. Walunas
- Center for Health Information Partnerships, Northwestern University Feinberg School of Medicine, Chicago, IL
| | - Adam S. Gordon
- Center for Genetic Medicine, Northwestern University, Chicago, IL
| | - James G. Linneman
- Office of Research, Computing, and Analytics, Marshfield Clinic Research Institute, Marshfield, WI
| | - Scott J. Hebbring
- Center for Precision Medicine Research, Marshfield Clinic Research Institute, Marshfield, Wisconsin USA
| | - John B. Harley
- Center for Autoimmune Genomics and Etiology (CAGE), Cincinnati Children’s Hospital Medical Center, Cincinnati, OH, USA
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH, USA
- Cincinnati VA Medical Center, Cincinnati, OH, USA
| | - Nancy J. Cox
- Vanderbilt Genetics Institute, Vanderbilt University School of Medicine, Nashville, TN, USA
| | - Dan M. Roden
- Division of Clinical Pharmacology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
- Department of Biomedical Informatics, Vanderbilt University School of Medicine, Nashville, TN, USA
| | - C. Michael Stein
- Division of Clinical Pharmacology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Jonathan D. Mosley
- Division of Clinical Pharmacology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
- Department of Biomedical Informatics, Vanderbilt University School of Medicine, Nashville, TN, USA
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