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Pan S, Zhang Z, Pang W. The causal relationship between bacterial pneumonia and diabetes: a two-sample mendelian randomization study. Islets 2024; 16:2291885. [PMID: 38095344 PMCID: PMC10730180 DOI: 10.1080/19382014.2023.2291885] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/09/2023] [Accepted: 12/03/2023] [Indexed: 12/18/2023] Open
Abstract
BACKGROUND Previous observational studies have established the high prevalence of bacterial pneumonia in diabetic patients, which in turn leads to increased mortality. However, the presence of a causal connection between bacterial pneumonia and diabetes remains unobserved. METHODS We chose genome-wide significant (Ρ < 1 × 10-5 and Ρ < 1 × 10-6) and independent (r2 < 0.001) single-nucleotide polymorphisms (SNPs) as instrumental variables (IVs) to proceed a bidirectional two-sample MR study. The extracted SNPs explored the relationship between bacterial pneumonia and diabetes by Inverse variance weighted (IVW), MR-Egger, and weighted median methods. In addition, we conducted the Heterogeneity test, the Pleiotropy test, MR-presso and the Leave-one-out (LOO) sensitivity test to validate the reliability of results. RESULTS In an MR study with bacterial pneumonia as an exposure factor, four different types of diabetes as outcome. It was observed that bacterial pneumonia increases the incidence of GDM (OR = 1.150 (1.027-1.274, P = 0.011) and T1DM (OR = 1.277 (1.024-1.531), P = 0.016). In the reverse MR analysis, it was observed that GDM (OR = 1.112 (1.023-1.201, P = 0.009) is associated with an elevated risk of bacterial pneumonia. However, no significant association was observed bacterial pneumonia with T1DM and other types of diabetes (P > 0.05). CONCLUSION This study utilizing MR methodology yields robust evidence supporting a bidirectional causal association between bacterial pneumonia and GDM. Furthermore, our findings suggest a plausible causal link between bacterial pneumonia and T1DM.
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Affiliation(s)
- Songying Pan
- The School of Public Health, Guilin Medical University, Guilin, Guangxi, China
- Guangxi Key Laboratory of Environmental Exposomics and Entire Lifecycle Health, Guilin Medical University, Guilin, Guangxi, China
| | - Zhongqi Zhang
- The School of Public Health, Guilin Medical University, Guilin, Guangxi, China
- Guangxi Key Laboratory of Environmental Exposomics and Entire Lifecycle Health, Guilin Medical University, Guilin, Guangxi, China
| | - Weiyi Pang
- Guangxi Key Laboratory of Environmental Exposomics and Entire Lifecycle Health, Guilin Medical University, Guilin, Guangxi, China
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Zhu J, Li W. Role of metabolites in mediating the effect of triacylglycerol on aplastic anemia. Hematology 2024; 29:2379178. [PMID: 39017035 DOI: 10.1080/16078454.2024.2379178] [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: 03/30/2024] [Accepted: 07/03/2024] [Indexed: 07/18/2024] Open
Abstract
BACKGROUND Observational studies have found a link between lipid metabolism disorders and aplastic anemia (AA). However, due to confounding variables and reverse causation, it is difficult to conclude such a causal link. The precise mechanism and potential implications of lipid metabolism disorder in AA remain unclear, necessitating further studies in this area. METHOD This study aimed to examine the causal relationship between 38 different subtypes of triacylglycerols and AA using two-sample Mendelian randomization (MR). Additionally, two-step MR analyses were conducted to investigate the mediating effects of vitamin A to oleoyl-linoleoyl-glycerol (18:1-18:2) ratio. RESULTS MR analysis showed that triacylglycerol (53:3) levels were positively associated with the risk of AA [inverse variance weighting (IVW): odds ratio (OR) = 1.131,95% confidence interval (CI):1.029-1.243, P = 0.011; Bayesian weighted MR (BWMR): OR = 1.137,95% CI:1.031-1.254, P = 0.010]. Triacylglycerol (53:3) level showed no inverse causality with AA (IVW:P = 0.834; BWMR:P = 0.349). Mediation analyses showed that increasing the vitamin A to oleoyl-linoleoyl-glycerol (18:1-18:2) ratio can decrease the risk of AA. CONCLUSION This study revealed the association between vitamin A to oleoyl-linoleoyl-glycerol (18:1-18:2) ratio, triacylglycerol (53:3) levels and AA, and indicated that lowering triacylglycerol (53:3) levels can reduce the risk of AA.
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Affiliation(s)
- Jingkui Zhu
- Department of Hematology, Jiujiang University Affiliated Hospital, Jiujiang, Jiangxi, People's Republic of China
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Cao T, Wang Y, Huimin S. Causal effects between gut microbiota and endometriosis: a two-sample Mendelian randomisation study. J OBSTET GYNAECOL 2024; 44:2362415. [PMID: 38885114 DOI: 10.1080/01443615.2024.2362415] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2023] [Accepted: 05/26/2024] [Indexed: 06/20/2024]
Abstract
BACKGROUND Previous observational evidence has indicated the potential involvement of the gut microbiota (GM) in the development of endometriosis. However, the causal relationship of the association remains to be investigated. METHOD Genome-wide association study (GWAS) data of GM was obtained from the MiBioGen consortium, and GWAS for endometriosis data was from the FinnGen consortium. Initially, a two-sample Mendelian randomisation (MR) analysis was performed to identify specific bacteria associated with endometriosis. Inverse variance-weighted (IVW) was used as the main MR analysis to infer causal relationships. The other four popular MR methods including MR-Egger regression, weighted mode, weighted median, and simple mode were used for secondary confirmation. Subsequently, these selected bacteria were employed as exposure to investigate their causal effects on six sub-types of endometriosis. Furthermore, reverse MR analysis was implemented to evaluate the reverse causal effects. Cochran's Q statistics was used to test the heterogeneity of instrumental variables (IVs); MR-Egger regression was used to test horizontal pleiotropy; MR-PRESSO and leave-one-out sensitivity analysis were applied to find significant outliers. RESULT A total of 1131 single nucleotide polymorphisms (SNPs) were collected as IVs for 196 GM taxa with endometriosis as the outcome. We identified 12 causal relationships between endometriosis and GM taxa including 1 phylum, 3 families, 2 orders, and 6 genera (Rikenellaceae RC9 gut group, Eubacterium ruminantium group, Faecalibacterium, Peptococcus, Clostridium sensu stricto 1, and Ruminococcaceae UCG005). Utilizing the Bonferroni method, we identified phylum Cyanobacteria as the strongest associated GM taxa. Subsequently, 6 significant causal effects were uncovered between the 12 selected specific GM and 6 sub-types of endometriosis. Meanwhile, no reverse causal relationship was found. Further, no horizontal pleiotropy and no significant outliers were detected in the sensitive analysis. CONCLUSIONS This MR analysis revealed significant causal effects between GM and endometriosis and phylum Cyanobacteria had the strongest association.
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Affiliation(s)
- Tiefeng Cao
- Department of Gynaecology, First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, P.R. China
| | - Yunfei Wang
- Department of Oncology, First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, P.R. China
| | - Shen Huimin
- Department of Gynaecology, First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, P.R. China
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Jin Q, Ren F, Song P. Innovate therapeutic targets for autoimmune diseases: insights from proteome-wide mendelian randomization and Bayesian colocalization. Autoimmunity 2024; 57:2330392. [PMID: 38515381 DOI: 10.1080/08916934.2024.2330392] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2023] [Accepted: 03/10/2024] [Indexed: 03/23/2024]
Abstract
BACKGROUND Despite growing knowledge regarding the pathogenesis of autoimmune diseases (ADs) onset, the current treatment remains unsatisfactory. This study aimed to identify innovative therapeutic targets for ADs through various analytical approaches. RESEARCH DESIGN AND METHODS Utilizing Mendelian randomization, Bayesian co-localization, phenotype scanning, and protein-protein interaction network, we explored potential therapeutic targets for 14 ADs and externally validated our preliminary findings. RESULTS This study identified 12 circulating proteins as potential therapeutic targets for six ADs. Specifically, IL12B was judged to be a risk factor for ankylosing spondylitis (p = 1.61E - 07). TYMP (p = 6.28E - 06) was identified as a protective factor for ulcerative colitis. For Crohn's disease, ERAP2 (p = 4.47E - 14), HP (p = 2.08E - 05), and RSPO3 (p = 6.52E - 07), were identified as facilitators, whereas FLRT3 (p = 3.42E - 07) had a protective effect. In rheumatoid arthritis, SWAP70 (p = 3.26E - 10), SIGLEC6 (p = 2.47E - 05), ISG15 (p = 3.69E - 05), and FCRL3 (p = 1.10E - 10) were identified as risk factors. B4GALT1 (p = 6.59E - 05) was associated with a lower risk of Type 1 diabetes (T1D). Interestingly, CTSH was identified as a protective factor for narcolepsy (p = 1.58E - 09) but a risk factor for T1D (p = 7.36E - 11), respectively. External validation supported the associations of eight of these proteins with three ADs. CONCLUSIONS Our integrated study identified 12 potential therapeutic targets for ADs and provided novel insights into future drug development for ADs.
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Affiliation(s)
- Qiubai Jin
- Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Feihong Ren
- Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China
- Graduate school, Beijing University of Chinese Medicine, Beijing, China
| | - Ping Song
- Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China
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Zhang J, Wen J, Dai Z, Zhang H, Zhang N, Lei R, Liu Z, Peng L, Cheng Q. Causal association and shared genetics between telomere length and COVID-19 outcomes: New evidence from the latest large-scale summary statistics. Comput Struct Biotechnol J 2024; 23:2429-2441. [PMID: 38882679 PMCID: PMC11176559 DOI: 10.1016/j.csbj.2024.05.012] [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: 11/13/2023] [Revised: 04/24/2024] [Accepted: 05/07/2024] [Indexed: 06/18/2024] Open
Abstract
Background Observational studies suggested that leukocyte telomere length (LTL) is shortened in COVID-19 patients. However, the genetic association and causality remained unknown. Methods Based on the genome-wide association of LTL (N = 472,174) and COVID-19 phenotypes (N = 1086,211-2597,856), LDSC and SUPERGNOVA were used to estimate the genetic correlation. Cross-trait GWAS meta-analysis, colocalization, fine-mapping analysis, and transcriptome-wide association study were conducted to explore the shared genetic etiology. Mendelian randomization (MR) was utilized to infer the causality. Upstream and downstream two-step MR was performed to investigate the potential mediating effects. Results LDSC identified a significant genetic association between LTL and all COVID-19 phenotypes (rG < 0, p < 0.05). Six significant regions were observed for LTL and COVID-19 susceptibility and hospitalization, respectively. Colocalization analysis found rs144204502, rs34517439, and rs56255908 were shared causal variants between LTL and COVID-19 phenotypes. Numerous biological pathways associated with LTL and COVID-19 outcomes were identified, mainly involved in -immune-related pathways. MR showed that longer LTL was significantly associated with a lower risk of COVID-19 severity (OR [95% CI] = 0.81 [0.71-0.92], p = 1.24 ×10-3) and suggestively associated with lower risks of COVID-19 susceptibility (OR [95% CI] = 0.96 [0.92-1.00], p = 3.44 ×10-2) and COVID-19 hospitalization (OR [95% CI] = 0.89 [0.80-0.98], p = 1.89 ×10-2). LTL partially mediated the effects of BMI, smoking, and education on COVID-19 outcomes. Furthermore, six proteins partially mediated the causality of LTL on COVID-19 outcomes, including BNDF, QPCT, FAS, MPO, SFTPB, and APOF. Conclusions Our findings suggested that shorter LTL was genetically associated with a higher risk of COVID-19 phenotypes, with shared genetic etiology and potential causality.
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Affiliation(s)
- Jingwei Zhang
- Department of Neurosurgery, Xiangya Hospital, Central South University, Changsha, China
- Hypothalamic Pituitary Research Centre, 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 Centre, Xiangya Hospital, Central South University, Changsha, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China
| | - Ziyu Dai
- Department of Neurosurgery, Xiangya Hospital, Central South University, Changsha, China
- Hypothalamic Pituitary Research Centre, Xiangya Hospital, Central South University, Changsha, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China
| | - Hao Zhang
- Department of Neurosurgery, The Second Affiliated Hospital, Chongqing Medical University, Chongqing, China
| | - Nan Zhang
- College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, China
| | - Ruoyan Lei
- Xiangya School of Public Health, Central South University, Changsha, China
| | - Zhixiong Liu
- Department of Neurosurgery, Xiangya Hospital, Central South University, Changsha, China
- Hypothalamic Pituitary Research Centre, Xiangya Hospital, Central South University, Changsha, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China
| | - Luo Peng
- Department of Oncology, Zhujiang Hospital, Southern Medical University, Guangzhou, China
| | - Quan Cheng
- Department of Neurosurgery, Xiangya Hospital, Central South University, Changsha, China
- Hypothalamic Pituitary Research Centre, Xiangya Hospital, Central South University, Changsha, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China
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Shi Y, Bao L, Li Y, Ou D, Li J, Liu X, Deng N, Deng C, Huang X, Zhang W, Ding H. Multi-omics combined to investigate potential druggable therapeutic targets for stroke: A systematic Mendelian randomization study and transcriptome verification. J Affect Disord 2024; 366:196-209. [PMID: 39214372 DOI: 10.1016/j.jad.2024.08.182] [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: 03/15/2024] [Revised: 07/15/2024] [Accepted: 08/27/2024] [Indexed: 09/04/2024]
Abstract
OBJECTIVE Stroke is a highly prevalent and disabling disease whose disease mechanisms are not fully understood. The discovery of disease-associated proteins with genetic evidence of pathogenicity provides an opportunity to identify new therapeutic targets. METHOD We examined the observed and causal associations of thousands of plasma and inflammatory proteins that were measured using affinity-based proteomic assays. First, we pooled >3000 relevant proteins using a fixed-effects meta-analysis of 2 population-based studies involving 48,383 participants, then investigated the causal effects of stroke and its subtype-associated proteins by forward Mendelian randomization using cis-protein quantitative locus genetic tools identified from genome-wide association studies of these >48,000 individuals. To improve the accuracy of causal estimation, we implemented a systematic Mendelian randomization model that accounts for cascading imbalances between instruments and tested the robustness of causal estimation through multi-method analyses. To further validate the hypothesis that ginsenoside Rg1 monomer acts on the five protein targets screened for drug-targeted regulation, we conducted a comparative analysis of the mRNA (gene) expression levels of a limited number of genes in the brain tissues of different groups of SD rats. The druggability of the candidate proteins was investigated and the mechanism of action and potential targeting side effects were explored by Phenome-wide MR. RESULTS Six circulating proteins were identified to have a significant genetic association with stroke (PFDR < 0.05). For example, in patients with cardioembolic stroke, higher genetically predicted APRT was associated with a lower risk of cardioembolic stroke (ORivw [95 % CI] = 0.641 [0.517, 0.795]; P = 5.25 × 10-5, ORSMR [95 % CI] = 0.572, [0.397, 0.825], PSMR = 0.003). Mediation analyses suggested that atrial fibrillation, angina pectoris, and heart failure may mediate the association of CD40L, LIFR, and UPA with stroke. Molecular docking revealed promising interactions between the identified proteins and glycosides. Transcriptomic sequencing in animal models indicated that ginsenoside Rg1 may act through APRT, IL15RA, and VSIR pathways, with APRT showing significant variability in mRNA sequencing expression. Phenome-wide MR of the six target proteins showed an overwhelming predominance of PFDR > 0.05, indicating less toxicity. CONCLUSIONS The present study provides genetic evidence to support the potential efficacy of targeting the three druggable protein targets for the treatment of stroke. This is achieved by triangulating population genomic and proteomic data. Furthermore, the study validates the pathway mechanisms by which APRT, IL15RA, and VSIR dock ginsenoside Rg1 in animal models. This will help to prioritize stroke drug development.
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Affiliation(s)
- Yiming Shi
- Hunan University of Chinese Medicine, Key Laboratory of Hunan Province for Integrated Traditional Chinese and Western Medicine on Prevention and Treatment of Cardio-Cerebral Diseases, Changsha, China
| | - Le Bao
- Hunan University of Chinese Medicine, Key Laboratory of Hunan Province for Integrated Traditional Chinese and Western Medicine on Prevention and Treatment of Cardio-Cerebral Diseases, Changsha, China
| | - Yanling Li
- Hunan University of Chinese Medicine, Key Laboratory of Hunan Province for Integrated Traditional Chinese and Western Medicine on Prevention and Treatment of Cardio-Cerebral Diseases, Changsha, China
| | - Dian Ou
- Hunan University of Chinese Medicine, Key Laboratory of Hunan Province for Integrated Traditional Chinese and Western Medicine on Prevention and Treatment of Cardio-Cerebral Diseases, Changsha, China
| | - Jiating Li
- Hunan University of Chinese Medicine, Key Laboratory of Hunan Province for Integrated Traditional Chinese and Western Medicine on Prevention and Treatment of Cardio-Cerebral Diseases, Changsha, China
| | - Xiaodan Liu
- Hunan University of Chinese Medicine, Key Laboratory of Hunan Province for Integrated Traditional Chinese and Western Medicine on Prevention and Treatment of Cardio-Cerebral Diseases, Changsha, China
| | - Nujiao Deng
- Hunan University of Chinese Medicine, Key Laboratory of Hunan Province for Integrated Traditional Chinese and Western Medicine on Prevention and Treatment of Cardio-Cerebral Diseases, Changsha, China
| | - Changqing Deng
- Hunan University of Chinese Medicine, Key Laboratory of Hunan Province for Integrated Traditional Chinese and Western Medicine on Prevention and Treatment of Cardio-Cerebral Diseases, Changsha, China
| | - Xiaoping Huang
- Hunan University of Chinese Medicine, Key Laboratory of Hunan Province for Integrated Traditional Chinese and Western Medicine on Prevention and Treatment of Cardio-Cerebral Diseases, Changsha, China.
| | - Wei Zhang
- Hunan University of Chinese Medicine, Key Laboratory of Hunan Province for Integrated Traditional Chinese and Western Medicine on Prevention and Treatment of Cardio-Cerebral Diseases, Changsha, China.
| | - Huang Ding
- Hunan University of Chinese Medicine, Key Laboratory of Hunan Province for Integrated Traditional Chinese and Western Medicine on Prevention and Treatment of Cardio-Cerebral Diseases, Changsha, China.
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Wu J, Zhang J, Huang G, Zhong Y, Yang Y, Deng P. Evidence from mendelian randomization identifies several causal relationships between primary membranous nephropathy and gut microbiota. Ren Fail 2024; 46:2349136. [PMID: 38770992 PMCID: PMC11110878 DOI: 10.1080/0886022x.2024.2349136] [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: 12/08/2023] [Accepted: 04/10/2024] [Indexed: 05/22/2024] Open
Abstract
BACKGROUND Research has showcased a correlation between disruptions in gut microbiota and primary membranous nephropathy (pMN), giving rise to the concept of the 'gut-kidney axis'. However, the precise relationship between gut microbiota and pMN remains elusive. Hence, this study endeavors to investigate whether a causal relationship exists between gut microbiota and pMN utilizing Mendelian randomization (MR) analysis. METHODS The primary method employed for MR analysis is the inverse variance weighting method, supplemented by MR-Egger and the weighted median method, to infer causality. This approach was validated within the pMN cohort across two distinct populations. RESULTS At the species level, the abundance of Bifidobacterium bifidum and Alistipes indistinctus was negatively correlated with the risk of pMN. Conversely, pMN was positively associated with Bacilli abundance at the class level, Lachnospiraceae abundance at the family level, and Dialister abundance at the genus level. Specifically, at the species level, pMN was positively correlated with the abundance of Ruminococcus lactaris, Dialister invisus, and Coprococcus_sp_ART55_1. CONCLUSION These findings lay the groundwork for future research exploring the interplay between pMN and the gut microbiota, with substantial implications for the prevention and treatment of pMN and its associated complications.
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Affiliation(s)
- Jianwei Wu
- Department of Medical Technology, Gannan Healthcare Vocational College, Ganzhou, China
| | - Jing Zhang
- Department of Medical Technology, Gannan Healthcare Vocational College, Ganzhou, China
| | - Gang Huang
- Department of Laboratory, GanZhou Cancer Hospital, Ganzhou, China
| | - Yinglian Zhong
- Department of Blood Transfusion, Ganzhou Fifth People’s Hospital, Ganzhou, China
| | - Yi Yang
- Department of Rheumatology and Immunology, The Second Affiliated Hospital of Nanchang University, Nanchang, China
| | - Peng Deng
- Department of Endocrinology, Department of Nephrology, Ganzhou Fifth People’s Hospital, Ganzhou, China
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Xiao R, Dong L, Xie B, Liu B. A Mendelian randomization study: physical activities and chronic kidney disease. Ren Fail 2024; 46:2295011. [PMID: 38178379 PMCID: PMC10773648 DOI: 10.1080/0886022x.2023.2295011] [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: 06/28/2023] [Accepted: 12/08/2023] [Indexed: 01/06/2024] Open
Abstract
Increasing evidence has shown that physical activity is related to a lower risk of chronic kidney disease (CKD), thus indicating a potential target for prevention. However, the causality is not clear; specifically, physical activity may protect against CKD, and CKD may lead to a reduction in physical activity. Our study examined the potential bidirectional relationship between physical activity and CKD by using a genetically informed method. Genome-wide association studies from the UK Biobank baseline data were used for physical activity phenotypes and included 460,376 participants. For kidney function (estimated Glomerular Filtration Rate (eGFR) and CKD, with eGFR < 60 mL/min/1.73 m2), CKDGen Consortium data were used, which included 480,698 CKD participants of European ancestry. Mendelian randomization (MR) analysis was used to determine the causal relationship between physical activities and kidney function. Two-sample MR genetically predicted that heavy DIY (do it yourself) (e.g., weeding, lawn mowing, carpentry, and digging) decreased the risk of CKD (odds ratio [OR] = 0.287, 95% CI = 0.117-0.705, p = 0.0065) and improved the level of eGFR (β = 0.036, 95% CI = 0.005-0.067, p = 0.021). The bidirectional MR showed no reverse causality. It is worth noting that other physical activities, such as walking for pleasure, strenuous sports, light DIY (e.g., pruning and watering the lawn), and other exercises (e.g., swimming, cycling, keeping fit, and bowling), were not significantly correlated with CKD and eGFR. This study used genetic data to provide reliable and robust causal evidence that heavy physical activity (e.g., weeding, lawn mowing, carpentry, and digging) can protect kidney function and further lower the risk of CKD.
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Affiliation(s)
- Rui Xiao
- Department of General Practice, Yongchuan Hospital of Chongqing Medical University, Chongqing Medical University, Chongqing, China
| | - Li Dong
- Department of Nephrology and Rheumatology, Yongchuan Hospital of Chongqing Medical University, Chongqing Medical University, Chongqing, China
| | - Bo Xie
- Department of General Practice, Yongchuan Hospital of Chongqing Medical University, Chongqing Medical University, Chongqing, China
| | - Beizhong Liu
- Central Laboratory of Yongchuan Hospital, Chongqing Medical University, Chongqing, China
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Lv D, Han N, Yuan M, Huang W, Yan L, Tang H. Depression and the risk of non-alcohol fatty liver disease: Results from a cross-sectional study and a Mendelian randomization analysis. J Affect Disord 2024; 366:300-307. [PMID: 39216642 DOI: 10.1016/j.jad.2024.08.189] [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: 01/09/2024] [Revised: 08/27/2024] [Accepted: 08/28/2024] [Indexed: 09/04/2024]
Abstract
BACKGROUND Previous studies have suggested that psychiatric factors may be pathogenic for NAFLD. However, the association between depression and NAFLD is not been consistent, and whether depression plays a causal role in the development of NAFLD remains unclear. METHODS We extracted data from the National Health and Nutrition Examination Survey (NHANES) 2017-2018 to assess the correlation between depression and NAFLD risk. Based on previous genome-wide association studies (GWAS) meta-analyses on NAFLD and depression, we performed a Mendelian randomization (MR) analysis to explore the causal effect of depression on NAFLD. The primary analysis method used in the MR analysis was inverse variance weighted. RESULTS We ultimately extracted the data from 3878 individuals in the NHANES database to perform the cross-sectional study. Multivariable-adjusted logistic regression showed that depressed individuals had a higher risk of NAFLD than controls (odds ratio [OR] 1.33, 95 % CI 1.03-1.72, p = 0.027) among women. Based on GWAS data, we included 36 genetic variants as instrumental variables to estimate the causal effect of depression on NAFLD risk. The MR analysis revealed a causal association between genetically predicted depression and an increased risk of NAFLD (OR = 1.504, 95 % CI 1.13-2.00, p = 0.005). LIMITATIONS The consistency of these findings in Eastern populations requires further longitudinal studies. CONCLUSIONS This cross-sectional study suggested that depression might increase the risk of NAFLD in women. The MR analysis demonstrated that there exists a causal association between genetically predicated depression and NAFLD risk.
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Affiliation(s)
- Duoduo Lv
- Center of Infectious Diseases, West China Hospital of Sichuan University, Chengdu, Sichuan Province 610041, China; Division of Infectious Diseases, State Key Laboratory of Biotherapy, Sichuan University, Chengdu, Sichuan Province 610041, China
| | - Ning Han
- Center of Infectious Diseases, West China Hospital of Sichuan University, Chengdu, Sichuan Province 610041, China; Division of Infectious Diseases, State Key Laboratory of Biotherapy, Sichuan University, Chengdu, Sichuan Province 610041, China
| | - Man Yuan
- Center of Infectious Diseases, West China Hospital of Sichuan University, Chengdu, Sichuan Province 610041, China
| | - Wei Huang
- Center of Infectious Diseases, West China Hospital of Sichuan University, Chengdu, Sichuan Province 610041, China; Division of Infectious Diseases, State Key Laboratory of Biotherapy, Sichuan University, Chengdu, Sichuan Province 610041, China
| | - Libo Yan
- Center of Infectious Diseases, West China Hospital of Sichuan University, Chengdu, Sichuan Province 610041, China; Division of Infectious Diseases, State Key Laboratory of Biotherapy, Sichuan University, Chengdu, Sichuan Province 610041, China.
| | - Hong Tang
- Center of Infectious Diseases, West China Hospital of Sichuan University, Chengdu, Sichuan Province 610041, China; Division of Infectious Diseases, State Key Laboratory of Biotherapy, Sichuan University, Chengdu, Sichuan Province 610041, China.
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Li C, Chen J, Han D, Shu C, Huang J, Wei L, Luo H, Wu Q, Chen X, He Y, Zhou Y. Appraising non-linear association between pre-diagnostic platelet counts and cancer survival outcomes: observational and genetic analysis. Platelets 2024; 35:2379815. [PMID: 39072584 DOI: 10.1080/09537104.2024.2379815] [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: 04/06/2024] [Revised: 06/12/2024] [Accepted: 07/02/2024] [Indexed: 07/30/2024]
Abstract
Previous studies have reported inconsistent associations between platelet count (PLT) and cancer survival. However, whether there is linear causal effect merits in-depth investigations. We conducted a cohort study using the UK Biobank and a two-sample Mendelian randomization (MR) analysis. PLT levels were measured prior to cancer diagnosis. We adopted overall survival (OS) as the primary outcome. Cox models were utilized to estimate the effects of PLTs on survival outcomes at multiple lag times for cancer diagnosis. We employed 34 genetic variants as PLT proxies for MR analysis. Linear and non-linear effects were modeled. Prognostic effects of gene expression harboring the instrumental variants were also investigated. A total of 65 471 cancer patients were included. We identified a significant association between elevated PLTs (per 100 × 109/L) and inferior OS (HR: 1.07; 95% CI: 1.04-1.10; p < .001). Similar significant associations were observed for several cancer types. We further observed a U-shaped relationship between PLTs and cancer survival (p < .001). Our MR analysis found null evidence to support a causal association between PLTs and overall cancer survival (HR: 1.000; 95% CI: 0.998-1.001; p = .678), although non-linear MR analysis unveiled a potential greater detrimental effect at lower PLT range. Expression of eleven PLT-related genes were associated with cancer survival. Early detection of escalated PLTs indicated possible occult cancer development and inferior subsequent survival outcomes. The observed associations could potentially be non-linear. However, PLT is less likely to be a promising therapeutic target.
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Affiliation(s)
- Changtao Li
- Department of Oncology, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
| | - Junhua Chen
- Department of General Surgery, West China Second Hospital, Sichuan University, Chengdu, China
| | - Deqian Han
- Department of Oncology, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
| | - Chi Shu
- Division of vascular surgery, Department of general surgery, West China Hospital, Sichuan University, Chengdu, China
| | - Jun Huang
- Department of General Surgery, West China Hospital, Sichuan University, Chengdu, China
- Colorectal Cancer Center, West China Hospital, Sichuan University, Chengdu, China
| | - Linru Wei
- Department of Oncology, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
| | - Haoran Luo
- Key Laboratory of the Ministry of Education for Coastal and Wetland Ecosystems, College of the Environment and Ecology, Xiamen University, Xiamen, Fujian, China
| | - Qingbin Wu
- Department of General Surgery, West China Hospital, Sichuan University, Chengdu, China
- Colorectal Cancer Center, West China Hospital, Sichuan University, Chengdu, China
| | - Xin Chen
- Department of Oncology, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
| | - Yazhou He
- Department of Oncology, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
- Usher Institute, University of Edinburgh, Edinburgh, UK
| | - Yanhong Zhou
- Department of laboratory medicine, West China Hospital, Sichuan University, Chengdu, China
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11
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Lundin JI, Peters U, Hu Y, Ammous F, Avery CL, Benjamin EJ, Bis JC, Brody JA, Carlson C, Cushman M, Gignoux C, Guo X, Haessler J, Haiman C, Joehanes R, Kasela S, Kenny E, Lapalainien T, Levy D, Liu C, Liu Y, Loos RJ, Lu A, Matise T, North KE, Park SL, Ratliff SM, Reiner A, Rich SS, Rotter JI, Smith JA, Sotoodehnia N, Tracy R, Van den Berg D, Xu H, Ye T, Zhao W, Raffield LM, Kooperberg C. Methylation patterns associated with C-reactive protein in racially and ethnically diverse populations. Epigenetics 2024; 19:2333668. [PMID: 38571307 PMCID: PMC10996836 DOI: 10.1080/15592294.2024.2333668] [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: 11/30/2023] [Accepted: 03/17/2024] [Indexed: 04/05/2024] Open
Abstract
Systemic low-grade inflammation is a feature of chronic disease. C-reactive protein (CRP) is a common biomarker of inflammation and used as an indicator of disease risk; however, the role of inflammation in disease is not completely understood. Methylation is an epigenetic modification in the DNA which plays a pivotal role in gene expression. In this study we evaluated differential DNA methylation patterns associated with blood CRP level to elucidate biological pathways and genetic regulatory mechanisms to improve the understanding of chronic inflammation. The racially and ethnically diverse participants in this study were included as 50% White, 41% Black or African American, 7% Hispanic or Latino/a, and 2% Native Hawaiian, Asian American, American Indian, or Alaska Native (total n = 13,433) individuals. We replicated 113 CpG sites from 87 unique loci, of which five were novel (CADM3, NALCN, NLRC5, ZNF792, and cg03282312), across a discovery set of 1,150 CpG sites associated with CRP level (p < 1.2E-7). The downstream pathways affected by DNA methylation included the identification of IFI16 and IRF7 CpG-gene transcript pairs which contributed to the innate immune response gene enrichment pathway along with NLRC5, NOD2, and AIM2. Gene enrichment analysis also identified the nuclear factor-kappaB transcription pathway. Using two-sample Mendelian randomization (MR) we inferred methylation at three CpG sites as causal for CRP levels using both White and Black or African American MR instrument variables. Overall, we identified novel CpG sites and gene transcripts that could be valuable in understanding the specific cellular processes and pathogenic mechanisms involved in inflammation.
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Affiliation(s)
- Jessica I. Lundin
- Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - Ulrike Peters
- Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - Yao Hu
- Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - Farah Ammous
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA
| | - Christy L. Avery
- Department of Genetics, University of North Carolina, Chapel Hill, NC, USA
| | - Emelia J. Benjamin
- Boston Medical Center, Boston University Chobanian and Avedisian School of Medicine, Boston University School of Public Health, Boston, MA, USA
| | - Joshua C. Bis
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
| | - Jennifer A. Brody
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
| | - Chris Carlson
- Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - Mary Cushman
- Department of Medicine, Larner College of Medicine at the University of Vermont, Burlington, VT, USA
| | - Chris Gignoux
- Interdisciplinary Quantitative Biology, University of Colorado, Boulder, CO, USA
| | - Xiuqing Guo
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Jeff Haessler
- Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - Chris Haiman
- Department of Environmental Medicine and Public Health, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Roby Joehanes
- Population Sciences Branch, National Heart, Lung, and Blood Institute of the National Institutes of Health, Bethesda, MD, USA
| | | | - Eimear Kenny
- Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | | | - Daniel Levy
- Population Sciences Branch, National Heart, Lung, and Blood Institute of the National Institutes of Health, Bethesda, MD, USA
| | - Chunyu Liu
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Yongmei Liu
- Duke Molecular Physiology Institute, Duke University, Durham, NC, USA
| | - Ruth J.F. Loos
- Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Ake Lu
- Department of Human Genetics, University of California LA, Los Angeles, CA, USA
| | - Tara Matise
- Department of Genetics, Rutgers University, New Brunswick, NJ, USA
| | - Kari E. North
- Department of Genetics, University of North Carolina, Chapel Hill, NC, USA
| | - Sungshim L. Park
- Epidemiology Program, University of Hawaii Cancer Center, Honolulu, HI, USA
| | - Scott M. Ratliff
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA
| | - Alex Reiner
- Department of Epidemiology, University of Washington, Seattle, WA, USA
| | - Stephen S. Rich
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA, USA
| | - Jerome I. Rotter
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Jennifer A. Smith
- Department of Epidemiology, School of Public Health, and Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI, USA
| | - Nona Sotoodehnia
- Cardiovascular Health Research Unit, Harborview Medical Center, Seattle, WA, USA
| | - Russell Tracy
- Department of Biochemistry, University of Vermont, Burlington, VT, USA
| | - David Van den Berg
- Department of Environmental Medicine and Public Health, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Huichun Xu
- Division of Endocrinology, Diabetes and Nutrition, Department of Medicine, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Ting Ye
- Department of Biostatistics, School of Public Health, University of Washington, Seattle, WA, USA
| | - Wei Zhao
- Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI, USA
| | - Laura M. Raffield
- Department of Genetics, University of North Carolina, Chapel Hill, NC, USA
| | - Charles Kooperberg
- Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - On Behalf of the PAGE Study
- Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA, USA
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA
- Department of Genetics, University of North Carolina, Chapel Hill, NC, USA
- Boston Medical Center, Boston University Chobanian and Avedisian School of Medicine, Boston University School of Public Health, Boston, MA, USA
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
- Department of Medicine, Larner College of Medicine at the University of Vermont, Burlington, VT, USA
- Interdisciplinary Quantitative Biology, University of Colorado, Boulder, CO, USA
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA
- Department of Environmental Medicine and Public Health, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
- Population Sciences Branch, National Heart, Lung, and Blood Institute of the National Institutes of Health, Bethesda, MD, USA
- New York Genome Center, New York, NY
- Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
- Duke Molecular Physiology Institute, Duke University, Durham, NC, USA
- Department of Human Genetics, University of California LA, Los Angeles, CA, USA
- Department of Genetics, Rutgers University, New Brunswick, NJ, USA
- Epidemiology Program, University of Hawaii Cancer Center, Honolulu, HI, USA
- Department of Epidemiology, University of Washington, Seattle, WA, USA
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA, USA
- Department of Epidemiology, School of Public Health, and Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI, USA
- Cardiovascular Health Research Unit, Harborview Medical Center, Seattle, WA, USA
- Department of Biochemistry, University of Vermont, Burlington, VT, USA
- Division of Endocrinology, Diabetes and Nutrition, Department of Medicine, University of Maryland School of Medicine, Baltimore, MD, USA
- Department of Biostatistics, School of Public Health, University of Washington, Seattle, WA, USA
- Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI, USA
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12
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Dong W, Li Q, Chen L, Tang H, Tu K, Luo L, Jiang L, Huang Y. Association between the gut microbiota and diabetic nephropathy: a two-sample Mendelian randomization study. Ren Fail 2024; 46:2357746. [PMID: 38832498 DOI: 10.1080/0886022x.2024.2357746] [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: 03/05/2024] [Accepted: 05/15/2024] [Indexed: 06/05/2024] Open
Abstract
Numerous studies have revealed a correlation between the risk of developing diabetic nephropathy (DN) and the gut microbiota (GM) composition. However, it remains uncertain whether the GM composition causes DN. We aimed to explore any potential causal links between the GM composition and the risk of developing DN. A meta-analysis conducted by the MiBioGen consortium of the largest genome-wide association study (GWAS) provided aggregated data on the GM. DN data were obtained from the IEU database. The inverse-variance weighting (IVW) method was employed as the primary analytical approach. The IVW analysis indicated that genus Dialister (OR = 0.51, 95% CI: 0.34-0.77, p = 0.00118) was protective against DN. In addition, class Gammaproteobacteria (OR = 0.47, 95% CI: 0.27-0.83, p = 0.0096), class Lentisphaeria (OR =0.76, 95% CI: 0.68-0.99, p = 0.04), order Victivallales (OR = 0.76, 95% CI: 0.58-0.99, p = 0.04), and phylum Proteobacteria (OR = 0.53, 95% CI: 0.33-0.85, p = 0.00872) were negatively associated with the risk of developing DN. Genus LachnospiraceaeUCG008 (OR =1.45, 95% CI: 1.08-1.95, p = 0.01), order Bacteroidales (OR = 1.59, 95% CI: 1.02-2.49, p = 0.04), and genus Terrisporobacter (OR = 1.98, 95% CI: 1.14-3.45, p = 0.015) were positively associated with the risk of developing DN. In this study, we established a causal relationship between the genus Dialister and the risk of developing DN. Further trials are required to confirm the protective effects of probiotics on DN and to elucidate the precise protective mechanisms involving genus Dialister and DN.
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Affiliation(s)
- Wenjie Dong
- Department of Pharmacy, The Affiliated Hospital of Southwest Medical University, Luzhou, China
- School of Pharmacy, Southwest Medical University, Luzhou, China
| | - Qiuyu Li
- Department of Pharmacy, The Affiliated Hospital of Southwest Medical University, Luzhou, China
- School of Pharmacy, Southwest Medical University, Luzhou, China
| | - Lei Chen
- Department of Pharmacy, The Affiliated Hospital of Southwest Medical University, Luzhou, China
- School of Pharmacy, Southwest Medical University, Luzhou, China
| | - Hui Tang
- Department of Pharmacy, The Affiliated Hospital of Southwest Medical University, Luzhou, China
- School of Pharmacy, Southwest Medical University, Luzhou, China
| | - Kun Tu
- Department of Pharmacy, The Affiliated Hospital of Southwest Medical University, Luzhou, China
- School of Pharmacy, Southwest Medical University, Luzhou, China
| | - Li Luo
- Department of Pharmacy, West China Second Hospital of Sichuan University, Chengdu, Sichuan, China
| | - Longyang Jiang
- Department of Pharmacy, The Affiliated Hospital of Southwest Medical University, Luzhou, China
- School of Pharmacy, Southwest Medical University, Luzhou, China
| | - Yilan Huang
- Department of Pharmacy, The Affiliated Hospital of Southwest Medical University, Luzhou, China
- School of Pharmacy, Southwest Medical University, Luzhou, China
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13
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Zheng G, Cheng Y, Wang C, Wang B, Zou X, Zhou J, Peng L, Zeng T. Elucidating the causal nexus and immune mediation between frailty and chronic kidney disease: integrative multi-omics analysis. Ren Fail 2024; 46:2367028. [PMID: 39010723 PMCID: PMC11265307 DOI: 10.1080/0886022x.2024.2367028] [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: 04/30/2024] [Accepted: 06/06/2024] [Indexed: 07/17/2024] Open
Abstract
BACKGROUND Empirical research has consistently documented the concurrent manifestation of frailty and chronic kidney disease (CKD). However, the existence of a reverse causal association or the influence of confounding variables on these correlations remains ambiguous. METHODS Our analysis of 7,078 participants from National Health and Nutrition Examination Survey(NHANES) (1999-2018) applied weighted logistic regression and Mendelian Randomization (MR) to investigate the correlation between the frailty index (FI) and renal function. The multivariate MR analysis was specifically adjusted for type 2 diabetes and hypertension. Further analysis explored 3282 plasma proteins to link FI to CKD. A two-step network MR highlighted immune cells' mediating roles in the FI-CKD relationship. RESULT Genetically inferred FI and various renal function markers are significantly correlated, as supported by NHANES analyses. Multivariate MR analysis revealed a direct causal association between the FI and CKD. Additionally, our investigation into plasma proteins identified Tmprss11D and MICB correlated with FI and CKD, respectively. A two-step network MR to reveal 15 immune cell types, notably Central Memory CD4+ T cells and Lymphocytes, as crucial mediators between FI and CKD. CONCLUSION Our work establishes a causal connection between frailty and CKD, mediated by specific immune cell profiles. These findings highlight the importance of immune mechanisms in the frailty-CKD interplay and suggest that targeting shared risk factors and immune pathways could improve management strategies for these conditions. Our research contributes to a more nuanced understanding of frailty and CKD, offering new avenues for intervention and patient care in an aging population.
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Affiliation(s)
- Guanghao Zheng
- Department of Medicine, Graduate School of Nanchang University, Nanchang, China
| | - Yu Cheng
- Department of Medicine, Graduate School of Nanchang University, Nanchang, China
| | - Chenlong Wang
- Department of Central Laboratory, The Affiliated Huaian No.1 Peopele’s Hospital, Nanjing Medical University, Huai’an, China
| | - Bin Wang
- Department of Medicine, Graduate School of Nanchang University, Nanchang, China
| | - Xinchang Zou
- Department of Medicine, Graduate School of Nanchang University, Nanchang, China
| | - Jie Zhou
- Department of Medicine, Graduate School of Nanchang University, Nanchang, China
| | - Lifen Peng
- Molecular Experiment Center, Jiangxi Provincial People’s Hospital Affiliated to Nanchang University, Nanchang, China
| | - Tao Zeng
- Department of Urology, The Second Affiliated Hospital of Nanchang University, Nanchang, China
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14
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Liu J, Wang X, Huang L, Lin X, Yin W, Chen M. Causal relationships between gut microbiome and aplastic anemia: a Mendelian randomization analysis. Hematology 2024; 29:2399421. [PMID: 39240224 DOI: 10.1080/16078454.2024.2399421] [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: 05/08/2024] [Accepted: 08/27/2024] [Indexed: 09/07/2024] Open
Abstract
BACKGROUND Previous observational studies have hinted at a potential correlation between aplastic anemia (AA) and the gut microbiome. However, the precise nature of this bidirectional causal relationship remains uncertain. METHODS We conducted a bidirectional two-sample Mendelian randomization (MR) study to investigate the potential causal link between the gut microbiome and AA. Statistical analysis of the gut microbiome was based on data from an extensive meta-analysis (genome-wide association study) conducted by the MiBioGen Alliance, involving 18,340 samples. Summary statistical data for AA were obtained from the Integrative Epidemiology Unit database. Single -nucleotide polymorphisms (SNPs) were estimated and summarized using inverse variance weighted (IVW), MR Egger, and weighted median methods in the bidirectional MR analysis. Cochran's Q test, MR Egger intercept test, and sensitivity analysis were employed to assess SNP heterogeneity, horizontal pleiotropy, and stability. RESULTS The IVW analysis revealed a significant correlation between AA and 10 bacterial taxa. However, there is currently insufficient evidence to support a causal relationship between AA and the composition of gut microbiome. CONCLUSION This study suggests a causal connection between the prevalence of specific gut microbiome and AA. Further investigation into the interaction between particular bacterial communities and AA could enhance efforts in prevention, monitoring, and treatment of the condition.
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Affiliation(s)
- Juan Liu
- Department of Haematology, Suining Central Hospital, Suining, People's Republic of China
| | - Xin Wang
- Department of Haematology, Suining Central Hospital, Suining, People's Republic of China
| | - Liping Huang
- Department of Haematology, Suining Central Hospital, Suining, People's Republic of China
| | - Xinlu Lin
- Department of Haematology, Suining Central Hospital, Suining, People's Republic of China
| | - Wei Yin
- Department of Haematology, Suining Central Hospital, Suining, People's Republic of China
| | - Mingliang Chen
- Department of Hepatobiliary Surgery, Suining Central Hospital, Suining, People's Republic of China
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15
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Ma J, Zhang J, Zhang Y, Wang Z. Causal effects of noise and air pollution on multiple diseases highlight the dual role of inflammatory factors in ambient exposures. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 951:175743. [PMID: 39182784 DOI: 10.1016/j.scitotenv.2024.175743] [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: 06/03/2024] [Revised: 07/08/2024] [Accepted: 08/22/2024] [Indexed: 08/27/2024]
Abstract
BACKGROUND Noise and air pollution are significant environmental threats with proven adverse health effects. However, the causality between these ambient exposures and disease is still largely unknown. This study aims to provide genetic evidence for this gap and investigates the dual role of inflammatory factors, emphasizing the need for integrated public health strategies. METHODS We included noise and air pollution as exposures, 91 inflammatory factors as mediators, and 26 diseases as outcomes. We explored causal relationships using Mendelian randomization. To ensure the reliability, we screened single nucleotide polymorphisms (SNPs) closely associated with exposure as instrumental variables (IVs), and assessed the pleiotropy and heterogeneity of these IVs. RESULTS Our results suggest that "Hearing difficulty/problems with background noise" increases the risk of hypertension, bronchitis, and menopause; loud music exposure frequency increases the risk of bronchitis; noisy workplace raises the risk of hypertension, coronary heart disease, narcolepsy, and irritable bowel syndrome; NO2 increases the risk of myocardial infarction and chronic heart failure; NOx increases the risk of pneumonia and inflammatory diseases of female pelvic organs; and PM10 increases the risk of myocardial infarction, narcolepsy, and type 2 diabetes; PM2.5-10 increases the risk of developing pneumonia and type 2 diabetes. Furthermore, we found that nine inflammatory factors play a mediating role, of which four play a mediating role in increasing the risk of morbidity and eight play a mediating role in protection against ambient exposures. Finally, we selected SNPs significantly associated with exposure and outcome for enrichment analysis. CONCLUSIONS This study provides the first genetic evidence linking noise and air pollution to various diseases, highlighting the dual mediating role of inflammatory factors. Our findings align with the "One Health" framework, emphasizing the interconnectedness of environmental and human health. Integrated public health strategies considering these complex biological responses are essential for promoting overall well-being.
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Affiliation(s)
- Jialao Ma
- The Affiliated Guangzhou Twelfth People's Hospital, Guangzhou Medical University, Guangzhou 510620, China; Key Laboratory of Occupational Environment and Health, Guangzhou Twelfth People's Hospital, Guangzhou 510620, China
| | - Jinwei Zhang
- Key Laboratory of Occupational Environment and Health, Guangzhou Twelfth People's Hospital, Guangzhou 510620, China
| | - Yifan Zhang
- The Affiliated Guangzhou Twelfth People's Hospital, Guangzhou Medical University, Guangzhou 510620, China; Key Laboratory of Occupational Environment and Health, Guangzhou Twelfth People's Hospital, Guangzhou 510620, China
| | - Zhi Wang
- The Affiliated Guangzhou Twelfth People's Hospital, Guangzhou Medical University, Guangzhou 510620, China; Key Laboratory of Occupational Environment and Health, Guangzhou Twelfth People's Hospital, Guangzhou 510620, China.
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16
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Wu J, Chen X, Li R, Lu Q, Ba Y, Fang J, Liu Y, Li R, Liu Y, Wang Y, Chen J, Li Y, Huang Y. Identifying genetic determinants of sarcopenia-related traits: a Mendelian randomization study of druggable genes. Metabolism 2024; 160:155994. [PMID: 39117060 DOI: 10.1016/j.metabol.2024.155994] [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: 12/12/2023] [Revised: 07/27/2024] [Accepted: 08/03/2024] [Indexed: 08/10/2024]
Abstract
BACKGROUND Sarcopenia, characterized by progressive muscle mass and function loss, particularly affects the elderly, and leads to severe consequences such as falls and mortality. Despite its prevalence, targeted pharmacotherapies for sarcopenia are lacking. Utilizing large-sample genome-wide association studies (GWAS) data is crucial for cost-effective drug discovery. METHODS Herein, we conducted four studies to understand the putative causal effects of genetic components on muscle mass and function. Study 1 employed a two-sample Mendelian randomization (MR) on 15,944 potential druggable genes, investigating their potential causality with muscle quantity and quality in a European population (N up to 461,089). Study 2 validated MR results through sensitivity analyses and colocalization analyses. Study 3 extended validation across other European cohorts, and study 4 conducted quantitative in vivo verification. RESULTS MR analysis revealed significant causality between four genes (BLOC-1 related complex subunit 7, BORCS7; peptidase m20 domain containing 1, PM20D1; nuclear casein kinase and cyclin dependent kinase substrate 1, NUCKS1 and ubiquinol-cytochrome c reductase complex assembly factor 1, UQCC1) and muscle mass and function (p-values range 5.98 × 10-6 to 9.26 × 10-55). To be specific, BORCS7 and UQCC1 negatively regulated muscle quantity and quality, whereas enhancing PM20D1 and NUCKS1 expression showed promise in promoting muscle mass and function. Causal relationships remained robust across sensitivity analyses, with UQCC1 exhibiting notable colocalization effects (PP·H4 93.4 % to 95.8 %). Further validation and in vivo replication verified the potential causality between these genes and muscle mass as well as function. CONCLUSIONS Our druggable genome-wide MR analysis identifies BORCS7, PM20D1, NUCKS1, and UQCC1 as causally associated with muscle mass and function. These findings offer insights into the genetic basis of sarcopenia, paving the way for these genes to become promising drug targets in mitigating this debilitating condition.
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Affiliation(s)
- Jihao Wu
- Department of Endocrinology, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou 510080, China; Center for Stem Cell Biology and Tissue Engineering, Key Laboratory for Stem Cells and Tissue Engineering, Ministry of Education, Sun Yat-Sen University, Guangzhou 510080, China
| | - Xiong Chen
- Department of Urology, Sun Yat-sen Memorial Hospital, Sun Yat-Sen University, Guangzhou 510120, China
| | - Ruijun Li
- Center for Stem Cell Biology and Tissue Engineering, Key Laboratory for Stem Cells and Tissue Engineering, Ministry of Education, Sun Yat-Sen University, Guangzhou 510080, China
| | - Qiying Lu
- Center for Stem Cell Biology and Tissue Engineering, Key Laboratory for Stem Cells and Tissue Engineering, Ministry of Education, Sun Yat-Sen University, Guangzhou 510080, China; Department of Rehabilitation Medicine, The Third Affiliated Hospital, Sun Yat-sen University, 600 Tianhe Road, Guangzhou 510630, China
| | - Yucheng Ba
- Center for Stem Cell Biology and Tissue Engineering, Key Laboratory for Stem Cells and Tissue Engineering, Ministry of Education, Sun Yat-Sen University, Guangzhou 510080, China
| | - Jiayun Fang
- Center for Stem Cell Biology and Tissue Engineering, Key Laboratory for Stem Cells and Tissue Engineering, Ministry of Education, Sun Yat-Sen University, Guangzhou 510080, China
| | - Yilin Liu
- Center for Stem Cell Biology and Tissue Engineering, Key Laboratory for Stem Cells and Tissue Engineering, Ministry of Education, Sun Yat-Sen University, Guangzhou 510080, China
| | - Ruijie Li
- Center for Stem Cell Biology and Tissue Engineering, Key Laboratory for Stem Cells and Tissue Engineering, Ministry of Education, Sun Yat-Sen University, Guangzhou 510080, China
| | - Yixuan Liu
- Center for Stem Cell Biology and Tissue Engineering, Key Laboratory for Stem Cells and Tissue Engineering, Ministry of Education, Sun Yat-Sen University, Guangzhou 510080, China
| | - Yiling Wang
- Center for Stem Cell Biology and Tissue Engineering, Key Laboratory for Stem Cells and Tissue Engineering, Ministry of Education, Sun Yat-Sen University, Guangzhou 510080, China
| | - Jinsi Chen
- Center for Stem Cell Biology and Tissue Engineering, Key Laboratory for Stem Cells and Tissue Engineering, Ministry of Education, Sun Yat-Sen University, Guangzhou 510080, China
| | - Yanbing Li
- Department of Endocrinology, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou 510080, China
| | - Yinong Huang
- Department of Endocrinology, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou 510080, China; Center for Stem Cell Biology and Tissue Engineering, Key Laboratory for Stem Cells and Tissue Engineering, Ministry of Education, Sun Yat-Sen University, Guangzhou 510080, China.
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Lv Y. The effects of immunomodulatory drugs on cerebral small vessel disease: A mediation Mendelian randomization analysis. Int Immunopharmacol 2024; 140:112786. [PMID: 39121606 DOI: 10.1016/j.intimp.2024.112786] [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: 04/09/2024] [Revised: 06/05/2024] [Accepted: 07/23/2024] [Indexed: 08/12/2024]
Abstract
BACKGROUND There are only a few recognized drug targets for cerebral small vessel disease (CSVD). Though inflammation is increasingly implicated in the development of CSVD, it remains unclear whether immunomodulation could become a therapeutic target. Accordingly, the Mendelian randomization (MR) method was used to assess the genetically proxied impacts of IL6 receptor (IL6R) inhibitor, IL1β inhibitor, Tumor necrosis factor (TNF) inhibitor and β-tubulin inhibitor on CSVD through. METHODS Single nucleotide polymorphisms (SNPs) near the IL6R, IL1β, TNFRSF1A and β-tubulin genes were identified as genetic proxies for immunomodulatory drugs. These SNPs exhibited significant associations with serum C-reactive protein (CRP) levels in a large European genome-wide association study. The causal effects of immunomodulatory drugs on CSVD manifestations and the mediation influence of 731 peripheral blood immune phenotypes linking these drugs to CSVD manifestations were examined using a two-sample two-step MR approach. RESULTS A total of 9, 18, 4 and 1 SNP were identified to proxy the effects of IL1β inhibitor, IL6R inhibitor, TNF inhibitor and β-tubulin inhibitor, respectively. MR analysis showed a significant causal relationship between IL1β inhibition and reduced volume of periventricular white matter hyperintensity (PWMH). IL6R inhibition was associated with a reduced risk of small vessel stroke, decreased axial diffusivity and mean diffusivity. Genetically proxied TNF inhibition may decrease the occurrence of cerebral microbleeds (CMBs) and severe enlarged perivascular spaces located at white matter (WM-EPVS). It could also protect WM integrity, as evidenced by the reduced volumes of PWMH and deep white matter hyperintensity (DWMH). Various peripheral blood immune phenotypes exhibited significant associations with immunomodulatory drugs. Notably, the median fluorescence intensity (MFI) of CD45 on CD8br cells partially mediated the effects of IL1β inhibitor on PWMH volume. Indirect effects of TNF inhibition on PWMH and DWMH volume through the MFI of CD127 on CD28- CD8br cells were observed. The effects of TNF inhibition on the occurrence of any CMBs were partially mediated by the MFI of CD45 on natural killer T cells, and the effects of TNF inhibition on the occurrence of lobar CMBs were partially mediated by the MFI of HLA DR on CD33- HLA DR+ cells. Furthermore, the MFI of HLA DR on CD33- HLA DR+ cells partially mediated the effects of TNF inhibition on WM-EPVS. CONCLUSIONS IL1β inhibitor, IL6R inhibitor and TNF inhibitor were associated with lower burden of CSVD while the activation of certain immune cells such as Tregs and myeloid cells partially mediated their protective effects.
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Affiliation(s)
- Yanchen Lv
- Department of Neurology, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.
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Rontogianni MO, Gill D, Bouras E, Asimakopoulos AG, Tzoulaki I, Karhunen V, Lehtimäki T, Raitakari O, Wielscher M, Salomaa V, Jalkanen S, Salmi M, Timonen M, Yarmolinsky J, Chen J, Tobin MD, Izquierdo AG, Herzig KH, Ioannides AE, Jarvelin MR, Dehghan A, Tsilidis KK. Association of inflammatory cytokines with lung function, chronic lung diseases, and COVID-19. iScience 2024; 27:110704. [PMID: 39319267 PMCID: PMC11417323 DOI: 10.1016/j.isci.2024.110704] [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: 02/19/2024] [Revised: 06/14/2024] [Accepted: 08/06/2024] [Indexed: 09/26/2024] Open
Abstract
We investigated the effects of 35 inflammatory cytokines on respiratory outcomes, including COVID-19, asthma (atopic and non-atopic), chronic obstructive pulmonary disease (COPD), and pulmonary function indices, using Mendelian randomization and colocalization analyses. The emerging associations were further explored using observational analyses in the UK Biobank. We found an inverse association between genetically predicted macrophage colony stimulating factor (MCSF), soluble intercellular adhesion molecule-1 (sICAM), and soluble vascular cell adhesion molecule-1 with risk of COVID-19 outcomes. sICAM was positively associated with atopic asthma risk, whereas tumor necrosis factor-alfa showed an inverse association. A positive association was shown between interleukin-18 and COPD risk (replicated in observational analysis), whereas an inverse association was shown for interleukin-1 receptor antagonist (IL-1ra). IL-1ra and monocyte chemotactic protein-3 were positively associated with lung function indices, whereas inverse associations were shown for MCSF and interleukin-18 (replicated in observational analysis). Our results point to these cytokines as potential pharmacological targets for respiratory traits.
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Affiliation(s)
- Marina O. Rontogianni
- Department of Hygiene and Epidemiology, University of Ioannina School of Medicine, Ioannina, Greece
| | - Dipender Gill
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
| | - Emmanouil Bouras
- Department of Hygiene and Epidemiology, University of Ioannina School of Medicine, Ioannina, Greece
| | | | - Ioanna Tzoulaki
- Department of Hygiene and Epidemiology, University of Ioannina School of Medicine, Ioannina, Greece
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
| | - Ville Karhunen
- Research Unit of Population Health, Faculty of Medicine, University of Oulu, Oulu, Finland
- Research Unit of Mathematical Sciences, University of Oulu, Oulu, Finland
| | - Terho Lehtimäki
- Department of Clinical Chemistry, Faculty of Medicine & Health Technology, Tampere University, Tampere, Finland
- Finnish Cardiovascular Research Center Tampere, Faculty of Medicine & Health Technology, Tampere University, Tampere, Finland
- Fimlab Laboratories, Tampere, Finland
| | - Olli Raitakari
- Centre for Population Health Research, University of Turku and Turku University Hospital, Turku, Finland
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland
- Department of Clinical Physiology and Nuclear Medicine, Turku University Hospital, Turku, Finland
| | - Matthias Wielscher
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
| | - Veikko Salomaa
- Finnish Institute for Health and Welfare, Helsinki, Finland
| | - Sirpa Jalkanen
- MediCity Research Laboratory, University of Turku, Turku, Finland
- Institute of Biomedicine, University of Turku, Turku, Finland
- InFLAMES Fiagship, University of Turku, Turku, Finland
| | - Marko Salmi
- MediCity Research Laboratory, University of Turku, Turku, Finland
- Institute of Biomedicine, University of Turku, Turku, Finland
- InFLAMES Fiagship, University of Turku, Turku, Finland
| | - Markku Timonen
- Research Unit of Population Health, University of Oulu, Oulu, Finland
- Medical Research Center (MRC) and University Hospital, Oulu, Finland
| | - James Yarmolinsky
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Jing Chen
- Genetic Epidemiology Group, Department of Health Sciences, University of Leicester, Leicester, UK
| | - Martin D. Tobin
- Genetic Epidemiology Group, Department of Health Sciences, University of Leicester, Leicester, UK
- National Institute for Health Research, Leicester Respiratory Biomedical Research Centre, Glenfield Hospital, Leicester, UK
| | | | - Karl-Heinz Herzig
- Medical Research Center (MRC) and University Hospital, Oulu, Finland
- Research Unit of Biomedicine and Internal Medicine, Faculty of Medicine, University of Oulu, Oulu, Finland
- Pediatric Gastroenterology and Metabolic Diseases, Pediatric Institute, Poznan University of Medical Sciences, Poznan, Poland
| | - Anne E. Ioannides
- Department of Primary Care and Public Health, School of Public Health, Imperial College London, White City Campus, London, UK
| | - Marjo-Riitta Jarvelin
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
- Research Unit of Population Health, Faculty of Medicine, University of Oulu, Oulu, Finland
- Unit of Primary Care, Oulu University Hospital, Oulu, Finland
- Department of Life Sciences, College of Health and Life Sciences, Brunel University London, Uxbridge, UK
| | - Abbas Dehghan
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
- UK Dementia Research Institute at Imperial College London, London, UK
| | - Konstantinos K. Tsilidis
- Department of Hygiene and Epidemiology, University of Ioannina School of Medicine, Ioannina, Greece
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
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19
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Wang M, Mo D, Zhou C, Zhang W, Chen R, Xu J, Zhang N, Yu H. Causal association between Neuroticism and risk of aortic aneurysm: A bidirectional two-sample Mendelian randomization study. J Affect Disord 2024; 363:331-339. [PMID: 39059476 DOI: 10.1016/j.jad.2024.07.100] [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: 01/26/2024] [Revised: 06/08/2024] [Accepted: 07/16/2024] [Indexed: 07/28/2024]
Abstract
BACKGROUND The objective of this study was to analyze the causal relationship between Neuroticism and aortic aneurysm using Mendelian randomization (MR). The study aimed to establish a foundation for the development of effective prevention and treatment strategies. METHODS Genetic association data for Neuroticism were obtained from the UK Biobank, which included 393,411 individuals and 11,968,760 single nucleotide polymorphisms (SNPs). Genetic association data for aortic aneurysm were obtained from a genome-wide association study (GWAS), which included 479,194 individuals and 24,191,825 SNPs. Heterogeneity was assessed using the Cochran's Q statistic test. The study also utilized the MR Pleiotropy RESidual Sum and Outlier (Mr-PRESSO) test, as well as the MR-Egger regression method, to examine horizontal pleiotropy and determine the reliability of the findings through the leave-one-out method. RESULTS Forward MR analysis showed that the risk of aortic aneurysm was elevated in individuals with genetically predicted Neuroticism compared to those without Neuroticism (OR = 1.1315, 95 % CI: 1.0269-1.2468; P = 0.0126). The Cochran's Q test showed no heterogeneity (P > 0.05), and the MR-PRESSO test did not identify instrumental variables of horizontal pleiotropy (P > 0.05). The MR analysis remained robust after removing SNPs one by one. Inverse MR analysis did not observe an association between aortic aneurysm and having Neuroticism OR = 1.030, 95 % CI: 0.9459-1.118, P = 0.488). CONCLUSION Our study has established a clear causal relationship between genetically determined Neuroticism and the development of aortic aneurysms. It is therefore important to intensify screening and prevention efforts for aortic aneurysms in neurotic patients. It also opens new avenues for exploring the disease's pathogenesis.
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Affiliation(s)
- Mengmeng Wang
- Department of Cardiology, The Affiliated Hospital of Qingdao University, Qingdao 266000, Shandong, China.
| | - Degang Mo
- Department of Cardiology, The Affiliated Hospital of Qingdao University, Qingdao 266000, Shandong, China
| | - Chi Zhou
- Department of Cardiology, The Affiliated Hospital of Qingdao University, Qingdao 266000, Shandong, China
| | - Wenqiang Zhang
- Department of Cardiology, The Affiliated Hospital of Qingdao University, Qingdao 266000, Shandong, China
| | - Rui Chen
- Department of Cardiology, The Affiliated Hospital of Qingdao University, Qingdao 266000, Shandong, China
| | - Jiachao Xu
- Department of Cardiology, The Affiliated Hospital of Qingdao University, Qingdao 266000, Shandong, China
| | - Ning Zhang
- Department of Cardiology, The Affiliated Hospital of Qingdao University, Qingdao 266000, Shandong, China.
| | - Haichu Yu
- Department of Cardiology, The Affiliated Hospital of Qingdao University, Qingdao 266000, Shandong, China.
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20
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Peng Y, Long XD. Evaluating genetic insights into ulcerative colitis and anxiety: Limitations and future directions. World J Gastroenterol 2024; 30:4156-4159. [DOI: 10.3748/wjg.v30.i37.4156] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/21/2024] [Revised: 09/04/2024] [Accepted: 09/13/2024] [Indexed: 09/26/2024] Open
Abstract
We reviewed the study by He et al, which investigates the genetic correlation between ulcerative colitis (UC) and anxiety using bidirectional Mendelian randomization. This study reveals a genetic link between UC and anxiety, diverging from prior research associating higher anxiety with Crohn’s disease. While the study's use of large-scale genome-wide association studies data is commendable, it faces limitations such as single nucleotide polymorphism selection biases, lack of multiple testing corrections, and a reliance on European populations. Future research should address these limitations, incorporate diverse populations, and explore psychotherapeutic interventions to improve UC management and patient outcomes.
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Affiliation(s)
- Ying Peng
- Department of Pathology, The First Affiliated Hospital, Guangxi Medical University, Nanning 530021, Guangxi Zhuang Autonomous Region, China
- Department of Pathology, Shenzhen Qianhai Shekou Free Trade Zone Hospital, Shenzhen 518000, Guangdong Province, China
- Department of Pathology, The Affiliated Hospital of Youjiang Medical University for Nationalities, Baise 533000, Guangxi Zhuang Autonomous Region, China
| | - Xi-Dai Long
- Department of Pathology, The Affiliated Hospital of Youjiang Medical University for Nationalities, Baise 533000, Guangxi Zhuang Autonomous Region, China
- Department of Liver Surgery, Ren Ji Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai 200000, China
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21
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Ren X, Hu R, Zhang H. A Mendelian analysis of the causality between inflammatory cytokines and digestive tract cancers. Postgrad Med J 2024:qgae132. [PMID: 39362654 DOI: 10.1093/postmj/qgae132] [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: 07/04/2024] [Revised: 08/27/2024] [Accepted: 09/19/2024] [Indexed: 10/05/2024]
Abstract
PURPOSE In this study, we performed a two-sample Mendelian randomization (MR) analysis to assess the causality between inflammatory cytokines and the risk of digestive tract cancers (DTCs). Furthermore, we conducted a molecular docking study to predict the therapeutic mechanisms of traditional Chinese medicine (TCM) compounds in the treatment of DTCs. METHODS In our MR analysis, genetic variations associated with eight types of DTCs were utilized, which were sourced from a large publicly available genome-wide association study dataset (7929 cases and 1 742 407 controls of European ancestry) and inflammatory cytokines data from a genome-wide association study summary of 8293 European participants. Inverse-variance weighted method, MR-Egger, and weighted median were performed to analyze and strengthen the final results. We investigated the effects of 41 inflammatory molecules on 8 types of DTCs. Subsequently, the effect of DTCs on positive inflammatory factors was analyzed by means of inverse MR. Molecular docking was exploited to predict therapeutic targets with TCM compounds. RESULTS Interleukin-7, interleukin-16, macrophage colony-stimulating factor, monokine induced by interferon-gamma, and vascular endothelial growth factor may be significantly associated with various types of DTCs. Five TCM compounds (baicalin, berberine, curcumin, emodin, and salidroside) demonstrated better binding energies to both interleukin-7 and vascular endothelial growth factor than carboplatin. CONCLUSION This study provides strong evidence to support the potential causality of some inflammatory cytokines on DTCs and indicates the potential molecular mechanism of TCM compounds in the treatment of DTCs. Key message What is already known on this topic The increasing evidence indicates that inflammatory cytokines are implicated in the pathogenesis of digestive tract cancers (DTCs). Nevertheless, the causal relationship between inflammatory cytokines and DTCs remains indistinct. Additionally, certain traditional Chinese medicine compounds have been demonstrated to treat DTCs by influencing inflammatory factors, yet their underlying potential mechanisms remain ambiguous. What this study adds In this study, Mendelian randomization analysis was performed for the first time regarding the causality between human inflammatory cytokines and eight types of DTCs, which revealed that inflammatory factors may play different roles in different types of DTCs. Moreover, molecular docking of key inflammatory factors was implemented, indicating the targets for drug actions. How this study might affect research, practice, or policy This research has the potential to reveal the causality between 41 inflammatory factors and 8 DTCs, offering novel perspectives for the prevention and management strategies of DTCs. Additionally, it indicates the targets for the actions of traditional Chinese medicine on the key inflammatory factors of these cancers.
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Affiliation(s)
- Xing Ren
- Institute of Interdisciplinary Integrative Medicine Research, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China
| | - Rong Hu
- Institute of Science, Technology and Humanities, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China
| | - Hui Zhang
- Institute of Interdisciplinary Integrative Medicine Research, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China
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22
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Zheng Z, Chen D, Lv J, Du J, Liu K. Causal effects of plasma metabolites on autoimmune hepatitis (AIH): a bidirectional two-sample mendelian randomization study. Sci Rep 2024; 14:22944. [PMID: 39362997 DOI: 10.1038/s41598-024-74387-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2023] [Accepted: 09/25/2024] [Indexed: 10/05/2024] Open
Abstract
Autoimmune hepatitis(AIH) is a chronic progressive inflammatory liver disease induced by loss of immune tolerance. The role of circulating metabolites in disease pathogenesis is unclear. This study aimed to investigate potential causal links between plasma metabolites and AIH risk by employing a two-sample Mendelian randomization approach. A comprehensive bidirectional two-sample Mendelian randomization analysis was conducted using genome-wide significant variant-metabolite and variant-AIH associations in European ancestry individuals. Various methods assessed causal relationships among 1400 metabolites and AIH, incorporating sensitivity analyses to evaluate pleiotropy and heterogeneity. Fifty-eight metabolites displayed possible associations, including increased AIH risk with genetically predicted higher kynurenine (p = 2.79 × 10- 5, OR: 1.64, 95% CI 1.30-2.07) and a protective effect for the dopamine sulfate ratio (p = 1.06 × 10- 5,OR: 0.62, 95% CI 0.49-0.79). Reciprocal analysis revealed a causal effect of AIH on kynurenine( p = 2.79 × 10- 5, OR: 1.64, 95% CI 1.30-2.07), but not on the dopamine sulfate ratio(p = 0.691, OR: 1.05, 95% CI 0.67-1.64). Our genetics-based approach provides evidence supporting a causal role for specific metabolite levels in AIH risk. The results deliver evidence supporting a causal effect of a specific metabolite ratio(dopamine 4-sulfate/dopamine 3-O-sulfate) on AIH risk. Experimental validation and mechanistic examinations are warranted to confirm findings.
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Affiliation(s)
- Zhen Zheng
- Department of Chemoradiation Oncology, The Affiliated Lihuili Hospital of Ningbo University, Ningbo, Zhejiang, China
| | - Dahua Chen
- Department of Gastroenterology, The Affiliated Lihuili Hospital of Ningbo University, Ningbo, Zhejiang, China
| | - Jiaming Lv
- Department of Chemoradiation Oncology, The Affiliated Lihuili Hospital of Ningbo University, Ningbo, Zhejiang, China
| | - Juan Du
- Department of Chemoradiation Oncology, The Affiliated Lihuili Hospital of Ningbo University, Ningbo, Zhejiang, China
| | - Kaitai Liu
- Department of Chemoradiation Oncology, The Affiliated Lihuili Hospital of Ningbo University, Ningbo, Zhejiang, China.
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Kong QX, Gao ZK, Liu Y, Jiang LL, Liu YJ, Lian ZY. Explore genetic susceptibility association between viral infections and Guillain-Barré syndrome risk using two-sample Mendelian randomization. J Transl Med 2024; 22:890. [PMID: 39358724 DOI: 10.1186/s12967-024-05704-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2024] [Accepted: 09/25/2024] [Indexed: 10/04/2024] Open
Abstract
BACKGROUND Numerous observational studies have indicated that patients with Guillain-Barré syndrome (GBS) frequently had infections with various pathogens before the onset of the disease, particularly several viral infections. Some of these infections are linked to specific clinical and immunological subgroups of GBS, suggesting a potential correlation between viral infections and the development of GBS. However, observational studies have several limitations, including the presence of confounding factors. METHOD We explored the potential correlation between HIV, SARS-CoV-2, varicella-zoster virus, herpes simplex virus, Epstein-Barr virus, hepatitis B virus, and influenza virus with GBS using a two-sample Mendelian randomization approach. The data was derived from published summary statistics from genome-wide association studies (GWAS). After removing linkage disequilibrium, selecting strong instrumental variables and addressing confounding factors, we would conduct a two-sample Mendelian randomization analysis along with sensitivity testing and the MR-Steiger directional test. RESULT HIV may have a causal association with GBS (IVW: p = 0.010, OR [95% CI] 1.240 [1.052-1.463]), while no such relationship exists with COVID-19 (IVW: p = 0.275, OR [95% CI] 0.831[0.596-1.159]), varicella (IVW: p = 0.543, OR [95% CI] 0.919 [0.701-1.206]), herpes zoster (IVW: p = 0.563, OR [95% CI] 0.941 [0.766-1.156]), HSV (IVW: p = 0.280, OR [95% CI] 1.244 [0.837-1.851]), EBV (IVW: p = 0.218, OR [95% CI] 0.883 [0.724-1.076]), HBV (IVW: p = 0.179, OR [95% CI] 1.072 [0.969-1.187]), or influenza virus (IVW: p = 0.917, OR [95% CI] 0.971 [0.553-1.703]). We did not find any abnormal SNPs, pleiotropy, or heterogeneity, nor is there any reverse causation. CONCLUSION Our study results indicate a causal relationship between HIV and GBS, providing new research directions for the etiology of GBS.
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Affiliation(s)
- Qing-Xiang Kong
- Institute of Neuroscience, School of Basic Medical Sciences, Chongqing Medical University, Chongqing, China
| | - Zhao-Kun Gao
- Institute of Neuroscience, School of Basic Medical Sciences, Chongqing Medical University, Chongqing, China
| | - Yan Liu
- Institute of Neuroscience, School of Basic Medical Sciences, Chongqing Medical University, Chongqing, China
| | - Lu-Lu Jiang
- Institute of Neuroscience, School of Basic Medical Sciences, Chongqing Medical University, Chongqing, China
| | - Yuan-Jie Liu
- Institute of Neuroscience, School of Basic Medical Sciences, Chongqing Medical University, Chongqing, China.
- Department of Anatomy, Chongqing Medical University, Chongqing, China.
- Key Laboratory of Major Brain Disease and Aging Research (Ministry of Education), Chongqing Medical University, Chongqing, China.
| | - Zhi-Yun Lian
- Department of Neurology, Chongqing Hospital of Traditional Chinese Medicine, Chongqing, China.
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Wu Q, Fu J, Zhang C, Liu Z, Shi J, Feng Z, Wang K, Li L. Causal relationship between Lipdome and Chronic Obstructive Pulmonary Disease and Asthma: Mendelian randomization. 3 Biotech 2024; 14:249. [PMID: 39328502 PMCID: PMC11424600 DOI: 10.1007/s13205-024-04071-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2024] [Accepted: 08/28/2024] [Indexed: 09/28/2024] Open
Abstract
Genetic risk significantly influence susceptibility and heterogeneity of chronic obstructive pulmonary disease (COPD) and asthma, and increasing evidence suggests their close association with lipdome. However, their causal relationship remains unclear. In this study, we conducted a two-sample MR (Mendelian randomization) analysis using publicly available large-scale genome-wide association studies (GWAS) data to evaluate the causal impact of lipdome on COPD and asthma. The inverse variance weighted (IVW) method served as the primary analysis method, and multiple sensitivity and heterogeneity tests were performed to assess the reliability of the results. Finally, a Meta-analysis was conducted on lipdome with significant causal relationships to validate the robustness of the results. Our findings suggest that Sterol ester (27:1/18:2), Phosphatidylcholine (15:0_18:2), (16:0_18:2), (16:0_20:2), (17:0_18:2), (18:1_18:1), (18:1_18:2), (18:1_20:2), Triacylglycerol (54:3), and (56:4) levels are protective factors for COPD, while levels of Phosphatidylcholine (16:0_22:5), (18:0_20:4), and (O-16:0_20:4) are risk factors for COPD. Meta-analysis of lipids causally related to COPD also indicates significant results. Phosphatidylcholine (16:0_20:4), (16:0_22:5), and (18:0_20:4) levels are risk factors for asthma, while Phosphatidylcholine (18:1_18:2), (18:1_20:2), and Sphingomyelin (d38:1) levels are protective factors for asthma. However, the lack of statistical significance in the Meta-analysis may be due to heterogeneity in research methods and data statistics. This study indicates that 4 lipdome species have significant correlations with COPD and asthma. Phosphatidylcholine (18:1_18:2) and (18:1_20:2) are protective factors, while Phosphatidylcholine (16:0_22:5) and (18:0_20:4) are risk factors. Additionally, due to differences in molecular subtypes, phosphatidylcholine, sterol ester, and triacylglycerol exhibit differential effects on the diseases.
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Affiliation(s)
- Qiong Wu
- College of Humanities and Management, Hunan University of Chinese Medicine, Xueshi Road 300, Changsha, 410208 Hunan People's Republic of China
| | - Jingmin Fu
- College of Traditional Chinese Medicine, Hunan University of Chinese Medicine, Xueshi Road 300, Changsha, 410208 Hunan People's Republic of China
| | - Cheng Zhang
- The College of Integrated Traditional Chinese and Western Medicine, Hunan University of Chinese Medicine, Xueshi Road 300, Yuelu District, Changsha, 410208 Hunan People's Republic of China
| | - Zhuolin Liu
- The College of Integrated Traditional Chinese and Western Medicine, Hunan University of Chinese Medicine, Xueshi Road 300, Yuelu District, Changsha, 410208 Hunan People's Republic of China
| | - Jianing Shi
- College of Traditional Chinese Medicine, Hunan University of Chinese Medicine, Xueshi Road 300, Changsha, 410208 Hunan People's Republic of China
| | - Zhiying Feng
- College of Traditional Chinese Medicine, Hunan University of Chinese Medicine, Xueshi Road 300, Changsha, 410208 Hunan People's Republic of China
| | - Kangyu Wang
- College of Traditional Chinese Medicine, Hunan University of Chinese Medicine, Xueshi Road 300, Changsha, 410208 Hunan People's Republic of China
| | - Ling Li
- The College of Integrated Traditional Chinese and Western Medicine, Hunan University of Chinese Medicine, Xueshi Road 300, Yuelu District, Changsha, 410208 Hunan People's Republic of China
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25
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Sharma J, Jangale V, Swain AK, Yadav P. An optimized instrument variable selection approach to improve causality estimation in association studies. Sci Rep 2024; 14:22781. [PMID: 39354059 PMCID: PMC11445377 DOI: 10.1038/s41598-024-73970-z] [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: 05/01/2024] [Accepted: 09/23/2024] [Indexed: 10/03/2024] Open
Abstract
Mendelian randomization (MR) is an emerging tool for inferring causality in genetic epidemiology. MR studies suffer bias from weak genetic instrument variables (IVs) and horizontal pleiotropy. We introduce a robust integrative framework strictly adhering with STROBE-MR guidelines to improve causality inference through MR studies. We implemented novel t-statistics-based criteria to improve the reliability of selected IVs followed by various MR methods. Further, we include sensitivity analyses to remove horizontal-pleiotropy bias. For functional validation, we perform enrichment analysis of identified causal SNPs. We demonstrate effectiveness of our proposed approach on 5 different MR datasets selected from diverse populations. Our pipeline outperforms its counterpart MR analyses using default parameters on these datasets. Notably, we found a significant association between total cholesterol and coronary artery disease (P = 1.16 × 10-71) in a single-sample dataset using our pipeline. Contrarily, this same association was deemed ambiguous while using default parameters. Moreover, in a two-sample dataset, we uncover 13 new causal SNPs with enhanced statistical significance (P = 1.06 × 10-11) for liver-iron-content and liver-cell-carcinoma. Likewise, these SNPs remained undetected using the default parameters (P = 7.58 × 10-4). Furthermore, our analysis confirmed previously known pathways, such as hyperlipidemia in heart diseases and gene ME1 in liver cancer. In conclusion, we propose a robust and powerful framework to infer causality across diverse populations and easily adaptable to different diseases.
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Affiliation(s)
- Jyoti Sharma
- Department of Bioscience and Bioengineering, Indian Institute of Technology Jodhpur, Rajasthan, 342030, India
| | - Vaishnavi Jangale
- Department of Bioscience and Bioengineering, Indian Institute of Technology Jodhpur, Rajasthan, 342030, India
| | - Asish Kumar Swain
- Department of Bioscience and Bioengineering, Indian Institute of Technology Jodhpur, Rajasthan, 342030, India
| | - Pankaj Yadav
- Department of Bioscience and Bioengineering, Indian Institute of Technology Jodhpur, Rajasthan, 342030, India.
- School of Artificial Intelligence and Data Science, Indian Institute of Technology Jodhpur, Rajasthan, 342030, India.
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Luo P, Guo R, Gao D, Zhang Q. Causal relationship between sex hormones and cutaneous melanoma: a two-sample Mendelian randomized study. Melanoma Res 2024; 34:408-418. [PMID: 38842104 DOI: 10.1097/cmr.0000000000000983] [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: 06/07/2024]
Abstract
This study aimed to elucidate the genetic aspects of the relationship between sex hormones and cutaneous melanoma risk, providing valuable insights into this complex association. In this study, we used estradiol, bioavailable testosterone, sex hormone-binding globulin, and total testosterone as the exposure and melanoma as the outcome for two-sample Mendelian randomization analysis. In this study, a random-effects inverse-variance weighting (IVW) model was used as the main analysis model, and the corresponding weighted median, simple mode, weighted mode, and Mendelian randomization‒Egger methods were used as supplementary methods. We assessed both heterogeneity and horizontal pleiotropy in our study, scrutinizing whether the analysis results were affected by any individual single nucleotide polymorphism. The random-effects IVW method indicated that estradiol [odds ratio (OR), 1.000; 95% confidence interval (CI), 0.998-1.003; P = 0.658], bioavailable testosterone (OR = 1.001, 95% CI, 0.999-1.003; P = 0.294), sex hormone-binding globulin (IVW: OR, 1.000; 95% CI, 0.998-1.003; P = 0.658), and total testosterone (IVW: OR, 1.002; 95% CI, 0.999-1.005; P = 0.135) were not genetically linked to cutaneous melanoma. No analyses exhibited heterogeneity, horizontal pleiotropy, or deviations. We were unable to find genetic evidence for a causal relationship between sex hormones and the occurrence of cutaneous melanoma in this study. These results are limited by sample size and population, so the causal relationship between sex hormones and cutaneous melanoma needs to be further studied.
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Affiliation(s)
- Pan Luo
- Department of Auricular Reconstruction, Plastic Surgery Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
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Du HC, Deng BY. Obesity-Related Traits Mediate the Effects of Educational Attainment on the Risk of Varicose Veins, Venous Thromboembolism, and Phlebitis. Thromb Haemost 2024; 124:962-970. [PMID: 38729190 DOI: 10.1055/s-0044-1786970] [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: 05/12/2024]
Abstract
BACKGROUND The extent to which educational attainment (EA) influences the risk of varicose veins (VVs), venous thromboembolism (VTE), and phlebitis occurrence, whether this pathway is mediated by obesity-related traits, and the proportion of their mediation is unknown. METHODS A Mendelian randomization (MR) design was used to genetically investigate the causal effects of EA on the risk of VV, VTE, and phlebitis and to assess the mediating effect of obesity-related traits. Causal effects were estimated using primarily the multiplicative random-effects inverse variance-weighted method. This was supplemented by Cochran's Q-statistic, MR-Egger regression, MR funnel plots, and leave-one-out test to evaluate the reliability of the results. For the individual mediation effect, the coefficient product method was mainly utilized to estimate. RESULTS An increase in genetically predicted EA was associated with a lower risk of VV, VTE, and phlebitis, as well as lower body mass index, basal metabolic rate, hip circumference, and waist circumference. As genetically predicted body mass index, basal metabolic rate, hip circumference, and waist circumference increased, the risk of developing VV, VTE, and phlebitis increased, respectively. Body mass index, basal metabolic rate, hip circumference, and waist circumference were identified as mediators of the protective effects of EA on VV, VTE, and phlebitis. CONCLUSION The findings support a causal relationship between higher EA and lower risk of VV, VTE, and phlebitis. Obesity-related traits play a significant mediating role in these pathways, and there are interactions between them, with hip circumference mediating these pathways relatively independently from the other three.
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Affiliation(s)
- Hong-Cheng Du
- Graduate School of Guangxi University of Chinese Medicine, Nanning, China
| | - Bai-Yang Deng
- Ruikang Hospital Affiliated to Guangxi University of Chinese Medicine, Nanning, China
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Jiang L, Shen J, Darst BF, Haiman CA, Mancuso N, Conti DV. Hierarchical joint analysis of marginal summary statistics-Part II: High-dimensional instrumental analysis of omics data. Genet Epidemiol 2024; 48:291-309. [PMID: 38887957 DOI: 10.1002/gepi.22577] [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: 09/27/2023] [Revised: 04/04/2024] [Accepted: 05/15/2024] [Indexed: 06/20/2024]
Abstract
Instrumental variable (IV) analysis has been widely applied in epidemiology to infer causal relationships using observational data. Genetic variants can also be viewed as valid IVs in Mendelian randomization and transcriptome-wide association studies. However, most multivariate IV approaches cannot scale to high-throughput experimental data. Here, we leverage the flexibility of our previous work, a hierarchical model that jointly analyzes marginal summary statistics (hJAM), to a scalable framework (SHA-JAM) that can be applied to a large number of intermediates and a large number of correlated genetic variants-situations often encountered in modern experiments leveraging omic technologies. SHA-JAM aims to estimate the conditional effect for high-dimensional risk factors on an outcome by incorporating estimates from association analyses of single-nucleotide polymorphism (SNP)-intermediate or SNP-gene expression as prior information in a hierarchical model. Results from extensive simulation studies demonstrate that SHA-JAM yields a higher area under the receiver operating characteristics curve (AUC), a lower mean-squared error of the estimates, and a much faster computation speed, compared to an existing approach for similar analyses. In two applied examples for prostate cancer, we investigated metabolite and transcriptome associations, respectively, using summary statistics from a GWAS for prostate cancer with more than 140,000 men and high dimensional publicly available summary data for metabolites and transcriptomes.
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Affiliation(s)
- Lai Jiang
- Department of Population and Public Health Sciences, Division of Biostatistics, Keck School of Medicine, University of Southern California, Los Angeles, California, USA
| | - Jiayi Shen
- Department of Population and Public Health Sciences, Division of Biostatistics, Keck School of Medicine, University of Southern California, Los Angeles, California, USA
| | - Burcu F Darst
- Center for Genetic Epidemiology, Keck School of Medicine, University of Southern California, Los Angeles, California, USA
- Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, Washington, USA
| | - Christopher A Haiman
- Center for Genetic Epidemiology, Keck School of Medicine, University of Southern California, Los Angeles, California, USA
- Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, California, USA
| | - Nicholas Mancuso
- Department of Population and Public Health Sciences, Division of Biostatistics, Keck School of Medicine, University of Southern California, Los Angeles, California, USA
- Center for Genetic Epidemiology, Keck School of Medicine, University of Southern California, Los Angeles, California, USA
- Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, California, USA
| | - David V Conti
- Department of Population and Public Health Sciences, Division of Biostatistics, Keck School of Medicine, University of Southern California, Los Angeles, California, USA
- Center for Genetic Epidemiology, Keck School of Medicine, University of Southern California, Los Angeles, California, USA
- Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, California, USA
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Sun Y, Fan C, Lei D. Association between gut microbiota and postpartum depression: A bidirectional Mendelian randomization study. J Affect Disord 2024; 362:615-622. [PMID: 39029663 DOI: 10.1016/j.jad.2024.07.057] [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: 10/25/2023] [Revised: 07/04/2024] [Accepted: 07/14/2024] [Indexed: 07/21/2024]
Abstract
BACKGROUNDS Empirical investigations have shown an association between gut microbiota and postpartum depression (PPD); nevertheless, the precise cause-and-effect relationship between these two variables remains ambiguous. This research aimed to examine the possible reciprocal causal relationship between the gut microbiota and PPD. METHODS In this work, we used Mendelian randomization (MR) to analyze the relationship between the gut microbiota (n = 18,340) and PPD (n = 67,205). We obtained the relevant SNPs from publicly accessible genome-wide association studies (GWAS). The SNP estimations were combined by the inverse-variance weighted (IVW) method, including sensitivity analyses such as weighted median, MR Egger, and MR Pleiotropy Residual Sum and Outlier (PRESSO). RESULTS We have identified strong correlations between six bacterial characteristics and the likelihood of developing PPD. Our research revealed that the genus Ruminococcaceae UCG010, the family Veillonellaceae, and the class Clostridia had a beneficial effect on preventing PPD. The class Alphaproteobacteria, genus Slackia, and order NB1n were found to have a significant negative impact on PPD. The sensitivity studies conducted on these bacterial features consistently confirmed these finding. LIMITATIONS It is crucial to acknowledge that our study was conducted just within a European society, which may restrict its applicability to other groups. CONCLUSIONS The findings from our MR investigation indicate a potential causal relationship between certain kinds of gut bacteria and PPD. Additional investigation is required to elucidate the influence of gut microbiota on the advancement of PPD.
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Affiliation(s)
- Yonghao Sun
- Fujian Provincial Key Laboratory of Reproductive Health Research, School of Medicine, Xiamen University, Xiamen, China
| | - Cuifang Fan
- Department of Obstetrics, Renmin Hospital of Wuhan University, Wuhan 430000, China.
| | - Di Lei
- Department of Obstetrics, Renmin Hospital of Wuhan University, Wuhan 430000, China.
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Xu T, Li C, Liao Y, Zhang X. Causal relationship between circulating levels of cytokines and bone mineral density: A mendelian randomization study. Cytokine 2024; 182:156729. [PMID: 39126768 DOI: 10.1016/j.cyto.2024.156729] [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: 03/19/2024] [Revised: 06/13/2024] [Accepted: 08/05/2024] [Indexed: 08/12/2024]
Abstract
BACKGROUND Numerous studies have shown that various cytokines are important factors affecting bone mineral density (BMD), but the causality between the two remains uncertain. METHODS Genetic variants associated with 41 circulating cytokines from a genome-wide association study (GWAS) in 8,293 Finns were used as instrumental variables (IVs) for a two-sample Mendelian randomization (MR) analysis. Inverse variance weighting (IVW) was employed as the primary method to investigate whether the 41 cytokines were causally associated with BMD at five different sites [total body bone mineral density (TB-BMD), heel bone mineral density (HE-BMD), forearm bone mineral density (FA-BMD), femoral neck bone mineral density (FN-BMD), and lumbar spine bone mineral density (LS-BMD)]. Weighted median and MR-Egger were chosen to further confirm the robustness of the results. We performed MR pleiotropy residual sum and outlier test (MR-PRESSO), MR-Egger regression, and Cochran's Q test to detect pleiotropy and sensitivity testing. RESULTS After Bonferroni correction, two circulating cytokines had a strong causality with BMD at corresponding sites. Genetically predicted circulating hepatocyte growth factor (HGF) levels and HE-BMD were negatively correlated [β (95 % CI) -0.035(-0.055, -0.016), P=0.00038]. Circulating macrophage inflammatory protein-1α (MIP-1α) levels and TB-BMD were negatively correlated [β(95 %CI): -0.058(-0.092, -0.024), P=0.00074]. Weighted median and MR-Egger results were in line with the IVW results. We also found suggestive causal relationship (IVW P<0.05) between seven circulating cytokines and BMD at corresponding sites. No significant pleiotropy or heterogeneity was observed in our study. CONCLUSION Our MR analyses indicated a causal effect between two circulating cytokines and BMD at corresponding sites (HGF and HE-BMD, MIP-1α and TB-BMD), along with suggestive evidence of a potential causality between seven cytokines and BMD at the corresponding sites. These findings would provide insights into the prevention and treatment of osteoporosis, especially immunoporosis.
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Affiliation(s)
- Taichuan Xu
- Department of Spine, Wuxi Affiliated Hospital of Nanjing University of Chinese Medicine, Wuxi, Jiangsu 214072, China
| | - Chao Li
- Department of Spine, Wuxi Affiliated Hospital of Nanjing University of Chinese Medicine, Wuxi, Jiangsu 214072, China
| | - Yitao Liao
- Department of Spine, Wuxi Affiliated Hospital of Nanjing University of Chinese Medicine, Wuxi, Jiangsu 214072, China
| | - Xian Zhang
- Department of Spine, Wuxi Affiliated Hospital of Nanjing University of Chinese Medicine, Wuxi, Jiangsu 214072, China.
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31
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Geng C, Chen C. Estimating the prevalence and clinical causality of obstructive sleep apnea in paediatric narcolepsy patients. Sleep Breath 2024; 28:2147-2153. [PMID: 38985234 DOI: 10.1007/s11325-024-03100-6] [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: 02/26/2024] [Revised: 06/24/2024] [Accepted: 06/28/2024] [Indexed: 07/11/2024]
Abstract
BACKGROUND Numerous risk factors in paediatric narcolepsy may predispose them to obstructive sleep apnea (OSA). The concurrent presence of OSA in these patients might lead to underdiagnosing narcolepsy. This research investigates the prevalence and potential causality between OSA and paediatric narcolepsy. METHODS A case-control study coupled with a two-sample Mendelian randomization (MR) analysis was employed to explore the prevalence and causal link between paediatric narcolepsy and OSA risk. RESULTS The case-control study revealed that paediatric narcolepsy patients are at an increased risk of OSA, with an Odds ratio (OR) of 4.87 (95% CI: 2.20-10.71; P < 0.001). The inverse-variance weighted (IVW) model further suggests a potential causal link between narcolepsy and OSA (IVW OR: 4.671, 95% CI: 1.925-11.290; P < 0.001). Additionally, sensitivity analysis confirmed these findings' reliability. CONCLUSION The findings highlight an elevated prevalence and genetic susceptibility to OSA among paediatric narcolepsy patients, underscoring the necessity for clinical screening of OSA. Continued research is essential to clarify the pathogenic mechanisms and develop potential treatments.
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Affiliation(s)
- Chaofan Geng
- Department of Neurology & Innovation Center for Neurological Disorders, Xuanwu Hospital, National Center for Neurological Disorders, Capital Medical University, Beijing, China
| | - Chen Chen
- Department of Neurology & Innovation Center for Neurological Disorders, Xuanwu Hospital, National Center for Neurological Disorders, Capital Medical University, Beijing, China.
- Department of Neurology, Zhengzhou University People's Hospital, Henan Provincial People's Hospital, 7 Weiwu Street, Zhengzhou, 450000, China.
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Zhu T, Liu X, Yang P, Ma Y, Gao P, Gao J, Jiang H, Zhang X. The Association between the Gut Microbiota and Erectile Dysfunction. World J Mens Health 2024; 42:772-786. [PMID: 38311371 PMCID: PMC11439808 DOI: 10.5534/wjmh.230181] [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: 06/29/2023] [Revised: 09/06/2023] [Accepted: 10/06/2023] [Indexed: 02/10/2024] Open
Abstract
PURPOSE Explore the causal relationship between the gut microbiota and erectile dysfunction (ED) at phylum, class, order, family, and genus levels, and identify specific pathogenic bacteria that may be associated with the onset and progression of ED. MATERIALS AND METHODS The genetic variation data of 196 human gut microbiota incorporated in our study came from the human gut microbiome Genome Wide Association Studies (GWAS) dataset released by the MiBioGen Consortium. The GWAS statistics for ED were extracted from one study by Bovijn et al., which included 223,805 participants of European ancestry, of whom 6,175 were diagnosed with ED. Subsequently, Mendelian randomization (MR) analysis was carried out to explore whether a causal relationship exists between the gut microbiota and ED. Additionally, bidirectional MR analysis was performed to examine the directionality of the causal relationship. RESULTS Through MR analysis, we found that family Lachnospiraceae (odds ratio [OR]: 1.27, 95% confidence interval [CI]: 1.05-1.52, p=0.01) and its subclass genus LachnospiraceaeNC2004 group (OR: 1.17, 95% CI: 1.01-1.37, p=0.04) are associated with a higher risk of ED. In addition, genus Oscillibacter (OR: 1.17, 95% CI: 1.02-1.35, p=0.03), genus Senegalimassilia (OR: 1.32, 95% CI: 1.06-1.64, p=0.01) and genus Tyzzerella3 (OR: 1.14, 95% CI: 1.02-1.27, p=0.02) also increase the risk of ED. In contrast, the inverse variance weighted estimate of genus RuminococcaceaeUCG013 (OR: 0.77, 95% CI: 0.61-0.96, p=0.02) suggests that it has a protective effect against the occurrence of ED. CONCLUSIONS This study preliminarily identified 6 bacterial taxa that may have a causal relationship with ED, including family Lachnospiraceae, genus Lachnospiraceae NC2004 group, Oscillibacter, Senegalimassilia, Tyzzerella 3 and Ruminococcaceae UCG013. These identified important bacterial taxa may serve as candidates for microbiome intervention in future ED clinical trials.
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Affiliation(s)
- Tianle Zhu
- Department of Urology, The First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Xi Liu
- Department of Urology, The First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Peng Yang
- Department of Urology, The First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Yukuai Ma
- Department of Urology, The First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Pan Gao
- Department of Urology, The First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Jingjing Gao
- Department of Urology, The First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Hui Jiang
- Department of Urology, Peking University First Hospital, Beijing, China
- Institute of Urology, Peking University Andrology Center, Peking University First Hospital, Beijing, China.
| | - Xiansheng Zhang
- Department of Urology, The First Affiliated Hospital of Anhui Medical University, Hefei, China.
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Wang H, Dai Y, Tai Y, Zhou Z, Zhou X, Li B, Yu L. Causal associations of physical activity and leisure sedentary behaviors with age at onset of Huntington's disease: A mendelian randomization study. Parkinsonism Relat Disord 2024; 127:107080. [PMID: 39096550 DOI: 10.1016/j.parkreldis.2024.107080] [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: 05/03/2024] [Revised: 07/14/2024] [Accepted: 07/29/2024] [Indexed: 08/05/2024]
Abstract
BACKGROUND Huntington's disease (HD) is a neurodegenerative disorder for which effective therapies are currently lacking. Studies suggest that increasing physical activity (PA) and reducing leisure sedentary behavior (LSB) mitigate the progression of HD, but their causal relationship with the age at onset (AAO) of HD remains uncertain. To investigate this, we conducted the Two-sample Mendelian Randomization (MR). METHODS Exposure were retrieved from the UK BioBank's (UKB) Genome-Wide Association Study (GWAS). PA included accelerometer-based average PA, vigorous PA, self-reported moderate-to-vigorous PA (MVPA), and light do-it-yourself activity. LSB included television (TV) time, computer time, and driving time. Outcome came from the GWAS of the GEM-HD Consortium. We applied several MR methods such as inverse variance weighted (IVW), MR-Egger regression, weighted median (WM) for sensitivity analysis. RESULTS Increases in light PA (β = 8.53 years, 95 % CI = 10.64 to 44.09, P = 0.001) and accelerometer-based vigorous PA (β = 5.18, 95 % CI = 0.92 to 9.43, P = 0.017) delayed AAO of HD, while longer TV time was associated with earlier AAO of HD (β = -2.88 years, 95 % CI = -4.99 to -0.77, P = 0.007). However, other PA and LSB phenotypes did not significantly affect AAO of HD. CONCLUSION The study revealed a unidirectional causality between PA, LSB and the AAO of HD. Increasing PA and reducing TV time delay HD onset. Therefore, we recommend increasing physical activity and reducing sedentary behavior to delay the occurrence of motor symptoms for premanifest HD individuals.
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Affiliation(s)
- Haonan Wang
- Department of Exercise Physiology, School of Sport Science, Beijing Sport University, Beijing, 100084, China
| | - Yinghong Dai
- The Joint Institute of Smoking and Health & Bioinformatics Centre, National Clinical Research Centre for Geriatric Disorders, Department of Geriatrics, Xiangya Hospital, Central South University, Changsha, Hunan, 410008, China; Department of Neurosurgery, Xiangya Hospital, Central South University, Changsha, China; Xiangya School of Medicine, Central South University, Changsha, Hunan, 410013, China
| | - Yihong Tai
- Department of Exercise Physiology, School of Sport Science, Beijing Sport University, Beijing, 100084, China
| | - Zeng Zhou
- Department of Physical Education and Research, Central South University, Changsha, 410083, China
| | - Xin Zhou
- Department of Human Resource, Hunan Provincial Maternal and Child Health Care Hospital, Changsha, Hunan, 410008, China
| | - Bin Li
- The Joint Institute of Smoking and Health & Bioinformatics Centre, National Clinical Research Centre for Geriatric Disorders, Department of Geriatrics, Xiangya Hospital, Central South University, Changsha, Hunan, 410008, China.
| | - Liang Yu
- Department of Exercise Physiology, School of Sport Science, Beijing Sport University, Beijing, 100084, China.
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Li X, Wu X, Zhou G, Mo D, Lin X, Wang P, Zeng Y, Luo M. Estimated bone mineral density and white matter hyperintensities: A bidirectional Mendelian randomization study. Bone 2024; 187:117138. [PMID: 38914213 DOI: 10.1016/j.bone.2024.117138] [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: 01/20/2024] [Revised: 05/26/2024] [Accepted: 05/27/2024] [Indexed: 06/26/2024]
Abstract
PURPOSE Greater white matter hyperintensities (WMH) in older adults have been associated with reduced bone mineral density (BMD) and increased fractures and falls. However, it is unclear whether there is a causal relationship between BMD reduction and WMH. In this study, Mendelian randomization (MR) was used to find the causality between WMH and estimated BMD (eBMD). METHODS We performed a two-sample bidirectional MR analysis using statistical data obtained from publicly available genome-wide association studies (GWAS). The main method of MR analysis is the inverse-variance weighted (IVW) method. To identify and account for the impact of horizontal pleiotropy, we also employed MR-Egger regression, MR pleiotropy residual sum, and outlier (MR-PRESSO). RESULTS MR analysis found a causal relationship between eBMD and WMH (IVW OR = 0.938, 95 % CI: 0.889-0.990, p = 0.020). Our causal estimates are unlikely to be distorted by horizontal pleiotropy according to heterogeneity test (both p > 0.05) and MR-Egger regression (p > 0.05). However, in the reverse MR analysis, there was no evidence that WMH was causally correlated with eBMD (IVW OR = 0.979, 95 % CI: 0.954-1.005, p = 0.109). CONCLUSION Our results suggest that low eBMD increased the risk of WMH; conversely, no evidence that WMH causally affects eBMD was found.
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Affiliation(s)
- Xiaoling Li
- Department of Neurology, First Affiliated Hospital of Guangxi Medical University, Nanning 530021, China; Guangxi Key Laboratory of Precision Medicine in Cardio-cerebrovascular Diseases Control and Prevention, Nanning, China
| | - Xiaoju Wu
- Department of Neurology, First Affiliated Hospital of Guangxi Medical University, Nanning 530021, China
| | - Guoqiu Zhou
- Department of Neurology, First Affiliated Hospital of Guangxi Medical University, Nanning 530021, China
| | - Dongcan Mo
- Department of Neurology, First Affiliated Hospital of Guangxi Medical University, Nanning 530021, China
| | - Xiaozuo Lin
- Department of Neurology, First Affiliated Hospital of Guangxi Medical University, Nanning 530021, China; Guangxi Key Laboratory of Precision Medicine in Cardio-cerebrovascular Diseases Control and Prevention, Nanning, China
| | - Pingkai Wang
- Department of Neurology, First Affiliated Hospital of Guangxi Medical University, Nanning 530021, China; Guangxi Key Laboratory of Precision Medicine in Cardio-cerebrovascular Diseases Control and Prevention, Nanning, China
| | - Yinan Zeng
- Department of Neurology, First Affiliated Hospital of Guangxi Medical University, Nanning 530021, China
| | - Man Luo
- Department of Neurology, First Affiliated Hospital of Guangxi Medical University, Nanning 530021, China; Guangxi Key Laboratory of Precision Medicine in Cardio-cerebrovascular Diseases Control and Prevention, Nanning, China; Guangxi Clinical Research Center for Cardio-cerebrovascular Diseases, Nanning, China.
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Zeng R, Zhou Z, Liao W, Guo B. Genetic insights into the role of cathepsins in cardiovascular diseases: a Mendelian randomization study. ESC Heart Fail 2024; 11:2707-2718. [PMID: 38714485 PMCID: PMC11424349 DOI: 10.1002/ehf2.14826] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2024] [Revised: 04/05/2024] [Accepted: 04/10/2024] [Indexed: 05/10/2024] Open
Abstract
AIMS This study aimed to explore the causal relationships between cathepsins and cardiovascular diseases (CVDs) by Mendelian randomization (MR) analysis. METHODS AND RESULTS Single nucleotide polymorphisms (SNPs) associated with nine cathepsin types (cathepsins B, E, F, G, H, O, S, L2, and Z) were obtained from the INTERVAL study (3301 individuals). CVDs data were acquired from the UK Biobank (coronary atherosclerosis: 14 334 cases, 346 860 controls) and a genome-wide association study (GWAS) (myocardial infarction: 20 917 cases, 440 906 controls; myocarditis: 633 cases, 427 278 controls; chronic heart failure: 14 262 cases, 471 898 controls; angina pectoris: 30 025 cases, 440 906 controls; stable angina pectoris: 17 894 cases, 325 132 controls; unstable angina pectoris: 9481 cases, 446 987 controls; pericarditis: 1795 cases, 453 370 controls). Inverse variance weighted (IVW), MR-Egger, weighted median methods were adopted to conduct univariable MR (UVMR), reverse MR, multivariable MR (MVMR) analyses to estimate causality. The UVMR analyses demonstrated significant causal relationships between higher cathepsin E levels and increased risk of coronary atherosclerosis [IVW: P = 0.0051, odds ratio (OR) = 1.0033, 95% confidence interval (CI) = 1.0010-1.0056] and myocardial infarction (IVW: P = 0.0097, OR = 1.0553, 95% CI = 1.0131-1.0993), while elevated cathepsin L2 levels were causally related to reduced risk of myocarditis (IVW: P = 0.0120, OR = 0.6895, 95% CI = 0.5158-0.9216) and chronic heart failure (IVW: P = 0.0134, OR = 0.9316, 95% CI = 0.8807-0.9854). Reverse MR analyses revealed that myocardial infarction increased cathepsin O levels (IVW: P = 0.0400, OR = 1.0708, 95% CI = 1.0031-1.1431). MVMR analyses treating nine cathepsins together revealed that the positive causality between cathepsin E levels and coronary atherosclerosis risk (IVW: P = 0.0390, OR = 1.0030, 95% CI = 1.0000-1.0060), and the protective effect of cathepsin L2 levels on myocarditis (IVW: P = 0.0030, OR = 0.6610, 95% CI = 0.5031-0.8676) and chronic heart failure (IVW: P = 0.0090, OR = 0.9259, 95% CI = 0.8737-0.9812) remained, as higher cathepsin O levels were found to be causally related to increased risks of myocarditis (IVW: P = 0.0030, OR = 1.6145, 95% CI = 1.1829-2.2034) and chronic heart failure (IVW: P = 0.0300, OR = 1.0779, 95% CI = 1.0070-1.1537). CONCLUSIONS The study highlights the causalities of cathepsin E, L2, and O on CVDs, offering insights into their roles in cardiovascular biomarkers and therapeutic targets development. Further research is required to apply these genetic findings clinically.
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Affiliation(s)
- Ruiqi Zeng
- Guangzhou Medical UniversityGuangzhou511436China
- Department of Clinical Medicine, Nanshan CollegeGuangzhou Medical UniversityGuangzhouChina
| | - Zhiyi Zhou
- Guangzhou Medical UniversityGuangzhou511436China
- Department of Clinical Medicine, Third Clinical SchoolGuangzhou Medical UniversityGuangzhouChina
| | - Wanzhe Liao
- Guangzhou Medical UniversityGuangzhou511436China
- Department of Clinical Medicine, Nanshan CollegeGuangzhou Medical UniversityGuangzhouChina
| | - Beian Guo
- Guangzhou Medical UniversityGuangzhou511436China
- Department of Clinical Medicine, Nanshan CollegeGuangzhou Medical UniversityGuangzhouChina
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Wang W, Jia W, Wang S, Wang Y, Zhang Z, Lei M, Zhai Y, Xu J, Sun J, Zhang W, Wang Y, Jiang Y, Jiang Y, Liu M, Sun Z, Liu F. Unraveling the causal relationships between depression and brain structural imaging phenotypes: A bidirectional Mendelian Randomization study. Brain Res 2024; 1840:149049. [PMID: 38825161 DOI: 10.1016/j.brainres.2024.149049] [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: 04/01/2024] [Revised: 05/11/2024] [Accepted: 05/30/2024] [Indexed: 06/04/2024]
Abstract
BACKGROUND Previous studies have revealed structural brain abnormalities in individuals with depression, but the causal relationship between depression and brain structure remains unclear. METHODS A genetic correlation analysis was conducted using summary statistics from the largest genome-wide association studies for depression (N = 674,452) and 1,265 brain structural imaging-derived phenotypes (IDPs, N = 33,224). Subsequently, a bidirectional two-sample Mendelian Randomization (MR) approach was employed to explore the causal relationships between depression and the IDPs that showed genetic correlations with depression. The main MR results were obtained using the inverse variance weighted (IVW) method, and other MR methods were further employed to ensure the reliability of the findings. RESULTS Ninety structural IDPs were identified as being genetically correlated with depression and were included in the MR analyses. The IVW MR results indicated that reductions in the volume of several brain regions, including the bilateral subcallosal cortex, right medial orbitofrontal cortex, and right middle-posterior part of the cingulate cortex, were causally linked to an increased risk of depression. Additionally, decreases in surface area of the right middle temporal visual area, right middle temporal cortex, right inferior temporal cortex, and right middle-posterior part of the cingulate cortex were causally associated with a heightened risk of depression. Validation and sensitivity analyses supported the robustness of these findings. However, no evidence was found for a causal effect of depression on structural IDPs. CONCLUSIONS Our findings reveal the causal influence of specific brain structures on depression, providing evidence to consider brain structural changes in the etiology and treatment of depression.
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Affiliation(s)
- Wenqin Wang
- School of Mathematical Sciences, Tiangong University, Tianjin 300387, China.
| | - Wenhui Jia
- School of Mathematical Sciences, Tiangong University, Tianjin 300387, China
| | - Shaoying Wang
- Department of Radiology, Tianjin Key Laboratory of Functional Imaging & Tianjin Institute of Radiology, Tianjin Medical University General Hospital, Tianjin 300052, China
| | - Ying Wang
- Department of Radiology, Tianjin Key Laboratory of Functional Imaging & Tianjin Institute of Radiology, Tianjin Medical University General Hospital, Tianjin 300052, China
| | - Zhihui Zhang
- Department of Radiology, Tianjin Key Laboratory of Functional Imaging & Tianjin Institute of Radiology, Tianjin Medical University General Hospital, Tianjin 300052, China
| | - Minghuan Lei
- Department of Radiology, Tianjin Key Laboratory of Functional Imaging & Tianjin Institute of Radiology, Tianjin Medical University General Hospital, Tianjin 300052, China
| | - Ying Zhai
- Department of Radiology, Tianjin Key Laboratory of Functional Imaging & Tianjin Institute of Radiology, Tianjin Medical University General Hospital, Tianjin 300052, China
| | - Jinglei Xu
- Department of Radiology, Tianjin Key Laboratory of Functional Imaging & Tianjin Institute of Radiology, Tianjin Medical University General Hospital, Tianjin 300052, China
| | - Jinghan Sun
- Department of Radiology, Tianjin Key Laboratory of Functional Imaging & Tianjin Institute of Radiology, Tianjin Medical University General Hospital, Tianjin 300052, China
| | - Wanwan Zhang
- Department of Radiology, Tianjin Key Laboratory of Functional Imaging & Tianjin Institute of Radiology, Tianjin Medical University General Hospital, Tianjin 300052, China
| | - Yao Wang
- Department of Radiology, Tianjin Key Laboratory of Functional Imaging & Tianjin Institute of Radiology, Tianjin Medical University General Hospital, Tianjin 300052, China
| | - Yurong Jiang
- Department of Radiology, Tianjin Key Laboratory of Functional Imaging & Tianjin Institute of Radiology, Tianjin Medical University General Hospital, Tianjin 300052, China
| | - Yifan Jiang
- School of Nursing, Tianjin Medical University, Tianjin 300070, China
| | - Mengge Liu
- Department of Radiology, Tianjin Key Laboratory of Functional Imaging & Tianjin Institute of Radiology, Tianjin Medical University General Hospital, Tianjin 300052, China.
| | - Zuhao Sun
- Department of Radiology, Tianjin Key Laboratory of Functional Imaging & Tianjin Institute of Radiology, Tianjin Medical University General Hospital, Tianjin 300052, China.
| | - Feng Liu
- Department of Radiology, Tianjin Key Laboratory of Functional Imaging & Tianjin Institute of Radiology, Tianjin Medical University General Hospital, Tianjin 300052, China.
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Luo X, Ruan Z, Liu L. Causal relationship between metabolic syndrome and hidradenitis suppurativa: A two-sample bidirectional Mendelian randomization study. J Dermatol 2024; 51:1335-1349. [PMID: 38874446 DOI: 10.1111/1346-8138.17328] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2024] [Revised: 04/13/2024] [Accepted: 05/26/2024] [Indexed: 06/15/2024]
Abstract
Observational studies have suggested an association between metabolic syndrome (MetS) and hidradenitis suppurativa (HS), but whether this relationship is causal remains unclear. Elucidating the causal direction could provide insights into disease mechanisms and potential interventions. We performed bidirectional two-sample Mendelian randomization (MR) using summary statistics from genome-wide association studies (GWAS) of MetS and HS. For validation, we replicated the MetS analysis using data from an independent GWAS. We applied multiple MR methods, primarily inverse variance-weighted (IVW) regression, and conducted sensitivity analyses to assess heterogeneity and pleiotropy. The MR analysis demonstrated MetS causally increased HS risk (IVW odds ratio [OR], 1.428 [95% CI, 1.193-1.710]; p < 0.001), with consistent evidence from sensitivity analyses. However, HS did not appear to causally influence MetS risk (IVW OR, 1.008 [95% CI, 0.988-1.028]; p = 0.438). This study provides evidence that MetS causally increases the risk of developing HS. However, we found no evidence for a causal relationship in the reverse direction from HS to MetS. Further research is warranted to elucidate the mechanisms underlying the identified causal association between MetS and subsequent HS development.
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Affiliation(s)
- Xinxin Luo
- Department of Pharmacy, Jiangxi Provincial People's Hospital & The First Affiliated Hospital of Nanchang Medical College, Nanchang, China
| | - Zhichao Ruan
- First School of Clinical Medicine, Beijing University of Chinese Medicine, Beijing, China
| | - Ling Liu
- Department of Pharmacy, Jiangxi Provincial People's Hospital & The First Affiliated Hospital of Nanchang Medical College, Nanchang, China
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Zeng Y, Cao S, Yuan Y. Menopausal age does not affect ventricular structure and function: a Mendelian randomization study. Climacteric 2024; 27:501-506. [PMID: 39051435 DOI: 10.1080/13697137.2024.2380009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2024] [Revised: 05/15/2024] [Accepted: 07/03/2024] [Indexed: 07/27/2024]
Abstract
OBJECTIVES Observational studies have suggested an association between age at natural menopause (ANM) and ventricular structure and function. Nevertheless, the causal relationship remains unclear. This study aimed to evaluate the causal effects of ANM on ventricular structure and function by Mendelian randomization (MR) analysis. METHODS Genome-wide association summary statistics for ANM and 16 ventricular structures and functions were obtained. The inverse variance weighted (IVW) method was the primary MR approach for assessing causal associations. In addition, three additional MR methods (MR-Egger, weighted median and weighted mode) were performed to complement the IVW method. Furthermore, various sensitivity tests were conducted to evaluate the reliability of the MR results. RESULTS The IVW method identified no causal association between ANM and all 16 ventricular structures or functions (p > 0.05). Three additional MR methods yielded parallel results to the IVW approach (p > 0.05). Various sensitivity tests revealed stability of the MR results, indicating no heterogeneity or horizontal pleiotropy. CONCLUSION The present MR study indicated that ANM would not causally affect ventricular structure or function. Therefore, the correlation between ANM and ventricular characteristics in previous observational studies might be attributed to shared upstream cardiovascular risk factors or unidentified genetic mutations that simultaneously affect both ANM and ventricular structure and function.
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Affiliation(s)
- Youjie Zeng
- Department of Anesthesiology, Third Xiangya Hospital, Central South University, Changsha, China
| | - Si Cao
- Clinical Research Center for Reproduction and Genetics in Hunan Province, Reproductive and Genetic Hospital of CITIC-XIANGYA, Changsha, China
| | - Yuan Yuan
- Department of Pathology, Third Xiangya Hospital, Central South University, Changsha, China
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Cao S, Su H, Zhang X, Fang C, Wu N, Zeng Y, Chen M. Mendelian Randomization Study Supports Genetic Liability to Obsessive-Compulsive Disorder Associated With the Risk of Alzheimer's Disease. Brain Behav 2024; 14:e70081. [PMID: 39344387 PMCID: PMC11440019 DOI: 10.1002/brb3.70081] [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: 07/01/2024] [Revised: 09/03/2024] [Accepted: 09/07/2024] [Indexed: 10/01/2024] Open
Abstract
BACKGROUND Observational studies have suggested that obsessive-compulsive disorder (OCD) may be associated with Alzheimer's disease (AD). However, whether OCD is a causal risk factor for AD remains unclear. This study aimed to assess the causal effect of OCD on AD risk by performing a two-sample Mendelian randomization (MR) analysis. METHODS Genome-wide association summary statistics were obtained for OCD, comprising 2688 cases and 7037 controls, as well as for AD, including 21,982 cases and 41,944 controls from Kunkle et al.'s study, and 39,918 cases and 358,140 controls from Wightman et al.'s study. On the basis of two diverse thresholds, OCD-associated genetic variants were screened as instrumental variables (IVs) for subsequent MR analyses. Inverse variance weighed was the primary MR method. MR-Egger, weighted median, and weighted mode were used as supplementary MR methods. Various sensitivity tests assessed the reliability of MR results. RESULTS On the basis of strict IV selecting thresholds, inverse-variance weighted (IVW) identified significant causal associations between genetic liability to OCD and increased risk of AD in two different sources ((i) Kunkle et al.: odds ratio [OR] = 1.070, 95% confidence interval [CI]: 1.015-1.127, p = 0.012; (ii) Wightman et al. 0.012; (iii) Wightman et al.: OR = 1.051, 95% CI: 1.014-1.090, p = 0.007). Three other supplementary MR methods yielded similar results to IVWs (OR > 1). Furthermore, all results were replicated in MR analyses based on lenient IV selecting thresholds. The sensitivity tests indicated that MR results were stable and not affected by significant horizontal pleiotropy. CONCLUSIONS This comprehensive MR study suggests that genetic liability to OCD is a causal risk factor for AD. Early intervention in patients with OCD may be beneficial in preventing future AD progression.
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Affiliation(s)
- Si Cao
- Department of Anesthesiology, Third Xiangya HospitalCentral South UniversityChangshaHunanChina
| | - Han Su
- Department of Anesthesiology, Third Xiangya HospitalCentral South UniversityChangshaHunanChina
| | - Xiaoyi Zhang
- Department of Medicine, Jacobi Medical CenterAlbert Einstein College of MedicineBronxNew YorkUSA
| | - Chao Fang
- The Affiliated Cancer Hospital of Xiangya School of MedicineCentral South University/Hunan Cancer HospitalChangshaHunanChina
| | - Nayiyuan Wu
- The Affiliated Cancer Hospital of Xiangya School of MedicineCentral South University/Hunan Cancer HospitalChangshaHunanChina
| | - Youjie Zeng
- Department of Anesthesiology, Third Xiangya HospitalCentral South UniversityChangshaHunanChina
| | - Minghua Chen
- Department of Anesthesiology, Third Xiangya HospitalCentral South UniversityChangshaHunanChina
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You Z, Chen S, Tang J. Neuroticism and posttraumatic stress disorder: A Mendelian randomization analysis. Brain Behav 2024; 14:e70041. [PMID: 39344274 PMCID: PMC11440025 DOI: 10.1002/brb3.70041] [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: 01/24/2024] [Revised: 05/17/2024] [Accepted: 07/24/2024] [Indexed: 10/01/2024] Open
Abstract
OBJECTIVE Epidemiological studies revealed an unestablished association between neuroticism and posttraumatic stress disorder (PTSD) and we conducted mendelian randomization (MR) analyses to examine whether neuroticism clusters of worry, depressed affect, and sensitivity to environmental stress and adversity (SESA) were involved in the development of PTSD. METHOD We obtained data on three neuroticism clusters, PTSD, and nine other psychiatric disorders from genome-wide association studies summary statistics and employed univariable, multivariable, and mediation MR analyses to explore causal associations among them. RESULTS Neuroticism clusters were linked with PTSD (depressed affect (odds ratio [OR]: 2.94 [95% confidence interval: 2.21-3.92]); SESA (2.69 [1.95-3.71]; worry (1.81 [1.37-2.99])). Neuroticism clusters were also associated with psychiatric disorders, with the depressed effect on panic disorder (PD) (2.60 [1.14-5.91]), SESA on anorexia nervosa (AN) (2.77 [1.95-3.94]) and schizophrenia (2.55 [1.99-3.25]), worry on major depressive disorder (MDD) (2.58 [2.19-3.05]). In multivariable MR, only the SESA-PTSD association remained (2.60 [2.096, 3.107]) while worry-PTSD and depressed affect-PTSD associations attenuated to nonsignificance. Mediation MR analyses suggested that PD mediated 3.76% of the effect of depressed effect on PTSD and AN mediated 10.33% of the effect of SESA on PTSD. CONCLUSION Delving deeper into neuroticism clusters, we comprehensively understand the role of neuroticism in PTSD.
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Affiliation(s)
- Zifan You
- Department of Psychiatry, Sir Run Run Shaw HospitalZhejiang University School of MedicineHangzhouZhejiangChina
| | - Shanshan Chen
- Department of Psychiatry, Sir Run Run Shaw HospitalZhejiang University School of MedicineHangzhouZhejiangChina
| | - Jinsong Tang
- Department of Psychiatry, Sir Run Run Shaw HospitalZhejiang University School of MedicineHangzhouZhejiangChina
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Huang Y, Wang S, Huang J, Shen Y, Zou L, Liu H. Investigating the Causal Relationship Between Gut Microbiota and Allergic Conjunctivitis: A Two-Sample Mendelian Randomization Study. Ocul Immunol Inflamm 2024:1-10. [PMID: 39353056 DOI: 10.1080/09273948.2024.2388202] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2023] [Revised: 07/28/2024] [Accepted: 07/30/2024] [Indexed: 10/04/2024]
Abstract
PURPOSE To investigate the causal association between gut microbiota and allergic conjunctivitis. METHODS A two-sample Mendelian randomization (MR) analysis was performed using the summary statistics of gut microbiota (18,340) from MiBio-Gen consortium and allergic conjunctivitis data (n = 218,792) obtained from the IEU Open GWAS project. F-statistics and sensitivity analyses were used to address potential biases and ensure the reliability of our findings. Reverse MR analysis was conducted to assess the possible of reverse causal relationships. RESULTS The inverse variance weighted estimates revealed the protective potential of the phylum Euryarchaeota against allergic conjunctivitis (OR = 0.87, p = 6.17 × 10-4). On the other hand, the genus Christensenellaceae R.7 group (OR = 0.75, p = 2.89 × 10-3), family Peptostreptococcaceae (OR = 0.83, p = 6.22 × 10-3), genus Lachnospiraceae FCS020 group (OR = 0.82, p = 0.02) all showed a suggestive protective association with allergic conjunctivitis. Additionally, sensitivity analysis confirmed the robustness of the above associations. In the reverse MR analysis, no significant causal association was found between gut microbiota and allergic conjunctivitis. CONCLUSION This study has revealed a potential causal correlation between the phylum Euryarchaeota and allergic conjunctivitis, offering new insights to improve prevention and treatment of this condition.
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Affiliation(s)
- Yuanyang Huang
- Department of Ophthalmology, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Shu Wang
- Department of Ophthalmology, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jinfang Huang
- Department of Ophthalmology, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yining Shen
- Department of Ophthalmology, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Leilei Zou
- Department of Ophthalmology, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Hong Liu
- Department of Ophthalmology, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
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Yun Z, Liu Z, Shen Y, Sun Z, Zhao H, Du X, Lv L, Zhang Y, Hou L. Genetic analysis from multiple cohorts implies causality between 2200 druggable genes, telomere length, and leukemia. Comput Biol Med 2024; 181:109064. [PMID: 39216403 DOI: 10.1016/j.compbiomed.2024.109064] [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: 04/22/2024] [Revised: 08/14/2024] [Accepted: 08/20/2024] [Indexed: 09/04/2024]
Abstract
BACKGROUND Clinical therapeutic targets for leukemia remain to be identified and the causality between leukemia and telomere length is unclear. METHODS This work employed cis expression quantitative trait locus (eQTL) for 2,200 druggable genes from the eQTLGen Consortium and genome-wide association studies (GWAS) summary data for telomere length in seven blood cell types from the UK Biobank, Netherlands Cohort as exposures. GWAS data for lymphoid leukemia (LL) and myeloid leukemia (ML) from FinnGen and Lee Lab were used as outcomes for discovery and replication cohorts, respectively. Robust Mendelian randomization (MR) findings were generated from seven MR models and a series of sensitivity analyses. Summary-data-based MR (SMR) analysis and transcriptome-wide association studies (TWAS) were further implemented to verify the association between identified druggable genes and leukemia. Single-cell type expression analysis was employed to identify the specific expression of leukemia casual genes on human bone marrow and peripheral blood immune cells. Multivariable MR analysis, linkage disequilibrium score regression (LDSC), and Bayesian colocalization analysis were performed to further validate the relationship between telomere length and leukemia. Mediation analysis was used to assess the effects of identified druggable genes affecting leukemia via telomere length. Phenome-wide MR (Phe-MR) analysis for assessing the effect of leukemia causal genes and telomere length on 1,403 disease phenotypes. RESULTS Combining the results of the meta-analysis for MR estimates from two cohorts, SMR and TWAS analysis, we identified five LL causal genes (TYMP, DSTYK, PPIF, GDF15, FAM20A) and three ML causal genes (LY75, ADA, ABCA2) as promising drug targets for leukemia. Univariable MR analysis showed genetically predicted higher leukocyte telomere length increased the risk of LL (odds ratio [OR] = 2.33, 95 % confidence interval [95 % CI] 1.70-3.18; P = 1.33E-07), and there was no heterogeneity and horizontal pleiotropy. Evidence from the meta-analysis of two cohorts strengthened this finding (OR = 1.88, 95 % CI 1.06-3.05; P = 0.01). Multivariable MR analysis showed the causality between leukocyte telomere length and LL without interference from the other six blood cell telomere length (OR = 2.72, 95 % CI 1.88-3.93; P = 1.23E-07). Evidence from LDSC supported the positive genetic correlation between leukocyte telomere length and LL (rg = 0.309, P = 0.0001). Colocalization analysis revealed that the causality from leukocyte telomere length on LL was driven by the genetic variant rs770526 in the TERT region. The mediation analysis via two-step MR showed that the causal effect from TYMP on LL was partly mediated by leukocyte telomere length, with a mediated proportion of 12 %. CONCLUSION Our study identified several druggable genes associated with leukemia risk and provided new insights into the etiology and drug development of leukemia. We also found that genetically predicted higher leukocyte telomere length increased LL risk and its potential mechanism of action.
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Affiliation(s)
- Zhangjun Yun
- Department of Oncology and Hematology, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, 100700, China; Graduate School of Beijing University of Chinese Medicine, Beijing, 100700, China
| | - Zhu Liu
- Department of Oncology and Hematology, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, 100700, China; Graduate School of Beijing University of Chinese Medicine, Beijing, 100700, China
| | - Yang Shen
- Department of Oncology and Hematology, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, 100700, China
| | - Ziyi Sun
- Graduate School of Beijing University of Chinese Medicine, Beijing, 100700, China
| | - Hongbin Zhao
- Department of Oncology and Hematology, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, 100700, China; Graduate School of Beijing University of Chinese Medicine, Beijing, 100700, China
| | - Xiaofeng Du
- Department of Oncology and Hematology, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, 100700, China; Graduate School of Beijing University of Chinese Medicine, Beijing, 100700, China
| | - Liyuan Lv
- Department of Oncology and Hematology, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, 100700, China.
| | - Yayue Zhang
- Department of Oncology and Hematology, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, 100700, China.
| | - Li Hou
- Department of Oncology and Hematology, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, 100700, China.
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Wu Y, Yu W, Gu Y, Xia J, Sun G. Height and cancer risk in East Asians: Evidence from a prospective cohort study and Mendelian randomization analyses. Cancer Epidemiol 2024; 92:102647. [PMID: 39142240 DOI: 10.1016/j.canep.2024.102647] [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: 08/07/2024] [Accepted: 08/09/2024] [Indexed: 08/16/2024]
Abstract
BACKGROUND Height is associated with increased cancer risk, but most studies focus on Western populations. We aimed to evaluate this relationship in East Asians. METHOD Observational analyses were performed utilizing data from China Kadoorie Biobank (CKB) prospective cohort. Adjusted hazard ratios (HRs) and corresponding 95 % confidence intervals (CIs) were estimated using Cox proportional hazards models. Two-sample Mendelian randomization (MR) analyses explored causal effects between height and cancer using data from Korean Genome and Epidemiology Study (KoGES), Biobank Japan (BBJ), and CKB. RESULTS Over a median 10.1-years follow-up, 22,731 incident cancers occurred. In observational analyses, after Bonferroni correction, each 10 cm increase in height was significantly associated with higher risk of overall cancer (HR 1.16, 95 % CI 1.14-1.19, P < 0.001), lung cancer (1.18, 95 % CI 1.12-1.24, P < 0.001), esophageal cancer (1.21, 95 % CI 1.12-1.30, P < 0.001), breast cancer (1.41, 95 % CI 1.31-1.53, P < 0.001), and cervix uteri cancer (1.29, 95 % CI 1.15-1.45, P < 0.001). Each 10 cm increase in height was suggestively associated with increased risk for lymphoma (1.18, 95 % CI 1.04-1.34, P = 0.010), colorectal cancer (1.09, 95 % CI 1.02-1.16, P = 0.010), and stomach cancer (1.07, 95 % CI 1.00-1.14, P = 0.044). In MR analyses, genetically predicted height (per 1 standard deviation increase, 8.07 cm) was suggestively associated with higher risk of lung cancer (odds ratio [OR] 1.17, 95 % confidence interval [CI] 1.02-1.35, P = 0.0244) and gastric cancer (OR 1.14, 95 % CI 1.02-1.29, P = 0.0233). CONCLUSIONS Taller height was significantly related to a higher risk for overall cancer, lung cancer, esophageal cancer, breast cancer, and cervix uteri cancer. Our findings suggest that height may be a potential causal risk factor for lung and gastric cancers among East Asians.
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Affiliation(s)
- Yougen Wu
- National Institute of Clinical Research, Fifth People's Hospital of Shanghai, Fudan University, Shanghai, China.
| | - Weimin Yu
- Department of Pharmacy, Fifth People's Hospital of Shanghai, Fudan University, Shanghai, China
| | - Yuting Gu
- National Institute of Clinical Research, Fifth People's Hospital of Shanghai, Fudan University, Shanghai, China
| | - Ju Xia
- National Institute of Clinical Research, Fifth People's Hospital of Shanghai, Fudan University, Shanghai, China
| | - Guangchun Sun
- National Institute of Clinical Research, Fifth People's Hospital of Shanghai, Fudan University, Shanghai, China; Department of Pharmacy, Fifth People's Hospital of Shanghai, Fudan University, Shanghai, China.
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44
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Li F, Tang M, Hao C, Yang M, Pan Y, Lei P. Brain imaging traits and epilepsy: Unraveling causal links via mendelian randomization. Brain Behav 2024; 14:e70051. [PMID: 39350628 PMCID: PMC11442987 DOI: 10.1002/brb3.70051] [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: 06/03/2024] [Revised: 08/06/2024] [Accepted: 08/25/2024] [Indexed: 10/04/2024] Open
Abstract
BACKGROUND Epilepsy, a complex neurological disorder, is closely linked with structural and functional irregularities in the brain. However, the causal relationship between brain imaging-derived phenotypes (IDPs) and epilepsy remains unclear. This study aimed to investigate this relationship by employing a two-sample bidirectional Mendelian randomization (MR) approach. METHODS The analysis involved 3935 cerebral IDPs from the UK Biobank and all documented cases of epilepsy (all epilepsies) cohorts from the International League Against Epilepsy, with further validation through replication and meta-analyses using epilepsy Genome-Wide Association Studies datasets from the FinnGen database. Additionally, a multivariate MR analysis framework was utilized to assess the direct impact of IDPs on all epilepsies. Furthermore, we performed a bidirectional MR analysis to investigate the relationship between the IDPs identified in all epilepsies and the 15 specific subtypes of epilepsy. RESULTS The study identified significant causal links between four IDPs and epilepsy risk. Decreased fractional anisotropy in the left inferior longitudinal fasciculus was associated with a higher risk of epilepsy (odds ratio [OR]: 0.89, p = 3.31×10-5). Conversely, increased mean L1 in the left posterior thalamic radiation (PTR) was independently associated with a heightened epilepsy risk (OR: 1.14, p = 4.72×10-5). Elevated L3 in the left cingulate gyrus was also linked to an increased risk (OR: 1.09, p = .03), while decreased intracellular volume fraction in the corpus callosum was correlated with higher epilepsy risk (OR: 0.94, p = 1.15×10-4). Subtype analysis revealed that three of these IDPs are primarily associated with focal epilepsy (FE). Notably, increased L1 in the left PTR was linked to an elevated risk of hippocampal sclerosis (HS) and lesion-negative FE, whereas elevated L3 in the left cingulate gyrus was associated with HS-related FE. CONCLUSIONS Our research offers genetic evidence for a causal link between brain IDPs and epilepsy. These results enhance our understanding of the structural brain changes associated with the onset and progression of epilepsy.
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Affiliation(s)
- Fangyan Li
- Department of RadiologyAffiliated Hospital of Guizhou Medical UniversityGuiyangGuizhouChina
| | - Maowen Tang
- Department of RadiologyAffiliated Hospital of Guizhou Medical UniversityGuiyangGuizhouChina
| | - Cheng Hao
- Department of RadiologyAffiliated Hospital of Guizhou Medical UniversityGuiyangGuizhouChina
| | - Menghua Yang
- Department of RadiologyAffiliated Hospital of Guizhou Medical UniversityGuiyangGuizhouChina
| | - Yue Pan
- Department of RadiologyAffiliated Hospital of Guizhou Medical UniversityGuiyangGuizhouChina
| | - Pinggui Lei
- Department of RadiologyAffiliated Hospital of Guizhou Medical UniversityGuiyangGuizhouChina
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45
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Yu K, Li Z, Shi W, Yang S, Zhao Z, Yang L. Genetic influence of meningioma on cisplatin resistance: a Mendelian randomization analysis. Int J Clin Pharm 2024; 46:1225-1231. [PMID: 38902470 DOI: 10.1007/s11096-024-01762-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2024] [Accepted: 05/25/2024] [Indexed: 06/22/2024]
Abstract
BACKGROUND Although various aspects of cisplatin resistance have been studied, the impact of genetic variations still needs to be explored. AIM This study aimed to investigate the impact of cisplatin on meningiomas using a two-sample Mendelian randomization (MR) approach, employing genetic variants associated with cisplatin use as instrumental variables. METHOD We conducted a two-sample MR analysis using genome-wide association study (GWAS) data. Instrumental variables were derived from single-nucleotide polymorphisms (SNPs) associated with meningioma to estimate the causal relationship with cisplatin resistance. Sensitivity analyses were performed to confirm the findings. RESULTS Genetic predisposition to meningioma significantly increased the risk of cisplatin resistance (odds ratio (OR): 1.63; 95% confidence interval (CI) 1.44-1.85, P < 0.05). Sensitivity analyses supported the causal link. CONCLUSION This MR study suggests that genetic predisposition to meningioma increases susceptibility to cisplatin resistance. Further research is needed to uncover the mechanisms behind these causal effects.
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Affiliation(s)
- Kefu Yu
- Department of Pharmacy, Beijing Tiantan Hospital Affiliated to Capital Medical University, No. 119 South Fourth Ring West Road, Fengtai District, Beijing, 100070, People's Republic of China
| | - Ziming Li
- School of Pharmaceutical Sciences, Capital Medical University, Beijing, People's Republic of China
| | - Weizhong Shi
- Department of Pharmacy, Beijing Tiantan Hospital Affiliated to Capital Medical University, No. 119 South Fourth Ring West Road, Fengtai District, Beijing, 100070, People's Republic of China
| | - Shuxian Yang
- Department of Pharmacy, Beijing Tiantan Hospital Affiliated to Capital Medical University, No. 119 South Fourth Ring West Road, Fengtai District, Beijing, 100070, People's Republic of China
| | - Zhigang Zhao
- Department of Pharmacy, Beijing Tiantan Hospital Affiliated to Capital Medical University, No. 119 South Fourth Ring West Road, Fengtai District, Beijing, 100070, People's Republic of China
| | - Li Yang
- Department of Pharmacy, Beijing Tiantan Hospital Affiliated to Capital Medical University, No. 119 South Fourth Ring West Road, Fengtai District, Beijing, 100070, People's Republic of China.
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46
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Yu K, Li Z, Shi W, Zhao Z, Yang L. Causal impact of statins on susceptibility to osteoarthritis: insights from a two-sample Mendelian randomization analysis. Int J Clin Pharm 2024; 46:1208-1214. [PMID: 38990459 DOI: 10.1007/s11096-024-01754-6] [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: 03/21/2024] [Accepted: 05/12/2024] [Indexed: 07/12/2024]
Abstract
BACKGROUND Osteoarthritis is a widely prevalent cause of pain and disability among older adults. It is an incurable condition, and most treatments are aimed at alleviating symptoms. AIM This study aimed to investigate the impact of statins on osteoarthritis by using a two-sample Mendelian randomization approach, using genetic variants associated with statin use as instrumental variables. METHOD Information on single nucleotide polymorphisms associated with statin medication was obtained from the FinnGen study, and data on osteoarthritis were sourced from the UK Biobank. The inverse variance weighted method was used as the primary analytical approach for the Mendelian randomization analysis. Sensitivity analyses were conducted to evaluate horizontal pleiotropy and heterogeneity. To examine the genetic relationship between statins and osteoarthritis, linkage disequilibrium score regression-based estimates were used. RESULTS Mendelian randomization analysis indicated a positive effect of statin use on the treatment of osteoarthritis (odds ratio 0.951, 95% confidence interval 0.914-0.99, p < 0.05). This conclusion was supported by various Mendelian randomization methods. Sensitivity analyses revealed no significant directional pleiotropy or influential single nucleotide polymorphisms that could compromise the overall causal inference. Linkage disequilibrium score regression-based estimates suggested a modest genetic correlation between statin use and osteoarthritis (Rg = 0.098, Se = 0.034, p < 0.05), thus reinforcing the robustness of the Mendelian randomization analysis. CONCLUSION Statins reduce the risk of osteoarthritis, aligning with the results of observational studies. Further research is essential to validate these results and explore the underlying mechanisms in detail.
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Affiliation(s)
- Kefu Yu
- Department of Pharmacy, Beijing Tiantan Hospital, Capital Medical University, No.119 South Fourth Ring West Road, Fengtai District, Beijing, 100070, People's Republic of China
| | - Ziming Li
- School of Pharmaceutical Sciences, Capital Medical University, Beijing, People's Republic of China
| | - Weizhong Shi
- Department of Pharmacy, Beijing Tiantan Hospital, Capital Medical University, No.119 South Fourth Ring West Road, Fengtai District, Beijing, 100070, People's Republic of China
| | - Zhigang Zhao
- Department of Pharmacy, Beijing Tiantan Hospital, Capital Medical University, No.119 South Fourth Ring West Road, Fengtai District, Beijing, 100070, People's Republic of China
| | - Li Yang
- Department of Pharmacy, Beijing Tiantan Hospital, Capital Medical University, No.119 South Fourth Ring West Road, Fengtai District, Beijing, 100070, People's Republic of China.
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47
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Jiang H, Zhang K, Zhang X. Mendelian randomization analysis of the association between childhood overweight or obesity and gestational diabetes mellitus. Diabetes Obes Metab 2024. [PMID: 39344835 DOI: 10.1111/dom.15975] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/29/2024] [Revised: 08/29/2024] [Accepted: 09/05/2024] [Indexed: 10/01/2024]
Abstract
OBJECTIVE To investigate the association between childhood overweight or obesity and gestational diabetes mellitus (GDM). METHODS Data were sourced from the Genome-Wide Association Studies database on childhood body mass index (BMI), with 39 620 samples and 8 173 382 single-nucleotide polymorphisms (SNPs), and GDM, with 143 441 samples, including 12 332 GDM cases and 20 149 608 SNPs. Mendelian randomization (MR) was conducted, including inverse variance weighting (IVW), MR-Egger regression, and the weighted median method. Statistical heterogeneity among SNPs was assessed using Cochran's Q test. MR-Egger's intercept, the MR-Pleiotropy RESidual Sum and Outlier (PRESSO) test, and funnel plots were used to evaluate pleiotropy. The leave-one-out method tested the robustness of the IVW results by excluding individual SNPs. RESULTS Fifteen SNPs highly related to childhood BMI were identified. IVW analysis indicated that higher childhood BMI is a significant risk factor for GDM (odds ratio 1.50 [95% confidence interval 1.20-1.87]; p < 0.001). The direction of the β value derived from the weighted median method analysis was consistent with that from the IVW analysis. Cochran's Q test showed statistical heterogeneity among SNPs highly related to childhood BMI (p = 0.001), thus prioritizing IVW analysis results. The MR-Egger regression intercept, MR-PRESSO test, and funnel plot analyses demonstrated no horizontal pleiotropy among SNPs highly related to childhood BMI. The leave-one-out analysis indicated that the MR analysis results were largely unchanged after the exclusion of individual SNPs. CONCLUSION Elevated childhood BMI is associated with an increased risk of developing GDM, underscoring the need to address childhood obesity as a preventive strategy. Effective interventions to reduce childhood obesity could be crucial in mitigating this risk.
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Affiliation(s)
- Huaiyan Jiang
- School of Microelectronics, Tianjin University, Tianjin City, China
| | - Kun Zhang
- Department of Pediatrics, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai City, China
| | - Xi Zhang
- Department of Gynecology and Obstetrics, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai City, China
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48
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Zhang L, Hu C, Lin X, Lin H, Wu W, Cai J, Sun H, Wei X. Relationship between serum vitamin D levels and thyroid- and parathyroid-related diseases: a Mendelian randomisation study. Br J Nutr 2024:1-11. [PMID: 39344000 DOI: 10.1017/s0007114524001843] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/01/2024]
Abstract
Previous studies have indicated an association between vitamin D and thyroid- and parathyroid-related diseases. However, it remains unclear whether it is a cause of the disease, a side effect of treatment or a consequence of the disease. The Mendelian randomisation (MR) study strengthens the causal inference by controlling for non-heritable environmental confounders and reverse causation. In this study, a two-sample bidirectional MR analysis was conducted to investigate the causal relationship between serum vitamin D levels and thyroid- and parathyroid-related diseases. Inverse variance weighted, weighted median and MR-Egger methods were performed, the Cochran Q test was used to evaluate the heterogeneity and the MR-PRESSO and MR-Egger intercepts were utilised to assess the possibility of pleiotropy. The Bonferroni-corrected significance threshold was 0·0038. At the Bonferroni-corrected significance level, we found that vitamin D levels suggestively decreased the risk of benign parathyroid adenoma (OR = 0·244; 95 % CI 0·074, 0·802; P = 0·0202) in the MR analyses. In the reverse MR study, a genetically predicted risk of thyroid cancer suggestively increased the risk of elevated vitamin D (OR = 1·007; 95 % CI 1·010, 1·013; P = 0·0284), chronic thyroiditis significantly increased the risk of elevated vitamin D (OR = 1·007; 95 % CI 1·002, 1·011; P = 0·0030) and thyroid nodules was significantly decreased the vitamin D levels (OR = 0·991; 95 % CI 0·985, 0·997; P = 0·0034). The findings might be less susceptible to horizontal pleiotropy and heterogeneity (P > 0·05). This study from a gene perspective indicated that chronic thyroiditis and thyroid nodules may impact vitamin D levels, but the underlying mechanisms require further investigation.
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Affiliation(s)
- Lirong Zhang
- School of Pharmacy, Fujian Medical University; Department of Pharmacy, Shengli Clinical Medical College of Fujian Medical University, Fujian Provincial Hospital, Fuzhou, China
| | - Congting Hu
- School of Pharmacy, Fujian Medical University; Department of Pharmacy, Shengli Clinical Medical College of Fujian Medical University, Fujian Provincial Hospital, Fuzhou, China
| | - Xinmiao Lin
- School of Pharmacy, Fujian Medical University; Department of Pharmacy, Shengli Clinical Medical College of Fujian Medical University, Fujian Provincial Hospital, Fuzhou, China
| | - Huiting Lin
- School of Pharmacy, Fujian Medical University; Department of Pharmacy, Shengli Clinical Medical College of Fujian Medical University, Fujian Provincial Hospital, Fuzhou, China
| | - Wenhua Wu
- School of Pharmacy, Fujian Medical University; Department of Pharmacy, Shengli Clinical Medical College of Fujian Medical University, Fujian Provincial Hospital, Fuzhou, China
| | - Jiaqin Cai
- Department of Pharmacy, Fujian Provincial Hospital, Shengli Clinical Medical College of Fujian Medical University, Fuzhou University Affiliated Provincial Hospital, Fuzhou, China
| | - Hong Sun
- Department of Pharmacy, Fujian Provincial Hospital, Shengli Clinical Medical College of Fujian Medical University, Fuzhou University Affiliated Provincial Hospital, Fuzhou, China
| | - Xiaoxia Wei
- Department of Pharmacy, Fujian Provincial Hospital, Shengli Clinical Medical College of Fujian Medical University, Fuzhou University Affiliated Provincial Hospital, Fuzhou, China
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49
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Chen L, He Y, Wang Y, Liu S, Li Q, Chen J, Peng Z, Zhang Q, Zeng C, Li N, Zeng Y, Xiong Y, Li W, Zhou H. Association of Angina, Myocardial Infarction and Atrial Fibrillation-A Bidirectional Mendelian Randomization Study. Br J Hosp Med (Lond) 2024; 85:1-13. [PMID: 39347663 DOI: 10.12968/hmed.2024.0137] [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] [Indexed: 10/01/2024]
Abstract
Aims/Background Coronary heart disease (CHD) and atrial fibrillation (AF) exhibit a close relationship, yet the existing body of research predominantly relies on observational study methodologies, posing challenges in establishing causal relationships. The objective of our study is to investigate the causal linkages between coronary atherosclerosis (CAAs), angina pectoris, myocardial infarction (MI), and AF. Methods This study utilizes a two-sample Mendelian randomization (TSMR) methodology, leveraging genetic variation as a means of evaluating causality. Mendelian randomization is grounded in three primary assumptions: (1) the genetic variant is linked to the exposure, (2) the genetic variant is independent of confounding factors, and (3) the genetic variant influences the outcome solely through the exposure. Results The results of our study suggest a genetic predisposition in which CAAs, angina, and MI may enhance susceptibility to AF, while AF may reciprocally elevate the risk of CAAs. Conclusion In light of these findings, it is recommended that patients with CHD undergo regular cardiac rhythm monitoring, and that patients with AF receive anticoagulant and antiplatelet therapy whenever feasible. This study posits a practical implication for clinical practice.
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Affiliation(s)
- Lu Chen
- Department of Cardiology, The Affiliated Hospital of Guizhou Medical University, Guiyang, Guizhou, China
- Department of Good Clinical Practice, The Affiliated Hospital of Guizhou Medical University, Guiyang, Guizhou, China
| | - Yan He
- Department of Good Clinical Practice, The Affiliated Hospital of Guizhou Medical University, Guiyang, Guizhou, China
| | - Ying Wang
- Department of Good Clinical Practice, The Affiliated Hospital of Guizhou Medical University, Guiyang, Guizhou, China
| | - Shijing Liu
- Department of Good Clinical Practice, The Affiliated Hospital of Guizhou Medical University, Guiyang, Guizhou, China
| | - Qing Li
- Department of Good Clinical Practice, The Affiliated Hospital of Guizhou Medical University, Guiyang, Guizhou, China
| | - Jiyu Chen
- Department of Good Clinical Practice, The Affiliated Hospital of Guizhou Medical University, Guiyang, Guizhou, China
| | - Zhiyun Peng
- Department of Good Clinical Practice, The Affiliated Hospital of Guizhou Medical University, Guiyang, Guizhou, China
| | - Qian Zhang
- Department of Good Clinical Practice, The Affiliated Hospital of Guizhou Medical University, Guiyang, Guizhou, China
| | - Chen Zeng
- Department of Good Clinical Practice, The Affiliated Hospital of Guizhou Medical University, Guiyang, Guizhou, China
| | - Na Li
- Department of Good Clinical Practice, The Affiliated Hospital of Guizhou Medical University, Guiyang, Guizhou, China
| | - Yan Zeng
- Department of Good Clinical Practice, The Affiliated Hospital of Guizhou Medical University, Guiyang, Guizhou, China
| | - Yun Xiong
- Department of Good Clinical Practice, The Affiliated Hospital of Guizhou Medical University, Guiyang, Guizhou, China
| | - Wei Li
- Department of Cardiology, The Affiliated Hospital of Guizhou Medical University, Guiyang, Guizhou, China
| | - Haiyan Zhou
- Department of Cardiology, The Affiliated Hospital of Guizhou Medical University, Guiyang, Guizhou, China
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50
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Lv Z, Lin M, Zhang J, Sun K, Lin Z, Yin F, Huang J, Ye Y. Unraveling the genetic association between knee osteoarthritis and hallux deformities. J Orthop Surg Res 2024; 19:608. [PMID: 39342306 PMCID: PMC11437782 DOI: 10.1186/s13018-024-05107-x] [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: 07/05/2024] [Accepted: 09/23/2024] [Indexed: 10/01/2024] Open
Abstract
OBJECTIVE Knee osteoarthritis (KOA), hallux valgus (HV) and hallux rigidus (HR) are common musculoskeletal problems of the lower extremities. However, their underlying causal relationships are unclear. This study attempts to clarify the cause-and-effect relationship between KOA and the two common hallux deformities (HV and HR). DESIGN The summary-level statistics for KOA, HV, and HR were collected from genome-wide association studies (GWAS). The causal analysis of KOA on HV or HR was carried out using two-sample Mendelian randomization (MR). In order to assess the robustness of the MR results, sensitivity analyses were performed. In addition, multivariable MR (MVMR) was implemented to assess the influence of KOA in causation as well as calibrate the effect of anthropometric characteristics. Supplementary backward MR analysis was conducted to determine the causal effect of hallux diseases on KOA. RESULTS The univariable analysis indicated that KOA has a causative influence on HR (odds ratio [OR] = 1.29, 95% confidence interval [CI] = 1.18-1.41, P = 2.25E-8) and HV (OR = 1.43, 95% CI = 1.21-1.68, P = 2.76E-5). In the backward MR analyses, hallux deformities did not appear to be the cause of KOA. In the MVMR analysis, after jointly adjusting for the effects of waist-to-hip ratio (WHR), waist circumference (WC), hip circumference (HC) and BMI, the causal impact of KOA on HV and HR remained robust. CONCLUSION In this study, the genetic causality between KOA and increased risk of hallux deformities (HV and HR) is established, which can provide evidence-based recommendations for reducing the incidence of hallux deformities in KOA patients. Further high-level studies are warranted to validate the associations and explore its broader implications.
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Affiliation(s)
- Zhengtao Lv
- Department of Orthopedics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, People's Republic of China
| | - Mingchao Lin
- The Orthopedic Hospital, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, 330006, People's Republic of China
- Department of Sports Medicine, Orthopedic Hospital, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, 330006, People's Republic of China
| | - Jiaming Zhang
- Clinical innovation & Research Center (CIRC), Shenzhen Hospital, Southern Medical University, Shenzhen, 518100, People's Republic of China
| | - KuoYang Sun
- The Orthopedic Hospital, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, 330006, People's Republic of China
- Department of Sports Medicine, Orthopedic Hospital, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, 330006, People's Republic of China
| | - Zunwen Lin
- The Orthopedic Hospital, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, 330006, People's Republic of China
- Department of Sports Medicine, Orthopedic Hospital, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, 330006, People's Republic of China
- Jiangxi Provincial Key Laboratory of Spine and Spinal Cord Diseases, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, 330006, People's Republic of China
- Postdoctoral Innovation Practice Base, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, 330006, People's Republic of China
| | - Feng Yin
- Department of Joint Surgery, Shanghai East Hospital, School of Medicine, Tongji University, Shanghai, 200092, People's Republic of China
- Shanghai Institute of Stem Cell Research and Clinical Translation, Shanghai, 200120, People's Republic of China
| | - Junming Huang
- The Orthopedic Hospital, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, 330006, People's Republic of China.
- Department of Sports Medicine, Orthopedic Hospital, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, 330006, People's Republic of China.
- Jiangxi Provincial Key Laboratory of Spine and Spinal Cord Diseases, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, 330006, People's Republic of China.
- Postdoctoral Innovation Practice Base, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, 330006, People's Republic of China.
| | - Yaping Ye
- Department of Orthopedics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, People's Republic of China.
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