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Zhang Z, Cao B, Wu Q. Causality of Genetically Determined Metabolites on Chronic Kidney Disease: A Two-Sample Mendelian Randomization Study In Silico. Metab Syndr Relat Disord 2024. [PMID: 38742978 DOI: 10.1089/met.2024.0030] [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: 05/16/2024] Open
Abstract
Introduction: Chronic kidney disease (CKD) is associated with metabolic disorders. However, the evidence for the causality of circulating metabolites to promote or prevent CKD is still lacking. Methods: The two-sample Mendelian randomization (MR) analysis was conducted to evaluate the latent causal relationship between the genetically proxied 486 blood metabolites and CKD. Genome-wide association study (GWAS) data for exposures were derived from 7824 European GWAS on metabolite levels, which have been extensively utilized in the medical field to elucidate the mechanisms underlying disease onset and progression. The random inverse variance weighted (IVW) is the primary analysis for causality analysis while MR-Egger and weighted median as complementary analyses. For the further identification of metabolites, reverse MR and linkage disequilibrium score regression were performed for further evaluation. The drug target for N-acetylornithine was subsequently supplemented into the analysis, with MR and colocalization analysis being utilized. Key metabolic pathways were identified via MetaboAnalyst 4.0 (https://www.metaboanalyst.ca/) online website. Results: N-acetylornithine was identified as a reliable metabolite that increases the susceptibility to estimated glomerular filtration rate (eGFR) decrease (β = 0.047; 95% confidence interval: -0.068 to -0.026; PIVW = 1.5E-5). The "glyoxylate and dicarboxylate metabolism" pathway showed significant relevance to CKD development (P = 6E-4), whereas the "glycine, serine, and threonine metabolism" pathway was also recognized as associated with CKD by general practitioners (P = 7E-4). Colocalization analysis revealed a robust genetic link between N-acetylornithine and both CKD and eGFR, with 85.1% and 99.4% colocalization rates, respectively. IVW-MR analysis substantiated these findings with a significant positive association for CKD (odds ratio = 1.43, P = 4.7E-5) and a negative correlation with eGFR (b = -0.04, P = 1.13E-31). Conclusions: MR was utilized to explore the potential causal links between 61 genetic serum metabolites and CKD. N-acetylornithine and NAT8 were further explored as a potential therapeutic target for CKD treatment.
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Affiliation(s)
- Zekai Zhang
- Second College of Clinical Medicine, Nanjing Medical University, Nanjing, China
| | - Beibei Cao
- Academy of Paediatrics, Nanjing Medical University, Nanjing, China
| | - Qiutong Wu
- Second College of Clinical Medicine, Nanjing Medical University, Nanjing, China
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Wu S, Zhu S, Mo F, Yuan X, Zheng Q, Bai Y, Yang W, Chen Q. Association of coffee consumption with the prevalence of hearing loss in US adults, NHANES 2003-2006. Public Health Nutr 2023; 26:2322-2332. [PMID: 37485659 DOI: 10.1017/s1368980023001271] [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: 07/25/2023]
Abstract
OBJECTIVE This study aims to explore the association between coffee consumption and the prevalence of hearing loss in American adults based on a national population-based survey. DESIGN Cross-sectional analysis of reported audiometric status and coffee intake from the 2003-2006 National Health and Nutrition Examination Survey (NHANES). Multivariate logistic regression, forest plots and restricted cubic spline (RCS) analyses were used to explore the associations and dose-response relationships between coffee consumption frequency and hearing loss. SETTING The USA. PARTICIPANT This study included 1894 individuals aged ≥ 20 from the 2003-2006 NHANES. RESULTS In this study, the prevalence of speech-frequency hearing loss (SFHL) and high-frequency hearing loss (HFHL) among the participants was 35·90 % and 51·54 %, respectively. Compared with those who no consumed coffee, non-Hispanic White who consumed ≥ 4 cups/d had higher prevalence of SFHL (OR: 1·87; 95 % CI: 1·003. 3·47). And a positive trend of coffee consumption frequency with the prevalence of HFHL was found (Ptrend = 0·001). This association of HFHL was similar for participants aged 20-64 (Ptrend = 0·001), non-Hispanic White (Ptrend = 0·002), non-noise exposure participants (Ptrend = 0·03) and noise-exposed participants (Ptrend = 0·003). The forest plots analysis found that the association between 1 cup-increment of daily coffee consumption and the prevalence of HFHL was statistically significant in males. RCS model supported a positive linear association of coffee consumption with SFHL (P for overall association = 0·02, P for nonlinearity = 0·48) and a positive non-linear association of coffee consumption with HFHL (P for overall association = 0·001, P for nonlinearity = 0·001). CONCLUSION Our findings suggested that coffee consumption was associated with higher prevalence of hearing loss. Further cohort studies in larger population are needed to investigate these findings.
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Affiliation(s)
- Shan Wu
- Guangdong Provincial Engineering Research Center of Public Health Detection and Assessment, School of public health, Guangdong Pharmaceutical University, Guangzhou510310, China
| | - Shiheng Zhu
- Guangdong Provincial Engineering Research Center of Public Health Detection and Assessment, School of public health, Guangdong Pharmaceutical University, Guangzhou510310, China
| | - Fengxin Mo
- Guangdong Provincial Engineering Research Center of Public Health Detection and Assessment, School of public health, Guangdong Pharmaceutical University, Guangzhou510310, China
| | - Xiaojing Yuan
- Guangdong Provincial Engineering Research Center of Public Health Detection and Assessment, School of public health, Guangdong Pharmaceutical University, Guangzhou510310, China
| | - Qiutong Zheng
- Guangdong Provincial Engineering Research Center of Public Health Detection and Assessment, School of public health, Guangdong Pharmaceutical University, Guangzhou510310, China
| | - Yan Bai
- Guangdong Provincial Engineering Research Center of Public Health Detection and Assessment, School of public health, Guangdong Pharmaceutical University, Guangzhou510310, China
| | - Wenhan Yang
- Guangdong Provincial Engineering Research Center of Public Health Detection and Assessment, School of public health, Guangdong Pharmaceutical University, Guangzhou510310, China
| | - Qingsong Chen
- Guangdong Provincial Engineering Research Center of Public Health Detection and Assessment, School of public health, Guangdong Pharmaceutical University, Guangzhou510310, China
- NMPA Key Laboratory for Technology Research and Evaluation of Pharmacovigilance, Guangdong Pharmaceutical University, Guangzhou, China
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Zhang X, Zhou J, Xie Z, Li X, Hu J, He H, Li Z. Exploring blood metabolites and thyroid disorders: a bidirectional mendelian randomization study. Front Endocrinol (Lausanne) 2023; 14:1270336. [PMID: 37876541 PMCID: PMC10591305 DOI: 10.3389/fendo.2023.1270336] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/31/2023] [Accepted: 09/26/2023] [Indexed: 10/26/2023] Open
Abstract
Background Human blood metabolites have demonstrated close associations with thyroid disorders in observational studies. However, it's essential to determine whether these correlations imply causation. Mendelian Randomization (MR) offers a promising approach to investigate these patterns. Aims The primary aim of our investigation is to establish causality between blood metabolites and three thyroid disorders: TC, GD, and HT. Methods We employed a two-sample bidirectional MR analysis approach to assess the relationships between 452 blood metabolites and the three aforementioned thyroid disorders. Causal links were estimated using the IVW method, with sensitivity analyses conducted via MR-Egger, Weighted Median, and MR-PRESSO. We assessed potential heterogeneity and pleiotropy using MR-Egger intercept and Cochran's Q statistic. Additionally, we conducted pathway analysis to identify potential metabolic pathways. Results We found 46 metabolites that showed suggestive associations with thyroid disease risk, especially Aspartate (ORIVW=7.41; 95%CI: 1.51-36.27; PIVW=0.013) and C-glycosyltryptophan (ORIVW=0.04; 95%CI: 0.00-0.29; PIVW=0.001) impacted TC, Kynurenine (ORIVW=2.69; 95%CI: 1.08-6.66; PIVW=0.032) and 4-androsten-3beta,17beta-diol disulfate 2 (ORIVW=0.78; 95%CI: 0.48-0.91; PIVW=0.024) significantly impacted GD, and Alpha-ketoglutarate (ORIVW=46.89; 95%CI: 4.65-473.28; PIVW=0.001) and X-14189-leucylalanine (ORIVW=0.31; 95%CI: 0.15-0.64 PIVW=0.001) significantly impacted HT. We also detected 23 metabolites influenced by TC and GD. Multiple metabolic pathways have been found to be involved in thyroid disease. Conclusion Our MR findings suggest that the identified metabolites and pathways can serve as biomarkers for clinical thyroid disorder screening and prevention, while also providing new insights for future mechanistic exploration and drug target selection.
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Affiliation(s)
- Xuan Zhang
- Department of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha, Hunan, China
- Institute of Clinical Pharmacology, Central South University, Changsha, Hunan, China
- Engineering Research Center of Applied Technology of Pharmacogenomics, Ministry of Education, Changsha, Hunan, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Changsha, Hunan, China
- Department of General Surgery, The Second People’s Hospital of Hunan, Changsha, Hunan, China
| | - Jiating Zhou
- Department of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha, Hunan, China
- Institute of Clinical Pharmacology, Central South University, Changsha, Hunan, China
- Engineering Research Center of Applied Technology of Pharmacogenomics, Ministry of Education, Changsha, Hunan, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Changsha, Hunan, China
| | - Zilan Xie
- Department of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha, Hunan, China
- Institute of Clinical Pharmacology, Central South University, Changsha, Hunan, China
- Engineering Research Center of Applied Technology of Pharmacogenomics, Ministry of Education, Changsha, Hunan, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Changsha, Hunan, China
| | - Xi Li
- Department of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha, Hunan, China
- Institute of Clinical Pharmacology, Central South University, Changsha, Hunan, China
- Engineering Research Center of Applied Technology of Pharmacogenomics, Ministry of Education, Changsha, Hunan, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Changsha, Hunan, China
| | - Jiaqing Hu
- Department of Emergency Medicine, Trauma Center, The Second People’s Hospital of Hunan, Changsha, Hunan, China
| | - Hengzheng He
- Department of General Surgery, The Second People’s Hospital of Hunan, Changsha, Hunan, China
| | - Zhi Li
- Department of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha, Hunan, China
- Institute of Clinical Pharmacology, Central South University, Changsha, Hunan, China
- Engineering Research Center of Applied Technology of Pharmacogenomics, Ministry of Education, Changsha, Hunan, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Changsha, Hunan, China
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Wang J, Chen XX, Liu D, Tian E, Guo ZQ, Chen JY, Kong WJ, Zhang SL. Association of Hearing Status and Cognition With Fall Among the Oldest-Old Chinese: A Nationally Representative Cohort Study. Ear Hear 2023; 44:1212-1220. [PMID: 37046369 DOI: 10.1097/aud.0000000000001364] [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: 04/14/2023]
Abstract
OBJECTIVES The oldest-old (aged ≥80 years) are the most rapidly growing population and age is related to hearing impairment (HI) and cognitive decline. We aimed to estimate the association between HI and fall, and the effect of different cognitive states on this association among the oldest-old Chinese population. DESIGN A total of 6931 Chinese oldest-old were included in the 2018 cross-cohort from the Chinese Longitudinal Healthy Longevity Survey (CLHLS). The presence of HI was identified by using a dichotomized metric of self-reported hearing status. Cognitive function was evaluated by using the modified Mini-Mental State Examination (MMSE). Cognitive impairment was defined as the MMSE score below 24 points. Data on fall history were collected by questionnaires survey from the participants or their relatives. We studied the association of hearing status and cognitive function with fall by using multivariable logistic regressions, upon adjustment of sociodemographic characteristics, lifestyles, and health conditions. RESULTS Our participants were aged 92 (range 80 to 117) on average, with 60.1% being women. In total, 39.1% of the participants had reported HI, 50.1% had cognitive impairment, and 26.2% had a history of falling. Participants with HI had a higher incidence of cognitive impairment (79.4%), as compared with their counterparts without HI (31.3%). Compared with those without HI, HI patients had a higher risk of falling after full adjustment for potential confounders (OR = 1.16 [95% confidence interval, CI, 1.01, 1.32], p = 0.031). In comparison with HI participants without cognitive impairment, HI patients with cognitive impairment had a higher fall risk (OR = 1.45 [95% CI = 1.23, 1.72], p < 0.001). CONCLUSIONS Association of hearing status and cognition with fall was, for the first time, examined on the basis of a nationally-representative oldest-old Chinese population. Poor cognitive performance was common in individuals with HI, and those with HI and cognitive impairment further increased the risk of falling.
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Affiliation(s)
- Jun Wang
- Department of Otorhinolaryngology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xing-Xing Chen
- School of Public Health, Wuhan University, Hubei, China
- Global Health Research Center, Duke Kunshan University, Jiangsu, China
| | - Dan Liu
- Department of Otorhinolaryngology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - E Tian
- Department of Otorhinolaryngology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Zhao-Qi Guo
- Department of Otorhinolaryngology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Jing-Yu Chen
- Department of Otorhinolaryngology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Wei-Jia Kong
- Department of Otorhinolaryngology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Institute of Otorhinolaryngology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Su-Lin Zhang
- Department of Otorhinolaryngology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Institute of Otorhinolaryngology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
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Zhang Z, Wang S, Ren F, Yang L, Xie H, Pan L, Li Y, Yu B, Yang Y, Su H, Chen Y, Zhang C, Chen H, Yang W, An N, Bai Y. Inflammatory factors and risk of meningiomas: a bidirectional mendelian-randomization study. Front Neurosci 2023; 17:1186312. [PMID: 37425011 PMCID: PMC10325787 DOI: 10.3389/fnins.2023.1186312] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2023] [Accepted: 06/02/2023] [Indexed: 07/11/2023] Open
Abstract
Background Meningiomas are one of the most common intracranial tumors, and the current understanding of meningioma pathology is still incomplete. Inflammatory factors play an important role in the pathophysiology of meningioma, but the causal relationship between inflammatory factors and meningioma is still unclear. Method Mendelian randomization (MR) is an effective statistical method for reducing bias based on whole genome sequencing data. It's a simple but powerful framework, that uses genetics to study aspects of human biology. Modern methods of MR make the process more robust by exploiting the many genetic variants that may exist for a given hypothesis. In this paper, MR is applied to understand the causal relationship between exposure and disease outcome. Results This research presents a comprehensive MR study to study the association of genetic inflammatory cytokines with meningioma. Based on the results of our MR analysis, which examines 41 cytokines in the largest GWAS datasets available, we were able to draw the relatively more reliable conclusion that elevated levels of circulating TNF-β, CXCL1, and lower levels of IL-9 were suggestive associated with a higher risk of meningioma. Moreover, Meningiomas could cause lower levels of interleukin-16 and higher levels of CXCL10 in the blood. Conclusion These findings suggest that TNF-β, CXCL1, and IL-9 play an important role in the development of meningiomas. Meningiomas also affect the expression of cytokines such as IL-16 and CXCL10. Further studies are needed to determine whether these biomarkers can be used to prevent or treat meningiomas.
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Affiliation(s)
- Zhiyun Zhang
- Department of Neurosurgery, The First Hospital of Jilin University, Changchun, China
- Department of Plastic and Reconstructive Surgery, The First Hospital of Jilin University, Changchun, China
| | - Shengnan Wang
- Department of Neurology, The First Hospital of Jilin University, Changchun, China
| | - Fei Ren
- The Second Hospital of Jilin University, Changchun, Jilin, China
| | - Laiyu Yang
- Department of Plastic and Reconstructive Surgery, The First Hospital of Jilin University, Changchun, China
| | - Haoqun Xie
- The Second Hospital of Jilin University, Changchun, Jilin, China
| | - Lin Pan
- Department of Neurology, The First Hospital of Jilin University, Changchun, China
| | - Yifan Li
- Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, China
| | - Bingcheng Yu
- Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, China
| | - Yifan Yang
- The Second Hospital of Jilin University, Changchun, Jilin, China
| | - Haoyi Su
- Department of Neurosurgery, The First Hospital of Jilin University, Changchun, China
| | - Youqi Chen
- Department of Neurosurgery, The First Hospital of Jilin University, Changchun, China
| | - Chuyi Zhang
- Department of Neurosurgery, The First Hospital of Jilin University, Changchun, China
| | - Hongyu Chen
- Department of Neurosurgery, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Wenzhuo Yang
- Department of Neurosurgery, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Nan An
- Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, China
| | - Yang Bai
- Department of Neurosurgery, The First Hospital of Jilin University, Changchun, China
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Causality of genetically determined metabolites on anxiety disorders: a two-sample Mendelian randomization study. Lab Invest 2022; 20:475. [PMID: 36266699 PMCID: PMC9583573 DOI: 10.1186/s12967-022-03691-2] [Citation(s) in RCA: 25] [Impact Index Per Article: 12.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2022] [Accepted: 10/06/2022] [Indexed: 11/10/2022]
Abstract
BACKGROUND Although anxiety disorders are one of the most prevalent mental disorders, their underlying biological mechanisms have not yet been fully elucidated. In recent years, genetically determined metabolites (GDMs) have been used to reveal the biological mechanisms of mental disorders. However, this strategy has not been applied to anxiety disorders. Herein, we explored the causality of GDMs on anxiety disorders through Mendelian randomization study, with the overarching goal of unraveling the biological mechanisms. METHODS A two-sample Mendelian randomization (MR) analysis was implemented to assess the causality of GDMs on anxiety disorders. A genome-wide association study (GWAS) of 486 metabolites was used as the exposure, whereas four different GWAS datasets of anxiety disorders were the outcomes. Notably, all datasets were acquired from publicly available databases. A genetic instrumental variable (IV) was used to explore the causality between the metabolite and anxiety disorders for each metabolite. The MR Steiger filtering method was implemented to examine the causality between metabolites and anxiety disorders. The standard inverse variance weighted (IVW) method was first used for the causality analysis, followed by three additional MR methods (the MR-Egger, weighted median, and MR-PRESSO (pleiotropy residual sum and outlier) methods) for sensitivity analyses in MR analysis. MR-Egger intercept, and Cochran's Q statistical analysis were used to evaluate possible heterogeneity and pleiotropy. Bonferroni correction was used to determine the causative association features (P < 1.03 × 10-4). Furthermore, metabolic pathways analysis was performed using the web-based MetaboAnalyst 5.0 software. All statistical analysis were performed in R software. The STROBE-MR checklist for the reporting of MR studies was used in this study. RESULTS In MR analysis, 85 significant causative relationship GDMs were identified. Among them, 11 metabolites were overlapped in the four different datasets of anxiety disorders. Bonferroni correction showing1-linoleoylglycerophosphoethanolamine (ORfixed-effect IVW = 1.04; 95% CI 1.021-1.06; Pfixed-effect IVW = 4.3 × 10-5) was the most reliable causal metabolite. Our results were robust even without a single SNP because of a "leave-one-out" analysis. The MR-Egger intercept test indicated that genetic pleiotropy had no effect on the results (intercept = - 0.0013, SE = 0.0006, P = 0.06). No heterogeneity was detected by Cochran's Q test (MR-Egger. Q = 7.68, P = 0.742; IVW. Q = 12.12, P = 0.436). A directionality test conducted by MR Steiger confirmed our estimation of potential causal direction (P < 0.001). In addition, two significant pathways, the "primary bile acid biosynthesis" pathway (P = 0.008) and the "valine, leucine, and isoleucine biosynthesis" pathway (P = 0.03), were identified through metabolic pathway analysis. CONCLUSION This study provides new insights into the causal effects of GDMs on anxiety disorders by integrating genomics and metabolomics. The metabolites that drive anxiety disorders may be suited to serve as biomarkers and also will help to unravel the biological mechanisms of anxiety disorders.
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Xiao G, Wang H, Hu J, Liu L, Zhang T, Zhou M, Li X, Qin C. Estimating the causal effect of frailty index on vestibular disorders: A two-sample Mendelian randomization. Front Neurosci 2022; 16:990682. [PMID: 36090295 PMCID: PMC9448900 DOI: 10.3389/fnins.2022.990682] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2022] [Accepted: 08/01/2022] [Indexed: 11/13/2022] Open
Abstract
Background Frailty index and vestibular disorders appear to be associated in observational studies, but causality of the association remains unclear. Methods A two-sample Mendelian randomization (MR) study was implemented to explore the causal relationship between the frailty index and vestibular disorders in individuals of European descent. A genome-wide association study (GWAS) of frailty index was used as the exposure (n = 175, 226), whereas the GWAS of vestibular disorders was the outcome (n = 462,933). MR Steiger filtering method was conducted to investigate the causal effect of the frailty index on vestibular disorders. An inverse variance weighted (IVW) approach was used as the essential approach to examine the causality. Additionally, the MR-Egger methods, the simple mode analysis, the weighted median analysis, and the weighted mode analysis were used as supplementary methods. The MR-PRESSO analysis, the MR-Egger intercept analysis, and Cochran's Q statistical analysis also were used to detect the possible heterogeneity as well as directional pleiotropy. To evaluate this association, the odds ratio (OR) with 95% confidence intervals (CIs) was used. All statistical analyses were performed in R. The STROBE-MR checklist for the reporting of MR studies was used in this study. Results In total, 14 single nucleotide polymorphisms (SNPs) were identified as effective instrumental variables (IVs) in the two sample MR analyses. The significant causal effect of the frailty index on vestibular disorders was demonstrated by IVW method [OR 1.008 (95% CI 1.003, 1.013), p = 0.001]. Results from the various sensitivity analysis were consistent. The “leave-one-out” analysis indicated that our results were robust even without a single SNP. According to the MR-Egger intercept test [intercept = −0.000151, SE = 0.011, p = 0.544], genetic pleiotropy did not affect the results. No heterogeneity was detected by Cochran's Q test. Results of MR Steiger directionality test indicated the accuracy of our estimate of the potential causal direction (Steiger p < 0.001). Conclusion The MR study suggested that genetically predicted frailty index may be associated with an increased risk of vestibular disorders. Notably, considering the limitations of this study, the causal effects between frailty index and vestibular disorders need further investigation. These results support the importance of effectively managing frailty which may minimize vestibular disorders and improve the quality of life for those with vestibular disorders.
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Affiliation(s)
- Gui Xiao
- Department of Health Management, The Third Xiangya Hospital, Central South University, Changsha, China
- Xiangya School of Nursing, Central South University, Changsha, China
| | - Hu Wang
- Xiangya School of Nursing, Central South University, Changsha, China
| | - Jiaji Hu
- Xiangya School of Nursing, Central South University, Changsha, China
| | - Li Liu
- Department of Health Management, The Third Xiangya Hospital, Central South University, Changsha, China
- Xiangya School of Nursing, Central South University, Changsha, China
| | - Tingting Zhang
- Department of Health Management, The Third Xiangya Hospital, Central South University, Changsha, China
- Xiangya School of Nursing, Central South University, Changsha, China
| | - Mengjia Zhou
- Department of Health Management, The Third Xiangya Hospital, Central South University, Changsha, China
- Xiangya School of Nursing, Central South University, Changsha, China
| | - Xingxing Li
- Department of Health Management, The Third Xiangya Hospital, Central South University, Changsha, China
- Xiangya School of Nursing, Central South University, Changsha, China
| | - Chunxiang Qin
- Department of Health Management, The Third Xiangya Hospital, Central South University, Changsha, China
- Xiangya School of Nursing, Central South University, Changsha, China
- *Correspondence: Chunxiang Qin
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