Self-reported and genetically predicted effects of coffee intake on rheumatoid arthritis: Epidemiological studies and Mendelian randomization analysis

Pu, Bin; Gu, Peng; Zheng, ChuRong; Ma, LiQiong; Zheng, Xiaohui; Zeng, ZhanPeng

doi:10.3389/fnut.2022.926190

Cited by 9 publications

(13 citation statements)

References 44 publications

(45 reference statements)

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“…The inconsistent research results may be attributed to the effects of tea components on bone metabolism. Tea contains abundant polyphenols, flavonoids, alkaloids, and other compounds that enhance antioxidant capacity, reduce oxidative stress damage, and have beneficial effects on bone metabolism [14]. The pharmacological relationship between caffeine and bone mineral density is mediated through the non-specific antagonistic action on adenosine receptors, stimulating adenosine A2A and A2B receptors to activate osteoblasts and inhibit osteoclast differentiation, thereby inducing bone formation.…”

Section: Discussionmentioning

confidence: 99%

Causal relationship between tea intake and bone mineral density at different ages: a Mendelian randomization study

Shen,

Guan,

Cai

et al. 2023

Preprint

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Background: Based on research evidence, bone mineral density(BMD) is closely related to the occurrence of osteoporosis and fractures, and tea intake in daily diet has an important impact on bone density changes. However, the inherent relationship between them is not clear. We adopted a two-sample Mendelian randomization (MR) method to evaluate the causal effect of tea intake on bone density and further explore whether it has specificity in different age groups. Methods： Analyzed meta-data from genome-wide association studies (GWAS) on tea consumption. Used single-nucleotide polymorphisms (SNPs) closely associated with tea consumption as instrumental variables (IVs) for a two-sample Mendelian randomization, the MR-Egger, IVW, Weighted median, Weighted mode methods were used to assess the causal analysis of tea intake between BMD at different ages. Result: Including 31 single nucleotide polymorphisms as instrumental variables. According to the results of inverse variance weighting (IVW), we found that tea intake had a positive causal effect on systemic BMD, but different age groups (0-15 years; 15-30 years; 30-45 years; 45-60 years; over 60 years) showed positive causality only in the 45-60 age range, with no significant statistical effect in other age groups. Evidence suggests that there is no genetic pleiotropic effect of tea intake on the causal effect of systemic BMD or between the five age groups (P> 0.05). In the IVW method, Cochran Q statistic and MR-Egger regression were used to calculate heterogeneity, and P > 0.05 indicates the absence of significant heterogeneity. Conclusion: The results of MR analysis showed that tea intake had a positive causal relationship on total body BMD, while in different age groups, tea intake only positively affected BMD in the 45–60 age group. This means that tea is beneficial for maintaining or increasing BMD in this age group, and may reduce the risk of osteoporosis and fracture.

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Section: Discussionmentioning

confidence: 99%

Causal relationship between tea intake and bone mineral density at different ages: a Mendelian randomization study

Shen,

Guan,

Cai

et al. 2023

Preprint

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“…Mendelian randomization (MR) is a genetic epidemiological methodology that utilizes genetic variants, such as single-nucleotide polymorphisms (SNPs), as instrumental variables (IVs) to infer the genetic association between exposure and outcome [16]. The advantage of MR analysis lies in the random assignment of genetic variants during meiosis, which effectively circumvents the effects of potential confounders and reverse causality encountered in classical epidemiologic studies [17].…”

Section: Introductionmentioning

confidence: 99%

“…16 The advantage of MR analysis lies in the random assignment of genetic variants during meiosis, which effectively circumvents the effects of potential confounders and reverse causality encountered in classical epidemiologic studies. 17 At present, the nature of the association between OSA and VTE remains inconclusive, and there is a dearth of pertinent studies comprehensively exploring the genetic association between OSA and VTE. Therefore, this study aimed to conduct a bidirectional two-sample MR analysis using publicly available summary statistics from large-scale genome-wide association studies (GWAS) to genetically assess the exact association between OSA and VTE, including PE and DVT.…”

Section: Introductionmentioning

confidence: 99%

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The Association between Obstructive Sleep Apnea and Venous Thromboembolism: A Bidirectional Two-Sample Mendelian Randomization Study

Huang,

Zheng,

Pang

et al. 2024

Thromb Haemost

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Background Despite previous observational studies linking obstructive sleep apnea (OSA) to venous thromboembolism (VTE), these findings remain controversial. This study aimed to explore the association between OSA and VTE, including pulmonary embolism (PE) and deep vein thrombosis (DVT), at a genetic level using a bidirectional two-sample Mendelian randomization (MR) analysis. Methods Utilizing summary-level data from large-scale genome-wide association studies (GWAS) in European individuals, we designed a bidirectional two-sample MR analysis to comprehensively assess the genetic association between OSA and VTE. The inverse variance weighting (IVW) was used as the primary method for MR analysis. In addition, MR-Egger, weighted median, and MR pleiotropy residual sum and outlier (MR-PRESSO) were used for complementary analyses. Furthermore, a series of sensitivity analyses were performed to ensure the validity and robustness of the results. Results The initial and validation MR analyses indicated that genetically predicted OSA had no effects on the risk of VTE (including PE and DVT). Likewise, the reverse MR analysis did not find substantial support for a significant association between VTE (including PE and DVT) and OSA. Supplementary MR methods and sensitivity analyses provided additional confirmation of the reliability of the MR results. Conclusion Our bidirectional two-sample MR analysis did not find genetic evidence supporting a significant association between OSA and VTE in either direction.

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“…This method can effectively avoid confounding bias and reverse causality bias in traditional epidemiological studies. 20 In addition, MR has the advantage that its estimates of actual causal effects are more significant and accurate than those observed clinically, including meta-analysis of clinical and prospective studies. 21 In the present study, it was attempted to derive data from the NHANES database to indicate whether OSA would be associated with MetS.…”

Section: Introductionmentioning

confidence: 99%

Evaluate the Relationship Between Obstructive Sleep Apnea and Metabolic Syndrome in Real-World Data

Tang,

Li,

et al. 2024

NSS

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Objective Obstructive sleep apnea (OSA) is a disorder characterized by disruption in breathing and hypoventilation. In parallel, metabolic syndrome (MetS) mainly co-occur with OSA, however, their association has not been fully elucidated. Therefore, this study aimed to reveal the relationship between OSA and MetS using data from the National Health And Nutrition Examination Survey (NHANES) database and pooled data from Genome-Wide Association Studies (GWAS). Material and Methods Data from the National Health and Nutrition Examination Survey and pooled data from genome-wide association analysis (GWAS) were used univariate and multivariate logistic regression analyses were carried out to evaluate the correlation between OSA and MetS, and multivariate logistic regression models were utilized for adjusting for potential confounders. Two-sample Mendelian randomization (MR) was used to assess the causal relationship between OSA and MetS. The variance-weighted inverse method was employed as the main method of analysis. Results A positive relationship of OSA with Mets was evidenced by multivariate logistic regression analysis, and OSA was associated with higher incidence rates of all-cause and cardiovascular mortality. OSA is strongly associated with abdominal obesity, hypertension, hyperglycemia, high triglycerides, and low HDL. Furthermore, except for hypertriglyceridemia, MR analysis indicated that genetically driven OSA was causally associated with a higher risk of MetS. Conclusion The positive relationship of OSA with Mets was revealed, and higher incidence rates of all-cause mortality and cardiovascular mortality were noted to be correlated with OSA. MR analysis further confirmed the causal relationship of OSA with MetS and cardiovascular disease.

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Self-reported and genetically predicted effects of coffee intake on rheumatoid arthritis: Epidemiological studies and Mendelian randomization analysis

Cited by 9 publications

References 44 publications

Causal relationship between tea intake and bone mineral density at different ages: a Mendelian randomization study

Causal relationship between tea intake and bone mineral density at different ages: a Mendelian randomization study

The Association between Obstructive Sleep Apnea and Venous Thromboembolism: A Bidirectional Two-Sample Mendelian Randomization Study

Evaluate the Relationship Between Obstructive Sleep Apnea and Metabolic Syndrome in Real-World Data

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