Ethnic disparities in bidirectional causal effects between serum uric acid concentrations and kidney function: Trans-ethnic Mendelian randomization study

Wu, Shijie; Kong, Minghao; Song, Yaxiang; Peng, Ai

doi:10.1016/j.heliyon.2023.e21108

Cited by 3 publications

(1 citation statement)

References 44 publications

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“…Racial and ethnic differences that drive health inequalities, such as CKD, ESRD, and CVD, are complex and require a thorough investigation of all confounding factors that may improve the standard practice of clinical care. For example, Wu et al reported no causal effect between estimated glomerular filtration rate (eGFR) and serum uric acid concentrations in individuals of African ancestry, but a causal effect was found in those of European and Asian ancestries, indicating the importance of racial and ethnic disparities in medical care [ 8 ]. Similarly, Reynolds et al found an ancestry-driven metabolite variation in the ALMS1 gene associated with CKD in those of African descent [ 9 ].…”

Section: Introductionmentioning

confidence: 99%

Metabolomic and Physiological Effects of a Cardiorenal Protective Diet Intervention in African American Adults with Chronic Kidney Disease

Patel,

Emerenini,

Wang

et al. 2024

Metabolites

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Chronic kidney disease (CKD) impacts 14% of adults in the United States, and African American (AA) individuals are disproportionately affected, with more than 3 times higher risk of kidney failure as compared to White individuals. This study evaluated the effects of base-producing fruit and vegetables (FVs) on cardiorenal outcomes in AA persons with CKD and hypertension (HTN) in a low socioeconomic area. The “Cardiorenal Protective Diet” prospective randomized trial evaluated the effects of a 6-week, community-based FV intervention compared to a waitlist control (WL) in 91 AA adults (age = 58.3 ± 10.1 years, 66% female, 48% income ≤ USD 25K). Biometric and metabolomic variables were collected at baseline and 6 weeks post-intervention. The change in health outcomes for both groups was statistically insignificant (p > 0.05), though small reductions in albumin to creatinine ratio, body mass index, total cholesterol, and systolic blood pressure were observed in the FV group. Metabolomic profiling identified key markers (p < 0.05), including C3, C5, 1-Met-His, kynurenine, PC ae 38:5, and choline, indicating kidney function decline in the WL group. Overall, delivering a directed cardiorenal protective diet intervention improved cardiorenal outcomes in AA adults with CKD and HTN. Additionally, metabolomic profiling may serve as a prognostic technique for the early identification of biomarkers as indicators for worsening CKD and increased CVD risk.

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Section: Introductionmentioning

confidence: 99%

Metabolomic and Physiological Effects of a Cardiorenal Protective Diet Intervention in African American Adults with Chronic Kidney Disease

Patel,

Emerenini,

Wang

et al. 2024

Metabolites

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TEMR: Trans-ethnic Mendelian Randomization Method using Large-scale GWAS Summary Datasets

Hou,

Wu,

Yuan

et al. 2024

Preprint

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Available large-scale GWAS summary datasets predominantly stem from European populations, while sample sizes for other ethnicities, notably Central/South Asian, East Asian, African, Hispanic, etc. remain comparatively limited, which induces the low precision of causal effect estimation within these ethnicities using Mendelian Randomization (MR). In this paper, we propose a Trans-ethnic MR method called TEMR to improve statistical power and estimation precision of MR in the target population using trans-ethnic large-scale GWAS summary datasets. TEMR incorporates trans-ethnic genetic correlation coefficients through a conditional likelihood-based inference framework, producing calibrated p-values with substantially improved MR power. In the simulation study, TEMR exhibited superior precision and statistical power in the causal effects estimation within the target populations than other existing MR methods. Finally, we applied TEMR to infer causal relationships from 17 blood biomarkers to four diseases (hypertension, ischemic stroke, type 2 diabetes and schizophrenia) in East Asian, African and Hispanic/Latino populations leveraging the biobank-scale GWAS summary data from European. We found that causal biomarkers were mostly validated by previous MR methods, and we also discovered 13 new causal relationships that were not identified using previously published MR methods.

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Causal associations between human gut microbiota and Multiple Myeloma: a mendelian randomization study

Zhang,

Hu,

Liu

et al. 2024

Preprint

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Background: Numerous clinical studies have indicated a close connection between the human gut microbiome and multiple myeloma, yet the presence of a causal genetic link between them remains unclear. This study employs a two-sample Mendelian Randomization (MR) approach to assess the potential causal relationship between these two factors. Methods:We used genome-wide association study (GWAS) statistics for the human gut microbiome obtained from the MiBioGen database, and multiple myeloma data from the UK Biobank (UKB). The primary analysis was conducted using the inverse variance weighted (IVW) method for two-sample MR to assess the causal relationship between the gut microbiome and multiple myeloma. Sensitivity analyses were performed to ensure the robustness of the results. Results:Our findings, predominantly based on the IVW method, support a causal relationship between six gut microbial taxa and multiple myeloma. We observed positive associations with increased risk of multiple myeloma for Anaerotruncus from the human colon (p=0.033) and the Bilophila genus (p=0.033), suggesting these microbiota may elevate the risk of the disease. Conversely, negative correlations potentially related to reduced risk were found for the Slackia genus (p=0.022), Victivallis genus (p=0.046), Butyrivibrio genus (p=0.044), and Ruminiclostridium5 genus (p=0.032). No reverse causality was detected between multiple myeloma and the six specific gut microbial taxa. Conclusion:Our team pioneered a Mendelian Randomization study on the causal relationship between specific gut microbiota and multiple myeloma, providing meaningful insights into the potential mechanisms from a genetic perspective. This research offers valuable references for the early prevention of multiple myeloma and the improvement of disease progression.

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Ethnic disparities in bidirectional causal effects between serum uric acid concentrations and kidney function: Trans-ethnic Mendelian randomization study

Cited by 3 publications

References 44 publications

Metabolomic and Physiological Effects of a Cardiorenal Protective Diet Intervention in African American Adults with Chronic Kidney Disease

Metabolomic and Physiological Effects of a Cardiorenal Protective Diet Intervention in African American Adults with Chronic Kidney Disease

TEMR: Trans-ethnic Mendelian Randomization Method using Large-scale GWAS Summary Datasets

Causal associations between human gut microbiota and Multiple Myeloma: a mendelian randomization study

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