AI Article Synopsis

  • The study investigates the causal links between gut microbiota (GM) and chronic kidney disease (CKD), highlighting the potential role of chronic systemic inflammation in CKD, but acknowledges that these relationships are not fully understood.
  • Using advanced statistical methods, researchers analyzed extensive genome-wide association study (GWAS) data to assess the influence of various GM on CKD risk factors such as estimated glomerular filtration rate (eGFR) and C-reactive protein (CRP).
  • Findings indicate that certain types of gut bacteria can either protect against or increase the risk of CKD, with specific GM correlating with kidney function and inflammation markers, while no significant biases or inconsistencies in the results were

Article Abstract

Background: The association of gut microbiota (GM) and chronic kidney disease (CKD), and the relevancy of GM and chronic systemic inflammation in CKD, were revealed on the basis of researches on gut-kidney axis in previous studies. However, their causal relationships are still unclear.

Objective: To uncover the causal relationships between GM and CKD, as well as all known GM from eligible statistics and chronic systemic inflammation in CKD, we performed two-sample Mendelian randomization (MR) analysis.

Materials And Methods: We acquired the latest and most comprehensive summary statistics of genome-wide association study (GWAS) from the published materials of GWAS involving GM, CKD, estimated glomerular filtration rate (eGFR), c-reactive protein (CRP) and urine albumin creatine ratio (UACR). Subsequently, two-sample MR analysis using the inverse-variance weighted (IVW) method was used to determine the causality of exposure and outcome. Based on it, additional analysis and sensitivity analysis verified the significant results, and the possibility of reverse causality was also assessed by reverse MR analysis during this study.

Results: At the locus-wide significance threshold, IVW method and additional analysis suggested that the protective factors for CKD included family (=0.049), genus group (=0.002), genus (=0.009), genus (=0.003) and order (=0.001). Simultaneously, results showed that genus (=0.029) was a risk factor for CKD. Higher abundance of genus (=0.048) was correlated with higher eGFR; higher abundance of genus (=0.018) was correlated with higher UACR; higher abundance of class (=0.003), genus (=0.021), order (=0.003) were correlated with higher CRP levels; higher abundance of class (0.024), family (=0.030), phylum (=0.024) were correlated with lower levels of CRP. No significant pleiotropy or heterogeneity was found in the results of sensitivity analysis, and no significant causality was found in reverse MR analysis.

Conclusion: This study highlighted associations within gut-kidney axis, and the causal relationships between GM and CKD, as well as GM and chronic systemic inflammation in CKD were also revealed. Meanwhile, we expanded specific causal gut microbiota through comprehensive searches. With further studies for causal gut microbiota, they may have the potential to be new biomarkers for targeted prevention of CKD and chronic systemic inflammation in CKD.

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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10652796PMC
http://dx.doi.org/10.3389/fimmu.2023.1287698DOI Listing

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