Causal relationships between immune cell phenotypes and primary glomerular diseases: genetic evidence from bidirectional Mendelian randomization study

Abstract

Listen

Translate article

Abstract Background Primary glomerular diseases (PGDs), including nephrotic syndrome (NS), membranous nephropathy (MN), and IgA nephropathy (IgAN), are complex renal conditions influenced by immune system dysregulation. Although associations between immune cell phenotypes and PGDs have been observed, the precise causal relationships have not been fully elucidated. Methods Utilizing genetic association data from genome-wide association studies (GWASs), we investigated 731 immunophenotypes in relation to PGDs. A bidirectional two-sample Mendelian Randomization (MR) approach, primarily employing inverse variance weighting (IVW), was conducted to establish causality. MR-Egger, weighted median, simple mode, and weighted mode were used as complementary methods to reinforce the robustness and validity of the results. Sensitivity analyses further validated the sensitivity and stability of our results. Results We identified 38 immunophenotypes suggestively related to IgAN, with 20 as risk factors and 18 as protective effects. Six immunophenotypes remained significant after Bonferroni correction: The percentage of CD25hi among T cells; the percentage of CD25hi CD45RA- CD4 not Treg among T cells; the percentage of CD25hi CD45RA- CD4 not Treg within CD4 + T cell population; CX3CR1 expression on monocyte; CD40 expression on monocyte; and CD64 expression on CD14 + CD16- monocyte. In the validation analysis of IgAN, CD3 expression on effector memory CD4 + T cells further confirmed the predisposing risk role of effector memory T cells in the development of IgAN. Additionally, the MR analysis demonstrated suggestive associations between 25 immunophenotypes and MN (8 risk factors and 17 protective factors), as well as between 22 immunophenotypes and NS (10 risk factors and 12 protective factors). Lastly, by intersecting the immunophenotypes showing suggestive associations with PGDs, we identified two common immunophenotypes shared by IgAN and MN, three by IgAN and NS, and one by MN and NS. Conclusions This genetic-level investigation uncovers causal associations between immunophenotypes and PGDs, providing valuable insights into the immunological underpinnings of PGDs. Our findings suggest potential targets for treatment strategies, thereby facilitating more personalized and effective therapeutic approaches in PGDs management.