Effects of immune cells in mediating the relationship between inflammatory bowel disease and pyoderma gangrenosum: a two-sample, two-step mendelian randomization study.

Although the precise cause of the co-occurrence of pyoderma gangrenosum (PG) and inflammatory bowel disease (IBD) is still unknown, prior research has shown that the two conditions coexist. Moreover, it is currently unknown how immune cells function in influencing the relationship between IBD and PG. In order to choose independent single nucleotide polymorphism (SNP) as instrumental variables, we were provided with genome-wide association study (GWAS) summary data of European populations from the IEU OpenGWAS project (for IBD) and a the FinnGen database (for PG) publically available. For the MR analysis, a range of analytical techniques were employed to peer into the possible causative relationship between PG and IBD. The two-step MR analysis was used to investigate the mediating role of immune cells between IBD and PG. The chief method utilized was the inverse variance weighted (IVW) approach. Using the Cochran's Q test and the MR-Egger intercept, respectively, heterogeneity or pleiotropy was evaluated to support the findings. MR-PRESSO (Mendelian Randomization Pleiotropy RESidual Sum and Outlier) were used to identify the outlier SNP. IBD was found to raise the incidence of PG (IVW-FE: OR = 1.604, 95%CI = 1.308-1.966, p = 5.58 × 10- 6), according to MR findings. Moreover, UC or CD were strongly correlated with a greater risk of PG (OR = 1.339, 95%CI = 1.041-1.723, p = 0.023 for UC; OR = 1.339, 95%CI = 1.107-1.621, p = 0.003 for CD). The results of the reverse MR study did not suggest a connection between PG and IBD. CD4+ regulatory T cell is the mediator that particularly stood out in the interaction between UC and PG. There was evidence of neither heterogeneity nor horizontal pleiotropy. And the validity of these conclusions was verified. In the European population, PG risk may be genetically elevated by IBD, including CD and UC, according to the current study. The effect of UC on PG may have been causally mediated by CD4+ regulatory T cells.

Zhu H ，Pan J 《-》

HIV and risk of hypertension: a two-sample Mendelian randomization study.

Previous studies have shown that human immunodeficiency virus (HIV) infection is associated with hypertension; however, the results of these studies are affected by a variety of confounding factors. There is no definite evidence to prove a causal relationship between these two factors. This study aimed to investigate the causal relationship between HIV infection and hypertension. A two-sample Mendelian randomization (MR) study was conducted using genome-wide association study (GWAS) statistics published online. The data were collected mainly from the OpenGWAS and FinnGen databases. The HIV database contained 357 HIV patients and 218,435 control patients; the hypertension database contained 54,358 patients and 408,652 control patients; and the blood pressure database contained 436,424 samples. Random effect inverse variance weighting (IVW) was used as the main analysis method, weighted median and Mr-Egger analysis methods were used to ensure the accuracy of the results, and Cochran's Q test and Mr-Egger regression methods were used to detect heterogeneity and correct multiple horizontal effects. Finally, the leave-one-out method was used to analyse the reliability of the test results. In order to further verify the research results, different databases were used and the same statistical method was used for a replication analysis. In order to prevent false positive results caused by multiple tests, Bonferroni correction is used to correct the statistical results. After screening, a total of 9 SNPs (single-nucleotide polymorphisms) were selected as the instrumental variable (IV) used in this study. The IVW MR analysis results showed a causal relationship between HIV infection and the risk of hypertension (IVW: OR = 1.001, P = 0.03). When systolic blood pressure was the outcome, the IVW method results were positive (OR = 1.004, P = 0.01280), and when diastolic blood pressure was the outcome, the weighted median method results were positive (OR = 1.004, P = 0.04570). According to the sensitivity analysis, the results of this study were unlikely to be affected by heterogeneity and horizontal pleiotropy. The leave-one-out analysis showed that the results of this study did not change significantly with the elimination of a single SNP. In replication analysis, when diastolic blood pressure was taken as the outcome, the weighted median method was positive (OR = 1.042, P = 0.037). Sensitivity analysis shows that there is heterogeneity, but there is no horizontal pleiotropy. The leave-one-out analysis showed that the results of this study did not change significantly with the elimination of a single SNP. As the first exploratory study using MR method to study the causal relationship between HIV infection and hypertension and blood pressure, this study found that HIV infection may increase systolic and diastolic blood pressure and increase the risk of hypertension. PLWH, as a high-risk group of cardiovascular and cerebrovascular diseases, should prevent the occurrence of hypertension in order to further improve their quality of life. However, this study also has some limitations. The results of the relationship between HIV infection and hypertension and blood pressure may be affected by the lack of statistical efficacy. In order to further confirm this conclusion, more large-scale RCT or genetic studies should be carried out.

Zhu RW ，Guo HY ，Niu LN ，Deng M ，Li XF ，Jing L ... -  《BMC INFECTIOUS DISEASES》

Assessing inflammatory protein factors in inflammatory bowel Disease using multivariable mendelian randomization.

Inflammatory bowel disease (IBD), including ulcerative colitis (UC) and Crohn's disease (CD), decreases quality of life and causes disability. The underlying processes are not fully understood. This study uses Mendelian randomization (MR) analysis to identify cytokines that may be associated with UC and CD, aiding in early diagnosis and treatment decisions. Methods Genome-wide association study (GWAS) data for inflammatory cytokine levels were obtained from a cohort of 14,824 individuals of European descent. The outcome data were then analyzed using summary-level GWAS data for UC and CD from the International Inflammatory Bowel Disease Genetics Consortium (IIBDGC). The analysis was primarily conducted using inverse-variance weighted (IVW) methods, with MR-Egger and weighted median serving as supplementary analyses. Sensitivity analyses included Cochran's Q test, MR-Egger intercept test, MR-PRESSO, and leave-one-out analysis.The inflammatory cytokines were subjected to additional scrutiny through the application of the Steiger test and reverse Mendelian randomization analysis. Subsequently, multivariable Mendelian randomization (MVMR) was employed to examine the associations of metabolites on UC and CD, in conjunction with linkage disequilibrium score regression (LDSC) and colocalization analysis. After FDR correction, we identified significant genetic associations of two inflammatory proteins (CXCL5 and CXCL9) with UC, and CXCL5 and IL-18R1 with CD. These findings were further validated by MVMR. Colocalization analyses demonstrated substantial genetic overlap between inflammatory proteins and IBD, with CXCL5 showing strong evidence of shared genetic variants with UC, and CXCL9 exhibiting genetic colocalization with CD, suggesting common genetic determinants underlying these inflammatory protein-IBD relationships. The current work presents evidence that presents evidence of significant associations between seven inflammatory protein factors and UC, as well as three inflammatory protein factors and CD. These findings provide novel insights into the biological mechanisms of IBD, and have implications for the screening, prevention, and treatment of IBD.

Su Q ，Lu Y ，He S ，Liang J ，Huang S ，He Y ，An Z ... -  《Scientific Reports》

Mendelian randomization analysis of blood uric acid and risk of preeclampsia: based on GWAS and eQTL data.

Wang J ，Liu X ，Fu Y ，Zhu B ，Zhang J ... -  《-》

Global and regional genetic association analysis of ulcerative colitis and type 2 diabetes mellitus and causal validation analysis of two-sample two-way Mendelian randomization.

Clinical co-occurrence of UC (Ulcerative Colitis) and T2DM (Type 2 Diabetes Mellitus) is observed. The aim of this study is to investigate the potential causal relationship between Ulcerative Colitis (UC) and Type 2 Diabetes Mellitus (T2DM) using LDSC and LAVA analysis, followed by genetic verification through TSMR, providing insights for clinical prevention and treatment. Genetic loci closely related to T2DM were extracted as instrumental variables from the GWAS database, with UC as the outcome variable, involving European populations. The UC data included 27,432 samples and 8,050,003 SNPs, while the T2DM data comprised 406,831 samples and 11,914,699 SNPs. LDSC and LAVA were used for quantifying genetic correlation at both global (genome-wide) and local (genomic regions) levels. MR analysis was conducted using IVW, MR-Egger regression, Weighted median, and Weighted mode, assessing the causal relationship between UC and diabetes with OR values and 95% CI. Heterogeneity and pleiotropy were tested using Egger-intercept, MR-PRESSO, and sensitivity analysis through the "leave-one-out" method and Cochran Q test. Subsequently, a reverse MR operation was conducted using UC as the exposure data and T2DM as the outcome data for validation. Univariable and bivariable LDSC calculated the genetic correlation and potential sample overlap between T2DM and UC, resulting in rg = -0.0518, se = 0.0562, P = 0.3569 with no significant genetic association found for paired traits. LAVA analysis identified 9 regions with local genetic correlation, with 6negative and 3 positive associations, indicating a negative correlation between T2DM and UC. MR analysis, with T2DM as the exposure and UC as the outcome, involved 34 SNPs as instrumental variables. The OR values and 95% CI from IVW, MR-Egger, Weighted median, and Weighted mode were 0.917 (0.848~0.992), 0.949 (0.800~1.125), 0.881 (0.779~0.996), 0.834(0.723~0.962) respectively, with IVW P-value < 0.05, suggesting a negative causal relationship between T2DM and UC. MR-Egger regression showed an intercept of -0.004 with a standard error of 0.009, P = 0.666, and MR-PRESSO Global Test P-value > 0.05, indicating no pleiotropy and no outliers detected. Heterogeneity tests showed no heterogeneity, and the "leave-one-out" sensitivity analysis results were stable. With UC as the exposure and T2DM as the outcome, 32 SNPs were detected, but no clear causal association was found. There is a causal relationship between T2DM and UC, where T2DM reduces the risk of UC, while no significant causal relationship was observed from UC to T2DM.

Hu YZ ，Chen Z ，Zhou MH ，Zhao ZY ，Wang XY ，Huang J ，Li XT ，Zeng JN ... -  《Frontiers in Immunology》