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Biomedical subjects

Miao Zhao

Publications and source records attributed to Miao Zhao.

2 recordsLinked to original sources

Causal association between 91 circulating inflammatory proteins and primary open-angle glaucoma: a bidirectional Mendelian randomization study.

BACKGROUND: Glaucoma, especially primary open-angle glaucoma (POAG), is a leading cause of irreversible vision loss. While elevated intraocular pressure is a major risk factor, the pathogenesis of POAG also involves genetics, oxidative stress, abnormal hemodynamics, and inflammatory factors. The role of systemic inflammation in POAG remains a subject of debate. This study aimed to investigate the causal relationships between circulating inflammatory proteins and POAG using a bidirectional Mendelian randomization (MR) approach. METHODS: A bidirectional two-sample MR analysis was conducted using genome-wide association study summary statistics. The primary stage involved 91 circulating inflammatory proteins and POAG, followed by a replication stage to verify significant findings using independent data and meta-analysis. The random-effects inverse-variance weighted model was employed as the primary method, complemented by multiple sensitivity analyses employed to ensure robustness, including multivariable MR to adjust for potential confounders. RESULTS: In the primary stage, 9 circulating inflammatory proteins were found to have significant causal effects on POAG. Specifically, the higher levels of Delta and Notch-like epidermal growth factor-related receptor (DNER) (OR: 1.12, 95 % CI: 1.04-1.21, P = 0.004), leukemia inhibitory factor (LIF) (OR: 1.20, 95 % CI: 1.06-1.36, P = 0.003), matrix metalloproteinase-10 (MMP-10) (OR: 1.08, 95 % CI: 1.02-1.16, P = 0.013), and stem cell factor (SCF) (OR: 1.09, 95 % CI: 1.03-1.15, P = 0.005) were positively associated with the risk of POAG. Conversely, the levels of fibroblast growth factor 19 (FGF-19) (OR: 0.88, 95 % CI: 0.82-0.95, P = 0.002), interleukin-18 (IL-18) (OR: 0.92, 95 % CI: 0.86-0.99, P = 0.019), IL-18 receptor 1 (IL-18R1) (OR: 0.96, 95 % CI: 0.92-1.00, P = 0.037), tumor necrosis factor ligand superfamily member 14 (TNFSF14) (OR: 0.91, 95 % CI: 0.86-0.97, P = 0.004), and tumor necrosis factor-related activation-induced cytokine (TRANCE) (OR: 0.94, 95 % CI: 0.88-1.00, P = 0.041) exhibited inverse associations with the risk of POAG. Multivariable MR analysis adjusting for confounders supported the roles of DNER, FGF-19, IL-18, IL18R1, LIF, and SCF. The replication stage confirmed the significant associations for FGF-19 (OR: 0.89, 95 % CI: 0.84-0.95, P = 4.63 × 10-4), IL-18 (OR: 0.93, 95 % CI: 0.89-0.97, P = 0.002), IL-18R1 (OR: 0.96, 95 % CI: 0.93-0.99, P = 0.023), and LIF (OR: 1.18, 95 % CI: 1.04-1.34, P = 0.013). Sensitivity analyses further supported the robustness of these findings. CONCLUSION: This study elucidated the causal relationships between circulating inflammatory proteins and POAG, highlighting FGF-19, IL-18, IL-18R1, and LIF as potential therapeutic targets. These findings provide new insights for the prevention and management of POAG, although further studies are needed to understand the precise biological mechanisms.

Humans

FLT4 gene polymorphisms influence isolated ventricular septal defect predisposition in a Southwest China population.

BACKGROUND: Ventricular septal defect (VSD) is the most common congenital heart disease. Although a small number of genes associated with VSD have been found, the genetic factors of VSD remain unclear. In this study, we evaluated the association of 10 candidate single nucleotide polymorphisms (SNPs) with isolated VSD in a population from Southwest China. METHODS: Based on the results of 34 congenital heart disease whole-exome sequencing and 1000 Genomes databases, 10 candidate SNPs were selected. A total of 618 samples were collected from the population of Southwest China, including 285 VSD samples and 333 normal samples. Ten SNPs in the case group and the control group were identified by SNaPshot genotyping. The chi-square (&#x3c7;2) test was used to evaluate the relationship between VSD and each candidate SNP. The SNPs that had significant P value in the initial stage were further analysed using linkage disequilibrium, and haplotypes were assessed in 34 congenital heart disease whole-exome sequencing samples using Haploview software. The bins of SNPs that were in very strong linkage disequilibrium were further used to predict haplotypes by Arlequin software. ViennaRNA v2.5.1 predicted the haplotype mRNA secondary structure. We evaluated the correlation between mRNA secondary structure changes and ventricular septal defects. RESULTS: The &#x3c7;2 results showed that the allele frequency of FLT4 rs383985 (P&#x2009;=&#x2009;0.040) was different between the control group and the case group (P&#x2009;<&#x2009;0.05). FLT4 rs3736061 (r2&#x2009;=&#x2009;1), rs3736062 (r2&#x2009;=&#x2009;0.84), rs3736063 (r2&#x2009;=&#x2009;0.84) and FLT4 rs383985 were in high linkage disequilibrium (r2&#x2009;>&#x2009;0.8). Among them, rs3736061 and rs3736062 SNPs in the FLT4 gene led to synonymous variations of amino acids, but predicting the secondary structure of mRNA might change the secondary structure of mRNA and reduce the free energy. CONCLUSIONS: These findings suggest a possible molecular pathogenesis associated with isolated VSD, which warrants investigation in future studies.

Child