Ask about this productRelated genes to: SPAG11B antibody
- Gene:
- SPAG11B NIH gene
- Name:
- sperm associated antigen 11B
- Previous symbol:
- -
- Synonyms:
- HE2, EP2, EP2C, EP2D, EDDM2B
- Chromosome:
- 8p23.1
- Locus Type:
- gene with protein product
- Date approved:
- 2001-02-22
- Date modifiied:
- 2015-09-10
Related products to: SPAG11B antibody
Related articles to: SPAG11B antibody
- Previous observational studies have indicated a significant correlation between plasma proteome composition and cataract pathological status; however, the direction of causality remains uncertain. In light of the aforementioned findings, the present study employs a bidirectional two-sample Mendelian randomisation strategy, with the objective of elucidating the direct causal link between plasma proteome changes and cataract development. Following rigorous data analysis and validation, a series of plasma proteins were identified as being strongly associated with cataract risk. These included ILF3, FAM171A1, ARHGEF2, LPR1B, CRYGD, GLT8D1, ARHGEF10 and LRRTM1, all of which were confirmed to be potential risk factors for cataract. In contrast, proteins such as MXRA7, ZHX3, SPAG11B, ARID1A, DNASE1L2, COX7A1 and EEF2K were found to exert a protective effect against cataract. To gain further insight into the specific mechanisms by which these causally related proteins contribute to cataract pathology, we subsequently performed an exhaustive bioinformatics analysis. This analysis not only deepened our understanding of the functional properties of these proteins, but also revealed their possible involvement in signalling pathways and molecular interactions, thereby providing new insights into the pathogenesis of cataract. - Source: PubMed
Publication date: 2025/12/17
Han XuanWang JinyanSu XiaojuanGuo XingyuYe Hejiang - The incidence of rheumatoid arthritis (RA) is rising. However, its pathogenesis has not been fully understood, and the current therapeutic regimens are still limited. The aim of this study was to investigate the causal effect of plasma proteins on RA using Mendelian randomization (MR) analysis. - Source: PubMed
Publication date: 2025/06/04
Lin KunLin QiLv WeifengLi YaoSu Rong - The study observed interactions between gut microbiota and male reproductive health, noting that the causal relationships were previously unclear. It aimed to explore the potential cause-and-effect relationship between gut bacteria and male reproductive problems such as inflammation, infertility, and sperm functionality, using a two-sample Mendelian randomization method to examine these connections. The analysis found that certain bacterial genera, such as Erysipelatoclostridium (0.71 [0.55-0.92]), Parasutterella (0.74 [0.57-0.96]), Ruminococcaceae UCG-009 (0.77 [0.60-0.98]), and Slackia (0.69 [0.49-0.96]), showed protective effects against prostatitis. In contrast, other genera like Faecalibacterium (1.59 [1.08-2.34]), Lachnospiraceae UCG004 (1.64 [1.15-2.34]), Odoribacter (1.68 [1.01-2.81]), Paraprevotella (1.28 [1.03-1.60]), and Sutterella (1.58 [1.13-2.19]) were detrimental. Additionally, causal relationships were identified between 2 genera and orchitis and epididymitis, 3 genera and male infertility, and 5 genera and abnormal spermatozoa. Further analysis of sperm-related proteins revealed causal associations between specific bacterial genera and proteins such as SPACA3, SPACA7, SPAG11A, SPAG11B, SPATA9, SPATA20, and ZPBP4. The results remained robust after sensitivity analysis and reverse Mendelian randomization analysis. The study concluded that specific bacterial genera have causal roles in reproductive inflammation, infertility, and sperm-associated proteins. This provides a novel strategy for the early diagnosis and identification of therapeutic targets in reproductive inflammation and infertility. - Source: PubMed
Wu XiaohongMei JingwenQiao ShicunLong WenFeng ZhoushanFeng Guo - The proteome serves as the primary basis for identifying targets for treatment. This study conducted proteomic range two-sample Mendelian randomization (MR) analysis to pinpoint potential protein markers and treatment targets for ankylosing spondylitis (AS). A total of 4907 data points on circulating protein expression were collected from a large-scale protein quantitative trait locus investigation involving 35,559 individuals. Using data from a Finnish study on AS as the outcome, the dataset comprised 166,144 individuals of European ancestry (1462 cases and 164,682 controls), and causal relationships were determined through bidirectional Mendelian randomization of two samples. Proteins were further validated and identified through single-cell expression analysis, certain cells showing enriched expression levels were detected, and possible treatment targets were optimized. Increased HERC5 expression predicted by genes was related to increased AS risk, whereas the expression of the remaining five circulating proteins, AIF1, CREB3L4, MLN, MRPL55, and SPAG11B, was negatively correlated with AS risk. For each increase in gene-predicted protein levels, the ORs of AS were 2.11 (95% CI 1.44-3.09) for HERC5, 0.14 (95% CI 0.05-0.41) for AIF1, 0.48 (95% CI 0.34-0.68) for CREB3L4, 0.54 (95% CI 0.42-0.68) for MLN, 0.23 (95% CI 0.13-0.38) for MRPL55, and 0.26 (95% CI 0.17-0.39) for SPAG11B. The hypothesis of a reverse causal relationship between these six circulating proteins and AS is not supported. Three of the six protein-coding genes were expressed in both the AS and healthy control groups, while CREB3L4, MLN, and SPAG11B were not detected. Increased levels of HERC5 predicted by genes are related to increased AS risk, whereas the levels of the remaining five circulating proteins, AIF1, CREB3L4, MLN, MRPL55, and SPAG11B, negatively correlate with AS risk. HERC5, AIF1, and MRPL55 are potential therapeutic targets for AS. This study advanced the field by employing a novel combination of proteomic range two-sample MR analysis and single-cell expression analysis to identify potential protein markers and therapeutic targets for AS. This approach enabled a comprehensive understanding of the causal relationships between circulating proteins and AS, which has not been extensively explored in previous studies. - Source: PubMed
Publication date: 2024/09/10
Zhou ZhongxianLiu ChongFeng SitanChen JiaruiChen TianyouZhu JichongWu ShaofengZhou ChenxingHuang ChengqianXue JiangQin XiaopengZhan Xinli - Increasing evidences indicate that an unbalance between tryptases and their endogenous inhibitors, leading to an increased proteolytic activity, is implicated in the pathophysiology of rheumatoid arthritis. The aim of the present study was to evaluate the impact of tryptase inhibition on experimental arthritis. - Source: PubMed
Publication date: 2017/06/06
Denadai-Souza AlexandreRibeiro Camilla MoreiraRolland CorinneThouard AnneDeraison CélineScavone CristoforoGonzalez-Dunia DanielVergnolle NathalieAvellar Maria Christina Werneck