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补体与结直肠癌之间的因果关系:一项药物靶点孟德尔随机化研究。

Causal relationship between complement and colorectal cancer: a drug target Mendelian randomization study.

作者信息

Jiao Mingwen, Cui Yuying, Qiu Xiaodong, Liang Xuezhen, Li Junhan, Guo Congcong, Tian Hu

机构信息

Department of General Surgery, Shandong Provincial Qianfoshan Hospital, Shandong University, Jinan, Shandong, China.

The First Clinical Medical College, Shandong University of Traditional Chinese Medicine, Jinan, Shandong, China.

出版信息

Front Genet. 2024 Jul 23;15:1403509. doi: 10.3389/fgene.2024.1403509. eCollection 2024.

Abstract

BACKGROUND

Colorectal cancer is influenced by several factors such as unhealthy habits and genetic factors. has been linked to a number of malignancies. However, uncertainty surrounds the connection between and CRC. Therefore, this study aimed to explore a bidirectional causal relationship of as a drug target in CRC through Mendelian randomization (MR) analysis.

METHODS

The GWASs for and CRC were obtained from the Integrative Epidemiology Unit Open GWAS database. There were five strategies to investigate MR. Sensitivity analysis was carried out via tests for heterogeneity, horizontal pleiotropy and leave-one-out effects to evaluate the dependability of the MR analysis results. Furthermore, colocalization analysis of and CRC, protein-protein interaction network and drug prediction according to exposure factors as well as phenotype scanning were performed.

RESULTS

The results of forward MR analysis demonstrated that was a risk factor for CRC (OR = 1.104, = 0.033). However, we did not find a causal relationship between CRC and (reverse MR). Rs294180 and rs291985 corresponded to the same linkage interval and had the potential to influence and CRC, respectively. The PPI results demonstrated that interacted with 10 genes (, , , , , , , , , and ). Additionally, 21 medications were predicted to match . Molecular docking data, including for benzo(a)pyrene, 1-naphthylisothiocyanate, calcitriol and medroxyprogesterone acetate, revealed excellent binding for drugs and proteins. Moreover, we identified 29 diseases that were associated with and related medicines via disease prediction and intersection methods. As a therapeutic target for CRC, phenotypic scanning revealed that does not significantly affect weight loss, liver cirrhosis, or nonalcoholic fatty liver disease, but might have protective impacts on ovarian cancer and melanoma.

CONCLUSION

The results highlight a causal relationship between and CRC and imply an oncogenic role for in CRC, as potential drug targets. Drugs designed to target have a greater chance of success in clinical trials and are expected to help prioritize CRC drug development and reduce drug development costs. That provided a theoretical foundation and reference for research on CRC and in MR.

摘要

背景

结直肠癌受多种因素影响,如不健康的生活习惯和遗传因素。它与多种恶性肿瘤有关。然而,[某因素]与结直肠癌之间的联系尚不确定。因此,本研究旨在通过孟德尔随机化(MR)分析探索[某因素]作为结直肠癌药物靶点的双向因果关系。

方法

从综合流行病学单位开放GWAS数据库中获取[某因素]和结直肠癌的全基因组关联研究(GWAS)数据。有五种策略用于研究孟德尔随机化。通过异质性检验、水平多效性检验和留一法效应进行敏感性分析,以评估孟德尔随机化分析结果的可靠性。此外,还进行了[某因素]与结直肠癌的共定位分析、蛋白质 - 蛋白质相互作用网络分析、基于暴露因素的药物预测以及表型扫描。

结果

正向孟德尔随机化分析结果表明,[某因素]是结直肠癌的一个危险因素(比值比 = 1.104,P = 0.033)。然而,我们未发现结直肠癌与[某因素]之间存在因果关系(反向孟德尔随机化)。Rs294180和rs291985分别对应相同的连锁区间,且有可能分别影响[某因素]和结直肠癌。蛋白质 - 蛋白质相互作用结果表明,[某因素]与10个基因([基因名称列举])相互作用。此外,预测有21种药物与[某因素]匹配。分子对接数据,包括苯并(a)芘、异硫氰酸1 - 萘酯、骨化三醇和醋酸甲羟孕酮的数据,显示药物与蛋白质具有良好的结合。此外,通过疾病预测和交叉方法,我们确定了29种与[某因素]及相关药物相关的疾病。作为结直肠癌的治疗靶点,表型扫描显示,[某因素]对体重减轻、肝硬化或非酒精性脂肪性肝病无显著影响,但可能对卵巢癌和黑色素瘤具有保护作用。

结论

结果突出了[某因素]与结直肠癌之间的因果关系,并暗示[某因素]在结直肠癌中具有致癌作用,可作为潜在的药物靶点。针对[某因素]设计的药物在临床试验中成功的机会更大,有望有助于确定结直肠癌药物开发的优先级并降低药物开发成本。这为孟德尔随机化中结直肠癌和[某因素]的研究提供了理论基础和参考。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/41a0/11300244/e7ce1db8e118/fgene-15-1403509-g001.jpg

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