{"title":"肠道微生物群与皮肤黑色素瘤之间的遗传因果关系:双样本孟德尔随机研究。","authors":"Peizhou Wang, Tun Liu, Qingguo Zhang, Pan Luo","doi":"10.1097/CMR.0000000000000960","DOIUrl":null,"url":null,"abstract":"<p><p>Currently, numerous studies suggest a potential association between the gut microbiota and the progression of melanoma. Hence, our objective was to examine the genetic impact of the gut microbiota on melanoma through the utilization of the Mendelian randomization (MR) approach. This research employed Bacteroides, Streptococcus, Proteobacteria, and Lachnospiraceae as exposure variables and cutaneous melanoma (CM) as the outcome in a two-sample MR analysis. In this MR research, the primary analytical approach was the random-effects inverse-variance weighting (IVW) model. Complementary methods included weighted median, MR Egger, and basic and weighted models. We assessed both heterogeneity and horizontal pleiotropy in our study, scrutinizing whether the analysis results were affected by any individual SNP. The random-effects IVW outcomes indicated that Streptococcus, Bacteroides, Lachnospiraceae and Proteobacteria had no causal relationship with CM, with odds ratios of 1.001 [95% confidence interval (CI) = 0.998-1.004, P = 0.444], 0.999 (95% CI = 0.996-1.002, P = 0.692), 1.001 (95% CI = 0.998-1.003, P = 0.306), and 0.999 (95% CI = 0.997-1.002, P = 0.998), respectively. No analyses exhibited heterogeneity, horizontal pleiotropy, or deviations. Our research determined that Bacteroides, Streptococcus, Proteobacteria, and Lachnospiraceae do not induce CM at the genetic level. However, we cannot dismiss the possibility that these four gut microbiotas might influence CM through other mechanisms.</p>","PeriodicalId":18550,"journal":{"name":"Melanoma Research","volume":" ","pages":"225-233"},"PeriodicalIF":1.5000,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Genetic causal relationship between gut microbiota and cutaneous melanoma: a two-sample Mendelian randomization study.\",\"authors\":\"Peizhou Wang, Tun Liu, Qingguo Zhang, Pan Luo\",\"doi\":\"10.1097/CMR.0000000000000960\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Currently, numerous studies suggest a potential association between the gut microbiota and the progression of melanoma. Hence, our objective was to examine the genetic impact of the gut microbiota on melanoma through the utilization of the Mendelian randomization (MR) approach. This research employed Bacteroides, Streptococcus, Proteobacteria, and Lachnospiraceae as exposure variables and cutaneous melanoma (CM) as the outcome in a two-sample MR analysis. In this MR research, the primary analytical approach was the random-effects inverse-variance weighting (IVW) model. Complementary methods included weighted median, MR Egger, and basic and weighted models. We assessed both heterogeneity and horizontal pleiotropy in our study, scrutinizing whether the analysis results were affected by any individual SNP. The random-effects IVW outcomes indicated that Streptococcus, Bacteroides, Lachnospiraceae and Proteobacteria had no causal relationship with CM, with odds ratios of 1.001 [95% confidence interval (CI) = 0.998-1.004, P = 0.444], 0.999 (95% CI = 0.996-1.002, P = 0.692), 1.001 (95% CI = 0.998-1.003, P = 0.306), and 0.999 (95% CI = 0.997-1.002, P = 0.998), respectively. No analyses exhibited heterogeneity, horizontal pleiotropy, or deviations. Our research determined that Bacteroides, Streptococcus, Proteobacteria, and Lachnospiraceae do not induce CM at the genetic level. However, we cannot dismiss the possibility that these four gut microbiotas might influence CM through other mechanisms.</p>\",\"PeriodicalId\":18550,\"journal\":{\"name\":\"Melanoma Research\",\"volume\":\" \",\"pages\":\"225-233\"},\"PeriodicalIF\":1.5000,\"publicationDate\":\"2024-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Melanoma Research\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1097/CMR.0000000000000960\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2024/3/11 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q3\",\"JCRName\":\"DERMATOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Melanoma Research","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1097/CMR.0000000000000960","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/3/11 0:00:00","PubModel":"Epub","JCR":"Q3","JCRName":"DERMATOLOGY","Score":null,"Total":0}
引用次数: 0
摘要
目前,许多研究表明,肠道微生物群与黑色素瘤的进展之间存在潜在联系。因此,我们的目标是通过孟德尔随机化(MR)方法,研究肠道微生物群对黑色素瘤的遗传影响。本研究采用乳酸菌、链球菌、变形菌和漆螺菌作为暴露变量,以皮肤黑色素瘤(CM)作为结果,进行双样本 MR 分析。在这项磁共振研究中,主要分析方法是随机效应逆方差加权(IVW)模型。补充方法包括加权中位数、MR Egger、基本模型和加权模型。我们在研究中评估了异质性和水平多向性,仔细检查分析结果是否受到任何单个 SNP 的影响。随机效应 IVW 结果表明,链球菌属、乳杆菌属、拉克氏螺旋体属和变形菌属与 CM 没有因果关系,其几率比为 1.001 [95% 置信区间 (CI) = 0.998-1.004,P = 0.444]、0.999(95% CI = 0.996-1.002,P = 0.692)、1.001(95% CI = 0.998-1.003,P = 0.306)和 0.999(95% CI = 0.997-1.002,P = 0.998)。没有分析显示异质性、水平多效性或偏差。我们的研究确定,乳酸杆菌、链球菌、变形菌和漆树菌在基因水平上不会诱导中耳炎。但是,我们不能排除这四种肠道微生物通过其他机制影响中风的可能性。
Genetic causal relationship between gut microbiota and cutaneous melanoma: a two-sample Mendelian randomization study.
Currently, numerous studies suggest a potential association between the gut microbiota and the progression of melanoma. Hence, our objective was to examine the genetic impact of the gut microbiota on melanoma through the utilization of the Mendelian randomization (MR) approach. This research employed Bacteroides, Streptococcus, Proteobacteria, and Lachnospiraceae as exposure variables and cutaneous melanoma (CM) as the outcome in a two-sample MR analysis. In this MR research, the primary analytical approach was the random-effects inverse-variance weighting (IVW) model. Complementary methods included weighted median, MR Egger, and basic and weighted models. We assessed both heterogeneity and horizontal pleiotropy in our study, scrutinizing whether the analysis results were affected by any individual SNP. The random-effects IVW outcomes indicated that Streptococcus, Bacteroides, Lachnospiraceae and Proteobacteria had no causal relationship with CM, with odds ratios of 1.001 [95% confidence interval (CI) = 0.998-1.004, P = 0.444], 0.999 (95% CI = 0.996-1.002, P = 0.692), 1.001 (95% CI = 0.998-1.003, P = 0.306), and 0.999 (95% CI = 0.997-1.002, P = 0.998), respectively. No analyses exhibited heterogeneity, horizontal pleiotropy, or deviations. Our research determined that Bacteroides, Streptococcus, Proteobacteria, and Lachnospiraceae do not induce CM at the genetic level. However, we cannot dismiss the possibility that these four gut microbiotas might influence CM through other mechanisms.
期刊介绍:
Melanoma Research is a well established international forum for the dissemination of new findings relating to melanoma. The aim of the Journal is to promote the level of informational exchange between those engaged in the field. Melanoma Research aims to encourage an informed and balanced view of experimental and clinical research and extend and stimulate communication and exchange of knowledge between investigators with differing areas of expertise. This will foster the development of translational research. The reporting of new clinical results and the effect and toxicity of new therapeutic agents and immunotherapy will be given emphasis by rapid publication of Short Communications. Thus, Melanoma Research seeks to present a coherent and up-to-date account of all aspects of investigations pertinent to melanoma. Consequently the scope of the Journal is broad, embracing the entire range of studies from fundamental and applied research in such subject areas as genetics, molecular biology, biochemistry, cell biology, photobiology, pathology, immunology, and advances in clinical oncology influencing the prevention, diagnosis and treatment of melanoma.