Xu Rong, Wang QuanQiu, Li Li
BMC Genomics. 2015;16 Suppl 7(Suppl 7):S4. doi: 10.1186/1471-2164-16-S7-S4. Epub 2015 Jun 11.
Dietary intakes of red meat and fat are established risk factors for both colorectal cancer (CRC) and cardiovascular disease (CVDs). Recent studies have shown a mechanistic link between TMAO, an intestinal microbial metabolite of red meat and fat, and risk of CVDs. Data linking TMAO directly to CRC is, however, lacking. Here, we present an unbiased data-driven network-based systems approach to uncover a potential genetic relationship between TMAO and CRC.
We constructed two different epigenetic interaction networks (EINs) using chemical-gene, disease-gene and protein-protein interaction data from multiple large-scale data resources. We developed a network-based ranking algorithm to ascertain TMAO-related diseases from EINs. We systematically analyzed disease categories among TMAO-related diseases at different ranking cutoffs. We then determined which genetic pathways were associated with both TMAO and CRC.
We show that CVDs and their major risk factors were ranked highly among TMAO-related diseases, confirming the newly discovered mechanistic link between CVDs and TMAO, and thus validating our algorithms. CRC was ranked highly among TMAO-related disease retrieved from both EINs (top 0.02%, #1 out of 4,372 diseases retrieved based on Mendelian genetics and top 10.9% among 882 diseases based on genome-wide association genetics), providing strong supporting evidence for our hypothesis that TMAO is genetically related to CRC. We have also identified putative genetic pathways that may link TMAO to CRC, which warrants further investigation. Through systematic disease enrichment analysis, we also demonstrated that TMAO is related to metabolic syndromes and cancers in general.
Our genome-wide analysis demonstrates that systems approaches to studying the epigenetic interactions among diet, microbiome metabolisms, and disease genetics hold promise for understanding disease pathogenesis. Our results show that TMAO is genetically associated with CRC. This study suggests that TMAO may be an important intermediate marker linking dietary meat and fat and gut microbiota metabolism to risk of CRC, underscoring opportunities for the development of new gut microbiome-dependent diagnostic tests and therapeutics for CRC.
红肉和脂肪的饮食摄入量是结直肠癌(CRC)和心血管疾病(CVD)的既定风险因素。最近的研究表明,红肉和脂肪的肠道微生物代谢产物氧化三甲胺(TMAO)与心血管疾病风险之间存在机制联系。然而,将TMAO与结直肠癌直接联系起来的数据尚缺乏。在此,我们提出一种基于无偏数据驱动网络的系统方法,以揭示TMAO与结直肠癌之间潜在的遗传关系。
我们使用来自多个大规模数据资源的化学-基因、疾病-基因和蛋白质-蛋白质相互作用数据构建了两个不同的表观遗传相互作用网络(EIN)。我们开发了一种基于网络的排名算法,以从EIN中确定与TMAO相关的疾病。我们在不同的排名阈值下系统地分析了与TMAO相关疾病中的疾病类别。然后,我们确定了哪些遗传途径与TMAO和结直肠癌都相关。
我们表明,心血管疾病及其主要风险因素在与TMAO相关的疾病中排名很高,证实了心血管疾病与TMAO之间新发现的机制联系,从而验证了我们的算法。在从两个EIN中检索到的与TMAO相关的疾病中,结直肠癌排名很高(前0.02%,基于孟德尔遗传学检索的4372种疾病中排名第1,基于全基因组关联遗传学的882种疾病中排名第10.9%),为我们的假设提供了有力的支持证据,即TMAO与结直肠癌存在遗传关系。我们还确定了可能将TMAO与结直肠癌联系起来的推定遗传途径,这值得进一步研究。通过系统的疾病富集分析,我们还证明了TMAO一般与代谢综合征和癌症有关。
我们的全基因组分析表明,研究饮食、微生物组代谢和疾病遗传学之间表观遗传相互作用的系统方法有望用于理解疾病发病机制。我们的结果表明,TMAO与结直肠癌存在遗传关联。这项研究表明,TMAO可能是将饮食中的肉类和脂肪以及肠道微生物群代谢与结直肠癌风险联系起来的重要中间标志物,突出了开发新的依赖肠道微生物群的结直肠癌诊断测试和治疗方法的机会。