小柯机器人

以色列魏茨曼科学研究所Eran Segal研究小组取得一项新突破。他们利用代谢组学和微生物组分析揭示了个体化不利因素对冠状动脉(CAD)的影响。2022年2月17日出版的《自然-医学》发表了这项成果。

为了研究CAD的多因素性质，研究人员对从以色列两家主流医院招募的199名急性冠状动脉综合征(ACS)患者进行了全面的临床和多组学分析，包括血清代谢组学和肠道微生物组分析，并分为地理位置不同的队列。与对照个体相比，ACS患者具有明确的血清代谢组和肠道微生物特征，并且没有梭菌科细菌种类。这种细菌种类与对照个体中多种循环代谢物的水平有关，其中一些种类与CAD患病风险增加有关。研究发现ACS患者的代谢偏差在其潜在遗传或环境起源方面具有个体特异性，并且与临床参数和心血管结果相关。

此外，在患有代谢障碍的对照个体中也观察到与微生物组和饮食相关的ACS代谢异常，这表明这些异常与临床CAD症状出现之前早期代谢异常阶段有关。最后，在非ACS队列上应用的基于代谢组学的体重指数(BMI)模型在对ACS患者进行分析时会产生高于实际的BMI，并且超额BMI 预测与糖尿病(DM)和CAD的严重程度不相关而与涉及的血管数量有关。这些结果突出了血清代谢组在探究CAD风险因素异质性方面的效用。

研究人员表示，诸如CAD类疑难杂症通常是由多因素、多种潜在的病理机制造成的。

附：英文原文

Title: Metabolomic and microbiome profiling reveals personalized risk factors for coronary artery disease

Author: Talmor-Barkan, Yeela, Bar, Noam, Shaul, Aviv A., Shahaf, Nir, Godneva, Anastasia, Bussi, Yuval, Lotan-Pompan, Maya, Weinberger, Adina, Shechter, Alon, Chezar-Azerrad, Chava, Arow, Ziad, Hammer, Yoav, Chechi, Kanta, Forslund, Sofia K., Fromentin, Sebastien, Dumas, Marc-Emmanuel, Ehrlich, S. Dusko, Pedersen, Oluf, Kornowski, Ran, Segal, Eran

Issue&Volume: 2022-02-17

Abstract: Complex diseases, such as coronary artery disease (CAD), are often multifactorial, caused by multiple underlying pathological mechanisms. Here, to study the multifactorial nature of CAD, we performed comprehensive clinical and multi-omic profiling, including serum metabolomics and gut microbiome data, for 199 patients with acute coronary syndrome (ACS) recruited from two major Israeli hospitals, and validated these results in a geographically distinct cohort. ACS patients had distinct serum metabolome and gut microbial signatures as compared with control individuals, and were depleted in a previously unknown bacterial species of the Clostridiaceae family. This bacterial species was associated with levels of multiple circulating metabolites in control individuals, several of which have previously been linked to an increased risk of CAD. Metabolic deviations in ACS patients were found to be person specific with respect to their potential genetic or environmental origin, and to correlate with clinical parameters and cardiovascular outcomes. Moreover, metabolic aberrations in ACS patients linked to microbiome and diet were also observed to a lesser extent in control individuals with metabolic impairment, suggesting the involvement of these aberrations in earlier dysmetabolic phases preceding clinically overt CAD. Finally, a metabolomics-based model of body mass index (BMI) trained on the non-ACS cohort predicted higher-than-actual BMI when applied to ACS patients, and the excess BMI predictions independently correlated with both diabetes mellitus (DM) and CAD severity, as defined by the number of vessels involved. These results highlight the utility of the serum metabolome in understanding the basis of risk-factor heterogeneity in CAD. Multi-omic profiling of patients with coronary artery disease reveals links between alterations in the serum metabolome with genetics, diet and the microbiome and also implicates these metabolomic alterations with metabolic impairment preceding clinically overt coronary artery disease.

DOI: 10.1038/s41591-022-01686-6

Source: https://www.nature.com/articles/s41591-022-01686-6

Nature Medicine：《自然—医学》，创刊于1995年。隶属于施普林格·自然出版集团，最新IF：87.241
官方网址：https://www.nature.com/nm/
投稿链接：https://mts-nmed.nature.com/cgi-bin/main.plex