Multiomics Profiling Reveals Signatures of Dysmetabolism in Urban Populations in Central India.
Multiomics Profiling Reveals Signatures of Dysmetabolism in Urban Populations in Central India.
复制标题
DOI：
10.3390/microorganisms9071485
复制
发表时间：
2021-07-12
期刊：
影响因子：
4.5
通讯作者：
Kashyap RS
中科院分区：
文献类型：
--
作者：
Monaghan TM;Biswas RN;Nashine RR;Joshi SS;Mullish BH;Seekatz AM;Blanco JM;McDonald JAK;Marchesi JR;Yau TO;Christodoulou N;Hatziapostolou M;Pucic-Bakovic M;Vuckovic F;Klicek F;Lauc G;Xue N;Dottorini T;Ambalkar S;Satav A;Polytarchou C;Acharjee A;Kashyap RS
背景：非传染性疾病（NCD）已成为印度发病率和死亡率的主要原因。宿主-微生物组相互作用的干扰可能是一种关键机制，与生活方式相关的风险因素，如吸烟，饮酒和缺乏身体活动可能会影响代谢健康。在非传染性疾病日益流行的易感亚洲印度人中，迫切需要确定相关的代谢异常特征，以预测糖尿病等代谢紊乱的风险。研究方法：在这里，我们报告了第一个深入的表型研究，其中我们前瞻性地招募了来自印度中部城市和农村地区的218名成年人，并使用多组学分析来确定微生物类群与心脏代谢风险的循环生物标志物之间的关系。试验包括通过16 S核糖体RNA基因扩增子测序进行粪便微生物群分析，通过气相色谱-质谱法定量血清短链脂肪酸，以及血清糖尿病蛋白、细胞因子、趋化因子和多同种型抗体的多重试验。还分析了血清中的N-聚糖和免疫球蛋白G Fc N-糖肽。结果如下：在城市居民和超重的年轻成年人中发现了多种代谢异常的标志，其中大多数人没有已知的糖尿病诊断。关联分析揭示了几个宿主微生物和代谢协会。结论：宿主微生物和代谢的相互作用是不同的塑造体重和地理位置在印度中部。对这些联系的进一步探索可能有助于创建分子水平的地图，以估计发生代谢紊乱的风险并设计早期干预措施。
Background: Non-communicable diseases (NCDs) have become a major cause of morbidity and mortality in India. Perturbation of host–microbiome interactions may be a key mechanism by which lifestyle-related risk factors such as tobacco use, alcohol consumption, and physical inactivity may influence metabolic health. There is an urgent need to identify relevant dysmetabolic traits for predicting risk of metabolic disorders, such as diabetes, among susceptible Asian Indians where NCDs are a growing epidemic. Methods: Here, we report the first in-depth phenotypic study in which we prospectively enrolled 218 adults from urban and rural areas of Central India and used multiomic profiling to identify relationships between microbial taxa and circulating biomarkers of cardiometabolic risk. Assays included fecal microbiota analysis by 16S ribosomal RNA gene amplicon sequencing, quantification of serum short chain fatty acids by gas chromatography-mass spectrometry, and multiplex assaying of serum diabetic proteins, cytokines, chemokines, and multi-isotype antibodies. Sera was also analysed for N-glycans and immunoglobulin G Fc N-glycopeptides. Results: Multiple hallmarks of dysmetabolism were identified in urbanites and young overweight adults, the majority of whom did not have a known diagnosis of diabetes. Association analyses revealed several host–microbe and metabolic associations. Conclusions: Host–microbe and metabolic interactions are differentially shaped by body weight and geographic status in Central Indians. Further exploration of these links may help create a molecular-level map for estimating risk of developing metabolic disorders and designing early interventions.
登录
查看更多内容
影响因子：
4.8
作者：
Ganz ML;Wintfeld N;Li Q;Alas V;Langer J;Hammer M
通讯作者：
Hammer M
影响因子：
48
作者：
Callahan BJ;McMurdie PJ;Rosen MJ;Han AW;Johnson AJ;Holmes SP
通讯作者：
Holmes SP
影响因子：
4.3
作者：
Johnson, Matthew P.;Keyho, Ryan;Williams-Blangero, Sarah
通讯作者：
Williams-Blangero, Sarah
影响因子：
82.9
作者：
Furman, David;Campisi, Judith;Slavich, George M.
通讯作者：
Slavich, George M.
影响因子：
3.2
作者：
BALBIN, M;GRUBB, A;GRUBB, R
通讯作者：
GRUBB, R