Nguyen Hai Duc
Department of Pharmacy, College of Pharmacy and Research Institute of Life and Pharmaceutical Sciences, Sunchon National University, Sunchon, Jeonnam Republic of Korea.
J Diabetes Metab Disord. 2022 Nov 26;22(1):401-413. doi: 10.1007/s40200-022-01158-1. eCollection 2023 Jun.
We aim to identify the association between nutrient intake mixtures (22 micro-macro nutrients) and metabolic syndrome (MetS) or its components, including molecular mechanisms involved, among 16,807 Korean adults aged 19-80.
The associations of mixed nutrient intakes on MetS or its components were identified using linear regression models, WQS regression, qgcomp, and BKMR regression. Genes, transcription factors, miRNA, biological processes, and pathways were assessed using GeneMania, CHEA3, MIENTURNET, and ToppFun functions.
We found that the overall effect of mixed nutrient intakes was also related to MetS and its components. In silico analysis, we found that a mixture of nutrients interacted with the IL6 gene and was linked with MetS. Physical interactions were the key interactions (77%) involved in the mutual genes and MetS targeted by a mixture of nutrients. IL6 related pathways, "positive regulation of type B pancreatic cell apoptotic process", "regulation of glucagon secretion", "LDL pathway during atherogenesis", and "IL-10 anti-inflammatory signaling pathway" were identified as key molecular mechanisms that may be targeted by mixed nutrients implicated in MetS. The key miRNAs and transcription factors involved in the process of MetS targeted by a mixture of nutrients were also described. The cutoff levels for nutrient intake levels associated with MetS and its components were also described.
Our findings will pave the way for further research to evaluate the interactions between a mixture of nutrients and non-communicable diseases.
The online version contains supplementary material available at 10.1007/s40200-022-01158-1.
我们旨在确定16807名年龄在19 - 80岁的韩国成年人中,营养摄入混合物(22种微量和常量营养素)与代谢综合征(MetS)或其组成成分之间的关联,包括其中涉及的分子机制。
使用线性回归模型、加权分位数和(WQS)回归、qgcomp以及贝叶斯核机器回归(BKMR)来确定混合营养摄入与代谢综合征或其组成成分之间的关联。使用GeneMania、CHEA3、MIENTURNET和ToppFun功能评估基因、转录因子、微小RNA(miRNA)、生物学过程和信号通路。
我们发现混合营养摄入的总体效应也与代谢综合征及其组成成分有关。在计算机模拟分析中,我们发现营养混合物与白细胞介素6(IL6)基因相互作用,并与代谢综合征相关联。物理相互作用是营养混合物靶向的共同基因与代谢综合征之间涉及的关键相互作用(77%)。与IL6相关的信号通路,如“B型胰腺细胞凋亡过程的正调控”、“胰高血糖素分泌的调节”、“动脉粥样硬化过程中的低密度脂蛋白(LDL)信号通路”以及“IL - 10抗炎信号通路”被确定为可能被涉及代谢综合征的混合营养素靶向的关键分子机制。还描述了营养混合物靶向的代谢综合征过程中涉及的关键miRNA和转录因子。还描述了与代谢综合征及其组成成分相关的营养摄入水平的临界值。
我们的研究结果将为进一步研究评估营养混合物与非传染性疾病之间的相互作用铺平道路。
在线版本包含可在10.1007/s40200 - 022 - 01158 - 1获取的补充材料。