Nguyen HD. Roles of mixed nutrient intakes on metabolic syndrome among korean adults 19-80 years old: molecular mechanisms involved.
J Diabetes Metab Disord 2023;
22:401-413. [PMID:
37255769 PMCID:
PMC10225430 DOI:
10.1007/s40200-022-01158-1]
[Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/22/2022] [Revised: 10/23/2022] [Accepted: 11/05/2022] [Indexed: 06/01/2023]
Abstract
Purpose
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.
Methods
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.
Results
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.
Conclusion
Our findings will pave the way for further research to evaluate the interactions between a mixture of nutrients and non-communicable diseases.
Supplementary Information
The online version contains supplementary material available at 10.1007/s40200-022-01158-1.
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