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The MPLEx Protocol for Multi-omic Analyses of Soil Samples
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Legume Intake and Glycemic Control in Individuals With or at Risk of Metabolic Syndrome: Multi-Omics Insights From
Guoqing Ma1, Haozhi Niu1, Junqi Li1
1Department of Epidemiology and Biostatistics, School of Public Health, Global Health Institute, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi, China.
Abstract:
To elucidate the legume-specific effects on glycemic control, and the potential mechanisms involving gut microbial co-abundance networks, and short-chain fatty acid (SCFA) metabolism in adults with or at risk of metabolic syndrome (MetS). We analyzed 258 MetS-susceptible adults cross-sectionally and 82 participants in a dietary intervention incorporating black beans. Food frequency questionnaires, glycemic measurements (fasting plasma glucose [FPG], insulin [INS], and homeostatic model assessment for insulin resistance [HOMA-IR]), and multi-omics data (16S rRNA gene sequencing, metabolomics, and SCFA-related genotyping) were integrated. Cross-sectionally, higher mung bean and edamame intakes are consistently associated with lower FPG, while ormosia, black bean, and soybean associated with lower INS and HOMA-IR. In the intervention, black bean consumption decreased FPG (P = 0.018) alongside enrichment of beneficial microbes and a relative suppression of pro-inflammatory taxa. Co-abundance analysis revealed two competing microbial guilds: a butyrate-producing guild positively associated with legumes and inversely with glycemic indices, and a pro-inflammatory guild showing opposite patterns. Furthermore, the rs12994030 variant in a butyrate-synthesis pathway modified the associations of legume intake with INS and HOMA-IR (P for interaction < 0.05). In conclusion, specific legumes confer glycemic benefits in MetS-prone adults, driven by cooperative gut microbial guilds and modulated by butyrate-associated host genetics.
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