Heat stress-induced systemic metabolic disorder serves as the core pathological basis of organismal damage. Although mung bean polyphenols (MBPs) had been preliminarily validated in cellular heat-stress models for their intestinal tissue-protective potential, whether they can alleviate heat-stress injury in vivo by remodeling the metabolic crosstalk network between the gut and systemic circulation remains mechanistically unclear. In this study, we innovatively employed an integrated multi-omics approach combining physiological phenotype, gut metabolome, and serum metabolome analyses based on a Balb/c heat stress (41 °C) mouse model, systematically constructing the metabolic phenotype regulatory network of MBPs. The results demonstrated that MBPs not only significantly improved oxidative stress (elevating GSH-Px and T-AOC, reducing MDA), immune-inflammation (down-regulating IL-1β and TNF-α), and stress hormone (lowering cortisol) phenotypes, but also specifically reversed the disturbances in intestinal and serum metabolic profiles induced by heat stress, particularly restoring key pro-inflammatory mediators such as Leukotriene E4 and 5-HETE. Arachidonic acid metabolism, tryptophan metabolism, histidine metabolism, and Fc epsilon RI signaling pathway constituted the core network of heat-stress metabolic disorder and MBP regulation. Furthermore, the study revealed that alterations in hub metabolites—Indolelactic Acid, Trans-Cinnamic Acid, Leukotriene E4, 5-HETE, and N(omega)-Hydroxyarginine—were significantly correlated with phenotypic improvements. This confirms that mung bean polyphenols dynamically dismantle the “pro-inflammatory-oxidative stress” pathological coupling by constructing a novel protective axis centered on the indole metabolism–melatonin–endogenous antioxidant system and successfully established a novel protective axis driven by gut-derived beneficial metabolites that promotes systemic antioxidant function, thereby elucidating the systemic mechanism underlying the alleviation of heat-stress injury at the metabolic network level.
Li et al. (Thu,) studied this question.