Nutritional Composition and Pharmacological Activity of Musa balbisiana Colla Seed: An Insight into Phytochemical and Cellular Bioenergetic Profiling

Bioactive fraction of Musa balbisiana seed mitigates D-galactose-induced brain aging via SIRT1/PGC-1α/FoxO3a activation and intestinal barrier dysfunction by modulating gut microbiota and core metabolites

Aging is an inevitable biological process, and emerging research has highlighted the potential of dietary and pharmacological interventions to decelerate the trajectory of age-related diseases and prolong the health span. This study evaluates the protective effects of Musa balbisiana seed on healthy aging using D-galactose-induced accelerated aging rats. The results suggested that the bioactive ethyl acetate fraction of Musa balbisiana seed extract (BF) exhibited protective effects against aging-induced oxidative stress by reducing oxidative DNA damage, advanced glycation end-product formation, and malondialdehyde levels while restoring antioxidant and glyoxalase enzyme activities. BF also ameliorated neurodegeneration by decreasing acetylcholinesterase enzyme activity and amyloid beta plaque formation. Histopathological analysis demonstrated the protective effects of BF against brain aging, liver disruption, renal damage, and intestinal barrier dysfunction. BF further restored intestinal permeability by upregulating the tight junctions (zonula occludens 1 and 2, claudin 1,2,3 and 4, and occludin) and mucin (mucin 2 and mucin 5ac) gene expression while downregulating the expression of inflammatory cytokines (IL-1β, IL-6, and TNF-α). BF significantly induced the phosphorylation of FoxO3a proteins and upregulated the gene expression of SIRT1, PGC-1α, and TFAM in the hippocampus. Next-generation sequencing (NGS) of 16s rRNA amplicons of fecal metagenomics DNA and metabolites profiling showed that BF intervention restructured the gut microbiota and altered core metabolites related to cholesterol metabolism. Overall, our findings demonstrated the multifaceted protective effects of Musa balbisiana seed against D-galactose-induced aging.

An Interpretable Screening Approach Derived Through XGBoost Regression for the Discovery of Hypolipidemic Contributors in Chinese Hawthorn Leaf and its Counterfeit Malus Doumeri Leaf

The active ingredient group is a prominent feature reflecting the inherent characteristics of plant-based functional foods. Chinese hawthorn leaf (CHL), a tea substitute possessing intrinsic nutritional properties in anti-hyperlipidemia, was first found to be adulterated with Malus doumeri leaf (MDL) owing to similar commercial labels. In this context, the above-mentioned two contrasting species were explored through phytochemical profiling and activity assessment. The amelioration effect of CHL on free fatty acids-elicited lipid deposition in HepG2 cells was significantly better than that of MDL. Molecular networking-based metabolic profiles identified 68 and 67 components in CHL and MDL, with 33 shared components. Extreme gradient boosting (XGBoost) algorithm with outstanding performance was selected to screen candidate components contributing to hypolipidemic activity, and the output was later interpreted by Shapley additive explanations (SHAP) method. Twelve and eight components were separately screened as hyperlipidemic inhibitors in CHL and MDL, while only four constituents were shared. The bioactivity evaluation of selected ingredients and combinations further confirmed their anti-hyperlipidemia capacity. These findings emphasized the feasibility of filtering bioactivity-related compounds using interpretable machine learning approaches and illustrated that related species may contain different hypolipidemic contributors, even if shared constituents existed.