Comprehensive gut microbiota and metabolomics combined with network pharmacology reveal the effects of acupuncture treatment for chemotherapy-induced nausea and vomiting.

BACKGROUND

Chemotherapy-induced nausea and vomiting (CINV) significantly impact cancer patients' quality of life. Traditional pharmacological treatments often have limited effectiveness and can cause adverse effects. Acupuncture, a key practice in traditional Chinese medicine (TCM), shows promise as a complementary therapy for CINV. The purpose of this study was to explore the effects and underlying mechanisms of acupuncture in treating CINV.

METHODS

We employed a multi-faceted approach to comprehensively explore the abnormal performances of CINV model and to elucidate the regulatory effects of acupuncture in treating CINV through the integration of 16S rRNA analysis, serum metabolomics, and network pharmacology.

RESULTS

Acupuncture significantly reduced kaolin consumption, mitigated anorexia, and attenuated body weight loss compared to the model group. Acupuncture was found to modulate the gut microbiota composition, enhancing beneficial taxa and reducing harmful ones. Serum metabolomic analysis revealed significant alterations in metabolic profiles, with acupuncture impacting various metabolites involved in pathways related to fatty acid biosynthesis, urea cycle, and amino acid metabolism. Spearman correlation analysis indicated a significant association between gut microbial taxa and serum metabolites. Furthermore, network pharmacology analysis identified key genes (MAPK1, STAT3, EGFR, AKT1, SRC) and pathways (PI3K/Akt, neuroactive ligand-receptor interaction) associated with the anti-CINV effects of acupuncture. In conclusion, acupuncture holds promise in ameliorating CINV through its multifaceted impact on gut microbiota, serum metabolome, and molecular pathways.

CONCLUSIONS

Acupuncture was an adjunctive and important non-drug treatment for CINV, with the protective effects linked to the improvement of gut microbiota disruption and metabolic abnormalities.