Identification of Altered Metabolomic Profiles Following a Panchakarma-based Ayurvedic Intervention in Healthy Subjects: The Self-Directed Biological Transformation Initiative (SBTI)
Short Title: Sci.Rep.
Format: Journal Article
Publication Date: Nov 30, 2015
Sources ID: 30421
Notes: LR: 20180514; ClinicalTrials.gov/NCT02481544; GR: P30 DK020541/DK/NIDDK NIH HHS/United States; JID: 101563288; 0 (Lipoproteins); 0 (Phosphatidylcholines); 0 (Sphingomyelins); EIN: Sci Rep. 2016 Oct 10;6:34678. PMID: 27721380; 2016/02/15 00:00 [received]; 2016/08/11 00:00 [accepted]; 2016/09/10 06:00 [entrez]; 2016/09/10 06:00 [pubmed]; 2018/05/15 06:00 [medline]; epublish
Collection: Yoga-Based Medical Interventions
Visibility: Public (group default)
The effects of integrative medicine practices such as meditation and Ayurveda on human physiology are not fully understood. The aim of this study was to identify altered metabolomic profiles following an Ayurveda-based intervention. In the experimental group, 65 healthy male and female subjects participated in a 6-day Panchakarma-based Ayurvedic intervention which included herbs, vegetarian diet, meditation, yoga, and massage. A set of 12 plasma phosphatidylcholines decreased (adjusted p < 0.01) post-intervention in the experimental (n = 65) compared to control group (n = 54) after Bonferroni correction for multiple testing; within these compounds, the phosphatidylcholine with the greatest decrease in abundance was PC ae C36:4 (delta = -0.34). Application of a 10% FDR revealed an additional 57 metabolites that were differentially abundant between groups. Pathway analysis suggests that the intervention results in changes in metabolites across many pathways such as phospholipid biosynthesis, choline metabolism, and lipoprotein metabolism. The observed plasma metabolomic alterations may reflect a Panchakarma-induced modulation of metabotypes. Panchakarma promoted statistically significant changes in plasma levels of phosphatidylcholines, sphingomyelins and others in just 6 days. Forthcoming studies that integrate metabolomics with genomic, microbiome and physiological parameters may facilitate a broader systems-level understanding and mechanistic insights into these integrative practices that are employed to promote health and well-being.