Cargando…

Plasma metabolomics reveal the correlation of metabolic pathways and Prakritis of humans

BACKGROUND: Ayurveda, an ancient Indian medicinal system, has categorized human body constitutions in three broad constitutional types (prakritis) i.e. Vata, Pitta and Kapha. OBJECTIVES: Analysis of plasma metabolites and related pathways to classify Prakriti specific dominant marker metabolites and...

Descripción completa

Detalles Bibliográficos
Autores principales: Shirolkar, Amey, Chakraborty, Sutapa, Mandal, Tusharkanti, Dabur, Rajesh
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6033735/
https://www.ncbi.nlm.nih.gov/pubmed/29183656
http://dx.doi.org/10.1016/j.jaim.2017.05.002
_version_ 1783337739255545856
author Shirolkar, Amey
Chakraborty, Sutapa
Mandal, Tusharkanti
Dabur, Rajesh
author_facet Shirolkar, Amey
Chakraborty, Sutapa
Mandal, Tusharkanti
Dabur, Rajesh
author_sort Shirolkar, Amey
collection PubMed
description BACKGROUND: Ayurveda, an ancient Indian medicinal system, has categorized human body constitutions in three broad constitutional types (prakritis) i.e. Vata, Pitta and Kapha. OBJECTIVES: Analysis of plasma metabolites and related pathways to classify Prakriti specific dominant marker metabolites and metabolic pathways. MATERIALS AND METHODS: 38 healthy male individuals were assessed for dominant Prakritis and their fasting blood samples were collected. The processed plasma samples were subjected to rapid resolution liquid chromatography–electrospray ionization–quadrupole time of flight mass spectrometry (RRLC–ESI–QTOFMS). Mass profiles were aligned and subjected to multivariate analysis. RESULTS: Partial least square discriminant analysis (PLS-DA) model showed 97.87% recognition capability. List of PLS-DA metabolites was subjected to permutative Benjamini–Hochberg false discovery rate (FDR) correction and final list of 76 metabolites with p < 0.05 and fold-change > 2.0 was identified. Pathway analysis using metascape and JEPETTO plugins in Cytoscape revealed that steroidal hormone biosynthesis, amino acid, and arachidonic acid metabolism are major pathways varying with different constitution. Biological Go processes analysis showed that aromatic amino acids, sphingolipids, and pyrimidine nucleotides metabolic processes were dominant in kapha type of body constitution. Fat soluble vitamins, cellular amino acid, and androgen biosynthesis process along with branched chain amino acid and glycerolipid catabolic processes were dominant in pitta type individuals. Vata Prakriti was found to have dominant catecholamine, arachidonic acid and hydrogen peroxide metabolomics processes. CONCLUSION: The neurotransmission and oxidative stress in vata, BCAA catabolic, androgen, xenobiotics metabolic processes in pitta, and aromatic amino acids, sphingolipid, and pyrimidine metabolic process in kapha Prakriti were the dominant marker pathways.
format Online
Article
Text
id pubmed-6033735
institution National Center for Biotechnology Information
language English
publishDate 2018
publisher Elsevier
record_format MEDLINE/PubMed
spelling pubmed-60337352018-07-09 Plasma metabolomics reveal the correlation of metabolic pathways and Prakritis of humans Shirolkar, Amey Chakraborty, Sutapa Mandal, Tusharkanti Dabur, Rajesh J Ayurveda Integr Med Original Research Article- Clinical BACKGROUND: Ayurveda, an ancient Indian medicinal system, has categorized human body constitutions in three broad constitutional types (prakritis) i.e. Vata, Pitta and Kapha. OBJECTIVES: Analysis of plasma metabolites and related pathways to classify Prakriti specific dominant marker metabolites and metabolic pathways. MATERIALS AND METHODS: 38 healthy male individuals were assessed for dominant Prakritis and their fasting blood samples were collected. The processed plasma samples were subjected to rapid resolution liquid chromatography–electrospray ionization–quadrupole time of flight mass spectrometry (RRLC–ESI–QTOFMS). Mass profiles were aligned and subjected to multivariate analysis. RESULTS: Partial least square discriminant analysis (PLS-DA) model showed 97.87% recognition capability. List of PLS-DA metabolites was subjected to permutative Benjamini–Hochberg false discovery rate (FDR) correction and final list of 76 metabolites with p < 0.05 and fold-change > 2.0 was identified. Pathway analysis using metascape and JEPETTO plugins in Cytoscape revealed that steroidal hormone biosynthesis, amino acid, and arachidonic acid metabolism are major pathways varying with different constitution. Biological Go processes analysis showed that aromatic amino acids, sphingolipids, and pyrimidine nucleotides metabolic processes were dominant in kapha type of body constitution. Fat soluble vitamins, cellular amino acid, and androgen biosynthesis process along with branched chain amino acid and glycerolipid catabolic processes were dominant in pitta type individuals. Vata Prakriti was found to have dominant catecholamine, arachidonic acid and hydrogen peroxide metabolomics processes. CONCLUSION: The neurotransmission and oxidative stress in vata, BCAA catabolic, androgen, xenobiotics metabolic processes in pitta, and aromatic amino acids, sphingolipid, and pyrimidine metabolic process in kapha Prakriti were the dominant marker pathways. Elsevier 2018 2017-11-26 /pmc/articles/PMC6033735/ /pubmed/29183656 http://dx.doi.org/10.1016/j.jaim.2017.05.002 Text en © 2017 Transdisciplinary University, Bangalore and World Ayurveda Foundation. Publishing Services by Elsevier B.V. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Original Research Article- Clinical
Shirolkar, Amey
Chakraborty, Sutapa
Mandal, Tusharkanti
Dabur, Rajesh
Plasma metabolomics reveal the correlation of metabolic pathways and Prakritis of humans
title Plasma metabolomics reveal the correlation of metabolic pathways and Prakritis of humans
title_full Plasma metabolomics reveal the correlation of metabolic pathways and Prakritis of humans
title_fullStr Plasma metabolomics reveal the correlation of metabolic pathways and Prakritis of humans
title_full_unstemmed Plasma metabolomics reveal the correlation of metabolic pathways and Prakritis of humans
title_short Plasma metabolomics reveal the correlation of metabolic pathways and Prakritis of humans
title_sort plasma metabolomics reveal the correlation of metabolic pathways and prakritis of humans
topic Original Research Article- Clinical
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6033735/
https://www.ncbi.nlm.nih.gov/pubmed/29183656
http://dx.doi.org/10.1016/j.jaim.2017.05.002
work_keys_str_mv AT shirolkaramey plasmametabolomicsrevealthecorrelationofmetabolicpathwaysandprakritisofhumans
AT chakrabortysutapa plasmametabolomicsrevealthecorrelationofmetabolicpathwaysandprakritisofhumans
AT mandaltusharkanti plasmametabolomicsrevealthecorrelationofmetabolicpathwaysandprakritisofhumans
AT daburrajesh plasmametabolomicsrevealthecorrelationofmetabolicpathwaysandprakritisofhumans