title: Serum metabolomics of Indian women with polycystic ovary syndrome using1H NMR coupled with a pattern recognition approach.
abstract: Polycystic ovary syndrome (PCOS) is one of the most commonly occurring metabolic and endocrinological disorders affecting women of reproductive age. Metabolomics is an emerging field that holds promise in understanding disease pathophysiology. Recently, a few metabolomics based studies have been attempted in PCOS patients; however, none of them have included patients from the Indian population. The main objective of this study was to investigate the serum metabolomic profile of Indian women with PCOS and compare them with controls. Proton nuclear magnetic resonance (1H NMR) was used to first identify the differentially expressed metabolites among women with PCOS from the Eastern region of India during the discovery phase and further validated in a separate cohort of PCOS and control subjects. Multivariate analysis of the binned spectra indicated 16 dysregulated bins in the sera of these women with PCOS. Out of these 16 bins, 13 identified bins corresponded to 12 metabolites including 8 amino acids and 4 energy metabolites. Amongst the amino acids, alanine, valine, leucine and threonine and amongst the energy metabolites, lactate and acetate were observed to be significantly up-regulated in women with PCOS when compared with controls. The remaining 4 amino acids, l-glutamine, proline, glutamate and histidine were down-regulated along with 2 energy metabolites: glucose and 3-hydroxybutyric acid. Our findings showed dysregulations in the expression of different metabolites in the serum of women with PCOS suggesting the involvement of multiple pathways including amino acid metabolism, carbohydrate/lipid metabolism, purine and pyrimidine metabolism and protein synthesis.
authors.affiliation: School of Medical Science and Technology, Indian Institute of Technology, Kharagpur, India. koeliitkgp@gmail.com.
authors.forename: Sourav
authors.initials: S
authors.lastname: RoyChoudhury
authors.affiliation: School of Medical Science and Technology, Indian Institute of Technology, Kharagpur, India. koeliitkgp@gmail.com.
authors.forename: Biswa Prasanna
authors.initials: BP
authors.lastname: Mishra
authors.affiliation: School of Medical Science and Technology, Indian Institute of Technology, Kharagpur, India. koeliitkgp@gmail.com.
authors.forename: Tila
authors.initials: T
authors.lastname: Khan
authors.affiliation: Institute of Reproductive Medicine, Kolkata, India.
authors.forename: Ratna
authors.initials: R
authors.lastname: Chattopadhayay
authors.affiliation: Institute of Reproductive Medicine, Kolkata, India.
authors.forename: Indrani
authors.initials: I
authors.lastname: Lodh
authors.affiliation: Department of Obstetrics and Gynecology, Institute of Postgraduate Medicine and Research, Kolkata, India.
authors.forename: Chaitali
authors.initials: C
authors.lastname: Datta Ray
authors.affiliation: Institute of Reproductive Medicine, Kolkata, India.
authors.forename: Gunja
authors.initials: G
authors.lastname: Bose
authors.affiliation: Institute of Reproductive Medicine, Kolkata, India.
authors.forename: Himadri S
authors.initials: HS
authors.lastname: Sarkar
authors.affiliation: National Facility for High-field NMR, Tata Institute of Fundamental Research, Mumbai, India.
authors.forename: Sudha
authors.initials: S
authors.lastname: Srivastava
authors.affiliation: National Facility for High-field NMR, Tata Institute of Fundamental Research, Mumbai, India.
authors.forename: Mamata V
authors.initials: MV
authors.lastname: Joshi
authors.affiliation: Institute of Reproductive Medicine, Kolkata, India.
authors.forename: Baidyanath
authors.initials: B
authors.lastname: Chakravarty
authors.affiliation: School of Medical Science and Technology, Indian Institute of Technology, Kharagpur, India. koeliitkgp@gmail.com.
authors.forename: Koel
authors.initials: K
authors.lastname: Chaudhury
mesh_terms: D000293:Adolescent; D000328:Adult; D016022:Case-Control Studies; D005260:Female; D006801:Humans; D007194:India; D053858:Metabolic Networks and Pathways; D055442:Metabolome; D055432:Metabolomics / Q000379:methods; D010363:Pattern Recognition, Automated; D011085:Polycystic Ovary Syndrome / Q000097:blood*; D066244:Proton Magnetic Resonance Spectroscopy; D015203:Reproducibility of Results; D055815:Young Adult