Zhihao Zhang1, Yanli Hong2, Minmin Chen1, Ninghua Tan1, Shijia Liu3,4, Xiaowei Nie5,6, Wei Zhou7,8. 1. State Key Laboratory of Natural Medicines, School of Traditional Chinese Pharmacy, China Pharmaceutical University, Nanjing, 210009, China. 2. Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, 210029, Jiangsu, China. 3. Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, 210029, Jiangsu, China. liushijia2011@163.com. 4. Department of Clinical Pharmacology, Affiliated Hospital of Nanjing University of Chinese Medicine, #155 Hanzhong Road, Qinhuai District, Nanjing, 210029, China. liushijia2011@163.com. 5. Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, 210029, Jiangsu, China. Niexiao5715@163.com. 6. Department of Reproductive Center, Affiliated Hospital of Nanjing University of Chinese Medicine, #155 Hanzhong Road, Qinhuai District, Nanjing, 210029, China. Niexiao5715@163.com. 7. State Key Laboratory of Natural Medicines, School of Traditional Chinese Pharmacy, China Pharmaceutical University, Nanjing, 210009, China. zhouwei19860506@163.com. 8. School of Traditional Chinese Pharmacy, China Pharmaceutical University, #639 Longmian Avenue, Jiangning District, Nanjing, 211198, China. zhouwei19860506@163.com.
Abstract
INTRODUCTION: Polycystic ovary syndrome (PCOS) is a heterogeneous endocrine disorder. Hyperandrogenism (HA) and insulin resistance (IR) are two important pathogenic factors. OBJECTIVE: We aimed to investigate the inherent disturbed metabolic profiles for women with HA or IR in PCOS as well as discover diagnostic biomarkers. METHODS: A total of 286 subjects were recruited for the study. They constituted the following groups: healthy women (C), those with HA (B1), those with IR but not obese (B2) and obese women with IR (B3) in PCOS. Nine cross-comparisons with PCOS were performed to characterize metabolic disturbances. Serum metabolomic profiles were determined by gas chromatography-mass spectrometry. RESULTS AND CONCLUSION: We found a total of 59 differential metabolites. 28 metabolites for B1 vs C, 32 for B2 vs C and 25 for B3 vs C were discovered. Among them, palmitic acid, cholesterol, myo-inositol, D-allose, 1,5-anhydro-D-sorbitol, 1-monopalmitin, 1-monostearin, glycerol 1-phosphate, malic acid and citric acid, were the common differential metabolites among B1 vs C, B2 vs C and B3 vs C, which related to biosynthesis of unsaturated fatty acids, citrate cycle etc. Besides, 9-biomarker panel can diagnose well between HA and IR in PCOS. They provided areas under the receiver operating characteristic curve of 0.8511 to 1.000 in the discovery phase, and predictive values of 90% to 92% in the validation set. The result indicated that the differential metabolites can reflect the underlying mechanism of PCOS and serve as biomarkers for complementary diagnosis of HA and IR in PCOS.
INTRODUCTION:Polycystic ovary syndrome (PCOS) is a heterogeneous endocrine disorder. Hyperandrogenism (HA) and insulin resistance (IR) are two important pathogenic factors. OBJECTIVE: We aimed to investigate the inherent disturbed metabolic profiles for women with HA or IR in PCOS as well as discover diagnostic biomarkers. METHODS: A total of 286 subjects were recruited for the study. They constituted the following groups: healthy women (C), those with HA (B1), those with IR but not obese (B2) and obesewomen with IR (B3) in PCOS. Nine cross-comparisons with PCOS were performed to characterize metabolic disturbances. Serum metabolomic profiles were determined by gas chromatography-mass spectrometry. RESULTS AND CONCLUSION: We found a total of 59 differential metabolites. 28 metabolites for B1 vs C, 32 for B2 vs C and 25 for B3 vs C were discovered. Among them, palmitic acid, cholesterol, myo-inositol, D-allose, 1,5-anhydro-D-sorbitol, 1-monopalmitin, 1-monostearin, glycerol 1-phosphate, malic acid and citric acid, were the common differential metabolites among B1 vs C, B2 vs C and B3 vs C, which related to biosynthesis of unsaturated fatty acids, citrate cycle etc. Besides, 9-biomarker panel can diagnose well between HA and IR in PCOS. They provided areas under the receiver operating characteristic curve of 0.8511 to 1.000 in the discovery phase, and predictive values of 90% to 92% in the validation set. The result indicated that the differential metabolites can reflect the underlying mechanism of PCOS and serve as biomarkers for complementary diagnosis of HA and IR in PCOS.
Authors: Héctor F Escobar-Morreale; Sara Samino; María Insenser; María Vinaixa; Manuel Luque-Ramírez; Miguel A Lasunción; Xavier Correig Journal: Clin Chem Date: 2012-03-16 Impact factor: 8.327
Authors: Thomas J Wang; Martin G Larson; Ramachandran S Vasan; Susan Cheng; Eugene P Rhee; Elizabeth McCabe; Gregory D Lewis; Caroline S Fox; Paul F Jacques; Céline Fernandez; Christopher J O'Donnell; Stephen A Carr; Vamsi K Mootha; Jose C Florez; Amanda Souza; Olle Melander; Clary B Clish; Robert E Gerszten Journal: Nat Med Date: 2011-03-20 Impact factor: 53.440
Authors: Christopher B Newgard; Jie An; James R Bain; Michael J Muehlbauer; Robert D Stevens; Lillian F Lien; Andrea M Haqq; Svati H Shah; Michelle Arlotto; Cris A Slentz; James Rochon; Dianne Gallup; Olga Ilkayeva; Brett R Wenner; William S Yancy; Howard Eisenson; Gerald Musante; Richard S Surwit; David S Millington; Mark D Butler; Laura P Svetkey Journal: Cell Metab Date: 2009-04 Impact factor: 27.287