Literature DB >> 35747872

METABOLOMIC ANALYSIS OF NORMAL WEIGHT, HEALTHY AND UNHEALTHY OBESITY: AMINO ACID CHANGE ACROSS THE SPECTRUM OF METABOLIC WELLBEING IN WOMEN.

A A Muresan1, A Rusu1, G Roman1, C Bala1.   

Abstract

Context: Obesity is a complex and heterogeneous disorder with multiple phenotypes described. Although metabolomic biomarkers of obesity have been extensively studied, biomarkers of obesity phenotypes and differences between these phenotypes and normal-weight (NW) persons have been less investigated. Objective: The objective of this cross-sectional analysis was to investigate serum amino acids (AA) as markers of metabolic alterations in obesity phenotypes and NW. Design: Cross-sectional. Subjects and
Methods: By targeted metabolomics we analyzed serum samples of 70 women using ultrahigh-performance liquid chromatography/mass spectrometry. Participants were divided into 3 groups: NW, metabolically healthy obesity (MHO) and metabolically unhealthy obesity (MUHO).
Results: Five AAs were significantly different between study groups: cysteine, methionine, asparagine, glutamine, and lysine (p-value <0.05 and variable importance in the projection >1). Cysteine increased linearly with metabolic unwellness from NW to MUHO. Lysine and glutamine were significantly higher, and asparagine was significantly lower in NW and MHO than in MUHO. Conclusions: By trend and group analysis we identified specific changes in serum AAs along with the progression of metabolically unwellness. ©2021 Acta Endocrinologica (Buc).

Entities:  

Keywords:  metabolically healthy obesity; metabolically unhealthy obesity; metabolomics; normal weight; obesity phenotypes

Year:  2021        PMID: 35747872      PMCID: PMC9206147          DOI: 10.4183/aeb.2021.427

Source DB:  PubMed          Journal:  Acta Endocrinol (Buchar)        ISSN: 1841-0987            Impact factor:   1.104


  16 in total

Review 1.  Cysteine and obesity: consistency of the evidence across epidemiologic, animal and cellular studies.

Authors:  Amany K Elshorbagy; Viktor Kozich; A David Smith; Helga Refsum
Journal:  Curr Opin Clin Nutr Metab Care       Date:  2012-01       Impact factor: 4.294

2.  Metabolite profiling identifies pathways associated with metabolic risk in humans.

Authors:  Susan Cheng; Eugene P Rhee; Martin G Larson; Gregory D Lewis; Elizabeth L McCabe; Dongxiao Shen; Melinda J Palma; Lee D Roberts; Andre Dejam; Amanda L Souza; Amy A Deik; Martin Magnusson; Caroline S Fox; Christopher J O'Donnell; Ramachandran S Vasan; Olle Melander; Clary B Clish; Robert E Gerszten; Thomas J Wang
Journal:  Circulation       Date:  2012-04-11       Impact factor: 29.690

3.  Inhibition by sulfhydryl compounds of vascular relaxation induced by nitric oxide and endothelium-derived relaxing factor.

Authors:  L Jia; R F Furchgott
Journal:  J Pharmacol Exp Ther       Date:  1993-10       Impact factor: 4.030

4.  Harmonizing the metabolic syndrome: a joint interim statement of the International Diabetes Federation Task Force on Epidemiology and Prevention; National Heart, Lung, and Blood Institute; American Heart Association; World Heart Federation; International Atherosclerosis Society; and International Association for the Study of Obesity.

Authors:  K G M M Alberti; Robert H Eckel; Scott M Grundy; Paul Z Zimmet; James I Cleeman; Karen A Donato; Jean-Charles Fruchart; W Philip T James; Catherine M Loria; Sidney C Smith
Journal:  Circulation       Date:  2009-10-05       Impact factor: 29.690

5.  Elevated serum levels of cysteine and tyrosine: early biomarkers in asymptomatic adults at increased risk of developing metabolic syndrome.

Authors:  Nina Mohorko; Ana Petelin; Mihaela Jurdana; Gianni Biolo; Zala Jenko-Pražnikar
Journal:  Biomed Res Int       Date:  2015-03-04       Impact factor: 3.411

6.  A comprehensive metabolic profiling of the metabolically healthy obesity phenotype.

Authors:  Vibeke H Telle-Hansen; Jacob J Christensen; Gulla Aase Formo; Kirsten B Holven; Stine M Ulven
Journal:  Lipids Health Dis       Date:  2020-05-09       Impact factor: 3.876

7.  The metabolome profiling of obese and non-obese individuals: Metabolically healthy obese and unhealthy non-obese paradox.

Authors:  Saeed Chashmniam; Nahid Hashemi Madani; BiBi Fatemeh Nobakht Mothlagh Ghoochani; Nahid Safari-Alighiarloo; Mohammad E Khamseh
Journal:  Iran J Basic Med Sci       Date:  2020-02       Impact factor: 2.699

8.  Amino Acid Signature of Oxidative Stress in Patients with Type 2 Diabetes: Targeted Exploratory Metabolomic Research.

Authors:  Cornelia G Bala; Adriana Rusu; Dana Ciobanu; Camelia Bucsa; Gabriela Roman
Journal:  Antioxidants (Basel)       Date:  2021-04-15

9.  Metabolomic analysis of obesity, metabolic syndrome, and type 2 diabetes: amino acid and acylcarnitine levels change along a spectrum of metabolic wellness.

Authors:  Diane M Libert; Amy S Nowacki; Marvin R Natowicz
Journal:  PeerJ       Date:  2018-08-31       Impact factor: 2.984

View more
  1 in total

Review 1.  Chromatographic-Based Platforms as New Avenues for Scientific Progress and Sustainability.

Authors:  José S Câmara; Cátia Martins; Jorge A M Pereira; Rosa Perestrelo; Sílvia M Rocha
Journal:  Molecules       Date:  2022-08-18       Impact factor: 4.927

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.