Literature DB >> 27720726

Biomarkers of Morbid Obesity and Prediabetes by Metabolomic Profiling of Human Discordant Phenotypes.

Sara Tulipani1, Magali Palau-Rodriguez2, Antonio Miñarro Alonso3, Fernando Cardona4, Anna Marco-Ramell2, Bozo Zonja5, Miren Lopez de Alda5, Araceli Muñoz-Garach4, Alejandro Sanchez-Pla6, Francisco J Tinahones4, Cristina Andres-Lacueva7.   

Abstract

Metabolomic studies aimed to dissect the connection between the development of type 2 diabetes and obesity are still scarce. In the present study, fasting serum from sixty-four adult individuals classified into four sex-matched groups by their BMI [non-obese versus morbid obese] and the increased risk of developing diabetes [prediabetic insulin resistant state versus non-prediabetic non-insulin resistant] was analyzed by LC- and FIA-ESI-MS/MS-driven metabolomic approaches. Altered levels of [lyso]glycerophospholipids was the most specific metabolic trait associated to morbid obesity, particularly lysophosphatidylcholines acylated with margaric, oleic and linoleic acids [lysoPC C17:0: R=-0.56, p=0.0003; lysoPC C18:1: R=-0.61, p=0.0001; lysoPC C18:2 R=-0.64, p<0.0001]. Several amino acids were biomarkers of risk of diabetes onset associated to obesity. For instance, glutamate significantly associated with fasting insulin [R=0.5, p=0.0019] and HOMA-IR [R=0.46, p=0.0072], while glycine showed negative associations [fasting insulin: R=-0.51, p=0.0017; HOMA-IR: R=-0.49, p=0.0033], and the branched chain amino acid valine associated to prediabetes and insulin resistance in a BMI-independent manner [fasting insulin: R=0.37, p=0.0479; HOMA-IR: R=0.37, p=0.0468]. Minority sphingolipids including specific [dihydro]ceramides and sphingomyelins also associated with the prediabetic insulin resistant state, hence deserving attention as potential targets for early diagnosis or therapeutic intervention. Copyright Â
© 2016 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  mass spectrometry; metabolic markers; obesity; observational study; prediabetes

Mesh:

Substances:

Year:  2016        PMID: 27720726     DOI: 10.1016/j.cca.2016.10.005

Source DB:  PubMed          Journal:  Clin Chim Acta        ISSN: 0009-8981            Impact factor:   3.786


  23 in total

Review 1.  Metabolic pathways at the crossroads of diabetes and inborn errors.

Authors:  Eric S Goetzman; Zhenwei Gong; Manuel Schiff; Yan Wang; Radhika H Muzumdar
Journal:  J Inherit Metab Dis       Date:  2017-09-26       Impact factor: 4.982

Review 2.  Form(ul)ation of adipocytes by lipids.

Authors:  Kfir Lapid; Jonathan M Graff
Journal:  Adipocyte       Date:  2017-03-01       Impact factor: 4.534

3.  Plasma branched chain/aromatic amino acids, enriched Mediterranean diet and risk of type 2 diabetes: case-cohort study within the PREDIMED Trial.

Authors:  Miguel Ruiz-Canela; Marta Guasch-Ferré; Estefanía Toledo; Clary B Clish; Cristina Razquin; Liming Liang; Dong D Wang; Dolores Corella; Ramón Estruch; Álvaro Hernáez; Edward Yu; Enrique Gómez-Gracia; Yan Zheng; Fernando Arós; Dora Romaguera; Courtney Dennis; Emilio Ros; José Lapetra; Lluis Serra-Majem; Christopher Papandreou; Olga Portoles; Montserrat Fitó; Jordi Salas-Salvadó; Frank B Hu; Miguel A Martínez-González
Journal:  Diabetologia       Date:  2018-04-16       Impact factor: 10.122

4.  Characterization of metabolites and biomarkers for the probiotic effects of Clostridium cochlearium on high-fat diet-induced obese C57BL/6 mice.

Authors:  Fei Yang; Wenjun Zhu; Paba Edirisuriya; Qing Ai; Kai Nie; Xiangming Ji; Kequan Zhou
Journal:  Eur J Nutr       Date:  2022-03-20       Impact factor: 5.614

Review 5.  Metabolomics prospect of obesity and metabolic syndrome; a systematic review.

Authors:  Moloud Payab; Akram Tayanloo-Beik; Khadijeh Falahzadeh; Maryamossadat Mousavi; Saeede Salehi; Shirin Djalalinia; Mahbube Ebrahimpur; Nafiseh Rezaei; Mostafa Rezaei-Tavirani; Bagher Larijani; Babak Arjmand; Kambiz Gilany
Journal:  J Diabetes Metab Disord       Date:  2021-11-26

6.  Metabolomic Analysis of Serum and Tear Samples from Patients with Obesity and Type 2 Diabetes Mellitus.

Authors:  Erdenetsetseg Nokhoijav; Andrea Guba; Ajneesh Kumar; Balázs Kunkli; Gergő Kalló; Miklós Káplár; Sándor Somodi; Ildikó Garai; Adrienne Csutak; Noémi Tóth; Miklós Emri; József Tőzsér; Éva Csősz
Journal:  Int J Mol Sci       Date:  2022-04-20       Impact factor: 6.208

7.  Sex and puberty-related differences in metabolomic profiles associated with adiposity measures in youth with obesity.

Authors:  Christoph Saner; Brooke E Harcourt; Ahwan Pandey; Susan Ellul; Zoe McCallum; Kung-Ting Kao; Celia Twindyakirana; Anke Pons; Erin J Alexander; Richard Saffery; David P Burgner; Markus Juonala; Matthew A Sabin
Journal:  Metabolomics       Date:  2019-05-03       Impact factor: 4.290

8.  Inhibition of galectin-3 ameliorates the consequences of cardiac lipotoxicity in a rat model of diet-induced obesity.

Authors:  Gema Marín-Royo; Isabel Gallardo; Ernesto Martínez-Martínez; Beatriz Gutiérrez; Raquel Jurado-López; Natalia López-Andrés; Josué Gutiérrez-Tenorio; Eduardo Rial; Marı A Visitación Bartolomé; María Luisa Nieto; Victoria Cachofeiro
Journal:  Dis Model Mech       Date:  2018-02-05       Impact factor: 5.758

9.  Metabotypes of response to bariatric surgery independent of the magnitude of weight loss.

Authors:  Magali Palau-Rodriguez; Sara Tulipani; Anna Marco-Ramell; Antonio Miñarro; Olga Jáuregui; Alex Sanchez-Pla; Bruno Ramos-Molina; Francisco J Tinahones; Cristina Andres-Lacueva
Journal:  PLoS One       Date:  2018-06-01       Impact factor: 3.240

10.  Alterations in postmenopausal plasmatic lipidome.

Authors:  Iara Antonia Lustosa Nogueira; Érika Joseth Sousa Nogueira da Cruz; Andréa Martins Melo Fontenele; José Albuquerque de Figueiredo Neto
Journal:  PLoS One       Date:  2018-09-04       Impact factor: 3.240

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