Literature DB >> 25498962

Mature adipocyte proteome reveals differentially altered protein abundances between lean, overweight and morbidly obese human subjects.

Hicham Benabdelkamel1, Afshan Masood1, Ghaith M Almidani1, Abdulmajeed A Alsadhan1, Abdulelah F Bassas2, Mark W Duncan3, Assim A Alfadda4.   

Abstract

Overweight (OW) and obese individuals are considered to be graded parts of the scale having increasing weight as a common feature. They may not, however, be part of the same continuum and may differ metabolically. In this study we applied an untargeted proteomic approach to compare protein abundances in mature adipocytes derived from the subcutaneous adipose tissue of overweight and morbidly obese female subjects to those of lean age matched controls. Mature adipocytes were isolated from liposuction samples of abdominal subcutaneous adipose tissue collected from both lean (L; n = 7, 23.3 ± 0.4 kg/m(2); mean BMI ± SD), overweight (OW; n = 8, 27.9 ± 0.6 kg/m(2); mean BMI ± SD) and morbidly obese (MOB; n = 7, 44.8 ± 3.8 kg/m(2); mean BMI ± SD) individuals. Total protein extracts were then compared by two-dimensional difference in gel electrophoresis (2D DIGE). One hundred and ten differentially expressed protein spots (i.e., fitting the statistical criteria ANOVA test, p < 0.05; fold-change ≥1.5) were detected, and of these, 89 were identified by MALDI-TOF mass spectrometry. Of these, 66 protein spots were common to both groups whereas 23 were unique to the MOB group. Significant differences were evident in the abundances of key proteins involved in glucose and lipid metabolism, energy regulation, cytoskeletal structure and redox control signaling pathways. Differences in the abundance of some chaperones were also evident. The differentially abundant proteins were investigated using Ingenuity Pathway Analysis (IPA) to establish their associations with known biological functions. The network identified in the OW group with the highest score relates to-: cell-to-cell signaling and interaction; in contrast, in the MOB group the major interacting pathways are associated with lipid metabolism, small molecule biochemistry and cancer. The differences in abundance of the differentially regulated proteins were validated by immunoblotting. These findings provide insights into metabolic differences in OW and MOB individuals.
Copyright © 2014 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Human adipocytes; Lean; Obese; Obesity; Overweight; Proteomics

Mesh:

Substances:

Year:  2014        PMID: 25498962     DOI: 10.1016/j.mce.2014.11.021

Source DB:  PubMed          Journal:  Mol Cell Endocrinol        ISSN: 0303-7207            Impact factor:   4.102


  18 in total

1.  Proteomics Profiling of the Urine of Patients with Hyperthyroidism after Anti-Thyroid Treatment.

Authors:  Hicham Benabdelkamel; Afshan Masood; Aishah A Ekhzaimy; Assim A Alfadda
Journal:  Molecules       Date:  2021-04-01       Impact factor: 4.411

2.  Proteomic Analysis, Immune Dysregulation, and Pathway Interconnections with Obesity.

Authors:  Carly B Garrison; Kristin J Lastwika; Yuzheng Zhang; Christopher I Li; Paul D Lampe
Journal:  J Proteome Res       Date:  2016-11-14       Impact factor: 4.466

3.  Genomic, Proteomic, and Phenotypic Spectrum of Novel O-Sialoglycoprotein Endopeptidase Variant in Four Affected Individuals With Galloway-Mowat Syndrome.

Authors:  Malak Ali Alghamdi; Hicham Benabdelkamel; Afshan Masood; Narjes Saheb Sharif-Askari; Mahmood Y Hachim; Hamad Alsheikh; Muddathir H Hamad; Mustafa A Salih; Fahad A Bashiri; Khalid Alhasan; Tarek Kashour; Pilar Guatibonza Moreno; Sabine Schröder; Vasiliki Karageorgou; Aida M Bertoli-Avella; Hisham Alkhalidi; Dima Z Jamjoom; Ibrahim A Alorainy; Assim A Alfadda; Rabih Halwani
Journal:  Front Genet       Date:  2022-06-23       Impact factor: 4.772

Review 4.  A proteomic approach to obesity and type 2 diabetes.

Authors:  Elena López-Villar; Gabriel Á Martos-Moreno; Julie A Chowen; Shigeru Okada; John J Kopchick; Jesús Argente
Journal:  J Cell Mol Med       Date:  2015-05-09       Impact factor: 5.310

5.  Proteome-wide alterations on adipose tissue from obese patients as age-, diabetes- and gender-specific hallmarks.

Authors:  María Gómez-Serrano; Emilio Camafeita; Eva García-Santos; Juan A López; Miguel A Rubio; Andrés Sánchez-Pernaute; Antonio Torres; Jesús Vázquez; Belén Peral
Journal:  Sci Rep       Date:  2016-05-10       Impact factor: 4.379

6.  Obese dogs with and without obesity-related metabolic dysfunction - a proteomic approach.

Authors:  Asta Tvarijonaviciute; Jose J Ceron; Carlos de Torre; Blanka B Ljubić; Shelley L Holden; Yann Queau; Penelope J Morris; Josep Pastor; Alexander J German
Journal:  BMC Vet Res       Date:  2016-09-20       Impact factor: 2.741

7.  A Proteomics Based Approach Reveals Differential Regulation of Visceral Adipose Tissue Proteins between Metabolically Healthy and Unhealthy Obese Patients.

Authors:  Assim A Alfadda; Afshan Masood; Mohammed Y Al-Naami; Pierre Chaurand; Hicham Benabdelkamel
Journal:  Mol Cells       Date:  2017-09-20       Impact factor: 5.034

Review 8.  Obesity Proteomics: An Update on the Strategies and Tools Employed in the Study of Human Obesity.

Authors:  Afshan Masood; Hicham Benabdelkamel; Assim A Alfadda
Journal:  High Throughput       Date:  2018-09-12

9.  Circulating proteomic signature for detection of biomarkers in bladder cancer patients.

Authors:  Taoufik Nedjadi; Hicham Benabdelkamal; Nada Albarakati; Afshan Masood; Ahmed Al-Sayyad; Assim A Alfadda; Ibrahim O Alanazi; Adel Al-Ammari; Jaudah Al-Maghrabi
Journal:  Sci Rep       Date:  2020-07-03       Impact factor: 4.379

10.  Comparative Analysis of Milk Fat Globular Membrane (MFGM) Proteome between Saudi Arabia Camelus dromedary Safra and Wadha Breeds.

Authors:  Bassam H Sabha; Afshan Masood; Ibrahim O Alanazi; Assim A Alfadda; Hussein A Almehdar; Hicham Benabdelkamel; Elrashdy M Redwan
Journal:  Molecules       Date:  2020-05-04       Impact factor: 4.411

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.