Literature DB >> 23050762

iTRAQ-based quantitative protein expression profiling and MRM verification of markers in type 2 diabetes.

Prabhjit Kaur1, Nasser M Rizk, Sereen Ibrahim, Noura Younes, Arushi Uppal, Kevin Dennis, Tejaswita Karve, Kenneth Blakeslee, John Kwagyan, Mahmoud Zirie, Habtom W Ressom, Amrita K Cheema.   

Abstract

The pathogenesis of Type 2 diabetes mellitus (T2DM) is complex owing to molecular heterogeneity in the afflicted population. Current diagnostic methods rely on blood glucose measurements, which are noninformative with respect to progression of the disease to other associated pathologies. Thus, predicting the risk and development of T2DM-related complications, such as cardiovascular disease, remains a major challenge. We have used a combination of quantitative methods for characterization of circulating serum biomarkers of T2DM using a cohort of nondiabetic control subjects (n = 76) and patients diagnosed with T2DM (n = 106). In this case-control study, the samples were randomly divided as training and validation data sets. In the first step, iTRAQ (isobaric tagging for relative and absolute quantification) based protein expression profiling was performed for identification of proteins displaying a significant differential expression in the two study groups. Five of these protein markers were selected for validation using multiple reaction-monitoring mass spectrometry (MRM-MS) and further confirmed with Western blot and QPCR analysis. Functional pathway analysis identified perturbations in lipid and small molecule metabolism as well as pathways that lead to disruption of glucose homeostasis and blood coagulation. These putative biomarkers may be clinically useful for subset stratification of T2DM patients as well as for the development of novel therapeutics targeting the specific pathology.

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Year:  2012        PMID: 23050762     DOI: 10.1021/pr300798z

Source DB:  PubMed          Journal:  J Proteome Res        ISSN: 1535-3893            Impact factor:   4.466


  26 in total

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Journal:  J Nutr       Date:  2015-05-13       Impact factor: 4.798

2.  Attenuation of Equine Lentivirus Alters Mitochondrial Protein Expression Profile from Inflammation to Apoptosis.

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Journal:  Antioxidants (Basel)       Date:  2022-06-16

4.  Serum biomarkers reveal long-term cardiac injury in isoproterenol-treated African green monkeys.

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5.  Quantitative analysis of the murine lipid droplet-associated proteome during diet-induced hepatic steatosis.

Authors:  Salmaan Ahmed Khan; Edith E Wollaston-Hayden; Todd W Markowski; LeeAnn Higgins; Douglas G Mashek
Journal:  J Lipid Res       Date:  2015-09-28       Impact factor: 5.922

6.  First-trimester multimarker prediction of gestational diabetes mellitus using targeted mass spectrometry.

Authors:  Tina Ravnsborg; Lise Lotte T Andersen; Natacha D Trabjerg; Lars M Rasmussen; Dorte M Jensen; Martin Overgaard
Journal:  Diabetologia       Date:  2016-01-27       Impact factor: 10.122

7.  Plasma concentrations of extracellular matrix protein fibulin-1 are related to cardiovascular risk markers in chronic kidney disease and diabetes.

Authors:  Alexandra Scholze; Else-Marie Bladbjerg; Johannes J Sidelmann; Axel C P Diederichsen; Hans Mickley; Mads Nybo; W Scott Argraves; Peter Marckmann; Lars M Rasmussen
Journal:  Cardiovasc Diabetol       Date:  2013-01-07       Impact factor: 9.951

Review 8.  Mass spectrometry-based proteomics for pre-eclampsia and preterm birth.

Authors:  Kai P Law; Ting-Li Han; Chao Tong; Philip N Baker
Journal:  Int J Mol Sci       Date:  2015-05-14       Impact factor: 5.923

Review 9.  Characterization and Quantification of Selenoprotein P: Challenges to Mass Spectrometry.

Authors:  Jérémy Lamarche; Luisa Ronga; Joanna Szpunar; Ryszard Lobinski
Journal:  Int J Mol Sci       Date:  2021-06-11       Impact factor: 5.923

10.  Experimental verification and molecular basis of active immunization against fungal pathogens in termites.

Authors:  Long Liu; Ganghua Li; Pengdong Sun; Chaoliang Lei; Qiuying Huang
Journal:  Sci Rep       Date:  2015-10-13       Impact factor: 4.379

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