Literature DB >> 33668851

MALDI-TOF Protein Profiling Reflects Changes in Type 1 Diabetes Patients Depending on the Increased Amount of Adipose Tissue, Poor Control of Diabetes and the Presence of Chronic Complications.

Agnieszka Zawada1, Dariusz Naskręt2, Eliza Matuszewska3, Zenon Kokot4, Marian Grzymisławski1, Dorota Zozulińska-Ziółkiewicz2, Agnieszka Dobrowolska1, Jan Matysiak3.   

Abstract

INTRODUCTION: Protein profiling allows the determination of the presence of proteins marking various stages of the disease, and differentiates between people at risk of various diseases. In type 1 diabetes, protein profiling had been previously used to find blood markers other than islet autoantibodies to indicate the pancreatic beta cell destruction process and to reflect the progression of type 1 diabetes mellitus (T1DM). However, T1DM is an auto-immune disease and its clinical presentation changes in time of its duration. THE AIM OF THE STUDY: To find differences in protein profiles in patients with type 1 diabetes according to diabetes control (HbA1c > 7%) and with presence of diabetic complications or obesity. It may help to identify subgroups of patients who may need a better clinical supervision and individualized treatment.
MATERIAL AND METHODS: A group of 103 patients with auto-immunologically confirmed T1DM, and meeting the following inclusion criteria: Caucasian race, duration of diabetes >5 years, were used in the study. Criteria of exclusion: past or present cancer (treated with chemo-/radiotherapy), diseases of the liver (ALT > 3 × ULN) except for people with simple hepatic steatosis, chronic renal disease (eGFR < 30 mL/1.73 m2/min), and acute inflammation (CRP > 5 mg/dL). The study group was divided in terms of the presence of chronic complications, obesity, or poor metabolic control (HbA1c > 7%). Protein profiling was completed by using the MALDI-TOF MS (matrix-assisted laser desorption/ionization-time of flight mass spectrometry) analyzer.
RESULTS: Differentiating proteins were identified in all of the groups. The groups burdened with complications, obesity, and poor metabolic control were characterized by increased levels of fibrinogen, complement C4 and C3.
CONCLUSION: The groups of type 1 diabetes patients burdened with complications, obesity, and poor metabolic control were characterized by increased levels of fibrinogen, complement C4 and C3. Further detailed studies are necessary to determine more subtle changes in the proteomic profile of patients with type 1 diabetes.

Entities:  

Keywords:  C4 complement; obesity; proteomic profile; type 1 diabetes

Mesh:

Substances:

Year:  2021        PMID: 33668851      PMCID: PMC7967698          DOI: 10.3390/ijerph18052263

Source DB:  PubMed          Journal:  Int J Environ Res Public Health        ISSN: 1660-4601            Impact factor:   3.390


  19 in total

1.  Association between PON 1 polymorphisms, PON activity and diabetes complications.

Authors:  Sabine E Hofer; Bruce Bennetts; Albert K Chan; Bethwyn Holloway; Connie Karschimkus; Alicia J Jenkins; Martin Silink; Kim C Donaghue
Journal:  J Diabetes Complications       Date:  2006 Sep-Oct       Impact factor: 2.852

2.  The influence of a 3-week body mass reduction program on the metabolic parameters and free amino acid profiles in adult Polish people with obesity.

Authors:  Małgorzata Moszak; Agnieszka Klupczyńska; Alina Kanikowska; Zenon Kokot; Agnieszka Zawada; Małgorzata Grzymisławska; Marian Grzymisławski
Journal:  Adv Clin Exp Med       Date:  2018-06       Impact factor: 1.727

3.  Discovery and validation of serum protein changes in type 1 diabetes patients using high throughput two dimensional liquid chromatography-mass spectrometry and immunoassays.

Authors:  Wenbo Zhi; Ashok Sharma; Sharad Purohit; Eric Miller; Bruce Bode; Stephen W Anderson; John Chip Reed; R Dennis Steed; Leigh Steed; Diane Hopkins; Jin-Xiong She
Journal:  Mol Cell Proteomics       Date:  2011-09-06       Impact factor: 5.911

4.  Proteomic analysis of human vitreous fluid by fluorescence-based difference gel electrophoresis (DIGE): a new strategy for identifying potential candidates in the pathogenesis of proliferative diabetic retinopathy.

Authors:  M García-Ramírez; F Canals; C Hernández; N Colomé; C Ferrer; E Carrasco; J García-Arumí; R Simó
Journal:  Diabetologia       Date:  2007-03-23       Impact factor: 10.122

5.  Serum proteomics reveals systemic dysregulation of innate immunity in type 1 diabetes.

Authors:  Qibin Zhang; Thomas L Fillmore; Athena A Schepmoes; Therese R W Clauss; Marina A Gritsenko; Patricia W Mueller; Marian Rewers; Mark A Atkinson; Richard D Smith; Thomas O Metz
Journal:  J Exp Med       Date:  2012-12-31       Impact factor: 14.307

Review 6.  Global epidemiology of type 1 diabetes in young adults and adults: a systematic review.

Authors:  Paula A Diaz-Valencia; Pierre Bougnères; Alain-Jacques Valleron
Journal:  BMC Public Health       Date:  2015-03-17       Impact factor: 3.295

7.  Proteome profiling in the aorta and kidney of type 1 diabetic rats.

Authors:  Moustafa Al Hariri; Mohamad Elmedawar; Rui Zhu; Miran A Jaffa; Jingfu Zhao; Parvin Mirzaei; Adnan Ahmed; Firas Kobeissy; Fuad N Ziyadeh; Yehia Mechref; Ayad A Jaffa
Journal:  PLoS One       Date:  2017-11-09       Impact factor: 3.240

8.  Proteomic analysis to identify candidate biomarkers associated with type 1 diabetes.

Authors:  Valzimeire do Nascimento de Oliveira; Abelardo Barbosa Moreira Lima-Neto; Maurício Fraga van Tilburg; Ana Cristina de Oliveira Monteiro-Moreira; Marina Duarte Pinto Lobo; Davide Rondina; Virgínia Oliveira Fernandes; Ana Paula Dias Rangel Montenegro; Renan Magalhães Montenegro; Maria Izabel Florindo Guedes
Journal:  Diabetes Metab Syndr Obes       Date:  2018-06-13       Impact factor: 3.168

9.  Increased complement activation in human type 1 diabetes pancreata.

Authors:  Patrick Rowe; Clive Wasserfall; Byron Croker; Martha Campbell-Thompson; Alberto Pugliese; Mark Atkinson; Desmond Schatz
Journal:  Diabetes Care       Date:  2013-09-16       Impact factor: 19.112

10.  Proteomic features characterization of Hymenoptera venom allergy.

Authors:  Eliza Matuszewska; Joanna Matysiak; Anna Bręborowicz; Katarzyna Olejniczak; Zdzisława Kycler; Zenon J Kokot; Jan Matysiak
Journal:  Allergy Asthma Clin Immunol       Date:  2019-11-27       Impact factor: 3.406

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