Literature DB >> 26721442

Protein species as diagnostic markers.

Pascal Steffen1, Marcel Kwiatkowski2, Wesley D Robertson3, Arash Zarrine-Afsar4, Diana Deterra5, Verena Richter6, Hartmut Schlüter7.   

Abstract

Many diseases are associated with protein species perturbations. A prominent example of an established diagnostic marker is the glycated protein species of hemoglobin, termed HbA1c. HbA1c concentration is increased in the blood of diabetes mellitus patients due to their poor control of blood glucose levels resulting in an increased non-enzymatic glycosylation of hemoglobin producing HbA1c. This important diagnostic marker is routinely measured in the blood of diabetes patients. As in the case of HbA1c, protein species can mirror pathophysiological events. Shifts in the levels of protein species can be associated with or even be responsible for disease making them well suited as diagnostic markers. However, only a few protein species are currently used as diagnostic markers in routine clinical chemistry laboratories, despite being widely established in clinical proteomics research. This review provides an overview of the biochemical characteristics associated with protein species as well as examples of pathophysiological mechanisms, which cause modifications in the protein species composition, thereby emphasizing the importance of screening for protein markers at the species level. Further, we highlight techniques, which are currently utilized for investigating protein species markers in clinical research. BIOLOGICAL SIGNIFICANCE: The success rate of FDA approved diagnostic protein markers until today is very low compared to the number of published candidate disease markers. It is hypothesized that one important reason is the gene-centric view which is still followed in clinical proteomics: In many investigations proteins are still digested in small peptides thus making it nearly impossible to discriminate between healthy proteins and pathologic proteins causing diseases. Thus this review is focusing on the biochemistry and patho-biochemistry of proteins, is highlighting the need for screening for disease markers on the protein species level and is giving an overview about available techniques.
Copyright © 2015 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Clinical chemistry; Mass spectrometry; Protein diagnostics; Protein species

Mesh:

Substances:

Year:  2015        PMID: 26721442     DOI: 10.1016/j.jprot.2015.12.015

Source DB:  PubMed          Journal:  J Proteomics        ISSN: 1874-3919            Impact factor:   4.044


  7 in total

Review 1.  A systems approach to clinical oncology uses deep phenotyping to deliver personalized care.

Authors:  James T Yurkovich; Qiang Tian; Nathan D Price; Leroy Hood
Journal:  Nat Rev Clin Oncol       Date:  2019-10-16       Impact factor: 66.675

2.  Single-Color Barcoding for Multiplexed Hydrogel Bead-Based Immunoassays.

Authors:  Tobias A Weber; Lukas Metzler; Patrick L Fosso Tene; Thomas Brandstetter; Jürgen Rühe
Journal:  ACS Appl Mater Interfaces       Date:  2022-05-26       Impact factor: 10.383

Review 3.  Top-Down Proteomics: Ready for Prime Time?

Authors:  Bifan Chen; Kyle A Brown; Ziqing Lin; Ying Ge
Journal:  Anal Chem       Date:  2017-12-15       Impact factor: 6.986

Review 4.  Use of Proteomics in the Study of Mastitis in Ewes.

Authors:  Angeliki I Katsafadou; Natalia G C Vasileiou; George C Fthenakis
Journal:  Pathogens       Date:  2019-08-29

5.  Thermal Dissociation Assay for Time-Resolved Fluorescence Detection of Protein Post-Translational Modifications.

Authors:  Ville Eskonen; Natalia Tong-Ochoa; Salla Valtonen; Kari Kopra; Harri Härmä
Journal:  ACS Omega       Date:  2019-09-24

6.  Not just fat: investigating the proteome of cetacean blubber tissue.

Authors:  Joanna L Kershaw; Catherine H Botting; Andrew Brownlow; Ailsa J Hall
Journal:  Conserv Physiol       Date:  2018-02-16       Impact factor: 3.079

7.  Quantitative Assessment of Liver Steatosis and Affected Pathways with Molecular Imaging and Proteomic Profiling.

Authors:  Yasuyo Urasaki; Chi Zhang; Ji-Xin Cheng; Thuc T Le
Journal:  Sci Rep       Date:  2018-02-26       Impact factor: 4.379

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.