Literature DB >> 14730686

Mining biomarkers in human sera using proteomic tools.

Rulin Zhang1, Lisa Barker, Deborah Pinchev, John Marshall, Michèle Rasamoelisolo, Chris Smith, Peter Kupchak, Inga Kireeva, Leslee Ingratta, George Jackowski.   

Abstract

One of the major difficulties in mining low abundance biomarkers from serum or plasma is due to the fact that a small number of proteins such as albumin, alpha2-macroglobulin, transferrin, and immunoglobulins, may represent as much as 80% of the total serum protein. The large quantity of these proteins makes it difficult to identify low abundance proteins in serum using traditional 2-dimensional electrophoresis. We recently used a combination of multidimensional liquid chromatography and gel electrophoresis coupled to matrix-assisted laser desorption/ionization-quadrupole-time of flight and Ion Trap liquid chromatography-tandem mass spectrometry to identify protein markers in sera of Alzheimer's disease (AD), insulin resistance/type-2 diabetes (IR/D2), and congestive heart failure (CHF) patients. We identified 8 proteins that exhibit higher levels in control sera and 36 proteins that exhibit higher levels in disease sera. For example, haptoglobin and hemoglobin are elevated in sera of AD, IR/D2, and CHF patients. The levels of several other proteins including fibrinogen and its fragments, alpha 2-macroglobulin, transthyretin, pro-platelet basic protein, protease inhibitors clade A and C, as well as proteins involved in the classical complement pathway such as complement C3, C4, and C1 inhibitor, were found to differ between IR/D2 and control sera. The sera levels of proteins, such as the 10 kDa subunit of vitronectin, alpha 1-acid glycoprotein, apolipoprotein B100, fragment of factor H, and histidine-rich glycoprotein were observed to be different between AD and controls. The differences observed in these biomarker candidates were confirmed by Western blot and the enzyme-linked immunosorbent assay. The biological meaning of the proteomic changes in the disease states and the potential use of these changes as diagnostic tools or for therapeutic intervention will be discussed.

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Year:  2004        PMID: 14730686     DOI: 10.1002/pmic.200300495

Source DB:  PubMed          Journal:  Proteomics        ISSN: 1615-9853            Impact factor:   3.984


  53 in total

1.  Association of cerebrospinal fluid Aβ42 with A2M gene in cognitively normal subjects.

Authors:  Steven P Millard; Franziska Lutz; Ge Li; Douglas R Galasko; Martin R Farlow; Joseph F Quinn; Jeffrey A Kaye; James B Leverenz; Debby Tsuang; Chang-En Yu; Elaine R Peskind; Lynn M Bekris
Journal:  Neurobiol Aging       Date:  2013-09-04       Impact factor: 4.673

2.  Plasma proteomic profiles of bovine growth hormone transgenic mice as they age.

Authors:  Juan Ding; Darlene E Berryman; John J Kopchick
Journal:  Transgenic Res       Date:  2011-03-02       Impact factor: 2.788

3.  Assessing candidate serum biomarkers for Alzheimer's disease: a longitudinal study.

Authors:  Matthew Zabel; Matthew Schrag; Claudius Mueller; Weidong Zhou; Andrew Crofton; Floyd Petersen; April Dickson; Wolff M Kirsch
Journal:  J Alzheimers Dis       Date:  2012       Impact factor: 4.472

4.  Plasma Protein Biomarkers Correlated with the Development of Diet-Induced Type 2 Diabetes in Mice.

Authors:  Shigeru Okada; Edward O List; Sudha Sankaran; John J Kopchick
Journal:  Clin Proteomics       Date:  2010-06-01       Impact factor: 3.988

5.  Self-assembly of random co-polymers for selective binding and detection of peptides.

Authors:  Bo Zhao; Mahalia A C Serrano; Jingjing Gao; Jiaming Zhuang; Richard W Vachet; S Thayumanavan
Journal:  Polym Chem       Date:  2017-12-19       Impact factor: 5.582

Review 6.  Biomarkers in Alzheimer's disease analysis by mass spectrometry-based proteomics.

Authors:  Yahui Liu; Hong Qing; Yulin Deng
Journal:  Int J Mol Sci       Date:  2014-05-06       Impact factor: 5.923

Review 7.  Application of "omics" to prion biomarker discovery.

Authors:  Rhiannon L C H Huzarewich; Christine G Siemens; Stephanie A Booth
Journal:  J Biomed Biotechnol       Date:  2010-03-04

8.  Urinary collagen fragments are significantly altered in diabetes: a link to pathophysiology.

Authors:  David M Maahs; Justyna Siwy; Angel Argilés; Marie Cerna; Christian Delles; Anna F Dominiczak; Nathalie Gayrard; Alexander Iphöfer; Lothar Jänsch; George Jerums; Karel Medek; Harald Mischak; Gerjan J Navis; Johannes M Roob; Kasper Rossing; Peter Rossing; Ivan Rychlík; Eric Schiffer; Roland E Schmieder; Thomas C Wascher; Brigitte M Winklhofer-Roob; Lukas U Zimmerli; Petra Zürbig; Janet K Snell-Bergeon
Journal:  PLoS One       Date:  2010-09-28       Impact factor: 3.240

Review 9.  Protein-based biomarkers in cerebrospinal fluid and blood for Alzheimer's disease.

Authors:  Yongyao Fu; Deming Zhao; Lifeng Yang
Journal:  J Mol Neurosci       Date:  2014-06-25       Impact factor: 3.444

10.  Role of MAPK in apolipoprotein CIII-induced apoptosis in INS-1E cells.

Authors:  E-ri M Sol; Tea Sundsten; Peter Bergsten
Journal:  Lipids Health Dis       Date:  2009-02-05       Impact factor: 3.876

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