Literature DB >> 28717962

Comparative proteome analysis for identification of differentially abundant proteins in SIDS.

Noha El-Kashef1,2, Iva Gomes1, Katja Mercer-Chalmers-Bender1, Peter M Schneider1, Markus A Rothschild1, Martin Juebner3.   

Abstract

Sudden infant death syndrome (SIDS) remains one of the most common causes of post-neonatal infant mortality in developed countries. Its pathogenesis is still poorly understood. The goal of the present study was to characterize changes in the proteome of SIDS compared to age-matched controls in heart and medulla tissues as well as in blood samples using two complementary quantitative proteomic techniques: 2D-DIGE and iTRAQ aiming to provide new insights into the mechanism of SIDS and to find diagnostic protein patterns. Our results revealed collectively 122 modulated proteins in SIDS of which 83 proteins were up-regulated. They are involved in metabolic processes, cellular processes, and localization. Gene expression patterns of selected proteins were further validated by reverse transcription quantitative real-time PCR (RT-qPCR). The role of hypoxia, inflammation, and apoptosis in SIDS was demonstrated by exploring some candidate proteins especially APOA1, GAPDH, S100B, zyxin, and complement component C4A. According to the results of this study, these proteins might be used as diagnostic biomarkers for SIDS. All of them were up-regulated in SIDS except for C4A that was down-regulated.

Entities:  

Keywords:  2D-DIGE; APOA1; C4A; SIDS; iTRAQ

Mesh:

Substances:

Year:  2017        PMID: 28717962     DOI: 10.1007/s00414-017-1632-4

Source DB:  PubMed          Journal:  Int J Legal Med        ISSN: 0937-9827            Impact factor:   2.686


  82 in total

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2.  Investigating sample pooling strategies for DIGE experiments to address biological variability.

Authors:  Natasha A Karp; Kathryn S Lilley
Journal:  Proteomics       Date:  2009-01       Impact factor: 3.984

3.  The complement component C4 in sudden infant death.

Authors:  S H Opdal; A Vege; A K Stave; T O Rognum
Journal:  Eur J Pediatr       Date:  1999-03       Impact factor: 3.183

4.  Association of sudden infant death syndrome with grossly deranged iron metabolism and nitric oxide overload.

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Journal:  Med Hypotheses       Date:  2000-01       Impact factor: 1.538

5.  Intra- and interspecific variation in primate gene expression patterns.

Authors:  Wolfgang Enard; Philipp Khaitovich; Joachim Klose; Sebastian Zöllner; Florian Heissig; Patrick Giavalisco; Kay Nieselt-Struwe; Elaine Muchmore; Ajit Varki; Rivka Ravid; Gaby M Doxiadis; Ronald E Bontrop; Svante Pääbo
Journal:  Science       Date:  2002-04-12       Impact factor: 47.728

6.  Single-nucleotide variations in the genes encoding the mitochondrial Hsp60/Hsp10 chaperone system and their disease-causing potential.

Authors:  Peter Bross; Zhijie Li; Jakob Hansen; Jens Jacob Hansen; Marit Nyholm Nielsen; Thomas Juhl Corydon; Costa Georgopoulos; Debbie Ang; Jytte Banner Lundemose; Klary Niezen-Koning; Hans Eiberg; Huanming Yang; Steen Kølvraa; Lars Bolund; Niels Gregersen
Journal:  J Hum Genet       Date:  2006-10-27       Impact factor: 3.172

7.  Candidate gene variants of the immune system and sudden infant death syndrome.

Authors:  Delnaz Fard; Katharina Läer; Thomas Rothämel; Peter Schürmann; Matthias Arnold; Marta Cohen; Mechtild Vennemann; Heidi Pfeiffer; Thomas Bajanowski; Arne Pfeufer; Thilo Dörk; Michael Klintschar
Journal:  Int J Legal Med       Date:  2016-03-14       Impact factor: 2.686

8.  Sudden infant death syndrome: no significant expression of heat-shock proteins (HSP27, HSP70).

Authors:  Elke Doberentz; Sarah Führing; Burkhard Madea
Journal:  Forensic Sci Med Pathol       Date:  2015-12-12       Impact factor: 2.007

9.  Biomarkers of Brain Damage: S100B and NSE Concentrations in Cerebrospinal Fluid--A Normative Study.

Authors:  Lenka Hajduková; Ondřej Sobek; Darina Prchalová; Zuzana Bílková; Martina Koudelková; Jiřina Lukášková; Inka Matuchová
Journal:  Biomed Res Int       Date:  2015-09-01       Impact factor: 3.411

10.  Accurate normalization of real-time quantitative RT-PCR data by geometric averaging of multiple internal control genes.

Authors:  Jo Vandesompele; Katleen De Preter; Filip Pattyn; Bruce Poppe; Nadine Van Roy; Anne De Paepe; Frank Speleman
Journal:  Genome Biol       Date:  2002-06-18       Impact factor: 13.583

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  3 in total

1.  Maternal serum proteomic profiles of pregnant women with type 1 diabetes.

Authors:  Marzena Gajecka; Ewa Wender-Ozegowska; Paweł Gutaj; Jan Matysiak; Eliza Matuszewska; Katarzyna Jaskiewicz; Dorota Kamińska; Agata Światły-Błaszkiewicz; Tomasz Szczapa; Anastasia Kalantarova
Journal:  Sci Rep       Date:  2022-05-24       Impact factor: 4.996

Review 2.  Sudden Infant Death Syndrome: Beyond Risk Factors.

Authors:  Serafina Perrone; Chiara Lembo; Sabrina Moretti; Giovanni Prezioso; Giuseppe Buonocore; Giorgia Toscani; Francesca Marinelli; Francesco Nonnis-Marzano; Susanna Esposito
Journal:  Life (Basel)       Date:  2021-02-26

3.  Proteomic differences in hippocampus and cortex of sudden unexplained death in childhood.

Authors:  Dominique F Leitner; Christopher William; Arline Faustin; Manor Askenazi; Evgeny Kanshin; Matija Snuderl; Declan McGuone; Thomas Wisniewski; Beatrix Ueberheide; Laura Gould; Orrin Devinsky
Journal:  Acta Neuropathol       Date:  2022-03-25       Impact factor: 15.887

  3 in total

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