Literature DB >> 15833045

Peptides in body fluids and tissues as markers of disease.

Imke Schulte1, Harald Tammen, Hartmut Selle, Peter Schulz-Knappe.   

Abstract

The general awareness of the importance of peptides in physiology and pathophysiology has increased strongly over the last few years. With worldwide progress in the analysis of whole genomes, the knowledge base in gene sequence and expression data useful for protein and peptide analysis has drastically increased. The medical need for relevant biomarkers is enormous. This is particularly true for the many types of cancer, but other diseases such as Type 2 diabetes also lack useful and adequate diagnostic markers with high specificity and sensitivity. Despite advances in imaging technologies for early detection of diseases, proteomic and peptidomic multiplex techniques have evolved in recent years. This review focuses on the application of peptidomics technologies to peptides in health and disease. Peptidomics technologies provide new opportunities for the detection of low-molecular-weight proteome biomarkers (peptides) by mass spectrometry. Improvements in peptidomics research are based on separation of peptides and/or proteins by their physicochemical properties in combination with mass spectrometric detection, identification and sophisticated bioinformatics tools for data analysis. Therefore, peptidomics technologies offer an opportunity to discover novel biomarkers for diagnosis and management of disease (e.g., prognosis, treatment decision and monitoring response to therapy).

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Year:  2005        PMID: 15833045     DOI: 10.1586/14737159.5.2.145

Source DB:  PubMed          Journal:  Expert Rev Mol Diagn        ISSN: 1473-7159            Impact factor:   5.225


  7 in total

Review 1.  Current peptidomics: applications, purification, identification, quantification, and functional analysis.

Authors:  David C Dallas; Andres Guerrero; Evan A Parker; Randall C Robinson; Junai Gan; J Bruce German; Daniela Barile; Carlito B Lebrilla
Journal:  Proteomics       Date:  2015-01-21       Impact factor: 3.984

Review 2.  Development of Peptide Biopharmaceuticals in Russia.

Authors:  Vladislav I Deigin; Elena A Poluektova; Allan G Beniashvili; Sergey A Kozin; Yuri M Poluektov
Journal:  Pharmaceutics       Date:  2022-03-27       Impact factor: 6.525

3.  To Assist Oncologists: An Efficient Machine Learning-Based Approach for Anti-Cancer Peptides Classification.

Authors:  Majed Alsanea; Abdulsalam S Dukyil; Bushra Riaz; Farhan Alebeisat; Muhammad Islam; Shabana Habib
Journal:  Sensors (Basel)       Date:  2022-05-25       Impact factor: 3.847

4.  CancerPDF: A repository of cancer-associated peptidome found in human biofluids.

Authors:  Sherry Bhalla; Ruchi Verma; Harpreet Kaur; Rajesh Kumar; Salman Sadullah Usmani; Suresh Sharma; Gajendra P S Raghava
Journal:  Sci Rep       Date:  2017-05-04       Impact factor: 4.379

Review 5.  Human Antimicrobial Peptides in Bodily Fluids: Current Knowledge and Therapeutic Perspectives in the Postantibiotic Era.

Authors:  Paulo Bastos; Fábio Trindade; João da Costa; Rita Ferreira; Rui Vitorino
Journal:  Med Res Rev       Date:  2017-01-17       Impact factor: 12.944

6.  Peptidomics Analysis Discloses That Novel Bioactive Peptides Participate in Necrotizing Enterocolitis in a Rat Model.

Authors:  Yiwen Liu; Changlin Wang; Renqiang Yu; Jianfeng Fan; Weilai Jin; Yuting Zhu; Yingzuo Shi; Yulei Jing; Xiaolei Wang; Zhengying Li; Jian Zhou; Le Zhang
Journal:  Biomed Res Int       Date:  2020-12-31       Impact factor: 3.411

7.  Serum dihydroxyacetone kinase peptide m/z 520.3 as predictor of disease severity in patients with compensated chronic hepatitis B.

Authors:  Ming-Yi Xu; Xiao-Fang Jia; Ying Qu; Rui-Dan Zheng; Zheng-Hong Yuan; Hong-Lei Weng; Steven Dooley; Xing-Peng Wang; Li-Jun Zhang; Lun-Gen Lu
Journal:  J Transl Med       Date:  2013-09-27       Impact factor: 5.531

  7 in total

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