Literature DB >> 31309511

Using Proteomics to Identify Inflammation During Urinary Tract Infection.

Yanbao Yu1, Rembert Pieper2.   

Abstract

Urinary tract infections (UTIs) are one of the most common bacterial infections. Conventional approaches to diagnose these infections rely on microbial urine culture, urine sediment microscopy and basic molecular urinalysis tests, in combination with assessments of patient symptoms that are indicative of UTI. The last decade has seen a more widespread clinical use of standardized MALDI-TOF methods to identify UTI-causing microbial agents. Shotgun proteomics methods to determine the extent of inflammation and types of immune cell effectors in urine have not become part of routine clinical tests. However, such methods are useful to investigate UTI pathogenesis, identify difficult-to-culture pathogens and understand antimicrobial effector mechanisms. The present chapter describes these approaches in order to gain quantitative and qualitative insights into inflammation and immune responses in patients with UTI and simultaneously profile the causative agents. The methods are also applicable to examine catheter-associated UTIs and vaginal infections from urine samples. Protocols provided here pertain to direct analyses of clinical specimens including urine sediments and urethral catheter biofilms.

Entities:  

Keywords:  FASP; Inflammation; LC-MS/MS; Mass spectrometry; Metaproteomics; Pathogen identification; Proteomics; Urinary tract infection; Urine

Mesh:

Year:  2019        PMID: 31309511     DOI: 10.1007/978-1-4939-9601-8_22

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  4 in total

1.  Lab-on-a-Filter Techniques for Economical, Effective, and Flexible Proteome Analysis.

Authors:  Yi-Han Lin; Rodrigo Vargas Eguez; Isha Vashee; Yanbao Yu
Journal:  Methods Mol Biol       Date:  2021

2.  Influenza Causes MLKL-Driven Cardiac Proteome Remodeling During Convalescence.

Authors:  Yi-Han Lin; Maryann P Platt; Ryan P Gilley; David Brown; Peter H Dube; Yanbao Yu; Norberto Gonzalez-Juarbe
Journal:  Circ Res       Date:  2021-01-27       Impact factor: 17.367

3.  DIA proteomics analysis through serum profiles reveals the significant proteins as candidate biomarkers in women with PCOS.

Authors:  Ying Yu; Panli Tan; Zhenchao Zhuang; Zhejiong Wang; Linchao Zhu; Ruyi Qiu; Huaxi Xu
Journal:  BMC Med Genomics       Date:  2021-05-09       Impact factor: 3.063

4.  Global Proteome and Phosphoproteome Characterization of Sepsis-induced Kidney Injury.

Authors:  Yi-Han Lin; Maryann P Platt; Haiyan Fu; Yuan Gui; Yanlin Wang; Norberto Gonzalez-Juarbe; Dong Zhou; Yanbao Yu
Journal:  Mol Cell Proteomics       Date:  2020-09-22       Impact factor: 7.381

  4 in total

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