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Challenges in clinical metaproteomics highlighted by the analysis of acute leukemia patients with gut colonization by multidrug-resistant enterobacteriaceae

  • Julia Rechenberger
  • , Patroklos Samaras
  • , Anna Jarzab
  • , Juergen Behr
  • , Martin Frejno
  • , Ana Djukovic
  • , Jaime Sanz
  • , Eva M. González-Barberá
  • , Miguel Salavert
  • , Jose Luis López-Hontangas
  • , Karina B. Xavier
  • , Laurent Debrauwer
  • , Jean Marc Rolain
  • , Miguel Sanz
  • , Marc Garcia-Garcera
  • , Mathias Wilhelm*
  • , Carles Ubeda
  • , Bernhard Kuster
  • *Korrespondierende/r Autor/-in für diese Arbeit
  • Technische Universität München
  • Centro Superior de Investigación en Salud Pública
  • Hospital Universitari i Politècnic La Fe
  • Carlos III Health Institute
  • Instituto Gulbenkian de Ciência
  • Université Fédérale Toulouse Midi-Pyrénées
  • Microbes, Evolution, Phylogeny and Infections
  • Universität Lausanne
  • Biomedical Research Networking Center for Epidemiology and Public Health

Publikation: Beitrag in FachzeitschriftArtikelBegutachtung

55 Zitate (Scopus)

Abstract

The microbiome has a strong impact on human health and disease and is, therefore, increasingly studied in a clinical context. Metaproteomics is also attracting considerable attention, and such data can be efficiently generated today owing to improvements in mass spectrometry-based proteomics. As we will discuss in this study, there are still major challenges notably in data analysis that need to be overcome. Here, we analyzed 212 fecal samples from 56 hospitalized acute leukemia patients with multidrug-resistant Enterobactericeae (MRE) gut colonization using metagenomics and metaproteomics. This is one of the largest clinical metaproteomic studies to date, and the first metaproteomic study addressing the gut microbiome in MRE colonized acute leukemia patients. Based on this substantial data set, we discuss major current limitations in clinical metaproteomic data analysis to provide guidance to researchers in the field. Notably, the results show that public metagenome databases are incomplete and that sample-specific metagenomes improve results. Furthermore, biological variation is tremendous which challenges clinical study designs and argues that longitudinal measurements of individual patients are a valuable future addition to the analysis of patient cohorts.

OriginalspracheEnglisch
Aufsatznummer2
FachzeitschriftProteomes
Jahrgang7
Ausgabenummer1
DOIs
PublikationsstatusVeröffentlicht - 1 März 2019
Extern publiziertJa

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