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

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

49 Scopus citations

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.

Original languageEnglish
Article number2
JournalProteomes
Volume7
Issue number1
DOIs
StatePublished - 1 Mar 2019
Externally publishedYes

Keywords

  • Clinical proteomics
  • Data analysis
  • Human gut microbiome
  • Mass spectrometry
  • Metaproteome
  • Multi-omics
  • Multidrug-resistant Enterobacteriaceae
  • Proteomics

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