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Method development and characterisation of the low-molecular-weight peptidome of human wound fluids

van der Plas, Mariena J.A. LU ; Cai, Jun ; Petrlova, Jitka LU ; Saleh, Karim LU ; Kjellström, Sven LU and Schmidtchen, Artur LU (2021) In eLife 10.
Abstract

The normal wound healing process is characterised by proteolytic events, whereas infection results in dysfunctional activations by endogenous and bacterial proteases. Peptides, downstream reporters of these proteolytic actions, could therefore serve as a promising tool for diagnosis of wounds. Using mass-spectrometry analyses, we here for the first time characterise the peptidome of human wound fluids. Sterile post-surgical wound fluids were found to contain a high degree of peptides in comparison to human plasma. Analyses of the peptidome from uninfected healing wounds and Staphylococcus aureus-infected wounds identify unique peptide patterns of various proteins, including coagulation and complement factors, proteases, and... (More)

The normal wound healing process is characterised by proteolytic events, whereas infection results in dysfunctional activations by endogenous and bacterial proteases. Peptides, downstream reporters of these proteolytic actions, could therefore serve as a promising tool for diagnosis of wounds. Using mass-spectrometry analyses, we here for the first time characterise the peptidome of human wound fluids. Sterile post-surgical wound fluids were found to contain a high degree of peptides in comparison to human plasma. Analyses of the peptidome from uninfected healing wounds and Staphylococcus aureus-infected wounds identify unique peptide patterns of various proteins, including coagulation and complement factors, proteases, and antiproteinases. Together, the work defines a workflow for analysis of peptides derived from wound fluids and demonstrates a proof-of-concept that such fluids can be used for analysis of qualitative differences of peptide patterns from larger patient cohorts, providing potential biomarkers for wound healing and infection.

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organization
publishing date
type
Contribution to journal
publication status
published
subject
in
eLife
volume
10
article number
e66876
publisher
eLife Sciences Publications LTD.
external identifiers
  • pmid:34227939
  • scopus:85110990648
ISSN
2050-084X
DOI
10.7554/eLife.66876
language
English
LU publication?
yes
id
c27700f5-ca91-4abb-b5a7-dcc63d25edae
date added to LUP
2021-09-14 16:20:08
date last changed
2021-09-15 04:58:49
@article{c27700f5-ca91-4abb-b5a7-dcc63d25edae,
  abstract     = {<p>The normal wound healing process is characterised by proteolytic events, whereas infection results in dysfunctional activations by endogenous and bacterial proteases. Peptides, downstream reporters of these proteolytic actions, could therefore serve as a promising tool for diagnosis of wounds. Using mass-spectrometry analyses, we here for the first time characterise the peptidome of human wound fluids. Sterile post-surgical wound fluids were found to contain a high degree of peptides in comparison to human plasma. Analyses of the peptidome from uninfected healing wounds and Staphylococcus aureus-infected wounds identify unique peptide patterns of various proteins, including coagulation and complement factors, proteases, and antiproteinases. Together, the work defines a workflow for analysis of peptides derived from wound fluids and demonstrates a proof-of-concept that such fluids can be used for analysis of qualitative differences of peptide patterns from larger patient cohorts, providing potential biomarkers for wound healing and infection.</p>},
  author       = {van der Plas, Mariena J.A. and Cai, Jun and Petrlova, Jitka and Saleh, Karim and Kjellström, Sven and Schmidtchen, Artur},
  issn         = {2050-084X},
  language     = {eng},
  publisher    = {eLife Sciences Publications LTD.},
  series       = {eLife},
  title        = {Method development and characterisation of the low-molecular-weight peptidome of human wound fluids},
  url          = {http://dx.doi.org/10.7554/eLife.66876},
  doi          = {10.7554/eLife.66876},
  volume       = {10},
  year         = {2021},
}