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Sökning: WFRF:(Kjellström Sven) > (2020-2024) > Bioinformatic Analy...

Bioinformatic Analysis of the Wound Peptidome Reveals Potential Biomarkers and Antimicrobial Peptides

Hartman, Erik (författare)
Skåne University Hospital
Wallblom, Karl (författare)
Lund University,Lunds universitet,Dermatologi och venereologi, Lund,Sektion III,Institutionen för kliniska vetenskaper, Lund,Medicinska fakulteten,Dermatology and Venereology (Lund),Section III,Department of Clinical Sciences, Lund,Faculty of Medicine
van der Plas, Mariena J.A. (författare)
Lund University,Lunds universitet,Dermatologi och venereologi, Lund,Sektion III,Institutionen för kliniska vetenskaper, Lund,Medicinska fakulteten,Schmidtchen lab,Forskargrupper vid Lunds universitet,Dermatology and Venereology (Lund),Section III,Department of Clinical Sciences, Lund,Faculty of Medicine,Schmidtchen Lab,Lund University Research Groups,University of Copenhagen
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Petrlova, Jitka (författare)
Lund University,Lunds universitet,Dermatologi och venereologi, Lund,Sektion III,Institutionen för kliniska vetenskaper, Lund,Medicinska fakulteten,Schmidtchen lab,Forskargrupper vid Lunds universitet,Dermatology and Venereology (Lund),Section III,Department of Clinical Sciences, Lund,Faculty of Medicine,Schmidtchen Lab,Lund University Research Groups
Cai, Jun (författare)
University of Copenhagen
Saleh, Karim (författare)
Lund University,Lunds universitet,Dermatologi och venereologi, Lund,Sektion III,Institutionen för kliniska vetenskaper, Lund,Medicinska fakulteten,Schmidtchen lab,Forskargrupper vid Lunds universitet,Dermatology and Venereology (Lund),Section III,Department of Clinical Sciences, Lund,Faculty of Medicine,Schmidtchen Lab,Lund University Research Groups,Skåne University Hospital
Kjellström, Sven (författare)
Lund University,Lunds universitet,Masspektrometri,Sektion V,Institutionen för kliniska vetenskaper, Lund,Medicinska fakulteten,BioMS,Forskargrupper vid Lunds universitet,Mass Spectrometry,Section V,Department of Clinical Sciences, Lund,Faculty of Medicine,Lund University Research Groups
Schmidtchen, Artur (författare)
Lund University,Lunds universitet,Dermatologi och venereologi, Lund,Sektion III,Institutionen för kliniska vetenskaper, Lund,Medicinska fakulteten,Dermatology and Venereology (Lund),Section III,Department of Clinical Sciences, Lund,Faculty of Medicine,Skåne University Hospital,University of Copenhagen
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 (creator_code:org_t)
2021-02-03
2021
Engelska.
Ingår i: Frontiers in Immunology. - : Frontiers Media SA. - 1664-3224. ; 11
  • Tidskriftsartikel (refereegranskat)
Abstract Ämnesord
Stäng  
  • Wound infection is a common and serious medical condition with an unmet need for improved diagnostic tools. A peptidomic approach, aided by mass spectrometry and bioinformatics, could provide novel means of identifying new peptide biomarkers for wound healing and infection assessment. Wound fluid is suitable for peptidomic analysis since it is both intimately tied to the wound environment and is readily available. In this study we investigate the peptidomes of wound fluids derived from surgical drainages following mastectomy and from wound dressings following facial skin grafting. By applying sorting algorithms and open source third party software to peptidomic label free tandem mass spectrometry data we provide an unbiased general methodology for analyzing and differentiating between peptidomes. We show that the wound fluid peptidomes of patients are highly individualized. However, differences emerge when grouping the patients depending on wound type. Furthermore, the abundance of peptides originating from documented antimicrobial regions of hemoglobin in infected wounds may contribute to an antimicrobial wound environment, as determined by in silico analysis. We validate our findings by compiling literature on peptide biomarkers and peptides of physiological significance and cross checking the results against our dataset, demonstrating that well-documented peptides of immunological significance are abundant in infected wounds, and originate from certain distinct regions in proteins such as hemoglobin and fibrinogen. Ultimately, we have demonstrated the power using sorting algorithms and open source software to help yield insights and visualize peptidomic data.

Ämnesord

MEDICIN OCH HÄLSOVETENSKAP  -- Klinisk medicin -- Dermatologi och venereologi (hsv//swe)
MEDICAL AND HEALTH SCIENCES  -- Clinical Medicine -- Dermatology and Venereal Diseases (hsv//eng)
MEDICIN OCH HÄLSOVETENSKAP  -- Klinisk medicin -- Infektionsmedicin (hsv//swe)
MEDICAL AND HEALTH SCIENCES  -- Clinical Medicine -- Infectious Medicine (hsv//eng)

Nyckelord

antimicrobial peptide
bioinformatics
biomarkers
hemoglobin
mass spectrometry
peptidomics
wound healing
wound infection

Publikations- och innehållstyp

art (ämneskategori)
ref (ämneskategori)

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