Damage-associated molecular patterns in bacteraemic infection, including a comparative analysis with bacterial DNA, a

Helena Alpkvist1,2, Ingrid Ziegler3, Paula Mölling4

  • 1Department of Medicine Huddinge, Unit of Infectious Diseases, Karolinska Institutet, Stockholm, Sweden.

Scientific Reports
|October 8, 2024
PubMed

Insights

Nuclear DNA (nDNA) shows promise as a sepsis biomarker, outperforming other damage-associated molecular patterns (DAMPs) in detecting sepsis and predicting negative outcomes. Elevated nDNA levels indicate sepsis severity and persist in patients with poor outcomes.

Area of Science:

  • Sepsis pathogenesis and biomarker discovery
  • Infectious disease immunology
  • Clinical diagnostics

Background:

  • Sepsis is triggered by damage-associated molecular patterns (DAMPs) and pathogen-associated molecular patterns (PAMPs), but simultaneous study is rare.
  • Understanding DAMP dynamics in bacteraemic infection is crucial for assessing disease severity and patient outcomes.

Purpose of the Study:

  • To investigate the dynamics of four DAMPs (nDNA, mtDNA, HSP90α, HMGB1) in patients with bacteraemic infection.
  • To compare the diagnostic and prognostic capabilities of DAMPs against a PAMP (16S rDNA) and other biomarkers.
  • To correlate DAMP levels with sepsis severity and patient outcomes.

Main Methods:

  • Prospective study of 83 adult patients with community-onset bacteraemic infection (Streptococcus pneumoniae, Staphylococcus aureus, Escherichia coli).
  • Analysis of blood samples for nDNA, mtDNA, HSP90α, and HMGB1 on multiple hospital days.
  • Comparison of DAMP performance against 16S rDNA, CRP, IL-6, IL-8, and IL-10 for sepsis and negative outcome prediction.

Main Results:

  • Nuclear DNA (nDNA) demonstrated superior diagnostic accuracy (ROC curves 0.78 for sepsis, 0.76 for negative outcome) compared to other DAMPs and biomarkers.
  • High day 1-2 concentrations of both nDNA and 16S rDNA were independently associated with sepsis.
  • Elevated nDNA levels on day 1-2 were independently linked to negative outcomes and persisted in patients with poor prognosis.

Conclusions:

  • Nuclear DNA (nDNA) is a promising biomarker for sepsis detection and outcome prediction, outperforming other DAMPs.
  • Both nDNA (DAMP) and 16S rDNA (PAMP) are independently associated with sepsis, with nDNA also predicting negative outcomes.
  • Persistent elevation of nDNA in patients with negative outcomes highlights its role in sepsis pathogenesis and clinical utility.

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