Circulating bacterial-derived DNA fragment level is a strong predictor of cardiovascular disease in peritoneal dialysis patients

PLoS One. 2015 May 26;10(5):e0125162. doi: 10.1371/journal.pone.0125162. eCollection 2015.

Abstract

Background: Circulating bacterial DNA fragment is related to systemic inflammatory state in peritoneal dialysis (PD) patients. We hypothesize that plasma bacterial DNA level predicts cardiovascular events in new PD patients.

Methods: We measured plasma bacterial DNA level in 191 new PD patients, who were then followed for at least a year for the development of cardiovascular event, hospitalization, and patient survival.

Results: The average age was 59.3 ± 11.8 years; plasma bacterial DNA level 34.9 ± 1.5 cycles; average follow up 23.2 ± 9.7 months. At 24 months, the event-free survival was 86.1%, 69.8%, 55.4% and 30.8% for plasma bacterial DNA level quartiles I, II, III and IV, respectively (p < 0.0001). After adjusting for confounders, plasma bacterial DNA level, baseline residual renal function and malnutrition-inflammation score were independent predictors of composite cardiovascular end-point; each doubling in plasma bacterial DNA level confers a 26.9% (95% confidence interval, 13.0 - 42.5%) excess in risk. Plasma bacterial DNA also correlated with the number of hospital admission (r = -0.379, p < 0.0001) and duration of hospitalization for cardiovascular reasons (r = -0.386, p < 0.0001). Plasma bacterial DNA level did not correlate with baseline arterial pulse wave velocity (PWV), but with the change in carotid-radial PWV in one year (r = -0.238, p = 0.005).

Conclusions: Circulating bacterial DNA fragment level is a strong predictor of cardiovascular event, need of hospitalization, as well as the progressive change in arterial stiffness in new PD patients.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Arteries / physiopathology
  • Biomarkers / blood
  • Cardiovascular Diseases / blood*
  • DNA, Bacterial / blood*
  • Demography
  • Disease-Free Survival
  • Endpoint Determination
  • Female
  • Hospitalization
  • Humans
  • Inflammation Mediators / metabolism
  • Kaplan-Meier Estimate
  • Male
  • Middle Aged
  • Peritoneal Dialysis*
  • Peritonitis / blood
  • Proportional Hazards Models
  • Pulse Wave Analysis

Substances

  • Biomarkers
  • DNA, Bacterial
  • Inflammation Mediators

Grants and funding

This study was supported in part by the Baxter Extramural Grant program, the Richard Yu Chinese University of Hong Kong (CUHK) PD Research Fund, and CUHK research account 6901031. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.