Format

Send to

Choose Destination
J Infect Dis. 2018 Sep 8;218(8):1191-1199. doi: 10.1093/infdis/jiy306.

Quantification of Torque Teno Virus Viremia as a Prospective Biomarker for Infectious Disease in Kidney Allograft Recipients.

Author information

1
Division of Nephrology and Dialysis, Department of Medicine III, Medical University of Vienna, Austria.
2
Department of Virology, Medical University of Vienna, Austria.
3
Division of Infectious Diseases, Department of Medicine I, Medical University of Vienna, Austria.
4
Division of Transplant Surgery, Department of Surgery, Medical University of Vienna, Austria.
5
Department of Emergency Medicine, Medical University of Vienna, Austria.

Abstract

Background:

Drug-induced immunosuppression following kidney transplantation is crucial to prevent allograft rejection, but increases risk for infectious disease. Tailoring of drug dosing to prevent both rejection and infection is greatly desirable. The apathogenic and ubiquitous torque teno virus (TTV) reflects immunocompetence of the host and might be a potential candidate for immunologic monitoring.

Methods:

To assess TTV as an infection biomarker, virus load was prospectively quantified in peripheral blood of 169 consecutive renal allograft recipients at the Medical University Vienna.

Results:

Patients with infection showed higher TTV levels compared to patients without infection (4.2 × 108 copies/mL [interquartile range, IQR, 2.7 × 107-1.9 × 109] vs 2.9 × 107 [IQR 1.0 × 106-7.2 × 108]; P = .006). Differences in TTV load became evident almost 3 months before infection (median 77 days, IQR 19-98). Each log level of TTV copies/mL increased the odds ratio for infection by 23% (95% confidence interval 1.04-1.45; P = .014). TTV >3.1 × 109 copies/mL corresponded to 90% sensitivity to predict infections. Logistic regression demonstrated independent association between TTV levels and infection.

Conclusions:

TTV quantification predicts infection after kidney transplantation and might be a potential tool to tailor immunosuppressive drug therapy.

PMID:
30007341
DOI:
10.1093/infdis/jiy306

Supplemental Content

Full text links

Icon for Silverchair Information Systems
Loading ...
Support Center