Detection of Zika virus in urine from randomly tested individuals in Mirassol, Brazil

Infection. 2022 Feb;50(1):149-156. doi: 10.1007/s15010-021-01667-w. Epub 2021 Jul 29.

Abstract

Purpose: Studies show that around 80% of Zika virus (ZIKV) infections are asymptomatic. The present study tested urine samples from volunteers, unsuspected of arboviral infection, which attended an emergency care unit (ECU) in Mirassol, Brazil, from March 2018 to April 2019.

Methods: The volunteers were divided into two groups. The first group was composed of outpatients who were not suspected to have an arbovirus infection. This first group was subdivided into two subgroups: outpatients with and without arbovirus-like symptoms. The second group consisted of companions of outpatients treated at the ECU. The second group was also subdivided into two subgroups: totally asymptomatic individuals and those who had arbovirus-like symptoms. RNA was extracted from urine samples, followed by RT-qPCR for ZIKV.

Results: We found that 11% (79/697) of the samples tested positive for ZIKV-RNA. Among the ZIKV-RNA-positive individuals, 16.5% (13/79) were companions, of which 61.5% (8/13) were totally asymptomatic and 38.5% (5/13) reported symptoms that could be suggestive of arbovirus infection. In addition, 83.5% (66/79) of the ZIKV-RNA-positive individuals were outpatients without a clinical diagnosis of arbovirus. Of these undiagnosed ZIKV-RNA-positive outpatients, 47% (31/66) had no arbovirus-related symptoms.

Conclusion: Our study shows the effectiveness of urine as a non-invasive sample to detect the incidence of ZIKV infection. We also highlight the importance of ZIKV molecular diagnosis to aid public health surveillance and prevention of congenital Zika syndrome and other ZIKV-associated diseases.

Keywords: Asymptomatic ZIKV infection; Brazil; Incidence; State of São Paulo; Urine; Zika virus.

MeSH terms

  • Brazil / epidemiology
  • Humans
  • Public Health Surveillance
  • Zika Virus Infection* / diagnosis
  • Zika Virus Infection* / epidemiology
  • Zika Virus* / genetics