Skip to main content
Journal of Clinical Microbiology logoLink to Journal of Clinical Microbiology
letter
. 2017 Oct 24;55(11):3294–3296. doi: 10.1128/JCM.01113-17

Urine as Sample Type for Molecular Diagnosis of Natural Yellow Fever Virus Infections

Chantal B E M Reusken a,, Marjolein Knoester b, Corine GeurtsvanKessel a, Marion Koopmans a,c, Daan G Knapen d, Wouter F W Bierman d, Suzan Pas a
Editor: Alexander J McAdame
PMCID: PMC5654914  PMID: 28855304

LETTER

Yellow fever virus (YFV; genus Flavivirus) is a reemerging threat to public health in Africa and South America. Despite the availability of an effective, safe, and affordable vaccine (1), YFV has caused multiple outbreaks in recent years. Recent outbreaks included urban yellow fever (YF) in Angola and the Democratic Republic of Congo in 2015 to 2016 and a significant increase in sylvatic YF cases in South America since December 2016. A total of 792 confirmed cases, among which there were 435 deaths, occurred from December 2016 to 31 May 2017 in Brazil alone (2, 3). This recent increased activity of YFV in South America is reflected in an unusual number (four) of reported cases in European Union travelers since August 2016, which included a patient returning to the Netherlands from Surinam in March 2017 (4, 5).

Laboratory diagnosis of YFV infection relies heavily on molecular testing, as accurate diagnosis based on serology is complicated by cross-reactivity with other flaviviruses (such as dengue virus and Zika virus) and the inability to discriminate between naturally acquired immunity and vaccine-acquired immunity. International guidelines indicate whole blood and serum as specimens of choice for reverse transcription-PCR (RT-PCR) detection with a typical detection window of 1 to 7 days after the onset of symptoms (6, 7). Increasing amounts of evidence point at other bodily fluids such as saliva, semen, or urine as complementary or alternative sample types for some flaviviruses (816). Although the additional value of urine as a diagnostic sample type for detection of YFV RNA has been demonstrated for vaccinees with suspected adverse events upon vaccination, no data have been reported yet on the detection of YFV in urine from naturally infected cases (17).

To explore the strong suggestion that urine can be a valuable sample type for YFV diagnostics, we investigated the presence of YFV RNA in a longitudinal set of urine samples from the aforementioned Dutch YF patient (5). Total nucleic acids were extracted (MagnaPureLC; Roche, Almere, the Netherlands) with input and output volumes of 200 μl and 100 μl, respectively. YFV and internal control (phocine distemper virus [PDV] [18]) real-time RT-PCR (LC480-II; Roche) was performed using 8 μl of extract in a 20-μl final volume, 1× TaqMan Fast Virus 1-Step master mix (Life Technologies, Nieuwerkerk aan den IJssel, the Netherlands), 0.5 U uracil-N-glycosylase (Life Technologies), and the following primers (0.4 μl each) and probe (adapted from Domingo et al. [18]): YFVfwdD (5′-GCTAATTGAGGTGYATTGGTCTG-3′) (45 pmol/μl), YFV-probeD (5′-AATCGAGTTGCTAGGCAATAAACACATTTGGATT-3′) (5 pmol/μl), and YFV-rev (5′-CTGCTAATCGCTCAAMGAACG-3′) (45 pmol/μl). Assay validation was performed according to ISO 15189:2012 guidelines (19). Informed consent was obtained from the patient according to national medical ethical regulations.

We report the presence of YFV RNA in urine samples from a naturally infected YF patient, with real-time RT-PCR-based YFV detection until 24 days after the onset of symptoms (Table 1). This observation has potential importance for the identification of clinical YF cases, as urine collection is noninvasive, cheap, and easy to perform. The latter factor is especially relevant under conditions in which blood collection can be problematic (e.g., collection from neonates and patients with hemorrhages) and in situations where trained personnel and/or proper facilities are unavailable (17, 20). Urine sampling might provide a long window of opportunity to confirm YF diagnosis in suspected cases, thereby decreasing the reliance on cross-reactive serology in the first weeks of illness. While viremia was atypically detected until at least day 20 in the naturally infected YF patient, we could not compare the detection windows between serum and urine as no serum samples were available beyond day 20. Although our study data prove the presence of YFV in urine of a wild-type YF case, further studies in a large cohort of such naturally infected patients are needed to establish the extent of our observation and the typical window of detection in urine in relation to detection in plasma/serum and to circulating YFV strains and severity of disease.

TABLE 1.

Longitudinal analysis of serum and urine samples of a naturally infected yellow fever patient

Parameter Resulta
Serum Urine
Day of samplingb 6 14 20 9 17 20 24 31 45
Dilution factorc 10× None None None None None None None
CT valued 28.60 31.95 35.23 26.50 35.40 32.20 36.60 >40.00 >40.00
Interpretation P P P P P P P ND ND
a

None, no dilution input RNA; ND, not detected; P, positive.

b

Data are indicated as day after onset of symptoms.

c

Data represent dilution factor-extracted input RNA in RT-PCR.

d

CT, threshold cycle.

REFERENCES

  • 1.Collins ND, Barrett AD. 2017. Live attenuated yellow fever 17D vaccine: a legacy vaccine still controlling outbreaks in modern day. Curr Infect Dis Rep 19:14. doi: 10.1007/s11908-017-0566-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.ECDC. 2016. Rapid risk assessmen. Outbreaks of yellow fever in Angola, Democratic Republic of Congo and Uganda; second update, 13 July 2016. European Centre for Disease Prevention and Control https://ecdc.europa.eu/sites/portal/files/media/en/publications/Publications/RRA-Yellow%20fever-Angola-China-DRC-Uganda.pdf Accessed 11 July 2017.
  • 3.PAHO. 10 July 2017. Yellow fever: epidemiological alerts and updates. Pan American Health Organization. http://www.paho.org/hq/index.php?option=com_topics&view=readall&cid=2194&Itemid=40784&lang=en Accessed 11 July 2017.
  • 4.ECDC. 2017. Rapid risk assessment. Yellow fever among travelers returning from South America. European Centre for Disease Prevention and Control https://ecdc.europa.eu/sites/portal/files/media/en/publications/Publications/14-03-2017-RRA-Yellow%20fever,%20Flaviviridae-Suriname,%20Southern%20America.pdf Accessed 11 July 2017.
  • 5.Wouthuyzen-Bakker M, Knoester M, van den Berg AP, GeurtsvanKessel CH, Koopmans MP, Van Leer-Buter C, Oude Velthuis B, Pas SD, Ruijs WL, Schmidt-Chanasit J, Vreden SG, van der Werf TS, Reusken CB, Bierman WF. 2017. Yellow fever in a traveller returning from Suriname to the Netherlands, March 2017. Euro Surveill 22:30488. doi: 10.2807/1560-7917.ES.2017.22.11.30488. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.PAHO. February 2017. Laboratory diagnosis of yellow fever virus infection. Pan American Health Organization. http://www.paho.org/hq/index.php?option=com_topics&view=readall&cid=5514&Itemid=40784&lang=pt Accessed 11 July 2017.
  • 7.WHO. July 2016. Yellow fever laboratory diagnostic testing in Africa; Interim guidance. World Health Organization. http://apps.who.int/iris/bitstream/10665/246226/1/WHO-OHE-YF-LAB-16.1-eng.pdf Accessed 11 July 2017.
  • 8.Zhang FC, Li XF, Deng YQ, Tong YG, Qin CF. 2016. Excretion of infectious Zika virus in urine. Lancet Infect Dis 16:641–642. doi: 10.1016/S1473-3099(16)30070-6. [DOI] [PubMed] [Google Scholar]
  • 9.Tan SK, Sahoo MK, Milligan SB, Taylor N, Pinsky BA. 2017. Stability of Zika virus in urine: specimen processing considerations and implications for the detection of RNA targets in urine. J Virol Methods 248:66–70. doi: 10.1016/j.jviromet.2017.04.018. [DOI] [PubMed] [Google Scholar]
  • 10.Nagy A, Bán E, Nagy O, Ferenczi E, Farkas ´A, Bányai K, Farkas S, Takács M. 2016. Detection and sequencing of West Nile virus RNA from human urine and serum samples during the 2014 seasonal period. Arch Virol 161:1797–1806. doi: 10.1007/s00705-016-2844-5. [DOI] [PubMed] [Google Scholar]
  • 11.Tonry JH, Brown CB, Cropp CB, Co JK, Bennett SN, Nerurkar VR, Kuberski T, Gubler DJ. 2005. West Nile virus detection in urine. Emerg Infect Dis 11:1294–1296. doi: 10.3201/eid1108.050238. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Mizuno Y, Kotaki A, Harada F, Tajima S, Kurane I, Takasaki T. 2007. Confirmation of dengue virus infection by detection of dengue virus type 1 genome in urine and saliva but not in plasma. Trans R Soc Trop Med Hyg 101:738–739. doi: 10.1016/j.trstmh.2007.02.007. [DOI] [PubMed] [Google Scholar]
  • 13.Paz-Bailey G, Rosenberg ES, Doyle K, Munoz-Jordan J, Santiago GA, Klein L, Perez-Padilla J, Medina FA, Waterman SH, Gubern CG, Alvarado LI, Sharp TM. 14 February 2017. Persistence of Zika virus in body fluids—preliminary report. N Engl J Med doi: 10.1056/NEJMoa1613108. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Papa A, Testa T, Papadopoulou E. 2014. Detection of West Nile virus lineage 2 in the urine of acute human infections. J Med Virol 86:2142–2145. doi: 10.1002/jmv.23949. [DOI] [PubMed] [Google Scholar]
  • 15.Mathur A, Khanna N, Kulshreshtha R, Maitra SC, Chaturvedi UC. 1995. Viruria during acute Japanese encephalitis virus infection. Int J Exp Pathol 76:103–109. [PMC free article] [PubMed] [Google Scholar]
  • 16.Poloni TR, Oliveira AS, Alfonso HL, Galvao LR, Amarilla AA, Poloni DF, Figueiredo LT, Aquino VH. 2010. Detection of dengue virus in saliva and urine by real time RT-PCR. Virol J 7:22. doi: 10.1186/1743-422X-7-22. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Domingo C, Yactayo S, Agbenu E, Demanou M, Schulz AR, Daskalow K, Niedrig M. 2011. Detection of yellow fever 17D genome in urine. J Clin Microbiol 49:760–762. doi: 10.1128/JCM.01775-10. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Domingo C, Patel P, Yillah J, Weidmann M, Mendez JA, Nakoune ER, Niedrig M. 2012. Advanced yellow fever virus genome detection in point-of-care facilities and reference laboratories. J Clin Microbiol 50:4054–4060. doi: 10.1128/JCM.01799-12. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.ISO. 2012. Medical laboratories—requirements for quality and competenc. ISO 15189:2012(en). International Organization for Standardization. https://www.iso.org/obp/ui/#iso:std:iso:15189:ed-3:en Accessed 11 July 2017.
  • 20.Lamb LE, Bartolone SN, Kutluay SB, Robledo D, Porras A, Plata M, Chancellor MB. 2016. Advantage of urine based molecular diagnosis of Zika virus. Int Urol Nephrol 48:1961–1966. doi: 10.1007/s11255-016-1406-9. [DOI] [PubMed] [Google Scholar]

Articles from Journal of Clinical Microbiology are provided here courtesy of American Society for Microbiology (ASM)

RESOURCES