The value of West Nile virus RNA detection by real-time RT-PCR in urine samples from patients with neuroinvasive forms
© 2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature..
INTRODUCTION: Routine laboratory screening is based on the detection of WNV specific IgM and IgG in blood and cerebrospinal fluid. Confirmation is then classically applied by real time RT-PCR (rRT-PCR) in Cerebrospinal fluid (CSF), which often gives negative results due to too short virorachia and late sampling. rRT-PCR was applied-for the first time for routine diagnosis purpose-on urine samples.
METHODS: During 2018 outbreak in Tunisia, 107 patients presented WNV neurologic symptoms and were positive for WNV serology. Of them, 95 patients were sampled for urine and 35 were sampled for CSF. Qualitative rRT-PCR was performed on both type of samples.
RESULTS: WNV RNA was detected in 50.5% of urine samples (48/95) and in 2.8% of CSF samples (1/35). WNV RNA was detectable from day 1 to day 41 from symptom onset, however, positive urine rate was 53.1% during the first 10 days from symptom onset. The proportions of urine-positive and urine-negative samples, based on day of collection, showed no statistical difference (p > 0.005). Cycle threshold (Ct) values ranged from 12 to 39, with no correlation with the day of collection. The lowest Ct value was detected for urine sampled on day 5 after symptom onset. A statistically significant difference was found between age groups of confirmed and non confirmed cases (p < 0.001).
DISCUSSION/CONCLUSION: Our study reported the use of rRT-PCR on urine samples as a confirmatory diagnostic tool for WNV "probable cases" during an outbreak. Our findings underlined the reliability and the rapidity of this confirmatory tool, even late, and showed its superiority on CSF investigation.
Medienart: |
E-Artikel |
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Erscheinungsjahr: |
2022 |
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Erschienen: |
2022 |
Enthalten in: |
Zur Gesamtaufnahme - volume:204 |
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Enthalten in: |
Archives of microbiology - 204(2022), 5 vom: 03. Apr., Seite 238 |
Sprache: |
Englisch |
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Beteiligte Personen: |
Gdoura, Mariem [VerfasserIn] |
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Links: |
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Themen: |
Humans |
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Anmerkungen: |
Date Completed 05.04.2022 Date Revised 05.04.2022 published: Electronic Citation Status MEDLINE |
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doi: |
10.1007/s00203-022-02829-6 |
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funding: |
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Förderinstitution / Projekttitel: |
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PPN (Katalog-ID): |
NLM338965807 |
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520 | |a INTRODUCTION: Routine laboratory screening is based on the detection of WNV specific IgM and IgG in blood and cerebrospinal fluid. Confirmation is then classically applied by real time RT-PCR (rRT-PCR) in Cerebrospinal fluid (CSF), which often gives negative results due to too short virorachia and late sampling. rRT-PCR was applied-for the first time for routine diagnosis purpose-on urine samples | ||
520 | |a METHODS: During 2018 outbreak in Tunisia, 107 patients presented WNV neurologic symptoms and were positive for WNV serology. Of them, 95 patients were sampled for urine and 35 were sampled for CSF. Qualitative rRT-PCR was performed on both type of samples | ||
520 | |a RESULTS: WNV RNA was detected in 50.5% of urine samples (48/95) and in 2.8% of CSF samples (1/35). WNV RNA was detectable from day 1 to day 41 from symptom onset, however, positive urine rate was 53.1% during the first 10 days from symptom onset. The proportions of urine-positive and urine-negative samples, based on day of collection, showed no statistical difference (p > 0.005). Cycle threshold (Ct) values ranged from 12 to 39, with no correlation with the day of collection. The lowest Ct value was detected for urine sampled on day 5 after symptom onset. A statistically significant difference was found between age groups of confirmed and non confirmed cases (p < 0.001) | ||
520 | |a DISCUSSION/CONCLUSION: Our study reported the use of rRT-PCR on urine samples as a confirmatory diagnostic tool for WNV "probable cases" during an outbreak. Our findings underlined the reliability and the rapidity of this confirmatory tool, even late, and showed its superiority on CSF investigation | ||
650 | 4 | |a Journal Article | |
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