Please use this identifier to cite or link to this item:
|Title:||Real-Time Polymerase chain reaction for detection of Schistosoma DNA in small-volume urine samples reflects focal distribution of Urogenital Schistosomiasis in primary school girls in KwaZulu Natal, South Africa||Authors:||Taylor, Myra
van Lieshout, Lisette
Zulu, Siphosenkosi G.
Gunderson, Svein G.
Verweij, Jaco J.
Brienen, Eric A. T.
Kjetland, Eyrun Floerecke
|Issue Date:||2014||Publisher:||The American Society of Tropical Medicine and Hygiene||Source:||Pillay, P.; Taylor, M.; Zulu, S.G.; Gundersen, S.G.; Verweij, J.J.; Hoekstra, P.; Brienen, E.A.T.; Kleppa, E.; Kjetland, E.F. and van Lieshout, L. 2014. Real-Time Polymerase chain reaction for detection of Schistosoma DNA in small-volume urine samples reflects focal distribution of Urogenital Schistosomiasis in primary school girls in KwaZulu Natal, South Africa, Amercian Journal of Tropical Medicine and Hygiene, 90 : 546-552.||Abstract:||Schistosoma haematobium eggs and Schistosoma DNA levels were measured in urine samples from 708 girls recruited from 18 randomly sampled primary schools in South Africa. Microscopic analysis of two 10-mL urine subsamples collected on three consecutive days confirmed high day-to-day variation; 103 (14.5%) girls had positive results at all six examinations, and at least one positive sample was seen in 225 (31.8%) girls. Schistosoma-specific DNA, which was measured in a 200-μL urine subsample by using real-time polymerase chain reaction, was detected in 180 (25.4%) cases, and levels of DNA corresponded significantly with average urine egg excretion. In concordance with microscopic results, polymerase chain reaction results were significantly associated with history of gynecologic symptoms and confirmed highly focal distribution of urogenital schistosomiasis. Parasite-specific DNA detection has a sensitivity comparable to single urine microscopy and could be used as a standardized high-throughput procedure to assess distribution of urogenital schistosomiasis in relatively large study populations by using small sample volumes.||URI:||http://hdl.handle.net/10321/1380||ISSN:||0002-9637|
|Appears in Collections:||Research Publications (Health Sciences)|
Show full item record
checked on Sep 18, 2018
checked on Sep 18, 2018
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.