The increased sensitivity of qPCR in comparison to Kato-Katz is required for the accurate assessment of the prevalence of soil-transmitted helminth infection in settings that have received multiple rounds of mass drug administration.


Journal

Parasites & vectors
ISSN: 1756-3305
Titre abrégé: Parasit Vectors
Pays: England
ID NLM: 101462774

Informations de publication

Date de publication:
24 Jun 2020
Historique:
received: 15 11 2019
accepted: 17 06 2020
entrez: 26 6 2020
pubmed: 26 6 2020
medline: 9 2 2021
Statut: epublish

Résumé

The most commonly used diagnostic tool for soil-transmitted helminths (STH) is the Kato-Katz (KK) thick smear technique. However, numerous studies have suggested that the sensitivity of KK can be problematic, especially in low prevalence and low intensity settings. An emerging alternative is quantitative polymerase chain reaction (qPCR). In this study, both KK and qPCR were conducted on stool samples from 648 participants in an STH epidemiology study conducted in the delta region of Myanmar in June 2016. Prevalence of any STH was 20.68% by KK and 45.06% by qPCR. Prevalence of each individual STH was also higher by qPCR than KK, the biggest difference was for hookworm with an approximately 4-fold increase between the two diagnostic techniques. Prevalence of Ancylostoma ceylanicum, a parasite predominately found in dogs, was 4.63%, indicating that there is the possibility of zoonotic transmission in the study setting. In individuals with moderate to high intensity infections there is evidence for a linear relationship between eggs per gram (EPG) of faeces, derived from KK, and DNA copy number, derived from qPCR which is particularly strong for Ascaris lumbricoides. The use of qPCR in low prevalence settings is important to accurately assess the epidemiological situation and plan control strategies for the 'end game'. However, more work is required to accurately assess STH intensity from qPCR results and to reduce the cost of qPCR so that is widely accessible in STH endemic countries.

Sections du résumé

BACKGROUND BACKGROUND
The most commonly used diagnostic tool for soil-transmitted helminths (STH) is the Kato-Katz (KK) thick smear technique. However, numerous studies have suggested that the sensitivity of KK can be problematic, especially in low prevalence and low intensity settings. An emerging alternative is quantitative polymerase chain reaction (qPCR).
METHODS METHODS
In this study, both KK and qPCR were conducted on stool samples from 648 participants in an STH epidemiology study conducted in the delta region of Myanmar in June 2016.
RESULTS RESULTS
Prevalence of any STH was 20.68% by KK and 45.06% by qPCR. Prevalence of each individual STH was also higher by qPCR than KK, the biggest difference was for hookworm with an approximately 4-fold increase between the two diagnostic techniques. Prevalence of Ancylostoma ceylanicum, a parasite predominately found in dogs, was 4.63%, indicating that there is the possibility of zoonotic transmission in the study setting. In individuals with moderate to high intensity infections there is evidence for a linear relationship between eggs per gram (EPG) of faeces, derived from KK, and DNA copy number, derived from qPCR which is particularly strong for Ascaris lumbricoides.
CONCLUSIONS CONCLUSIONS
The use of qPCR in low prevalence settings is important to accurately assess the epidemiological situation and plan control strategies for the 'end game'. However, more work is required to accurately assess STH intensity from qPCR results and to reduce the cost of qPCR so that is widely accessible in STH endemic countries.

Identifiants

pubmed: 32580759
doi: 10.1186/s13071-020-04197-w
pii: 10.1186/s13071-020-04197-w
pmc: PMC7315547
doi:

Substances chimiques

Anthelmintics 0
Soil 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

324

Subventions

Organisme : Medical Research Council
ID : MR/R015600/1
Pays : United Kingdom

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Auteurs

Julia C Dunn (JC)

Department of Infectious Disease Epidemiology, School of Public Health, Faculty of Medicine, Imperial College London, London, W2 1PG, UK. julia.dunn@imperial.ac.uk.
London Centre for Neglected Tropical Disease Research, London, UK. julia.dunn@imperial.ac.uk.

Marina Papaiakovou (M)

Department of Infectious Disease Epidemiology, School of Public Health, Faculty of Medicine, Imperial College London, London, W2 1PG, UK.
London Centre for Neglected Tropical Disease Research, London, UK.
Department of Life Sciences, Natural History Museum, London, UK.

Kay Thwe Han (KT)

Department of Medical Research, Ministry of Health and Sports, Nyapyitaw, Myanmar.

Darren Chooneea (D)

Core Research Laboratories, Natural History Museum, London, UK.

Alison A Bettis (AA)

Department of Infectious Disease Epidemiology, School of Public Health, Faculty of Medicine, Imperial College London, London, W2 1PG, UK.
London Centre for Neglected Tropical Disease Research, London, UK.

Nay Yee Wyine (NY)

London Centre for Neglected Tropical Disease Research, London, UK.

Aye Moe Moe Lwin (AMM)

University of Public Health, Myorma Kyaung Street, Yangon, 11131, Myanmar.

Nay Soe Maung (NS)

University of Public Health, Myorma Kyaung Street, Yangon, 11131, Myanmar.

Raju Misra (R)

Core Research Laboratories, Natural History Museum, London, UK.

D T J Littlewood (DTJ)

Department of Life Sciences, Natural History Museum, London, UK.

Roy M Anderson (RM)

Department of Infectious Disease Epidemiology, School of Public Health, Faculty of Medicine, Imperial College London, London, W2 1PG, UK.
London Centre for Neglected Tropical Disease Research, London, UK.

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Classifications MeSH