Molecular xenomonitoring as an indicator of microfilaraemia prevalence for lymphatic filariasis in Samoa in 2019.


Journal

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

Informations de publication

Date de publication:
09 Sep 2024
Historique:
received: 05 06 2024
accepted: 21 08 2024
medline: 10 9 2024
pubmed: 10 9 2024
entrez: 9 9 2024
Statut: epublish

Résumé

Lymphatic filariasis (LF) is a globally significant, vector-borne, neglected tropical disease that can result in severe morbidity and disability. As the World Health Organization (WHO) Global Programme to Eliminate Lymphatic Filariasis makes progress towards LF elimination, there is greater need to develop sensitive strategies for post-intervention surveillance. Molecular xenomonitoring (MX), the detection of pathogen DNA in vectors, may provide a sensitive complement to traditional human-based surveillance techniques, including detection of circulating filarial antigen and microfilaraemia (Mf). This study aims to explore the relationship between human Mf prevalence and the prevalence of polymerase chain reaction (PCR)-positive mosquitoes using MX. This study compared Mf and MX results from a 2019 community-based survey conducted in 35 primary sampling units (PSUs) in Samoa. This study also investigated concordance between presence and absence of PCR-positive mosquitoes and Mf-positive participants at the PSU level, and calculated sensitivity and negative predictive values for each indicator using presence of any Mf-positive infection in humans or PCR-positive mosquitoes as a reference. Correlation between prevalence of filarial DNA in mosquitoes and Mf in humans was estimated at the PSU and household/trap level using mixed-effect Bayesian multilevel regression analysis. Mf-positive individuals were identified in less than half of PSUs in which PCR-positive mosquito pools were present (13 of 28 PSUs). Prevalence of PCR-positive mosquitoes (each species separately) was positively correlated with Mf prevalence in humans at the PSU level. Analysed at the species level, only Aedes polynesiensis demonstrated strong evidence of positive correlation (r) with human Mf prevalence at both PSU (r: 0.5, 95% CrI 0.1-0.8) and trap/household levels (r: 0.6, 95% CrI 0.2-0.9). Findings from this study demonstrate that MX can be a sensitive surveillance method for identifying residual infection in low Mf prevalence settings. MX identified more locations with signals of transmission than Mf-testing. Strong correlation between estimated PCR-positive mosquitoes in the primary vector species and Mf in humans at small spatial scales demonstrates the utility of MX as an indicator for LF prevalence in Samoa and similar settings. Further investigation is needed to develop MX guidelines to strengthen the ability of MX to inform operational decisions.

Sections du résumé

BACKGROUND BACKGROUND
Lymphatic filariasis (LF) is a globally significant, vector-borne, neglected tropical disease that can result in severe morbidity and disability. As the World Health Organization (WHO) Global Programme to Eliminate Lymphatic Filariasis makes progress towards LF elimination, there is greater need to develop sensitive strategies for post-intervention surveillance. Molecular xenomonitoring (MX), the detection of pathogen DNA in vectors, may provide a sensitive complement to traditional human-based surveillance techniques, including detection of circulating filarial antigen and microfilaraemia (Mf). This study aims to explore the relationship between human Mf prevalence and the prevalence of polymerase chain reaction (PCR)-positive mosquitoes using MX.
METHODS METHODS
This study compared Mf and MX results from a 2019 community-based survey conducted in 35 primary sampling units (PSUs) in Samoa. This study also investigated concordance between presence and absence of PCR-positive mosquitoes and Mf-positive participants at the PSU level, and calculated sensitivity and negative predictive values for each indicator using presence of any Mf-positive infection in humans or PCR-positive mosquitoes as a reference. Correlation between prevalence of filarial DNA in mosquitoes and Mf in humans was estimated at the PSU and household/trap level using mixed-effect Bayesian multilevel regression analysis.
RESULTS RESULTS
Mf-positive individuals were identified in less than half of PSUs in which PCR-positive mosquito pools were present (13 of 28 PSUs). Prevalence of PCR-positive mosquitoes (each species separately) was positively correlated with Mf prevalence in humans at the PSU level. Analysed at the species level, only Aedes polynesiensis demonstrated strong evidence of positive correlation (r) with human Mf prevalence at both PSU (r: 0.5, 95% CrI 0.1-0.8) and trap/household levels (r: 0.6, 95% CrI 0.2-0.9).
CONCLUSIONS CONCLUSIONS
Findings from this study demonstrate that MX can be a sensitive surveillance method for identifying residual infection in low Mf prevalence settings. MX identified more locations with signals of transmission than Mf-testing. Strong correlation between estimated PCR-positive mosquitoes in the primary vector species and Mf in humans at small spatial scales demonstrates the utility of MX as an indicator for LF prevalence in Samoa and similar settings. Further investigation is needed to develop MX guidelines to strengthen the ability of MX to inform operational decisions.

Identifiants

pubmed: 39252131
doi: 10.1186/s13071-024-06463-7
pii: 10.1186/s13071-024-06463-7
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

382

Subventions

Organisme : National Health and Medical Research Council
ID : APP1193826

Informations de copyright

© 2024. The Author(s).

Références

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Auteurs

Maddison Howlett (M)

School of Public Health, Faculty of Medicine, The University of Queensland, Brisbane, QLD, 4006, Australia.

Helen J Mayfield (HJ)

School of Public Health, Faculty of Medicine, The University of Queensland, Brisbane, QLD, 4006, Australia.
Centre for Clinical Research, The University of Queensland, Brisbane, QLD, 4006, Australia.

Brady McPherson (B)

Australian Defence Force Malaria and Infectious Disease Institute, Enoggera, 4051, Australia.

Lisa Rigby (L)

Australian Defence Force Malaria and Infectious Disease Institute, Enoggera, 4051, Australia.

Robert Thomsen (R)

Samoa Ministry of Health, Apia, WS, 1330, Samoa.

Steven A Williams (SA)

Department of Biological Sciences, Smith College, Northampton, MA, 01063, USA.

Nils Pilotte (N)

Department of Biological Sciences, Quinnipiac University, Hamden, CT, 06518, USA.

Shannon M Hedtke (SM)

Department of Environment and Genetics, La Trobe University, Bundoora, VIC, 3086, Australia.

Patricia M Graves (PM)

College of Public Health, Medical and Veterinary Sciences, James Cook University, Cairns, 4878, Australia.

Therese Kearns (T)

Menzies School of Health Research, Charles Darwin University, Casuarina, NT, 0810, Australia.

Take Naseri (T)

Samoa Ministry of Health, Apia, WS, 1330, Samoa.

Sarah Sheridan (S)

National Centre for Immunisation Research and Surveillance, Westmead, Sydney, Australia.

Angus McLure (A)

National Centre for Epidemiology and Population Health, Australian National University, Canberra, Australia. angus.mclure@anu.edu.au.

Colleen L Lau (CL)

School of Public Health, Faculty of Medicine, The University of Queensland, Brisbane, QLD, 4006, Australia.
Centre for Clinical Research, The University of Queensland, Brisbane, QLD, 4006, Australia.

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