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A Parallel Comparison of Antigen Candidates for Development of an Optimized Serological Diagnosis of Schistosomiasis Japonica in the Philippines

Schistosoma japonicum is stubbornly persistent in China and the Philippines. Fast and accurate diagnostic tools are required to monitor effective control measures against schistosomiasis japonica. Promising antigen candidates for the serological diagnosis of schistosomiasis japonica have generally b...

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Autores principales: Cai, Pengfei, Weerakoon, Kosala G., Mu, Yi, Olveda, David U., Piao, Xianyu, Liu, Shuai, Olveda, Remigio M., Chen, Qijun, Ross, Allen G., McManus, Donald P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5652020/
https://www.ncbi.nlm.nih.gov/pubmed/28943229
http://dx.doi.org/10.1016/j.ebiom.2017.09.011
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author Cai, Pengfei
Weerakoon, Kosala G.
Mu, Yi
Olveda, David U.
Piao, Xianyu
Liu, Shuai
Olveda, Remigio M.
Chen, Qijun
Ross, Allen G.
McManus, Donald P.
author_facet Cai, Pengfei
Weerakoon, Kosala G.
Mu, Yi
Olveda, David U.
Piao, Xianyu
Liu, Shuai
Olveda, Remigio M.
Chen, Qijun
Ross, Allen G.
McManus, Donald P.
author_sort Cai, Pengfei
collection PubMed
description Schistosoma japonicum is stubbornly persistent in China and the Philippines. Fast and accurate diagnostic tools are required to monitor effective control measures against schistosomiasis japonica. Promising antigen candidates for the serological diagnosis of schistosomiasis japonica have generally been identified from the Chinese strain of S. japonicum. However, the Chinese (SjC) and Philippine (SjP) strains of S. japonicum express a number of clear phenotypic differences, including aspects of host immune responses. This feature thereby emphasized the requirement to determine whether antigens identified as having diagnostic value for SjC infection are also suitable for the diagnosis of SjP infection. In the current study, 10 antigens were selected for comparison of diagnostic performance of the SjP infection using ELISA. On testing of sera from 180 subjects in the Philippines, SjSAP4 exhibited the best diagnostic performance with 94.03% sensitivity and 98.33% specificity using an optimized serum dilution. In another large scale testing with 412 serum samples, a combination (SjSAP4 + Sj23-LHD (large hydrophilic domain)) provided the best diagnostic outcome with 87.04% sensitivity and 96.67% specificity. This combination could be used in future for serological diagnosis of schistosomiasis in the Philippines, thereby representing an important component for monitoring integrated control measures.
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spelling pubmed-56520202017-10-25 A Parallel Comparison of Antigen Candidates for Development of an Optimized Serological Diagnosis of Schistosomiasis Japonica in the Philippines Cai, Pengfei Weerakoon, Kosala G. Mu, Yi Olveda, David U. Piao, Xianyu Liu, Shuai Olveda, Remigio M. Chen, Qijun Ross, Allen G. McManus, Donald P. EBioMedicine Research Paper Schistosoma japonicum is stubbornly persistent in China and the Philippines. Fast and accurate diagnostic tools are required to monitor effective control measures against schistosomiasis japonica. Promising antigen candidates for the serological diagnosis of schistosomiasis japonica have generally been identified from the Chinese strain of S. japonicum. However, the Chinese (SjC) and Philippine (SjP) strains of S. japonicum express a number of clear phenotypic differences, including aspects of host immune responses. This feature thereby emphasized the requirement to determine whether antigens identified as having diagnostic value for SjC infection are also suitable for the diagnosis of SjP infection. In the current study, 10 antigens were selected for comparison of diagnostic performance of the SjP infection using ELISA. On testing of sera from 180 subjects in the Philippines, SjSAP4 exhibited the best diagnostic performance with 94.03% sensitivity and 98.33% specificity using an optimized serum dilution. In another large scale testing with 412 serum samples, a combination (SjSAP4 + Sj23-LHD (large hydrophilic domain)) provided the best diagnostic outcome with 87.04% sensitivity and 96.67% specificity. This combination could be used in future for serological diagnosis of schistosomiasis in the Philippines, thereby representing an important component for monitoring integrated control measures. Elsevier 2017-09-17 /pmc/articles/PMC5652020/ /pubmed/28943229 http://dx.doi.org/10.1016/j.ebiom.2017.09.011 Text en © 2017 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Research Paper
Cai, Pengfei
Weerakoon, Kosala G.
Mu, Yi
Olveda, David U.
Piao, Xianyu
Liu, Shuai
Olveda, Remigio M.
Chen, Qijun
Ross, Allen G.
McManus, Donald P.
A Parallel Comparison of Antigen Candidates for Development of an Optimized Serological Diagnosis of Schistosomiasis Japonica in the Philippines
title A Parallel Comparison of Antigen Candidates for Development of an Optimized Serological Diagnosis of Schistosomiasis Japonica in the Philippines
title_full A Parallel Comparison of Antigen Candidates for Development of an Optimized Serological Diagnosis of Schistosomiasis Japonica in the Philippines
title_fullStr A Parallel Comparison of Antigen Candidates for Development of an Optimized Serological Diagnosis of Schistosomiasis Japonica in the Philippines
title_full_unstemmed A Parallel Comparison of Antigen Candidates for Development of an Optimized Serological Diagnosis of Schistosomiasis Japonica in the Philippines
title_short A Parallel Comparison of Antigen Candidates for Development of an Optimized Serological Diagnosis of Schistosomiasis Japonica in the Philippines
title_sort parallel comparison of antigen candidates for development of an optimized serological diagnosis of schistosomiasis japonica in the philippines
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5652020/
https://www.ncbi.nlm.nih.gov/pubmed/28943229
http://dx.doi.org/10.1016/j.ebiom.2017.09.011
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