An improved approach to estimate the avidity index of immunoglobulins: Evaluation of the method using IgG anti-Toxoplasma gondii

Autores
Garcia, Valeria Soledad; Peverengo, Luz María; Peretti, Leandro Ezequiel; González, Verónica Doris Guadalupe; Gugliotta, Luis Marcelino; Dalla Fontana, Maria L.; Marcipar, Iván Sergio; Lagier, Claudia Marina
Año de publicación
2018
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
The daily clinical practice frequently force physicians to make adecision of whether a patient is coursing an infectious disease at theacute or the chronic stage, since treatment may be different dependingon it. This is the case of toxoplasmosis, a worldwide disease caused bythe intracellular parasite Toxoplasma gondii. When a pregnant woman isinfected for the first time by T. gondii and is not treated, the parasite cancross the placenta and severely affect the fetus. In case of primary infection,the treatment protocol includes using antiparasitic drugs toprevent serious damages, including death of the unborn baby. However,antiparasitic chemicals have side effects that should be avoided, unlesstreatment is mandatory. That is why discrimination between long-termand primary T. gondii infection turns out to be critical in infectedpregnant women (Montoya and Remington, 2008).In this work we have used rP22a, an acute-phase recombinant protein werecently described (Costa et al., 2017), to assess anti-T. gondii IgG AI,calculated by two new easier approaches, one based on the area underthe avidity curve (AUAC) and the other one based on the E-P titrationmethod with minor variations. We compare our results with those obtainedwhen calculating the AI by the conventional methods abovementioned, and the performance to render a proper sample classificationas compared to that obtained having used a commercial kit asstandard.
Fil: Garcia, Valeria Soledad. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo Tecnológico para la Industria Química. Universidad Nacional del Litoral. Instituto de Desarrollo Tecnológico para la Industria Química; Argentina
Fil: Peverengo, Luz María. Universidad Nacional del Litoral; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Peretti, Leandro Ezequiel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo Tecnológico para la Industria Química. Universidad Nacional del Litoral. Instituto de Desarrollo Tecnológico para la Industria Química; Argentina
Fil: González, Verónica Doris Guadalupe. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo Tecnológico para la Industria Química. Universidad Nacional del Litoral. Instituto de Desarrollo Tecnológico para la Industria Química; Argentina
Fil: Gugliotta, Luis Marcelino. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo Tecnológico para la Industria Química. Universidad Nacional del Litoral. Instituto de Desarrollo Tecnológico para la Industria Química; Argentina
Fil: Dalla Fontana, Maria L.. Laboratorio Central de la Provincia de Santa Fe; Argentina
Fil: Marcipar, Iván Sergio. Universidad Nacional del Litoral; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Lagier, Claudia Marina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario. Instituto de Química Rosario. Universidad Nacional de Rosario. Facultad de Ciencias Bioquímicas y Farmacéuticas. Instituto de Química Rosario; Argentina
Materia
Avidity index
Recombinant protein
Toxoplasma gondii
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/86437
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/86437
network_acronym_str CONICETDig
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network_name_str CONICET Digital (CONICET)
spelling An improved approach to estimate the avidity index of immunoglobulins: Evaluation of the method using IgG anti-Toxoplasma gondiiGarcia, Valeria SoledadPeverengo, Luz MaríaPeretti, Leandro EzequielGonzález, Verónica Doris GuadalupeGugliotta, Luis MarcelinoDalla Fontana, Maria L.Marcipar, Iván SergioLagier, Claudia MarinaAvidity indexRecombinant proteinToxoplasma gondiihttps://purl.org/becyt/ford/3.4https://purl.org/becyt/ford/3The daily clinical practice frequently force physicians to make adecision of whether a patient is coursing an infectious disease at theacute or the chronic stage, since treatment may be different dependingon it. This is the case of toxoplasmosis, a worldwide disease caused bythe intracellular parasite Toxoplasma gondii. When a pregnant woman isinfected for the first time by T. gondii and is not treated, the parasite cancross the placenta and severely affect the fetus. In case of primary infection,the treatment protocol includes using antiparasitic drugs toprevent serious damages, including death of the unborn baby. However,antiparasitic chemicals have side effects that should be avoided, unlesstreatment is mandatory. That is why discrimination between long-termand primary T. gondii infection turns out to be critical in infectedpregnant women (Montoya and Remington, 2008).In this work we have used rP22a, an acute-phase recombinant protein werecently described (Costa et al., 2017), to assess anti-T. gondii IgG AI,calculated by two new easier approaches, one based on the area underthe avidity curve (AUAC) and the other one based on the E-P titrationmethod with minor variations. We compare our results with those obtainedwhen calculating the AI by the conventional methods abovementioned, and the performance to render a proper sample classificationas compared to that obtained having used a commercial kit asstandard.Fil: Garcia, Valeria Soledad. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo Tecnológico para la Industria Química. Universidad Nacional del Litoral. Instituto de Desarrollo Tecnológico para la Industria Química; ArgentinaFil: Peverengo, Luz María. Universidad Nacional del Litoral; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Peretti, Leandro Ezequiel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo Tecnológico para la Industria Química. Universidad Nacional del Litoral. Instituto de Desarrollo Tecnológico para la Industria Química; ArgentinaFil: González, Verónica Doris Guadalupe. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo Tecnológico para la Industria Química. Universidad Nacional del Litoral. Instituto de Desarrollo Tecnológico para la Industria Química; ArgentinaFil: Gugliotta, Luis Marcelino. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo Tecnológico para la Industria Química. Universidad Nacional del Litoral. Instituto de Desarrollo Tecnológico para la Industria Química; ArgentinaFil: Dalla Fontana, Maria L.. Laboratorio Central de la Provincia de Santa Fe; ArgentinaFil: Marcipar, Iván Sergio. Universidad Nacional del Litoral; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Lagier, Claudia Marina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario. Instituto de Química Rosario. Universidad Nacional de Rosario. Facultad de Ciencias Bioquímicas y Farmacéuticas. Instituto de Química Rosario; ArgentinaElsevier Science2018-06info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/86437Garcia, Valeria Soledad; Peverengo, Luz María; Peretti, Leandro Ezequiel; González, Verónica Doris Guadalupe; Gugliotta, Luis Marcelino; et al.; An improved approach to estimate the avidity index of immunoglobulins: Evaluation of the method using IgG anti-Toxoplasma gondii; Elsevier Science; Journal Of Immunological Methods; 457; 6-2018; 78-811872-79050022-1759CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1016/j.jim.2018.03.008info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-15T14:37:47Zoai:ri.conicet.gov.ar:11336/86437instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-10-15 14:37:47.365CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv An improved approach to estimate the avidity index of immunoglobulins: Evaluation of the method using IgG anti-Toxoplasma gondii
title An improved approach to estimate the avidity index of immunoglobulins: Evaluation of the method using IgG anti-Toxoplasma gondii
spellingShingle An improved approach to estimate the avidity index of immunoglobulins: Evaluation of the method using IgG anti-Toxoplasma gondii
Garcia, Valeria Soledad
Avidity index
Recombinant protein
Toxoplasma gondii
title_short An improved approach to estimate the avidity index of immunoglobulins: Evaluation of the method using IgG anti-Toxoplasma gondii
title_full An improved approach to estimate the avidity index of immunoglobulins: Evaluation of the method using IgG anti-Toxoplasma gondii
title_fullStr An improved approach to estimate the avidity index of immunoglobulins: Evaluation of the method using IgG anti-Toxoplasma gondii
title_full_unstemmed An improved approach to estimate the avidity index of immunoglobulins: Evaluation of the method using IgG anti-Toxoplasma gondii
title_sort An improved approach to estimate the avidity index of immunoglobulins: Evaluation of the method using IgG anti-Toxoplasma gondii
dc.creator.none.fl_str_mv Garcia, Valeria Soledad
Peverengo, Luz María
Peretti, Leandro Ezequiel
González, Verónica Doris Guadalupe
Gugliotta, Luis Marcelino
Dalla Fontana, Maria L.
Marcipar, Iván Sergio
Lagier, Claudia Marina
author Garcia, Valeria Soledad
author_facet Garcia, Valeria Soledad
Peverengo, Luz María
Peretti, Leandro Ezequiel
González, Verónica Doris Guadalupe
Gugliotta, Luis Marcelino
Dalla Fontana, Maria L.
Marcipar, Iván Sergio
Lagier, Claudia Marina
author_role author
author2 Peverengo, Luz María
Peretti, Leandro Ezequiel
González, Verónica Doris Guadalupe
Gugliotta, Luis Marcelino
Dalla Fontana, Maria L.
Marcipar, Iván Sergio
Lagier, Claudia Marina
author2_role author
author
author
author
author
author
author
dc.subject.none.fl_str_mv Avidity index
Recombinant protein
Toxoplasma gondii
topic Avidity index
Recombinant protein
Toxoplasma gondii
purl_subject.fl_str_mv https://purl.org/becyt/ford/3.4
https://purl.org/becyt/ford/3
dc.description.none.fl_txt_mv The daily clinical practice frequently force physicians to make adecision of whether a patient is coursing an infectious disease at theacute or the chronic stage, since treatment may be different dependingon it. This is the case of toxoplasmosis, a worldwide disease caused bythe intracellular parasite Toxoplasma gondii. When a pregnant woman isinfected for the first time by T. gondii and is not treated, the parasite cancross the placenta and severely affect the fetus. In case of primary infection,the treatment protocol includes using antiparasitic drugs toprevent serious damages, including death of the unborn baby. However,antiparasitic chemicals have side effects that should be avoided, unlesstreatment is mandatory. That is why discrimination between long-termand primary T. gondii infection turns out to be critical in infectedpregnant women (Montoya and Remington, 2008).In this work we have used rP22a, an acute-phase recombinant protein werecently described (Costa et al., 2017), to assess anti-T. gondii IgG AI,calculated by two new easier approaches, one based on the area underthe avidity curve (AUAC) and the other one based on the E-P titrationmethod with minor variations. We compare our results with those obtainedwhen calculating the AI by the conventional methods abovementioned, and the performance to render a proper sample classificationas compared to that obtained having used a commercial kit asstandard.
Fil: Garcia, Valeria Soledad. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo Tecnológico para la Industria Química. Universidad Nacional del Litoral. Instituto de Desarrollo Tecnológico para la Industria Química; Argentina
Fil: Peverengo, Luz María. Universidad Nacional del Litoral; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Peretti, Leandro Ezequiel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo Tecnológico para la Industria Química. Universidad Nacional del Litoral. Instituto de Desarrollo Tecnológico para la Industria Química; Argentina
Fil: González, Verónica Doris Guadalupe. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo Tecnológico para la Industria Química. Universidad Nacional del Litoral. Instituto de Desarrollo Tecnológico para la Industria Química; Argentina
Fil: Gugliotta, Luis Marcelino. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo Tecnológico para la Industria Química. Universidad Nacional del Litoral. Instituto de Desarrollo Tecnológico para la Industria Química; Argentina
Fil: Dalla Fontana, Maria L.. Laboratorio Central de la Provincia de Santa Fe; Argentina
Fil: Marcipar, Iván Sergio. Universidad Nacional del Litoral; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Lagier, Claudia Marina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario. Instituto de Química Rosario. Universidad Nacional de Rosario. Facultad de Ciencias Bioquímicas y Farmacéuticas. Instituto de Química Rosario; Argentina
description The daily clinical practice frequently force physicians to make adecision of whether a patient is coursing an infectious disease at theacute or the chronic stage, since treatment may be different dependingon it. This is the case of toxoplasmosis, a worldwide disease caused bythe intracellular parasite Toxoplasma gondii. When a pregnant woman isinfected for the first time by T. gondii and is not treated, the parasite cancross the placenta and severely affect the fetus. In case of primary infection,the treatment protocol includes using antiparasitic drugs toprevent serious damages, including death of the unborn baby. However,antiparasitic chemicals have side effects that should be avoided, unlesstreatment is mandatory. That is why discrimination between long-termand primary T. gondii infection turns out to be critical in infectedpregnant women (Montoya and Remington, 2008).In this work we have used rP22a, an acute-phase recombinant protein werecently described (Costa et al., 2017), to assess anti-T. gondii IgG AI,calculated by two new easier approaches, one based on the area underthe avidity curve (AUAC) and the other one based on the E-P titrationmethod with minor variations. We compare our results with those obtainedwhen calculating the AI by the conventional methods abovementioned, and the performance to render a proper sample classificationas compared to that obtained having used a commercial kit asstandard.
publishDate 2018
dc.date.none.fl_str_mv 2018-06
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/86437
Garcia, Valeria Soledad; Peverengo, Luz María; Peretti, Leandro Ezequiel; González, Verónica Doris Guadalupe; Gugliotta, Luis Marcelino; et al.; An improved approach to estimate the avidity index of immunoglobulins: Evaluation of the method using IgG anti-Toxoplasma gondii; Elsevier Science; Journal Of Immunological Methods; 457; 6-2018; 78-81
1872-7905
0022-1759
CONICET Digital
CONICET
url http://hdl.handle.net/11336/86437
identifier_str_mv Garcia, Valeria Soledad; Peverengo, Luz María; Peretti, Leandro Ezequiel; González, Verónica Doris Guadalupe; Gugliotta, Luis Marcelino; et al.; An improved approach to estimate the avidity index of immunoglobulins: Evaluation of the method using IgG anti-Toxoplasma gondii; Elsevier Science; Journal Of Immunological Methods; 457; 6-2018; 78-81
1872-7905
0022-1759
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1016/j.jim.2018.03.008
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Elsevier Science
publisher.none.fl_str_mv Elsevier Science
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 13.22299

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