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
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/86437
Ver los metadatos del registro completo
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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 Técnicas2025-09-29T09:44:18Zoai: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:34982025-09-29 09:44:19.198CONICET 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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1844613394449039360 |
score |
13.070432 |