Serological diagnosis of strongyloidiasis in immunocompetent and immunosuppressed patients based on an electrochemical immunoassay using a flexible device allied to PLS-DA and ROC statistical tools

Gabriel J. Mattos; Gustavo G. Marcheafave; William H. Roldán; Miguel J. Mattos; Fabiana M. de Paula; Ronaldo C.B. Gryschek; Elen R. Sartori

doi:10.1016/j.snb.2021.131213

Serological diagnosis of strongyloidiasis in immunocompetent and immunosuppressed patients based on an electrochemical immunoassay using a flexible device allied to PLS-DA and ROC statistical tools

Gabriel J. Mattos, Gustavo G. Marcheafave, William H. Roldán, Miguel J. Mattos, Fabiana M. de Paula, Ronaldo C.B. Gryschek, Elen R. Sartori

Research output: Contribution to journal › Article › peer-review

2 Scopus citations

Abstract

Strongyloidiasis is a tropical disease caused by the nematode called Strongyloides stercoralis. An electrochemical immunosensor was efficiently constructed for the diagnosis of this helminthiasis using the larvae epicuticle as the antigen electrostatically immobilized on the surface of a screen-printed electrode, modified with graphene/ZnOQDs composite. The mechanism of monitoring was based on the changes in the electrochemical parameters of the device due to the antigen-antibody binding on its interface. The immunosensor was characterized using electrochemical impedance spectroscopy and cyclic voltammetry, evaluating the impedimetric/voltammetric biorecognition of the antigen-antibody complex using the redox group K₄Fe(CN)₆ as the electrochemical probe. This bioelectronic device detected antibodies in positive serum samples based on the voltammetric profile and electrochemical impedance monitoring. Partial least squares-discriminant analysis showed a coefficient of determination of 0.98, indicating that the model can correctly classify samples as positive or negative for strongyloidiasis, based on the voltammetric profile of samples from immunocompetent patients. The analysis of the root mean square error of cross-validation (0.126), the root mean square error of calibration (0.124), and the root mean square error of prediction (0.100) for the latent variable indicate the optimal precision of the model. Based on the receiver operating characteristic curves, the cutoff was determined for the electrochemical impedance measurements, obtaining a 100% correct classification for immunocompetent patients and just 1.25% false-negatives in cases of immunosuppressed patients. The immunosensor presented excellent specificity in the presence of other helminthiases, including ascaridiasis, diphyllobothriasis, himenolepiasis, cysticercosis, and trichuriasis.

Original language	English
Article number	131213
Journal	Sensors and Actuators B: Chemical
Volume	354
DOIs	https://doi.org/10.1016/j.snb.2021.131213
State	Published - 1 Mar 2022

Bibliographical note

Funding Information:
This work was supported by Conselho Nacional de Desenvolvimento Científico e Tecnológico (grants no. 408591/2018-8 ; 305320/2019-0 ; E. R. Sartori) ( CNPq ), Coordenação de Aperfeiçoamento de Pessoal de Nível Superior ( CAPES ), Universidade Estadual de Londrina , Hospital das Clínicas – Faculdade de Medicina Universidade de São Paulo and Instituto de Medicina Tropical de São Paulo . Special thanks to Dr. Ieda S. Scarminio and Dr. Luiz H. Dall’Antonia for the potentiostat equipments.

Publisher Copyright:
© 2021 Elsevier B.V.

Keywords

Electrochemical immunosensor
Electrochemical impedance spectroscopy
Healthcare
Immunoassays
Prediction model
Tropical diseases

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10.1016/j.snb.2021.131213

Cite this

Mattos, G. J., Marcheafave, G. G., Roldán, W. H., Mattos, M. J., de Paula, F. M., Gryschek, R. C. B., & Sartori, E. R. (2022). Serological diagnosis of strongyloidiasis in immunocompetent and immunosuppressed patients based on an electrochemical immunoassay using a flexible device allied to PLS-DA and ROC statistical tools. Sensors and Actuators B: Chemical, 354, Article 131213. https://doi.org/10.1016/j.snb.2021.131213

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title = "Serological diagnosis of strongyloidiasis in immunocompetent and immunosuppressed patients based on an electrochemical immunoassay using a flexible device allied to PLS-DA and ROC statistical tools",

abstract = "Strongyloidiasis is a tropical disease caused by the nematode called Strongyloides stercoralis. An electrochemical immunosensor was efficiently constructed for the diagnosis of this helminthiasis using the larvae epicuticle as the antigen electrostatically immobilized on the surface of a screen-printed electrode, modified with graphene/ZnOQDs composite. The mechanism of monitoring was based on the changes in the electrochemical parameters of the device due to the antigen-antibody binding on its interface. The immunosensor was characterized using electrochemical impedance spectroscopy and cyclic voltammetry, evaluating the impedimetric/voltammetric biorecognition of the antigen-antibody complex using the redox group K4Fe(CN)6 as the electrochemical probe. This bioelectronic device detected antibodies in positive serum samples based on the voltammetric profile and electrochemical impedance monitoring. Partial least squares-discriminant analysis showed a coefficient of determination of 0.98, indicating that the model can correctly classify samples as positive or negative for strongyloidiasis, based on the voltammetric profile of samples from immunocompetent patients. The analysis of the root mean square error of cross-validation (0.126), the root mean square error of calibration (0.124), and the root mean square error of prediction (0.100) for the latent variable indicate the optimal precision of the model. Based on the receiver operating characteristic curves, the cutoff was determined for the electrochemical impedance measurements, obtaining a 100% correct classification for immunocompetent patients and just 1.25% false-negatives in cases of immunosuppressed patients. The immunosensor presented excellent specificity in the presence of other helminthiases, including ascaridiasis, diphyllobothriasis, himenolepiasis, cysticercosis, and trichuriasis.",

keywords = "Electrochemical immunosensor, Electrochemical impedance spectroscopy, Healthcare, Immunoassays, Prediction model, Tropical diseases",

author = "Mattos, {Gabriel J.} and Marcheafave, {Gustavo G.} and Rold{\'a}n, {William H.} and Mattos, {Miguel J.} and {de Paula}, {Fabiana M.} and Gryschek, {Ronaldo C.B.} and Sartori, {Elen R.}",

note = "Publisher Copyright: {\textcopyright} 2021 Elsevier B.V.",

year = "2022",

month = mar,

day = "1",

doi = "10.1016/j.snb.2021.131213",

language = "Ingl{\'e}s",

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Mattos, GJ, Marcheafave, GG, Roldán, WH, Mattos, MJ, de Paula, FM, Gryschek, RCB & Sartori, ER 2022, 'Serological diagnosis of strongyloidiasis in immunocompetent and immunosuppressed patients based on an electrochemical immunoassay using a flexible device allied to PLS-DA and ROC statistical tools', Sensors and Actuators B: Chemical, vol. 354, 131213. https://doi.org/10.1016/j.snb.2021.131213

Serological diagnosis of strongyloidiasis in immunocompetent and immunosuppressed patients based on an electrochemical immunoassay using a flexible device allied to PLS-DA and ROC statistical tools. / Mattos, Gabriel J.; Marcheafave, Gustavo G.; Roldán, William H. et al.
In: Sensors and Actuators B: Chemical, Vol. 354, 131213, 01.03.2022.

Research output: Contribution to journal › Article › peer-review

TY - JOUR

T1 - Serological diagnosis of strongyloidiasis in immunocompetent and immunosuppressed patients based on an electrochemical immunoassay using a flexible device allied to PLS-DA and ROC statistical tools

AU - Mattos, Gabriel J.

AU - Marcheafave, Gustavo G.

AU - Roldán, William H.

AU - Mattos, Miguel J.

AU - de Paula, Fabiana M.

AU - Gryschek, Ronaldo C.B.

AU - Sartori, Elen R.

PY - 2022/3/1

Y1 - 2022/3/1

N2 - Strongyloidiasis is a tropical disease caused by the nematode called Strongyloides stercoralis. An electrochemical immunosensor was efficiently constructed for the diagnosis of this helminthiasis using the larvae epicuticle as the antigen electrostatically immobilized on the surface of a screen-printed electrode, modified with graphene/ZnOQDs composite. The mechanism of monitoring was based on the changes in the electrochemical parameters of the device due to the antigen-antibody binding on its interface. The immunosensor was characterized using electrochemical impedance spectroscopy and cyclic voltammetry, evaluating the impedimetric/voltammetric biorecognition of the antigen-antibody complex using the redox group K4Fe(CN)6 as the electrochemical probe. This bioelectronic device detected antibodies in positive serum samples based on the voltammetric profile and electrochemical impedance monitoring. Partial least squares-discriminant analysis showed a coefficient of determination of 0.98, indicating that the model can correctly classify samples as positive or negative for strongyloidiasis, based on the voltammetric profile of samples from immunocompetent patients. The analysis of the root mean square error of cross-validation (0.126), the root mean square error of calibration (0.124), and the root mean square error of prediction (0.100) for the latent variable indicate the optimal precision of the model. Based on the receiver operating characteristic curves, the cutoff was determined for the electrochemical impedance measurements, obtaining a 100% correct classification for immunocompetent patients and just 1.25% false-negatives in cases of immunosuppressed patients. The immunosensor presented excellent specificity in the presence of other helminthiases, including ascaridiasis, diphyllobothriasis, himenolepiasis, cysticercosis, and trichuriasis.

AB - Strongyloidiasis is a tropical disease caused by the nematode called Strongyloides stercoralis. An electrochemical immunosensor was efficiently constructed for the diagnosis of this helminthiasis using the larvae epicuticle as the antigen electrostatically immobilized on the surface of a screen-printed electrode, modified with graphene/ZnOQDs composite. The mechanism of monitoring was based on the changes in the electrochemical parameters of the device due to the antigen-antibody binding on its interface. The immunosensor was characterized using electrochemical impedance spectroscopy and cyclic voltammetry, evaluating the impedimetric/voltammetric biorecognition of the antigen-antibody complex using the redox group K4Fe(CN)6 as the electrochemical probe. This bioelectronic device detected antibodies in positive serum samples based on the voltammetric profile and electrochemical impedance monitoring. Partial least squares-discriminant analysis showed a coefficient of determination of 0.98, indicating that the model can correctly classify samples as positive or negative for strongyloidiasis, based on the voltammetric profile of samples from immunocompetent patients. The analysis of the root mean square error of cross-validation (0.126), the root mean square error of calibration (0.124), and the root mean square error of prediction (0.100) for the latent variable indicate the optimal precision of the model. Based on the receiver operating characteristic curves, the cutoff was determined for the electrochemical impedance measurements, obtaining a 100% correct classification for immunocompetent patients and just 1.25% false-negatives in cases of immunosuppressed patients. The immunosensor presented excellent specificity in the presence of other helminthiases, including ascaridiasis, diphyllobothriasis, himenolepiasis, cysticercosis, and trichuriasis.

KW - Electrochemical immunosensor

KW - Electrochemical impedance spectroscopy

KW - Healthcare

KW - Immunoassays

KW - Prediction model

KW - Tropical diseases

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DO - 10.1016/j.snb.2021.131213

M3 - Artículo

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SN - 0925-4005

VL - 354

JO - Sensors and Actuators B: Chemical

JF - Sensors and Actuators B: Chemical

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ER -

Mattos GJ, Marcheafave GG, Roldán WH, Mattos MJ, de Paula FM, Gryschek RCB et al. Serological diagnosis of strongyloidiasis in immunocompetent and immunosuppressed patients based on an electrochemical immunoassay using a flexible device allied to PLS-DA and ROC statistical tools. Sensors and Actuators B: Chemical. 2022 Mar 1;354:131213. doi: 10.1016/j.snb.2021.131213

Serological diagnosis of strongyloidiasis in immunocompetent and immunosuppressed patients based on an electrochemical immunoassay using a flexible device allied to PLS-DA and ROC statistical tools

Abstract

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Keywords

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