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Molecular typing of Strongyloides stercoralis in Latin America, the clinical connection

Published online by Cambridge University Press:  06 September 2021

Silvia Analía Repetto
Affiliation:
Universidad de Buenos Aires, Facultad de Medicina, Departamento de Microbiología, Buenos Aires, Argentina CONICET - Universidad de Buenos Aires, Instituto de Investigaciones en Microbiología y Parasitología Médica (IMPaM), Buenos Aires, Argentina Universidad de Buenos Aires, Hospital de Clínicas “José de San Martín”, División Infectología, Buenos Aires, Argentina
Juan Quarroz Braghini
Affiliation:
Universidad de Buenos Aires, Facultad de Medicina, Departamento de Microbiología, Buenos Aires, Argentina CONICET - Universidad de Buenos Aires, Instituto de Investigaciones en Microbiología y Parasitología Médica (IMPaM), Buenos Aires, Argentina
Marikena Guadalupe Risso
Affiliation:
Universidad de Buenos Aires, Facultad de Medicina, Departamento de Microbiología, Buenos Aires, Argentina CONICET - Universidad de Buenos Aires, Instituto de Investigaciones en Microbiología y Parasitología Médica (IMPaM), Buenos Aires, Argentina
Lisana Belén Argüello
Affiliation:
Universidad de Buenos Aires, Facultad de Medicina, Departamento de Microbiología, Buenos Aires, Argentina CONICET - Universidad de Buenos Aires, Instituto de Investigaciones en Microbiología y Parasitología Médica (IMPaM), Buenos Aires, Argentina
Estela Inés Batalla
Affiliation:
Universidad de Buenos Aires, Facultad de Medicina, Departamento de Microbiología, Buenos Aires, Argentina CONICET - Universidad de Buenos Aires, Instituto de Investigaciones en Microbiología y Parasitología Médica (IMPaM), Buenos Aires, Argentina
Daniel Ricardo Stecher
Affiliation:
Universidad de Buenos Aires, Hospital de Clínicas “José de San Martín”, División Infectología, Buenos Aires, Argentina
Mariela Fernanda Sierra
Affiliation:
Universidad de Buenos Aires, Hospital de Clínicas “José de San Martín”, División Infectología, Buenos Aires, Argentina
Juan Miguel Burgos
Affiliation:
Instituto de Investigaciones Biotecnológicas, Universidad Nacional de San Martín, Buenos Aires, Argentina Consejo Nacional de Investigaciones Científicas y Técnicas, Buenos Aires, Argentina
Marcelo Víctor Radisic
Affiliation:
División de Enfermedades Infecciosas, Instituto de Nefrología/Nephrology, Buenos Aires, Argentina
Stella Maris González Cappa
Affiliation:
Universidad de Buenos Aires, Facultad de Medicina, Departamento de Microbiología, Buenos Aires, Argentina CONICET - Universidad de Buenos Aires, Instituto de Investigaciones en Microbiología y Parasitología Médica (IMPaM), Buenos Aires, Argentina
Paula Ruybal*
Affiliation:
Universidad de Buenos Aires, Facultad de Medicina, Departamento de Microbiología, Buenos Aires, Argentina CONICET - Universidad de Buenos Aires, Instituto de Investigaciones en Microbiología y Parasitología Médica (IMPaM), Buenos Aires, Argentina
*
Author for correspondence: Paula Ruybal, E-mail: pruybal@gmail.com

Abstract

This study analysed Strongyloides stercoralis genetic variability based on a 404 bp region of the cox1 gene from Latin-American samples in a clinical context including epidemiological, diagnosis and follow-up variables. A prospective, descriptive, observational study was conducted to evaluate clinical and parasitological evolution after ivermectin treatment of 41 patients infected with S. stercoralis. Reactivation of the disease was defined both by clinical symptoms appearance and/or direct larvae detection 30 days after treatment or later. We described 10 haplotypes organized in two clusters. Most frequent variants were also described in the Asian continent in human (HP24 and HP93) and canine (HP24) samples. Clinical presentation (intestinal, severe, cutaneous and asymptomatic), immunological status and eosinophil count were not associated with specific haplotypes or clusters. Nevertheless, presence of cluster 1 haplotypes during diagnosis increased the risk of reactivation with an odds ratio (OR) of 7.51 [confidence interval (CI) 95% 1.38–44.29, P = 0.026]. In contrast, reactivation probability was 83 times lower if cluster 2 (I152V mutation) was detected (OR = 0.17, CI 95% 0.02–0.80, P = 0.02). This is the first analysis of S. stercoralis cox1 diversity in the clinical context. Determination of clusters during the diagnosis could facilitate and improve the design of follow-up strategies to prevent severe reactivations of this chronic disease.

Type
Research Article
Copyright
Copyright © The Author(s), 2021. Published by Cambridge University Press

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Footnotes

*

These authors contributed equally to this work.

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