Novel Thiazolidinedione Derivatives as Potential ZIKV Antiviral Inhibitors

Zika virus (ZIKV) remains a pressing global health concern due to its association with congenital Zika syndrome and the current lack of approved antiviral therapies. In this study, we evaluated the antiviral activity of three novel thiazolidinedione derivatives, GQ-402, GQ-396, and ZKC-10, against ZIKV in vitro and investigated their potential molecular targets through in silico analysis. GQ-402 exhibited the highest antiviral potency, with an IC<sub>50</sub> of 15.7 µM, while ZKC-10 achieved the most substantial reduction in viral RNA levels, as determined by RT-qPCR. Molecular docking studies identified GQ-396 as the top-ranked inhibitor of the NS2B-NS3 protease and NS5 RNA-dependent RNA polymerase, suggesting distinct mechanisms of action among the compounds. These findings highlight the therapeutic potential of thiazolidinedione derivatives and underscore the need for further investigation to develop effective treatments for ZIKV infection.

Authors

Institutions

Publication Details

Journal
Microorganisms
Published
2025-08-22
DOI
https://doi.org/10.3390/microorganisms13091967
Primary Topic
Mosquito-borne diseases and control
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Novel Thiazolidinedione Derivatives as Potential ZIKV Antiviral Inhibitors

Paulo André Teixeira de Moraes Gomes, Moacyr Jesus Barreto de Melo Rêgo, Marie‐Line Andréola, Michelly Cristiny Pereira et al.
Microorganisms
Mosquito-borne diseases and control
article

Novel Thiazolidinedione Derivatives as Potential ZIKV Antiviral Inhibitors

Paulo André Teixeira de Moraes Gomes, Moacyr Jesus Barreto de Melo Rêgo, Marie‐Line Andréola, Michelly Cristiny Pereira, Marina Galdino da Rocha Pitta, Sayonara Maria Calado Gonçalves, José Arion da Silva Moura, Douglas Carvalho Francisco Viana, Floriane Lagadec, Maíra Galdino da Rocha Pitta, Mathieu Métifiot, Michelle Melgarejo da Rosa, Patrícia Recordon-Pinson, Isabella Luiza Ralph de Oliveira
article en

Abstract

Zika virus (ZIKV) remains a pressing global health concern due to its association with congenital Zika syndrome and the current lack of approved antiviral therapies. In this study, we evaluated the antiviral activity of three novel thiazolidinedione derivatives, GQ-402, GQ-396, and ZKC-10, against ZIKV in vitro and investigated their potential molecular targets through in silico analysis. GQ-402 exhibited the highest antiviral potency, with an IC<sub>50</sub> of 15.7 µM, while ZKC-10 achieved the most substantial reduction in viral RNA levels, as determined by RT-qPCR. Molecular docking studies identified GQ-396 as the top-ranked inhibitor of the NS2B-NS3 protease and NS5 RNA-dependent RNA polymerase, suggesting distinct mechanisms of action among the compounds. These findings highlight the therapeutic potential of thiazolidinedione derivatives and underscore the need for further investigation to develop effective treatments for ZIKV infection.

MicroorganismsVol. 13(9)
Centre National de la Recherche Scientifique (FR), Université de Bordeaux (FR), Universidade Federal de Pernambuco (BR), Institut Polytechnique de Bordeaux (FR), Laboratoire de Microbiologie Fondamentale et Pathogénicité (FR)
Coordenação de Aperfeiçoamento de Pessoal de Nível Superior, Conselho Nacional de Desenvolvimento Científico e Tecnológico, Financiadora de Estudos e Projetos, Université de Bordeaux, Universidade Federal de Pernambuco, Universidade de Pernambuco
Good health and well-being
Openalex Percentile: Top 70%
Mosquito-borne diseases and control
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.