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1.
PLoS Pathog ; 18(7): e1010673, 2022 07.
Artículo en Inglés | MEDLINE | ID: mdl-35788752

RESUMEN

The limited development of broadly neutralizing antibodies (BnAbs) during HIV infection is classically attributed to an inadequate B-cell help brought by functionally impaired T follicular helper (Tfh) cells. However, the determinants of Tfh-cell functional impairment and the signals contributing to this condition remain elusive. In the present study, we showed that PD-L1 is incorporated within HIV virions through an active mechanism involving p17 HIV matrix protein. We subsequently showed that in vitro produced PD-L1high but not PD-L1low HIV virions, significantly reduced Tfh-cell proliferation and IL-21 production, ultimately leading to a decreased of IgG1 secretion from GC B cells. Interestingly, Tfh-cell functions were fully restored in presence of anti-PD-L1/2 blocking mAbs treatment, demonstrating that the incorporated PD-L1 proteins were functionally active. Taken together, the present study unveils an immunovirological mechanism by which HIV specifically exploits the regulatory potential of PD-L1 to suppress the immune system during the course of HIV infection.


Asunto(s)
Infecciones por VIH , Linfocitos T Colaboradores-Inductores , Linfocitos B , Humanos , Células T Auxiliares Foliculares , Virión
2.
Nat Commun ; 15(1): 5339, 2024 Jun 24.
Artículo en Inglés | MEDLINE | ID: mdl-38914562

RESUMEN

Broadly neutralizing antibodies (bNAbs) are promising candidates for the treatment and prevention of HIV-1 infections. Despite their critical importance, automatic detection of HIV-1 bNAbs from immune repertoires is still lacking. Here, we develop a straightforward computational method for the Rapid Automatic Identification of bNAbs (RAIN) based on machine learning methods. In contrast to other approaches, which use one-hot encoding amino acid sequences or structural alignment for prediction, RAIN uses a combination of selected sequence-based features for the accurate prediction of HIV-1 bNAbs. We demonstrate the performance of our approach on non-biased, experimentally obtained and sequenced BCR repertoires from HIV-1 immune donors. RAIN processing leads to the successful identification of distinct HIV-1 bNAbs targeting the CD4-binding site of the envelope glycoprotein. In addition, we validate the identified bNAbs using an in vitro neutralization assay and we solve the structure of one of them in complex with the soluble native-like heterotrimeric envelope glycoprotein by single-particle cryo-electron microscopy (cryo-EM). Overall, we propose a method to facilitate and accelerate HIV-1 bNAbs discovery from non-selected immune repertoires.


Asunto(s)
Anticuerpos Neutralizantes , Microscopía por Crioelectrón , Anticuerpos Anti-VIH , Infecciones por VIH , VIH-1 , Aprendizaje Automático , VIH-1/inmunología , Humanos , Anticuerpos Anti-VIH/inmunología , Anticuerpos Neutralizantes/inmunología , Infecciones por VIH/virología , Infecciones por VIH/inmunología , Antígenos CD4/metabolismo , Antígenos CD4/inmunología , Secuencia de Aminoácidos , Proteína gp120 de Envoltorio del VIH/inmunología , Proteína gp120 de Envoltorio del VIH/química
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