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Identification of drug candidates targeting monocyte reprogramming in people living with HIV

Authors :
Rainer Knoll
Lorenzo Bonaguro
Jéssica C. dos Santos
Stefanie Warnat-Herresthal
Maartje C. P. Jacobs-Cleophas
Edda Blümel
Nico Reusch
Arik Horne
Miriam Herbert
Melanie Nuesch-Germano
Twan Otten
Wouter A. van der Heijden
Lisa van de Wijer
Alex K. Shalek
Kristian Händler
Matthias Becker
Marc D. Beyer
Mihai G. Netea
Leo A. B. Joosten
Andre J. A. M. van der Ven
Joachim L. Schultze
Anna C. Aschenbrenner
Source :
Frontiers in Immunology, Vol 14 (2023)
Publication Year :
2023
Publisher :
Frontiers Media S.A., 2023.

Abstract

IntroductionPeople living with HIV (PLHIV) are characterized by functional reprogramming of innate immune cells even after long-term antiretroviral therapy (ART). In order to assess technical feasibility of omics technologies for application to larger cohorts, we compared multiple omics data layers.MethodsBulk and single-cell transcriptomics, flow cytometry, proteomics, chromatin landscape analysis by ATAC-seq as well as ex vivo drug stimulation were performed in a small number of blood samples derived from PLHIV and healthy controls from the 200-HIV cohort study.ResultsSingle-cell RNA-seq analysis revealed that most immune cells in peripheral blood of PLHIV are altered in their transcriptomes and that a specific functional monocyte state previously described in acute HIV infection is still existing in PLHIV while other monocyte cell states are only occurring acute infection. Further, a reverse transcriptome approach on a rather small number of PLHIV was sufficient to identify drug candidates for reversing the transcriptional phenotype of monocytes in PLHIV.DiscussionThese scientific findings and technological advancements for clinical application of single-cell transcriptomics form the basis for the larger 2000-HIV multicenter cohort study on PLHIV, for which a combination of bulk and single-cell transcriptomics will be included as the leading technology to determine disease endotypes in PLHIV and to predict disease trajectories and outcomes.

Details

Language :
English
ISSN :
16643224
Volume :
14
Database :
Directory of Open Access Journals
Journal :
Frontiers in Immunology
Publication Type :
Academic Journal
Accession number :
edsdoj.3678944685db4f8eaf7e3cde8146b3e4
Document Type :
article
Full Text :
https://doi.org/10.3389/fimmu.2023.1275136