Evidence map›Paper›PMID 39975288›Full record

ArticlebioRxiv : the preprint server for biology2025

Multi-omic Characterization of HIV Effects at Single Cell Level across Human Brain Regions.

Junchen Yang, Kriti Agrawal, Jay Stanley, Ruiqi Li, Nicholas Jacobs, Haowei Wang, Chang Lu, Rihao Qu, Declan Clarke, Yuhang Chen and 10 more

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

20 authors.

Junchen YangInterdepartmental Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT, USA.ORCID 0000-0003-0988-1564
Kriti AgrawalInterdepartmental Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT, USA.
Jay StanleyProgram in Applied Mathematics, Yale University, New Haven, CT, USA.
Ruiqi LiInterdepartmental Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT, USA.
Nicholas JacobsDepartment of Pathology, Yale University, New Haven, CT, USA.
Haowei WangDepartment of Neurology, Yale University, New Haven, CT, USA.
Chang LuInterdepartmental Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT, USA.
Rihao QuInterdepartmental Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT, USA.
Declan ClarkeDepartment of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT, USA.
Yuhang ChenInterdepartmental Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT, USA.
Yunzhe JiangInterdepartmental Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT, USA.
Donglu BaiInterdepartmental Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT, USA.
Suchen ZhengInterdepartmental Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT, USA.
Howard FoxDepartment of Neurological Sciences, University of Nebraska School of Medicine, Omaha, NB, USA.
Ya-Chi HoDepartment of Microbial Pathogenesis, Yale University, New Haven, CT, USA.
Anita HuttnerDepartment of Pathology, Yale University, New Haven, CT, USA.
Mark GersteinInterdepartmental Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT, USA.
Yuval KlugerInterdepartmental Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT, USA.ORCID 0000-0002-3035-071X
Le ZhangDepartment of Neurology, Yale University, New Haven, CT, USA.ORCID 0000-0002-4860-831X
Serena SpudichDepartment of Neurology, Yale University, New Haven, CT, USA.

Funding

The Y-SCORCH Data Generation Center at Yale for Single-Cell Opioid Responses in the Context of HIVUM1DA051410 · NIDA · YALE UNIVERSITY · PI GERSTEIN, MARK BENDER, KLUGER, YUVAL · 2020 to 2025
$15.3M
The Manhattan HIV Brain BankU24MH100931 · NIMH · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI MORGELLO, SUSAN · 2013 to 2023
$14.0M
California NeuroAIDS Tissue NetworkU24MH100928 · NIMH · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI ACHIM, CRISTIAN L, MOORE, DAVID J · 2013 to 2023
$13.9M
NATIONAL NEUROLOGICAL AIDS BANKU24MH100929 · NIMH · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI SINGER, ELYSE J · 2013 to 2023
$12.5M
Texas NeuroAIDS Research CenterU24MH100930 · NIMH · UNIVERSITY OF TEXAS MED BR GALVESTON · PI GELMAN, BENJAMIN B. · 2013 to 2023
$12.1M
NNTC Data Coordinating CenterU24MH100925 · NIMH · UNIVERSITY OF NEBRASKA MEDICAL CENTER · PI FOX, HOWARD S, SHERMAN, SETH · 2013 to 2022
$9.5M
M-SCORCH: Methamphetamine use disorder data generation center for Single Cell Opioid Responses in the Context of HIVU01DA053628 · NIDA · YALE UNIVERSITY · PI HO, YA-CHI, SESTAN, NENAD · 2021 to 2025
$9.5M
Human and Translational Immunology Training ProgramT32AI155387 · NIAID · YALE UNIVERSITY · PI Joseph Edgar Craft, Kevan C Herold · 2021 to 2026
$2.6M
Immune Network Dysregulation of the Central Nervous System with HIV Persistence and Opioid AbuseDP2DA056169 · NIDA · YALE UNIVERSITY · PI ZHANG, LE · 2022 to 2022
$2.5M
NIAID NIH HHS T32 AI155387NIDA NIH HHS DP2 DA056169NIDA NIH HHS U01 DA053628NIDA NIH HHS UM1 DA051410NIMH NIH HHS U24 MH100925NIMH NIH HHS U24 MH100928NIMH NIH HHS U24 MH100929NIMH NIH HHS U24 MH100930NIMH NIH HHS U24 MH100931
6 · The paper itself

Abstract

HIV infection exerts profound and long-lasting neurodegenerative effects on the central nervous system (CNS) that can persist despite antiretroviral therapy (ART). Here, we used single-nucleus multiome sequencing to map the transcriptomic and epigenetic landscapes of postmortem human brains from 13 healthy individuals and 20 individuals with HIV who have a history of treatment with ART. Our study spanned three distinct regions-the prefrontal cortex, insular cortex, and ventral striatum-enabling a comprehensive exploration of region-specific and cross-regional perturbations. We found widespread and persistent HIV-associated transcriptional and epigenetic alterations across multiple cell types. Detailed analyses of microglia revealed state changes marked by immune activation and metabolic dysregulation, while integrative multiomic profiling of astrocytes identified multiple subpopulations, including a reactive subpopulation unique to HIV-infected brains. These findings suggest that cells from people with HIV exhibit molecular shifts that may underlie ongoing neuroinflammation and CNS dysfunction. Furthermore, cell-cell communication analyses uncovered dysregulated and pro-inflammatory interactions among glial populations, underscoring the multifaceted and enduring impact of HIV on the brain milieu. Collectively, our comprehensive atlas of HIV-associated brain changes reveals distinct glial cell states with signatures of proinflammatory signaling and metabolic dysregulation, providing a framework for developing targeted therapies for HIV-associated neurological dysfunction.

Identifiers

PMID39975288
PMCPMC11839123

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.