Evidence map›Paper›PMID 30232286›Full record

ArticleJCI insight2018

Single-cell RNA sequencing reveals microglia-like cells in cerebrospinal fluid during virologically suppressed HIV.

Shelli F Farhadian, Sameet S Mehta, Chrysoula Zografou, Kevin Robertson, Richard W Price, Jenna Pappalardo, Jennifer Chiarella, David A Hafler, Serena S Spudich

Abstract read
In one paragraph

Article in JCI insight, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 86 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
86citing papers in PubMed, 2 pooled it
–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

86 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Single-cell RNA sequencing offers novel perspectives in viral infection research.Frontiers in cellular and infection microbiology · 2026
    Pooled it
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  14. Type I Interferon Signaling Augments Autoimmunity in Neuromyelitis Optica Spectrum Disorder.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Article
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  18. Review
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26 more citing papers are in PubMed but not listed here.

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

9 authors.

Shelli F FarhadianDepartment of Medicine, Section of Infectious Diseases.
Sameet S MehtaYale Center for Genome Analysis, and.
Chrysoula ZografouDepartment of Neurology.
Kevin RobertsonDepartment of Neurology, University of North Carolina, Chapel Hill, North Carolina, USA.
Richard W PriceDepartment of Neurology, University of California San Francisco, San Francisco, California, USA.
Jenna PappalardoYale Center for Genome Analysis, and.
Jennifer ChiarellaDepartment of Neurology.
David A HaflerDepartment of Neurology.
Serena S SpudichDepartment of Neurology.

Funding

Yale Study Support Suite (YES3): Dashboard and Web Portal Software Supporting Research Workflow through integrated, customizable REDCap External ModulesP30AG021342 · NIA · YALE UNIVERSITY · PI Albert C Shaw · 2002 to 2026
$37.9M
TCR recognition of MHC class II peptide compexes in multiple sclerosisP01AI045757 · NIAID · DANA-FARBER CANCER INSTITUTE · PI KUCHROO, VIJAY K., LOVE, JOHN CHRISTOPHER · 1999 to 2017
$22.8M
Yale Training Program in Geriatric Clinical Epidemiology and Aging-Related ResearchT32AG019134 · NIA · YALE UNIVERSITY · PI Terri R. Fried · 2001 to 2026
$7.5M
TRAINING IN THE PATHOGENESIS OF INFECTIOUS DISEASEST32AI007517 · NIAID · YALE UNIVERSITY · PI Jaimie Meyer, Albert C Shaw · 1997 to 2026
$6.1M
Compartmentalized CSF viral escape and the CNS HIV reservoirR01NS094067 · NINDS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI PRICE, RICHARD W. · 2015 to 2020
$3.9M
High Performance Computing Instrumentation for the Yale Center for Genome AnalysisS10OD030363 · OD · YALE UNIVERSITY · PI MANE, SHRIKANT M · 2022 to 2022
$1.2M
High Performance Computing Instrumentation for the Yale Center for Genome AnalysiS10OD018521 · OD · YALE UNIVERSITY · PI MANE, SHRIKANT M · 2015 to 2015
$890k
Single cell RNAseq of CSF to Dissect CNS Cellular Perturbations in Long-term Treated HIVR21MH118109 · NIMH · YALE UNIVERSITY · PI SPUDICH, SERENA S · 2018 to 2019
$461k
NIAID NIH HHS P01 AI045757NIAID NIH HHS T32 AI007517NIA NIH HHS P30 AG021342NIA NIH HHS T32 AG019134NIH HHS S10 OD018521NIH HHS S10 OD030363NIMH NIH HHS R21 MH118109NINDS NIH HHS R01 NS094067
6 · The paper itself

Abstract

Central nervous system (CNS) immune activation is an important driver of neuronal injury during several neurodegenerative and neuroinflammatory diseases. During HIV infection, CNS immune activation is associated with high rates of neurocognitive impairment, even during sustained long-term suppressive antiretroviral therapy (ART). However, the cellular subsets that drive immune activation and neuronal damage in the CNS during HIV infection and other neurological conditions remain unknown, in part because CNS cells are difficult to access in living humans. Using single-cell RNA sequencing (scRNA-seq) on cerebrospinal fluid (CSF) and blood from adults with and without HIV, we identified a rare (<5% of cells) subset of myeloid cells that are found only in CSF and that present a gene expression signature that overlaps significantly with neurodegenerative disease-associated microglia. This highlights the power of scRNA-seq of CSF to identify rare CNS immune cell subsets that may perpetuate neuronal injury during HIV infection and other conditions.

Indexed as

Sequence Analysis, RNAAdultAnti-HIV AgentsAntiretroviral Therapy, Highly ActiveBloodCentral Nervous SystemCerebrospinal FluidGene ExpressionHIV InfectionsHumansInflammationMicrogliaMyeloid CellsNeurodegenerative DiseasesAnti-HIV AgentsAIDS/HIVInflammationNeurological disorders

Identifiers

PMID30232286
PMCPMC6237230

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.