Evidence map›Paper›PMID 41890845›Full record

ArticleResearch square2026

Time-dependent changes in monocyte subsets and gene expression patterns are associated with long-term recovery in patients with ischemic stroke.

Juliane Tampé, Emanuela Monni, Yu-Ping Shen, Sara Palma-Tortosa, Emil Brogårdh, Arne Lindgren, Zaal Kokaia

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In one paragraph

Article in Research square, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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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

7 authors.

Juliane TampéLund University.
Emanuela MonniLund University.
Yu-Ping ShenNational Defense Medical Center.
Sara Palma-TortosaLund University.
Emil BrogårdhLund University.
Arne LindgrenLund University.
Zaal KokaiaLund University.

Funding

CNV And Stroke (CaNVAS)R01NS114045 · NINDS · UNIVERSITY OF MARYLAND BALTIMORE · PI COLE, JOHN W. · 2020 to 2024
$2.6M
NINDS NIH HHS R01 NS114045
6 · The paper itself

Abstract

Background: Post-stroke inflammation is increasingly recognized as a dynamic process that influences neurological recovery. However, how circulating monocyte subsets and their transcriptional programs evolve in relation to long-term functional outcomes in humans remains poorly defined. The objective of this study was to characterize the temporal dynamics of circulating monocyte subsets and their gene-expression profiles after ischemic stroke, and to identify immune signatures associated with neurological recovery, as assessed by longitudinal changes in the NIH Stroke Scale (NIHSS). Main text: Blood samples were collected from 37 patients with ischemic stroke at four time points: 24 hours, 3-5 days, 1 and 3 months after stroke, and from 37 age- and gender-matched control subjects. Monocyte subsets were quantified by flow cytometry. Gene expression profiling of isolated monocytes was performed using Fluidigm, with quantitative transcriptional analysis of immune-related genes. Longitudinal changes in monocyte subtype frequencies and gene expression were assessed, along with associations among immune parameters, sex, and neurological outcomes, to identify recovery-linked immune trajectories.Total circulating monocyte levels increased during the acute and early subacute phases, with outcome- and sex-dependent differences. Classical monocytes declined at 3 months, whereas intermediate monocytes increased at 3-5 days in patients with favorable recovery.Gene expression analyses showed early attenuation of inflammatory and costimulatory signaling. Low TSPO expression at 24 hours was associated with greater neurological deficit, as indicated by higher NIHSS, and reduced CD86 and IL-1β expression at 3-5 days was observed in patients with more severe neurological impairment. At 3 months, increased CCR2 expression suggested ongoing monocyte recruitment and persistent immune activity. Increased expression of CD91, CD36, and TGM2 was associated with favorable outcomes, whereas higher expression of CD11c, CCR2, and CX3CR1 was associated with a poorer prognosis. CD91 emerged as a marker associated with greater longitudinal improvement in NIHSS, and CD36 expression in intermediate monocytes revealed a previously unrecognized immune signature linked to recovery in human stroke. Conclusions: These findings demonstrate that stroke recovery is associated with coordinated, time-dependent reprogramming of circulating monocytes rather than persistent inflammatory activation. Identification of monocyte-based transcriptional signatures associated with functional outcomes supports the potential of immune profiling to improve prognostic stratification and inform future immune-targeted strategies for stroke recovery.

Indexed as

Gene expressionImmune trajectoriesIschemic strokeMonocytesNeuroinflammationNeurological recovery

Identifiers

PMID41890845
PMCPMC13015582

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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.