Evidence map›Paper›PMID 41053866›Full record

ArticleGenome medicine2025

MicroRNA gene dynamics in immune cell subpopulations during aging and atherosclerosis disease development at single-cell resolution.

Ana Hernández de Sande, Tanja Turunen, Maria Bouvy-Liivrand, Tiit Örd, Senthil Palani, Mari Lahnalampi, Celia Tundidor-Centeno, Heidi Liljenbäck, Jenni Virta, Henri Niskanen and 9 more

Abstract read
In one paragraph

Article in Genome medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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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

2 citing papers in PubMed.

  1. Review
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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

19 authors.

Ana Hernández de SandeSchool of Medicine, University of Eastern Finland, 70200, Kuopio, North-Savo, Finland.
Tanja TurunenSchool of Medicine, University of Eastern Finland, 70200, Kuopio, North-Savo, Finland.
Maria Bouvy-LiivrandSchool of Medicine, University of Eastern Finland, 70200, Kuopio, North-Savo, Finland.
Tiit ÖrdA. I. Virtanen Institute, University of Eastern Finland, 70200, Kuopio, North-Savo, Finland.
Senthil PalaniTurku PET Centre, University of Turkuand, Turku University Hospital , 20520, Turku, Finland.
Mari LahnalampiSchool of Medicine, University of Eastern Finland, 70200, Kuopio, North-Savo, Finland.
Celia Tundidor-CentenoSchool of Medicine, University of Eastern Finland, 70200, Kuopio, North-Savo, Finland.
Heidi LiljenbäckTurku PET Centre, University of Turkuand, Turku University Hospital , 20520, Turku, Finland.
Jenni VirtaTurku PET Centre, University of Turkuand, Turku University Hospital , 20520, Turku, Finland.
Henri NiskanenA. I. Virtanen Institute, University of Eastern Finland, 70200, Kuopio, North-Savo, Finland.
Buddika JayasinghaSchool of Medicine, University of Eastern Finland, 70200, Kuopio, North-Savo, Finland.
Olli-Pekka SmålanderDepartment of Chemistry and Biotechnology, Tallinn University of Technology, 12616, Tallinn, Estonia.
Lasse SinkkonenDepartment of Life Science and Medicine (DLSM), University of Luxembourg, 4362, Belvaux, Luxembourg.
Lea MikkolaInFLAMES Research Flagship Center, University of Turku, 20520, Turku, Finland.
Thomas SauterDepartment of Life Science and Medicine (DLSM), University of Luxembourg, 4362, Belvaux, Luxembourg.
Anne RoivainenTurku PET Centre, University of Turkuand, Turku University Hospital , 20520, Turku, Finland.
Tapio LönnbergInFLAMES Research Flagship Center, University of Turku, 20520, Turku, Finland.
Minna U KaikkonenA. I. Virtanen Institute, University of Eastern Finland, 70200, Kuopio, North-Savo, Finland.
Merja HeinäniemiSchool of Medicine, University of Eastern Finland, 70200, Kuopio, North-Savo, Finland. merja.heinaniemi@uef.fi.

Funding

Marie Skłodowska-Curie Actions of the European Commission HORIZON-MSCA-2024-PF-101211997Research Council of Finland 3145553, 335964, 335973,314554, 333021, 314556, 335975, 335977, 314557, 295094
6 · The paper itself

Abstract

backgroundRegulatory networks controlling aging and disease trajectories remain incompletely understood. MicroRNAs (miRNAs) are a class of regulatory non-coding RNAs that contribute to the regulation of tissue homeostasis by modulating the stability and abundance of their target mRNAs. MiRNA genes are transcribed similarly to protein-coding genes which has facilitated their annotation and quantification from bulk transcriptomes. Here, we show that droplet, spatial, and plate-based single-cell RNA-sequencing platforms can be used to decipher miRNA gene signatures at cellular resolution to reveal their expression dynamics in vivo.

methodsWe first benchmarked the approach examining concordance between platforms, species, and cell type-specific bulk expression data. To discover changes in miRNA gene expression that could contribute to the progressive loss of cellular homeostasis during aging and disease development, we annotated the comprehensive aging mouse dataset, Tabula Muris Senis, with cell type-specific miRNA expression and acquired transcriptome and translatome profiles from an atherosclerosis disease model.

resultsWe generated an openly available workflow and aging-profile resource to characterize miRNA expression from single-cell genomics studies. Comparing immune cells in spleen tissue between young and old mice revealed concordance with previous functional studies, highlighting the upregulation of mmu-mir-146a, mmu-mir-101a, and mmu-mir-30 family genes involved in senescence and inflammatory pathways. Atherosclerosis progression is reflected within adipose tissue as expansion of the myeloid compartment, with elevated pro-inflammatory mmu-mir-511 expression in several macrophage subtypes. Upregulation of the immunosuppressive mmu-mir-23b ~ mir-24-2 ~ mir-27b locus was specific to Trem2 + lipid-associated macrophages, prevalent at late disease. Accordingly, ribosome-associated RNA profiling from myeloid cells in vivo validated significant mmu-mir-23b target gene enrichment in disease-regulated translatomes. Prominent tissue infiltration of monocytes led to upregulated mmu-mir-1938 and mmu-mir-22 expression and in classical monocytes activated mmu-mir-221 ~ 222, mmu-mir-511, and mmu-mir-155 gene loci, confirmed by bulk nascent transcriptomics data from ex vivo macrophage cultures. Overall, the monocyte-associated changes in miRNA expression represented the most significant target gene associations in the disease-trajectory translatome profiles.

conclusionsWe demonstrate that miRNA gene transcriptional activity is widely impacted in immune cells by aging and during disease development and further identify the corresponding translatome signature of inflamed adipose tissue.

Indexed as

AgingAtherosclerosisMicroRNAsSingle-Cell AnalysisAnimalsDisease Models, AnimalGene Expression ProfilingGene Expression RegulationHumansMiceTranscriptomeMicroRNAsAgingAtherosclerosisHigh-fat dietImmune cellsMiRNA genesSingle-cell transcriptomics

Identifiers

PMID41053866
PMCPMC12502174

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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.