Evidence map›Paper›PMID 38289873›Full record

ArticleCardiovascular research2024

Translatome profiling reveals Itih4 as a novel smooth muscle cell-specific gene in atherosclerosis.

Aarthi Ravindran, Lari Holappa, Henri Niskanen, Ilya Skovorodkin, Susanna Kaisto, Mustafa Beter, Miika Kiema, Ilakya Selvarajan, Valtteri Nurminen, Einari Aavik and 8 more

Open access · hybridAbstract read
In one paragraph

Article in Cardiovascular research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
5.5field-weighted citation impact, top 4% of its field
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

15 citing papers in PubMed, 23 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

18 authors at 3 institutions in 2 countries.

Aarthi RavindranA.I.Virtanen Institute for Molecular Sciences, University of Eastern Finland, Neulaniementie 2, 70211 Kuopio, Finland.ORCID 0000-0002-5783-1409
Lari HolappaA.I.Virtanen Institute for Molecular Sciences, University of Eastern Finland, Neulaniementie 2, 70211 Kuopio, Finland.
Henri NiskanenA.I.Virtanen Institute for Molecular Sciences, University of Eastern Finland, Neulaniementie 2, 70211 Kuopio, Finland.ORCID 0000-0002-8361-5531
Ilya SkovorodkinDisease networks research unit, Faculty of Biochemistry and Molecular Medicine, Kvantum Institute, Infotech Oulu, University of Oulu, Oulu, Finland.
Susanna KaistoDisease networks research unit, Faculty of Biochemistry and Molecular Medicine, Kvantum Institute, Infotech Oulu, University of Oulu, Oulu, Finland.
Mustafa BeterA.I.Virtanen Institute for Molecular Sciences, University of Eastern Finland, Neulaniementie 2, 70211 Kuopio, Finland.
Miika KiemaA.I.Virtanen Institute for Molecular Sciences, University of Eastern Finland, Neulaniementie 2, 70211 Kuopio, Finland.
Ilakya SelvarajanA.I.Virtanen Institute for Molecular Sciences, University of Eastern Finland, Neulaniementie 2, 70211 Kuopio, Finland.
Valtteri NurminenA.I.Virtanen Institute for Molecular Sciences, University of Eastern Finland, Neulaniementie 2, 70211 Kuopio, Finland.
Einari AavikA.I.Virtanen Institute for Molecular Sciences, University of Eastern Finland, Neulaniementie 2, 70211 Kuopio, Finland.
Rédouane AherrahrouA.I.Virtanen Institute for Molecular Sciences, University of Eastern Finland, Neulaniementie 2, 70211 Kuopio, Finland.
Sanna Pasonen-SeppänenInstitute of Biomedicine, School of Medicine, Faculty of Health Sciences, University of Eastern Finland, Kuopio, Finland.
Vittorio FortinoInstitute of Biomedicine, School of Medicine, Faculty of Health Sciences, University of Eastern Finland, Kuopio, Finland.ORCID 0000-0001-8693-5285
Johanna P LaakkonenA.I.Virtanen Institute for Molecular Sciences, University of Eastern Finland, Neulaniementie 2, 70211 Kuopio, Finland.ORCID 0000-0002-8556-9727
Seppo Ylä-HerttualaA.I.Virtanen Institute for Molecular Sciences, University of Eastern Finland, Neulaniementie 2, 70211 Kuopio, Finland.ORCID 0000-0001-7593-2708
Seppo VainioDisease networks research unit, Faculty of Biochemistry and Molecular Medicine, Kvantum Institute, Infotech Oulu, University of Oulu, Oulu, Finland.
Tiit ÖrdA.I.Virtanen Institute for Molecular Sciences, University of Eastern Finland, Neulaniementie 2, 70211 Kuopio, Finland.ORCID 0000-0002-3098-1749
Minna U KaikkonenA.I.Virtanen Institute for Molecular Sciences, University of Eastern Finland, Neulaniementie 2, 70211 Kuopio, Finland.ORCID 0000-0001-6294-0979
University of Eastern Finland · FIUniversity of Oulu · FIUniversität Hamburg · DE

Funding

Academy of Finland 287478Arvid och Greta Olins fondBiocenter Oulu Doctoral ProgrammeDoctoral Programme of Molecular Medicine at University of Eastern FinlandEuropean Research CouncilEuropean Union's Horizon 2020 research and innovation programme 802825Horizon 2020 Framework Programme of the European Union 740264Instrumentarium Science FoundationSigrid Jusélius FoundationSydäntutkimussäätiö 230090UEFUniversity of Eastern Finland Researcher FellowshipVictoriastiftelsen
6 · The paper itself

Abstract

aimsVascular smooth muscle cells (SMCs) and their derivatives are key contributors to the development of atherosclerosis. However, studying changes in SMC gene expression in heterogeneous vascular tissues is challenging due to the technical limitations and high cost associated with current approaches. In this paper, we apply translating ribosome affinity purification sequencing to profile SMC-specific gene expression directly from tissue. METHODS AND

resultsTo facilitate SMC-specific translatome analysis, we generated SMCTRAP mice, a transgenic mouse line expressing enhanced green fluorescent protein (EGFP)-tagged ribosomal protein L10a (EGFP-L10a) under the control of the SMC-specific αSMA promoter. These mice were further crossed with the atherosclerosis model Ldlr-/-, ApoB100/100 to generate SMCTRAP-AS mice and used to profile atherosclerosis-associated SMCs in thoracic aorta samples of 15-month-old SMCTRAP and SMCTRAP-AS mice. Our analysis of SMCTRAP-AS mice showed that EGFP-L10a expression was localized to SMCs in various tissues, including the aortic wall and plaque. The TRAP fraction demonstrated high enrichment of known SMC-specific genes, confirming the specificity of our approach. We identified several genes, including Cemip, Lum, Mfge8, Spp1, and Serpina3, which are known to be involved in atherosclerosis-induced gene expression. Moreover, we identified several novel genes not previously linked to SMCs in atherosclerosis, such as Anxa4, Cd276, inter-alpha-trypsin inhibitor-4 (Itih4), Myof, Pcdh11x, Rab31, Serpinb6b, Slc35e4, Slc8a3, and Spink5. Among them, we confirmed the SMC-specific expression of Itih4 in atherosclerotic lesions using immunofluorescence staining of mouse aortic roots and spatial transcriptomics of human carotid arteries. Furthermore, our more detailed analysis of Itih4 showed its link to coronary artery disease through the colocalization of genome-wide association studies, splice quantitative trait loci (QTL), and protein QTL signals.

conclusionWe generated a SMC-specific TRAP mouse line to study atherosclerosis and identified Itih4 as a novel SMC-expressed gene in atherosclerotic plaques, warranting further investigation of its putative function in extracellular matrix stability and genetic evidence of causality.

Indexed as

Aortic DiseasesAtherosclerosisDisease Models, AnimalMuscle, Smooth, VascularMyocytes, Smooth MusclePlaque, AtheroscleroticRibosomal ProteinsAnimalsAortaApolipoprotein B-100FemaleGene Expression ProfilingGene Expression RegulationGreen Fluorescent ProteinsHumansMaleApolipoprotein B-100Green Fluorescent ProteinsITIH4 protein, humanItih4 protein, mouseProteinase Inhibitory Proteins, SecretoryReceptors, LDLRibosomal ProteinsAtherosclerosisGene regulationItih4Mouse modelsRPL10aSmooth muscle cellsTranslatomeTRAP-seq

Identifiers

PMID38289873
PMCPMC11218691
OpenAlexW4391343719

What Socratic holds

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LicenceCC BY
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Registered trials

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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 Socratic graph.