Evidence map›Paper›PMID 40450269›Full record

ArticleCardiovascular diabetology2025

Tenascin-C drives cardiovascular dysfunction in a mouse model of diabetic cardiomyopathy.

Zsuzsanna Arnold, Christopher Dostal, Petra Lujza Szabó, Ibrahim Aykac, Ana Isabel Antunes Goncalves, Silva Laura Sousa, Simge Baydar, Heidi Budde, Barnabás Váradi, György L Nadasy and 14 more

Abstract read
In one paragraph

Article in Cardiovascular diabetology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. The heart of diabetes: unraveling metabolic drivers of cardiomyopathy.Cardiovascular diabetology. Endocrinology reports · 2025
    Review
  7. Review
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

24 authors.

Zsuzsanna ArnoldLudwig Boltzmann Institute for Cardiovascular Research at the Center for Biomedical Research and Translational Surgery, Medical University of Vienna, Wahringer Gürtel 18-20, 1090, Vienna, Austria.
Christopher DostalLudwig Boltzmann Institute for Cardiovascular Research at the Center for Biomedical Research and Translational Surgery, Medical University of Vienna, Wahringer Gürtel 18-20, 1090, Vienna, Austria.
Petra Lujza SzabóLudwig Boltzmann Institute for Cardiovascular Research at the Center for Biomedical Research and Translational Surgery, Medical University of Vienna, Wahringer Gürtel 18-20, 1090, Vienna, Austria.
Ibrahim AykacLudwig Boltzmann Institute for Cardiovascular Research at the Center for Biomedical Research and Translational Surgery, Medical University of Vienna, Wahringer Gürtel 18-20, 1090, Vienna, Austria.
Ana Isabel Antunes GoncalvesLudwig Boltzmann Institute for Cardiovascular Research at the Center for Biomedical Research and Translational Surgery, Medical University of Vienna, Wahringer Gürtel 18-20, 1090, Vienna, Austria.
Silva Laura SousaLudwig Boltzmann Institute for Cardiovascular Research at the Center for Biomedical Research and Translational Surgery, Medical University of Vienna, Wahringer Gürtel 18-20, 1090, Vienna, Austria.
Simge BaydarLudwig Boltzmann Institute for Cardiovascular Research at the Center for Biomedical Research and Translational Surgery, Medical University of Vienna, Wahringer Gürtel 18-20, 1090, Vienna, Austria.
Heidi BuddeCellular and Translational Physiology Department, Institute of Physiology, Ruhr University Bochum, Bochum, Germany.
Barnabás VáradiCardiometabolic and HUN-REN-SU System Pharmacology Research Group, Department of Pharmacology and Pharmacotherapy, Semmelweis University, Budapest, Hungary.
György L NadasyDepartment of Physiology, Faculty of Medicine, Semmelweis University, Budapest, Hungary.
Mária SzekeresDepartment of Morphology and Physiology, Faculty of Health Sciences, Semmelweis University, Budapest, Hungary.
Camilla HageDivision of Cardiology, Department of Medicine, Karolinska Institutet, and Department of Cardiology, Karolinska University Hospital, Stockholm, Sweden.
Lars H LundDivision of Cardiology, Department of Medicine, Karolinska Institutet, and Department of Cardiology, Karolinska University Hospital, Stockholm, Sweden.
Sarah CostantinoCenter for Translational and Experimental Cardiology (CTEC), Zurich University Hospital, University of Zurich, Zurich, Switzerland.
Dietmar AbrahamCenter for Anatomy and Cell Biology, Medical University of Vienna, Vienna, Austria.
Karin ZinsCenter for Anatomy and Cell Biology, Medical University of Vienna, Vienna, Austria.
Seth HallströmLudwig Boltzmann Institute for Cardiovascular Research at the Center for Biomedical Research and Translational Surgery, Medical University of Vienna, Wahringer Gürtel 18-20, 1090, Vienna, Austria.
Martin BilbanDepartment of Laboratory Medicine and Core Facilities (M.B.), Medical University of Vienna, Vienna, Austria.
Bence ÁggCardiometabolic and HUN-REN-SU System Pharmacology Research Group, Department of Pharmacology and Pharmacotherapy, Semmelweis University, Budapest, Hungary.
Nazha HamdaniCellular and Translational Physiology Department, Institute of Physiology, Ruhr University Bochum, Bochum, Germany.
Péter FerdinandyCardiometabolic and HUN-REN-SU System Pharmacology Research Group, Department of Pharmacology and Pharmacotherapy, Semmelweis University, Budapest, Hungary.
Francesco PaneniCenter for Translational and Experimental Cardiology (CTEC), Zurich University Hospital, University of Zurich, Zurich, Switzerland.
Attila KissLudwig Boltzmann Institute for Cardiovascular Research at the Center for Biomedical Research and Translational Surgery, Medical University of Vienna, Wahringer Gürtel 18-20, 1090, Vienna, Austria. attila.kiss@meduniwien.ac.at.
Bruno K PodesserLudwig Boltzmann Institute for Cardiovascular Research at the Center for Biomedical Research and Translational Surgery, Medical University of Vienna, Wahringer Gürtel 18-20, 1090, Vienna, Austria.

Funding

DFG (Deutsche Forschungsgemeinschaft) HA 7512/2-4 and HA 7512/2-1EFOP-3.6.3-VEKOP-16-2017-00009 EFOP-3.6.3-VEKOP-16-2017-00009EU's Horizon 2020 research and innovation program under grant agreement No. 739593HUN-REN Hungarian Research Network and from the Semmelweis Lendület 2024 grant Lendület 2024InnovationsFoRUM program of the Medical Faculty, RUB No. IF-023-22 and No. IF-034-22Karolinska Institutet, the Swedish Research Council 523-2014-2336Medical-Scientific Fund of the Mayor of the City of Vienna (Project-Number: 21001) ); Austrian-Hungarian Action Foundation project no. 98öu4 and 104öu5 to A.K and Ludwig Boltzmann Institute for Cardiovascular Research (CARREM project line, 2020-2024) Project-Number: 21001Stockholm County Council FoUI-974688support provided by the European Union RRF-2.3.1-21-2022-00003Swedish Heart Lung Foundation 20190310, 20220540
6 · The paper itself

Abstract

backgroundDiabetic cardiomyopathy (DCM) is a complex condition linked to diabetes, characterized by cardiac and vascular dysfunction, frequently concomitant with heart failure with preserved ejection fraction. The extracellular matrix glycoprotein Tenascin-C (TNC) has been found to be upregulated under diabetic conditions. However, the potential contributory role of TNC in the progression of DCM remains largely unclear. This study was designed to elucidate the role of TNC in the pathogenesis of DCM.

methodsDiabetes was induced in adult male wild-type (WT) and TNC knockout (TNC-KO) mice, through the administration of streptozotocin (50 mg/kg) for five consecutive days. At 18 weeks cardiac and aortic vascular function was evaluated using echocardiography and wire myography. Myocardium and plasma samples were collected for biochemical, histological, and molecular analyses. Cardiomyocytes and cardiac fibroblasts were used to investigate the impact of diabetes on TNC expression, inflammation, myocardial stiffness and function. Additionally, transcriptomic analysis of cardiac tissue by RNA-sequencing was conducted. Plasma TNC levels were assessed by enzyme-linked immunosorbent assay in cohorts of heart failure patients and type 2 diabetes mellitus.

resultsTNC-KO diabetic mice showed preserved left ventricular systolic and diastolic function, significantly reduced cardiac fibrosis and mitigated endothelial dysfunction compared to WT diabetic animals. Compared with cardiomyocytes of diabetic WT animals, cardiomyocytes of TNC-KO mice developed less stiffness (Fpassive). Additionally, exposing mouse cardiomyocytes and human cardiac fibroblasts to high glucose stress (30 mM) led to a significant increase in TNC expression. Conversely, recombinant human TNC promoted pro-inflammatory and oxidative stress markers in cardiomyocytes. The role of TNC in fibrosis and DCM was found to involve pathways related to p53 signaling and Serpin1k, Ccn1, Cpt1a, and Slc27a1, as identified by RNA sequencing analysis. Additionally, plasma TNC levels were significantly elevated in patients with heart failure, irrespective of diabetes status, compared to healthy individuals.

conclusionsOur findings indicate that in diabetes, TNC contributes to cardiac contractile dysfunction, myocardial fibrosis, oxidative stress, inflammation, and metabolic disturbances in diabetic mouse heart. These results implicate the potential of TNC inhibition as a novel therapeutic approach for treating DCM.

Indexed as

Diabetes Mellitus, ExperimentalDiabetes Mellitus, Type 2Diabetic CardiomyopathiesMyocytes, CardiacTenascinVentricular Dysfunction, LeftVentricular Function, LeftAnimalsCase-Control StudiesCells, CulturedFibrosisHeart FailureHumansMaleMice, Inbred C57BLMice, KnockoutTenascinTNC protein, humanTnc protein, mouseDiabetic cardiomyopathyFibrosisHeart failure pathophysiologyInflammationTenascin-C

Identifiers

PMID40450269
PMCPMC12125828

What Socratic holds

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LicenceCC BY-NC-ND
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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.