Evidence map›Paper›PMID 38554187›Full record

ArticleBasic research in cardiology2024

Role of inflammatory signaling pathways involving the CD40-CD40L-TRAF cascade in diabetes and hypertension-insights from animal and human studies.

Lea Strohm, Andreas Daiber, Henning Ubbens, Roopesh Krishnankutty, Matthias Oelze, Marin Kuntic, Omar Hahad, Veronique Klein, Imo E Hoefer, Alex von Kriegsheim and 9 more

Open access · hybridAbstract read
In one paragraph

Article in Basic research in cardiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.2field-weighted citation impact, top 13% 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

9 citing papers in PubMed, 9 citations in OpenAlex.

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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 at 7 institutions in 4 countries.

Lea Strohm *Department of Cardiology, Cardiology I, University Medical Center of the Johannes Gutenberg-University, Mainz, Germany.
Andreas Daiber *Department of Cardiology, Cardiology I, University Medical Center of the Johannes Gutenberg-University, Mainz, Germany. daiber@uni-mainz.de.ORCID 0000-0002-2769-0094
Henning UbbensDepartment of Cardiology, Cardiology I, University Medical Center of the Johannes Gutenberg-University, Mainz, Germany.
Roopesh KrishnankuttyInstitute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK.
Matthias OelzeDepartment of Cardiology, Cardiology I, University Medical Center of the Johannes Gutenberg-University, Mainz, Germany.
Marin KunticDepartment of Cardiology, Cardiology I, University Medical Center of the Johannes Gutenberg-University, Mainz, Germany.
Omar HahadDepartment of Cardiology, Cardiology I, University Medical Center of the Johannes Gutenberg-University, Mainz, Germany.
Veronique KleinDepartment of Cardiology, Cardiology I, University Medical Center of the Johannes Gutenberg-University, Mainz, Germany.
Imo E HoeferCentral Diagnostic Laboratory, UMC Utrecht, Utrecht, The Netherlands.
Alex von KriegsheimInstitute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK.
Hartmut KleinertDepartment of Pharmacology, University Medical Center of the Johannes Gutenberg-University, Mainz, Germany.
Dorothee AtzlerInstitute for Cardiovascular Prevention (IPEK), Ludwig-Maximilians Universität, Munich, Germany.
Philipp LurzDepartment of Cardiology, Cardiology I, University Medical Center of the Johannes Gutenberg-University, Mainz, Germany.
Christian WeberInstitute for Cardiovascular Prevention (IPEK), Ludwig-Maximilians Universität, Munich, Germany.
Philipp S WildPreventive Cardiology and Preventive Medicine, Department of Cardiology, University Medical Mainz, Johannes Gutenberg-University Mainz, Mainz, Germany.
Thomas MünzelDepartment of Cardiology, Cardiology I, University Medical Center of the Johannes Gutenberg-University, Mainz, Germany.
Christoph KnosallaDepartment of Cardiothoracic and Vascular Surgery, Deutsches Herzzentrum der Charité, Berlin, Germany.
Esther LutgensInstitute for Cardiovascular Prevention (IPEK), Ludwig-Maximilians Universität, Munich, Germany.
Steffen DaubDepartment of Cardiology, Cardiology I, University Medical Center of the Johannes Gutenberg-University, Mainz, Germany.
Johannes Gutenberg University Mainz · DEEdinburgh Cancer Research · GBGerman Centre for Cardiovascular Research · DEHumboldt-Universität zu Berlin · DEMaastricht University · NLMayo Clinic · USUniversity Medical Center Utrecht · NL

Funding

Deutsches Zentrum für Herz-Kreislaufforschung shared expertise grant 81X2210121Deutsches Zentrum für Herz-Kreislaufforschung translational research grantElse Kröner-Fresenius-Stiftung 2019_A110European Cooperation in Science and Technology COST Action EU-CARDIOPROTECTION (CA16225)European Cooperation in Science and Technology COST Innovation Grant IMPACT
6 · The paper itself

Abstract

CD40L-CD40-TRAF signaling plays a role in atherosclerosis progression and affects the pathogenesis of coronary heart disease (CHD). We tested the hypothesis that CD40L-CD40-TRAF signaling is a potential therapeutic target in hyperlipidemia, diabetes, and hypertension. In mouse models of hyperlipidemia plus diabetes (db/db mice) or hypertension (1 mg/kg/d angiotensin-II for 7 days), TRAF6 inhibitor treatment (2.5 mg/kg/d for 7 or 14 days) normalized markers of oxidative stress and inflammation. As diabetes and hypertension are important comorbidities aggravating CHD, we explored whether the CD40L-CD40-TRAF signaling cascade and their associated inflammatory pathways are expressed in CHD patients suffering from comorbidities. Therefore, we analyzed vascular bypass material (aorta or internal mammary artery) and plasma from patients with CHD with diabetes and/or hypertension. Our Olink targeted plasma proteomic analysis using the IMMUNO-ONCOLOGY panel revealed a pattern of step-wise increase for 13/92 markers of low-grade inflammation with significant changes. CD40L or CD40 significantly correlated with 38 or 56 other inflammatory targets. In addition, specific gene clusters that correlate with the comorbidities were identified in isolated aortic mRNA of CHD patients through RNA-sequencing. These signaling clusters comprised CD40L-CD40-TRAF, immune system, hemostasis, muscle contraction, metabolism of lipids, developmental biology, and apoptosis. Finally, immunological analysis revealed key markers correlated with comorbidities in CHD patients, such as CD40L, NOX2, CD68, and 3-nitrotyrosine. These data indicate that comorbidities increase inflammatory pathways in CHD, and targeting these pathways will be beneficial in reducing cardiovascular events in CHD patients with comorbidities.

Indexed as

CD40 AntigensCD40 LigandHypertensionSignal TransductionAgedAnimalsCoronary DiseaseFemaleHumansInflammationMaleMiceMice, Inbred C57BLMiddle AgedTNF Receptor-Associated Factor 6CD40 AntigensCD40 LigandTNF Receptor-Associated Factor 6TRAF6 protein, mouseCD40L–CD40–TRAF6 axisComorbiditiesCoronary heart diseaseDiabetesHypertensionInflammationOxidative stress

Identifiers

PMID38554187
PMCPMC11319409
OpenAlexW4393345333

What OpenQuestion holds

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LicenceCC BY
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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 OpenQuestion graph.