Evidence map›Paper›PMID 42907952›Full record

ArticleBMC cardiovascular disorders2026

Comparative evaluation of serum TGF-β1 and PDGF-BB levels across patients with normal coronary arteries, stable coronary artery disease, and acute coronary syndrome.

Veli Küçüksevgili, Haksun Ebinç, Hüseyin Kandemir, Burçin Küçüksevgili, Üçler Kısa

Abstract readComparative Study
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Article in BMC cardiovascular disorders, 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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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Veli KüçüksevgiliDepartment of Cardiology, Karabük Training and Research Hospital, Karabük, Turkey.ORCID http://orcid.org/0000-0002-8368-3817
Haksun EbinçDepartment of Cardiology, Kırıkkale University Faculty of Medicine, Ankara Road Sehitler Campus, Yahsihan, Kırıkkale, 71450, Turkey.ORCID http://orcid.org/0000-0001-5362-5037
Hüseyin KandemirDepartment of Cardiology, Kırıkkale University Faculty of Medicine, Ankara Road Sehitler Campus, Yahsihan, Kırıkkale, 71450, Turkey. dr_hsynkndmr@hotmail.com.ORCID http://orcid.org/0000-0002-4462-7425
Burçin KüçüksevgiliDepartment of Cardiology, Karabük Training and Research Hospital, Karabük, Turkey.ORCID http://orcid.org/0000-0002-9081-4299
Üçler KısaDepartment of Biochemistry, Kırıkkale University Faculty of Medicine, Kırıkkale, Turkey.ORCID http://orcid.org/0000-0002-8131-6810

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo compare serum levels of Transforming Growth Factor-Beta (TGF-β) and Platelet-Derived Growth Factor-BB (PDGF-BB) among patients with normal coronary arteries (NCA) and those with coronary artery disease (CAD) subclasses [stable CAD and acute coronary syndrome (ACS)], and to evaluate their potential diagnostic value and discriminatory power, particularly in identifying stable CAD.

methodsThis single-center, cross-sectional study included 176 patients who underwent coronary angiography. Participants were classified into normal coronary artery (NCA; symptomatic control), stable CAD, and ACS groups. Demographic, clinical, and biochemical data were recorded. Blood samples were collected for the analysis of TGF-β1 and PDGF-BB levels using ELISA kits.

resultsHypertension and diabetes mellitus were significantly more prevalent in the stable CAD group compared to others (p < 0.001). Both TGF-β and PDGF-BB levels were significantly elevated in patients with stable CAD compared to individuals with normal coronary arteries and those with ACS (p < 0.001). Multivariate regression analysis identified hypertension, diabetes, TGF-β, and PDGF-BB as independent predictors of stable CAD (p < 0.01 for all). ROC curve analysis demonstrated good diagnostic performance for TGF-β and PDGF-BB individually (AUC = 0.847, 0.798, respectively), with combined assessment further improving accuracy (AUC = 0.924).

conclusionSerum TGF-β and PDGF-BB levels are significantly increased in stable CAD patients relative to those with ACS and normal coronary anatomy. The combined evaluation of these biomarkers provides high diagnostic accuracy in distinguishing stable CAD, underscoring their potential role in the non-invasive assessment of chronic atherosclerotic disease. These findings support the use of TGF-β and PDGF-BB as complementary biomarkers for early identification and risk stratification in stable CAD.

Indexed as

Acute Coronary SyndromeBecaplerminCoronary Artery DiseaseCoronary VesselsProto-Oncogene Proteins c-sisTransforming Growth Factor beta1AgedBiomarkersCoronary AngiographyCross-Sectional StudiesFemaleHumansMaleMiddle AgedPredictive Value of TestsRisk FactorsBecaplerminBiomarkersProto-Oncogene Proteins c-sisTGFB1 protein, humanTransforming Growth Factor beta1BiomarkersInflammationPlatelet-Derived Growth Factor-BB (PDGF-BB)Stable Coronary Artery Disease (CAD)Transforming Growth Factor-β (TGF-β)

Identifiers

PMID42907952
PMCPMC13688748

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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.