Assessment of serum caveolin-3 levels in patients with heart failure
Ahmet Süsenbük1, Hakan Kaya2, Sabri Abuş2
1Department of Cardiology, Abdülkadir Yüksel State Hospital, Gaziantep, Türkiye.
Insights
Serum caveolin-3 (Cav-3) is elevated in chronic heart failure (HF) patients, improving diagnostic accuracy when combined with NT-proBNP. However, Cav-3 does not independently predict ejection fraction in HF.
Area of Science:
- Cardiology
- Biomarker Research
- Molecular Biology
Background:
- Heart failure (HF) involves ventricular dysfunction, with caveolin-3 (Cav-3) crucial for cardiomyocyte structure.
- The precise role of Cav-3 in chronic HF pathogenesis and its biomarker potential remain unclear.
Purpose of the Study:
- To investigate serum Cav-3 concentrations in patients with chronic heart failure (HF).
- To evaluate Cav-3 as a potential diagnostic biomarker for HF.
Main Methods:
- A case-control study involving 45 HF patients and 45 matched healthy controls.
- Serum Cav-3 levels were measured using ELISA, alongside echocardiography and NT-proBNP.
- Statistical analysis compared parameters between HF and control groups.
Main Results:
- HF patients exhibited adverse cardiac remodeling and higher serum Cav-3 levels compared to controls.
- Serum Cav-3, combined with NT-proBNP, improved diagnostic accuracy (AUC 0.878) for HF.
- Cav-3 did not independently predict ejection fraction in multivariable analysis.
Conclusions:
- Elevated serum Cav-3 in chronic HF aids diagnosis when used with NT-proBNP.
- Cav-3 functions as an adjunctive biomarker, not a standalone predictor of cardiac function.
- Further multicenter studies are needed to validate Cav-3's clinical utility.
Background:
Heart failure (HF) is a complex syndrome caused by structural and functional abnormalities that impair ventricular filling and ejection. Caveolin-3 (Cav-3), a muscle-specific membrane protein, is essential for T-tubule formation and maintenance in cardiomyocytes. Although caveolin deficiency leads to severe cardiac phenotypes, Cav-3's specific mechanistic role in chronic HF remains insufficiently defined.
Objective:
The principal objective of this investigation was to assess serum Cav-3 concentrations in patients diagnosed with chronic HF.
Methods:
This case-control study encompassed 90 participants, comprising 45 individuals with chronic HF (HF group) and 45 age- and sex-matched healthy controls (non-HF group). Blood specimens were obtained from both groups, and Cav-3 concentrations were quantified utilizing the enzyme-linked immunosorbent assay (ELISA) methodology. In addition, all participants underwent comprehensive transthoracic echocardiography (TTE). Both echocardiographic and laboratory parameters, including Cav-3 levels, were systematically compared between the two cohorts.
Results:
Among 90 participants (45 HF; 45 matched controls), HF patients showed typical adverse remodeling [LVEF 35% [20-50] vs. 60% [55-65], p < 0.001] and higher inflammatory/coagulation activity. Median serum Cav-3 was higher in HF than controls [4.83 [4.34-5.60] vs. 3.97 [3.30-4.96] ng/L; p < 0.001]. On ROC analysis, NT-proBNP provided the strongest single-marker discrimination (AUC 0.850; cutoff 254.50 pg/ml; sensitivity 79.5%; specificity 80.0%), Cav-3 alone showed moderate accuracy (AUC 0.705; cutoff 4.36 ng/L; sensitivity 75.0%; specificity 73.3%), and the Cav-3 + NT-proBNP combination achieved the highest AUC (0.878; sensitivity 81.8%; specificity 84.4%; p < 0.001). In multivariable models predicting EF, WBC, NT-proBNP, and ESR were independent negative predictors, whereas Cav-3 was not significant after adjustment. Cav-3 concentrations were higher in HFrEF and HFmrEF vs. controls, with no difference between HF subgroups.
Conclusions:
Serum Cav-3 is elevated in chronic HF and enhances diagnostic discrimination when added to NT-proBNP, but does not independently predict EF after adjustment. These findings support Cav-3 as an adjunctive-rather than stand-alone-biomarker within a multimarker strategy. Prospective multicenter studies should validate reproducibility, define clinically actionable thresholds, and quantify incremental value over natriuretic peptide-based and multimarker baselines.
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