Next Article in Journal
Epigenetics of Hypertensive Nephropathy
Previous Article in Journal
Effect of Comparable Carbon Chain Length Short- and Branched-Chain Fatty Acids on Adipokine Secretion from Normoxic and Hypoxic Lipopolysaccharide-Stimulated 3T3-L1 Adipocytes
Previous Article in Special Issue
Adipocyte-Mediated Electrophysiological Remodeling of PKP-2 Mutant Human Pluripotent Stem Cell-Derived Cardiomyocytes
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Editorial

Prognostic Value of Circulating Biomarkers of Fibrotic Remodeling in Arrhythmogenic Cardiomyopathy

by
Stephen P. Chelko
Department of Biomedical Sciences, Florida State University College of Medicine, Tallahassee, FL 32306, USA
Biomedicines 2024, 12(11), 2623; https://doi.org/10.3390/biomedicines12112623
Submission received: 29 October 2024 / Revised: 11 November 2024 / Accepted: 14 November 2024 / Published: 16 November 2024
(This article belongs to the Special Issue Advanced Research in Arrhythmogenic Cardiomyopathy)
Arrhythmogenic cardiomyopathy (ACM) is a nonischemic, familial heart disease with a high risk of sudden cardiac death (SCD) in the pediatric population and accounts for >20% of SCDs worldwide [1,2,3,4,5]. ACM disease progression worsens in an age-dependent manner and is characterized by cardiomyocyte cell death, ventricular dysfunction, wall motion abnormalities, and arrhythmias [6,7]. Myocardial inflammation is a pathological hallmark of ACM and has been considered to be the result of both infiltrating immune cells and NFĸB-mediated transcription of inflammatory cytokines from cardiomyocytes harboring pathogenic variants in desmosomal genes [6,7,8,9,10,11]. These episodic and chronic inflammatory states, often referred to as “Hot Phases” of ACM, leads to cardiomyocyte cell death and extensive fibrotic remodeling [6,7,8,9,10,11]. Although mechanisms that culminate in fibrotic remodeling in ACM are not fully understood, unfortunately, even standard imaging techniques can lead to a misdiagnosis of myocarditis [12]. Thus, a reliable, sensitive, and non-invasive circulating biomarker could be an invaluable diagnostic tool to discriminate between myocarditis and ACM. A distinction that would afford both the clinician and the patient by providing a means to track disease progression via elevations in circulating molecules (i.e., serve as an effective prognostic biomarker).
Extensive fibrotic remodeling predisposes the heart to potentially life-threating fatal arrhythmias, such as reentrant ventricular tachycardia (VT) [13,14]. Although antiarrhythmics and implantable cardioverter defibrillators (ICDs) are mainstays in disease management, they do not provide meaningful information on the presence or extent of myocardial fibrosis. Invasive retrieval of an endomyocardial biopsy (EMB) was once routinely used as a diagnostic Task Force Criteria (TFC) of ACM, as it could determine the extent of fibrotic replacement of myocardium (i.e., <60% of residual myocytes) [15,16]. Yet, the utilization of this diagnostic technique is declining due to its inherent risk during recovery, as well as the potential to generate false-positives as a result of an EMB obtained from an unaffected region of the ventricle [17]. Alternatively, cardiac magnetic resonance imaging (MRI) is a non-invasive diagnostic imaging technique used to assess both cardiac function and the presence of fibrotic/inflammatory myocardium when late gadolinium enhancement (LGE) is employed [15,16]. Considering patients with ACM have frequent clinical follow-ups, concern is warranted with the repeated use of LGE dye in patients with comorbidities, such as liver cirrhosis and/or chronic kidney disease [18,19,20]. Alternatively, circulating biomarkers could serve as a routine, sensitive, and non-invasive technique to detect fibrotic cardiac remodeling. Moreso, it could be a potentially useful correlative tool as a biomarker of electrocardiographic (ECG) alterations and arrhythmic risk. Ultimately, this prognostic approach would eliminate any adverse events associated with the retrieval of an invasive EMB and/or LGE-mediated exacerbation of existing comorbidities.
In this Special Issue of Biomedicines, Van der Voorn and colleagues provide strong correlative evidence between the levels of circulating carboxy-terminal propeptide procollagen type-I (PICP) and carboxy-terminal telopeptide type-I collagen (ICTP) with cardiac function in patients with ACM [21]. Collagen is an essential component of the cardiac extracellular matrix (ECM), maintaining the mechanical and structural integrity of the heart. As such, collagen type IA (COL1A1) comprises 85% of collagen isoforms [22,23,24]. Elevated levels of PICP, the fibrillar collagenous component COL1A1, have been indexed in EMBs, the coronary sinus, and the peripheral vasculature as a biomarker of myocardial fibrosis in patients with heart failure, hypertrophic cardiomyopathy, and dilated cardiomyopathy [25,26,27]. During collagen proteasomal degradation, matrix metalloproteinases (MMPs) degrade myocardial ECM, releasing PICP and ICTP into the vasculature [25,26]. Thus, circulating levels of PICP and ICTP function as indirect markers of fibrosis-induced cardiac remodeling.
As such, in this Special Issue of Biomedicines—Advanced Research in Arrhythmogenic Cardiomyopathy—Van der Voorn and colleagues assessed whether circulating levels of PICP and ICTP correlated with myocardial fibrosis and cardiac function in patients with ACM [21]. Van der Voorn and colleagues provided robust data demonstrating the correlative relationship between patient proband status, TFC score, and cardiac function (e.g., %LVEF and %RVEF) with circulating levels of PICP and ICTP [21]. Unfortunately, no such correlations existed with ECG depolarization/repolarization abnormalities, such as QRS duration, the number of T-wave inversions in precordial leads V1–V6, terminal activation delay (TAD), and/or bundle branch block [21]. Although there was no such correlation between PICP and ICTP levels and ECG anomalies, these biomarkers do appear to be indispensable tools that could temporally track functional and pathological phenotypes during disease progression in patients with ACM [28,29]. For example, a recent report by Bacmeister L et al, demonstrated that patients with myocarditis displayed elevated serum levels of MMP-1 and PICP compared to patients with a myocardial infarction (MI) [30].
Considering ACM is a rare disease, it should be noted that Van der Voorn et al. were able to enroll a considerable cohort sample size (i.e., n = 45 patients) [21], as sample procurement can often be difficult to acquire for rare diseases. Additionally, their cohort consisted of patients who met TFC [15,16] for ACM (n = 35; 78%) and those who were gene carriers yet did not meet TFC (n = 10; 22%). The Editor applauds the authors for also stipulating certain limitations of their study. These included (i) the exact cellular and/or organismal origin of PICP and ICTP, (ii) the fact that blood collection and clinical data were not taken on the same day, and (iii) whether patients suffered from non-cardiac comorbidities associated with fibrotic remodeling (e.g., liver cirrhosis). However, one important limitation should be noted—the venous blood collected for this study utilized both sera and plasma samples [21]. While sera comprises a much larger portion of blood, it is more sensitive than plasma for the detection of biomarkers [31]. Yet, biomarker levels are more reproducible in plasma and are associated with a stronger predictive power than serum [31]. Lastly, plasma contains fibrinogen due to the presence of EDTA during venous collection, and thus, it additionally contains immunoglobulins and, inevitably, more protein [32].
To conclude, while circulating PICP and ICTP levels showed no correlation with the ECG parameters provided, a much larger study population may provide an assessment of whether PICP and ICTP levels correlate with the percentage of ectopic beats, bouts of non-sustained VT and sustained VT, and/or ICD discharges. Given the subtle but important differences between serum and plasma, these studies would undoubtedly provide more sensitivity and specificity if all venous blood was collected and processed identically. Notwithstanding, the findings by Van der Voorn and colleagues—in combination with those reported by Bacmeister L et al. [30]—indicate elevated levels of circulating PICP and ICTP and appear to be a reliable prognostic indicator of non-ischemic cardiac injury.

Conflicts of Interest

The authors declare no conflicts of interest.

References

  1. Corrado, D.; Basso, C.; Pavei, A.; Michieli, P.; Schiavon, M.; Thiene, G. Trends in Sudden Cardiovascular Death in Young Competitive Athletes After Implementation of a Preparticipation Screening Program. JAMA 2006, 296, 1593–1601. [Google Scholar] [CrossRef] [PubMed]
  2. Cicenia, M.; Drago, F. Arrhythmogenic Cardiomyopathy: Diagnosis, Evolution, Risk Stratification and Pediatric Population—Where Are We? J. Cardiovasc. Dev. Dis. 2022, 9, 98. [Google Scholar] [CrossRef] [PubMed]
  3. Chungsomprasong, P.; Hamilton, R.; Luining, W.; Fatah, M.; Yoo, S.-J.; Grosse-Wortmann, L. Left Ventricular Function in Children and Adolescents with Arrhythmogenic Right Ventricular Cardiomyopathy. Am. J. Cardiol. 2017, 119, 778–784. [Google Scholar] [CrossRef] [PubMed]
  4. DeWitt, E.S.; Chandler, S.F.; Hylind, R.J.; Beausejour Ladouceur, V.; Blume, E.D.; VanderPluym, C.; Powell, A.J.; Fynn-Thompson, F.; Roberts, A.E.; Sanders, S.P.; et al. Phenotypic Manifestations of Arrhythmogenic Cardiomyopathy in Children and Adolescents. J. Am. Coll. Cardiol. 2019, 74, 346–358. [Google Scholar] [CrossRef] [PubMed]
  5. Roudijk, R.W.; Verheul, L.; Bosman, L.P.; Bourfiss, M.; Breur, J.M.; Slieker, M.G.; Blank, A.C.; Dooijes, D.; van der Heijden, J.F.; Heuvel, F.v.D.; et al. Clinical Characteristics and Follow-Up of Pediatric-Onset Arrhythmogenic Right Ventricular Cardiomyopathy. JACC Clin. Electrophysiol. 2022, 8, 306–318. [Google Scholar] [CrossRef]
  6. Corrado, D.; Van Tintelen, P.J.; McKenna, W.J.; Hauer, R.N.W.; Anastastakis, A.; Asimaki, A.; Basso, C.; Bauce, B.; Brunckhorst, C.; Bucciarelli-Ducci, C.; et al. International Experts. Arrhythmogenic right ventricular cardiomyopathy: Evalu-ation of the current diagnostic criteria and differential diagnosis. Eur. Heart J. 2020, 41, 1414–1429. [Google Scholar] [CrossRef]
  7. Marcus, F.I.; McKenna, W.J.; Sherrill, D.; Basso, C.; Bauce, B.; Bluemke, D.A.; Calkins, H.; Corrado, D.; Cox, M.G.; Daubert, J.P.; et al. Diagnosis of arrhythmogenic right ventricular cardiomyopathy/dysplasia: Proposed Modification of the Task Force Criteria. Eur. Heart J. 2010, 31, 806–814. [Google Scholar] [CrossRef]
  8. Chelko, S.P.; Penna, V.R.; Engel, M.; Shiel, E.A.; Centner, A.M.; Farra, W.; Cannon, E.N.; Landim-Vieira, M.; Schaible, N.; Lavine, K.; et al. NFĸB signaling drives myocardial injury via CCR2+ macrophages in a preclinical model of arrhythmogenic cardiomyopathy. J. Clin. Investig. 2024, 134, e172014. [Google Scholar] [CrossRef]
  9. Chelko, S.; Asimaki, A.; Lowenthal, J.; Bueno-Beti, C.; Bedja, D.; Scalco, A.; Amat-Alarcon, N.; Andersen, P.; Judge, D.P.; Tung, L.; et al. Therapeutic Modulation of the Immune Response in Arrhythmogenic Cardiomyopathy. Circulation 2019, 140, 1491–1505. [Google Scholar] [CrossRef]
  10. Corrado, D.; Basso, C.; Thiene, G.; McKenna, W.J.; Davies, M.J.; Fontaliran, F.; Nava, A.; Silvestri, F.; Blomstrom-Lundqvist, C.; Wlodarska, E.K.; et al. Spectrum of Clinicopathologic Manifestations of Arrhythmogenic Right Ventricular Cardiomyopathy/Dysplasia: A Multicenter Study. J. Am. Coll. Cardiol. 1997, 30, 1512–1520. [Google Scholar] [CrossRef]
  11. Marcus, F.I.; Fontaine, G.H.; Guiraudon, G.; Frank, R.; Laurenceau, J.L.; Malergue, C.; Grosgogeat, Y. Right ventricular dysplasia: A report of 24 adult cases. Circulation 1982, 65, 384–398. [Google Scholar] [CrossRef]
  12. Scheel, P.J., 3rd; Murray, B.; Tichnell, C.; James, C.A.; Tandri, H.; Calkins, H.; Chelko, S.P.; Gilotra, N.A. Arrhythmogenic Right Ventricular Cardiomyopathy Presenting as Clinical Myocarditis in Women. Am. J. Cardiol. 2021, 145, 128–134. [Google Scholar] [CrossRef] [PubMed]
  13. Leyva, F.; Zegard, A.; Okafor, O.; Foley, P.; Umar, F.; Taylor, R.J.; Marshall, H.; Stegemann, B.; Moody, W.; Steeds, R.P.; et al. Myocardial Fibrosis Predicts Ventricular Arrhythmias and Sudden Death After Cardiac Electronic Device Implantation. J. Am. Coll. Cardiol. 2022, 79, 665–678. [Google Scholar] [CrossRef] [PubMed]
  14. Halliday, B.P.; Cleland, J.G.; Goldberger, J.J.; Prasad, S.K. Personalizing Risk Stratification for Sudden Death in Dilated Cardiomyopathy: The Past, Present, and Future. Circulation 2017, 136, 215–231. [Google Scholar] [CrossRef] [PubMed]
  15. Corrado, D.; Zorzi, A.; Cipriani, A.; Bauce, B.; Bariani, R.; Beffagna, G.; De Lazzari, M.; Migliore, F.; Pilichou, K.; Rampazzo, A.; et al. Evolving Diagnostic Criteria for Arrhythmogenic Cardiomyopathy. J. Am. Heart Assoc. 2021, 10, e021987. [Google Scholar] [CrossRef]
  16. Corrado, D.; Anastasakis, A.; Basso, C.; Bauce, B.; Blomström-Lundqvist, C.; Bucciarelli-Ducci, C.; Cipriani, A.; De Asmundis, C.; Gandjbakhch, E.; Jiménez-Jáimez, J.; et al. Proposed diagnostic criteria for arrhythmogenic cardiomyopathy: European Task Force consensus report. Int. J. Cardiol. 2024, 395, 131447. [Google Scholar] [CrossRef]
  17. van der Voorn, S.M.; Riele, A.S.J.M.T.; Basso, C.; Calkins, H.; Remme, C.A.; Veen, T.A.B.v. Arrhythmogenic cardiomyopathy: Pathogenesis, pro-arrhythmic remodelling, and novel approaches for risk stratification and therapy. Cardiovasc. Res. 2020, 116, 1571–1584. [Google Scholar] [CrossRef]
  18. Isaak, A.; Praktiknjo, M.; Jansen, C.; Faron, A.; Sprinkart, A.M.; Pieper, C.C.; Chang, J.; Fimmers, R.; Meyer, C.; Dabir, D.; et al. Myocardial Fibrosis and Inflammation in Liver Cirrhosis: MRI Study of the Liver-Heart Axis. Radiology 2020, 297, 51–61. [Google Scholar] [CrossRef]
  19. Lossnitzer, D.; Steen, H.; Zahn, A.; Lehrke, S.; Weiss, C.; Weiss, K.H.; Giannitsis, E.; Stremmel, W.; Sauer, P.; Katus, H.A.; et al. Myocardial late gadolinium enhancement cardiovascular magnetic resonance in patients with cirrhosis. J. Cardiovasc. Magn. Reson. 2010, 12, 47. [Google Scholar] [CrossRef]
  20. Weinreb, J.C.; Rodby, R.A.; Yee, J.; Wang, C.L.; Fine, D.; McDonald, R.J.; Perazella, M.A.; Dillman, J.R.; Davenport, M.S. Use of Intravenous Gadolinium-based Contrast Media in Patients with Kidney Disease: Consensus Statements from the American College of Radiology and the National Kidney Foundation. Radiology 2021, 298, 28–35. [Google Scholar] [CrossRef]
  21. van der Voorn, S.M.; Bourfiss, M.; Muller, S.A.; Çimen, T.; Saguner, A.M.; Duru, F.; Riele, A.S.J.M.T.; Remme, C.A.; van Veen, T.A.B. Circulating Biomarkers of Fibrosis Formation in Patients with Arrhythmogenic Cardiomyopathy. Biomedicines 2023, 11, 813. [Google Scholar] [CrossRef] [PubMed]
  22. de Jong, S.; Veen, T.A.B.v.; van Rijen, H.V.M.; de Bakker, J.M.T. Fibrosis and Cardiac Arrhythmias. J. Cardiovasc. Pharmacol. 2011, 57, 630–638. [Google Scholar] [CrossRef]
  23. Icardo, J.M.; Colvee, E. Collagenous skeleton of the human mitral papillary muscle. Anat. Rec. 1998, 252, 509–518. [Google Scholar] [CrossRef]
  24. Shigeyama, J.; Yasumura, Y.; Sakamoto, A.; Ishida, Y.; Fukutomi, T.; Itoh, M.; Miyatake, K.; Kitakaze, M. Increased gene expression of collagen Types I and III is inhibited by β-receptor blockade in patients with dilated cardiomyopathy. Eur. Heart J. 2005, 26, 2698–2705. [Google Scholar] [CrossRef] [PubMed]
  25. de Jong, S.; van Veen, T.A.B.; de Bakker, J.M.T.; van Rijen, H.V.M. Monitoring cardiac fibrosis: A technical challenge. Neth. Heart J. 2012, 20, 44–48. [Google Scholar] [CrossRef] [PubMed]
  26. de Jong, S.; Veen, T.A.B.v.; de Bakker, J.M.T.; Vos, M.A.; van Rijen, H.V.M. Biomarkers of Myocardial Fibrosis. J. Cardiovasc. Pharmacol. 2011, 57, 522–535. [Google Scholar] [CrossRef]
  27. Querejeta, R.; López, B.; González, A.; Sánchez, E.; Larman, M.; Ubago, J.L.M.; Díez, J. Increased collagen type I synthesis in patients with heart failure of hypertensive origin: Relation to myocardial fibrosis. Circulation 2004, 110, 1263–1268. [Google Scholar] [CrossRef]
  28. Bariani, R.; Cipriani, A.; Rizzo, S.; Celeghin, R.; Marinas, M.B.; Giorgi, B.; De Gaspari, M.; Rigato, I.; Leoni, L.; Zorzi, A.; et al. ‘Hot phase’ clinical presentation in arrhythmogenic cardiomyopathy. Europace 2021, 23, 907–917. [Google Scholar] [CrossRef] [PubMed]
  29. Bariani, R.; Rigato, I.; Cipriani, A.; Marinas, M.B.; Celeghin, R.; Basso, C.; Corrado, D.; Pilichou, K.; Bauce, B. Myocarditis-like Episodes in Patients with Arrhythmogenic Cardiomyopathy: A Systematic Review on the So-Called Hot-Phase of the Disease. Biomolecules 2022, 12, 1324. [Google Scholar] [CrossRef]
  30. Bacmeister, L.; Cavus, E.; Bohnen, S.; Tahir, E.; Wolf, H.; Buellesbach, A.; Heidenreich, A.; Haacke, V.K.; Weber, S.; Hilgendorf, I.; et al. Serum Concentrations of Matrix Metalloproteinase-1 and Procollagen Type I Carboxy Terminal Propeptide Discriminate Infarct-Like Myocarditis and Non−ST-Segment−Elevation Myocardial Infarction. J. Am. Heart Assoc. 2024, 13, e034194. [Google Scholar] [CrossRef]
  31. Espinosa, C.; Ali, S.M.; Khan, W.; Khanam, R.; Pervin, J.; Price, J.T.; Rahman, S.; Hasan, T.; Ahmed, S.; Raqib, R.; et al. Comparative predictive power of serum vs plasma proteomic signatures in feto-maternal medicine. AJOG Glob. Rep. 2023, 3, 100244. [Google Scholar] [CrossRef] [PubMed]
  32. Plebani, M.; Banfi, G.; Bernardini, S.; Bondanini, F.; Conti, L.; Dorizzi, R.; Ferrara, F.E.; Mancini, R.; Trenti, T. Serum or plasma? An old question looking for new answers. Clin. Chem. Lab. Med. 2020, 58, 178–187. [Google Scholar] [CrossRef] [PubMed]
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Chelko, S.P. Prognostic Value of Circulating Biomarkers of Fibrotic Remodeling in Arrhythmogenic Cardiomyopathy. Biomedicines 2024, 12, 2623. https://doi.org/10.3390/biomedicines12112623

AMA Style

Chelko SP. Prognostic Value of Circulating Biomarkers of Fibrotic Remodeling in Arrhythmogenic Cardiomyopathy. Biomedicines. 2024; 12(11):2623. https://doi.org/10.3390/biomedicines12112623

Chicago/Turabian Style

Chelko, Stephen P. 2024. "Prognostic Value of Circulating Biomarkers of Fibrotic Remodeling in Arrhythmogenic Cardiomyopathy" Biomedicines 12, no. 11: 2623. https://doi.org/10.3390/biomedicines12112623

APA Style

Chelko, S. P. (2024). Prognostic Value of Circulating Biomarkers of Fibrotic Remodeling in Arrhythmogenic Cardiomyopathy. Biomedicines, 12(11), 2623. https://doi.org/10.3390/biomedicines12112623

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop