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Wang X, Sun H, Yu H, Du B, Fan Q, Jia B, Zhang Z. Bone morphogenetic protein 10, a rising star in the field of diabetes and cardiovascular disease. J Cell Mol Med 2024; 28:e18324. [PMID: 38760897 PMCID: PMC11101671 DOI: 10.1111/jcmm.18324] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2023] [Revised: 12/12/2023] [Accepted: 04/03/2024] [Indexed: 05/20/2024] Open
Abstract
Early research suggested that bone morphogenetic protein 10 (BMP10) is primarily involved in cardiac development and congenital heart disease processes. BMP10 is a newly identified cardiac-specific protein. In recent years, reports have emphasized the effects of BMP10 on myocardial apoptosis, fibrosis and immune response, as well as its synergistic effects with BMP9 in vascular endothelium and role in endothelial dysfunction. We believe that concentrating on this aspect of the study will enhance our knowledge of the pathogenesis of diabetes and the cardiovascular field. However, there have been no reports of any reviews discussing the role of BMP10 in diabetes and cardiovascular disease. In addition, the exact pathogenesis of diabetic cardiomyopathy is not fully understood, including myocardial energy metabolism disorders, microvascular changes, abnormal apoptosis of cardiomyocytes, collagen structural changes and myocardial fibrosis, all of which cause cardiac function impairment directly or indirectly and interact with one another. This review summarizes the research results of BMP10 in cardiac development, endothelial function and cardiovascular disease in an effort to generate new ideas for future research into diabetic cardiomyopathy.
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Affiliation(s)
- Xueyin Wang
- Shandong Provincial Key Laboratory for Rheumatic Disease and Translational MedicineThe First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Department of Endocrinology and Metabology, The Third Affiliated Hospital of Shandong First Medical UniversityJinanChina
- Department of Endocrinology and MetabologyThe Third Affiliated Hospital of Shandong First Medical UniversityJinanChina
- Department of Endocrinology and MetabolismAffiliated Hospital of Shandong Second Medical UniversityWeifangChina
| | - Helin Sun
- Shandong Provincial Key Laboratory for Rheumatic Disease and Translational MedicineThe First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Department of Endocrinology and Metabology, The Third Affiliated Hospital of Shandong First Medical UniversityJinanChina
- Department of Endocrinology and MetabologyThe Third Affiliated Hospital of Shandong First Medical UniversityJinanChina
| | - Haomiao Yu
- Shandong Provincial Key Laboratory for Rheumatic Disease and Translational MedicineThe First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Department of Endocrinology and Metabology, The Third Affiliated Hospital of Shandong First Medical UniversityJinanChina
- Department of Endocrinology and MetabologyThe Third Affiliated Hospital of Shandong First Medical UniversityJinanChina
| | - Bingyu Du
- Teaching and Research Section of Internal Medicine, College of MedicineShandong University of Traditional Chinese MedicineJinanChina
| | - Qi Fan
- Shandong Provincial Key Laboratory for Rheumatic Disease and Translational MedicineThe First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Department of Endocrinology and Metabology, The Third Affiliated Hospital of Shandong First Medical UniversityJinanChina
- Department of Endocrinology and MetabologyThe Third Affiliated Hospital of Shandong First Medical UniversityJinanChina
| | - Baoxue Jia
- Department of Endocrinology and MetabologyThe Third Affiliated Hospital of Shandong First Medical UniversityJinanChina
| | - Zhongwen Zhang
- Shandong Provincial Key Laboratory for Rheumatic Disease and Translational MedicineThe First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Department of Endocrinology and Metabology, The Third Affiliated Hospital of Shandong First Medical UniversityJinanChina
- Department of Endocrinology and MetabologyThe Third Affiliated Hospital of Shandong First Medical UniversityJinanChina
- Department of Endocrinology and MetabolismAffiliated Hospital of Shandong Second Medical UniversityWeifangChina
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Serban T, Hennings E, Strebel I, Knecht S, du Fay de Lavallaz J, Krisai P, Arnet R, Völlmin G, Osswald S, Sticherling C, Kühne M, Badertscher P. Biomarkers to predict improvement of left ventricular ejection fraction after atrial fibrillation ablation. Heart Rhythm 2024:S1547-5271(24)02371-3. [PMID: 38614192 DOI: 10.1016/j.hrthm.2024.04.044] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/24/2024] [Revised: 03/27/2024] [Accepted: 04/04/2024] [Indexed: 04/15/2024]
Abstract
BACKGROUND Atrial fibrillation (AF) and heart failure frequently coexist. Prediction of left ventricular ejection fraction (LVEF) recovery after catheter ablation (CA) for AF remains difficult. OBJECTIVE The purpose of this study was to evaluate the value of biomarkers, alone and in combination with the Antwerp score, to predict LVEF recovery after CA for AF. METHODS Patients undergoing CA for AF with depressed LVEF (<50%) were included. Plasma levels of 13 biomarkers were measured immediately before CA. Patients were categorized into "responders" and "nonresponders" in a similar fashion to the Antwerp score performance derivation and validation cohorts. The predictive power of the biomarkers alone and combined in outcome prediction was evaluated. RESULTS A total of 208 patients with depressed LVEF were included (median age 63 years; 39-19% female; median indexed left atrial volume 42 (33-52) mL/m2; median LVEF 43 (38-46)%). At a median follow-up time of 30 (20-34) months, 161 (77%) were responders and 47 (23%) were nonresponders. Of 13 biomarkers, -4-angiopoietin 2 (ANG2), growth differentiation factor 15 (GDF15), fibroblast growth factor 23, and myosin binding protein C3-were significantly different between responders and nonresponders (P ≤ .001) and their combination could predict the end point with an area under the curve of 0.72 (95% confidence interval [CI] 0.64-0.81) overall, 0.69 (95% CI 0.59-0.78) in heart failure with mildly reduced ejection fraction, and 0.88 (95% CI 0.77-0.98) in heart failure with reduced ejection fraction. Only ANG2 and GDF15 remained significantly associated with LVEF recovery after adjustment for age, sex, and Antwerp score and significantly improved the accuracy of the Antwerp score predictions (P < .001). The area under the curve of the Antwerp score in the outcome prediction improved from 0.75 (95% CI 0.67-0.83) to 0.78 (95% CI 0.70-0.86). CONCLUSION A biomarker panel (ANG2 and GDF15) significantly improved the accuracy of the Antwerp score.
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Affiliation(s)
- Teodor Serban
- Cardiovascular Research Institute, Basel, Switzerland; Department of Cardiology, University Hospital of Basel, Switzerland
| | - Elisa Hennings
- Cardiovascular Research Institute, Basel, Switzerland; Department of Cardiology, University Hospital of Basel, Switzerland
| | - Ivo Strebel
- Cardiovascular Research Institute, Basel, Switzerland; Department of Cardiology, University Hospital of Basel, Switzerland
| | - Sven Knecht
- Cardiovascular Research Institute, Basel, Switzerland; Department of Cardiology, University Hospital of Basel, Switzerland
| | - Jeanne du Fay de Lavallaz
- Cardiovascular Research Institute, Basel, Switzerland; Department of Cardiology, University Hospital of Basel, Switzerland
| | - Philipp Krisai
- Cardiovascular Research Institute, Basel, Switzerland; Department of Cardiology, University Hospital of Basel, Switzerland
| | - Rebecca Arnet
- Cardiovascular Research Institute, Basel, Switzerland; Department of Cardiology, University Hospital of Basel, Switzerland
| | - Gian Völlmin
- Cardiovascular Research Institute, Basel, Switzerland; Department of Cardiology, University Hospital of Basel, Switzerland
| | - Stefan Osswald
- Cardiovascular Research Institute, Basel, Switzerland; Department of Cardiology, University Hospital of Basel, Switzerland
| | - Christian Sticherling
- Cardiovascular Research Institute, Basel, Switzerland; Department of Cardiology, University Hospital of Basel, Switzerland
| | - Michael Kühne
- Cardiovascular Research Institute, Basel, Switzerland; Department of Cardiology, University Hospital of Basel, Switzerland
| | - Patrick Badertscher
- Cardiovascular Research Institute, Basel, Switzerland; Department of Cardiology, University Hospital of Basel, Switzerland.
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3
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Chua W, Khashaba A, Canagarajah H, Nielsen JC, di Biase L, Haeusler KG, Hindricks G, Mont L, Piccini J, Schnabel RB, Schotten U, Wienhues-Thelen UH, Zeller T, Fabritz L, Kirchhof P. Disturbed atrial metabolism, shear stress, and cardiac load contribute to atrial fibrillation after ablation: AXAFA biomolecule study. Europace 2024; 26:euae028. [PMID: 38266130 PMCID: PMC10873713 DOI: 10.1093/europace/euae028] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2023] [Accepted: 10/21/2023] [Indexed: 01/26/2024] Open
Abstract
AIMS Different disease processes can combine to cause atrial fibrillation (AF). Their contribution to recurrent AF after ablation in patients is not known. Cardiovascular processes associated with recurrent AF after AF ablation were determined by quantifying biomolecules related to inflammation, metabolism, proliferation, fibrosis, shear stress, atrial pressure, and others in the AXAFA biomolecule study. METHODS AND RESULTS Twelve circulating cardiovascular biomolecules (ANGPT2, BMP10, CA125, hsCRP, ESM1, FABP3, FGF23, GDF15, IGFBP7, IL6, NT-proBNP, and hsTnT) were quantified in plasma samples obtained prior to a first AF ablation using high-throughput, high-precision assays. Cox regression was used to identify biomolecules associated with recurrent AF during the first 3 months after AF ablation. In 433 patients (64 years [58, 70]; 33% women), baseline concentrations of ANGPT2, BMP10, hsCRP, FGF23, FABP3, GDF15, and NT-proBNP were elevated in patients with recurrent AF (120/433; 28%). After adjustment for 11 clinical features and randomized treatment, elevated NT-proBNP [hazard ratio (HR) 1.58, 95% confidence interval (1.29, 1.94)], ANGPT2 [HR 1.37, (1.12, 1.67)], and BMP10 [HR 1.24 (1.02, 1.51)] remained associated with recurrent AF. Concentrations of ANGPT2, BMP10, and NT-proBNP decreased in patients who remained arrhythmia free, but not in patients with recurrent AF, highlighting their connection to AF. The other eight biomarkers showed unchanged concentrations. CONCLUSION Elevated concentrations of ANGPT2, BMP10, and NT-proBNP are associated with recurrent AF after a first AF ablation, suggesting that processes linked to disturbed cardiomyocyte metabolism, altered atrial shear stress, and increased load contribute to AF after AF ablation in patients.
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Affiliation(s)
- Winnie Chua
- Institute of Cardiovascular Sciences, University of Birmingham, Wolfson Drive, Birmingham, UK
| | - Alya Khashaba
- Institute of Cardiovascular Sciences, University of Birmingham, Wolfson Drive, Birmingham, UK
| | - Hansel Canagarajah
- Institute of Cardiovascular Sciences, University of Birmingham, Wolfson Drive, Birmingham, UK
| | | | - Luigi di Biase
- Albert Einstein College of Medicine, Montefiore Hospital, New York, New York, USA
- Texas Cardiac Arrhythmia Institute at St. David’s Medical Center, Houston, TX, USA
| | - Karl Georg Haeusler
- Atrial Fibrillation NETwork (AFNET), Münster, DE
- Department of Neurology, Universitätsklinikum Würzburg, Würzburg, Germany
| | - Gerhard Hindricks
- Department of Cardiology, German Heart Center Charite, Campus Charite Mitte, Berlin, Germany
| | - Lluis Mont
- Hospital Clinic Barcelona, University of Barcelona, Barcelona, ES
| | - Jonathan Piccini
- Duke Clinical Research Institute (DCRI), Durham, NC, USA
- Division of Cardiology, Duke University Medical Center, Duke University, Durham, NC, USA
| | - Renate B Schnabel
- Atrial Fibrillation NETwork (AFNET), Münster, DE
- German Centre for Cardiovascular Research (DZHK), partner site: Hamburg/Kiel/Lübeck, Germany
- Department of Cardiology, University Heart and Vascular Center Hamburg, University Medical Center Hamburg-Eppendorf, Building O70, Martinistrasse 52, 20246 Hamburg, Germany
| | - Ulrich Schotten
- Atrial Fibrillation NETwork (AFNET), Münster, DE
- Department of Physiology, University Maastricht, Maastricht, NL
| | | | - Tanja Zeller
- German Centre for Cardiovascular Research (DZHK), partner site: Hamburg/Kiel/Lübeck, Germany
- University Center of Cardiovascular Sciences, University Heart and Vascular Center Hamburg, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Larissa Fabritz
- Institute of Cardiovascular Sciences, University of Birmingham, Wolfson Drive, Birmingham, UK
- Atrial Fibrillation NETwork (AFNET), Münster, DE
- German Centre for Cardiovascular Research (DZHK), partner site: Hamburg/Kiel/Lübeck, Germany
- Department of Cardiology, University Heart and Vascular Center Hamburg, University Medical Center Hamburg-Eppendorf, Building O70, Martinistrasse 52, 20246 Hamburg, Germany
- University Center of Cardiovascular Sciences, University Heart and Vascular Center Hamburg, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Paulus Kirchhof
- Institute of Cardiovascular Sciences, University of Birmingham, Wolfson Drive, Birmingham, UK
- Atrial Fibrillation NETwork (AFNET), Münster, DE
- German Centre for Cardiovascular Research (DZHK), partner site: Hamburg/Kiel/Lübeck, Germany
- Department of Cardiology, University Heart and Vascular Center Hamburg, University Medical Center Hamburg-Eppendorf, Building O70, Martinistrasse 52, 20246 Hamburg, Germany
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Isola G, Tartaglia GM, Santonocito S, Polizzi A, Williams RC, Iorio-Siciliano V. Impact of N-terminal pro-B-type natriuretic peptide and related inflammatory biomarkers on periodontal treatment outcomes in patients with periodontitis: An explorative human randomized-controlled clinical trial. J Periodontol 2023; 94:1414-1424. [PMID: 37433155 DOI: 10.1002/jper.23-0063] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2023] [Revised: 06/05/2023] [Accepted: 06/05/2023] [Indexed: 07/13/2023]
Abstract
BACKGROUND N-terminal portion of the B-type natriuretic propeptide (NT-proBNP) has potentially been shown to play an important role in the development of periodontitis and cardiovascular disease (CVD). This study evaluated the efficacy of periodontal treatment on NT-proBNP and related CVD biomarkers and explored whether subjects harboring high NT-proBNP at baseline showed increased clinical benefits with the non-surgical periodontal treatment performed with full-mouth scaling and root planing (FM-SRP) at 6-month follow-up. METHODS Forty-eight patients with stage III periodontitis were randomized to receive minimal standard oral care (SOC) (n = 24) or FM-SRP (n = 24) protocol. Clinical periodontal parameters (probing depth, clinical attachment loss, bleeding on probing), serum NT-proBNP, α1-antitrypsin, C-reactive protein (hs-CRP), endothelial cell-specific molecule-1 (ECM-1), and neutrophil gelatinase-associated lipocalin (NGAL) concentrations were assessed at baseline and at 1-, 3-, and 6- month follow-up. RESULTS At 6 months, FM-SRP was more effective than SOC in reducing periodontal parameters and mean proportions of NT-proBNP (p = 0.004), hs-CRP (p = 0.003), α1-antitrypsin (p = 0.012), ECM-1 (p = 0.014), and NGAL (p = 0.045). At 6-month follow-up, the reduced NT-proBNP, α1-antitrypsin, hs-CRP, ECM-1, and NGAL levels were significantly correlated with the extent of periodontitis (p < 0.05). Furthermore, the analysis of variance analysis evidenced that, at 6-month follow-up, FM-SRP significantly impacted the reduction of NT-proBNP, hs-CRP, ECM-1, and NGAL. Moreover, high levels of NT-proBNP, hs-CRP, ECM-1, and NGAL at baseline significantly influenced the efficacy of periodontal treatment positively. CONCLUSION In this study, FM-SRP was more effective than SOC in reducing clinical variables and NT-proBNP levels, although subjects who harbored high NT-proBNP concentrations at baseline showed greater clinical benefits of periodontal treatment at 6-month follow-up.
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Affiliation(s)
- Gaetano Isola
- Department of General Surgery and Surgical-Medical Specialties, Unit of Periodontology, School of Dentistry, University of Catania, Catania, Italy
| | - Gianluca Martino Tartaglia
- Department of Biomedical, Surgical and Dental Sciences, School of Dentistry, University of Milan, Milan, Italy
- Fondazione IRCCS Cà Granda, Ospedale Maggiore Policlinico, Milan, Italy
| | - Simona Santonocito
- Department of General Surgery and Surgical-Medical Specialties, Unit of Periodontology, School of Dentistry, University of Catania, Catania, Italy
| | - Alessandro Polizzi
- Department of General Surgery and Surgical-Medical Specialties, Unit of Periodontology, School of Dentistry, University of Catania, Catania, Italy
| | - Ray C Williams
- Department of Periodontology, UNC-Chapel Hill School of Dentistry, Chapel Hill, North Carolina, USA
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Chua W, Cardoso VR, Guasch E, Sinner MF, Al-Taie C, Brady P, Casadei B, Crijns HJGM, Dudink EAMP, Hatem SN, Kääb S, Kastner P, Mont L, Nehaj F, Purmah Y, Reyat JS, Schotten U, Sommerfeld LC, Zeemering S, Ziegler A, Gkoutos GV, Kirchhof P, Fabritz L. An angiopoietin 2, FGF23, and BMP10 biomarker signature differentiates atrial fibrillation from other concomitant cardiovascular conditions. Sci Rep 2023; 13:16743. [PMID: 37798357 PMCID: PMC10556075 DOI: 10.1038/s41598-023-42331-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2022] [Accepted: 09/08/2023] [Indexed: 10/07/2023] Open
Abstract
Early detection of atrial fibrillation (AF) enables initiation of anticoagulation and early rhythm control therapy to reduce stroke, cardiovascular death, and heart failure. In a cross-sectional, observational study, we aimed to identify a combination of circulating biomolecules reflecting different biological processes to detect prevalent AF in patients with cardiovascular conditions presenting to hospital. Twelve biomarkers identified by reviewing literature and patents were quantified on a high-precision, high-throughput platform in 1485 consecutive patients with cardiovascular conditions (median age 69 years [Q1, Q3 60, 78]; 60% male). Patients had either known AF (45%) or AF ruled out by 7-day ECG-monitoring. Logistic regression with backward elimination and a neural network approach considering 7 key clinical characteristics and 12 biomarker concentrations were applied to a randomly sampled discovery cohort (n = 933) and validated in the remaining patients (n = 552). In addition to age, sex, and body mass index (BMI), BMP10, ANGPT2, and FGF23 identified patients with prevalent AF (AUC 0.743 [95% CI 0.712, 0.775]). These circulating biomolecules represent distinct pathways associated with atrial cardiomyopathy and AF. Neural networks identified the same variables as the regression-based approach. The validation using regression yielded an AUC of 0.719 (95% CI 0.677, 0.762), corroborated using deep neural networks (AUC 0.784 [95% CI 0.745, 0.822]). Age, sex, BMI and three circulating biomolecules (BMP10, ANGPT2, FGF23) are associated with prevalent AF in unselected patients presenting to hospital. Findings should be externally validated. Results suggest that age and different disease processes approximated by these three biomolecules contribute to AF in patients. Our findings have the potential to improve screening programs for AF after external validation.
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Affiliation(s)
- Winnie Chua
- Institute of Cardiovascular Sciences, University of Birmingham, Birmingham, UK
| | - Victor R Cardoso
- Institute of Cardiovascular Sciences, University of Birmingham, Birmingham, UK
- MRC Health Data Research UK (HDR), Midlands Site, London, UK
- Institute of Cancer and Genomic Sciences, University of Birmingham, Birmingham, UK
| | - Eduard Guasch
- Hospital Clinic de Barcelona, Institute of Biomedical Research August Pi Sunyer (IDIBAPS), Barcelona, Spain
| | - Moritz F Sinner
- Department of Medicine I, University Hospital, LMU, Munich, Germany
- German Centre for Cardiovascular Research (DZHK), Partner Site: Munich Heart Alliance, Munich, Germany
| | - Christoph Al-Taie
- University Center of Cardiovascular Science, University Heart and Vascular Center Hamburg, University Medical Center Hamburg-Eppendorf, UKE Martinistrasse 52, 20246, Hamburg, Germany
- German Centre for Cardiovascular Research (DZHK), Partner Site: Hamburg/Kiel/Lübeck, Hamburg, Germany
- Department of Cardiology, University Heart and Vascular Center Hamburg, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Paul Brady
- Institute of Cardiovascular Sciences, University of Birmingham, Birmingham, UK
- Sandwell and West Birmingham Hospitals NHS Trust, Birmingham, UK
| | | | - Harry J G M Crijns
- Cardiovascular Research Institute Maastricht (CARIM), Maastricht University, Maastricht, The Netherlands
| | - Elton A M P Dudink
- Cardiovascular Research Institute Maastricht (CARIM), Maastricht University, Maastricht, The Netherlands
| | - Stéphane N Hatem
- IHU-ICAN Institute of Cardiometabolism and Nutrition, Paris, France
| | - Stefan Kääb
- Department of Medicine I, University Hospital, LMU, Munich, Germany
- German Centre for Cardiovascular Research (DZHK), Partner Site: Munich Heart Alliance, Munich, Germany
| | | | - Lluis Mont
- Hospital Clinic de Barcelona, Institute of Biomedical Research August Pi Sunyer (IDIBAPS), Barcelona, Spain
| | - Frantisek Nehaj
- Institute of Cardiovascular Sciences, University of Birmingham, Birmingham, UK
- Sandwell and West Birmingham Hospitals NHS Trust, Birmingham, UK
| | - Yanish Purmah
- Institute of Cardiovascular Sciences, University of Birmingham, Birmingham, UK
- Sandwell and West Birmingham Hospitals NHS Trust, Birmingham, UK
| | - Jasmeet S Reyat
- Institute of Cardiovascular Sciences, University of Birmingham, Birmingham, UK
| | - Ulrich Schotten
- Cardiovascular Research Institute Maastricht (CARIM), Maastricht University, Maastricht, The Netherlands
| | - Laura C Sommerfeld
- Institute of Cardiovascular Sciences, University of Birmingham, Birmingham, UK
- University Center of Cardiovascular Science, University Heart and Vascular Center Hamburg, University Medical Center Hamburg-Eppendorf, UKE Martinistrasse 52, 20246, Hamburg, Germany
- German Centre for Cardiovascular Research (DZHK), Partner Site: Hamburg/Kiel/Lübeck, Hamburg, Germany
- Department of Cardiology, University Heart and Vascular Center Hamburg, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Stef Zeemering
- Cardiovascular Research Institute Maastricht (CARIM), Maastricht University, Maastricht, The Netherlands
| | - André Ziegler
- Roche Diagnostics International AG, Rotkreuz, Switzerland
| | - Georgios V Gkoutos
- MRC Health Data Research UK (HDR), Midlands Site, London, UK
- Institute of Cancer and Genomic Sciences, University of Birmingham, Birmingham, UK
| | - Paulus Kirchhof
- Institute of Cardiovascular Sciences, University of Birmingham, Birmingham, UK
- German Centre for Cardiovascular Research (DZHK), Partner Site: Hamburg/Kiel/Lübeck, Hamburg, Germany
- Department of Cardiology, University Heart and Vascular Center Hamburg, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Larissa Fabritz
- Institute of Cardiovascular Sciences, University of Birmingham, Birmingham, UK.
- University Center of Cardiovascular Science, University Heart and Vascular Center Hamburg, University Medical Center Hamburg-Eppendorf, UKE Martinistrasse 52, 20246, Hamburg, Germany.
- German Centre for Cardiovascular Research (DZHK), Partner Site: Hamburg/Kiel/Lübeck, Hamburg, Germany.
- Department of Cardiology, University Heart and Vascular Center Hamburg, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
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Isola G, Tartaglia GM, Santonocito S, Chaurasia A, Marya A, Lo Giudice A. Growth differentiation factor-15 and circulating biomarkers as predictors of periodontal treatment effects in patients with periodontitis: a randomized-controlled clinical trial. BMC Oral Health 2023; 23:582. [PMID: 37605193 PMCID: PMC10440880 DOI: 10.1186/s12903-023-03237-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2023] [Accepted: 07/18/2023] [Indexed: 08/23/2023] Open
Abstract
BACKGROUND During the last decades, in patients with periodontitis, periodontal treatment has been shown to reduce the potential release of local and systemic biomarkers linked to an early risk of systemic inflammatory disorders. This study evaluated the efficacy of non-surgical-periodontal treatment (NSPT) on growth differentiation factor 15 (GDF-15) and related circulating biomarkers such as glutathione peroxidase 1 (GPx-1), c-reactive protein (hs-CRP), and surfactant protein D (SP-D) in periodontal patients and explored whether subjects who had high GDF-15 levels at baseline showed increased clinical benefits following NSPT at 6-months follow-up. METHODS For this two-arm, parallel randomized clinical trial, patients with periodontitis were randomly allocated to receive quadrant scaling and root-planing (Q-SRP, n = 23, median age 51 years old) or full-mouth disinfection (FMD, n = 23, median age 50 years old) treatment. Clinical and periodontal parameters were recorded in all enrolled patients. The primary outcome was to analyse serum concentrations changes of GDF-15 and of GPx-1, hs-CRP, and SP-D at baseline and at 30, 90, and 180-days follow-up after NSPT through enzyme-linked immunosorbent assay (ELISA) and nephelometric assay techniques. RESULTS In comparison with FMD, patients of the Q-SRP group showed a significant improvement in clinical periodontal parameters (p < 0.05) and a reduction in the mean levels of GDF-15 (p = 0.005), hs-CRP (p < 0.001), and SP-D (p = 0.042) and an increase of GPx-1 (p = 0.025) concentrations after 6 months of treatment. At 6 months of treatment, there was a significant association between several periodontal parameters and the mean concentrations of GDF-15, GPx-1, hs-CRP, and SP-D (p < 0.05 for all parameters). Finally, the ANOVA analysis revealed that, at 6 months after treatment, the Q-SRP treatment significantly impacted the reduction of GDF-15 (p = 0.015), SP-D (p = 0.026) and the upregulation of GPx-1 (p = 0.045). CONCLUSION The results evidenced that, after 6 months of treatment, both NSPT protocols improved the periodontal parameters and analyzed biomarkers, but Q-SRP was more efficacious than the FMD approach. Moreover, patients who presented high baseline GDF-15 and SP-D levels benefited more from NSPT at 6-month follow-up. TRIAL REGISTRATION NCT05720481.
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Affiliation(s)
- Gaetano Isola
- Department of General Surgery and Surgical-Medical Specialties, School of Dentistry, University of Catania, Via S. Sofia 78, Catania, 95123, Italy
| | - Gianluca Martino Tartaglia
- Department of Biomedical, Surgical and Dental Sciences, School of Dentistry, University of Milan, Milan, 20100, Italy
- Ospedale Maggiore Policlinico, Fondazione IRCCS Cà Granda, Milan, 20100, Italy
| | - Simona Santonocito
- Department of General Surgery and Surgical-Medical Specialties, School of Dentistry, University of Catania, Via S. Sofia 78, Catania, 95123, Italy.
| | - Akhilanand Chaurasia
- Department of Oral Medicine, Faculty of Dental Sciences, King George's Medical University, Lucknow, Uttar Pradesh, India
| | - Anand Marya
- Department of Orthodontics, University of Puthisastra Phnom Penh Combodia, Phnom Penh, 55180, Cambodia.
- Center for Transdisciplinary Research, Saveetha Dental College, Saveetha Institute of Medical and Technical Science, Saveetha University, Chennai, 600077, India.
| | - Antonino Lo Giudice
- Department of General Surgery and Surgical-Medical Specialties, School of Dentistry, University of Catania, Via S. Sofia 78, Catania, 95123, Italy
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7
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Hennings E, Aeschbacher S, Coslovsky M, Paladini RE, Meyre PB, Voellmin G, Blum L, Kastner P, Ziegler A, Conen D, Zuern CS, Krisai P, Badertscher P, Sticherling C, Osswald S, Knecht S, Kühne M. Association of bone morphogenetic protein 10 and recurrent atrial fibrillation after catheter ablation. Europace 2023; 25:euad149. [PMID: 37314197 PMCID: PMC10265951 DOI: 10.1093/europace/euad149] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2023] [Accepted: 05/04/2023] [Indexed: 06/15/2023] Open
Abstract
AIMS Atrial remodelling, defined as a change in atrial structure, promotes atrial fibrillation (AF). Bone morphogenetic protein 10 (BMP10) is an atrial-specific biomarker released to blood during atrial development and structural changes. We aimed to validate whether BMP10 is associated with AF recurrence after catheter ablation (CA) in a large cohort of patients. METHODS AND RESULTS We measured baseline BMP10 plasma concentrations in AF patients who underwent a first elective CA in the prospective Swiss-AF-PVI cohort study. The primary outcome was AF recurrence lasting longer than 30 s during a follow-up of 12 months. We constructed multivariable Cox proportional hazard models to determine the association of BMP10 and AF recurrence. A total of 1112 patients with AF (age 61 ± 10 years, 74% male, 60% paroxysmal AF) was included in our analysis. During 12 months of follow-up, 374 patients (34%) experienced AF recurrence. The probability for AF recurrence increased with increasing BMP10 concentration. In an unadjusted Cox proportional hazard model, a per-unit increase in log-transformed BMP10 was associated with a hazard ratio (HR) of 2.28 (95% CI 1.43; 3.62, P < 0.001) for AF recurrence. After multivariable adjustment, the HR of BMP10 for AF recurrence was 1.98 (95% CI 1.14; 3.42, P = 0.01), and there was a linear trend across BMP10 quartiles (P = 0.02 for linear trend). CONCLUSION The novel atrial-specific biomarker BMP10 was strongly associated with AF recurrence in patients undergoing CA for AF. CLINICALTRIALS.GOV IDENTIFIER NCT03718364; https://clinicaltrials.gov/ct2/show/NCT03718364.
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Affiliation(s)
- Elisa Hennings
- Cardiovascular Research Institute Basel, University Hospital Basel, University of Basel, Spitalstrasse 2, 4056 Basel, Switzerland
- Cardiology, University Hospital Basel, University of Basel, Petersgraben 4, 4031 Basel, Switzerland
| | - Stefanie Aeschbacher
- Cardiovascular Research Institute Basel, University Hospital Basel, University of Basel, Spitalstrasse 2, 4056 Basel, Switzerland
- Cardiology, University Hospital Basel, University of Basel, Petersgraben 4, 4031 Basel, Switzerland
| | - Michael Coslovsky
- Department of Clinical Research, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Rebecca E Paladini
- Cardiovascular Research Institute Basel, University Hospital Basel, University of Basel, Spitalstrasse 2, 4056 Basel, Switzerland
- Cardiology, University Hospital Basel, University of Basel, Petersgraben 4, 4031 Basel, Switzerland
| | - Pascal B Meyre
- Cardiovascular Research Institute Basel, University Hospital Basel, University of Basel, Spitalstrasse 2, 4056 Basel, Switzerland
- Cardiology, University Hospital Basel, University of Basel, Petersgraben 4, 4031 Basel, Switzerland
| | - Gian Voellmin
- Cardiovascular Research Institute Basel, University Hospital Basel, University of Basel, Spitalstrasse 2, 4056 Basel, Switzerland
- Cardiology, University Hospital Basel, University of Basel, Petersgraben 4, 4031 Basel, Switzerland
| | - Livia Blum
- Cardiovascular Research Institute Basel, University Hospital Basel, University of Basel, Spitalstrasse 2, 4056 Basel, Switzerland
- Cardiology, University Hospital Basel, University of Basel, Petersgraben 4, 4031 Basel, Switzerland
| | | | - André Ziegler
- Roche Diagnostics International AG, Rotkreuz, Switzerland
| | - David Conen
- Population Health Research Institute, McMaster University, Hamilton, Canada
| | - Christine S Zuern
- Cardiovascular Research Institute Basel, University Hospital Basel, University of Basel, Spitalstrasse 2, 4056 Basel, Switzerland
- Cardiology, University Hospital Basel, University of Basel, Petersgraben 4, 4031 Basel, Switzerland
| | - Philipp Krisai
- Cardiovascular Research Institute Basel, University Hospital Basel, University of Basel, Spitalstrasse 2, 4056 Basel, Switzerland
- Cardiology, University Hospital Basel, University of Basel, Petersgraben 4, 4031 Basel, Switzerland
| | - Patrick Badertscher
- Cardiovascular Research Institute Basel, University Hospital Basel, University of Basel, Spitalstrasse 2, 4056 Basel, Switzerland
- Cardiology, University Hospital Basel, University of Basel, Petersgraben 4, 4031 Basel, Switzerland
| | - Christian Sticherling
- Cardiovascular Research Institute Basel, University Hospital Basel, University of Basel, Spitalstrasse 2, 4056 Basel, Switzerland
- Cardiology, University Hospital Basel, University of Basel, Petersgraben 4, 4031 Basel, Switzerland
| | - Stefan Osswald
- Cardiovascular Research Institute Basel, University Hospital Basel, University of Basel, Spitalstrasse 2, 4056 Basel, Switzerland
- Cardiology, University Hospital Basel, University of Basel, Petersgraben 4, 4031 Basel, Switzerland
| | - Sven Knecht
- Cardiovascular Research Institute Basel, University Hospital Basel, University of Basel, Spitalstrasse 2, 4056 Basel, Switzerland
- Cardiology, University Hospital Basel, University of Basel, Petersgraben 4, 4031 Basel, Switzerland
| | - Michael Kühne
- Cardiovascular Research Institute Basel, University Hospital Basel, University of Basel, Spitalstrasse 2, 4056 Basel, Switzerland
- Cardiology, University Hospital Basel, University of Basel, Petersgraben 4, 4031 Basel, Switzerland
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8
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Xu H, Chen X, Zhang Y, Zhu K, Zhao J, Qin F, Tao H. Clinical Outcomes and Predictors of Late Recurrence in Young Patients with Atrial Fibrillation after Catheter Ablation. COMPUTATIONAL AND MATHEMATICAL METHODS IN MEDICINE 2023; 2023:7892185. [PMID: 37284170 PMCID: PMC10241581 DOI: 10.1155/2023/7892185] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Figures] [Subscribe] [Scholar Register] [Received: 09/11/2022] [Revised: 02/05/2023] [Accepted: 02/10/2023] [Indexed: 06/08/2023]
Abstract
Background Catheter ablation (CA) is an established treatment for atrial fibrillation (AF), but the recurrence of AF is not neglected. Young patients with AF were generally more symptomatic and intolerant to long-term drug treatment. We aim to explore clinical outcomes and predictors of late recurrence (LR) in AF patients younger than 45 years after CA to better manage them. Methods We retrospectively studied 92 symptomatic AF patients who accepted CA from September 1, 2019, to August 31, 2021. Baseline clinical data (including N-terminal prohormone of brain natriuretic peptide, NT-proBNP), ablation outcomes, and follow-up outcomes were collected. Patients were followed up at 3, 6, 9, and 12 months. Follow-up data were available for 82/92 (89.1%) patients. Results One-year arrhythmia-free survival was 81.7% (67/82) in our study group. Major complications occurred in 3/82 (3.7%) patients with an acceptable rate. The value of ln(NT-proBNP) (P = 0.025, odds ratio [OR] = 1.977, 95% confidence interval [CI] 1.087-3.596) and a family history of AF (P = 0.041, HR = 9.269, 95% CI 1.097-78.295) could independently predict AF recurrence. The ROC analysis of ln(NT-proBNP) showed that NT-proBNP greater than 200.05 pg/ml (area under the curve: 0.772, 95% CI 0.642-0.902, P = 0.001, sensitivity 0.800, specificity 0.701) was the cut-off point for predicting late recurrence. Conclusions CA is a safe and effective treatment for AF patients younger than 45 years. Elevated NT-proBNP level and a family history of AF could be used as predictors for late recurrence in young patients. The result of this study may help us take more comprehensive management of those with high-recurrence risks to reduce disease burden and improve quality of life.
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Affiliation(s)
- Haonan Xu
- Department of Cardiology, The First Affiliated Hospital of Zhengzhou University, No. 1, Longhu Middle Ring Road, Zhengzhou 450000, China
| | - Xiaowei Chen
- Department of Cardiology, The First Affiliated Hospital of Zhengzhou University, No. 1, Longhu Middle Ring Road, Zhengzhou 450000, China
| | - Yubin Zhang
- Department of Cardiology, The First Affiliated Hospital of Zhengzhou University, No. 1, Longhu Middle Ring Road, Zhengzhou 450000, China
| | - Kui Zhu
- Department of Cardiology, The First Affiliated Hospital of Zhengzhou University, No. 1, Longhu Middle Ring Road, Zhengzhou 450000, China
| | - Jiangtao Zhao
- Department of Cardiology, The First Affiliated Hospital of Zhengzhou University, No. 1, Longhu Middle Ring Road, Zhengzhou 450000, China
| | - Fen Qin
- Department of Cardiology, The First Affiliated Hospital of Zhengzhou University, No. 1, Longhu Middle Ring Road, Zhengzhou 450000, China
| | - Hailong Tao
- Department of Cardiology, The First Affiliated Hospital of Zhengzhou University, No. 1, Longhu Middle Ring Road, Zhengzhou 450000, China
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9
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Hennings E, Blum S, Aeschbacher S, Coslovsky M, Knecht S, Eken C, Lischer M, Paladini RE, Krisai P, Reichlin T, Rodondi N, Beer JH, Ammann P, Conte G, De Perna ML, Kobza R, Blum MR, Bossard M, Kastner P, Ziegler A, Müller C, Bonati LH, Pfister O, Zuern CS, Conen D, Kühne M, Osswald S. Bone Morphogenetic Protein 10-A Novel Biomarker to Predict Adverse Outcomes in Patients With Atrial Fibrillation. J Am Heart Assoc 2023; 12:e028255. [PMID: 36926939 PMCID: PMC10111531 DOI: 10.1161/jaha.122.028255] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/21/2022] [Accepted: 02/01/2023] [Indexed: 03/18/2023]
Abstract
Background Patients with atrial fibrillation (AF) face an increased risk of death and major adverse cardiovascular events (MACE). We aimed to assess the predictive value of the novel atrial-specific biomarker BMP10 (bone morphogenetic protein 10) for death and MACE in patients with AF in comparison with NT-proBNP (N-terminal prohormone of B-type natriuretic peptide). Methods and Results BMP10 and NT-proBNP were measured in patients with AF enrolled in Swiss-AF (Swiss Atrial Fibrillation Study), a prospective multicenter cohort study. A total of 2219 patients were included (median follow-up 4.3 years [interquartile range 3.9, 5.1], mean age 73±9 years, 73% male). In multivariable Cox proportional hazard models, the adjusted hazard ratio (aHR) associated with 1 ng/mL increase of BMP10 was 1.60 (95% CI, 1.37-1.87) for all-cause death, and 1.54 (95% CI, 1.35-1.76) for MACE. For all-cause death, the concordance index was 0.783 (95% CI, 0.763-0.809) for BMP10, 0.784 (95% CI, 0.765-0.810) for NT-proBNP, and 0.789 (95% CI, 0.771-0.815) for both biomarkers combined. For MACE, the concordance index was 0.732 (95% CI, 0.715-0.754) for BMP10, 0.747 (95% CI, 0.731-0.768) for NT-proBNP, and 0.750 (95% CI, 0.734-0.771) for both biomarkers combined. When grouping patients according to NT-proBNP categories (<300, 300-900, >900 ng/L), higher aHRs were observed in patients with high BMP10 in the categories of low NT-proBNP (all-cause death aHR, 2.28 [95% CI, 1.15-4.52], MACE aHR, 1.88 [95% CI, 1.07-3.28]) and high NT-proBNP (all-cause death aHR, 1.61 [95% CI, 1.14-2.26], MACE aHR, 1.38 [95% CI, 1.07-1.80]). Conclusions BMP10 strongly predicted all-cause death and MACE in patients with AF. BMP10 provided additional prognostic information in low- and high-risk patients according to NT-proBNP stratification. Registration URL: https://www.clinicaltrials.gov; Unique identifier: NCT02105844.
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Affiliation(s)
- Elisa Hennings
- Cardiovascular Research Institute BaselUniversity Hospital Basel, University of BaselBaselSwitzerland
- CardiologyUniversity Hospital Basel, University of BaselBaselSwitzerland
| | - Steffen Blum
- Cardiovascular Research Institute BaselUniversity Hospital Basel, University of BaselBaselSwitzerland
- CardiologyUniversity Hospital Basel, University of BaselBaselSwitzerland
| | - Stefanie Aeschbacher
- Cardiovascular Research Institute BaselUniversity Hospital Basel, University of BaselBaselSwitzerland
- CardiologyUniversity Hospital Basel, University of BaselBaselSwitzerland
| | - Michael Coslovsky
- Department of Clinical ResearchUniversity Hospital Basel, University of BaselBaselSwitzerland
| | - Sven Knecht
- Cardiovascular Research Institute BaselUniversity Hospital Basel, University of BaselBaselSwitzerland
- CardiologyUniversity Hospital Basel, University of BaselBaselSwitzerland
| | - Ceylan Eken
- Cardiovascular Research Institute BaselUniversity Hospital Basel, University of BaselBaselSwitzerland
- CardiologyUniversity Hospital Basel, University of BaselBaselSwitzerland
| | - Mirko Lischer
- Cardiovascular Research Institute BaselUniversity Hospital Basel, University of BaselBaselSwitzerland
- CardiologyUniversity Hospital Basel, University of BaselBaselSwitzerland
| | - Rebecca E. Paladini
- Cardiovascular Research Institute BaselUniversity Hospital Basel, University of BaselBaselSwitzerland
- CardiologyUniversity Hospital Basel, University of BaselBaselSwitzerland
| | - Philipp Krisai
- Cardiovascular Research Institute BaselUniversity Hospital Basel, University of BaselBaselSwitzerland
- CardiologyUniversity Hospital Basel, University of BaselBaselSwitzerland
| | - Tobias Reichlin
- Department of CardiologyInselspital, Bern University Hospital, University of BernBernSwitzerland
| | - Nicolas Rodondi
- Department of General Internal MedicineInselspital, Bern University Hospital, University of BernBernSwitzerland
- Institute of Primary Health Care (BIHAM)University of BernBernSwitzerland
| | - Jürg H. Beer
- Department of Internal MedicineCantonal Hospital BadenBadenSwitzerland
| | - Peter Ammann
- Department of CardiologyKantonsspital St. GallenSt. GallenSwitzerland
| | - Giulio Conte
- Cardiocentro Ticino InstituteEnte Ospedaliero CantonaleLuganoSwitzerland
| | | | - Richard Kobza
- Cardiology DivisionHeart Center, Luzerner KantonsspitalLuzernSwitzerland
| | - Manuel R. Blum
- Department of General Internal MedicineInselspital, Bern University Hospital, University of BernBernSwitzerland
- Institute of Primary Health Care (BIHAM)University of BernBernSwitzerland
| | - Matthias Bossard
- Cardiology DivisionHeart Center, Luzerner KantonsspitalLuzernSwitzerland
| | | | - André Ziegler
- Roche Diagnostics International AGRotkreuzSwitzerland
| | - Christian Müller
- Cardiovascular Research Institute BaselUniversity Hospital Basel, University of BaselBaselSwitzerland
- CardiologyUniversity Hospital Basel, University of BaselBaselSwitzerland
| | - Leo H. Bonati
- Cardiovascular Research Institute BaselUniversity Hospital Basel, University of BaselBaselSwitzerland
- Department of Neurology and Stroke CenterUniversity Hospital Basel, University of BaselBaselSwitzerland
| | - Otmar Pfister
- Cardiovascular Research Institute BaselUniversity Hospital Basel, University of BaselBaselSwitzerland
- CardiologyUniversity Hospital Basel, University of BaselBaselSwitzerland
| | - Christine S. Zuern
- Cardiovascular Research Institute BaselUniversity Hospital Basel, University of BaselBaselSwitzerland
- CardiologyUniversity Hospital Basel, University of BaselBaselSwitzerland
| | - David Conen
- Population Health Research InstituteMcMaster UniversityHamiltonCanada
| | - Michael Kühne
- Cardiovascular Research Institute BaselUniversity Hospital Basel, University of BaselBaselSwitzerland
- CardiologyUniversity Hospital Basel, University of BaselBaselSwitzerland
| | - Stefan Osswald
- Cardiovascular Research Institute BaselUniversity Hospital Basel, University of BaselBaselSwitzerland
- CardiologyUniversity Hospital Basel, University of BaselBaselSwitzerland
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10
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Zhuang J, Xie L, Chen H, Yan X, Lu J, Ye J, Zhang Y, Qiang W, Zhang Q, Zhou L. Correlation of Serum Laminin Levels with Cardiac Function and In-Hospital Prognosis in Patients with Atrial Fibrillation. Int Heart J 2023; 64:172-177. [PMID: 37005313 DOI: 10.1536/ihj.22-393] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 04/04/2023]
Abstract
We aimed to investigate the correlation between serum laminin (LN) levels and cardiac function in patients with atrial fibrillation (AF) and its predictive value for in-hospital prognosis. This study included 295 patients with AF who were admitted to the Second Affiliated Hospital of Nantong University from January 2019 to January 2021. The patients were divided into three groups according to the New York Heart Association (NYHA) functional classification (I-II, III, and IV); the LN levels increased with increasing NYHA class (P < 0.05). Spearman's correlation analysis revealed a positive correlation between LN and NT-proBNP (r = 0.527, P < 0.001). Of the patients, 36 had in-hospital major adverse cardiac events (MACEs), of whom 30 had acute heart failure, 5 had malignant arrhythmias, and one had stroke. The area under the ROC curve for predicting the in-hospital MACEs by LN was 0.815 (95% CI: 0.740-0.890, P < 0.001). Multivariate logistic regression analysis revealed that LN could be an independent predictor of in-hospital MACEs (odds ratio: 1.009, 95% confidence interval: 1.004-1.015, P = 0.001). In conclusion, LN may serve as a potential biomarker to evaluate the severity of cardiac function and predict in-hospital prognosis in AF patients.
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Affiliation(s)
- Jianfen Zhuang
- Department of Cardiology, The First Affiliated Hospital of Nanjing Medical University
- Department of Cardiology, The Second Affiliated Hospital of Nantong University
| | - Ling Xie
- Department of Cardiology, The Second Affiliated Hospital of Nantong University
| | - Haixiao Chen
- Department of General Practice, Affiliated Hospital 2 of Nantong University
| | - Xiaoyun Yan
- Department of General Practice, Affiliated Hospital 2 of Nantong University
| | - Jinya Lu
- Department of General Practice, Affiliated Hospital 2 of Nantong University
| | - Jiaqi Ye
- Department of General Practice, Affiliated Hospital 2 of Nantong University
| | - Yin Zhang
- Department of General Practice, Affiliated Hospital 2 of Nantong University
| | - Wenhui Qiang
- Department of General Practice, Affiliated Hospital 2 of Nantong University
| | - Qing Zhang
- Department of Cardiology, The Second Affiliated Hospital of Nantong University
| | - Lei Zhou
- Department of Cardiology, The First Affiliated Hospital of Nanjing Medical University
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11
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Palà E, Escudero-Martínez I, Penalba A, Bustamante A, Lamana-Vallverdú M, Mancha F, Ocete RF, Piñero P, Galvao-Carmona A, Gómez-Herranz M, Pérez-Sánchez S, Moniche F, González A, Montaner J. Association of blood-based biomarkers with radiologic markers and cognitive decline in atrial fibrillation patients. J Stroke Cerebrovasc Dis 2022; 31:106833. [DOI: 10.1016/j.jstrokecerebrovasdis.2022.106833] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2022] [Revised: 09/28/2022] [Accepted: 10/11/2022] [Indexed: 11/21/2022] Open
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12
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Li H, Sun W, Wang Z, Wang Z, Du X, Chen J, Gao J, Liu X, Wang X, Wang Y, Wu Y, Zhang X. Higher serum tissue inhibitor of metalloproteinase-1 predicts atrial fibrillation recurrence after radiofrequency catheter ablation. Front Cardiovasc Med 2022; 9:961914. [PMID: 36312240 PMCID: PMC9606231 DOI: 10.3389/fcvm.2022.961914] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2022] [Accepted: 09/20/2022] [Indexed: 11/13/2022] Open
Abstract
Background Tissue inhibitor of metalloproteinase-1 (TIMP-1) levels is strongly associated with cardiac extracellular matrix accumulation and atrial fibrosis. Whether serum levels of TIMP-1 are associated with atrial fibrillation (AF) recurrence following radiofrequency catheter ablation (RFCA) remains unknown. Materials and methods Serum TIMP-1 levels of patients with AF before they underwent initial RFCA were measured using ELISA. Univariate and multivariate-adjusted Cox models were constructed to determine the relationship between TIMP-1 levels and AF recurrence. Multivariate logistic regression analyses were performed to determine predictors of AF recurrence. Results Of the 194 enrolled patients, 61 (31.4%) had AF recurrence within the median 30.0 months (interquartile range: 16.5–33.7 months) of follow-up. These patients had significantly higher baseline TIMP-1 levels than those without AF recurrence (129.8 ± 65.7 vs. 112.0 ± 51.0 ng/ml, P = 0.041). The same was true of high-sensitivity C-reactive protein (3.9 ± 6.0 vs. 1.9 ± 2.8 ng/ml, P = 0.001). When a TIMP-1 cutoff of 124.15 ng/ml was set, patients with TIMP-1 ≥ 124.15 ng/ml had a higher risk of recurrent AF than those with TIMP-1 < 124.15 ng/ml (HR, 1.961, 95% CI, 1.182–2. 253, P = 0.009). Multivariate Cox regression analysis revealed that high TIMP-1 was an independent risk factor for AF recurrence. Univariate Cox regression analysis found that substrate modification surgery does not affect AF recurrence (P = 0.553). Subgroup analysis revealed that female sex, age < 65 years, hypertension (HTN), body mass index (BMI) ≥ 24 kg/m2, CHA2DS2-VASc score < 2, HAS-BLED score < 3, and EHRA score = 3 combined with high TIMP-1 level would perform well at predicting AF recurrence after RFCA. Conclusion Elevated preoperative TIMP-1 levels are related to a higher risk of AF recurrence and can independently predict AF recurrence following RFCA.
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Affiliation(s)
- Haiwei Li
- Beijing Anzhen Hospital, Capital Medical University, Beijing, China
| | - Weiping Sun
- Beijing Anzhen Hospital, Capital Medical University, Beijing, China,Beijing Institute of Heart, Lung and Blood Vessel Disease, Beijing, China,The Key Laboratory of Remodeling-Related Cardiovascular Diseases, Ministry of Education, Beijing, China
| | - Zefeng Wang
- Beijing Anzhen Hospital, Capital Medical University, Beijing, China
| | - Ziyu Wang
- Beijing Anzhen Hospital, Capital Medical University, Beijing, China
| | - Xiao Du
- Beijing Anzhen Hospital, Capital Medical University, Beijing, China
| | - Junjun Chen
- Beijing Anzhen Hospital, Capital Medical University, Beijing, China
| | - Jianwei Gao
- Beijing Anzhen Hospital, Capital Medical University, Beijing, China,Beijing Institute of Heart, Lung and Blood Vessel Disease, Beijing, China
| | - Xuxia Liu
- Beijing Anzhen Hospital, Capital Medical University, Beijing, China,Beijing Institute of Heart, Lung and Blood Vessel Disease, Beijing, China,The Key Laboratory of Remodeling-Related Cardiovascular Diseases, Ministry of Education, Beijing, China
| | - Xipeng Wang
- Beijing Children’s Hospital, Capital Medical University, National Center for Children’s Health, Beijing, China
| | - Yueli Wang
- Beijing Anzhen Hospital, Capital Medical University, Beijing, China
| | - Yongquan Wu
- Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, China,*Correspondence: Yongquan Wu,
| | - Xiaoping Zhang
- Beijing Anzhen Hospital, Capital Medical University, Beijing, China,Beijing Institute of Heart, Lung and Blood Vessel Disease, Beijing, China,The Key Laboratory of Remodeling-Related Cardiovascular Diseases, Ministry of Education, Beijing, China,Xiaoping Zhang,
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13
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Palà E, Bustamante A, Pagola J, Juega J, Francisco-Pascual J, Penalba A, Rodriguez M, De Lera Alfonso M, Arenillas JF, Cabezas JA, Pérez-Sánchez S, Moniche F, de Torres R, González-Alujas T, Clúa-Espuny JL, Ballesta-Ors J, Ribas D, Acosta J, Pedrote A, Gonzalez-Loyola F, Gentile Lorente D, Ángel Muñoz M, Molina CA, Montaner J. Blood-Based Biomarkers to Search for Atrial Fibrillation in High-Risk Asymptomatic Individuals and Cryptogenic Stroke Patients. Front Cardiovasc Med 2022; 9:908053. [PMID: 35859587 PMCID: PMC9289129 DOI: 10.3389/fcvm.2022.908053] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2022] [Accepted: 06/15/2022] [Indexed: 11/24/2022] Open
Abstract
Background Atrial fibrillation (AF) increases the risk of ischemic stroke in asymptomatic individuals and may be the underlying cause of many cryptogenic strokes. We aimed to test the usefulness of candidate blood-biomarkers related to AF pathophysiology in two prospective cohorts representative of those populations. Methods Two hundred seventy-four subjects aged 65–75 years with hypertension and diabetes from the AFRICAT cohort, and 218 cryptogenic stroke patients aged >55 years from the CRYPTO-AF cohort were analyzed. AF was assessed by 4 weeks of monitoring with a wearable Holter device (NuuboTM™). Blood was collected immediately before monitoring started. 10 candidate biomarkers were measured by automated immunoassays (Roche, Penzberg) in the plasma of all patients. Univariate and logistic regression analyses were performed in each cohort separately. Results Atrial fibrillation detection rate was 12.4% (AFRICAT cohort) and 22.9% (CRYPTO-AF cohort). 4 biomarkers were significantly increased in asymptomatic individuals with AF [Troponin-T, Angiopoietin-2 (Ang-2), Endocan, and total N-terminal pro-B type natriuretic peptide (NT-proBNP)] and 7 biomarkers showed significantly higher concentrations in cryptogenic stroke patients with AF detection [growth differentiation factor 15, interleukin 6, Troponin-T, Ang-2, Bone morphogenic protein 10, Dickkopf-related protein 3 (DKK-3), and total NT-proBNP]. The models including Ang-2 and total NT-proBNP [AUC 0.764 (0.665–0.863)], and Ang-2 and DKK-3 [AUC = 0.733 (0.654–0.813)], together with age and sex, showed the best performance to detect AF in high-risk asymptomatic individuals, and in cryptogenic stroke patients, respectively. Conclusion Blood-biomarkers, in particular, total NT-proBNP, DKK-3, and Ang-2, were associated with AF reflecting two mechanistically different pathways involved in AF pathophysiology (AF stretch and vascular changes). The combination of these biomarkers could be useful in AF screening strategies in the primary care setting and also for searching AF after cryptogenic stroke.
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Affiliation(s)
- Elena Palà
- Neurovascular Research Laboratory, Vall d'Hebron Institute of Research, Hospital Vall d'Hebron, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Alejandro Bustamante
- Neurovascular Research Laboratory, Vall d'Hebron Institute of Research, Hospital Vall d'Hebron, Universitat Autònoma de Barcelona, Barcelona, Spain.,Stroke Unit, Hospital Universitari Germans Trias i Pujol, Badalona, Spain
| | - Jorge Pagola
- Stroke Unit, Medicine Department, Vall d'Hebrón Hospital and Autonomous University of Barcelona, Barcelona, Spain
| | - Jesus Juega
- Stroke Unit, Medicine Department, Vall d'Hebrón Hospital and Autonomous University of Barcelona, Barcelona, Spain
| | - Jaume Francisco-Pascual
- Arrhythmia Unit-Cardiology Department, Vall d'Hebrón Hospital, Barcelona, Spain.,Centro de Investigación Biomédica en Red de Enfermedades Cardiovasculares (CIBER-CV), Madrid, Spain
| | - Anna Penalba
- Neurovascular Research Laboratory, Vall d'Hebron Institute of Research, Hospital Vall d'Hebron, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Maite Rodriguez
- Stroke Unit, Medicine Department, Vall d'Hebrón Hospital and Autonomous University of Barcelona, Barcelona, Spain
| | | | - Juan F Arenillas
- Stroke Unit, University Hospital of Valladolid, Valladolid, Spain
| | | | | | | | - Reyes de Torres
- Stroke Unit, University Hospital Virgen Macarena, Seville, Spain
| | - Teresa González-Alujas
- Centro de Investigación Biomédica en Red de Enfermedades Cardiovasculares (CIBER-CV), Madrid, Spain.,Echocardiography Lab Cardiology Department, Vall d'Hebrón Hospital, Barcelona, Spain
| | - Josep Lluís Clúa-Espuny
- Equip d'Atenció Primària Tortosa Est, SAP Terres de l'Ebre, Institut Català de la Salut, Tortosa, Spain.,Institut d'Investigació en Atenció Primària IDIAP Jordi Gol, Ebrictus Group, Barcelona, Spain
| | - Juan Ballesta-Ors
- Institut d'Investigació en Atenció Primària IDIAP Jordi Gol, Ebrictus Group, Barcelona, Spain
| | - Domingo Ribas
- EAP Sant Pere i Sant Pau, DAP Camp de Tarragona, Institut Català de la Salut, Tarragona, Spain
| | - Juan Acosta
- Department of Cardiology, Hospital Universitario Virgen del Rocio, Seville, Spain
| | - Alonso Pedrote
- Department of Cardiology, Hospital Universitario Virgen del Rocio, Seville, Spain
| | - Felipe Gonzalez-Loyola
- Gerència Atenció Primària de Barcelona, Institut Català de la Salut, Barcelona, Spain.,Institut d'Investigació en Atenció Primària IDIAP Jordi Gol, Unitat Suport Recerca Barcelona, Barcelona, Spain
| | - Delicia Gentile Lorente
- Institut d'Investigació en Atenció Primària IDIAP Jordi Gol, Ebrictus Group, Barcelona, Spain.,Cardiology Department, Hospital Verge de la Cinta, Institut Català de la Salut, Tortosa, Spain
| | - Miguel Ángel Muñoz
- Gerència Atenció Primària de Barcelona, Institut Català de la Salut, Barcelona, Spain.,Institut d'Investigació en Atenció Primària IDIAP Jordi Gol, Unitat Suport Recerca Barcelona, Barcelona, Spain
| | - Carlos A Molina
- Stroke Unit, Hospital Universitari Germans Trias i Pujol, Badalona, Spain
| | - Joan Montaner
- Neurovascular Research Laboratory, Vall d'Hebron Institute of Research, Hospital Vall d'Hebron, Universitat Autònoma de Barcelona, Barcelona, Spain
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