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Martin-Blazquez A, Martin-Lorenzo M, Santiago-Hernandez A, Heredero A, Donado A, Lopez JA, Anfaiha-Sanchez M, Ruiz-Jimenez R, Esteban V, Vazquez J, Aldamiz-Echevarria G, Alvarez-Llamas G. Analysis of Vascular Smooth Muscle Cells from Thoracic Aortic Aneurysms Reveals DNA Damage and Cell Cycle Arrest as Hallmarks in Bicuspid Aortic Valve Patients. J Proteome Res 2024. [PMID: 38594816 DOI: 10.1021/acs.jproteome.3c00649] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/11/2024]
Abstract
Thoracic aortic aneurysm (TAA) is mainly sporadic and with higher incidence in the presence of a bicuspid aortic valve (BAV) for unknown reasons. The lack of drug therapy to delay TAA progression lies in the limited knowledge of pathophysiology. We aimed to identify the molecular hallmarks that differentiate the aortic dilatation associated with BAV and tricuspid aortic valve (TAV). Aortic vascular smooth muscle cells (VSMCs) isolated from sporadic TAA patients with BAV or TAV were analyzed by mass spectrometry. DNA oxidative damage assay and cell cycle profiling were performed in three independent cohorts supporting proteomics data. The alteration of secreted proteins was confirmed in plasma. Stress phenotype, oxidative stress, and enhanced DNA damage response (increased S-phase arrest and apoptosis) were found in BAV-TAA patients. The increased levels of plasma C1QTNF5, LAMA2, THSB3, and FAP confirm the enhanced stress in BAV-TAA. Plasma FAP and BGN point to an increased inflammatory condition in TAV. The arterial wall of BAV patients shows a limited capacity to counteract drivers of sporadic TAA. The molecular pathways identified support the need of differential molecular diagnosis and therapeutic approaches for BAV and TAV patients, showing specific markers in plasma which may serve to monitor therapy efficacy.
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Affiliation(s)
- Ariadna Martin-Blazquez
- Immunology Department, IIS-Fundación Jiménez Díaz, Fundación Jiménez Díaz Hospital-UAM, 28040 Madrid, Spain
| | - Marta Martin-Lorenzo
- Immunology Department, IIS-Fundación Jiménez Díaz, Fundación Jiménez Díaz Hospital-UAM, 28040 Madrid, Spain
| | | | - Angeles Heredero
- Cardiac Surgery Service, Fundación Jiménez Díaz Hospital-UAM, 28040 Madrid, Spain
| | - Alicia Donado
- Cardiac Surgery Service, Fundación Jiménez Díaz Hospital-UAM, 28040 Madrid, Spain
| | - Juan A Lopez
- Laboratory of Cardiovascular Proteomics, Centro Nacional de Investigaciones Cardiovasculares (CNIC), 28029 Madrid, Spain
- CIBER de Enfermedades Cardiovasculares (CIBERCV), 28029 Madrid, Spain
| | - Miriam Anfaiha-Sanchez
- Immunology Department, IIS-Fundación Jiménez Díaz, Fundación Jiménez Díaz Hospital-UAM, 28040 Madrid, Spain
| | - Rocio Ruiz-Jimenez
- Immunology Department, IIS-Fundación Jiménez Díaz, Fundación Jiménez Díaz Hospital-UAM, 28040 Madrid, Spain
| | - Vanesa Esteban
- Department of Allergy and Immunology, IIS-Fundación Jiménez Díaz, Fundación Jiménez Díaz Hospital-UAM, 28040 Madrid, Spain
- Faculty of Medicine and Biomedicine, Alfonso X El Sabio University, 28691 Madrid, Spain
| | - Jesus Vazquez
- Laboratory of Cardiovascular Proteomics, Centro Nacional de Investigaciones Cardiovasculares (CNIC), 28029 Madrid, Spain
- CIBER de Enfermedades Cardiovasculares (CIBERCV), 28029 Madrid, Spain
| | | | - Gloria Alvarez-Llamas
- Immunology Department, IIS-Fundación Jiménez Díaz, Fundación Jiménez Díaz Hospital-UAM, 28040 Madrid, Spain
- RICORS2040, Fundación Jiménez Díaz, 28040 Madrid, Spain
- Department of Biochemistry and Molecular Biology, Complutense University, 28040 Madrid, Spain
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Pirruccello JP, Lin H, Khurshid S, Nekoui M, Weng LC, Ramachandran VS, Isselbacher EM, Benjamin EJ, Lubitz SA, Lindsay ME, Ellinor PT. Development of a Prediction Model for Ascending Aortic Diameter Among Asymptomatic Individuals. JAMA 2022; 328:1935-1944. [PMID: 36378208 PMCID: PMC9667326 DOI: 10.1001/jama.2022.19701] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
IMPORTANCE Ascending thoracic aortic disease is an important cause of sudden death in the US, yet most aortic aneurysms are identified incidentally. OBJECTIVE To develop and validate a clinical score to estimate ascending aortic diameter. DESIGN, SETTING, AND PARTICIPANTS Using an ongoing magnetic resonance imaging substudy of the UK Biobank cohort study, which had enrolled participants from 2006 through 2010, score derivation was performed in 30 018 participants and internal validation in an additional 6681. External validation was performed in 1367 participants from the Framingham Heart Study (FHS) offspring cohort who had undergone computed tomography from 2002 through 2005, and in 50 768 individuals who had undergone transthoracic echocardiography in the Community Care Cohort Project, a retrospective hospital-based cohort of longitudinal primary care patients in the Mass General Brigham (MGB) network between 2001-2018. EXPOSURES Demographic and clinical variables (11 covariates that would not independently prompt thoracic imaging). MAIN OUTCOMES AND MEASURES Ascending aortic diameter was modeled with hierarchical group least absolute shrinkage and selection operator (LASSO) regression. Correlation between estimated and measured diameter and performance for identifying diameter 4.0 cm or greater were assessed. RESULTS The 30 018-participant training cohort (52% women), were a median age of 65.1 years (IQR, 58.6-70.6 years). The mean (SD) ascending aortic diameter was 3.04 (0.31) cm for women and 3.32 (0.34) cm for men. A score to estimate ascending aortic diameter explained 28.2% of the variance in aortic diameter in the UK Biobank validation cohort (95% CI, 26.4%-30.0%), 30.8% in the FHS cohort (95% CI, 26.8%-34.9%), and 32.6% in the MGB cohort (95% CI, 31.9%-33.2%). For detecting individuals with an ascending aortic diameter of 4 cm or greater, the score had an area under the receiver operator characteristic curve of 0.770 (95% CI, 0.737-0.803) in the UK Biobank, 0.813 (95% CI, 0.772-0.854) in the FHS, and 0.766 (95% CI, 0.757-0.774) in the MGB cohorts, although the model significantly overestimated or underestimated aortic diameter in external validation. Using a fixed-score threshold of 3.537, 9.7 people in UK Biobank, 1.8 in the FHS, and 4.6 in the MGB cohorts would need imaging to confirm 1 individual with an ascending aortic diameter of 4 cm or greater. The sensitivity at that threshold was 8.9% in the UK Biobank, 11.3% in the FHS, and 18.8% in the MGB cohorts, with specificities of 98.1%, 99.2%, and 96.2%, respectively. CONCLUSIONS AND RELEVANCE A prediction model based on common clinically available data was derived and validated to predict ascending aortic diameter. Further research is needed to optimize the prediction model and to determine whether its use is associated with improved outcomes.
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Affiliation(s)
- James P. Pirruccello
- Cardiology Division, Massachusetts General Hospital, Boston, Massachusetts
- Cardiovascular Research Center, Massachusetts General Hospital, Boston
- Cardiovascular Disease Initiative, Broad Institute of MIT and Harvard, Cambridge, Massachusetts
- Harvard Medical School, Boston, Massachusetts
- Division of Cardiology, University of California San Francisco
| | - Honghuang Lin
- Framingham Heart Study, Boston University, Framingham, Massachusetts
- University of Massachusetts Medical School, Worcester
- National Heart, Lung, and Blood Institute, Framingham, Massachusetts
| | - Shaan Khurshid
- Cardiology Division, Massachusetts General Hospital, Boston, Massachusetts
- Cardiovascular Research Center, Massachusetts General Hospital, Boston
- Cardiovascular Disease Initiative, Broad Institute of MIT and Harvard, Cambridge, Massachusetts
- Harvard Medical School, Boston, Massachusetts
| | - Mahan Nekoui
- Cardiovascular Disease Initiative, Broad Institute of MIT and Harvard, Cambridge, Massachusetts
- Harvard Medical School, Boston, Massachusetts
- Department of Medicine, Massachusetts General Hospital, Boston
| | - Lu-Chen Weng
- Cardiovascular Research Center, Massachusetts General Hospital, Boston
- Cardiovascular Disease Initiative, Broad Institute of MIT and Harvard, Cambridge, Massachusetts
| | - Vasan S. Ramachandran
- Framingham Heart Study, Boston University, Framingham, Massachusetts
- National Heart, Lung, and Blood Institute, Framingham, Massachusetts
- Department of Medicine, Cardiology and Preventive Medicine Sections, Boston Medical Center, Boston University School of Medicine, Boston, Massachusetts
- Epidemiology Department, Boston University School of Public Health, Boston, Massachusetts
| | - Eric M. Isselbacher
- Cardiology Division, Massachusetts General Hospital, Boston, Massachusetts
- Harvard Medical School, Boston, Massachusetts
- Thoracic Aortic Center, Massachusetts General Hospital, Boston
| | - Emelia J. Benjamin
- Framingham Heart Study, Boston University, Framingham, Massachusetts
- National Heart, Lung, and Blood Institute, Framingham, Massachusetts
- Department of Medicine, Cardiology and Preventive Medicine Sections, Boston Medical Center, Boston University School of Medicine, Boston, Massachusetts
- Epidemiology Department, Boston University School of Public Health, Boston, Massachusetts
| | - Steven A. Lubitz
- Cardiology Division, Massachusetts General Hospital, Boston, Massachusetts
- Cardiovascular Research Center, Massachusetts General Hospital, Boston
- Cardiovascular Disease Initiative, Broad Institute of MIT and Harvard, Cambridge, Massachusetts
- Harvard Medical School, Boston, Massachusetts
- Demoulas Center for Cardiac Arrhythmias, Massachusetts General Hospital, Boston
- Novartis Institutes for Biomedical Research, Cambridge, Massachusetts
| | - Mark E. Lindsay
- Cardiology Division, Massachusetts General Hospital, Boston, Massachusetts
- Cardiovascular Research Center, Massachusetts General Hospital, Boston
- Cardiovascular Disease Initiative, Broad Institute of MIT and Harvard, Cambridge, Massachusetts
- Harvard Medical School, Boston, Massachusetts
- Thoracic Aortic Center, Massachusetts General Hospital, Boston
| | - Patrick T. Ellinor
- Cardiology Division, Massachusetts General Hospital, Boston, Massachusetts
- Cardiovascular Research Center, Massachusetts General Hospital, Boston
- Cardiovascular Disease Initiative, Broad Institute of MIT and Harvard, Cambridge, Massachusetts
- Harvard Medical School, Boston, Massachusetts
- Demoulas Center for Cardiac Arrhythmias, Massachusetts General Hospital, Boston
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Shirasu T, Takagi H, Yasuhara J, Kuno T, Kent KC, Clouse WD. Smaller size is more suitable for pharmacotherapy among undersized abdominal aortic aneurysm: a systematic review and meta-analysis. Vasc Med 2021; 27:261-268. [PMID: 34930052 DOI: 10.1177/1358863x211061603] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
Background: Pharmacotherapy for undersized abdominal aortic aneurysm (AAA) is a clinical unmet need. Randomized controlled trials (RCTs) have failed to show effectiveness despite countless promising data in preclinical studies. We aimed to identify the population with undersized AAAs (30-54 mm) who potentially benefit from pharmacotherapy. Methods: In accordance with the PRISMA statement, we conducted a systematic review and meta-analysis of placebo-controlled RCTs. The primary outcome was mean difference (MD) in annual growth rate (< 0 favors pharmacotherapy), and the secondary outcome was aneurysm-related events (diameters ⩾ 55 mm, ruptures, or referral to surgery). Results: Our search strategy identified eight RCTs (six trials on antibiotics [ABx], two on renin-angiotensin system inhibitors [RAS-I]) with a total of 1325 patients. The mean of baseline diameters ranged from 33.1 mm to 43.1 mm. Neither ABx nor RAS-I showed significant differences in MD. Multivariable random-effects restricted maximum likelihood meta-regression revealed a statistically significant linear relationship between baseline diameter and MD (coefficient 0.15 [95% CI 0.0011, 0.30], p = 0.049) but not for the follow-up period (p = 0.28) and duration of treatment (p = 0.11). In line with this result, ABx with baseline diameter < 40 mm significantly reduced MD (-1.03 mm/year [95% CI -1.64, -0.42], p = 0.001) and a borderline significant difference in aneurysm-related events (HR 0.53 [95% CI 0.28, 1.00], p = 0.05), whereas the other groups ⩾ 40 mm never demonstrated effectiveness. Fixed-effect models did not change the results. No evidence of publication bias was detected. Conclusion: Undersized AAAs < 40 mm can potentially benefit from pharmacotherapy. Future RCTs should consider preferentially including undersized AAA with smaller diameters.
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Affiliation(s)
- Takuro Shirasu
- Division of Vascular & Endovascular Surgery, University of Virginia Health System, Charlottesville, VA, USA
| | - Hisato Takagi
- Department of Cardiovascular Surgery, Shizuoka Medical Center, Shizuoka, Japan
| | - Jun Yasuhara
- Center for Cardiovascular Research, The Abigail Wexner Research Institute and The Heart Center, Nationwide Children's Hospital, Columbus, OH, USA
| | - Toshiki Kuno
- Department of Cardiology, Montefiore Medical Center, Albert Einstein Medical College, New York, NY, USA
| | - K Craig Kent
- Division of Vascular & Endovascular Surgery, University of Virginia Health System, Charlottesville, VA, USA
| | - W Darrin Clouse
- Division of Vascular & Endovascular Surgery, University of Virginia Health System, Charlottesville, VA, USA
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