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Liu HH, Li S, Zhang Y, Guo YL, Zhu CG, Wu NQ, Gao Y, Xu RX, Dong Q, Li JJ. Joint Association of Lipoprotein(a) and a Family History of Coronary Artery Disease with the Cardiovascular Outcomes in Patients with Chronic Coronary Syndrome. J Atheroscler Thromb 2024; 31:1319-1332. [PMID: 38616111 PMCID: PMC11374575 DOI: 10.5551/jat.64693] [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] [Indexed: 04/16/2024] Open
Abstract
AIM No data are currently available regarding the association between Lp(a) and the cardiovascular outcomes in patients with coronary artery disease (CAD) according to their family history (FHx) of CAD. This study aimed to evaluate the significance of Lp(a) in predicting major adverse cardiovascular events (MACEs) in patients with chronic coronary syndrome (CCS) with or without FHx. METHODS A total of 6056 patients with CCS were enrolled. Information on FHx was collected, and the plasma Lp(a) levels were measured. All patients were followed up regularly. The independent and joint associations of Lp(a) and FHx with the risk of MACEs, including cardiovascular death, nonfatal myocardial infarction, and stroke, were analyzed. RESULTS With over an average of 50.35±18.58 months follow-up, 378 MACEs were recorded. A Cox regression analysis showed an elevated Lp(a) level to be an independent predictor for MACEs in patients with [hazard ratio (HR): 2.77, 95% confidence interval (CI): 1.38-5.54] or without FHx (HR: 1.35, 95% CI: 1.02-1.77). In comparison to subjects with non-elevated Lp(a) and negative FHx, patients with elevated Lp(a) alone were at a nominally higher risk of MACEs (HR: 1.26, 95% CI: 0.96-1.67), while those with both had the highest risk (HR: 1.93, 95% CI: 1.14-3.28). Moreover, adding Lp(a) to the original model increased the C-statistic by 0.048 in subjects with FHx (p=0.004) and by 0.004 in those without FHx (p=0.391). CONCLUSIONS The present study is the first to suggest that Lp(a) could be used to predict MACEs in CCS patients with or without FHx; however, its prognostic significance was more noteworthy in patients with FHx.
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Affiliation(s)
- Hui-Hui Liu
- Cardiometabolic Center, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, National Clinical Research, Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College
- Heart Failure Center, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, National Clinical Research, Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College
| | - Sha Li
- Cardiometabolic Center, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, National Clinical Research, Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College
| | - Yan Zhang
- Cardiometabolic Center, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, National Clinical Research, Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College
| | - Yuan-Lin Guo
- Cardiometabolic Center, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, National Clinical Research, Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College
| | - Cheng-Gang Zhu
- Cardiometabolic Center, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, National Clinical Research, Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College
| | - Na-Qiong Wu
- Cardiometabolic Center, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, National Clinical Research, Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College
| | - Ying Gao
- Cardiometabolic Center, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, National Clinical Research, Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College
| | - Rui-Xia Xu
- Cardiometabolic Center, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, National Clinical Research, Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College
| | - Qian Dong
- Cardiometabolic Center, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, National Clinical Research, Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College
| | - Jian-Jun Li
- Cardiometabolic Center, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, National Clinical Research, Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College
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2
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Zhang L, Feng Q, Kong W. ECM Microenvironment in Vascular Homeostasis: New Targets for Atherosclerosis. Physiology (Bethesda) 2024; 39:0. [PMID: 38984789 DOI: 10.1152/physiol.00028.2023] [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: 11/20/2023] [Revised: 03/05/2024] [Accepted: 03/23/2024] [Indexed: 07/11/2024] Open
Abstract
Alterations in vascular extracellular matrix (ECM) components, interactions, and mechanical properties influence both the formation and stability of atherosclerotic plaques. This review discusses the contribution of the ECM microenvironment in vascular homeostasis and remodeling in atherosclerosis, highlighting Cartilage oligomeric matrix protein (COMP) and its degrading enzyme ADAMTS7 as examples, and proposes potential avenues for future research aimed at identifying novel therapeutic targets for atherosclerosis based on the ECM microenvironment.
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Affiliation(s)
- Lu Zhang
- Medical Research Center, The Affiliated Hospital of Qingdao University, Qingdao, China
| | - Qianqian Feng
- Department of Physiology and Pathophysiology, School of Basic Medical Sciences, State Key Laboratory of Vascular Homeostasis and Remodeling, Peking University, Beijing, China
| | - Wei Kong
- Department of Physiology and Pathophysiology, School of Basic Medical Sciences, State Key Laboratory of Vascular Homeostasis and Remodeling, Peking University, Beijing, China
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3
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Fu C, Wang L, Cai W. IL6 receptor inhibitors: exploring the therapeutic potential across multiple diseases through drug target Mendelian randomization. Front Immunol 2024; 15:1452849. [PMID: 39229261 PMCID: PMC11368790 DOI: 10.3389/fimmu.2024.1452849] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2024] [Accepted: 08/05/2024] [Indexed: 09/05/2024] Open
Abstract
Background High interleukin-6 levels correlate with diseases like cancer, autoimmune disorders, and infections. IL-6 receptor inhibitors (IL-6Ri), used for rheumatoid arthritis and COVID-19, may have wider uses. We apply drug-target Mendelian Randomization (MR) to study IL-6Ri's effects. Method To simulate the effects of genetically blocking the IL-6R, we selected single nucleotide polymorphisms (SNPs) within or near the IL6R gene that show significant genome-wide associations with C-reactive protein. Using rheumatoid arthritis and COVID-19 as positive controls, our primary research outcomes included the risk of asthma, asthmatic pneumonia, cor pulmonale, non-small cell lung cancer, small cell lung cancer, Parkinson's disease, Alzheimer's disease, ulcerative colitis, Crohn's disease, systemic lupus erythematosus, type 1 diabetes, and type 2 diabetes. The Inverse Variance Weighted (IVW) method served as our principal analytical approach, with the hypotheses of MR being evaluated through sensitivity and colocalization analyses. Additionally, we conducted Bayesian Mendelian Randomization analyses to minimize confounding and reverse causation biases to the greatest extent possible. Results IL-6 inhibitors significantly reduced the risk of idiopathic pulmonary fibrosis (OR= 0.278, 95% [CI], 0.138-0.558; P <0.001), Parkinson's disease (OR = 0.354, 95% CI, 0.215-0.582; P <0.001), and positively influenced the causal relationship with Type 2 diabetes (OR = 0.759, 95% CI, 0.637-0.905; P = 0.002). However, these inhibitors increased the risk for asthma (OR = 1.327, 95% CI, 1.118-1.576; P = 0.001) and asthmatic pneumonia (OR = 1.823, 95% CI, 1.246-2.666; P = 0.002). The causal effect estimates obtained via the BWMR method are consistent with those based on the IVW approach. Similarly, sIL-6R also exerts a significant influence on these diseases.Diseases such as Alzheimer's disease, Crohn's disease, pulmonary heart disease, systemic lupus erythematosus, Type 1 diabetes, Non-small cell lung cancer and ulcerative colitis showed non-significant associations (p > 0.05) and were excluded from further analysis. Similarly, Small cell lung cancer were excluded due to inconsistent results. Notably, the colocalization evidence for asthmatic pneumonia (coloc.abf-PPH4 = 0.811) robustly supports its association with CRP. The colocalization evidence for Parkinson's disease (coloc.abf-PPH4 = 0.725) moderately supports its association with CRP. Conclusion IL-6Ri may represent a promising therapeutic avenue for idiopathic pulmonary fibrosis, Parkinson's disease, and Type 2 diabetes.
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Affiliation(s)
- Chong Fu
- Department of Gastroenterology, Anqing Municipal Hospital, Anqing, Anhui, China
| | - Longquan Wang
- Department of Geriatric Medicine, The First Affiliated Hospital of Wannan Medical College, Wuhu, Anhui, China
| | - Wenjiao Cai
- Department of Nephrology, Anqing Municipal Hospital, Anqing, Anhui, China
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4
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Rudman-Melnick V, Vanhoutte D, Stowers K, Sargent M, Adam M, Ma Q, Perl AKT, Miethke AG, Burg A, Shi T, Hildeman DA, Woodle ESS, Kofron JM, Devarajan P. Gucy1α1 specifically marks kidney, heart, lung and liver fibroblasts. RESEARCH SQUARE 2024:rs.3.rs-4746078. [PMID: 39184103 PMCID: PMC11343171 DOI: 10.21203/rs.3.rs-4746078/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/27/2024]
Abstract
Fibrosis is a common outcome of numerous pathologies, including chronic kidney disease (CKD), a progressive renal function deterioration. Current approaches to target activated fibroblasts, key effector contributors to fibrotic tissue remodeling, lack specificity. Here, we report Gucy1α1 as a specific kidney fibroblast marker. Gucy1α1 levels significantly increased over the course of two clinically relevant murine CKD models and directly correlated with established fibrosis markers. Immunofluorescent (IF) imaging showed that Gucy1α1 comprehensively labelled cortical and medullary quiescent and activated fibroblasts in the control kidney and throughout injury progression, respectively. Unlike traditionally used markers platelet derived growth factor receptor beta (Pdgfrβ) and vimentin (Vim), Gucy1α1 did not overlap with off-target populations such as podocytes. Notably, Gucy1α1 labelled kidney fibroblasts in both male and female mice. Furthermore, we observed elevated Gucy1α1 expression in the human fibrotic kidney and lung. Studies in the murine models of cardiac and liver fibrosis revealed Gucy1α1 elevation in activated Pdgfrβ-, Vim- and alpha smooth muscle actin (αSma)-expressing fibroblasts paralleling injury progression and resolution. Overall, we demonstrate Gucy1α1 as an exclusive fibroblast marker in both sexes. Due to its multiorgan translational potential, Gucy1α1 might provide a novel promising strategy to specifically target and mechanistically examine fibroblasts.
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Affiliation(s)
| | | | | | | | - Mike Adam
- Cincinnati Children's Hospital Medical Center
| | - Qing Ma
- Cincinnati Children's Hospital Medical Center
| | | | | | - Ashley Burg
- Cincinnati Children's Hospital Medical Center
| | - Tiffany Shi
- Cincinnati Children's Hospital Medical Center
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5
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Afzal Z, Cao H, Chaudhary M, Chigurupati HD, Neppala S, Alruwaili W, Awad M, Sandesara D, Siddique M, Farman A, Zafrullah F, Gonuguntla K, Sattar Y. Elevated lipoprotein(a) levels: A crucial determinant of cardiovascular disease risk and target for emerging therapies. Curr Probl Cardiol 2024; 49:102586. [PMID: 38653440 DOI: 10.1016/j.cpcardiol.2024.102586] [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: 04/15/2024] [Accepted: 04/20/2024] [Indexed: 04/25/2024]
Abstract
Cardiovascular disease (CVD) remains a significant global health challenge despite advancements in prevention and treatment. Elevated Lipoprotein(a) [Lp(a)] levels have emerged as a crucial risk factor for CVD and aortic stenosis, affecting approximately 20 of the global population. Research over the last decade has established Lp(a) as an independent genetic contributor to CVD and aortic stenosis, beginning with Kare Berg's discovery in 1963. This has led to extensive exploration of its molecular structure and pathogenic roles. Despite the unknown physiological function of Lp(a), studies have shed light on its metabolism, genetics, and involvement in atherosclerosis, inflammation, and thrombosis. Epidemiological evidence highlights the link between high Lp(a) levels and increased cardiovascular morbidity and mortality. Newly emerging therapies, including pelacarsen, zerlasiran, olpasiran, muvalaplin, and lepodisiran, show promise in significantly lowering Lp(a) levels, potentially transforming the management of cardiovascular disease. However, further research is essential to assess these novel therapies' long-term efficacy and safety, heralding a new era in cardiovascular disease prevention and treatment and providing hope for at-risk patients.
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Affiliation(s)
- Zeeshan Afzal
- Department of Medicine, Shanxi Medical University, China
| | - Huili Cao
- Department of Cardiology, Second Hospital of Shanxi Medical University, China
| | | | - Himaja Dutt Chigurupati
- Department of Internal Medicine, New York Medical College at Saint Michael's Medical Center, NJ, USA
| | - Sivaram Neppala
- Department of Medicine, University of Texas Health Science Center, San Antonio, TX, USA
| | - Waleed Alruwaili
- Department of Internal Medicine, West Virginia University, Morgantown, WV, USA
| | - Maan Awad
- Department of Internal Medicine, West Virginia University, Morgantown, WV, USA
| | | | | | - Ali Farman
- Department of Medicine, Corewell Health Dearborn Hospital, Dearborn, MI, USA
| | - Fnu Zafrullah
- Department of Cardiology, Ascension Borgess Hospital, MI, USA
| | | | - Yasar Sattar
- Department of Cardiology, West Virginia University, Morgantown, WV, USA.
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6
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Baker S, Biroli P, van Kippersluis H, von Hinke S. Advantageous early-life environments cushion the genetic risk for ischemic heart disease. Proc Natl Acad Sci U S A 2024; 121:e2314056121. [PMID: 38917008 PMCID: PMC11228495 DOI: 10.1073/pnas.2314056121] [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: 08/15/2023] [Accepted: 04/18/2024] [Indexed: 06/27/2024] Open
Abstract
In one of the first papers on the impact of early-life conditions on individuals' health in older age, Barker and Osmond [Lancet, 327, 1077-1081 (1986)] show a strong positive relationship between infant mortality rates in the 1920s and ischemic heart disease in the 1970s. We merge historical data on infant mortality rates to 370,000 individual records in the UK Biobank using information on local area and year of birth. We replicate the association between the early-life infant mortality rate and later-life ischemic heart disease in our sample. We then go "beyond Barker," by showing considerable genetic heterogeneity in this association that is robust to within-area as well as within-family analyses. We find no association between the polygenic index and heart disease in areas with the lowest infant mortality rates, but a strong positive relationship in areas characterized by high infant mortality. These findings suggest that advantageous environments can cushion one's genetic disease risk.
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Affiliation(s)
- Samuel Baker
- School of Economics, University of Bristol, Bristol BS8 1TU, United Kingdom
| | - Pietro Biroli
- Department of Economic Sciences, University of Bologna, Bologna, Italy
| | - Hans van Kippersluis
- Erasmus School of Economics, Erasmus University Rotterdam, 3062 PA Rotterdam, The Netherlands
| | - Stephanie von Hinke
- School of Economics, University of Bristol, Bristol BS8 1TU, United Kingdom
- Institute for Fiscal Studies, London WC1E 7AE, United Kingdom
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7
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Trastulla L, Dolgalev G, Moser S, Jiménez-Barrón LT, Andlauer TFM, von Scheidt M, Budde M, Heilbronner U, Papiol S, Teumer A, Homuth G, Völzke H, Dörr M, Falkai P, Schulze TG, Gagneur J, Iorio F, Müller-Myhsok B, Schunkert H, Ziller MJ. Distinct genetic liability profiles define clinically relevant patient strata across common diseases. Nat Commun 2024; 15:5534. [PMID: 38951512 PMCID: PMC11217418 DOI: 10.1038/s41467-024-49338-2] [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: 02/20/2024] [Accepted: 05/31/2024] [Indexed: 07/03/2024] Open
Abstract
Stratified medicine holds great promise to tailor treatment to the needs of individual patients. While genetics holds great potential to aid patient stratification, it remains a major challenge to operationalize complex genetic risk factor profiles to deconstruct clinical heterogeneity. Contemporary approaches to this problem rely on polygenic risk scores (PRS), which provide only limited clinical utility and lack a clear biological foundation. To overcome these limitations, we develop the CASTom-iGEx approach to stratify individuals based on the aggregated impact of their genetic risk factor profiles on tissue specific gene expression levels. The paradigmatic application of this approach to coronary artery disease or schizophrenia patient cohorts identified diverse strata or biotypes. These biotypes are characterized by distinct endophenotype profiles as well as clinical parameters and are fundamentally distinct from PRS based groupings. In stark contrast to the latter, the CASTom-iGEx strategy discovers biologically meaningful and clinically actionable patient subgroups, where complex genetic liabilities are not randomly distributed across individuals but rather converge onto distinct disease relevant biological processes. These results support the notion of different patient biotypes characterized by partially distinct pathomechanisms. Thus, the universally applicable approach presented here has the potential to constitute an important component of future personalized medicine paradigms.
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Affiliation(s)
- Lucia Trastulla
- Max Planck Institute of Psychiatry, Munich, Germany
- Technische Universität München Medical Graduate Center Experimental Medicine, Munich, Germany
- Human Technopole, Milan, Italy
- Department of Psychiatry, University of Münster, Münster, Germany
| | - Georgii Dolgalev
- Department of Psychiatry, University of Münster, Münster, Germany
| | - Sylvain Moser
- Max Planck Institute of Psychiatry, Munich, Germany
- Technische Universität München Medical Graduate Center Experimental Medicine, Munich, Germany
- International Max Planck Research School for Translational Psychiatry (IMPRS-TP), Munich, Germany
| | - Laura T Jiménez-Barrón
- Max Planck Institute of Psychiatry, Munich, Germany
- International Max Planck Research School for Translational Psychiatry (IMPRS-TP), Munich, Germany
| | - Till F M Andlauer
- Max Planck Institute of Psychiatry, Munich, Germany
- Department of Neurology, Klinikum rechts der Isar, School of Medicine, Technical University of Munich, Munich, Germany
| | - Moritz von Scheidt
- Klinik für Herz-und Kreislauferkrankungen, Deutsches Herzzentrum München, Technical University Munich, Munich, Germany
- German Center for Cardiovascular Research (DZHK), Partner Site Munich Heart Alliance, Munich, Germany
| | - Monika Budde
- Institute of Psychiatric Phenomics and Genomics (IPPG), LMU University Hospital, LMU Munich, Munich, 80336, Germany
| | - Urs Heilbronner
- Institute of Psychiatric Phenomics and Genomics (IPPG), LMU University Hospital, LMU Munich, Munich, 80336, Germany
| | - Sergi Papiol
- Max Planck Institute of Psychiatry, Munich, Germany
- Institute of Psychiatric Phenomics and Genomics (IPPG), LMU University Hospital, LMU Munich, Munich, 80336, Germany
| | - Alexander Teumer
- German Center for Cardiovascular Research (DZHK), Partner Site Greifswald, Greifswald, Germany
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany
| | - Georg Homuth
- Interfaculty Institute for Genetics and Functional Genomics, University Medicine Greifswald, Greifswald, Germany
| | - Henry Völzke
- German Center for Cardiovascular Research (DZHK), Partner Site Greifswald, Greifswald, Germany
- Institute of Community Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Marcus Dörr
- German Center for Cardiovascular Research (DZHK), Partner Site Greifswald, Greifswald, Germany
- Department of Internal Medicine B, University Medicine Greifswald, Greifswald, Germany
| | - Peter Falkai
- Max Planck Institute of Psychiatry, Munich, Germany
- Department of Psychiatry and Psychotherapy, University Hospital, LMU Munich, Munich, 80336, Germany
| | - Thomas G Schulze
- Institute of Psychiatric Phenomics and Genomics (IPPG), LMU University Hospital, LMU Munich, Munich, 80336, Germany
- Department of Psychiatry and Behavioral Sciences, SUNY Upstate Medical University, Syracuse, NY, USA
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Julien Gagneur
- School of Computation, Information and Technology, Technical University of Munich, Garching, Germany
- Institute of Human Genetics, School of Medicine and Health, Technical University of Munich, Munich, Germany
- Computational Health Center, Helmholtz Center Munich, Neuherberg, Germany
| | | | - Bertram Müller-Myhsok
- Max Planck Institute of Psychiatry, Munich, Germany
- Institute of Translational Medicine, University of Liverpool, Liverpool, UK
| | - Heribert Schunkert
- Klinik für Herz-und Kreislauferkrankungen, Deutsches Herzzentrum München, Technical University Munich, Munich, Germany
- German Center for Cardiovascular Research (DZHK), Partner Site Munich Heart Alliance, Munich, Germany
| | - Michael J Ziller
- Max Planck Institute of Psychiatry, Munich, Germany.
- Department of Psychiatry, University of Münster, Münster, Germany.
- Center for Soft Nanoscience, University of Münster, Münster, Germany.
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Shi W, Song J, Weiner JM, Chopra A, Dommisch H, Beule D, Schaefer AS. lncRNA CDKN2B-AS1 regulates collagen expression. Hum Genet 2024; 143:907-919. [PMID: 38833008 PMCID: PMC11294485 DOI: 10.1007/s00439-024-02674-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2023] [Accepted: 04/27/2024] [Indexed: 06/06/2024]
Abstract
The long noncoding RNA CDKN2B-AS1 harbors a major coronary artery disease risk haplotype, which is also associated with progressive forms of the oral inflammatory disease periodontitis as well as myocardial infarction (MI). Despite extensive research, there is currently no broad consensus on the function of CDKN2B-AS1 that would explain a common molecular role of this lncRNA in these diseases. Our aim was to investigate the role of CDKN2B-AS1 in gingival cells to better understand the molecular mechanisms underlying the increased risk of progressive periodontitis. We downregulated CDKN2B-AS1 transcript levels in primary gingival fibroblasts with LNA GapmeRs. Following RNA-sequencing, we performed differential expression, gene set enrichment analyses and Western Blotting. Putative causal alleles were searched by analyzing associated DNA sequence variants for changes of predicted transcription factor binding sites. We functionally characterized putative functional alleles using luciferase-reporter and antibody electrophoretic mobility shift assays in gingival fibroblasts and HeLa cells. Of all gene sets analysed, collagen biosynthesis was most significantly upregulated (Padj=9.7 × 10- 5 (AUC > 0.65) with the CAD and MI risk gene COL4A1 showing strongest upregulation of the enriched gene sets (Fold change = 12.13, Padj = 4.9 × 10- 25). The inflammatory "TNFA signaling via NFKB" gene set was downregulated the most (Padj=1 × 10- 5 (AUC = 0.60). On the single gene level, CAPNS2, involved in extracellular matrix organization, was the top upregulated protein coding gene (Fold change = 48.5, P < 9 × 10- 24). The risk variant rs10757278 altered a binding site of the pathogen responsive transcription factor STAT1 (P = 5.8 × 10- 6). rs10757278-G allele reduced STAT1 binding 14.4% and rs10757278-A decreased luciferase activity in gingival fibroblasts 41.2% (P = 0.0056), corresponding with GTEx data. CDKN2B-AS1 represses collagen gene expression in gingival fibroblasts. Dysregulated collagen biosynthesis through allele-specific CDKN2B-AS1 expression in response to inflammatory factors may affect collagen synthesis, and in consequence tissue barrier and atherosclerotic plaque stability.
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Affiliation(s)
- Weiwei Shi
- Dept. of Periodontology, Oral Medicine and Oral Surgery, Institute for Dental and Craniofacial Sciences, Charité - University Medicine Berlin, Berlin, Germany
| | - Jiahui Song
- Dept. of Periodontology, Oral Medicine and Oral Surgery, Institute for Dental and Craniofacial Sciences, Charité - University Medicine Berlin, Berlin, Germany
| | - January Mikolaj Weiner
- Dept. of Periodontology, Oral Medicine and Oral Surgery, Institute for Dental and Craniofacial Sciences, Charité - University Medicine Berlin, Berlin, Germany
| | - Avneesh Chopra
- Dept. of Periodontology, Oral Medicine and Oral Surgery, Institute for Dental and Craniofacial Sciences, Charité - University Medicine Berlin, Berlin, Germany
| | - Henrik Dommisch
- Dept. of Periodontology, Oral Medicine and Oral Surgery, Institute for Dental and Craniofacial Sciences, Charité - University Medicine Berlin, Berlin, Germany
| | - Dieter Beule
- Core Unit Bioinformatics, Berlin Institute of Health at Charité, Berlin, Germany
| | - Arne S Schaefer
- Dept. of Periodontology, Oral Medicine and Oral Surgery, Institute for Dental and Craniofacial Sciences, Charité - University Medicine Berlin, Berlin, Germany.
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9
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Voorhies K, Young K, Hsu FC, Palmer ND, McDonald MLN, Lee S, Hahn G, Hecker J, Prokopenko D, Wu AC, Regan EA, DeMeo D, Kinney GL, Crapo JD, Cho MH, Silverman EK, Lange C, Budoff MJ, Hokanson JE, Lutz SM. Association of PHACTR1 with Coronary Artery Calcium Differs by Sex and Cigarette Smoking. J Cardiovasc Dev Dis 2024; 11:194. [PMID: 39057616 PMCID: PMC11276683 DOI: 10.3390/jcdd11070194] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2024] [Revised: 06/22/2024] [Accepted: 06/24/2024] [Indexed: 07/28/2024] Open
Abstract
Background: Coronary artery calcium (CAC) is a marker of subclinical atherosclerosis and is a complex heritable trait with both genetic and environmental risk factors, including sex and smoking. Methods: We performed genome-wide association (GWA) analyses for CAC among all participants and stratified by sex in the COPDGene study (n = 6144 participants of European ancestry and n = 2589 participants of African ancestry) with replication in the Diabetes Heart Study (DHS). We adjusted for age, sex, current smoking status, BMI, diabetes, self-reported high blood pressure, self-reported high cholesterol, and genetic ancestry (as summarized by principal components computed within each racial group). For the significant signals from the GWA analyses, we examined the single nucleotide polymorphism (SNP) by sex interactions, stratified by smoking status (current vs. former), and tested for a SNP by smoking status interaction on CAC. Results: We identified genome-wide significant associations for CAC in the chromosome 9p21 region [CDKN2B-AS1] among all COPDGene participants (p = 7.1 × 10-14) and among males (p = 1.0 × 10-9), but the signal was not genome-wide significant among females (p = 6.4 × 10-6). For the sex stratified GWA analyses among females, the chromosome 6p24 region [PHACTR1] had a genome-wide significant association (p = 4.4 × 10-8) with CAC, but this signal was not genome-wide significant among all COPDGene participants (p = 1.7 × 10-7) or males (p = 0.03). There was a significant interaction for the SNP rs9349379 in PHACTR1 with sex (p = 0.02), but the interaction was not significant for the SNP rs10757272 in CDKN2B-AS1 with sex (p = 0.21). In addition, PHACTR1 had a stronger association with CAC among current smokers (p = 6.2 × 10-7) than former smokers (p = 7.5 × 10-3) and the SNP by smoking status interaction was marginally significant (p = 0.03). CDKN2B-AS1 had a strong association with CAC among both former (p = 7.7 × 10-8) and current smokers (p = 1.7 × 10-7) and the SNP by smoking status interaction was not significant (p = 0.40). Conclusions: Among current and former smokers of European ancestry in the COPDGene study, we identified a genome-wide significant association in the chromosome 6p24 region [PHACTR1] with CAC among females, but not among males. This region had a significant SNP by sex and SNP by smoking interaction on CAC.
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Affiliation(s)
- Kirsten Voorhies
- Department of Population Medicine, Harvard Pilgrim Health Care Institute, Boston, MA 02115, USA
| | - Kendra Young
- Department of Epidemiology, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA
| | - Fang-Chi Hsu
- Department of Biostatistics and Data Science, Division of Public Health Sciences, Wake Forest University School of Medicine, Winston-Salem, NC 27101, USA
| | - Nicholette D. Palmer
- Department of Biochemistry, Wake Forest University School of Medicine, Winston-Salem, NC 27101, USA
| | - Merry-Lynn N. McDonald
- Division of Pulmonary, Allergy and Critical Care Medicine, Department of Medicine, University of Alabama at Birmingham, Birmingham, AL 35212, USA
- Department of Genetics, University of Alabama at Birmingham, Birmingham, AL 35233, USA
| | - Sanghun Lee
- Division of Medicine, Department of Medical Consilience, Graduate School, Dankook University, Yongin 16890, Republic of Korea
| | - Georg Hahn
- Brigham and Women’s Hospital, Division of Pharmacoepidemiology and Pharmacoeconomics, and Department of Medicine, Harvard Medical School, Boston, MA 02120, USA
| | - Julian Hecker
- Channing Division of Network Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA 02115, USA
| | - Dmitry Prokopenko
- Genetics and Aging Research Unit and the McCance Center for Brain Health, Department of Neurology, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Ann Chen Wu
- Department of Population Medicine, Harvard Pilgrim Health Care Institute, Boston, MA 02115, USA
| | | | - Dawn DeMeo
- Channing Division of Network Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA 02115, USA
- Division of Pulmonary and Critical Care Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Greg L. Kinney
- Department of Epidemiology, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA
| | - James D. Crapo
- Department of Medicine, National Jewish Health, Denver, CO 80206, USA
| | - Michael H. Cho
- Channing Division of Network Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA 02115, USA
- Division of Pulmonary and Critical Care Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Edwin K. Silverman
- Channing Division of Network Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA 02115, USA
- Division of Pulmonary and Critical Care Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Christoph Lange
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
| | - Matthew J. Budoff
- Lundquist Institute at Harbor-UCLA Medical Center, Torrance, CA 90502, USA
| | - John E. Hokanson
- Department of Epidemiology, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA
| | - Sharon M. Lutz
- Department of Population Medicine, Harvard Pilgrim Health Care Institute, Boston, MA 02115, USA
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
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10
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Pietruszyńska-Reszetarska A, Pietruszyński R, Irzmański R. The Significance of Genetically Determined Methylation and Folate Metabolism Disorders in the Pathogenesis of Coronary Artery Disease: A Target for New Therapies? Int J Mol Sci 2024; 25:6924. [PMID: 39000032 PMCID: PMC11241586 DOI: 10.3390/ijms25136924] [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: 05/18/2024] [Revised: 06/18/2024] [Accepted: 06/21/2024] [Indexed: 07/14/2024] Open
Abstract
Methylation is a biochemical process involving the addition of a methyl group (-CH3) to various chemical compounds. It plays a crucial role in maintaining the homeostasis of the endothelium, which lines the interior surface of blood vessels, and has been linked, among other conditions, to coronary artery disease (CAD). Despite significant progress in CAD diagnosis and treatment, intensive research continues into genotypic and phenotypic CAD biomarkers. This review explores the significance of the methylation pathway and folate metabolism in CAD pathogenesis, with a focus on endothelial dysfunction resulting from deficiency in the active form of folate (5-MTHF). We discuss emerging areas of research into CAD biomarkers and factors influencing the methylation process. By highlighting genetically determined methylation disorders, particularly the MTHFR polymorphism, we propose the potential use of the active form of folate (5-MTHF) as a novel CAD biomarker and personalized pharmaceutical for selected patient groups. Our aim is to improve the identification of individuals at high risk of CAD and enhance their prognosis.
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Affiliation(s)
| | - Robert Pietruszyński
- Cardiology Outpatient Clinic, Military Medical Academy Memorial Teaching Hospital of the Medical University of Lodz—Central Veterans’ Hospital, 90-549 Lodz, Poland;
| | - Robert Irzmański
- Department of Internal Medicine, Rehabilitation and Physical Medicine, Medical University of Lodz, 90-645 Lodz, Poland;
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11
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Mahmoud AK, Farina JM, Awad K, Ali NB, Pereyra M, Scalia IG, Abbas MT, Allam MN, Kamal MA, Abu Rmilah AA, Chao CJ, Timothy B, Alsidawi S, Lester SJ, Pollack PM, Alkhouli MA, Lee KS, Yang EH, Lee RW, Sweeney JP, Fortuin DF, Ayoub C, Arsanjani R. Lipoprotein(a) and Long-term In-stent Restenosis after Percutaneous Coronary Intervention. Eur J Prev Cardiol 2024:zwae212. [PMID: 38916491 DOI: 10.1093/eurjpc/zwae212] [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: 04/03/2024] [Revised: 06/17/2024] [Accepted: 06/20/2024] [Indexed: 06/26/2024]
Abstract
AIM Lipoprotein(a) [Lp(a)] has demonstrated its association with atherosclerosis and myocardial infarction. However, its role in the development of in-stent restenosis (ISR) after percutaneous coronary intervention (PCI) is not clearly established. The aim of this study is to investigate the association between Lp(a) and ISR. METHODS A retrospective study of adult patients who underwent successful PCI between January 2006 and December 2017 at the three Mayo Clinic sites and had a preprocedural Lp(a) measurement was conducted. Patients were divided into two groups according to the serum Lp(a) concentration (high Lp(a) ≥50 mg/dl and low Lp(a) <50 mg/dl). Univariable and multivariable analyses were performed to compare risk of ISR between patients with high Lp(a) versus those with low Lp(a). RESULTS A total of 1209 patients were included, with mean age 65.9 ±11.7 years and 71.8% were male. Median follow-up after baseline PCI was 8.8 (IQR 7.4) years. Restenosis was observed in 162 (13.4%) patients. Median serum levels of Lp(a) were significantly higher in patients affected by ISR versus non-affected cases: 27 (IQR 73.8) vs. 20 (IQR 57.5) mg/dL, p=0.008. The rate of ISR was significantly higher among patients with high Lp(a) versus patients with low Lp(a) values (17.0% vs 11.6%, p=0.010). High Lp(a) values were independently associated with ISR events (HR 1.67, 95%CI 1.18 to 2.37, p=0.004), and this association was more prominent after the first year following the PCI. CONCLUSION Lipoprotein(a) is an independent predictor for long-term in-stent restenosis and should be considered in the evaluation of patients undergoing PCI.
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Affiliation(s)
- Ahmed K Mahmoud
- Department of Cardiovascular Medicine, Mayo Clinic, Phoenix, Arizona, USA
| | - Juan M Farina
- Department of Cardiovascular Medicine, Mayo Clinic, Phoenix, Arizona, USA
| | - Kamal Awad
- Department of Cardiovascular Medicine, Mayo Clinic, Phoenix, Arizona, USA
| | - Nima Baba Ali
- Department of Cardiovascular Medicine, Mayo Clinic, Phoenix, Arizona, USA
| | - Milagros Pereyra
- Department of Cardiovascular Medicine, Mayo Clinic, Phoenix, Arizona, USA
| | - Isabel G Scalia
- Department of Cardiovascular Medicine, Mayo Clinic, Phoenix, Arizona, USA
| | | | - Mohamed N Allam
- Department of Cardiovascular Medicine, Mayo Clinic, Phoenix, Arizona, USA
| | - Moaz A Kamal
- Department of Cardiovascular Medicine, Mayo Clinic, Phoenix, Arizona, USA
| | - Anan A Abu Rmilah
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, Minnesota, USA
| | - Chieh-Ju Chao
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, Minnesota, USA
| | - Barry Timothy
- Department of Cardiovascular Medicine, Mayo Clinic, Phoenix, Arizona, USA
| | - Said Alsidawi
- Department of Cardiovascular Medicine, Mayo Clinic, Phoenix, Arizona, USA
| | - Steven J Lester
- Department of Cardiovascular Medicine, Mayo Clinic, Phoenix, Arizona, USA
| | - Peter M Pollack
- Department of Cardiovascular Medicine, Mayo Clinic, Jacksonville, Florida, USA
| | - Mohamed A Alkhouli
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, Minnesota, USA
| | - Kwan S Lee
- Department of Cardiovascular Medicine, Mayo Clinic, Phoenix, Arizona, USA
| | - Eric H Yang
- Department of Cardiovascular Medicine, Mayo Clinic, Phoenix, Arizona, USA
| | - Richard W Lee
- Department of Cardiovascular Medicine, Mayo Clinic, Phoenix, Arizona, USA
| | - John P Sweeney
- Department of Cardiovascular Medicine, Mayo Clinic, Phoenix, Arizona, USA
| | - David F Fortuin
- Department of Cardiovascular Medicine, Mayo Clinic, Phoenix, Arizona, USA
| | - Chadi Ayoub
- Department of Cardiovascular Medicine, Mayo Clinic, Phoenix, Arizona, USA
| | - Reza Arsanjani
- Department of Cardiovascular Medicine, Mayo Clinic, Phoenix, Arizona, USA
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12
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Mahsoub N, Almenshawy A, Taki Eldin AM, Abdel Hay NM, Youssef AR, El-Farahaty RM, El-Sayed K, Osman AM, Elhennawy ES. Association between Apo B, LDL-R and PCSK9 gene polymorphisms with coronary artery diseases in Egyptians. Mol Biol Rep 2024; 51:752. [PMID: 38874786 DOI: 10.1007/s11033-024-09607-1] [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: 01/25/2024] [Accepted: 05/02/2024] [Indexed: 06/15/2024]
Abstract
BACKGROUND Many studies have focused on the significance of lipid regulatory genes in the pathophysiology of Coronary artery disease (CAD). ApoB XbaI (rs693) and EcoRI (rs1042031) single nucleoid polymorphisms (SNPs) were investigated to detect whether they are risk factors for CAD. Till now, this association remains uncertain. SMARCA4 (rs1122608) SNP has directly related to dyslipidemia. Loss of function mutations (LOF) in PCSK9 result in a reduction in LDL cholesterol and are associated with protection from the development of CAD. METHODS This study was conducted on 54 CAD patients who were admitted at Internal Medicine Specialized Hospital (Cardiology Department) and 47 healthy controls. Peripheral blood samples were taken from both groups. DNA was extracted from EDTA-blood samples, then PCR- RFLP for ApoB XbaI (rs693) and EcoRI (rs1042031), SMARCA4 (rs1122608) and PCSK9 (rs505151) SNPs was done. RESULTS No statistically significant difference was found between patients and controls as regard EcoRI SNP. XbaI (rs693) X + X + genotype was significantly higher in control group (P = 0.0355). SMARCA4 (TT, GT + TT) genotypes, and T allele (P < 0.001); PCSK9 AG genotype and G allele (P = 0.027 and 0.032 respectively) were more frequent in CAD patients than controls. CONCLUSION SMARCA4 (rs1122608) and PCSK9 (rs505151) SNPs are significantly accompanying with the risk of CAD development in the Egyptian population. X + X + genotype appeared to have a protective effect against CAD. However, no observed association between EcoRI (rs1042031) and the risk of CAD development was found.
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Affiliation(s)
- Nancy Mahsoub
- Department of Clinical Pathology, Faculty of Medicine, Mansoura University, Mansoura, Egypt
| | - Ahmed Almenshawy
- Department of Clinical Pathology, Faculty of Medicine, Mansoura University, Mansoura, Egypt
| | | | - Nehal M Abdel Hay
- Department of Clinical Pathology, Faculty of Medicine, Mansoura University, Mansoura, Egypt
| | - Amany R Youssef
- Department of Clinical Pathology, Faculty of Medicine, Mansoura University, Mansoura, Egypt
| | - Reham M El-Farahaty
- Department of Clinical Pathology, Faculty of Medicine, Mansoura University, Mansoura, Egypt
| | - Kefaya El-Sayed
- Department of Clinical Pathology, Faculty of Medicine, Mansoura University, Mansoura, Egypt
| | - Adel Mohamad Osman
- Department of Cardiology, Faculty of Medicine, Mansoura University, Mansoura, Egypt
| | - Eman S Elhennawy
- Department of Clinical Pathology, Faculty of Medicine, Mansoura University, Mansoura, Egypt.
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13
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Haddaji A, Ouladlahsen A, Lkhider M, Tanouti IA, Abbadi I, Hilmi S, Bensghir R, Guessous F, Pineau P, Marhoum El Filali K, Ezzikouri S. Impact of IL-6 and IL-6r variants on HIV-1 susceptibility and progression to AIDS: a case-control study in a Moroccan population. NUCLEOSIDES, NUCLEOTIDES & NUCLEIC ACIDS 2024:1-20. [PMID: 38830242 DOI: 10.1080/15257770.2024.2359593] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/07/2023] [Accepted: 05/16/2024] [Indexed: 06/05/2024]
Abstract
Interleukin-6 (IL-6), a pro-inflammatory cytokine, is an important regulator of the inflammatory immune response. We aimed to assess the association of common single nucleotide polymorphisms (SNPs) in IL-6 (rs1800795 G > C, rs1800797 A > G) and interleukin-6 receptor (IL-6R) (rs2228145 A > C) genes with HIV-1 infection, AIDS progression, and response to treatment. In this case-control study involving 199 individuals living with HIV-1 and 200 HIV-uninfected controls, we conducted genotyping of IL-6/IL-6R SNPs using TaqMan real-time PCR assays. Soluble IL-6 levels were measured using ELISA. No associations were found between the investigated SNPs and HIV infection. However, a significant association was noted between the C-G and G-A haplotypes and susceptibility to HIV-1 infection. Additionally, a significant association was revealed between HIV-1 RNA viral loads and IL-6 SNP G > C in the post-treatment HIV group. Interestingly, we observed a significant association between the investigated SNPs and protection against progression to AIDS, namely the IL-6 G > A SNP in its recessive model and the IL-6R A > C SNP in its codominant and dominant models. Nevertheless, we found no significant differences between IL-6 levels and the different genotypes and alleles of the IL-6 gene either before or after combination antiretroviral therapy. IL-6 promoter haplotypes are associated with susceptibility to HIV-1 infection. Furthermore, IL-6 A > G and IL-6R A > C polymorphisms have been associated with protection against AIDS progression. Interestingly, the IL-6 G > C SNP may affect the response to treatment in people living with HIV-1.
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Affiliation(s)
- Asmaa Haddaji
- Virology Unit, Viral Hepatitis Laboratory, Institut Pasteur du Maroc, Casablanca, Morocco
- Laboratory of virology, oncology, biosciences, environment and new energies, Faculty of Sciences and Techniques of Mohammedia, Hassan II University of Casablanca, Casablanca, Morocco
| | - Ahd Ouladlahsen
- Faculté de médecine et de pharmacie, Université Hassan II, Casablanca, Morocco
- Service des maladies Infectieuses, CHU Ibn Rochd, Casablanca, Morocco
| | - Mustapha Lkhider
- Laboratory of virology, oncology, biosciences, environment and new energies, Faculty of Sciences and Techniques of Mohammedia, Hassan II University of Casablanca, Casablanca, Morocco
| | - Ikram-Allah Tanouti
- Virology Unit, Viral Hepatitis Laboratory, Institut Pasteur du Maroc, Casablanca, Morocco
| | - Islam Abbadi
- Virology Unit, Viral Hepatitis Laboratory, Institut Pasteur du Maroc, Casablanca, Morocco
| | - Soufiane Hilmi
- Virology Unit, Viral Hepatitis Laboratory, Institut Pasteur du Maroc, Casablanca, Morocco
| | - Rajaa Bensghir
- Service des maladies Infectieuses, CHU Ibn Rochd, Casablanca, Morocco
| | - Fadila Guessous
- Mohammed VI University of Health Sciences (UM6SS), Casablanca, Morocco
- Department of Microbiology, Immunology and Cancer Biology, School of Medicine, University of Virginia, Charlottesville, VA, USA
| | - Pascal Pineau
- Unité "Organisation Nucléaire et Oncogenèse", INSERM U993, Institut Pasteur, Paris, France
| | - Kamal Marhoum El Filali
- Faculté de médecine et de pharmacie, Université Hassan II, Casablanca, Morocco
- Service des maladies Infectieuses, CHU Ibn Rochd, Casablanca, Morocco
| | - Sayeh Ezzikouri
- Virology Unit, Viral Hepatitis Laboratory, Institut Pasteur du Maroc, Casablanca, Morocco
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14
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Malik R, Beaufort N, Li J, Tanaka K, Georgakis MK, He Y, Koido M, Terao C, Japan B, Anderson CD, Kamatani Y, Zand R, Dichgans M. Genetically proxied HTRA1 protease activity and circulating levels independently predict risk of ischemic stroke and coronary artery disease. NATURE CARDIOVASCULAR RESEARCH 2024; 3:701-713. [PMID: 39196222 DOI: 10.1038/s44161-024-00475-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/31/2023] [Accepted: 04/23/2024] [Indexed: 08/29/2024]
Abstract
Genetic variants in HTRA1 are associated with stroke risk. However, the mechanisms mediating this remain largely unknown, as does the full spectrum of phenotypes associated with genetic variation in HTRA1. Here we show that rare HTRA1 variants are linked to ischemic stroke in the UK Biobank and BioBank Japan. Integrating data from biochemical experiments, we next show that variants causing loss of protease function associated with ischemic stroke, coronary artery disease and skeletal traits in the UK Biobank and MyCode cohorts. Moreover, a common variant modulating circulating HTRA1 mRNA and protein levels enhances the risk of ischemic stroke and coronary artery disease while lowering the risk of migraine and macular dystrophy in genome-wide association study, UK Biobank, MyCode and BioBank Japan data. We found no interaction between proxied HTRA1 activity and levels. Our findings demonstrate the role of HTRA1 for cardiovascular diseases and identify two mechanisms as potential targets for therapeutic interventions.
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Affiliation(s)
- Rainer Malik
- Institute for Stroke and Dementia Research (ISD), University Hospital, Ludwig Maximilian University of Munich, Munich, Germany
| | - Nathalie Beaufort
- Institute for Stroke and Dementia Research (ISD), University Hospital, Ludwig Maximilian University of Munich, Munich, Germany
| | - Jiang Li
- Department of Molecular and Functional Genomics, Geisinger Health System, Danville, PA, USA
| | - Koki Tanaka
- Laboratory of Complex Trait Genomics, Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, University of Tokyo, Tokyo, Japan
| | - Marios K Georgakis
- Institute for Stroke and Dementia Research (ISD), University Hospital, Ludwig Maximilian University of Munich, Munich, Germany
| | - Yunye He
- Laboratory of Complex Trait Genomics, Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, University of Tokyo, Tokyo, Japan
| | - Masaru Koido
- Laboratory of Complex Trait Genomics, Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, University of Tokyo, Tokyo, Japan
- Laboratory for Statistical and Translational Genetics, RIKEN Center for Integrative Medical Sciences, Kanagawa, Japan
| | - Chikashi Terao
- Laboratory for Statistical and Translational Genetics, RIKEN Center for Integrative Medical Sciences, Kanagawa, Japan
| | - BioBank Japan
- Institute of Medical Science, University of Tokyo, Tokyo, Japan
| | - Christopher D Anderson
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute of Harvard and Massachusetts Institute of Technology, Boston, MA, USA
- McCance Center for Brain Health, Massachusetts General Hospital, Boston, MA, USA
- Department of Neurology, Brigham and Women's Hospital, Boston, MA, USA
| | - Yoichiro Kamatani
- Laboratory of Complex Trait Genomics, Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, University of Tokyo, Tokyo, Japan
| | - Ramin Zand
- Department of Neurology, Pennsylvania State University, Hershey, PA, USA
- Department of Neurology, Neuroscience Institute, Geisinger Health System, Danville, PA, USA
| | - Martin Dichgans
- Institute for Stroke and Dementia Research (ISD), University Hospital, Ludwig Maximilian University of Munich, Munich, Germany.
- German Center for Neurodegenerative Diseases (DZNE), Munich, Germany.
- German Center for Cardiovascular Research (DZHK), Munich, Germany.
- Munich Cluster for Systems Neurology (SyNergy), Munich, Germany.
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15
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Nicholls SJ. Therapeutic Potential of Lipoprotein(a) Inhibitors. Drugs 2024; 84:637-643. [PMID: 38849700 PMCID: PMC11196316 DOI: 10.1007/s40265-024-02046-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/05/2024] [Indexed: 06/09/2024]
Abstract
Increasing evidence has implicated lipoprotein(a) [Lp(a)] in the causality of atherosclerosis and calcific aortic stenosis. This has stimulated immense interest in developing novel approaches to integrating Lp(a) into the setting of cardiovascular prevention. Current guidelines advocate universal measurement of Lp(a) levels, with the potential to influence cardiovascular risk assessment and triage of higher-risk patients to use of more intensive preventive therapies. In parallel, considerable activity has been undertaken to develop novel therapeutics with the potential to achieve selective and substantial reductions in Lp(a) levels. Early studies of antisense oligonucleotides (e.g., mipomersen, pelacarsen), RNA interference (e.g., olpasiran, zerlasiran, lepodisiran) and small molecule inhibitors (e.g., muvalaplin) have demonstrated effective Lp(a) lowering and good tolerability. These agents are moving forward in clinical development, in order to determine whether Lp(a) lowering reduces cardiovascular risk. The results of these studies have the potential to transform our approach to the prevention of cardiovascular disease.
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Affiliation(s)
- Stephen J Nicholls
- Victorian Heart Institute, Monash University, 631 Blackburn Road, Clayton, Melbourne, VIC, 3168, Australia.
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16
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Shah PW, Reinberger T, Hashmi S, Aherrahrou Z, Erdmann J. MRAS in coronary artery disease-Unchartered territory. IUBMB Life 2024; 76:300-312. [PMID: 38251784 DOI: 10.1002/iub.2805] [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: 07/04/2023] [Accepted: 12/03/2023] [Indexed: 01/23/2024]
Abstract
Genome-wide association studies (GWAS) have identified coronary artery disease (CAD) susceptibility locus on chromosome 3q22.3. This locus contains a cluster of several genes that includes muscle rat sarcoma virus (MRAS). Common MRAS variants are also associated with CAD causing risk factors such as hypertension, dyslipidemia, obesity, and type II diabetes. The MRAS gene is an oncogene that encodes a membrane-bound small GTPase. It is involved in a variety of signaling pathways, regulating cell differentiation and cell survival (mitogen-activated protein kinase [MAPK]/extracellular signal-regulated kinase and phosphatidylinositol 3-kinase) as well as acute phase response signaling (tumor necrosis factor [TNF] and interleukin 6 [IL6] signaling). In this review, we will summarize the role of genetic MRAS variants in the etiology of CAD and its comorbidities with the focus on tissue distribution of MRAS isoforms, cell type/tissue specificity, and mode of action of single nucleotide variants in MRAS associated complex traits. Finally, we postulate that CAD risk variants in the MRAS locus are specific to smooth muscle cells and lead to higher levels of MRAS, particularly in arterial and cardiac tissue, resulting in MAPK-dependent tissue hypertrophy or hyperplasia.
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Affiliation(s)
- Pashmina Wiqar Shah
- Institute for Cardiogenetics, University of Lübeck, Lübeck, Germany
- DZHK (German Research Centre for Cardiovascular Research), Lübeck, Germany
- University Heart Center Lübeck, Lübeck, Germany
| | - Tobias Reinberger
- Institute for Cardiogenetics, University of Lübeck, Lübeck, Germany
- DZHK (German Research Centre for Cardiovascular Research), Lübeck, Germany
- University Heart Center Lübeck, Lübeck, Germany
| | - Satwat Hashmi
- Department of Biological and Biomedical Sciences, Aga Khan University, Karachi, Pakistan
| | - Zouhair Aherrahrou
- Institute for Cardiogenetics, University of Lübeck, Lübeck, Germany
- DZHK (German Research Centre for Cardiovascular Research), Lübeck, Germany
- University Heart Center Lübeck, Lübeck, Germany
| | - Jeanette Erdmann
- Institute for Cardiogenetics, University of Lübeck, Lübeck, Germany
- DZHK (German Research Centre for Cardiovascular Research), Lübeck, Germany
- University Heart Center Lübeck, Lübeck, Germany
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17
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Vernon ST, Brentnall S, Currie DJ, Peng C, Gray MP, Botta G, Mujwara D, Nicholls SJ, Grieve SM, Redfern J, Chow C, Levesque JF, Meikle PJ, Jennings G, Ademi Z, Wilson A, Figtree GA. Health economic analysis of polygenic risk score use in primary prevention of coronary artery disease - A system dynamics model. Am J Prev Cardiol 2024; 18:100672. [PMID: 38828126 PMCID: PMC11143886 DOI: 10.1016/j.ajpc.2024.100672] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2024] [Revised: 04/02/2024] [Accepted: 04/14/2024] [Indexed: 06/05/2024] Open
Abstract
Background Primary prevention programs utilising traditional risk scores fail to identify all individuals who suffer acute cardiovascular events. We aimed to model the impact and cost effectiveness of incorporating a Polygenic risk scores (PRS) into the cardiovascular disease CVD primary prevention program in Australia, using a whole-of-system model. Methods System dynamics models, encompassing acute and chronic CVD care in the Australian healthcare setting, assessing the cost-effectiveness of incorporating a CAD-PRS in the primary prevention setting. The time horizon was 10-years. Results Pragmatically incorporating a CAD-PRS in the Australian primary prevention setting in middle-aged individuals already attending a Heart Health Check (HHC) who are determined to be at low or moderate risk based on the 5-year Framingham risk score (FRS), with conservative assumptions regarding uptake of PRS, could have prevented 2, 052 deaths over 10-years, and resulted in 24, 085 QALYs gained at a cost of $19, 945 per QALY with a net benefit of $724 million. If all Australians overs the age of 35 years old had their FRS and PRS performed, and acted upon, 12, 374 deaths and 60, 284 acute coronary events would be prevented, with 183, 682 QALYs gained at a cost of $18, 531 per QALY, with a net benefit of $5, 780 million. Conclusions Incorporating a CAD-PRS in a contemporary primary prevention setting in Australia would result in substantial health and societal benefits and is cost-effective. The broader the uptake of CAD-PRS in the primary prevention setting in middle-aged Australians, the greater the impact and the more cost-effective the strategy.
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Affiliation(s)
- Stephen T. Vernon
- Cardiovascular Discovery Group, Kolling Institute of Medical Research, University of Sydney, Australia
- Department of Cardiology, Royal North Shore Hospital, Australia
- Northern Clinical School, Faculty of Medicine and Health, University of Sydney, Australia
| | | | | | - Cindy Peng
- Decision Analytics, The SAX Institute, Sydney, Australia
| | - Michael P. Gray
- Cardiovascular Discovery Group, Kolling Institute of Medical Research, University of Sydney, Australia
- Northern Clinical School, Faculty of Medicine and Health, University of Sydney, Australia
| | | | | | - Stephen J. Nicholls
- Monash Cardiovascular Research Centre, Monash University, Melbourne, Victoria, Australia
| | - Stuart M. Grieve
- Imaging and Phenotyping Laboratory, Charles Perkins Centre, University of Sydney, Sydney, NSW, Australia
- Sydney Medical School and School of Health Sciences, Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia
| | - Julie Redfern
- School of Health Sciences, Faculty of Medicine and Health, University of Sydney, Sydney, New South Wales, Australia
| | - Clara Chow
- Westmead Applied Research Centre (C.K.C.), University of Sydney, Australia
| | - Jean-Frederic Levesque
- NSW Health, Sydney, NSW, Australia
- Centre for Primary Health Care and Equity, University of New South Wales, Sydney, NSW, Australia
| | - Peter J. Meikle
- Baker Heart and Diabetes Institute, Melbourne, VIC, Australia
- Monash University, Melbourne, VIC, 3800, Australia
| | | | - Zanfina Ademi
- Centre for Medicine Use and Safety, Faculty of Pharmacy and Pharmaceutical Sciences, Monash University, Melbourne, Australia
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Andrew Wilson
- Menzies Centre for Health Policy and Economics, Faculty of Medicine and Health, School of Public Health, The University of Sydney, Sydney, Australia
| | - Gemma A. Figtree
- Cardiovascular Discovery Group, Kolling Institute of Medical Research, University of Sydney, Australia
- Department of Cardiology, Royal North Shore Hospital, Australia
- Northern Clinical School, Faculty of Medicine and Health, University of Sydney, Australia
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18
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Reyes-Soffer G, Yeang C, Michos ED, Boatwright W, Ballantyne CM. High lipoprotein(a): Actionable strategies for risk assessment and mitigation. Am J Prev Cardiol 2024; 18:100651. [PMID: 38646021 PMCID: PMC11031736 DOI: 10.1016/j.ajpc.2024.100651] [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: 12/08/2023] [Revised: 03/13/2024] [Accepted: 03/17/2024] [Indexed: 04/23/2024] Open
Abstract
High levels of lipoprotein(a) [Lp(a)] are causal for atherosclerotic cardiovascular disease (ASCVD). Lp(a) is the most prevalent inherited dyslipidemia and strongest genetic ASCVD risk factor. This risk persists in the presence of at target, guideline-recommended, LDL-C levels and adherence to lifestyle modifications. Epidemiological and genetic evidence supporting its causal role in ASCVD and calcific aortic stenosis continues to accumulate, although various facets regarding Lp(a) biology (genetics, pathophysiology, and expression across race/ethnic groups) are not yet fully understood. The evolving nature of clinical guidelines and consensus statements recommending universal measurements of Lp(a) and the scientific data supporting its role in multiple disease states reinforce the clinical merit to start population screening for Lp(a) now. There is a current gap in the implementation of recommendations for primary and secondary cardiovascular disease (CVD) prevention in those with high Lp(a), in part due to a lack of protocols for management strategies. Importantly, targeted apolipoprotein(a) [apo(a)]-lowering therapies that reduce Lp(a) levels in patients with high Lp(a) are in phase 3 clinical development. This review focuses on the identification and clinical management of patients with high Lp(a). Specifically, we highlight the clinical value of measuring Lp(a) and its use in determining Lp(a)-associated CVD risk by providing actionable guidance, based on scientific knowledge, that can be utilized now to mitigate risk caused by high Lp(a).
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Affiliation(s)
| | - Calvin Yeang
- Department of Medicine, UC San Diego Health, CA, USA
| | - Erin D Michos
- Division of Cardiology, Johns Hopkins University School of Medicine, MD, USA
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19
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Nielsen RV, Fuster V, Bundgaard H, Fuster JJ, Johri AM, Kofoed KF, Douglas PS, Diederichsen A, Shapiro MD, Nicholls SJ, Nordestgaard BG, Lindholt JS, MacRae C, Yuan C, Newby DE, Urbina EM, Bergström G, Ridderstråle M, Budoff MJ, Bøttcher M, Raitakari OT, Hansen TH, Näslund U, Sillesen H, Eldrup N, Ibanez B. Personalized Intervention Based on Early Detection of Atherosclerosis: JACC State-of-the-Art Review. J Am Coll Cardiol 2024; 83:2112-2127. [PMID: 38777513 DOI: 10.1016/j.jacc.2024.02.053] [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] [Received: 01/04/2024] [Revised: 02/12/2024] [Accepted: 02/22/2024] [Indexed: 05/25/2024]
Abstract
Cardiovascular disease (CVD) remains the leading cause of morbidity and mortality worldwide and challenges the capacity of health care systems globally. Atherosclerosis is the underlying pathophysiological entity in two-thirds of patients with CVD. When considering that atherosclerosis develops over decades, there is potentially great opportunity for prevention of associated events such as myocardial infarction and stroke. Subclinical atherosclerosis has been identified in its early stages in young individuals; however, there is no consensus on how to prevent progression to symptomatic disease. Given the growing burden of CVD, a paradigm shift is required-moving from late management of atherosclerotic CVD to earlier detection during the subclinical phase with the goal of potential cure or prevention of events. Studies must focus on how precision medicine using imaging and circulating biomarkers may identify atherosclerosis earlier and determine whether such a paradigm shift would lead to overall cost savings for global health.
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Affiliation(s)
- Rikke V Nielsen
- Department of Medical Science, Novo Nordisk Foundation, Hellerup, Denmark; Department of Cardiothoracic Anesthesiology, Rigshospitalet University Hospital Copenhagen, Copenhagen, Denmark.
| | - Valentin Fuster
- Centro Nacional de Investigaciones Cardiovasculares (CNIC), Madrid, Spain; Mount Sinai Fuster Heart Hospital, New York, New York, USA
| | - Henning Bundgaard
- Department of Cardiology, Rigshospitalet University Hospital Copenhagen, Copenhagen, Denmark; Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Jose J Fuster
- Centro Nacional de Investigaciones Cardiovasculares (CNIC), Madrid, Spain; CIBER en Enfermedades Cardiovasculares (CIBERCV), Madrid, Spain
| | - Amer M Johri
- Department of Medicine Queen's University, Kingston, Ontario, Canada
| | - Klaus F Kofoed
- Department of Cardiology, Rigshospitalet University Hospital Copenhagen, Copenhagen, Denmark; Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark; Department of Radiology, Rigshospitalet University Hospital Copenhagen, Copenhagen, Denmark
| | - Pamela S Douglas
- Duke University School of Medicine, Duke Clinical Research Institute, Durham, North Carolina, USA
| | - Axel Diederichsen
- Department of Cardiology, Odense University Hospital, Odense, Denmark
| | - Michael D Shapiro
- Center for Prevention of Cardiovascular Disease, Section on Cardiovascular Disease, Wake Forest University School of Medicine, Winston-Salem, North Carolina, USA
| | - Stephen J Nicholls
- Victorian Heart Institute, Monash University, Melbourne, Victoria, Australia
| | - Børge G Nordestgaard
- Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark; Department of Clinical Biochemistry and The Copenhagen General Population Study, Copenhagen University Hospital-Herlev and Gentofte, Herlev, Denmark. https://twitter.com/BNordestgaard
| | - Jes S Lindholt
- Department of Cardiothoracic and Vascular Surgery, Elite Research Centre of Individualised Treatment of Arterial Disease (CIMA), Odense University Hospital, University of Southern Denmark, Odense, Denmark
| | - Calum MacRae
- Harvard Medical School, Department of Medicine, Boston, Massachusetts, USA
| | - Chun Yuan
- Department of Radiology and Imaging Sciences, Spencer Fox Eccles School of Medicine, University of Utah, Salt Lake City, Utah, USA
| | - David E Newby
- Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, Scotland
| | - Elaine M Urbina
- Preventive Cardiology, Cincinnati Children's Hospital Medical Center and the University of Cincinnati, Cincinnati, Ohio, USA
| | - Göran Bergström
- Department of Molecular and Clinical Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg and Department of Clinical Physiology, Sahlgrenska University Hospital, Gothenburg, Sweden
| | | | - Matthew J Budoff
- Department of Medicine, Lundquist Institute at Harbor-UCLA, Torrance, California, USA
| | - Morten Bøttcher
- University Clinic for Cardiovascular Research, Department of Cardiology, Aarhus University/Gødstrup Hospital, Aarhus, Denmark
| | - Olli T Raitakari
- Centre for Population Health Research, Research Centre of Applied and Preventive Cardiovascular Medicine, InFLAMES Research Flagship, University of Turku, Turku, Finland; Department of Clinical Physiology and Nuclear Medicine, Turku University Hospital, Turku, Finland
| | - Thomas H Hansen
- Department of Cardiology, Rigshospitalet University Hospital Copenhagen, Copenhagen, Denmark
| | - Ulf Näslund
- Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden
| | - Henrik Sillesen
- Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Nikolaj Eldrup
- Department of Vascular Surgery, Rigshospitalet University Hospital Copenhagen, Copenhagen, Denmark
| | - Borja Ibanez
- Centro Nacional de Investigaciones Cardiovasculares (CNIC), Madrid, Spain; CIBER en Enfermedades Cardiovasculares (CIBERCV), Madrid, Spain; Cardiology Department, IIS-Fundación Jiménez Díaz University Hospital, Madrid, Spain.
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20
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Baumgarten N, Rumpf L, Kessler T, Schulz MH. A statistical approach for identifying single nucleotide variants that affect transcription factor binding. iScience 2024; 27:109765. [PMID: 38736546 PMCID: PMC11088338 DOI: 10.1016/j.isci.2024.109765] [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: 07/14/2023] [Revised: 01/30/2024] [Accepted: 04/15/2024] [Indexed: 05/14/2024] Open
Abstract
Non-coding variants located within regulatory elements may alter gene expression by modifying transcription factor (TF) binding sites, thereby leading to functional consequences. Different TF models are being used to assess the effect of DNA sequence variants, such as single nucleotide variants (SNVs). Often existing methods are slow and do not assess statistical significance of results. We investigated the distribution of absolute maximal differential TF binding scores for general computational models that affect TF binding. We find that a modified Laplace distribution can adequately approximate the empirical distributions. A benchmark on in vitro and in vivo datasets showed that our approach improves upon an existing method in terms of performance and speed. Applications on eQTLs and on a genome-wide association study illustrate the usefulness of our statistics by highlighting cell type-specific regulators and target genes. An implementation of our approach is freely available on GitHub and as bioconda package.
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Affiliation(s)
- Nina Baumgarten
- Institute of Cardiovascular Regeneration, Goethe University, 60590 Frankfurt am Main, Germany
- Institute for Computational Genomic Medicine, Goethe University, 60590 Frankfurt am Main, Germany
- Institute for Computer Science, Goethe University, 60590 Frankfurt am Main, Germany
- German Center for Cardiovascular Research, Partner Site Rhein-Main, 60590 Frankfurt am Main, Germany
| | - Laura Rumpf
- Institute of Cardiovascular Regeneration, Goethe University, 60590 Frankfurt am Main, Germany
- Institute for Computational Genomic Medicine, Goethe University, 60590 Frankfurt am Main, Germany
- Institute for Computer Science, Goethe University, 60590 Frankfurt am Main, Germany
- German Center for Cardiovascular Research, Partner Site Rhein-Main, 60590 Frankfurt am Main, Germany
| | - Thorsten Kessler
- German Heart Centre Munich, Department of Cardiology, School of Medicine and Health, Technical University of Munich, 80636 Munich, Germany
- German Centre for Cardiovascular Research, Partner Site Munich Heart Alliance, 80636 Munich, Germany
| | - Marcel H. Schulz
- Institute of Cardiovascular Regeneration, Goethe University, 60590 Frankfurt am Main, Germany
- Institute for Computational Genomic Medicine, Goethe University, 60590 Frankfurt am Main, Germany
- Institute for Computer Science, Goethe University, 60590 Frankfurt am Main, Germany
- German Center for Cardiovascular Research, Partner Site Rhein-Main, 60590 Frankfurt am Main, Germany
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21
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Manoharan A, Ballambattu VB, Palani R. Genetic architecture of preeclampsia. Clin Chim Acta 2024; 558:119656. [PMID: 38583550 DOI: 10.1016/j.cca.2024.119656] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2024] [Revised: 04/04/2024] [Accepted: 04/04/2024] [Indexed: 04/09/2024]
Affiliation(s)
- Aarthi Manoharan
- Department of Medical Biotechnology, Kirumampakkam, Puducherry 607403, India.
| | | | - Ramya Palani
- Department of Obstetrics and Gynecology, Aarupadai Veedu Medical College and Hospital, Vinayaka Mission's Research Foundation (DU), Kirumampakkam, Puducherry 607403, India
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22
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Rudman-Melnick V, Vanhoutte D, Stowers K, Sargent M, Adam M, Ma Q, Perl AKT, Miethke AG, Burg A, Shi T, Hildeman DA, Woodle ESS, Kofron JM, Devarajan P. Gucy1α1 specifically marks kidney, heart, lung and liver fibroblasts. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.05.15.594404. [PMID: 38798483 PMCID: PMC11118280 DOI: 10.1101/2024.05.15.594404] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/29/2024]
Abstract
Fibrosis is a common outcome of numerous pathologies, including chronic kidney disease (CKD), a progressive renal function deterioration. Current approaches to target activated fibroblasts, key effector contributors to fibrotic tissue remodeling, lack specificity. Here, we report Gucy1α1 as a specific kidney fibroblast marker. Gucy1α1 levels significantly increased over the course of two clinically relevant murine CKD models and directly correlated with established fibrosis markers. Immunofluorescent (IF) imaging showed that Gucy1α1 comprehensively labelled cortical and medullary quiescent and activated fibroblasts in the control kidney and throughout injury progression, respectively. Unlike traditionally used markers platelet derived growth factor receptor beta (Pdgfrβ) and vimentin (Vim), Gucy1α1 did not overlap with off-target populations such as podocytes. Notably, Gucy1α1 labelled kidney fibroblasts in both male and female mice. Furthermore, we observed elevated GUCY1α1 expression in the human fibrotic kidney and lung. Studies in the murine models of cardiac and liver fibrosis revealed Gucy1α1 elevation in activated Pdgfrβ-, Vim- and alpha smooth muscle actin (αSma)-expressing fibroblasts paralleling injury progression and resolution. Overall, we demonstrate Gucy1α1 as an exclusive fibroblast marker in both sexes. Due to its multiorgan translational potential, GUCY1α1 might provide a novel promising strategy to specifically target and mechanistically examine fibroblasts.
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23
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Bhatia HS, Becker RC, Leibundgut G, Patel M, Lacaze P, Tonkin A, Narula J, Tsimikas S. Lipoprotein(a), platelet function and cardiovascular disease. Nat Rev Cardiol 2024; 21:299-311. [PMID: 37938756 PMCID: PMC11216952 DOI: 10.1038/s41569-023-00947-2] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 10/10/2023] [Indexed: 11/09/2023]
Abstract
Lipoprotein(a) (Lp(a)) is associated with atherothrombosis through several mechanisms, including putative antifibrinolytic properties. However, genetic association studies have not demonstrated an association between high plasma levels of Lp(a) and the risk of venous thromboembolism, and studies in patients with highly elevated Lp(a) levels have shown that Lp(a) lowering does not modify the clotting properties of plasma ex vivo. Lp(a) can interact with several platelet receptors, providing biological plausibility for a pro-aggregatory effect. Observational clinical studies suggest that elevated plasma Lp(a) concentrations are associated with worse long-term outcomes in patients undergoing revascularization. Furthermore, in these patients, those with elevated plasma Lp(a) levels derive more benefit from prolonged dual antiplatelet therapy than those with normal Lp(a) levels. The ASPREE trial in healthy older individuals treated with aspirin showed a reduction in ischaemic events in those who had a single-nucleotide polymorphism in LPA that is associated with elevated Lp(a) levels in plasma, without an increase in bleeding events. In this Review, we re-examine the role of Lp(a) in the regulation of platelet function and suggest areas of research to define further the clinical relevance to cardiovascular disease of the observed associations between Lp(a) and platelet function.
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Affiliation(s)
- Harpreet S Bhatia
- Division of Cardiovascular Medicine, Sulpizio Cardiovascular Center, University of California San Diego, La Jolla, CA, USA
| | - Richard C Becker
- Heart, Lung and Vascular Institute, University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - Gregor Leibundgut
- Division of Cardiology, University Hospital of Basel, Basel, Switzerland
| | - Mitul Patel
- Division of Cardiovascular Medicine, Sulpizio Cardiovascular Center, University of California San Diego, La Jolla, CA, USA
| | - Paul Lacaze
- Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
| | - Andrew Tonkin
- Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
| | - Jagat Narula
- Mount Sinai Heart, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Sotirios Tsimikas
- Division of Cardiovascular Medicine, Sulpizio Cardiovascular Center, University of California San Diego, La Jolla, CA, USA.
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24
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Ansari S, Garmany Neely RD, Payne J, Cegla J. The current status of lipoprotein (a) measurement in clinical biochemistry laboratories in the UK: Results of a 2021 national survey. Ann Clin Biochem 2024; 61:195-203. [PMID: 37845044 PMCID: PMC11080397 DOI: 10.1177/00045632231210682] [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] [Accepted: 10/12/2023] [Indexed: 10/18/2023]
Abstract
BACKGROUND Lipoprotein(a) (Lp(a)) is now established as a causal risk factor for cardiovascular disease (CVD) and accurate laboratory measurement is of pivotal importance in reducing Lp(a) associated risk. The consensus statement by HEART UK in 2019 included recommendations to improve standardisation of clinical laboratory measurement and reporting of Lp(a). METHODS A 16 question, electronic audit survey was circulated to 190 accredited clinical biochemistry laboratories to assess the adoption of these recommendations in the UK. RESULTS Responses were received from 65 of 190 laboratories (34%). Only 5 (8%) did not offer Lp(a) measurement. Of those providing the test, 23% (n = 14) offered an in-house service (IHS), the remaining laboratories (77%; n = 46) used an external referral service (ERS). The majority (10 of 14 or 71%) of IHS laboratories responded with details of their method, stating whether it minimised sensitivity to the effect of Lp(a) isoform size and used calibrators certified for traceability to the WHO/IFCC reference material, however, only a minority ERS laboratories (13 of the 46 or 28%) were able to specify the method used by their referral laboratory. Of the laboratories who specified their reporting units, 6 of 10 IHS and 7 of 23 ERS laboratories reported in nmol/L. Among the 60 laboratories who responded, the HEART UK recommendations appear to have been adopted in full by only 3 IHS laboratories. CONCLUSIONS Further efforts are needed to standardise the measurement and reporting of Lp(a) so that results and interpretation are comparable across clinical biochemistry laboratories in the UK.
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Affiliation(s)
- Saleem Ansari
- Division of Diabetes, Endocrinology and Metabolism, Imperial College London, London, UK
- Lipids and Cardiovascular Risk Service, Department of Cardiology, Hammersmith Hospital, Imperial College Healthcare NHS Trust, London, UK
| | - Robert D. Garmany Neely
- Academic Health Science Network for the North East and North Cumbria, Newcastle Upon Tyne, UK
| | | | - Jaimini Cegla
- Division of Diabetes, Endocrinology and Metabolism, Imperial College London, London, UK
- Lipids and Cardiovascular Risk Service, Department of Cardiology, Hammersmith Hospital, Imperial College Healthcare NHS Trust, London, UK
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25
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D'Antona S, Porro D, Gallivanone F, Bertoli G. Characterization of cell cycle, inflammation, and oxidative stress signaling role in non-communicable diseases: Insights into genetic variants, microRNAs and pathways. Comput Biol Med 2024; 174:108346. [PMID: 38581999 DOI: 10.1016/j.compbiomed.2024.108346] [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: 10/09/2023] [Revised: 02/16/2024] [Accepted: 03/17/2024] [Indexed: 04/08/2024]
Abstract
Non-Communicable Diseases (NCDs) significantly impact global health, contributing to over 70% of premature deaths, as reported by the World Health Organization (WHO). These diseases have complex and multifactorial origins, involving genetic, epigenetic, environmental and lifestyle factors. While Genome-Wide Association Study (GWAS) is widely recognized as a valuable tool for identifying variants associated with complex phenotypes; the multifactorial nature of NCDs necessitates a more comprehensive exploration, encompassing not only the genetic but also the epigenetic aspect. For this purpose, we employed a bioinformatics-multiomics approach to examine the genetic and epigenetic characteristics of NCDs (i.e. colorectal cancer, coronary atherosclerosis, squamous cell lung cancer, psoriasis, type 2 diabetes, and multiple sclerosis), aiming to identify novel biomarkers for diagnosis and prognosis. Leveraging GWAS summary statistics, we pinpointed Single Nucleotide Polymorphisms (SNPs) independently associated with each NCD. Subsequently, we identified genes linked to cell cycle, inflammation and oxidative stress mechanisms, revealing shared genes across multiple diseases, suggesting common functional pathways. From an epigenetic perspective, we identified microRNAs (miRNAs) with regulatory functions targeting these genes of interest. Our findings underscore critical genetic pathways implicated in these diseases. In colorectal cancer, the dysregulation of the "Cytokine Signaling in Immune System" pathway, involving LAMA5 and SMAD7, regulated by Hsa-miR-21-5p, Hsa-miR-103a-3p, and Hsa-miR-195-5p, emerged as pivotal. In coronary atherosclerosis, the pathway associated with "binding of TCF/LEF:CTNNB1 to target gene promoters" displayed noteworthy implications, with the MYC factor controlled by Hsa-miR-16-5p as a potential regulatory factor. Squamous cell lung carcinoma analysis revealed significant pathways such as "PTK6 promotes HIF1A stabilization," regulated by Hsa-let-7b-5p. In psoriasis, the "Endosomal/Vacuolar pathway," involving HLA-C and Hsa-miR-148a-3p and Hsa-miR-148b-3p, was identified as crucial. Type 2 Diabetes implicated the "Regulation of TP53 Expression" pathway, controlled by Hsa-miR-106a-5p and Hsa-miR-106b-5p. In conclusion, our study elucidates the genetic framework and molecular mechanisms underlying NCDs, offering crucial insights into potential genetic/epigenetic biomarkers for diagnosis and prognosis. The specificity of pathways and related miRNAs in different pathologies highlights promising candidates for further clinical validation, with the potential to advance personalized treatments and alleviate the global burden of NCDs.
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Affiliation(s)
- Salvatore D'Antona
- Institute of Bioimaging and Molecular Physiology, National Research Council, Via F.lli Cervi 93, 20054, Milan, Italy
| | - Danilo Porro
- Institute of Bioimaging and Molecular Physiology, National Research Council, Via F.lli Cervi 93, 20054, Milan, Italy; National Biodiversity Future Center (NBFC), Palermo, Italy
| | - Francesca Gallivanone
- Institute of Bioimaging and Molecular Physiology, National Research Council, Via F.lli Cervi 93, 20054, Milan, Italy
| | - Gloria Bertoli
- Institute of Bioimaging and Molecular Physiology, National Research Council, Via F.lli Cervi 93, 20054, Milan, Italy; National Biodiversity Future Center (NBFC), Palermo, Italy.
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26
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Sun Z, Yun Z, Lin J, Sun X, Wang Q, Duan J, Li C, Zhang X, Xu S, Wang Z, Xiong X, Yao K. Comprehensive mendelian randomization analysis of plasma proteomics to identify new therapeutic targets for the treatment of coronary heart disease and myocardial infarction. J Transl Med 2024; 22:404. [PMID: 38689297 PMCID: PMC11061979 DOI: 10.1186/s12967-024-05178-8] [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: 02/25/2024] [Accepted: 04/05/2024] [Indexed: 05/02/2024] Open
Abstract
BACKGROUND Ischemic heart disease is one of the leading causes of mortality worldwide, and thus calls for development of more effective therapeutic strategies. This study aimed to identify potential therapeutic targets for coronary heart disease (CHD) and myocardial infarction (MI) by investigating the causal relationship between plasma proteins and these conditions. METHODS A two-sample Mendelian randomization (MR) study was performed to evaluate more than 1600 plasma proteins for their causal associations with CHD and MI. The MR findings were further confirmed through Bayesian colocalization, Summary-data-based Mendelian Randomization (SMR), and Transcriptome-Wide Association Studies (TWAS) analyses. Further analyses, including enrichment analysis, single-cell analysis, MR analysis of cardiovascular risk factors, phenome-wide Mendelian Randomization (Phe-MR), and protein-protein interaction (PPI) network construction were conducted to verify the roles of selected causal proteins. RESULTS Thirteen proteins were causally associated with CHD, seven of which were also causal for MI. Among them, FES and PCSK9 were causal proteins for both diseases as determined by several analytical methods. PCSK9 was a risk factor of CHD (OR = 1.25, 95% CI: 1.13-1.38, P = 7.47E-06) and MI (OR = 1.36, 95% CI: 1.21-1.54, P = 2.30E-07), whereas FES was protective against CHD (OR = 0.68, 95% CI: 0.59-0.79, P = 6.40E-07) and MI (OR = 0.65, 95% CI: 0.54-0.77, P = 5.38E-07). Further validation through enrichment and single-cell analysis confirmed the causal effects of these proteins. Moreover, MR analysis of cardiovascular risk factors, Phe-MR, and PPI network provided insights into the potential drug development based on the proteins. CONCLUSIONS This study investigated the causal pathways associated with CHD and MI, highlighting the protective and risk roles of FES and PCSK9, respectively. FES. Specifically, the results showed that these proteins are promising therapeutic targets for future drug development.
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Affiliation(s)
- Ziyi Sun
- Department of Cardiovascular, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, 10053, China
- Graduate School, Beijing University of Chinese Medicine, Beijing, 10029, China
| | - Zhangjun Yun
- Graduate School, Beijing University of Chinese Medicine, Beijing, 10029, China
- Department of Oncology and Hematology, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, 10070, China
| | - Jianguo Lin
- Department of Cardiovascular, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, 10053, China
- Graduate School, China Academy of Chinese Medical Sciences, Beijing, 10070, China
| | - Xiaoning Sun
- Department of Cardiovascular, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, 10053, China
- Graduate School, China Academy of Chinese Medical Sciences, Beijing, 10070, China
| | - Qingqing Wang
- Department of Cardiovascular, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, 10053, China
| | - Jinlong Duan
- Department of Andrology, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, 10053, China
| | - Cheng Li
- Eye Hospital, China Academy of Chinese Medical Sciences, Beijing, 10040, China
| | - Xiaoxiao Zhang
- Department of Cardiovascular, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, 10053, China
- Graduate School, China Academy of Chinese Medical Sciences, Beijing, 10070, China
| | - Siyu Xu
- Department of Cardiovascular, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, 10053, China
- Graduate School, Beijing University of Chinese Medicine, Beijing, 10029, China
| | - Zeqi Wang
- School of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing, 10070, China
| | - Xingjiang Xiong
- Department of Cardiovascular, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, 10053, China.
| | - Kuiwu Yao
- Department of Cardiovascular, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, 10053, China.
- Eye Hospital, China Academy of Chinese Medical Sciences, Beijing, 10040, China.
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27
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Svensson T, Svensson AK, Kitlinski M, Engström G, Nilsson J, Orho-Melander M, Nilsson PM, Melander O. Very short sleep duration reveals a proteomic fingerprint that is selectively associated with incident diabetes mellitus but not with incident coronary heart disease: a cohort study. BMC Med 2024; 22:173. [PMID: 38649900 PMCID: PMC11035142 DOI: 10.1186/s12916-024-03392-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/28/2023] [Accepted: 04/15/2024] [Indexed: 04/25/2024] Open
Abstract
BACKGROUND The molecular pathways linking short and long sleep duration with incident diabetes mellitus (iDM) and incident coronary heart disease (iCHD) are not known. We aimed to identify circulating protein patterns associated with sleep duration and test their impact on incident cardiometabolic disease. METHODS We assessed sleep duration and measured 78 plasma proteins among 3336 participants aged 46-68 years, free from DM and CHD at baseline, and identified cases of iDM and iCHD using national registers. Incident events occurring in the first 3 years of follow-up were excluded from analyses. Tenfold cross-fit partialing-out lasso logistic regression adjusted for age and sex was used to identify proteins that significantly predicted sleep duration quintiles when compared with the referent quintile 3 (Q3). Predictive proteins were weighted and combined into proteomic scores (PS) for sleep duration Q1, Q2, Q4, and Q5. Combinations of PS were included in a linear regression model to identify the best predictors of habitual sleep duration. Cox proportional hazards regression models with sleep duration quintiles and sleep-predictive PS as the main exposures were related to iDM and iCHD after adjustment for known covariates. RESULTS Sixteen unique proteomic markers, predominantly reflecting inflammation and apoptosis, predicted sleep duration quintiles. The combination of PSQ1 and PSQ5 best predicted sleep duration. Mean follow-up times for iDM (n = 522) and iCHD (n = 411) were 21.8 and 22.4 years, respectively. Compared with sleep duration Q3, all sleep duration quintiles were positively and significantly associated with iDM. Only sleep duration Q1 was positively and significantly associated with iCHD. Inclusion of PSQ1 and PSQ5 abrogated the association between sleep duration Q1 and iDM. Moreover, PSQ1 was significantly associated with iDM (HR = 1.27, 95% CI: 1.06-1.53). PSQ1 and PSQ5 were not associated with iCHD and did not markedly attenuate the association between sleep duration Q1 with iCHD. CONCLUSIONS We here identify plasma proteomic fingerprints of sleep duration and suggest that PSQ1 could explain the association between very short sleep duration and incident DM.
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Affiliation(s)
- Thomas Svensson
- Department of Clinical Sciences, Lund University, Skåne University Hospital, CRC, Jan Waldenströms Gata 35, 20502, Malmö, Sweden.
- Precision Health, Department of Bioengineering, Graduate School of Engineering, the University of Tokyo, 7-3-1 Hongo, Bunkyo-Ku, Tokyo, 113-8655, Japan.
- Graduate School of Health Innovation, Kanagawa University of Human Services, Kawasaki-Ku, Kawasaki-Shi, Kanagawa, Japan.
| | - Akiko Kishi Svensson
- Department of Clinical Sciences, Lund University, Skåne University Hospital, CRC, Jan Waldenströms Gata 35, 20502, Malmö, Sweden
- Precision Health, Department of Bioengineering, Graduate School of Engineering, the University of Tokyo, 7-3-1 Hongo, Bunkyo-Ku, Tokyo, 113-8655, Japan
- Department of Diabetes and Metabolic Diseases, the University of Tokyo, 7-3-1 Hongo, Bunkyo-Ku, Tokyo, 113-0033, Japan
| | | | - Gunnar Engström
- Department of Clinical Sciences, Lund University, Skåne University Hospital, CRC, Jan Waldenströms Gata 35, 20502, Malmö, Sweden
| | - Jan Nilsson
- Department of Clinical Sciences, Lund University, Skåne University Hospital, CRC, Jan Waldenströms Gata 35, 20502, Malmö, Sweden
| | - Marju Orho-Melander
- Department of Clinical Sciences, Lund University, Skåne University Hospital, CRC, Jan Waldenströms Gata 35, 20502, Malmö, Sweden
| | - Peter M Nilsson
- Department of Clinical Sciences, Lund University, Skåne University Hospital, CRC, Jan Waldenströms Gata 35, 20502, Malmö, Sweden
| | - Olle Melander
- Department of Clinical Sciences, Lund University, Skåne University Hospital, CRC, Jan Waldenströms Gata 35, 20502, Malmö, Sweden
- Department of Internal Medicine, Skåne University Hospital, Malmö, Sweden
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Wong ND, Fan W, Hu X, Ballantyne C, Hoodgeveen RC, Tsai MY, Browne A, Budoff MJ. Lipoprotein(a) and Long-Term Cardiovascular Risk in a Multi-Ethnic Pooled Prospective Cohort. J Am Coll Cardiol 2024; 83:1511-1525. [PMID: 38631771 DOI: 10.1016/j.jacc.2024.02.031] [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] [Received: 12/22/2023] [Revised: 02/02/2024] [Accepted: 02/21/2024] [Indexed: 04/19/2024]
Abstract
BACKGROUND Lipoprotein(a) (Lp[a]) is a causal genetic risk factor for atherosclerotic cardiovascular disease (ASCVD). There are limited long-term follow-up data from large U.S. population cohorts. OBJECTIVES This study examined the relationship of Lp(a) with ASCVD outcomes in a large, pooled, multi-ethnic U.S. COHORT METHODS The study included data on Lp(a) and ASCVD outcomes from 5 U.S. PROSPECTIVE STUDIES MESA (Multi-Ethnic Study of Atherosclerosis), CARDIA (Coronary Artery Risk Development in Young Adults), JHS (Jackson Heart Study), FHS-OS (Framingham Heart Study-Offspring), and ARIC (Atherosclerosis Risk In Communities). Lp(a) levels were classified on the basis of cohort-specific percentiles. Multivariable Cox regression related Lp(a) with composite incident ASCVD events by risk group and diabetes status. RESULTS The study included 27,756 persons without previous ASCVD who were aged 20 to 79 years, including 55.0% women, 35.6% Black participants, and 7.6% patients with diabetes, with mean follow-up of 21.1 years. Compared with Lp(a) levels <50th percentile, Lp(a) levels in the 50th to <75th, 75th to <90th, and ≥90th percentiles had adjusted HRs of 1.06 (95% CI: 0.99-1.14), 1.18 (95% CI: 1.09-1.28), and 1.46 (95% CI: 1.33-1.59), respectively for ASCVD events. Elevated Lp(a) predicted incident ASCVD events similarly by risk group, sex, and race or ethnic groups, but more strongly in patients with vs without diabetes (interaction P = 0.0056), with HRs for Lp(a) levels ≥90th percentile of 1.92 (95% CI: 1.50-2.45) and 1.41 (95% CI: 1.28-1.55), respectively. Lp(a) also individually predicted myocardial infarction, revascularization, stroke, and coronary heart disease death, but not total mortality. CONCLUSIONS The study shows, in a large U.S. pooled cohort, that higher Lp(a) levels are associated with an increased ASCVD risk, including in patients with diabetes.
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Affiliation(s)
- Nathan D Wong
- Division of Cardiology, University of California-Irvine, Irvine, California, USA; Department of Epidemiology and Biostatistics, University of California-Irvine, Irvine, California, USA.
| | - Wenjun Fan
- Division of Cardiology, University of California-Irvine, Irvine, California, USA; Department of Epidemiology and Biostatistics, University of California-Irvine, Irvine, California, USA
| | - Xingdi Hu
- Novartis Pharmaceuticals Corporation, East Hanover, New Jersey, USA
| | - Christie Ballantyne
- Division of Cardiology, Baylor College of Medicine and the Texas Heart Institute, Houston, Texas, USA
| | - Ron C Hoodgeveen
- Department of Medicine, Baylor College of Medicine, Houston, Texas, USA
| | - Michael Y Tsai
- Department of Laboratory Medicine and Pathology, University of Minnesota Medical School, Minneapolis, Minnesota, USA
| | - Auris Browne
- Novartis Pharmaceuticals Corporation, East Hanover, New Jersey, USA
| | - Matthew J Budoff
- Division of Cardiology, Lundquist Institute, Harbor-UCLA Medical Center, Torrance, California, USA
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29
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Alireza Z, Maleeha M, Kaikkonen M, Fortino V. Enhancing prediction accuracy of coronary artery disease through machine learning-driven genomic variant selection. J Transl Med 2024; 22:356. [PMID: 38627847 PMCID: PMC11020205 DOI: 10.1186/s12967-024-05090-1] [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: 09/12/2023] [Accepted: 03/14/2024] [Indexed: 04/19/2024] Open
Abstract
Machine learning (ML) methods are increasingly becoming crucial in genome-wide association studies for identifying key genetic variants or SNPs that statistical methods might overlook. Statistical methods predominantly identify SNPs with notable effect sizes by conducting association tests on individual genetic variants, one at a time, to determine their relationship with the target phenotype. These genetic variants are then used to create polygenic risk scores (PRSs), estimating an individual's genetic risk for complex diseases like cancer or cardiovascular disorders. Unlike traditional methods, ML algorithms can identify groups of low-risk genetic variants that improve prediction accuracy when combined in a mathematical model. However, the application of ML strategies requires addressing the feature selection challenge to prevent overfitting. Moreover, ensuring the ML model depends on a concise set of genomic variants enhances its clinical applicability, where testing is feasible for only a limited number of SNPs. In this study, we introduce a robust pipeline that applies ML algorithms in combination with feature selection (ML-FS algorithms), aimed at identifying the most significant genomic variants associated with the coronary artery disease (CAD) phenotype. The proposed computational approach was tested on individuals from the UK Biobank, differentiating between CAD and non-CAD individuals within this extensive cohort, and benchmarked against standard PRS-based methodologies like LDpred2 and Lassosum. Our strategy incorporates cross-validation to ensure a more robust evaluation of genomic variant-based prediction models. This method is commonly applied in machine learning strategies but has often been neglected in previous studies assessing the predictive performance of polygenic risk scores. Our results demonstrate that the ML-FS algorithm can identify panels with as few as 50 genetic markers that can achieve approximately 80% accuracy when used in combination with known risk factors. The modest increase in accuracy over PRS performances is noteworthy, especially considering that PRS models incorporate a substantially larger number of genetic variants. This extensive variant selection can pose practical challenges in clinical settings. Additionally, the proposed approach revealed novel CAD-genetic variant associations.
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Affiliation(s)
- Z Alireza
- Institute of Biomedicine, University of Eastern Finland, 70210, Kuopio, Finland
| | - M Maleeha
- Institute of Biomedicine, University of Eastern Finland, 70210, Kuopio, Finland
| | - M Kaikkonen
- A.I.Virtanen Institute, University of Eastern Finland, 70210, Kuopio, Finland
| | - V Fortino
- Institute of Biomedicine, University of Eastern Finland, 70210, Kuopio, Finland.
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30
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Xiaotian M, Guo R, Zhang C, Yan J, Zhu G, Wu W, Yan H, Hong L. An innovative approach for assessing coronary artery lesions: Fusion of wrist pulse and photoplethysmography using a multi-sensor pulse diagnostic device. Heliyon 2024; 10:e28652. [PMID: 38633637 PMCID: PMC11021889 DOI: 10.1016/j.heliyon.2024.e28652] [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: 08/25/2023] [Revised: 03/20/2024] [Accepted: 03/21/2024] [Indexed: 04/19/2024] Open
Abstract
Coronary heart disease (CHD) is a leading cause of mortality globally and poses a significant threat to public health. Coronary angiography (CAG) is a gold standard for the clinical diagnosis of CHD, but its invasiveness restricts its widespread application. In this study, we utilized a pulse diagnostic device equipped with pressure and photoelectric sensors to synchronously and non-invasively capture wrist pressure pulse waves and fingertip photoplethysmography (FPPG) of patients undergoing CAG. The extracted features were utilized in constructing random forest-based models to assessing the severity of coronary artery lesions. Notably, Model 3, incorporating both wrist pulse and FPPG features, surpassed Model 1 (solely utilizing wrist pulse features) and Model 2 (solely utilizing FPPG features). Model3 achieved an Accuracy, Precision, Recall, and F1-score of 78.79%, 78.69%, 78.79%, and 78.70%, respectively. Compared to Model1 and Model2, Model 3 exhibited improvements by 4.55%, 5.25%, 4.55%, and 5.12%, and 6.06%, 6.58%, 6.06%, and 6.54% respectively. This fusion of wrist pulse and FPPG features in Model 3 highlights the advantages of multi-source information fusion for model optimization. Additionally, this research provides invaluable insights into the novel development of diagnostic devices imbued with TCM principles and their potential in managing cardiovascular diseases.
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Affiliation(s)
- M.A. Xiaotian
- School of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, China
| | - Rui Guo
- School of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, China
| | - Chunke Zhang
- School of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, China
| | - Jianjun Yan
- Institute of Intelligent Perception and Diagnosis, School of Mechanical and Power Engineering, East China University of Science. and Technology, Shanghai, 200237, China
| | - Guangyao Zhu
- Institute of Intelligent Perception and Diagnosis, School of Mechanical and Power Engineering, East China University of Science. and Technology, Shanghai, 200237, China
| | - Wenjie Wu
- School of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, China
| | - Haixia Yan
- School of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, China
| | - Leixin Hong
- School of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, China
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31
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Jiang X, Luo Y, Li Z, Zhang H, Xu Z, Wang D. Identification of diagnostic biomarkers and immune cell infiltration in coronary artery disease by machine learning, nomogram, and molecular docking. Front Immunol 2024; 15:1368904. [PMID: 38629070 PMCID: PMC11018948 DOI: 10.3389/fimmu.2024.1368904] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2024] [Accepted: 03/14/2024] [Indexed: 04/19/2024] Open
Abstract
Background Coronary artery disease (CAD) is still a lethal disease worldwide. This study aims to identify clinically relevant diagnostic biomarker in CAD and explore the potential medications on CAD. Methods GSE42148, GSE180081, and GSE12288 were downloaded as the training and validation cohorts to identify the candidate genes by constructing the weighted gene co-expression network analysis. Functional enrichment analysis was utilized to determine the functional roles of these genes. Machine learning algorithms determined the candidate biomarkers. Hub genes were then selected and validated by nomogram and the receiver operating curve. Using CIBERSORTx, the hub genes were further discovered in relation to immune cell infiltrability, and molecules associated with immune active families were analyzed by correlation analysis. Drug screening and molecular docking were used to determine medications that target the four genes. Results There were 191 and 230 key genes respectively identified by the weighted gene co-expression network analysis in two modules. A total of 421 key genes found enriched pathways by functional enrichment analysis. Candidate immune-related genes were then screened and identified by the random forest model and the eXtreme Gradient Boosting algorithm. Finally, four hub genes, namely, CSF3R, EED, HSPA1B, and IL17RA, were obtained and used to establish the nomogram model. The receiver operating curve, the area under curve, and the calibration curve were all used to validate the accuracy and usefulness of the diagnostic model. Immune cell infiltrating was examined, and CAD patients were then divided into high- and low-expression groups for further gene set enrichment analysis. Through targeting the hub genes, we also found potential drugs for anti-CAD treatment by using the molecular docking method. Conclusions CSF3R, EED, HSPA1B, and IL17RA are potential diagnostic biomarkers for CAD. CAD pathogenesis is greatly influenced by patterns of immune cell infiltration. Promising drugs offers new prospects for the development of CAD therapy.
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Affiliation(s)
- Xinyi Jiang
- Department of Cardio-Thoracic surgery, Nanjing Drum Tower Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Peking Union Medical College Graduate School, Nanjing, China
- Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
- Department of Cardio-Thoracic Surgery, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, China
| | - Yuanxi Luo
- Department of Cardio-Thoracic surgery, Nanjing Drum Tower Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Peking Union Medical College Graduate School, Nanjing, China
- Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
- Department of Cardio-Thoracic Surgery, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, China
| | - Zeshi Li
- Department of Cardio-Thoracic surgery, Nanjing Drum Tower Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Peking Union Medical College Graduate School, Nanjing, China
- Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
- Department of Cardio-Thoracic Surgery, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, China
| | - He Zhang
- Department of Cardio-Thoracic surgery, Nanjing Drum Tower Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Peking Union Medical College Graduate School, Nanjing, China
- Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
- Department of Cardio-Thoracic Surgery, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, China
| | - Zhenjun Xu
- Department of Cardio-Thoracic Surgery, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, China
| | - Dongjin Wang
- Department of Cardio-Thoracic surgery, Nanjing Drum Tower Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Peking Union Medical College Graduate School, Nanjing, China
- Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
- Department of Cardio-Thoracic Surgery, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, China
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32
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Dang Z, Li H, Xue S, Shao B, Ning Y, Su G, Zhang F, Yu W, Leng S. Histone deacetylase 9-mediated phenotypic transformation of vascular smooth muscle cells is a potential target for treating aortic aneurysm/dissection. Biomed Pharmacother 2024; 173:116396. [PMID: 38460370 DOI: 10.1016/j.biopha.2024.116396] [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: 11/19/2023] [Revised: 02/29/2024] [Accepted: 03/06/2024] [Indexed: 03/11/2024] Open
Abstract
Aortic aneurysm/dissection (AAD) is a serious cardiovascular condition characterized by rapid onset and high mortality rates. Currently, no effective drug treatment options are known for AAD. AAD pathogenesis is associated with the phenotypic transformation and abnormal proliferation of vascular smooth muscle cells (VSMCs). However, endogenous factors that contribute to AAD progression remain unclear. We aimed to investigate the role of histone deacetylase 9 (HDAC9) in AAD pathogenesis. HDAC9 expression was considerably increased in human thoracic aortic dissection specimens. Using RNA-sequencing (RNA-seq) and chromatin immunoprecipitation, we demonstrated that HDAC9 transcriptionally inhibited the expression of superoxide dismutase 2 and insulin-like growth factor-binding protein-3, which are critically involved in various signaling pathways. Furthermore, HDAC9 triggered the transformation of VSMCs from a systolic to synthetic phenotype, increasing their proliferation and migration abilities and suppressing their apoptosis. Consistent with these results, in vivo experiments revealed that TMP195, a pharmacological inhibitor of HDAC9, suppressed the formation of the β-aminopropionitrile-induced AAD phenotype in mice. Our findings indicate that HDAC9 may be a novel endogenous risk factor that promotes the onset of AAD by mediating the phenotypic transformation of VSMCs. Therefore, HDAC9 may serve as a potential therapeutic target for drug-based AAD treatment. Furthermore, TMP195 holds potential as a therapeutic agent for AAD treatment.
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Affiliation(s)
- Zhiqiao Dang
- Department of Cardiac Surgery, Central Hospital Affiliated to Shandong First Medical University, Jinan, Shandong 250013, China
| | - Haijie Li
- Department of Cardiac Surgery, Central Hospital Affiliated to Shandong First Medical University, Jinan, Shandong 250013, China
| | - Shishan Xue
- Research Center of Translational Medicine, Central Hospital Affiliated to Shandong First Medical University, Jinan, Shandong 250013, China
| | - Baowei Shao
- Department of Cardiac Surgery, Central Hospital Affiliated to Shandong First Medical University, Jinan, Shandong 250013, China
| | - Yansong Ning
- Department of Cardiac Surgery, Central Hospital Affiliated to Shandong First Medical University, Jinan, Shandong 250013, China
| | - Guohai Su
- Research Center of Translational Medicine, Central Hospital Affiliated to Shandong First Medical University, Jinan, Shandong 250013, China
| | - Fengquan Zhang
- Department of Cardiac Surgery, Central Hospital Affiliated to Shandong First Medical University, Jinan, Shandong 250013, China.
| | - Wenqian Yu
- Department of Cardiac Surgery, Central Hospital Affiliated to Shandong First Medical University, Jinan, Shandong 250013, China; Research Center of Translational Medicine, Central Hospital Affiliated to Shandong First Medical University, Jinan, Shandong 250013, China.
| | - Shuai Leng
- Department of Cardiac Surgery, Central Hospital Affiliated to Shandong First Medical University, Jinan, Shandong 250013, China; Research Center of Translational Medicine, Central Hospital Affiliated to Shandong First Medical University, Jinan, Shandong 250013, China.
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33
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Pepin ME, Gupta RM. The Role of Endothelial Cells in Atherosclerosis: Insights from Genetic Association Studies. THE AMERICAN JOURNAL OF PATHOLOGY 2024; 194:499-509. [PMID: 37827214 PMCID: PMC10988759 DOI: 10.1016/j.ajpath.2023.09.012] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/19/2023] [Revised: 08/21/2023] [Accepted: 09/01/2023] [Indexed: 10/14/2023]
Abstract
Endothelial cells (ECs) mediate several biological functions that are relevant to atherosclerosis and coronary artery disease (CAD), regulating an array of vital processes including vascular tone, wound healing, reactive oxygen species, shear stress response, and inflammation. Although which of these functions is linked causally with CAD development and/or progression is not yet known, genome-wide association studies have implicated more than 400 loci associated with CAD risk, among which several have shown EC-relevant functions. Given the arduous process of mechanistically interrogating single loci to CAD, high-throughput variant characterization methods, including pooled Clustered Regularly Interspaced Short Palindromic Repeats screens, offer exciting potential to rapidly accelerate the discovery of bona fide EC-relevant genetic loci. These discoveries in turn will broaden the therapeutic avenues for CAD beyond lipid lowering and behavioral risk modification to include EC-centric modalities of risk prevention and treatment.
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Affiliation(s)
- Mark E Pepin
- Cardiovascular Disease Initiative, The Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, Massachusetts; Divisions of Genetics and Cardiovascular Medicine, Brigham & Women's Hospital, Boston, Massachusetts
| | - Rajat M Gupta
- Cardiovascular Disease Initiative, The Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, Massachusetts; Divisions of Genetics and Cardiovascular Medicine, Brigham & Women's Hospital, Boston, Massachusetts.
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34
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Park JK, Petrazzini BO, Bafna S, Duffy Á, Forrest IS, Vy HM, Marquez-Luna C, Verbanck M, Narula J, Rosenson RS, Jordan DM, Rocheleau G, Do R. Muesli Intake May Protect Against Coronary Artery Disease: Mendelian Randomization on 13 Dietary Traits. JACC. ADVANCES 2024; 3:100888. [PMID: 38737007 PMCID: PMC11087059 DOI: 10.1016/j.jacadv.2024.100888] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/15/2023] [Accepted: 12/12/2023] [Indexed: 05/14/2024]
Abstract
BACKGROUND Diet is a key modifiable risk factor of coronary artery disease (CAD). However, the causal effects of specific dietary traits on CAD risk remain unclear. With the expansion of dietary data in population biobanks, Mendelian randomization (MR) could help enable the efficient estimation of causality in diet-disease associations. OBJECTIVES The primary goal was to test causality for 13 common dietary traits on CAD risk using a systematic 2-sample MR framework. A secondary goal was to identify plasma metabolites mediating diet-CAD associations suspected to be causal. METHODS Cross-sectional genetic and dietary data on up to 420,531 UK Biobank and 184,305 CARDIoGRAMplusC4D individuals of European ancestry were used in 2-sample MR. The primary analysis used fixed effect inverse-variance weighted regression, while sensitivity analyses used weighted median estimation, MR-Egger regression, and MR-Pleiotropy Residual Sum and Outlier. RESULTS Genetic variants serving as proxies for muesli intake were negatively associated with CAD risk (OR: 0.74; 95% CI: 0.65-0.84; P = 5.385 × 10-4). Sensitivity analyses using weighted median estimation supported this with a significant association in the same direction. Additionally, we identified higher plasma acetate levels as a potential mediator (OR: 0.03; 95% CI: 0.01-0.12; P = 1.15 × 10-4). CONCLUSIONS Muesli, a mixture of oats, seeds, nuts, dried fruit, and milk, may causally reduce CAD risk. Circulating levels of acetate, a gut microbiota-derived short-chain fatty acid, could be mediating its cardioprotective effects. These findings highlight the role of gut flora in cardiovascular health and help prioritize randomized trials on dietary interventions for CAD.
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Affiliation(s)
- Joshua K. Park
- Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, USA
- Medical Scientist Training Program, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Ben Omega Petrazzini
- Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Shantanu Bafna
- Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Áine Duffy
- Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Iain S. Forrest
- Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, USA
- Medical Scientist Training Program, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Ha My Vy
- Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Carla Marquez-Luna
- Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | | | - Jagat Narula
- Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA
- Cardiovascular Imaging Program, Zena and Michael A. Wiener Cardiovascular Institute, Mount Sinai Heart, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Robert S. Rosenson
- Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA
- Metabolism and Lipids Unit, Zena and Michael A. Wiener Cardiovascular Institute, Mount Sinai Heart, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Daniel M. Jordan
- Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Ghislain Rocheleau
- Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Ron Do
- Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, USA
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Hilleman DE, Vacek JL, Backes JM. Elevated Lp(a): Guidance for Identifying and Managing Patients. South Med J 2024; 117:208-213. [PMID: 38569611 DOI: 10.14423/smj.0000000000001675] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/05/2024]
Abstract
Lipoprotein(a) (Lp(a)) is a unique low-density lipoprotein-like lipoprotein that is considered an independent and causal risk factor for atherosclerotic cardiovascular disease (ASCVD) and calcific aortic valve stenosis. The Lp(a) molecule also contains apolipoprotein A and apolipoprotein B, which collectively promote atherosclerosis, thrombosis, and inflammation. Lp(a) is highly genetic and minimally responsive to nonpharmacological measures. Lp(a) serum levels ≥125 nmol/L are associated with increased ASCVD risk, but this threshold has not been accepted universally. Elevated Lp(a) is the most common genetic dyslipidemia affecting approximately 20% of the general population. Certain currently available lipid-lowering drugs, including the proprotein convertase subtilisin/kexin type 9 therapies, produce moderate reductions in Lp(a); however, none are indicated for the treatment of elevated Lp(a). There are currently four investigational RNA-based therapeutic agents that reduce Lp(a) by 70% to 100%. Two of these agents are being evaluated for ASCVD risk reduction in adequately powered outcomes trials, with results expected in 2 to 3 years. Until such therapies become available and demonstrate favorable clinical outcomes, strategies for elevated Lp(a) primarily involve early and intensive ASCVD risk factor management.
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Affiliation(s)
- Daniel E Hilleman
- From the Creighton University School of Pharmacy and Health Professions, Omaha, Nebraska
| | - James L Vacek
- Department of Cardiovascular Medicine, University of Kansas Health System, Kansas City
| | - James M Backes
- the Atherosclerosis and LDL-Apheresis Center, University of Kansas Medical Center, KU School of Pharmacy, Lawrence
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36
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Chia SPS, Pang JKS, Soh BS. Current RNA strategies in treating cardiovascular diseases. Mol Ther 2024; 32:580-608. [PMID: 38291757 PMCID: PMC10928165 DOI: 10.1016/j.ymthe.2024.01.028] [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: 09/14/2023] [Revised: 12/22/2023] [Accepted: 01/23/2024] [Indexed: 02/01/2024] Open
Abstract
Cardiovascular disease (CVD) continues to impose a significant global health burden, necessitating the exploration of innovative treatment strategies. Ribonucleic acid (RNA)-based therapeutics have emerged as a promising avenue to address the complex molecular mechanisms underlying CVD pathogenesis. We present a comprehensive review of the current state of RNA therapeutics in the context of CVD, focusing on the diverse modalities that bring about transient or permanent modifications by targeting the different stages of the molecular biology central dogma. Considering the immense potential of RNA therapeutics, we have identified common gene targets that could serve as potential interventions for prevalent Mendelian CVD caused by single gene mutations, as well as acquired CVDs developed over time due to various factors. These gene targets offer opportunities to develop RNA-based treatments tailored to specific genetic and molecular pathways, presenting a novel and precise approach to address the complex pathogenesis of both types of cardiovascular conditions. Additionally, we discuss the challenges and opportunities associated with delivery strategies to achieve targeted delivery of RNA therapeutics to the cardiovascular system. This review highlights the immense potential of RNA-based interventions as a novel and precise approach to combat CVD, paving the way for future advancements in cardiovascular therapeutics.
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Affiliation(s)
- Shirley Pei Shan Chia
- Institute of Molecular and Cell Biology (IMCB), Agency for Science, Technology and Research (A∗STAR), 61 Biopolis Drive, Proteos, Singapore 138673, Singapore; Department of Biological Sciences, National University of Singapore, 16 Science Drive 4, Singapore 117558, Singapore
| | - Jeremy Kah Sheng Pang
- Institute of Molecular and Cell Biology (IMCB), Agency for Science, Technology and Research (A∗STAR), 61 Biopolis Drive, Proteos, Singapore 138673, Singapore
| | - Boon-Seng Soh
- Institute of Molecular and Cell Biology (IMCB), Agency for Science, Technology and Research (A∗STAR), 61 Biopolis Drive, Proteos, Singapore 138673, Singapore; Department of Biological Sciences, National University of Singapore, 16 Science Drive 4, Singapore 117558, Singapore.
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37
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Sullivan SO', Al Hageh C, Henschel A, Chacar S, Abchee A, Zalloua P, Nader M. HDL levels modulate the impact of type 2 diabetes susceptibility alleles in older adults. Lipids Health Dis 2024; 23:56. [PMID: 38389069 PMCID: PMC10882764 DOI: 10.1186/s12944-024-02039-7] [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: 09/28/2023] [Accepted: 02/02/2024] [Indexed: 02/24/2024] Open
Abstract
BACKGROUND Type 2 Diabetes (T2D) is influenced by genetic, environmental, and ageing factors. Ageing pathways exacerbate metabolic diseases. This study aimed to examine both clinical and genetic factors of T2D in older adults. METHODS A total of 2,909 genotyped patients were enrolled in this study. Genome Wide Association Study was conducted, comparing T2D patients to non-diabetic older adults aged ≥ 60, ≥ 65, or ≥ 70 years, respectively. Binomial logistic regressions were applied to examine the association between T2D and various risk factors. Stepwise logistic regression was conducted to explore the impact of low HDL (HDL < 40 mg/dl) on the relationship between the genetic variants and T2D. A further validation step using data from the UK Biobank with 53,779 subjects was performed. RESULTS The association of T2D with both low HDL and family history of T2D increased with the age of control groups. T2D susceptibility variants (rs7756992, rs4712523 and rs10946403) were associated with T2D, more significantly with increased age of the control group. These variants had stronger effects on T2D risk when combined with low HDL cholesterol levels, especially in older control groups. CONCLUSIONS The findings highlight a critical role of age, genetic predisposition, and HDL levels in T2D risk. The findings suggest that individuals over 70 years who have high HDL levels without the T2D susceptibility alleles may be at the lowest risk of developing T2D. These insights can inform tailored preventive strategies for older adults, enhancing personalized T2D risk assessments and interventions.
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Affiliation(s)
- Siobhán O ' Sullivan
- Department of Biological Sciences, College of Medicine and Health Sciences, Khalifa University, Abu Dhabi, United Arab Emirates
| | - Cynthia Al Hageh
- Department of Public Health and Epidemiology, College of Medicine and Health Sciences, Khalifa University, Abu Dhabi, United Arab Emirates
| | - Andreas Henschel
- Department of Computer Science, College of Engineering, Khalifa University, Abu Dhabi, United Arab Emirates
| | - Stephanie Chacar
- Department of Medical Sciences, College of Medicine and Health Sciences, Khalifa University, PO Box 127788, Abu Dhabi, United Arab Emirates
| | - Antoine Abchee
- Faculty of Medicine, University of Balamand, Balamand, Lebanon
| | - Pierre Zalloua
- Faculty of Medicine, University of Balamand, Balamand, Lebanon.
- Harvard T.H. Chan School of Public Health, Boston, MA, USA.
- Department of Public Health and Epidemiology, College of Medicine and Health Sciences, Khalifa University, Abu Dhabi, United Arab Emirates.
| | - Moni Nader
- Department of Medical Sciences, College of Medicine and Health Sciences, Khalifa University, PO Box 127788, Abu Dhabi, United Arab Emirates.
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Zhu QM, Hsu YHH, Lassen FH, MacDonald BT, Stead S, Malolepsza E, Kim A, Li T, Mizoguchi T, Schenone M, Guzman G, Tanenbaum B, Fornelos N, Carr SA, Gupta RM, Ellinor PT, Lage K. Protein interaction networks in the vasculature prioritize genes and pathways underlying coronary artery disease. Commun Biol 2024; 7:87. [PMID: 38216744 PMCID: PMC10786878 DOI: 10.1038/s42003-023-05705-1] [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: 09/18/2023] [Accepted: 12/13/2023] [Indexed: 01/14/2024] Open
Abstract
Population-based association studies have identified many genetic risk loci for coronary artery disease (CAD), but it is often unclear how genes within these loci are linked to CAD. Here, we perform interaction proteomics for 11 CAD-risk genes to map their protein-protein interactions (PPIs) in human vascular cells and elucidate their roles in CAD. The resulting PPI networks contain interactions that are outside of known biology in the vasculature and are enriched for genes involved in immunity-related and arterial-wall-specific mechanisms. Several PPI networks derived from smooth muscle cells are significantly enriched for genetic variants associated with CAD and related vascular phenotypes. Furthermore, the networks identify 61 genes that are found in genetic loci associated with risk of CAD, prioritizing them as the causal candidates within these loci. These findings indicate that the PPI networks we have generated are a rich resource for guiding future research into the molecular pathogenesis of CAD.
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Affiliation(s)
- Qiuyu Martin Zhu
- Cardiovascular Disease Initiative & Precision Cardiology Laboratory, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA, USA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Yu-Han H Hsu
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Novo Nordisk Foundation Center for Genomic Mechanisms of Disease, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Surgery, Massachusetts General Hospital, Boston, MA, USA
| | - Frederik H Lassen
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Surgery, Massachusetts General Hospital, Boston, MA, USA
- Wellcome Centre for Human Genetics, Nuffield Department of Medicine, University of Oxford, Oxford, UK
| | - Bryan T MacDonald
- Cardiovascular Disease Initiative & Precision Cardiology Laboratory, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Stephanie Stead
- Cardiovascular Disease Initiative & Precision Cardiology Laboratory, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Edyta Malolepsza
- Genomics Platform, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - April Kim
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Surgery, Massachusetts General Hospital, Boston, MA, USA
| | - Taibo Li
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Surgery, Massachusetts General Hospital, Boston, MA, USA
| | - Taiji Mizoguchi
- Cardiovascular Disease Initiative & Precision Cardiology Laboratory, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA, USA
| | - Monica Schenone
- Proteomics Platform, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Gaelen Guzman
- Proteomics Platform, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Benjamin Tanenbaum
- Proteomics Platform, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Nadine Fornelos
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Novo Nordisk Foundation Center for Genomic Mechanisms of Disease, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Surgery, Massachusetts General Hospital, Boston, MA, USA
| | - Steven A Carr
- Proteomics Platform, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Rajat M Gupta
- Divisions of Cardiovascular Medicine and Genetics, Brigham and Women's Hospital, Boston, MA, USA
| | - Patrick T Ellinor
- Cardiovascular Disease Initiative & Precision Cardiology Laboratory, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
- Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA, USA.
| | - Kasper Lage
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
- Novo Nordisk Foundation Center for Genomic Mechanisms of Disease, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
- Department of Surgery, Massachusetts General Hospital, Boston, MA, USA.
- Institute of Biological Psychiatry, Mental Health Centre Sct. Hans, Mental Health Services Copenhagen, Roskilde, Denmark.
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Ye Y, Hu J, Pang F, Cui C, Zhao H. Genomic risk prediction of cardiovascular diseases among type 2 diabetes patients in the UK Biobank. FRONTIERS IN BIOINFORMATICS 2024; 3:1320748. [PMID: 38239805 PMCID: PMC10794561 DOI: 10.3389/fbinf.2023.1320748] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2023] [Accepted: 12/11/2023] [Indexed: 01/22/2024] Open
Abstract
Background: Polygenic risk score (PRS) has proved useful in predicting the risk of cardiovascular diseases (CVD) based on the genotypes of an individual, but most analyses have focused on disease onset in the general population. The usefulness of PRS to predict CVD risk among type 2 diabetes (T2D) patients remains unclear. Methods: We built a meta-PRSCVD upon the candidate PRSs developed from state-of-the-art PRS methods for three CVD subtypes of significant importance: coronary artery disease (CAD), ischemic stroke (IS), and heart failure (HF). To evaluate the prediction performance of the meta-PRSCVD, we restricted our analysis to 21,092 white British T2D patients in the UK Biobank, among which 4,015 had CVD events. Results: Results showed that the meta-PRSCVD was significantly associated with CVD risk with a hazard ratio per standard deviation increase of 1.28 (95% CI: 1.23-1.33). The meta-PRSCVD alone predicted the CVD incidence with an area under the receiver operating characteristic curve (AUC) of 0.57 (95% CI: 0.54-0.59). When restricted to the early-onset patients (onset age ≤ 55), the AUC was further increased to 0.61 (95% CI 0.56-0.67). Conclusion: Our results highlight the potential role of genomic screening for secondary preventions of CVD among T2D patients, especially among early-onset patients.
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Affiliation(s)
- Yixuan Ye
- Program of Computational Biology and Bioinformatics, Yale University, New Haven, CT, United States
| | - Jiaqi Hu
- Department of Chronic Disease Epidemiology, Yale School of Public Health, New Haven, CT, United States
| | - Fuyuan Pang
- Department of Biostatistics, Yale School of Public Health, New Haven, CT, United States
- Department of Biostatistics, Shanghai Jiao Tong University, Shanghai, China
| | - Can Cui
- Department of Immunobiology, Yale University School of Medicine, New Haven, CT, United States
| | - Hongyu Zhao
- Program of Computational Biology and Bioinformatics, Yale University, New Haven, CT, United States
- Department of Biostatistics, Yale School of Public Health, New Haven, CT, United States
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40
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Cornelissen A, Gadhoke NV, Ryan K, Hodonsky CJ, Mitchell R, Bihlmeyer NA, Duong T, Chen Z, Dikongue A, Sakamoto A, Sato Y, Kawakami R, Mori M, Kawai K, Fernandez R, Ghosh SKB, Braumann R, Abebe B, Kutys R, Kutyna M, Romero ME, Kolodgie FD, Miller CL, Hong CC, Grove ML, Brody JA, Sotoodehnia N, Arking DE, Schunkert H, Mitchell BD, Guo L, Virmani R, Finn AV. Polygenic Risk Score Associates With Atherosclerotic Plaque Characteristics at Autopsy. Arterioscler Thromb Vasc Biol 2024; 44:300-313. [PMID: 37916415 DOI: 10.1161/atvbaha.123.319818] [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: 07/05/2023] [Accepted: 10/19/2023] [Indexed: 11/03/2023]
Abstract
BACKGROUND Polygenic risk scores (PRSs) for coronary artery disease (CAD) potentially improve cardiovascular risk prediction. However, their relationship with histopathologic features of CAD has never been examined systematically. METHODS From 4327 subjects referred to CVPath by the State of Maryland Office Chief Medical Examiner for sudden death between 1994 and 2015, 2455 cases were randomly selected for genotyping. We generated PRS from 291 known CAD risk loci. Detailed histopathologic examination of the coronary arteries was performed in all subjects. The primary study outcome measurements were histopathologic plaque features determining severity of atherosclerosis, including %stenosis, calcification, thin-cap fibroatheromas, and thrombotic CAD. RESULTS After exclusion of cases with insufficient DNA sample quality or with missing data, 954 cases (mean age, 48.8±14.7 years; 75.7% men) remained in the final study cohort. Subjects in the highest PRS quintile exhibited more severe atherosclerosis compared with subjects in the lowest quintile, with greater %stenosis (80.3%±27.0% versus 50.4%±38.7%; adjusted P<0.001) and a higher frequency of calcification (69.6% versus 35.8%; adjusted P=0.004) and thin-cap fibroatheroma (26.7% versus 9.5%; adjusted P=0.007). Even after adjustment for traditional CAD risk factors, subjects within the highest PRS quintile had higher odds of severe atherosclerosis (ie, ≥75% stenosis; adjusted odds ratio, 3.77 [95% CI, 2.10-6.78]; P<0.001) and plaque rupture (adjusted odds ratio, 4.05 [95% CI, 2.26-7.24]; P<0.001). Moreover, subjects within the highest quintile had higher odds of CAD-associated cause of death, especially among those aged ≤50 years (adjusted odds ratio, 4.08 [95% CI, 2.01-8.30]; P<0.001). No statistically significant associations were observed with plaque erosion after adjusting for covariates. CONCLUSIONS This is the first autopsy study investigating associations between PRS and atherosclerosis severity at the histopathologic level in subjects with sudden death. Our pathological analysis suggests PRS correlates with plaque burden and features of advanced atherosclerosis and may be useful as a method for CAD risk stratification, especially in younger subjects.
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Affiliation(s)
- Anne Cornelissen
- CVPath Institute, Gaithersburg, MD (A.C., N.V.G., A.D., A.S., Y.S., R. Kawakami, M.M., K.K., R.F., S.K.B.G., R.B., B.A., R. Kutys, M.K., M.E.R., F.D.K., L.G., R.V., A.V.F.)
- Department of Cardiology, University Hospital RWTH Aachen, Germany (A.C.)
| | - Neel V Gadhoke
- CVPath Institute, Gaithersburg, MD (A.C., N.V.G., A.D., A.S., Y.S., R. Kawakami, M.M., K.K., R.F., S.K.B.G., R.B., B.A., R. Kutys, M.K., M.E.R., F.D.K., L.G., R.V., A.V.F.)
| | - Kathleen Ryan
- Department of Medicine, University of Maryland School of Medicine, Baltimore (K.R., C.C.H., B.D.M., A.V.F.)
| | - Chani J Hodonsky
- Department of Public Health Sciences, Center for Public Health Genomics, University of Virginia School of Medicine, Charlottesville (C.J.H., C.L.M.)
| | - Rebecca Mitchell
- Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD (R.M., N.A.B., T.D., M.L.G., N.S., D.E.A.)
| | - Nathan A Bihlmeyer
- Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD (R.M., N.A.B., T.D., M.L.G., N.S., D.E.A.)
| | - ThuyVy Duong
- Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD (R.M., N.A.B., T.D., M.L.G., N.S., D.E.A.)
| | - Zhifen Chen
- Department of Cardiology, Deutsches Herzzentrum München, Technische Universität München, Munich, Germany (Z.C., H.S.)
- Deutsches Zentrum für Herz-und Kreislauferkrankungen (DZHK), Partner Site Munich Heart Alliance, Germany (Z.C., H.S.)
| | - Armelle Dikongue
- CVPath Institute, Gaithersburg, MD (A.C., N.V.G., A.D., A.S., Y.S., R. Kawakami, M.M., K.K., R.F., S.K.B.G., R.B., B.A., R. Kutys, M.K., M.E.R., F.D.K., L.G., R.V., A.V.F.)
| | - Atsushi Sakamoto
- CVPath Institute, Gaithersburg, MD (A.C., N.V.G., A.D., A.S., Y.S., R. Kawakami, M.M., K.K., R.F., S.K.B.G., R.B., B.A., R. Kutys, M.K., M.E.R., F.D.K., L.G., R.V., A.V.F.)
| | - Yu Sato
- CVPath Institute, Gaithersburg, MD (A.C., N.V.G., A.D., A.S., Y.S., R. Kawakami, M.M., K.K., R.F., S.K.B.G., R.B., B.A., R. Kutys, M.K., M.E.R., F.D.K., L.G., R.V., A.V.F.)
| | - Rika Kawakami
- CVPath Institute, Gaithersburg, MD (A.C., N.V.G., A.D., A.S., Y.S., R. Kawakami, M.M., K.K., R.F., S.K.B.G., R.B., B.A., R. Kutys, M.K., M.E.R., F.D.K., L.G., R.V., A.V.F.)
| | - Masayuki Mori
- CVPath Institute, Gaithersburg, MD (A.C., N.V.G., A.D., A.S., Y.S., R. Kawakami, M.M., K.K., R.F., S.K.B.G., R.B., B.A., R. Kutys, M.K., M.E.R., F.D.K., L.G., R.V., A.V.F.)
| | - Kenji Kawai
- CVPath Institute, Gaithersburg, MD (A.C., N.V.G., A.D., A.S., Y.S., R. Kawakami, M.M., K.K., R.F., S.K.B.G., R.B., B.A., R. Kutys, M.K., M.E.R., F.D.K., L.G., R.V., A.V.F.)
| | - Raquel Fernandez
- CVPath Institute, Gaithersburg, MD (A.C., N.V.G., A.D., A.S., Y.S., R. Kawakami, M.M., K.K., R.F., S.K.B.G., R.B., B.A., R. Kutys, M.K., M.E.R., F.D.K., L.G., R.V., A.V.F.)
| | - Saikat Kumar B Ghosh
- CVPath Institute, Gaithersburg, MD (A.C., N.V.G., A.D., A.S., Y.S., R. Kawakami, M.M., K.K., R.F., S.K.B.G., R.B., B.A., R. Kutys, M.K., M.E.R., F.D.K., L.G., R.V., A.V.F.)
| | - Ryan Braumann
- CVPath Institute, Gaithersburg, MD (A.C., N.V.G., A.D., A.S., Y.S., R. Kawakami, M.M., K.K., R.F., S.K.B.G., R.B., B.A., R. Kutys, M.K., M.E.R., F.D.K., L.G., R.V., A.V.F.)
| | - Biniyam Abebe
- CVPath Institute, Gaithersburg, MD (A.C., N.V.G., A.D., A.S., Y.S., R. Kawakami, M.M., K.K., R.F., S.K.B.G., R.B., B.A., R. Kutys, M.K., M.E.R., F.D.K., L.G., R.V., A.V.F.)
| | - Robert Kutys
- CVPath Institute, Gaithersburg, MD (A.C., N.V.G., A.D., A.S., Y.S., R. Kawakami, M.M., K.K., R.F., S.K.B.G., R.B., B.A., R. Kutys, M.K., M.E.R., F.D.K., L.G., R.V., A.V.F.)
| | - Matthew Kutyna
- CVPath Institute, Gaithersburg, MD (A.C., N.V.G., A.D., A.S., Y.S., R. Kawakami, M.M., K.K., R.F., S.K.B.G., R.B., B.A., R. Kutys, M.K., M.E.R., F.D.K., L.G., R.V., A.V.F.)
| | - Maria E Romero
- CVPath Institute, Gaithersburg, MD (A.C., N.V.G., A.D., A.S., Y.S., R. Kawakami, M.M., K.K., R.F., S.K.B.G., R.B., B.A., R. Kutys, M.K., M.E.R., F.D.K., L.G., R.V., A.V.F.)
| | - Frank D Kolodgie
- CVPath Institute, Gaithersburg, MD (A.C., N.V.G., A.D., A.S., Y.S., R. Kawakami, M.M., K.K., R.F., S.K.B.G., R.B., B.A., R. Kutys, M.K., M.E.R., F.D.K., L.G., R.V., A.V.F.)
| | - Clint L Miller
- Department of Public Health Sciences, Center for Public Health Genomics, University of Virginia School of Medicine, Charlottesville (C.J.H., C.L.M.)
| | - Charles C Hong
- Department of Medicine, University of Maryland School of Medicine, Baltimore (K.R., C.C.H., B.D.M., A.V.F.)
| | - Megan L Grove
- Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD (R.M., N.A.B., T.D., M.L.G., N.S., D.E.A.)
| | - Jennifer A Brody
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle (J.A.B.)
| | - Nona Sotoodehnia
- Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD (R.M., N.A.B., T.D., M.L.G., N.S., D.E.A.)
| | - Dan E Arking
- Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD (R.M., N.A.B., T.D., M.L.G., N.S., D.E.A.)
| | - Heribert Schunkert
- Department of Cardiology, Deutsches Herzzentrum München, Technische Universität München, Munich, Germany (Z.C., H.S.)
- Deutsches Zentrum für Herz-und Kreislauferkrankungen (DZHK), Partner Site Munich Heart Alliance, Germany (Z.C., H.S.)
| | - Braxton D Mitchell
- Department of Medicine, University of Maryland School of Medicine, Baltimore (K.R., C.C.H., B.D.M., A.V.F.)
- Geriatrics Research and Education Clinical Center, Baltimore Veterans Administration Medical Center, MD (B.D.M.)
| | - Liang Guo
- CVPath Institute, Gaithersburg, MD (A.C., N.V.G., A.D., A.S., Y.S., R. Kawakami, M.M., K.K., R.F., S.K.B.G., R.B., B.A., R. Kutys, M.K., M.E.R., F.D.K., L.G., R.V., A.V.F.)
| | - Renu Virmani
- CVPath Institute, Gaithersburg, MD (A.C., N.V.G., A.D., A.S., Y.S., R. Kawakami, M.M., K.K., R.F., S.K.B.G., R.B., B.A., R. Kutys, M.K., M.E.R., F.D.K., L.G., R.V., A.V.F.)
| | - Aloke V Finn
- CVPath Institute, Gaithersburg, MD (A.C., N.V.G., A.D., A.S., Y.S., R. Kawakami, M.M., K.K., R.F., S.K.B.G., R.B., B.A., R. Kutys, M.K., M.E.R., F.D.K., L.G., R.V., A.V.F.)
- Department of Medicine, University of Maryland School of Medicine, Baltimore (K.R., C.C.H., B.D.M., A.V.F.)
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Sheikhy A, Fallahzadeh A, Jameie M, Aein A, Masoudkabir F, Maghsoudi M, Tajdini M, Salarifar M, Jenab Y, Pourhosseini H, Mehrani M, Alidoosti M, Vasheghani-Farahani A, Hosseini K. In-hospital and 1-year outcomes of patients without modifiable risk factors presenting with acute coronary syndrome undergoing PCI: a Sex-stratified analysis. Front Cardiovasc Med 2023; 10:1235667. [PMID: 38173819 PMCID: PMC10761535 DOI: 10.3389/fcvm.2023.1235667] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2023] [Accepted: 12/04/2023] [Indexed: 01/05/2024] Open
Abstract
Aim A considerable proportion of patients admitted with acute coronary syndrome (ACS) have no standard modifiable cardiovascular risk factors (SMuRFs: hypertension, diabetes mellitus, dyslipidemia, and cigarette smoking). The outcomes of this population following percutaneous coronary intervention (PCI) are debated. Further, sex differences within this population have yet to be established. Methods This retrospective cohort study included 7,847 patients with ACS who underwent PCI. The study outcomes were in-hospital mortality, all-cause mortality, and major adverse cardio-cerebrovascular events (MACCE). The association between the absence of SMuRFs (SMuRF-less status) and outcomes among all the patients and each sex was assessed using logistic and Cox proportional hazard regressions. Results Approximately 11% of the study population had none of the SMuRFs. During 12.13 [11.99-12.36] months of follow-up, in-hospital mortality (adjusted-odds ratio (OR):1.51, 95%confidence interval (CI): 0.91-2.65, P:0.108), all-cause mortality [adjusted-hazard ratio (HR): 1.01, 95%CI: 0.88-1.46, P: 0.731], and MACCE (adjusted-HR: 0.93, 95%CI:0.81-1.12, P: 0.412) did not differ between patients with and without SMuRFs. Sex-stratified analyses recapitulated similar outcomes between SMuRF+ and SMuRF-less men. In contrast, SMuRF-less women had significantly higher in-hospital (adjusted-OR: 3.28, 95%CI: 1.92-6.21, P < 0.001) and all-cause mortality (adjusted-HR:1.41, 95%CI: 1.02-3.21, P: 0.008) than SMuRF+ women. Conclusions Almost one in 10 patients with ACS who underwent PCI had no SMuRFs. The absence of SMuRFs did not confer any benefit in terms of in-hospital mortality, one-year mortality, and MACCE. Even worse, SMuRF-less women paradoxically had an excessive risk of in-hospital and one-year mortality.
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Affiliation(s)
- Ali Sheikhy
- Tehran Heart Center, Cardiovascular Diseases Research Institute, Tehran University of Medical Sciences, Tehran, Iran
- Cardiac Primary Prevention Research Center, Cardiovascular Diseases Research Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Aida Fallahzadeh
- Tehran Heart Center, Cardiovascular Diseases Research Institute, Tehran University of Medical Sciences, Tehran, Iran
- Cardiac Primary Prevention Research Center, Cardiovascular Diseases Research Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Mana Jameie
- Tehran Heart Center, Cardiovascular Diseases Research Institute, Tehran University of Medical Sciences, Tehran, Iran
- Cardiac Primary Prevention Research Center, Cardiovascular Diseases Research Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Afsaneh Aein
- Tehran Heart Center, Cardiovascular Diseases Research Institute, Tehran University of Medical Sciences, Tehran, Iran
- Cardiac Primary Prevention Research Center, Cardiovascular Diseases Research Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Farzad Masoudkabir
- Tehran Heart Center, Cardiovascular Diseases Research Institute, Tehran University of Medical Sciences, Tehran, Iran
- Cardiac Primary Prevention Research Center, Cardiovascular Diseases Research Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Milad Maghsoudi
- Faculty of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Masih Tajdini
- Tehran Heart Center, Cardiovascular Diseases Research Institute, Tehran University of Medical Sciences, Tehran, Iran
- Cardiac Primary Prevention Research Center, Cardiovascular Diseases Research Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Mojtaba Salarifar
- Tehran Heart Center, Cardiovascular Diseases Research Institute, Tehran University of Medical Sciences, Tehran, Iran
- Cardiac Primary Prevention Research Center, Cardiovascular Diseases Research Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Yaser Jenab
- Tehran Heart Center, Cardiovascular Diseases Research Institute, Tehran University of Medical Sciences, Tehran, Iran
- Cardiac Primary Prevention Research Center, Cardiovascular Diseases Research Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Hamidreza Pourhosseini
- Tehran Heart Center, Cardiovascular Diseases Research Institute, Tehran University of Medical Sciences, Tehran, Iran
- Cardiac Primary Prevention Research Center, Cardiovascular Diseases Research Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Mehdi Mehrani
- Tehran Heart Center, Cardiovascular Diseases Research Institute, Tehran University of Medical Sciences, Tehran, Iran
- Cardiac Primary Prevention Research Center, Cardiovascular Diseases Research Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Mohammad Alidoosti
- Tehran Heart Center, Cardiovascular Diseases Research Institute, Tehran University of Medical Sciences, Tehran, Iran
- Cardiac Primary Prevention Research Center, Cardiovascular Diseases Research Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Ali Vasheghani-Farahani
- Cardiac Primary Prevention Research Center, Cardiovascular Diseases Research Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Kaveh Hosseini
- Tehran Heart Center, Cardiovascular Diseases Research Institute, Tehran University of Medical Sciences, Tehran, Iran
- Cardiac Primary Prevention Research Center, Cardiovascular Diseases Research Institute, Tehran University of Medical Sciences, Tehran, Iran
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42
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Møller AL, Vasan RS, Levy D, Andersson C, Lin H. Integrated omics analysis of coronary artery calcifications and myocardial infarction: the Framingham Heart Study. Sci Rep 2023; 13:21581. [PMID: 38062110 PMCID: PMC10703905 DOI: 10.1038/s41598-023-48848-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2023] [Accepted: 11/30/2023] [Indexed: 12/18/2023] Open
Abstract
Gene function can be described using various measures. We integrated association studies of three types of omics data to provide insights into the pathophysiology of subclinical coronary disease and myocardial infarction (MI). Using multivariable regression models, we associated: (1) single nucleotide polymorphism, (2) DNA methylation, and (3) gene expression with coronary artery calcification (CAC) scores and MI. Among 3106 participants of the Framingham Heart Study, 65 (2.1%) had prevalent MI and 60 (1.9%) had incident MI, median CAC value was 67.8 [IQR 10.8, 274.9], and 1403 (45.2%) had CAC scores > 0 (prevalent CAC). Prevalent CAC was associated with AHRR (linked to smoking) and EXOC3 (affecting platelet function and promoting hemostasis). CAC score was associated with VWA1 (extracellular matrix protein associated with cartilage structure in endomysium). For prevalent MI we identified FYTTD1 (down-regulated in familial hypercholesterolemia) and PINK1 (linked to cardiac tissue homeostasis and ischemia-reperfusion injury). Incident MI was associated with IRX3 (enhancing browning of white adipose tissue) and STXBP3 (controlling trafficking of glucose transporter type 4 to plasma). Using an integrative trans-omics approach, we identified both putatively novel and known candidate genes associated with CAC and MI. Replication of findings is warranted.
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Affiliation(s)
- Amalie Lykkemark Møller
- Section of Preventive Medicine and Epidemiology, Department of Medicine, Boston University School of Medicine, Boston, MA, USA.
- Department of Cardiology, Nordsjællands Hospital, Hillerød, Denmark.
| | - Ramachandran S Vasan
- Section of Preventive Medicine and Epidemiology, Department of Medicine, Boston University School of Medicine, Boston, MA, USA
- Boston University's and National Heart, Lung, and Blood Institute's Framingham Heart Study, Framingham, MA, USA
- University of Texas School of Public Health San Antonio, and Departments of Medicine and Population Health Sciences, University of Texas Health Science Center, San Antonio, TX, USA
| | - Daniel Levy
- Boston University's and National Heart, Lung, and Blood Institute's Framingham Heart Study, Framingham, MA, USA
- Population Sciences Branch, Division of Intramural Research, National Institutes of Health, Bethesda, MD, USA
| | - Charlotte Andersson
- Section of Cardiovascular Medicine, Department of Medicine, Boston Medical Center, Boston University School of Medicine, Boston, MA, USA
| | - Honghuang Lin
- Department of Medicine, University of Massachusetts Chan Medical School, Worcester, MA, USA
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43
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Lin J, Mars N, Fu Y, Ripatti P, Kiiskinen T, Tukiainen T, Ripatti S, Pirinen M. Integration of Biomarker Polygenic Risk Score Improves Prediction of Coronary Heart Disease. JACC Basic Transl Sci 2023; 8:1489-1499. [PMID: 38205343 PMCID: PMC10774750 DOI: 10.1016/j.jacbts.2023.07.006] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/09/2023] [Revised: 07/06/2023] [Accepted: 07/10/2023] [Indexed: 01/12/2024]
Abstract
There are several established biomarkers for coronary heart disease (CHD), including blood pressure, cholesterol, and lipoproteins. It is of high interest to determine how a combined polygenic risk score (PRS) of CHD-associated biomarkers (BioPRS) can further improve genetic prediction of CHD. We developed CHDBioPRS, combining BioPRS with PRS of CHD in the UK Biobank and tested it on FinnGen. We found that BioPRS was clearly predictive of CHD and that CHDBioPRS improved the standard CHD PRS. The largest effect was observed with early onset cases in FinnGen, with HRs above 2 per standard deviation of CHDBioPRS.
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Affiliation(s)
- Jake Lin
- Institute for Molecular Medicine Finland, Helsinki Institute of Life Science, University of Helsinki, Helsinki, Finland
- Health Sciences, Faculty of Social Sciences, Tampere University, Tampere, Finland
| | - Nina Mars
- Institute for Molecular Medicine Finland, Helsinki Institute of Life Science, University of Helsinki, Helsinki, Finland
| | - Yu Fu
- Institute for Molecular Medicine Finland, Helsinki Institute of Life Science, University of Helsinki, Helsinki, Finland
| | - Pietari Ripatti
- Institute for Molecular Medicine Finland, Helsinki Institute of Life Science, University of Helsinki, Helsinki, Finland
| | - Tuomo Kiiskinen
- Institute for Molecular Medicine Finland, Helsinki Institute of Life Science, University of Helsinki, Helsinki, Finland
| | - FinnGen study
- Institute for Molecular Medicine Finland, Helsinki Institute of Life Science, University of Helsinki, Helsinki, Finland
- Health Sciences, Faculty of Social Sciences, Tampere University, Tampere, Finland
- Department of Public Health, University of Helsinki, Helsinki, Finland
- Broad Institute of Massachusetts Institute of Technology, Harvard University, Cambridge, Massachusetts, USA
- Massachusetts General Hospital, Cambridge, Massachusetts, USA
- Department of Mathematics and Statistics, University of Helsinki, Helsinki, Finland
| | - Taru Tukiainen
- Institute for Molecular Medicine Finland, Helsinki Institute of Life Science, University of Helsinki, Helsinki, Finland
| | - Samuli Ripatti
- Institute for Molecular Medicine Finland, Helsinki Institute of Life Science, University of Helsinki, Helsinki, Finland
- Department of Public Health, University of Helsinki, Helsinki, Finland
- Broad Institute of Massachusetts Institute of Technology, Harvard University, Cambridge, Massachusetts, USA
- Massachusetts General Hospital, Cambridge, Massachusetts, USA
| | - Matti Pirinen
- Institute for Molecular Medicine Finland, Helsinki Institute of Life Science, University of Helsinki, Helsinki, Finland
- Department of Public Health, University of Helsinki, Helsinki, Finland
- Department of Mathematics and Statistics, University of Helsinki, Helsinki, Finland
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Abstract
The identification of a variant in the HDAC9 gene as a risk factor for large-artery atherosclerotic stroke, and subsequently coronary artery disease, has opened novel treatment pathways for stroke and more widely atherosclerotic disease. This article describes the pathway from gene discovery to novel therapeutic approaches that are now entering man. HDAC9 expression is elevated in human atherosclerotic plaque, while in animal and cellular models, reducing HDAC9 (histone deacetylase 9) protein is associated with reduced disease. Several mechanisms have been proposed to account for the association between HDAC9 and atherosclerosis including alterations in the inflammatory response and cholesterol efflux and endothelial-mesenchymal transition. The association raises the possibility that inhibiting HDAC9 may provide a novel treatment approach for atherosclerotic cardiovascular disease. This is supported by intervention studies demonstrating HDAC9 inhibition reduces atherosclerosis in animal and cellular models. Indirect data support such an approach in man. The antiseizure drug sodium valproate, which has nonspecific HDAC inhibitory properties, both inhibits atherosclerosis in animal models and is epidemiologically associated with reduced stroke and myocardial infarction risk in man. It is now being trailed in phase 2 studies in large-artery stroke, while more specific HDAC9 inhibitors are being developed.
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Affiliation(s)
- Hugh S Markus
- Stroke Research Group, Department of Clinical Neurosciences, University of Cambridge, United Kingdom
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45
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Silva S, Nitsch D, Fatumo S. Genome-wide association studies on coronary artery disease: A systematic review and implications for populations of different ancestries. PLoS One 2023; 18:e0294341. [PMID: 38019802 PMCID: PMC10686512 DOI: 10.1371/journal.pone.0294341] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2023] [Accepted: 10/28/2023] [Indexed: 12/01/2023] Open
Abstract
BACKGROUND Cardiovascular diseases are some of the leading causes of death worldwide, with coronary artery disease leading as one of the primary causes of mortality in both the developing and developed worlds. Despite its prevalence, there is a disproportionately small number of studies conducted in populations of non-European ancestry, with the limited sample sizes of such studies further restricting the power and generalizability of respective findings. This research aimed at understanding the differences in the genetic architecture of coronary artery disease (CAD) in populations of diverse ancestries in order to contribute towards the understanding of the pathophysiology of coronary artery disease. METHODS We performed a systematic review on the 6th of October, 2022 summarizing genome-wide association studies on coronary artery disease, while employing the GWAS Catalog as an independent database to support the search. We developed a framework to assess the methodological quality of each study. We extracted and grouped associated single nucleotide polymorphisms and genes according to ancestry groups of participants. RESULTS We identified 3100 studies, of which, 36 relevant studies were included in this research. Three of the studies that were included were not listed in the GWAS Catalog, highlighting the value of conducting an independent search alongside established databases in order to ensure the full research landscape has been captured. 743,919 CAD case participants from 25 different countries were analysed, with 61% of the studies identified in this research conducted in populations of European ancestry. No studies investigated populations of Africans living in continental Africa or admixed American ancestry groups besides African-Americans, while limited sample sizes were included of population groups besides Europeans and East Asians. This observed disproportionate population representation highlights the gaps in the literature, which limits our ability to understand coronary artery disease as a global disease. 71 genetic loci were identified to be associated with coronary artery disease in more than one article, with ancestry-specific genetic loci identified in each respective population group which were not detected in studies of other ancestries. CONCLUSIONS Although the replication and validation of these variants are still warranted, these finding are indicative of the value of including diverse ancestry populations in GWAS reference panels, as a more comprehensive understanding of the genetic architecture and pathophysiology of CAD can be achieved.
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Affiliation(s)
- Sarah Silva
- Department of Non-Communicable Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, United Kingdom
- The African Computational Genomics (TACG) Research Group, MRC/UVRI, and LSHTM, Entebbe, Uganda
| | - Dorothea Nitsch
- Department of Non-Communicable Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, United Kingdom
| | - Segun Fatumo
- Department of Non-Communicable Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, United Kingdom
- The African Computational Genomics (TACG) Research Group, MRC/UVRI, and LSHTM, Entebbe, Uganda
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46
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Ahmed F, Vranic M, Hetty S, Mathioudaki A, Patsoukaki V, Fanni G, Pereira MJ, Eriksson JW. Increased OCT3 Expression in Adipose Tissue With Aging: Implications for Catecholamine and Lipid Turnover and Insulin Resistance in Women. Endocrinology 2023; 165:bqad172. [PMID: 37972266 PMCID: PMC10690730 DOI: 10.1210/endocr/bqad172] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/09/2023] [Revised: 11/09/2023] [Accepted: 11/09/2023] [Indexed: 11/19/2023]
Abstract
BACKGROUND Catecholamine-stimulated lipolysis is reduced with aging, which may promote adiposity and insulin resistance. Organic cation transporter 3 (OCT3), which is inhibited by estradiol (E2), mediates catecholamine transport into adipocytes for degradation, thus decreasing lipolysis. In this study, we investigated the association of OCT3 mRNA levels in subcutaneous adipose tissue (SAT) with aging and markers of insulin resistance in women. METHODS SAT biopsies were obtained from 66 women with (19) or without (47) type 2 diabetes (age 22-76 years, 20.0-40.1 kg/m2). OCT3 mRNA and protein levels were measured for group comparisons and correlation analysis. SAT was incubated with E2 and OCT3 mRNA levels were measured. Associations between OCT3 single nucleotide polymorphisms (SNPs) and diabetes-associated traits were assessed. RESULTS OCT3 mRNA and protein levels in SAT increased with aging. SAT from postmenopausal women had higher levels of OCT3 than premenopausal women, and there was a dose-dependent reduction in OCT3 mRNA levels in SAT treated with E2. OCT3 mRNA levels were negatively associated with markers of insulin resistance, and ex vivo lipolysis. OCT3 SNPs were associated with BMI, waist to hip ratio, and circulating lipids (eg, triglycerides). CONCLUSION OCT3 mRNA and protein levels in SAT increased with aging, and mRNA levels were negatively associated with markers of insulin resistance. E2 incubation downregulated OCT3 mRNA levels, which may explain lower OCT3 mRNA in premenopausal vs postmenopausal women. High OCT3 protein levels in adipose tissue may result in increased catecholamine degradation, and this can contribute to the reduction in lipolysis observed in women with aging.
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Affiliation(s)
- Fozia Ahmed
- Department of Medical Sciences, Clinical Diabetology and Metabolism, Uppsala University, 751 85 Uppsala, Sweden
| | - Milica Vranic
- Department of Medical Sciences, Clinical Diabetology and Metabolism, Uppsala University, 751 85 Uppsala, Sweden
| | - Susanne Hetty
- Department of Medical Sciences, Clinical Diabetology and Metabolism, Uppsala University, 751 85 Uppsala, Sweden
| | - Argyri Mathioudaki
- Department of Medical Sciences, Clinical Diabetology and Metabolism, Uppsala University, 751 85 Uppsala, Sweden
| | - Vagia Patsoukaki
- Department of Medical Sciences, Clinical Diabetology and Metabolism, Uppsala University, 751 85 Uppsala, Sweden
| | - Giovanni Fanni
- Department of Medical Sciences, Clinical Diabetology and Metabolism, Uppsala University, 751 85 Uppsala, Sweden
| | - Maria J Pereira
- Department of Medical Sciences, Clinical Diabetology and Metabolism, Uppsala University, 751 85 Uppsala, Sweden
| | - Jan W Eriksson
- Department of Medical Sciences, Clinical Diabetology and Metabolism, Uppsala University, 751 85 Uppsala, Sweden
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47
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Benny M, Sharma M, Kulandavelu S, Chen P, Tian R, Ballengee S, Huang J, Levine AF, Claure M, Schmidt AF, Vazquez-Padron RI, Rodrigues CO, Wu S, Velazquez OC, Young KC. Protective role of CXCR7 activation in neonatal hyperoxia-induced systemic vascular remodeling and cardiovascular dysfunction in juvenile rats. Sci Rep 2023; 13:19538. [PMID: 37945645 PMCID: PMC10636097 DOI: 10.1038/s41598-023-46422-3] [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: 05/16/2023] [Accepted: 10/31/2023] [Indexed: 11/12/2023] Open
Abstract
Neonatal hyperoxia induces long-term systemic vascular stiffness and cardiovascular remodeling, but the mechanisms are unclear. Chemokine receptor 7 (CXCR7) represents a key regulator of vascular homeostasis and repair by modulating TGF-β1 signaling. This study investigated whether pharmacological CXCR7 agonism prevents neonatal hyperoxia-induced systemic vascular stiffness and cardiac dysfunction in juvenile rats. Newborn Sprague Dawley rat pups assigned to room air or hyperoxia (85% oxygen), received CXCR7 agonist, TC14012 or placebo for 3 weeks. These rat pups were maintained in room air until 6 weeks when aortic pulse wave velocity doppler, cardiac echocardiography, aortic and left ventricular (LV) fibrosis were assessed. Neonatal hyperoxia induced systemic vascular stiffness and cardiac dysfunction in 6-week-old rats. This was associated with decreased aortic and LV CXCR7 expression. Early treatment with TC14012, partially protected against neonatal hyperoxia-induced systemic vascular stiffness and improved LV dysfunction and fibrosis in juvenile rats by decreasing TGF-β1 expression. In vitro, hyperoxia-exposed human umbilical arterial endothelial cells and coronary artery endothelial cells had increased TGF-β1 levels. However, treatment with TC14012 significantly reduced the TGF-β1 levels. These results suggest that dysregulation of endothelial CXCR7 signaling may contribute to neonatal hyperoxia-induced systemic vascular stiffness and cardiac dysfunction.
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Affiliation(s)
- Merline Benny
- Department of Pediatrics, University of Miami Miller School of Medicine, 1580 NW 10Th Avenue, RM-344, Miami, FL, 33136, USA.
- Batchelor Children's Research Institute, University of Miami Miller School of Medicine, Miami, FL, USA.
| | - Mayank Sharma
- Department of Pediatrics, University of Miami Miller School of Medicine, 1580 NW 10Th Avenue, RM-344, Miami, FL, 33136, USA
- Batchelor Children's Research Institute, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Shathiyah Kulandavelu
- Department of Pediatrics, University of Miami Miller School of Medicine, 1580 NW 10Th Avenue, RM-344, Miami, FL, 33136, USA
- The Interdisciplinary Stem Cell Institute, University of Miami Miller School of Medicine, Miami, FL, USA
| | - PingPing Chen
- Department of Pediatrics, University of Miami Miller School of Medicine, 1580 NW 10Th Avenue, RM-344, Miami, FL, 33136, USA
- Batchelor Children's Research Institute, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Runxia Tian
- Department of Pediatrics, University of Miami Miller School of Medicine, 1580 NW 10Th Avenue, RM-344, Miami, FL, 33136, USA
- Batchelor Children's Research Institute, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Sydne Ballengee
- Department of Pediatrics, University of Miami Miller School of Medicine, 1580 NW 10Th Avenue, RM-344, Miami, FL, 33136, USA
- Batchelor Children's Research Institute, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Jiang Huang
- Department of Pediatrics, University of Miami Miller School of Medicine, 1580 NW 10Th Avenue, RM-344, Miami, FL, 33136, USA
- Batchelor Children's Research Institute, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Amanda F Levine
- Department of Pediatrics, University of Miami Miller School of Medicine, 1580 NW 10Th Avenue, RM-344, Miami, FL, 33136, USA
- Batchelor Children's Research Institute, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Matteo Claure
- Department of Pediatrics, University of Miami Miller School of Medicine, 1580 NW 10Th Avenue, RM-344, Miami, FL, 33136, USA
- Batchelor Children's Research Institute, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Augusto F Schmidt
- Department of Pediatrics, University of Miami Miller School of Medicine, 1580 NW 10Th Avenue, RM-344, Miami, FL, 33136, USA
- Batchelor Children's Research Institute, University of Miami Miller School of Medicine, Miami, FL, USA
| | | | - Claudia O Rodrigues
- The Interdisciplinary Stem Cell Institute, University of Miami Miller School of Medicine, Miami, FL, USA
- Department of Molecular and Cellular Pharmacology, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Shu Wu
- Department of Pediatrics, University of Miami Miller School of Medicine, 1580 NW 10Th Avenue, RM-344, Miami, FL, 33136, USA
- Batchelor Children's Research Institute, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Omaida C Velazquez
- Department of Surgery, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Karen C Young
- Department of Pediatrics, University of Miami Miller School of Medicine, 1580 NW 10Th Avenue, RM-344, Miami, FL, 33136, USA
- Batchelor Children's Research Institute, University of Miami Miller School of Medicine, Miami, FL, USA
- The Interdisciplinary Stem Cell Institute, University of Miami Miller School of Medicine, Miami, FL, USA
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48
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Nethander M, Movérare-Skrtic S, Kämpe A, Coward E, Reimann E, Grahnemo L, Borbély É, Helyes Z, Funck-Brentano T, Cohen-Solal M, Tuukkanen J, Koskela A, Wu J, Li L, Lu T, Gabrielsen ME, Mägi R, Hoff M, Lerner UH, Henning P, Ullum H, Erikstrup C, Brunak S, Langhammer A, Tuomi T, Oddsson A, Stefansson K, Pettersson-Kymmer U, Ostrowski SR, Pedersen OBV, Styrkarsdottir U, Mäkitie O, Hveem K, Richards JB, Ohlsson C. An atlas of genetic determinants of forearm fracture. Nat Genet 2023; 55:1820-1830. [PMID: 37919453 PMCID: PMC10632131 DOI: 10.1038/s41588-023-01527-3] [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: 01/27/2023] [Accepted: 09/13/2023] [Indexed: 11/04/2023]
Abstract
Osteoporotic fracture is among the most common and costly of diseases. While reasonably heritable, its genetic determinants have remained elusive. Forearm fractures are the most common clinically recognized osteoporotic fractures with a relatively high heritability. To establish an atlas of the genetic determinants of forearm fractures, we performed genome-wide association analyses including 100,026 forearm fracture cases. We identified 43 loci, including 26 new fracture loci. Although most fracture loci associated with bone mineral density, we also identified loci that primarily regulate bone quality parameters. Functional studies of one such locus, at TAC4, revealed that Tac4-/- mice have reduced mechanical bone strength. The strongest forearm fracture signal, at WNT16, displayed remarkable bone-site-specificity with no association with hip fractures. Tall stature and low body mass index were identified as new causal risk factors for fractures. The insights from this atlas may improve fracture prediction and enable therapeutic development to prevent fractures.
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Grants
- Wellcome Trust
- IngaBritt och Arne Lundbergs Forskningsstiftelse (Ingabritt and Arne Lundberg Research Foundation)
- Novo Nordisk Fonden (Novo Nordisk Foundation)
- Knut och Alice Wallenbergs Stiftelse (Knut and Alice Wallenberg Foundation)
- the Swedish state under the agreement between the Swedish government and the county councils, the ALF-agreement (ALFGBG-720331 and ALFGBG-965235)
- the Hungarian Brain research Program 3.0, Hungarian National Research, Development and Innovation Office (OTKA K- 138046, OTKA FK-137951, TKP2021-EGA-16), New National Excellence Program of the Ministry for Innovation and Technology (ÚNKP-22-5-PTE-1447), János Bolyai János Scholarship (BO/00496/21/5) of the Hungarian Academy of Sciences, Eotvos Lorad Research Network, National Laboratory for Drug Research and Development.
- Vetenskapsrådet (Swedish Research Council)
- Svenska Läkaresällskapet (Swedish Society of Medicine)
- Kempestiftelserna (Kempe Foundations)
- the Swedish Sports Research Council (87/06) the Medical Faculty of Umeå University (ALFVLL:968:22-2005, ALFVLL: 937-2006, ALFVLL:223:11-2007, ALFVLL:78151-2009) the county council of Västerbotten (Spjutspetsanslag VLL:159:33-2007)
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Affiliation(s)
- Maria Nethander
- Department of Internal Medicine and Clinical Nutrition, Institute of Medicine, Sahlgrenska Osteoporosis Centre, Centre for Bone and Arthritis Research at the Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Bioinformatics Core Facility, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Sofia Movérare-Skrtic
- Department of Internal Medicine and Clinical Nutrition, Institute of Medicine, Sahlgrenska Osteoporosis Centre, Centre for Bone and Arthritis Research at the Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Anders Kämpe
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland
| | - Eivind Coward
- K.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, NTNU, Norwegian University of Science and Technology, Trondheim, Norway
| | - Ene Reimann
- Estonian Genome Center, Institute of Genomics, University of Tartu, Tartu, Estonia
| | - Louise Grahnemo
- Department of Internal Medicine and Clinical Nutrition, Institute of Medicine, Sahlgrenska Osteoporosis Centre, Centre for Bone and Arthritis Research at the Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Éva Borbély
- Department of Pharmacology and Pharmacotherapy, Medical School, University of Pécs, Pécs, Hungary
- National Laboratory for Drug Research and Development, Budapest, Hungary
| | - Zsuzsanna Helyes
- Department of Pharmacology and Pharmacotherapy, Medical School, University of Pécs, Pécs, Hungary
- National Laboratory for Drug Research and Development, Budapest, Hungary
- Eotvos Lorand Research Network, Chronic Pain Research Group, University of Pécs, Pécs, Hungary
| | - Thomas Funck-Brentano
- BIOSCAR UMRS 1132, Université Paris Diderot, Sorbonne Paris Cité, INSERM, Paris, France
| | - Martine Cohen-Solal
- BIOSCAR UMRS 1132, Université Paris Diderot, Sorbonne Paris Cité, INSERM, Paris, France
| | - Juha Tuukkanen
- Department of Anatomy and Cell Biology, Faculty of Medicine, Institute of Cancer Research and Translational Medicine, University of Oulu, Oulu, Finland
| | - Antti Koskela
- Department of Anatomy and Cell Biology, Faculty of Medicine, Institute of Cancer Research and Translational Medicine, University of Oulu, Oulu, Finland
| | - Jianyao Wu
- Department of Internal Medicine and Clinical Nutrition, Institute of Medicine, Sahlgrenska Osteoporosis Centre, Centre for Bone and Arthritis Research at the Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Lei Li
- Department of Internal Medicine and Clinical Nutrition, Institute of Medicine, Sahlgrenska Osteoporosis Centre, Centre for Bone and Arthritis Research at the Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Tianyuan Lu
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montreal, Quebec, Canada
| | - Maiken E Gabrielsen
- K.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, NTNU, Norwegian University of Science and Technology, Trondheim, Norway
| | - Reedik Mägi
- Estonian Genome Center, Institute of Genomics, University of Tartu, Tartu, Estonia
| | - Mari Hoff
- Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology, Trondheim, Norway
- Department of Rheumatology, St Olavs Hospital, Trondheim, Norway
| | - Ulf H Lerner
- Department of Internal Medicine and Clinical Nutrition, Institute of Medicine, Sahlgrenska Osteoporosis Centre, Centre for Bone and Arthritis Research at the Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Petra Henning
- Department of Internal Medicine and Clinical Nutrition, Institute of Medicine, Sahlgrenska Osteoporosis Centre, Centre for Bone and Arthritis Research at the Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | | | - Christian Erikstrup
- Department of Clinical Immunology, Aarhus University Hospital, Aarhus, Denmark
- Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
| | - Søren Brunak
- Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | | | - Tiinamaija Tuomi
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland
- Folkhälsan Research Center, Helsinki, Finland
- Lund University Diabetes Centre, Department of Clinical Sciences, Lund University, Malmö, Sweden
- Department of Endocrinology, Abdominal Center, Helsinki University Hospital, Helsinki, Finland
- Research Program for Clinical and Molecular Metabolism, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | | | - Kari Stefansson
- deCODE genetics, Reykjavik, Iceland
- Faculty of Medicine, University of Iceland, Reykjavik, Iceland
| | | | - Sisse Rye Ostrowski
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Department of Clinical Immunology, Copenhagen Hospital Biobank Unit, Copenhagen University Hospital Rigshospitalet, Copenhagen, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Science, University of Copenhagen, Copenhagen, Denmark
| | - Ole Birger Vesterager Pedersen
- Department of Clinical Medicine, Faculty of Health and Medical Science, University of Copenhagen, Copenhagen, Denmark
- Department of Clinical Immunology, Zealand University Hospital, Koege, Denmark
| | | | - Outi Mäkitie
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden
- Research Program for Clinical and Molecular Metabolism, Faculty of Medicine, University of Helsinki, Helsinki, Finland
- Folkhälsan Institute of Genetics, Helsinki, Finland
- Children's Hospital and Pediatric Research Center, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
| | - Kristian Hveem
- K.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, NTNU, Norwegian University of Science and Technology, Trondheim, Norway
- HUNT Research Centre, Department of Public Health and Nursing, Norwegian University of Science and Technology, and Levanger Hospital, Nord-Trøndelag Hospital Trust, Levanger, Norway
| | - J Brent Richards
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montreal, Quebec, Canada
- Department of Human Genetics, McGill University, Montreal, Quebec, Canada
- Department of Twin Research and Genetic Epidemiology, King's College London, London, UK
| | - Claes Ohlsson
- Department of Internal Medicine and Clinical Nutrition, Institute of Medicine, Sahlgrenska Osteoporosis Centre, Centre for Bone and Arthritis Research at the Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.
- Region Västra Götaland, Sahlgrenska University Hospital, Department of Drug Treatment, Gothenburg, Sweden.
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49
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Sakkers TR, Mokry M, Civelek M, Erdmann J, Pasterkamp G, Diez Benavente E, den Ruijter HM. Sex differences in the genetic and molecular mechanisms of coronary artery disease. Atherosclerosis 2023; 384:117279. [PMID: 37805337 DOI: 10.1016/j.atherosclerosis.2023.117279] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/11/2023] [Revised: 05/09/2023] [Accepted: 09/01/2023] [Indexed: 10/09/2023]
Abstract
Sex differences in coronary artery disease (CAD) presentation, risk factors and prognosis have been widely studied. Similarly, studies on atherosclerosis have shown prominent sex differences in plaque biology. Our understanding of the underlying genetic and molecular mechanisms that drive these differences remains fragmented and largely understudied. Through reviewing genetic and epigenetic studies, we identified more than 40 sex-differential candidate genes (13 within known CAD loci) that may explain, at least in part, sex differences in vascular remodeling, lipid metabolism and endothelial dysfunction. Studies with transcriptomic and single-cell RNA sequencing data from atherosclerotic plaques highlight potential sex differences in smooth muscle cell and endothelial cell biology. Especially, phenotypic switching of smooth muscle cells seems to play a crucial role in female atherosclerosis. This matches the known sex differences in atherosclerotic phenotypes, with men being more prone to lipid-rich plaques, while women are more likely to develop fibrous plaques with endothelial dysfunction. To unravel the complex mechanisms that drive sex differences in CAD, increased statistical power and adjustments to study designs and analysis strategies are required. This entails increasing inclusion rates of women, performing well-defined sex-stratified analyses and the integration of multi-omics data.
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Affiliation(s)
- Tim R Sakkers
- Laboratory of Experimental Cardiology, University Medical Center Utrecht, Utrecht University, Heidelberglaan 100, 3508, GA, Utrecht, the Netherlands
| | - Michal Mokry
- Laboratory of Experimental Cardiology, University Medical Center Utrecht, Utrecht University, Heidelberglaan 100, 3508, GA, Utrecht, the Netherlands; Central Diagnostic Laboratory, University Medical Center Utrecht, Utrecht University, Heidelberglaan 100, 3508, GA, Utrecht, the Netherlands
| | - Mete Civelek
- Center for Public Health Genomics, University of Virginia, 1335 Lee St, Charlottesville, VA, 22908, USA; Department of Biomedical Engineering, University of Virginia, 351 McCormick Road, Charlottesville, VA, 22904, USA
| | - Jeanette Erdmann
- Institute for Cardiogenetics, University of Lübeck, Ratzeburger Allee 160, 23562, Lübeck, Germany
| | - Gerard Pasterkamp
- Central Diagnostic Laboratory, University Medical Center Utrecht, Utrecht University, Heidelberglaan 100, 3508, GA, Utrecht, the Netherlands
| | - Ernest Diez Benavente
- Laboratory of Experimental Cardiology, University Medical Center Utrecht, Utrecht University, Heidelberglaan 100, 3508, GA, Utrecht, the Netherlands
| | - Hester M den Ruijter
- Laboratory of Experimental Cardiology, University Medical Center Utrecht, Utrecht University, Heidelberglaan 100, 3508, GA, Utrecht, the Netherlands.
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50
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Upadhyaya B, Wang Y, Bruckel J, Block RC. Frequency of lipoprotein(a) measurements in patients with or at risk of cardiovascular disease. J Clin Lipidol 2023; 17:743-747. [PMID: 37783648 DOI: 10.1016/j.jacl.2023.09.009] [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: 02/16/2023] [Revised: 08/31/2023] [Accepted: 09/13/2023] [Indexed: 10/04/2023]
Abstract
Knowledge of lipoprotein(a) measurement in community practice is limited. The objective of this study is to evaluate the frequency of Lp(a) screening across the University of Rochester Medical Center (URMC). Descriptive data were collected for all URMC patients >= 18 years old who have had at least one Lp(a) measurement from January 2011 to August 2022 from the URMC electronic health record (EHR). Cardiovascular diagnoses were queried to define yearly frequency and demographic information. We identified 2,698 patients with at least one Lp(a) result. An increasing number of patients were tested per year. There were more women than men, and about 11% having more than one Lp(a) measured with the majority having a level <30 mg/dL (the normal-range in the UMRC lab). The majority do not have a listed diagnosis of cerebral infarction, peripheral vascular disease, myocardial infarction, coronary artery disease, or aortic stenosis. Across URMC, there has been a steady increase of Lp(a) measurements in the past several years.
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Affiliation(s)
- Bhavana Upadhyaya
- Medical School (Dr Upadhyaya), University of Rochester School of Medicine and Dentistry, Rochester, NY, United States
| | - Ying Wang
- Department of Public Health Sciences (Dr Wang), University of Rochester School of Medicine and Dentistry, Rochester, NY, United States
| | - Jeffrey Bruckel
- Cardiology Division (Dr Bruckel), Department of Medicine, University of Rochester School of Medicine and Dentistry, Rochester, NY, United States
| | - Robert C Block
- Department of Public Health Sciences (Dr Block), Cardiology Division, Department of Medicine, University of Rochester School of Medicine and Dentistry, Rochester, NY, United States.
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