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Zhu Z, Geng Y, Ma L, Yao K, Chang R, Ma Y, Li J. Association between CBS gene T833C, G919A and 844ins68 polymorphisms in the 8th exon region and coronary artery disease: a meta-analysis. Clin Exp Hypertens 2024; 46:2328147. [PMID: 38488417 DOI: 10.1080/10641963.2024.2328147] [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: 06/02/2023] [Accepted: 03/01/2024] [Indexed: 03/19/2024]
Abstract
BACKGROUND Several studies indicate that the cystathionine β-synthase (CBS) gene T833C, G919A and 844ins68 polymorphisms in the 8th exon region may be correlated with coronary artery disease (CAD) susceptibility, but the results have been inconsistent and inconclusive. Thus, a meta-analysis was conducted to provide a comprehensive estimate of these associations. METHODS On the basis of searches in the PubMed, EMBASE, Cochrane Library, Wanfang, VIP, and CNKI databases, we selected 14 case - control studies including 2123 cases and 2368 controls for this meta-analysis. Pooled odds ratios (ORs) with 95% confidence intervals (CIs) were calculated accordingly using a fixed-effect or random-effect model. RESULTS The results indicated an increased risk between the CBS T833C gene polymorphisms and susceptibility to CAD under the dominant model (CC+CT vs. TT: OR = 1.92, 95% CI: 1.11 ~ 3.32), recessive model (CC vs. CT+TT: OR = 1.88, 95% CI: 1.17 ~ 3.03), and homozygous model (CC vs. TT: OR = 2.46, 95% CI: 1.04 ~ 5.83). In these three genetic models, no significant association was identified for CBS G919A (AA+AG vs. GG: OR = 1.48, 95% CI: 0.45 ~ 4.82),(AA vs. AG+GG: OR = 1.58, 95% CI: 0.93 ~ 2.70),(AA vs. GG: OR = 1.66, 95% CI: 0.40 ~ 6.92) or CBS 844ins68 (II+ID vs. DD: OR = 1.04, 95% CI: 0.80 ~ 1.35),(II vs. ID+DD: OR = 1.09, 95% CI: 0.51 ~ 2.36),(II vs. DD: OR = 1.10, 95% CI: 0.51 ~ 2.39). CONCLUSIONS This meta-analysis suggests that the CBS T833C gene polymorphism is significantly associated with the risk of CAD and it shows a stronger association in Asian populations. Individuals with the C allele of the CBS gene T833C polymorphism might be particularly susceptible to CAD.
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Affiliation(s)
- Zijiang Zhu
- Department of thoracic surgery, Gansu Provincial Central Hospital (Gansu Provincial Maternity and Child-care Hospital), Lanzhou, China
| | - Yuhan Geng
- School of Clinical Medicine, Ningxia Medical University, Yinchuan, China
| | - Long Ma
- Department of thoracic surgery, Gansu Provincial Central Hospital (Gansu Provincial Maternity and Child-care Hospital), Lanzhou, China
- Department of thoracic surgery, Gansu University of Chinese Medicine, Lanzhou, China
| | - Keying Yao
- School of Second Clinical Medical, Lanzhou University, Lanzhou, China
| | - Ruitong Chang
- Department of thoracic surgery, Gansu Provincial Central Hospital (Gansu Provincial Maternity and Child-care Hospital), Lanzhou, China
| | - Yongming Ma
- Department of thoracic surgery, Gansu Provincial Central Hospital (Gansu Provincial Maternity and Child-care Hospital), Lanzhou, China
- Department of thoracic surgery, Gansu University of Chinese Medicine, Lanzhou, China
| | - Jialong Li
- Department of thoracic surgery, Gansu Provincial Central Hospital (Gansu Provincial Maternity and Child-care Hospital), Lanzhou, China
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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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Aherrahrou N, Tairi H, Aherrahrou Z. Genomic privacy preservation in genome-wide association studies: taxonomy, limitations, challenges, and vision. Brief Bioinform 2024; 25:bbae356. [PMID: 39073827 DOI: 10.1093/bib/bbae356] [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: 01/24/2024] [Revised: 06/19/2024] [Accepted: 07/12/2024] [Indexed: 07/30/2024] Open
Abstract
Genome-wide association studies (GWAS) serve as a crucial tool for identifying genetic factors associated with specific traits. However, ethical constraints prevent the direct exchange of genetic information, prompting the need for privacy preservation solutions. To address these issues, earlier works are based on cryptographic mechanisms such as homomorphic encryption, secure multi-party computing, and differential privacy. Very recently, federated learning has emerged as a promising solution for enabling secure and collaborative GWAS computations. This work provides an extensive overview of existing methods for GWAS privacy preserving, with the main focus on collaborative and distributed approaches. This survey provides a comprehensive analysis of the challenges faced by existing methods, their limitations, and insights into designing efficient solutions.
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Affiliation(s)
- Noura Aherrahrou
- LISAC, Department of Computer Science, Faculty of Sciences Dhar El Mahraz, University Sidi Mohamed Ben Abdellah, B.P. 1796 - Atlas, 30003, Fez, Morocco
| | - Hamid Tairi
- LISAC, Department of Computer Science, Faculty of Sciences Dhar El Mahraz, University Sidi Mohamed Ben Abdellah, B.P. 1796 - Atlas, 30003, Fez, Morocco
| | - Zouhair Aherrahrou
- Institute for Cardiogenetics, Universität zu Lübeck, D-23562 Lübeck, Germany
- DZHK (German Centre for Cardiovascular Research), Partner Site Hamburg/Kiel/Lübeck, Germany
- University Heart Centre Lübeck, D-23562 Lübeck, Germany
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4
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Hartwell EE, Jinwala Z, Milone J, Ramirez S, Gelernter J, Kranzler HR, Kember RL. Application of polygenic scores to a deeply phenotyped sample enriched for substance use disorders reveals extensive pleiotropy with psychiatric and somatic traits. Neuropsychopharmacology 2024:10.1038/s41386-024-01922-2. [PMID: 39043921 DOI: 10.1038/s41386-024-01922-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/22/2024] [Revised: 06/07/2024] [Accepted: 06/28/2024] [Indexed: 07/25/2024]
Abstract
Co-occurring psychiatric, medical, and substance use disorders (SUDs) are common, but the complex pathways leading to such comorbidities are poorly understood. A greater understanding of genetic influences on this phenomenon could inform precision medicine efforts. We used the Yale-Penn dataset, a cross-sectional sample enriched for individuals with SUDs, to examine pleiotropic effects of genetic liability for psychiatric and somatic traits. Participants completed an in-depth interview that provides information on demographics, environment, medical illnesses, and psychiatric and SUDs. Polygenic scores (PGS) for psychiatric disorders and somatic traits were calculated in European-ancestry (EUR; n = 5691) participants and, when discovery datasets were available, for African-ancestry (AFR; n = 4918) participants. Phenome-wide association studies (PheWAS) were then conducted. In AFR participants, the only PGS with significant associations was bipolar disorder (BD), all of which were with substance use phenotypes. In EUR participants, PGS for major depressive disorder (MDD), generalized anxiety disorder (GAD), post-traumatic stress disorder (PTSD), schizophrenia (SCZ), body mass index (BMI), coronary artery disease (CAD), and type 2 diabetes (T2D) all showed significant associations, the majority of which were with phenotypes in the substance use categories. For instance, PGSMDD was associated with over 200 phenotypes, 15 of which were depression-related (e.g., depression criterion count), 55 of which were other psychiatric phenotypes, and 126 of which were substance use phenotypes; and PGSBMI was associated with 138 phenotypes, 105 of which were substance related. Genetic liability for psychiatric and somatic traits is associated with numerous phenotypes across multiple categories, indicative of the broad genetic liability of these traits.
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Affiliation(s)
- Emily E Hartwell
- Crescenz VA Medical Center, Philadelphia, PA, USA
- University of Pennsylvania, Philadelphia, PA, USA
| | - Zeal Jinwala
- Crescenz VA Medical Center, Philadelphia, PA, USA
- University of Pennsylvania, Philadelphia, PA, USA
| | | | | | - Joel Gelernter
- West Haven VA Medical Center, West Haven, CT, USA
- Yale University, New Haven, CT, USA
| | - Henry R Kranzler
- Crescenz VA Medical Center, Philadelphia, PA, USA
- University of Pennsylvania, Philadelphia, PA, USA
| | - Rachel L Kember
- Crescenz VA Medical Center, Philadelphia, PA, USA.
- University of Pennsylvania, Philadelphia, PA, USA.
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5
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Weldy CS, Li Q, Monteiro JP, Guo H, Galls D, Gu W, Cheng PP, Ramste M, Li D, Palmisano BT, Sharma D, Worssam MD, Zhao Q, Bhate A, Kundu RK, Nguyen T, Li JB, Quertermous T. Smooth muscle expression of RNA editing enzyme ADAR1 controls vascular integrity and progression of atherosclerosis. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.07.08.602569. [PMID: 39026721 PMCID: PMC11257488 DOI: 10.1101/2024.07.08.602569] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/20/2024]
Abstract
Mapping the genomic architecture of complex disease has been predicated on the understanding that genetic variants influence disease risk through modifying gene expression. However, recent discoveries have revealed that a significant burden of disease heritability in common autoinflammatory disorders and coronary artery disease is mediated through genetic variation modifying post-transcriptional modification of RNA through adenosine-to-inosine (A-to-I) RNA editing. This common RNA modification is catalyzed by ADAR enzymes, where ADAR1 edits specific immunogenic double stranded RNA (dsRNA) to prevent activation of the double strand RNA (dsRNA) sensor MDA5 ( IFIH1 ) and stimulation of an interferon stimulated gene (ISG) response. Multiple lines of human genetic data indicate impaired RNA editing and increased dsRNA sensing to be an important mechanism of coronary artery disease (CAD) risk. Here, we provide a crucial link between observations in human genetics and mechanistic cell biology leading to progression of CAD. Through analysis of human atherosclerotic plaque, we implicate the vascular smooth muscle cell (SMC) to have a unique requirement for RNA editing, and that ISG induction occurs in SMC phenotypic modulation, implicating MDA5 activation. Through culture of human coronary artery SMCs, generation of a conditional SMC specific Adar1 deletion mouse model on a pro-atherosclerosis background, and with incorporation of single cell RNA sequencing cellular profiling, we further show that Adar1 controls SMC phenotypic state, is required to maintain vascular integrity, and controls progression of atherosclerosis and vascular calcification. Through this work, we describe a fundamental mechanism of CAD, where cell type and context specific RNA editing and sensing of dsRNA mediates disease progression, bridging our understanding of human genetics and disease causality.
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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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Chen F, Dong X, Yu Z, Zhang Y, Shi Y. The brain-heart axis: Integrative analysis of the shared genetic etiology between neuropsychiatric disorders and cardiovascular disease. J Affect Disord 2024; 355:147-156. [PMID: 38518856 DOI: 10.1016/j.jad.2024.03.098] [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: 02/09/2024] [Revised: 03/16/2024] [Accepted: 03/19/2024] [Indexed: 03/24/2024]
Abstract
BACKGROUND Multiple observational studies have reported substantial comorbidity between neuropsychiatric disorders and cardiovascular disease (CVD), but the underlying mechanisms remain largely unknown. METHODS Using GWAS summary datasets of 8 neuropsychiatric disorders and 6 cardiovascular diseases, an integrative analysis incorporating linkage-disequilibrium-score-regression (LDSC), Mendelian randomization (MR), functional mapping and annotation (FUMA), and functional enrichment analysis, was conducted to investigate shared genetic etiology of the brain-heart axis from the whole genome level, single-nucleotide polymorphism (SNP) level, gene level, and biological pathway level. RESULTS In LDSC analysis, 18 pairwise traits between neuropsychiatric disorders and CVD were identified with significant genetic overlaps, revealing extensive genome-wide genetic correlations. In bidirectional MR analysis, 19 pairwise traits were identified with significant causal relationships. Genetic liabilities to neuropsychiatric disorders, particularly attention-deficit hyperactivity disorder and major depressive disorder, conferred extensive significant causal effects on the risk of CVD, while hypertension seemed to be a risk factor for multiple neuropsychiatric disorders, with no significant heterogeneity or pleiotropy. In FUMA analysis, 13 shared independent significant SNPs and 887 overlapping protein-coding genes were detected between neuropsychiatric disorders and CVD. With GO and KEEG functional enrichment analysis, biological pathways of the brain-heart axis were highly concentrated in neurotransmitter synaptic transmission, lipid metabolism, aldosterone synthesis and secretion, glutathione metabolism, and MAPK signaling pathway. CONCLUSION Extensive genetic correlations and genetic overlaps between neuropsychiatric disorders and CVD were identified in this study, which might provide some new insights into the brain-heart axis and the therapeutic targets in clinical practice.
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Affiliation(s)
- Feifan Chen
- Department of Neonatology, Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Child Rare Diseases in Infection and Immunity, Chongqing 400014, China.
| | - Xinyu Dong
- Department of Neurosurgery, Ministry of Education Key Laboratory of Child Development and Disorders, National Clinical Research Center for Child Health and Disorders, Chongqing Key Laboratory of Pediatrics, Children's Hospital of Chongqing Medical University, Chongqing 400014, China.
| | - Zhiwei Yu
- Department of Neurology, Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Child Neurodevelopment and Cognitive Disorders, Chongqing 400014, China.
| | - Yihan Zhang
- Department of Neonatology, Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Child Rare Diseases in Infection and Immunity, Chongqing 400014, China.
| | - Yuan Shi
- Department of Neonatology, Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Child Rare Diseases in Infection and Immunity, Chongqing 400014, China.
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8
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Posadas-Sánchez R, Velázquez-Sánchez F, Reyes-Barrera J, Cardoso-Saldaña G, Velázquez-Argueta F, Antonio-Villa NE, Fragoso JM, Vargas-Alarcón G. MCP-1 rs1024611 Polymorphism, MCP-1 Concentrations, and Premature Coronary Artery Disease: Results of the Genetics of Atherosclerotic Disease (GEA) Mexican Study. Biomedicines 2024; 12:1292. [PMID: 38927499 PMCID: PMC11201762 DOI: 10.3390/biomedicines12061292] [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: 04/22/2024] [Revised: 05/24/2024] [Accepted: 05/26/2024] [Indexed: 06/28/2024] Open
Abstract
Monocyte chemoattractant protein-1 (MCP-1) participates in the initiation and progression of atherosclerosis. In vitro studies have reported that the MCP-1 rs1024611 polymorphism is associated with increased MCP-1 concentrations. The study aimed to define whether MCP-1 concentrations are associated with premature coronary artery disease (pCAD) and to establish whether variations in the rs1024611 polymorphism increase MCP-1 concentrations. MCP-1 rs1024611 polymorphism was determined in 972 pCAD patients and 1070 control individuals by real-time PCR. MCP-1 concentrations were determined by the Bio-Plex system. In the total population, men had higher MCP-1 concentrations when compared to women (p < 0.001). When stratified by rs1024611 genotypes, higher MCP-1 concentrations were observed in AA individuals compared to GG subjects (p = 0.023). When performing the analysis considering sex, the differences remained significant in women (AA vs. GG, p = 0.028 and GA vs. GG, p = 0.008). MCP-1 concentrations were similar in pCAD patients and controls (p = 0.782). However, the independent analysis of the studied groups showed that in patients with the AA genotype, MCP-1 concentrations were significantly higher when compared to patients with the GG genotype (p = 0.009). Considering that the AA genotype increases MCP-1 concentration, we evaluated whether, in AA genotype carriers, MCP-1 concentrations were associated with pCAD. The results showed that for every ten pg/mL increase in MCP-1 concentration, the risk of presenting pCAD increases by 2.7% in AA genotype individuals. Individuals with the MCP-1 rs1024611 AA genotype present an increase in MCP-1 concentration. In those individuals, increased MCP-1 concentrations increase the risk of presented pCAD.
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Affiliation(s)
- Rosalinda Posadas-Sánchez
- Department of Endocrinology, Instituto Nacional de Cardiología Ignacio Chávez, Mexico City 14080, Mexico; (R.P.-S.); (F.V.-S.); (J.R.-B.); (G.C.-S.); (F.V.-A.); (N.E.A.-V.)
| | - Fernando Velázquez-Sánchez
- Department of Endocrinology, Instituto Nacional de Cardiología Ignacio Chávez, Mexico City 14080, Mexico; (R.P.-S.); (F.V.-S.); (J.R.-B.); (G.C.-S.); (F.V.-A.); (N.E.A.-V.)
| | - Juan Reyes-Barrera
- Department of Endocrinology, Instituto Nacional de Cardiología Ignacio Chávez, Mexico City 14080, Mexico; (R.P.-S.); (F.V.-S.); (J.R.-B.); (G.C.-S.); (F.V.-A.); (N.E.A.-V.)
| | - Guillermo Cardoso-Saldaña
- Department of Endocrinology, Instituto Nacional de Cardiología Ignacio Chávez, Mexico City 14080, Mexico; (R.P.-S.); (F.V.-S.); (J.R.-B.); (G.C.-S.); (F.V.-A.); (N.E.A.-V.)
| | - Frida Velázquez-Argueta
- Department of Endocrinology, Instituto Nacional de Cardiología Ignacio Chávez, Mexico City 14080, Mexico; (R.P.-S.); (F.V.-S.); (J.R.-B.); (G.C.-S.); (F.V.-A.); (N.E.A.-V.)
| | - Neftali Eduardo Antonio-Villa
- Department of Endocrinology, Instituto Nacional de Cardiología Ignacio Chávez, Mexico City 14080, Mexico; (R.P.-S.); (F.V.-S.); (J.R.-B.); (G.C.-S.); (F.V.-A.); (N.E.A.-V.)
| | - José Manuel Fragoso
- Department of Molecular Biology, Instituto Nacional de Cardiología Ignacio Chávez, Mexico City 14080, Mexico;
| | - Gilberto Vargas-Alarcón
- Department of Molecular Biology, Instituto Nacional de Cardiología Ignacio Chávez, Mexico City 14080, Mexico;
- Research Direction, Instituto Nacional de Cardiología Ignacio Chávez, Mexico City 14080, Mexico
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9
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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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10
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Ding D, Zhao Y, Jia Y, Niu M, Li X, Zheng X, Chen H. Identification of novel genes associated with atherosclerosis in Bama miniature pig. Animal Model Exp Med 2024; 7:377-387. [PMID: 38720469 PMCID: PMC11228093 DOI: 10.1002/ame2.12412] [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: 12/28/2023] [Accepted: 03/20/2024] [Indexed: 07/09/2024] Open
Abstract
BACKGROUND Atherosclerosis is a chronic cardiovascular disease of great concern. However, it is difficult to establish a direct connection between conventional small animal models and clinical practice. The pig's genome, physiology, and anatomy reflect human biology better than other laboratory animals, which is crucial for studying the pathogenesis of atherosclerosis. METHODS We used whole-genome sequencing data from nine Bama minipigs to perform a genome-wide linkage analysis, and further used bioinformatic tools to filter and identify underlying candidate genes. Candidate gene function prediction was performed using the online prediction tool STRING 12.0. Immunohistochemistry and immunofluorescence were used to detect the expression of proteins encoded by candidate genes. RESULTS We mapped differential single nucleotide polymorphisms (SNPs) to genes and obtained a total of 102 differential genes, then we used GO and KEGG pathway enrichment analysis to identify four candidate genes, including SLA-1, SLA-2, SLA-3, and TAP2. nsSNPs cause changes in the primary and tertiary structures of SLA-I and TAP2 proteins, the primary structures of these two proteins have undergone amino acid changes, and the tertiary structures also show slight changes. In addition, immunohistochemistry and immunofluorescence results showed that the expression changes of TAP2 protein in coronary arteries showed a trend of increasing from the middle layer to the inner layer. CONCLUSIONS We have identified SLA-I and TAP2 as potential susceptibility genes of atherosclerosis, highlighting the importance of antigen processing and immune response in atherogenesis.
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Affiliation(s)
- Dengfeng Ding
- Laboratory Animal CenterChinese PLA General HospitalBeijingChina
| | - Yuqiong Zhao
- Laboratory Animal CenterChinese PLA General HospitalBeijingChina
| | - Yunxiao Jia
- Laboratory Animal CenterChinese PLA General HospitalBeijingChina
| | - Miaomiao Niu
- Laboratory Animal CenterChinese PLA General HospitalBeijingChina
| | - Xuezhuang Li
- Laboratory Animal CenterChinese PLA General HospitalBeijingChina
| | - Xinou Zheng
- Laboratory Animal CenterChinese PLA General HospitalBeijingChina
| | - Hua Chen
- Laboratory Animal CenterChinese PLA General HospitalBeijingChina
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11
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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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12
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Dimitriou M, Moulos P, Kalafati IP, Saranti G, Rallidis LS, Dedoussis GV. Evaluation of Polygenic Risk Scores for Prediction of Coronary Artery Disease in a Greek Case-Control Study. J Pers Med 2024; 14:565. [PMID: 38929788 PMCID: PMC11204902 DOI: 10.3390/jpm14060565] [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: 04/29/2024] [Revised: 05/23/2024] [Accepted: 05/24/2024] [Indexed: 06/28/2024] Open
Abstract
Coronary artery disease (CAD) stands as the most predominant type of cardiovascular disease (CVD). Polygenic risk scores (PRSs) have become essential tools for quantifying genetic susceptibility, and researchers endeavor to improve their predictive precision. The aim of the present work is to assess the performance and the relative contribution of PRSs developed for CVD or CAD within a Greek population. The sample under study comprised 924 Greek individuals (390 cases with CAD and 534 controls) from the THISEAS study. Nine PRSs drawn from the PGS catalog were replicated and tested for CAD risk prediction. PRSs computations were performed in the R language, and snpStats was used to process genotypic data. Descriptive characteristics of the study were analyzed using the statistical software IBM SPSS Statistics v21.0. The effectiveness of each PRS was assessed using the PRS R2 metric provided by PRSice2. Among nine PRSs, PGS000747 greatly increased the predictive value of primary CAD risk factors by 21.6% (p-value = 2.63 × 10-25). PGS000012 was associated with a modest increase in CAD risk by 2.2% (p-value = 9.58 × 10-4). The remarkable risk discrimination capability of PGS000747 stands out as the most noteworthy outcome of our study.
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Affiliation(s)
- Maria Dimitriou
- Department of Nutritional Science and Dietetics, School of Health Science, University of the Peloponnese, Antikalamos, 24100 Kalamata, Greece
| | - Panagiotis Moulos
- Institute for Fundamental Biomedical Research, Biomedical Sciences Research Center ‘Alexander Fleming’, 16672 Vari, Greece
| | - Ioanna Panagiota Kalafati
- Department of Nutrition and Dietetics, School of Physical Education, Sport Science and Dietetics, University of Thessaly, 42132 Trikala, Greece;
- Department of Nutrition and Dietetics, School of Health Science and Education, Harokopio University, 17671 Athens, Greece; (G.S.); (G.V.D.)
| | - Georgia Saranti
- Department of Nutrition and Dietetics, School of Health Science and Education, Harokopio University, 17671 Athens, Greece; (G.S.); (G.V.D.)
| | - Loukianos S. Rallidis
- Second Department of Cardiology, Medical School, National and Kapodistrian University of Athens, Attikon Hospital, 12462 Athens, Greece;
| | - George V. Dedoussis
- Department of Nutrition and Dietetics, School of Health Science and Education, Harokopio University, 17671 Athens, Greece; (G.S.); (G.V.D.)
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13
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Brown SD, Klimi E, Bakker WAM, Beqqali A, Baker AH. Non-coding RNAs to treat vascular smooth muscle cell dysfunction. Br J Pharmacol 2024. [PMID: 38773733 DOI: 10.1111/bph.16409] [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: 11/17/2023] [Revised: 02/19/2024] [Accepted: 03/14/2024] [Indexed: 05/24/2024] Open
Abstract
Vascular smooth muscle cell (vSMC) dysfunction is a critical contributor to cardiovascular diseases, including atherosclerosis, restenosis and vein graft failure. Recent advances have unveiled a fascinating range of non-coding RNAs (ncRNAs) that play a pivotal role in regulating vSMC function. This review aims to provide an in-depth analysis of the mechanisms underlying vSMC dysfunction and the therapeutic potential of various ncRNAs in mitigating this dysfunction, either preventing or reversing it. We explore the intricate interplay of microRNAs, long-non-coding RNAs and circular RNAs, shedding light on their roles in regulating key signalling pathways associated with vSMC dysfunction. We also discuss the prospects and challenges associated with developing ncRNA-based therapies for this prevalent type of cardiovascular pathology.
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Affiliation(s)
- Simon D Brown
- BHF Centre for Cardiovascular Science, Queens Medical Research Institute, University of Edinburgh, Edinburgh, UK
| | - Eftychia Klimi
- BHF Centre for Cardiovascular Science, Queens Medical Research Institute, University of Edinburgh, Edinburgh, UK
| | | | - Abdelaziz Beqqali
- BHF Centre for Cardiovascular Science, Queens Medical Research Institute, University of Edinburgh, Edinburgh, UK
| | - Andrew H Baker
- BHF Centre for Cardiovascular Science, Queens Medical Research Institute, University of Edinburgh, Edinburgh, UK
- Cardiovascular Research Institute Maastricht (CARIM), Maastricht University Medical Centre, Maastricht, The Netherlands
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14
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Kemper KE, Sidorenko J, Wang H, Hayes BJ, Wray NR, Yengo L, Keller MC, Goddard M, Visscher PM. Genetic influence on within-person longitudinal change in anthropometric traits in the UK Biobank. Nat Commun 2024; 15:3776. [PMID: 38710707 PMCID: PMC11074304 DOI: 10.1038/s41467-024-47802-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2023] [Accepted: 04/10/2024] [Indexed: 05/08/2024] Open
Abstract
The causes of temporal fluctuations in adult traits are poorly understood. Here, we investigate the genetic determinants of within-person trait variability of 8 repeatedly measured anthropometric traits in 50,117 individuals from the UK Biobank. We found that within-person (non-directional) variability had a SNP-based heritability of 2-5% for height, sitting height, body mass index (BMI) and weight (P ≤ 2.4 × 10-3). We also analysed longitudinal trait change and show a loss of both average height and weight beyond about 70 years of age. A variant tracking the Alzheimer's risk APOE- E 4 allele (rs429358) was significantly associated with weight loss ( β = -0.047 kg per yr, s.e. 0.007, P = 2.2 × 10-11), and using 2-sample Mendelian Randomisation we detected a relationship consistent with causality between decreased lumbar spine bone mineral density and height loss (bxy = 0.011, s.e. 0.003, P = 3.5 × 10-4). Finally, population-level variance quantitative trait loci (vQTL) were consistent with within-person variability for several traits, indicating an overlap between trait variability assessed at the population or individual level. Our findings help elucidate the genetic influence on trait-change within an individual and highlight disease risks associated with these changes.
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Affiliation(s)
- Kathryn E Kemper
- Institute for Molecular Bioscience, University of Queensland, Brisbane, QLD, Australia.
| | - Julia Sidorenko
- Institute for Molecular Bioscience, University of Queensland, Brisbane, QLD, Australia
| | - Huanwei Wang
- Institute for Molecular Bioscience, University of Queensland, Brisbane, QLD, Australia
| | - Ben J Hayes
- Queensland Alliance for Agriculture and Food Innovation, University of Queensland, Brisbane, QLD, Australia
| | - Naomi R Wray
- Institute for Molecular Bioscience, University of Queensland, Brisbane, QLD, Australia
- Department of Psychiatry, University of Oxford, Oxford, UK
| | - Loic Yengo
- Institute for Molecular Bioscience, University of Queensland, Brisbane, QLD, Australia
| | - Matthew C Keller
- Institute for Behavioral Genetics, University of Colorado, Boulder, CO, USA
| | - Michael Goddard
- Faculty of Veterinary and Agricultural Science, University of Melbourne, Parkville, VIC, Australia
- Biosciences Research Division, Agriculture Victoria, Bundoora, VIC, Australia
| | - Peter M Visscher
- Institute for Molecular Bioscience, University of Queensland, Brisbane, QLD, Australia.
- Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, Nuffield Department of Population Health, University of Oxford, Oxford, UK.
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15
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Jiang N, Li YB, Jin JY, Guo JY, Ding QR, Meng D, Zhi XL. Structural and functional insights into the epigenetic regulator MRG15. Acta Pharmacol Sin 2024; 45:879-889. [PMID: 38191914 PMCID: PMC11053006 DOI: 10.1038/s41401-023-01211-6] [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: 06/24/2023] [Accepted: 12/05/2023] [Indexed: 01/10/2024] Open
Abstract
MORF4-related gene on chromosome 15 (MRG15), a chromatin remodeller, is evolutionally conserved and ubiquitously expressed in mammalian tissues and cells. MRG15 plays vital regulatory roles in DNA damage repair, cell proliferation and division, cellular senescence and apoptosis by regulating both gene activation and gene repression via associations with specific histone acetyltransferase and histone deacetylase complexes. Recently, MRG15 has also been shown to rhythmically regulate hepatic lipid metabolism and suppress carcinoma progression. The unique N-terminal chromodomain and C-terminal MRG domain in MRG15 synergistically regulate its interaction with different cofactors, affecting its functions in various cell types. Thus, how MRG15 elaborately regulates target gene expression and performs diverse functions in different cellular contexts is worth investigating. In this review, we provide an in-depth discussion of how MRG15 controls multiple physiological and pathological processes.
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Affiliation(s)
- Nan Jiang
- Department of Physiology and Pathophysiology, School of Basic Medical Sciences, Fudan University, Shanghai, 200032, China
| | - Yong-Bo Li
- Department of Physiology and Pathophysiology, School of Basic Medical Sciences, Fudan University, Shanghai, 200032, China
| | - Jia-Yu Jin
- Department of Physiology and Pathophysiology, School of Basic Medical Sciences, Fudan University, Shanghai, 200032, China
| | - Jie-Yu Guo
- Department of Physiology and Pathophysiology, School of Basic Medical Sciences, Fudan University, Shanghai, 200032, China
| | - Qiu-Rong Ding
- CAS Key Laboratory of Nutrition, Metabolism and Food Safety, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, 200031, China
| | - Dan Meng
- Department of Physiology and Pathophysiology, School of Basic Medical Sciences, Fudan University, Shanghai, 200032, China.
| | - Xiu-Ling Zhi
- Department of Physiology and Pathophysiology, School of Basic Medical Sciences, Fudan University, Shanghai, 200032, China.
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16
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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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17
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Albar NY, Hassaballa H, Shikh H, Albar Y, Ibrahim AS, Mousa AH, Alshanberi AM, Elgebaly A, Bahbah EI. The interaction between insulin resistance and Alzheimer's disease: a review article. Postgrad Med 2024; 136:377-395. [PMID: 38804907 DOI: 10.1080/00325481.2024.2360887] [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: 01/28/2024] [Accepted: 05/23/2024] [Indexed: 05/29/2024]
Abstract
Insulin serves multiple functions as a growth-promoting hormone in peripheral tissues. It manages glucose metabolism by promoting glucose uptake into cells and curbing the production of glucose in the liver. Beyond this, insulin fosters cell growth, drives differentiation, aids protein synthesis, and deters degradative processes like glycolysis, lipolysis, and proteolysis. Receptors for insulin and insulin-like growth factor-1 are widely expressed in the central nervous system. Their widespread presence in the brain underscores the varied and critical functions of insulin signaling there. Insulin aids in bolstering cognition, promoting neuron extension, adjusting the release and absorption of catecholamines, and controlling the expression and positioning of gamma-aminobutyric acid (GABA). Importantly, insulin can effortlessly traverse the blood-brain barrier. Furthermore, insulin resistance (IR)-induced alterations in insulin signaling might hasten brain aging, impacting its plasticity and potentially leading to neurodegeneration. Two primary pathways are responsible for insulin signal transmission: the phosphoinositide 3-kinase (PI3K)/protein kinase B (AKT) pathway, which oversees metabolic responses, and the mitogen-activated protein kinase (MAPK) pathway, which guides cell growth, survival, and gene transcription. This review aimed to explore the potential shared metabolic traits between Alzheimer's disease (AD) and IR disorders. It delves into the relationship between AD and IR disorders, their overlapping genetic markers, and shared metabolic indicators. Additionally, it addresses existing therapeutic interventions targeting these intersecting pathways.
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Affiliation(s)
- Nezar Y Albar
- Internal Medicine Department, Dr. Samir Abbas Hospital, Jeddah, Saudi Arabia
| | | | - Hamza Shikh
- Ibn Sina National College for Medical Studies, Jeddah, Saudi Arabia
| | - Yassin Albar
- Fakeeh College of Medical Sciences, Jeddah, Saudi Arabia
| | | | - Ahmed Hafez Mousa
- Department of Neurosurgery, Postgraduate Medical Education, Mohammed Bin Rashid University of Medicine and Health Sciences, Dubai, United Arab Emirates
- Department of Neurosurgery, Rashid Hospital, Dubai Academic Health Cooperation, Dubai, United Arab Emirates
| | - Asim Muhammed Alshanberi
- Department of Community Medicine and Pilgrims Health Care, Umm Alqura University, Makkah, Saudi Arabia
- Medicine Program, Batterjee Medical College, Jeddah, Saudi Arabia
| | - Ahmed Elgebaly
- Smart Health Academic Unit, University of East London, London, UK
| | - Eshak I Bahbah
- Faculty of Medicine, Al-Azhar University, Damietta, Egypt
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18
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Moss CE, Johnston SA, Kimble JV, Clements M, Codd V, Hamby S, Goodall AH, Deshmukh S, Sudbery I, Coca D, Wilson HL, Kiss-Toth E. Aging-related defects in macrophage function are driven by MYC and USF1 transcriptional programs. Cell Rep 2024; 43:114073. [PMID: 38578825 DOI: 10.1016/j.celrep.2024.114073] [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: 10/27/2023] [Revised: 02/15/2024] [Accepted: 03/21/2024] [Indexed: 04/07/2024] Open
Abstract
Macrophages are central innate immune cells whose function declines with age. The molecular mechanisms underlying age-related changes remain poorly understood, particularly in human macrophages. We report a substantial reduction in phagocytosis, migration, and chemotaxis in human monocyte-derived macrophages (MDMs) from older (>50 years old) compared with younger (18-30 years old) donors, alongside downregulation of transcription factors MYC and USF1. In MDMs from young donors, knockdown of MYC or USF1 decreases phagocytosis and chemotaxis and alters the expression of associated genes, alongside adhesion and extracellular matrix remodeling. A concordant dysregulation of MYC and USF1 target genes is also seen in MDMs from older donors. Furthermore, older age and loss of either MYC or USF1 in MDMs leads to an increased cell size, altered morphology, and reduced actin content. Together, these results define MYC and USF1 as key drivers of MDM age-related functional decline and identify downstream targets to improve macrophage function in aging.
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Affiliation(s)
- Charlotte E Moss
- Division of Clinical Medicine, School of Medicine and Population Health, University of Sheffield, Sheffield, UK; Healthy Lifespan Institute, University of Sheffield, Sheffield, UK
| | - Simon A Johnston
- Division of Clinical Medicine, School of Medicine and Population Health, University of Sheffield, Sheffield, UK
| | - Joshua V Kimble
- Division of Clinical Medicine, School of Medicine and Population Health, University of Sheffield, Sheffield, UK; Healthy Lifespan Institute, University of Sheffield, Sheffield, UK
| | - Martha Clements
- Division of Clinical Medicine, School of Medicine and Population Health, University of Sheffield, Sheffield, UK
| | - Veryan Codd
- Department of Cardiovascular Sciences, University of Leicester, Leicester, UK; National Institute for Healthcare Research, Leicester Biomedical Research Centre, Glenfield Hospital, Leicester, UK
| | - Stephen Hamby
- Department of Cardiovascular Sciences, University of Leicester, Leicester, UK; National Institute for Healthcare Research, Leicester Biomedical Research Centre, Glenfield Hospital, Leicester, UK
| | - Alison H Goodall
- Department of Cardiovascular Sciences, University of Leicester, Leicester, UK; National Institute for Healthcare Research, Leicester Biomedical Research Centre, Glenfield Hospital, Leicester, UK
| | - Sumeet Deshmukh
- School of Biosciences, University of Sheffield, Sheffield, UK
| | - Ian Sudbery
- School of Biosciences, University of Sheffield, Sheffield, UK
| | - Daniel Coca
- Healthy Lifespan Institute, University of Sheffield, Sheffield, UK; Department of Autonomic Control and Systems Engineering, University of Sheffield, Sheffield, UK
| | - Heather L Wilson
- Division of Clinical Medicine, School of Medicine and Population Health, University of Sheffield, Sheffield, UK; Healthy Lifespan Institute, University of Sheffield, Sheffield, UK.
| | - Endre Kiss-Toth
- Division of Clinical Medicine, School of Medicine and Population Health, University of Sheffield, Sheffield, UK; Healthy Lifespan Institute, University of Sheffield, Sheffield, UK; Biological Research Centre, Szeged, Hungary.
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19
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Jeong R, Bulyk ML. Chromatin accessibility variation provides insights into missing regulation underlying immune-mediated diseases. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.04.12.589213. [PMID: 38659802 PMCID: PMC11042205 DOI: 10.1101/2024.04.12.589213] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/26/2024]
Abstract
Most genetic loci associated with complex traits and diseases through genome-wide association studies (GWAS) are noncoding, suggesting that the causal variants likely have gene regulatory effects. However, only a small number of loci have been linked to expression quantitative trait loci (eQTLs) detected currently. To better understand the potential reasons for many trait-associated loci lacking eQTL colocalization, we investigated whether chromatin accessibility QTLs (caQTLs) in lymphoblastoid cell lines (LCLs) explain immune-mediated disease associations that eQTLs in LCLs did not. The power to detect caQTLs was greater than that of eQTLs and was less affected by the distance from the transcription start site of the associated gene. Meta-analyzing LCL eQTL data to increase the sample size to over a thousand led to additional loci with eQTL colocalization, demonstrating that insufficient statistical power is still likely to be a factor. Moreover, further eQTL colocalization loci were uncovered by surveying eQTLs of other immune cell types. Altogether, insufficient power and context-specificity of eQTLs both contribute to the 'missing regulation.'
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Affiliation(s)
- Raehoon Jeong
- Division of Genetics, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA 02115, USA
- Bioinformatics and Integrative Genomics Graduate Program, Harvard University, Cambridge, MA 02138, USA
| | - Martha L. Bulyk
- Division of Genetics, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA 02115, USA
- Bioinformatics and Integrative Genomics Graduate Program, Harvard University, Cambridge, MA 02138, USA
- Department of Pathology, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA 02115, USA
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20
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Zhang T, Zhou G, Klei L, Liu P, Chouldechova A, Zhao H, Roeder K, G'Sell M, Devlin B. Evaluating and improving health equity and fairness of polygenic scores. HGG ADVANCES 2024; 5:100280. [PMID: 38402414 PMCID: PMC10937319 DOI: 10.1016/j.xhgg.2024.100280] [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: 09/28/2023] [Revised: 02/14/2024] [Accepted: 02/14/2024] [Indexed: 02/26/2024] Open
Abstract
Polygenic scores (PGSs) are quantitative metrics for predicting phenotypic values, such as human height or disease status. Some PGS methods require only summary statistics of a relevant genome-wide association study (GWAS) for their score. One such method is Lassosum, which inherits the model selection advantages of Lasso to select a meaningful subset of the GWAS single-nucleotide polymorphisms as predictors from their association statistics. However, even efficient scores like Lassosum, when derived from European-based GWASs, are poor predictors of phenotype for subjects of non-European ancestry; that is, they have limited portability to other ancestries. To increase the portability of Lassosum, when GWAS information and estimates of linkage disequilibrium are available for both ancestries, we propose Joint-Lassosum (JLS). In the simulation settings we explore, JLS provides more accurate PGSs compared to other methods, especially when measured in terms of fairness. In analyses of UK Biobank data, JLS was computationally more efficient but slightly less accurate than a Bayesian comparator, SDPRX. Like all PGS methods, JLS requires selection of predictors, which are determined by data-driven tuning parameters. We describe a new approach to selecting tuning parameters and note its relevance for model selection for any PGS. We also draw connections to the literature on algorithmic fairness and discuss how JLS can help mitigate fairness-related harms that might result from the use of PGSs in clinical settings. While no PGS method is likely to be universally portable, due to the diversity of human populations and unequal information content of GWASs for different ancestries, JLS is an effective approach for enhancing portability and reducing predictive bias.
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Affiliation(s)
- Tianyu Zhang
- Department of Statistics and Data Science, Carnegie Mellon University, Pittsburgh, PA 15213, USA.
| | - Geyu Zhou
- Department of Biostatistics, Yale University, New Haven, CT 06511, USA
| | - Lambertus Klei
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA 15213, USA
| | - Peng Liu
- Merck Research Laboratories, Merck & Co., Inc., Rahway, NJ 07065, USA
| | - Alexandra Chouldechova
- Microsoft Research NYC, New York, NY 10012, USA; Heinz College of Information Systems and Public Policy, Carnegie Mellon University, Pittsburgh, PA 15213, USA
| | - Hongyu Zhao
- Department of Biostatistics, Yale University, New Haven, CT 06511, USA
| | - Kathryn Roeder
- Department of Statistics and Data Science, Carnegie Mellon University, Pittsburgh, PA 15213, USA; Computational Biology Department, Carnegie Mellon University, Pittsburgh, PA 15213, USA
| | - Max G'Sell
- Department of Statistics and Data Science, Carnegie Mellon University, Pittsburgh, PA 15213, USA
| | - Bernie Devlin
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA 15213, USA.
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21
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Odriozola A, González A, Álvarez-Herms J, Corbi F. Sleep regulation and host genetics. ADVANCES IN GENETICS 2024; 111:497-535. [PMID: 38908905 DOI: 10.1016/bs.adgen.2024.02.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/24/2024]
Abstract
Due to the multifactorial and complex nature of rest, we focus on phenotypes related to sleep. Sleep regulation is a multifactorial process. In this chapter, we focus on those phenotypes inherent to sleep that are highly prevalent in the population, and that can be modulated by lifestyle, such as sleep quality and duration, insomnia, restless leg syndrome and daytime sleepiness. We, therefore, leave in the background those phenotypes that constitute infrequent pathologies or for which the current level of scientific evidence does not favour the implementation of practical approaches of this type. Similarly, the regulation of sleep quality is intimately linked to the regulation of the circadian rhythm. Although this relationship is discussed in the sections that require it, the in-depth study of circadian rhythm regulation at the molecular level deserves a separate chapter, and this is how it is dealt with in this volume.
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Affiliation(s)
- Adrián Odriozola
- Hologenomiks Research Group, Department of Genetics, Physical Anthropology and Animal Physiology, University of the Basque Country (UPV/EHU), Leioa, Spain.
| | - Adriana González
- Hologenomiks Research Group, Department of Genetics, Physical Anthropology and Animal Physiology, University of the Basque Country (UPV/EHU), Leioa, Spain
| | - Jesús Álvarez-Herms
- Phymo® Lab, Physiology, and Molecular Laboratory, Collado Hermoso, Segovia, Spain
| | - Francesc Corbi
- Institut Nacional d'Educació Física de Catalunya (INEFC), Centre de Lleida, Universitat de Lleida (UdL), Lleida, Spain
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22
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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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23
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Posadas-Sánchez R, López-Uribe ÁR, Fragoso JM, Vargas-Alarcón G. Interleukin 6 polymorphisms are associated with cardiovascular risk factors in premature coronary artery disease patients and healthy controls of the GEA Mexican study. Exp Mol Pathol 2024; 136:104886. [PMID: 38290570 DOI: 10.1016/j.yexmp.2024.104886] [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: 02/11/2023] [Revised: 01/04/2024] [Accepted: 01/26/2024] [Indexed: 02/01/2024]
Abstract
BACKGROUND AND AIMS Interleukin-6 (IL-6) is an acute-phase protein that plays an important role in the inflammatory response, vascular inflammation, and atherosclerosis process. The study aimed to establish whether IL-6 gene polymorphisms and IL-6 concentrations are associated with premature coronary artery disease (pCAD) and cardiovascular risk factors. METHODS The IL-6 concentrations and the rs2069827, rs1800796, and rs1800795 IL-6 polymorphisms were determined in 1150 pCAD patients and 1083 healthy controls (coronary artery calcium equal to zero determined by tomography). RESULTS The IL-6 polymorphisms studied were not associated with pCAD, but they were associated with cardiovascular risk factors in patients and controls. In controls, under the dominant model, the rs1800795 C allele and the rs2069827 T allele were associated with a low risk of central obesity (OR = 0.401, p = 0.017 and OR = 0.577, p = 0.031, respectively), hypoalphalipoproteinemia (OR = 0.581, p = 0.027 and OR = 0.700, p = 0.014, respectively) and hypertriglyceridemia (OR = 0.575, p = 0.030 and OR = 0.728, p = 0.033, respectively). In pCAD, the rs1800795 C allele was associated with an increased risk of hypoalphalipoproteinemia (OR = 1.370, padditive = 0.025) and increased C-reactive protein (CRP) concentrations (OR = 1.491, padditive = 0.007). pCAD patients had significantly higher serum IL-6 concentrations compared to controls (p = 0.002). In the total population, individuals carrying the rs1800795 GC + CC genotypes had higher levels of IL-6 than carriers of the GG genotype (p = 0.025). In control individuals carrying the C allele (CG + CC), an inverse correlation was observed between IL-6 and HDL-cholesterol levels (p = 0.003). CONCLUSIONS In summary, the IL-6 polymorphisms were not associated with pCAD, however, they were associated with cardiovascular risk factors in pCAD patients and healthy controls. Individuals carrying the rs1800795 GC + CC genotypes had higher levels of IL-6 than carriers of the GG genotype.
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Affiliation(s)
| | - Ángel Rene López-Uribe
- Department of Endocrinology, Instituto Nacional de Cardiología Ignacio Chávez, Mexico City, Mexico
| | - José Manuel Fragoso
- Department of Molecular Biology, Instituto Nacional de Cardiología Ignacio Chávez, Mexico City, Mexico
| | - Gilberto Vargas-Alarcón
- Department of Molecular Biology, Instituto Nacional de Cardiología Ignacio Chávez, Mexico City, Mexico; Research Direction, Instituto Nacional de Cardiología Ignacio Chávez, Mexico City, Mexico.
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24
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Fu Y, Zhou Y, Wang K, Li Z, Kong W. Extracellular Matrix Interactome in Modulating Vascular Homeostasis and Remodeling. Circ Res 2024; 134:931-949. [PMID: 38547250 DOI: 10.1161/circresaha.123.324055] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 04/02/2024]
Abstract
The ECM (extracellular matrix) is a major component of the vascular microenvironment that modulates vascular homeostasis. ECM proteins include collagens, elastin, noncollagen glycoproteins, and proteoglycans/glycosaminoglycans. ECM proteins form complex matrix structures, such as the basal lamina and collagen and elastin fibers, through direct interactions or lysyl oxidase-mediated cross-linking. Moreover, ECM proteins directly interact with cell surface receptors or extracellular secreted molecules, exerting matricellular and matricrine modulation, respectively. In addition, extracellular proteases degrade or cleave matrix proteins, thereby contributing to ECM turnover. These interactions constitute the ECM interactome network, which is essential for maintaining vascular homeostasis and preventing pathological vascular remodeling. The current review mainly focuses on endogenous matrix proteins in blood vessels and discusses the interaction of these matrix proteins with other ECM proteins, cell surface receptors, cytokines, complement and coagulation factors, and their potential roles in maintaining vascular homeostasis and preventing pathological remodeling.
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Affiliation(s)
- Yi Fu
- Department of Physiology and Pathophysiology (Y.F., K.W., Z.L., W.K.), School of Basic Medical Sciences, State Key Laboratory of Vascular Homeostasis and Remodeling, Peking University, Beijing, China
| | - Yuan Zhou
- Department of Biomedical Informatics (Y.Z.), School of Basic Medical Sciences, State Key Laboratory of Vascular Homeostasis and Remodeling, Peking University, Beijing, China
| | - Kai Wang
- Department of Physiology and Pathophysiology (Y.F., K.W., Z.L., W.K.), School of Basic Medical Sciences, State Key Laboratory of Vascular Homeostasis and Remodeling, Peking University, Beijing, China
| | - Zhuofan Li
- Department of Physiology and Pathophysiology (Y.F., K.W., Z.L., W.K.), School of Basic Medical Sciences, State Key Laboratory of Vascular Homeostasis and Remodeling, Peking University, Beijing, China
| | - Wei Kong
- Department of Physiology and Pathophysiology (Y.F., K.W., Z.L., W.K.), School of Basic Medical Sciences, State Key Laboratory of Vascular Homeostasis and Remodeling, Peking University, Beijing, China
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25
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Jin J, Qi G, Yu Z, Chatterjee N. Mendelian randomization analysis using multiple biomarkers of an underlying common exposure. Biostatistics 2024:kxae006. [PMID: 38459704 DOI: 10.1093/biostatistics/kxae006] [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: 02/28/2023] [Revised: 11/16/2023] [Accepted: 02/05/2024] [Indexed: 03/10/2024] Open
Abstract
Mendelian randomization (MR) analysis is increasingly popular for testing the causal effect of exposures on disease outcomes using data from genome-wide association studies. In some settings, the underlying exposure, such as systematic inflammation, may not be directly observable, but measurements can be available on multiple biomarkers or other types of traits that are co-regulated by the exposure. We propose a method for MR analysis on latent exposures (MRLE), which tests the significance for, and the direction of, the effect of a latent exposure by leveraging information from multiple related traits. The method is developed by constructing a set of estimating functions based on the second-order moments of GWAS summary association statistics for the observable traits, under a structural equation model where genetic variants are assumed to have indirect effects through the latent exposure and potentially direct effects on the traits. Simulation studies show that MRLE has well-controlled type I error rates and enhanced power compared to single-trait MR tests under various types of pleiotropy. Applications of MRLE using genetic association statistics across five inflammatory biomarkers (CRP, IL-6, IL-8, TNF-α, and MCP-1) provide evidence for potential causal effects of inflammation on increasing the risk of coronary artery disease, colorectal cancer, and rheumatoid arthritis, while standard MR analysis for individual biomarkers fails to detect consistent evidence for such effects.
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Affiliation(s)
- Jin Jin
- Department of Biostatistics, Bloomberg School of Public Health, Johns Hopkins University, 615 N Wolfe St, Baltimore, MD 21205, United States
- Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania, 423 Guardian Drive, Philadelphia, PA 19104-6021, United States
| | - Guanghao Qi
- Department of Biomedical Engineering, Johns Hopkins University, 720 Rutland Avenue, Baltimore, MD 21205, United States
- Department of Biostatistics, University of Washington, 3980 15th Avenue NE, Seattle, WA 98195-1617, United States
| | - Zhi Yu
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, 415 Main St Cambridge, MA 02142, United States
| | - Nilanjan Chatterjee
- Department of Biostatistics, Bloomberg School of Public Health, Johns Hopkins University, 615 N Wolfe St, Baltimore, MD 21205, United States
- Department of Oncology, School of Medicine, Johns Hopkins University, 733 N Broadway, Baltimore, MD 21205, United States
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26
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Lin A, Ramaswamy Y, Misra A. Developmental heterogeneity of vascular cells: Insights into cellular plasticity in atherosclerosis? Semin Cell Dev Biol 2024; 155:3-15. [PMID: 37316416 DOI: 10.1016/j.semcdb.2023.06.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2023] [Revised: 05/30/2023] [Accepted: 06/06/2023] [Indexed: 06/16/2023]
Abstract
Smooth muscle cells, endothelial cells and macrophages display remarkable heterogeneity within the healthy vasculature and under pathological conditions. During development, these cells arise from numerous embryological origins, which confound with different microenvironments to generate postnatal vascular cell diversity. In the atherosclerotic plaque milieu, all these cell types exhibit astonishing plasticity, generating a variety of plaque burdening or plaque stabilizing phenotypes. And yet how developmental origin influences intraplaque cell plasticity remains largely unexplored despite evidence suggesting this may be the case. Uncovering the diversity and plasticity of vascular cells is being revolutionized by unbiased single cell whole transcriptome analysis techniques that will likely continue to pave the way for therapeutic research. Cellular plasticity is only just emerging as a target for future therapeutics, and uncovering how intraplaque plasticity differs across vascular beds may provide key insights into why different plaques behave differently and may confer different risks of subsequent cardiovascular events.
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Affiliation(s)
- Alexander Lin
- Atherosclerosis and Vascular Remodeling Group, Heart Research Institute, Sydney, NSW, Australia; School of Biomedical Engineering, Faculty of Engineering, The University of Sydney, Sydney, NSW, Australia
| | - Yogambha Ramaswamy
- School of Biomedical Engineering, Faculty of Engineering, The University of Sydney, Sydney, NSW, Australia
| | - Ashish Misra
- Atherosclerosis and Vascular Remodeling Group, Heart Research Institute, Sydney, NSW, Australia; Heart Research Institute, The University of Sydney, Sydney, NSW, Australia; Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia.
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27
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Chung A, Chang HK, Pan H, Bashore AC, Shuck K, Matias CV, Gomez J, Yan H, Li M, Bauer RC. ADAMTS7 Promotes Smooth Muscle Cell Foam Cell Expansion in Atherosclerosis. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.02.26.582156. [PMID: 38463994 PMCID: PMC10925101 DOI: 10.1101/2024.02.26.582156] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/12/2024]
Abstract
Human genetic studies have repeatedly associated SNPs near the gene ADAMTS7 with atherosclerotic cardiovascular disease. Subsequent investigations in mice demonstrated that ADAMTS7 is proatherogenic, induced in response to vascular injury, and alters smooth muscle cell function. However, the mechanisms governing this function and its relationship to atherosclerosis remain unclear. Here, we report the first conditional Adamts7 transgenic mouse in which the gene can be conditionally overexpressed in smooth muscle cells, mimicking its induction in atherosclerosis. We observed that smooth muscle cell Adamts7 overexpression results in a 3.5-fold increase in peripheral atherosclerosis, coinciding with an expansion of smooth muscle foam cells. RNA sequencing of Adamts7 overexpressed primary smooth muscle cells revealed an upregulation in the expression of lipid uptake genes. Subsequent experiments in primary smooth muscle cells demonstrated that increased Spi1 and Cd36 expression leads to increased smooth muscle cell oxLDL uptake. To uncover ADAMTS7 expression in human disease, we have interrogated the largest scRNA-seq dataset of human carotid atherosclerosis. This analysis discovered that endothelial cells had the highest expression level of ADAMTS7 with lesser expression in smooth muscle cells, fibroblasts, and mast cells. Subsequent conditional knockout studies in smooth muscle cells surprisingly showed no change in atherosclerosis, suggesting redundant expression of this secreted factor in the vessel wall. Finally, mice overexpressing Adamts7 in endothelial cells also exhibit increased atherosclerosis, suggesting that multiple vascular cell types can contribute to ADAMTS7-mediated foam cell expansion. In summary, Adamts7 is expressed by multiple vascular cell types in atherosclerosis, and ADAMTS7 promotes oxLDL uptake in smooth muscle cells, increasing smooth muscle foam cell formation and peripheral atherosclerosis in mice.
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28
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Meibom D, Wasnaire P, Beyer K, Broehl A, Cancho-Grande Y, Elowe N, Henninger K, Johannes S, Jungmann N, Krainz T, Lindner N, Maassen S, MacDonald B, Menshykau D, Mittendorf J, Sanchez G, Schaefer M, Stefan E, Torge A, Xing Y, Zubov D. BAY-9835: Discovery of the First Orally Bioavailable ADAMTS7 Inhibitor. J Med Chem 2024; 67:2907-2940. [PMID: 38348661 PMCID: PMC10895658 DOI: 10.1021/acs.jmedchem.3c02036] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2023] [Revised: 12/20/2023] [Accepted: 12/22/2023] [Indexed: 02/23/2024]
Abstract
The matrix metalloprotease ADAMTS7 has been identified by multiple genome-wide association studies as being involved in the development of coronary artery disease. Subsequent research revealed the proteolytic function of the enzyme to be relevant for atherogenesis and restenosis after vessel injury. Based on a publicly known dual ADAMTS4/ADAMTS5 inhibitor, we have in silico designed an ADAMTS7 inhibitor of the catalytic domain, which served as a starting point for an optimization campaign. Initially our inhibitors suffered from low selectivity vs MMP12. An X-ray cocrystal structure inspired us to exploit amino acid differences in the binding site of MMP12 and ADAMTS7 to improve selectivity. Further optimization composed of employing 5-membered heteroaromatic groups as hydantoin substituents to become more potent on ADAMTS7. Finally, fine-tuning of DMPK properties yielded BAY-9835, the first orally bioavailable ADAMTS7 inhibitor. Further optimization to improve selectivity vs ADAMTS12 seems possible, and a respective starting point could be identified.
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Affiliation(s)
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Eric Stefan
- Broad
Institute, 02142 Cambridge, United States
| | | | - Yi Xing
- Broad
Institute, 02142 Cambridge, United States
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29
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Shahjahan, Dey JK, Dey SK. Translational bioinformatics approach to combat cardiovascular disease and cancers. ADVANCES IN PROTEIN CHEMISTRY AND STRUCTURAL BIOLOGY 2024; 139:221-261. [PMID: 38448136 DOI: 10.1016/bs.apcsb.2023.11.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/08/2024]
Abstract
Bioinformatics is an interconnected subject of science dealing with diverse fields including biology, chemistry, physics, statistics, mathematics, and computer science as the key fields to answer complicated physiological problems. Key intention of bioinformatics is to store, analyze, organize, and retrieve essential information about genome, proteome, transcriptome, metabolome, as well as organisms to investigate the biological system along with its dynamics, if any. The outcome of bioinformatics depends on the type, quantity, and quality of the raw data provided and the algorithm employed to analyze the same. Despite several approved medicines available, cardiovascular disorders (CVDs) and cancers comprises of the two leading causes of human deaths. Understanding the unknown facts of both these non-communicable disorders is inevitable to discover new pathways, find new drug targets, and eventually newer drugs to combat them successfully. Since, all these goals involve complex investigation and handling of various types of macro- and small- molecules of the human body, bioinformatics plays a key role in such processes. Results from such investigation has direct human application and thus we call this filed as translational bioinformatics. Current book chapter thus deals with diverse scope and applications of this translational bioinformatics to find cure, diagnosis, and understanding the mechanisms of CVDs and cancers. Developing complex yet small or long algorithms to address such problems is very common in translational bioinformatics. Structure-based drug discovery or AI-guided invention of novel antibodies that too with super-high accuracy, speed, and involvement of considerably low amount of investment are some of the astonishing features of the translational bioinformatics and its applications in the fields of CVDs and cancers.
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Affiliation(s)
- Shahjahan
- Laboratory for Structural Biology of Membrane Proteins, Dr. B.R. Ambedkar Center for Biomedical Research, University of Delhi, Delhi, India
| | - Joy Kumar Dey
- Central Council for Research in Homoeopathy, Ministry of Ayush, Govt. of India, New Delhi, Delhi, India
| | - Sanjay Kumar Dey
- Laboratory for Structural Biology of Membrane Proteins, Dr. B.R. Ambedkar Center for Biomedical Research, University of Delhi, Delhi, India.
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30
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Wahl N, Espeso-Gil S, Chietera P, Nagel A, Laighneach A, Morris DW, Rajarajan P, Akbarian S, Dechant G, Apostolova G. SATB2 organizes the 3D genome architecture of cognition in cortical neurons. Mol Cell 2024; 84:621-639.e9. [PMID: 38244545 PMCID: PMC10923151 DOI: 10.1016/j.molcel.2023.12.024] [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] [Revised: 10/02/2023] [Accepted: 12/15/2023] [Indexed: 01/22/2024]
Abstract
The DNA-binding protein SATB2 is genetically linked to human intelligence. We studied its influence on the three-dimensional (3D) epigenome by mapping chromatin interactions and accessibility in control versus SATB2-deficient cortical neurons. We find that SATB2 affects the chromatin looping between enhancers and promoters of neuronal-activity-regulated genes, thus influencing their expression. It also alters A/B compartments, topologically associating domains, and frequently interacting regions. Genes linked to SATB2-dependent 3D genome changes are implicated in highly specialized neuronal functions and contribute to cognitive ability and risk for neuropsychiatric and neurodevelopmental disorders. Non-coding DNA regions with a SATB2-dependent structure are enriched for common variants associated with educational attainment, intelligence, and schizophrenia. Our data establish SATB2 as a cell-type-specific 3D genome modulator, which operates both independently and in cooperation with CCCTC-binding factor (CTCF) to set up the chromatin landscape of pyramidal neurons for cognitive processes.
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Affiliation(s)
- Nico Wahl
- Institute for Neuroscience, Medical University of Innsbruck, Innsbruck 6020, Austria.
| | - Sergio Espeso-Gil
- Institute for Neuroscience, Medical University of Innsbruck, Innsbruck 6020, Austria; Department of Psychiatry, Friedman Brain Institute, Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Paola Chietera
- Institute for Neuroscience, Medical University of Innsbruck, Innsbruck 6020, Austria
| | - Amelie Nagel
- Institute for Neuroscience, Medical University of Innsbruck, Innsbruck 6020, Austria
| | - Aodán Laighneach
- Centre for Neuroimaging, Cognition and Genomics (NICOG), School of Biological and Chemical Sciences, University of Galway, Galway, H91 TK33, Ireland
| | - Derek W Morris
- Centre for Neuroimaging, Cognition and Genomics (NICOG), School of Biological and Chemical Sciences, University of Galway, Galway, H91 TK33, Ireland
| | - Prashanth Rajarajan
- Department of Psychiatry, Friedman Brain Institute, Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Schahram Akbarian
- Department of Psychiatry, Friedman Brain Institute, Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Georg Dechant
- Institute for Neuroscience, Medical University of Innsbruck, Innsbruck 6020, Austria.
| | - Galina Apostolova
- Institute for Neuroscience, Medical University of Innsbruck, Innsbruck 6020, Austria.
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31
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Iwanicka J, Balcerzyk-Matić A, Iwanicki T, Mizia-Stec K, Bańka P, Filipecki A, Gawron K, Jarosz A, Nowak T, Krauze J, Niemiec P. The Association of ADAMTS7 Gene Polymorphisms with the Risk of Coronary Artery Disease Occurrence and Cardiovascular Survival in the Polish Population: A Case-Control and a Prospective Cohort Study. Int J Mol Sci 2024; 25:2274. [PMID: 38396951 PMCID: PMC10889572 DOI: 10.3390/ijms25042274] [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: 01/15/2024] [Revised: 02/06/2024] [Accepted: 02/12/2024] [Indexed: 02/25/2024] Open
Abstract
The aim of this study was to investigate whether the polymorphisms of the ADAMTS7 gene affect the risk of occurrence and mortality due to CAD. The study group included 231 patients diagnosed with CAD and 240 control blood donors. The genotyping of specified polymorphisms, i.e., rs1994016, rs3825807, and rs7173743, was performed using the TaqMan-PCR. We found that the C allele carriers of the rs1994016 and A allele carriers of the rs3825807 polymorphisms increased the risk of CAD, respectively: OR = 1.72, p = 0.036; OR = 1.64, p = 0.04. Moreover, we studied the biological interactions of specified variants, i.e., rs3825807, rs1994016, and rs7173743, and previously approved risk factors of CAD. We demonstrated here that selected polymorphisms of ADAMTS7 increased the risk of CAD altogether with abnormalities of total cholesterol and LDL concentrations in serum. Although survival analyses did not reveal statistical significance, we observed a trend for the AA genotype of the rs3825807 ADAMTS7, which may predispose to death due to CAD in a 5-year follow-up. In conclusion, the ADAMTS7 polymorphisms investigated in this study may increase the risk of occurrence and/or death due to CAD in the Polish population.
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Affiliation(s)
- Joanna Iwanicka
- Department of Biochemistry and Medical Genetics, School of Health Sciences in Katowice, Medical University of Silesia, Medykow Street 18, 40-752 Katowice, Poland; (A.B.-M.); (T.I.); (A.J.); (T.N.); (P.N.)
| | - Anna Balcerzyk-Matić
- Department of Biochemistry and Medical Genetics, School of Health Sciences in Katowice, Medical University of Silesia, Medykow Street 18, 40-752 Katowice, Poland; (A.B.-M.); (T.I.); (A.J.); (T.N.); (P.N.)
| | - Tomasz Iwanicki
- Department of Biochemistry and Medical Genetics, School of Health Sciences in Katowice, Medical University of Silesia, Medykow Street 18, 40-752 Katowice, Poland; (A.B.-M.); (T.I.); (A.J.); (T.N.); (P.N.)
| | - Katarzyna Mizia-Stec
- First Department of Cardiology, School of Medicine in Katowice, Medical University of Silesia, 47 Ziołowa St., 40-635 Katowice, Poland; (K.M.-S.); (P.B.); (A.F.)
| | - Paweł Bańka
- First Department of Cardiology, School of Medicine in Katowice, Medical University of Silesia, 47 Ziołowa St., 40-635 Katowice, Poland; (K.M.-S.); (P.B.); (A.F.)
| | - Artur Filipecki
- First Department of Cardiology, School of Medicine in Katowice, Medical University of Silesia, 47 Ziołowa St., 40-635 Katowice, Poland; (K.M.-S.); (P.B.); (A.F.)
| | - Katarzyna Gawron
- Department of Molecular Biology and Genetics, Faculty of Medical Sciences in Katowice, Medical University of Silesia, Medykow 18, 40-752 Katowice, Poland;
| | - Alicja Jarosz
- Department of Biochemistry and Medical Genetics, School of Health Sciences in Katowice, Medical University of Silesia, Medykow Street 18, 40-752 Katowice, Poland; (A.B.-M.); (T.I.); (A.J.); (T.N.); (P.N.)
| | - Tomasz Nowak
- Department of Biochemistry and Medical Genetics, School of Health Sciences in Katowice, Medical University of Silesia, Medykow Street 18, 40-752 Katowice, Poland; (A.B.-M.); (T.I.); (A.J.); (T.N.); (P.N.)
| | - Jolanta Krauze
- 1st Department of Cardiac Surgery/2nd Department of Cardiology, American Heart of Poland, S. A. Armii Krajowej 101, 43-316 Bielsko-Biala, Poland;
| | - Paweł Niemiec
- Department of Biochemistry and Medical Genetics, School of Health Sciences in Katowice, Medical University of Silesia, Medykow Street 18, 40-752 Katowice, Poland; (A.B.-M.); (T.I.); (A.J.); (T.N.); (P.N.)
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Mulugeta A, Lumsden AL, Madakkatel I, Stacey D, Lee SH, Mäenpää J, Oehler MK, Hyppönen E. Phenome-wide association study of ovarian cancer identifies common comorbidities and reveals shared genetics with complex diseases and biomarkers. Cancer Med 2024; 13:e7051. [PMID: 38457211 PMCID: PMC10923028 DOI: 10.1002/cam4.7051] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2023] [Revised: 01/29/2024] [Accepted: 02/09/2024] [Indexed: 03/09/2024] Open
Abstract
BACKGROUND Ovarian cancer (OC) is commonly diagnosed among older women who have comorbidities. This hypothesis-free phenome-wide association study (PheWAS) aimed to identify comorbidities associated with OC, as well as traits that share a genetic architecture with OC. METHODS We used data from 181,203 white British female UK Biobank participants and analysed OC and OC subtype-specific genetic risk scores (OC-GRS) for an association with 889 diseases and 43 other traits. We conducted PheWAS and colocalization analyses for individual variants to identify evidence for shared genetic architecture. RESULTS The OC-GRS was associated with 10 diseases, and the clear cell OC-GRS was associated with five diseases at the FDR threshold (p = 5.6 × 10-4 ). Mendelian randomizaiton analysis (MR) provided robust evidence for the association of OC with higher risk of "secondary malignant neoplasm of digestive systems" (OR 1.64, 95% CI 1.33, 2.02), "ascites" (1.48, 95% CI 1.17, 1.86), "chronic airway obstruction" (1.17, 95% CI 1.07, 1.29), and "abnormal findings on examination of the lung" (1.51, 95% CI 1.22, 1.87). Analyses of lung spirometry measures provided further support for compromised respiratory function. PheWAS on individual OC variants identified five genetic variants associated with other diseases, and seven variants associated with biomarkers (all, p ≤ 4.5 × 10-8 ). Colocalization analysis identified rs4449583 (from TERT locus) as the shared causal variant for OC and seborrheic keratosis. CONCLUSIONS OC is associated with digestive and respiratory comorbidities. Several variants affecting OC risk were associated with other diseases and biomarkers, with this study identifying a novel genetic locus shared between OC and skin conditions.
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Affiliation(s)
- Anwar Mulugeta
- Australian Centre for Precision Health, Unit of Clinical and Health SciencesUniversity of South AustraliaAdelaideSouth AustraliaAustralia
- South Australian Health and Medical Research InstituteAdelaideSouth AustraliaAustralia
- Department of Pharmacology and Clinical Pharmacy, College of Health ScienceAddis Ababa UniversityAddis AbabaEthiopia
| | - Amanda L. Lumsden
- Australian Centre for Precision Health, Unit of Clinical and Health SciencesUniversity of South AustraliaAdelaideSouth AustraliaAustralia
- South Australian Health and Medical Research InstituteAdelaideSouth AustraliaAustralia
| | - Iqbal Madakkatel
- Australian Centre for Precision Health, Unit of Clinical and Health SciencesUniversity of South AustraliaAdelaideSouth AustraliaAustralia
- South Australian Health and Medical Research InstituteAdelaideSouth AustraliaAustralia
| | - David Stacey
- Australian Centre for Precision Health, Unit of Clinical and Health SciencesUniversity of South AustraliaAdelaideSouth AustraliaAustralia
- South Australian Health and Medical Research InstituteAdelaideSouth AustraliaAustralia
| | - S. Hong Lee
- Australian Centre for Precision Health, Unit of Clinical and Health SciencesUniversity of South AustraliaAdelaideSouth AustraliaAustralia
- South Australian Health and Medical Research InstituteAdelaideSouth AustraliaAustralia
- UniSA Allied Health & Human PerformanceUniversity of South AustraliaAdelaideSouth AustraliaAustralia
| | - Johanna Mäenpää
- Faculty of Medicine and Medical TechnologyTampere UniversityTampereFinland
- Cancer Centre, Tampere University and University HospitalTampereFinland
| | - Martin K. Oehler
- Department of Gynaecological OncologyRoyal Adelaide HospitalAdelaideSouth AustraliaAustralia
- Adelaide Medical School, Robinson Research Institute, University of AdelaideAdelaideSouth AustraliaAustralia
| | - Elina Hyppönen
- Australian Centre for Precision Health, Unit of Clinical and Health SciencesUniversity of South AustraliaAdelaideSouth AustraliaAustralia
- South Australian Health and Medical Research InstituteAdelaideSouth AustraliaAustralia
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Chi X, Zhang N, Zhang L, Fan F, Jia J, Xu M, Li J. Effects of body mass index and blood pressure on atrioventricular block: Two-sample mendelian randomization. Heart Rhythm 2024; 21:174-183. [PMID: 37918507 DOI: 10.1016/j.hrthm.2023.10.024] [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: 08/29/2023] [Revised: 10/12/2023] [Accepted: 10/26/2023] [Indexed: 11/04/2023]
Abstract
BACKGROUND Observational studies have suggested associations between some atherogenic risk factors and atrioventricular (AV) block. OBJECTIVE The purpose of this study was to investigate the causal effects of several cardiometabolic exposures on AV block and evaluate the role of coronary artery disease (CAD) as a mediator on the causal pathway by mendelian randomization analysis. METHODS Two-sample bidirectional mendelian randomization was performed to assess the causal effects of cardiometabolic traits on AV block and examine causality inversely. The exposures of interest included body mass index (BMI), systolic blood pressure (SBP), diastolic blood pressure (DBP), fasting glucose, fasting insulin, low-density lipoprotein, high-density lipoprotein, and triglyceride. Multivariable mendelian randomization was then conducted to disentangle the effect of each significant exposure. Mediation effect of CAD on the causal pathways were estimated by two-step, two-sample mendelian randomization. RESULTS Genetically predicted elevation of BMI (odds ratio [OR] 1.40; 95% confidence interval [CI] 1.10-1.78; P = .006), SBP (OR 1.02; 95% CI 1.00-1.03; P = .015), and DBP (OR 1.04; 95% CI 1.01-1.07; P = .005) were significantly associated with increased AV block risk. Effects of the other exposures were insignificant. There were no reverse causal effects. Multivariable mendelian randomization showed causal effects of increased BMI, SBP, and DBP on AV block after mutual adjustment. CAD mediated 14.20% (8.82%, 16.46%), 26.32% (25.00%, 26.47,%) and 12.20% (7.69%, 15.94%) of AV block risk from BMI, SBP and DBP, respectively. CONCLUSION Elevated BMI, SBP, and DBP exhibited causal effects on AV block. The impacts were partly mediated by CAD.
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Affiliation(s)
- Xiying Chi
- Department of Cardiology, Peking University First Hospital, Xicheng District, Beijing, China; Institute of Cardiovascular Disease, Peking University First Hospital, Xicheng District, Beijing, China
| | - Nan Zhang
- Department of Cardiology, Peking University First Hospital, Xicheng District, Beijing, China; Institute of Cardiovascular Disease, Peking University First Hospital, Xicheng District, Beijing, China
| | - Long Zhang
- Department of Cardiology, Peking University First Hospital, Xicheng District, Beijing, China; Institute of Cardiovascular Disease, Peking University First Hospital, Xicheng District, Beijing, China
| | - Fangfang Fan
- Department of Cardiology, Peking University First Hospital, Xicheng District, Beijing, China; Institute of Cardiovascular Disease, Peking University First Hospital, Xicheng District, Beijing, China
| | - Jia Jia
- Department of Cardiology, Peking University First Hospital, Xicheng District, Beijing, China; Institute of Cardiovascular Disease, Peking University First Hospital, Xicheng District, Beijing, China
| | - Ming Xu
- Department of Cardiology and Institute of Vascular Medicine, Peking University Third Hospital, Haidian District, Beijing, China
| | - Jianping Li
- Department of Cardiology, Peking University First Hospital, Xicheng District, Beijing, China; Institute of Cardiovascular Disease, Peking University First Hospital, Xicheng District, Beijing, China; State Key Laboratory of Vascular Homeostasis and Remodeling, Peking University, Beijing, China; NHC Key Laboratory of Cardiovascular Molecular Biology and Regulatory Peptides, Peking University, Beijing, China.
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Camps-Vilaró A, Pinsach-Abuin ML, Degano IR, Ramos R, Martí-Lluch R, Elosua R, Subirana I, Solà-Richarte C, Puigmulé M, Pérez A, Vilaró I, Cruz R, Diz-de Almeida S, Nogues X, Masclans JR, Güerri-Fernández R, Marin J, Tizon-Marcos H, Vaquerizo B, Brugada R, Marrugat J. Genetic characteristics involved in COVID-19 severity. The CARGENCORS case-control study and meta-analysis. J Med Virol 2024; 96:e29404. [PMID: 38293834 DOI: 10.1002/jmv.29404] [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: 09/13/2023] [Revised: 11/30/2023] [Accepted: 01/04/2024] [Indexed: 02/01/2024]
Abstract
Pre-existing coronary artery disease (CAD), and thrombotic, inflammatory, or virus infectivity response phenomena have been associated with COVID-19 disease severity. However, the association of candidate single nucleotide variants (SNVs) related to mechanisms of COVID-19 complications has been seldom analysed. Our aim was to test and validate the effect of candidate SNVs on COVID-19 severity. CARGENCORS (CARdiovascular GENetic risk score for Risk Stratification of patients positive for SARS-CoV-2 [COVID-19] virus) is an age- and sex-matched case-control study with 818 COVID-19 cases hospitalized with hypoxemia, and 1636 controls with COVID-19 treated at home. The association between severity and SNVs related to CAD (n = 32), inflammation (n = 19), thrombosis (n = 14), virus infectivity (n = 11), and two published to be related to COVID-19 severity was tested with adjusted logistic regression models. Two external independent cohorts were used for meta-analysis (SCOURGE and UK Biobank). After adjustment for potential confounders, 14 new SNVs were associated with COVID-19 severity in the CARGENCORS Study. These SNVs were related to CAD (n = 10), thrombosis (n = 2), and inflammation (n = 2). We also confirmed eight SNVs previously related to severe COVID-19 and virus infectivity. The meta-analysis showed five SNVs associated with severe COVID-19 in adjusted analyses (rs11385942, rs1561198, rs6632704, rs6629110, and rs12329760). We identified 14 novel SNVs and confirmed eight previously related to COVID-19 severity in the CARGENCORS data. In the meta-analysis, five SNVs were significantly associated to COVID-19 severity, one of them previously related to CAD.
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Affiliation(s)
- Anna Camps-Vilaró
- Registre Gironí del Cor (REGICOR) Study Group, Hospital del Mar Research Institute (IMIM), Barcelona, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Cardiovasculares, Instituto de Salud Carlos III, Madrid, Spain
- Doctoral College, University of Vic-Central University of Catalonia (UVic-UCC), Vic, Spain
| | - Mel Lina Pinsach-Abuin
- Cardiovascular Genetics Center, Institut d'Investigació Biomèdica de Girona Dr. Josep Trueta (IdIBGi), Salt, Spain
| | - Irene R Degano
- Registre Gironí del Cor (REGICOR) Study Group, Hospital del Mar Research Institute (IMIM), Barcelona, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Cardiovasculares, Instituto de Salud Carlos III, Madrid, Spain
- Faculty of Medicine, University of Vic-Central University of Catalonia (UVic-UCC), Vic, Spain
- Institute for Research and Innovation in Life Sciences and Health in Central Catalonia (IRIS-CC), Vic, Spain
| | - Rafel Ramos
- Medical Science Department, School of Medicine, University of Girona, Girona, Spain
- Vascular Health Research Group, Institut Universitari per a la Recerca en Atenció Primària Jordi Gol i Gurina, Girona, Spain
- Girona Biomedical Research Institute, Girona, Spain
- Primary Care Services, Catalan Institute of Health, Girona, Spain
| | - Ruth Martí-Lluch
- Vascular Health Research Group, Institut Universitari per a la Recerca en Atenció Primària Jordi Gol i Gurina, Girona, Spain
- Girona Biomedical Research Institute, Girona, Spain
| | - Roberto Elosua
- Centro de Investigación Biomédica en Red de Enfermedades Cardiovasculares, Instituto de Salud Carlos III, Madrid, Spain
- Faculty of Medicine, University of Vic-Central University of Catalonia (UVic-UCC), Vic, Spain
- Cardiovascular Epidemiology and Genetics Group, Hospital del Mar Research Institute (IMIM), Barcelona, Spain
| | - Isaac Subirana
- Centro de Investigación Biomédica en Red de Enfermedades Cardiovasculares, Instituto de Salud Carlos III, Madrid, Spain
- Cardiovascular Epidemiology and Genetics Group, Hospital del Mar Research Institute (IMIM), Barcelona, Spain
| | - Clàudia Solà-Richarte
- Registre Gironí del Cor (REGICOR) Study Group, Hospital del Mar Research Institute (IMIM), Barcelona, Spain
| | - Marta Puigmulé
- Centro de Investigación Biomédica en Red de Enfermedades Cardiovasculares, Instituto de Salud Carlos III, Madrid, Spain
| | - Alexandra Pérez
- Cardiovascular Genetics Center, Institut d'Investigació Biomèdica de Girona Dr. Josep Trueta (IdIBGi), Salt, Spain
| | | | - Raquel Cruz
- Centro Singular de Investigación en Medicina Molecular y Enfermedades Crónicas (CIMUS), Universidade de Santiago de Compostela, Santiago de Compostela, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Raras, Instituto de Salud Carlos III, Madrid, Spain
| | - Silvia Diz-de Almeida
- Centro Singular de Investigación en Medicina Molecular y Enfermedades Crónicas (CIMUS), Universidade de Santiago de Compostela, Santiago de Compostela, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Raras, Instituto de Salud Carlos III, Madrid, Spain
| | - Xavier Nogues
- Musculoskeletal Research Unit, Hospital del Mar Research Institute (IMIM), Barcelona, Spain
- Department of Internal Medicine, Hospital del Mar, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Fragilidad y Envejecimiento Saludable, Instituto de Salud Carlos III, Madrid, Spain
- Department of Medicine, Universitat Autònoma de Barcelona (UAB), Bellaterra, Spain
| | - Joan R Masclans
- Critical Illness Research Group (GREPAC), Hospital del Mar Research Institute (IMIM), Barcelona, Spain
- Department of Critical Care, Hospital del Mar, Barcelona, Spain
- Medicine and Life Sciences department, Universitat Pompeu Fabra (UPF), Barcelona, Spain
| | - Roberto Güerri-Fernández
- Department of Medicine, Universitat Autònoma de Barcelona (UAB), Bellaterra, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Infecciosas, Instituto de Salud Carlos III, Madrid, Spain
- Department of Infectious Diseases, Hospital del Mar Research Institute, Barcelona, Spain
| | - Judith Marin
- Critical Illness Research Group (GREPAC), Hospital del Mar Research Institute (IMIM), Barcelona, Spain
- Department of Critical Care, Hospital del Mar, Barcelona, Spain
| | - Helena Tizon-Marcos
- Centro de Investigación Biomédica en Red de Enfermedades Cardiovasculares, Instituto de Salud Carlos III, Madrid, Spain
- Biomedical Research in Heart Diseases Group, Hospital del Mar Research Institute (IMIM), Barcelona, Spain
- Department of Cardiology, Hospital del Mar, Barcelona, Spain
| | - Beatriz Vaquerizo
- Centro de Investigación Biomédica en Red de Enfermedades Cardiovasculares, Instituto de Salud Carlos III, Madrid, Spain
- Department of Medicine, Universitat Autònoma de Barcelona (UAB), Bellaterra, Spain
- Biomedical Research in Heart Diseases Group, Hospital del Mar Research Institute (IMIM), Barcelona, Spain
- Department of Cardiology, Hospital del Mar, Barcelona, Spain
| | - Ramon Brugada
- Centro de Investigación Biomédica en Red de Enfermedades Cardiovasculares, Instituto de Salud Carlos III, Madrid, Spain
- Cardiovascular Genetics Center, Institut d'Investigació Biomèdica de Girona Dr. Josep Trueta (IdIBGi), Salt, Spain
- Medical Science Department, School of Medicine, University of Girona, Girona, Spain
- Department of Cardiology, Hospital Josep Trueta & University of Girona, Girona, Spain
| | - Jaume Marrugat
- Registre Gironí del Cor (REGICOR) Study Group, Hospital del Mar Research Institute (IMIM), Barcelona, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Cardiovasculares, Instituto de Salud Carlos III, Madrid, Spain
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Hartwell EE, Jinwala Z, Milone J, Ramirez S, Gelernter J, Kranzler HR, Kember RL. Application of polygenic scores to a deeply phenotyped sample enriched for substance use disorders reveals extensive pleiotropy with psychiatric and medical traits. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.01.22.24301615. [PMID: 38343859 PMCID: PMC10854354 DOI: 10.1101/2024.01.22.24301615] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/07/2024]
Abstract
Co-occurring psychiatric, medical, and substance use disorders (SUDs) are common, but the complex pathways leading to such comorbidities are poorly understood. A greater understanding of genetic influences on this phenomenon could inform precision medicine efforts. We used the Yale-Penn dataset, a cross-sectional sample enriched for individuals with SUDs, to examine pleiotropic effects of genetic liability for psychiatric and medical traits. Participants completed an in-depth interview that provides information on demographics, environment, medical illnesses, and psychiatric and SUDs. Polygenic scores (PGS) for psychiatric disorders and medical traits were calculated in European-ancestry (EUR; n=5,691) participants and, when discovery datasets were available, for African-ancestry (AFR; n=4,918) participants. Phenome-wide association studies (PheWAS) were then conducted. In AFR participants, the only PGS with significant associations was bipolar disorder (BD), all of which were with substance use phenotypes. In EUR participants, PGS for major depressive disorder (MDD), generalized anxiety disorder (GAD), post-traumatic stress disorder (PTSD), schizophrenia (SCZ), body mass index (BMI), coronary artery disease (CAD), and type 2 diabetes (T2D) all showed significant associations, the majority of which were with phenotypes in the substance use categories. For instance, PGS MDD was associated with over 200 phenotypes, 15 of which were depression-related (e.g., depression criterion count), 55 of which were other psychiatric phenotypes, and 126 of which were substance use phenotypes; and PGS BMI was associated with 138 phenotypes, 105 of which were substance related. Genetic liability for psychiatric and medical traits is associated with numerous phenotypes across multiple categories, indicative of the broad genetic liability of these traits.
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36
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Björnson E, Adiels M, Taskinen MR, Burgess S, Chapman MJ, Packard CJ, Borén J. Lipoprotein(a) Is Markedly More Atherogenic Than LDL: An Apolipoprotein B-Based Genetic Analysis. J Am Coll Cardiol 2024; 83:385-395. [PMID: 38233012 DOI: 10.1016/j.jacc.2023.10.039] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/27/2023] [Revised: 09/28/2023] [Accepted: 10/17/2023] [Indexed: 01/19/2024]
Abstract
BACKGROUND Lipoprotein(a) (Lp(a)) is recognized as a causal factor for coronary heart disease (CHD) but its atherogenicity relative to that of low-density lipoprotein (LDL) on a per-particle basis is indeterminate. OBJECTIVES The authors addressed this issue in a genetic analysis based on the fact that Lp(a) and LDL both contain 1 apolipoprotein B (apoB) per particle. METHODS Genome-wide association studies using the UK Biobank population identified 2 clusters of single nucleotide polymorphisms: one comprising 107 variants linked to Lp(a) mass concentration, the other with 143 variants linked to LDL concentration. In these Lp(a) and LDL clusters, the relationship of genetically predicted variation in apoB with CHD risk was assessed. RESULTS The Mendelian randomization-derived OR for CHD for a 50 nmol/L higher Lp(a)-apoB was 1.28 (95% CI: 1.24-1.33) compared with 1.04 (95% CI: 1.03-1.05) for the same increment in LDL-apoB. Likewise, use of polygenic scores to rank subjects according to difference in Lp(a)-apoB vs difference in LDL-apoB revealed a greater HR for CHD per 50 nmol/L apoB for the Lp(a) cluster (1.47; 95% CI: 1.36-1.58) compared with the LDL cluster (1.04; 95% CI: 1.02-1.05). From these data, we estimate that the atherogenicity of Lp(a) is approximately 6-fold (point estimate of 6.6; 95% CI: 5.1-8.8) greater than that of LDL on a per-particle basis. CONCLUSIONS We conclude that the atherogenicity of Lp(a) (CHD risk quotient per unit increase in particle number) is substantially greater than that of LDL. Therefore, Lp(a) represents a key target for drug-based intervention in a significant proportion of the at-risk population.
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Affiliation(s)
- Elias Björnson
- Department of Molecular and Clinical Medicine, University of Gothenburg, Gothenburg, Sweden
| | - Martin Adiels
- Department of Molecular and Clinical Medicine, University of Gothenburg, Gothenburg, Sweden; School of Public Health and Community Medicine, Institute of Medicine, University of Gothenburg, Gothenburg, Sweden
| | - Marja-Riitta Taskinen
- Research Program for Clinical and Molecular Metabolism, University of Helsinki, Helsinki, Finland
| | - Stephen Burgess
- MRC Biostatistics Unit, University of Cambridge, Cambridge, United Kingdom; Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom
| | - M John Chapman
- Faculty of Medicine, Sorbonne University, and Cardiovascular Disease Prevention Unit, Pitie-Salpetriere Hospital, Paris, France
| | - Chris J Packard
- Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, United Kingdom
| | - Jan Borén
- Department of Molecular and Clinical Medicine, University of Gothenburg, Gothenburg, Sweden.
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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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Hodonsky CJ, Turner AW, Khan MD, Barrientos NB, Methorst R, Ma L, Lopez NG, Mosquera JV, Auguste G, Farber E, Ma WF, Wong D, Onengut-Gumuscu S, Kavousi M, Peyser PA, van der Laan SW, Leeper NJ, Kovacic JC, Björkegren JLM, Miller CL. Multi-ancestry genetic analysis of gene regulation in coronary arteries prioritizes disease risk loci. CELL GENOMICS 2024; 4:100465. [PMID: 38190101 PMCID: PMC10794848 DOI: 10.1016/j.xgen.2023.100465] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/17/2023] [Revised: 09/07/2023] [Accepted: 11/19/2023] [Indexed: 01/09/2024]
Abstract
Genome-wide association studies (GWASs) have identified hundreds of risk loci for coronary artery disease (CAD). However, non-European populations are underrepresented in GWASs, and the causal gene-regulatory mechanisms of these risk loci during atherosclerosis remain unclear. We incorporated local ancestry and haplotypes to identify quantitative trait loci for expression (eQTLs) and splicing (sQTLs) in coronary arteries from 138 ancestrally diverse Americans. Of 2,132 eQTL-associated genes (eGenes), 47% were previously unreported in coronary artery; 19% exhibited cell-type-specific expression. Colocalization revealed subgroups of eGenes unique to CAD and blood pressure GWAS. Fine-mapping highlighted additional eGenes, including TBX20 and IL5. We also identified sQTLs for 1,690 genes, among which TOR1AIP1 and ULK3 sQTLs demonstrated the importance of evaluating splicing to accurately identify disease-relevant isoform expression. Our work provides a patient-derived coronary artery eQTL resource and exemplifies the need for diverse study populations and multifaceted approaches to characterize gene regulation in disease processes.
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Affiliation(s)
- Chani J Hodonsky
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA 22908, USA
| | - Adam W Turner
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA 22908, USA
| | - Mohammad Daud Khan
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA 22908, USA
| | - Nelson B Barrientos
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA 22908, USA; Department of Genetic Medicine, Johns Hopkins University, Baltimore, MD 21205, USA
| | - Ruben Methorst
- Central Diagnostics Laboratory, Division Laboratories, Pharmacy, and Biomedical Genetics, University Medical Center Utrecht, Utrecht University, 3584 CX Utrecht, the Netherlands
| | - Lijiang Ma
- Department of Genetics and Genomic Sciences, Icahn Institute for Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Nicolas G Lopez
- Division of Vascular Surgery, Department of Surgery, Stanford University, Stanford, CA 94305, USA
| | - Jose Verdezoto Mosquera
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA 22908, USA; Department of Biochemistry and Molecular Genetics, University of Virginia, Charlottesville, VA 22908, USA
| | - Gaëlle Auguste
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA 22908, USA
| | - Emily Farber
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA 22908, USA
| | - Wei Feng Ma
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA 22908, USA; Medical Scientist Training Program, Department of Pathology, University of Virginia, Charlottesville, VA 22908, USA
| | - Doris Wong
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA 22908, USA; Department of Biochemistry and Molecular Genetics, University of Virginia, Charlottesville, VA 22908, USA
| | - Suna Onengut-Gumuscu
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA 22908, USA
| | - Maryam Kavousi
- Department of Epidemiology, Erasmus University Medical Center, 3000 CA Rotterdam, the Netherlands
| | - Patricia A Peyser
- Department of Epidemiology, University of Michigan, Ann Arbor, MI 48019, USA
| | - Sander W van der Laan
- Central Diagnostics Laboratory, Division Laboratories, Pharmacy, and Biomedical Genetics, University Medical Center Utrecht, Utrecht University, 3584 CX Utrecht, the Netherlands
| | - Nicholas J Leeper
- Division of Vascular Surgery, Department of Surgery, Stanford University, Stanford, CA 94305, USA
| | - Jason C Kovacic
- Cardiovascular Research Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Victor Chang Cardiac Research Institute, Darlinghurst, NSW 2010, Australia; St. Vincent's Clinical School, University of New South Wales, Sydney, NSW 2052, Australia
| | - Johan L M Björkegren
- Department of Genetics and Genomic Sciences, Icahn Institute for Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Department of Medicine, Huddinge, Karolinska Institutet, 141 52 Huddinge, Sweden
| | - Clint L Miller
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA 22908, USA; Division of Vascular Surgery, Department of Surgery, Stanford University, Stanford, CA 94305, USA; Department of Public Health Sciences, University of Virginia, Charlottesville, VA 22908, USA.
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Jiang W, Chen L, Girgenti MJ, Zhao H. Tuning parameters for polygenic risk score methods using GWAS summary statistics from training data. Nat Commun 2024; 15:24. [PMID: 38169469 PMCID: PMC10762162 DOI: 10.1038/s41467-023-44009-0] [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: 05/15/2023] [Accepted: 11/27/2023] [Indexed: 01/05/2024] Open
Abstract
Various polygenic risk scores (PRS) methods have been proposed to combine the estimated effects of single nucleotide polymorphisms (SNPs) to predict genetic risks for common diseases, using data collected from genome-wide association studies (GWAS). Some methods require external individual-level GWAS dataset for parameter tuning, posing privacy and security-related concerns. Leaving out partial data for parameter tuning can also reduce model prediction accuracy. In this article, we propose PRStuning, a method that tunes parameters for different PRS methods using GWAS summary statistics from the training data. PRStuning predicts the PRS performance with different parameters, and then selects the best-performing parameters. Because directly using training data effects tends to overestimate the performance in the testing data, we adopt an empirical Bayes approach to shrinking the predicted performance in accordance with the genetic architecture of the disease. Extensive simulations and real data applications demonstrate PRStuning's accuracy across PRS methods and parameters.
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Affiliation(s)
- Wei Jiang
- Department of Biostatistics, Yale School of Public Health, New Haven, CT, USA
| | - Ling Chen
- Department of Statistics, Columbia University, New York, NY, USA
| | | | - Hongyu Zhao
- Department of Biostatistics, Yale School of Public Health, New Haven, CT, USA.
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Rouault P, Guimbal S, Cornuault L, Bourguignon C, Foussard N, Alzieu P, Choveau F, Benoist D, Chapouly C, Gadeau AP, Couffinhal T, Renault MA. Thrombosis in the Coronary Microvasculature Impairs Cardiac Relaxation and Induces Diastolic Dysfunction. Arterioscler Thromb Vasc Biol 2024; 44:e1-e18. [PMID: 38031839 DOI: 10.1161/atvbaha.123.320040] [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: 08/22/2023] [Accepted: 11/14/2023] [Indexed: 12/01/2023]
Abstract
BACKGROUND Heart failure with preserved ejection fraction is proposed to be caused by endothelial dysfunction in cardiac microvessels. Our goal was to identify molecular and cellular mechanisms underlying the development of cardiac microvessel disease and diastolic dysfunction in the setting of type 2 diabetes. METHODS We used Leprdb/db (leptin receptor-deficient) female mice as a model of type 2 diabetes and heart failure with preserved ejection fraction and identified Hhipl1 (hedgehog interacting protein-like 1), which encodes for a decoy receptor for HH (hedgehog) ligands as a gene upregulated in the cardiac vascular fraction of diseased mice. RESULTS We then used Dhh (desert HH)-deficient mice to investigate the functional consequences of impaired HH signaling in the adult heart. We found that Dhh-deficient mice displayed increased end-diastolic pressure while left ventricular ejection fraction was comparable to that of control mice. This phenotype was associated with a reduced exercise tolerance in the treadmill test, suggesting that Dhh-deficient mice do present heart failure. At molecular and cellular levels, impaired cardiac relaxation in DhhECKO mice was associated with a significantly decreased PLN (phospholamban) phosphorylation on Thr17 (threonine 17) and an alteration of sarcomeric shortening ex vivo. Besides, as expected, Dhh-deficient mice exhibited phenotypic changes in their cardiac microvessels including a prominent prothrombotic phenotype. Importantly, aspirin therapy prevented the occurrence of both diastolic dysfunction and exercise intolerance in these mice. To confirm the critical role of thrombosis in the pathophysiology of diastolic dysfunction, we verified Leprdb/db also displays increased cardiac microvessel thrombosis. Moreover, consistently, with Dhh-deficient mice, we found that aspirin treatment decreased end-diastolic pressure and improved exercise tolerance in Leprdb/db mice. CONCLUSIONS Altogether, these results demonstrate that microvessel thrombosis may participate in the pathophysiology of heart failure with preserved ejection fraction.
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Affiliation(s)
- Paul Rouault
- Institut National de la Santé et de la Recherche Médicale (INSERM) U1034, Biology of Cardiovascular Diseases, University of Bordeaux, Pessac, France (P.R., S.G., L.C., C.B., N.F., P.A., C.C., A.-P.G., T.C., M.-A.R.)
| | - Sarah Guimbal
- Institut National de la Santé et de la Recherche Médicale (INSERM) U1034, Biology of Cardiovascular Diseases, University of Bordeaux, Pessac, France (P.R., S.G., L.C., C.B., N.F., P.A., C.C., A.-P.G., T.C., M.-A.R.)
| | - Lauriane Cornuault
- Institut National de la Santé et de la Recherche Médicale (INSERM) U1034, Biology of Cardiovascular Diseases, University of Bordeaux, Pessac, France (P.R., S.G., L.C., C.B., N.F., P.A., C.C., A.-P.G., T.C., M.-A.R.)
| | - Célia Bourguignon
- Institut National de la Santé et de la Recherche Médicale (INSERM) U1034, Biology of Cardiovascular Diseases, University of Bordeaux, Pessac, France (P.R., S.G., L.C., C.B., N.F., P.A., C.C., A.-P.G., T.C., M.-A.R.)
| | - Ninon Foussard
- Institut National de la Santé et de la Recherche Médicale (INSERM) U1034, Biology of Cardiovascular Diseases, University of Bordeaux, Pessac, France (P.R., S.G., L.C., C.B., N.F., P.A., C.C., A.-P.G., T.C., M.-A.R.)
| | - Philippe Alzieu
- Institut National de la Santé et de la Recherche Médicale (INSERM) U1034, Biology of Cardiovascular Diseases, University of Bordeaux, Pessac, France (P.R., S.G., L.C., C.B., N.F., P.A., C.C., A.-P.G., T.C., M.-A.R.)
| | - Frank Choveau
- INSERM U1045, CRCTB (Centre de recherche cardio-thoracique de Bordeaux), IHU Liryc (Institut Hospitalo Universitaire des maladies du rythme cardiaque), University of Bordeaux, France (F.C., D.B.)
| | - David Benoist
- INSERM U1045, CRCTB (Centre de recherche cardio-thoracique de Bordeaux), IHU Liryc (Institut Hospitalo Universitaire des maladies du rythme cardiaque), University of Bordeaux, France (F.C., D.B.)
| | - Candice Chapouly
- Institut National de la Santé et de la Recherche Médicale (INSERM) U1034, Biology of Cardiovascular Diseases, University of Bordeaux, Pessac, France (P.R., S.G., L.C., C.B., N.F., P.A., C.C., A.-P.G., T.C., M.-A.R.)
| | - Alain-Pierre Gadeau
- Institut National de la Santé et de la Recherche Médicale (INSERM) U1034, Biology of Cardiovascular Diseases, University of Bordeaux, Pessac, France (P.R., S.G., L.C., C.B., N.F., P.A., C.C., A.-P.G., T.C., M.-A.R.)
| | - Thierry Couffinhal
- Institut National de la Santé et de la Recherche Médicale (INSERM) U1034, Biology of Cardiovascular Diseases, University of Bordeaux, Pessac, France (P.R., S.G., L.C., C.B., N.F., P.A., C.C., A.-P.G., T.C., M.-A.R.)
| | - Marie-Ange Renault
- Institut National de la Santé et de la Recherche Médicale (INSERM) U1034, Biology of Cardiovascular Diseases, University of Bordeaux, Pessac, France (P.R., S.G., L.C., C.B., N.F., P.A., C.C., A.-P.G., T.C., M.-A.R.)
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Garrido AO, Picazo B, Guadix JA, Ruiz-Villalba A, Pérez-Pomares JM. The Genetics of Human Congenital Coronary Vascular Anomalies. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2024; 1441:811-816. [PMID: 38884750 DOI: 10.1007/978-3-031-44087-8_48] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/18/2024]
Abstract
The genetics of human congenital coronary vascular anomalies (hCCVA) remains largely underresearched. This is surprising, because although coronary vascular defects represent a relatively small proportion of human congenital heart disease (CHD), hCCVAs are clinically significant conditions. Indeed, hCCVA frequently associate to other congenital cardiac structural defects and may even result in sudden cardiac death in the adult. In this brief chapter, we will attempt to summarize our current knowledge on the topic, also proposing a rationale for the development of novel approaches to the genetics of hCCVA.
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Affiliation(s)
| | - Beatriz Picazo
- Hospital Materno Infantil-Hospital Carlos de Haya, Málaga, Spain
| | - Juan Antonio Guadix
- Department of Animal Biology, Faculty of Sciences, University of Málaga, Málaga, Spain
- Instituto de Biomedicina de Málaga (IBIMA)-Plataforma BIONAND, Málaga, Spain
| | - Adrián Ruiz-Villalba
- Department of Animal Biology, Faculty of Sciences, University of Málaga, Málaga, Spain
- Instituto de Biomedicina de Málaga (IBIMA)-Plataforma BIONAND, Málaga, Spain
| | - José M Pérez-Pomares
- Department of Animal Biology, Faculty of Sciences, University of Málaga, Málaga, Spain.
- Instituto de Biomedicina de Málaga (IBIMA)-Plataforma BIONAND, Málaga, Spain.
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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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Yu TH, Lee TL, Tsai IT, Hsuan CF, Wang CP, Lu YC, Tang WH, Wei CT, Chung FM, Lee YJ, Wu CC. Transcription factor 21 rs12190287 polymorphism is related to stable angina and ST elevation myocardial infarction in a Chinese Population. Int J Med Sci 2024; 21:483-491. [PMID: 38250610 PMCID: PMC10797673 DOI: 10.7150/ijms.89901] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/06/2023] [Accepted: 12/20/2023] [Indexed: 01/23/2024] Open
Abstract
Background: Transcription factor 21 (TCF21, epicardin, capsuling, pod-1) is expressed in the epicardium and is involved in the regulation of cell fate and differentiation via epithelial-mesenchymal transformation during development of the heart. In addition, TCF21 can suppress the differentiation of epicardial cells into vascular smooth muscle cells and promote cardiac fibroblast development. This study aimed to explore whether TCF21 gene (12190287G/C) variants affect coronary artery disease risk. Methods: We enrolled 381 patients who had stable angina, 138 with ST elevation myocardial infarction (STEMI), and 276 healthy subjects. Genotyping of rs12190287 of the TCF21 gene was performed. Results: Higher frequencies of the CC genotype were found in the patients with stable angina/STEMI than in the healthy controls. After adjusting for diabetes mellitus, hypertension, age, sex, smoking, body mass index and hyperlipidemia, the patients with the CC genotype of the TCF21 gene were associated with 2.49- and 9.19-fold increased risks of stable angina and STEMI, respectively, compared to the patients with the GG genotype. Furthermore, TCF21 CC genotypes showed positive correlations with both stable angina and STEMI, whereas TCF21 GG genotypes exhibited a negative correlation with STEMI. Moreover, the stable angina and STEMI patients with the CC genotype had significantly elevated high-sensitivity C-reactive protein levels than those with the GG genotype. In addition, significant associations were found between type 2 diabetes mellitus, hypertension, and hyperlipidemia with TCF21 gene polymorphisms (p for trend < 0.05). Conclusion: TCF21 gene polymorphisms may increase susceptibility to stable angina and STEMI.
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Affiliation(s)
- Teng-Hung Yu
- Division of Cardiology, Department of Internal Medicine, E-Da Hospital, I-Shou University, Kaohsiung 82445 Taiwan
- School of Medicine, College of Medicine, I-Shou University, Kaohsiung, 82445 Taiwan
| | - Thung-Lip Lee
- Division of Cardiology, Department of Internal Medicine, E-Da Hospital, I-Shou University, Kaohsiung 82445 Taiwan
- School of Medicine for International Students, College of Medicine, I-Shou University, Kaohsiung, 82445 Taiwan
| | - I-Ting Tsai
- School of Medicine, College of Medicine, I-Shou University, Kaohsiung, 82445 Taiwan
- Department of Emergency, E-Da Hospital, I-Shou University, Kaohsiung 82445 Taiwan
| | - Chin-Feng Hsuan
- Division of Cardiology, Department of Internal Medicine, E-Da Hospital, I-Shou University, Kaohsiung 82445 Taiwan
- School of Medicine, College of Medicine, I-Shou University, Kaohsiung, 82445 Taiwan
- Division of Cardiology, Department of Internal Medicine, E-Da Dachang Hospital, I-Shou University, Kaohsiung 807066, Taiwan
| | - Chao-Ping Wang
- Division of Cardiology, Department of Internal Medicine, E-Da Hospital, I-Shou University, Kaohsiung 82445 Taiwan
- School of Medicine for International Students, College of Medicine, I-Shou University, Kaohsiung, 82445 Taiwan
| | - Yung-Chuan Lu
- School of Medicine for International Students, College of Medicine, I-Shou University, Kaohsiung, 82445 Taiwan
- Division of Endocrinology and Metabolism, Department of Internal Medicine, E-Da Hospital, I-Shou University, Kaohsiung 82445 Taiwan
| | - Wei-Hua Tang
- Division of Cardiology, Department of Internal Medicine, Taipei Veterans General Hospital, Yuli Branch, Hualien 98142 Taiwan
- Faculty of Medicine, School of Medicine, National Yang Ming Chiao Tung University, Taipei 112304 Taiwan
| | - Ching-Ting Wei
- Division of General Surgery, Department of Surgery, E-Da Hospital, I-Shou University, Kaohsiung 82445 Taiwan
- The School of Chinese Medicine for Post Baccalaureate, College of Medicine, I-Shou University, Kaohsiung 82445 Taiwan
| | - Fu-Mei Chung
- Division of Cardiology, Department of Internal Medicine, E-Da Hospital, I-Shou University, Kaohsiung 82445 Taiwan
| | | | - Cheng-Ching Wu
- Division of Cardiology, Department of Internal Medicine, E-Da Hospital, I-Shou University, Kaohsiung 82445 Taiwan
- School of Medicine, College of Medicine, I-Shou University, Kaohsiung, 82445 Taiwan
- Division of Cardiology, Department of Internal Medicine, E-Da Cancer Hospital, I-Shou University, Kaohsiung 82445 Taiwan
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44
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Laighneach A, Kelly JP, Desbonnet L, Holleran L, Kerr DM, McKernan D, Donohoe G, Morris DW. Social isolation-induced transcriptomic changes in mouse hippocampus impact the synapse and show convergence with human genetic risk for neurodevelopmental phenotypes. PLoS One 2023; 18:e0295855. [PMID: 38127959 PMCID: PMC10735045 DOI: 10.1371/journal.pone.0295855] [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: 09/11/2023] [Accepted: 11/30/2023] [Indexed: 12/23/2023] Open
Abstract
Early life stress (ELS) can impact brain development and is a risk factor for neurodevelopmental disorders such as schizophrenia. Post-weaning social isolation (SI) is used to model ELS in animals, using isolation stress to disrupt a normal developmental trajectory. We aimed to investigate how SI affects the expression of genes in mouse hippocampus and to investigate how these changes related to the genetic basis of neurodevelopmental phenotypes. BL/6J mice were exposed to post-weaning SI (PD21-25) or treated as group-housed controls (n = 7-8 per group). RNA sequencing was performed on tissue samples from the hippocampus of adult male and female mice. Four hundred and 1,215 differentially-expressed genes (DEGs) at a false discovery rate of < 0.05 were detected between SI and control samples for males and females respectively. DEGS for both males and females were significantly overrepresented in gene ontologies related to synaptic structure and function, especially the post-synapse. DEGs were enriched for common variant (SNP) heritability in humans that contributes to risk of neuropsychiatric disorders (schizophrenia, bipolar disorder) and to cognitive function. DEGs were also enriched for genes harbouring rare de novo variants that contribute to autism spectrum disorder and other developmental disorders. Finally, cell type analysis revealed populations of hippocampal astrocytes that were enriched for DEGs, indicating effects in these cell types as well as neurons. Overall, these data suggest a convergence between genes dysregulated by the SI stressor in the mouse and genes associated with neurodevelopmental disorders and cognitive phenotypes in humans.
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Affiliation(s)
- Aodán Laighneach
- Centre for Neuroimaging, Cognition and Genomics (NICOG), School of Biological and Chemical Sciences and School of Psychology, University of Galway, Galway, Ireland
| | - John P. Kelly
- Discipline of Pharmacology and Therapeutics, School of Medicine, University of Galway, Galway, Ireland
| | - Lieve Desbonnet
- Discipline of Pharmacology and Therapeutics, School of Medicine, University of Galway, Galway, Ireland
| | - Laurena Holleran
- Centre for Neuroimaging, Cognition and Genomics (NICOG), School of Biological and Chemical Sciences and School of Psychology, University of Galway, Galway, Ireland
| | - Daniel M. Kerr
- Discipline of Pharmacology and Therapeutics, School of Medicine, University of Galway, Galway, Ireland
| | - Declan McKernan
- Discipline of Pharmacology and Therapeutics, School of Medicine, University of Galway, Galway, Ireland
| | - Gary Donohoe
- Centre for Neuroimaging, Cognition and Genomics (NICOG), School of Biological and Chemical Sciences and School of Psychology, University of Galway, Galway, Ireland
| | - Derek W. Morris
- Centre for Neuroimaging, Cognition and Genomics (NICOG), School of Biological and Chemical Sciences and School of Psychology, University of Galway, Galway, Ireland
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45
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Xu L, Zhou G, Jiang W, Guan L, Zhao H. Leveraging genetic correlations and multiple populations to improve genetic risk prediction for non-European populations. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.10.29.564615. [PMID: 37961111 PMCID: PMC10634936 DOI: 10.1101/2023.10.29.564615] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/15/2023]
Abstract
The disparity in genetic risk prediction accuracy between European and non-European individuals highlights a critical challenge in health inequality. To bridge this gap, we introduce JointPRS, a novel method that models multiple populations jointly to improve genetic risk predictions for non-European individuals. JointPRS has three key features. First, it encompasses all diverse populations to improve prediction accuracy, rather than relying solely on the target population with a singular auxiliary European group. Second, it autonomously estimates and leverages chromosome-wise cross-population genetic correlations to infer the effect sizes of genetic variants. Lastly, it provides an auto version that has comparable performance to the tuning version to accommodate the situation with no validation dataset. Through extensive simulations and real data applications to 22 quantitative traits and four binary traits in East Asian populations, nine quantitative traits and one binary trait in African populations, and four quantitative traits in South Asian populations, we demonstrate that JointPRS outperforms state-of-art methods, improving the prediction accuracy for both quantitative and binary traits in non-European populations.
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Affiliation(s)
- Leqi Xu
- Department of Biostatistics, Yale School of Public Health, New Haven, CT, USA
| | - Geyu Zhou
- Department of Biostatistics, Yale School of Public Health, New Haven, CT, USA
| | - Wei Jiang
- Department of Biostatistics, Yale School of Public Health, New Haven, CT, USA
| | - Leying Guan
- Department of Biostatistics, Yale School of Public Health, New Haven, CT, USA
- Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT, USA
| | - Hongyu Zhao
- Department of Biostatistics, Yale School of Public Health, New Haven, CT, USA
- Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT, USA
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46
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Zhong S, Yang W, Zhang Z, Xie Y, Pan L, Ren J, Ren F, Li Y, Xie H, Chen H, Deng D, Lu J, Li H, Wu B, Chen Y, Peng F, Puduvalli VK, Sai K, Li Y, Cheng Y, Mou Y. Association between viral infections and glioma risk: a two-sample bidirectional Mendelian randomization analysis. BMC Med 2023; 21:487. [PMID: 38053181 PMCID: PMC10698979 DOI: 10.1186/s12916-023-03142-9] [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: 02/17/2023] [Accepted: 10/30/2023] [Indexed: 12/07/2023] Open
Abstract
BACKGROUND Glioma is one of the leading types of brain tumor, but few etiologic factors of primary glioma have been identified. Previous observational research has shown an association between viral infection and glioma risk. In this study, we used Mendelian randomization (MR) analysis to explore the direction and magnitude of the causal relationship between viral infection and glioma. METHODS We conducted a two-sample bidirectional MR analysis using genome-wide association study (GWAS) data. Summary statistics data of glioma were collected from the largest meta-analysis GWAS, involving 12,488 cases and 18,169 controls. Single-nucleotide polymorphisms (SNPs) associated with exposures were used as instrumental variables to estimate the causal relationship between glioma and twelve types of viral infections from corresponding GWAS data. In addition, sensitivity analyses were performed. RESULTS After correcting for multiple tests and sensitivity analysis, we detected that genetically predicted herpes zoster (caused by Varicella zoster virus (VZV) infection) significantly decreased risk of low-grade glioma (LGG) development (OR = 0.85, 95% CI: 0.76-0.96, P = 0.01, FDR = 0.04). No causal effects of the other eleven viral infections on glioma and reverse causality were detected. CONCLUSIONS This is one of the first and largest studies in this field. We show robust evidence supporting that genetically predicted herpes zoster caused by VZV infection reduces risk of LGG. The findings of our research advance understanding of the etiology of glioma.
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Affiliation(s)
- Sheng Zhong
- State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-Sen University Cancer Center, Guangzhou, 510060, People's Republic of China
| | - Wenzhuo Yang
- State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-Sen University Cancer Center, Guangzhou, 510060, People's Republic of China
| | - Zhiyun Zhang
- Department of Plastic Surgery, The First Hospital of Jilin University, Changchun, 130000, People's Republic of China
| | - Yangyiran Xie
- Vanderbilt University School of Medicine, Vanderbilt University, 1161 21St Ave S # D3300, Nashville, TN, 37232, USA
| | - Lin Pan
- Clinical College, Jilin University, Street Xinmin 828, Changchun, People's Republic of China
| | - Jiaxin Ren
- Stroke Center, Department of Neurology, The First Hospital of Jilin University, Chang Chun, People's Republic of China
| | - Fei Ren
- Clinical College, Jilin University, Street Xinmin 828, Changchun, People's Republic of China
| | - Yifan Li
- State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-Sen University Cancer Center, Guangzhou, 510060, People's Republic of China
| | - Haoqun Xie
- State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-Sen University Cancer Center, Guangzhou, 510060, People's Republic of China
| | - Hongyu Chen
- State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-Sen University Cancer Center, Guangzhou, 510060, People's Republic of China
| | - Davy Deng
- Dana Farber Cancer Institute, 450 Brookline Ave, Boston, MA, 02215, USA
| | - Jie Lu
- State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-Sen University Cancer Center, Guangzhou, 510060, People's Republic of China
| | - Hui Li
- Stroke Center, Department of Neurology, The First Hospital of Jilin University, Chang Chun, People's Republic of China
| | - Bo Wu
- Department of Orthopaedics, The First Hospital of Jilin University, No.71, Street Xinmin Road, Chaoyang District, Changchun, Jilin, People's Republic of China
| | - Youqi Chen
- Clinical College, Jilin University, Street Xinmin 828, Changchun, People's Republic of China
| | - Fei Peng
- Department of Medicine, Division of Endocrinology, Diabetes and Metabolism, Baylor College of Medicine, Houston, TX, USA
| | - Vinay K Puduvalli
- Department of Neuro-Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
- Department of Neurosurgery, The First Hospital of Jilin University, Changchun, People's Republic of China
| | - Ke Sai
- State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-Sen University Cancer Center, Guangzhou, 510060, People's Republic of China.
| | - Yunqian Li
- Department of Neurosurgery, The First Hospital of Jilin University, Changchun, People's Republic of China.
| | - Ye Cheng
- Department of Neurosurgery, Xuanwu Hospital, Capital Medical University, Beijing, People's Republic of China.
| | - Yonggao Mou
- State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-Sen University Cancer Center, Guangzhou, 510060, People's Republic of China.
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Liu YW, Dong CL, Jiang X, Liu DY. Association of the LPA gene polymorphisms with coronary artery disease risk in the Xinjiang population of China: A case-control study. Medicine (Baltimore) 2023; 102:e36181. [PMID: 38050271 PMCID: PMC10695570 DOI: 10.1097/md.0000000000036181] [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: 09/12/2023] [Accepted: 10/27/2023] [Indexed: 12/06/2023] Open
Abstract
Lipoprotein(a) is a well-known independent risk factor for coronary artery disease (CAD) and primarily determined by variation in the LPA gene coding for the apolipoprotein(a) moiety. Our study purpose was to evaluate the association between the human LPA gene polymorphisms and CAD in Han and Uyghur populations in Xinjiang, China. A case-control study was conducted with 831 Han people (392 CAD patients and 439 control subjects) and 829 Uygur people (513 CAD patients and 316 control subjects). All participants were genotyped for the same 3 single nucleotide polymorphisms (rs1801693, rs6923877, and rs9364559) of the LPA gene by a Real-time PCR instrument. In CAD patients, the levels of lipoprotein(a) were significantly higher in the Han population with the C/C genotype at the rs1801693 (P = .018) and the A/A genotype at the rs9364559 (P = .029) than in the Uyghur population. The polymorphisms rs1801693, rs6923877, and rs9364559 were found to be associated with CAD in the Han population. For men, the distribution of rs1801693 in genotypes, alleles and recessive model (CC vs CT + TT) showed a significant difference (all P < .05), and the difference in recessive model was retained after adjustment for covariates (odds ratio [OR]: 0.557, 95% confidence interval [CI]: 0.355-0.874, P = .011). But the distribution of rs6923877 in genotypes and dominant model (GG vs AG + AA) showed a significant difference (both P < .05) in both men and women, and the difference was kept in dominant model after adjustment (OR: 1.473, 95% CI:1.009-2.148, P = .045). For women, a significant difference was found in the distribution of rs9364559 in the alleles and dominant model (AA vs AG + GG) (for alleles: P = .021, for dominant model: P = .025, OR: 0.560, 95% CI:0.350-0.898, P = .016) after adjustment. Polymorphisms rs1801693, rs6923877, and rs9364559 of the LPA gene are associated with CAD in the Han population in Xinjiang Uygur Autonomous Region of China.
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Affiliation(s)
- Yi-Wen Liu
- Oncology-Cardiology Department, Xinjiang Tumor Hospital Affiliated to Xinjiang Medical University, Urumqi, Xinjiang, China
| | - Chun-Lan Dong
- Oncology-Cardiology Department, Xinjiang Tumor Hospital Affiliated to Xinjiang Medical University, Urumqi, Xinjiang, China
| | - Xue Jiang
- Pain Medicine Department, Xinjiang Tumor Hospital Affiliated to Xinjiang Medical University, Urumqi, Xinjiang, China
| | - Deng-Yao Liu
- Interventional Consulting Department, Xinjiang Tumor Hospital Affiliated to Xinjiang Medical University, Urumqi, Xinjiang, China
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48
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Nöthen MM, Spielmann M. Nachruf Prof. Dr. rer. nat. Jeanette Erdmann. MED GENET-BERLIN 2023; 35:299-300. [PMID: 38841555 PMCID: PMC11006360 DOI: 10.1515/medgen-2023-2046] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/07/2024]
Affiliation(s)
- Markus M. Nöthen
- Universitätsklinikum BonnInstitut für HumangenetikVenusberg-Campus 153127BonnDeutschland
| | - Malte Spielmann
- Universitätsklinikum Schleswig-HolsteinCampus Lübeck, Institut für HumangenetikLübeckDeutschland
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49
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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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50
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Aherrahrou R, Eschenhagen T, König IR, Samani NJ, Schunkert H, Aherrahrou Z. Jeanette Erdmann (1965-2023). Nat Genet 2023; 55:2016-2017. [PMID: 37985820 DOI: 10.1038/s41588-023-01599-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2023]
Affiliation(s)
- Redouane Aherrahrou
- Institute for Cardiogenetics, University of Lübeck, Lübeck, Germany
- DZHK (German Research Centre for Cardiovascular Research), Partner Site Hamburg/Lübeck/Kiel, Lübeck, Germany
- A.I. Virtanen Institute for Molecular Sciences, University of Eastern Finland, Kuopio, Finland
| | - Thomas Eschenhagen
- Institute of Experimental Pharmacology and Toxicology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
- DZHK (German Research Centre for Cardiovascular Research), Partner Site Hamburg/Lübeck/Kiel, Hamburg, Germany
| | - Inke R König
- DZHK (German Research Centre for Cardiovascular Research), Partner Site Hamburg/Lübeck/Kiel, Lübeck, Germany
- Institut für Medizinische Biometrie und Statistik, Universität zu Lübeck, Lübeck, Germany
| | - Nilesh J Samani
- Department of Cardiovascular Sciences, University of Leicester, Leicester, UK
- NIHR Leicester Biomedical Research Centre, Glenfield Hospital, Leicester, UK
| | - Heribert Schunkert
- Department of Cardiology, German Heart Center Munich, Technical University Munich, Munich, Germany
- Deutsches Zentrum für Herz- und Kreislaufforschung (DZHK), Partner Site Munich Heart Alliance, Munich, Germany
| | - Zouhair Aherrahrou
- Institute for Cardiogenetics, University of Lübeck, Lübeck, Germany.
- DZHK (German Research Centre for Cardiovascular Research), Partner Site Hamburg/Lübeck/Kiel, Lübeck, Germany.
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