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Hu D, Xiao L, Li S. A common variant in PIK3CG gene associated with the prognosis of heart failure. J Cell Mol Med 2024; 28:e70069. [PMID: 39245801 PMCID: PMC11381188 DOI: 10.1111/jcmm.70069] [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: 04/05/2024] [Revised: 07/19/2024] [Accepted: 08/22/2024] [Indexed: 09/10/2024] Open
Abstract
Phosphoinositide 3-kinase γ (PI3Kγ) is G-protein-coupled receptor-activated lipid kinase with both kinase-dependent and kinase-independent activity. Plenty of evidence have demonstrated that PI3Kγ participated in TAC and I/R-induced myocardial remodelling and heart failure (HF). In this study, we tested the hypothesis that common variants in the PI3Kγ gene (PIK3CG) were associated with the prognosis of HF in the Chinese Han population. Through re-sequencing and genotyping, we finally identified a common variant in the 3'UTR of PIK3CG strongly associated with the prognosis of HF in two-stage population: adjusted p = 0.007, hazard ratio = 0.56 (0.36-0.85) in the first cohort and adjusted p = 0.024, hazard ratio = 0.39 (0.17-0.88) in the replicated cohort. A series of functional assays revealed that rs10215499-A allele suppressed PIK3CG translation by facilitating has-miR-133a-3p binding, but not the G allele. Subjects carrying the GG genotype showed higher mRNA and protein level than those with AA and AG genotype. Furthermore, overexpression of PIK3CG could protect AC16 from hypoxia/reoxygenation (H/R)-induced apoptosis, while the case was opposite for PIK3CG silencing. In conclusion, common variant rs10215499 in the 3'-UTR of PIK3CG might affect the prognosis of HF by interfering with miR-133a-3p binding and PIK3CG is a promising target for HF treatment in the future.
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Affiliation(s)
- Dong Hu
- Division of Cardiology, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Key Laboratory for Molecular Diagnosis of Hubei Province, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Lei Xiao
- Division of Cardiology, Department of Internal Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Shiyang Li
- Department of Geriatrics, Panzhihua Central Hospital, Panzhihua, China
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2
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Baidildinova G, ten Cate V, Panova-Noeva M, Dahlen B, Gieswinkel A, von Ungern-Sternberg S, Rapp S, Strauch K, Beutel ME, Pfeiffer N, Lackner KJ, Münzel T, ten Cate H, Wild PS, Jurk K. Cardiovascular and genetic determinants of platelet high responsiveness: results from the Gutenberg Health Study. Blood Adv 2024; 8:3870-3874. [PMID: 38776438 PMCID: PMC11321285 DOI: 10.1182/bloodadvances.2023012538] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2023] [Revised: 05/02/2024] [Accepted: 05/02/2024] [Indexed: 05/25/2024] Open
Affiliation(s)
- Gaukhar Baidildinova
- Department of Biochemistry, Cardiovascular Research Institute Maastricht, Maastricht University, Maastricht, The Netherlands
- Center for Thrombosis and Hemostasis, University Medical Center of the Johannes Gutenberg-University Mainz, Mainz, Germany
- Asfendiyarov Kazakh National Medical University, Almaty, Kazakhstan
| | - Vincent ten Cate
- Center for Thrombosis and Hemostasis, University Medical Center of the Johannes Gutenberg-University Mainz, Mainz, Germany
- Department of Cardiology, Preventive Cardiology and Preventive Medicine, University Medical Center of the Johannes Gutenberg-University Mainz, Mainz, Germany
- German Center for Cardiovascular Research, Partner Site Rhine-Main, Mainz, Germany
| | - Marina Panova-Noeva
- Center for Thrombosis and Hemostasis, University Medical Center of the Johannes Gutenberg-University Mainz, Mainz, Germany
- Department of Cardiology, Preventive Cardiology and Preventive Medicine, University Medical Center of the Johannes Gutenberg-University Mainz, Mainz, Germany
- German Center for Cardiovascular Research, Partner Site Rhine-Main, Mainz, Germany
| | - Bianca Dahlen
- Center for Thrombosis and Hemostasis, University Medical Center of the Johannes Gutenberg-University Mainz, Mainz, Germany
- Department of Cardiology, Preventive Cardiology and Preventive Medicine, University Medical Center of the Johannes Gutenberg-University Mainz, Mainz, Germany
| | - Alexander Gieswinkel
- Department of Cardiology, Preventive Cardiology and Preventive Medicine, University Medical Center of the Johannes Gutenberg-University Mainz, Mainz, Germany
| | - Saskia von Ungern-Sternberg
- Center for Thrombosis and Hemostasis, University Medical Center of the Johannes Gutenberg-University Mainz, Mainz, Germany
| | - Steffen Rapp
- Department of Cardiology, Preventive Cardiology and Preventive Medicine, University Medical Center of the Johannes Gutenberg-University Mainz, Mainz, Germany
| | - Konstantin Strauch
- Institute of Medical Biostatistics, Epidemiology and Informatics, University Medical Center of the Johannes Gutenberg-University Mainz, Mainz, Germany
| | - Manfred E. Beutel
- Department of Psychosomatic Medicine and Psychotherapy, University Medical Center of the Johannes Gutenberg-University Mainz, Mainz, Germany
| | - Norbert Pfeiffer
- Department of Ophthalmology, University Medical Center of the Johannes Gutenberg-University Mainz, Mainz, Germany
| | - Karl J. Lackner
- German Center for Cardiovascular Research, Partner Site Rhine-Main, Mainz, Germany
- Institute for Clinical Chemistry and Laboratory Medicine, University Medical Center of the Johannes Gutenberg-University Mainz, Mainz, Germany
| | - Thomas Münzel
- German Center for Cardiovascular Research, Partner Site Rhine-Main, Mainz, Germany
- Department of Cardiology, Cardiology I, University Medical Center of the Johannes Gutenberg-University Mainz, Mainz, Germany
| | - Hugo ten Cate
- Department of Biochemistry, Cardiovascular Research Institute Maastricht, Maastricht University, Maastricht, The Netherlands
- Center for Thrombosis and Hemostasis, University Medical Center of the Johannes Gutenberg-University Mainz, Mainz, Germany
- Thrombosis Expertise Center, Heart and Vascular Center, Maastricht University Medical Center, Maastricht, The Netherlands
| | - Philipp S. Wild
- Center for Thrombosis and Hemostasis, University Medical Center of the Johannes Gutenberg-University Mainz, Mainz, Germany
- Department of Cardiology, Preventive Cardiology and Preventive Medicine, University Medical Center of the Johannes Gutenberg-University Mainz, Mainz, Germany
- German Center for Cardiovascular Research, Partner Site Rhine-Main, Mainz, Germany
- Institute of Molecular Biology GmbH, Mainz, Germany
| | - Kerstin Jurk
- Center for Thrombosis and Hemostasis, University Medical Center of the Johannes Gutenberg-University Mainz, Mainz, Germany
- Department of Cardiology, Preventive Cardiology and Preventive Medicine, University Medical Center of the Johannes Gutenberg-University Mainz, Mainz, Germany
- German Center for Cardiovascular Research, Partner Site Rhine-Main, Mainz, Germany
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3
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Li C, Malloy M, Ture SK, Nieves-Lopez B, Thibord F, Johnson AD, Morrell CN. G protein-coupled receptor kinase 5 regulates thrombin signaling in platelets. Res Pract Thromb Haemost 2024; 8:102556. [PMID: 39309233 PMCID: PMC11415800 DOI: 10.1016/j.rpth.2024.102556] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2024] [Revised: 06/28/2024] [Accepted: 08/16/2024] [Indexed: 09/25/2024] Open
Abstract
Background Our prior genome-wide association study of thrombin-induced platelet aggregation identified a G protein-coupled receptor kinase 5 (GRK5) noncoding variant (rs10886430-G) that is strongly associated with increased platelet reactivity to thrombin. This variant predisposes to increased risk of stroke, pulmonary embolism, and venous thromboembolism. Objectives To determine role of platelet specific GRK5 in platelet responses to agonists and injury. Methods Platelets from GRK5 mutant mice have been shown to have increased thrombin sensitivity, indicating that GRK5 may be a negative regulator of platelet activation. However, this has not been studied in a platelet-specific manner. We therefore used platelet-specific GRK5 mutant mice and models of thrombosis and pulmonary embolism. Results We now demonstrate that mice lacking GRK5 specifically in platelets had a mild increase in thrombin responses in vitro and a shortened time to arterial thrombosis in vivo. In addition, platelet GRK5 mutant mice had increased thrombin but not collagen-induced thrombus burden in a mouse model of pulmonary embolism. Conclusion These data indicate that platelet GRK5 has a significant role in limiting platelet responses to thrombin.
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Affiliation(s)
- Chen Li
- Aab Cardiovascular Research Institute, University of Rochester School of Medicine and Dentistry, Rochester, New York, USA
| | - Michael Malloy
- Aab Cardiovascular Research Institute, University of Rochester School of Medicine and Dentistry, Rochester, New York, USA
| | - Sara K. Ture
- Aab Cardiovascular Research Institute, University of Rochester School of Medicine and Dentistry, Rochester, New York, USA
| | - Benjamin Nieves-Lopez
- Aab Cardiovascular Research Institute, University of Rochester School of Medicine and Dentistry, Rochester, New York, USA
- University of Puerto Rico, Medical Sciences Campus, San Juan, Puerto Rico
| | - Florian Thibord
- Population Sciences Branch, National Heart, Lung and Blood Institute, Framingham, Massachusetts, USA
| | - Andrew D. Johnson
- Population Sciences Branch, National Heart, Lung and Blood Institute, Framingham, Massachusetts, USA
| | - Craig N. Morrell
- Aab Cardiovascular Research Institute, University of Rochester School of Medicine and Dentistry, Rochester, New York, USA
- Department of Microbiology and Immunology, University of Rochester School of Medicine and Dentistry, Rochester, New York, USA
- Department of Medicine, University of Rochester School of Medicine and Dentistry, Rochester, New York, USA
- Department of Pathology and Laboratory Medicine, University of Rochester School of Medicine and Dentistry, Rochester, New York, USA
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4
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Yang Z, Hu L, Zhen J, Gu Y, Liu Y, Huang S, Wei Y, Zheng H, Guo X, Chen GB, Yang Y, Xiong L, Wei F, Liu S. Genetic basis of pregnancy-associated decreased platelet counts and gestational thrombocytopenia. Blood 2024; 143:1528-1538. [PMID: 38064665 PMCID: PMC11033587 DOI: 10.1182/blood.2023021925] [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: 07/21/2023] [Revised: 12/01/2023] [Accepted: 12/01/2023] [Indexed: 02/29/2024] Open
Abstract
ABSTRACT Platelet count reduction occurs throughout pregnancy, with 5% to 12% of pregnant women being diagnosed with gestational thrombocytopenia (GT), characterized by a more marked decrease in platelet count during pregnancy. However, the underlying biological mechanism behind these phenomena remains unclear. Here, we used sequencing data from noninvasive prenatal testing of 100 186 Chinese pregnant individuals and conducted, to our knowledge, the hitherto largest-scale genome-wide association studies on platelet counts during 5 periods of pregnancy (the first, second, and third trimesters, delivery, and the postpartum period) as well as 2 GT statuses (GT platelet count < 150 × 109/L and severe GT platelet count < 100 × 109/L). Our analysis revealed 138 genome-wide significant loci, explaining 10.4% to 12.1% of the observed variation. Interestingly, we identified previously unknown changes in genetic effects on platelet counts during pregnancy for variants present in PEAR1 and CBL, with PEAR1 variants specifically associated with a faster decline in platelet counts. Furthermore, we found that variants present in PEAR1 and TUBB1 increased susceptibility to GT and severe GT. Our study provides insight into the genetic basis of platelet counts and GT in pregnancy, highlighting the critical role of PEAR1 in decreasing platelet counts during pregnancy and the occurrence of GT. Those with pregnancies carrying specific variants associated with declining platelet counts may experience a more pronounced decrease, thereby elevating the risk of GT. These findings lay the groundwork for further investigation into the biological mechanisms and causal implications of GT.
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Affiliation(s)
- Zijing Yang
- School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, Guangdong, China
- The Genetics Laboratory, Longgang District Maternity and Child Healthcare Hospital of Shenzhen City, Shenzhen, Guangdong, China
| | - Liang Hu
- The Genetics Laboratory, Longgang District Maternity and Child Healthcare Hospital of Shenzhen City, Shenzhen, Guangdong, China
| | - Jianxin Zhen
- Central Laboratory, Shenzhen Baoan Women's and Children's Hospital, Shenzhen, Guangdong, China
| | - Yuqin Gu
- School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, Guangdong, China
| | - Yanhong Liu
- School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, Guangdong, China
| | - Shang Huang
- The Genetics Laboratory, Longgang District Maternity and Child Healthcare Hospital of Shenzhen City, Shenzhen, Guangdong, China
- Shenzhen Children's Hospital of China Medical University, Shenzhen, Guangdong, China
| | - Yuandan Wei
- School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, Guangdong, China
- Central Laboratory, Shenzhen Baoan Women's and Children's Hospital, Shenzhen, Guangdong, China
| | - Hao Zheng
- School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, Guangdong, China
| | - Xinxin Guo
- School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, Guangdong, China
| | - Guo-Bo Chen
- Department of Genetic and Genomic Medicine, Center for Productive Medicine, Clinical Research Institute, Zhejiang Provincial People’s Hospital, People’s Hospital of Hangzhou Medical College, Hangzhou, Zhejiang, China
- Key Laboratory of Endocrine Gland Diseases of Zhejiang Province, Hangzhou, Zhejiang, China
| | - Yan Yang
- School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, Guangdong, China
| | - Likuan Xiong
- Central Laboratory, Shenzhen Baoan Women's and Children's Hospital, Shenzhen, Guangdong, China
- Shenzhen Key Laboratory of Birth Defects Research, Shenzhen, Guangdong, China
| | - Fengxiang Wei
- The Genetics Laboratory, Longgang District Maternity and Child Healthcare Hospital of Shenzhen City, Shenzhen, Guangdong, China
- Longgang Maternity and Child Institute of Shantou University Medical College, Shenzhen, Guangdong, China
| | - Siyang Liu
- School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, Guangdong, China
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5
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Chan MV, Chen MH, Thibord F, Nkambule BB, Lachapelle AR, Grech J, Schneider ZE, Wallace de Melendez C, Huffman JE, Hayman MA, Allan HE, Armstrong PC, Warner TD, Johnson AD. Factors that modulate platelet reactivity as measured by 5 assay platforms in 3429 individuals. Res Pract Thromb Haemost 2024; 8:102406. [PMID: 38813256 PMCID: PMC11135030 DOI: 10.1016/j.rpth.2024.102406] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2024] [Accepted: 04/05/2024] [Indexed: 05/31/2024] Open
Abstract
Background Assessment of platelet function is key in diagnosing bleeding disorders and evaluating antiplatelet drug efficacy. However, there is a prevailing "one-size-fits-all" approach in the interpretation of measures of platelet reactivity, with arbitrary cutoffs often derived from healthy volunteer responses. Objectives Our aim was to compare well-used platelet reactivity assays. Methods Blood and platelet-rich plasma obtained from the Framingham Heart Study (N = 3429) were assayed using a range of agonists in 5 platelet assays: light transmission aggregometry, Optimul aggregometry, Multiplate impedance aggregometry (Roche Diagnostics), Total Thrombus-Formation Analysis System, and flow cytometry. Using linear mixed-effect models, we determined the contribution of preanalytical and technical factors that modulated platelet reactivity traits. Results A strong intra-assay correlation of platelet traits was seen in all assays, particularly Multiplate velocity (r = 0.740; ristocetin vs arachidonic acid). In contrast, only moderate interassay correlations were observed (r = 0.375; adenosine diphosphate Optimul Emax vs light transmission aggregometry large area under the curve). As expected, antiplatelet drugs strongly reduced platelet responses, with aspirin use primarily targeting arachidonic acid-induced aggregation, and explained substantial variance (β = -1.735; P = 4.59 × 10-780; variance proportion = 46.2%) and P2Y12 antagonists blocking adenosine diphosphate responses (β = -1.612; P = 6.75 × 10-27; variance proportion = 2.1%). Notably, female sex and older age were associated with enhanced platelet reactivity. Fasting status and deviations from standard venipuncture practices did not alter platelet reactivity significantly. Finally, the agonist batch, phlebotomist, and assay technician (more so for assays that require additional sample manipulation) had a moderate to large effect on measured platelet reactivity. Conclusion Caution must be exercised when extrapolating findings between assays, and the use of standard ranges must be medication-specific and sex-specific at a minimum. Researchers should also consider preanalytical and technical variables when designing experiments and interpreting platelet reactivity measures.
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Affiliation(s)
- Melissa V. Chan
- Population Sciences Branch, National Heart, Lung, and Blood Institute, Framingham, Massachusetts, USA
| | - Ming-Huei Chen
- Population Sciences Branch, National Heart, Lung, and Blood Institute, Framingham, Massachusetts, USA
| | - Florian Thibord
- Population Sciences Branch, National Heart, Lung, and Blood Institute, Framingham, Massachusetts, USA
| | - Bongani B. Nkambule
- Population Sciences Branch, National Heart, Lung, and Blood Institute, Framingham, Massachusetts, USA
| | - Amber R. Lachapelle
- Population Sciences Branch, National Heart, Lung, and Blood Institute, Framingham, Massachusetts, USA
| | - Joseph Grech
- Population Sciences Branch, National Heart, Lung, and Blood Institute, Framingham, Massachusetts, USA
| | - Zoe E. Schneider
- Population Sciences Branch, National Heart, Lung, and Blood Institute, Framingham, Massachusetts, USA
| | | | - Jennifer E. Huffman
- Population Sciences Branch, National Heart, Lung, and Blood Institute, Framingham, Massachusetts, USA
| | - Melissa A. Hayman
- Centre for Immunobiology, the Blizard Institute, Faculty of Medicine & Dentistry, Queen Mary University of London, London, United Kingdom
| | - Harriet E. Allan
- Centre for Immunobiology, the Blizard Institute, Faculty of Medicine & Dentistry, Queen Mary University of London, London, United Kingdom
| | - Paul C. Armstrong
- Centre for Immunobiology, the Blizard Institute, Faculty of Medicine & Dentistry, Queen Mary University of London, London, United Kingdom
| | - Timothy D. Warner
- Centre for Immunobiology, the Blizard Institute, Faculty of Medicine & Dentistry, Queen Mary University of London, London, United Kingdom
| | - Andrew D. Johnson
- Population Sciences Branch, National Heart, Lung, and Blood Institute, Framingham, Massachusetts, USA
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Jung IH, Stitziel NO. Integrin α9β1 deficiency does not impact the development of atherosclerosis in mice. Heliyon 2024; 10:e25760. [PMID: 38370227 PMCID: PMC10869861 DOI: 10.1016/j.heliyon.2024.e25760] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2023] [Revised: 01/31/2024] [Accepted: 02/01/2024] [Indexed: 02/20/2024] Open
Abstract
Sushi, von Willebrand factor type A, EGF and pentraxin domain containing 1 (SVEP1) is an extracellular matrix protein that causally promotes cardiovascular disease in humans and mice. However, the receptor mediating the effect of SVEP1 on the development of disease remains unclear. We previously demonstrated that depleting either vascular smooth muscle cell (VSMC)- or myeloid cell-derived integrin α9β1, the first receptor that was identified to interact with SVEP1, did not phenocopy the disease-abrogating effect of depleting SVEP1. Due to its wide expression in tissues and cell types, here we extend this line of investigation to definitively determine if integrin α9β1 impacts the development of atherosclerosis. In a mouse model of atherosclerosis, we found that depleting integrin α9β1 in all cells did not alter plaque size or characteristics of plaque complexity when compared to wild type mice. Further, the significant SVEP1-mediated effects on increase in macrophage content and VSMC proliferation within the atherosclerotic plaque were not altered in animals lacking integrin α9β1. Together, these findings strongly suggest that integrin α9β1 is not responsible for mediating the SVEP1-induced promotion of atherosclerosis and support further studies aimed at characterizing other receptors whose interaction with SVEP1 may represent a therapeutically targetable interaction.
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Affiliation(s)
- In-Hyuk Jung
- Center for Cardiovascular Research, Division of Cardiology, Department of Medicine, Washington University School of Medicine, Saint Louis, MO, 63110, USA
| | - Nathan O. Stitziel
- Center for Cardiovascular Research, Division of Cardiology, Department of Medicine, Washington University School of Medicine, Saint Louis, MO, 63110, USA
- Department of Genetics, Washington University School of Medicine, Saint Louis, MO, 63110, USA
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Thomas S, Kelliher S, Krishnan A. Heterogeneity of platelets and their responses. Res Pract Thromb Haemost 2024; 8:102356. [PMID: 38666061 PMCID: PMC11043642 DOI: 10.1016/j.rpth.2024.102356] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2023] [Revised: 01/22/2024] [Accepted: 02/06/2024] [Indexed: 04/28/2024] Open
Abstract
There has been increasing recognition of heterogeneity in blood platelets and their responses, particularly in recent years, where next-generation technologies and advanced bioinformatic tools that interrogate "big data" have enabled large-scale studies of RNA and protein expression across a growing list of disease states. However, pioneering platelet biologists and clinicians were already hypothesizing upon and investigating heterogeneity in platelet (and megakaryocyte) activity and platelet metabolism and aggregation over half a century ago. Building on their foundational hypotheses, in particular Professor Marian A. Packham's pioneering work and a State of the Art lecture in her memoriam at the 2023 International Society on Thrombosis and Haemostasis Congress by Anandi Krishnan, this review outlines the key features that contribute to the heterogeneity of platelets between and within individuals. Starting with important epidemiologic factors, we move stepwise through successively smaller scales down to heterogeneity revealed by single-cell technologies in health and disease. We hope that this overview will urge future scientific and clinical studies to recognize and account for heterogeneity of platelets and aim to apply methods that capture that heterogeneity. Finally, we summarize other exciting new data presented on this topic at the 2023 International Society on Thrombosis and Haemostasis Congress.
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Affiliation(s)
- Sally Thomas
- Sheffield Teaching Hospitals, National Health Services, Sheffield, UK
| | - Sarah Kelliher
- School of Medicine, University College Dublin, Dublin, Ireland
| | - Anandi Krishnan
- Stanford University School of Medicine, Stanford University, Stanford, California, USA
- Rutgers University, Piscataway, New Jersey, USA
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8
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Ahles A, Engelhardt S. Genetic Variants of Adrenoceptors. Handb Exp Pharmacol 2024; 285:27-54. [PMID: 37578621 DOI: 10.1007/164_2023_676] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/15/2023]
Abstract
Adrenoceptors are class A G-protein-coupled receptors grouped into three families (α1-, α2-, and β-adrenoceptors), each one including three members. All nine corresponding adrenoceptor genes display genetic variation in their coding and adjacent non-coding genomic region. Coding variants, i.e., nucleotide exchanges within the transcribed and translated receptor sequence, may result in a difference in amino acid sequence thus altering receptor function and signaling. Such variants have been intensely studied in vitro in overexpression systems and addressed in candidate-gene studies for distinct clinical parameters. In recent years, large cohorts were analyzed in genome-wide association studies (GWAS), where variants are detected as significant in context with specific traits. These studies identified two of the in-depth characterized 18 coding variants in adrenoceptors as repeatedly statistically significant genetic risk factors - p.Arg389Gly in the β1- and p.Thr164Ile in the β2-adrenoceptor, along with 56 variants in the non-coding regions adjacent to the adrenoceptor gene loci, the functional role of which is largely unknown at present. This chapter summarizes current knowledge on the two coding variants in adrenoceptors that have been consistently validated in GWAS and provides a prospective overview on the numerous non-coding variants more recently attributed to adrenoceptor gene loci.
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Affiliation(s)
- Andrea Ahles
- Institute of Pharmacology and Toxicology, Technical University of Munich (TUM), Munich, Germany
| | - Stefan Engelhardt
- Institute of Pharmacology and Toxicology, Technical University of Munich (TUM), Munich, Germany.
- DZHK (German Centre for Cardiovascular Research), Partner Site Munich Heart Alliance, Munich, Germany.
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9
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Johnson AD. Cell perturbation and lasers illuminate the genetics of latent blood cell traits. Nat Genet 2024; 56:16-18. [PMID: 38135721 DOI: 10.1038/s41588-023-01623-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2023]
Affiliation(s)
- Andrew D Johnson
- Population Sciences Branch, Division of Intramural Research, National Heart, Lung and Blood Institute, Framingham, MA, USA.
- The Framingham Heart Study, Framingham, MA, USA.
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10
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de Vries PS. Genetics of predicted platelet reactivity. Blood 2023; 142:1851-1852. [PMID: 38032670 PMCID: PMC10731915 DOI: 10.1182/blood.2023022302] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/01/2023] Open
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11
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Verdier H, Thomas P, Batista J, Kempster C, McKinney H, Gleadall N, Danesh J, Mumford A, Heemskerk JWM, Ouwehand WH, Downes K, Astle WJ, Turro E. A signature of platelet reactivity in CBC scattergrams reveals genetic predictors of thrombotic disease risk. Blood 2023; 142:1895-1908. [PMID: 37647652 PMCID: PMC10733829 DOI: 10.1182/blood.2023021100] [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: 05/08/2023] [Revised: 07/27/2023] [Accepted: 08/18/2023] [Indexed: 09/01/2023] Open
Abstract
Genetic studies of platelet reactivity (PR) phenotypes may identify novel antiplatelet drug targets. However, such studies have been limited by small sample sizes (n < 5000) because of the complexity of measuring PR. We trained a model to predict PR from complete blood count (CBC) scattergrams. A genome-wide association study of this phenotype in 29 806 blood donors identified 21 distinct associations implicating 20 genes, of which 6 have been identified previously. The effect size estimates were significantly correlated with estimates from a study of flow cytometry-measured PR and a study of a phenotype of in vitro thrombus formation. A genetic score of PR built from the 21 variants was associated with the incidence rates of myocardial infarction and pulmonary embolism. Mendelian randomization analyses showed that PR was causally associated with the risks of coronary artery disease, stroke, and venous thromboembolism. Our approach provides a blueprint for using phenotype imputation to study the determinants of hard-to-measure but biologically important hematological traits.
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Affiliation(s)
- Hippolyte Verdier
- Institut Pasteur, CNRS UMR 3751, Decision and Bayesian Computation, Université Paris Cité, Paris, France
| | - Patrick Thomas
- Department of Haematology, University of Cambridge, Cambridge Biomedical Campus, Cambridge, United Kingdom
| | - Joana Batista
- Department of Haematology, University of Cambridge, Cambridge Biomedical Campus, Cambridge, United Kingdom
| | - Carly Kempster
- Department of Haematology, University of Cambridge, Cambridge Biomedical Campus, Cambridge, United Kingdom
- Institute for Cardiovascular and Metabolic Research, School of Biological Sciences, University of Reading, Reading, United Kingdom
| | - Harriet McKinney
- Department of Haematology, University of Cambridge, Cambridge Biomedical Campus, Cambridge, United Kingdom
| | - Nicholas Gleadall
- Department of Haematology, University of Cambridge, Cambridge Biomedical Campus, Cambridge, United Kingdom
- National Health Service Blood and Transplant, Cambridge Biomedical Campus, Cambridge, United Kingdom
| | - John Danesh
- British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom
- Victor Phillip Dahdaleh Heart and Lung Research Institute, University of Cambridge, Cambridge, United Kingdom
- British Heart Foundation Centre of Research Excellence, School of Clinical Medicine, University of Cambridge, Cambridge, United Kingdom
- Health Data Research UK Cambridge, Wellcome Genome Campus and University of Cambridge, Cambridge, United Kingdom
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, United Kingdom
| | - Andrew Mumford
- School of Cellular and Molecular Medicine, University of Bristol, Bristol, United Kingdom
- South West National Health Service Genomic Medicine Service Alliance, Bristol, United Kingdom
| | | | - Willem H. Ouwehand
- Department of Haematology, University of Cambridge, Cambridge Biomedical Campus, Cambridge, United Kingdom
- National Health Service Blood and Transplant, Cambridge Biomedical Campus, Cambridge, United Kingdom
| | - Kate Downes
- Cambridge Genomics Laboratory, Cambridge University Hospitals NHS Foundation Trust, Cambridge Biomedical Campus, Cambridge, United Kingdom
| | - William J. Astle
- National Health Service Blood and Transplant, Cambridge Biomedical Campus, Cambridge, United Kingdom
- Medical Research Council Biostatistics Unit, Cambridge Biomedical Campus, University of Cambridge, Cambridge, United Kingdom
- National Institute for Health and Care Research Blood and Transplant Research Unit in Donor Health and Behaviour, University of Cambridge, Cambridge, United Kingdom
| | - Ernest Turro
- Department of Haematology, University of Cambridge, Cambridge Biomedical Campus, Cambridge, United Kingdom
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY
- Mindich Child Health and Development Institute, Icahn School of Medicine at Mount Sinai, New York, NY
- Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY
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12
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Elenbaas JS, Jung IH, Coler-Reilly A, Lee PC, Alisio A, Stitziel NO. The emerging Janus face of SVEP1 in development and disease. Trends Mol Med 2023; 29:939-950. [PMID: 37673700 PMCID: PMC10592172 DOI: 10.1016/j.molmed.2023.08.002] [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: 06/06/2023] [Revised: 08/03/2023] [Accepted: 08/07/2023] [Indexed: 09/08/2023]
Abstract
Sushi, von Willebrand factor type A, EGF, and pentraxin domain containing 1 (SVEP1) is a large extracellular matrix protein that is also detected in circulation. Recent plasma proteomic and genomic studies have revealed a large number of associations between SVEP1 and human traits, particularly chronic disease. These include associations with cardiac death and disease, diabetes, platelet traits, glaucoma, dementia, and aging; many of these are causal. Animal models demonstrate that SVEP1 is critical in vascular development and disease, but its molecular and cellular mechanisms remain poorly defined. Future studies should aim to characterize these mechanisms and determine the diagnostic, prognostic, and therapeutic value of measuring or intervening on this enigmatic protein.
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Affiliation(s)
- Jared S Elenbaas
- Center for Cardiovascular Research, Division of Cardiology, Department of Medicine, Washington University School of Medicine, Saint Louis, MO 63110, USA; Medical Scientist Training Program, Washington University School of Medicine, Saint Louis, MO 63110, USA
| | - In-Hyuk Jung
- Center for Cardiovascular Research, Division of Cardiology, Department of Medicine, Washington University School of Medicine, Saint Louis, MO 63110, USA
| | - Ariella Coler-Reilly
- Medical Scientist Training Program, Washington University School of Medicine, Saint Louis, MO 63110, USA; Division of Bone and Mineral Diseases, Department of Medicine, Washington University School of Medicine, Saint Louis, MO 63110, USA
| | - Paul C Lee
- Center for Cardiovascular Research, Division of Cardiology, Department of Medicine, Washington University School of Medicine, Saint Louis, MO 63110, USA; Medical Scientist Training Program, Washington University School of Medicine, Saint Louis, MO 63110, USA
| | - Arturo Alisio
- Center for Cardiovascular Research, Division of Cardiology, Department of Medicine, Washington University School of Medicine, Saint Louis, MO 63110, USA
| | - Nathan O Stitziel
- Center for Cardiovascular Research, Division of Cardiology, Department of Medicine, Washington University School of Medicine, Saint Louis, MO 63110, USA; McDonnell Genome Institute, Washington University School of Medicine, Saint Louis, MO 63108, USA; Department of Genetics, Washington University School of Medicine, Saint Louis, MO 63110, USA.
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13
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Thibord F, Johnson AD. Sources of variability in the human platelet transcriptome. Thromb Res 2023; 231:255-263. [PMID: 37357099 DOI: 10.1016/j.thromres.2023.06.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2023] [Revised: 05/31/2023] [Accepted: 06/09/2023] [Indexed: 06/27/2023]
Abstract
Platelets are anucleated cells produced by megakaryocytes, from which they inherit all the components necessary to carry their functions. They circulate in blood vessels where they play essential roles in coagulation, wound repair or inflammation, and have been implicated in various pathological conditions such as thrombosis, viral infection or cancer progression. The importance of these cells has been established over a century ago, and effective anti-platelet medications with different mechanisms of action have since been developed. However, these therapies are not always effective and can incur adverse events, thus a better understanding of platelets molecular processes is needed to address these issues and improve our understanding of platelet functions. In recent years, an increasing number of studies have leveraged OMICs technologies to analyze their content and identify molecular signatures and mechanisms associated with platelet functions and platelet related disorders. In particular, the increased accessibility of microarrays and RNA sequencing opened the way for studies of the platelet transcriptome under a wide array of conditions. These studies revealed distinct expression profiles in diverse pathologies, which could lead to the discovery of novel biomarkers and therapeutic targets, and suggests a dynamic transcriptome that could influence platelet mechanisms. In this review, we highlight the different sources of transcript level variability in platelets while summarizing recent advances and discoveries from this emerging field.
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Affiliation(s)
- Florian Thibord
- Population Sciences Branch, Division of Intramural Research, National Heart, Lung and Blood Institute, 73 Mt. Wayte, Suite #2, Framingham, MA 01702, USA; The Framingham Heart Study, Boston University and NHLBI, 73 Mt. Wayte Ave, Suite #2, Framingham, MA 01702, USA.
| | - Andrew D Johnson
- Population Sciences Branch, Division of Intramural Research, National Heart, Lung and Blood Institute, 73 Mt. Wayte, Suite #2, Framingham, MA 01702, USA; The Framingham Heart Study, Boston University and NHLBI, 73 Mt. Wayte Ave, Suite #2, Framingham, MA 01702, USA
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14
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Xu Y, Yao D, Chen W, Yan H, Zhao D, Jiang L, Wang Y, Zhao X, Liu L, Wang Y, Pan Y, Wang Y. Using the PEAR1 Polymorphisms Rs12041331 and Rs2768759 as Potential Predictive Markers of 90-Day Bleeding Events in the Context of Minor Strokes and Transient Ischemic Attack. Brain Sci 2023; 13:1404. [PMID: 37891772 PMCID: PMC10605279 DOI: 10.3390/brainsci13101404] [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: 08/06/2023] [Revised: 09/22/2023] [Accepted: 09/28/2023] [Indexed: 10/29/2023] Open
Abstract
In this study, we explored the relationship between the platelet endothelial aggregation receptor 1 (PEAR1) polymorphisms, platelet reactivity, and clinical outcomes in patients with minor stroke or transient ischemic attack (TIA). Randomized controlled trial subgroups were assessed, wherein patients received dual antiplatelet therapy for at least 21 days. Platelet reactivity was measured at different time intervals. Genotypes were categorized as wild-type, mutant heterozygous, and mutant homozygous. Clinical outcomes were evaluated after 90 days. The rs12041331 polymorphism predominantly influenced adenosine diphosphate channel platelet activity, with the AA genotype displaying significantly lower residual platelet activity to the P2Y12 response unit (p < 0.01). This effect was more evident after 7 days of dual antiplatelet treatment (p = 0.016). Mutant A allele carriers had decreased rates of recurrent stroke and complex endpoint events but were more prone to bleeding (p = 0.015). The rs2768759 polymorphism majorly impacted arachidonic acid (AA) channel platelet activity, which was particularly noticeable in the C allele carriers. Our regression analysis demonstrated that rs12041331 AA + GA and rs2768759 CA predicted 90-day post-stroke bleeding. In conclusion, the PEAR1 polymorphisms rs12041331 and rs2768759 interfere with platelet aggregation and the performance of antiplatelet drugs. These genetic variations may contribute to bleeding events associated with minor stroke and TIA.
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Affiliation(s)
- Yanjie Xu
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing 100069, China; (Y.X.); (Y.W.)
- China National Clinical Research Center for Neurological Diseases, Beijing 100070, China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing 100070, China
- Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing 100050, China
- Department of Neurology, Beijing Long Fu Hospital, Beijing 100010, China
| | - Dongxiao Yao
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing 100069, China; (Y.X.); (Y.W.)
- China National Clinical Research Center for Neurological Diseases, Beijing 100070, China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing 100070, China
- Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing 100050, China
| | - Weiqi Chen
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing 100069, China; (Y.X.); (Y.W.)
- China National Clinical Research Center for Neurological Diseases, Beijing 100070, China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing 100070, China
- Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing 100050, China
| | - Hongyi Yan
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing 100069, China; (Y.X.); (Y.W.)
- China National Clinical Research Center for Neurological Diseases, Beijing 100070, China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing 100070, China
- Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing 100050, China
| | - Dexiu Zhao
- Department of Neurology, Aviation General Hospital, Beijing 100025, China;
| | - Lingling Jiang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing 100069, China; (Y.X.); (Y.W.)
- China National Clinical Research Center for Neurological Diseases, Beijing 100070, China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing 100070, China
- Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing 100050, China
| | - Yicong Wang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing 100069, China; (Y.X.); (Y.W.)
- China National Clinical Research Center for Neurological Diseases, Beijing 100070, China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing 100070, China
- Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing 100050, China
| | - Xingquan Zhao
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing 100069, China; (Y.X.); (Y.W.)
- China National Clinical Research Center for Neurological Diseases, Beijing 100070, China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing 100070, China
- Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing 100050, China
| | - Liping Liu
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing 100069, China; (Y.X.); (Y.W.)
- China National Clinical Research Center for Neurological Diseases, Beijing 100070, China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing 100070, China
- Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing 100050, China
| | - Yongjun Wang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing 100069, China; (Y.X.); (Y.W.)
- China National Clinical Research Center for Neurological Diseases, Beijing 100070, China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing 100070, China
- Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing 100050, China
| | - Yuesong Pan
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing 100069, China; (Y.X.); (Y.W.)
- China National Clinical Research Center for Neurological Diseases, Beijing 100070, China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing 100070, China
- Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing 100050, China
| | - Yilong Wang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing 100069, China; (Y.X.); (Y.W.)
- China National Clinical Research Center for Neurological Diseases, Beijing 100070, China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing 100070, China
- Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing 100050, China
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15
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Monero-Paredes M, Feliu-Maldonado R, Carrasquillo-Carrion K, Gonzalez P, Rogozin IB, Roche-Lima A, Duconge J. Non-Random Enrichment of Single-Nucleotide Polymorphisms Associated with Clopidogrel Resistance within Risk Loci Linked to the Severity of Underlying Cardiovascular Diseases: The Role of Admixture. Genes (Basel) 2023; 14:1813. [PMID: 37761953 PMCID: PMC10531115 DOI: 10.3390/genes14091813] [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: 08/30/2023] [Revised: 09/14/2023] [Accepted: 09/14/2023] [Indexed: 09/29/2023] Open
Abstract
Cardiovascular disease (CVD) is one of the leading causes of death in Puerto Rico, where clopidogrel is commonly prescribed to prevent ischemic events. Genetic contributors to both a poor clopidogrel response and the severity of CVD have been identified mainly in Europeans. However, the non-random enrichment of single-nucleotide polymorphisms (SNPs) associated with clopidogrel resistance within risk loci linked to underlying CVDs, and the role of admixture, have yet to be tested. This study aimed to assess the possible interaction between genetic biomarkers linked to CVDs and those associated with clopidogrel resistance among admixed Caribbean Hispanics. We identified 50 SNPs significantly associated with CVDs in previous genome-wide association studies (GWASs). These SNPs were combined with another ten SNPs related to clopidogrel resistance in Caribbean Hispanics. We developed Python scripts to determine whether SNPs related to CVDs are in close proximity to those associated with the clopidogrel response. The average and individual local ancestry (LAI) within each locus were inferred, and 60 random SNPs with their corresponding LAIs were generated for enrichment estimation purposes. Our results showed no CVD-linked SNPs in close proximity to those associated with the clopidogrel response among Caribbean Hispanics. Consequently, no genetic loci with a dual predictive role for the risk of CVD severity and clopidogrel resistance were found in this population. Native American ancestry was the most enriched within the risk loci linked to CVDs in this population. The non-random enrichment of disease susceptibility loci with drug-response SNPs is a new frontier in Precision Medicine that needs further attention.
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Affiliation(s)
- Mariangeli Monero-Paredes
- Department of Pharmacology and Toxicology, School of Medicine, University of Puerto Rico, Medical Sciences Campus, San Juan 00936, Puerto Rico; (M.M.-P.); (P.G.)
| | - Roberto Feliu-Maldonado
- Research Centers in Minority Institutions Program, Center for Collaborative Research in Health Disparities, Academic Affairs Deanship, University of Puerto Rico, Medical Sciences Campus, San Juan 00936, Puerto Rico; (R.F.-M.); (K.C.-C.); (A.R.-L.)
| | - Kelvin Carrasquillo-Carrion
- Research Centers in Minority Institutions Program, Center for Collaborative Research in Health Disparities, Academic Affairs Deanship, University of Puerto Rico, Medical Sciences Campus, San Juan 00936, Puerto Rico; (R.F.-M.); (K.C.-C.); (A.R.-L.)
| | - Pablo Gonzalez
- Department of Pharmacology and Toxicology, School of Medicine, University of Puerto Rico, Medical Sciences Campus, San Juan 00936, Puerto Rico; (M.M.-P.); (P.G.)
| | - Igor B. Rogozin
- Computational Biology Branch, National Center for Biotechnology Information (NCBI), National Library of Medicine (NLM), National Institutes of Health (NIH), Rockville Pike MSC 3830, Bethesda, MD 20894, USA;
| | - Abiel Roche-Lima
- Research Centers in Minority Institutions Program, Center for Collaborative Research in Health Disparities, Academic Affairs Deanship, University of Puerto Rico, Medical Sciences Campus, San Juan 00936, Puerto Rico; (R.F.-M.); (K.C.-C.); (A.R.-L.)
| | - Jorge Duconge
- Department of Pharmaceutical Sciences, School of Pharmacy, University of Puerto Rico, Medical Sciences Campus, San Juan 00936, Puerto Rico
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16
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Alessi MC, Coxon C, Ibrahim-Kosta M, Bacci M, Voisin S, Rivera J, Greinacher A, Raster J, Pulcinelli F, Devreese KMJ, Mullier F, McCormick AN, Frontroth JP, Pouplard C, Sachs UJ, Diaz I, Bermejo N, Camera M, Fontana P, Bauters A, Stepanian A, Cozzi MR, Sveshnikova AN, Faille D, Hollon W, Chitlur M, Casonato A, Lasne D, Lavenu-Bombled C, Fiore M, Hamidou B, Hurtaud-Roux MF, Saultier P, Goumidi L, Gresele P, Lordkipanidzé M. Multicenter evaluation of light transmission platelet aggregation reagents: communication from the ISTH SSC Subcommittee on Platelet Physiology. J Thromb Haemost 2023; 21:2596-2610. [PMID: 37331519 DOI: 10.1016/j.jtha.2023.05.027] [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: 10/28/2022] [Revised: 05/23/2023] [Accepted: 05/24/2023] [Indexed: 06/20/2023]
Abstract
BACKGROUND Light transmission aggregation (LTA) is used widely by the clinical and research communities. Although it is a gold standard, there is a lack of interlaboratory harmonization. OBJECTIVES The primary objective was to assess whether sources of activators (mainly adenosine diphosphate [ADP], collagen, arachidonic acid, epinephrine, and thrombin receptor activating peptide6) and ristocetin contribute to poor LTA reproducibility. The secondary objective was to evaluate interindividual variability of results to appreciate the distribution of normal values and consequently better interpret pathologic results. METHODS An international multicenter study involving 28 laboratories in which we compared LTA results obtained with center-specific activators and a comparator that we supplied. RESULTS We report variability in the potency (P) of activators in comparison with the comparator. Thrombin receptor activating peptide 6 (P, 1.32-2.68), arachidonic acid (P, 0.87-1.43), and epinephrine (P, 0.97-1.34) showed the greatest variability. ADP (P, 1.04-1.20) and ristocetin (P, 0.98-1.07) were the most consistent. The data highlighted clear interindividual variability, notably for ADP and epinephrine. Four profiles of responses were observed with ADP from high-responders, intermediate-responders, and low-responders. A fifth profile corresponding to nonresponders (5% of the individuals) was observed with epinephrine. CONCLUSION Based on these data, the establishment and adoption of simple standardization principles should mitigate variability due to activator sources. The observation of huge interindividual variability for certain concentrations of activators should lead to a cautious interpretation before reporting a result as abnormal. Confidence can be taken from the fact that difference between sources is not exacerbated in patients treated with antiplatelet agents.
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Affiliation(s)
- Marie-Christine Alessi
- Laboratory of Hematology, Centre de référence des pathologies plaquettaires, C2VN, INRAE, INSERM, Aix Marseille Université, Marseille, France.
| | - Carmen Coxon
- National Institute for Biological Standards and Control, Blanche Lane, South Mimms, Potters Bar, Hertfordshire, United Kingdom
| | - Manal Ibrahim-Kosta
- Laboratory of Hematology, Centre de référence des pathologies plaquettaires, C2VN, INRAE, INSERM, Aix Marseille Université, Marseille, France
| | - Monica Bacci
- Center for Thrombosis and Hemorrhagic Diseases, IRCCS Humanitas Research Hospital, Rozzano, Milan, Italy
| | - Sophie Voisin
- Laboratoire d'Hématologie, Centre Hospitalier Universitaire de Toulouse, Toulouse, France
| | - José Rivera
- Servicio de Hematología y Oncología Médica, Hospital Universitario Morales Meseguer, Centro Regional de Hemodonación, Universidad de Murcia, Instituto Murciano De Investigación Biosanitaria, IMIB-Arrixaca, Murcia, Spain
| | - Andreas Greinacher
- Institut für Transfusionsmedizin, Universitätsmedizin Greifswald, Greifswald, Germany
| | - Johannes Raster
- Institut für Transfusionsmedizin, Universitätsmedizin Greifswald, Greifswald, Germany
| | - Fabio Pulcinelli
- Department of Experimental Medicine, Sapienza University of Rome, Roma, Italy
| | - Katrien M J Devreese
- Department of Diagnostic Sciences, Coagulation Laboratory, Ghent University Hospital, Ghent University, Ghent, Belgium
| | - Francois Mullier
- Namur Thrombosis and Hemostasis Center, CHU UCLouvain Namur, Université Catholique de Louvain, Yvoir, Belgium
| | - Aine N McCormick
- Haemostasis and Thrombosis Laboratory, Viapath Analytics, St Thomas' Hospital, London, United Kingdom
| | - Juan Pablo Frontroth
- Laboratorio de Hemostasia y Trombosis, Hospital de Pediatría "Prof. Dr. Juan P. Garrahan," Buenos Aires, Argentina
| | - Claire Pouplard
- Department of Hemostasis, University Hospital of Tours, University of Tours, Tours, France
| | - Ulrich J Sachs
- Department of Thrombosis and Haemostasis, Giessen University Hospital, Giessen, Germany
| | - Isabelle Diaz
- Laboratory of Hematology, University Hospital of Montpellier, Montpellier, France
| | - Nuria Bermejo
- Servicio de Hematología, Hospital San Pedro de Alcántara, Complejo Hospitalario Universitario de Cáceres, Cáceres, Spain
| | - Marina Camera
- Centro Cardiologico Monzino, Istituto di Ricerca e Cura a Carattere Scientifico, Milan, Italy
| | - Pierre Fontana
- Division of Angiology and Haemostasis, Geneva University Hospitals, and Geneva Platelet Group, Faculty of Medicine, Geneva, Switzerland
| | - Anne Bauters
- Hemostasis Unit, Hospital University Center Lille, Lille, France
| | - Alain Stepanian
- Hematology Laboratory and Thrombosis Unit, Université Paris Cité, Hospital Group Lariboisière-Fernand Widal, Assistance Publique-Hôpitaux de Paris AP-HP, Paris, France
| | - Maria R Cozzi
- Immunopathology and Cancer Biomarkers Unit Centro di Riferimento Oncologico di Aviano, Aviano, Italy
| | - Anastasia N Sveshnikova
- Hemostasis Research Department, Dmitry Rogachev Pediatric Hematology and Immunology Hospital, Moscow, Russia
| | - Dorothée Faille
- Département d'Hématologie Biologique, Assistance Publique-Hôpitaux de Paris AP-HP, Centre Hospitalo-Universitaire CHU Bichat-Claude Bernard, Paris, France
| | - Wendy Hollon
- Jeanne M. Lusher Special Coagulation Laboratory, Children's Hospital of Michigan, Wayne State University, Detroit, Michigan, USA
| | - Meera Chitlur
- Central Michigan University, Jeanne M. Lusher Special Coagulation Laboratory, Children's Hospital of Michigan, Detroit, Michigan, USA
| | - Alessandra Casonato
- Department of Medicine, University of Padua Medical School, First chair of Internal Medicine, Padua, Italy
| | - Dominique Lasne
- Laboratoire d'Hématologie, Assistance Publique-Hôpitaux de Paris, Hôpital Necker-Enfants malades, Paris, France
| | - Cécile Lavenu-Bombled
- Service Hématologie Biologique, Centre de ressources et compétences de la filière de santé des maladies Hémorragiques constitutionnelles MHEMO, Centre Hospitalo-Universitaire CHU Bicêtre, Assistance Publique-Hôpitaux de Paris, Faculté de médecine Paris Saclay, Le Kremlin-Bicêtre, France
| | - Mathieu Fiore
- Bordeaux University Hospital, Laboratory of Hematology, Centre de Reference des Pathologies Plaquettaires Pessac, France
| | - Bello Hamidou
- Laboratory of Hematology, Centre de référence des pathologies plaquettaires, C2VN, INRAE, INSERM, Aix Marseille Université, Marseille, France
| | - Marie-Francoise Hurtaud-Roux
- Assistance Publique-Hôpitaux de Paris, Centre de Reference des Pathologies Plaquettaires, Hôpital Robert Debré, Paris, France
| | - Paul Saultier
- Laboratory of Hematology, Centre de référence des pathologies plaquettaires, C2VN, INRAE, INSERM, Aix Marseille Université, Marseille, France
| | - Louisa Goumidi
- Laboratory of Hematology, Centre de référence des pathologies plaquettaires, C2VN, INRAE, INSERM, Aix Marseille Université, Marseille, France
| | - Paolo Gresele
- Department of Medicine and Surgery, University of Perugia, Perugia, Italy
| | - Marie Lordkipanidzé
- Faculté de Pharmacie, Research Center and The Montreal Heart Institute, Université de Montréal, Montréal, Quebec, Canada
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17
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Akbari P, Vuckovic D, Stefanucci L, Jiang T, Kundu K, Kreuzhuber R, Bao EL, Collins JH, Downes K, Grassi L, Guerrero JA, Kaptoge S, Knight JC, Meacham S, Sambrook J, Seyres D, Stegle O, Verboon JM, Walter K, Watkins NA, Danesh J, Roberts DJ, Di Angelantonio E, Sankaran VG, Frontini M, Burgess S, Kuijpers T, Peters JE, Butterworth AS, Ouwehand WH, Soranzo N, Astle WJ. A genome-wide association study of blood cell morphology identifies cellular proteins implicated in disease aetiology. Nat Commun 2023; 14:5023. [PMID: 37596262 PMCID: PMC10439125 DOI: 10.1038/s41467-023-40679-y] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2021] [Accepted: 08/07/2023] [Indexed: 08/20/2023] Open
Abstract
Blood cells contain functionally important intracellular structures, such as granules, critical to immunity and thrombosis. Quantitative variation in these structures has not been subjected previously to large-scale genetic analysis. We perform genome-wide association studies of 63 flow-cytometry derived cellular phenotypes-including cell-type specific measures of granularity, nucleic acid content and reactivity-in 41,515 participants in the INTERVAL study. We identify 2172 distinct variant-trait associations, including associations near genes coding for proteins in organelles implicated in inflammatory and thrombotic diseases. By integrating with epigenetic data we show that many intracellular structures are likely to be determined in immature precursor cells. By integrating with proteomic data we identify the transcription factor FOG2 as an early regulator of platelet formation and α-granularity. Finally, we show that colocalisation of our associations with disease risk signals can suggest aetiological cell-types-variants in IL2RA and ITGA4 respectively mirror the known effects of daclizumab in multiple sclerosis and vedolizumab in inflammatory bowel disease.
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Affiliation(s)
- Parsa Akbari
- British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, Strangeways Research Laboratory, University of Cambridge, Wort's Causeway, Cambridge, CB1 8RN, UK
- Department of Human Genetics, The Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, CB10 1HH, UK
- Medical Research Council Biostatistics Unit, University of Cambridge, East Forvie Building, Cambridge Biomedical Campus, Forvie Site, Robinson Way, Cambridge, CB2 0SR, UK
- The National Institute for Health and Care Research Blood and Transplant Unit in Donor Health and Genomics, Strangeways Research Laboratory, Strangeways Research Laboratory, University of Cambridge, Wort's Causeway, Cambridge, CB1 8RN, UK
| | - Dragana Vuckovic
- Department of Human Genetics, The Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, CB10 1HH, UK
- The National Institute for Health and Care Research Blood and Transplant Unit in Donor Health and Genomics, Strangeways Research Laboratory, Strangeways Research Laboratory, University of Cambridge, Wort's Causeway, Cambridge, CB1 8RN, UK
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
| | - Luca Stefanucci
- Department of Haematology, University of Cambridge, Cambridge Biomedical Campus, Long Road, Cambridge, CB2 0PT, UK
- National Health Service Blood and Transplant, Cambridge Centre, Cambridge Biomedical Campus, Long Road, Cambridge, CB2 0PT, UK
- British Heart Foundation Centre of Research Excellence, University of Cambridge, Addenbrooke's Hospital, Cambridge Biomedical Campus, Cambridge, CB2 0QQ, UK
| | - Tao Jiang
- British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, Strangeways Research Laboratory, University of Cambridge, Wort's Causeway, Cambridge, CB1 8RN, UK
- The National Institute for Health and Care Research Blood and Transplant Unit in Donor Health and Genomics, Strangeways Research Laboratory, Strangeways Research Laboratory, University of Cambridge, Wort's Causeway, Cambridge, CB1 8RN, UK
- Victor Phillip Dahdaleh Heart and Lung Research Institute, University of Cambridge, Cambridge, CB2 0BB, UK
| | - Kousik Kundu
- Department of Human Genetics, The Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, CB10 1HH, UK
- Department of Haematology, University of Cambridge, Cambridge Biomedical Campus, Long Road, Cambridge, CB2 0PT, UK
| | - Roman Kreuzhuber
- Department of Haematology, University of Cambridge, Cambridge Biomedical Campus, Long Road, Cambridge, CB2 0PT, UK
| | - Erik L Bao
- Division of Hematology/Oncology, Boston Children's Hospital, Harvard Medical School, 1 Blackfan Circle, Boston, MA, 02115, USA
- Department of Pediatric Oncology, Dana-Farber Cancer Institute, Harvard Medical School, 450 Brookline Ave, Boston, MA, 02115, USA
- Broad Institute of MIT and Harvard, 415 Main St, Cambridge, MA, 02142, USA
- Harvard-MIT Health Sciences and Technology, Harvard Medical School, 77 Massachusetts Ave, Cambridge, MA, 02139, USA
| | - Janine H Collins
- Department of Haematology, University of Cambridge, Cambridge Biomedical Campus, Long Road, Cambridge, CB2 0PT, UK
- National Health Service Blood and Transplant, Cambridge Centre, Cambridge Biomedical Campus, Long Road, Cambridge, CB2 0PT, UK
- Department of Haematology, Barts Health National Health Service Trust, London, E1 1BB, UK
| | - Kate Downes
- Department of Haematology, University of Cambridge, Cambridge Biomedical Campus, Long Road, Cambridge, CB2 0PT, UK
- National Health Service Blood and Transplant, Cambridge Centre, Cambridge Biomedical Campus, Long Road, Cambridge, CB2 0PT, UK
| | - Luigi Grassi
- Department of Haematology, University of Cambridge, Cambridge Biomedical Campus, Long Road, Cambridge, CB2 0PT, UK
- National Health Service Blood and Transplant, Cambridge Centre, Cambridge Biomedical Campus, Long Road, Cambridge, CB2 0PT, UK
- National Institute for Health and Care Research Cambridge BioResource, Box 229, Addenbrooke's Hospital, Cambridge Biomedical Campus, Cambridge, CB2 0QQ, UK
| | - Jose A Guerrero
- Department of Haematology, University of Cambridge, Cambridge Biomedical Campus, Long Road, Cambridge, CB2 0PT, UK
- National Health Service Blood and Transplant, Cambridge Centre, Cambridge Biomedical Campus, Long Road, Cambridge, CB2 0PT, UK
| | - Stephen Kaptoge
- British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, Strangeways Research Laboratory, University of Cambridge, Wort's Causeway, Cambridge, CB1 8RN, UK
- The National Institute for Health and Care Research Blood and Transplant Unit in Donor Health and Genomics, Strangeways Research Laboratory, Strangeways Research Laboratory, University of Cambridge, Wort's Causeway, Cambridge, CB1 8RN, UK
- Victor Phillip Dahdaleh Heart and Lung Research Institute, University of Cambridge, Cambridge, CB2 0BB, UK
| | - Julian C Knight
- Wellcome Centre for Human Genetics, University of Oxford, Roosevelt Drive, Oxford, OX3 7BN, UK
| | - Stuart Meacham
- Department of Haematology, University of Cambridge, Cambridge Biomedical Campus, Long Road, Cambridge, CB2 0PT, UK
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, CB10 1SD, UK
| | - Jennifer Sambrook
- Department of Haematology, University of Cambridge, Cambridge Biomedical Campus, Long Road, Cambridge, CB2 0PT, UK
- National Institute for Health and Care Research Cambridge BioResource, Box 229, Addenbrooke's Hospital, Cambridge Biomedical Campus, Cambridge, CB2 0QQ, UK
| | - Denis Seyres
- Department of Haematology, University of Cambridge, Cambridge Biomedical Campus, Long Road, Cambridge, CB2 0PT, UK
- National Health Service Blood and Transplant, Cambridge Centre, Cambridge Biomedical Campus, Long Road, Cambridge, CB2 0PT, UK
- National Institute for Health and Care Research Cambridge BioResource, Box 229, Addenbrooke's Hospital, Cambridge Biomedical Campus, Cambridge, CB2 0QQ, UK
| | - Oliver Stegle
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, CB10 1SD, UK
- European Molecular Biology Laboratory, Genome Biology Unit, 69117, Heidelberg, Germany
- Division of Computational Genomics and Systems Genetics, German Cancer Research Center (DKFZ), 69120, Heidelberg, Germany
| | - Jeffrey M Verboon
- Division of Hematology/Oncology, Boston Children's Hospital, Harvard Medical School, 1 Blackfan Circle, Boston, MA, 02115, USA
- Department of Pediatric Oncology, Dana-Farber Cancer Institute, Harvard Medical School, 450 Brookline Ave, Boston, MA, 02115, USA
- Broad Institute of MIT and Harvard, 415 Main St, Cambridge, MA, 02142, USA
| | - Klaudia Walter
- Department of Human Genetics, The Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, CB10 1HH, UK
| | - Nicholas A Watkins
- National Health Service Blood and Transplant, Cambridge Centre, Cambridge Biomedical Campus, Long Road, Cambridge, CB2 0PT, UK
| | - John Danesh
- British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, Strangeways Research Laboratory, University of Cambridge, Wort's Causeway, Cambridge, CB1 8RN, UK
- Department of Human Genetics, The Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, CB10 1HH, UK
- The National Institute for Health and Care Research Blood and Transplant Unit in Donor Health and Genomics, Strangeways Research Laboratory, Strangeways Research Laboratory, University of Cambridge, Wort's Causeway, Cambridge, CB1 8RN, UK
- British Heart Foundation Centre of Research Excellence, University of Cambridge, Addenbrooke's Hospital, Cambridge Biomedical Campus, Cambridge, CB2 0QQ, UK
- Victor Phillip Dahdaleh Heart and Lung Research Institute, University of Cambridge, Cambridge, CB2 0BB, UK
- Health Data Research UK Cambridge, Wellcome Genome Campus and University of Cambridge, Cambridge, UK
| | - David J Roberts
- The National Institute for Health and Care Research Blood and Transplant Unit in Donor Health and Genomics, Strangeways Research Laboratory, Strangeways Research Laboratory, University of Cambridge, Wort's Causeway, Cambridge, CB1 8RN, UK
- Nuffield Division of Clinical Laboratory Sciences, Radcliffe Department of Medicine, University of Oxford, Headley Way, Headington, Oxford, OX3 9DU, UK
- National Institute for Health Research Oxford Biomedical Research Centre-Haematology Theme, John Radcliffe Hospital, Headley Way, Headington, Oxford, OX3 9DU, UK
- National Health Service Blood and Transplant, Oxford Centre, John Radcliffe Hospital, Headley Way, Headington, Oxford, OX3 9DU, UK
| | - Emanuele Di Angelantonio
- British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, Strangeways Research Laboratory, University of Cambridge, Wort's Causeway, Cambridge, CB1 8RN, UK
- The National Institute for Health and Care Research Blood and Transplant Unit in Donor Health and Genomics, Strangeways Research Laboratory, Strangeways Research Laboratory, University of Cambridge, Wort's Causeway, Cambridge, CB1 8RN, UK
- British Heart Foundation Centre of Research Excellence, University of Cambridge, Addenbrooke's Hospital, Cambridge Biomedical Campus, Cambridge, CB2 0QQ, UK
- Victor Phillip Dahdaleh Heart and Lung Research Institute, University of Cambridge, Cambridge, CB2 0BB, UK
- Health Data Science Research Centre, Fondazione Human Technopole, Viale Rita Levi Montalcini 1, Milan, 20157, Italy
| | - Vijay G Sankaran
- Division of Hematology/Oncology, Boston Children's Hospital, Harvard Medical School, 1 Blackfan Circle, Boston, MA, 02115, USA
- Department of Pediatric Oncology, Dana-Farber Cancer Institute, Harvard Medical School, 450 Brookline Ave, Boston, MA, 02115, USA
- Broad Institute of MIT and Harvard, 415 Main St, Cambridge, MA, 02142, USA
| | - Mattia Frontini
- Department of Haematology, University of Cambridge, Cambridge Biomedical Campus, Long Road, Cambridge, CB2 0PT, UK
- National Health Service Blood and Transplant, Cambridge Centre, Cambridge Biomedical Campus, Long Road, Cambridge, CB2 0PT, UK
- Department of Clinical and Biomedical Sciences, University of Exeter Medical School, Faculty of Health and Life Sciences, RILD Building, Barrack Road, Exeter, EX2 5DW, UK
| | - Stephen Burgess
- British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, Strangeways Research Laboratory, University of Cambridge, Wort's Causeway, Cambridge, CB1 8RN, UK
- Medical Research Council Biostatistics Unit, University of Cambridge, East Forvie Building, Cambridge Biomedical Campus, Forvie Site, Robinson Way, Cambridge, CB2 0SR, UK
- Victor Phillip Dahdaleh Heart and Lung Research Institute, University of Cambridge, Cambridge, CB2 0BB, UK
| | - Taco Kuijpers
- Department of Pediatric Immunology, Rheumatology and Infectious Disease, Emma Children's Hospital, Amsterdam University Medical Center, Amsterdam, CB2 0PT, UK
- Department of Blood Cell Research, Sanquin Research and Landsteiner Laboratory, Sanquin, University of Amsterdam, Amsterdam, Netherlands
| | - James E Peters
- Health Data Research UK Cambridge, Wellcome Genome Campus and University of Cambridge, Cambridge, UK
- Department of Immunology and Inflammation, Imperial College London, Commonwealth Building, The Hammersmith Hospital, Du Cane Road, London, W12 0NN, UK
| | - Adam S Butterworth
- British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, Strangeways Research Laboratory, University of Cambridge, Wort's Causeway, Cambridge, CB1 8RN, UK.
- The National Institute for Health and Care Research Blood and Transplant Unit in Donor Health and Genomics, Strangeways Research Laboratory, Strangeways Research Laboratory, University of Cambridge, Wort's Causeway, Cambridge, CB1 8RN, UK.
- British Heart Foundation Centre of Research Excellence, University of Cambridge, Addenbrooke's Hospital, Cambridge Biomedical Campus, Cambridge, CB2 0QQ, UK.
- Victor Phillip Dahdaleh Heart and Lung Research Institute, University of Cambridge, Cambridge, CB2 0BB, UK.
- Health Data Research UK Cambridge, Wellcome Genome Campus and University of Cambridge, Cambridge, UK.
| | - Willem H Ouwehand
- Department of Haematology, University of Cambridge, Cambridge Biomedical Campus, Long Road, Cambridge, CB2 0PT, UK.
- National Health Service Blood and Transplant, Cambridge Centre, Cambridge Biomedical Campus, Long Road, Cambridge, CB2 0PT, UK.
- Department of Haematology, University College London Hospitals, WC1E 6AS, London, UK.
| | - Nicole Soranzo
- Department of Human Genetics, The Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, CB10 1HH, UK.
- The National Institute for Health and Care Research Blood and Transplant Unit in Donor Health and Genomics, Strangeways Research Laboratory, Strangeways Research Laboratory, University of Cambridge, Wort's Causeway, Cambridge, CB1 8RN, UK.
- Department of Haematology, University of Cambridge, Cambridge Biomedical Campus, Long Road, Cambridge, CB2 0PT, UK.
- British Heart Foundation Centre of Research Excellence, University of Cambridge, Addenbrooke's Hospital, Cambridge Biomedical Campus, Cambridge, CB2 0QQ, UK.
- Genomics Research Centre, Fondazione Human Technopole, Viale Rita Levi Montalcini 1, Milan, 20157, Italy.
| | - William J Astle
- Medical Research Council Biostatistics Unit, University of Cambridge, East Forvie Building, Cambridge Biomedical Campus, Forvie Site, Robinson Way, Cambridge, CB2 0SR, UK.
- The National Institute for Health and Care Research Blood and Transplant Unit in Donor Health and Genomics, Strangeways Research Laboratory, Strangeways Research Laboratory, University of Cambridge, Wort's Causeway, Cambridge, CB1 8RN, UK.
- National Health Service Blood and Transplant, Cambridge Centre, Cambridge Biomedical Campus, Long Road, Cambridge, CB2 0PT, UK.
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18
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Krušič M, Jezernik G, Potočnik U. Gene Ontology Analysis Highlights Biological Processes Influencing Responsiveness to Biological Therapy in Psoriasis. Pharmaceutics 2023; 15:2024. [PMID: 37631238 PMCID: PMC10459906 DOI: 10.3390/pharmaceutics15082024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2023] [Revised: 06/27/2023] [Accepted: 07/24/2023] [Indexed: 08/27/2023] Open
Abstract
Psoriasis is a chronic, immune-mediated and inflammatory skin disease. Although various biological drugs are available for psoriasis treatment, some patients have poor responses or do not respond to treatment. The aim of the present study was to highlight the molecular mechanism of responsiveness to current biological drugs for psoriasis treatment. To this end, we reviewed previously published articles that reported genes associated with treatment response to biological drugs in psoriasis, and gene ontology analysis was subsequently performed using the Cytoscape platform. Herein, we revealed a statistically significant association between NF-kappaB signaling (p value = 3.37 × 10-9), regulation of granulocyte macrophage colony-stimulating factor production (p value = 6.20 × 10-6), glial cell proliferation (p value = 2.41 × 10-5) and treatment response in psoriatic patients. To the best of our knowledge, we are the first to directly associate glial cells with treatment response. Taken together, our study revealed gene ontology (GO) terms, some of which were previously shown to be implicated in the molecular pathway of psoriasis, as novel GO terms involved in responsiveness in psoriatic disease patients.
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Affiliation(s)
- Martina Krušič
- Center for Human Molecular Genetics and Pharmacogenomics, Faculty of Medicine, University of Maribor, Taborska ulica 8, 2000 Maribor, Slovenia; (M.K.); (G.J.)
| | - Gregor Jezernik
- Center for Human Molecular Genetics and Pharmacogenomics, Faculty of Medicine, University of Maribor, Taborska ulica 8, 2000 Maribor, Slovenia; (M.K.); (G.J.)
| | - Uroš Potočnik
- Center for Human Molecular Genetics and Pharmacogenomics, Faculty of Medicine, University of Maribor, Taborska ulica 8, 2000 Maribor, Slovenia; (M.K.); (G.J.)
- Faculty of Chemistry and Chemical Engineering, University of Maribor, Smetanova ulica 17, 2000 Maribor, Slovenia
- Department for Science and Research, University Clinical Centre Maribor, Ljubljanska ulica 5, 2000 Maribor, Slovenia
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19
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Prüschenk S, Majer M, Schlossmann J. Novel Functional Features of cGMP Substrate Proteins IRAG1 and IRAG2. Int J Mol Sci 2023; 24:9837. [PMID: 37372987 DOI: 10.3390/ijms24129837] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2023] [Revised: 06/01/2023] [Accepted: 06/05/2023] [Indexed: 06/29/2023] Open
Abstract
The inositol triphosphate-associated proteins IRAG1 and IRAG2 are cGMP kinase substrate proteins that regulate intracellular Ca2+. Previously, IRAG1 was discovered as a 125 kDa membrane protein at the endoplasmic reticulum, which is associated with the intracellular Ca2+ channel IP3R-I and the PKGIβ and inhibits IP3R-I upon PKGIβ-mediated phosphorylation. IRAG2 is a 75 kDa membrane protein homolog of IRAG1 and was recently also determined as a PKGI substrate. Several (patho-)physiological functions of IRAG1 and IRAG2 were meanwhile elucidated in a variety of human and murine tissues, e.g., of IRAG1 in various smooth muscles, heart, platelets, and other blood cells, of IRAG2 in the pancreas, heart, platelets, and taste cells. Hence, lack of IRAG1 or IRAG2 leads to diverse phenotypes in these organs, e.g., smooth muscle and platelet disorders or secretory deficiency, respectively. This review aims to highlight the recent research regarding these two regulatory proteins to envision their molecular and (patho-)physiological tasks and to unravel their functional interplay as possible (patho-)physiological counterparts.
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Affiliation(s)
- Sally Prüschenk
- Department of Pharmacology and Toxicology, Institute of Pharmacy, University of Regensburg, 93040 Regensburg, Germany
| | - Michael Majer
- Department of Pharmacology and Toxicology, Institute of Pharmacy, University of Regensburg, 93040 Regensburg, Germany
| | - Jens Schlossmann
- Department of Pharmacology and Toxicology, Institute of Pharmacy, University of Regensburg, 93040 Regensburg, Germany
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20
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Iglesias MJ, Sanchez-Rivera L, Ibrahim-Kosta M, Naudin C, Munsch G, Goumidi L, Farm M, Smith PM, Thibord F, Kral-Pointner JB, Hong MG, Suchon P, Germain M, Schrottmaier W, Dusart P, Boland A, Kotol D, Edfors F, Koprulu M, Pietzner M, Langenberg C, Damrauer SM, Johnson AD, Klarin DM, Smith NL, Smadja DM, Holmström M, Magnusson M, Silveira A, Uhlén M, Renné T, Martinez-Perez A, Emmerich J, Deleuze JF, Antovic J, Soria Fernandez JM, Assinger A, Schwenk JM, Souto Andres JC, Morange PE, Butler LM, Trégouët DA, Odeberg J. Elevated plasma complement factor H related 5 protein is associated with venous thromboembolism. Nat Commun 2023; 14:3280. [PMID: 37286573 PMCID: PMC10247781 DOI: 10.1038/s41467-023-38383-y] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2022] [Accepted: 04/28/2023] [Indexed: 06/09/2023] Open
Abstract
Venous thromboembolism (VTE) is a common, multi-causal disease with potentially serious short- and long-term complications. In clinical practice, there is a need for improved plasma biomarker-based tools for VTE diagnosis and risk prediction. Here we show, using proteomics profiling to screen plasma from patients with suspected acute VTE, and several case-control studies for VTE, how Complement Factor H Related 5 protein (CFHR5), a regulator of the alternative pathway of complement activation, is a VTE-associated plasma biomarker. In plasma, higher CFHR5 levels are associated with increased thrombin generation potential and recombinant CFHR5 enhanced platelet activation in vitro. GWAS analysis of ~52,000 participants identifies six loci associated with CFHR5 plasma levels, but Mendelian randomization do not demonstrate causality between CFHR5 and VTE. Our results indicate an important role for the regulation of the alternative pathway of complement activation in VTE and that CFHR5 represents a potential diagnostic and/or risk predictive plasma biomarker.
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Affiliation(s)
- Maria Jesus Iglesias
- Science for Life Laboratory, Department of Protein Science, CBH, KTH Royal Institute of Technology, SE-171 21, Stockholm, Sweden
- Division of Internal Medicine, University Hospital of North Norway (UNN), PB100, 9038, Tromsø, Norway
- Translational Vascular Research, Department of Clinical Medicine, UiT The Arctic University of Norway, 9019, Tromsø, Norway
| | - Laura Sanchez-Rivera
- Science for Life Laboratory, Department of Protein Science, CBH, KTH Royal Institute of Technology, SE-171 21, Stockholm, Sweden
| | - Manal Ibrahim-Kosta
- Aix-Marseille Univ, INSERM, INRAE, C2VN, Laboratory of Haematology, CRB Assistance Publique-Hôpitaux de Marseille, HemoVasc (CRB AP-HM HemoVasc), Marseille, France
| | - Clément Naudin
- Science for Life Laboratory, Department of Protein Science, CBH, KTH Royal Institute of Technology, SE-171 21, Stockholm, Sweden
- Translational Vascular Research, Department of Clinical Medicine, UiT The Arctic University of Norway, 9019, Tromsø, Norway
| | - Gaëlle Munsch
- University of Bordeaux, INSERM, Bordeaux Population Health Research Center, UMR 1219, ELEANOR, Bordeaux, France
| | - Louisa Goumidi
- Aix-Marseille Univ, INSERM, INRAE, C2VN, Laboratory of Haematology, CRB Assistance Publique-Hôpitaux de Marseille, HemoVasc (CRB AP-HM HemoVasc), Marseille, France
| | - Maria Farm
- Department of Molecular Medicine and Surgery, Karolinska Institute, Stockholm, Sweden
- Department of Clinical Chemistry, Karolinska University Hospital, Stockholm, Sweden
| | - Philip M Smith
- Department of Medicine Solna, Karolinska Institute and Karolinska University Hospital, Stockholm, Sweden
- Theme of Emergency and Reparative Medicine, Karolinska University Hospital, Stockholm, Sweden
| | - Florian Thibord
- Population Sciences Branch, Division of Intramural Research, National Heart, Lung and Blood Institute, Framingham, MA, USA
- The Framingham Heart Study, Boston University, Framingham, MA, USA
| | - Julia Barbara Kral-Pointner
- Center for Physiology and Pharmacology, Institute of Vascular Biology and Thrombosis Research, Medical University of Vienna, Vienna, Austria
| | - Mun-Gwan Hong
- Science for Life Laboratory, Department of Protein Science, CBH, KTH Royal Institute of Technology, SE-171 21, Stockholm, Sweden
| | - Pierre Suchon
- Aix-Marseille Univ, INSERM, INRAE, C2VN, Laboratory of Haematology, CRB Assistance Publique-Hôpitaux de Marseille, HemoVasc (CRB AP-HM HemoVasc), Marseille, France
| | - Marine Germain
- University of Bordeaux, INSERM, Bordeaux Population Health Research Center, UMR 1219, ELEANOR, Bordeaux, France
- Laboratory of Excellence GENMED (Medical Genomics), Bordeaux, France
| | - Waltraud Schrottmaier
- Center for Physiology and Pharmacology, Institute of Vascular Biology and Thrombosis Research, Medical University of Vienna, Vienna, Austria
| | - Philip Dusart
- Science for Life Laboratory, Department of Protein Science, CBH, KTH Royal Institute of Technology, SE-171 21, Stockholm, Sweden
- Translational Vascular Research, Department of Clinical Medicine, UiT The Arctic University of Norway, 9019, Tromsø, Norway
| | - Anne Boland
- Université Paris-Saclay, CEA, Centre National de Recherche en Génomique Humaine (CNRGH), 91057, Evry, France
- Laboratory of Excellence GENMED (Medical Genomics), Evry, France
| | - David Kotol
- Science for Life Laboratory, Department of Protein Science, CBH, KTH Royal Institute of Technology, SE-171 21, Stockholm, Sweden
| | - Fredrik Edfors
- Science for Life Laboratory, Department of Protein Science, CBH, KTH Royal Institute of Technology, SE-171 21, Stockholm, Sweden
| | - Mine Koprulu
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Institute of Metabolic Science, Cambridge, CB2 0QQ, UK
| | - Maik Pietzner
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Institute of Metabolic Science, Cambridge, CB2 0QQ, UK
- Computational Medicine, Berlin Institute of Health at Charité-Universitätsmedizin Berlin, 10117, Berlin, Germany
- Precision Healthcare University Research Institute, Queen Mary University of London, London, UK
| | - Claudia Langenberg
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Institute of Metabolic Science, Cambridge, CB2 0QQ, UK
- Computational Medicine, Berlin Institute of Health at Charité-Universitätsmedizin Berlin, 10117, Berlin, Germany
- Precision Healthcare University Research Institute, Queen Mary University of London, London, UK
| | - Scott M Damrauer
- Corporal Michael Crescenz VA Medical Center, Philadelphia, PA, USA
- Department of Surgery and Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Andrew D Johnson
- Population Sciences Branch, Division of Intramural Research, National Heart, Lung and Blood Institute, Framingham, MA, USA
- The Framingham Heart Study, Boston University, Framingham, MA, USA
| | - Derek M Klarin
- VA Palo Alto Healthcare System, Palo Alto, CA, USA
- Department of Vascular Surgery, Stanford University School of Medicine, Palo Alto, CA, USA
| | - Nicholas L Smith
- Department of Epidemiology, University of Washington, Seattle, WA, USA
- Kaiser Permanente Washington Health Research Institute, Seattle, WA, USA
- Seattle Epidemiologic Research and Information Center, Department of Veterans Affairs Office of Research and Development, Seattle, WA, USA
| | - David M Smadja
- Hematology Department and Biosurgical Research Lab (Carpentier Foundation), European Georges Pompidou Hospital, Assistance Publique Hôpitaux de Paris, 20 rue Leblanc, Paris, 75015, France
- Innovative Therapies in Haemostasis, INSERM, Université de Paris, 4 avenue de l'Observatoire, Paris, 75270, France
| | - Margareta Holmström
- Coagulation Unit, Department of Haematology, Karolinska University Hospital, SE-171 76, Stockholm, Sweden
| | - Maria Magnusson
- Department of Molecular Medicine and Surgery, Karolinska Institute, Stockholm, Sweden
- Coagulation Unit, Department of Haematology, Karolinska University Hospital, SE-171 76, Stockholm, Sweden
- Department of Clinical Science, Intervention and Technology, Karolinska Institute, 171 77, Stockholm, Sweden
| | - Angela Silveira
- Department of Medicine Solna, Karolinska Institute and Karolinska University Hospital, Stockholm, Sweden
| | - Mathias Uhlén
- Science for Life Laboratory, Department of Protein Science, CBH, KTH Royal Institute of Technology, SE-171 21, Stockholm, Sweden
| | - Thomas Renné
- Institute for Clinical Chemistry and Laboratory Medicine, University Medical Centre Hamburg-Eppendorf, D-20246, Hamburg, Germany
- Center for Thrombosis and Hemostasis (CTH), Johannes Gutenberg University Medical Center, D-, 55131, Mainz, Germany
- Irish Centre for Vascular Biology, School of Pharmacy and Biomolecular Sciences, Royal College of Surgeons in Ireland, Dublin 2, D02 YN77, Ireland
| | - Angel Martinez-Perez
- Genomics of Complex Diseases Group, Research Institute Hospital de la Santa Creu i Sant Pau. IIB Sant Pau, Barcelona, Spain
| | - Joseph Emmerich
- Department of vascular medicine, Paris Saint-Joseph Hospital Group, INSERM 1153-CRESS, University of Paris Cité, 185 rue Raymond Losserand, Paris, 75674, France
| | - Jean-Francois Deleuze
- Université Paris-Saclay, CEA, Centre National de Recherche en Génomique Humaine (CNRGH), 91057, Evry, France
- Laboratory of Excellence GENMED (Medical Genomics), Evry, France
- Centre D'Etude du Polymorphisme Humain, Fondation Jean Dausset, Paris, France
| | - Jovan Antovic
- Department of Molecular Medicine and Surgery, Karolinska Institute, Stockholm, Sweden
- Department of Clinical Chemistry, Karolinska University Hospital, Stockholm, Sweden
| | - Jose Manuel Soria Fernandez
- Genomics of Complex Diseases Group, Research Institute Hospital de la Santa Creu i Sant Pau. IIB Sant Pau, Barcelona, Spain
| | - Alice Assinger
- Center for Physiology and Pharmacology, Institute of Vascular Biology and Thrombosis Research, Medical University of Vienna, Vienna, Austria
| | - Jochen M Schwenk
- Science for Life Laboratory, Department of Protein Science, CBH, KTH Royal Institute of Technology, SE-171 21, Stockholm, Sweden
| | - Joan Carles Souto Andres
- Unitat d'Hemostàsia i Trombosi. Hospital de la Santa Creu i Sant Pau and IIB-Sant Pau, Barcelona, Spain
| | - Pierre-Emmanuel Morange
- Aix-Marseille Univ, INSERM, INRAE, C2VN, Laboratory of Haematology, CRB Assistance Publique-Hôpitaux de Marseille, HemoVasc (CRB AP-HM HemoVasc), Marseille, France
| | - Lynn Marie Butler
- Science for Life Laboratory, Department of Protein Science, CBH, KTH Royal Institute of Technology, SE-171 21, Stockholm, Sweden
- Translational Vascular Research, Department of Clinical Medicine, UiT The Arctic University of Norway, 9019, Tromsø, Norway
- Department of Molecular Medicine and Surgery, Karolinska Institute, Stockholm, Sweden
- Department of Clinical Chemistry, Karolinska University Hospital, Stockholm, Sweden
| | - David-Alexandre Trégouët
- University of Bordeaux, INSERM, Bordeaux Population Health Research Center, UMR 1219, ELEANOR, Bordeaux, France.
- Laboratory of Excellence GENMED (Medical Genomics), Bordeaux, France.
| | - Jacob Odeberg
- Science for Life Laboratory, Department of Protein Science, CBH, KTH Royal Institute of Technology, SE-171 21, Stockholm, Sweden.
- Division of Internal Medicine, University Hospital of North Norway (UNN), PB100, 9038, Tromsø, Norway.
- Translational Vascular Research, Department of Clinical Medicine, UiT The Arctic University of Norway, 9019, Tromsø, Norway.
- Department of Medicine Solna, Karolinska Institute and Karolinska University Hospital, Stockholm, Sweden.
- Coagulation Unit, Department of Haematology, Karolinska University Hospital, SE-171 76, Stockholm, Sweden.
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21
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Elenbaas JS, Pudupakkam U, Ashworth KJ, Kang CJ, Patel V, Santana K, Jung IH, Lee PC, Burks KH, Amrute JM, Mecham RP, Halabi CM, Alisio A, Di Paola J, Stitziel NO. SVEP1 is an endogenous ligand for the orphan receptor PEAR1. Nat Commun 2023; 14:850. [PMID: 36792666 PMCID: PMC9932102 DOI: 10.1038/s41467-023-36486-0] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2022] [Accepted: 01/30/2023] [Indexed: 02/17/2023] Open
Abstract
Sushi, von Willebrand factor type A, EGF and pentraxin domain containing 1 (SVEP1) is an extracellular matrix protein that causally promotes vascular disease and associates with platelet reactivity in humans. Here, using a human genomic and proteomic approach, we identify a high affinity, disease-relevant, and potentially targetable interaction between SVEP1 and the orphan receptor Platelet and Endothelial Aggregation Receptor 1 (PEAR1). This interaction promotes PEAR1 phosphorylation and disease associated AKT/mTOR signaling in vascular cells and platelets. Mice lacking SVEP1 have reduced platelet activation, and exogenous SVEP1 induces PEAR1-dependent activation of platelets. SVEP1 and PEAR1 causally and concordantly relate to platelet phenotypes and cardiovascular disease in humans, as determined by Mendelian Randomization. Targeting this receptor-ligand interaction may be a viable therapeutic strategy to treat or prevent cardiovascular and thrombotic disease.
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Affiliation(s)
- Jared S Elenbaas
- Division of Cardiology, Department of Medicine, Washington University School of Medicine, Saint Louis, MO, 63110, USA.
- Medical Scientist Training Program, Washington University School of Medicine, Saint Louis, MO, 63110, USA.
| | - Upasana Pudupakkam
- Division of Cardiology, Department of Medicine, Washington University School of Medicine, Saint Louis, MO, 63110, USA
| | - Katrina J Ashworth
- Division of Pediatric Hematology Oncology, Washington University in St. Louis, St. Louis, MO, 63110, USA
| | - Chul Joo Kang
- McDonnell Genome Institute, Washington University School of Medicine, Saint Louis, MO, 63108, USA
| | - Ved Patel
- Division of Cardiology, Department of Medicine, Washington University School of Medicine, Saint Louis, MO, 63110, USA
| | - Katherine Santana
- Division of Cardiology, Department of Medicine, Washington University School of Medicine, Saint Louis, MO, 63110, USA
| | - In-Hyuk Jung
- Division of Cardiology, Department of Medicine, Washington University School of Medicine, Saint Louis, MO, 63110, USA
| | - Paul C Lee
- Division of Cardiology, Department of Medicine, Washington University School of Medicine, Saint Louis, MO, 63110, USA
- Medical Scientist Training Program, Washington University School of Medicine, Saint Louis, MO, 63110, USA
| | - Kendall H Burks
- Division of Cardiology, Department of Medicine, Washington University School of Medicine, Saint Louis, MO, 63110, USA
- Medical Scientist Training Program, Washington University School of Medicine, Saint Louis, MO, 63110, USA
| | - Junedh M Amrute
- Division of Cardiology, Department of Medicine, Washington University School of Medicine, Saint Louis, MO, 63110, USA
- Medical Scientist Training Program, Washington University School of Medicine, Saint Louis, MO, 63110, USA
| | - Robert P Mecham
- Department of Cell Biology and Physiology, Washington University School of Medicine, Saint Louis, MO, 63110, USA
| | - Carmen M Halabi
- Department of Cell Biology and Physiology, Washington University School of Medicine, Saint Louis, MO, 63110, USA
- Department of Pediatrics, Washington University School of Medicine, Saint Louis, MO, 63110, USA
| | - Arturo Alisio
- Division of Cardiology, Department of Medicine, Washington University School of Medicine, Saint Louis, MO, 63110, USA
| | - Jorge Di Paola
- Division of Pediatric Hematology Oncology, Washington University in St. Louis, St. Louis, MO, 63110, USA
| | - Nathan O Stitziel
- Division of Cardiology, Department of Medicine, Washington University School of Medicine, Saint Louis, MO, 63110, USA.
- McDonnell Genome Institute, Washington University School of Medicine, Saint Louis, MO, 63108, USA.
- Department of Genetics, Washington University School of Medicine, Saint Louis, MO, 63110, USA.
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22
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Wang J, Liu X, Wang H, Qin L, Feng A, Qi D, Wang H, Zhao Y, Kong L, Wang H, Wang L, Hu Z, Xu X. JMJD1C Regulates Megakaryopoiesis in In Vitro Models through the Actin Network. Cells 2022; 11:cells11223660. [PMID: 36429088 PMCID: PMC9688414 DOI: 10.3390/cells11223660] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2022] [Revised: 11/14/2022] [Accepted: 11/16/2022] [Indexed: 11/19/2022] Open
Abstract
The histone demethylase JMJD1C is associated with human platelet counts. The JMJD1C knockout in zebrafish and mice leads to the ablation of megakaryocyte-erythroid lineage anemia. However, the specific expression, function, and mechanism of JMJD1C in megakaryopoiesis remain unknown. Here, we used cell line models, cord blood cells, and thrombocytopenia samples, to detect the JMJD1C expression. ShRNA of JMJD1C and a specific peptide agonist of JMJD1C, SAH-JZ3, were used to explore the JMJD1C function in the cell line models. The actin ratio in megakaryopoiesis for the JMJDC modulation was also measured. Mass spectrometry was used to identify the JMJD1C-interacting proteins. We first show the JMJD1C expression difference in the PMA-induced cell line models, the thrombopoietin (TPO)-induced megakaryocyte differentiation of the cord blood cells, and also the thrombocytopenia patients, compared to the normal controls. The ShRNA of JMJD1C and SAH-JZ3 showed different effects, which were consistent with the expression of JMJD1C in the cell line models. The effort to find the underlying mechanism of JMJD1C in megakaryopoiesis, led to the discovery that SAH-JZ3 decreases F-actin in K562 cells and increases F-actin in MEG-01 cells. We further performed mass spectrometry to identify the potential JMJD1C-interacting proteins and found that the important Ran GTPase interacts with JMJD1C. To sum up, JMJD1C probably regulates megakaryopoiesis by influencing the actin network.
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Affiliation(s)
- Jialing Wang
- Laboratory for Stem Cell and Regenerative Medicine, the Affiliated Hospital of Weifang Medical University, Weifang 261031, China
- School of Life Science and Technology, Weifang Medical University, Weifang 261053, China
| | - Xiaodan Liu
- Laboratory for Stem Cell and Regenerative Medicine, the Affiliated Hospital of Weifang Medical University, Weifang 261031, China
- School of Life Science and Technology, Weifang Medical University, Weifang 261053, China
| | - Haixia Wang
- Department of Blood Transfusion, the Affiliated Hospital of Weifang Medical University, Weifang 261031, China
| | - Lili Qin
- Department of Hematology, the Affiliated Hospital of Weifang Medical University, Weifang 261031, China
| | - Anhua Feng
- Department of Hematology, the Affiliated Hospital of Weifang Medical University, Weifang 261031, China
| | - Daoxin Qi
- Laboratory for Stem Cell and Regenerative Medicine, the Affiliated Hospital of Weifang Medical University, Weifang 261031, China
| | - Haihua Wang
- Laboratory for Stem Cell and Regenerative Medicine, the Affiliated Hospital of Weifang Medical University, Weifang 261031, China
| | - Yao Zhao
- Laboratory for Stem Cell and Regenerative Medicine, the Affiliated Hospital of Weifang Medical University, Weifang 261031, China
| | - Lihua Kong
- Department of Hematology, the Affiliated Hospital of Weifang Medical University, Weifang 261031, China
| | - Haiying Wang
- Department of Hematology, the Affiliated Hospital of Weifang Medical University, Weifang 261031, China
| | - Lin Wang
- The School of Physics and Electronic Information, Weifang University, Weifang 261061, China
| | - Zhenbo Hu
- Laboratory for Stem Cell and Regenerative Medicine, the Affiliated Hospital of Weifang Medical University, Weifang 261031, China
- Correspondence: (Z.H.); (X.X.)
| | - Xin Xu
- Laboratory for Stem Cell and Regenerative Medicine, the Affiliated Hospital of Weifang Medical University, Weifang 261031, China
- School of Life Science and Technology, Weifang Medical University, Weifang 261053, China
- Correspondence: (Z.H.); (X.X.)
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23
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Thibord F, Klarin D, Brody JA, Chen MH, Levin MG, Chasman DI, Goode EL, Hveem K, Teder-Laving M, Martinez-Perez A, Aïssi D, Daian-Bacq D, Ito K, Natarajan P, Lutsey PL, Nadkarni GN, de Vries PS, Cuellar-Partida G, Wolford BN, Pattee JW, Kooperberg C, Braekkan SK, Li-Gao R, Saut N, Sept C, Germain M, Judy RL, Wiggins KL, Ko D, O’Donnell CJ, Taylor KD, Giulianini F, De Andrade M, Nøst TH, Boland A, Empana JP, Koyama S, Gilliland T, Do R, Huffman JE, Wang X, Zhou W, Soria JM, Souto JC, Pankratz N, Haessler J, Hindberg K, Rosendaal FR, Turman C, Olaso R, Kember RL, Bartz TM, Lynch JA, Heckbert SR, Armasu SM, Brumpton B, Smadja DM, Jouven X, Komuro I, Clapham KR, Loos RJ, Willer CJ, Sabater-Lleal M, Pankow JS, Reiner AP, Morelli VM, Ridker PM, van Hylckama Vlieg A, Deleuze JF, Kraft P, Rader DJ, Lee KM, Psaty BM, Skogholt AH, Emmerich J, Suchon P, Rich SS, Vy HMT, Tang W, Jackson RD, Hansen JB, Morange PE, Kabrhel C, Trégouët DA, Damrauer SM, Johnson AD, Smith NL. Cross-Ancestry Investigation of Venous Thromboembolism Genomic Predictors. Circulation 2022; 146:1225-1242. [PMID: 36154123 PMCID: PMC10152894 DOI: 10.1161/circulationaha.122.059675] [Citation(s) in RCA: 37] [Impact Index Per Article: 18.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/01/2022] [Accepted: 08/09/2022] [Indexed: 01/24/2023]
Abstract
BACKGROUND Venous thromboembolism (VTE) is a life-threatening vascular event with environmental and genetic determinants. Recent VTE genome-wide association studies (GWAS) meta-analyses involved nearly 30 000 VTE cases and identified up to 40 genetic loci associated with VTE risk, including loci not previously suspected to play a role in hemostasis. The aim of our research was to expand discovery of new genetic loci associated with VTE by using cross-ancestry genomic resources. METHODS We present new cross-ancestry meta-analyzed GWAS results involving up to 81 669 VTE cases from 30 studies, with replication of novel loci in independent populations and loci characterization through in silico genomic interrogations. RESULTS In our genetic discovery effort that included 55 330 participants with VTE (47 822 European, 6320 African, and 1188 Hispanic ancestry), we identified 48 novel associations, of which 34 were replicated after correction for multiple testing. In our combined discovery-replication analysis (81 669 VTE participants) and ancestry-stratified meta-analyses (European, African, and Hispanic), we identified another 44 novel associations, which are new candidate VTE-associated loci requiring replication. In total, across all GWAS meta-analyses, we identified 135 independent genomic loci significantly associated with VTE risk. A genetic risk score of the significantly associated loci in Europeans identified a 6-fold increase in risk for those in the top 1% of scores compared with those with average scores. We also identified 31 novel transcript associations in transcriptome-wide association studies and 8 novel candidate genes with protein quantitative-trait locus Mendelian randomization analyses. In silico interrogations of hemostasis and hematology traits and a large phenome-wide association analysis of the 135 GWAS loci provided insights to biological pathways contributing to VTE, with some loci contributing to VTE through well-characterized coagulation pathways and others providing new data on the role of hematology traits, particularly platelet function. Many of the replicated loci are outside of known or currently hypothesized pathways to thrombosis. CONCLUSIONS Our cross-ancestry GWAS meta-analyses identified new loci associated with VTE. These findings highlight new pathways to thrombosis and provide novel molecules that may be useful in the development of improved antithrombosis treatments.
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Affiliation(s)
- Florian Thibord
- Population Sciences Branch, Division of Intramural Research, National Heart, Lung and Blood Institute, 73 Mt. Wayte Ave, Suite #2, Framingham, MA, 01702, USA
- The Framingham Heart Study, Boston University and NHLBI, 73 Mt. Wayte Ave, Suite #2, Framingham, MA, 01702, USA
| | - Derek Klarin
- Division of Vascular Surgery, Stanford University School of Medicine, Stanford, CA, 94305, USA
- VA Palo Alto Healthcare System, Palo Alto, CA, 94550, USA
| | - Jennifer A. Brody
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, 1730 Minor Ave, Suite 1360, Seattle, WA, 98101, USA
| | - Ming-Huei Chen
- Population Sciences Branch, Division of Intramural Research, National Heart, Lung and Blood Institute, 73 Mt. Wayte Ave, Suite #2, Framingham, MA, 01702, USA
- The Framingham Heart Study, Boston University and NHLBI, 73 Mt. Wayte Ave, Suite #2, Framingham, MA, 01702, USA
| | - Michael G. Levin
- Division of Cardiovascular Medicine, Department of Medicine, University of Pennsylvania, 3400 Spruce Street, Philadelphia, PA, 19104, USA
| | - Daniel I. Chasman
- Division of Preventive Medicine, Brigham and Women’s Hospital, 900 Commonwealth Ave, Boston, MA, 02215, USA
- Harvard Medical School, Boston, MA, 02115, USA
| | - Ellen L. Goode
- Department of Quantitative Health Sciences, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA
| | - Kristian Hveem
- HUNT Research Center, Department of Public Health and Nursing, Norwegian University of Science and Technology, Forskningsvegen 2, Levanger, 7600, Norway
- K.G. Jebsen Centre for Genetic Epidemiology, Department of Public Health and Nursing, Norwegian University of Science and Technology, Håkon Jarls gate 11, Trondheim, 7030, Norway
| | - Maris Teder-Laving
- Institute of Genomics, University of Tartu, Riia 23b, Tartu, Tartu, 51010, Estonia
| | - Angel Martinez-Perez
- Genomics of Complex Disease Unit, Institut d’Investigació Biomèdica Sant Pau (IIB SANT PAU), St Quinti 77-79, Barcelona, 8041, Spain
| | - Dylan Aïssi
- Bordeaux Population Health Research Center, University of Bordeaux, 146 rue Léo Saignat, Bordeaux, 33076, France
- UMR1219, INSERM, 146 rue Léo Saignat, Bordeaux, 33076, France
| | - Delphine Daian-Bacq
- Centre National de Recherche en Génomique Humaine, CEA, Université Paris-Saclay, 2 Rue Gaston Crémieux, Evry, 91057, France
- Laboratory of Excellence on Medical Genomics, GenMed, France
| | - Kaoru Ito
- Laboratory for Cardiovascular Genomics and Informatics, RIKEN Center for Integrative Medical Sciences, 1-7-22 Suehirocho, Tsurumi-ku, Yokohama, Kanagawa, 230-0045, Japan
| | - Pradeep Natarajan
- Cardiovascular Research Center, Massachusetts General Hospital, 185 Cambridge Street, Boston, MA, 02446, USA
- Program in Medical and Population Genetics and the Cardiovascular Disease Initiative, Broad Institute of Harvard & MIT, 75 Ames St, Cambridge, MA, 02142, USA
- Department of Medicine, Harvard Medical School, Shattuck St, Boston, MA, 02115, USA
| | - Pamela L. Lutsey
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, 1300 South Second Street, Minneapolis, MN, 55454, USA
| | - Girish N. Nadkarni
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, 1 Gustave L. Levy Pl, New York, NY, 10029, USA
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, 1 Gu stave L. Levy Pl, New York, NY, 10029, USA
- Division of Nephrology, Department of Medicine, Icahn School of Medicine at Mount Sinai, 1 Gustave L. Levy Pl, New York, NY, 10029, USA
| | - Paul S. de Vries
- Human Genetics Center, Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, University of Texas Health Science Center at Houston, 1200 Pressler St, Houston, TX, 77030, USA
| | | | - Brooke N. Wolford
- Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, 48109, USA
| | - Jack W. Pattee
- Division of Biostatistics, University of Minnesota, 420 Delaware Street SE, Minneapolis, MN, 55455, USA
- Center for Innovative Design & Analysis and Department of Biostatistics & Informatics, Colorado School of Public Health, 13001 East 17th Place, Aurora, CO, 80045, USA
| | - Charles Kooperberg
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, 1100 Fairview Ave N, Seattle, WA, 98109, USA
| | - Sigrid K. Braekkan
- Thrombosis Research Center (TREC), UiT - The Arctic University of Norway, Universitetsvegen 57, Tromsø, 9037, Norway
- Division of internal medicine, University Hospital of North Norway, Tromsø, 9038, Norway
| | - Ruifang Li-Gao
- Clinical Epidemiology, Leiden University Medical Center, PO Box 9600, Leiden, 2300 RC, The Netherlands
| | - Noemie Saut
- Hematology Laboratory, La Timone University Hospital of Marseille, 264 Rue Saint-Pierre, Marseille, 13385, France
| | - Corriene Sept
- Department of Epidemiology, Harvard TH Chan Harvard School of Public Health, 655 Huntington Ave., Building II, Boston, MA, 02115, USA
| | - Marine Germain
- Bordeaux Population Health Research Center, University of Bordeaux, 146 rue Léo Saignat, Bordeaux, 33076, France
- UMR1219, INSERM, 146 rue Léo Saignat, Bordeaux, 33076, France
- Laboratory of Excellence on Medical Genomics, GenMed, France
| | - Renae L. Judy
- Surgery, University of Pennsylvania, 3401 Walnut Street, Philadelphia, PA, 19104, USA
| | - Kerri L. Wiggins
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, 1730 Minor Ave, Suite 1360, Seattle, WA, 98101, USA
| | - Darae Ko
- The Framingham Heart Study, Boston University and NHLBI, 73 Mt. Wayte Ave, Suite #2, Framingham, MA, 01702, USA
- Section of Cardiovascular Medicine, Boston University School of Medicine, 85 East Newton Street, Boston, MA, 02118, USA
| | - Christopher J. O’Donnell
- Cardiology Section, Department of Medicine, VA Boston Healthcare System, Boston, MA, 02132, USA
- Department of Medicine, Harvard Medical School, Boston, MA, 02115, USA
| | - Kent D. Taylor
- Institute for Translational Genomics and Population Sciences, The Lundquist Institute for Biomedical Innovation, 1124 W Carson St., Torrance, CA, 90502, USA
| | - Franco Giulianini
- Division of Preventive Medicine, Brigham and Women’s Hospital, 900 Commonwealth Ave, Boston, MA, 02215, USA
| | - Mariza De Andrade
- Department of Quantitative Health Sciences, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA
| | - Therese H. Nøst
- K.G. Jebsen Centre for Genetic Epidemiology, Department of Public Health and Nursing, Norwegian University of Science and Technology, Håkon Jarls gate 11, Trondheim, 7030, Norway
| | - Anne Boland
- Centre National de Recherche en Génomique Humaine, CEA, Université Paris-Saclay, 2 Rue Gaston Crémieux, Evry, 91057, France
- Laboratory of Excellence on Medical Genomics, GenMed, France
| | - Jean-Philippe Empana
- Integrative Epidemiology of cardiovascular diseases, Université Paris Cité, Paris Cardiovascular Research Center (PARCC), 56 rue Leblanc, Paris, 75015, France
- Department of Cardiology, APHP, Hopital Européen Georges Pompidou, 20 rue Leblanc, Paris, 75015, France
| | - Satoshi Koyama
- Laboratory for Cardiovascular Genomics and Informatics, RIKEN Center for Integrative Medical Sciences, 1-7-22 Suehirocho, Tsurumi-ku, Yokohama, Kanagawa, 230-0045, Japan
- Cardiovascular Research Center, Massachusetts General Hospital, 185 Cambridge Street, Boston, MA, 02446, USA
- Program in Medical and Population Genetics and the Cardiovascular Disease Initiative, Broad Institute of Harvard & MIT, 75 Ames St, Cambridge, MA, 02142, USA
| | - Thomas Gilliland
- Cardiovascular Research Center, Massachusetts General Hospital, 185 Cambridge Street, Boston, MA, 02446, USA
- Program in Medical and Population Genetics and the Cardiovascular Disease Initiative, Broad Institute of Harvard & MIT, 75 Ames St, Cambridge, MA, 02142, USA
- Department of Medicine, Harvard Medical School, Shattuck St, Boston, MA, 02115, USA
| | - Ron Do
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, 1 Gustave L. Levy Pl, New York, NY, 10029, USA
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, 1 Gu stave L. Levy Pl, New York, NY, 10029, USA
- BioMe Phenomics Center, Icahn School of Medicine at Mount Sinai, 1 Gustave L. Levy Pl, New York, NY, 10029, USA
| | - Jennifer E. Huffman
- MAVERIC, VA Boston Heathcare System, 2 Avenue de Lafayette, Boston, MA, 02111, USA
| | - Xin Wang
- 23andMe, Inc., 223 N Mathilda Ave, Sunnyvale, CA, 94086, USA
| | - Wei Zhou
- Analytic and Translational Genetics Unit, Department of Medicine, Massachusetts General Hospital, 55 Fruit Street, Boston, MA, 02114, USA
| | - Jose Manuel Soria
- Genomics of Complex Disease Unit, Institut d’Investigació Biomèdica Sant Pau (IIB SANT PAU), St Quinti 77-79, Barcelona, 8041, Spain
| | - Juan Carlos Souto
- Genomics of Complex Disease Unit, Institut d’Investigació Biomèdica Sant Pau (IIB SANT PAU), St Quinti 77-79, Barcelona, 8041, Spain
- Unit of Thrombosis and Hemostasis, Hospital de la Santa Creu i Sant Pau, St Quinti 89, Barcelona, 8041, Spain
| | - Nathan Pankratz
- Department of Laboratory Medicine and Pathology, University of Minnesota, 420 Delaware Street SE, Minneapolis, MN, 55455, USA
| | - Jeffery Haessler
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, 1100 Fairview Ave N, Seattle, WA, 98109, USA
| | - Kristian Hindberg
- Thrombosis Research Center (TREC), UiT - The Arctic University of Norway, Universitetsvegen 57, Tromsø, 9037, Norway
| | - Frits R. Rosendaal
- Clinical Epidemiology, Leiden University Medical Center, PO Box 9600, Leiden, 2300 RC, The Netherlands
| | - Constance Turman
- Department of Epidemiology, Harvard TH Chan Harvard School of Public Health, 655 Huntington Ave., Building II, Boston, MA, 02115, USA
| | - Robert Olaso
- Centre National de Recherche en Génomique Humaine, CEA, Université Paris-Saclay, 2 Rue Gaston Crémieux, Evry, 91057, France
- Laboratory of Excellence on Medical Genomics, GenMed, France
| | - Rachel L. Kember
- Psychiatry, University of Pennsylvania, 3401 Walnut Street, Philadelphia, PA, 19104, USA
| | - Traci M. Bartz
- Cardiovascular Health Research Unit, Departments of Biostatistics and Medicine, University of Washington, 1730 Minor Ave, Suite 1360, Seattle, WA, 98101, USA
| | - Julie A. Lynch
- VA Informatics & Computing Infrastructure, VA Salt Lake City Healthcare System, 500 Foothills Drive, Salt Lake City, UT, 84148, USA
- Epidemiology, University of Utah, 500 Foothills Drive, Salt Lake City, UT, 84148, USA
| | - Susan R. Heckbert
- Department of Epidemiology, University of Washington, 1730 Minor Ave, Suite 1360, Seattle, WA, 98101, USA
| | - Sebastian M. Armasu
- Department of Quantitative Health Sciences, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA
| | - Ben Brumpton
- K.G. Jebsen Centre for Genetic Epidemiology, Department of Public Health and Nursing, Norwegian University of Science and Technology, Håkon Jarls gate 11, Trondheim, 7030, Norway
| | - David M. Smadja
- Hematology Department and Biosurgical Research Lab (Carpentier Foundation), European Georges Pompidou Hospital, Assistance Publique Hôpitaux de Paris, 20 rue Leblanc, Paris, 75015, France
- Innovative Therapies in Haemostasis, INSERM, Université de Paris, 4 avenue de l’Observatoire, Paris, 75270, France
| | - Xavier Jouven
- Integrative Epidemiology of cardiovascular diseases, Université Paris Descartes, Sorbonne Paris Cité, 56 rue Leblanc, Paris, 75015, France
- Paris Cardiovascular Research Center, Inserm U970, Université Paris Descartes, Sorbonne Paris Cité, 20 rue Leblanc, Paris, 75015, France
| | - Issei Komuro
- Department of Cardiovascular Medicine, The University of Tokyo, 7-3-1, Hongo, Bunkyo-ku, Tokyo, Tokyo, 113-8655, Japan
| | - Katharine R. Clapham
- Program in Medical and Population Genetics and the Cardiovascular Disease Initiative, Broad Institute of Harvard & MIT, 75 Ames St, Cambridge, MA, 02142, USA
- Department of Medicine, Harvard Medical School, Shattuck St, Boston, MA, 02115, USA
- Division of Pulmonary and Critical Care Medicine, Brigham and Women’s Hospital, 900 Commonwealth Ave, Boston, MA, 02215, USA
| | - Ruth J.F. Loos
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, 1 Gustave L. Levy Pl, New York, NY, 10029, USA
| | - Cristen J. Willer
- Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, 48109, USA
| | - Maria Sabater-Lleal
- Genomics of Complex Disease Unit, Institut d’Investigació Biomèdica Sant Pau (IIB SANT PAU), St Quinti 77-79, Barcelona, 8041, Spain
- Cardiovascular Medicine Unit, Department of Medicine, Karolinska Institutet, Center for Molecular Medicine, Stockholm, 17176, Sweden
| | - James S. Pankow
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, 1300 South Second Street, Minneapolis, MN, 55454, USA
| | - Alexander P. Reiner
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, 1100 Fairview Ave N, Seattle, WA, 98109, USA
- Department of Epidemiology, University of Washington, 1730 Minor Ave, Suite 1360, Seattle, WA, 98101, USA
| | - Vania M. Morelli
- Thrombosis Research Center (TREC), UiT - The Arctic University of Norway, Universitetsvegen 57, Tromsø, 9037, Norway
- Division of internal medicine, University Hospital of North Norway, Tromsø, 9038, Norway
| | - Paul M. Ridker
- Division of Preventive Medicine, Brigham and Women’s Hospital, 900 Commonwealth Ave, Boston, MA, 02215, USA
- Harvard Medical School, Boston, MA, 02115, USA
| | - Astrid van Hylckama Vlieg
- Clinical Epidemiology, Leiden University Medical Center, PO Box 9600, Leiden, 2300 RC, The Netherlands
| | - Jean-François Deleuze
- Centre National de Recherche en Génomique Humaine, CEA, Université Paris-Saclay, 2 Rue Gaston Crémieux, Evry, 91057, France
- Laboratory of Excellence on Medical Genomics, GenMed, France
- Centre D’Etude du Polymorphisme Humain, Fondation Jean Dausset, 27 rue Juliette Dodu, Paris, 75010, France
| | - Peter Kraft
- Department of Epidemiology, Harvard TH Chan Harvard School of Public Health, 655 Huntington Ave., Building II, Boston, MA, 02115, USA
| | - Daniel J. Rader
- Departments of Medicine and Genetics and Cardiovascular Institute, Perelman School of Medicine, University of Pennsylvania, 3400 Civic Center Blvd, Philadelphia, PA, 19104, USA
| | | | | | | | | | | | - Kyung Min Lee
- VA Informatics & Computing Infrastructure, VA Salt Lake City Healthcare System, 500 Foothills Drive, Salt Lake City, UT, 84148, USA
| | - Bruce M. Psaty
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, 1730 Minor Ave, Suite 1360, Seattle, WA, 98101, USA
- Department of Epidemiology, University of Washington, 1730 Minor Ave, Suite 1360, Seattle, WA, 98101, USA
- Department of Health Systems and Population Heath, University of Washington, 1730 Minor Ave, Suite 1360, Seattle, WA, 98101, USA
| | - Anne Heidi Skogholt
- K.G. Jebsen Centre for Genetic Epidemiology, Department of Public Health and Nursing, Norwegian University of Science and Technology, Håkon Jarls gate 11, Trondheim, 7030, Norway
| | - Joseph Emmerich
- Department of vascular medicine, Paris Saint-Joseph Hospital Group, University of Paris, 185 rue Raymond Losserand, Paris, 75674, France
- UMR1153, INSERM CRESS, 185 rue Raymond Losserand, Paris, 75674, France
| | - Pierre Suchon
- Hematology Laboratory, La Timone University Hospital of Marseille, 264 Rue Saint-Pierre, Marseille, 13385, France
- C2VN, INSERM, INRAE, Aix-Marseille University, 27, bd Jean Moulin, Marseille, 13385, France
| | - Stephen S. Rich
- Center for Public Health Genomics, University of Virginia, 3242 West Complex, Charlottesville, VA, 22908-0717, USA
| | - Ha My T. Vy
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, 1 Gustave L. Levy Pl, New York, NY, 10029, USA
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, 1 Gu stave L. Levy Pl, New York, NY, 10029, USA
| | - Weihong Tang
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, 1300 South Second Street, Minneapolis, MN, 55454, USA
| | - Rebecca D. Jackson
- College of Medicine, Ohio State University, 376 W. 10th Ave, Columbus, OH, 43210, USA
| | - John-Bjarne Hansen
- Thrombosis Research Center (TREC), UiT - The Arctic University of Norway, Universitetsvegen 57, Tromsø, 9037, Norway
- Division of internal medicine, University Hospital of North Norway, Tromsø, 9038, Norway
| | - Pierre-Emmanuel Morange
- Hematology Laboratory, La Timone University Hospital of Marseille, 264 Rue Saint-Pierre, Marseille, 13385, France
- C2VN, INSERM, INRAE, Aix-Marseille University, 27, bd Jean Moulin, Marseille, 13385, France
| | - Christopher Kabrhel
- Emergency Medicine, Massachusetts General Hospital, Zero Emerson Place, Suite 3B, Boston, MA, 02114, USA
- Emergency Medicine, Harvard Medical School, Zero Emerson Place, Suite 3B, Boston, MA, 02114, USA
| | - David-Alexandre Trégouët
- Bordeaux Population Health Research Center, University of Bordeaux, 146 rue Léo Saignat, Bordeaux, 33076, France
- UMR1219, INSERM, 146 rue Léo Saignat, Bordeaux, 33076, France
- Laboratory of Excellence on Medical Genomics, GenMed, France
| | - Scott M. Damrauer
- Corporal Michael J. Crescenz Philadelphia VA Medical Center, 3900 Woodland Ave, Philadelphia, PA, 19104, USA
- Department of Surgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
- Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Andrew D. Johnson
- Population Sciences Branch, Division of Intramural Research, National Heart, Lung and Blood Institute, 73 Mt. Wayte Ave, Suite #2, Framingham, MA, 01702, USA
- The Framingham Heart Study, Boston University and NHLBI, 73 Mt. Wayte Ave, Suite #2, Framingham, MA, 01702, USA
| | - Nicholas L. Smith
- Department of Epidemiology, University of Washington, 1730 Minor Ave, Suite 1360, Seattle, WA, 98101, USA
- Kaiser Permanente Washington Health Research Institute, Kaiser Permanente Washington, Seattle, WA, 98101, USA
- Seattle Epidemiologic Research and Information Center, Department of Veterans Affairs Office of Research and Development, Seattle, WA, 98108, USA
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Genetic Association Study and Machine Learning to Investigate Differences in Platelet Reactivity in Patients with Acute Ischemic Stroke Treated with Aspirin. Biomedicines 2022; 10:biomedicines10102564. [PMID: 36289824 PMCID: PMC9599820 DOI: 10.3390/biomedicines10102564] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2022] [Revised: 10/04/2022] [Accepted: 10/08/2022] [Indexed: 11/17/2022] Open
Abstract
Aspirin resistance (AR) is a pressing problem in current ischemic stroke care. Although the role of genetic variations is widely considered, the data still remain controversial. Our aim was to investigate the contribution of genetic features to laboratory AR measured through platelet aggregation with arachidonic acid (AA) and adenosine diphosphate (ADP) in ischemic stroke patients. A total of 461 patients were enrolled. Platelet aggregation was measured via light transmission aggregometry. Eighteen single-nucleotide polymorphisms (SNPs) in ITGB3, GPIBA, TBXA2R, ITGA2, PLA2G7, HMOX1, PTGS1, PTGS2, ADRA2A, ABCB1 and PEAR1 genes and the intergenic 9p21.3 region were determined using low-density biochips. We found an association of rs1330344 in the PTGS1 gene with AR and AA-induced platelet aggregation. Rs4311994 in ADRA2A gene also affected AA-induced aggregation, and rs4523 in the TBXA2R gene and rs12041331 in the PEAR1 gene influenced ADP-induced aggregation. Furthermore, the effect of rs1062535 in the ITGA2 gene on NIHSS dynamics during 10 days of treatment was found. The best machine learning (ML) model for AR based on clinical and genetic factors was characterized by AUC = 0.665 and F1-score = 0.628. In conclusion, the association study showed that PTGS1, ADRA2A, TBXA2R and PEAR1 polymorphisms may affect laboratory AR. However, the ML model demonstrated the predominant influence of clinical features.
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Cofer LB, Barrett TJ, Berger JS. Aspirin for the Primary Prevention of Cardiovascular Disease: Time for a Platelet-Guided Approach. Arterioscler Thromb Vasc Biol 2022; 42:1207-1216. [PMID: 36047408 PMCID: PMC9484763 DOI: 10.1161/atvbaha.122.318020] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2022] [Accepted: 08/10/2022] [Indexed: 11/17/2022]
Abstract
Aspirin protects against atherothrombosis while increasing the risk of major bleeding. Although it is widely used to prevent cardiovascular disease (CVD), its benefit does not outweigh its risk for primary CVD prevention in large population settings. The recent United States Preventive Services Task Force guidelines on aspirin use to prevent CVD reflect this clinical tradeoff as well as the persistent struggle to define a population that would benefit from prophylactic aspirin therapy. Past clinical trials of primary CVD prevention with aspirin have not included consideration of a biomarker relevant to aspirin's mechanism of action, platelet inhibition. This approach is at odds with the paradigm used in other key areas of pharmacological CVD prevention, including antihypertensive and statin therapy, which combine cardiovascular risk assessment with the measurement of mechanistic biomarkers (eg, blood pressure and LDL [low-density lipoprotein]-cholesterol). Reliable methods for quantifying platelet activity, including light transmission aggregometry and platelet transcriptomics, exist and should be considered to identify individuals at elevated cardiovascular risk due to a hyperreactive platelet phenotype. Therefore, we propose a new, platelet-guided approach to the study of prophylactic aspirin therapy. We think that this new approach will reveal a population with hyperreactive platelets who will benefit most from primary CVD prevention with aspirin and usher in a new era of precision-guided antiplatelet therapy.
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Ianiri G, LeibundGut-Landmann S, Dawson TL. Malassezia: A Commensal, Pathogen, and Mutualist of Human and Animal Skin. Annu Rev Microbiol 2022; 76:757-782. [PMID: 36075093 DOI: 10.1146/annurev-micro-040820-010114] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
Identified in the late nineteenth century as a single species residing on human skin, Malassezia is now recognized as a diverse genus comprising 18 species inhabiting not only skin but human gut, hospital environments, and even deep-sea sponges. All cultivated Malassezia species are lipid dependent, having lost genes for lipid synthesis and carbohydrate metabolism. The surging interest in Malassezia results from development of tools to improve sampling, culture, identification, and genetic engineering, which has led to findings implicating it in numerous skin diseases, Crohn disease, and pancreatic cancer. However, it has become clear that Malassezia plays a multifaceted role in human health, with mutualistic activity in atopic dermatitis and a preventive effect against other skin infections due to its potential to compete with skin pathogens such as Candida auris. Improved understanding of complex microbe-microbe and host-microbe interactions will be required to define Malassezia's role in human and animal health and disease so as to design targeted interventions.
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Affiliation(s)
- Giuseppe Ianiri
- Department of Agricultural, Environmental, and Food Sciences, University of Molise, Campobasso, Italy
| | - Salomé LeibundGut-Landmann
- Section of Immunology, Faculty of Vetsuisse, and Institute of Experimental Immunology, University of Zürich, Zürich, Switzerland
| | - Thomas L Dawson
- Skin Research Institute of Singapore, Agency for Science, Technology and Research (A*STAR), Singapore; .,Department of Drug Discovery, College of Pharmacy, Medical University of South Carolina, Charleston, South Carolina, USA
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27
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Bottomly D, Long N, Schultz AR, Kurtz SE, Tognon CE, Johnson K, Abel M, Agarwal A, Avaylon S, Benton E, Blucher A, Borate U, Braun TP, Brown J, Bryant J, Burke R, Carlos A, Chang BH, Cho HJ, Christy S, Coblentz C, Cohen AM, d'Almeida A, Cook R, Danilov A, Dao KHT, Degnin M, Dibb J, Eide CA, English I, Hagler S, Harrelson H, Henson R, Ho H, Joshi SK, Junio B, Kaempf A, Kosaka Y, Laderas T, Lawhead M, Lee H, Leonard JT, Lin C, Lind EF, Liu SQ, Lo P, Loriaux MM, Luty S, Maxson JE, Macey T, Martinez J, Minnier J, Monteblanco A, Mori M, Morrow Q, Nelson D, Ramsdill J, Rofelty A, Rogers A, Romine KA, Ryabinin P, Saultz JN, Sampson DA, Savage SL, Schuff R, Searles R, Smith RL, Spurgeon SE, Sweeney T, Swords RT, Thapa A, Thiel-Klare K, Traer E, Wagner J, Wilmot B, Wolf J, Wu G, Yates A, Zhang H, Cogle CR, Collins RH, Deininger MW, Hourigan CS, Jordan CT, Lin TL, Martinez ME, Pallapati RR, Pollyea DA, Pomicter AD, Watts JM, Weir SJ, Druker BJ, McWeeney SK, Tyner JW. Integrative analysis of drug response and clinical outcome in acute myeloid leukemia. Cancer Cell 2022; 40:850-864.e9. [PMID: 35868306 PMCID: PMC9378589 DOI: 10.1016/j.ccell.2022.07.002] [Citation(s) in RCA: 97] [Impact Index Per Article: 48.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/01/2022] [Revised: 05/30/2022] [Accepted: 06/30/2022] [Indexed: 12/17/2022]
Abstract
Acute myeloid leukemia (AML) is a cancer of myeloid-lineage cells with limited therapeutic options. We previously combined ex vivo drug sensitivity with genomic, transcriptomic, and clinical annotations for a large cohort of AML patients, which facilitated discovery of functional genomic correlates. Here, we present a dataset that has been harmonized with our initial report to yield a cumulative cohort of 805 patients (942 specimens). We show strong cross-cohort concordance and identify features of drug response. Further, deconvoluting transcriptomic data shows that drug sensitivity is governed broadly by AML cell differentiation state, sometimes conditionally affecting other correlates of response. Finally, modeling of clinical outcome reveals a single gene, PEAR1, to be among the strongest predictors of patient survival, especially for young patients. Collectively, this report expands a large functional genomic resource, offers avenues for mechanistic exploration and drug development, and reveals tools for predicting outcome in AML.
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Affiliation(s)
- Daniel Bottomly
- Division of Bioinformatics and Computational Biology, Department of Medical Informatics and Clinical Epidemiology, Oregon Health & Science University, Portland, OR 97239, USA; Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA
| | - Nicola Long
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA; Division of Hematology & Medical Oncology, Department of Medicine, Oregon Health & Science University, Portland, OR 97239, USA
| | - Anna Reister Schultz
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA; Department of Cell, Developmental & Cancer Biology, Oregon Health & Science University, Portland, OR 97239, USA
| | - Stephen E Kurtz
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA; Division of Hematology & Medical Oncology, Department of Medicine, Oregon Health & Science University, Portland, OR 97239, USA
| | - Cristina E Tognon
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA; Division of Hematology & Medical Oncology, Department of Medicine, Oregon Health & Science University, Portland, OR 97239, USA
| | - Kara Johnson
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA; Division of Hematology & Medical Oncology, Department of Medicine, Oregon Health & Science University, Portland, OR 97239, USA
| | - Melissa Abel
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA; Department of Cell, Developmental & Cancer Biology, Oregon Health & Science University, Portland, OR 97239, USA
| | - Anupriya Agarwal
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA; Department of Cell, Developmental & Cancer Biology, Oregon Health & Science University, Portland, OR 97239, USA; Department of Molecular & Medical Genetics, Oregon Health & Science University, Portland, OR 97239, USA; Division of Oncologic Sciences, Department of Medicine, Oregon Health & Science University, Portland, OR 97239, USA
| | - Sammantha Avaylon
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA; Division of Hematology & Medical Oncology, Department of Medicine, Oregon Health & Science University, Portland, OR 97239, USA
| | - Erik Benton
- Division of Bioinformatics and Computational Biology, Department of Medical Informatics and Clinical Epidemiology, Oregon Health & Science University, Portland, OR 97239, USA; Oregon Clinical and Translational Research Institute, Oregon Health & Science University, Portland, OR 97239, USA
| | - Aurora Blucher
- Division of Bioinformatics and Computational Biology, Department of Medical Informatics and Clinical Epidemiology, Oregon Health & Science University, Portland, OR 97239, USA; Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA
| | - Uma Borate
- Division of Hematology, Department of Internal Medicine, James Cancer Center, Ohio State University, Columbus, OH 43210, USA
| | - Theodore P Braun
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA; Division of Hematology & Medical Oncology, Department of Medicine, Oregon Health & Science University, Portland, OR 97239, USA
| | - Jordana Brown
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA; Department of Cell, Developmental & Cancer Biology, Oregon Health & Science University, Portland, OR 97239, USA
| | - Jade Bryant
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA; Department of Cell, Developmental & Cancer Biology, Oregon Health & Science University, Portland, OR 97239, USA
| | - Russell Burke
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA; Division of Hematology & Medical Oncology, Department of Medicine, Oregon Health & Science University, Portland, OR 97239, USA
| | - Amy Carlos
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA; Integrated Genomics Laboratory, Oregon Health & Science University, Portland, OR 97239, USA
| | - Bill H Chang
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA; Division of Hematology and Oncology, Department of Pediatrics, Oregon Health & Science University, Portland, OR 97239, USA
| | - Hyun Jun Cho
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA; Department of Molecular Microbiology and Immunology, Oregon Health & Science University, Portland, OR 97239, USA
| | - Stephen Christy
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA; Division of Hematology & Medical Oncology, Department of Medicine, Oregon Health & Science University, Portland, OR 97239, USA
| | - Cody Coblentz
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA; Division of Hematology & Medical Oncology, Department of Medicine, Oregon Health & Science University, Portland, OR 97239, USA
| | - Aaron M Cohen
- Division of Bioinformatics and Computational Biology, Department of Medical Informatics and Clinical Epidemiology, Oregon Health & Science University, Portland, OR 97239, USA; Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA; Oregon Clinical and Translational Research Institute, Oregon Health & Science University, Portland, OR 97239, USA
| | - Amanda d'Almeida
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA; Department of Cell, Developmental & Cancer Biology, Oregon Health & Science University, Portland, OR 97239, USA
| | - Rachel Cook
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA; Division of Hematology & Medical Oncology, Department of Medicine, Oregon Health & Science University, Portland, OR 97239, USA
| | - Alexey Danilov
- Department of Hematology and Hematopoietic Stem Cell Transplant, City of Hope National Medical Center, Duarte, CA 91010, USA
| | | | - Michie Degnin
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA; Division of Hematology & Medical Oncology, Department of Medicine, Oregon Health & Science University, Portland, OR 97239, USA
| | - James Dibb
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA; Division of Hematology & Medical Oncology, Department of Medicine, Oregon Health & Science University, Portland, OR 97239, USA
| | - Christopher A Eide
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA; Division of Hematology & Medical Oncology, Department of Medicine, Oregon Health & Science University, Portland, OR 97239, USA
| | - Isabel English
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA; Division of Hematology & Medical Oncology, Department of Medicine, Oregon Health & Science University, Portland, OR 97239, USA
| | - Stuart Hagler
- Division of Bioinformatics and Computational Biology, Department of Medical Informatics and Clinical Epidemiology, Oregon Health & Science University, Portland, OR 97239, USA; Oregon Clinical and Translational Research Institute, Oregon Health & Science University, Portland, OR 97239, USA
| | - Heath Harrelson
- Division of Bioinformatics and Computational Biology, Department of Medical Informatics and Clinical Epidemiology, Oregon Health & Science University, Portland, OR 97239, USA; Oregon Clinical and Translational Research Institute, Oregon Health & Science University, Portland, OR 97239, USA
| | - Rachel Henson
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA; Integrated Genomics Laboratory, Oregon Health & Science University, Portland, OR 97239, USA
| | - Hibery Ho
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA; Division of Hematology & Medical Oncology, Department of Medicine, Oregon Health & Science University, Portland, OR 97239, USA
| | - Sunil K Joshi
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA; Division of Hematology & Medical Oncology, Department of Medicine, Oregon Health & Science University, Portland, OR 97239, USA
| | - Brian Junio
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA; Division of Hematology & Medical Oncology, Department of Medicine, Oregon Health & Science University, Portland, OR 97239, USA
| | - Andy Kaempf
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA; Biostatistics Shared Resource, Oregon Health & Science University, Portland, OR 97239, USA
| | - Yoko Kosaka
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA; Department of Molecular Microbiology and Immunology, Oregon Health & Science University, Portland, OR 97239, USA
| | | | - Matt Lawhead
- Division of Bioinformatics and Computational Biology, Department of Medical Informatics and Clinical Epidemiology, Oregon Health & Science University, Portland, OR 97239, USA; Oregon Clinical and Translational Research Institute, Oregon Health & Science University, Portland, OR 97239, USA
| | - Hyunjung Lee
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA; Department of Cell, Developmental & Cancer Biology, Oregon Health & Science University, Portland, OR 97239, USA
| | - Jessica T Leonard
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA; Division of Hematology & Medical Oncology, Department of Medicine, Oregon Health & Science University, Portland, OR 97239, USA
| | - Chenwei Lin
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA; Integrated Genomics Laboratory, Oregon Health & Science University, Portland, OR 97239, USA
| | - Evan F Lind
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA; Department of Molecular Microbiology and Immunology, Oregon Health & Science University, Portland, OR 97239, USA
| | - Selina Qiuying Liu
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA; Division of Hematology & Medical Oncology, Department of Medicine, Oregon Health & Science University, Portland, OR 97239, USA
| | - Pierrette Lo
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA; Division of Hematology & Medical Oncology, Department of Medicine, Oregon Health & Science University, Portland, OR 97239, USA
| | - Marc M Loriaux
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA; Department of Pathology, Oregon Health & Science University, Portland, OR 97239, USA
| | - Samuel Luty
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA; Division of Hematology & Medical Oncology, Department of Medicine, Oregon Health & Science University, Portland, OR 97239, USA
| | - Julia E Maxson
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA; Division of Oncologic Sciences, Department of Medicine, Oregon Health & Science University, Portland, OR 97239, USA
| | - Tara Macey
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA; Division of Hematology & Medical Oncology, Department of Medicine, Oregon Health & Science University, Portland, OR 97239, USA
| | - Jacqueline Martinez
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA; Division of Hematology & Medical Oncology, Department of Medicine, Oregon Health & Science University, Portland, OR 97239, USA
| | - Jessica Minnier
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA; Biostatistics Shared Resource, Oregon Health & Science University, Portland, OR 97239, USA; OHSU-PSU School of Public Health, VA Portland Health Care System, Oregon Health & Science University, Portland, OR 97239, USA
| | - Andrea Monteblanco
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA; Division of Hematology & Medical Oncology, Department of Medicine, Oregon Health & Science University, Portland, OR 97239, USA
| | - Motomi Mori
- Department of Biostatistics, St. Jude Children's Research Hospital, Memphis, TN 38105, USA
| | - Quinlan Morrow
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA; Department of Cell, Developmental & Cancer Biology, Oregon Health & Science University, Portland, OR 97239, USA
| | - Dylan Nelson
- High-Throughput Screening Services Laboratory, Oregon State University, Corvallis, OR 97331, USA
| | - Justin Ramsdill
- Division of Bioinformatics and Computational Biology, Department of Medical Informatics and Clinical Epidemiology, Oregon Health & Science University, Portland, OR 97239, USA; Oregon Clinical and Translational Research Institute, Oregon Health & Science University, Portland, OR 97239, USA
| | - Angela Rofelty
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA; Department of Cell, Developmental & Cancer Biology, Oregon Health & Science University, Portland, OR 97239, USA
| | - Alexandra Rogers
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA; Division of Hematology & Medical Oncology, Department of Medicine, Oregon Health & Science University, Portland, OR 97239, USA
| | - Kyle A Romine
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA; Department of Cell, Developmental & Cancer Biology, Oregon Health & Science University, Portland, OR 97239, USA
| | - Peter Ryabinin
- Division of Bioinformatics and Computational Biology, Department of Medical Informatics and Clinical Epidemiology, Oregon Health & Science University, Portland, OR 97239, USA; Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA
| | - Jennifer N Saultz
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA; Division of Hematology & Medical Oncology, Department of Medicine, Oregon Health & Science University, Portland, OR 97239, USA
| | - David A Sampson
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA; Division of Hematology & Medical Oncology, Department of Medicine, Oregon Health & Science University, Portland, OR 97239, USA
| | - Samantha L Savage
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA; Division of Hematology & Medical Oncology, Department of Medicine, Oregon Health & Science University, Portland, OR 97239, USA
| | | | - Robert Searles
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA; Integrated Genomics Laboratory, Oregon Health & Science University, Portland, OR 97239, USA
| | - Rebecca L Smith
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA; Division of Hematology & Medical Oncology, Department of Medicine, Oregon Health & Science University, Portland, OR 97239, USA
| | - Stephen E Spurgeon
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA; Division of Hematology & Medical Oncology, Department of Medicine, Oregon Health & Science University, Portland, OR 97239, USA
| | - Tyler Sweeney
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA; Division of Hematology & Medical Oncology, Department of Medicine, Oregon Health & Science University, Portland, OR 97239, USA
| | - Ronan T Swords
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA; Division of Hematology & Medical Oncology, Department of Medicine, Oregon Health & Science University, Portland, OR 97239, USA
| | - Aashis Thapa
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA; Division of Hematology & Medical Oncology, Department of Medicine, Oregon Health & Science University, Portland, OR 97239, USA
| | - Karina Thiel-Klare
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA; Division of Hematology & Medical Oncology, Department of Medicine, Oregon Health & Science University, Portland, OR 97239, USA
| | - Elie Traer
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA; Division of Hematology & Medical Oncology, Department of Medicine, Oregon Health & Science University, Portland, OR 97239, USA
| | - Jake Wagner
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA; Division of Hematology & Medical Oncology, Department of Medicine, Oregon Health & Science University, Portland, OR 97239, USA
| | - Beth Wilmot
- Division of Bioinformatics and Computational Biology, Department of Medical Informatics and Clinical Epidemiology, Oregon Health & Science University, Portland, OR 97239, USA; Oregon Clinical and Translational Research Institute, Oregon Health & Science University, Portland, OR 97239, USA
| | - Joelle Wolf
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA; Division of Hematology & Medical Oncology, Department of Medicine, Oregon Health & Science University, Portland, OR 97239, USA
| | - Guanming Wu
- Division of Bioinformatics and Computational Biology, Department of Medical Informatics and Clinical Epidemiology, Oregon Health & Science University, Portland, OR 97239, USA; Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA; Oregon Clinical and Translational Research Institute, Oregon Health & Science University, Portland, OR 97239, USA
| | - Amy Yates
- Division of Bioinformatics and Computational Biology, Department of Medical Informatics and Clinical Epidemiology, Oregon Health & Science University, Portland, OR 97239, USA; Oregon Clinical and Translational Research Institute, Oregon Health & Science University, Portland, OR 97239, USA
| | - Haijiao Zhang
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA; Division of Oncologic Sciences, Department of Medicine, Oregon Health & Science University, Portland, OR 97239, USA
| | - Christopher R Cogle
- Department of Medicine, Division of Hematology and Oncology, University of Florida, Gainesville, FL 32610, USA
| | - Robert H Collins
- Department of Internal Medicine/ Hematology Oncology, University of Texas Southwestern Medical Center, Dallas, TX 75390-8565, USA
| | - Michael W Deininger
- Division of Hematology & Hematologic Malignancies, Department of Internal Medicine, University of Utah, Salt Lake City, UT 84112, USA; Huntsman Cancer Institute, University of Utah, Salt Lake City, UT 84112, USA
| | - Christopher S Hourigan
- National Heart, Lung and Blood Institute, National Institutes of Health, Bethesda, MD 20814-1476, USA
| | - Craig T Jordan
- Division of Hematology, University of Colorado, Denver, CO 80045, USA
| | - Tara L Lin
- Division of Hematologic Malignancies & Cellular Therapeutics, University of Kansas, Kansas City, KS 66205, USA
| | - Micaela E Martinez
- Clinical Research Services, University of Miami Sylvester Comprehensive Cancer Center, Miami, FL 33136, USA
| | - Rachel R Pallapati
- Clinical Research Services, University of Miami Sylvester Comprehensive Cancer Center, Miami, FL 33136, USA
| | - Daniel A Pollyea
- Division of Hematology, University of Colorado, Denver, CO 80045, USA
| | - Anthony D Pomicter
- Huntsman Cancer Institute, University of Utah, Salt Lake City, UT 84112, USA
| | - Justin M Watts
- Division of Hematology, Department of Medicine, University of Miami Sylvester Comprehensive Cancer Center, Miami, FL 33136, USA
| | - Scott J Weir
- Department of Cancer Biology, Division of Medical Oncology, Department of Medicine, University of Kansas Medical Center, Kansas City, KS 66160, USA
| | - Brian J Druker
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA; Division of Hematology & Medical Oncology, Department of Medicine, Oregon Health & Science University, Portland, OR 97239, USA.
| | - Shannon K McWeeney
- Division of Bioinformatics and Computational Biology, Department of Medical Informatics and Clinical Epidemiology, Oregon Health & Science University, Portland, OR 97239, USA; Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA; Oregon Clinical and Translational Research Institute, Oregon Health & Science University, Portland, OR 97239, USA.
| | - Jeffrey W Tyner
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA; Department of Cell, Developmental & Cancer Biology, Oregon Health & Science University, Portland, OR 97239, USA.
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Zhang C, Qin F, Li X, Du X, Li T. Identification of novel proteins for lacunar stroke by integrating genome-wide association data and human brain proteomes. BMC Med 2022; 20:211. [PMID: 35733147 PMCID: PMC9219149 DOI: 10.1186/s12916-022-02408-y] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/08/2022] [Accepted: 05/17/2022] [Indexed: 02/08/2023] Open
Abstract
BACKGROUND Previous genome-wide association studies (GWAS) have identified numerous risk genes for lacunar stroke, but it is challenging to decipher how they confer risk for the disease. We employed an integrative analytical pipeline to efficiently transform genetic associations to identify novel proteins for lacunar stroke. METHODS We systematically integrated lacunar stroke genome-wide association study (GWAS) (N=7338) with human brain proteomes (N=376) to perform proteome-wide association studies (PWAS), Mendelian randomization (MR), and Bayesian colocalization. We also used an independent human brain proteomic dataset (N=152) to annotate the new genes. RESULTS We found that the protein abundance of seven genes (ICA1L, CAND2, ALDH2, MADD, MRVI1, CSPG4, and PTPN11) in the brain was associated with lacunar stroke. These seven genes were mainly expressed on the surface of glutamatergic neurons, GABAergic neurons, and astrocytes. Three genes (ICA1L, CAND2, ALDH2) were causal in lacunar stroke (P < 0.05/proteins identified for PWAS; posterior probability of hypothesis 4 ≥ 75 % for Bayesian colocalization), and they were linked with lacunar stroke in confirmatory PWAS and independent MR. We also found that ICA1L is related to lacunar stroke at the brain transcriptome level. CONCLUSIONS Our present proteomic findings have identified ICA1L, CAND2, and ALDH2 as compelling genes that may give key hints for future functional research and possible therapeutic targets for lacunar stroke.
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Affiliation(s)
- Chengcheng Zhang
- Mental Health Center and Psychiatric Laboratory, the State Key Laboratory of Biotherapy, West China Hospital of Sichuan University, Chengdu, Sichuan, China
| | - Fengqin Qin
- Department of Neurology, the 3rd Affiliated Hospital of Chengdu Medical College, Chengdu, Sichuan, China
| | - Xiaojing Li
- Mental Health Center and Psychiatric Laboratory, the State Key Laboratory of Biotherapy, West China Hospital of Sichuan University, Chengdu, Sichuan, China
| | - Xiangdong Du
- Suzhou Psychiatric Hospital, The Affiliated Guangji Hospital of Soochow University, Suzhou, Jiangsu, China
| | - Tao Li
- Department of Neurobiology, Affiliated Mental Health Center & Hangzhou Seventh People's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China. .,NHC and CAMS Key Laboratory of Medical Neurobiology, MOE Frontier Science Center for Brain Science and Brain-machine Integration, School of Brain Science and Brain Medicine, Zhejiang University, Zhejiang, Hangzhou, China.
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29
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Downes K, Zhao X, Gleadall NS, McKinney H, Kempster C, Batista J, Thomas PL, Cooper M, Michael JV, Kreuzhuber R, Wedderburn K, Waller K, Varney B, Verdier H, Kriek N, Ashford SE, Stirrups KE, Dunster JL, McKenzie SE, Ouwehand WH, Gibbins JM, Yang J, Astle WJ, Ma P. G protein-coupled receptor kinase 5 regulates thrombin signaling in platelets via PAR-1. Blood Adv 2022; 6:2319-2330. [PMID: 34581777 PMCID: PMC9006276 DOI: 10.1182/bloodadvances.2021005453] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2021] [Accepted: 07/12/2021] [Indexed: 11/22/2022] Open
Abstract
The interindividual variation in the functional response of platelets to activation by agonists is heritable. Genome-wide association studies (GWASs) of quantitative measures of platelet function have identified fewer than 20 distinctly associated variants, some with unknown mechanisms. Here, we report GWASs of pathway-specific functional responses to agonism by adenosine 5'-diphosphate, a glycoprotein VI-specific collagen mimetic, and thrombin receptor-agonist peptides, each specific to 1 of the G protein-coupled receptors PAR-1 and PAR-4, in subsets of 1562 individuals. We identified an association (P = 2.75 × 10-40) between a common intronic variant, rs10886430, in the G protein-coupled receptor kinase 5 gene (GRK5) and the sensitivity of platelets to activate through PAR-1. The variant resides in a megakaryocyte-specific enhancer that is bound by the transcription factors GATA1 and MEIS1. The minor allele (G) is associated with fewer GRK5 transcripts in platelets and the greater sensitivity of platelets to activate through PAR-1. We show that thrombin-mediated activation of human platelets causes binding of GRK5 to PAR-1 and that deletion of the mouse homolog Grk5 enhances thrombin-induced platelet activation sensitivity and increases platelet accumulation at the site of vascular injury. This corroborates evidence that the human G allele of rs10886430 is associated with a greater risk for cardiovascular disease. In summary, by combining the results of pathway-specific GWASs and expression quantitative trait locus studies in humans with the results from platelet function studies in Grk5-/- mice, we obtain evidence that GRK5 regulates the human platelet response to thrombin via the PAR-1 pathway.
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Affiliation(s)
- Kate Downes
- Department of Haematology, University of Cambridge, Cambridge Biomedical Campus, Cambridge, United Kingdom
- National Health Service Blood and Transplant, Cambridge Biomedical Campus, Cambridge, United Kingdom
- East Genomic Laboratory Hub, Cambridge University Hospitals National Health Service Foundation Trust, Cambridge Biomedical Campus, Cambridge, United Kingdom
| | - Xuefei Zhao
- Cardeza Foundation for Hematologic Research, Department of Medicine, Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, PA
- Cyrus Tang Hematology Center, Soochow University, Suzhou, China
| | - Nicholas S. Gleadall
- Department of Haematology, University of Cambridge, Cambridge Biomedical Campus, Cambridge, United Kingdom
- National Health Service Blood and Transplant, Cambridge Biomedical Campus, Cambridge, United Kingdom
| | - Harriet McKinney
- Department of Haematology, University of Cambridge, Cambridge Biomedical Campus, Cambridge, United Kingdom
- National Health Service Blood and Transplant, Cambridge Biomedical Campus, Cambridge, United Kingdom
| | - Carly Kempster
- Department of Haematology, University of Cambridge, Cambridge Biomedical Campus, Cambridge, United Kingdom
- National Health Service Blood and Transplant, Cambridge Biomedical Campus, Cambridge, United Kingdom
| | - Joana Batista
- Department of Haematology, University of Cambridge, Cambridge Biomedical Campus, Cambridge, United Kingdom
- National Health Service Blood and Transplant, Cambridge Biomedical Campus, Cambridge, United Kingdom
| | - Patrick L. Thomas
- Department of Haematology, University of Cambridge, Cambridge Biomedical Campus, Cambridge, United Kingdom
- National Health Service Blood and Transplant, Cambridge Biomedical Campus, Cambridge, United Kingdom
| | - Matthew Cooper
- Cardeza Foundation for Hematologic Research, Department of Medicine, Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, PA
| | - James V. Michael
- Cardeza Foundation for Hematologic Research, Department of Medicine, Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, PA
| | - Roman Kreuzhuber
- Department of Haematology, University of Cambridge, Cambridge Biomedical Campus, Cambridge, United Kingdom
- European Molecular Biology Laboratory European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge, United Kingdom
| | - Katherine Wedderburn
- Department of Haematology, University of Cambridge, Cambridge Biomedical Campus, Cambridge, United Kingdom
- National Health Service Blood and Transplant, Cambridge Biomedical Campus, Cambridge, United Kingdom
| | - Kathryn Waller
- Department of Haematology, University of Cambridge, Cambridge Biomedical Campus, Cambridge, United Kingdom
- National Health Service Blood and Transplant, Cambridge Biomedical Campus, Cambridge, United Kingdom
| | - Bianca Varney
- Department of Haematology, University of Cambridge, Cambridge Biomedical Campus, Cambridge, United Kingdom
- National Health Service Blood and Transplant, Cambridge Biomedical Campus, Cambridge, United Kingdom
| | - Hippolyte Verdier
- Department of Haematology, University of Cambridge, Cambridge Biomedical Campus, Cambridge, United Kingdom
| | - Neline Kriek
- School of Biological Sciences, University of Reading, Reading, Berkshire, United Kingdom
| | - Sofie E. Ashford
- Department of Haematology, University of Cambridge, Cambridge Biomedical Campus, Cambridge, United Kingdom
- National Institute for Health Research BioResource, Cambridge University Hospitals National Health Service Foundation Trust, Cambridge Biomedical Campus, Cambridge, United Kingdom
| | - Kathleen E. Stirrups
- Department of Haematology, University of Cambridge, Cambridge Biomedical Campus, Cambridge, United Kingdom
- National Institute for Health Research BioResource, Cambridge University Hospitals National Health Service Foundation Trust, Cambridge Biomedical Campus, Cambridge, United Kingdom
| | - Joanne L. Dunster
- School of Biological Sciences, University of Reading, Reading, Berkshire, United Kingdom
| | - Steven E. McKenzie
- Cardeza Foundation for Hematologic Research, Department of Medicine, Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, PA
| | - Willem H. Ouwehand
- Department of Haematology, University of Cambridge, Cambridge Biomedical Campus, Cambridge, United Kingdom
- National Health Service Blood and Transplant, Cambridge Biomedical Campus, Cambridge, United Kingdom
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, United Kingdom
| | - Jonathan M. Gibbins
- School of Biological Sciences, University of Reading, Reading, Berkshire, United Kingdom
| | - Jing Yang
- Bristol Myers Squibb, Princeton, NJ; and
| | - William J. Astle
- National Health Service Blood and Transplant, Cambridge Biomedical Campus, Cambridge, United Kingdom
- Medical Research Council Biostatistics Unit, University of Cambridge, Cambridge Biomedical Campus, Cambridge, United Kingdom
| | - Peisong Ma
- Cardeza Foundation for Hematologic Research, Department of Medicine, Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, PA
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30
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Yang WY, Izzi B, Bress AP, Thijs L, Citterio L, Wei FF, Salvi E, Delli Carpini S, Manunta P, Cusi D, Hoylaerts MF, Luttun A, Verhamme P, Hardikar S, Nawrot TS, Staessen JA, Zhang ZY. Association of colorectal cancer with genetic and epigenetic variation in PEAR1—A population-based cohort study. PLoS One 2022; 17:e0266481. [PMID: 35390065 PMCID: PMC8989234 DOI: 10.1371/journal.pone.0266481] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2021] [Accepted: 03/22/2022] [Indexed: 11/19/2022] Open
Abstract
Platelet Endothelial Aggregation Receptor 1 (PEAR1) modulates angiogenesis and platelet contact-induced activation, which play a role in the pathogenesis of colorectal cancer. We therefore tested the association of incident colorectal cancer and genetic and epigenetic variability in PEAR1 among 2532 randomly recruited participants enrolled in the family-based Flemish Study on Environment, Genes and Health Outcomes (51.2% women; mean age 44.8 years). All underwent genotyping of rs12566888 located in intron 1 of the PEAR1 gene; in 926 participants, methylation at 16 CpG sites in the PEAR1 promoter was also assessed. Over 18.1 years (median), 49 colorectal cancers occurred, all in different pedigrees. While accounting for clustering of risk factors within families and adjusting for sex, age, body mass index, the total-to-HDL cholesterol ratio, serum creatinine, plasma glucose, smoking and drinking, use of antiplatelet and nonsteroidal anti-inflammatory drug, the hazard ratio of colorectal cancer contrasting minor-allele (T) carriers vs. major-allele (GG) homozygotes was 2.17 (95% confidence interval, 1.18–3.99; P = 0.013). Bootstrapped analyses, from which we randomly excluded from two to nine cancer cases, provided confirmatory results. In participants with methylation data, we applied partial least square discriminant analysis (PLS-DA) and identified two methylation sites associated with higher colorectal cancer risk and two with lower risk. In-silico analysis suggested that methylation of the PEAR1 promoter at these four sites might affect binding of transcription factors p53, PAX5, and E2F-1, thereby modulating gene expression. In conclusion, our findings suggest that genetic and epigenetic variation in PEAR1 modulates the risk of colorectal cancer in white Flemish. To what extent, environmental factors as exemplified by our methylation data, interact with genetic predisposition and modulate penetrance of colorectal cancer risk is unknown.
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Affiliation(s)
- Wen-Yi Yang
- Department of Cardiology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Research Unit Hypertension and Cardiovascular Epidemiology, KU Leuven Department of Cardiovascular Sciences, University of Leuven, Leuven, Belgium
| | - Benedetta Izzi
- Department of Epidemiology and Prevention, IRCCS NEUROMED, Pozzilli, Italy
| | - Adam P Bress
- Department of Population Health Sciences, University of Utah, Salt Lake City, Utah, United States of America
| | - Lutgarde Thijs
- Research Unit Hypertension and Cardiovascular Epidemiology, KU Leuven Department of Cardiovascular Sciences, University of Leuven, Leuven, Belgium
| | - Lorena Citterio
- Division of Nephrology and Dialysis, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Fang-Fei Wei
- Research Unit Hypertension and Cardiovascular Epidemiology, KU Leuven Department of Cardiovascular Sciences, University of Leuven, Leuven, Belgium
- Department of Cardiology, the First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, Guangdong, China
| | - Erika Salvi
- Department of Health Sciences, University of Milan, Milan, Italy
| | - Simona Delli Carpini
- Division of Nephrology and Dialysis, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Paolo Manunta
- School of Nephrology, University Vita-Salute San Raffaele, Milan, Italy
| | | | | | - Aernout Luttun
- Center for Molecular and Vascular Biology, KU Leuven Department of Cardiovascular Sciences, University of Leuven, Leuven, Belgium
| | - Peter Verhamme
- Center for Molecular and Vascular Biology, KU Leuven Department of Cardiovascular Sciences, University of Leuven, Leuven, Belgium
| | - Sheetal Hardikar
- Department of Population Health Sciences, University of Utah, Salt Lake City, Utah, United States of America
- Huntsman Cancer Institute, University of Utah, Salt Lake City, Utah, United States of America
| | - Tim S Nawrot
- Centre for Environmental Sciences, Hasselt University, Hasselt, Belgium
| | - Jan A Staessen
- Biomedical Science Group, University of Leuven, Leuven, Belgium
- Research Institute Association for the Promotion of Preventive Medicine, Mechelen, Belgium
| | - Zhen-Yu Zhang
- Research Unit Hypertension and Cardiovascular Epidemiology, KU Leuven Department of Cardiovascular Sciences, University of Leuven, Leuven, Belgium
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31
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Vadaq N, Schirmer M, Tunjungputri RN, Vlamakis H, Chiriac C, Ardiansyah E, Gasem MH, Joosten LAB, de Groot PG, Xavier RJ, Netea MG, van der Ven AJ, de Mast Q. Untargeted Plasma Metabolomics and Gut Microbiome Profiling Provide Novel Insights into the Regulation of Platelet Reactivity in Healthy Individuals. Thromb Haemost 2022; 122:529-539. [PMID: 34192775 DOI: 10.1055/a-1541-3706] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/12/2023]
Abstract
BACKGROUND Considerable variation exists in platelet reactivity to stimulation among healthy individuals. Various metabolites and metabolic pathways influence platelet reactivity, but a comprehensive overview of these associations is missing. The gut microbiome has a strong influence on the plasma metabolome. Here, we investigated the association of platelet reactivity with results of untargeted plasma metabolomics and gut microbiome profiling. METHODS We used data from a cohort of 534 healthy adult Dutch volunteers (the 500 Functional Genomics study). Platelet activation and reactivity were measured by the expression of the alpha-granule protein P-selectin and the binding of fibrinogen to the activated integrin αIIbβ3, both in unstimulated blood and after ex vivo stimulation with platelet agonists. Plasma metabolome was measured using an untargeted metabolic profiling approach by quadrupole time-of-flight mass spectrometry. Gut microbiome data were measured by shotgun metagenomic sequencing from stool samples. RESULTS Untargeted metabolomics yielded 1,979 metabolites, of which 422 were identified to play a role in a human metabolic pathway. Overall, 92/422 (21.8%) metabolites were significantly associated with at least one readout of platelet reactivity. The majority of associations involved lipids, especially members of eicosanoids, including prostaglandins and leukotrienes. Dietary-derived polyphenols were also found to inhibit platelet reactivity. Validation of metabolic pathways with functional microbial profiles revealed two overlapping metabolic pathways ("alanine, aspartate, and glutamate metabolism" and "arginine biosynthesis") that were associated with platelet reactivity. CONCLUSION This comprehensive overview is an resource for understanding the regulation of platelet reactivity by the plasma metabolome and the possible contribution of the gut microbiota.
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Affiliation(s)
- Nadira Vadaq
- Department of Internal Medicine, Radboud University Medical Center, Nijmegen, The Netherlands.,Radboud Center for Infectious Diseases, Radboud University Medical Center, Nijmegen, The Netherlands.,Center for Tropical and Infectious Diseases, Faculty of Medicine, Diponegoro University-Dr. Kariadi Hospital, Semarang, Indonesia
| | - Melanie Schirmer
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts, United States
| | - Rahajeng N Tunjungputri
- Department of Internal Medicine, Radboud University Medical Center, Nijmegen, The Netherlands.,Radboud Center for Infectious Diseases, Radboud University Medical Center, Nijmegen, The Netherlands.,Center for Tropical and Infectious Diseases, Faculty of Medicine, Diponegoro University-Dr. Kariadi Hospital, Semarang, Indonesia
| | - Hera Vlamakis
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts, United States.,Center for Microbiome Informatics and Therapeutics, MIT, Cambridge, Massachusetts, United States
| | - Cecilia Chiriac
- National Institute of Research and Development for Biological Sciences, Institute of Biological Research, Cluj-Napoca, Romania.,Department of Aquatic Microbial Ecology, Institute of Hydrobiology, Biology Centre of the Academy of Sciences of the Czech Republic, České Budějovice, Czech Republic
| | - Edwin Ardiansyah
- Department of Internal Medicine, Radboud University Medical Center, Nijmegen, The Netherlands.,Radboud Center for Infectious Diseases, Radboud University Medical Center, Nijmegen, The Netherlands
| | - M Hussein Gasem
- Center for Tropical and Infectious Diseases, Faculty of Medicine, Diponegoro University-Dr. Kariadi Hospital, Semarang, Indonesia.,Department of Internal Medicine, Faculty of Medicine Diponegoro University-Dr. Kariadi Hospital, Semarang, Indonesia
| | - Leo A B Joosten
- Department of Internal Medicine, Radboud University Medical Center, Nijmegen, The Netherlands.,Radboud Center for Infectious Diseases, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Philip G de Groot
- Department of Internal Medicine, Radboud University Medical Center, Nijmegen, The Netherlands.,Radboud Center for Infectious Diseases, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Ramnik J Xavier
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts, United States.,Center for Microbiome Informatics and Therapeutics, MIT, Cambridge, Massachusetts, United States
| | - Mihai G Netea
- Department of Internal Medicine, Radboud University Medical Center, Nijmegen, The Netherlands.,Radboud Center for Infectious Diseases, Radboud University Medical Center, Nijmegen, The Netherlands.,Department for Genomics and Immunoregulation, Life and Medical Sciences Institute, University of Bonn, Bonn, Germany
| | - Andre J van der Ven
- Department of Internal Medicine, Radboud University Medical Center, Nijmegen, The Netherlands.,Radboud Center for Infectious Diseases, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Quirijn de Mast
- Department of Internal Medicine, Radboud University Medical Center, Nijmegen, The Netherlands.,Radboud Center for Infectious Diseases, Radboud University Medical Center, Nijmegen, The Netherlands
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32
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Soukarieh O, Meguerditchian C, Proust C, Aïssi D, Eyries M, Goyenvalle A, Trégouët DA. Common and Rare 5′UTR Variants Altering Upstream Open Reading Frames in Cardiovascular Genomics. Front Cardiovasc Med 2022; 9:841032. [PMID: 35387445 PMCID: PMC8977850 DOI: 10.3389/fcvm.2022.841032] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2021] [Accepted: 02/21/2022] [Indexed: 01/16/2023] Open
Abstract
High-throughput sequencing (HTS) technologies are revolutionizing the research and molecular diagnosis landscape by allowing the exploration of millions of nucleotide sequences at an unprecedented scale. These technologies are of particular interest in the identification of genetic variations contributing to the risk of rare (Mendelian) and common (multifactorial) human diseases. So far, they have led to numerous successes in identifying rare disease-causing mutations in coding regions, but few in non-coding regions that include introns, untranslated (UTR), and intergenic regions. One class of neglected non-coding variations is that of 5′UTR variants that alter upstream open reading frames (upORFs) of the coding sequence (CDS) of a natural protein coding transcript. Following a brief summary of the molecular bases of the origin and functions of upORFs, we will first review known 5′UTR variations altering upORFs and causing rare cardiovascular disorders (CVDs). We will then investigate whether upORF-affecting single nucleotide polymorphisms could be good candidates for explaining association signals detected in the context of genome-wide association studies for common complex CVDs.
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Affiliation(s)
- Omar Soukarieh
- INSERM, Bordeaux Population Health, U1219, Molecular Epidemiology of Vascular and Brain Disorders, University of Bordeaux, Bordeaux, France
- *Correspondence: Omar Soukarieh,
| | - Caroline Meguerditchian
- INSERM, Bordeaux Population Health, U1219, Molecular Epidemiology of Vascular and Brain Disorders, University of Bordeaux, Bordeaux, France
| | - Carole Proust
- INSERM, Bordeaux Population Health, U1219, Molecular Epidemiology of Vascular and Brain Disorders, University of Bordeaux, Bordeaux, France
| | - Dylan Aïssi
- INSERM, Bordeaux Population Health, U1219, Molecular Epidemiology of Vascular and Brain Disorders, University of Bordeaux, Bordeaux, France
| | - Mélanie Eyries
- Department of Genetics, Pitié-Salpêtrière Hospital, Assistance Publique-Hôpitaux de Paris, Sorbonne Université, Paris, France
| | | | - David-Alexandre Trégouët
- INSERM, Bordeaux Population Health, U1219, Molecular Epidemiology of Vascular and Brain Disorders, University of Bordeaux, Bordeaux, France
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33
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Daghals I, Sargurupremraj M, Danning R, Gormley P, Malik R, Amouyel P, Metso T, Pezzini A, Kurth T, Debette S, Chasman D. Migraine, Stroke, and Cervical Arterial Dissection: Shared Genetics for a Triad of Brain Disorders With Vascular Involvement. Neurol Genet 2022; 8:e653. [PMID: 35128049 PMCID: PMC8808356 DOI: 10.1212/nxg.0000000000000653] [Citation(s) in RCA: 21] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2021] [Accepted: 12/07/2021] [Indexed: 12/15/2022]
Abstract
BACKGROUND AND OBJECTIVES Migraine, stroke, and cervical artery dissection (CeAD) represent a triad of cerebrovascular disorders with pairwise comorbid relationships and vascular involvement. Larger samples and recent advances in methodology invite systematic exploration of their shared genetics. METHODS Genetic analyses leveraged summary statistics from genome-wide association studies of the largest available samples of each disorder, including subtypes of stroke (ischemic stroke, large artery stroke, small vessel stroke, and cardioembolic stroke) and migraine (with aura and without aura). For each pair of disorders, genetic correlation was assessed both on a genome-wide basis and within independent segments across the genome including known specific loci for each disorder. A cross-trait meta-analysis was used to identify novel candidate loci. Finally, potential causality of migraine susceptibility on stroke and CeAD was assessed by Mendelian randomization. RESULTS Among all pairs of disorders, genome-wide genetic correlation was observed only between CeAD and migraine, particularly MO. Local genetic correlations were more extensive between migraine and CeAD than those between migraine and stroke or CeAD and stroke and revealed evidence for novel CeAD associations at rs6693567 (ADAMTSL4/ECM1), rs11187838 (PLCE1), and rs7940646 (MRVI1) while strengthening prior subthreshold evidence at rs9486725 (FHL5) and rs650724 (LRP1). At known migraine loci, novel associations with stroke had concordant risk alleles for small vessel stroke at rs191602009 (CARF) and for cardioembolic stroke at rs55884259 (NKX2-5). Known migraine loci also revealed novel associations but with opposite risk alleles for all stroke, ischemic stroke, and small vessel stroke at rs55928386 (HTRA1), for large artery stroke at rs11172113 (LRP1), and for all stroke and ischemic stroke at rs1535791 and rs4942561 (both LRCH1), respectively. rs182923402 (near PTCH1) was a novel concordant locus for migraine and cardioembolic stroke. Mendelian randomization supported potential causal influences of migraine on CeAD (odds ratio [95% confidence interval] per doubling migraine prevalence = 1.69 [1.24-2.3], p = 0.0009) with concordant risk, but with opposite risk on large artery stroke (0.86 [0.76-0.96], p = 0.0067). DISCUSSION The findings emphasize shared genetic risk between migraine and CeAD while identifying loci with likely vascular function in migraine and shared but opposite genetic risk between migraine and stroke subtypes, and a central role of LRP1 in all 3 cerebrovascular disorders.
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Affiliation(s)
| | | | - Rebecca Danning
- From the Harvard Medical School (I.D., D.C.), Boston, MA; Division of Preventive Medicine (I.D., R.D., D.C.), Brigham and Women's Hospital, Boston, MA; University of Bordeaux (M.S., S.D.), Inserm, Bordeaux Population Health Research Center, Team VINTAGE, UMR 1219, France; Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases (M.S.), University of Texas Health, San Antonio; Massachusetts General Hospital (P.G.), Boston; Institute for Stroke and Dementia Research (R.M.), Klinikum der Universität München, Ludwig-Maximilians-University, Germany; LabEx DISTALZ-U1167 (P.A.), RID-AGE-Risk Factors and Molecular Determinants of Aging-Related Diseases, University of Lille; Inserm U1167 (P.A.), Lille; Centre Hospitalier Universitaire Lille (P.A.); Institut Pasteur de Lille (P.A.), France; Department of Neurology (T.M.), Helsinki University Central Hospital, Finland; Department of Clinical and Experimental Sciences (A.P.), Neurology Clinic, Brescia University Hospital, Italy; Institute of Public Health (T.K.), Charité—Universitätsmedizin Berlin, Germany; and Department of Neurology (S.D.), CHU de Bordeaux, France
| | - Padhraig Gormley
- From the Harvard Medical School (I.D., D.C.), Boston, MA; Division of Preventive Medicine (I.D., R.D., D.C.), Brigham and Women's Hospital, Boston, MA; University of Bordeaux (M.S., S.D.), Inserm, Bordeaux Population Health Research Center, Team VINTAGE, UMR 1219, France; Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases (M.S.), University of Texas Health, San Antonio; Massachusetts General Hospital (P.G.), Boston; Institute for Stroke and Dementia Research (R.M.), Klinikum der Universität München, Ludwig-Maximilians-University, Germany; LabEx DISTALZ-U1167 (P.A.), RID-AGE-Risk Factors and Molecular Determinants of Aging-Related Diseases, University of Lille; Inserm U1167 (P.A.), Lille; Centre Hospitalier Universitaire Lille (P.A.); Institut Pasteur de Lille (P.A.), France; Department of Neurology (T.M.), Helsinki University Central Hospital, Finland; Department of Clinical and Experimental Sciences (A.P.), Neurology Clinic, Brescia University Hospital, Italy; Institute of Public Health (T.K.), Charité—Universitätsmedizin Berlin, Germany; and Department of Neurology (S.D.), CHU de Bordeaux, France
| | - Rainer Malik
- From the Harvard Medical School (I.D., D.C.), Boston, MA; Division of Preventive Medicine (I.D., R.D., D.C.), Brigham and Women's Hospital, Boston, MA; University of Bordeaux (M.S., S.D.), Inserm, Bordeaux Population Health Research Center, Team VINTAGE, UMR 1219, France; Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases (M.S.), University of Texas Health, San Antonio; Massachusetts General Hospital (P.G.), Boston; Institute for Stroke and Dementia Research (R.M.), Klinikum der Universität München, Ludwig-Maximilians-University, Germany; LabEx DISTALZ-U1167 (P.A.), RID-AGE-Risk Factors and Molecular Determinants of Aging-Related Diseases, University of Lille; Inserm U1167 (P.A.), Lille; Centre Hospitalier Universitaire Lille (P.A.); Institut Pasteur de Lille (P.A.), France; Department of Neurology (T.M.), Helsinki University Central Hospital, Finland; Department of Clinical and Experimental Sciences (A.P.), Neurology Clinic, Brescia University Hospital, Italy; Institute of Public Health (T.K.), Charité—Universitätsmedizin Berlin, Germany; and Department of Neurology (S.D.), CHU de Bordeaux, France
| | - Philippe Amouyel
- From the Harvard Medical School (I.D., D.C.), Boston, MA; Division of Preventive Medicine (I.D., R.D., D.C.), Brigham and Women's Hospital, Boston, MA; University of Bordeaux (M.S., S.D.), Inserm, Bordeaux Population Health Research Center, Team VINTAGE, UMR 1219, France; Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases (M.S.), University of Texas Health, San Antonio; Massachusetts General Hospital (P.G.), Boston; Institute for Stroke and Dementia Research (R.M.), Klinikum der Universität München, Ludwig-Maximilians-University, Germany; LabEx DISTALZ-U1167 (P.A.), RID-AGE-Risk Factors and Molecular Determinants of Aging-Related Diseases, University of Lille; Inserm U1167 (P.A.), Lille; Centre Hospitalier Universitaire Lille (P.A.); Institut Pasteur de Lille (P.A.), France; Department of Neurology (T.M.), Helsinki University Central Hospital, Finland; Department of Clinical and Experimental Sciences (A.P.), Neurology Clinic, Brescia University Hospital, Italy; Institute of Public Health (T.K.), Charité—Universitätsmedizin Berlin, Germany; and Department of Neurology (S.D.), CHU de Bordeaux, France
| | - Tiina Metso
- From the Harvard Medical School (I.D., D.C.), Boston, MA; Division of Preventive Medicine (I.D., R.D., D.C.), Brigham and Women's Hospital, Boston, MA; University of Bordeaux (M.S., S.D.), Inserm, Bordeaux Population Health Research Center, Team VINTAGE, UMR 1219, France; Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases (M.S.), University of Texas Health, San Antonio; Massachusetts General Hospital (P.G.), Boston; Institute for Stroke and Dementia Research (R.M.), Klinikum der Universität München, Ludwig-Maximilians-University, Germany; LabEx DISTALZ-U1167 (P.A.), RID-AGE-Risk Factors and Molecular Determinants of Aging-Related Diseases, University of Lille; Inserm U1167 (P.A.), Lille; Centre Hospitalier Universitaire Lille (P.A.); Institut Pasteur de Lille (P.A.), France; Department of Neurology (T.M.), Helsinki University Central Hospital, Finland; Department of Clinical and Experimental Sciences (A.P.), Neurology Clinic, Brescia University Hospital, Italy; Institute of Public Health (T.K.), Charité—Universitätsmedizin Berlin, Germany; and Department of Neurology (S.D.), CHU de Bordeaux, France
| | - Alessandro Pezzini
- From the Harvard Medical School (I.D., D.C.), Boston, MA; Division of Preventive Medicine (I.D., R.D., D.C.), Brigham and Women's Hospital, Boston, MA; University of Bordeaux (M.S., S.D.), Inserm, Bordeaux Population Health Research Center, Team VINTAGE, UMR 1219, France; Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases (M.S.), University of Texas Health, San Antonio; Massachusetts General Hospital (P.G.), Boston; Institute for Stroke and Dementia Research (R.M.), Klinikum der Universität München, Ludwig-Maximilians-University, Germany; LabEx DISTALZ-U1167 (P.A.), RID-AGE-Risk Factors and Molecular Determinants of Aging-Related Diseases, University of Lille; Inserm U1167 (P.A.), Lille; Centre Hospitalier Universitaire Lille (P.A.); Institut Pasteur de Lille (P.A.), France; Department of Neurology (T.M.), Helsinki University Central Hospital, Finland; Department of Clinical and Experimental Sciences (A.P.), Neurology Clinic, Brescia University Hospital, Italy; Institute of Public Health (T.K.), Charité—Universitätsmedizin Berlin, Germany; and Department of Neurology (S.D.), CHU de Bordeaux, France
| | - Tobias Kurth
- From the Harvard Medical School (I.D., D.C.), Boston, MA; Division of Preventive Medicine (I.D., R.D., D.C.), Brigham and Women's Hospital, Boston, MA; University of Bordeaux (M.S., S.D.), Inserm, Bordeaux Population Health Research Center, Team VINTAGE, UMR 1219, France; Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases (M.S.), University of Texas Health, San Antonio; Massachusetts General Hospital (P.G.), Boston; Institute for Stroke and Dementia Research (R.M.), Klinikum der Universität München, Ludwig-Maximilians-University, Germany; LabEx DISTALZ-U1167 (P.A.), RID-AGE-Risk Factors and Molecular Determinants of Aging-Related Diseases, University of Lille; Inserm U1167 (P.A.), Lille; Centre Hospitalier Universitaire Lille (P.A.); Institut Pasteur de Lille (P.A.), France; Department of Neurology (T.M.), Helsinki University Central Hospital, Finland; Department of Clinical and Experimental Sciences (A.P.), Neurology Clinic, Brescia University Hospital, Italy; Institute of Public Health (T.K.), Charité—Universitätsmedizin Berlin, Germany; and Department of Neurology (S.D.), CHU de Bordeaux, France
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Stasko J, Holly P, Kubisz P. A new decade awaits sticky platelet syndrome: where are we now, how do we manage and what are the complications? Expert Rev Hematol 2022; 15:53-63. [PMID: 35034520 DOI: 10.1080/17474086.2022.2030217] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
INTRODUCTION Sticky platelet syndrome is a less known platelet function disorder with a familiar occurrence and likely genetic background. Clinically, it is characterized by an increased risk of venous and arterial thromboembolic events and obstetric placenta-mediated complications. The increased aggregation after low-dose ADP and/or epinephrine is its distinctive laboratory feature. Though described for almost 40 years, several issues regarding its etiology, involved pathomechanisms, genetic background, optimal diagnostic and treatment approach remain controversial. AREAS COVERED The work aims to summarize published studies, the actual definition of the syndrome, and point out its drawbacks. A literature search on Medline, Embase, and archives from EHA congresses was performed (terms: 'sticky platelet syndrome' - 'platelet hyperreactivity' - 'platelet hyperaggregability'). The authors added in their unpublished data. The introductory overview of the present understanding is followed by the discussion of the pathophysiologic, diagnostic, and therapeutic problems. EXPERT OPINION Despite the growing evidence provided by case reports and series, the lack of robust studies limits the decision-making on diagnostics and management. The diagnostic issues, particularly the standardization of light transmission aggregometry, represent the crucial problem for the broader acceptance of the syndrome.
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Affiliation(s)
- Jan Stasko
- Department of Hematology and Transfusion Medicine, National Center of Hemostasis and Thrombosis, Jessenius Faculty of Medicine in Martin of the Comenius University in Bratislava, University Hospital in Martin, Martin, Slovakia
| | - Pavol Holly
- Department of Hematology and Transfusion Medicine, National Center of Hemostasis and Thrombosis, University Hospital in Martin, Martin, Slovakia
| | - Peter Kubisz
- Department of Hematology and Transfusion Medicine, National Center of Hemostasis and Thrombosis, Jessenius Faculty of Medicine in Martin of the Comenius University in Bratislava, University Hospital in Martin, Martin, Slovakia
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35
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OUP accepted manuscript. Brain 2022; 145:3214-3224. [DOI: 10.1093/brain/awac105] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2021] [Revised: 02/11/2022] [Accepted: 03/04/2022] [Indexed: 11/15/2022] Open
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Ngwa JS, Yanek LR, Kammers K, Kanchan K, Taub MA, Scharpf RB, Faraday N, Becker LC, Mathias RA, Ruczinski I. Secondary analyses for genome-wide association studies using expression quantitative trait loci. Genet Epidemiol 2022; 46:170-181. [PMID: 35312098 PMCID: PMC9086181 DOI: 10.1002/gepi.22448] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2021] [Revised: 11/19/2021] [Accepted: 01/20/2022] [Indexed: 01/01/2023]
Abstract
Genome-wide association studies (GWAS) have successfully identified thousands of single nucleotide polymorphisms (SNPs) associated with complex traits; however, the identified SNPs account for a fraction of trait heritability, and identifying the functional elements through which genetic variants exert their effects remains a challenge. Recent evidence suggests that SNPs associated with complex traits are more likely to be expression quantitative trait loci (eQTL). Thus, incorporating eQTL information can potentially improve power to detect causal variants missed by traditional GWAS approaches. Using genomic, transcriptomic, and platelet phenotype data from the Genetic Study of Atherosclerosis Risk family-based study, we investigated the potential to detect novel genomic risk loci by incorporating information from eQTL in the relevant target tissues (i.e., platelets and megakaryocytes) using established statistical principles in a novel way. Permutation analyses were performed to obtain family-wise error rates for eQTL associations, substantially lowering the genome-wide significance threshold for SNP-phenotype associations. In addition to confirming the well known association between PEAR1 and platelet aggregation, our eQTL-focused approach identified a novel locus (rs1354034) and gene (ARHGEF3) not previously identified in a GWAS of platelet aggregation phenotypes. A colocalization analysis showed strong evidence for a functional role of this eQTL.
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Affiliation(s)
- Julius S. Ngwa
- Department of BiostatisticsJohns Hopkins Bloomberg School of Public HealthBaltimoreMarylandUSA
| | - Lisa R. Yanek
- Department of MedicineJohns Hopkins University School of MedicineBaltimoreMarylandUSA
| | - Kai Kammers
- Department of OncologyJohns Hopkins University, School of MedicineBaltimoreMarylandUSA
| | - Kanika Kanchan
- Department of MedicineJohns Hopkins University School of MedicineBaltimoreMarylandUSA
| | - Margaret A. Taub
- Department of BiostatisticsJohns Hopkins Bloomberg School of Public HealthBaltimoreMarylandUSA
| | - Robert B. Scharpf
- Department of OncologyJohns Hopkins University, School of MedicineBaltimoreMarylandUSA
| | - Nauder Faraday
- Department of Anesthesiology and Critical Care MedicineJohns Hopkins University School of MedicineBaltimoreMarylandUSA
| | - Lewis C. Becker
- Department of MedicineJohns Hopkins University School of MedicineBaltimoreMarylandUSA
| | - Rasika A. Mathias
- Department of MedicineJohns Hopkins University School of MedicineBaltimoreMarylandUSA
| | - Ingo Ruczinski
- Department of BiostatisticsJohns Hopkins Bloomberg School of Public HealthBaltimoreMarylandUSA
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Duconge J, Santiago E, Hernandez‐Suarez DF, Moneró M, López‐Reyes A, Rosario M, Renta JY, González P, Ileana Fernández‐Morales L, Antonio Vélez‐Figueroa L, Arce O, Marín‐Maldonado F, Nuñez H, Melin K, Scott SA, Ruaño G. Pharmacogenomic polygenic risk score for clopidogrel responsiveness among Caribbean Hispanics: A candidate gene approach. Clin Transl Sci 2021; 14:2254-2266. [PMID: 34415683 PMCID: PMC8604227 DOI: 10.1111/cts.13124] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2021] [Revised: 07/10/2021] [Accepted: 07/14/2021] [Indexed: 12/31/2022] Open
Abstract
This multicenter clinical study was aimed at conducting a targeted pharmacogenomic association analysis of residual on-clopidogrel platelet reactivity in 474 Caribbean Hispanic patients. Platelet reactivity was measured using the VerifyNow P2Y12 assay and clopidogrel resistance was defined as P2Y12 reaction units (PRUs) greater than or equal to 208. Genotyping was performed using the whole-genome Infinium MEGA BeadChip array. An ancestry-adjusted, weighted polygenic risk score (wPGxRS) was developed to account for the effect of multiple variants on PRU and compared between clopidogrel responders and nonresponders. The mean PRU across the study cohort was 173.8 ± 68.5 and 33.5% of patients were defined as clopidogrel resistant. Multivariate linear regression showed that 19% of PRU variability was attributed to nine independent predictors, with CYP2C19*2 (rs4244285) accounting for ~ 7% of observed PRU variation (p < 0.001). PON1 rs662, ABCB1/MDR1 rs2032582, PEAR1 rs12041331 carrier status, and the interaction between African ancestry and rs12041331 carriers also predicted PRU among the participants (p ≤ 0.05). A clear gene-dose effect was detected between PRU and CYP2C19*2 genotype, consistent with previous studies in European patient populations, as well as rs12777823. Importantly, a significant positive correlation was detected between our novel wPGxRS (4 variants) and PRU among the Hispanic patient population (rp = 0.35, p < 0.001). Moreover, the wPGxRS discriminated between nonresponders and responders (p = 0.003), indicating that this multigene-based score is a useful predictor of clopidogrel resistance among Caribbean Hispanics. Taken together, these results help close the gap of knowledge on clopidogrel pharmacogenomics and its potential clinical implementation in this under-represented population.
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Affiliation(s)
- Jorge Duconge
- Department of Pharmaceutical SciencesSchool of PharmacyUniversity of Puerto Rico ‐ Medical Sciences CampusSan Juan, Puerto RicoUSA
| | - Ednalise Santiago
- Research Centers in Minority Institutions (RCMI) ProgramCenter for Collaborative Research in Health Disparities (CCRHD)Academic Affairs DeanshipUniversity of Puerto Rico ‐ Medical Sciences CampusSan Juan, Puerto RicoUSA
| | - Dagmar F. Hernandez‐Suarez
- Division of Cardiovascular MedicineSchool of MedicineUniversity of Puerto Rico ‐ Medical Sciences CampusSan Juan, Puerto RicoUSA
| | - Mariangeli Moneró
- Department of PharmacologySchool of MedicineUniversity of Puerto Rico ‐ Medical Sciences CampusSan Juan, Puerto RicoUSA
| | - Andrés López‐Reyes
- Department of BiologyCollege of Natural SciencesUniversity of Puerto Rico ‐ Rio Piedras CampusSan Juan, Puerto RicoUSA
| | - Marines Rosario
- Department of BiologyCollege of Natural SciencesUniversity of Puerto Rico ‐ Rio Piedras CampusSan Juan, Puerto RicoUSA
| | - Jessicca Y. Renta
- Research Centers in Minority Institutions (RCMI) ProgramCenter for Collaborative Research in Health Disparities (CCRHD)Academic Affairs DeanshipUniversity of Puerto Rico ‐ Medical Sciences CampusSan Juan, Puerto RicoUSA
| | - Pablo González
- Department of PharmacologySchool of MedicineUniversity of Puerto Rico ‐ Medical Sciences CampusSan Juan, Puerto RicoUSA
| | | | | | - Orlando Arce
- School of MedicineUniversidad Central del CaribeBayamon, Puerto RicoUSA
| | - Frances Marín‐Maldonado
- Research Centers in Minority Institutions (RCMI) ProgramCenter for Collaborative Research in Health Disparities (CCRHD)Academic Affairs DeanshipUniversity of Puerto Rico ‐ Medical Sciences CampusSan Juan, Puerto RicoUSA
| | - Héctor Nuñez
- Division of Cardiovascular MedicineSchool of MedicineUniversity of Puerto Rico ‐ Medical Sciences CampusSan Juan, Puerto RicoUSA
| | - Kyle Melin
- Department of Pharmacy PracticeSchool of PharmacyUniversity of Puerto Rico ‐ Medical Sciences CampusSan Juan, Puerto RicoUSA
| | - Stuart A. Scott
- Department of PathologyStanford UniversityPalo AltoCaliforniaUSA
| | - Gualberto Ruaño
- Institute of Living at Hartford HospitalHartfordConnecticutUSA
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Nations CC, Pavani G, French DL, Gadue P. Modeling genetic platelet disorders with human pluripotent stem cells: mega-progress but wanting more on our plate(let). Curr Opin Hematol 2021; 28:308-314. [PMID: 34397590 PMCID: PMC8371829 DOI: 10.1097/moh.0000000000000671] [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] [Indexed: 11/25/2022]
Abstract
PURPOSE OF REVIEW Megakaryocytes are rare hematopoietic cells that play an instrumental role in hemostasis, and other important biological processes such as immunity and wound healing. With the advent of cell reprogramming technologies and advances in differentiation protocols, it is now possible to obtain megakaryocytes from any pluripotent stem cell (PSC) via hematopoietic induction. Here, we review recent advances in PSC-derived megakaryocyte (iMK) technology, focusing on platform validation, disease modeling and current limitations. RECENT FINDINGS A comprehensive study confirmed that iMK can recapitulate many transcriptional and functional aspects of megakaryocyte and platelet biology, including variables associated with complex genetic traits such as sex and race. These findings were corroborated by several pathological models in which iMKs revealed molecular mechanisms behind inherited platelet disorders and assessed the efficacy of novel pharmacological interventions. However, current differentiation protocols generate primarily embryonic iMK, limiting the clinical and translational potential of this system. SUMMARY iMK are strong candidates to model pathologic mutations involved in platelet defects and develop innovative therapeutic strategies. Future efforts on generating definitive hematopoietic progenitors would improve current platelet generation protocols and expand our capacity to model neonatal and adult megakaryocyte disorders.
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Affiliation(s)
- Catriana C Nations
- Department of Cell and Molecular Biology, University of Pennsylvania Perelman School of Medicine
- Center for Cellular and Molecular Therapeutics, Children's Hospital of Philadelphia
| | - Giulia Pavani
- Center for Cellular and Molecular Therapeutics, Children's Hospital of Philadelphia
| | - Deborah L French
- Center for Cellular and Molecular Therapeutics, Children's Hospital of Philadelphia
- Department of Pathology and Laboratory Medicine, University of Pennsylvania Perelman School of Medicine and Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
| | - Paul Gadue
- Center for Cellular and Molecular Therapeutics, Children's Hospital of Philadelphia
- Department of Pathology and Laboratory Medicine, University of Pennsylvania Perelman School of Medicine and Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
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Kammers K, Taub MA, Mathias RA, Yanek LR, Kanchan K, Venkatraman V, Sundararaman N, Martin J, Liu S, Hoyle D, Raedschelders K, Holewinski R, Parker S, Dardov V, Faraday N, Becker DM, Cheng L, Wang ZZ, Leek JT, Van Eyk JE, Becker LC. Gene and protein expression in human megakaryocytes derived from induced pluripotent stem cells. J Thromb Haemost 2021; 19:1783-1799. [PMID: 33829634 DOI: 10.1111/jth.15334] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2020] [Revised: 01/25/2021] [Accepted: 02/19/2021] [Indexed: 01/26/2023]
Abstract
BACKGROUND There is interest in deriving megakaryocytes (MKs) from pluripotent stem cells (iPSC) for biological studies. We previously found that genomic structural integrity and genotype concordance is maintained in iPSC-derived MKs. OBJECTIVE To establish a comprehensive dataset of genes and proteins expressed in iPSC-derived MKs. METHODS iPSCs were reprogrammed from peripheral blood mononuclear cells (MNCs) and MKs were derived from the iPSCs in 194 healthy European American and African American subjects. mRNA was isolated and gene expression measured by RNA sequencing. Protein expression was measured in 62 of the subjects using mass spectrometry. RESULTS AND CONCLUSIONS MKs expressed genes and proteins known to be important in MK and platelet function and demonstrated good agreement with previous studies in human MKs derived from CD34+ progenitor cells. The percent of cells expressing the MK markers CD41 and CD42a was consistent in biological replicates, but variable across subjects, suggesting that unidentified subject-specific factors determine differentiation of MKs from iPSCs. Gene and protein sets important in platelet function were associated with increasing expression of CD41/42a, while those related to more basic cellular functions were associated with lower CD41/42a expression. There was differential gene expression by the sex and race (but not age) of the subject. Numerous genes and proteins were highly expressed in MKs but not known to play a role in MK or platelet function; these represent excellent candidates for future study of hematopoiesis, platelet formation, and/or platelet function.
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Affiliation(s)
- Kai Kammers
- Division of Biostatistics and Bioinformatics, Department of Oncology, Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Margaret A Taub
- Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Rasika A Mathias
- The GeneSTAR Program, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
- Division of Allergy and Clinical Immunology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Lisa R Yanek
- The GeneSTAR Program, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Kanika Kanchan
- Division of Allergy and Clinical Immunology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Vidya Venkatraman
- Advanced Clinical Biosystems Research Institute, Barbra Streisand Woman's Heart Center, The Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA
| | - Niveda Sundararaman
- Advanced Clinical Biosystems Research Institute, Barbra Streisand Woman's Heart Center, The Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA
| | - Joshua Martin
- The GeneSTAR Program, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Senquan Liu
- Division of Hematology and Institute for Cell Engineering, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Dixie Hoyle
- Division of Hematology and Institute for Cell Engineering, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Koen Raedschelders
- Advanced Clinical Biosystems Research Institute, Barbra Streisand Woman's Heart Center, The Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA
| | - Ronald Holewinski
- Advanced Clinical Biosystems Research Institute, Barbra Streisand Woman's Heart Center, The Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA
| | - Sarah Parker
- Advanced Clinical Biosystems Research Institute, Barbra Streisand Woman's Heart Center, The Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA
| | - Victoria Dardov
- Advanced Clinical Biosystems Research Institute, Barbra Streisand Woman's Heart Center, The Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA
| | - Nauder Faraday
- The GeneSTAR Program, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Diane M Becker
- The GeneSTAR Program, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Linzhao Cheng
- Division of Hematology and Institute for Cell Engineering, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Zack Z Wang
- Division of Hematology and Institute for Cell Engineering, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Jeffrey T Leek
- Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Jennifer E Van Eyk
- Advanced Clinical Biosystems Research Institute, Barbra Streisand Woman's Heart Center, The Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA
| | - Lewis C Becker
- The GeneSTAR Program, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
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Genome sequencing unveils a regulatory landscape of platelet reactivity. Nat Commun 2021; 12:3626. [PMID: 34131117 PMCID: PMC8206369 DOI: 10.1038/s41467-021-23470-9] [Citation(s) in RCA: 27] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2020] [Accepted: 04/13/2021] [Indexed: 12/16/2022] Open
Abstract
Platelet aggregation at the site of atherosclerotic vascular injury is the underlying pathophysiology of myocardial infarction and stroke. To build upon prior GWAS, here we report on 16 loci identified through a whole genome sequencing (WGS) approach in 3,855 NHLBI Trans-Omics for Precision Medicine (TOPMed) participants deeply phenotyped for platelet aggregation. We identify the RGS18 locus, which encodes a myeloerythroid lineage-specific regulator of G-protein signaling that co-localizes with expression quantitative trait loci (eQTL) signatures for RGS18 expression in platelets. Gene-based approaches implicate the SVEP1 gene, a known contributor of coronary artery disease risk. Sentinel variants at RGS18 and PEAR1 are associated with thrombosis risk and increased gastrointestinal bleeding risk, respectively. Our WGS findings add to previously identified GWAS loci, provide insights regarding the mechanism(s) by which genetics may influence cardiovascular disease risk, and underscore the importance of rare variant and regulatory approaches to identifying loci contributing to complex phenotypes.
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Zhang XG, Gu JY, Fu QQ, Chen SW, Xue J, Jiang SS, Kong YM, Li YM, Yue YH. Impact of Platelet Endothelial Aggregation Receptor-1 Genotypes on Long-Term Cerebrovascular Outcomes in Patients With Minor Stroke or Transient Ischemic Attack. Front Neurol 2021; 12:649056. [PMID: 34135847 PMCID: PMC8202184 DOI: 10.3389/fneur.2021.649056] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2021] [Accepted: 03/19/2021] [Indexed: 11/29/2022] Open
Abstract
Background: Platelet endothelial aggregation receptor-1 (PEAR1) rs12041331 has been reported to affect agonist-stimulated platelet aggregation, but it remains unclear whether this variant plays a role in recurrent stroke. Here we assess the clinical relevance of PEAR1 rs12041331 in acute minor ischemic stroke (AMIS) and transient ischemic attack (TIA) Chinese patients treated with dual antiplatelet therapy (DAPT). Methods: We recruited 273 consecutive minor stroke and TIA patients, and Cox proportional hazard regression was used to model the relationship between PEAR1 rs12041331 and thrombotic and bleeding events. Results: Genotyping for PEAR1 rs12041331 showed 49 (18.0%) AA homozygotes, 129 (47.3%) GA heterozygotes, and 95 (34.7%) GG homozygotes. No association was observed between PEAR1 rs12041331 genotype and stroke or composite clinical vascular event rates (ischemic stroke, hemorrhagic stroke, TIA, myocardial infarction, or vascular death) or bleeding events regardless if individuals carried one or two copies of the A allele. Our results suggested that rs12041331 genetic polymorphism was not an important contributor to clinical events in AMIS and TIA patients in the setting of secondary prevention. Conclusions: Our data do provide robust evidence that genetic variation in PEAR1 rs12041331 do not contribute to atherothrombotic or bleeding risk in minor stroke and TIA patients treated with DAPT.
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Affiliation(s)
- Xiao-Guang Zhang
- Department of Neurology, Yangpu Hospital, Tongji University School of Medicine, Shanghai, China
| | - Jing-Yu Gu
- Department of Neurology, Yangpu Hospital, Tongji University School of Medicine, Shanghai, China
| | - Qiang-Qiang Fu
- Department of Neurology, Yangpu Hospital, Tongji University School of Medicine, Shanghai, China
| | - Shi-Wu Chen
- Department of Neurology, Yangpu Hospital, Tongji University School of Medicine, Shanghai, China
| | - Jie Xue
- Department of Neurology, Yangpu Hospital, Tongji University School of Medicine, Shanghai, China
| | - Shan-Shan Jiang
- Department of Neurology, Yangpu Hospital, Tongji University School of Medicine, Shanghai, China
| | - Yu-Ming Kong
- Department of Neurology, Yangpu Hospital, Tongji University School of Medicine, Shanghai, China
| | - You-Mei Li
- Department of Neurology, Yangpu Hospital, Tongji University School of Medicine, Shanghai, China
| | - Yun-Hua Yue
- Department of Neurology, Yangpu Hospital, Tongji University School of Medicine, Shanghai, China
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Sala V, Della Sala A, Ghigo A, Hirsch E. Roles of phosphatidyl inositol 3 kinase gamma (PI3Kγ) in respiratory diseases. Cell Stress 2021; 5:40-51. [PMID: 33821232 PMCID: PMC8012884 DOI: 10.15698/cst2021.04.246] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023] Open
Abstract
Phosphatidyl inositol 3 kinase gamma (PI3Kγ) is expressed in all the cell types that are involved in airway inflammation and disease, including not only leukocytes, but also structural cells, where it is expressed at very low levels under physiological conditions, while is significantly upregulated after stress. In the airways, PI3Kγ behaves as a trigger or a controller, depending on the pathological context. In this review, the contribution of PI3Kγ in a plethora of respiratory diseases, spanning from acute lung injury, pulmonary fibrosis, asthma, cystic fibrosis and response to both bacterial and viral pathogens, will be commented.
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Affiliation(s)
- Valentina Sala
- Department of Molecular Biotechnology and Health Sciences, University of Torino, Via Nizza 52, 10126, Torino, Italy
| | - Angela Della Sala
- Department of Molecular Biotechnology and Health Sciences, University of Torino, Via Nizza 52, 10126, Torino, Italy
| | - Alessandra Ghigo
- Department of Molecular Biotechnology and Health Sciences, University of Torino, Via Nizza 52, 10126, Torino, Italy.,Kither Biotech S.r.l. Via Nizza 52, 10126, Torino, Italy.,Equal contribution to senior authorship
| | - Emilio Hirsch
- Department of Molecular Biotechnology and Health Sciences, University of Torino, Via Nizza 52, 10126, Torino, Italy.,Kither Biotech S.r.l. Via Nizza 52, 10126, Torino, Italy.,Equal contribution to senior authorship
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Mitri F, Bersano A, Hervé D, Kraemer M. Cutaneous manifestations in Moyamoya angiopathy: A review. Eur J Neurol 2021; 28:1784-1793. [PMID: 33486780 DOI: 10.1111/ene.14754] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2020] [Revised: 01/15/2021] [Accepted: 01/16/2021] [Indexed: 11/29/2022]
Abstract
BACKGROUND AND PURPOSE Moyamoya angiopathy (MA) is a progressive cerebrovascular disease with a poorly understood pathophysiology. It is mainly characterized by progressive bilateral stenosis of the terminal intracranial part of the supraclinoid internal carotid arteries and the proximal parts of the middle and anterior cerebral arteries. This results in early-onset ischemic or hemorrhagic strokes. The disease may be idiopathic (known as Moyamoya disease) or associated with other heritable or acquired conditions, including type 1 neurofibromatosis or other RASopathies, sickle cell disease, Down syndrome, or autoimmune disorders (known as Moyamoya syndrome). Apart from the brain, other organ manifestations including cutaneous ones have also been described in MA patients. MATERIALS AND METHODS A literature research on PubMed was performed for articles mentioning the cutaneous association in MA and published between 1994 and October 2020. CONCLUSION The present review summarizes the cutaneous associations as well as the coincidental dermatological findings seen in MA patients. Those include changes in the epidermis, dermis, or skin appendages for example café-au-lait spots, hypomelanosis of Ito, livedo racemosa, hemangiomas, premature graying of hair, chilblains etc.
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Affiliation(s)
- Fouad Mitri
- Department of Dermatology, University Hospital Heidelberg, Heidelberg, Germany
| | - Anna Bersano
- Cerebrovascular Unit, Fondazione IRCCS Istituto Neurologico "Carlo Besta", Milan, Italy
| | - Dominique Hervé
- CERVCO Centre de Référence des maladies Vasculaires rares du Cerveau et de l'Oeil, Hôpital Lariboisière, Paris, France
| | - Markus Kraemer
- Department of Neurology, Alfried Krupp von Bohlen und Halbach Hospital, Essen, Germany.,Department of Neurology, Heinrich Heine University Hospital, Düsseldorf, Germany
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Kammers K, Taub MA, Rodriguez B, Yanek LR, Ruczinski I, Martin J, Kanchan K, Battle A, Cheng L, Wang ZZ, Johnson AD, Leek JT, Faraday N, Becker LC, Mathias RA. Transcriptional profile of platelets and iPSC-derived megakaryocytes from whole-genome and RNA sequencing. Blood 2021; 137:959-968. [PMID: 33094331 PMCID: PMC7918180 DOI: 10.1182/blood.2020006115] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2020] [Accepted: 09/29/2020] [Indexed: 01/04/2023] Open
Abstract
Genome-wide association studies have identified common variants associated with platelet-related phenotypes, but because these variants are largely intronic or intergenic, their link to platelet biology is unclear. In 290 normal subjects from the GeneSTAR Research Study (110 African Americans [AAs] and 180 European Americans [EAs]), we generated whole-genome sequence data from whole blood and RNA sequence data from extracted nonribosomal RNA from 185 induced pluripotent stem cell-derived megakaryocyte (MK) cell lines (platelet precursor cells) and 290 blood platelet samples from these subjects. Using eigenMT software to select the peak single-nucleotide polymorphism (SNP) for each expressed gene, and meta-analyzing the results of AAs and EAs, we identify (q-value < 0.05) 946 cis-expression quantitative trait loci (eQTLs) in derived MKs and 1830 cis-eQTLs in blood platelets. Among the 57 eQTLs shared between the 2 tissues, the estimated directions of effect are very consistent (98.2% concordance). A high proportion of detected cis-eQTLs (74.9% in MKs and 84.3% in platelets) are unique to MKs and platelets compared with peak-associated SNP-expressed gene pairs of 48 other tissue types that are reported in version V7 of the Genotype-Tissue Expression Project. The locations of our identified eQTLs are significantly enriched for overlap with several annotation tracks highlighting genomic regions with specific functionality in MKs, including MK-specific DNAse hotspots, H3K27-acetylation marks, H3K4-methylation marks, enhancers, and superenhancers. These results offer insights into the regulatory signature of MKs and platelets, with significant overlap in genes expressed, eQTLs detected, and enrichment within known superenhancers relevant to platelet biology.
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Affiliation(s)
- Kai Kammers
- Division of Biostatistics and Bioinformatics, Department of Oncology, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, MD
| | - Margaret A Taub
- Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD
| | - Benjamin Rodriguez
- National Heart, Lung, and Blood Institute, Population Sciences Branch, The Framingham Heart Study, Framingham, MA; and
| | | | - Ingo Ruczinski
- Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD
| | | | | | | | - Linzhao Cheng
- Division of Hematology and Institute for Cell Engineering, Johns Hopkins University School of Medicine, Baltimore, MD
| | - Zack Z Wang
- Division of Hematology and Institute for Cell Engineering, Johns Hopkins University School of Medicine, Baltimore, MD
| | - Andrew D Johnson
- National Heart, Lung, and Blood Institute, Population Sciences Branch, The Framingham Heart Study, Framingham, MA; and
| | - Jeffrey T Leek
- Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD
| | | | | | - Rasika A Mathias
- The GeneSTAR Research Program
- Division of Allergy and Clinical Immunology
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45
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Abstract
Cyclic guanosine 3',5'-monophosphate (cGMP) is the key second messenger molecule in nitric oxide signaling. Its rapid generation and fate, but also its role in mediating acute cellular functions has been extensively studied. In the past years, genetic studies suggested an important role for cGMP in affecting the risk of chronic cardiovascular diseases, for example, coronary artery disease and myocardial infarction. Here, we review the role of cGMP in atherosclerosis and other cardiovascular diseases and discuss recent genetic findings and identified mechanisms. Finally, we highlight open questions and promising research topics.
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46
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Saki N, Najafi S, Jalali Far M, Kaydani G, Jaseb K. Role of platelet endothelial aggregation receptor 1 polymorphisms in idiopathic thrombocytopenic purpura: Is there an association? CLINICAL CANCER INVESTIGATION JOURNAL 2021. [DOI: 10.4103/ccij.ccij_174_20] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
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47
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Lewis JP, Backman JD, Reny JL, Bergmeijer TO, Mitchell BD, Ritchie MD, Déry JP, Pakyz RE, Gong L, Ryan K, Kim EY, Aradi D, Fernandez-Cadenas I, Lee MTM, Whaley RM, Montaner J, Gensini GF, Cleator JH, Chang K, Holmvang L, Hochholzer W, Roden DM, Winter S, Altman RB, Alexopoulos D, Kim HS, Gawaz M, Bliden KP, Valgimigli M, Marcucci R, Campo G, Schaeffeler E, Dridi NP, Wen MS, Shin JG, Fontana P, Giusti B, Geisler T, Kubo M, Trenk D, Siller-Matula JM, Ten Berg JM, Gurbel PA, Schwab M, Klein TE, Shuldiner AR. Pharmacogenomic polygenic response score predicts ischaemic events and cardiovascular mortality in clopidogrel-treated patients. EUROPEAN HEART JOURNAL. CARDIOVASCULAR PHARMACOTHERAPY 2020; 6:203-210. [PMID: 31504375 DOI: 10.1093/ehjcvp/pvz045] [Citation(s) in RCA: 65] [Impact Index Per Article: 16.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/23/2019] [Revised: 08/15/2019] [Accepted: 08/29/2019] [Indexed: 01/23/2023]
Abstract
AIMS Clopidogrel is prescribed for the prevention of atherothrombotic events. While investigations have identified genetic determinants of inter-individual variability in on-treatment platelet inhibition (e.g. CYP2C19*2), evidence that these variants have clinical utility to predict major adverse cardiovascular events (CVEs) remains controversial. METHODS AND RESULTS We assessed the impact of 31 candidate gene polymorphisms on adenosine diphosphate (ADP)-stimulated platelet reactivity in 3391 clopidogrel-treated coronary artery disease patients of the International Clopidogrel Pharmacogenomics Consortium (ICPC). The influence of these polymorphisms on CVEs was tested in 2134 ICPC patients (N = 129 events) in whom clinical event data were available. Several variants were associated with on-treatment ADP-stimulated platelet reactivity (CYP2C19*2, P = 8.8 × 10-54; CES1 G143E, P = 1.3 × 10-16; CYP2C19*17, P = 9.5 × 10-10; CYP2B6 1294 + 53 C > T, P = 3.0 × 10-4; CYP2B6 516 G > T, P = 1.0 × 10-3; CYP2C9*2, P = 1.2 × 10-3; and CYP2C9*3, P = 1.5 × 10-3). While no individual variant was associated with CVEs, generation of a pharmacogenomic polygenic response score (PgxRS) revealed that patients who carried a greater number of alleles that associated with increased on-treatment platelet reactivity were more likely to experience CVEs (β = 0.17, SE 0.06, P = 0.01) and cardiovascular-related death (β = 0.43, SE 0.16, P = 0.007). Patients who carried eight or more risk alleles were significantly more likely to experience CVEs [odds ratio (OR) = 1.78, 95% confidence interval (CI) 1.14-2.76, P = 0.01] and cardiovascular death (OR = 4.39, 95% CI 1.35-14.27, P = 0.01) compared to patients who carried six or fewer of these alleles. CONCLUSION Several polymorphisms impact clopidogrel response and PgxRS is a predictor of cardiovascular outcomes. Additional investigations that identify novel determinants of clopidogrel response and validating polygenic models may facilitate future precision medicine strategies.
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Affiliation(s)
- Joshua P Lewis
- Department of Medicine and Program for Personalized and Genomic Medicine, University of Maryland, 670 W. Baltimore St., Baltimore, MD 21201, USA
| | - Joshua D Backman
- Department of Medicine and Program for Personalized and Genomic Medicine, University of Maryland, 670 W. Baltimore St., Baltimore, MD 21201, USA
| | - Jean-Luc Reny
- Department of Internal Medicine, Béziers Hospital, 2 Rue Valentin Hau, BP 740, Béziers 34525, France.,Department of Medicine, Geneva Platelet Group, University of Geneva School of Medicine, University Hospitals of Geneva, 24 rue du Général-Dufour, Genève 4 CH-1211, Switzerland
| | - Thomas O Bergmeijer
- Department of Cardiology, Antonius Center for Platelet Function Research, St Antonius Hospital, P O Box 2500, Nieuwegein 3432 EM, The Netherlands
| | - Braxton D Mitchell
- Department of Medicine and Program for Personalized and Genomic Medicine, University of Maryland, 670 W. Baltimore St., Baltimore, MD 21201, USA.,Geriatrics Research and Education Clinical Center, Baltimore Veterans Administration Medical Center, 10 N. Greene St., Baltimore, MD 21201, USA
| | - Marylyn D Ritchie
- Center for Translational Bioinformatics, Institute for Biomedical Informatics, University of Pennsylvania, A301 Richards Building, 3700 Hamilton Walk, Philadelphia, PA 19104, USA
| | - Jean-Pierre Déry
- Quebec Heart and Lung Institute, University Laval, 2725 chemin Sainte-Foy, Quebec City G1V 4G5, Canada
| | - Ruth E Pakyz
- Department of Medicine and Program for Personalized and Genomic Medicine, University of Maryland, 670 W. Baltimore St., Baltimore, MD 21201, USA
| | - Li Gong
- Department of Biomedical Data Science, Stanford University, 443 Via Ortega, Room 213, Stanford, CA 94305, USA
| | - Kathleen Ryan
- Department of Medicine and Program for Personalized and Genomic Medicine, University of Maryland, 670 W. Baltimore St., Baltimore, MD 21201, USA
| | - Eun-Young Kim
- Department of Clinical Pharmacology, Inje University, Busan Paik Hospital, Bokji-ro 75, Busangjin-gu, Busan 614-735, South Korea
| | - Daniel Aradi
- Department of Cardiology, Heart Center Balatonfüred, 2 Gyogy Ter, Balatonfured 8230, Hungary
| | - Israel Fernandez-Cadenas
- Stroke Pharmacogenomics and Genetic Group, Fundació Docencia i Recerca Mutuaterrassa, 508221 Terrassa, Barcelona 8041, Spain.,Department of Neurology, Vall d'Hebron Institute of Research, Passeig Vall d'Hebron, Barcelona 8035, Spain
| | - Ming Ta Michael Lee
- Genomic Medicine Institute, Geisinger Health System, 100 N. Academy Ave., Danville, PA 17822, USA
| | - Ryan M Whaley
- Department of Biomedical Data Science, Stanford University, 443 Via Ortega, Room 213, Stanford, CA 94305, USA
| | - Joan Montaner
- Neurovascular Research Laboratory, Vall d'Hebron Institute of Research, Passeig Vall d'Hebron 119-129, Barcelona 8035, Spain
| | - Gian Franco Gensini
- Department of Experimental and Clinical Medicine, University of Florence, Largo Brambilla, Florence 50055, Italy
| | - John H Cleator
- Division of Cardiology, Vanderbilt University Medical Center, 2215B Garland Avenue, Nashville, TN 37232, USA.,Department of Pharmacology, Vanderbilt University Medical Center, 2215B Garland Avenue, Nashville, TN 37232, USA
| | - Kiyuk Chang
- Department of Internal Medicine, Cardiology Division, Seoul St. Mary's Hospital, The Catholic University of Korea, 222 Banpo-daero, Seocho-Gu, Seoul 6591, South Korea
| | - Lene Holmvang
- Department of Cardiology, Rigshospitalet, Copenhagen University Hospital, Inge Lehmannsvej 7 - 2142, Copenhagen 2100, Denmark
| | - Willibald Hochholzer
- Department of Cardiology and Angiology II, University Heart Center Freiburg, Suedring 15, Bad Krozingen 79189, Germany
| | - Dan M Roden
- Department of Pharmacology, Vanderbilt University Medical Center, 2215B Garland Avenue, Nashville, TN 37232, USA.,Department of Medicine, Vanderbilt University Medical Center, 2215B Garland Avenue, Nashville, TN 37232, USA.,Department of Biomedical Informatics, Vanderbilt University Medical Center, 2215B Garland Avenue, Nashville, TN 37232, USA
| | - Stefan Winter
- Dr Margarete Fischer-Bosch Institute of Clinical Pharmacology, Auerbachstrasse 112, Stuttgart, 70376 Germany
| | - Russ B Altman
- Department of Bioengineering, Genetics, and Medicine, Stanford University, 443 Via Ortega Drive, Shriram Room 209, Stanford, CA 94305, USA
| | | | - Ho-Sook Kim
- Department of Clinical Pharmacology, Inje University, Busan Paik Hospital, Gaegum2-dong 622-165, Busanjin-Gu, Busan 614-735, South Korea
| | - Meinrad Gawaz
- Department of Cardiology and Angiology, University of Tübingen, Otfired-Müller-Straße 10, Tübingen 72076, Germany
| | - Kevin P Bliden
- Center for Thrombosis Research and Drug Development, Inova Heart and Vascular Institute, 3300 Gallows Rd, Falls Church, VA 22042, USA
| | - Marco Valgimigli
- Department of Cardiology, Bern University Hospital, Freiburgstrasse 8, Bern 3010, Switzerland
| | - Rossella Marcucci
- Department of Experimental and Clinical Medicine, University of Florence, Largo Brambilla, Florence 50055, Italy.,Atherothrombotic Diseases Center, Careggi University Hospital, Largo G. Alessandro Brambilla, Florence 50134, Italy
| | - Gianluca Campo
- Department of Cardiology, University Hospital of Ferrara, Via Aldo Moro 8, Cona (FE), Ferrara 44123, Italy.,GVM Care & Research, Maria Cecilia Hospital, Via Madonna di Genova, 1, Cotignola 48033, Italy
| | - Elke Schaeffeler
- Dr Margarete Fischer-Bosch Institute of Clinical Pharmacology, Auerbachstrasse 112, Stuttgart, 70376 Germany
| | - Nadia P Dridi
- Department of Cardiology, Rigshospitalet, Copenhagen University Hospital, Inge Lehmannsvej 7 - 2142, Copenhagen 2100, Denmark
| | - Ming-Shien Wen
- Division of Cardiology, Department of Internal Medicine, Chang Gung Memorial Hospital, Linkou and School of Medicine, Chang Gung University, No. 5, Fuxing St, Guishan Dist., Taoyuan City 333, Taiwan
| | - Jae Gook Shin
- Department of Clinical Pharmacology, Inje University, Busan Paik Hospital, Gaegum2-dong 622-165, Busanjin-Gu, Busan 614-735, South Korea
| | - Pierre Fontana
- Department of Medicine, Geneva Platelet Group, University of Geneva School of Medicine, University Hospitals of Geneva, 24 rue du Général-Dufour, Genève 4 CH-1211, Switzerland.,Division of Angiology and Haemostasis, University Hospitals of Geneva, 24 Rue Gabrielle-Perret-Gentil, Geneva 1205, Switzerland
| | - Betti Giusti
- Department of Experimental and Clinical Medicine, University of Florence, Largo Brambilla, Florence 50055, Italy.,Atherothrombotic Diseases Center, Careggi University Hospital, Largo G. Alessandro Brambilla, Florence 50134, Italy
| | - Tobias Geisler
- Department of Cardiology and Angiology, University of Tübingen, Otfired-Müller-Straße 10, Tübingen 72076, Germany
| | - Michiaki Kubo
- Laboratory for Genotyping Development, RIKEN Center for Integrative Medical Sciences, 1-7-22, Suehiro-cho, Tsurumi, Yokohama 230-0045, Japan
| | - Dietmar Trenk
- Department of Cardiology and Angiology II, Clinical Pharmacology, University Heart Centre Freiburg, Suedring 15, Bad Krozingen D-79189, Germany
| | - Jolanta M Siller-Matula
- Department of Cardiology, Medical University of Vienna, Waehringer Guertel 18-20, Vienna 1090, Austria
| | - Jurriën M Ten Berg
- Department of Cardiology, Antonius Center for Platelet Function Research, St Antonius Hospital, P O Box 2500, Nieuwegein 3432 EM, The Netherlands
| | - Paul A Gurbel
- Department of Cardiology and Angiology, University of Tübingen, Otfired-Müller-Straße 10, Tübingen 72076, Germany
| | - Matthias Schwab
- Dr Margarete Fischer-Bosch Institute of Clinical Pharmacology, Auerbachstrasse 112, Stuttgart, 70376 Germany.,Department of Clinical Pharmacology, University of Tuebingen, Otfried-Mueller-Strasse 10, Tuebingen 72076, Germany.,Department of Pharmacy and Biochemistry, University of Tuebingen, Otfried-Mueller-Strasse 10, Tuebingen 72076, Germany
| | - Teri E Klein
- Department of Biomedical Data Science, Stanford University, 443 Via Ortega, Room 213, Stanford, CA 94305, USA.,Department of Bioengineering, Genetics, and Medicine, Stanford University, 443 Via Ortega Drive, Shriram Room 209, Stanford, CA 94305, USA
| | - Alan R Shuldiner
- Department of Medicine and Program for Personalized and Genomic Medicine, University of Maryland, 670 W. Baltimore St., Baltimore, MD 21201, USA
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Han L, Chen C, Lu X, Song Y, Zhang Z, Zeng C, Chiu R, Li L, Xu M, He C, Zhang W, Duan S. Alterations of 5-hydroxymethylcytosines in circulating cell-free DNA reflect retinopathy in type 2 diabetes. Genomics 2020; 113:79-87. [PMID: 33221518 DOI: 10.1016/j.ygeno.2020.11.014] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2020] [Revised: 10/31/2020] [Accepted: 11/16/2020] [Indexed: 11/25/2022]
Abstract
Diabetic retinopathy (DR) is a common microvascular complication that may cause severe visual impairment and blindness in patients with type 2 diabetes mellitus (T2DM). Early detection of DR will expand the range of potential treatment options and enable better control of disease progression. Epigenetic dysregulation has been implicated in the pathogenesis of microvascular complications in patients with T2DM. We sought to explore the diagnostic value of 5-hydroxymethylcytosines (5hmC) in circulating cell-free DNA (cfDNA) for DR, taking advantage of a highly sensitive technique, the 5hmC-Seal. The genome-wide 5hmC profiles in cfDNA samples from 35 patients diagnosed with DR and 35 age-, gender-, diabetic duration-matched T2DM controls were obtained using the 5hmC-Seal, followed by a case-control analysis and external validation. The genomic distribution of 5hmC in cfDNA from patients with DR reflected potential gene regulatory relevance, showing co-localization with histone modification marks for active expression (e.g., H3K4me1). A three-gene signature (MESP1, LY6G6D, LINC01556) associated with DR was detected using the elastic net regularization on the multivariable logistic regression model, showing high accuracy to distinguish patients with DR from T2DM controls (AUC [area under curve] = 91.4%; 95% CI [confidence interval], 84.3- 98.5%), achieving a sensitivity of 88.6% and a specificity of 91.4%. In an external testing set, the 5hmC model detected 5 out of 6 DR patients and predicted 7 out of 8 non-DR patients with other microvascular complications. Circulating cfDNA from patients with DR contained 5hmC information that could be exploited for DR detection. As a novel non-invasive approach, the 5hmC-Seal holds the promise to be an integrated part of patient care and surveillance tool for T2DM patients.
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Affiliation(s)
- Liyuan Han
- Hwa Mei Hospital, University of Chinese Academy of Sciences, Ningbo, Zhejiang, China; Department of Global Health, Ningbo Institute of Life and Health Industry, University of Chinese Academy of Sciences, Ningbo, Zhejiang, China
| | - Chang Chen
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Xingyu Lu
- Shanghai Epican Genetech Co., Ltd., Shanghai, China
| | - Yanqun Song
- Shanghai Epican Genetech Co., Ltd., Shanghai, China
| | - Zhou Zhang
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Chang Zeng
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Rudyard Chiu
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Li Li
- Department of Endocrinology and Metabolism, Ningbo First Hospital, Ningbo, Zhejiang, China
| | - Miao Xu
- Department of Endocrinology and Metabolism, Ningbo First Hospital, Ningbo, Zhejiang, China
| | - Chuan He
- Department of Chemistry; Department of Biochemistry and Molecular Biology; Institute for Biophysical Dynamics; and the Howard Hughes Medical Institute, The University of Chicago, Chicago, IL, USA
| | - Wei Zhang
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA; Insititute of Precision Medicine, Jining Medical University, Jining, Shandong, China.
| | - Shiwei Duan
- Zhejiang Provincial Key Laboratory of Pathophysiology, School of Medicine, Ningbo University, Ningbo, Zhejiang, China.
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49
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Ferreira M, Freitas-Silva M, Assis J, Pinto R, Nunes JP, Medeiros R. The emergent phenomenon of aspirin resistance: insights from genetic association studies. Pharmacogenomics 2020; 21:125-140. [PMID: 31957546 DOI: 10.2217/pgs-2019-0133] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Abstract
Despite the clinical benefits of aspirin, the interindividual variation in response to this antiplatelet drug is considerable. The manifestation of aspirin resistance (AR) is frequently observed, although this complex process remains poorly understood. While AR etiology is likely to be multifactorial, genetic factors appear to be preponderant. According to several genetic association studies, both genome-wide and candidate gene studies, numerous SNPs in cyclooxygenase, thromboxane and platelet receptors-related genes have been identified as capable of negatively affecting aspirin action. Thus, it is essential to understand the clinical relevance of AR-related SNPs as potential predictive and prognostic biomarkers as they may be essential to defining the AR phenotype.
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Affiliation(s)
- Márcia Ferreira
- Molecular Oncology & Viral Pathology Group-Research Center, Portuguese Institute of Oncology, Edifício Laboratórios, 4º piso, Rua Dr António Bernardino de Almeida, 4200-4072 Porto, Portugal.,ICBAS, Abel Salazar Institute for the Biomedical Sciences, Rua de Jorge Viterbo Ferreira, 228, 4050-313 Porto, Portugal
| | - Margarida Freitas-Silva
- FMUP, Faculty of Medicine, Porto University, & Department of Medicine, Centro Hospitalar São João, Porto, Portugal, Alameda Prof Hernâni Monteiro, 4200-319 Porto, Portugal
| | - Joana Assis
- Molecular Oncology & Viral Pathology Group-Research Center, Portuguese Institute of Oncology, Edifício Laboratórios, 4º piso, Rua Dr António Bernardino de Almeida, 4200-4072 Porto, Portugal.,FMUP, Faculty of Medicine, Porto University, & Department of Medicine, Centro Hospitalar São João, Porto, Portugal, Alameda Prof Hernâni Monteiro, 4200-319 Porto, Portugal
| | - Ricardo Pinto
- Molecular Oncology & Viral Pathology Group-Research Center, Portuguese Institute of Oncology, Edifício Laboratórios, 4º piso, Rua Dr António Bernardino de Almeida, 4200-4072 Porto, Portugal
| | - José P Nunes
- FMUP, Faculty of Medicine, Porto University, & Department of Medicine, Centro Hospitalar São João, Porto, Portugal, Alameda Prof Hernâni Monteiro, 4200-319 Porto, Portugal
| | - Rui Medeiros
- Molecular Oncology & Viral Pathology Group-Research Center, Portuguese Institute of Oncology, Edifício Laboratórios, 4º piso, Rua Dr António Bernardino de Almeida, 4200-4072 Porto, Portugal.,FMUP, Faculty of Medicine, Porto University, & Department of Medicine, Centro Hospitalar São João, Porto, Portugal, Alameda Prof Hernâni Monteiro, 4200-319 Porto, Portugal.,Biomedical Research Center, Faculty of Health Sciences, Fernando Pessoa University, Praça 9 de Abril, 349, 4249-004 Porto, Portugal.,Department of Research, Portuguese League Against Cancer (NRNorte), Estrada Interior da Circunvalação, 6657, 4200-172 Porto, Portugal
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50
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K. Poddar M, Banerjee S. Molecular Aspects of Pathophysiology of Platelet Receptors. Platelets 2020. [DOI: 10.5772/intechopen.92856] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
Receptor is a dynamic instrumental surface protein that helps to interact with specific molecules to respond accordingly. Platelet is the smallest in size among the blood components, but it plays many pivotal roles to maintain hemostasis involving its surface receptors. It (platelet) has cell adhesion receptors (e.g., integrins and glycoproteins), leucine-rich repeats receptors (e.g., TLRs, glycoprotein complex, and MMPs), selectins (e.g., CLEC, P-selectin, and CD), tetraspanins (e.g., CD and LAMP), transmembrane receptors (e.g., purinergic—P2Y and P2X1), prostaglandin receptors (e.g., TxA2, PGH2, and PGI2), immunoglobulin superfamily receptors (e.g., FcRγ and FcεR), etc. on its surface. The platelet receptors (e.g., glycoproteins, protease-activated receptors, and GPCRs) during platelet activation are over expressed and their granule contents are secreted (including neurotransmitters, cytokines, and chemokines) into circulation, which are found to be correlated with different physiological conditions. Interestingly, platelets promote metastasis through circulation protecting from cytolysis and endogenous immune surveillance involving several platelets receptors. The updated knowledge about different types of platelet receptors in all probable aspects, including their inter- and intra-signaling mechanisms, are discussed with respect to not only its (platelets) receptor type but also under different pathophysiological conditions.
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