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Liu C, Hou J, Li W, Chen J, Li Y, Zhang J, Zhou W, Zhang W, Deng F, Wang Y, Chen L, Qin S, Meng X, Lu S. Construction and optimization of a polygenic risk model for venous thromboembolism in the Chinese population. J Vasc Surg Venous Lymphat Disord 2024; 12:101666. [PMID: 37619711 DOI: 10.1016/j.jvsv.2023.08.007] [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: 03/15/2023] [Revised: 08/06/2023] [Accepted: 08/12/2023] [Indexed: 08/26/2023]
Abstract
BACKGROUND Venous thromboembolism (VTE) has both environmental and genetic risk factors. It is regulated by polygenes and multisites. The polygenic risk score (PRS) has been widely used because any single genetic biomarker failed to accurately predict the genetic risk of VTE. However, no polygenic risk model has been proposed for VTE in the Chinese population. Thus, we aimed to construct a PRS model for the first episode of VTE in the Chinese population. METHODS First, single nucleotide polymorphisms (SNPs) associated with VTE in genome-wide association studies, meta-analyses, and candidate gene studies were screened as variables for the PRS. The logarithm of the odds ratio was used to weight the variables. Second, a training set with simulated data from 1000 cases of VTE and 1000 controls was created with different genotypes and frequencies. Finally, we calculated the area under the receiver operating characteristic curve (AUC) to evaluate the discriminatory ability of the PRS model. RESULTS We screened 53 SNPs potentially associated with the first episode of VTE in the Chinese population. The AUC of the PRS-53 model (containing 53 SNPs) was 0.748 (95% confidence interval, 0.727-0.770) in the training set. From the largest weight to the smallest weight, SNPs were incrementally added to the model to calculate the AUC for model optimization. The AUC of the PRS-10 model (containing 10 SNPs) was 0.718 (95% confidence interval, 0.696-0.740), with no statistically significant difference from the AUC for the PRS-53 model. CONCLUSIONS The PRS-10 and PRS-53 models showed similar predictive abilities and satisfactory discriminatory power and can be used to predict the genetic risk of the first episode of VTE in the Chinese population. The simplified PRS-10 model is more efficient in clinical practice.
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Affiliation(s)
- Chao Liu
- Department of Vascular Surgery, The First Affiliated Hospital of Xi'an JiaoTong University, Xi'an, People's Republic of China
| | - Jiaxuan Hou
- Department of Vascular Surgery, The First Affiliated Hospital of Xi'an JiaoTong University, Xi'an, People's Republic of China
| | - Weiming Li
- Department of Vascular Surgery, The First Affiliated Hospital of Xi'an JiaoTong University, Xi'an, People's Republic of China
| | - Jinxing Chen
- Department of Vascular Surgery, The First Affiliated Hospital of Xi'an JiaoTong University, Xi'an, People's Republic of China
| | - Yane Li
- Department of Vascular Surgery, The First Affiliated Hospital of Xi'an JiaoTong University, Xi'an, People's Republic of China
| | - Jiawei Zhang
- Department of Vascular Surgery, The First Affiliated Hospital of Xi'an JiaoTong University, Xi'an, People's Republic of China
| | - Wei Zhou
- Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), Bio-X Institutes, Shanghai Jiao Tong University, Shanghai, People's Republic of China
| | - Wei Zhang
- Xi'an Agen Medicine Technology Co, Ltd, Xi'an, People's Republic of China
| | - Fenni Deng
- Xi'an Agen Medicine Technology Co, Ltd, Xi'an, People's Republic of China
| | - Yu Wang
- Xi'an Agen Medicine Technology Co, Ltd, Xi'an, People's Republic of China
| | - Luan Chen
- Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), Bio-X Institutes, Shanghai Jiao Tong University, Shanghai, People's Republic of China
| | - Shengying Qin
- Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), Bio-X Institutes, Shanghai Jiao Tong University, Shanghai, People's Republic of China
| | - Xiaohong Meng
- Xi'an Agen Medicine Technology Co, Ltd, Xi'an, People's Republic of China
| | - Shaoying Lu
- Department of Vascular Surgery, The First Affiliated Hospital of Xi'an JiaoTong University, Xi'an, People's Republic of China.
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Lunghi B, Ziliotto N, Balestra D, Rossi L, Della Valle P, Pignatelli P, Pinotti M, D’Angelo A, Marchetti G, Bernardi F. Whole-Exome Sequencing in a Family with an Unexplained Tendency for Venous Thromboembolism: Multicomponent Prediction of Low-Frequency Variant Deleteriousness and of Individual Protein Interaction. Int J Mol Sci 2023; 24:13809. [PMID: 37762110 PMCID: PMC10530467 DOI: 10.3390/ijms241813809] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2023] [Revised: 09/01/2023] [Accepted: 09/05/2023] [Indexed: 09/29/2023] Open
Abstract
Whole-exome sequencing (WES) in families with an unexplained tendency for venous thromboembolism (VTE) may favor detection of low-frequency variants in genes with known contribution to hemostasis or associated with VTE-related phenotypes. WES analysis in six family members, three of whom affected by documented VTE, filtered for MAF < 0.04 in 192 candidate genes, revealed 22 heterozygous (16 missense and six synonymous) variants in patients. Functional prediction by multi-component bioinformatics tools, implemented by a database/literature search, including ClinVar annotation and QTL analysis, prioritized 12 missense variants, three of which (CRP Leu61Pro, F2 Asn514Lys and NQO1 Arg139Trp) were present in all patients, and the frequent functional variants FGB Arg478Lys and IL1A Ala114Ser. Combinations of prioritized variants in each patient were used to infer functional protein interactions. Different interaction patterns, supported by high-quality evidence, included eight proteins intertwined in the "acute phase" (CRP, F2, SERPINA1 and IL1A) and/or in the "fibrinogen complex" (CRP, F2, PLAT, THBS1, VWF and FGB) significantly enriched terms. In a wide group of candidate genes, this approach highlighted six low-frequency variants (CRP Leu61Pro, F2 Asn514Lys, SERPINA1 Arg63Cys, THBS1 Asp901Glu, VWF Arg1399His and PLAT Arg164Trp), five of which were top ranked for predicted deleteriousness, which in different combinations may contribute to disease susceptibility in members of this family.
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Affiliation(s)
- Barbara Lunghi
- Department of Life Sciences and Biotechnology, University of Ferrara, 44121 Ferrara, Italy; (B.L.); (D.B.); (L.R.); (M.P.)
| | - Nicole Ziliotto
- Department of Pharmacy, University of Pisa, 56126 Pisa, Italy;
| | - Dario Balestra
- Department of Life Sciences and Biotechnology, University of Ferrara, 44121 Ferrara, Italy; (B.L.); (D.B.); (L.R.); (M.P.)
| | - Lucrezia Rossi
- Department of Life Sciences and Biotechnology, University of Ferrara, 44121 Ferrara, Italy; (B.L.); (D.B.); (L.R.); (M.P.)
| | - Patrizia Della Valle
- Unit of Coagulation Service and Thrombosis Research, IRCCS San Raffaele Hospital, 20132 Milan, Italy; (P.D.V.); (A.D.)
| | - Pasquale Pignatelli
- Department of Clinical Internal, Anesthesiological, and Cardiovascular Sciences, Sapienza University of Rome, 00185 Rome, Italy;
| | - Mirko Pinotti
- Department of Life Sciences and Biotechnology, University of Ferrara, 44121 Ferrara, Italy; (B.L.); (D.B.); (L.R.); (M.P.)
| | - Armando D’Angelo
- Unit of Coagulation Service and Thrombosis Research, IRCCS San Raffaele Hospital, 20132 Milan, Italy; (P.D.V.); (A.D.)
| | - Giovanna Marchetti
- Department of Neuroscience and Rehabilitation, University of Ferrara, 44121 Ferrara, Italy;
| | - Francesco Bernardi
- Department of Life Sciences and Biotechnology, University of Ferrara, 44121 Ferrara, Italy; (B.L.); (D.B.); (L.R.); (M.P.)
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Alquraan KM, Khabour OF. Investigation of the association of the RAN (rs14035) and XPO5 (rs11077) polymorphisms with venous thromboembolism. ROMANIAN JOURNAL OF INTERNAL MEDICINE = REVUE ROUMAINE DE MEDECINE INTERNE 2023; 61:154-162. [PMID: 37311119 DOI: 10.2478/rjim-2023-0014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/06/2023] [Indexed: 06/15/2023]
Abstract
INTRODUCTION Venous thromboembolism (VTE) is the third most common hemostatic disease worldwide. Studies have reported a role for microRNA (miRNA) in the homeostasis and development of VTE. The ras-related nuclear protein (RAN) and exportin 5 (XPO5) genes are involved in miRNA biogenesis, as both regulate the transport of pre-miRNA from the nucleus to the cytoplasm. Therefore, the aim of the current study is to examine the association between RAN (rs14035) and XPO5 (rs11077) single nucleotide polymorphisms (SNPs) and VTE. METHODS The study sample consisted of 300 subjects (150 patients and 150 age and sex matched controls). The polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) and tetra-primer amplification refractory mutation system (T-ARMS) techniques were used to genotype rs14035 and rs11077, respectively. RESULTS The results showed that there was a significant association between the XPO5 rs11077 and the risk of VTE (P < 0.05). Subjects with AC (OR: 2.08, CI:1.26-3.44) and CC (OR: 1.77, CI: 0.88-3.55) genotypes were at increased risk of the developing VTE. Regarding RAN gene, no association was found between rs14035 and VTE (P > 0.05). In addition, no associations were found between XPO5 rs11077 and RAN rs14035 genotypes with blood cell parameters (P > 0.05). As for the demographic characteristics, the results indicated a strong association between family history and body mass index (BMI) with the risk of VTE (P < 0.01). CONCLUSION The XPO5 rs11077, BMI and family history might contribute to the development of VTE in Jordan.
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Affiliation(s)
- Khloud M Alquraan
- 1Department of Medical Laboratory Sciences, Faculty of Applied Medical Sciences, Jordan University of Science and Technology, Irbid 22110, Jordan
| | - Omar F Khabour
- 1Department of Medical Laboratory Sciences, Faculty of Applied Medical Sciences, Jordan University of Science and Technology, Irbid 22110, Jordan
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Zhang Z, Li H, Weng H, Zhou G, Chen H, Yang G, Zhang P, Zhang X, Ji Y, Ying K, Liu B, Xu Q, Tang Y, Zhu G, Liu Z, Xia S, Yang X, Dong L, Zhu L, Zeng M, Yuan Y, Yang Y, Zhang N, Xu X, Pang W, Zhang M, Zhang Y, Zhen K, Wang D, Lei J, Wu S, Shu S, Zhang Y, Zhang S, Gao Q, Huang Q, Deng C, Fu X, Chen G, Duan W, Wan J, Xie W, Zhang P, Wang S, Yang P, Zuo X, Zhai Z, Wang C. Genome-wide association analyses identified novel susceptibility loci for pulmonary embolism among Han Chinese population. BMC Med 2023; 21:153. [PMID: 37076872 PMCID: PMC10116678 DOI: 10.1186/s12916-023-02844-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/04/2022] [Accepted: 03/22/2023] [Indexed: 04/21/2023] Open
Abstract
BACKGROUND A large proportion of pulmonary embolism (PE) heritability remains unexplained, particularly among the East Asian (EAS) population. Our study aims to expand the genetic architecture of PE and reveal more genetic determinants in Han Chinese. METHODS We conducted the first genome-wide association study (GWAS) of PE in Han Chinese, then performed the GWAS meta-analysis based on the discovery and replication stages. To validate the effect of the risk allele, qPCR and Western blotting experiments were used to investigate possible changes in gene expression. Mendelian randomization (MR) analysis was employed to implicate pathogenic mechanisms, and a polygenic risk score (PRS) for PE risk prediction was generated. RESULTS After meta-analysis of the discovery dataset (622 cases, 8853 controls) and replication dataset (646 cases, 8810 controls), GWAS identified 3 independent loci associated with PE, including the reported loci FGG rs2066865 (p-value = 3.81 × 10-14), ABO rs582094 (p-value = 1.16 × 10-10) and newly reported locus FABP2 rs1799883 (p-value = 7.59 × 10-17). Previously reported 10 variants were successfully replicated in our cohort. Functional experiments confirmed that FABP2-A163G(rs1799883) promoted the transcription and protein expression of FABP2. Meanwhile, MR analysis revealed that high LDL-C and TC levels were associated with an increased risk of PE. Individuals with the top 10% of PRS had over a fivefold increased risk for PE compared to the general population. CONCLUSIONS We identified FABP2, related to the transport of long-chain fatty acids, contributing to the risk of PE and provided more evidence for the essential role of metabolic pathways in PE development.
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Affiliation(s)
- Zhu Zhang
- Department of Pulmonary and Critical Care Medicine, China-Japan Friendship Hospital; National Center for Respiratory Medicine; Institute of Respiratory Medicine, Chinese Academy of Medical Sciences; National Clinical Research Center for Respiratory Diseases, Beijing, 100029, China
| | - Haobo Li
- China-Japan Friendship Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College; Department of Pulmonary and Critical Care Medicine, Center of Respiratory Medicine, China-Japan Friendship Hospital; National Center for Respiratory Medicine; Institute of Respiratory Medicine, Chinese Academy of Medical Sciences; National Clinical Research Center for Respiratory Diseases, Beijing, 100029, China
| | - Haoyi Weng
- Shenzhen WeGene Clinical Laboratory; WeGene, Shenzhen Zaozhidao Technology Co. Ltd; Hunan Provincial Key Lab On Bioinformatics, School of Computer Science and Engineering, Central South University, Shenzhen, 518042, China
| | - Geyu Zhou
- Department of Bioinformatics and Biostatistics, SJTU-Yale Joint Center for Biostatistics, College of Life Science and Biotechnology, Shanghai Jiao Tong University, Shanghai, 200240, China
| | - Hong Chen
- Department of Pulmonary and Critical Care Medicine, the First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China
| | - Guoru Yang
- Department of Pulmonary and Critical Care Medicine, Weifang No.2 People's Hospital, Weifang, 261021, China
| | - Ping Zhang
- Department of Pulmonary and Critical Care Medicine, Dongguan People's Hospital, Dongguan, 523059, China
| | - Xiangyan Zhang
- Department of Pulmonary and Critical Care Medicine, Guizhou Provincial People's Hospital, Guiyang, 550002, China
| | - Yingqun Ji
- Department of Pulmonary and Critical Care Medicine, Shanghai East Hospital Affiliated by Tongji University, Shanghai, 200120, China
| | - Kejing Ying
- Department of Respiratory Medicine, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, 310020, China
| | - Bo Liu
- Department of Pulmonary and Critical Care Medicine, Department of Clinical Microbiology, Zibo City Key Laboratory of Respiratory Infection and Clinical Microbiology, Linzi District People's Hospital, Zibo, 255400, China
| | - Qixia Xu
- Department of Pulmonary and Critical Care Medicine, the First Affiliated Hospital of University of Science and Technology of China, Hefei, 230001, China
| | - Yongjun Tang
- Department of Pulmonary and Critical Care Medicine, Xiangya Hospital Central South University, Changsha, 410008, China
| | - Guangfa Zhu
- Department of Pulmonary and Critical Care, Beijing Anzhen Hospital, Capital Medical University, Beijing, 100029, China
| | - Zhihong Liu
- Fuwai Hospital, Chinese Academy of Medical Science; National Center for Cardiovascular Diseases, Beijing, 100037, China
| | - Shuyue Xia
- Department of Pulmonary and Critical Care Medicine, Central Hospital Affiliated to Shenyang Medical College, Shenyang, 110001, China
| | - Xiaohong Yang
- Department of Pulmonary and Critical Care Medicine, People's Hospital of Xinjiang Uygur Autonomous Region, Xinjiang, 830001, China
| | - Lixia Dong
- Department of Pulmonary and Critical Care Medicine, Tianjin Medical University General Hospital, Tianjin, 300050, China
| | - Ling Zhu
- Department of Pulmonary and Critical Care Medicine, Shandong Provincial Hospital, Jinan, 250021, China
| | - Mian Zeng
- Department of Medical Intensive Care Unit, The First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, 510080, China
| | - Yadong Yuan
- Department of Pulmonary and Critical Care Medicine, The Second Hospital of Hebei Medical University, Shijiazhuang, 050004, China
| | - Yuanhua Yang
- Department of Pulmonary and Critical Care Medicine, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, 100026, China
| | - Nuofu Zhang
- State Key Laboratory of Respiratory Disease and National Clinical Research Center for Respiratory Disease, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou Medical University, Guangzhou, 510230, China
| | - Xiaomao Xu
- Department of Pulmonary and Critical Care Medicine, Beijing Hospital, Beijing, 100080, China
| | - Wenyi Pang
- Department of Pulmonary and Critical Care Medicine, Beijing Jishuitan Hospital, Beijing, 100035, China
| | - Meng Zhang
- Department of Pulmonary and Critical Care, Beijing Anzhen Hospital, Capital Medical University, Beijing, 100029, China
| | - Yu Zhang
- China-Japan Friendship Hospital, Capital Medical University; Department of Pulmonary and Critical Care Medicine, Center of Respiratory Medicine, China-Japan Friendship Hospital; National Center for Respiratory Medicine; Institute of Respiratory Medicine, Chinese Academy of Medical Sciences; National Clinical Research Center for Respiratory Diseases, Beijing, 100029, China
| | - Kaiyuan Zhen
- Institute of Clinical Medical Sciences, China-Japan Friendship Hospital; Department of Pulmonary and Critical Care Medicine, Center of Respiratory Medicine, China-Japan Friendship Hospital; National Center for Respiratory Medicine; Institute of Respiratory Medicine, Chinese Academy of Medical Sciences; National Clinical Research Center for Respiratory Diseases, Beijing, 100029, China
| | - Dingyi Wang
- Institute of Clinical Medical Sciences, China-Japan Friendship Hospital; National Center for Respiratory Medicine; Institute of Respiratory Medicine, Chinese Academy of Medical Sciences; National Clinical Research Center for Respiratory Diseases, Beijing, China, 100029
| | - Jieping Lei
- Institute of Clinical Medical Sciences, China-Japan Friendship Hospital; National Center for Respiratory Medicine; Institute of Respiratory Medicine, Chinese Academy of Medical Sciences; National Clinical Research Center for Respiratory Diseases, Beijing, China, 100029
| | - Sinan Wu
- Institute of Clinical Medical Sciences, China-Japan Friendship Hospital; National Center for Respiratory Medicine; Institute of Respiratory Medicine, Chinese Academy of Medical Sciences; National Clinical Research Center for Respiratory Diseases, Beijing, China, 100029
| | - Shi Shu
- Department of Pulmonary and Critical Care Medicine, China-Japan Friendship Hospital; National Center for Respiratory Medicine; Institute of Respiratory Medicine, Chinese Academy of Medical Sciences; National Clinical Research Center for Respiratory Diseases, Beijing, 100029, China
| | - Yunxia Zhang
- Department of Pulmonary and Critical Care Medicine, China-Japan Friendship Hospital; National Center for Respiratory Medicine; Institute of Respiratory Medicine, Chinese Academy of Medical Sciences; National Clinical Research Center for Respiratory Diseases, Beijing, 100029, China
| | - Shuai Zhang
- Department of Pulmonary and Critical Care Medicine, China-Japan Friendship Hospital; National Center for Respiratory Medicine; Institute of Respiratory Medicine, Chinese Academy of Medical Sciences; National Clinical Research Center for Respiratory Diseases, Beijing, 100029, China
| | - Qian Gao
- Department of Pulmonary and Critical Care Medicine, China-Japan Friendship Hospital; National Center for Respiratory Medicine; Institute of Respiratory Medicine, Chinese Academy of Medical Sciences; National Clinical Research Center for Respiratory Diseases, Beijing, 100029, China
| | - Qiang Huang
- Department of Pulmonary and Critical Care Medicine, China-Japan Friendship Hospital; National Center for Respiratory Medicine; Institute of Respiratory Medicine, Chinese Academy of Medical Sciences; National Clinical Research Center for Respiratory Diseases, Beijing, 100029, China
| | - Chao Deng
- Department of Bioinformatics and Biostatistics, SJTU-Yale Joint Center for Biostatistics, College of Life Science and Biotechnology, Shanghai Jiao Tong University, Shanghai, 200240, China
| | - Xi Fu
- Shenzhen WeGene Clinical Laboratory; WeGene, Shenzhen Zaozhidao Technology Co. Ltd; Hunan Provincial Key Lab On Bioinformatics, School of Computer Science and Engineering, Central South University, Shenzhen, 518042, China
| | - Gang Chen
- Shenzhen WeGene Clinical Laboratory; WeGene, Shenzhen Zaozhidao Technology Co. Ltd; Hunan Provincial Key Lab On Bioinformatics, School of Computer Science and Engineering, Central South University, Shenzhen, 518042, China
| | - Wenxin Duan
- Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, 100005, China
| | - Jun Wan
- Department of Pulmonary and Critical Care, Beijing Anzhen Hospital, Capital Medical University, Beijing, 100029, China
| | - Wanmu Xie
- Department of Pulmonary and Critical Care Medicine, China-Japan Friendship Hospital; National Center for Respiratory Medicine; Institute of Respiratory Medicine, Chinese Academy of Medical Sciences; National Clinical Research Center for Respiratory Diseases, Beijing, 100029, China
| | - Peng Zhang
- Beijing Pediatric Research Institute, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing, 100045, China
| | - Shengfeng Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, 100191, China
| | - Peiran Yang
- Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, 100005, China
| | - Xianbo Zuo
- Department of Dermatology, China-Japan Friendship Hospital, Beijing, China; Department of Pharmacy, China-Japan Friendship Hospital, No. 2, East Yinghua Road, Chaoyang District, Beijing, 100029, China.
| | - Zhenguo Zhai
- Department of Pulmonary and Critical Care Medicine, China-Japan Friendship Hospital; National Center for Respiratory Medicine; Institute of Respiratory Medicine, Chinese Academy of Medical Sciences; National Clinical Research Center for Respiratory Diseases, Beijing, 100029, China.
| | - Chen Wang
- Department of Pulmonary and Critical Care Medicine, Center of Respiratory Medicine, China-Japan Friendship Hospital, Beijing, China.
- National Center for Respiratory Medicine, Beijing, China.
- Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, Beijing, China.
- National Clinical Research Center for Respiratory Diseases, Beijing, China.
- Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China.
- Department of Respiratory Medicine, Capital Medical University, Beijing, China.
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Abstract
Venous thromboembolism, that consists of the interrelated conditions deep-vein thrombosis and pulmonary embolism, is an under-appreciated vascular disease. In Western regions, approximately 1 in 12 individuals will be diagnosed with venous thromboembolism in their lifetime. Rates of venous thromboembolism are lower in Asia, but data from other regions are sparse. Numerous risk factors for venous thromboembolism have been identified, which can be classified as acute or subacute triggers (provoking factors that increase the risk of venous thromboembolism) and basal or acquired risk factors (which can be modifiable or static). Approximately 20% of individuals who have a venous thromboembolism event die within 1 year (although often from the provoking condition), and complications are common among survivors. Fortunately, opportunities exist for primordial prevention (prevention of the development of underlying risk factors), primary prevention (management of risk factors among individuals at high risk of the condition) and secondary prevention (prevention of recurrent events) of venous thromboembolism. In this Review, we describe the epidemiology of venous thromboembolism, including the incidence, risk factors, outcomes and opportunities for prevention. Meaningful health disparities exist in both the incidence and outcomes of venous thromboembolism. We also discuss these disparities as well as opportunities to reduce them.
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Affiliation(s)
- Pamela L Lutsey
- Division of Epidemiology & Community Health, School of Public Health, University of Minnesota, Minneapolis, MN, USA.
| | - Neil A Zakai
- Division of Hematology/Oncology, Department of Medicine, Larner College of Medicine, University of Vermont, Burlington, VT, USA
- Department of Pathology and Laboratory Medicine, Larner College of Medicine, University of Vermont, Burlington, VT, USA
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Al Subayyil A, Basmaeil YS, Alenzi R, Khatlani T. Human Placental Mesenchymal Stem/Stromal cells (pMSCs) inhibit agonist-induced platelet functions reducing atherosclerosis and thrombosis phenotypes. J Cell Mol Med 2021; 25:9268-9280. [PMID: 34535958 PMCID: PMC8500971 DOI: 10.1111/jcmm.16848] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2021] [Revised: 07/17/2021] [Accepted: 07/20/2021] [Indexed: 12/21/2022] Open
Abstract
Mesenchymal stem/stromal cells isolated from human term placenta (pMSCs) have potential to treat clinically manifested inflammatory diseases. Atherosclerosis is a chronic inflammatory disease, and platelets play a contributory role towards its pathogenesis. During transplantation, MSCs interact with platelets and exert influence on their functional outcome. In this study, we investigated the consequences of interaction between pMSCs and platelets, and its impact on platelet-mediated atherosclerosis in vitro. Human platelets were treated with various types of pMSCs either directly or with their secretome, and their effect on agonist-mediated platelet activation and functional characteristics were evaluated. Human umbilical vein endothelial cells (HUVECs) were used as control. The impact of pMSCs treatment on platelets was evaluated by the expression of activation markers and by platelet functional analysis. A subset of pMSCs reduced agonist-induced activation of platelets, both via direct contact and with secretome treatments. Decrease in platelet activation translated into diminished spreading, limited adhesion and minimized aggregation. In addition, pMSCs decreased oxidized LDL (ox-LDL)-inducedCD36-mediated platelet activation, establishing their protective role in atherosclerosis. Gene expression and protein analysis show that pMSCs express pro- and anti-thrombotic proteins, which might be responsible for the modulation of agonist-induced platelet functions. These data suggest the therapeutic benefits of pMSCs in atherosclerosis.
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Affiliation(s)
- Abdullah Al Subayyil
- Stem Cells and Regenerative Medicine Department, King Abdullah International Medical Research Center, King Saud bin Abdulaziz University for Health Sciences, King Abdulaziz Medical City, Ministry of National Guard Health Affairs, Riyadh, Saudi Arabia
| | - Yasser S Basmaeil
- Stem Cells and Regenerative Medicine Department, King Abdullah International Medical Research Center, King Saud bin Abdulaziz University for Health Sciences, King Abdulaziz Medical City, Ministry of National Guard Health Affairs, Riyadh, Saudi Arabia
| | - Reem Alenzi
- Stem Cells and Regenerative Medicine Department, King Abdullah International Medical Research Center, King Saud bin Abdulaziz University for Health Sciences, King Abdulaziz Medical City, Ministry of National Guard Health Affairs, Riyadh, Saudi Arabia
| | - Tanvir Khatlani
- Stem Cells and Regenerative Medicine Department, King Abdullah International Medical Research Center, King Saud bin Abdulaziz University for Health Sciences, King Abdulaziz Medical City, Ministry of National Guard Health Affairs, Riyadh, Saudi Arabia
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Abreu SC, Tavares V, Carneiro F, Medeiros R. Venous thromboembolism and prostate cancer: what about genetic markers? Pharmacogenomics 2021; 22:365-373. [PMID: 33749329 DOI: 10.2217/pgs-2020-0094] [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: 12/24/2022] Open
Abstract
Aim & methods: To review the existing literature concerning the relationship between venous thromboembolism (VTE) and prostate cancer (PC) and explore the putative biological and clinical implications of VTE genetic markers on PC patients by screening the PubMed database. Results: Considering the roles of VTE genome-wide association studies-identified genetic determinants in disease development in the general population, these variants might also underlie the susceptibility for PC-related VTE. Therefore, they could help to identify those with a positive benefit-to-harm ratio for thromboprophylaxis approaches during cancer therapy management, thereby improving patient's prognosis. Conclusion: Future studies are mandatory to explore the relationship between VTE and PC and dissect the predictive value of VTE genome-wide association studies-identified genetic determinants in PC patients, given their clinical implications.
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Affiliation(s)
- Sofia Coelho Abreu
- Oncology Department, Portuguese Institute of Oncology, Porto, 4200 072, Portugal
| | - Valéria Tavares
- Molecular Oncology & Viral Pathology Group, Research Center of Portuguese Institute of Oncology, Porto, 4200 072, Portugal.,Research Department, Portuguese League Against Cancer of Northern Region, Porto, 4200 172, Portugal
| | - Filipa Carneiro
- Oncology Department, Portuguese Institute of Oncology, Porto, 4200 072, Portugal
| | - Rui Medeiros
- Molecular Oncology & Viral Pathology Group, Research Center of Portuguese Institute of Oncology, Porto, 4200 072, Portugal.,Research Department, Portuguese League Against Cancer of Northern Region, Porto, 4200 172, Portugal.,Faculty of Health Sciences, CEBIMED, Fernando Pessoa University, Porto, 4200 150, Portugal
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Ramlall V, Thangaraj PM, Meydan C, Foox J, Butler D, Kim J, May B, De Freitas JK, Glicksberg BS, Mason CE, Tatonetti NP, Shapira SD. Immune complement and coagulation dysfunction in adverse outcomes of SARS-CoV-2 infection. Nat Med 2020; 26:1609-1615. [PMID: 32747830 PMCID: PMC7809634 DOI: 10.1038/s41591-020-1021-2] [Citation(s) in RCA: 223] [Impact Index Per Article: 55.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2020] [Accepted: 07/16/2020] [Indexed: 11/08/2022]
Abstract
Understanding the pathophysiology of SARS-CoV-2 infection is critical for therapeutic and public health strategies. Viral-host interactions can guide discovery of disease regulators, and protein structure function analysis points to several immune pathways, including complement and coagulation, as targets of coronaviruses. To determine whether conditions associated with dysregulated complement or coagulation systems impact disease, we performed a retrospective observational study and found that history of macular degeneration (a proxy for complement-activation disorders) and history of coagulation disorders (thrombocytopenia, thrombosis and hemorrhage) are risk factors for SARS-CoV-2-associated morbidity and mortality-effects that are independent of age, sex or history of smoking. Transcriptional profiling of nasopharyngeal swabs demonstrated that in addition to type-I interferon and interleukin-6-dependent inflammatory responses, infection results in robust engagement of the complement and coagulation pathways. Finally, in a candidate-driven genetic association study of severe SARS-CoV-2 disease, we identified putative complement and coagulation-associated loci including missense, eQTL and sQTL variants of critical complement and coagulation regulators. In addition to providing evidence that complement function modulates SARS-CoV-2 infection outcome, the data point to putative transcriptional genetic markers of susceptibility. The results highlight the value of using a multimodal analytical approach to reveal determinants and predictors of immunity, susceptibility and clinical outcome associated with infection.
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Affiliation(s)
- Vijendra Ramlall
- Department of Biomedical Informatics, Columbia University, New York, NY, USA
- Department of Physiology & Cellular Biophysics, Columbia University, New York, NY, USA
| | - Phyllis M Thangaraj
- Department of Biomedical Informatics, Columbia University, New York, NY, USA
- Vagelos College of Physicians and Surgeons, Columbia University, New York, NY, USA
| | - Cem Meydan
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, USA
- Herbert Irving Comprehensive Cancer Center, Columbia University, New York, NY, USA
| | - Jonathan Foox
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, USA
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA
| | - Daniel Butler
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, USA
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA
| | - Jacob Kim
- Department of Systems Biology, Columbia University, New York, NY, USA
| | - Ben May
- Herbert Irving Comprehensive Cancer Center, Columbia University, New York, NY, USA
| | - Jessica K De Freitas
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Hasso Plattner Institute for Digital Health at Mount Sinai, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Benjamin S Glicksberg
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Hasso Plattner Institute for Digital Health at Mount Sinai, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Christopher E Mason
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, USA
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA
- The WorldQuant Initiative for Quantitative Prediction, Weill Cornell Medicine, New York, NY, USA
- The Feil Family Brain and Mind Research Institute, Weill Cornell Medicine, New York, NY, USA
| | - Nicholas P Tatonetti
- Department of Biomedical Informatics, Columbia University, New York, NY, USA.
- Department of Systems Biology, Columbia University, New York, NY, USA.
| | - Sagi D Shapira
- Department of Systems Biology, Columbia University, New York, NY, USA.
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Zöller B, Svensson PJ, Dahlbäck B, Lind-Hallden C, Hallden C, Elf J. Genetic risk factors for venous thromboembolism. Expert Rev Hematol 2020; 13:971-981. [DOI: 10.1080/17474086.2020.1804354] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
Affiliation(s)
- Bengt Zöller
- Center for Primary Health Care Research, Lund University, Malmö, Sweden
| | - Peter J. Svensson
- Center for Thrombosis and Haemostasis, Lund University, Skåne University Hospital, Malmö, Sweden
| | - Björn Dahlbäck
- Department of Translational Medicine, Lund University, Skåne University Hospital, Malmö, Sweden
| | - Christina Lind-Hallden
- Department of Environmental Science and Bioscience, Kristianstad University, Kristianstad, Sweden
| | - Christer Hallden
- Department of Environmental Science and Bioscience, Kristianstad University, Kristianstad, Sweden
| | - Johan Elf
- Center for Thrombosis and Haemostasis, Lund University, Skåne University Hospital, Malmö, Sweden
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