Single-cell RNA sequencing on the vein wall of mouse deep vein thrombosis
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ABSTRACT:
ORGANISM(S): Mus musculus
PROVIDER: GSE221978 | GEO | 2023/02/10
REPOSITORIES: GEO
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Project description:<p><b>Overview:</b><br/> <u>Our overall long-term goal is to determine risk factors for the complex (multifactorial) disease, venous thromboembolism (<b>VTE</b>), that will allow physicians to stratify individual patient risk and target VTE prophylaxis to those who would benefit most.</u> In this genome-wide association case-control study (1300 cases and 1300 controls) we hope to identify susceptibility variants for VTE.</p> <p>Mutations within genes encoding for important components of the anticoagulant, procoagulant, fibrinolytic, and innate immunity pathways are risk factors for VTE. We hypothesize that other genes within these four pathways or within other pathways also are VTE disease-susceptibility genes. Therefore, we performed a genome wide association (GWA) screen and analysis using the Illumina 660W platform to identify SNPs within 1,300 clinic-based, non-cancer VTE cases primarily from Minnesota and the upper Midwest USA, and 1300 clinic-based, unrelated controls frequency-matched on patient age, gender, myocardial infarction/stroke status and state of residence.</p> <p>This is a subset of a slightly larger candidate gene study using 1500 case-control pairs to identify haplotype-tagging SNPs (<b>ht</b>-SNPs) in a large set of candidate genes (n~750) within the anticoagulant, procoagulant, fibrinolytic, and innate immunity pathways.</p> <p><b>Study Populations.</b><br/> <b><u>Cases</u>.</b> VTE cases were consecutive Mayo Clinic outpatients with objectively-diagnosed deep vein thrombosis (DVT) and/or pulmonary embolism (PE) residing in the upper Midwest and referred by Mayo Clinic physician to the Mayo Clinic Special Coagulation Laboratory for clinical diagnostic testing to evaluate for an acquired or inherited thrombophilia, or to the Mayo Clinic Thrombophilia Center. Any person contacted to be a control but discovered to have had a VTE was evaluated for inclusion as a case. Cases were primarily residents from Minnesota, Wisconsin, Iowa, Michigan, Illinois, North or South Dakota, Nebraska, Kansas, Missouri and Indiana. A DVT or PE was categorized as objectively diagnosed when (a) confirmed by venography or pulmonary angiography, or pathology examination of thrombus removed at surgery, or (b) if at least one non-invasive test (compression duplex ultrasonography, lung scan, computed tomography scan, magnetic resonance imaging) was positive. A VTE was defined as: <ol> <li>Proximal leg deep vein thrombosis (DVT), which includes the common iliac, internal iliac, external iliac, common femoral, superficial [now termed "femoral"] femoral, deep femoral [sometimes referred to as "profunda" femoral] and/or popliteal veins. (Note: greater and lesser saphenous veins, or other superficial or perforator veins, were not included as proximal or distal leg DVT).</li> <li>Distal leg DVT (or "isolated calf DVT"), which includes the anterior tibial, posterior tibial and/or peroneal veins. (Note: gastrocnemius, soleal and/or sural [e.g., "deep muscular veins" of the calf] vein thrombosis was not included as distal leg DVT).</li> <li>Arm DVT, which includes the axillary, subclavian and/or innominate (brachiocephalic) veins. (Note: jugular [internal or external], cephalic and brachial vein thrombosis was not included in "arm DVT").</li> <li>Hepatic, portal, splenic, superior or inferior mesenteric, and/or renal vein thrombosis. (Note: ovarian, testicular, peri-prostatic and/or pelvic vein thrombosis was not included).</li> <li>Cerebral vein thrombosis (includes cerebral or dural sinus or vein, saggital sinus or vein, and/or transverse sinus or vein thrombosis).</li> <li>Inferior vena cava (IVC) thrombosis</li> <li>Superior vena cava (SVC) thrombosis</li> <li>Pulmonary embolism</li> </ol> </p> <p>Patients with VTE related to active cancer, antiphospholipid syndrome, inflammatory bowel disease, vasculitis, a rheumatoid or other autoimmune disorder, a vascular anomaly (e.g., Klippel-Trénaunay syndrome, etc.), heparin-induced thrombocytopenia, or a mechanical cause for DVT (e.g., arm DVT or SVC thrombosis related to a central venous catheter or transvenous pacemaker, portal and/or splenic vein thrombosis related to liver cirrhosis, IVC thrombosis related to retroperitoneal fibrosis, etc.), with hemodialysis arteriovenous fistula thrombosis, or with prior liver or bone marrow transplantation were excluded. </p> <p><b><u>Controls</u>.</b> A Mayo Clinic outpatient control group was prospectively recruited for this study. Controls were frequency-matched on the age group (18-29, 30-39, 40-49, 50-59, 60-69, 70-79, and 80+ years), sex, myocardial infarction/stroke status, and state of residence distribution of the cases. We selected clinic-based controls using a controls' database of persons undergoing general medical examinations in the Mayo Clinic Departments of General Internal Medicine or Primary Care Internal Medicine. Additionally persons undergoing evaluation at the Mayo Clinic Sports Medicine Center, and the Department of Family Medicine were screened for inclusion as controls.</p> <p>This study is part of the Gene Environment Association Studies initiative (GENEVA, <a href="http://www.genevastudy.org" target="_blank">http://www.genevastudy.org</a>) funded by the trans-NIH Genes, Environment, and Health Initiative (GEI). The overarching goal is to identify novel genetic factors that contribute to venous thrombosis through large-scale genome-wide association studies of 1,300 clinic-based, VTE cases and 1300 clinic-based, unrelated controls. Genotyping was performed at the Johns Hopkins University Center for Inherited Disease Research (CIDR). Data cleaning and harmonization were done at the GEI-funded GENEVA Coordinating Center at the University of Washington.</p>
| phs000289 | dbGaP
Project description:Single-cell RNA sequencing on the vein wall of mouse deep vein thrombosis
| PRJNA916965 | ENA
Project description:The chemoprophylaxis of deep vein thrombosis (DVT) with subcutaneous low-molecular-weight heparin (enoxaparin) in the postoperative period of elective surgeries is already well established in the literature and in clinical practice. However, the use of this medication can have a financial impact on the patient and the parenteral presentation itself is associated with pain at the application site, which can make it difficult for patients to adhere.
| 2711239 | ecrin-mdr-crc
Project description:Primary outcome(s): Preoperative prevalence of deep vein thrombosis
| 2648762 | ecrin-mdr-crc
Project description:Deep vein thrombosis (DVT) is a leading cause of morbidity and mortality after trauma. Here, we integrate metabolomics and proteomics in up to 680 individuals with and without DVT after trauma (pt-DVT) to reveal the metabolic alterations and their function, and provide potential biomarkers. We carried out a nested case-control study design using a prospective cohort, which enrolled 680 Chinese Han subjects diagnosed with acute traumatic fractures at the Department of Trauma Surgery, Honghui Hospital (Xi’an, China) from October 2018 to October 2022. There were 183 subjects (DVT patients: N=96, Controls: N=87) were used for proteomics analysis.
2024-07-22 | PXD054131 |
Project description:<p><b>Overview:</b><br/> <u>Our overall long-term goal is to determine risk factors for the complex (multifactorial) disease, venous thromboembolism (<b>VTE</b>), that will allow physicians to stratify individual patient risk and target VTE prophylaxis to those who would benefit most.</u> In this genome-wide association case-control study (1300 cases and 1300 controls) we hope to identify susceptibility variants for VTE.</p> <p>Mutations within genes encoding for important components of the anticoagulant, procoagulant, fibrinolytic, and innate immunity pathways are risk factors for VTE. We hypothesize that other genes within these four pathways or within other pathways also are VTE disease-susceptibility genes. Therefore, we performed a genome wide association (GWA) screen and analysis using the Illumina 660W platform to identify SNPs within 1,300 clinic-based, non-cancer VTE cases primarily from Minnesota and the upper Midwest USA, and 1300 clinic-based, unrelated controls frequency-matched on patient age, gender, myocardial infarction/stroke status and state of residence.</p> <p>This is a subset of a slightly larger candidate gene study using 1500 case-control pairs to identify haplotype-tagging SNPs (<b>ht</b>-SNPs) in a large set of candidate genes (n~750) within the anticoagulant, procoagulant, fibrinolytic, and innate immunity pathways.</p> <p><b>Study Populations.</b><br/> <b><u>Cases</u>.</b> VTE cases were consecutive Mayo Clinic outpatients with objectively-diagnosed deep vein thrombosis (DVT) and/or pulmonary embolism (PE) residing in the upper Midwest and referred by Mayo Clinic physician to the Mayo Clinic Special Coagulation Laboratory for clinical diagnostic testing to evaluate for an acquired or inherited thrombophilia, or to the Mayo Clinic Thrombophilia Center. Any person contacted to be a control but discovered to have had a VTE was evaluated for inclusion as a case. Cases were primarily residents from Minnesota, Wisconsin, Iowa, Michigan, Illinois, North or South Dakota, Nebraska, Kansas, Missouri and Indiana. A DVT or PE was categorized as objectively diagnosed when (a) confirmed by venography or pulmonary angiography, or pathology examination of thrombus removed at surgery, or (b) if at least one non-invasive test (compression duplex ultrasonography, lung scan, computed tomography scan, magnetic resonance imaging) was positive. A VTE was defined as: <ol> <li>Proximal leg deep vein thrombosis (DVT), which includes the common iliac, internal iliac, external iliac, common femoral, superficial [now termed "femoral"] femoral, deep femoral [sometimes referred to as "profunda" femoral] and/or popliteal veins. (Note: greater and lesser saphenous veins, or other superficial or perforator veins, were not included as proximal or distal leg DVT).</li> <li>Distal leg DVT (or "isolated calf DVT"), which includes the anterior tibial, posterior tibial and/or peroneal veins. (Note: gastrocnemius, soleal and/or sural [e.g., "deep muscular veins" of the calf] vein thrombosis was not included as distal leg DVT).</li> <li>Arm DVT, which includes the axillary, subclavian and/or innominate (brachiocephalic) veins. (Note: jugular [internal or external], cephalic and brachial vein thrombosis was not included in "arm DVT").</li> <li>Hepatic, portal, splenic, superior or inferior mesenteric, and/or renal vein thrombosis. (Note: ovarian, testicular, peri-prostatic and/or pelvic vein thrombosis was not included).</li> <li>Cerebral vein thrombosis (includes cerebral or dural sinus or vein, saggital sinus or vein, and/or transverse sinus or vein thrombosis).</li> <li>Inferior vena cava (IVC) thrombosis</li> <li>Superior vena cava (SVC) thrombosis</li> <li>Pulmonary embolism</li> </ol> </p> <p>Patients with VTE related to active cancer, antiphospholipid syndrome, inflammatory bowel disease, vasculitis, a rheumatoid or other autoimmune disorder, a vascular anomaly (e.g., Klippel-Trénaunay syndrome, etc.), heparin-induced thrombocytopenia, or a mechanical cause for DVT (e.g., arm DVT or SVC thrombosis related to a central venous catheter or transvenous pacemaker, portal and/or splenic vein thrombosis related to liver cirrhosis, IVC thrombosis related to retroperitoneal fibrosis, etc.), with hemodialysis arteriovenous fistula thrombosis, or with prior liver or bone marrow transplantation were excluded. </p> <p><b><u>Controls</u>.</b> A Mayo Clinic outpatient control group was prospectively recruited for this study. Controls were frequency-matched on the age group (18-29, 30-39, 40-49, 50-59, 60-69, 70-79, and 80+ years), sex, myocardial infarction/stroke status, and state of residence distribution of the cases. We selected clinic-based controls using a controls' database of persons undergoing general medical examinations in the Mayo Clinic Departments of General Internal Medicine or Primary Care Internal Medicine. Additionally persons undergoing evaluation at the Mayo Clinic Sports Medicine Center, and the Department of Family Medicine were screened for inclusion as controls.</p> <p>This study is part of the Gene Environment Association Studies initiative (GENEVA, <a href="http://www.genevastudy.org" target="_blank">http://www.genevastudy.org</a>) funded by the trans-NIH Genes, Environment, and Health Initiative (GEI). The overarching goal is to identify novel genetic factors that contribute to venous thrombosis through large-scale genome-wide association studies of 1,300 clinic-based, VTE cases and 1300 clinic-based, unrelated controls. Genotyping was performed at the Johns Hopkins University Center for Inherited Disease Research (CIDR). Data cleaning and harmonization were done at the GEI-funded GENEVA Coordinating Center at the University of Washington.</p>
| phs000289.v2.p1 | EGA
Project description:Primary outcome(s): Deep vein thrombosis of the lower limbs
Study Design: Sequential
| 39716 | ecrin-mdr-crc
Project description:Purpose: To explore the possible pathogenesis of venous thromboembolism from the perspective of circRNAs. Methods: The thrombus model of inferior vena cava in SD rats was established by stenosis method. Peripheral blood samples of DVT rats were collected at 1h, 6h,12h and 3d, which were sequenced with Illumina circRNAs and mRNA. The differential circRNAs and mRNA were analyzed by STEM analysis software. Clusters that can reflect the evolution of thrombus were selected for in-depth analysis, and circRNAs and mRNA were screened according to the pathway enrichment analysis of the selected clusters. Real time fluorescent quantitative PCR (qPCR) was used to verify and determine the candidate circRNAs and mRNA. The function of target circRNA was verified in DVT rats. The interacting miRNAs of circRNAs and mRNA were predicted by online database respectively. Candidate miRNAs were identified by integrating the related information of miRNAs and verified by qPCR. Results:The SD rat model of deep venous thrombosis was successfully established by the stenosis method. In model group, there were 736, 3691, 3406 and 2639 circRNAs up-regulated and 944, 327, 318 and 397 circRNAs down-regulated at 1h, 6h, 12h and 3d, respectively. Compared with Sham group, 169, 885, 298 and 500 mRNA were up-regulated and 231, 291,75 and 73 mRNA were down-regulated at 1h, 6h, 12h and 3d in model group, respectively. STEM analysis found that cluster 45 was similar to thrombus development. The pathway related to platelet function was selected in cluster 45, and 10 circrRNAs and 4 interacting mRNAs were selected for qPCR verification by combining the gene in platelet pathway and annotation gene of cluster 45 and mRNA-circRNA interaction network. According to qPCR results and whether ID is found in rat circRNA database (CIRCpedia-V2), CBT15_circR_3235 (ID in circpedia-v2: rno_CIRCpedia_1953) is determined as the target circRNA. In vivo，knockdown of rno_CIRCpedia_1953 attenuates the formation of DVT in rats. The potential target miRNAs of rno_CIRCpedia_1953 and Tuba4a were predicted by using online miRDB and miRWalk databases respectively, and rno-miR-3543, rno-miR-320-5p and rno-miR-26b-3p are preliminarily identified as potential target miRNAs that rno_CIRCpedia_1953 may combine to play the ceRNA mechanism. Conclusions: Animal model of DVT in rats was successfully established by stenosis method. High-throughput sequencing analysis of circRNAs showed that circRNAs participated in the evolution of DVT. According to STEM functional analysis of mRNA sequencing, a target circRNA rno_CIRCpedia _1953 was screened, verified and identified. rno_CIRCpedia_1953 may participate in the development of DVT by acting as miRNA molecular sponge.
2023-04-01 | GSE148331 | GEO
Project description:Purpose: To explore the possible pathogenesis of venous thromboembolism from the perspective of circRNAs. Methods: The thrombus model of inferior vena cava in SD rats was established by stenosis method. Peripheral blood samples of DVT rats were collected at 1h, 6h,12h and 3d, which were sequenced with Illumina circRNAs and mRNA. The differential circRNAs and mRNA were analyzed by STEM analysis software. Clusters that can reflect the evolution of thrombus were selected for in-depth analysis, and circRNAs and mRNA were screened according to the pathway enrichment analysis of the selected clusters. Real time fluorescent quantitative PCR (qPCR) was used to verify and determine the candidate circRNAs and mRNA. The function of target circRNA was verified in DVT rats. The interacting miRNAs of circRNAs and mRNA were predicted by online database respectively. Candidate miRNAs were identified by integrating the related information of miRNAs and verified by qPCR. Results:The SD rat model of deep venous thrombosis was successfully established by the stenosis method. In model group, there were 736, 3691, 3406 and 2639 circRNAs up-regulated and 944, 327, 318 and 397 circRNAs down-regulated at 1h, 6h, 12h and 3d, respectively. Compared with Sham group, 169, 885, 298 and 500 mRNA were up-regulated and 231, 291,75 and 73 mRNA were down-regulated at 1h, 6h, 12h and 3d in model group, respectively. STEM analysis found that cluster 45 was similar to thrombus development. The pathway related to platelet function was selected in cluster 45, and 10 circrRNAs and 4 interacting mRNAs were selected for qPCR verification by combining the gene in platelet pathway and annotation gene of cluster 45 and mRNA-circRNA interaction network. According to qPCR results and whether ID is found in rat circRNA database (CIRCpedia-V2), CBT15_circR_3235 (ID in circpedia-v2: rno_CIRCpedia_1953) is determined as the target circRNA. In vivo，knockdown of rno_CIRCpedia_1953 attenuates the formation of DVT in rats. The potential target miRNAs of rno_CIRCpedia_1953 and Tuba4a were predicted by using online miRDB and miRWalk databases respectively, and rno-miR-3543, rno-miR-320-5p and rno-miR-26b-3p are preliminarily identified as potential target miRNAs that rno_CIRCpedia_1953 may combine to play the ceRNA mechanism. Conclusions: Animal model of DVT in rats was successfully established by stenosis method. High-throughput sequencing analysis of circRNAs showed that circRNAs participated in the evolution of DVT. According to STEM functional analysis of mRNA sequencing, a target circRNA rno_CIRCpedia _1953 was screened, verified and identified. rno_CIRCpedia_1953 may participate in the development of DVT by acting as miRNA molecular sponge.
2023-04-01 | GSE148332 | GEO
Project description:Cancer patients often have an activated clotting system and are at increased risk for venous thrombosis. In this study, we analyzed tissue factor (TF) expression in four different human pancreatic tumor cell lines for the purpose of producing derivative tumors in vivo. We found that two of the lines expressed TF and released TF-positive microparticles (MPs) into the culture medium. The majority of TF protein in the culture medium was associated with MPs. Importantly, only TF-positive cell lines activated coagulation in nude mice, and this activation was abolished by an anti-human TF antibody. Of the two TF-positive lines only one produced detectable levels of human MP TF activity in the plasma when grown orthotopically in nude mice. Surprisingly, <5% of human TF protein in plasma from tumor-bearing mice was associated with MPs. Mice with TF-positive tumors and elevated levels of circulating TF-positive MPs had increased thrombosis in a saphenous vein model. In contrast, we observed no difference in thrombus weight between tumor bearing and control mice in an inferior vena cava stenosis model. Our studies suggest that in a xenograft mouse model tumor TF activates coagulation, whereas TF on circulating MPs may trigger venous thrombosis.
2012-07-12 | GSE37575 | GEO