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Factor V Leiden

Factor V Lieden is a genetic mutation that can lead to an increased risk of blood clots (thrombosis).
This condition is caused by a single amino acid substitution in the Factor V protein, which makes it resistant to inactivation by the natural anticoagulant protein C.
Individuals with Factor V Leiden have a higher likelihood of developing deep vein thrombosis, pulmonary embolism, and other thrombotic events.
Accurate identification and characterization of Factor V Leiden is crucial for effective risk assessment and management of thrombotic disorders.
PubCompare.ai, an AI-driven platform, can help optimize Factor V Leiden research by locating relevant protocols from literature, preprints, and patents, while leveraging AI-comparisons to identify the best protocols and products.
This can enhance reproducibily and accuracy in Factor V Leiden studies.

Most cited protocols related to «Factor V Leiden»

In 1987-89, the ARIC Study recruited to a baseline examination a cohort of 15,792 men and women aged 45-64 years, predominantly whites or African Americans, from four U.S. communities (12 (link)). Participants were re-examined in 1990-92 (93% response), 1993-95 (86%) and 1996-98 (80%). Participants in the ARIC Visit 4 examination serve as the cohort for the present analysis.
CRP was measured in 2008 on plasma frozen at −70°C from Visit 4 by the immunoturbidimetric assay using the Siemens (Dade Behring) BNII analyzer (Dade Behring, Deerfield, Ill), performed according to the manufacturer's protocol. Approximately 4% of samples were split and measured as blinded replicates on different dates to assess repeatability. The reliability coefficient for blinded quality control replicates of CRP was 0.99 (421 blinded replicates). Body mass index was assessed as weight (kg) in a scrub suit divided by height (m) squared. Statins were assessed by reviewing participants' medication containers. After Visit 4, cholesterol-lowering medications were self-reported during annual telephone contact. Factor VIIIc and aPTT were not measured at Visit 4 so the Visit 1 value (3 (link), 13 (link)) was used. Factor V Leiden and the prothrombin G20210A polymorphism were not measured in the whole ARIC cohort.
Participants were followed from Visit 4 (1996-98, n = 11,573) through 2005 to identify hospitalized VTE events. These were validated by physician review using a standardized protocol (14 (link)). A total of 263 VTE events were identified, of which only 7 had been included in our previous analysis of baseline CRP and VTE through June 1997 (3 (link)). Excluding these 7 events had no impact on this analysis, so we chose to include them.
Our hypothesis was that CRP would be associated positively with VTE incidence. From the 11,573 participants at Visit 4, we excluded 320 who were missing CRP; 331 with CRP values >20 mg/L, due to possible acute phase response; 342 who had a prior history of VTE; or 204 who were taking warfarin. This left 10,505 at risk: 8,219 whites, 2,255 African Americans, and 31 others, who were grouped with African Americans for this analysis. Follow-up time ended when the participant had a VTE, died, was lost to follow-up, or else until December 31, 2005. Cox proportional hazards regression was used to model the association between CRP and VTE incidence, and to derive hazard ratios and 95% confidence intervals. Hazard ratios were calculated for each of the four highest quintile groups compared with the first, but also for high CRP categories (90th or 95th percentile) versus all others, to study the possible impact of high CRP on VTE. Covariates included previous VTE risk factors measured in the whole ARIC cohort, measured at Visit 4 unless otherwise specified: age (continuous), race (African American, white), sex/hormone replacement therapy (men, women taking HRT, women not taking HRT), diabetes (yes, no), body mass index (continuous), Visit 1 factor VIIIc, and Visit 1 aPTT. Other factors related to CRP (e.g., smoking, lipid levels, physical activity) were not VTE risk factors in ARIC, and thus not included.
Publication 2009
3,3'-diallyldiethylstilbestrol Activated Partial Thromboplastin Time Acute-Phase Reaction African American Anticholesteremic Agents Diabetes Mellitus Factor VIIIC factor V Leiden Freezing Genetic Polymorphism Hydroxymethylglutaryl-CoA Reductase Inhibitors Immunoturbidimetric Assay Index, Body Mass Lipids Physicians Plasma Prothrombin Warfarin Woman

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Publication 2011
All animal studies were done under Medical College of Wisconsin Institutional Animal Care and Use Committee-approved protocols. Wild-type C57Bl/6 mice were purchased from Harlan SD (Indianapolis, IN) and Factor IX-null mice were from Jackson Laboratories (Bar Harbour, ME). Factor VIII-null mice were kindly supplied by Dr. Haig Kazazian and Factor V Leiden mice were from Dr. David Ginsburg. Mice were anesthetized with intraperitonal pentobarbital (50 mg/kg) with maintenance dosing as required. Simple skin incisions permitted vessel exposures of the jugular vein (for intravenous injections), and of the carotid arteries, (with an external diameter of 0.3-0.5 mm) and femoral veins (diameter, 0.5-1.0 mm). Labeled platelets (up to 1 × 107 injected per mouse) or fluorophore-labeled antibodies/proteins were injected into the jugular vein in volumes up to 100 μL, 3-5 minutes prior to thrombus induction; labeled anti-fibrin was used in the quantitative studies at amounts of 10-20 μg per mouse. Electrolytic injuries were induced on the surface of the carotid artery with a 30-second, 3-volt direct current application, touching the surface of the vessel with the blunt end of a 140-micron-diameter steel needle (Surgical Specialties Inc., Reading, PA) connected to the anode, completing the circuit by contacting local subdermal tissue with the cathode. A similar injury was made on the femoral vein, touching the surface for 30 seconds, 1.5 volts, with a 70-micron blunt-end needle. Applications under similar conditions with wires of copper, zinc, silver, or titanium did not yield detectable clots, supporting an iron ion-mediated electrolytic injury of clot induction, operating similarly as ferric chloride models of clot induction.3 ,4 (link) A modified FeCl3 model was also used for comparison: the corner of a piece of filter paper soaked in a 20% FeCl3 solution was touched to the surface of the carotid artery for 30 seconds, comparable to the contact time and footprint used for the electrolytic injuries. Several other methods of thrombus induction were evaluated, which showed less consistency; these are described and presented in the Supplemental Section.
Publication 2011
Animals Antibodies Blood Platelets Blood Vessel Carotid Arteries Clinical Protocols Clotrimazole Common Carotid Artery Copper Electrolytes Factor IX Factor VIII factor V Leiden ferric chloride Fibrin Injuries Institutional Animal Care and Use Committees Iron Jugular Vein Mice, Inbred C57BL Mice, Knockout Mus Needles Neoplasm Metastasis Pentobarbital Proteins Silver Skin Steel Strains Thrombus Tissues Titanium Vein, Femoral Zinc
All records retrieved from the WoSCC were downloaded independently by two authors (LC, SM) and included the number of annual publication output; outputs of countries/regions, institutions, journals, and authors; citation frequency; and Hirsch index (H-index). The H-index, which indicates that an academic journal or scholar/country/region published H papers, each of which was cited at least H times, was used to evaluate the scientific impact of an author or a country. Journal Citation Reports (JCR) 2019 was used to obtain the impact factor (IF) and quartile of a journal category. Any disagreements were resolved by consensus. Then, the data were converted to Microsoft Excel 2019 (Redmond, Washington, USA), VOSviewer (Leiden University, Leiden, the Netherlands) and CiteSpace V (Drexel University, Philadelphia, PA, USA) for analysis of basic metrics.
Microsoft Excel (v. 2019) was applied to analyze and plot the annual publication output, H-index, total and mean IF, citations per article, and total number of citations for every country/region and to organize data on the basic characteristics of publications and citations.
VOSviewer (van Eck and Waltman, 2010 (link)) was used to create network visualization maps to analyze the collaborative relationships between countries/regions, institutions, and authors of highly cocited references. In addition, VOSviewer can classify keywords with high co-occurrence frequencies into several clusters and simultaneously color them by time course. Co-occurrence analysis identifies research hotspots and trends. We selected “author keywords” as the unit of analysis.
We used CiteSpace V to conduct cocitation analysis of the journals, references, and clusters and further constructed a timeline view of cocited references, by which we could clarify the rise and period of certain clustering fields. Furthermore, CiteSpace can capture keywords with strong citation bursts and construct visualization maps of all items. A citation burst is a key indicator for identifying emerging trends (Chen et al., 2014 (link)). We set the “years per slice” and “top N per slice” values as 1 and 50, respectively; thus, the network map was extracted from the top 50 cited papers in one year per slice.
Publication 2020
Microtubule-Associated Proteins TimeLine
A cross-sectional study was conducted with the objective to investigate the prevalence and clinical impact of factor V Leiden G1691A (FVL) and prothrombin G20210A mutations among Palestinian (of Caucasian race) sickle cell disease (SCD) patients. Sickle cell and sickle β-thalassemia patients were all recruited from Al-Watani Hospital in Nablus. This Hospital is the referral center for these disorders in Northern Governorate of Palestine. And the majority of Sickle cell anemia cases in Palestine are registered in the Northern Governorates of Palestine. For selection of the patients, the medical files of patients registered as Sickle cell anemia or Sickle β-thalassemia (S/βthal) at Al-Watani Hospital were reviewed and patients that fulfilled the inclusion criteria were contacted and asked to participate. Information about the health status or clinical complications was collected from medical files. In addition, all patients who accepted to participate in the study were asked to to state their age, sex and confirm their diagnosis using an interview-based questionnaire. The inclusion criteria were: confirmed diagnosis of Sickle cell anemia, Sickle cell trait, or S/βthal, did not experience vascular crisis or chest syndrome at time of sampling, did not show thrombotic events or have family history of thrombosis, and were not transfused during the last 4 weeks prior to sample collection. Patients comprised 117 individuals with SCD, of whom 59 were SS (30 males and 29 females) aged 16 ± 9.9 years (mean ± SD), 25 were AS (14 males and 11 females) aged 21.2 ± 9.1 years (mean ± SD), and 33 were S/β thalassemia (18 males and 15 females) aged 15.1 ± 5.1 years (mean ± SD). The control group included 118 apparently healthy individuals (77 males and 41 females) aged 20.6 ± 5.5 years (mean ± SD). The inclusion criteria for controls were: individuals did not experience any past or current thrombotic events or had a family history of venous or arterial thrombosis (including stroke, deep venous thrombosis or pulmonary embolism), and were recruited either from blood donors, or medical staff. Blood samples were collected after a written informed consent was obtained from each patient or their guardians/parents before entry to the study.
Publication 2018
Anemia, Sickle Cell Arteries BLOOD Blood Vessel Caucasoid Races Cells Cerebrovascular Accident Chest Deep Vein Thrombosis Diagnosis Donor, Blood factor V Leiden Females Legal Guardians Males Medical Staff Mutation Palestinians Parent Patients Prothrombin Pulmonary Embolism Sickle Cell Trait Specimen Collection Syndrome Thalassemia Thrombosis Veins

Most recents protocols related to «Factor V Leiden»

The statistical evaluation of the study was conducted blindly by members of the Department of Statistics, Faculty of Medicine, Ankara University. Statistical analyses were performed using software (Version 20 SSPSS Inc. Chicago, IL, USA) for Windows. Variables are reported as mean and standard deviation or as median, as appropriate. The association between long-term prognosis indicators (cerebral palsy, epilepsy) and both positive prothrombotic risk factors (protein C, protein S, ATIII, homocysteine, factor V-Leiden, MTHFR, prothrombin) and infarction localization (anterior cerebral artery [ACA], MCA, posterior cerebral artery [PCA], and Watershed) was assessed using binary logistic regression analysis. The relative risk (RR) with 95% confidence interval (CI) was calculated. Statistical significance was set to indicate statistical significance.
Publication 2024
The L-TRRiP model includes sex, type and location of VTE, risk factors for VTE, history of cardiovascular disease as well as blood group non-O and the factor V Leiden mutation to predict the absolute 2-year risk of recurrent VTE. A predicted 2-year VTE risk below 6% is classified as low, a VTE risk of 6%–14% as intermediate and a VTE risk above 14% as high (see table 1).17 (link) The VTE-BLEED model uses age of 60 years or higher, renal dysfunction, anaemia, history of clinically relevant or major bleeding, active malignancy, and uncontrolled hypertension in male patients to predict major bleeding risk. A score <2 is classified as low bleeding risk and a score ≥2 as high bleeding risk (table 2).33 (link)
Publication 2024
The definition of the risk factor profiles and outcomes events are reported elsewhere [3] . briefly, the index VTE was centrally graded as provoked by (a) major persistent risk factors (active cancer excluding basal-cell or squamous-cell skin cancer), (b) minor persistent risk factors (inflammatory bowel disease, lower extremity paralysis or paresis, congestive heart failure, body mass index over 30 kg/m 2 , calculated creatinine clearance below 50 ml per minute, family history of venous thromboembolism, or known thrombophilia including deficiency of antithrombin, protein C, or protein S, factor V Leiden or prothrombin gene mutation, and antiphospholipid syndrome), (c) minor transient risk factors (immobilization, travel over 8 h, pregnancy, puerperium, use of estrogen, or lower limb trauma with transient impairment of mobility), or (d) major transient risk factors (major surgery or trauma, or cesarean section). Patients without any of these risk factors were classified as having unprovoked VTE. The primary efficacy outcome was the composite of symptomatic recurrent VTE, VTE-related death, or unexplained death for which PE could not be excluded and the principal safety outcome was major bleeding [4, 5] .
Publication 2024
Peripheral blood mononuclear cells (PBMCs) were isolated from human blood using Ficoll-Paque (GE Healthcare, Chicago, IL, USA). Human monocyte-derived macrophages were purified by positive selection of CD14 and CD16 cells from the PBMCs using MACS Microbeads from Miltenyi Biotec (Leiden, Netherlands), following the manufacturer's protocol. The isolated monocytes were then induced with 20 ng/mL of macrophage colony-stimulating factor (R&D Systems, Minneapolis, USA) in RPMI-1640 medium supplemented with 10% fetal bovine serum (STEMCELL Technologies), 100 U/mL of penicillin/streptomycin (Thermo Fisher Scientific), 10 mM Glutamax, and 10 mM pyruvate. Mouse alveolar macrophages (AMs) and bone marrow-derived macrophages (BMDMs) were isolated from control mice as previously describe [39 (link), 40 (link)] and cultured in RPMI-1640 medium supplemented with 10% (v/v) fetal calf serum and 2 mM glutamine with penicillin (100 U/mL)/streptomycin (100 mg/mL) and M-CSF (10 ng/mL, Sino Biological, 51112-M08H). The cells were grown in 96-well plates (200 μL final volume; Corning Inc., Corning, NY, USA) and incubated at 37 °C in a humidified incubator with 5% CO2.
Publication 2024
We conducted a prospective, cross-sectional descriptive study at Can Tho Central General Hospital from January 2021 to June 2022 to investigate data related CVT. Our study included a total of 42 patients aged 16 years and above who had been diagnosed with CVT at the hospital.
In order to ensure accurate diagnosis, the study included patients who had received a definitive diagnosis of CVT from a neuroradiologist. This diagnosis was confirmed through specific imaging findings, such as the presence of the dense-triangle sign on a contrast-enhanced CT scan or MRI results consistent with the classic neuroradiological features of CVT. Laboratory investigations were also conducted, with the number of tests performed increasing over the study period as more potential prothrombotic associations were identified. These investigations encompassed a range of parameters, including blood count, cholesterol, triglycerides, lipoprotein, fibrinogen, protein C, protein S, antithrombin III, and factor V Leiden.
Publication 2024

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More about "Factor V Leiden"

Factor V Leiden is a genetic condition caused by a mutation in the Factor V gene, which can lead to an increased risk of blood clots (thrombosis).
This mutation makes the Factor V protein resistant to inactivation by the natural anticoagulant protein C, resulting in a higher likelihood of developing deep vein thrombosis, pulmonary embolism, and other thrombotic events.
Accurate identification and characterization of Factor V Leiden is crucial for effective risk assessment and management of thrombotic disorders.
PubCompare.ai, an AI-driven platform, can help optimize Factor V Leiden research by locating relevant protocols from literature, preprints, and patents, while leveraging AI-comparisons to identify the best protocols and products.
This can enhance reproducibilty and accuracy in Factor V Leiden studies.
To support these efforts, various tools and techniques can be employed.
The QIAamp DNA Blood Mini Kit and QIAamp DNA Mini Kit are commonly used for DNA extraction, while the LightCycler Instrument and 7500 Fast Real-Time PCR System are popular for genetic analysis.
TaqMan assays, a commonly used method for detecting genetic variants, can be particularly useful for identifying the Factor V Leiden mutation.
Additionally, the NanoDrop 1000 spectrophotometer can be used to assess the quality and quantity of extracted DNA, and the Puregene DNA purification kit can provide high-quality genomic DNA.
The Cobas 6000 analyzer is another instrument that can be utilized for automated diagnostic testing, including Factor V Leiden analysis.
Finally, statistical software like SAS version 9.4 can be employed for data analysis and interpretation, helping researchers gain deeper insights into the genetic factors and associated clinical outcomes related to Factor V Leiden.