Related Experiment Video
Updated: Sep 12, 2025
04:40
Author Spotlight: Advancing Cancer Associated Thrombosis Research in Rodent Models
Published on: January 5, 2024
2.6K
Causal relationship between immune cells and venous thromboembolism: a bidirectional two-sample Mendelian
Wen Xiao1,2, Danfeng Gu3, Mingqi Zhang2
1Affiliated Hospital of Jiangnan University, Wuxi, 214122, China.
Thrombosis Journal
|August 6, 2025
Summary
Specific immune cells are causally linked to venous thromboembolism (VTE), including pulmonary embolism (PE) and deep vein thrombosis (DVT). This research clarifies immune cell roles in VTE development.
Area of Science:
- Immunology
- Vascular Biology
- Genetics
Background:
- Venous thromboembolism (VTE), encompassing pulmonary embolism (PE) and deep vein thrombosis (DVT), is a complex vascular condition with unclear pathological mechanisms.
- Emerging evidence suggests immune cell involvement in VTE pathogenesis, but causal links are unproven.
Purpose of the Study:
- To systematically investigate causal relationships between immune phenotypic traits and VTE, PE, and DVT.
- To utilize a bidirectional, two-sample Mendelian randomization (MR) approach to assess these associations.
Main Methods:
- Employed bidirectional two-sample Mendelian randomization (MR) analysis.
- Immune traits as exposures and VTE, PE, DVT as outcomes (forward MR).
- VTE, PE, DVT as exposures and immune traits as outcomes (reverse MR), with sensitivity analyses and False Discovery Rate (FDR) correction.
Main Results:
- Identified potential causal links between specific immune cell types and VTE, PE, and DVT after FDR correction.
- Found associations between four immune cell types and VTE.
- Reported six immune cell types linked to PE and three to DVT.
Conclusions:
- Specific immune cell types are causally associated with VTE, PE, and DVT.
- These findings offer critical insights for future clinical research and therapeutic strategies targeting VTE.
- Establishes a clearer understanding of the immune system's role in thromboembolic disorders.
Related Concept Videos
01:30Venous Thrombosis I: Introduction
41
Venous thrombosis, the most common disorder of the veins, involves the formation of a thrombus or blood clot associated with vein inflammation. It can be classified as either superficial vein thrombosis or deep vein thrombosis.Superficial Vein Thrombosis: This involves the formation of a thrombus in a superficial vein, usually the greater or lesser saphenous vein. Though less severe than deep vein thrombosis (DVT), SVT can lead to complications if untreated.Deep Vein Thrombosis (DVT): This...
41
01:20Venous Thrombosis II: Clinical Manifestations and Diagnostic Studies
36
The key difference between Superficial Vein Thrombosis (SVT) and Deep Vein Thrombosis (DVT) lies in their location and severity.Clinical ManifestationsSVT typically presents with localized pain, tenderness, and redness along the course of a superficial vein, often accompanied by a palpable, cord-like structure under the skin. This condition is usually less dangerous than DVT but can be uncomfortable and may lead to complications such as cellulitis or, rarely, a clot extension into the deep...
36
01:29Venous Thrombosis III: Interprofessional Care
22
Venous thrombosis requires effective prevention and treatment strategies to improve patient outcomes and reduce potential complications.Prevention StrategiesHealthcare providers must prioritize preventing venous thromboembolism (VTE) for all adult patients upon admission. Interventions depend on bleeding and thrombosis risk, medical history, current medications, diagnoses, planned procedures, and patient preferences. Patients on bed rest should change positions every two hours and, if not...
22
01:29Bias in Epidemiological Studies
683
Biases can arise at various stages of research, from study design and data collection to analysis and interpretation. Recognizing and addressing these biases is essential to ensure the validity and reliability of epidemiological findings.Broadly speaking, biases in epidemiology fall into three main categories: selection bias, information bias, and confounding. A more detailed description of possible biases is:
683
01:21Causality in Epidemiology
847
Causality or causation is a fundamental concept in epidemiology, vital for understanding the relationships between various factors and health outcomes. Despite its importance, there's no single, universally accepted definition of causality within the discipline. Drawing from a systematic review, causality in epidemiology encompasses several definitions, including production, necessary and sufficient, sufficient-component, counterfactual, and probabilistic models. Each has its strengths and...
847
01:27Confounding in Epidemiological Studies
262
Confounding in statistical epidemiology represents a pivotal challenge, referring to the distortion in the perceived relationship between an exposure and an outcome due to the presence of a third variable, known as a confounder. This variable is associated with both the exposure and the outcome but is not a direct link in their causal chain. Its presence can lead to erroneous interpretations of the exposure's effect, either exaggerating or underestimating the true association. This...
262