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Pulmonary Tuberculosis I01:29

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Tuberculosis, often called TB, is a contagious illness primarily caused by Mycobacterium tuberculosis. It mainly affects the lung parenchyma but can also impact other body parts.
Causative Organism
The primary infectious agent causing tuberculosis is Mycobacterium tuberculosis, a slow-growing, acid-fast, aerobic rod that exhibits sensitivity to heat and ultraviolet light. Instances of Mycobacterium bovis and Mycobacterium avium contributing to the development of TB infection are rare.
Mode of...
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Tuberculosis, or TB, is a bacterial infectious disease caused by Mycobacterium tuberculosis. While its primary impact is on the lungs, leading to pulmonary tuberculosis, it can also affect various other organs, a condition referred to as extrapulmonary tuberculosis.
Here is a detailed explanation of its pathophysiology:
Transmission: The process begins when a person inhales droplet nuclei containing M. tuberculosis. These are typically released into the air when an individual with pulmonary or...
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Medical management of tuberculosis (TB) patients involves a comprehensive approach that includes diagnosis, treatment, and monitoring. The specific strategies can vary depending on the type of tuberculosis (latent or active), the patient's overall health status, and other considerations.
Latent tuberculosis infection occurs when TB bacteria are present in a person's body, but are not causing illness or symptoms. It is not contagious, and preventive treatment is crucial to avoid the...
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Tuberculosis (TB) is a contagious infection primarily affecting the lung parenchyma but which can also affect other body parts. TB can be classified based on disease development, presentation, and the affected anatomical site.
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NF-κB-dependent Signaling Pathway02:26

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The transcription factor NF-κB was discovered in 1986 in the lab of Nobel laureate Professor David Baltimore, for its interaction with the immunoglobulin light chain enhancer in B-cells. After more than three decades of study, it is now evident that NF-κB regulates the expression of over 100 genes. Most of these genes play an essential role in the innate and adaptive immune responses as well as the inflammatory responses of animals.
NF-κB-dependent Signaling Mechanism
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Tuberculosis, more commonly referred to as TB, is an infectious disease stemming from Mycobacterium tuberculosis. While it primarily impacts the lungs, TB can also affect other body areas. Given its severity and global impact, timely and accurate diagnosis is crucial for controlling its spread and improving patient outcomes.
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Related Experiment Video

Updated: Aug 17, 2025

Evaluation of T Follicular Helper Cells and Germinal Center Response During Influenza A Virus Infection in Mice
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IFNG and IFNGR1 polymorphisms are associated with tuberculosis: a case-control study.

S-Q Wu1, X-J Ding, Q-L Yang

  • 1Department of Respiratory and Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, Sichuan, China. jianqhe@gmail.com.

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Summary

Single-nucleotide polymorphisms (SNPs) in interferon gamma (IFNG) and IFNGR1 genes are associated with tuberculosis (TB) risk in Tibetans. These genetic markers show potential as diagnostic tools for TB.

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Area of Science:

  • Genetics and Immunology
  • Infectious Disease Epidemiology
  • Biomarker Discovery

Background:

  • Tuberculosis (TB) remains a significant global health challenge.
  • Previous research indicated potential roles for interferon gamma (IFNG) and its receptor IFNGR1 in TB pathogenesis.
  • Genetic variations may influence individual susceptibility to TB.

Purpose of the Study:

  • To investigate the association between IFNG and IFNGR1 gene single-nucleotide polymorphisms (SNPs) and TB in the Tibetan population.
  • To develop a machine learning-based clinical prediction model for TB using genetic and clinical data.

Main Methods:

  • A case-control study involving 613 TB patients and 603 healthy controls from the Tibetan population.
  • Logistic regression analysis was employed to assess the association between SNPs and TB, adjusting for age and sex.
  • Random forest (RF) machine learning was utilized to construct a predictive model integrating clinical data and identified SNPs.

Main Results:

  • Specific SNPs and alleles in IFNG (rs1861494) and IFNGR1 (rs3799488, rs9376267, rs1327475, rs2234711) were found to be significantly associated with TB, with several showing protective effects.
  • The RF model identified five key markers, achieving an area under the curve (AUC) of 0.6 in the training set and 0.59 in the test set, indicating predictive capability.
  • The study identified significant associations between specific genetic variations and tuberculosis risk within the Tibetan cohort.

Conclusions:

  • IFNG and IFNGR1 gene polymorphisms are significantly associated with tuberculosis in the Tibetan population.
  • The identified genetic markers hold promise as potential diagnostic biomarkers for TB.
  • Machine learning models integrating genetic data can aid in TB prediction.