Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Genetic models for CNS inflammation.

T Owens1, H Wekerle, J Antel

  • 1Neuroimmunology Unit, Montreal Neurological Institute, McGill University, Montreal, Quebec, Canada. trevor@med.mcgill.ca

Nature Medicine
|February 15, 2001
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Nature, nurture, and microbes: The development of multiple sclerosis.

Acta neurologica Scandinavica·2017
Same author

[Nutrition and mental diseases : Focus depressive disorders].

Der Nervenarzt·2016
Same author

Evidence for three genetic loci involved in both anorexia nervosa risk and variation of body mass index.

Molecular psychiatry·2016
Same author

Reply to M. Sherman. The relationship between obesity and depression in children and adolescents.

Obesity reviews : an official journal of the International Association for the Study of Obesity·2016
Same author

Evidence for three genetic loci involved in both anorexia nervosa risk and variation of body mass index.

Molecular psychiatry·2016
Same author

Are bidirectional associations of obesity and depression already apparent in childhood and adolescence as based on high-quality studies? A systematic review.

Obesity reviews : an official journal of the International Association for the Study of Obesity·2015
Same journal

Why high scores do not mean application readiness for health AI.

Nature medicine·2026
Same journal

Polypill for heart failure with reduced ejection fraction: the POLY-HF randomized trial.

Nature medicine·2026
Same journal

Biological aging might help to explain the rising risk of early-onset cancer.

Nature medicine·2026
Same journal

Innate immune responsiveness predicts enhanced cellular immunity and symptomatic disease after controlled human influenza infection.

Nature medicine·2026
Same journal

A meta-analysis of the long-term effects of antihypertensive therapy on the risk of major cardiovascular disease across 51 randomized trials.

Nature medicine·2026
Same journal

Blood-based circular RNAs for early diagnosis of Alzheimer's disease.

Nature medicine·2026
See all related articles

Transgenic and knockout models offer insights into inflammation

Area of Science:

  • Neuroimmunology
  • Molecular Biology
  • Genetics

Background:

  • Inflammation plays a key role in various central nervous system (CNS) diseases.
  • Understanding the specific molecules involved in CNS inflammation is crucial for developing effective treatments.

Purpose of the Study:

  • To review the application of transgenic and knockout models in studying CNS demyelinating diseases.
  • To examine the role of specific molecules in experimental autoimmune encephalomyelitis (EAE), a model for multiple sclerosis.
  • To explore the contribution of inflammation to other CNS conditions like neurodegeneration, ischemia, and trauma.

Main Methods:

  • Utilizing genetically modified animal models (transgenic and knockout) to manipulate gene expression related to inflammation.
  • Analyzing the impact of these genetic modifications on disease development and progression in experimental models.

Related Experiment Videos

  • Focusing on models relevant to multiple sclerosis and other CNS injuries.
  • Main Results:

    • Transgenic and knockout technologies enable direct investigation of inflammatory molecules' roles in experimental CNS diseases.
    • These models have been instrumental in dissecting the pathogenesis of autoimmune demyelinating diseases like multiple sclerosis.
    • The utility of these models extends to understanding inflammation's secondary role in neurodegeneration, ischemia, and trauma.

    Conclusions:

    • Genetically engineered models are powerful tools for studying the complex role of inflammation in CNS disorders.
    • Insights gained from these models advance our understanding of multiple sclerosis and other neurological conditions.
    • Further research using these models can identify novel therapeutic targets for CNS diseases.