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Cytokines in autoimmunity

Name: Cytokines in autoimmunity
Keywords: Arthritis, Rheumatoid, Disease Models, Animal, Diabetes Mellitus, Type 1, Multiple Sclerosis, Animals, Cytokines, Humans, Autoimmunity, Receptors, Immunologic, Cell Adhesion Molecules

descriptionPublicationkeyboard_double_arrow_right Article 01 Dec 1992 United Kingdom English Publisher:Elsevier BVJournal:Current Opinion in Immunology, volume 4, pages 754-759 (issn: 0952-7915,

Authors: Brennan, F; Feldmann, M;

doi: 10.1016/0952-7915(92)90057-l , 10.1016/s0952-7915(96)80018-5

pmid: 8994869 , 1466799

Cytokines in autoimmunity

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Abstract

The past few years have witnessed exciting developments regarding the role of cytokines in autoimmune diseases, particularly in rheumatoid arthritis and Crohn's disease, with the demonstration that anti-TNF alpha therapy is clinically beneficial and provides reproducible results. Recent contributions to this field, derived from in vivo studies in animal models of autoimmunity, and increasingly from clinical trials, have greatly enhanced our understanding of this field.

Country

United Kingdom

Related Organizations

University of Oxford
United Kingdom

Keywords

Arthritis, Rheumatoid, Disease Models, Animal, Diabetes Mellitus, Type 1, Multiple Sclerosis, Animals, Cytokines, Humans, Autoimmunity, Receptors, Immunologic, Cell Adhesion Molecules, Autoimmune Diseases

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	245
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Top 10%
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Top 1%
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Top 10%