| Title |
T cell subsets: an integral component in pathogenesis of rheumatic heart disease
|
|---|---|
| Published in |
Immunologic Research, November 2017
|
| DOI | 10.1007/s12026-017-8978-z |
| Pubmed ID | |
| Authors |
Devinder Toor, Neha Sharma |
| Abstract |
Acute rheumatic fever (ARF) is a consequence of pharyngeal infection of group A streptococcal (GAS) infection. Carditis is the most common manifestation of ARF which occurs in 30-45% of the susceptible individuals. Overlooked ARF cases might further progress towards rheumatic heart disease (RHD) in susceptible individuals, which ultimately leads to permanent heart valve damage. Molecular mimicry between streptococcal antigens and human proteins is the most widely accepted theory to describe the pathogenesis of RHD. In the recent past, various subsets of T cells have been reported to play an imperative role in the pathogenesis of RHD. Alterations in various T cell subsets, viz. Th1, Th2, Th17, and Treg cells, and their signature cytokines influence the immune responses and are associated with pathogenesis of RHD. Association of other T cell subsets (Th3, Th9, Th22, and TFH) is not defined in context of RHD. Several investigations have confirmed the up-regulation of adhesion molecules and thus infiltration of T cells into the heart tissues. T cells secrete both Th type 1 and type 2 cytokines and these auto-reactive T cells play a key role in progression of heart valve damage. In this review, we are going to discuss about the role of T cell subsets and their corresponding cytokines in the pathogenesis of RHD. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 34 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Other | 5 | 15% |
| Student > Bachelor | 5 | 15% |
| Student > Ph. D. Student | 4 | 12% |
| Student > Doctoral Student | 3 | 9% |
| Student > Postgraduate | 3 | 9% |
| Other | 4 | 12% |
| Unknown | 10 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 10 | 29% |
| Immunology and Microbiology | 7 | 21% |
| Agricultural and Biological Sciences | 3 | 9% |
| Biochemistry, Genetics and Molecular Biology | 2 | 6% |
| Social Sciences | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 10 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 26 November 2017.
All research outputs
#18,345,259
of 23,577,654 outputs
Outputs from Immunologic Research
#640
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Outputs of similar age
#309,274
of 440,859 outputs
Outputs of similar age from Immunologic Research
#11
of 19 outputs
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