| Title |
Allelic variants in TLR10 gene may influence bilateral affectation and clinical course of Meniere’s disease
|
|---|---|
| Published in |
Immunogenetics, February 2013
|
| DOI | 10.1007/s00251-013-0683-z |
| Pubmed ID | |
| Authors |
Teresa Requena, Irene Gazquez, Antonia Moreno, Angel Batuecas, Ismael Aran, Andres Soto-Varela, Sofia Santos-Perez, Nicolas Perez, Herminio Perez-Garrigues, Alicia Lopez-Nevot, Eduardo Martin, Ricardo Sanz, Paz Perez, Gabriel Trinidad, Marta E. Alarcon-Riquelme, Roberto Teggi, Laura Zagato, Miguel A. Lopez-Nevot, Jose A. Lopez-Escamez |
| Abstract |
Toll-like receptors trigger the innate immune response by activating various cell types such us macrophages and lymphocytes. We genotyped SNV of TLR3, TRL7, TLR8 and TLR10 in 863 Spanish and 150 Italian patients with Meniere's disease (MD) and 1,013 controls by using Taqman assays. Real-Time qPCR was used to measure the expression level of TLR10 in peripheral blood leukocytes. The overall dataset showed that the C allele and the CC genotype of rs11096955 in TLR10 gene were more commonly observed in controls than patients (corrected p = 1 × 10(-3), OR = 0.68 [95 % confidence interval, 0.54-0.84] for CC genotype; corrected p = 1.5 × 10(-5), OR = 0.75 [0.66-0.85] for allele C). Moreover, the CC genotype was more frequent in patients with uni- (19 %) than bilateral sensorineural hearing loss (SNHL) (13 %). Logistic regression demonstrated that the time since the onset of MD, Tumarkin crises, hearing stage and rs11096955 were independent factors influencing the risk of bilateral SNHL. In addition, rs11096955 influenced hearing loss progression in patients with bilateral MD. No change in expression of TLR10 was observed according to CC, CA or AA genotypes. Our data suggest that allelic variants of TLR10 gene may influence the susceptibility and time-course of hearing loss of MD in the European population. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 50% |
| Practitioners (doctors, other healthcare professionals) | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | 2% |
| Unknown | 57 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 7 | 12% |
| Researcher | 5 | 9% |
| Student > Postgraduate | 5 | 9% |
| Student > Bachelor | 5 | 9% |
| Professor > Associate Professor | 5 | 9% |
| Other | 17 | 29% |
| Unknown | 14 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 23 | 40% |
| Biochemistry, Genetics and Molecular Biology | 5 | 9% |
| Immunology and Microbiology | 4 | 7% |
| Agricultural and Biological Sciences | 3 | 5% |
| Nursing and Health Professions | 1 | 2% |
| Other | 5 | 9% |
| Unknown | 17 | 29% |
Attention Score in Context
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#12,678,664
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Outputs from Immunogenetics
#866
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#150,661
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Outputs of similar age from Immunogenetics
#2
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