Literature DB >> 30168182

Histamine H1 receptor gene polymorphism acts as a biological indicator of the prediction of therapeutic efficacy in patients with allergic rhinitis in the Chinese Han population.

Jin-Tao Chu1.   

Abstract

H1-antihistamine has been shown to be effective in treating patients with allergic rhinitis (AR), but its mechanism is still uncertain. We investigated effects of histamine H1 receptor (HRH1) gene polymorphisms on the efficacy of oral H1-antihistamine in perennial patients with AR caused by mites in the Chinese Han population for the first time. A total of 224 Han Chinese patients with AR and 165 Han Chinese healthy volunteers were selected. Genotype and allele frequency distribution of -17C/T in HRH1 gene in patients with AR, serum levels of eosinophil cationic protein (ECP), total immunoglobulin E (IgE), and specific IgE were detected. The clinical symptoms of patients with AR were evaluated with visual analogue scale (VAS). Direct counting method was applied to calculate genotype and allele frequencies. Higher levels of serum ECP and total IgE were shown in the AR group. Moreover, patients with CT, TT, or CT+TT genotype increased the risk of AR incidence in the in the -17C/T site of HRH1, and CC genotype and CT+TT genotype were associated with gender, asthma, VAS score, total IgE level, and specific IgE level in patients with AR. In addition, oral administration of H1-antihistamines improves clinical symptoms of patients with AR. At last, patients with the CC genotype showed the increased efficacy of H1-antihistamines in patients with AR. Our study provides evidence that HRH1 gene polymorphisms may correlate with oral H1-antihistamine efficacy for the treatment of patients with AR, which can be used as a biological indicator of the prediction of therapeutic efficacy of patients with AR.
© 2018 Wiley Periodicals, Inc.

Entities:  

Keywords:  H1-antihistamine; allergic rhinitis (AR); efficacy; histamine H1 receptor (HRH1); polymorphism

Year:  2018        PMID: 30168182     DOI: 10.1002/jcb.27278

Source DB:  PubMed          Journal:  J Cell Biochem        ISSN: 0730-2312            Impact factor:   4.429


  3 in total

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Journal:  Aging (Albany NY)       Date:  2022-05-19       Impact factor: 5.955

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Review 3.  Drug-Drug Interactions in Vestibular Diseases, Clinical Problems, and Medico-Legal Implications.

Authors:  Giulio Di Mizio; Gianmarco Marcianò; Caterina Palleria; Lucia Muraca; Vincenzo Rania; Roberta Roberti; Giuseppe Spaziano; Amalia Piscopo; Valeria Ciconte; Nunzio Di Nunno; Massimiliano Esposito; Pasquale Viola; Davide Pisani; Giovambattista De Sarro; Milena Raffi; Alessandro Piras; Giuseppe Chiarella; Luca Gallelli
Journal:  Int J Environ Res Public Health       Date:  2021-12-08       Impact factor: 3.390

  3 in total

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