Literature DB >> 27450915

Association of Beta 2 adrenergic receptor (Thr164Ile) polymorphism with Salbutamol refractoriness in severe asthmatics from Indian population.

Srinivas Bandaru1, Pramod Tarigopula2, Jyothy Akka3, Vijaya Kumar Marri2, Ramesh Kumar Kattamuri2, Anuraj Nayarisseri4, Madhavi Mangalarapu5, Swetha Vinukonda5, Hema Prasad Mundluru3, Someswar Rao Sagurthi6.   

Abstract

BACKGROUND: Thr164Ile polymorphism in the ADRB2 gene encoding β2 adrenergic receptor (β2AR) has its functional consequence in declining ligand-receptor interactions and depressed coupling of β2AR to adenylcyclase. In the present study, we sought to evaluate the possible association of Thr164Ile polymorphism with asthma susceptibility, pharmacogenetic response to Salbutamol and varying degrees of severity.
METHODS: Three hundred and ninety eight clinically diagnosed patients and four hundred and fifty six healthy controls were enrolled in the study. Patients were classified into severity classes according to the Global Initiative for Asthma (GINA) guidelines. To assess bronchodilator response, spirometry was performed before and 15min after Salbutamol (200μg) delivery. Responders to Salbutamol were categorized if percentage reversibility was greater than or equal to 12% in them, while those showing reversibility <12% were classified as non-responders. Further, responding phenotypes were stratified into severity groups. Genotyping was carried out by ARMS-PCR technique. Statistical methods were applied to test the significance of the results.
RESULTS: In the present study, polymorphism was not associated with disease susceptibility however; there was significant association with non-responding asthmatics. In case of severity subsets, the polymorphism was not associated with milder subtypes; although, notable association was observed with moderate and severe asthma subtypes. In addition, the polymorphism was significantly associated with non-responding patients with severe asthma.
CONCLUSIONS: In south Indian population, the ADRB2 Thr164Ile polymorphism may not form susceptible variant to develop asthma, however, it can form a predictive maker for bronchodilator (Salbutamol) response in severe asthmatics.
Copyright © 2016 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Asthma severity; Bronchial asthma; Salbutamol refractoriness; Thr164Ile polymorphism

Mesh:

Substances:

Year:  2016        PMID: 27450915     DOI: 10.1016/j.gene.2016.07.043

Source DB:  PubMed          Journal:  Gene        ISSN: 0378-1119            Impact factor:   3.688


  7 in total

Review 1.  Pharmacogenetic Factors Affecting Asthma Treatment Response. Potential Implications for Drug Therapy.

Authors:  Jesús Miguel García-Menaya; Concepción Cordobés-Durán; Elena García-Martín; José A G Agúndez
Journal:  Front Pharmacol       Date:  2019-05-21       Impact factor: 5.810

2.  Design of novel JAK3 Inhibitors towards Rheumatoid Arthritis using molecular docking analysis.

Authors:  Divya Jain; Trishang Udhwani; Shreshtha Sharma; Aishwarya Gandhe; Palugulla Bhaskar Reddy; Anuraj Nayarisseri; Sanjeev Kumar Singh
Journal:  Bioinformation       Date:  2019-02-28

3.  Design of PD-L1 inhibitors for lung cancer.

Authors:  Trishang Udhwani; Sourav Mukherjee; Khushboo Sharma; Jajoriya Sweta; Natasha Khandekar; Anuraj Nayarisseri; Sanjeev Kumar Singh
Journal:  Bioinformation       Date:  2019-02-28

4.  FLT3 inhibitor design using molecular docking based virtual screening for acute myeloid leukemia.

Authors:  Padmini Gokhale; Aashish Pratap Singh Chauhan; Anushka Arora; Natasha Khandekar; Anuraj Nayarisseri; Sanjeev Kumar Singh
Journal:  Bioinformation       Date:  2019-02-28

5.  Virtual Screening of IL-6 Inhibitors for Idiopathic Arthritis.

Authors:  Palak Shukla; Ravina Khandelwal; Diksha Sharma; Anindya Dhar; Anuraj Nayarisseri; Sanjeev Kumar Singh
Journal:  Bioinformation       Date:  2019-02-28

6.  Identification of Potent VEGF Inhibitors for the Clinical Treatment of Glioblastoma, A Virtual Screening Approach.

Authors:  Mohini Yadav; Ravina Khandelwal; Urvy Mudgal; Sivaraj Srinitha; Natasha Khandekar; Anuraj Nayarisseri; Sugunakar Vuree; Sanjeev Kumar Singh
Journal:  Asian Pac J Cancer Prev       Date:  2019-09-01

7.  Molecular dynamic simulations reveal suboptimal binding of salbutamol in T164I variant of β2 adrenergic receptor.

Authors:  Srinivas Bandaru; Mallika Alvala; Anuraj Nayarisseri; Saphy Sharda; Himshikha Goud; Hema Prasad Mundluru; Sanjeev Kumar Singh
Journal:  PLoS One       Date:  2017-10-20       Impact factor: 3.240

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.