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一个与甲状腺激素抵抗相关的新型及两个复发性THRB突变:基于结构的计算突变预测

One Novel and Two Recurrent THRB Mutations Associated with Resistance to Thyroid Hormone: Structure-based Computational Mutation Prediction.

作者信息

Narumi Satoshi, Cho Hideo, Tamada Izumi, Kozu Yuki, Tsuchiya Takayoshi, Nagai Toshiro, Hasegawa Tomonobu

机构信息

Department of Pediatrics, Keio University School of Medicine, Tokyo, Japan.

出版信息

Clin Pediatr Endocrinol. 2010 Oct;19(4):91-9. doi: 10.1297/cpe.19.91. Epub 2010 Dec 29.

Abstract

Inactivating mutations of THRB, which encodes the thyroid hormone receptor β (TRβ), cause resistance to thyroid hormone (RTH; OMIM 190160). To date, more than 100 THRB mutations have been reported among RTH patients. Most mutations substitute a single amino-acid residue in the ligand-binding domain. In this report, we describe clinical and molecular findings of three families with RTH. Three families harbored one novel (p.I431M) and two recurrent (p.R320H and p.R383C) THRB mutations. To examine the pathogenicity of identified mutations, we introduced a novel computational mutation prediction method based on three-dimensional structure data of TRβ-T3 complex. First, to define the accuracy of our prediction system, we evaluated ten previously reported 'positive control' mutations, as well as 30 seemingly benign sequence variations observed among vertebral species as 'negative controls'. We found that our system had a sensitivity of 80% and a specificity of 93%. We then analyzed three mutations detected in the present study and found that all three mutations are predicted to be deleterious. Our data suggest that our structure-based prediction system would be a prompt, inexpensive and feasible method for evaluating the pathogenicity of missense THRB mutations.

摘要

编码甲状腺激素受体β(TRβ)的THRB基因发生失活突变会导致甲状腺激素抵抗(RTH;OMIM 190160)。迄今为止,在RTH患者中已报道了100多种THRB突变。大多数突变在配体结合域中替换了单个氨基酸残基。在本报告中,我们描述了三个RTH家系的临床和分子研究结果。三个家系携带一个新的(p.I431M)和两个复发的(p.R320H和p.R383C)THRB突变。为了检验所鉴定突变的致病性,我们基于TRβ-T3复合物的三维结构数据引入了一种新的计算突变预测方法。首先,为了确定我们预测系统的准确性,我们评估了十个先前报道的“阳性对照”突变,以及在脊椎动物物种中观察到的30个看似良性的序列变异作为“阴性对照”。我们发现我们的系统灵敏度为80%,特异性为93%。然后我们分析了本研究中检测到的三个突变,发现所有三个突变都被预测为有害突变。我们的数据表明,我们基于结构的预测系统将是一种快速、廉价且可行的方法,用于评估THRB错义突变的致病性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2ea8/3687625/baa90725999c/cpe-19-091-g001.jpg

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