Dual Oxidase System Genes Defects in Children With Congenital Hypothyroidism

先天性甲状腺功能减退 遗传学 内科学 内分泌学 生物 医学 基因 甲状腺
作者
Fengqi Wang,Xiaole Li,Ruixin Ma,Dehua Zhao,Shiguo Liu
出处
期刊:Endocrinology [Oxford University Press]
卷期号:162 (8) 被引量:14
标识
DOI:10.1210/endocr/bqab043
摘要

Abstract Purpose The objectives of this study were to analyze the distribution of dual oxidase (DUOX) system genes (containing DUOX2, DUOX1, DUOXA2, and DUOXA1) variants in children with congenital hypothyroidism (CH) and their phenotypes. Methods Target region sequencing technology was performed on DUOX system genes among 606 CH subjects covering all the exon and intron regions. Detailed clinical data were collected for statistical analysis. Results A total of 95 suspected pathogenic variants were detected in the DUOX system genes, showing a 39.11% rate in variant carrying (237/606). DUOX2 had the highest rate in this study. There were statistical differences in maximum adjusted dose and current dose of levothyroxine between the DUOX system genes nonmutated group with the mutated group (both Ps < 0.001). The cases in the DUOX system genes mutated group were more likely to develop into transient CH (χ 2 = 23.155, P < 0.001) and more likely to manifested as goiter or gland-in-situ (χ 2 = 66.139, P < 0.001). In addition, there was no significant difference in clinical characteristics between DUOX system genes monoallelic and non-monoallelic. Although 20% of the variants affected the functional domain regions (EF hand, flavin adenine dinucleotide and nicotinamide adenine dinucleotide binding sites), there was no significant effect on the phenotype severity whether the variation is located in the functional domain regions. Conclusions Our results showed the high variation rate of DUOX2 in the DUOX system genes among Chinese CH patients. The complex genotype-phenotype relationship of DUOX system genes broadened the understanding of CH phenotype spectrum.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
无花果应助饼大王采纳,获得10
2秒前
慈祥的爆米花完成签到,获得积分10
2秒前
yy发布了新的文献求助10
5秒前
10秒前
科研通AI2S应助神经采纳,获得10
11秒前
m(_._)m完成签到 ,获得积分0
11秒前
Hongbin发布了新的文献求助10
15秒前
17秒前
汉堡包应助小龙儿采纳,获得10
17秒前
小白应助drdy采纳,获得60
18秒前
杀出地狱完成签到,获得积分20
18秒前
安戈完成签到,获得积分10
19秒前
小云石海涯完成签到,获得积分10
20秒前
开放的秋玲完成签到,获得积分10
25秒前
充电宝应助不安如波采纳,获得10
25秒前
25秒前
lida完成签到,获得积分10
27秒前
xiaopeng发布了新的文献求助30
29秒前
29秒前
30秒前
愉快夕阳发布了新的文献求助20
30秒前
32秒前
研友_VZG7GZ应助sci_zt采纳,获得10
32秒前
33秒前
hyyyyy发布了新的文献求助10
33秒前
34秒前
小蘑菇应助Hongbin采纳,获得10
35秒前
chengqin发布了新的文献求助10
36秒前
38秒前
38秒前
39秒前
CipherSage应助小鞠采纳,获得10
39秒前
40秒前
ding应助aefs采纳,获得10
40秒前
酷波er应助杀出地狱采纳,获得30
40秒前
刘映波发布了新的文献求助10
42秒前
牟洪梅发布了新的文献求助10
44秒前
清脆的书桃完成签到,获得积分10
44秒前
完美世界应助科研通管家采纳,获得10
44秒前
JamesPei应助科研通管家采纳,获得30
45秒前
高分求助中
(禁止应助)【重要!!请各位详细阅读】【科研通的精品贴汇总】 10000
Semantics for Latin: An Introduction 1099
Robot-supported joining of reinforcement textiles with one-sided sewing heads 780
水稻光合CO2浓缩机制的创建及其作用研究 500
Logical form: From GB to Minimalism 500
2025-2030年中国消毒剂行业市场分析及发展前景预测报告 500
镇江南郊八公洞林区鸟类生态位研究 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 冶金 细胞生物学 免疫学
热门帖子
关注 科研通微信公众号,转发送积分 4166044
求助须知:如何正确求助?哪些是违规求助? 3701785
关于积分的说明 11686433
捐赠科研通 3390287
什么是DOI,文献DOI怎么找? 1859259
邀请新用户注册赠送积分活动 919627
科研通“疑难数据库(出版商)”最低求助积分说明 832281