Literature DB >> 25866162

Heterozygous nonsense mutations near the C-terminal region of IGF1R in two patients with small-for-gestational-age-related short stature.

Masanobu Fujimoto1, Yuki Kawashima Sonoyama1, Naoki Hamajima2, Takashi Hamajima3, Yumiko Kumura4, Naoki Miyahara1, Rei Nishimura1, Kaori Adachi4, Eiji Nanba4, Keiichi Hanaki5, Susumu Kanzaki1.   

Abstract

OBJECTIVE: The type I insulin-like growth factor I receptor (IGF1R) plays an important role in growth. We aimed to evaluate the detailed mechanism underlying the effect of IGF1R on human growth. PATIENTS AND METHODS: We have performed sequence analysis of IGF1R in 55 patients with SGA short stature in Japan, since 2004, and identified novel heterozygous nonsense mutations in 2 patients: an 8-year-old Japanese boy (case 1), with a birthweight of 2228 g (-3·3 SDS) and height of 46 cm (-2·1 SDS), and a 3-year-old Japanese girl (case 2), with a birthweight of 2110 g (-3·0 SDS) and height of 44·3 cm (-2·8 SDS). Both patients had a short stature (-3·2 SDS, -3·1 SDS). We determined the protein expression of mutated IGF1R, assessed the effect of the endoplasmic reticulum-associated degradation (ERAD) pathway on mutated IGF1R, assessed the dominant-negative effect of IGF1R and performed quantitative RT-PCR analysis of IGF1R mRNA expression in whole blood cells.
RESULTS: Two novel heterozygous nonsense mutations (case 1: p.Q1250X and case 2: p.W1249X) were identified. Although these mutations did not affect blood IGF1R mRNA levels, they significantly decreased the expression of IGF1R protein in transiently transfected cells. Treatment with the proteasome inhibitor MG132 showed significantly increased IGF1R protein.
CONCLUSIONS: Heterozygous nonsense mutations affecting the C-terminal region (p.Q1250X, p.W1249X) of IGF1R decreased the expression of IGF1R through the ERAD pathway. Our study revealed the importance of the C-terminal region and the dosage of this receptor for growth.
© 2015 John Wiley & Sons Ltd.

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Year:  2015        PMID: 25866162     DOI: 10.1111/cen.12791

Source DB:  PubMed          Journal:  Clin Endocrinol (Oxf)        ISSN: 0300-0664            Impact factor:   3.478


  7 in total

1.  LINC24065 is a monoallelically expressed long intergenic noncoding RNA located in the cattle DLK1-DIO3 cluster.

Authors:  Cui Zhang; Da Xu; Weina Chen; Junliang Li; Qinghua Gao; Shijie Li
Journal:  J Genet       Date:  2019-03       Impact factor: 1.166

2.  Increased IRS2 mRNA Expression in SGA Neonates: PCR Analysis of Insulin/IGF Signaling in Cord Blood.

Authors:  Masanobu Fujimoto; Yuki Kawashima Sonoyama; Kenji Fukushima; Aya Imamoto; Fumiko Miyahara; Naoki Miyahara; Rei Nishimura; Yuko Yamada; Mazumi Miura; Kaori Adachi; Eiji Nanba; Keiichi Hanaki; Susumu Kanzaki
Journal:  J Endocr Soc       Date:  2017-10-05

3.  IGF1R Gene Alterations in Children Born Small for Gestitional Age (SGA).

Authors:  Aleksandra Janchevska; Marina Krstevska-Konstantinova; Heike Pfäffle; Marina Schlicke; Nevenka Laban; Velibor Tasic; Zoran Gucev; Kristina Mironska; Aleksandar Dimovski; Jürgen Kratzsch; Jürgen Klammt; Roland Pfäffle
Journal:  Open Access Maced J Med Sci       Date:  2018-11-10

4.  Genetic regulation of linear growth.

Authors:  Shanna Yue; Philip Whalen; Youn Hee Jee
Journal:  Ann Pediatr Endocrinol Metab       Date:  2019-03-31

5.  Endothelial IGF-1 receptor mediates crosstalk with the gut wall to regulate microbiota in obesity.

Authors:  Natalie J Haywood; Cheukyau Luk; Katherine I Bridge; Michael Drozd; Natallia Makava; Anna Skromna; Amanda Maccannell; Claire H Ozber; Nele Warmke; Chloe G Wilkinson; Nicole T Watt; Joanna Koch-Paszkowski; Irvin Teh; Jordan H Boyle; Sean Smart; Jurgen E Schneider; Nadira Y Yuldasheva; Lee D Roberts; David J Beech; Piruthivi Sukumar; Stephen B Wheatcroft; Richard M Cubbon; Mark T Kearney
Journal:  EMBO Rep       Date:  2021-05-02       Impact factor: 8.807

6.  Various phenotypes of short stature with heterozygous IGF-1 receptor (IGF1R) mutations.

Authors:  Yuki Kawashima-Sonoyama; Tomoyuki Hotsubo; Takashi Hamajima; Naoki Hamajima; Masanobu Fujimoto; Noriyuki Namba; Susumu Kanzaki
Journal:  Clin Pediatr Endocrinol       Date:  2022-02-07

7.  DephosSite: a machine learning approach for discovering phosphotase-specific dephosphorylation sites.

Authors:  Xiaofeng Wang; Renxiang Yan; Jiangning Song
Journal:  Sci Rep       Date:  2016-03-22       Impact factor: 4.379

  7 in total

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