Evidence Hub

PIK3R1 mutations in individuals with insulin resistance or growth retardation: Case series and in silico functional analysis

Tomofumi Takayoshi, Yushi Hirota, Aki Sugano, Kenji Sugawara, Takehito Takeuchi, Mika Ohta, Kai Yoshimura, Seiji Nishikage et al.

Journal of Diabetes Investigation, 2025

3 citations

Abstract

AIMS/INTRODUCTION: Phosphatidylinositol 3-kinase (PI3K) plays a key role in insulin signaling, and mutations in PIK3R1, which encodes a regulatory subunit (p85α) of this enzyme, are responsible for SHORT syndrome, which is associated with insulin-resistant diabetes. We here describe four Japanese individuals from three families with SHORT syndrome who harbor either a common or a previously unknown mutation in PIK3R1 as well as provide an in silico functional analysis of the mutant proteins. MATERIALS AND METHODS: Gene sequencing was performed to identify PIK3R1 mutations. 3D structural analysis of wild-type and mutant p85α proteins was performed by homology modeling, and structural optimization and molecular dynamics simulations confirmed stable trajectories. Docking simulations of p85α with a phosphopeptide were also conducted. RESULTS: We identified two families with a common mutation (c.1945C>T, p.R649W) and one family with a previously unidentified mutation (c.1957A>T, p.K653*) of PIK3R1. In silico modeling revealed that both mutations impaired binding of p85α to phosphopeptide, with K653* resulting in the loss of amino acids that contribute to such binding. Docking simulations showed a significant loss of docking energy for the R649W mutant compared with the wild-type protein (P = 0.00329). CONCLUSIONS: The four cases of SHORT syndrome were associated with early-onset diabetes and intrauterine growth retardation, with the identified mutations likely disrupting the…

How strong is the evidence?

Evidence Hub reads this as a case series, done in people. Its evidence level is 5 of 5 (Very low · case / narrative / animal / in vitro / in silico). Case reports, narrative reviews, and animal, cell or computer-model studies give the weakest evidence for human health.

How the five levels of evidence work. The level is assigned automatically from the abstract and can be wrong, so check the paper.

Read the paper

Related studies

Go deeper in Evidence Hub

Evidence Hub adds a study data sheet (design, sample size, evidence level, key numbers), an AI summary and a chat grounded in the paper's text.

Open this study Sign up free