A Novel Mutation in the INSR Gene Causes Severe Insulin Resistance and Rabson-Mendenhall Syndrome in a Paraguayan Patient

Int J Mol Sci. 2024 Mar 8;25(6):3143. doi: 10.3390/ijms25063143.

Abstract

Rabson-Mendenhall syndrome (RMS) is a rare autosomal recessive disorder characterized by severe insulin resistance, resulting in early-onset diabetes mellitus. We report the first case of RMS in a Paraguayan patient. The patient is a 6-year-old girl who presented with hypertrichosis, acanthosis nigricans, nephrocalcinosis, and elevated levels of glucose and insulin that served as diagnostic indicators for RMS. Genetic testing by next-generation sequencing (NGS) revealed two pathogenic variants in exons 2 and 19 of the INSR gene: c.332G>T (p.Gly111Val) and c.3485C>T (p.Ala1162Val), in combined heterozygosis. The novel INSR c. 332G>T variant leads to the substitution of glycine to valine at position 111 in the protein, and multiple in silico software programs predicted it as pathogenic. The c.3485C>T variant leads to the substitution of alanine to valine at position 1162 in the protein previously described for insulin resistance and RMS. The management of RMS is particularly challenging in children, and the use of metformin is often limited by its side effects. The patient was managed with nutritional measures due to the early age of onset. This report expands the knowledge of RMS to the Paraguayan population and adds a novel pathogenic variant to the existing literature.

Keywords: INSR; Rabson–Mendenhall syndrome; acanthosis nigricans; diabetes mellitus; insulin; insulin receptor; insulin resistance; tyrosine kinase.

Publication types

  • Case Reports

MeSH terms

  • Antigens, CD / genetics
  • Child
  • Donohue Syndrome* / diagnosis
  • Female
  • Humans
  • Insulin Resistance* / genetics
  • Mutation
  • Receptor, Insulin / genetics
  • Receptor, Insulin / metabolism
  • Valine / genetics

Substances

  • Receptor, Insulin
  • Valine
  • INSR protein, human
  • Antigens, CD

Grants and funding

M.N.R.V. was funded by the Swiss Government Excellence Scholarship (ESKAS) grant number 2020.0557 and the open access funding was provided by the University of Bern and swissuniversities.