Genotype and Clinical Characteristics of Patients with Wolfram Syndrome and WFS1-related Disorders.


Journal

medRxiv : the preprint server for health sciences
Titre abrégé: medRxiv
Pays: United States
ID NLM: 101767986

Informations de publication

Date de publication:
16 Feb 2023
Historique:
entrez: 24 2 2023
pubmed: 25 2 2023
medline: 25 2 2023
Statut: epublish

Résumé

Wolfram syndrome (WFS) is an autosomal recessive disorder associated with juvenile-onset diabetes mellitus, optic atrophy, diabetes insipidus, and sensorineural hearing loss. We sought to elucidate the relationship between genotypic and phenotypic presentations of Wolfram syndrome which would assist clinicians in classifying the severity and prognosis of Wolfram syndrome more accurately. Patient data from the Washington University International Registry and Clinical Study for Wolfram Syndrome and patient case reports were analyzed to select for patients with two recessive mutations in the WFS1 gene. Mutations were classified as being either nonsense/frameshift variants or missense/in-frame insertion/deletion variants and statistical analysis was performed using unpaired and paired t-tests and one- and two-way ANOVA with Tukey's or Dunnett's tests. A greater number of genotype variants correlated with earlier onset and a more severe presentation of Wolfram syndrome. Secondly, non-sense and frameshift variants had more severe phenotypic presentations than missense variants, as evidenced by optic atrophy emerging significantly earlier in patients with 2 nonsense/frameshift alleles compared with 0 missense transmembrane variants. In addition, the number of transmembrane in-frame variants demonstrated a statistically significant dose-effect on age of onset of diabetes mellitus and optic atrophy. The results contribute to our current understanding of the genotype-phenotype relationship of Wolfram syndrome, suggesting that alterations in coding sequences result in significant changes in the presentation and severity of Wolfram. The impact of these findings is significant, as the results will aid clinicians in predicting more accurate prognoses and pave the way for personalized treatments for Wolfram syndrome.

Identifiants

pubmed: 36824811
doi: 10.1101/2023.02.15.23284904
pmc: PMC9949199
pii:
doi:

Types de publication

Preprint

Langues

eng

Subventions

Organisme : NCATS NIH HHS
ID : UH3 TR002065
Pays : United States
Organisme : NIDDK NIH HHS
ID : R01 DK132090
Pays : United States
Organisme : NCATS NIH HHS
ID : UL1 TR000448
Pays : United States
Organisme : NIDDK NIH HHS
ID : P60 DK020579
Pays : United States
Organisme : NIDDK NIH HHS
ID : P30 DK020579
Pays : United States
Organisme : NIDDK NIH HHS
ID : R01 DK112921
Pays : United States
Organisme : NICHD NIH HHS
ID : P50 HD103525
Pays : United States
Organisme : NCATS NIH HHS
ID : UL1 TR002345
Pays : United States
Organisme : NCATS NIH HHS
ID : UH2 TR002065
Pays : United States

Commentaires et corrections

Type : UpdateIn

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Auteurs

Evan M Lee (EM)

Department of Medicine, Division of Endocrinology, Metabolism, and Lipid Research, Washington University School of Medicine, 660 South Euclid Avenue, St. Louis, MO 63110, USA.
Medical Scientist Training Program, Washington University School of Medicine, St. Louis, MO 63110, USA.

Megha Verma (M)

Department of Medicine, Division of Endocrinology, Metabolism, and Lipid Research, Washington University School of Medicine, 660 South Euclid Avenue, St. Louis, MO 63110, USA.
Saint Louis University School of Medicine, Saint Louis, MO, USA.

Nila Palaniappan (N)

Department of Medicine, Division of Endocrinology, Metabolism, and Lipid Research, Washington University School of Medicine, 660 South Euclid Avenue, St. Louis, MO 63110, USA.
University of Missouri Kansas City, Kansas City, MO, USA.

Emiko M Pope (EM)

Department of Medicine, Division of Endocrinology, Metabolism, and Lipid Research, Washington University School of Medicine, 660 South Euclid Avenue, St. Louis, MO 63110, USA.
Massachusetts Institute of Technology, Cambridge, MA, USA.

Sammie Lee (S)

Department of Medicine, Division of Endocrinology, Metabolism, and Lipid Research, Washington University School of Medicine, 660 South Euclid Avenue, St. Louis, MO 63110, USA.
Cornell University, Ithaca, NY, USA.

Lindsey Blacher (L)

Department of Medicine, Division of Endocrinology, Metabolism, and Lipid Research, Washington University School of Medicine, 660 South Euclid Avenue, St. Louis, MO 63110, USA.

Pooja Neerumalla (P)

Department of Medicine, Division of Endocrinology, Metabolism, and Lipid Research, Washington University School of Medicine, 660 South Euclid Avenue, St. Louis, MO 63110, USA.

William An (W)

Department of Medicine, Division of Endocrinology, Metabolism, and Lipid Research, Washington University School of Medicine, 660 South Euclid Avenue, St. Louis, MO 63110, USA.

Toko Campbell (T)

Department of Medicine, Division of Endocrinology, Metabolism, and Lipid Research, Washington University School of Medicine, 660 South Euclid Avenue, St. Louis, MO 63110, USA.

Cris Brown (C)

Department of Medicine, Division of Endocrinology, Metabolism, and Lipid Research, Washington University School of Medicine, 660 South Euclid Avenue, St. Louis, MO 63110, USA.

Stacy Hurst (S)

Department of Medicine, Division of Endocrinology, Metabolism, and Lipid Research, Washington University School of Medicine, 660 South Euclid Avenue, St. Louis, MO 63110, USA.

Bess Marshall (B)

Department of Pediatrics, Washington University School of Medicine, 660 South Euclid Avenue, St. Louis, MO 63110, USA.

Tamara Hershey (T)

Departments of Psychiatry and Radiology, Washington University School of Medicine, 660 South Euclid Avenue, St. Louis, MO 63110, USA.

Virginia Nunes (V)

Molecular Genetics Laboratory. Genes, Disease and Therapy Program IDIBELL, l'Hospitalet de Llobregat, Barcelona, Spain.
Genetics Unit. Physiological Sciences Department. Health Sciences and Medicine Faculty. University of Barcelona, l'Hospitalet de Llobregat, Barcelona, Spain.

Miguel López de Heredia (ML)

Centre for Biomedical Network Research on Rare Diseases (CIBERER), Instituto de Salud Carlos III, Madrid, Spain.

Fumihiko Urano (F)

Department of Medicine, Division of Endocrinology, Metabolism, and Lipid Research, Washington University School of Medicine, 660 South Euclid Avenue, St. Louis, MO 63110, USA.
Department of Pathology and Immunology, Washington University School of Medicine, 660 South Euclid Avenue, St. Louis, MO 63110, USA.

Classifications MeSH