In Silico Analyses of All STAT3 Missense Variants Leading to Explore Divergent AD-HIES Clinical Phenotypes

Author:

Mansouri Mariam12ORCID,El Haddoumi Ghyzlane12,Bendani Houda12,Boumajdi Nasma12,Hakmi Mohammed12,Abbou Hanane23,Bouricha El Mehdi12,Elgharbaoui Boutaina12,Kartti Souad12,El Jaoudi Rachid124,Belyamani Lahcen235,Kandoussi Ilham12,Ibrahimi Azeddine123,El Hafidi Naima126ORCID

Affiliation:

1. Biotechnology lab (MedBiotech), Bioinova Research Center, Medical and Pharmacy School, Mohammed V University in Rabat, Morocco

2. Centre Mohammed VI of Research and Innovation (CM6), Rabat, Morocco

3. Mohammed VI University of Health Sciences (UM6SS), Casablanca, Morocco

4. Pharmacology and Toxicology Department, Faculty of Medicine and Pharmacy, University Mohamed V, Rabat, Morocco

5. Emergency Department, Military Hospital Mohammed V, Medical and Pharmacy School, Mohammed V University, Rabat, Morocco

6. Division of Pediatric immunoallergology and Infectious Diseases, Children University Hospital, Ibn Sina University Hospital, Rabat, Morocco

Abstract

Autosomal dominant hyper-IgE syndrome (AD-HIES) is linked to dominant negative mutations of the STAT3 protein whose molecular basis for dysfunction is unclear and presenting with a variety of clinical manifestations with only supportive treatment. To establish the relationship between the impact of STAT3 mutations in different domains and the severity of the clinical manifestations, 105 STAT3 mutations were analyzed for their impact on protein stability, flexibility, function, and binding affinity using in Silico approaches. Our results showed that 73% of the studied mutations have an impact on the physicochemical properties of the protein, altering the stability, flexibility and function to varying degrees. In particular, mutations affecting the DNA binding domain (DBD) and the Src Homology 2 (SH2) have a significant impact on the protein structure and disrupt its interaction either with DNA or other STAT3 to form a heterodomain complex, leading to severe clinical phenotypes. Collectively, this study suggests that there is a close relationship between the domain involving the mutation, the degree of variation in the properties of the protein and the degree of loss of function ranging from partial loss to complete loss, explaining the variability of clinical manifestations between mild and severe.

Funder

Institute of Cancer Research

Ministry of Higher Education and Scientific Research

Publisher

SAGE Publications

Subject

Computer Science Applications,Genetics,Ecology, Evolution, Behavior and Systematics

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