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Vol. 69 No. 10: Issue 10

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Computational analysis of missense variants of human MC4R and childhood obesity

Missense variants of human MC4R and childhood obesity
https://doi.org/10.14715/cmb/2023.69.10.5
Imane Douiyeh
Laboratory Biochemistry Environment and Agri-food, Department of Biology, Faculty of Science and Technics Mohammedia, Hassan II University Casablanca, Morocco
Jihane Khamlich
Laboratory Biochemistry Environment and Agri-food, Department of Biology, Faculty of Science and Technics Mohammedia, Hassan II University Casablanca, Morocco
Asmae Saih
Laboratory of Biology and Health, URAC 34, Faculty of Sciences Ben M’Sik Hassan II University of Casablanca, Morocco
Asmae Baggar
Laboratory Biochemistry Environment and Agri-food, Department of Biology, Faculty of Science and Technics Mohammedia, Hassan II University Casablanca, Morocco
Anass Kettani
Laboratory of Biology and Health, URAC 34, Faculty of Sciences Ben M’Sik Hassan II University of Casablanca, Morocco
Amal Safi
Laboratory Biochemistry Environment and Agri-food, Department of Biology, Faculty of Science and Technics Mohammedia, Hassan II University Casablanca, Morocco

Corresponding Author(s) : Imane Douiyeh

imane.douiyeh-etu@etu.univh2c.ma

Cellular and Molecular Biology, Vol. 69 No. 10: Issue 10

Abstract

Industrialized and developing nations face severe public health problems related to childhood obesity. Previous studies revealed that the melanocortin-4 receptor gene (MC4R) is the most prevalent monogenic cause of severe early obesity. Due to its influence on food intake and energy expenditure via neuronal melanocortin-4 receptor pathways, MC4R is recognized as a regulator of energy homeostasis. This study used a variety of computational systems to analyze 273 missense variations of MC4R in silico. Several tools, including PolyPhen, PROVEAN, SIFT, SNAP2, MutPred2, PROVEAN, SNP&GO and Mu-Pro, I-Mutant, PhD-SNP, SAAFEC-SEQ I-Mutant, and ConSurf, were used to make predictions of 13 extremely confident nsSNPs that are harmful and disease-causing (E308k, P299L, D298H, C271F, C271R, P260L, T246N, G243R, C196Y, W174C, Y157S, D126Y, and D90G). The results of our study suggest that these MC4R nsSNPs may disrupt normal protein function, leading to an increased risk of childhood obesity. These results highlight the potential use of these nsSNPs as biomarkers to predict susceptibility to obesity and as targets for personalized interventions.

Keywords

Mc4r childhood obesity snp prediction pathogenicity
Douiyeh, I., Khamlich, J., Saih, A., Baggar, A., Kettani, A., & Safi, A. (2023). Computational analysis of missense variants of human MC4R and childhood obesity: Missense variants of human MC4R and childhood obesity . Cellular and Molecular Biology, 69(10), 30–42. https://doi.org/10.14715/cmb/2023.69.10.5
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Author Biographies

Jihane Khamlich, Laboratory Biochemistry Environment and Agri-food, Department of Biology, Faculty of Science and Technics Mohammedia, Hassan II University Casablanca, Morocco

 

 

Asmae Saih, Laboratory of Biology and Health, URAC 34, Faculty of Sciences Ben M’Sik Hassan II University of Casablanca, Morocco

 

 

Asmae Baggar, Laboratory Biochemistry Environment and Agri-food, Department of Biology, Faculty of Science and Technics Mohammedia, Hassan II University Casablanca, Morocco

 

 

Anass Kettani, Laboratory of Biology and Health, URAC 34, Faculty of Sciences Ben M’Sik Hassan II University of Casablanca, Morocco

 

 

Amal Safi, Laboratory Biochemistry Environment and Agri-food, Department of Biology, Faculty of Science and Technics Mohammedia, Hassan II University Casablanca, Morocco

 

 

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