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Redouane S, Charoute H, Harmak H, Malki A, Barakat A, Rouba H. Computational study of the potential impact of AURKC missense SNPs on AURKC-INCENP interaction and their correlation to macrozoospermia. J Biomol Struct Dyn 2023; 41:9503-9522. [PMID: 36326488 DOI: 10.1080/07391102.2022.2142846] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2022] [Accepted: 10/27/2022] [Indexed: 11/06/2022]
Abstract
Aurora Kinase C (AURKC) is considered an important element in Chromosome Passenger Complex (CPC), its interaction with Inner Centromere Protein (INCENP) plays a critical role in the establishment and the recruitment of a stable CPC during spermatogenesis. Genetic variations of AURKC gene are susceptible to impact AURKC-INCENP interaction, which may affect CPC stability and predispose male subjects to macrozoospermia. In this study, we systematically applied computational approaches using different bioinformatic tools to predict the effect of missense SNPs reported on AURKC gene, we selected the deleterious ones and we introduced their corresponding amino acid substitutions on AURKC protein structure. Then we did a protein-protein docking between AURKC variants and INCENP followed by a structural assessment of each resulting complex using PRODIGY server, Yassara view, Ligplot + and we choose the complexes of the most impactful variants for molecular dynamics (MD) simulation study. Seventeen missense SNPs of AURKC were identified as deleterious between all reported ones. All of them were located on relatively conserved positions on AURKC protein according to Consurf server. Only the four missense SNPs; E91K, D166V, D221Y and G235V were ranked as the most impactful ones and were chosen for MD simulation. D221Y and G235V were responsible for the most remarkable changes on AURKC-INCENP structural stability, therefore, they were selected as the most deleterious ones. Experimental studies are recommended to test the actual effect of these two variants and their actual impact on the morphology of sperm cells.Communicated by Ramaswamy H. Sarma.
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Affiliation(s)
- Salaheddine Redouane
- Laboratory of Genomics and Human Genetics, Institut Pasteur du Maroc, Casablanca, Morocco
- Laboratory of Physiopathology and Molecular Genetics, Department of Biology, Faculty of Sciences Ben M'Sik, Hassan II University, Casablanca, Morocco
| | - Hicham Charoute
- Research Unit of Epidemiology, Biostatistics and Bioinformatics, Institut Pasteur du Maroc, Casablanca, Morocco
| | - Houda Harmak
- Laboratory of Genomics and Human Genetics, Institut Pasteur du Maroc, Casablanca, Morocco
| | - Abderrahim Malki
- Laboratory of Physiopathology and Molecular Genetics, Department of Biology, Faculty of Sciences Ben M'Sik, Hassan II University, Casablanca, Morocco
| | - Abdelhamid Barakat
- Laboratory of Genomics and Human Genetics, Institut Pasteur du Maroc, Casablanca, Morocco
| | - Hassan Rouba
- Laboratory of Genomics and Human Genetics, Institut Pasteur du Maroc, Casablanca, Morocco
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Bouafi H, Krami AM, Morjane I, Slaoui K, Harmak H, Charoute H, Saile R, Barakat A. Genetic Association of LEP Gene Polymorphisms with Obesity in Moroccan Individuals: Case-Control Study and Updated Meta-analysis. Biochem Genet 2023; 61:1758-1774. [PMID: 36792840 DOI: 10.1007/s10528-023-10342-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2022] [Accepted: 02/02/2023] [Indexed: 02/17/2023]
Abstract
Obesity is a global epidemic disease representing the fifth leading cause of death in the world. It was shown that it is caused by the interaction between environmental factors and genes including leptin gene (LEP). This paper aimed to analyze the association between the LEP gene polymorphisms rs7799039 and rs11761556 with obesity in Moroccan individuals as well as to perform an update meta-analysis of this genetic association. Both polymorphisms were genotyped in 146 obesity patients and 104 controls using real-time PCR technique. The genetic association analysis and the comparison of quantitative parameters were carried out using the R language. Moreover, a meta-analysis including 20 genetic association studies was performed using Review Manager 5.3 software. No significant association was found between the polymorphisms rs7799039 and rs11761556 and the risk of obesity. The comparison of biochemical and clinical parameters between the genotypes of the rs7799039 polymorphism, showed a significant increased triglycerides levels in carriers of AA or GA genotypes (P value = 0.040). The meta-analysis showed no significant association between the rs7799039 polymorphism and obesity under all genetic models. In conclusion, the case-control study and meta-analysis demonstrated that the LEP gene polymorphisms rs7799039 and rs11761556 cannot be considered as genetic risk factors for obesity.
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Affiliation(s)
- Hind Bouafi
- Biology and Health Laboratory, Health and Biotechnology Research Center, Ben M'Sik Faculty of Sciences, Hassan II University of Casablanca, Casablanca, Morocco
- Human Genomics and Genetics Laboratory, Institut Pasteur du Maroc, Casablanca, Morocco
| | - Al Mehdi Krami
- Human Genomics and Genetics Laboratory, Institut Pasteur du Maroc, Casablanca, Morocco
| | - Imane Morjane
- Human Genomics and Genetics Laboratory, Institut Pasteur du Maroc, Casablanca, Morocco
| | - Kenza Slaoui
- Human Genomics and Genetics Laboratory, Institut Pasteur du Maroc, Casablanca, Morocco
| | - Houda Harmak
- Human Genomics and Genetics Laboratory, Institut Pasteur du Maroc, Casablanca, Morocco
| | - Hicham Charoute
- Research Unit of Epidemiology, Biostatistics and Bioinformatics, Institut Pasteur du Maroc, Casablanca, Morocco
| | - Rachid Saile
- Biology and Health Laboratory, Health and Biotechnology Research Center, Ben M'Sik Faculty of Sciences, Hassan II University of Casablanca, Casablanca, Morocco
| | - Abdelhamid Barakat
- Human Genomics and Genetics Laboratory, Institut Pasteur du Maroc, Casablanca, Morocco.
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Redouane S, Harmak H, Elkarhat Z, Charoute H, Malki A, Barakat A, Rouba H. Exploring the impact of CYP11A1's missense SNPs on the interaction between CYP11A1 and cholesterol: A comprehensive structural analysis and MD simulation study. Comput Biol Chem 2023; 106:107937. [PMID: 37552904 DOI: 10.1016/j.compbiolchem.2023.107937] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2023] [Revised: 07/30/2023] [Accepted: 07/31/2023] [Indexed: 08/10/2023]
Abstract
The process of steroidogenesis plays a vital role in human physiology as it governs the biosynthesis of mineralocorticoids, glucocorticoids, and androgens. These three classes of steroid hormones are primarily produced in the adrenal and gonadal glands through steroidogenesis pathways. Initiated by the side chain cleavage of cholesterol (CLR), this process leads to the conversion of cholesterol into pregnenolone and isocaproic aldehyde. The enzyme CYP11A1, encoded by the CYP11A1 gene, plays a key role in catalyzing the side chain cleavage of CLR. Several single nucleotide polymorphisms (SNPs) have been identified in the CYP11A1 gene, which may predispose carriers to disorders associated with abnormal steroidogenesis. Specifically, missense SNPs in the CYP11A1 gene have the potential to negatively impact the interaction between CYP11A1 and CLR, thus affecting the overall metabolome of steroid hormones. In this computational study, we focused on a specific set of missense SNPs reported in the CYP11A1 gene, aiming to identify variants that directly impact the interaction between CYP11A1 and CLR. The three-dimensional structure of the CYP11A1-CLR complex was obtained from the RCSB Protein Data Bank, while missense SNPs in the CYP11A1 gene were retrieved from Ensembl. To predict the most deleterious variants, we utilized the ConSurf server, SIFT, and PolyPhen. Furthermore, we assessed the impact of induced amino acid (AA) substitutions on the CYP11A1-CLR interaction using the PRODIGY server, PyMol, and Ligplot programs. Additionally, molecular dynamics (MD) simulations were conducted to analyze the effects of deleterious variants on the structural dynamics of the CYP11A1-CLR complex. Among the 8096 retrieved variants, we identified ten missense SNPs (E91K, W147G, R151W, R151Q, S391C, V392M, Q395K, Q416E, R460W, and R460Q) as deleterious for the interaction between CYP11A1 and CLR. MD simulations of the CYP11A1-CLR complexes carrying these deleterious AA substitutions revealed that Q416E, W147G, R460Q, and R460W had the most pronounced impacts on the structural dynamics of the complex. Consequently, these missense SNPs were considered the most deleterious ones. Further functional tests are recommended to assess the impact of these four missense SNPs on the enzymatic activity of CYP11A1. Moreover, Genome-Wide Association Studies (GWAS) should be conducted to determine the significance of their association with abnormal steroidogenesis diseases in various patient groups.
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Affiliation(s)
- Salaheddine Redouane
- Laboratory of Genomics and Human Genetics, Institut Pasteur du Maroc, Casablanca, Morocco; Laboratory of Physiopathology and Molecular Genetics, Department of Biology, Faculty of Sciences Ben M'Sik, Hassan II University, Casablanca, Morocco.
| | - Houda Harmak
- Laboratory of Genomics and Human Genetics, Institut Pasteur du Maroc, Casablanca, Morocco
| | - Zouhair Elkarhat
- Laboratory of Genomics and Human Genetics, Institut Pasteur du Maroc, Casablanca, Morocco
| | - Hicham Charoute
- Research Unit of Epidemiology, Biostatistics and Bioinformatics, Institut Pasteur du Maroc, Casablanca, Morocco
| | - Abderrahim Malki
- Laboratory of Physiopathology and Molecular Genetics, Department of Biology, Faculty of Sciences Ben M'Sik, Hassan II University, Casablanca, Morocco
| | - Abdelhamid Barakat
- Laboratory of Genomics and Human Genetics, Institut Pasteur du Maroc, Casablanca, Morocco
| | - Hassan Rouba
- Laboratory of Genomics and Human Genetics, Institut Pasteur du Maroc, Casablanca, Morocco
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Harmak H, Redouane S, Charoute H, Aniq Filali O, Barakat A, Rouba H. In silico exploration and molecular dynamics of deleterious SNPs on the human TERF1 protein triggering male infertility. J Biomol Struct Dyn 2023; 41:14665-14688. [PMID: 36995171 DOI: 10.1080/07391102.2023.2193995] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2022] [Accepted: 02/18/2023] [Indexed: 03/31/2023]
Abstract
By limiting chromosome erosion and end-to-end fusions, telomere integrity is critical for chromosome stability and cell survival. During mitotic cycles or due to environmental stresses, telomeres become progressively shorter and dysfunctional, thus triggering cellular senescence, genomic instability and cell death. To avoid such consequences, the telomerase action, as well as the Shelterin and CST complexes, assure the telomere's protection. Telomeric repeat binding factor 1 (TERF1), which is one of the primary components of the Shelterin complex, binds directly to the telomere and controls its length and function by regulating the telomerase activity. Several reports about TERF1 gene variations have been associated with different diseases, and some of them have linked these variations to male infertility. Hence, this paper can be advantageous to investigate the association between the missense variants of the TERF1 gene and the susceptibility to male infertility. The stepwise prediction of SNPs pathogenicity followed in this study was based on stability and conservation analysis, post-translational modification, secondary structure, functional interaction prediction, binding energy evaluation and finally molecular dynamic simulation. Prediction matching among the tools revealed that out of 18 SNPs, only four (rs1486407144, rs1259659354, rs1257022048 and rs1320180267) were predicted as the most damaging and highly deleterious SNPs affecting the TERF1 protein and its molecular dynamics when interacting with the TERB1 protein by influencing the function, structural stability, flexibility and compaction of the overall complex. Interestingly, these polymorphisms should be considered during genetic screening so they can be used effectively as genetic biomarkers for male infertility diagnosis.Communicated by Ramaswamy H. Sarma.
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Affiliation(s)
- Houda Harmak
- Laboratory of Genomics and Human Genetics, 1, Place Louis Pasteur, Institut Pasteur du Maroc, Casablanca, Morocco
- Laboratory of Physiopathology, Molecular Genetics and Biotechnology, Department of Biology, Faculty of Sciences Ain Chock, Hassan II University, Casablanca, Morocco
| | - Salaheddine Redouane
- Laboratory of Genomics and Human Genetics, 1, Place Louis Pasteur, Institut Pasteur du Maroc, Casablanca, Morocco
| | - Hicham Charoute
- Research Unit of Epidemiology, Biostatistics and Bioinformatics, Institut Pasteur du Maroc, Casablanca, Morocco
| | - Ouafaa Aniq Filali
- Laboratory of Physiopathology, Molecular Genetics and Biotechnology, Department of Biology, Faculty of Sciences Ain Chock, Hassan II University, Casablanca, Morocco
| | - Abdelhamid Barakat
- Laboratory of Genomics and Human Genetics, 1, Place Louis Pasteur, Institut Pasteur du Maroc, Casablanca, Morocco
| | - Hassan Rouba
- Laboratory of Genomics and Human Genetics, 1, Place Louis Pasteur, Institut Pasteur du Maroc, Casablanca, Morocco
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