INPS and I-Mutant 2.0: Predicting the Impact of Variations on Apoe Protein Stability
Keywords:
ApoE gene, Cardiovascular Disease, INPS, I-Mutant 2.0, Protein StabilityAbstract
Cardiovascular diseases are associated with apolipoprotein E (ApoE), a crucial lipid transport protein. APOE gene mutations can have a substantial impact on protein stability, which can alter treatment approaches and disease risk. This study uses I-Mutant 2.0 and INPS, two computational techniques, to assess the effect of 31 single nucleotide variants (SNVs) on ApoE stability. In I-Mutant 2.0, mutations are classified as either destabilizing or stabilizing, while INPS gives numerical ΔΔG values. The findings suggest that 77.4% of mutations result in reduced stability, with the largest destabilizing effects occurring in L38P, W58S, and L72P. G9V and A85V were the most stabilizing mutations, with just 7 mutations (22.6%) projected to increase stability. Even though the two tools have a 71% consistency rate, there are some differences, especially between L38P and R49P, which show how different the computational techniques are. According to the results, stabilizing mutations may offer therapeutic insights, while destabilizing variants may be linked to ApoE malfunction and the advancement of disease. For ApoE-related disorders, future research should combine clinical data, molecular simulations, and experimental validation to improve mutation impact predictions and develop tailored treatment.
References
Gaziano, T., Reddy, K. S., Paccaud, F., Horton, S., & Chaturvedi, V. (2006). Cardiovascular disease. Disease Control Priorities in Developing Countries. 2nd edition.
World Health Organization. (2002). The world health report 2002: reducing risks, promoting healthy life. World Health Organization
Sattar, N., McMurray, J., Borén, J., Rawshani, A., Omerovic, E., Berg, N., Halminen, J., Skoglund, K., Eliasson, B., Gerstein, H. C., McGuire, D. K., Bhatt, D., & Rawshani, A. (2023). Twenty Years of Cardiovascular Complications and Risk Factors in Patients With Type 2 Diabetes: A Nationwide Swedish Cohort Study. Circulation, 147(25), 1872–1886. https://doi.org/10.1161/CIRCULATIONAHA.122.063374
De Rosa, S., Arcidiacono, B., Chiefari, E., Brunetti, A., Indolfi, C., & Foti, D. P. (2018). Type 2 Diabetes Mellitus and Cardiovascular Disease: Genetic and Epigenetic Links. Frontiers in endocrinology, 9, 2. https://doi.org/10.3389/fendo.2018.00002
Zeng Y, Wen S, Huan L, Xiong L, Zhong B, Wang P. Association of ApoE gene polymorphisms with serum lipid levels and the risk of type 2 diabetes mellitus in the Chinese Han population of central China. PeerJ. 2023 Apr 24;11:e15226. doi: 10.7717/peerj.15226. PMID: 37123009; PMCID: PMC10135405.
Abondio, P., Sazzini, M., Garagnani, P., Boattini, A., Monti, D., Franceschi, C., ... & Giuliani, C. (2019). The genetic variability of APOE in different human populations and its implications for longevity. Genes, 10(3), 222.
Raichlen, D. A., & Alexander, G. E. (2014). Exercise, APOE genotype, and the evolution of the human lifespan. Trends in neurosciences, 37(5), 247-255
A, T., D, T. K., Roy, D., Pradhan, S., Kumar, Y., Tandon, N., … vp, A. (2024, November 12). ApoE Gene Polymorphism and Cardiovascular Risk in Type 2 Diabetic Patients: A Systematic Review. https://doi.org/10.17605/OSF.IO/R36TS
Page M J, McKenzie J E, Bossuyt P M, Boutron I, Hoffmann T C, Mulrow C D et al. The PRISMA 2020 statement: an updated guideline for reporting systematic reviews BMJ 2021; 372 :n71 doi:10.1136/bmj.n71
Nadeem S, Maqbool T, Qureshi JA, Altaf A, Naz S, Azhar MM, Ullah I, Shah TA, Qamar MU, Salamatullah AM. Apolipoprotein E Gene Variation in Pakistani Subjects with Type 2 Diabetes with and without Cardiovascular Complications. Medicina (Kaunas). 2024 Jun 10;60(6):961. doi: 10.3390/medicina60060961. PMID: 38929578; PMCID: PMC11205396.
El-Lebedy D, Raslan HM, Mohammed AM. Apolipoprotein E gene polymorphism and risk of type 2 diabetes and cardiovascular disease. Cardiovasc Diabetol. 2016 Jan 22;15:12. doi: 10.1186/s12933-016-0329-1. Erratum in: Cardiovasc Diabetol. 2016 Feb 18;15:35. doi: 10.1186/s12933-016-0354-0. PMID: 26800892; PMCID: PMC4724147.
Tahseen, T. H. (2022). The effect of using master learning in a changing exercise style for some tennis skills of young people. Sciences Journal Of Physical Education, 15(2).
Chen, W., Li, B., Wang, H., Wei, G., Chen, K., Wang, W., Wang, S., & Liu, Y. (2024). Apolipoprotein E E3/E4 genotype is associated with an increased risk of type 2 diabetes mellitus complicated with coronary artery disease. BMC Cardiovascular Disorders, 24(1). https://doi.org/10.1186/s12872-024-03831-0
Zeng, Y., Wen, S., Huan, L., Xiong, L., Zhong, B., & Wang, P. (2023). Association of ApoE gene polymorphisms with serum lipid levels and the risk of type 2 diabetes mellitus in the Chinese Han population of central China. PeerJ, 11, e15226. 10.7717/peerj.15226
Sapkota B, Subramanian A, Priamvada G, Finely H, Blackett PR, Aston CE, Sanghera DK. Association of APOE polymorphisms with diabetes and cardiometabolic risk factors and the role of APOE genotypes in response to anti-diabetic therapy: results from the AIDHS/SDS on a South Asian population. J Diabetes Complications. 2015 Nov-Dec;29(8):1191-7. doi: 10.1016/j.jdiacomp.2015.07.025. Epub 2015 Aug 1. PMID: 26318958; PMCID: PMC4656127.
Mohammed, A. A., & Sonawane, K. D. (2022). Destabilizing Alzheimer's Aβ42 protofibrils with oleocanthal: In-silico approach. BIOINFOLET-A Quarterly Journal of Life Sciences, 19(3), 288-295.
Capriotti, E., Fariselli, P., & Casadio, R. (2005). I-Mutant2.0: predicting stability changes upon mutation from the protein sequence or structure. Nucleic Acids Research, 33(suppl_2), W306-W310. https://doi.org/10.1093/nar/gki375
Yaseen, O. Q.(2023). Sorting Intolerant from Tolerant and PolyPhen-2 Algorithms: A Variation in Exon 14 of ATP7B Gene among 4 West Iraqi Families with Wilson Disease. AL-ANBAR MEDICAL JOURNAL,.
Fariselli, P., Martelli, P. L., Savojardo, C., & Casadio, R. (2015). INPS: predicting the impact of non-synonymous variations on protein stability from sequence. Bioinformatics, 31(17), 2816-2821. https://doi.org/10.1093/bioinformatics/btv291
Omar Qahtan yaseen,Asra’a Adnan Abdul-Jali.(2024).Predicting Functional Impacts of Amino Acid Substitutions in Exon 21 of the ATP7B Gene for Wilson Disease Diagnosis,8,3,1-6.