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Advanced Neurology                                                         Genomic insights into Alzheimer



            (with or without hemorrhage) and generally demonstrate   resultant structure, and physicochemical and biochemical
            greater Aβ deposition. These mutations predominantly   properties) emerge as critical components in fAD.
            occur within the Aβ peptide domain.                  It is important to acknowledge the limited literature on
              At present, limited research has delved into genotype-  clinical measures and phenotypes for certain mutations
            phenotype interactions across multiple mutations, as   included in this study, attributed to their scarcity in
            discussed above, regarding the pathogenicity of AD   reported cases. As a result, it became necessary to
            resulting from mutations in the APP gene. Two analogous   incorporate studies characterized by lower overall quality
            studies have investigated genotype-phenotype interactions   and smaller sample sizes, ensuring an adequate breadth of
            on  PSEN1  and  PSEN2 . Although both studies      comparative phenotypic data. Phenotypic findings derived
                     [57]
                                  [58]
            identified variations in pathogenesis and clinical outcomes   from  case  studies  were  also  integrated  where  essential,
            for specific mutations, the scarcity of available phenotypic   particularly in cases where only a limited number of
            descriptions limited the extent of these studies, resulting   families (1 – 2 families) with a specific mutation had been
            in few evident clinical genotype-phenotype correlations .  identified and studied for academic inclusion. Given the
                                                        [58]
              However, genotype-phenotype interactions and     rarity  of certain  APP mutation  subtypes  linked  to fAD
            correlations have been more extensively explored in various   pathology, the availability of experimentally identified
            familial pathologies resulting from germline mutations.   toxicity data for these specific AD mutation subtypes is
            The implications of these results across a broad spectrum   notably constrained. These limitations hinder our capacity
            of pathologies underscore the importance of deepening   to concretely validate the accuracy of our modeled toxicity
            our understanding of these interactions in AD, particularly   findings. Nevertheless, it is imperative to emphasize that all
            in genetically mediated cases such as those seen in fAD.  models underwent rigorous accuracy testing in accordance
                                                               with the relevant parameters, as delineated in Section 3.
              In a review article,  researchers identified a definitive
                             [59]
            link between the location of mutations in breast cancer   In addition to analyzing the impact of mutations on
            gene 1 (BRCA1) and breast cancer gene 2 (BRCA2)    the overall physical and chemical properties of the entire
            with exacerbated pathogenic outcomes in breast cancer   APP, there exists an avenue for further research that delves
            development. Notably,  mutations  occurring on  exon 11   into the potential phenotypic implications arising from
            exhibited a heightened propensity for inducing mutation-  substituted amino acid residues. Such an inquiry would
            mediated diseases. These mutations demonstrated a   involve a comprehensive exploration of the physicochemical
            consistent  correlation with an  earlier  age  of onset, as   properties associated with these pathogenic mutations.
            evidenced by multiple studies . A further study focused   Undertaking further research in this realm holds the
                                    [59]
            on germline mutations of  BRCA1 in breast and ovarian   promise of improving our mechanistic understanding of
            cancers further affirmed this correlation, linking the   fAD. A more robust evaluation of how the AD phenotype
            codon number of the gene mutation to the ratio of breast   responds to different variants within potentially pathogenic
            to ovarian cancer incidence . In concert with these   gene sequences can significantly contribute to improving
                                    [60]
            studies on mutation location with the  BRCA1 gene,   future diagnostics and therapeutics for AD.
            additional correlations emerged concerning variations in   5. Conclusion
            the structural modeling of individual mutations on BRCA1
            and their consequent physiological outcomes . Moreover,   Our investigation has unveiled a significant correlation
                                               [61]
            the present study unveiled molecular and pathological   between the location of genetic mutations within the protein
            differences among mutations, underscoring the diverse   sequence and specific physicochemical properties, as well
            physiological outcomes associated with each mutation.  as clinical presentations among different fAD subtypes.
                                                               This insight underscores the intricate relationship between
              Similar correlations have been identified in Kirsten rat
            sarcoma  viral  oncogene  homolog  (KRAS)-driven  tumors.   genetic variations and the resultant clinical heterogeneity
            A study conducted by Hunter et al. indicated that assessing   within the fAD spectrum.
            the structural and biochemical properties of KRAS mutations   Notably, mutations that exhibited higher structural
            (genetic drivers in various cancers) can offer valuable insights   similarity when superimposed tended to manifest
            into the pathogenicity and potential therapeutic approaches   analogous physical and clinical characteristics. This
            for the resultant tumors . The discoveries elucidated in   observation highlights the relevance of shared structural
                               [62]
            these cancer studies highlight the potential implications   features in predicting clinical outcomes across certain fAD
            of advancing our understanding of genotype-phenotype   subtypes. However, the converse is also true, as our analysis
            interactions. Moreover, the complex intermediaries   unveiled varying neuropathological findings that exhibited a
            governing these relationships (including mutation location,   stronger correlation with increasing epitope toxicity burden.


            Volume 2 Issue 4 (2023)                         16                        https://doi.org/10.36922/an.1734
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