INTRODUCTION: Transthyretin (TTR)-related amyloidosis is a life-threatening disease. Currently, several questions about the pathogenic mechanisms of TTR-related amyloidosis remain unanswered. METHODS: We have investigated various TTR-related issues using different in silico approaches. RESULTS: Using an amino acid similarity-based analysis, we have indicated the most relevant TTR secondary structures in determining mutation impact. Our amyloidogenic propensity analysis of TTR missense substitutions has highlighted a similar pattern for wild-type and mutated TTR amino β acid sequences. However, some mutations present differences with respect to the general distribution. We have identified non-coding variants in cis-regulatory elements of the TTR gene, and our analysis on V122I-related haplotypes has indicated differences in non-coding regulatory variants, suggesting differences among V122I carriers. The analysis of methylation status indicated CpG sites that may affect TTR expression. Finally, our interactive network analysis revealed functional partners of TTR that may play a modifier role in the pathogenesis of TTR-related amyloidosis. DISCUSSION AND CONCLUSION: Our data provided new insights into the pathogenesis of TTR-related amyloidosis that, if they were to be confirmed through experimental investigations, could significantly improve our understanding of the disease.
INTRODUCTION:Transthyretin (TTR)-related amyloidosis is a life-threatening disease. Currently, several questions about the pathogenic mechanisms of TTR-related amyloidosis remain unanswered. METHODS: We have investigated various TTR-related issues using different in silico approaches. RESULTS: Using an amino acid similarity-based analysis, we have indicated the most relevant TTR secondary structures in determining mutation impact. Our amyloidogenic propensity analysis of TTR missense substitutions has highlighted a similar pattern for wild-type and mutated TTR amino β acid sequences. However, some mutations present differences with respect to the general distribution. We have identified non-coding variants in cis-regulatory elements of the TTR gene, and our analysis on V122I-related haplotypes has indicated differences in non-coding regulatory variants, suggesting differences among V122I carriers. The analysis of methylation status indicated CpG sites that may affect TTR expression. Finally, our interactive network analysis revealed functional partners of TTR that may play a modifier role in the pathogenesis of TTR-related amyloidosis. DISCUSSION AND CONCLUSION: Our data provided new insights into the pathogenesis of TTR-related amyloidosis that, if they were to be confirmed through experimental investigations, could significantly improve our understanding of the disease.
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Authors: Gita A Pathak; Frank R Wendt; Antonella De Lillo; Yaira Z Nunez; Aranyak Goswami; Flavio De Angelis; Maria Fuciarelli; Henry R Kranzler; Joel Gelernter; Renato Polimanti Journal: Circ Genom Precis Med Date: 2021-01-11
Authors: Andrea Iorio; Flavio De Angelis; Marco Di Girolamo; Marco Luigetti; Luca G Pradotto; Anna Mazzeo; Sabrina Frusconi; Filomena My; Dario Manfellotto; Maria Fuciarelli; Renato Polimanti Journal: BMC Genomics Date: 2017-03-23 Impact factor: 3.969
Authors: Fabian aus dem Siepen; Ralf Bauer; Matthias Aurich; Sebastian J Buss; Henning Steen; Klaus Altland; Hugo A Katus; Arnt V Kristen Journal: Drug Des Devel Ther Date: 2015-12-04 Impact factor: 4.162
Authors: Daniel R Jacobson; Alice A Alexander; Clement Tagoe; W T Garvey; Scott M Williams; Sara Tishkoff; David Modiano; Sodiomon B Sirima; Issa Kalidi; Amadou Toure; Joel N Buxbaum Journal: Mol Genet Genomic Med Date: 2016-07-14 Impact factor: 2.183
Authors: Antonella De Lillo; Gita A Pathak; Flavio De Angelis; Marco Di Girolamo; Marco Luigetti; Mario Sabatelli; Federico Perfetto; Sabrina Frusconi; Dario Manfellotto; Maria Fuciarelli; Renato Polimanti Journal: Clin Epigenetics Date: 2020-11-17 Impact factor: 6.551