Dynamics of the personalities of PCSK9 on missense variants (rs505151 and rs562556) from elderly cohort studies in Brazil.
Vitor Galvão LopesVictor Miranda FernandesLivia Mendonça Munhoz DatiMichel Satya NaslavskyGlaucio Monteiro FerreiraMario Hiroyuki HirataPublished in: Journal of biomolecular structure & dynamics (2023)
The Proprotein Convertase Subtilisin/Kexin Type 9 (PCSK9) promotes the degradation of the low-density lipoprotein receptors (LDLR). Gain-of-function (GOF) variants of PCSK9 significantly affects lipid metabolism leading to coronary artery disease (CAD), owing to the raising the plasma low-density lipoprotein (LDL). Considering the public health matter, large-scale genomic studies have been conducted worldwide to provide the genetic architecture of populations for the implementation of precision medicine actions. Nevertheless, despite the advances in genomic studies, non-European populations are still underrepresented in public genomic data banks. Despite this, we found two high-frequency variants (rs505151 and rs562556) in the ABraOM databank (Brazilian genomic variants) from a cohort SABE study conducted in the largest city of Brazil, São Paulo. Here, we assessed the structural and dynamical features of these variants against WT through a molecular dynamics study. We sought fundamental dynamical interdomain relations through Perturb Response Scanning (PRS) and we found an interesting change of dynamical relation between prodomain and Cysteine-Histidine-Rich-Domain (CHRD) in the variants. The results highlight the pivotal role of prodomain in the PCSK9 dynamic and the implications for the development of new drugs depending on patient group genotype.
Keyphrases
- low density lipoprotein
- copy number
- molecular dynamics
- high frequency
- coronary artery disease
- density functional theory
- public health
- genome wide
- healthcare
- transcranial magnetic stimulation
- mental health
- high resolution
- percutaneous coronary intervention
- type diabetes
- left ventricular
- autism spectrum disorder
- data analysis
- heart failure
- deep learning
- coronary artery bypass grafting
- mass spectrometry
- genetic diversity
- living cells
- case control