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Blanco-Rodriguez, R.

Publications and source records attributed to Blanco-Rodriguez, R..

2 recordsLinked to original sources

Atomistic molecular insight on Angiotensin-(1-7) inter-peptide interactions

Angiotensin-(1-7) is an endogenous peptide with vaso-protective, anti-oxidant, and anti-inflammatory effects which has been proposed as a potential therapeutic agent in a wide range of clinical conditions. Angiotensin-(1-7) presents a pH-dependent physical instability in aqueous solutions; however, it still lacks a proper atomistic study that provides insights into this behavior and its potential implications. Hence, we studied the formation of early Angiotensin-(1-7) oligomeric aggregates in an aqueous environment under acidic and neutral conditions; physiological and high ionic strength; and high and low peptide concentrations using all-atom Molecular Dynamics simulations. Our main findings are: 1) at acidic pH, there is a poor level of Angiotensin-(1-7) clustering, while, 2) at neutral pH, peptides aggregate in a unique cluster, in good trend with experimental physical instability reports and 3) an increase in salt concentration at acidic pH gives place to aggregation similar to the case at neutral pH. Our results open the route for the modulation of Angiotensin-(1-7) aggregation through a combination of salt concentration and pH conditions. Our protocol (MD + cluster analysis + amino acids interaction map analysis) is general and could be applied to other peptides to study the inter-peptide interaction mechanisms.

biophysics↗

Untangling the cell immune response dynamic for severe and critical cases of SARS-CoV-2 infection

COVID-19 is a global pandemic leading high death tolls worldwide day by day. Clinical evidence suggests that COVID-19 patients can be classified as non-severe, severe and critical cases. In particular, studies have highlighted the relationship between the lymphopenia and the severity of the illness, where CD8+ T cells have the lowest levels in critical cases. In this work, we aim to elucidate the key parameters that define the course of the disease deviating from severe to critical case. To this end, several mathematical models are proposed to represent the dynamic of the immune response in patients with SARS-CoV-2 infection. The best model had a good fit to reported experimental data, and in accordance with values found in the literature. Our results suggest that a rapid proliferation of CD8+ T cells is decisive in the severity of the disease.

biophysics↗