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Bashkirov, P. V.

Publications and source records attributed to Bashkirov, P. V..

2 recordsLinked to original sources

Membrane lipid reshaping underlies oxidative stress sensing by the mitochondrial proteins UCP1 and ANT1

Oxidative stress and ROS are important players in the pathogenesis of several diseases. Besides the direct modification of proteins, ROS modify lipids with negative spontaneous curvature, such as phosphatidylethanolamine (PE), producing PE adducts and lysolipids. The formation of PE-adducts potentiates the protonophoric activity of the uncoupling protein 1 (UCP1), but the molecular mechanism remains obscure. Here, we connected the ROS-mediated lipid shape alteration with the membrane mechanical properties and function of UCP1 and adenine nucleotide translocase 1 (ANT1). We found that lysophosphatidylcholines (OPC and MPC) and PE adducts decrease a bending modulus in lipid bilayers and increase the protonophoric activity of both proteins. Furthermore, MD simulations revealed that modified PEs and lysolipids alter the membrane lateral pressure profile in the same direction and range, indicating that modified PEs act as lipids with positive spontaneous curvature. Both results indicate that oxidative stress decreases stored curvature elastic stress (SCES) in the lipid bilayer membrane. In conclusion, we demonstrate that UCP1 and ANT1 sense SCES and propose a new regulatory mechanism for the function of these proteins.

biophysics↗

Analysis of the upper respiratory tract microbiota in mild and severe COVID-19 patients

The microbiota of the respiratory tract remains a relatively poorly studied subject. At the same time, like the intestinal microbiota, it is involved in modulating the immune response to infectious agents in the host organism. A causal relationship between the composition of the respiratory microbiota and the likelihood of development and the severity of COVID-19 may be hypothesized. We analyze biomaterial from nasopharyngeal smears from 336 patients with a confirmed diagnosis of COVID-19, selected during the first and second waves of the epidemic in Russia. Sequences from a similar study conducted in Spain were also included in the analysis. We investigated associations between disease severity and microbiota at the level of microbial community (community types) and individual microbes (differentially represented species). To search for associations, we performed multivariate analysis, taking into account comorbidities, type of community and lineage of the virus. We found that two out of six community types are associated with a more severe course of the disease, and one of the community types is characterized by high stability (very similar microbiota profiles in different patients) and low level of lung damage. Differential abundance analysis with respect to comorbidities and community type suggested association of Rothia and Streptococcus genera representatives with more severe lung damage, and Leptotrichia, unclassified Lachnospiraceae and Prevotella with milder forms of the disease.

molecular biology↗