I.M. Sechenov First Moscow State Medical University

About: I.M. Sechenov First Moscow State Medical University is a education organization based out in Moscow, Russia. It is known for research contribution in the topics: Medicine & Population. The organization has 7984 authors who have published 9355 publications receiving 68997 citations.

Corona-Triggered Global Macroeconomic Crisis of the Early 2020s.

Abstract: Long-lasting economic recessions spreading from initial cradle markets worldwide should be a periodic event inherent to capitalism as a prevailing socio-economic model [...].

Creating an optimal environment for distance learning in higher education: discovering leadership issues

Abstract: Current literature does not provide exhaustive information about leadership as part of teaching and learning. The distance learning format creates a platform for developing leadership skills. However, this form of education is often confused with the denial of the importance of education and the ideas of “unschooling”, which leads to a negative attitude in society towards extramural forms of study. This study demonstrates the value of distance learning in the education system, and describes specific leadership skills that can be improved through distance learning. The study disproves unconfirmed judgments and cliches about detachment, loneliness, and the degradation of communicative competencies among distance learning students. The study as well outlines the impact of extramural forms of study on the development of inclusiveness and tolerance for self-expression in educational classes. Thus, it has been proven that distance learning has a positive influence on skills development.

1064 nm Nd:YAG laser light affects transmembrane mitochondria respiratory chain complexes.

Abstract: Photobiomodulation (PBM) is a non-plant-cell manipulation through a transfer of energy by means of light sources at the non-ablative or thermal intensity. Authors showed that cytochrome-c-oxidase (complex IV) is the specific chromophore's target of PBM at the red (600-700 nm) and NIR (760-900 nm) wavelength regions. Recently, it was suggested that the infrared region of the spectrum could influence other chromospheres, despite the interaction by wavelengths higher than 900 nm with mitochondrial chromophores was not clearly demonstrated. We characterized the interaction between mitochondria respiratory chain, malate dehydrogenase, a key enzyme of Krebs cycle, and 3-hydroxyacyl-CoA dehydrogenase, an enzyme involved in the β-oxidation (two mitochondrial matrix enzymes) with the 1064 nm Nd:YAG (100mps and 10 Hz frequency mode) irradiated at the average power density of 0.50, 0.75, 1.00, 1.25 and 1.50 W/cm2 to generate the respective fluences of 30, 45, 60, 75 and 90 J/cm2 . Our results show the effect of laser light on the transmembrane mitochondrial complexes I, III, IV and V (adenosine triphosphate synthase) (window effects), but not on the extrinsic mitochondrial membrane complex II and mitochondria matrix enzymes. The effect is not due to macroscopical thermal change. An interaction of this wavelength with the Fe-S proteins and Cu-centers of respiratory complexes and with the water molecules could be supposed.

Withdrawal of inhaled corticosteroids in COPD patients: rationale and algorithms.

Abstract: Observational studies indicate that overutilization of inhaled corticosteroids (ICS) is common in patients with chronic obstructive pulmonary disease (COPD). Overprescription and the high risk of serious ICS-related adverse events make withdrawal of this treatment necessary in patients for whom the treatment-related risks outweigh the expected benefits. Elaboration of an optimal, universal, user-friendly algorithm for withdrawal of ICS therapy has been identified as an important clinical need. This article reviews the available evidence on the efficacy, risks, and indications of ICS in COPD, as well as the benefits of ICS treatment withdrawal in patients for whom its use is not recommended by current guidelines. After discussing proposed approaches to ICS withdrawal published by professional associations and individual authors, we present a new algorithm developed by consensus of an international group of experts in the field of COPD. This relatively simple algorithm is based on consideration and integrated assessment of the most relevant factors (markers) influencing decision-making, such a history of exacerbations, peripheral blood eosinophil count, presence of infection, and risk of community-acquired pneumonia.