ABSTRACT
Aim To explore the active compound of Maxingganshi decoction in treatment of novel coronavirus pneumonia(COVID-19). Methods With the help of TCMSP database, the chemical components and action targets of ephedra, almond, licorice, and gypsum in Maxingganshi decoction were searched, and then a C-T network, protein interaction analysis, GO functional enrichment analysis, and KEGG pathway enrichment were constructed. Analysis was performed to predict its mechanism of action. Results A total of 120 compounds in Maxingganshi decoction corresponded to 222 targets. PTGS2, ESR1, PPARG, AR, NOS2, NCOA2 acted on PI3K-Akt signaling pathway, TNF signaling pathway, IL-17 signaling pathway, T cell receptor signaling pathways, etc. The results of molecular docking showed that the affinity of quercetin, kaempferol, glabridin and other core compounds was similar to recommended drugs in treatment of COVID-19. Conclusions The active compounds of Maxingganshi decoction can target multiple pathways to achieve the therapeutic effect of COVID-19.Copyright © 2020 Publication Centre of Anhui Medical University. All rights reserved.
ABSTRACT
Objectives: to determine the clinical and genetic determinants of the severe course of COVID-19 in pregnant women in order to identify a risk group and search for therapeutic targets. Materials and methods. 21 patients (group 1) with a severe course of COVID-19 who required intensive care in the Anesthesiology and Intensive Care Unit (AICU) and 126 pregnant women with moderate severity treated in the Infectious-Obstetrics Unit (IOCU) were examined (group 2). Genomic DNA for molecular genetic analysis of gene variants ACE (I/D, rs 4340), PGR (Alu insertion), ESR1 (A351G, rs 9340799), PON1 (C108T, rs 705379) was isolated from the peripheral blood of patients using a commercial Quick-DNA Miniprep Plus Kit (Zymo Research, USA). Variants of ACE and PGR genes were determined using allele-specific polymerase chain reaction;polymerase chain reaction followed by restriction analysis was used to determine ESR1 and PON1 gene variants. Results. Severe course of COVID-19 is observed in 18.2% of pregnant women, critical condition in 7.5%. A third of AICU patients are over 35 years old. Somatic anamnesis was complicated in 23.8% of patients;thyroid gland pathology (14.3%) and varicose disease (19.0%) prevailed. A significant factor in the severe course of COVID-19 is obesity of the III-IV degree in 28.5% cases. The severe course of the disease was associated with complications of pregnancy (oligohydramnios - 52.4%, ahydramnios - 14.3%, fetal growth retardation syndrome - 33.3%, circulatory disorders - 57.1%, fetal distress - 47.6%, preeclampsia - 14.3%), labor (caesarean section - 57.1%, premature birth - 28.6%), disorders of newborns state (asphyxia - 35.6%). These patients are characterized by anemia (58.7%), thrombocytopenia (23.8%), leukocytosis (33.3%), lymphopenia (90.5%), a shift of the leukocyte formula to the left (an increase of rod-nuclear leukocytes by 85.7%). There were significantly increased levels of transaminases: alanine aminotransferase in 47.6%, aspartate aminotransferase in 76.2%. Prothrombotic changes are indicated by a decrease in prothrombin time and activated partial thromboplastin time in 66.7%, which is confirmed by an increase in D-dimer in 85.7% of patients up to the maximum 15,000 ng/ml in 9.5% of women. An increase in inflammation markers (C-reactive protein and interleukin-6 in all AICU patients, procalcitonin in 66.7%) is a reflection of the destructive effect of inflammatory processes. The genetic determinants of the severe course of COVID-19 in pregnant women can be the ID genotype of the ACE I/D rs4340 polymorphism (81.0%), the T2/T2 PROGINS genotype (19.0%), the ESR1 A351G rs9340799 GG genotype (28.5%). Conclusions. The use of separate clinical, laboratory and genetic indicators in pregnant women with COVID-19 will contribute to the selection of the risk group of a coronavirus severe course and the determination of targets of therapeutic impact.Copyright © 2022 Trylyst. All rights reserved.
ABSTRACT
Objective: Traditional medicine is often considered to be a kind of complementary or alternative medicine (CAM) nowadays. Therefore, documenting and identifying the herbs that are effective in treating various diseases is vital for future disease control programs. This study aims to perform a molecular docking analysis of the thirteen plant components in Bauhinia acuminata against the target proteins in lung cancer (PDB IDs: 2ITY), breast cancer (1A52), diabetes (3L4U), obesity (IT02), inflammation (5COX) and corona viral infections (6VYO). Material(s) and Method(s): All the plant components used for the present study were retrieved from the plant Bauhinia acuminata and were evaluated for their biological activity results using molinspiration. Further in-silico docking analysis was performed using AutoDock Vina software and the binding interactions were visualized using Discovery studio program. Result and Discussion: The docking scores and analysis of the interactions of the plant components with targets suggest that all the selected plant components showed excellent binding to the chosen targets when compared to that of the standard drugs. As a result of the docking process on 6 different targets, the selected plant components like Quercetin, Beta-sitosterol, and Rheagenine were observed to show good binding energy values against all the 5 targets except 6VYO as shown in (Table 9). These results can further pave the way for getting better insights in identifying and designing potential lead candidates.Copyright © 2022 University of Ankara. All rights reserved.