Psychiatric Symptoms and Fatigue in COVID-19 Survivors.

INTRODUCTION: Psychiatric symptoms and fatigue are common after the coronavirus disease 2019 (COVID-19) illness. The cause of these symptoms is direct neuronal injury and indirect injury with immune-mediated inflammation. In addition, social factors also affect mental health. OBJECTIVE: We aim to compare psychiatric symptoms and fatigue between COVID-19 survivors and healthy controls. MATERIAL AND METHODS: We prospectively evaluated 100 COVID-19 survivors for anxiety, depression, positive affect, and behavior control using the Mental Health Inventory (MHI). Fatigue is assessed using the Modified Fatigue Impact Scale (MFIS) score. We compared them with 100 healthy controls. RESULTS: There was a significant statistical difference between the MHI score and individual components of MHI. Overall, MHI scores in cases and controls were 79.41 and 93.31, respectively, with a P value of less than 0.0001. Computed scores for anxiety, depression, behavior control, and positive affect of COVID-19 survivors showed statistically significant differences as compared to healthy controls. There was a weak association between hospital stay duration and poor MHI scores. Fatigue was significantly worse in COVID-19 survivors, with a mean score of 6.93 in cases and 5.35 in controls, with a P value of 0.0001. This was a cross-sectional study evaluating psychiatric symptom scores, but not establishing the diagnosis. It is suggested that appropriate treatment and counseling for these symptoms should be done. CONCLUSIONS: Psychiatric symptoms and fatigue were significantly more common in COVID-19 patients after recovery from acute illness. It is a major contributing cause of morbidity other than organic complications of COVID-19 and requires attention in management.

GC-MS and NMR spectroscopy based metabolite profiling of Panchvalkal kwath (polyherbal formulation).

Panchvalkal kwath (PK) is a bark formulation of five pharmacologically important plants, i.e., Ficus benghalensis, Ficus racemosa, Ficus religiosa, Thespesia populnea, and Ficus lacor. The Ayurvedic formulation is being used since ancient times to cure diabetes, bacterial infections and heal wounds. The present study aims to identify the metabolite profiles of PK which could explain its properties and its mode of action against specific diseases and disorders. The aqueous extract of Panchvalkal is prepared through a hot maceration process. The extract is subjected to preliminary identification of phytoconstituents and FTIR spectroscopy to recognize functional groups. GC-MS analysis reveals that the extract is enriched with 24-Norursa-3,12-diene (25.16%); Lup-20(29)-en-3-one (16.76%); 2-methyl-3-(4-propan-2-ylphenyl) propanal (7.04%); 2-(hydroxymethyl)-2-nitropropane-1,3-diol (11.21%) and 3,5-dihydroxy-6-methyl-2,3-dihydropyran-4-one (4.15%). The presence of three new phytocompounds that are 4-(hydroxymethyl)-7-methyl-1,3-dioxepane-5,6-diol; 1-(4-isopropylphenyl)-2-methylpropylacetate and 4,4,6 A,6B,8A,11,11,14B-octamethyl-1,4,4A,5,6,6A,8,8a,910,11,12,12a,12b,13,14,14a,14b-ctadecahydro-3(2H)-picenone are detected in the extract. Metabolite profiles of the extract also constitute isoeugenol, stigmasterol, ergosterol, ocimene, myrcene, squalene, sphingosine, betulin, methyl ferulate and cis-jasmone, which are unraveled by 1 D 1H and 2 D 1H-13C HSQC NMR spectroscopy. This article focuses on the presence of different phytocompounds in PK in order to demonstrate its efficacy as a therapeutic formulation for a variety of diseases.

Molecular docking analysis of candidate compoundsderived from medicinal plants with type 2 diabetes mellitus targets.

Herbal drugs are used for the treatment of diseases and disorders with its less side effects, easy availability and low cost. Several bioactive compounds have been isolated from medicinal plants such as Ficus benghelensis, Ficus racemosa, Ficus religiosa, Thespesia populena and Ficus lacur bouch were taken for screening. This study aimed to evaluate molecular interactions of selected diabetes mellitus (DM) targets with bioactive compounds isolated from Ficus benghelensis, Ficus racemosa, Ficus religiosa, Thespesia populena and Ficus lacur bouch. In this article, screening of the best substances as bioactive compounds is achieved by molecular docking analysis with 3 best selected DM target proteins i.e., aldose reductase (AR), Insulin Receptor (IR) and Mono-ADP ribosyltransferase-sirtuin-6 (SIRT6). In this analysis six potential bioactive compounds (gossypetin, herbacetin, kaempferol, leucoperalgonidin, leucodelphinidin and sorbifolin) were successfully identified on the basis of binding energy (>8.0 kcal/mol) and dissociation constant using YASARA. Out of six compounds, herbacetin and sorbifolin were observed as most suitable ligands for management of diabetes mellitus.