In-Silico molecular screening of natural compounds as a potential therapeutic inhibitor for Methicillin-resistant Staphylococcus aureus inhibition.

Methicillin-resistant Staphylococcus aureus (MRSA) is a life-threatening superbug causing infectious diseases such as pneumonia, endocarditis, osteomyelitis, etc. Conventional antibiotics are ineffective against MRSA infections due to their resistance mechanism against the antibiotics. The Penicillin Binding Protein (PBP2a) inhibits the activity of antibiotics by hydrolyzing the ß-lactam ring. Thus, alternate treatment methods are needed for the treatment of MRSA infections. Natural bioactive compounds exhibit good inhibition efficiency against MRSA infections by hindering its enzymatic mechanism, efflux pump system, etc. The present work deals with identifying potential and non-toxic natural bioactive compounds (ligands) through molecular docking studies through StarDrop software. Various natural bioactive compounds which are effective against MRSA infections were docked with the protein (6VVA). The ligands having good binding energy values and pharmacokinetic and drug-likeness properties have been illustrated as potential ligands for treating MRSA infections. From this exploration, Luteolin, Kaempferol, Chlorogenic acid, Sinigrin, Zingiberene, 1-Methyl-4-(6-methylhepta-1,5-dien-2-yl)cyclohex-1-ene, and Curcumin have found with good binding energies of -8.6 kcal/mol, -8.4 kcal/mol, -8.2 kcal/mol, -7.5 kcal/mol, -7.4 kcal/mol, -7.3 kcal/mol, and -7.2 kcal/mol, respectively.

AYURAKSHA, a prophylactic Ayurvedic immunity boosting kit reducing positivity percentage of IgG COVID-19 among frontline Indian Delhi police personnel: A non-randomized controlled intervention trial.

Objective: The world continues to face the COVID-19 crisis, and efforts are underway to integrate traditional medicine interventions for its effective management. The study aimed to determine the efficacy of the "AYURAKSHA" kit in terms of post-interventional percentage of COVID-19 IgG positivity, immunity levels, and quality of life (QoL) against COVID-19. Method: This was a non-randomized controlled, prospective intervention trial, done after the distribution of 80,000 AYURAKSHA kits (constituent of Sanshamani Vati, AYUSH Kadha, and Anu Taila) among Delhi police participants in India. Among 47,827 participants, the trial group (n = 101) was evaluated with the positivity percentage of IgG COVID-19 and Immune Status Questionnaire (ISQ) scores as a primary outcome and the WHO Quality of Life Brief Version (QOL BREF) scores along with hematological parameters as a secondary outcome in comparison to the control group (n = 71). Results: The data showed that the percentage of COVID-19 IgG positivity was significantly lower in the trial group (17.5 %) as compared to the control group (39.4 %, p = 0.003), indicating the lower risk (55.6%) of COVID-19 infection in the trial group. The decreased incidence (5.05%) and reduced mortality percentage (0.44%) of COVID-19 among Delhi police officers during peak times of the pandemic also corroborate our findings. The ISQ score and WHO-QOL BREF tool analysis showed the improved scores in the trial group when compared with the controls. Furthermore, no dysregulated blood profile and no increase in inflammation markers like C-reactive protein, erythrocyte sedimentation rate, Interleukin-6 (IL-6) were observed in the trial group. However, significantly enhanced (p = 0.027) IL-6 levels and random blood sugar levels were found in the control group (p = 0.032), compared to a trial group (p = 0.165) post-intervention. Importantly, the control group showed more significant (p = 0.0001) decline in lymphocyte subsets CD3+ (% change = 21.04), CD4+ (% change = 20.34) and CD8+ (% change = 21.54) levels than in trial group, confirming more severity of COVID-19 infection in the control group. Conclusion: The AYURAKSHA kit is associated with reduced COVID-19 positivity and with a better quality of life among the trial group. Hence, the study encourages in-depth research and future integration of traditional medicines for the prevention of the COVID-19 pandemic. Clinical trial registration: http://ctri.nic.in/, identifier: CTRI/2020/05/025171.

All India AYUSH post graduate entrance exam 2019 - AYURVEDA MCQ item analysis.

BACKGROUND: AIAPGET 2019, an all India ranking entrance Test for MD/MS courses of Ayurveda, Unani, Siddha and Homeopathy stream was conducted by joint collaboration of National Testing Agency (NTA) and All India Institute of Ayurveda (AIIA). In this article, we present the item analysis of AIAPGET 2019 Ayurveda stream MCQs. OBJECTIVES: The aim of this article was to analyse the MCQs of AIAPGET 2019 of Ayurveda stream. MATERIALS AND METHODS: This exam was computer based conducted all over 25 centers across India. The question paper had 100 MCQs with 1 correct answer and 3 distractors for each item (Problem statement). RESULTS: AIAPGET 2019 question paper of Ayurveda stream had a Difficulty index of 37.32 ± 16.11 Discriminatory Index of 0.46 ± 0.27 and Distractor Index of 89 ± 17.8. CONCLUSION: Our analysis showed that though ideal, the question paper trended towards difficulty side.