ABSTRACT
An effective and rapid diagnosis has great importance in tackling the ongoing COVID-19 pandemic through isolation of the infected individuals to curb the transmission and initiation of specialized treatment for the disease. It has been proven that enhanced testing capacities contribute to efficiently curbing SARS-CoV-2 transmission during the initial phases of the outbreaks. RT-qPCR is considered a gold standard for the diagnosis of COVID-19. However, in resource-limited countries expenses for molecular diagnosis limits the diagnostic capacities. Here, we present interventions of two pooling strategies as 5 sample pooling (P-5) and 10 sample pooling (P-10) in a high-throughput COVID-19 diagnostic laboratory to enhance throughput and save resources and time over a period of 6 months. The diagnostic capacity was scaled-up 2.15-folds in P-5 and 1.8-fold in P-10, reagents (toward RNA extraction and RT-qPCR) were preserved at 75.24% in P-5 and 86.21% in P-10, and time saved was 6,290.93 h in P-5 and 3147.3 h in P-10.
ABSTRACT
The ongoing pandemic coronavirus disease (COVID-19) caused by a novel corona virus, namely, severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2), has had a major impact on global public health. COVID-19 cases continue to increase across the globe with high mortality rates in immunocompromised patients. There is still a pressing demand for drug discovery and vaccine development against this highly contagious disease. To design and develop antiviral drugs against COVID-19, the main protease (Mpro) has emerged as one of the important drug targets. In this context, the present work explored Jadwar (Delphinium denudatum)-derived natural alkaloids as potential inhibitors against Mpro of SARS-CoV-2 by employing a combination of molecular docking and molecular dynamic simulation-based methods. Molecular docking and interaction profile analysis revealed strong binding on the Mpro functional domain with four natural alkaloids viz. panicutine (-7.4 kcal/mol), vilmorrianone (-7.0 kcal/mol), denudatine (-6.0 kcal/mol), and condelphine (-5.9 kcal/mol). The molecular docking results evaluated by using the MD simulations on 200 nanoseconds confirmed highly stable interactions of these compounds with the Mpro. Additionally, mechanics/generalized Born/Poisson-Boltzmann surface area (MM/G/P/BSA) free energy calculations also affirmed the docking results. Natural alkaloids explored in the present study possess the essential drug-likeness properties, namely, absorption, distribution, metabolism, and excretion (ADME), and are in accordance with Lipinski's rule of five. The results of this study suggest that these four bioactive molecules, namely, condelphine, denudatine, panicutine, and vilmorrianone, might be effective candidates against COVID-19 and can be further investigated using a number of experimental methods.
ABSTRACT
PURPOSE: To study functional changes in vision and morphological changes on optical coherence tomography (OCT) scans in patients where intravitreal therapy (IVT) with injections has been delayed due to COVID-19 pandemic lockdown. METHODS: Retrospective cross-sectional study included 77 eyes with the diagnosis of exudative age-related macular degeneration (eAMD), diabetic macular edema (DME), and retinal vein occlusion (RVO), regularly receiving IVT with anti-vascular endothelial growth factor (Anti-VEGF) injections or dexamethasone implant and were not able to receive the injections as intended due to lockdown. Best-corrected visual acuity (BCVA), central foveal thickness (CFT), and qualitative morphological features on OCT were analyzed pre- and post-therapy break off. RESULTS: The mean duration of IVT break-off was 57 days. Mean BCVA logarithm of minimum angle of resolution (logMAR) worsened from 0.33 (20/42) to 0.35 (40/44) (P = 0.02) and mean CFT increased from 297.90 µm to 402.16 µm (P < 0.01), from pretherapy break-off to return visit. Worsening of the visual acuity was seen across all the three disease cohorts, significantly more in the eyes with eAMD. CONCLUSION: Marginal decline in the visual acuity and worsening of the OCT features were observed as a result of delay in the IVT injections of DME, eAMD and RVO patients.
ABSTRACT
COVID-19 pandemic has posed serious risk of contagion to humans. There is a need to find reliable non-contact tests like vocal correlates of COVID-19 infection. Thirty-six Asian ethnic volunteers 16 (8M & 8F) infected subjects and 20 (10M &10F) non-infected controls participated in this study by vocalizing vowels /a/, /e/, /i/, /o/, /u/. Voice correlates of 16 COVID-19 positive patients were compared during infection and after recovery with 20 non-infected controls. Compared to non-infected controls, significantly higher values of energy intensity for /o/ (p = 0.048); formant F1 for /o/ (p = 0.014); and formant F3 for /u/ (p = 0.032) were observed in male patients, while higher values of Jitter (local, abs) for /o/ (p = 0.021) and Jitter (ppq5) for /a/ (p = 0.014) were observed in female patients. However, formant F2 for /u/ (p = 0.018), mean pitch F0 for /e/, /i/ and /o/ (p = 0.033; 0.036; 0.047) decreased for female patients under infection. Compared to recovered conditions, HNR for /e/ (p = 0.014) was higher in male patients under infection, while Jitter (rap) for /a/ (p = 0.041); Jitter (ppq5) for /a/ (p = 0.032); Shimmer (local, dB) for /i/ (p = 0.024); Shimmer (apq5) for /u/ (p = 0.019); and formant F4 for vowel /o/ (p = 0.022) were higher in female patients under infection. However, HNR for /e/ (p = 0.041); and formant F1 for /o/ (p = 0.002) were lower in female patients compared to their recovered conditions. Obtained results support the hypothesis since changes in voice parameters were observed in the infected patients which can be correlated to a combination of acoustic measures like fundamental frequency, formant characteristics, HNR, and voice perturbations like jitter and shimmer for different vowels. Thus, voice analysis can be used for scanning and prognosis of COVID-19 infection. Based on the findings of this study, a mobile application can be developed to analyze human voice in real-time to detect COVID-19 symptoms for remedial measures and necessary action.
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Introduction: As the COVID-19 pandemic is increasingly griping the world, it starts effecting the psychosocial health of the patients, health care workers, frontline workers and their dependents. The entire landscape of existing patient psychological counselling and management needs to be changed to avoid fear and misinformation about COVID-19. Material and methods: In this article, we have tried to summarize the rules, regulations and protocols in accordance with government guidelines along with practical implementation of counselling in management of psychological health condition of patients and frontline workers. Conclusion: If used wisely and as per recommendations, psychosocial counselling is a very useful tool in the present COVID-19 pandemic, to avoid spread of misinformation, fear and grief about the disease which creates mental health issue and anxiety among close contacts as well as health care workers.
ABSTRACT
INTRODUCTION: As the COVID-19 pandemic is increasingly griping the world, the entire landscape of existing patient management needs to be changed to avoid spread of Corona virus. In cases of emergencies, there is no option other than getting in-person consultations with doctors. But, in non-emergency patients, telemedicine can serve as a boon. MATERIAL AND METHODS: In this article, we have tried to summarize the rules, regulations and protocols in accordance with government guidelines along with practical management for urgencies in dento-/oro-facial pains. CONCLUSION: If used wisely and as per recommendations, telemedicine is a very useful tool in the present COVID-19 pandemic, to avoid spread of infection to patients as well as health care workers.
ABSTRACT
Severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) is a novel corona virus that causes corona virus disease 2019 (COVID-19). The COVID-19 rapidly spread across the nations with high mortality rate even as very little is known to contain the virus at present. In the current study, we report novel natural metabolites namely, ursolic acid, carvacrol and oleanolic acid as the potential inhibitors against main protease (Mpro) of COVID-19 by using integrated molecular modeling approaches. From a combination of molecular docking and molecular dynamic (MD) simulations, we found three ligands bound to protease during 50 ns of MD simulations. Furthermore, the molecular mechanic/generalized/Born/Poisson-Boltzmann surface area (MM/G/P/BSA) free energy calculations showed that these chemical molecules have stable and favourable energies causing strong binding with binding site of Mpro protein. All these three molecules, namely, ursolic acid, carvacrol and oleanolic acid, have passed the ADME (Absorption, Distribution, Metabolism, and Excretion) property as well as Lipinski's rule of five. The study provides a basic foundation and suggests that the three phytochemicals, viz. ursolic acid, carvacrol and oleanolic acid could serve as potential inhibitors in regulating the Mpro protein's function and controlling viral replication. Communicated by Ramaswamy H. Sarma.