13 research outputs found

    Bystander TN cells_proteomics

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    10-plex proteomics analysis of different mouse CD8 T cell subsets- naive CD8 T cells, bystander activated naive CD8 T cells (1 dpi), bystander naive CD8 T cells (7 dpi) and effector memory T cells (7 dpi). The dataset aimed to characterize the molecular signatures and protein networks that drive the induction of bystander naive CD8 T cells after virus exposure.THIS DATASET IS ARCHIVED AT DANS/EASY, BUT NOT ACCESSIBLE HERE. TO VIEW A LIST OF FILES AND ACCESS THE FILES IN THIS DATASET CLICK ON THE DOI-LINK ABOV

    Bystander TN_Metabolomics

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    Metabolomics analysis of bystander activated naive CD8 mouse T cells after virus exposure. In this dataset we aimed to characterize the metabolic signatures that drive the induction of bystander activated naive CD8 T cells when compared to naive CD8 T cells 1 day post exposure to virus.THIS DATASET IS ARCHIVED AT DANS/EASY, BUT NOT ACCESSIBLE HERE. TO VIEW A LIST OF FILES AND ACCESS THE FILES IN THIS DATASET CLICK ON THE DOI-LINK ABOV

    AYUSH-64 as add-on to standard care in asymptomatic and mild cases of COVID-19: A randomized controlled trial

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    Background: The evidence on the efficacy and safety of Ayurveda interventions as add-on to the standard conventional care for COVID-19 is limited. This study was planned to explore the potential of AYUSH-64 as add-on to conventional care in improving the clinical recovery and negative RT-PCR conversion in asymptomatic and mild COVID-19 cases. Materials and Methods: An open-label randomized controlled study was conducted at Government Medical College, Nagpur, Maharashtra, India with a sample size of 60 participants. In this study, asymptomatic or mild COVID-19 patients were randomized and allocated into intervention and control group in 1:1 ratio. AYUSH-64 two capsules (500 mg each) were administered thrice daily, after food with water for 30 days along with standard care in the intervention group, while the control group received only standard care. The effect of the interventions was assessed in terms of negative RT-PCR for COVID-19, clinical cure rate and inflammatory cytokines. Outcome measures: Primary outcome was the time to attain negative RT-PCR for COVID-19 and proportion of participants turned RT-PCR negative for COVID-19 at 7th, 15th, 22nd and 30th day respectively in the intervention group compared to the control group. Secondary outcomes were the proportion of participants who attained clinical recovery at 7th, 15th, 22nd, and 30thday; improvement in laboratory parameters on the 30th day (as compared to baseline) and incidence of Adverse Drug Reactions/Adverse Events (ADRs/AEs). The data was compared within group using paired sample t-test/ Wilcoxon signed rank test and between group using independent sample t-test/Mann-Whitney test. Results: Statistically significant difference was not observed in the proportion of participants who turned RT-PCR negative during each of the follow-ups (p=0.134) and both groups demonstrated comparable efficacy. The clinical recovery rate in terms of time taken for complete cure of symptoms in the symptomatic participants was 60% and 37% on day 15 (p=0.098) and 100% and 85.2% on day 30 (p=0.112), in the intervention and control group respectively which is numerically a better clinical outcome in the intervention group. The improvement in the inflammatory markers such as IL-6, TNF-α and D-dimer was statistically significant in the intervention group (p<0.05). None of the participants developed any complications nor were any significant ADR/AE observed in both the groups. Conclusion: In patients with asymptomatic and mild COVID-19, AYUSH-64 as add-on to standard conventional care, contributed to improving the duration for attaining complete clinical cure and demonstrated potential in reducing the levels of pro-inflammatory markers in the body
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