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  1. Article ; Online: Small Non-coding RNAs

    Pallabi Bhattacharyya / Subhas C. Biswas

    Frontiers in Microbiology, Vol

    Do They Encode Answers for Controlling SARS-CoV-2 in the Future?

    2020  Volume 11

    Abstract: SARS-CoV-2 (severe acute respiratory syndrome coronavirus 2) is a novel coronavirus responsible for the current COVID-19 (coronavirus disease 2019) pandemic, which has hit the world since December 2019. It has spread to about 216 countries worldwide, ... ...

    Abstract SARS-CoV-2 (severe acute respiratory syndrome coronavirus 2) is a novel coronavirus responsible for the current COVID-19 (coronavirus disease 2019) pandemic, which has hit the world since December 2019. It has spread to about 216 countries worldwide, affecting more than 21.7 million people so far. Although clinical trials of a number of promising antiviral drugs and vaccines against COVID-19 are underway, it is hard to predict how successful these drug- or vaccine-based therapeutics are eventually going to be in combating COVID-19 because most of such therapeutic strategies have failed against human coronaviruses such as SARS-CoV and MERS-CoV (Middle East respiratory syndrome coronavirus) responsible for similar pandemics in the past. In that context, we would like to bring to scientific attention another group of endogenous regulatory molecules, the small non-coding RNAs, especially the microRNAs, which are found to regulate critical cellular pathways in a number of disease conditions, including RNA viral infections. This review will focus on understanding the effect of altered microRNA expression during coronavirus-mediated infections and how it may provide clues for further exploring the pathogenesis of SARS-CoV-2, with a view of developing RNAi-based therapeutics and biomarkers against COVID-19.
    Keywords COVID-19 ; coronaviruses ; RNA viruses ; microRNAs ; non-coding RNAs ; MERS-CoV ; Microbiology ; QR1-502 ; covid19
    Subject code 572
    Language English
    Publishing date 2020-09-01T00:00:00Z
    Publisher Frontiers Media S.A.
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  2. Article ; Online: Predictors and pathway of maternal near miss

    Debayan Podder / Bobby Paul / Subhas C Biswas / Aparajita Dasgupta / Soumit Roy / Arkaprovo Pal

    Indian Journal of Community Medicine, Vol 47, Iss 4, Pp 555-

    A case–control study in a tertiary care facility in Kolkata

    2022  Volume 561

    Abstract: Background: Use of maternal near-miss (MNM) cases as an adjunct has been advocated to understand the processes of obstetric care because they share similar pathways as maternal deaths. Identifying the predictors and care pathway is crucial to improve the ...

    Abstract Background: Use of maternal near-miss (MNM) cases as an adjunct has been advocated to understand the processes of obstetric care because they share similar pathways as maternal deaths. Identifying the predictors and care pathway is crucial to improve the quality of care and end preventable maternal deaths. Materials and Methods: This case–control study was conducted at a tertiary care facility in Kolkata from May 2019 to March 2020. Women admitted with complications during pregnancy, childbirth, or within 42 days of postpartum, who met the World Health Organization (WHO) near-miss criteria, were identified as cases, and equivalent age-group matched controls were recruited. Sample size of 60 cases and 60 controls was estimated, assuming a power of 80%, level of significance 0.05, and case–control ratio of 1. After obtaining approval from the institutional ethics committee and informed written consent from the participants, data was collected through face-to-face interview and review of records. Statistical analysis including care pathway analysis (using three-delay model) was performed using Statistical Package for Social Sciences version 16. Results: Joint family type (adjusted odds ratio [AOR] [CI] = 5.06 [1.48, 7.28]), lack of antenatal checkups (AOR [CI] = 7.85 [1.47, 12.09]), previous history of cesarean section (AOR [CI] = 3.94 [1.09, 14.33]), first delay in seeking care (AOR [CI] = 13.84 [3.62, 32.83]), and preexisting medical disorders (AOR [CI] = 11.03 [4.62, 22.80]) were identified as significant predictors of MNM in the adjusted model. Significant difference in the proportion of first and second delays in the care pathway was observed between cases and controls. Conclusions: Identification of risk factors of MNM and pattern of delays in the care pathway will help improving quality of obstetric care.
    Keywords case–control study ; delays ; maternal mortality ; maternal near miss ; pathways ; Public aspects of medicine ; RA1-1270
    Subject code 310
    Language English
    Publishing date 2022-01-01T00:00:00Z
    Publisher Wolters Kluwer Medknow Publications
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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