Materno-Fetal Outcome Among SARS-CoV-2 positive pregnant women: Experience from Covid 19 dedicated Maternity Hospital, MCH, Srinagar

COVID-19 has affected the population worldwide drastically with a tremendous impact on obstetric population which has led to serious concerns regarding maternal and fetal outcomes. Although there are recommended guidelines regarding delivery and management of complications, due to changes in characteristics of COVID-19 infection, they are constantly changing and evolving. Method(s): Prospective cohort study done during the covid pandemic from 1st April 2020 to 15th Feb 2022 in the department of Obstetrics & Gynecology, SKIMS MCH Srinagar J&K. The parameters measured were severity of covid disease, maternal age, gestational age, parity, blood investigations, mode of delivery, APGAR score, neonatal infection status and post-delivery complications. Result(s): A total of 311 pregnant covid 19 positive patients were included in the study who were actively managed.239 (76.85%) were delivered by casearean section and 72 (23.15%) by NVD. 92% patients had mild symptoms only, 8% had severe symptoms with 1.6% rate of ICU admission and 1.2% mortality rate. 83% delivered at term, 17% had preterm deliveries.8% patients had pneumonitis with positive findings on CT scan.24% patients had anemia, 12% had GDM, 10% had PIH, 10% had IHCOP, 5% had PPH, 1.6% had APH. All the neonates were negative for covid 19. 80% babies had an APGAR score of >= 8/10 at 1 min of birth with a mean birth weight of 2400 g +/- 500. No postdelivery complication was noted. Conclusion(s): Our study concludes that SARS-CoV-2 infection can lead to unfavorable maternal and perinatal outcomes.

Transcriptome-wide Cas13 guide RNA design for model organisms and viral RNA pathogens

In brief To accelerate CRISPR-based targeting of RNA, Guo et al. present a resource with optimized RfxCas13d guide RNAs (gRNAs) to target messenger RNAs and noncoding RNAs in six common model organisms and four RNA virus families. An accompanying open access web-based platform and design tool enable optimal gRNA design for any RNA target.

The HRCT Evaluation of 105 Suspected COVID 19 Patients of MMCH and RT-PCR Correlation

In this study our main goal is to evaluate the HRCT evaluation of 105 suspected COVID 19 patients of MMCH and RT-PCR correlation. This experimental and observational study was done at Mymensingh Medical College Hospital (MMCH), Mymensingh, Bangladesh from May 2020 to October 2020. Where 105 suspected COVID 19 patients of MMCH and RT-PCR correlation were included in the study. During the study, 43.05% of the patients exposed indirectly to the virus, followed by 44.1% didn't exposed any virus, 21% exposed directly. Diabetes mellitus was 35.7%, HTN - 46.2%, 82.95% had fever, 72.45% had cough, 78.75% had respiratory distress and 49.35% had no diseases. After CT scan diagnosis, positive to infection were found in 98 patients, among them 34 patients had mild type, 22 had severe type of infection where as in RT-PCR diagnosis 69 were positive and 36 were negative to infection. From our study we can conclude that, the most common pattern of COVID-19 pneumonia on HRCT images are pure GGO and GGO and Crazy Paving. Also GGO with consolidation with prominent distribution in the posterior and peripheral part of the lung. Further study is very much needed for better outcome.

Transcriptome-wide Cas13 guide RNA design for model organisms and viral RNA pathogens.

The recent characterization of RNA-targeting CRISPR nucleases has enabled diverse transcriptome engineering and screening applications that depend crucially on prediction and selection of optimized CRISPR guide RNAs (gRNAs). Previously, we developed a computational model to predict RfxCas13d gRNA activity for all human protein-coding genes. Here, we extend this framework to six model organisms (human, mouse, zebrafish, fly, nematode, and flowering plants) for protein-coding genes and noncoding RNAs (ncRNAs) and also to four RNA virus families (severe acute respiratory syndrome coronavirus 2 [SARS-CoV-2], HIV-1, H1N1 influenza, and Middle East respiratory syndrome [MERS]). We include experimental validation of predictions by testing knockdown of multiple ncRNAs (MALAT1, HOTAIRM1, Gas5, and Pvt1) in human and mouse cells. We developed a freely available web-based platform (cas13design) with pre-scored gRNAs for transcriptome-wide targeting in several organisms and an interactive design tool to predict optimal gRNAs for custom RNA targets entered by the user. This resource will facilitate CRISPR-Cas13 RNA targeting in model organisms, emerging viral threats to human health.