The impact of the COVID-19 pandemic on gestational carriers.

Reproductive medicine has been significantly impacted by the coronavirus (COVID-19) pandemic, and this includes the gestational carrier (GC) process. The objectives of this commentary are to evaluate the impact of COVID-19 on the GC process, as well to communicate Shady Grove Fertility's considerations of and response to COVID-19 on the GC process to the larger assisted reproductive technology (ART) community. We also gathered conclusions drawn from available data on the impact of COVID-19 infection on maternal and neonatal morbidity and mortality as well as on counseling patients on vaccination. We compiled proposals to mitigate risk and to maximize safe evaluation and treatment for GCs during the ongoing pandemic. Over 2 years after the onset of the pandemic, the multiple resurgences of cases in the USA have necessitated nimble strategies to provide ongoing and safe reproductive care and have posed unique challenges to the GC process. With the prospect of the virus continuing to spread globally well into the future, as healthcare professionals of the ART community, we will need to ensure effective collaboration and communication as we provide care during the ongoing pandemic.

Impact of COVID-19 pandemic on acute pancreatitis presentations, management, and in-hospital outcomes: a single-center, retrospective observational study from the northeast of China.

Background: Since initially detected in late December 2019, the novel coronavirus disease 2019 (COVID-19) outbreak rapidly swept the world, which has profoundly affected healthcare system and clinical practice in the management of gastrointestinal diseases. Objectives: We aimed to evaluate the impact of COVID-19 pandemic on the pattern of hospital admissions and healthcare services for acute pancreatitis (AP). Design: We conducted a retrospective observational cohort study using the anonymized electronic medical records. Methods: This single-center, retrospective observational study from a regional medical center in the northeast of China included all consecutively admitted patients with AP from 23 January to 10 June 2020 (during the COVID-19 outbreak in Harbin), compared with the equivalent period of the previous year, in terms of demographics, clinical characteristics, and in-hospital outcomes. Results: In this article, we observed a reduction in AP admissions after the beginning of COVID-19 outbreak. With the prolonged time from symptom onset to hospitalization [32.0 (22.0-72.0) versus 18.0 (12.0-24.0) h; p < 0.001], a higher proportion of AP patients developed acute renal failure (14.0% versus 7.4%, p = 0.004) and acute necrotic collection (16.5% versus 11.2%; p = 0.038) in the COVID-19 era. The percentage of alcohol etiology significantly decreased after the implementation of social restriction measures (11.5% versus 20.4%; p = 0.002), whereas biliary etiology was numerically more common amidst the COVID-19 era (41.6% versus 32.6%; p = 0.014). No significant differences were found in the rates of intensive care unit admission and mortality between the two groups. Conclusion: This study preliminarily demonstrated the descending trend and delay in hospital presentations for AP during the outbreak of COVID-19. Given that the pandemic may persist for several years, adjustments of medical services according to the varying degrees of local breakouts are imperative to provide appropriate care for AP patients and diminish the risk of viral transmission. Registration: ClincialTrials.gov number ChiCTR2100043350.

Transcriptional regulation and small compound targeting of ACE2 in lung epithelial cells.

Angiotensin-converting enzyme 2 (ACE2) is the receptor of COVID-19 pathogen SARS-CoV-2, but the transcription factors (TFs) that regulate the expression of the gene encoding ACE2 (ACE2) have not been systematically dissected. In this study we evaluated TFs that control ACE2 expression, and screened for small molecule compounds that could modulate ACE2 expression to block SARS-CoV-2 from entry into lung epithelial cells. By searching the online datasets we found that 24 TFs might be ACE2 regulators with signal transducer and activator of transcription 3 (Stat3) as the most significant one. In human normal lung tissues, the expression of ACE2 was positively correlated with phosphorylated Stat3 (p-Stat3). We demonstrated that Stat3 bound ACE2 promoter, and controlled its expression in 16HBE cells stimulated with interleukin 6 (IL-6). To screen for medicinal compounds that could modulate ACE2 expression, we conducted luciferase assay using HLF cells transfected with ACE2 promoter-luciferase constructs. Among the 64 compounds tested, 6-O-angeloylplenolin (6-OAP), a sesquiterpene lactone in Chinese medicinal herb Centipeda minima (CM), represented the most potent ACE2 repressor. 6-OAP (2.5 µM) inhibited the interaction between Stat3 protein and ACE2 promoter, thus suppressed ACE2 transcription. 6-OAP (1.25-5 µM) and its parental medicinal herb CM (0.125%-0.5%) dose-dependently downregulated ACE2 in 16HBE and Beas-2B cells; similar results were observed in the lung tissues of mice following administration of 6-OAP or CM for one month. In addition, 6-OAP/CM dose-dependently reduced IL-6 production and downregulated chemokines including CXCL13 and CX3CL1 in 16HBE cells. Moreover, we found that 6-OAP/CM inhibited the entry of SARS-CoV-2 S protein pseudovirus into target cells. These results suggest that 6-OAP/CM are ACE2 inhibitors that may potentially protect lung epithelial cells from SARS-CoV-2 infection.

A quick evaluation method of nosocomial infection risk for cancer hospitals during the COVID-19 pandemic.

Nosocomial infections caused by COVID-19 will result in the immediate closure of the infected medical facility due to the highly contagious nature of COVID-19, further worsening medical shortages. We performed a Delphi consulting study to develop a risk model based on the experience of recently resumed activities in many cancer hospitals in China. Similar method had been used in a Chinese cancer hospital and effectively reduced the nosocomial Infection. We believe that the model can quickly identify COVID-19 cluster risks for medical facilities. The evaluation model could also be integrated into the hospital's emergency response system in a timely manner.