SARS-CoV-2 Infection: A Clinical and Histopathological Study in Pregnancy.

During pregnancy, SARS-CoV-2 infection is associated with several adverse outcomes, including an increased risk of pre-eclampsia, preterm delivery, hypertensive disorders, gestational diabetes, and fetal growth restriction related to the development of placenta vascular abnormalities. We analyzed human placenta from full-term, uncomplicated pregnancies with SARS-CoV-2 infection during the first, second, or third trimesters of gestation. We studied, by the immunohistochemistry technique, the expression of CD34 and podoplanin (PDPN) as markers of vasculogenesis to find any differences. As secondary outcomes, we correlated maternal symptoms with placental histological alterations, including fibrin deposits, lymphocyte infiltration in the villi, edema, and thrombi. Our results showed a PDPN expression around the villous stroma as a plexiform network around the villous nucleus of fetal vessels; significant down-regulation was observed in the villous stroma of women infected during the third trimester. CD34 showed no changes in expression levels. During SARS-CoV-2 infection, the most common maternal symptoms were fever, anosmia, ageusia and asthenia, and the majority were treated with paracetamol, corticosteroids and azithromycin. Patients that required multiple symptomatic treatments evidenced a large amount of fibrin deposition in the villi. Certainly, PDPN plays a key role in healthy placental vasculogenesis and thus in its proper physiology, and SARS-CoV-2 surely alters its normal expression. Further studies are necessary to understand what mechanisms are being altered to try to avoid possible complications for both the mother and fetus in terms of the contagions that will still occur.

Antiinflammatory Activities of Curcumin and Spirulina: Focus on Their Role against COVID-19.

Nutraceuticals have for several years aroused the interest of researchers for their countless properties, including the management of viral infections. In the context of the COVID-19 pandemic, studies and research on the antiviral properties of nutraceuticals have greatly increased. More specifically, over the past two years, researchers have focused on analyzing the possible role of nutraceuticals in reducing the risk of SARS-CoV-2 infection or mitigating the symptoms of COVID-19. Among nutraceuticals, turmeric, extracted from the rhizome of the Curcuma Longa plant, and spirulina, commercial name of the cyanobacterium Arthrospira platensis, have assumed considerable importance in recent years. The purpose of this review is to collect, through a search of the most recent articles on Pubmed, the scientific evidence on the role of these two compounds in the fight against COVID-19. In the last two years many hypotheses, some confirmed by clinical and experimental studies, have been made on the possible use of turmeric against COVID-19, while on spirulina and its possible role against SARS-CoV-2 infection information is much less. The demonstrated antiviral properties of spirulina and the fact that these cyanobacteria may modulate or modify some mechanisms also involved in the onset of COVID-19, lead us to think that it may have the same importance as curcumin in fighting this disease and to speculate on the possible combined use of these two substances to obtain a synergistic effect.

ScoMorphoFISH: A deep learning enabled toolbox for single-cell single-mRNA quantification and correlative (ultra-)morphometry.

Increasing the information depth of single kidney biopsies can improve diagnostic precision, personalized medicine and accelerate basic kidney research. Until now, information on mRNA abundance and morphologic analysis has been obtained from different samples, missing out on the spatial context and single-cell correlation of findings. Herein, we present scoMorphoFISH, a modular toolbox to obtain spatial single-cell single-mRNA expression data from routinely generated kidney biopsies. Deep learning was used to virtually dissect tissue sections in tissue compartments and cell types to which single-cell expression data were assigned. Furthermore, we show correlative and spatial single-cell expression quantification with super-resolved podocyte foot process morphometry. In contrast to bulk analysis methods, this approach will help to identify local transcription changes even in less frequent kidney cell types on a spatial single-cell level with single-mRNA resolution. Using this method, we demonstrate that ACE2 can be locally upregulated in podocytes upon injury. In a patient suffering from COVID-19-associated collapsing FSGS, ACE2 expression levels were correlated with intracellular SARS-CoV-2 abundance. As this method performs well with standard formalin-fixed paraffin-embedded samples and we provide pretrained deep learning networks embedded in a comprehensive image analysis workflow, this method can be applied immediately in a variety of settings.