Oleic acid-induced acute lung injury in Ob/Ob mice fed with high-fat-diet exacerbate bile acid uptake and liver injury that was reversed by antagonizing their entry

Background and aims: Acute respiratory distress syndrome (ARDS) is a serious complication of COVID-19 and present in a large percentage of COVID-19 deaths. Many studies suggest that people with obesity are at increased risk of severe COVID-19, however, mechanism on liver-lung axis remains unknown. We aimed to evaluate whether bile acid (BAs) trafficking interfere with acute lung injury (ALI) in animal model with obesity. Method: Leptin deficient (ob/ob) mice fed with high-fat-diet (Ob/Ob HFD) were i.p injected with oleic acid (OA) to induce ALI. To modulate BAs uptake, mice were i.p treated with neutralizing antibody for sodium taurocholate co-transporting polypeptide (NTCP;BAs-transporter). Broncho-alveolar lavage fluid (BALF), lungs, livers and serum were obtained from mice and assessed for inflammatory (HandE staining, ALT and pro-inflammatory panel of cytokines), fibrosis (Sirius red staining, a-smooth muscle actin, collagen and fibronectin) and metabolic (BAs, cholesterol, triglyceride, glucose tolerance test (GTT) and fasting blood sugar (FBS)) profiles. In addition, alveolarcapillary membrane injury of surfactant D (SP-D) and the receptor for advanced glycation end-products (RAGE). BAs trafficking were assessed in primary lung cells and their impact on proliferation and apoptosis were evaluated. Results: Compared to WT-littermates, OA-induced lung injury and was worsened in the in the Ob/Ob HFD in the histopathology outcome. In addition, BALF of the Ob/Ob HFD showed elevated levels of BAs (3- fold;P = 0.002) associated with increased GM-CSF, INF-g, IL-1, IL-6 and IL-8 (p < 0.01). Moreover, Ob/Ob HFD with OA showed elevated serum levels in liver enzymes, lipids, glucose and metabolic markers (p < 0.01). In addition, Ob/Ob HFD livers showed an exacerbated fibrosis profile. NTCP neutralizing antibody in Ob/Ob HFD while inhibited BAs uptake/trafficking in both primary alveolar type II (BALF showed 4-fold increase in BAs) and primary hepatocytes (serum showed 3-fold increase in BAs). SP-D, RAGE and serum metabolic markers were suppressed to normal in line with enhance lung and liver histology and maintaining cell viability. Conclusion: Modulation of BAs trafficking from the liver of obese mice to the lungs could be an important step in the pathogenesis of ALI. Antagonizing BAs uptake may suggest a therapeutic strategy in improving liver-lung axis.

Interactive Web-Based Lung Cell Atlases Lower Barriers to Transcriptomic Data Sharing, Mining and Dissemination

Rationale: Recent advancements in sequencing technologies have led to a substantial increase in the scale and resolution of transcriptomic data. Despite this progress, accessibility to this data, particularly among those who are coming from non-computational backgrounds is limited. To facilitate improved access and exploration of our single-cell RNA sequencing data, we generated several data sharing, mining and dissemination portals to accompany our idiopathic pulmonary fibrosis (IPF), chronic obstructive pulmonary disease (COPD), and lung endothelial cells (Lung EC) cell atlases. Descriptions and links of each website can be found here: https://medicine.yale.edu/lab/kaminski/research/atlas/. Methods: Each interactive data mining website is coded in the R language using the Shiny package and is hosted by Shinyapps.io. Percell expression data for each website is stored on a MySQL database hosted by Amazon Web Services (AWS). Time-associated website engagement statistics and gene query information is collected for each website using a combination of Google Analytics and a gene search table stored on our MySQL database. User exploration of available data is facilitated through several easy-touse visualization tools available on each website. Results: Website usage statistics since the publication of each website shows that 9,772 unique users from 56 countries and five continents have accessed at least one of the three websites. At the time of writing, 300,748 total queries have been made for 15,627 unique genes across the websites. The top five searched genes for the IPF Cell Atlas are CD14, ACE2, ACTA2, IL11 and MUC5B while for the COPD Cell Atlas they are FAM13A, MIRLET7BHG, HHIP, ISM1 and DDT. Finally, the top searched genes for the Lung Endothelial Cell Atlas are BMPR2, PECAM1, EDNRB, APLNR and PROX1. Of note, interaction with the IPF Cell Atlas increased dramatically at the start of the COVID-19 pandemic, with queries for the ACE2 gene, the putative binding receptor for the SARS-CoV-2 virus, increasing substantially at the pandemic's onset in the United States. Conclusions: Usage statistics, gene query information and feedback from users, both within academia and industry, have shown broad engagement with our websites by individuals across computational and non-computational backgrounds. We envision widespread adoption of web-based portals similar to ours will facilitate novel discoveries within these complex datasets and new scientific collaborations.

Research on the mechanism of berberine in the treatment of COVID-19 pneumonia pulmonary fibrosis using network pharmacology and molecular docking.

Purpose Pulmonary fibrosis caused by COVID-19 pneumonia is a serious complication of COVID-19 infection, there is a lack of effective treatment methods clinically. This article explored the mechanism of action of berberine in the treatment of COVID-19 (Corona Virus Disease 2019, COVID-19) pneumonia pulmonary fibrosis with the help of the network pharmacology and molecular docking. Methods We predicted the role of berberine protein targets with the Pharmmapper database and the 3D structure of berberine in the Pubchem database. And GeneCards database was used in order to search disease target genes and screen common target genes. Then we used STRING web to construct PPI interaction network of common target protein. The common target genes were analyzed by GO and KEGG by DAVID database. The disease-core target gene-drug network was established and molecular docking was used for prediction. We also analyzed the binding free energy and simulates molecular dynamics of complexes. Results Berberine had 250 gene targets, COVID-19 pneumonia pulmonary fibrosis had 191 gene targets, the intersection of which was 23 in common gene targets. Molecular docking showed that berberine was associated with CCl2, IL-6, STAT3 and TNF-α. GO and KEGG analysis reveals that berberine mainly plays a vital role by the signaling pathways of influenza, inflammation and immune response. Conclusion Berberine acts on TNF-α, STAT3, IL-6, CCL2 and other targets to inhibit inflammation and the activation of fibrocytes to achieve the purpose of treating COVID-19 pneumonia pulmonary fibrosis.