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Τετάρτη 26 Οκτωβρίου 2022

LANA regulates miR‐155 /GATA3 signaling axis by enhancing c‐Jun/c‐Fos interaction to promote the proliferation and migration of KSHV‐infected cells

alexandrossfakianakis shared this article with you from Inoreader

Abstract

Kaposi's sarcoma (KS) is the second most common tumor in people infected with human immunodeficiency virus worldwide, but its pathogenesis is still unclear. In this study, we discovered that the expression of GATA-binding protein 3 (GATA3) was lowly expressed in KS tissues and KSHV-infected cells, while microRNA-155 (miR-155) was highly expressed in KS serum and KSHV-infected cells. miR-155 promoted the proliferation, migration and invasion of KSHV infection by targeting GATA3. Further, The KSHV-encoded protein, the Latency associated nuclear antigen (LANA), promotes the proliferation, migration and invasion of KSHV-infected cells by regulating the miR-155/GATA3 axis. Regarding the molecular mechanism, c-Jun and c-Fos interact to form a complex. LANA up-regulates the expression of c-Jun and c-Fos and enhances the formation of c-Jun/c-Fos complex. The complex binds to the -95 ~ -100 bp site of miR-155 promoter and transcriptionally activates miR-155. All in a ll, LANA enhances the c-Jun/c-Fos interaction, resulting in enhanced transcriptional regulation of miR-155 by the c-Jun/c-Fos complex, thereby downregulating GATA3 and promoting the proliferation, migration and invasion of KSHV-infected cells. The discovery of LANA/c-Jun/c-Fos/miR-155/GATA3 further refines the pathogenesis of KS, potentially opening a new avenue for developing effective drugs against KS.

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Exhaled Breath Aerosol Shedding by Highly Transmissible Versus Prior SARS-CoV-2 Variants

alexandrossfakianakis shared this article with you from Inoreader
Abstract
Background
Aerosol inhalation is recognized as the dominant mode of SARS-CoV-2 transmission. Three highly transmissible lineages evolved during the pandemic. One hypothesis to explain increased transmissibility is that natural selection favors variants with higher rates of viral aerosol shedding. However, the extent of aerosol shedding of successive SARS-CoV-2 variants is unknown. We aimed to measure the infectivity and rate of SARS-CoV-2 shedding into exhaled breath aerosol (EBA) by individuals during the Delta and Omicron waves and compared those rates with those of prior SARS-CoV-2 variants from our previously published work.
Methods
COVID-19 cases (n = 93, 32 vaccinated and 20 boosted) were recruited to give samples, including 30-minute breath samples into a Gesundheit-II exhaled breath aerosol sampler. Samples were quantified for viral RNA using RT-PCR and cultured for virus.
Results
Alpha (n = 4), Delta ( n = 3), and Omicron (n = 29) cases shed significantly more viral RNA copies into exhaled breath aerosols than cases infected with ancestral strains and variants not associated with increased transmissibility (n = 57). All Delta and Omicron cases were fully vaccinated and most Omicron cases were boosted. We cultured virus from the EBA of one boosted and three fully vaccinated cases.
Conclusions
Alpha, Delta, and Omicron independently evolved high viral aerosol shedding phenotypes, demonstrating convergent evolution. Vaccinated and boosted cases can shed infectious SARS-CoV-2 via EBA. These findings support a dominant role of infectious aerosols in transmission of SARS-CoV-2. Monitoring aerosol shedding from new variants and emerging pathogens can be an important component of future threat assessments and guide interventions to prevent transmission.
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Subgingival host‐microbiome metatranscriptomic changes following scaling and root planning in Grade II/III Periodontitis

alexandrossfakianakis shared this article with you from Inoreader

Abstract

Aims

To assess the effects of scaling and root planning (SRP) on the dynamics of gene expression by the host and the microbiome in subgingival plaque samples.

Methods

Fourteen periodontitis patients were closely monitored in the absence of periodontal treatment for 12 months. During this period, comprehensive periodontal examination and subgingival biofilm sample collection were performed bi-monthly. After 12 months, clinical attachment level (CAL) data was compiled and analyzed using linear mixed models (LMM) fitted to longitudinal CAL measurements for each tooth site. LMM classified sites as stable (S), progressing (P), or fluctuating (F). After 12 month visit, subjects received SRP and at 15 months they received comprehensive examination and supportive periodontal therapy (SPT). Those procedures were repeated at the 18 month visit, when patients were also sampled. Each patient contributed with one S, one P and one F site collected at 12 and 18 month visits. Samples were analyzed using Dual RNA-Sequencing to capture host and bacterial transcriptomes simultaneously.

Results

Microbiome and host response behavior were specific to the site's progression classification (i.e., S, P or F). Microbial profiles of pre and post-treatment samples exhibited specific microbiome changes, with progressing sites showing the most significant changes. Among them, P. gingivalis was reduced after treatment, while F. nucleatum showed an increase in proportion. Transcriptome analysis of the host response showed that IL-17, TNF signaling pathways, and neutrophil extracellular trap (NETs) formation were the primary immune response activities impacted by periodontal treatment.

Conclusion

Scaling and root planing resulted in a significant "rewiring" of host and microbial activities in the progressing sites, while in stable and fluctuating sites, the restructuring of the microbiome was minor.

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