Τετάρτη 26 Οκτωβρίου 2022

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

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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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Costs attributable to Clostridioides difficile infection based on the setting of onset

alexandrossfakianakis shared this article with you from Inoreader
Abstract
Background
Although it is established that hospital-onset CDI is associated with significant healthcare costs, the economic burden of CDI with onset in other facilities or the community has not been well studied.
Methods
Incident CDI cases were identified using 2011-2017 Medicare fee-for-service data. Controls were randomly selected in a 4:1 ratio matching to the CDI case surveillance definition. Inverse probability of exposure weights were used to balance on measured confounders. One-, 3-, and 5-year cumulative costs attributable to CDI were computed using a 3-part estimator (parametric survival model and pair of 2-part models predicting costs separately in intervals where death did and did not occur).
Results
60,492 CDI cases were frequency matched to 241,968 controls. One-, 3-, and 5-year adjusted attributable costs were highest for hospital-onset CDI at $14,257, $18,953, and $21,792, respectively compared to hospit alized controls, and lowest for community associated CDI compared to community controls at $1,013, $3,161, and $6,454, respectively. Adjusted 1-, 3-, and 5-year costs attributable to community-onset healthcare facility associated CDI were $8,222, $13,066, and $16,329 and for other health care facility onset CDI were $5,345, $6,764, and $7,125, respectively.
Conclusions
Economic costs attributable to CDI in elderly persons were highest for hospital-onset and community-onset healthcare facility associated CDI. Although lower, attributable costs due to CDI were significantly higher in cases with CDI onset in the community or other healthcare facility than for comparable persons without CDI. Additional strategies to prevent CDI in the elderly are needed to reduce morbidity and healthcare expenditures.
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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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