Αρχειοθήκη ιστολογίου

Πέμπτη 6 Οκτωβρίου 2022

Less is More: A 7-day course of antibiotics is the evidence-based treatment for Pseudomonas aeruginosa Ventilator-associated Pneumonia

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Clinical, Virologic, and Immunologic Evaluation of Symptomatic Coronavirus Disease 2019 Rebound Following Nirmatrelvir/Ritonavir Treatment

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Abstract
BackgroundNirmatrelvir/ritonavir, the first severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) protease inhibitor, reduces the risk of hospitalization and death by coronavirus disease 2019 (COVID-19) but has been associated with symptomatic rebound after therapy completion.
Methods
Six individuals with relapse of COVID-19 symptoms after treatment with nirmatrelvir/ritonavir, 2 individuals with rebound symptoms without prior antiviral therapy and 7 patients with acute Omicron infection (controls) were studied. Soluble biomarkers and serum SARS-CoV-2 nucleocapsid protein were measured. Nasal swabs positive for SARS-CoV-2 underwent viral isolation and targeted viral sequencing. SARS-CoV-2 anti-spike, anti–receptor-binding domain, and anti-nucleocapsid antibodies were measured. Surrogate viral neutralization tests against wild-type and Omicron spike protein, as well as T-cell stimulation assays, were performed.
Results
High levels of SARS-CoV-2 anti-spike immunoglo bulin G (IgG) antibodies were found in all participants. Anti-nucleocapsid IgG and Omicron-specific neutralizing antibodies increased in patients with rebound. Robust SARS-CoV-2–specific T-cell responses were observed, higher in rebound compared with early acute COVID-19 patients. Inflammatory markers mostly decreased during rebound. Two patients sampled longitudinally demonstrated an increase in activated cytokine-producing CD4+ T cells against viral proteins. No characteristic resistance mutations were identified. SARS-CoV-2 was isolated by culture from 1 of 8 rebound patients; Polybrene addition increased this to 5 of 8.
Conclusions
Nirmatrelvir/ritonavir treatment does not impede adaptive immune responses to SARS-CoV-2. Clinical rebound corresponds to development of a robust antibody and T-cell immune response, arguing against a high risk of disease progression. The presence of infectious virus supports the need for isolation and assessment of longer treatm ent courses.Clinical trials registration. NCT04401436.
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Acinetobacter baumannii: Pathogenesis, virulence factors, novel therapeutic options and mechanisms of resistance to antimicrobial agents with emphasis on tigecycline

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Acinetobacter baumannii: Pathogenesis, virulence factors, novel therapeutic options and mechanisms of resistance to antimicrobial agents with emphasis on tigecycline

This article summarizes the microbiological and virulence traits in A.baumannii. In addition, in this study, the mechanisms of resistance to tigecycline have been comprehensively investigated and novel therapeutic strategies have been expressed.


Abstract

What is known and objective

Acinetobacter baumannii is one of the most important nosocomial pathogens with the ability to cause infections such as meningitis, pneumonia, urinary tract, septicaemia and wound infections. A wide range of virulence factors are responsible for pathogenesis and high mortality of A. baumannii including outer membrane proteins, lipopolysaccharide, capsule, phospholipase, nutrient- acquisition systems, efflux pumps, protein secretion systems, quarom sensing and biofilm production. These virulence factors contribute in pathogen survival in stressful conditions and antimicrobial resistance.

Comment

According to the World Health Organization (WHO), A. baumannii is one of the most resistant pathogens of ESKAPE group (Enterococcus faecium, Staphylococcus aureus, Klebsiella pneumoniae, A. baumannii, Pseudomonas aeruginosa and Enterobacter spp.). In recent years, resistance to a wide range of antibiotics in A. baumannii has significantly increased and the high emergence of extensively drug resistant (XDR) isolates is challenging. Among therapeutic antibiotics, resistance to tigecycline as a last resort antibiotic has become a global concern. Several mechanisms are involved in tigecycline resistance, the most important of which is RND (Resistance-Nodulation-Division) family efflux pumps overexpression. The development of new therapeutic strategies to confront A. baumannii infections has been very promising in recent years.

What is new and conclusion

In the present review we highlight microbiological and virulence traits in A. baumannii and peruse the tigecycline resistance mechanisms and novel therapeutic options. Among the novel therapeutic strategies we focus on combination therapy, drug repurposing, novel antibiotics, bacteriophage therapy, antimicrobial peptides (AMPs), human monoclonal antibodies (Hu-mAbs), nanoparticles and gene editing.

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BMI and Venous VTE Rates in Patients on Standard Chemoprophylaxis Regimens After H&N Surgery

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This cohort study assesses whether there is an association bet ween body mass index (BMI) and postoperative venous thromboembolism (VTE) and hematoma rates in patients treated with prophylactic enoxaparin 30 mg twice daily.
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Differentiation of eosinophilic and non‐eosinophilic chronic rhinosinusitis on preoperative computed tomography using deep learning

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Abstract

Objective

This study aimed to develop deep learning (DL) models for differentiating between eosinophilic chronic rhinosinusitis (ECRS) and non-ECRS (NECRS) on preoperative CT.

Methods

A total of 878 chronic rhinosinusitis (CRS) patients undergoing nasal endoscopic surgery at Renmin Hospital of Wuhan University (Hubei, China) between October 2016 to June 2021 were included. Axial spiral CT images were pre-processed and used to build the dataset. Two semantic segmentation models based on U-net and Deeplabv3 were trained to segment the sinus area on CT images. All patient images were segmented using the better-performing segmentation model and used for training and testing of the transferred efficientnet_b0, resnet50, inception_resnet_v2, and Xception neural networks. Additionally, we evaluated the performances of the models trained using each image and each patient as a unit. The precision of each model was assessed based on the receiver operating characteristic curve. Further, we analyzed the confusion matrix and accuracy of each model.

Results

The Dice coefficients of U-net and Deeplabv3 were 0.953 and 0.961, respectively. The average area under the curve and mean accuracy values of the four networks were 0.848 and 0.762 for models trained using a single image as a unit, while the corresponding values for models trained using each patient as a unit were 0.893 and 0.853, respectively.

Conclusion

Combining semantic segmentation with classification networks could effectively distinguish between patients with ECRS and those with NECRS based on preoperative sinus CT images. Furthermore, labeling each patient to build a dataset for classification may be more reliable than labeling each medical image.

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Τετάρτη 5 Οκτωβρίου 2022

Booster vaccination against SARS-CoV-2 induces potent immune responses in people with HIV

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Abstract
Background
People with HIV on antiretroviral therapy with good CD4 T cell counts make effective immune responses following vaccination against SARS-CoV-2. There are few data on longer term responses and the impact of a booster dose.
Methods
Adults with HIV were enrolled into a single arm open label study. Two doses of ChAdOx1 nCoV-19 were followed twelve months later by a third heterologous vaccine dose. Participants had undetectable viraemia on ART and CD4 counts >350 cells/µl. Immune responses to the ancestral strain and variants of concern were measured by anti-spike IgG ELISA, MesoScale Discovery (MSD) anti-spike platform, ACE-2 inhibition, Activation Induced Marker (AIM) assay and T cell proliferation.
Findings
54 participants received two doses of ChAdOx1 nCoV-19. 43 received a third dose (42 with BNT162b2; 1 with mRNA-1273) one year after the first dose. After the third dose, total anti-SARS-CoV-2 spike IgG titres (MSD), ACE-2 inhibition and IgG ELISA results were significantly higher compared to Day 182 titres (P < 0.0001 for all three). SARS-CoV-2 specific CD4+ T cell responses measured by AIM against SARS-CoV-2 S1 and S2 peptide pools were significantly increased after a third vaccine compared to 6 months after a first dose, with significant increases in proliferative CD4 + and CD8+ T cell responses to SARS-CoV-2 S1 and S2 after boosting. Responses to Alpha, Beta, Gamma, and Delta variants were boosted, although to a lesser extent for Omicron.
Conclusions
In PWH receiving a third vaccine dose, there were significant increases in B and T cell immunity, including to known VOCs.
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Imaging of pediatric neuroblastoma: A COG Diagnostic Imaging Committee/SPR Oncology Committee White Paper

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ABSTRACT

Neuroblastoma is the most common extracranial solid neoplasm in children. This manuscript provides consensus-based imaging recommendations for pediatric neuroblastoma patients at diagnosis and during follow-up.

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Relationship between the timing of chemotherapy and surgical complications following surgical biopsy in children with malignant solid tumors

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Abstract

Background

Biopsies for diagnosis before chemotherapy is common in children with malignant solid tumors. Wound healing is delayed by chemotherapy; however, the ideal interval between biopsy and chemotherapy remains unknown. We aimed to summarize the relationship between chemotherapy timing and postoperative surgical complications.

Procedure

We retrospectively reviewed patients with malignant solid tumors who underwent chemotherapy after surgical biopsy at our institution between January 2014 and August 2020. The primary outcomes were postoperative surgical complications (within 30 days) and the timing of chemotherapy.

Results

Forty-three patients were analyzed. The types of tumors were neuroblastoma (n = 20), hepatoblastoma (n = 10), Ewing sarcoma (n = 5), germ cell tumor (n = 3), angiosarcoma (n = 1), clear cell sarcoma (n = 1), ganglioneuroblastoma (n = 1), rhabdoid tumor (n = 1), and rhabdomyosarcoma (n = 1). The operative procedures were thoracoscopy (n = 5), laparotomy (n = 17), laparoscopy (n = 14), and superficial (n = 7). The median time [range] to chemotherapy after biopsy was 4 [0–21] days. No surgical complications occurred before chemotherapy, and two (4.7%) patients experienced complications after chemotherapy. These included postoperative hemorrhage (grade 3) and surgical site infection (grade 1). Chemotherapy was initiated 1 and 6 days after biopsy, respectively, in these cases. Complications occurred 10 and 23 days after biopsy, respectively.

Conclusion

The rate of postoperative surgical complications related to biopsy seems acceptable, even when chemotherapy was initiated in the early postoperative period. Early initiation of chemotherapy after biopsy may be a suitable option, particularly in children with bulky or symptomatic malignant solid tumors.

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Characterizing the biology of primary brain tumors and their microenvironment via single-cell profiling methods

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Abstract
Genomic and transcriptional heterogeneity is prevalent among the most common and aggressive primary brain tumors in children and adults. Over the past 20 years, advances in bioengineering, biochemistry and bioinformatics have enabled the development of an array of techniques to study tumor biology at single-cell resolution. The application of these techniques to study primary brain tumors has helped advance our understanding of their intra-tumoral heterogeneity and uncover new insights regarding their co-option of developmental programs and signaling from their microenvironment to promote tumor proliferation and invasion. These insights are currently being harnessed to develop new therapeutic approaches. Here we provide an overview of current single-cell techniques and discuss relevant biology and therapeutic insights uncovered by their application to primary brain tumors in children and adults.
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Oral biofilm dysbiosis during experimental periodontitis

alexandrossfakianakis shared this article with you from Inoreader

Abstract

Objectives

We have previously characterized the main osteoimmunological events that occur during ligature periodontitis. This study aims to determine the polymicrobial community shifts that occur during disease development.

Methods

Periodontitis was induced in C57BL/6 mice using the ligature-induced periodontitis model. Healthy oral mucosa swabs and ligatures were collected every 3-days from 0 to 18 days post-ligature placement. Biofilm samples were evaluated by 16SrRNA gene sequencing (Illumina MiSeq) and QIIME. Timecourse changes were determined by relative abundance, diversity, and rank analyses (PERMANOVA, Bonferroni-adjusted).

Results

Microbial differences between health and periodontal inflammation were observed at all phylogenic levels. An evident microbial community shift occurred in 25 genera during the advancement of "gingivitis" (3-6d) to periodontitis (9-18d). From day 0–18, dramatic changes were identified Streptococcus levels, with an overall decrease (54.04-0.02%) as well an overall increase of Enterococcus and Lactobacillus (23.7-73.1% and 10.1%-70.2%, respectively). Alpha-diversity decreased to its lowest at 3d, followed by an increase in diversity as disease advancement. Beta-diversity increased after ligature placement, indicating that bone loss develops in response to a greater microbial variability (p = 0.001). Levels of facultative and strict anaerobic bacteria augmented over the course of disease progression, with a total of 8 species significantly different during the 18-day period.

Conclusion

The data supports that murine gingival inflammation and alveolar bone loss develop in response to microbiome shifts. Bacterial diversity increased during progression to bone loss. These findings further support the utilization of the periodontitis ligature model for microbial shift analysis under different experimental conditions.

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