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Objective To study the epidemiology of mold infections in China. Methods Based on the surveillance data of 19 hospitals participating in the China Hospital Invasive Fungal Surveillance Net from Jan 2019 to Jun 2022, the general information of patients and the epidemiological characteristics such as the proportion of different strains and clinical infection were analyzed by WHONET software. Results A total of 16 285 mold infection cases were included in the analysis, of which 49.3% were patients aged 61 and over, with the median age of 60 years old. The proportion of males was significantly higher than that of females (62.1% vs. 37.9%). The patients were mainly from the internal medicine, ICU and surgical wards. Most strains were isolated from lower respiratory tract, accounting for 81.7%, followed by pus and secretions (7.8%). In terms of species distribution, Aspergillus spp. accounted for the highest proportion (84.8%), with Penicillium spp., Fusarium spp., order Mucorales and Sedosporium spp. accounting for 5.1%, 3.0%, 1.3% and 0.4%, respectively. For species distribution among different mold infection, 88.7% of lower respiratory tract mold infections were caused by Aspergillus spp., and Aspergillus fumigatus(47.8%) was the most common species. Otomycosis was mainly caused by Aspergillus spp.(98.7%), of which Aspergillus terreus accounted for 39.7%, and ophthalmomycosis was mainly caused by Fusarium spp.(54.6%). Conclusions By the retrospective analysis of mold isolation from multicenter in China, we found that Aspergillus fumigatus, Aspergillus terreus, and Fusarium spp. were the most common species causing pneumonomycosis, otomycosis, and ophthalmomycosis, respectively. Therefore, it is necessary to pay attention to the differences in species distribution among different mold infections in clinical empirical treatment of fungal infections.

Background: Systemic lupus erythematosus (SLE) is an autoimmune disease that currently cannot be completely cured with a great health burden. Since the production of autoantibodies plays a key role in the pathogenesis of SLE, discovering the underlying immunoregulation mechanism of B cells will be helpful for developing promising immunotherapy for SLE. In recent studies, dopamine receptors (DRDs), G protein-coupled receptors that include D1-like and D2-like subtypes, are expressed on B cells and participate in various physiological processes, involving immune responses. However, the regulatory effect of DRDs on B cells has not been determined. Methods: This study explored the expression of DRDs on B-cell subsets from SLE patients and healthy individuals. The effects of D1-like receptor on B-cell activation and differentiation were further explored using D1-like receptor agonists or antagonists. RNA-seq and bioinformatics analyses were used to identify specific molecular mechanisms involved. Results: The D1-like DRDs on B cells of SLE patients were highly expressed compared with those of healthy controls (HCs). D1-like receptor agonist treatment exacerbated lupus-like symptoms in pristane-induced lupus-like mice, while D1-like receptor antagonists alleviated the lupus-like phenotypes. Inhibition of D1-like receptor signals impeded B-cell differentiation, while activation of D1-like receptor signals could promote B cell differentiation. Further RNA-seq confirmed that PTGS2, a gene related to B-cell differentiation, was up-regulated once the D1-like receptor signals were activated, while BMP6 and IL-24 were up-regulated once the D1-like receptor signals were inhibited. Conclusion: D1-like receptors probably promote B-cell differentiation through the PTGS2/PRDM1 pathway. [ABSTRACT FROM AUTHOR]

Interaction between light and magnetism in magneto-optical (MO) nanophotonic devices has been actively studied in the past few years. The recent development of MO all-dielectric resonators and metasurfaces has led to the emergence of various novel MO phenomena that were not observed in their bulk counterparts. For example, a large s-polarized transverse MO Kerr effect can be observed at magnetic resonance wavelength, which cannot exist in the bare MO films. We review recent developments in nanophotonic devices based on MO materials and focus on different modes and related MO effects in nanophotonic structures with emphasis on recently discovered new MO phenomena in magnetoplasmonics and all-dielectric nanostructures, such as dark mode, all-dielectric Mie resonance and waveguide mode. Further, we discuss the potential applications of these nanostructures for biological/chemical sensing, magnetic field sensing, and magnetic field-controlled active and nonreciprocal metasurfaces.

Urinary tract infections (UTIs) are common urological diseases that easily relapse and have led to an increasing economic and health burdens. The China Antimicrobial Surveillance Network (CHINET) system is one of the most influential antimicrobial resistance surveillance networks in China. This study analyzed antimicrobial resistance and distribution trends of uropathogens from 2015 to 2021 using the CHINET system. A total of 261,893 non-duplicate strains were collected; Gram-positive bacteria accounted for 23.8% while Gram-negative bacteria accounted for 76.2%. Escherichia coli, Enterococcus faecium, Klebsiella pneumoniae, and Enterococcus faecalis were the most common species. The resistance to vancomycin, linezolid, and teicoplanin in E. faecalis and E. faecium was less than 3%. The prevalence of carbapenem-resistant strains of E. coli, K. pneumoniae, Pseudomonas aeruginosa, and Acinetobacter baumannii was 1.7%, 18.5%, 16.4%, and 40.3%, respectively. The prevalence of carbapenem-resistant A. baumannii increased from 27.6% in 2015 to 43.4% in 2021. The prevalence of methicillin-resistant Staphylococcus aureus decreased from 40.6% in 2015 to 22.9% in 2021. The resistance rates to most β-lactam antimicrobials, aminoglycosides and fluoroquinolones in E. coli, K. pneumoniae, P. aeruginosa and A. baumannii isolated from ICU inpatients were significantly higher than in those isolated from outpatients and non-ICU inpatients. This study indicates that E. coli, Enterococcus, and K. pneumoniae were the most commonly isolated uropathogens in China. The bacterial species isolated and their antimicrobial resistance patterns differed in different patient populations. More attention must be paid uropathogen resistance surveillance to provide data for the rational use of antimicrobial agents. [ABSTRACT FROM AUTHOR]

Malignant mesothelioma (MM) is a rare aggressive tumor, and bone metastasis often occurs in later stages of this disease. This study aimed to establish a nomogram to predict the prognosis of bone metastasis of patients with MM. Data from the Surveillance, Epidemiology, and End Results database were screened and retrieved. This study included 311 patients with MM with bone metastases. Prognostic factors were analyzed using the Kaplan–Meier method and Cox proportional hazards model. A nomogram for overall survival (OS) was established and evaluated using statistically significant prognostic factors, and cancer-specific survival (CSS) analysis was performed to investigate its prognostic factors. In addition, the metastasis patterns of patients with MM were investigated, and the effects of different sites of metastasis on survival were compared using the Kaplan–Meier method. Age, sex, histological type, and chemotherapy were identified as the independent risk factors for OS. The 1-, 2-, and 3-year areas under the curve of the nomogram were 0.792, 0.774, and 0.928, and 0.742, 0.733, and 0.733 in the training and validation sets, respectively. Compared to OS, histological type, radiotherapy, and chemotherapy were independent risk factors for CSS. Different metastatic sites in MM have significantly different effects on prognosis. [ABSTRACT FROM AUTHOR]

Introduction: Tuberculous meningitis (TBM) is still a great challenge to global public health. As conventional diagnostic methods for TBM are unsatisfactory, interferon-γ release assays (IGRAs) have been introduced for TBM diagnosis tentatively. However, the role of IGRAs for diagnosing TBM remains unclear. Thus, we systematically evaluated the diagnostic performance of cerebrospinal fluid (CSF) and peripheral blood (PB) IGRAs in TBM to fill this blank.Material and Methods: Relevant studies were systematically searched in both foreign and Chinese databases up to March 2018. Studies in which TBM diagnosis was based on microbiological or clinical criteria were included. The quality of the included studies was assessed through the Quality Assessment of Diagnostic Accuracy Studies-2 (QUADAS-2) tool. Main outcome measures, including sensitivity, specificity, positive likelihood ratio (PLR), negative likelihood ratio (NLR) and diagnostic odds ratio (DOR), were pooled statistically using random effects models. The potential heterogeneity was explored by threshold effect analysis, subgroup analyses and meta-regression. Funnel plots and Egger's test were used to test the potential publication bias. Statistical analyses were performed using Stata and Meta-DiSc software.Results: Twenty-six out of 656 publications were eligible for meta-analysis, including 1892 participants in total. The pooled estimates of PB IGRAs for TBM diagnosis are as follows: sensitivity: 0.81 (95% CI: 0.78-0.84); specificity: 0.76 (95% CI: 0.73-0.78); PLR: 4.23 (95% CI: 2.95-6.07); NLR: 0.24 (95% CI: 0.19-0.32) and DOR: 21.06 (11.91-37.24). The corresponding estimates for CSF IGRAs were obtained: sensitivity: 0.81 (95% CI: 0.76-0.85); specificity: 0.89 (95% CI: 0.86-0.92); PLR: 7.87 (95% CI: 4.98-12.46); NLR: 0.19 (95% CI: 0.13-0.29); and DOR: 47.74 (25.02-91.12).Conclusions: The diagnostic performance of IGRAs is suboptimal. In terms of cost, turn-around time and accessibility, these assays are unsuitable for use as biomarkers for TBM diagnosis. [ABSTRACT FROM AUTHOR]

Hospital-acquired pneumonia (HAP) is a significant nosocomial infection; data on the distribution and antimicrobial resistance profiles of HAP in China are limited. We included 2827 adult patients with HAP from the Chinese Antimicrobial Resistance Surveillance of Nosocomial Infections network admitted in 15 Chinese teaching hospitals between 2007 and 2016. Clinical data and antimicrobial susceptibility of isolated pathogens were obtained from the medical records and central laboratory, respectively. Multivariable logistic regression was performed to determine the risk factors for mortality and multidrug resistance (MDR). A total of 386 (13.7%) patients died in the hospital, while 1181 (41.8%) developed ventilator-associated pneumonia (VAP). Active immunosuppressant therapy (OR 1.915 (95% CI 1.475–2.487)), solid tumor (OR 1.860 (95% CI 1.410–2.452)), coma (OR 1.783 (95% CI 1.364–2.333)), clinical pulmonary infection score ≥7 (OR 1.743 (95% CI 1.373–2.212)), intensive care unit stay (OR 1.652 (95% CI 1.292–2.111)), age ≥65 years (OR 1.621 (95% CI 1.282–2.049)), and tracheal cannula insertion (OR 1.613 (95% CI 1.169–2.224)) were independent risk factors for in-hospital mortality. Liver cirrhosis (OR 3.120 (95% CI 1.436–6.780)) and six other variables were independent predictors of MDR. Acinetobacter baumannii (25.6%), Pseudomonas aeruginosa (20.1%), Klebsiella pneumoniae (15.4%), and Staphylococcus aureus (12.6%) were the most common pathogens (MDR prevalence 64.9%). Isolates from VAP patients showed more A. baumannii and less K. pneumoniae and E. coli strains (p < 0.001, respectively) than those from patients without VAP. The proportion of methicillin-resistant S. aureus strains decreased; that of carbapenem-resistant A. baumannii and Enterobacterales strains increased. There had been changes in the antibiotic resistance profiles of HAP pathogens in China. Risk factors for mortality and MDR are important for the selection of antimicrobials for HAP in China. [ABSTRACT FROM AUTHOR]