Widespread mercurous [Hg(I)] species in mercury droplet impacted environments: Evidence from an abandoned Hg smelting plant in Xunyang, China.

Mercury (Hg) emissions from Hg smelting (roasting HgS ores) and artisanal small-scale gold mining predominantly include elemental Hg, in either liquid [Hg(0)l] or gaseous [Hg(0)g] form. The oxidation of Hg(0) into Hg(I) is the first step during Hg(0) oxidation, which enables Hg to enter the food web. However, this oxidation process remains poorly understood, particularly in Hg(0)l/Hg(0)g-impacted environments. Herein, we show the widespread occurrence of Hg(I) in Hg(0)l/Hg(0)g-exposed environmental matrices near an abandoned Hg smelting plant in Xunyang, Shaanxi, China, including water, sediment, soil, plant, fish, and insect. This plant produced elemental Hg by roasting HgS ore, leaving Hg(0)l in the factory area after abandonment, which continuously released Hg(0)l/Hg(0)g into the surrounding environment. In Hg(0)-impacted water, Hg(I) was one of the primary Hg species, with an average concentration of 876 (not detected to 6109) ng L-1 and an average Hg(I) to total dissolved Hg ratio of 46% (0-92%), exhibiting a decrease with increasing distance from the plant. Elevated levels of Hg(I) were observed when the upstream sample was simultaneously exposed to Hg(0)l and Hg(0)g, arising from aqueous Hg(0)l oxidation and comproportionation between Hg(II) (mainly from Hg(0)l oxidation) and dissolved Hg(0) (i.e., Hg2+ + Hg0 → Hg22+). These findings highlight the impact of Hg(0) (as Hg(0)l and Hg(0)g) on the environment, emphasizing the comproportionation formation of Hg(I) in natural waters.

Efficacy of sulodexide in treating idiopathic membranous nephropathy among Chinese patients: a meta-analysis.

OBJECTIVE: To evaluate the efficacy of Sulodexide in treating idiopathic membranous nephropathy (IMN) in the Chinese population. METHODS: We systematically reviewed all eligible randomized clinical trials (RCTs) conducted in China that investigated the effects of Sulodexide on IMN. Three RCTs published between 2013 and 2022 were included, encompassing a total of 146 patients. The primary outcomes evaluated were changes in urine total protein (UTP), serum albumin (ALB), cholesterol (CHOL), and fibrinogen (FIB) levels. RESULTS: Statistically significant differences were observed in the Sulodexide treatment group compared to the control group for the following parameters: reduction in UTP and CHOL, increase in ALB, and reduction in FIB levels. CONCLUSION: Sulodexide, when combined with conventional therapy, effectively reduces UTP and CHOL levels, decreases FIB levels, and increases ALB in Chinese patients with IMN.

Dietary inflammatory index and the risks of non-alcoholic fatty liver disease: a systematic review and meta-analysis.

Background: Previous studies have suggested a correlation between dietary inflammatory potential and non-alcoholic fatty liver disease (NAFLD). Therefore, the study aimed to investigate the association between dietary inflammatory potential, measured by the dietary inflammation index (DII), and NAFLD. Methods: From establishing the database to June 2023, a systematic search of PubMed, Web of Science, Embase and Cochrane Library were performed to identify relevant observational studies. These studies reported a correlation between DII and NAFLD. The meta-analysis used odds ratio (OR) with 95% confidence intervals (CI) to evaluate the relationship between DII and NAFLD. Results: Eight studies were included in this meta-analysis after excluding irrelevant records. A summary of the results from the included studies showed that the risk of NAFLD was higher in those exposed to higher DII (OR = 1.26, 95%CI 1.12 to 1.40, p < 0.001), with a high degree of heterogeneity (I2 = 85.7%, p < 0.001). When DII was divided into 3 tertiles from low to high for comparison, the results showed that the risk of NAFLD was higher in Tertile 2 (T2) population compared to the Tertile 1 (T1) population (OR = 1.75, 95%CI 1.20 to 2.54, p < 0.005). The risk of NAFLD was significantly higher in Tertile 3 (T3) compared to the T1 population (OR = 3.07, 95%CI 1.63 to 5.77, p = 0.001). Conclusion: The results suggest that high DII is associated with an increased risk of NAFLD, and conversely, low DII is associated with a decreased risk of NAFLD. Systematic Review Registration: The study complies with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines and is registered on PROSPERO (CRD42023455013).

Developing mapping algorithms to predict EQ-5D health utility values from Bath Ankylosing Spondylitis Disease Activity Index and Bath Ankylosing Spondylitis Functional Index among patients with Ankylosing Spondylitis.

BACKGROUND: Preference-based measures of health-related quality of life (HRQoL), such as the EQ-5D or the SF-6D, are essential for health economic evaluation. However, they are rarely included in clinical trials of ankylosing spondylitis (AS). This study aims to develop mapping algorithms to predict EQ-5D-3L and EQ-5D-5L health utility scores from the Bath Ankylosing Disease Activity Index (BASDAI) and the Bath Ankylosing Spondylitis Functional Index (BASFI). METHODS: Patients with AS were recruited from the largest tertiary hospital in Shandong province, China, between December 2019 and October 2020. Patients were selected by convenience sampling method according to the following criteria: (1) diagnosed with AS according to the New York criteria; (2) aged 18 years and above; and (3) without mental disorders; (4) able to understand the questionnaires; (5) without serious complications. There were 243 patients who completed the face-to-face questionnaire survey, and 5 cases with missing values in key variables were excluded. Ordinary least squares, censored least absolute deviations, Tobit, adjusted limited dependent variable mixture model and beta-mixture model (BM) in the direct approach and ordered logit and multinomial logit (Mlogit) model in the response approach were used to develop mapping algorithms. Mean absolute error, root mean square error, Spearman's correlation coefficient and concordance correlation coefficient were used to access predictive performance. RESULTS: The 238 patients with AS had a mean age of 35.19 (SD = 9.59) years, and the majority (74.47%) were male. The observed EQ-5D-3L and EQ-5D-5L health utility values were 0.88 (SD = 0.12) and 0.74 (SD = 0.27), respectively. The EQ-5D-5L had higher conceptual overlap with the BASDAI and BASFI than the EQ-5D-3L did. The Mlogit was the best-performing model for the EQ-5D-3L, and the BM showed better performance in predicting EQ-5D-5L than other direct and indirect mapping models did. CONCLUSION: This study demonstrates that the EQ-5D-5L, rather than EQ-5D-3L, should be selected as the target outcome measure of HRQoL in patients with AS in China, and the BM mapping algorithm could be used to predict EQ-5D-5L values from BASDAI and BASFI for health economic evaluation.

Probing perfection: The relentless art of meddling for pulmonary airway segmentation from HRCT via a human-AI collaboration based active learning method.

In the realm of pulmonary tracheal segmentation, the scarcity of annotated data stands as a prevalent pain point in most medical segmentation endeavors. Concurrently, most Deep Learning (DL) methodologies employed in this domain invariably grapple with other dual challenges: the inherent opacity of 'black box' models and the ongoing pursuit of performance enhancement. In response to these intertwined challenges, the core concept of our Human-Computer Interaction (HCI) based learning models (RS_UNet, LC_UNet, UUNet and WD_UNet) hinge on the versatile combination of diverse query strategies and an array of deep learning models. We train four HCI models based on the initial training dataset and sequentially repeat the following steps 1-4: (1) Query Strategy: Our proposed HCI models selects those samples which contribute the most additional representative information when labeled in each iteration of the query strategy (showing the names and sequence numbers of the samples to be annotated). Additionally, in this phase, the model selects the unlabeled samples with the greatest predictive disparity by calculating the Wasserstein Distance, Least Confidence, Entropy Sampling, and Random Sampling. (2) Central line correction: The selected samples in previous stage are then used for domain expert correction of the system-generated tracheal central lines in each training round. (3) Update training dataset: When domain experts are involved in each epoch of the DL model's training iterations, they update the training dataset with greater precision after each epoch, thereby enhancing the trustworthiness of the 'black box' DL model and improving the performance of models. (4) Model training: Proposed HCI model is trained using the updated training dataset and an enhanced version of existing UNet. Experimental results validate the effectiveness of this Human-Computer Interaction-based approaches, demonstrating that our proposed WD-UNet, LC-UNet, UUNet, RS-UNet achieve comparable or even superior performance than the state-of-the-art DL models, such as WD-UNet with only 15 %-35 % of the training data, leading to substantial reductions (65 %-85 % reduction of annotation effort) in physician annotation time.

Efficacy and Safety of Potassium-competitive Acid Blockers Versus Proton Pump Inhibitors in Treating Erosive Esophagitis: A Meta-analysis Based on Randomized Controlled Trials.

OBJECTIVE: This meta-analysis aimed to investigate the efficacy and safety of potassium-competitive acid blockers (P-CABs) and proton pump inhibitors (PPIs) in treating erosive esophagitis (EE). METHODS: PubMed, Embase, Cochrane Library, and Web of Science were systematically searched using predefined search terms up to January 2024. Relevant randomized controlled trials were included. The outcoming were the EE healing rate and treatment-related adverse events incidence. RESULTS: Nine randomized controlled trials involving 4012 patients were included. Patients receiving P-CAB exhibited a significantly better overall healing rate compared with PPI at week 2 [risk ratio (RR) = 1.06], but no statistical difference was observed at week 4 and week 8. Subgroup analysis revealed that P-CAB demonstrated a higher healing rate for patients with Los Angeles (LA) grade C/D, regardless of the assessment at week 2 (RR = 1.17), week 4 (RR = 1.10), or week 8 (RR = 1.08). However, no significant difference was found between PPI and P-CAB for patients with LA grade A/B at week 2, week 4, or week 8. Furthermore, patients treated with P-CAB had lower recurrence rates during maintenance therapy compared with PPI (RR = 0.79). In terms of safety, P-CAB was associated with a lower incidence of headache compared with PPI (RR = 0.32), with no statistical difference found in any treatment-related adverse events between the two groups. CONCLUSIONS: P-CAB was found to be safe and effective for EE treatment compared with PPI, particularly in 2-week short-term treatment, severe EE (LA grade C/D) treatment, or maintenance therapy. Limitations such as potential heterogeneity among included trials should be considered in the interpretation of these findings.

Efficacy and Safety of Programmed Death 1/Programmed Death-Ligand 1 Plus Cytotoxic T-Lymphocyte-Associated Antigen 4 Inhibitors for Advanced or Metastatic Non-Small Cell Lung Cancer: A Meta-analysis Based on Randomized Controlled Trials.

BACKGROUND: This meta-analysis aims to investigate the efficacy and safety of programmed death 1 (PD-1)/programmed death-ligand 1 (PD-L1) combined with cytotoxic T-lymphocyte-associated antigen 4 (CTLA-4) inhibitors for patients with advanced or metastatic non-small cell lung cancer (NSCLC). METHODS: Authors conducted a comprehensive search of PubMed, Embase, Cochrane Library, Web of Science, Scopus, and Medline for randomized controlled trials comparing the prognosis and safety of PD-1/PD-L1 plus CTLA-4 inhibitors with other therapies for advanced or metastatic NSCLC. Hazard ratios (HRs) and 95% confidence intervals (CIs) were used as effect sizes. The primary outcomes of this study were overall survival (OS) and progression-free survival. RESULTS: A total of 4943 patients diagnosed with stage III/IV advanced or metastatic NSCLC were included in the analysis of the 6 randomized controlled trials. The results showed that patients receiving dual immunotherapy with PD-1/PD-L1 plus CTLA-4 inhibitors had a longer survival time compared with the control group (HR = 0.88, P = 0.044). However, no statistically significant difference was observed in progression-free survival (HR = 0.95, P = 0.579). Subgroup analysis revealed better OS in the interventional group for patients aged >65 years (HR = 0.88, P = 0.076), smokers (HR = 0.81, P = 0.036), and those with a tumor mutational burden (TMB) ≥20 mut/Mb (HR = 0.66, P < 0.001). Conversely, the control group demonstrated superior OS in patients with TMB <20 mut/Mb (HR = 1.14, P = 0.048). In addition, the statistical results indicated a lower incidence rate of any-grade anemia in the dual immunotherapy group compared with the control group (RR = 0.32, P = 0.04). CONCLUSIONS: This meta-analysis demonstrates the effectiveness and safety of dual immunotherapy with PD-1/PD-L1 plus CTLA-4 inhibitors for treating advanced or metastatic NSCLC. Its efficacy is influenced by certain clinical and pathological factors, such as age, smoking status, and TMB.

Degradation of organic mercury in high salt environments by a marine aerobic bacterium Alteromonas macleodii KD01.

Mercury (Hg), particularly organic mercury, poses a global concern due to its pronounced toxicity and bioaccumulation. Bioremediation of organic mercury in high-salt wastewater faces challenges due to the growth limitations imposed by elevated Cl- and Na+ concentrations on microorganisms. In this study, an isolated marine bacterium Alteromonas macleodii KD01 was demonstrated to degrade methylmercury (MeHg) efficiently in seawater and then was applied to degrade organic mercury (MeHg, ethylmercury, and thimerosal) in simulated high-salt wastewater. Results showed that A. macleodii KD01 can rapidly degrade organic mercury (within 20 min) even at high concentrations (>10 ng/mL), volatilizing a portion of Hg from the wastewater. Further analysis revealed an increased transcription of organomercury lyase (merB) with rising organic mercury concentrations during the exposure process, suggesting the involvement of mer operon (merA and merB). These findings highlight A. macleodii KD01 as a promising candidate for addressing organic mercury pollution in high-salt wastewater.

Astrocytic ALKBH5 in stress response contributes to depressive-like behaviors in mice.

Epigenetic mechanisms bridge genetic and environmental factors that contribute to the pathogenesis of major depression disorder (MDD). However, the cellular specificity and sensitivity of environmental stress on brain epitranscriptomics and its impact on depression remain unclear. Here, we found that ALKBH5, an RNA demethylase of N6-methyladenosine (m6A), was increased in MDD patients' blood and depression models. ALKBH5 in astrocytes was more sensitive to stress than that in neurons and endothelial cells. Selective deletion of ALKBH5 in astrocytes, but not in neurons and endothelial cells, produced antidepressant-like behaviors. Astrocytic ALKBH5 in the mPFC regulated depression-related behaviors bidirectionally. Meanwhile, ALKBH5 modulated glutamate transporter-1 (GLT-1) m6A modification and increased the expression of GLT-1 in astrocytes. ALKBH5 astrocyte-specific knockout preserved stress-induced disruption of glutamatergic synaptic transmission, neuronal atrophy and defective Ca2+ activity. Moreover, enhanced m6A modification with S-adenosylmethionine (SAMe) produced antidepressant-like effects. Our findings indicate that astrocytic epitranscriptomics contribute to depressive-like behaviors and that astrocytic ALKBH5 may be a therapeutic target for depression.

The Association of Malnutrition and Health-Related Factors among 474,467 Older Community-Dwellers: A Population-Based Data Mining Study in Guangzhou, China.

BACKGROUND: This study aimed to examine the prevalence and associated factors of malnutrition in older community-dwellers and explore the interaction between associated factors. METHODS: A total of 474,467 older community-dwellers aged 65 or above were selected in Guangzhou, China. We used a two-step methodology to detect the associated factors of malnutrition and constructed logistic regression models to explore the influencing factors and interactive effects on three patterns of malnutrition. RESULTS: The prevalence of malnutrition was 22.28%. Older adults with both hypertension and diabetes (RERI = 0.13), both meat or fish diet and hypertension (RERI = 0.79), and both meat or fish diet and diabetes (RERI = 0.81) had positive additive interaction effects on the risk of obesity, whereas those on a vegetarian diet with hypertension (RERI = -0.25) or diabetes (RERI = -0.19) had negative additive interaction effects. Moreover, the interactions of physical activity with a meat or fish diet (RERI = -0.84) or dyslipidemia (RERI = -0.09) could lower the risk of obesity. CONCLUSIONS: Malnutrition was influenced by different health factors, and there were interactions between these influencing factors. Pertinent dietary instruction should be given according to different nutritional status indexes and the prevalence of metabolic diseases to avoid the occurrences of malnutrition among older adults.

Correlation between disease activity and patient-reported health-related quality of life in rheumatoid arthritis: a cross-sectional study.

OBJECTIVE: We aimed to provide a comprehensive assessment of health-related quality of life (HRQoL) in patients with rheumatoid arthritis (RA) of different activities and to evaluate the correlation between clinical activity measures and HRQoL instruments. This research also analysed the extent to which different aspects of HRQoL (physical, psychological and social) were affected. DESIGN: Cross-sectional, observational, non-interventional study. SETTING: The study was conducted at the Department of Rheumatology and Immunology, Qilu Hospital, Shandong University. METHODS: From December 2019 to October 2020, a total of 340 RA patients participated in the survey using convenient sampling. Three generic instruments, EQ-5D-5L,SF-12 and the AQoL-4D, as well as an RA-specific instrument,the Stanford Health Assessment Questionnaire Disability Index (HAQ-DI), were administered to assess patients' HRQoL. The Disease Activity Score 28-Erythrocyte Sedimentation Rate (DAS28-ESR) was used by doctors to measure patients' clinical activity. Multivariable linear regression was used to compare patients' HRQoL across different levels of activity. Spearman's correlation was used to assess the correlation between doctor-reported clinical activity and HRQoL. RESULTS: A total of 314 patients with RA participated in this study. The mean score of HAQ-DI was 0.87 (SD: 0.91). Using patients in the clinical remission group as a reference, patients in the moderate and high disease activity groups showed significantly reduced health state utility values and HRQoL scores (all p<0.05). On the contrary, there was an increase in HAQ-DI scores, indicating more impairment (p<0.05). All instruments included in the study tended to differentiate disease activity based on multiple criteria, with scores showing a moderate to strong correlation with RA activity (|rs|=0.50 to 0.65). Among them, the disease-specific instrument had the highest correlation. CONCLUSIONS: RA can have considerable impairment on patients' HRQoL, both in terms of physical and psychosocial functioning. Given the strong correlation between clinical activity and HRQoL scores, and the fact that HRQoL can be an important clinical supplement. The EQ-5D-5L is probably the most appropriate generic measurement instrument for measuring HRQoL in RA patients.

Transformation of Mercurous [Hg(I)] Species during Laboratory Standard Preparation and Analysis: Implication for Environmental Analysis.

Hg(I) may control Hg redox kinetics; however, its metastable nature hinders analysis. Herein, the stability of Hg(I) during standard preparation and analysis was studied. Gravimetric analysis showed that Hg(I) was stable in its stock solution (1000 mg L-1), yet completely disproportionated when its dilute solution (10 µg L-1) was analyzed using liquid chromatography (LC)-ICPMS. The Hg(I) dimer can form through an energetically favorable comproportionation between Hg(0) and Hg(II), as supported by density functional theory calculation and traced by the rapid isotope exchange between 199Hg(0)aq and 202Hg(II). However, the separation of Hg(0) and Hg(II) (e.g., LC process) triggered its further disproportionation. Polypropylene container, increasing headspace, decreasing pH, and increasing dissolved oxygen significantly enhanced the disproportionation or redox transformations of Hg(I). Thus, using a glass container without headspace and maintaining a slightly alkaline solution are recommended for the dilute Hg(I) stabilization. Notably, we detected elevated concentrations of Hg(I) (4.4-6.1 µg L-1) in creek waters from a heavily Hg-polluted area, accounting for 54-70% of total dissolved Hg. We also verified the reductive formation of Hg(I) in Hg(II)-spiked environmental water samples, where Hg(I) can stably exist in aquatic environments for at least 24 h, especially in seawater. These findings provide mechanistic insights into the transformation of Hg(I), which are indicative of its further environmental identification.

Post-COVID highlights: Challenges and solutions of artificial intelligence techniques for swift identification of COVID-19.

Since the onset of the COVID-19 pandemic in 2019, there has been a concerted effort to develop cost-effective, non-invasive, and rapid AI-based tools. These tools were intended to alleviate the burden on healthcare systems, control the rapid spread of the virus, and enhance intervention outcomes, all in response to this unprecedented global crisis. As we transition into a post-COVID era, we retrospectively evaluate these proposed studies and offer a review of the techniques employed in AI diagnostic models, with a focus on the solutions proposed for different challenges. This review endeavors to provide insights into the diverse solutions designed to address the multifaceted challenges that arose during the pandemic. By doing so, we aim to prepare the AI community for the development of AI tools tailored to address public health emergencies effectively.

The cardiac-related adverse events of PD-1/PD-L1 immunotherapy in advanced or metastatic lung cancer: a RCT-based meta-analysis.

BACKGROUND: This study aims to investigate the effect of PD-1/PD-L1 immunotherapy on cardiac-related adverse events in patients with advanced or metastatic lung cancer. METHODS: We conducted a detailed search in PubMed, Web of Science, Cochran, and Embase for articles on the application of immunotherapy for lung cancer and report cardiac-related adverse events with respect to myocardial ischemia, pericardial effusion, myocarditis, and electrophysiology. The dichotomous variables were assessed by relative risk (RR) and 95% confidence intervals (CI). RESULTS: A total of 7132 subjects were included in 12 phase III randomized controlled trials (RCTs). The results showed that under the fixed effects model, the probability of cardiac-related adverse events in pericardial effusion was higher in the experimental group than in the control group (RR 2.30, 95% CI 1.01-5.21, P = 0.05). Under the random effects model, there was no statistical difference between the two groups (RR 2.03, 95% CI 0.81-5.12, P = 0.13). No statistical difference is observed between the experimental group and the control group (under the fixed effects model and the random effects model) for other cardiac-related adverse events, including myocarditis, acute coronary syndrome, myocardial infarction, acute myocardial infarction, myocardial ischemia, unstable angina, ventricular tachycardia, supraventricular tachycardia, tachycardia, bradycardia, atrial flutter, atrial fibrillation, cardiac failure, cardiac arrest, cardiopulmonary failure, acute heart failure, cardiac arrest (all P > 0.05). CONCLUSIONS: PD-1/PD-L1 immunotherapy in advanced or metastatic lung cancer is generally safe for cardiac-related adverse events.

Dark oxidation of mercury droplet: Mercurous [Hg(I)] species controls transformation kinetics.

Liquid elemental mercury droplet (Hg(0)l) is an important species in heavy Hg-contaminated environments. The oxidation processes of Hg(0)l and its related mechanisms are still poorly understood. Herein, for the first time, it was verified that mercurous species [Hg(I)] was an important species in natural water contaminated by Hg(0)l as well as in the simulated dark oxidation of Hg(0)l. The formation and further transformation of Hg(I) controlled the overall oxidation process of Hg(0)l and were affected by different environmental factors. Through kinetic modeling using ACUCHEM program, oxidation of Hg(0) to Hg(I) (Hg(0) â†’ Hg(I)) was determined to be the rate-limiting step in Hg(0)l oxidation because its k value ((8.7 ± 0.21) × 10-11s-1) is seven orders of magnitude lower than that of Hg(I) oxidation (Hg(I) â†’ Hg(II), (4.7 ± 0.15) × 10-4s-1). Ligands like OH-, Cl-, and natural organic matter enhanced the formation of Hg(I) via promoting the constants of comproportionation (up to (9.5 ± 0.78) × 10-4s-1). These findings highlight the importance of Hg(I) in Hg(0)l oxidation process by controlling the transformation kinetics of Hg species, facilitating an improved understanding of the environmental redox cycles of Hg.

Early Diagnosis of Mild Cognitive Impairment due to Alzheimer's Disease Using a Composite of MemTrax and Blood Biomarkers.

BACKGROUND: Accessible measurements for the early detection of mild cognitive impairment (MCI) due to Alzheimer's disease (AD) are urgently needed to address the increasing prevalence of AD. OBJECTIVE: To determine the benefits of a composite MemTrax Memory Test and AD-related blood biomarker assessment for the early detection of MCI-AD in non-specialty clinics. METHODS: The MemTrax Memory Test and Montreal Cognitive Assessment were administered to 99 healthy seniors with normal cognitive function and 101 patients with MCI-AD; clinical manifestation and peripheral blood samples were collected. We evaluated correlations between the MemTrax Memory Test and blood biomarkers using Spearman's rank correlation analyses and then built discrimination models using various machine learning approaches that combined the MemTrax Memory Test and blood biomarker results. The models' performances were assessed according to the areas under the receiver operating characteristic curve. RESULTS: The MemTrax Memory Test and Montreal Cognitive Assessment areas under the curve for differentiating patients with MCI-AD from the healthy controls were similar. The MemTrax Memory Test strongly correlated with phosphorylated tau 181 and amyloid-ß42/40. The area under the curve for the best composite MemTrax Memory Test and blood biomarker model was 0.975 (95% confidence interval: 0.950-0.999). CONCLUSION: Combining MemTrax Memory Test and blood biomarker results is a promising new technique for the early detection of MCI-AD.

Fuzzy Attention Neural Network to Tackle Discontinuity in Airway Segmentation.

Airway segmentation is crucial for the examination, diagnosis, and prognosis of lung diseases, while its manual delineation is unduly burdensome. To alleviate this time-consuming and potentially subjective manual procedure, researchers have proposed methods to automatically segment airways from computerized tomography (CT) images. However, some small-sized airway branches (e.g., bronchus and terminal bronchioles) significantly aggravate the difficulty of automatic segmentation by machine learning models. In particular, the variance of voxel values and the severe data imbalance in airway branches make the computational module prone to discontinuous and false-negative predictions, especially for cohorts with different lung diseases. The attention mechanism has shown the capacity to segment complex structures, while fuzzy logic can reduce the uncertainty in feature representations. Therefore, the integration of deep attention networks and fuzzy theory, given by the fuzzy attention layer, should be an escalated solution for better generalization and robustness. This article presents an efficient method for airway segmentation, comprising a novel fuzzy attention neural network (FANN) and a comprehensive loss function to enhance the spatial continuity of airway segmentation. The deep fuzzy set is formulated by a set of voxels in the feature map and a learnable Gaussian membership function. Different from the existing attention mechanism, the proposed channel-specific fuzzy attention addresses the issue of heterogeneous features in different channels. Furthermore, a novel evaluation metric is proposed to assess both the continuity and completeness of airway structures. The efficiency, generalization, and robustness of the proposed method have been proved by training on normal lung disease while testing on datasets of lung cancer, COVID-19, and pulmonary fibrosis.

Prevalence of inappropriate use of nirmatrelvir-ritonavir antiviral therapy in hospitalized patients: A multi-centre retrospective study in China.

BACKGROUND: Nirmatrelvir-ritonavir (NMVr) is a recently developed antiviral agent for treating coronavirus disease 2019 (COVID-19); however, data describing its appropriate use are scarce. This study examined the prevalence of inappropriate use of NMVr in a Chinese hospital setting. METHODS: A multi-centre retrospective chart review was performed for all hospitalized patients who received NMVr between 15 December 2022 and 15 February 2023 in four university-affiliated hospitals in Hangzhou, China. A multi-disciplinary team of experts developed the evaluation criteria. A group of senior clinical pharmacists examined and verified the suitability of NMVr prescriptions. RESULTS: In total, 247 patients received NMVr during the study period, of which 13.4% (n=31) met all the criteria for appropriate use of NMVr. The main types of inappropriate use of NMVr were delayed initiation of treatment (n=147, 59.5%), no dose adjustment for moderate renal impairment (n=46, 18.6%), use in patients with severe-to-critical COVID-19 (n=49, 19.8%), presence of contra-indicated drug‒drug interactions with other medications (n=36, 14.6%), and prescription for patients without a confirmed diagnosis of COVID-19 (n=36, 14.6%). CONCLUSIONS: The proportion of inappropriate use of NMVr was particularly high in the Chinese hospital setting, highlighting the urgent need to improve the appropriate use of NMVr.

O-GlcNAc transferase in astrocytes modulates depression-related stress susceptibility through glutamatergic synaptic transmission.

Major depressive disorder is a common and devastating psychiatric disease, and the prevalence and burden are substantially increasing worldwide. Multiple studies of depression patients have implicated glucose metabolic dysfunction in the pathophysiology of depression. However, the molecular mechanisms by which glucose and related metabolic pathways modulate depressive-like behaviors are largely uncharacterized. Uridine diphosphate N-acetylglucosamine (UDP-GlcNAc) is a glucose metabolite with pivotal functions as a donor molecule for O-GlcNAcylation. O-GlcNAc transferase (OGT), a key enzyme in protein O-GlcNAcylation, catalyzes protein posttranslational modification by O-GlcNAc and acts as a stress sensor. Here, we show that Ogt mRNA was increased in depression patients and that astroglial OGT expression was specifically upregulated in the medial prefrontal cortex (mPFC) of susceptible mice after chronic social-defeat stress. The selective deletion of astrocytic OGT resulted in antidepressant-like effects, and moreover, astrocytic OGT in the mPFC bidirectionally regulated vulnerability to social stress. Furthermore, OGT modulated glutamatergic synaptic transmission through O-GlcNAcylation of glutamate transporter-1 (GLT-1) in astrocytes. OGT astrocyte-specific knockout preserved the neuronal morphology atrophy and Ca2+ activity deficits caused by chronic stress and resulted in antidepressant effects. Our study reveals that astrocytic OGT in the mPFC regulates depressive-like behaviors through the O-GlcNAcylation of GLT-1 and could be a potential target for antidepressants.