Cascaded nanozyme-based high-throughput microfluidic device integrating with glucometer and smartphone for point-of-care pheochromocytoma diagnosis.

The development of point-of-care (POC) diagnostics devices for circulating tumor cells (CTCs) detection plays an important role in the early diagnosis of pheochromocytoma (PCC), especially in a low-resource setting. To further realize the rapid, portable, and high-throughput detection of CTCs, an Au@CuMOF cascade enzyme-based microfluidic device for instant point-of-care detection of CTCs was constructed by combining a smartphone application and a commercial portable glucose meter (PGM). In this microfluidic system, DOTA and norepinephrine (NE) modified Au@CuMOF signal probes and Fe3O4@SiO2 capture probes were used for the dual recognition and capture of rare PCC-CTCs. Then, the targeted binding of the Au@CuMOF cascade nanozymes to the CTCs endowed the cellular complexes with multienzyme mimetic activities (i.e., glucose oxidase-like and peroxidase-like activity) to catalyze glucose reduction as signal output for colorimetric and personal glucose meter (PGM) dual-mode detection of CTCs. The developed method has a linear range of 4 to 105 cells mL-1 and a detection limit of 3 cells mL-1. This method allows the simultaneous detection of six samples and demonstrates good applicability for CTCs detection in whole blood samples. More importantly, the combination of PGM, smartphone app and array microfluidic chips enables the rapid, portable, and high-throughput diagnoses of PCC, and providing provide a convenient and reliable alternative to traditional liquid biopsy diagnosis of various cancers.

Carbon dot-based fluorescent probe for early diagnosis of pheochromocytoma through identification of circulating tumor cells.

Pheochromocytoma (PCC), as a rare neuroendocrine tumor, is often missed or misdiagnosed because of its atypical clinical manifestations. To realize the early accurate diagnosis of PCC, we have selected circulating tumor cells (CTCs) with more complete biological information as biomarkers and developed a simple and novel fluorescence cytosensor. Octreotide-2,2',2'',2'''- (1,4,7,10 -tetraazacyclododecane-1,4,7,10-tetrayl) tetraacetic acid (DOTA) modified magnetic Fe3O4 and signal amplification CDs@SiO2 nanospheres are prepared to capture and detect PCC-CTCs from peripheral blood via binding to the somatostatin receptor SSTR2 overexpressed on the surface of PCC cells. During the detection process, the target cells were separated and enriched by magnetic capture probes (Fe3O4-DOTA), and then signal probes (CDs@SiO2-DOTA) could also specifically bound to target cells to form the sandwich-like structure for fluorescence signal output. The proposed fluorescence cytosensor has revealed good sensitivity and selectivity for quantitative analysis of PCC-CTCs in the concentration of 5-1000 cells mL-1 with a LOD of 2 cells mL-1. More importantly, designed fluorescence cytosensor has shown good reliability and stability in complex serum samples. This strategy provides a new way for detection of PCC-CTCs.

Morphology design and electronic configuration of MoSe2 anchored on TiO2 nanospheres for high energy density sodium-ion half/full batteries.

Molybdenum selenide (MoSe2) has shown potential sodium storage properties due to its large layer spacing (0.646 nm) and high theoretical capacity and narrow band gap. However, as the anode material of sodium ion batteries (SIBs), the MoSe2's performance is not ideal, especially due to the layer agglomeration and stacking caused by volume expansion and low intrinsic conductivity. Hence, morphology design and electronic configuration of MoSe2 is proposed via building MoSe2 nanosheets and auxiliary sulfur doping on the surface of the TiO2 hollow nanosphere (S-MoSe2@TiO2). The hierarchical shaped S-MoSe2@TiO2 effectively overcomes the shortcomings of high surface energy and weak interlayer van der Waals force of MoSe2. As anode for SIBs, S-MoSe2@TiO2 delivers enhanced cycling life and rate capability (308 mAh/g at 10 A/g after 1000 cycles) with the comparison of MoSe2@TiO2 or pure MoSe2 and TiO2. Such excellent sodium storage performance is due to the fast diffusion kinetics of Na+. When it is applied in sodium ion full batteries, the S-MoSe2@TiO2 anode based cell can reach a high energy density of 187.8 W h kg-1 at 148.3 W kg-1. The design of the new MoSe2-based hybrid provides a novel scheme for the preparation of advanced anode in SIBs.

Object Detection Based on Swin Deformable Transformer-BiPAFPN-YOLOX.

Object detection technology plays a crucial role in people's everyday lives, as well as enterprise production and modern national defense. Most current object detection networks, such as YOLOX, employ convolutional neural networks instead of a Transformer as a backbone. However, these techniques lack a global understanding of the images and may lose meaningful information, such as the precise location of the most active feature detector. Recently, a Transformer with larger receptive fields showed superior performance to corresponding convolutional neural networks in computer vision tasks. The Transformer splits the image into patches and subsequently feeds them to the Transformer in a sequence structure similar to word embeddings. This makes it capable of global modeling of entire images and implies global understanding of images. However, simply using a Transformer with a larger receptive field raises several concerns. For example, self-attention in the Swin Transformer backbone will limit its ability to model long range relations, resulting in poor feature extraction results and low convergence speed during training. To address the above problems, first, we propose an important region-based Reconstructed Deformable Self-Attention that shifts attention to important regions for efficient global modeling. Second, based on the Reconstructed Deformable Self-Attention, we propose the Swin Deformable Transformer backbone, which improves the feature extraction ability and convergence speed. Finally, based on the Swin Deformable Transformer backbone, we propose a novel object detection network, namely, Swin Deformable Transformer-BiPAFPN-YOLOX. experimental results on the COCO dataset show that the training period is reduced by 55.4%, average precision is increased by 2.4%, average precision of small objects is increased by 3.7%, and inference speed is increased by 35%.

A Meta-Analysis of Sleep Disorders and Nonalcoholic Fatty Liver Disease: Potential Causality and Symptom Management.

Nonalcoholic fatty liver disease is a type of metabolic disease, and recent research indicates that it may be associated with sleep disorders. We conducted a meta-analysis of current studies to estimate the associations between nonalcoholic fatty liver disease and sleep situation, including sleep duration, daytime sleepiness, and sleep disorder. This study follows the checklist of the Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA). Articles in the recent 10 years were searched from five databases. Eighteen articles, which met the eligibility criteria, were included in this meta-analysis. The results show that patients with nonalcoholic fatty liver disease have a shorter sleep duration and higher Epworth Sleepiness Scale score. Patients with short sleep duration (≤6 hours per night) or with obstructive sleep apnea have a higher risk of nonalcoholic fatty liver disease. In conclusion, there is a significant association between nonalcoholic fatty liver disease and sleep disorders in the included studies. In addition, patients with nonalcoholic fatty liver disease may have more severe daytime sleepiness and shorter sleep duration. More attention should be paid to the sleep situation of nonalcoholic fatty liver disease patients to potentially slow the disease progression.

The Effect of Recombinant Human Interferon Alpha Nasal Drops to Prevent COVID-19 Pneumonia for Medical Staff in an Epidemic Area.

BACKGROUND: Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), known as Coronavirus disease-2019 (COVID-19), has caused the sixth world's public health emergency. Healthcare staff, as the frontline population fighting the pandemic, are exposed to a high risk of infection. Therefore, developing a protective intervention for medical staff is of significant importance. OBJECTIVE: The aim of the study was to explore the effectiveness and safety of recombinant human interferon alpha (rhIFN-α) nasal drops for the prevention of coronavirus disease 2019 (COVID-19) through administering it to medical staff. METHODS: This was a prospective open-label clinical trial with parallel intervention assignment conducted on 2944 medical staff including both doctors and nurses from Taihe Hospital, Shiyan City, Hubei Province, China from January 21, 2020 to July 30, 2020. The participants were bifurcated into two groups of low risk and high risk groups according to the level of direct exposure to COVID-19 patients. The individuals of the low-risk group received rhIFN-α nasal drops for one month in addition to first level protection, and the high-risk group received a combination of rhIFN-α nasal drops coupled with thymosin-α1 with either second or third-level protection protocol. Moreover, the new-outset of COVID-19 pneumonia diagnosed by chest computed tomography (CT), after thirty days, was the primary outcome. The adverse reactions were recorded in all participants. RESULTS: 2415 of 2944 individuals belonged to the low-risk group, while 529 to the high-risk group. There was no COVID-19 pneumonia in either of the group after thirty days. The pulmonary CT scans were negative for COVID-19 pneumonia in both the groups with no new clinical symptoms. No serious adverse event was observed during the course of the intervention. CONCLUSION: The rhIFN-α nasal drops along with augmented safeguards based on standard physical isolation could effectively protect medical staff against COVID-19 pneumonia.

Gut Microbiome and Nonalcoholic Fatty Liver Disease (NAFLD): Implications for Nursing Care of Individuals Living With Chronic Metabolic Diseases.

At present, the incidence of nonalcoholic fatty liver disease (NAFLD) in adults is increasing year by year and at a younger age. Evidence-based healthcare has confirmed that NAFLD is closely related to obesity, cardiovascular disease, type 2 diabetes, metabolic syndrome, and other chronic metabolic diseases. Despite the growing prevalence of NAFLD, little is known about symptoms for patients at risk of NAFLD progression, thus preventing healthcare providers from intervening at an early stage. In addition, these symptoms usually cause problems for patients to cope with other chronic metabolic diseases. Symptoms may have a biological basis; especially as the changes of gut microbes may affect the symptoms of metabolic diseases. This article aims to describe the new role of gut microbes in the development of NAFLD, focusing on the potential relationship between gut microbes and symptoms of NAFLD, as well as the mechanism of action of the "gut-liver-brain" axis. This information can be useful in developing precise nursing interventions for NAFLD patients, restoring the "health" of gut microbes, and alleviating the symptom burden of chronic metabolic disease in NAFLD.

Dietary and metabolic risk of neuropsychiatric disorders: insights from animal models.

Neuropsychiatric disorders are major causes of the global burden of diseases, frequently co-occurring with multiple co-morbidities, especially obesity, type 2 diabetes mellitus, non-alcoholic fatty liver disease and its various risk factors in the metabolic syndrome. While the determining factors of neuropsychiatric disorders are complex, recent studies have shown that there is a strong link between diet, metabolic state and neuropsychiatric disorders, including anxiety and depression. There is no doubt that rodent models are of great value for preclinical research. Therefore, this article focuses on a rodent model of chronic consumption of high-fat diet (HFD), and/or the addition of a certain amount of cholesterol or sugar, meanwhile, summarising the pattern of diet that induces anxiety/depressive-like behaviour and the underlying mechanism. We highlight how dietary and metabolic risk influence neuropsychiatric behaviour in animals. Changes in dietary patterns, especially HFD, can induce anxiety- or depression-like behaviours, which may vary by diet exposure period, sex, age, species and genetic background of the animals used. Furthermore, dietary patterns significantly aggravate anxiety/depression-like behaviour in animal models of neuropsychiatric disorders. The mechanisms by which diet induces anxiety/depressive-like behaviour may involve neuroinflammation, neurotransmitters/neuromodulators, neurotrophins and the gut-brain axis. Future research should be focused on elucidating the mechanism and identifying the contribution of diet and diet-induced metabolic risk to neuropsychiatric disorders, which can form the basis for future clinical dietary intervention strategies for neuropsychiatric disorders.

[Change in serum levels of soluble Fas and soluble FasL in patients with multiple organ dysfunction syndrome].

OBJECTIVE: To evaluate the significance of changes in the serum levels of soluble Fas (sFas) and soluble Fas ligand (sFasL) in patients with multiple organ dysfunction syndrome (MODS) regarding its diagnosis and judgement of severity and outcome, and to investigate the correlations between the levels of tumor necrosis factor-alpha (TNF-alpha), sFas and sFasL. METHODS: Enzyme linked immunoadsorbent assay (ELISA) was used in the determination of serum sFas, sFasL and TNF-alpha in 36 patients with MODS. Thirty-two non SIRS patients and 20 healthy individuals comprised the control groups. The acute physiology and chronic health evaluation III (APACHE III) scoring system and modified MODS scoring system were used to assess patients' clinical severity. The differences of sFas and sFasL levels between MODS group and control groups and between survival and dead patients were observed. The correlations between sFas, sFasL and TNF-alpha levels and severity of MODS and the correlations between the TNF-alpha levels and the levels of sFas and sFasL were also observed. RESULTS: The serum levels of sFas, sFasL and TNF-alpha in patients with MODS were significantly higher than those in controls (P<0.05 or P<0.01), and were associated with severity of the disease (all P<0.01) . The sFas and sFasL levels were found to be significantly higher in the patients who eventually died as compared to those in the patients who survived (both P<0.05). Positive correlations were noted between the TNF-alpha levels and the levels of sFas and sFasL(both P<0.01). The serum levels of sFas and sFasL were elevated with the increase of the number of failure organs in MODS patients. CONCLUSION: The serum levels of sFas and sFasL may serve as diagnostic and prognostic indicators for MODS. TNF-alpha may help enhance the expression of Fas/FasL system.