"Magnet" Based on Activated Silver Nanoparticles Adsorbed Bacteria to Predict Refractory Apical Periodontitis Via Surface-Enhanced Raman Scattering.

Refractory apical periodontitis (RAP) is an endodontic apical inflammatory disease caused by Enterococcus faecalis (E. faecalis). Bacterial detection using surface-enhanced Raman scattering (SERS) technology is a hot research topic, but the specific and direct detection of oral bacteria is a challenge, especially in real clinical samples. In this paper, we develop a novel SERS-based green platform for label-free detection of oral bacteria. The platform was built on silver nanoparticles with a two-step enhancement way using NaBH4 and sodium (Na+) to form "hot spots," which resulted in an enhanced SERS fingerprint of E. faecalis with fast, quantitative, lower-limit, reproducibility, and stability. In combination with machine learning, four different oral bacteria (E. faecalis, Porphyromonas gingivalis, Streptococcus mutans, and Escherichia coli) could be intelligently distinguished. The unlabeled detection method emphasized the specificity of E. faecalis in simulated saliva, serum, and even real samples from patients with clinical root periapical disease. In addition, the assay has been shown to be environmentally friendly and without secondary contamination through antimicrobial assays. The proposed label-free, rapid, safe, and green SERS detection strategy for oral bacteria provided an innovative solution for the early diagnosis and prevention of RAP and other perioral diseases.

Unveiling Anoikis-related genes: A breakthrough in the prognosis of bladder cancer.

BACKGROUND: Bladder cancer (BLCA) is a prevalent malignancy worldwide. Anoikis remains a new form of cell death. It is necessary to explore Anoikis-related genes in the prognosis of BLCA. METHODS: We obtained RNA expression profiles from the The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus databases for dimensionality reduction analysis and isolated epithelial cells, T cells and fibroblasts for copy number variation analysis, pseudotime analysis and transcription factor analysis based on R package. We integrated machine-learning algorithms to develop the artificial intelligence-derived prognostic signature (AIDPS). RESULTS: The performance of AIDPS with clinical indicators was stable and robust in predicting BLCA and showed better performance in every validation dataset compared to other models. Mendelian randomization analysis was conducted. Single nucleotide polymorphism (SNP) sites of rs3100578 (HK2) and rs66467677 (HSP90B1) exhibited significant correlation of bladder problem (not cancer) and bladder cancer, whereasSNP sites of rs3100578 (HK2) and rs947939 (BAD) had correlation between bladder stone and bladder cancer. The immune infiltration analysis of the TCGA-BLCA cohort was calculated via the ESTIMATE (i.e. Estimation of STromal and Immune cells in MAlignantTumours using Expression data) algorithm which contains stromal, immune and estimate scores. We also found significant differences in the IC50 values of Bortezomib_1191, Docetaxel_1007, Staurosporine_1034 and Rapamycin_1084 among the high- and low-risk groups. CONCLUSIONS: In conclusion, these findings indicated Anoikis-related prognostic genes in BLCA and constructed an innovative machine-learning model of AIDPS with high prognostic value for BLCA.

Integrated surface-enhanced Raman spectroscopy and convolutional neural network for quantitative and qualitative analysis of pesticide residues on pericarp.

Pesticide residue poses a significant global public health concern, necessitating improved detection methods. Here, a novel platform was introduced based on surface-enhanced Raman spectroscopy (SERS) to detect ten distinct types of pesticides. Notably, the sensitivity of this approach is exemplified by detecting trace amounts of 50 pM (10 ppt) thiabendazole. The correlation between the characteristic peak intensity of coexisting pesticides and their concentrations displays an exceptional linear relationship (R2 = 0.9999), underscoring its utility for quantitative mixed pesticide detection. Additionally, qualitative analysis of five mixed pesticides was conducted leveraging distinctive peak labeling. Harnessing machine learning techniques, a model for classifying and predicting pesticides on pericarps was developed. Remarkably, the convolutional neural network achieved classification accuracy of 100 % and prediction accuracy of 99.62 %. This innovative approach accurately identifies and quantifies diverse pesticides, thus offering a feasible scheme for in-situ detection of pesticide residues. Ultimately, this strategy contributes to ensuring food safety and public health.

Alterations in the intestinal microbiota associated with active tuberculosis and latent tuberculosis infection.

Objectives: To study the characteristics of intestinal microbiota at different stages of Mycobacterium tuberculosis infection. Methods: Fecal samples of 19 active tuberculosis (ATB) patients, 21 latent tuberculosis infection (LTBI) individuals, and 20 healthy controls (HC) were collected. Gut microbiota of all the participants were analyzed by 16S rDNA sequencing. Clinical information of ATB patients was also collected and analyzed. Results: Both ATB and LTBI groups showed significant decreases in microbial diversity and decline of Clostridia. For ATB patients, bacteria within phylum Proteobacteria increased. While for LTBI individuals, genera Prevotella and Rosburia enriched. The abundance of Faecalibacterium, Clostridia and Gammaproteobacteria has the potential to diagnose ATB, with the area under the curve (AUC) of 0.808, 0.784 and 0.717. And Prevotella and Rosburia has the potential to diagnose LTBI, with the AUC of 0.689 and 0.689. Notably, in ATB patients, the relative abundance of Blautia was negatively correlated with the proportions of peripheral T cells and CD8+T cells. And serum direct bilirubin was positively correlated with Bacteroidales, while negatively correlated with Clostridiales in ATB patients. Conclusions: The specifically changed bacteria are promising markers for ATB and LTBI diagnosis. Some gut bacteria contribute to anti-MTB immunity through interactions with T cells and bilirubin.

Preoperative moderate to severe anemia is associated with increased postoperative major adverse cardiac and cerebral events and pulmonary complications: a propensity score-matched analysis in hip fracture surgery patients over 80 years old.

BACKGROUND: Anemia is a common health problem in the elderly. Preoperative anemia is a risk factor for postoperative outcomes in the elderly for hip fracture. The objective of the study was to explore the relationship between preoperative moderate to severe anemia and postoperative morbidity and mortality in hip fracture patients over 80 years old. METHODS: We performed a retrospective cohort study exploring preoperative moderate to severe anemia and postoperative morbidity and mortality. Patients over 80 years old undergoing hip fracture surgery were included in the study. Data were collected for major adverse cardiac and cerebral events (MACCE), postoperative pulmonary complications (PPCs), in-hospital mortality, delirium, gastrointestinal complication, deep venous thrombus (DVT), acute renal failure, ICU admission, and perioperative transfusion > 2 units rate. RESULTS: A total of 912 eligible patients were included for unmatched cohort analysis, and 512 patients were included for matched cohort analysis after propensity score matching. Baseline characteristics between the normal to mild anemia and moderate to severe anemia groups were significantly different. More patients in the moderate to severe cohort had a higher ASA classification grade III and female ratio. Patients in the moderate and severe anemia cohorts had more MACCE (unadjusted: odds ratio [OR] 1.968, 96% CI 1.090-3.555, P 0.023; adjusted: OR 1.929, 95% CI 1.014-3.668, P 0.045) and PPCs (unadjusted: OR 2.616, 95% CI 1.442-4.748, P 0.001; adjusted: OR 2.352, 95% CI 1.225-4.516, P 0.010) than patients with normal or mild anemia. However, the transfusion > 2 units rate was not significantly different between the two cohorts (unadjusted: OR 0.967, 95% CI 0.737-1.270, P 0.811; adjusted: OR 0.941, 95% CI 0.693-1.278, P 0.697). The in-hospital mortality, delirium rate, gastrointestinal complication, ICU admission, and DVT were similar. However, the in-hospital mortality was much higher (3.6%, 21/591 vs 1.6%, 5/321) in the moderate to severe anemia cohort. Furthermore, after propensity score-matched analysis, MACCE and PPCs were also significantly increased in the moderate to severe anemia cohort (OR 2.196 & 3.171, 95% CI 1.0794.470 & 1.563-6.436, P 0.027 & 0.001), which were in accordance with the unadjusted and adjusted results in the unmatched cohorts. CONCLUSIONS: Moderate to severe preoperative anemia (< 11 g/dl) is associated with increased postoperative major adverse cardiac and cerebral events and pulmonary complications. Additionally, in-hospital mortality was not significant but was higher in the preoperative moderate to severe anemia cohort. Preoperative assessment and correction of hemoglobin level to above 11 g/dl might reduce MACCE, PPCs, and in-hospital mortality in hip fracture patients over 80 years old.

Electron Transfer Mechanism at the Interface of Multi-Heme Cytochromes and Metal Oxide.

Electroactive microbial cells have evolved unique extracellular electron transfer to conduct the reactions via redox outer-membrane (OM) proteins. However, the electron transfer mechanism at the interface of OM proteins and nanomaterial remains unclear. In this study, the mechanism for the electron transfer at biological/inorganic interface is investigated by integrating molecular modeling with electrochemical and spectroscopic measurements. For this purpose, a model system composed of OmcA, a typical OM protein, and the hexagonal tungsten trioxide (h-WO3 ) with good biocompatibility is selected. The interfacial electron transfer is dependent mainly on the special molecular configuration of OmcA and the microenvironment of the solvent exposed active center. Also, the apparent electron transfer rate can be tuned by site-directed mutagenesis at the axial ligand of the active center. Furthermore, the equilibrium state of the OmcA/h-WO3 systems suggests that their attachment is attributed to the limited number of residues. The electrochemical analysis of OmcA and its variants reveals that the wild type exhibits the fastest electron transfer rate, and the transient absorption spectroscopy further shows that the axial histidine plays an important role in the interfacial electron transfer process. This study provides a useful approach to promote the site-directed mutagenesis and nanomaterial design for bioelectrocatalytic applications.

Rapid Detection of the Monkeypox Virus Genome and Antigen Proteins Based on Surface-Enhanced Raman Spectroscopy.

The conventional detection methods cannot satisfy the need for early and rapid detection of monkeypox virus (MPXV) infection. This is due to complicated pretreatment, time consumption, and complex operation of the diagnostic tests. Based on surface-enhanced Raman spectroscopy (SERS), this study attempted to capture the characteristic fingerprints of the MPXV genome and multiple antigenic proteins without the need to design specific probes. The minimum detection limit of this method is 100 copies/mL, with good reproducibility and signal-to-noise ratio. Therefore, the relationship between characteristic peak intensity and the protein and nucleic acid concentration can be used to construct a concentration-dependent spectral line with a good linear relationship. Additionally, principal component analysis (PCA) could identify the SERS spectra of four different MPXV proteins in serum. Therefore, this rapid detection method in the current outbreak of monkeypox control and the future response to possible new outbreaks has broad application prospects.

Compact Luminol Chemiluminophores for In Vivo Detection and Imaging of ß-Sheet Protein Aggregates.

Protein aggregation has been found in a wide range of neurodegenerative protein-misfolding diseases. The demand for in vivo technologies to identify protein aggregation is at the leading edge for the pathogenic study, diagnostic development, and therapeutic intervention of these devastating disorders. Herein, we report a series of luminol analogues to construct a facile chemiluminescence (CL)-based approach for in vivo detection and imaging of ß-sheet protein aggregates. The synthesized compounds exhibited a distinct chemiluminescent response with long emission wavelengths toward reactive oxygen species under physiological conditions and displayed signal amplification in the presence of ß-sheet protein aggregates, including α-synuclein, ß-amyloid, and tau. Among them, CyLumi-3 was further evaluated as a chemiluminescent probe in preclinical models. By intravenous administration into the model mice via the tail vein, in vivo CL imaging noninvasively detected the specific CL of the probe targeting the α-synuclein aggregates in the brains of living mice. Based on its structural characteristics, CyLumi-3 can readily interact with α-synuclein aggregates with significantly enhanced fluorescence and can identify α-synuclein aggregates in vivo via distinctive CL amplification, which could pave the way for a more comprehensive understanding of protein aggregation in preclinical studies and would provide new hints for developing small-molecule chemiluminophores for protein aggregates.

A versatile technique for indiscriminate detection of unlabeled biomolecules via double-enhanced Raman scattering.

Surface-enhanced Raman scattering is a rapid, highly sensitive and non-destructive technique, whereas, it was still limited to designing different types of enhancing substrates or using probe molecules to only identify single biomolecules. Especially, some special biomolecules have weak Raman signals in solid state, so it is a huge challenge to obtain their enhanced Raman signals in liquid. To solve the problem, a double-enhanced Raman scattering (DERS) detection platform was developed in this study based on silver nanoparticles that were prepared by using an appropriate amount of sodium borohydride and guided by calcium ions to form good "hot spots". This enabled one to successfully obtain fingerprints of various types of biomolecules under the identical experimental conditions. The addition of sodium borohydride as reducing agent could protect silver nanoparticles from oxidation, and biomolecules were adsorbed on the exposed silver surface and demonstrated their initially enhanced Raman signals. Furthermore, the "hot spots" formed by silver nanoparticles without silver oxide coating could further enhance the Raman signal of biomolecules, making the enhancement factor up to 10 [8]. To sum up, the possibility of fast identification of different species of biomolecules via DERS has wide application prospects in the fields of biomarker detection and medical diagnosis.

Experiencing an art education program through immersive virtual reality or iPad: Examining the mediating effects of sense of presence and extraneous cognitive load on enjoyment, attention, and retention.

Sense of presence and extraneous cognitive load (ECL) are the two psychological effects widely employed to explain the cognitive outcomes caused by high-immersive media (e. g., virtual reality). This study identified the concepts of both technological affordance (i.e., immersion) and the psychological effects of VR learning. It investigated the mechanism by which immersion leads to better or worse communication in the context of art education. We operationalized the concept of immersion into two levels: a high-immersive VR system (HTC VIVE Cosmos) and a low-immersive tablet system (iPad). Through a between-subject experiment, we found that higher immersion not only led to a greater sense of presence but also lowered extraneous cognitive load. Enjoyment and attention increased as a sense of presence rose but were not necessarily predicted by extraneous cognitive load. This study found that sense of presence was a more robust explanatory variable than ECL and that cognitive load could be lower in a high-immersive environment with content specifically designed for VR.

Occurrence, source tracking and removal of antibiotics in recirculating aquaculture systems (RAS) in southern China.

The recirculating aquaculture system (RAS) has attracted much attention in China as a way to rapidly transform and upgrade aquaculture ponds to realize zero-emissions of pollutants in aquaculture tail water. Tail water purification ponds (TWPPs) play an important role in the treatment of aquaculture wastewater. However, until now, there have been few reports on the occurrence of antibiotics in RAS and the removal of antibiotics from the TWPPs of RAS. Therefore, this study focused on the occurrence of antibiotics in a typical ecological RAS. For comparison, the same measurements were simultaneously carried out in nearby open aquaculture ponds and rivers. The pollution level and spatial distribution of antibiotics in the RAS and the removal of antibiotics in the TWPPs were explored. The results showed that (1) eleven and twelve antibiotics were detected in water and sediment samples in the RAS, respectively, but no antibiotics were found in fish muscles and feed. Erythromycin (ERY), lincomycin (LIN), and ciprofloxacin (CFX) were the three main types of antibiotics found in water and sediment samples. (2) The TWPPs of the RAS can effectively remove antibiotics in aquaculture water. The antibiotic concentration in recirculating aquaculture ponds of the RAS was as high as 180 ng/L. After treatments in the TWPPs, the antibiotic concentration of aquaculture water decreased to 81.6 ng/L (3) The antibiotic concentrations in recirculating aquaculture ponds (25.2-180 ng/L) were lower than those in the nearby open aquaculture ponds (126-267.3 ng/L), and the concentration of antibiotics in the sediments of recirculating aquaculture ponds was up to 22.9 ng/g, while that in TWPPs was as high as 56.1 ng/g. In conclusion, the antibiotic residues in the RAS were low after antibiotics were banned in feed in China, and the removal of antibiotics in the TWPPs was more pronounced. Furthermore, cross-contamination was found between the RAS, surrounding open aquaculture ponds and the river, and the water supply of the RAS was likely to be the main contributor of antibiotics in the aquaculture environments. This study can help the government formulate discharge standards for antibiotics in aquaculture and also provide a reference for the transformation and upgrading of aquaculture ponds to achieve a zero-emission aquaculture mode.

Comparison of Bedside and Video-Based Capillary Refill Time Assessment in Children.

OBJECTIVES: Capillary refill time (CRT) to assess peripheral perfusion in children with suspected shock may be subject to poor reproducibility. Our objectives were to compare video-based and bedside CRT assessment using a standardized protocol and evaluate interrater and intrarater consistency of video-based CRT (VB-CRT) assessment. We hypothesized that measurement errors associated with raters would be low for both standardized bedside CRT and VB-CRT as well as VB-CRT across raters. METHODS: Ninety-nine children (aged 1-12 y) had 5 consecutive bedside CRT assessments by an experienced critical care clinician following a standardized protocol. Each CRT assessment was video recorded on a black background. Thirty video clips (10 with bedside CRT < 1 s, 10 with CRT 1-2 s, and 10 with CRT > 2 s) were randomly selected and presented to 10 clinicians twice in randomized order. They were instructed to push a button when they visualized release of compression and completion of a capillary refill. The correlation and absolute difference between bedside and VB-CRT were assessed. Consistency across raters and within each rater was analyzed using the intraclass correlation coefficient (ICC). A Generalizability study was performed to evaluate sources of variation. RESULTS: We found moderate agreement between bedside and VB-CRT observations (r = 0.65; P < 0.001). The VB-CRT values were shorter by 0.17 s (95% confidence interval, 0.09-0.25; P < 0.001) on average compared with bedside CRT. There was moderate agreement in VB-CRT across raters (ICC = 0.61). Consistency of repeated VB-CRT within each rater was moderate (ICC = 0.71). Generalizability study revealed the source of largest variance was from individual patient video clips (57%), followed by interaction of the VB-CRT reviewer and patient video clip (10.7%). CONCLUSIONS: Bedside and VB-CRT observations showed moderate consistency. Using video-based assessment, moderate consistency was also observed across raters and within each rater. Further investigation to standardize and automate CRT measurement is warranted.

The "time-response" effect of Wenyang Pingchuan Formula on miR-19a in asthmatic mice experiment.

BACKGROUND: Wenyang Pingchuan Formula (WPCF) is an empirical formula for the treatment of acute childhood asthma. However, the "time-effect" relationship of this prescription is not clear. This paper explores the relationship between Janus activated kinase signal transducer and activator of transcriptions (JAK/STAT), nuclear factor-κB (NF-κB), and microRNA (miR-19a), and also preliminarily determines the best time-effect relationship of WPCF in reducing the airway inflammation in asthmatic mice. METHOD: 80 BALB/c mice were randomly divided into four groups: control (CON) group, model (MDL) group, dexamethasone (DEX) group, and WPCF group. MDL group was established through intraperitoneal injection of 10% ovalbumin (OVA) and Al(OH)3 solution and the inhalation of aerosolized 5% OVA solution. Enzyme-linked immunosorbent assay (ELISA), real-time PCR and Western blot were conducted to determine the levels of interleukin (IL)-4, IL-13, interferon-γ (IFN-γ) in bronchoalveolar lavage fluid (BALF), contents of miR-19a mRNA and STAT6, phosphorylated signal transducers and activators of transcription 6 (p-STAT6), p65, phosphorylated p65 (p-p65), suppressors of cytokine signaling 1 (SOCS1), and tumor necrosis factor α-induced protein-3 (Tnfaip3) proteins after 7 and 28 days of intervention respectively. RESULTS: Significant down-regulation of IL-4 and IL-13 expression (P<0.05) and up-regulation of IFN-γ expression (P<0.05) in BALF have been observed for WPCF group compared with the MDL group. The significant down-regulation of miR-19a mRNA and STAT6, p-STAT6, p65, p-p65 proteins (P<0.05) and up-regulation of SOCS1 and Tnfaip3 proteins (P<0.05) in BALF was also observed for WPCF group compared to the MDL group. During the experiment, the weight of the mice in DEX group significantly decreased (P<0.05) compared with the other groups. CONCLUSIONS: WPCF could restore Th1/Th2 balance. The longer the intervention time, the more effective the treatment. The down-regulation of miR-19a mRNA by activating JAK/STAT and NF-κB signal pathways may be a possible mechanism by which WPCF alleviates airway inflammation.

Alterations in the nasopharyngeal microbiota associated with active and latent tuberculosis.

OBJECTIVE: To investigate the characteristic of nasopharyngeal microbiota at different states of Mycobacterium tuberculosis (MTB) infection. METHODS: Participants were recruited from a chest hospital and were divided into three groups: the active tuberculosis (ATB) group, the latent TB infection (LTBI) group and the healthy control (HC) group. Nasopharyngeal microbiota was analyzed by 16S rRNA sequencing and clinical laboratory test results of ATB patients were collected and statistically analyzed. RESULTS: Eleven ATB patients, 19 LTBI individuals and 18 healthy controls were included. Compared with LTBI group, Proteobacteria (P=0.04) and Gammaproteobacteria (P=0.01) increased in the ATB group. Compared with HC group, Pseudomonadales (P=0.03) and Moraxellaceae (P=0.04) increased, while Bacillales (P=0.04) and Lachnospiraceae (P=0.03) decreased in ATB group. Furthermore, Staphylococcus and Corynebacterium accounted for 70-80% in HC and LTBI groups. While in ATB group, they were less than 40%. Moreover, relative abundance of Corynebacterium, Corynebacteriaceae and Mycobacteriales was positively correlated with serum adenosine deaminase while negatively correlated with albumin, hemoglobin, and platelet counts in ATB patients. CONCLUSIONS: The composition of nasopharyngeal microbiota changed significantly after MTB infection. The correlations between Corynebacterium and nutritional status (hemoglobin and albumin), immune-related molecules (adenosine deaminase) and inflammation-related indicators (platelet) in ATB patients deserve further exploration.

Rapid detection of viruses: Based on silver nanoparticles modified with bromine ions and acetonitrile.

Nearly 200 million people have been diagnosed with COVID-19 since the outbreak in 2019, and this disease has claimed more than 5 million lives worldwide. Currently, researchers are focusing on vaccine development and the search for an effective strategy to control the infection source. This work designed a detection platform based on Surface-Enhanced Raman Spectroscopy (SERS) by introducing acetonitrile and calcium ions into the silver nanoparticle reinforced substrate system to realize the rapid detection of novel coronavirus. Acetonitrile may amplify the calcium-induced hot spots of silver nanoparticles and significantly enhanced the stability of silver nanoparticles. It also elicited highly sensitive SERS signals of the virus. This approach allowed us to capture the characteristic SERS signals of SARS-CoV-2, Human Adenovirus 3, and H1N1 influenza virus molecules at a concentration of 100 copies/test (PFU/test) with upstanding reproduction and signal-to-noise ratio. Machine learning recognition technology was employed to qualitatively distinguish the three virus molecules with 1000 groups of spectra of each virus. Acetonitrile is a potent internal marker in regulating the signal intensity of virus molecules in saliva and serum. Thus, we used the SERS peak intensity to quantify the virus content in saliva and serum. The results demonstrated a satisfactory linear relationship between peak intensity and protein concentration. Collectively, this rapid detection method has a broad application prospect in clinical diagnosis of viruses, management of emergent viral infectious diseases, and exploration of the interaction between viruses and host cells.

A novel enhanced substrate for label-free detection of SARS-CoV-2 based on surface-enhanced Raman scattering.

Accurate and sensitive detection of SARS-CoV-2 is an effective strategy for preventing the COVID-19 pandemic in the current absence of specific drug therapy. This study presents a novel enhanced substrate for label-free detection of respiratory viruses using surface-enhanced Raman Scattering. Sodium borohydride reduces silver ions to clustered silver nanoparticles to eliminate the disorganized peak signal of the traditional citrate reducing agent. Meanwhile, the study obtained the fingerprints and concentration-dependent curves of many respiratory viruses, including SARS-CoV-2, human adenovirus type 7, and H1N1 virus, with good linear relationships. The three viruses were also identified in serum and saliva within two minutes, combined with linear discriminant diagnostic analysis. Therefore, establishing this enhanced substrate is greatly valuable for the global response to the COVID-19 pandemic.

TransCUNet: UNet cross fused transformer for medical image segmentation.

Accurate segmentation of medical images is crucial for clinical diagnosis and evaluation. However, medical images have complex shapes, the structures of different objects are very different, and most medical datasets are small in scale, making it difficult to train effectively. These problems increase the difficulty of automatic segmentation. To further improve the segmentation performance of the model, we propose a multi-branch network model, called TransCUNet, for segmenting medical images of different modalities. The model contains three structures: cross residual fusion block (CRFB), pyramidal pooling module (PPM) and gated axial-attention, which achieve effective extraction of high-level and low-level features of images, while showing high robustness to different size segmentation objects and different scale datasets. In our experiments, we use four datasets to train, validate and test the models. The experimental results show that TransCUNet has better segmentation performance compared to the current mainstream segmentation methods, and the model has a smaller size and number of parameters, which has great potential for clinical applications.

Transformer with progressive sampling for medical cellular image segmentation.

The convolutional neural network, as the backbone network for medical image segmentation, has shown good performance in the past years. However, its drawbacks cannot be ignored, namely, convolutional neural networks focus on local regions and are difficult to model global contextual information. For this reason, transformer, which is used for text processing, was introduced into the field of medical segmentation, and thanks to its expertise in modelling global relationships, the accuracy of medical segmentation was further improved. However, the transformer-based network structure requires a certain training set size to achieve satisfactory segmentation results, and most medical segmentation datasets are small in size. Therefore, in this paper we introduce a gated position-sensitive axial attention mechanism in the self-attention module, so that the transformer-based network structure can also be adapted to the case of small datasets. The common operation of the visual transformer introduced to visual processing when dealing with segmentation tasks is to divide the input image into equal patches of the same size and then perform visual processing on each patch, but this simple division may lead to the destruction of the structure of the original image, and there may be large unimportant regions in the divided grid, causing attention to stay on the uninteresting regions, affecting the segmentation performance. Therefore, in this paper, we add iterative sampling to update the sampling positions, so that the attention stays on the region to be segmented, reducing the interference of irrelevant regions and further improving the segmentation performance. In addition, we introduce the strip convolution module (SCM) and pyramid pooling module (PPM) to capture the global contextual information. The proposed network is evaluated on several datasets and shows some improvement in segmentation accuracy compared to networks of recent years.

Pingchuan formula improves allergic asthma in mice through inhibiting nuclear factor-kappa B / mitogen-activated protein kinase signaling pathway.

OBJECTIVE: To examine the role and decipher the mechanism of Pingchuan formula (PCF) in treating allergic asthma. METHODS: The mice were treated with saline, dexamethasone (DXM) and PCF for 1 week after the asthma model was established and their respiratory function including respiratory resistance (RI), pulmonary dynamic compliance (Cdyn) and maximum voluntary ventilation (MVV) were measured. In addition, cellular changes in bronchoalveolar lavage fluid (BALF) and pathological changes in lung biopsy as well as the expression level of -smooth muscle actin (α-SMA), transforming growth factor-beta1 (TGF-α1) in BALF and interleukin-5 (IL-5), interleukin-13 (IL-13), tumor necrosis factor-α (TNF-α), interferon-γ (IFN-γ), nuclear factor-kappa B-p65 (NF-κBp65), inhibitor-α of nuclear transcription factor κB (IκBα), p38 mitogen-activated protein kinase (p38MAPK), c-jun n-terminal kinase (JNK) and its phosphorylated proteins in lung tissue were also examined and compared among different groups. RESULTS: Our data suggested that the respiratory functions were significantly improved and the pathological changes ameliorated in the DXM group and the PCF group compared to the model group. Both DXM and PCF effectively decreased the number of eosinophils, lymphocytes, and neutrophils in BAL as well as the secretion of α-SMA and TGF-α1, IL-5, IL-13, while increased the expression of TNF-α and IFN-γ. Furthermore, our study indicated that the NF-κBp65, IκBα, p38MAPK and JNK pathways were inhibited under the treatment of PCF. CONCLUSION: Our data indicated that PCF can attenuate the inflammatory response in asthma through inhibiting the NF-κB/MAPK signaling pathway. This study not only supported the use of PCF in allergic asthma in clinic but also shed light upon afurther understanding of thediseasepathogenesis.

Pingchuan formula attenuates airway mucus hypersecretion via regulation of the PNEC-GABA-IL13-Muc5ac axis in asthmatic mice.

BACKGROUND/AIMS: Asthma is a common chronic respiratory disease. It has been reported that Pingchuan formula (PCF) can control asthma attacks by reducing airway inflammation, muscle spasm and mucus secretion. However, PCF's mechanism for reducing airway mucus hypersecretion remains unclear. This study aimed to investigate the effect of PCF on airway mucus secretion in asthmatic mice and to explore changes in the PNEC-GABA-IL13-Muc5ac axis. METHODS: Male Babl/c mice were used to establish the asthma model via sensitisation with OVA. Mice were randomly divided into Normal, OVA, DEX, and PCF groups. After treatment, lung histopathology was observed with H&E and PAS staining. BALF levels of IL-5 and IL-13 were detected using ELISA. The levels of mRNA and protein expression for GAD1, GABAARß1, GABAARα1 and Muc5ac in the lung tissue were measured by RT-PCR and Western blot assays. PNECs were observed with AgNOR staining. RESULTS: PCF treatment effectively reduced goblet cell (P < 0.01) and PNEC (P < 0.05) proliferation, lung tissue inflammation and airway mucus hypersecretion. In addition, PCF also markedly downregulated mRNA and protein expression of GAD1, GABAARß1, GABAARα1 and Muc5ac (P < 0.05, compared with OVA), thus inhibiting the GABA-IL-13 pathway in the lung tissue of asthmatic mice. CONCLUSION: These findings suggest that PCF controls asthma attacks by reducing airway inflammation and mucus hypersecretion via the PNEC-GABA-IL13-Muc5ac axis.