Serum analysis based on SERS combined with 2D convolutional neural network and Gramian angular field for breast cancer screening.

Breast cancer is a significant cause of death among women worldwide. It is crucial to quickly and accurately diagnose breast cancer in order to reduce mortality rates. While traditional diagnostic techniques for medical imaging and pathology samples have been commonly used in breast cancer screening, they still have certain limitations. Surface-enhanced Raman spectroscopy (SERS) is a fast, highly sensitive and user-friendly method that is often combined with deep learning techniques like convolutional neural networks. This combination helps identify unique molecular spectral features, also known as "fingerprint", in biological samples such as serum. Ultimately, this approach is able to accurately screen for cancer. The Gramian angular field (GAF) algorithm can convert one-dimensional (1D) time series into two-dimensional (2D) images. These images can be used for data visualization, pattern recognition and machine learning tasks. In this study, 640 serum SERS from breast cancer patients and healthy volunteers were converted into 2D spectral images by Gramian angular field (GAF) technique. These images were then used to train and test a two-dimensional convolutional neural network-GAF (2D-CNN-GAF) model for breast cancer classification. We compared the performance of the 2D-CNN-GAF model with other methods, including one-dimensional convolutional neural network (1D-CNN), support vector machine (SVM), K-nearest neighbor (KNN) and principal component analysis-linear discriminant analysis (PCA-LDA), using various evaluation metrics such as accuracy, precision, sensitivity, F1-score, receiver operating characteristic (ROC) curve and area under curve (AUC) value. The results showed that the 2D-CNN model outperformed the traditional models, achieving an AUC value of 0.9884, an accuracy of 98.13%, sensitivity of 98.65% and specificity of 97.67% for breast cancer classification. In this study, we used conventional nano-silver sol as the SERS-enhanced substrate and a portable laser Raman spectrometer to obtain the serum SERS data. The 2D-CNN-GAF model demonstrated accurate and automatic classification of breast cancer patients and healthy volunteers. The method does not require augmentation and preprocessing of spectral data, simplifying the processing steps of spectral data. This method has great potential for accurate breast cancer screening and also provides a useful reference in more types of cancer classification and automatic screening.

PMN Apoptosis Induced by SNHG11 through the Inhibition of Endotoxin-induced Acute Lung Injury NF-κB Pathway.

This study aimed to investigate the impacts of small nucleolar RNA host gene 11 (SNHG11) on nuclear factor kappa-B (NF-κB) pathway polymorphonuclear neutrophils (PMN) apoptosis in rats with endotoxin-induced acute lung injury (ALI). Forty rats were the experimental subjects. They were randomly grouped as a control group (Group C), an endotoxin group (Group E), an inhibitor group (Group I), and an activator group (Group A), with 10 rats in each group. The endotoxin-educed ALI rat model was built. Arterial Blood Gas Test (ABGT) was performed, and the Wet/Dry (W/D) ratio of lung weight was determined. The pathological variations in rat pulmonary tissues were scrutinized and scored. PMN in peripheral blood was isolated; its apoptosis was assessed, and its total NF-κB p65 and p-NF-κB p65 expressions were assessed. The expression of SNHG11 mRNA in pulmonary tissues was assessed. Results: Compared to Group C, the W/D ratios and pathological scores of Group E, Group I, and Group A boosted notably (P <0.05), while their ABGT indicators and PMN apoptosis rates dropped (P <0.05). Compared to Group E and Group I, the W/D ratio and pathological score of Group A dropped notably (P <0.05), while its ABGT indicators and PMN apoptosis rate boosted (P <0.05). Compared to Group C, the p-NF-κB p65 and SNHG11 expressions boosted in Group E, Group I, and Group A (P <0.05); compared to Group E and Group I, the p-NF-κB p65 and SNHG11 expressions in Group A dropped (P <0.05). SNHG11 could relieve endotoxin-induced ALI, which might be associated with the acceleration of PMN apoptosis and the inhibition of the NF-κB pathway.

PMN Apoptosis Induced by SNHG11 through the Inhibition of Endotoxin-induced Acute Lung Injury NF-κB Pathway.

To investigate the impacts of small nucleolar RNA host gene 11 (SNHG11) on nuclear factor kappa-B (NF-κB) pathway and polymorphonuclear granulocyte (PMN) apoptosis in rats with endotoxin-induced acute lung injury (ALI). Forty rats were the experimental subjects. They were randomly grouped as a control group (Group C), an endotoxin group (Group E), an inhibitor group (Group I), and an activator group (Group A), with 10 rats in each group. The endotoxin-educed ALI rat model was built. Arterial Blood Gas Test (ABGT) was performed, and the Wet/Dry (W/D) ratio of lung weight was determined. The pathological variations in rat pulmonary tissues were scrutinized and scored. PMN in peripheral blood was isolated; its apoptosis was assessed, and its total NF-κB p65 and p-NF-κB p65 expressions were assessed. The expression of SNHG11 mRNA in pulmonary tissues was assessed. Results: Compared to Group C, the W/D ratios and pathological scores of Group E, Group I, and Group A boosted notably (P <0.05), while their ABGT indicators and PMN apoptosis rates dropped (P <0.05). Compared to Group E and Group I, the W/D ratio and pathological score of Group A dropped notably (P <0.05), while its ABGT indicators and PMN apoptosis rate boosted (P <0.05). Compared to Group C, the p-NF-κB p65 and SNHG11 expressions were boosted in Group E, Group I, and Group A (P <0.05); compared to Group E and Group I, the p-NF-κB p65 and SNHG11 expressions in Group A dropped (P <0.05). SNHG11 could relieve endotoxin-induced ALI, which might be associated with the acceleration of PMN apoptosis and the inhibition of the NF-κB pathway.

Antibacterial Performance of a Gold-Loaded g-C3 N4 Nanocomposite System in Visible Light-Dark Dual Mode.

Semiconductor photocatalysis technology, which can kill pathogenic microorganisms in a green and broad-spectrum way, is a new research field with great application potential. Due to the dependence on light, semiconductor materials have the problems of low utilization rate of sunlight and inactivation under dark conditions. A simple Au-loaded g-C3 N4 (Au/g-C3 N4 ) nanocomposites was studied. Under dark conditions, the antibacterial efficiency of 1.2 % Au/g-C3 N4 reached 99.1 % relative to 105  CFU (Colony-FormingUnits)/mL E. coli. Under light conditions, the antibacterial efficiency of 0.9 % Au/g-C3 N4 reached 94.1 % relative to 107  CFU/mL E. coli. The influence of contact time, Au loading and bacterial concentration on its antibacterial performance under dark conditions was discussed in detail. Through photoelectrochemistry, SEM, TEM and reactive oxygen species (ROS) detection the microscopic charge behaviour was revealed in the system, and a light-dark dual-mode antibacterial mechanism was proposed.

[Factors affecting selection of tracheostomy after mandibular tumor operation: a retrospective study].

PURPOSE: To assess the factors affecting selection of tracheostomy after mandibulectomy. METHODS: The clinical data of 165 patients who were divided into intubated group and tracheostomy group were collected from January 2008 to December 2012 in Shanghai Ninth People's Hospital, including demographics, smoke habits, alcohol consumption, pulmonary disease, American Society of Anesthesiologists (ASA) physical status classification, history of jaw operation, length of surgery, preoperative radiotherapy, free flap reconstruction, resection over the anterior midline, and radical neck dissection. The postoperative outcomes, such as the duration of keeping tube, the length of ICU stay, the length of hospital stay, and the number of complications and death were collected. Statistical analysis was performed using SAS version 9.2 software package. RESULTS: There were 81 patients in intubated group and 84 patients in tracheostomy group. Three factors that might be associated with selection of tracheostomy after mandibulectomy were preoperative radiotherapy (OR: 3.51, 95% CI: 1.34-9.20), free flap reconstruction (OR: 3.99, 95%CI: 1.84-8.65), and resection over the anterior midline of the jaw (OR: 20.08, 95%CI: 6.52-160.35)(P<0.05). CONCLUSIONS: Tracheostomy was suitable for patients who received preoperative radiotherapy, free flap reconstruction and resection over the anterior midline after mandibular tumor resection were factors in considering of tracheotomy.

Post-Exposure Exercise Fails to Ameliorate Memory Impairment Induced by Propofol and Ketamine in Developing Rats.

BACKGROUND: This aim of this study was to determine the effects of ketamine-propofol combination on learning and memory, as well as exercise, on anesthetic neurotoxicity. MATERIAL/METHODS: A ketamine-propofol combination was administered once (group SKP, Single Ketamine Propofol) on P7 (postnatal day 7) or in 3 treatments on P6, P8, and P10 (group MKP, Multiple Ketamine Propofol). Rat pups in group C (Control) received equivalent volumes of normal saline in 3 injections on P6, P8, and P10. Rats designated MKPR (Multiple Ketamine Propofol and running) and CR (Control and running) began running exercise on P21 on wheels. Learning and memory was assessed by Morris water maze and fear conditioning tests. Hippocampal neurogenesis of rats was detected by BrdU immunofluorescence. RESULTS: MKP rats had longer latency to platform than group C during training in the Morris water maze; SKP rats stayed in the target quadrant longer than MKP rats during testing (P<0.05). Rats in running groups had shorter latency than non-running rats, but running had no interaction with anesthesia exposure. CONCLUSIONS: Repeat ketamine-propofol combination doses increase risk of memory impairment in developing rats. Running has no impact on anesthetic neurotoxicity.