Identification of SMC2 and SMC4 as prognostic markers in breast cancer through bioinformatics analysis.

BACKGROUND: Breast cancer (BRCA) is one of the most common malignant tumors. The structural maintenance of chromosome (SMC) gene family has been shown to play an important role in human cancers. However, the role of SMC families in BRCA is unclear. This study aimed to explore the role and potential clinical value of whole SMCs in BRCA. METHODS: TIMER and UALCAN database were used to analysis the expression level. Genetic variations were analyzed by cBioPortal. Promoter methylation and protein level were analyzed by UCLCAN. GO and KEGG were analyzed by Metascape database. Prognostic value of SMCs was analyzed by Kaplan-Meier and multivariate cox regression analyses. Immune infiltration analysis was conducted by CIBERSORT. Immunotherapy outcome prediction was conducted by Cancer Immunome Atlas. Targeted drug therapy outcome prediction was taken by GDSC and R language. The cell viability was tested by CCK8 and migration was tested by wound healing assay. Xenograft model was used to investigate the in vivo role of SMC2. RESULTS: Expression levels of SMC1A, SMC2, SMC4, SMC5 and SMC6 mRNA were increased in BRCA tissues, and negatively correlated with promoter methylation. Overexpression of SMC2 and SMC4 was negatively correlated with survival. Function of SMCs family regulatory genes was mainly related to ATPase activity. Expression of most SMCs was negatively correlated with immunotherapy and drug therapy outcomes. Interfere SMC2 and SMC4 decreased IC50 values of 5-fluorouracil and oxaliplatin and inhibited the migration of MCF7 cells. Tumor growth and weights were significantly decreased in si-SMC2 groups. CONCLUSIONS: Combined bioinformatics and clinical specimen analysis verified SMC2 and SMC4 as independent prognostic factors in BRCA, suggesting their significance for the diagnosis and treatment of BRCA.

Characteristics and factors influencing hypothalamic pituitary dysfunction in patients with craniopharyngioma.

Background: Craniopharyngioma is a benign tumor originating from the sellar region. Damages in this area caused by the tumor itself, surgery, or radiotherapy may result in severe hypothalamic-pituitary dysfunction (HPD) and eventually lead to a significant impairment in the long-term quality of life of patients. This study aimed to investigate the characteristics of HPD in patients with adamantinomatous craniopharyngioma (ACP) or papillary craniopharyngioma (PCP) and to identify the factors affecting HPD after surgery. Methods: In this single-center retrospective study, a total of 742 patients with craniopharyngioma were included. The neuroendocrine function of these patients before and after surgery was investigated. The differences in hypothalamic-pituitary function between the ACP and PCP groups were compared. The factors influencing the aggravation of HPD after surgery were identified. Results: The median follow-up after surgery was 15 months. Before surgery, the proportion of patients with diabetes insipidus (DI) and hyperprolactinemia in the PCP group was significantly higher than that in the ACP group (P<0.01), and the proportion of patients with adrenocortical hypofunction in the PCP group was significantly lower than that in the ACP group (P=0.03). Most cases of ACP originated in the sellar region, while most cases of PCP originated in the suprasellar region (P<0.01). More patients experienced adenohypophyseal hypofunction, DI, and hypothalamic obesity at postoperative follow-up than at onset in both the ACP and PCP groups (both P<0.01), with a higher increase observed in the ACP group (P<0.01). Older age at CP onset, tumor recurrence or progression, and ACP type were risk factors for postoperative aggravation of HPD in CP patients. Conclusion: Surgical treatment significantly aggravated HPD in both the ACP and PCP groups, but the specific characteristics and risk factors leading to aggravation were different between the two groups.

Automatic Pavement Crack Detection Transformer Based on Convolutional and Sequential Feature Fusion.

To solve the problem of low accuracy of pavement crack detection caused by natural environment interference, this paper designed a lightweight detection framework named PCDETR (Pavement Crack DEtection TRansformer) network, based on the fusion of the convolution features with the sequence features and proposed an efficient pavement crack detection method. Firstly, the scalable Swin-Transformer network and the residual network are used as two parallel channels of the backbone network to extract the long-sequence global features and the underlying visual local features of the pavement cracks, respectively, which are concatenated and fused to enrich the extracted feature information. Then, the encoder and decoder of the transformer detection framework are optimized; the location and category information of the pavement cracks can be obtained directly using the set prediction, which provided a low-code method to reduce the implementation complexity. The research result shows that the highest AP (Average Precision) of this method reaches 45.8% on the COCO dataset, which is significantly higher than that of DETR and its variants model Conditional DETR where the AP values are 36.9% and 42.8%, respectively. On the self-collected pavement crack dataset, the AP of the proposed method reaches 45.6%, which is 3.8% higher than that of Mask R-CNN (Region-based Convolution Neural Network) and 8.8% higher than that of Faster R-CNN. Therefore, this method is an efficient pavement crack detection algorithm.

Benefits and risks evaluation of recombinant human growth hormone replacement therapy in children with GHD after craniopharyngioma surgery.

OBJECTIVES: Childhood-onset craniopharyngiomas (CPs) have a high incidence of growth hormone deficiency (GHD) leading to growth failure and metabolic disorders. We aim to evaluate the benefits and risks of recombinant human growth hormone replacement therapy (GHRT) in postoperative children. METHODS: We retrospectively analyzed auxological and metabolic parameters and adverse events before and after GHRT of 44 children after CP surgery. RESULTS: The median duration of GHRT was 24 months (IQR, 12.5-36). Growth velocity (GV) increased significantly after different treatment duration (TD) compared with baseline (p<0.001) and attained the greatest GV of 12.06 ± 4.16 cm/year at TD6. The mean height standard deviation score (HtSDS) from -3.20 ± 1.16 at baseline improved significantly to -1.51 ± 1.32 at TD36 (p<0.001). There were significant increases in insulin-like growth factor-1 SDS (IGF-1SDS), insulin-like growth factor binding protein 3 SDS (IGFBP-3SDS), bone age (BA), and BA/chronological age (CA) (p<0.05). There was a significant reduction in waist-to-hip ratio (WHR), but there were no significant changes in weight SDS (WtSDS) or BMISDS. Low-density lipoprotein-cholesterol (LDL-C) levels and the incidence of hypercholesterolemia decreased (p<0.05). Three patients (6.8%) had tumor recurrence after 15, 30, and 42 months, respectively. A patient had residual tumor enlargement after 3 months. There was no adverse influence on glucose metabolism or any severe adverse events. CONCLUSIONS: GHRT effectively accelerates GV, increases HtSDS, and improves lipid profiles without unfavorable effects on glucose metabolism. The benefits are clear and the risks of adverse events are low.

Super-Resolution Reconstruction Method of Pavement Crack Images Based on an Improved Generative Adversarial Network.

A super-resolution reconstruction approach based on an improved generative adversarial network is presented to overcome the huge disparities in image quality due to variable equipment and illumination conditions in the image-collecting stage of intelligent pavement detection. The nonlinear network of the generator is first improved, and the Residual Dense Block (RDB) is created to serve as Batch Normalization (BN). The Attention Module is then formed by combining the RDB, Gated Recurrent Unit (GRU), and Conv Layer. Finally, a loss function based on the L1 norm is utilized to replace the original loss function. The experimental findings demonstrate that the self-built pavement crack dataset's Peak Signal-to-Noise Ratio (PSNR) and Structural Similarity (SSIM) of the reconstructed images reach 29.21 dB and 0.854, respectively. The results improved compared to the Set5, Set14, and BSD100 datasets. Additionally, by employing Faster-RCNN and a Fully Convolutional Network (FCN), the effects of image reconstruction on detection and segmentation are confirmed. The findings indicate that the segmentation results' F1 is enhanced by 0.012 to 0.737 and the detection results' confidence is increased by 0.031 to 0.9102 when compared to state-of-the-art methods. It has a significant engineering application value and can successfully increase pavement crack-detecting accuracy.

Evaluate Pavement Skid Resistance Performance Based on Bayesian-LightGBM Using 3D Surface Macrotexture Data.

The lack of skid resistance performance is a crucial factor leading to road traffic accidents. The pavement surface friction is an essential indicator for measuring the skid resistance. The surface texture structure significantly affects the friction between the tire and the pavement, determining the pavement skid resistance. To deeply study the relationship between surface texture structure and pavement skid resistance performance, two types of asphalt mixture specimens, asphalt concrete (AC) and open-graded friction course (OGFC), are prepared for the skid resistance performance test. Firstly, a high-precision 3D smart sensor Gocator 3110 is used to collect the 3D point cloud data of the asphalt mixture surface texture. The British pendulum tester is used to measure the friction. Secondly, ten feature parameters are extracted to describe the 3D macrotexture characteristics. A data set containing 10 features and 200 groups of texture and friction data was also constructed. Meanwhile, the influence of macro-texture features on the skid resistance performance is discussed. Finally, an optimized Bayesian-LightGBM model is trained based on the constructed dataset. Compared with LightGBM, XGBoost, RF, and SVR algorithms, the Bayesian-LightGBM model can evaluate skid resistance more accurately. The R2 value of the proposed model is 92.83%. The research results prove that ten macrotexture features contribute to the evaluation of skid resistance to varying degrees. Furthermore, compared with AC mixture specimen, the texture surface of OGFC mixture specimen has more obvious height characteristics and higher roughness. The skid resistance of OGFC mixture specimens is better than that of AC.

A Driver Gaze Estimation Method Based on Deep Learning.

Car crashes are among the top ten leading causes of death; they could mainly be attributed to distracted drivers. An advanced driver-assistance technique (ADAT) is a procedure that can notify the driver about a dangerous scenario, reduce traffic crashes, and improve road safety. The main contribution of this work involved utilizing the driver's attention to build an efficient ADAT. To obtain this "attention value", the gaze tracking method is proposed. The gaze direction of the driver is critical toward understanding/discerning fatal distractions, pertaining to when it is obligatory to notify the driver about the risks on the road. A real-time gaze tracking system is proposed in this paper for the development of an ADAT that obtains and communicates the gaze information of the driver. The developed ADAT system detects various head poses of the driver and estimates eye gaze directions, which play important roles in assisting the driver and avoiding any unwanted circumstances. The first (and more significant) task in this research work involved the development of a benchmark image dataset consisting of head poses and horizontal and vertical direction gazes of the driver's eyes. To detect the driver's face accurately and efficiently, the You Only Look Once (YOLO-V4) face detector was used by modifying it with the Inception-v3 CNN model for robust feature learning and improved face detection. Finally, transfer learning in the InceptionResNet-v2 CNN model was performed, where the CNN was used as a classification model for head pose detection and eye gaze angle estimation; a regression layer to the InceptionResNet-v2 CNN was added instead of SoftMax and the classification output layer. The proposed model detects and estimates head pose directions and eye directions with higher accuracy. The average accuracy achieved by the head pose detection system was 91%; the model achieved a RMSE of 2.68 for vertical and 3.61 for horizontal eye gaze estimations.

Bacteriological Investigation and Drug Resistance Analysis of Chronic Refractory Wound Secretions.

BACKGROUND: Chronic refractory wounds were common and the treatments were complicated for burn and plastic surgeons. This study was to investigate the bacterial distribution characteristics and bacterial drug resistance of chronic refractory wound secretions. METHODS: The authors retrospectively analyzed 425 patients with chronic refractory wound infection. The results of bacterial culture of wound secretions and drug sensitivity test were retrospectively analyzed. Further, the location area of the wound was divided into 4 regions, and the difference of the bacterial culture results between different regions was analyzed. RESULTS: The wound secretions were cultured into 401 bacterial strains, including 206 gram-positive bacteria strains, accounting for 51.4%, with the highest detection rate of Staphylococcus aureus at 26.2% (105/401). There were 195 gram-negative bacteria strains, accounting for 48.6%, with the highest detection rate of Pseudomonas aeruginosa at 14.2% (57/401). There were 6 fungal strains. The proportion of gram-negative bacteria in the III region of the wound zone was significantly greater than that in the other 3 regions. CONCLUSIONS: The detection rate of gram-positive bacteria and gram-negative bacteria of chronic refractory wound secretions is not much different. However, in the area close to the perineum (III region), gram-negative bacteria is significantly higher, which has a certain reference value for the use of antibiotics in clinical practice. LEVEL OF EVIDENCE: Level 4.

Improved Camshift object tracking algorithm in occluded scenes based on AKAZE and Kalman.

Camshift algorithm tracking is susceptible to interference when a tracking object is occluded or when its hue is similar to the background. An improved Camshift object-tracking algorithm combining AKAZE (Accelerated-KAZE) feature matching and Kalman filtering is proposed. First, the video channel is converted for processing. Second, AKAZE is used to match the object feature points and Kalman filtering is used to predict the next position. Then different scenes are judged by the threshold and the Camshift and Kalman tracking algorithms are used for object tracking, respectively. Finally, the improved Camshift algorithm is used to test the moving object in a variety of situations and compared with the traditional Camshift algorithm and the Kalman filter improved Camshift algorithm. Experimental results show that the improved joint tracking algorithm can continue tracking under full occlusion. The effective frame rate of recognition is increased by about 20%, and the single-frame image processing time is less than 35 ms, which can meet the real-time tracking requirements.

Safety and efficacy of remimazolam compared with propofol in induction of general anesthesia.

BACKGROUND: Remimazolam is a new ultrashort acting benzodiazepine anesthetic which has predictable sedative duration and rapid recovery in gastrointestinal endoscopy. Propofol is a commonly used intravenous anesthetic in clinical work which also has rapid action, short action time and rapid recovery. To date, there have been relatively few articles comparing the two for general anesthesia induction. So, we conducted a randomized trial to evaluate whether remimazolam is superior to propofol during anesthesia induction in terms of efficacy and safety. METHODS: One hundred and eighty nine ASA I or II patients scheduled for elective surgery were divided into four groups: remimazolam 0.2 mg/kg (R1 group), 0.3 mg/kg (R2 group), 0.4 mg/kg (R3 group), and propofol group (P group). All patients were anesthetized with single shots of experimental drugs during induction period. Efficacy was measured by completing the induction of anesthesia without rescue sedation; and safety was defined as no severe adverse events. RESULTS: Success induction rates in remimazolam groups were 89% (R1 group), 94% (R2 group) and 100% (R3 group) while success induction rate in P group was 100%. Hypotension rates during induction were lower in R1 group (13%) and R2 group (24%) compared with P group (44%). Hypotension rate in R3 group (34%) was similar to propofol (44%). Injection site pain in group P was 27% while no pain was observed in remimazolam groups. CONCLUSIONS: Remimazolam is a safe and effective sedative drug during induction with less adverse effects for general anesthesia in ASA I or II patients.

The retention of prion protein in the endoplasmic reticulum prevents N2A cells from proteasome inhibition-induced cytotoxicity.

Prion disease is a fatal neurodegenerative disease that may result from the conversion of normal cellular prion protein (PrPC) to the pathogenic scrapie PrP isoform (PrPSc), however, how proliferation of prion leads to neuronal apoptosis is still not clear. In this study, to explore the role of the endoplasmic reticulum (ER) in prion diseases, we engineered the KDEL ER-retention motif to the C-terminus of PrPC and studied its effect on N2A cell toxicity. The KDEL retention signal led to the accumulation of PrP in the ER, and KDEL signal could effectively deplete PrP from the cell surface and trap PrP in the ER/Cis-Golgi compartment. PrPC molecules were delayed in their transit along the early pathway of the secretory compartment, however, they did not aggregate, and were not resistant to Proteinase K (PK) or become detergent-insoluble. Moreover, we found that the ER was not the site where PrP became detergent-insoluble and acquired PK resistance. In addition, an MTT assay indicated cells expressing PrPC/N2A were sensitive to proteasome inhibition, but not N2A cells expressing PrPKDEL. Our findings suggest that the ER is not a compartment in which wild type PrPC is able to initiate aggregation, protease resistance or other scapie-like properties of PrP.

Generation and characterization of human B lymphocyte stimulator blocking monoclonal antibody.

The cytokine, B lymphocyte stimulator (Blys) is essential for activation and proliferation of B cells and is involved in the pathogenesis of B-cell mediated autoimmune diseases. Based on its essential activity, Blys may be a potential therapeutic target for human autoimmune diseases. In this article, we have described the development of a novel humanized anti-Blys antibody, NMB04, that binds with high affinity and specificity to both soluble and membrane bound Blys. This monoclonal antibody has the potential to block Blys binding to all its three receptors, TACI, BCMA and BR-3. Further in vivo studies revealed that NMB04 possessed more potent inhibitory activity against human Blys as compared to an existing antibody, Belimumab. Therefore, NMB04 may have potential as a therapeutic candidate targeting autoimmune diseases.

[Molecular cloning, in vitro expression and bioactivity of TRAIL (TNFSF10) gene from finless porpoises].

To construct soluble TNF related apoptosis inducing ligand (TRAIL) expression system and investigate the effect of the expression product on tumor cell. It may provide valuable information for research into the immune system of the finless porpoise. The full-length cDNA of TRAIL (designated fTRAIL) was cloned from the total RNA of the finless porpoises blood using RT-PCR techniques and then the extracellular soluble fragments of fTRAIL (designated fsTRAIL) was ligated into pET43.1a. Recombinant soluble fTRAIL (pET43.1a-fsTRAIL) fused with Nus-his tag was efficiently expressed in Escherichia coli BL21 (DE3) and the Nus-His-fsTRAIL protein was purified. The expression of Nus-His-fsTRAIL was verified by Western blotting. In vitro, the effects of the purified Nus-His-fsTRAIL protein on Jurkat and HeLa cells were etected by the 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyl tetrasodium bromide (MTT) assay, TrypanBlue and Flow Cytometry analysis. The expression system pET43.1a-fsTRAIL was constructed and Nus-His-fsTRAIL protein was expressed successfully. In vitro, the Nus-His-fsTRAIL protein was able to inhibit the proliferation and induce apoptosis of Jurkat and HeLa cells in a dose-dependent manner. The Nus-His-fsTRAIL protein has anti-tumor activity against Jurkat and HeLa cells in vitro.

Molecular structure, expression pattern and functional characterisation of APRIL in an aquatic mammal.

The Yangtze finless porpoise (Neophocaena phocaenoides asiaorientalis) is listed on the First Order of Protected Animals in China and was identified as an endangered species by the International Union for Conservation of Nature and Natural Resources (IUCN) in 2011. A proliferation inducing ligand (APRIL), belonging to the tumour necrosis factor (TNF) family, is critical for immune regulation. In this study, we identified a finless porpoise APRIL cDNA (fAPRIL) by RACE (rapid amplification of cDNA ends) strategies, from the Yangtze finless porpoise (fAPRIL). This gene encodes 247 amino acids containing a predicted transmembrane domain and a TNF domain, and phylogenetic analysis of the APRIL sequence indicated that finless porpoises are closely related to Artiodactyla. In vitro, soluble fAPRIL (fsAPRIL) not only promoted the survival/proliferation of the mouse spleen lymphocytes, but also bound specifically to the surface of the B cells. The results of this study contribute to our understanding of the immune mechanisms in the finless porpoise and other aquatic mammals.

Molecular cloning, expression, bioinformatics analysis and bioactivity characterization of TNF13B (BAFF) gene in bat (Vespertilio superans Thomas).

B cell activating factor (BAFF) belonging to the tumor necrosis factor (TNF) family is critical to B cell survival, proliferation, maturation, and immunoglobulin secretion and to T cell activation. In the present study, the full-length cDNA of BAFF (designated bBAFF) from the bat (Vespertilio superans Thomas) was cloned using RT-PCR and rapid amplification of cDNA ends (RACE) techniques. The full-length cDNA of bBAFF consists of 986 bases including an 873 bp open reading frame encoding 290 amino acids. Sequence comparison indicated that the amino acid of bBAFF possessed the TNF signature, a transmembrane domain, a putative furin protease cleavage site and three cysteine residues. The predicted three-dimensional (3D) structure of the bsBAFF monomer, analyzed by comparative protein modeling, revealed that it was very similar to its counterparts. Real-time quantitative PCR (qPCR) analysis indicated that bBAFF mRNA was predominantly expressed in bat lymphoid tissue spleen. The SUMO (Small Ubiquitin-like Modifier)-bsBAFF was efficiently expressed in Escherichia coliBL21 (DE3) and confirmed by SDS-PAGE and Western blotting analysis. Laser scanning confocal microscopy analysis showed that bsBAFF could bind to its receptors on B cells. In vitro, the MTT assays indicated that SUMO-bsBAFF was not only able to promote survival/proliferation of bat lymphocytes but also able to stimulate survival/proliferation of mouse B cells. These findings indicate that bsBAFF plays an important role in the survival/proliferation of B cells and has functional cross-reactivity among mammalians. The present findings may provide valuable information for research into the immune system of the bat.

[Tissue culture effect of different size explants of Lycoris aurea].

OBJECTIVE: To solve the puzzle about the right size of the explant of wild medicinal plant Lycoris aurea for tissue culture. METHODS: Three-size explants: 9.0 x 8.0 mm, 6.0 x 5.0 mm, 3.0 x 2.0 mm of endothecium bulb-scale joined by a strip of stem plate and middle-layer bulb-scale joined by a strip of stem plate were cultured on two kinds of the medium: MS +9 mg/L BA +5 mg/ L NAA +0.7% agar +3% cane sugar and MS +5 mg/L BA +9 mg/L NAA +0.7% agar +3% cane sugar, and the culture effects of the three-size explants for Lycoris aurea were studied. RESULTS AND CONCLUSION: The results showed that the explant size on 6.0 x 5.0 mm of the endothecium bulb-scale cultured on the medium: MS +9 mg/L BA +5 mg/L NAA +0.7% agar +3% cane sugar had the advantage of forming adventitious buds and roots, and inhibiting brown samples, and to the middle-layer bulb-scale explant of the same size cultured on the same medium was next. Correlation analysis showed that the culture effect of the three-size explants on one kind of medium was significantly correlated with that of theirs on another kind of medium, which further proved that the result of Duncans multiple range test, i.e. if the effect of an explant size on one kind of medium were better, its effect on another kind of medium would also be better. Both Duncan's multiple range test and correlation analysis indicated that the effect of the size on 6.0 x 5.0 mm explant of the double endothecium bulb-scale joined by a strip of stem plate was better than those of the other sizes on the experimental explants, and to that of 6.0 x 5.0 mm size of the double middle-layer bulb-scale joined by a strip of stem plate was next.