Mechanochemical-Assisted Extraction and Biological Activity Research of Phenolic Compounds from Lotus Seedpod (Receptaculum Nelumbinis).

To explore the feasibility of the mechanochemical-assisted extraction (MCAE) of phenolic compounds from lotus seedpod (Receptaculum Nelumbinis), a single-factor experiment combined with response-surface methodology (RSM) was used to optimize the extraction process. The results showed the optimal extraction conditions as follows: Li2CO3 as a solid reagent (25%), an extraction time of 80 min, liquid/solid ratio of 42.8 mL/g, and extraction temperature of 80.7 °C; and the maximum value of total phenolic content (TPC) was 106.15 ± 1.44 gallic acid equivalents (GAE)/g dry weight (DW). Additionally, the 2,2-Diphenyl-1-picrylhydrazyl (DPPH), 2,2'-azinobis (3-ethylbenzothiazoline-6-sulfonic acid) (ABTS), and ferric reducing antioxidant power (FRAP) were 279.75 ± 18.71, 618.60 ± 2.70, and 634.14 ± 7.17 µmol TE/g, respectively. Ultra-high pressure liquid chromatography combined with triple-time-of-flight mass spectrophotometry (UPLC-Triple-TOF/MS) analysis identified eight phenolic compounds mainly consisting of polyphenols and flavonoids. Moreover, the phenolic compounds showed potent inhibitory effects on both α-amylase and α-glucosidase, with inhibition rates of over 80%. Furthermore, the results showed different degrees of inhibition activity against Bacillus subtilis, Staphylococcus aureus, and Escherichia coli, among which the inhibitory effect on the growth of B. subtilis was the best. This paper shows that the phenolic compounds have good biological activities, which provides a reference for the further exploitation of LSP.

Fabrication and Characterization of Complex Coacervation: The Integration of Sesame Protein Isolate-Polysaccharides.

The exceptional biocompatibility of emulsion systems that rely on stabilizing protein-polysaccharide particles presents extensive possibilities for the transportation of bioactive carriers, making them highly promising for various biological applications. The current work aimed to explore the phenomenon of complex coacervation between sesame protein isolate (SPI) and four distinct polysaccharides, namely, Arabic gum (GA), carrageenan (CAR), sodium carboxymethyl cellulose (CMC), and sodium alginate (SA). The study objective was achieved by fabricating emulsions through the blending of these polymers with oil at their maximum turbidity level (φ = 0.6), followed by the measurement of their rheological properties. The turbidity, ζ-potential, and particle size were among the techno-parameters analyzed to assess the emulsion stability. The microstructural characterization of the emulsions was conducted using both transmission electron microscopy (TEM) and scanning electron microscopy (SEM). Furthermore, the functional properties were examined using Fourier-transform infrared spectroscopy (FTIR) and X-ray diffraction (XRD). The SPI incorporated with SA, CMC, and CAR reached the maximum turbidity (0.2% w/v) at a ratio of 4:1, corresponding to the pH values of 4.5, 3, or 3.5, respectively. The SPI-GA mixture exhibited the maximum turbidity at a ratio of 10:1 and pH 4.5. Results from the FTIR and XRD analyses provided evidence of complex formation between SPI and the four polysaccharides, with the electrostatic and hydrogen bond interactions facilitating the binding of SPI to these polysaccharides. SPI was bound to the four polysaccharides through electrostatic and hydrogen bond interactions. The SPI-CMC and SPI-SA emulsions were more stable after two weeks of storage.

A semi-supervised network-based tissue-aware contrast enhancement method for CT images / 南方医科大学学报

OBJECTIVE@#To propose a tissue- aware contrast enhancement network (T- ACEnet) for CT image enhancement and validate its accuracy in CT image organ segmentation tasks.@*METHODS@#The original CT images were mapped to generate low dynamic grayscale images with lung and soft tissue window contrasts, and the supervised sub-network learned to recognize the optimal window width and level setting of the lung and abdominal soft tissues via the lung mask. The self-supervised sub-network then used the extreme value suppression loss function to preserve more organ edge structure information. The images generated by the T-ACEnet were fed into the segmentation network to segment multiple abdominal organs.@*RESULTS@#The images obtained by T-ACEnet were capable of providing more window setting information in a single image, which allowed the physicians to conduct preliminary screening of the lesions. Compared with the suboptimal methods, T-ACE images achieved improvements by 0.51, 0.26, 0.10, and 14.14 in SSIM, QABF, VIFF, and PSNR metrics, respectively, with a reduced MSE by an order of magnitude. When T-ACE images were used as input for segmentation networks, the organ segmentation accuracy could be effectively improved without changing the model as compared with the original CT images. All the 5 segmentation quantitative indices were improved, with the maximum improvement of 4.16%.@*CONCLUSION@#The T-ACEnet can perceptually improve the contrast of organ tissues and provide more comprehensive and continuous diagnostic information, and the T-ACE images generated using this method can significantly improve the performance of organ segmentation tasks.

A semi-supervised material quantitative intelligent imaging algorithm for spectral CT based on prior information perception learning / 南方医科大学学报

OBJECTIVE@#To propose a semi-supervised material quantitative intelligent imaging algorithm based on prior information perception learning (SLMD-Net) to improve the quality and precision of spectral CT imaging.@*METHODS@#The algorithm includes a supervised and a self- supervised submodule. In the supervised submodule, the mapping relationship between low and high signal-to-noise ratio (SNR) data was constructed through mean square error loss function learning based on a small labeled dataset. In the self- supervised sub-module, an image recovery model was utilized to construct the loss function incorporating the prior information from a large unlabeled low SNR basic material image dataset, and the total variation (TV) model was used to to characterize the prior information of the images. The two submodules were combined to form the SLMD-Net method, and pre-clinical simulation data were used to validate the feasibility and effectiveness of the algorithm.@*RESULTS@#Compared with the traditional model-driven quantitative imaging methods (FBP-DI, PWLS-PCG, and E3DTV), data-driven supervised-learning-based quantitative imaging methods (SUMD-Net and BFCNN), a material quantitative imaging method based on unsupervised learning (UNTV-Net) and semi-supervised learning-based cycle consistent generative adversarial network (Semi-CycleGAN), the proposed SLMD-Net method had better performance in both visual and quantitative assessments. For quantitative imaging of water and bone materials, the SLMD-Net method had the highest PSNR index (31.82 and 29.06), the highest FSIM index (0.95 and 0.90), and the lowest RMSE index (0.03 and 0.02), respectively) and achieved significantly higher image quality scores than the other 7 material decomposition methods (P < 0.05). The material quantitative imaging performance of SLMD-Net was close to that of the supervised network SUMD-Net trained with labeled data with a doubled size.@*CONCLUSIONS@#A small labeled dataset and a large unlabeled low SNR material image dataset can be fully used to suppress noise amplification and artifacts in basic material decomposition in spectral CT and reduce the dependence on labeled data-driven network, which considers more realistic scenario in clinics.

SUMOylation of SIRT1 activating PGC-1α/PPARα pathway mediates the protective effect of LncRNA-MHRT in cardiac hypertrophy.

Long noncoding RNA-Myosin heavy chain associated RNA transcript (LncRNA-MHRT) has been reported to prevent pathological cardiac hypertrophy. However, the underlying inhibition mechanism has not been fully elucidated. Further, whether MHRT inhibits hypertrophy by regulating post-translational modification of certain proteins remains unclear. Therefore, this study aims to find potential role of MHRT in inhibiting cardiac hypertrophy via regulating modification of certain proteins. Here, Angiotensin II (Ang II) -treated neonatal rat cardiomyocytes and transverse aortic constriction (TAC) mice were used to investigate the effect and mechanism of MHRT in cardiac hypertrophy in vitro and in vivo. Moreover, the regulatory effects of MHRT on SUMOylation of NAD-dependent protein deacetylase sirtuin-1 (SIRT1), peroxisome proliferator-activated receptor γ coactivator-1 α (PGC-1α)/peroxisome proliferator-activated receptor-α (PPARα), specificity protein 1 (SP1)/histone deacetylase 4 (HDAC4) pathway were investigated. Here, we found that MHRT improved heart function by attenuating pathological cardiac hypertrophy in vivo and in vitro. MHRT also promoted the SUMOylation of SIRT1 protein that activated PGC1-α/PPAR-α pathway. Furthermore, MHRT enhanced SUMOylation of SIRT1 by upregulating SP1/HDAC4. Our findings suggested that SUMOylation of SIRT1 could mediate the protective effect of MHRT in cardiac hypertrophy. The new regulatory pathway provides a potential new therapeutic target for pathological cardiac hypertrophy.

[Establishment of An Animal Model of Acute B Lymphoblastic Leukemia with Minimal Residual Disease].

OBJECTIVE: To establish an animal model of acute B lymphoblastic leukemia (B-ALL) with minimal residual disease. METHODS: The transplanted tumor was formed by subcutaneous injection of 2×107 Nalm-6 cells, and the body weight, activity status and tumor formation status of nude mice were observed. Peripheral blood, bone marrow, liver and spleen and other tissues of nude mice were taken for pathological examination to understand whether the success of subcutaneous modeling was accompanied by systemic metastasis. RESULTS: There were 2×107 Nalm-6 cells injected subcutaneously in nude mice, (11.0±2.5) days later, the tumors of (3-4) × (3-4) mm were observed, the body weight of the nude mice was reduced and activity showed no limited. Infiltration of tumor cells in liver, spleen and bone marrow were observed in pathological sections. CONCLUSION: The animal model of subcutaneous tumor of B-ALL was successfully established in nude mice.

Fabrication and characterization of ZnO nanofilms using extracted pectin of Premna microphylla Turcz leaves and carboxymethyl cellulose.

The current study sought to fabricate pectin nano-films from Premna microphylla Turcz (PMTP) leaves using a combination of ZnO-carboxymethyl cellulose. The rheological and physical properties of fabricated nano-ZnO films were studied. Spectroscopy FT-IR, microscopic study (SEM), thermogravimetry (TG), and XRD were applied to characterize the fabricated film. The antibacterial activity of the nanofilm was determined using the antibacterial circle method. The findings showed that the addition of PMTP can reduce the nanofilm color, water solubility/hydrophilicity, air permeability, and ultraviolet light permeability of the nanofilm. Treatment CPN0.5 achieved the optimized Tensile strength (TS) of 4.50 Mpa, significant differences compared to CPN2 (3.99 Mpa) and CPN1 (3.65 Mpa). In addition, treatment CPN1 achieved the lowest WVP value (29.35) compared to the highest value (41.62) achieved by CPN0.5 treatment with no significant differences with CPN3 (29.7) and CPN1 (30.98) treatments. Elongation (E%) at break was the best for each CP10 (74.9) and CPN0.5 (73.03). Moreover, ZnO can enhance the nanofilm activity and the nanofilm water swelling ratio. Furthermore, adding ZnO to the nano-formula improved the antibacterial activity of the fabricated film against Staphylococcus aureus. In sum, nanofilms fabricated of PMTP and ZnO possess promising prospects as antibacterial agents in packaging applications.

Circular RNAs in peripheral blood mononuclear cells from ankylosing spondylitis.

BACKGROUND: Circular RNA (circRNA) is a type of closed circular noncoding RNA (ncRNA), mostly formed by back-splicing or alternative splicing of pre-messenger RNA (mRNA). The aim of this study was to explore the expression profile of circRNA in peripheral blood mononuclear cells (PBMCs) of patients with ankylosing spondylitis (AS) and discover potential molecular markers of AS. METHODS: The circRNA microarray technology was used to detect the expression of circRNAs in the peripheral blood of 6 patients with AS and 6 healthy controls (HC). To screen the differentially expressed circRNAs by fold change (FC) and P value, these differentially expressed circRNAs were analyzed by bioinformatics. In 60 cases of AS and 30 cases of HC, 4 circRNAs were subjected to real-time fluorescence quantitative polymerase chain reaction (RT-qPCR), and their correlation with various clinical indicators was analyzed. Finally, the receiver operating characteristic (ROC) curve was used to analyze their potential as AS diagnostic markers. RESULTS: The microarray results showed that there were 1369 significantly differently expressed (P < 0.05, FC > 1.5) circRNAs between the AS and HC groups (675 upregulated and 694 downregulated). The results of bioinformatics analysis suggested that they were mainly involved in "enzyme binding," "adenosine ribonucleotide binding," "MAPK signaling pathway", etc. The RT-qPCR results showed that the expressions of hsa_circRNA_001544 (U = 486.5, P < 0.05) and hsa_circRNA_102532 (U = 645, P < 0.05) were significantly different between the AS group and the HC group. The AS group was further divided into two subgroups: active AS (ASA) and stable AS (ASS). After analysis, it was found that compared with the HC group, hsa_circRNA_001544 was significantly increased in both ASA (U = 214, P < 0.05) and ASS groups (U = 273, P < 0.05), while hsa_circRNA_008961 (U = 250, P < 0.05) and hsa_circRNA_102532 (U = 295, P < 0.05) were only significantly increased in the ASA group. Furthermore, hsa_circRNA_012732 was significantly different between the ASA and ASS groups (U = 194, P < 0.05), and there was no statistical significance among the remaining groups. Correlation analysis results showed that hsa_circRNA_012732 was negatively correlated with Bath Ankylosing Spondylitis Disease Activity Index (BASDAI), high-sensitivity C-reactive protein (hsCRP), and globulin (GLOB) and positively correlated with lymphocyte count (LY), mean corpusular volume, and albumin (ALB), and hsa_circRNA_008961 was negatively correlated with platelet (PLT) count. ROC curve analysis showed that hsa_circRNA_001544 (95% CI = 0.610-0.831, P < 0.05) and hsa_circRNA_102532 (95% CI = 0.521-0.762, P < 0.05) were statistically significant, and their area under curve (AUC) values were 0.720 and 0.642, respectively. CONCLUSIONS: There are differentially expressed circRNAs in PBMCs of AS patients, and they may be involved in the occurrence and development of AS. Among these differentially expressed circRNAs, hsa_circRNA_012732 has the potential to become an indicator of disease activity, and hsa_circRNA_001544 has the potential to become a molecular marker for AS diagnosis.

No Association of MicroRNA-146a rs2910164 Polymorphism and Risk of Primary Gout Development in Chinese Han Populations: A Case-control Study.

BACKGROUND: Previous studies demonstrated that MicroRNA-146a (miR-146a) plays an important role in the regulation of autoinflammatory diseases including primary gout. The G/C polymorphism (rs2910164) in the precursor sequence of miR-146a caused its stem region to change from G: U to C: U,which can contribute to the susceptibility of human diseases. However, no genetic relevance studies of miR-146a gene polymorphisms to gout have been reported by now. OBJECTIVE: The purpose of this study was to analyze the association between the miR-146a rs2910164 genetic polymorphism and the susceptibility of the Chinese Han population to primary gout. METHODS: 1130 Chinese Han participants (including 606 primary gout patients and 524 gender and age-matched healthy control subjects) were recruited and the 5'exonuclease TaqMan® technology was used to perform miR-146a rs2910164 genotyping. RESULTS: After statistical analysis, no significant differences were observed between gout patients and healthy controls in genotype and allele frequency. CONCLUSION: Our results indicate that there is no evidence for the involvement of the miR-146a rs2910164 polymorphisms in susceptibility to primary gout in the Chinese Han population.

MicroRNA-223 Suppresses IL-1ß and TNF-α Production in Gouty Inflammation by Targeting the NLRP3 Inflammasome.

Introduction: MicroRNA-223 (MiR-223) serves as an important regulator of inflammatory and immune responses and is implicated in several auto-inflammatory disorders. Here, we measured miR-223 expression in acute and intercritical gout patients, after which we used RAW264.7 macrophages transfected with a miR-223 mimic/inhibitor to determine the function of miR-223 in monosodium urate (MSU)-induced gouty inflammation. Methods and Results: MiR-223 was detected among 122 acute gout patients (AG), 118 intercritical gout patients (IG), and 125 healthy subjects (HC). RAW264.7 macrophages were cultured and treated with MSU. Over-expression or under-expression of miR-223 was inducted in RAW264.7 macrophages to investigate the function of miR-223. Real-time quantitative PCR, ELISA and western blotting were used to determine the expression levels of miR-223, cytokines and the NLRP3 inflammasome (NLRP3, ASC, and caspase-1). MiR-223 expression was significantly decreased in the AG group in comparison with the IG and HC groups (p < 0.001, respectively). Up-regulated expression of miR-223 was observed after acute gout remission in comparison with that observed during gout flares in 30 paired cases (p < 0.001). The abundance of the NLRP3 inflammasome and cytokines was significantly increased after RAW264.7 macrophages were treated with MSU (p < 0.01, respectively), while that of miR-223 was significantly reduced (p < 0.01). Up-regulation of miR-223 decreased the concentrations of IL-1ß and TNF-α, as well as the NLRP3 inflammasome expression (p < 0.01, respectively), while IL-37 and TGF-ß1 levels were unchanged (p > 0.05, respectively). Under-expression of miR-223 increased the concentrations of IL-1ß and TNF-α, as well as NLRP3 inflammasome expression (p < 0.01, respectively), while IL-37 and TGF-ß1 levels were not influenced (p > 0.05, respectively). Conclusion: These findings suggest that miR-223 provides negative feedback regulation of the development of gouty inflammation by suppressing production of IL-1ß and TNF-α, but not by regulating IL-37 and TGF-ß1. Moreover, miR-223 regulates cytokine production by targeting the NLRP3 inflammasome.

LncRNAs Landscape in the patients of primary gout by microarray analysis.

To determine the expression profile and clinical significance of long non-coding RNAs (lncRNAs) in peripheral blood mononuclear cells (PBMCs) of patients with primary gout and healthy control subjects. Human lncRNA microarrays were used to identify the differentially expressed lncRNAs and mRNAs in primary gout patients (n = 6) and healthy control subjects (n = 6). Bioinformatics analyses were performed to predict the roles of differently expressed lncRNAs and mRNAs. Quantitative real-time polymerase chain reaction (qRT-PCR) was performed to detect the expression levels of 8 lnRNAs in 64 primary gout patients and 32 healthy control subjects. Spearman's correlation was used to analyze the correlation between these eight lncRNAs and the laboratory values of gout patients. A receiver operating characteristic (ROC) curve was constructed to evaluate the diagnostic value of the lncRNAs identified in gout. The microarray analysis identified 1479 differentially expressed lncRNAs (879 more highly expressed and 600 more lowly expressed), 862 differentially expressed mRNAs (390 more highly expressed and 472 more lowly expressed) in primary gout (fold change > 2, P < 0.05), respectively. The bioinformatic analysis indicated that the differentially expressed lncRNAs regulated the abnormally expressed mRNAs, which were involved in the pathogenesis of gout through several different pathways. The expression levels of TCONS_00004393 and ENST00000566457 were significantly increased in the acute gout flare group than those in the intercritical gout group or healthy subjects (P<0.01). Moreover, inflammation indicators were positive correlated with TCONS_00004393 and ENST00000566457 expression levels. The areas under the ROC curve of ENST00000566457 and NR-026756 were 0.868 and 0.948, respectively. Our results provide novel insight into the mechanisms of primary gout, and reveal that TCONS_00004393 and ENST00000566457 might be as candidate targets for the treatment of gout flare; ENST00000566457 and NR-026756 could effectively discriminate between the gout and the healthy control groups.

Engineering Improves Enzymatic Synthesis of L-Tryptophan by Tryptophan Synthase from Escherichia coli.

To improve the thermostability of tryptophan synthase, the molecular modification of tryptophan synthase was carried out by rational molecular engineering. First, B-FITTER software was used to analyze the temperature factor (B-factor) of each amino acid residue in the crystal structure of tryptophan synthase. A key amino acid residue, G395, which adversely affected the thermal stability of the enzyme, was identified, and then, a mutant library was constructed by site-specific saturation mutation. A mutant (G395S) enzyme with significantly improved thermal stability was screened from the saturated mutant library. Error-prone PCR was used to conduct a directed evolution of the mutant enzyme (G395S). Compared with the parent, the mutant enzyme (G395S /A191T) had a Km of 0.21 mM and a catalytic efficiency kcat/Km of 5.38 mM-1∙s-1, which was 4.8 times higher than that of the wild-type strain. The conditions for L-tryptophan synthesis by the mutated enzyme were a L-serine concentration of 50 mmol/L, a reaction temperature of 40 °C, pH of 8, a reaction time of 12 h, and an L-tryptophan yield of 81%. The thermal stability of the enzyme can be improved by using an appropriate rational design strategy to modify the correct site. The catalytic activity of tryptophan synthase was increased by directed evolution.

The correlation between trimethylamine N-oxide, lipoprotein ratios, and conventional lipid parameters in patients with unstable angina pectoris.

PURPOSE: Trimethylamine N-oxide (TMAO) is recently the main risk factor for coronary heart disease (CHD). Plasma lipid levels are conventionally used to predict coronary risk, but the correlation between TMAO and plasma lipid levels in unstable angina pectoris (UAP) was unclear. Our objective was to compare the plasma level of TMAO to lipoprotein ratios and conventional lipid parameters in UAP patients. METHODS: A total of 114 control participants and 184 UAP patients were enrolled. Demographic characteristics were collected. Plasma levels of TMAO and lipid in all patients were measured and analyzed. The receiver operating characteristic analysis (ROC), univariate, and multivariate logistic regression analyses were carried out to examine the relationship between TMAO, lipoprotein ratios, conventional lipid parameters, and UAP. RESULTS: The plasma levels of TMAO were remarkably increased in UAP patients (3.28 ± 1.97 µM) compared with control participants (1.52 ± 0.59 µM, P < 0.01). TMAO was significantly correlated with lipid levels in UAP patients. The ROC, univariate and multivariate logistic regression analysis both showed that the TMAO significantly increased the risk for occurrence of UAP. CONCLUSIONS: Our data indicate that the TMAO is superior to lipoprotein ratios and conventional lipid parameters in predicting occurrence of UAP.

Quality evaluation of bee pollens by chromatographic fingerprint and simultaneous determination of its major bioactive components.

Bee pollens constitute a large number of flavonoids and thus possess great medicinal value. However different varieties of bee pollen flavonoids vary with different species and their content also differ greatly in different region. Herein, the aim of present research is to establish a method based on high performance liquid chromatography (HPLC) for quantitative analysis of flavonoids compounds and chemical fingerprint analysis of bee pollen. Five batches of rape bee pollen collected from different region of China and particularly six bee pollen species obtained in Anhui were used to establish the fingerprint. The feasibility and advantages of the used HPLC fingerprint were verified for its similarity evaluation by systematically comparing chromatograms with professional analytical software. The similarities of liquid chromatography fingerprints for five batches of rape bee pollen were more than 0.994 while six batches of different species of bee pollen were lower than 0.810. In quantitative analysis, the six compounds showed good regression (R ≥ 0.9964) within the test ranges, and all the values for the RSD were lower than 2%. The developed HPLC fingerprint method was found simple, reliable, and it was validated for the quality control and identification of bee pollen. Additionally, simultaneous quantification of six flavonoids ingredients in the bee pollen samples was conducted to reveal the variation in their content. The results indicated that the HPLC fingerprint, as a characteristic distinguishing method combining similarity evaluation and quantification analysis, can be successfully used to assess the quality and also to identify the authenticity of bee pollen.

Isolation and genetic analysis of a nidovirus from crucian carp (Carassius auratus).

A nidovirus was isolated from crucian carp (Carassius auratus). The complete genome of the crucian carp nidovirus (CCNV) is 25,971 nt long and has five open reading frames, encoding the polyprotein 1ab (pp1ab), spike glycoprotein (S), membrane protein (M), and nucleocapsid protein (N). CCNV has the highest similarity to Chinook salmon nidovirus (CSNV). However, the CCNV HB93 pp1ab protein sequence has three long fragment deletions compared with the CSNV. Phylogenetic analysis based on the complete genome sequence showed that CCNV HB93 clusters with CSNV, indicating that CCNV represents a second species in the new genus Oncotshavirus within the new family Tobaniviridae in the order Nidovirales.

Establishment of a deep feature-based classification model for distinguishing benign and malignant breast tumors on full-filed digital mammography / 南方医科大学学报

OBJECTIVE@#To develop a deep features-based model to classify benign and malignant breast lesions on full- filed digital mammography.@*METHODS@#The data of full-filed digital mammography in both craniocaudal view and mediolateral oblique view from 106 patients with breast neoplasms were analyzed. Twenty-three handcrafted features (HCF) were extracted from the images of the breast tumors and a suitable feature set of HCF was selected using -test. The deep features (DF) were extracted from the 3 pre-trained deep learning models, namely AlexNet, VGG16 and GoogLeNet. With abundant breast tumor information from the craniocaudal view and mediolateral oblique view, we combined the two extracted features (DF and HCF) as the two-view features. A multi-classifier model was finally constructed based on the combined HCF and DF sets. The classification ability of different deep learning networks was evaluated.@*RESULTS@#Quantitative evaluation results showed that the proposed HCF+DF model outperformed HCF model, and AlexNet produced the best performances among the 3 deep learning models.@*CONCLUSIONS@#The proposed model that combines DF and HCF sets of breast tumors can effectively distinguish benign and malignant breast lesions on full-filed digital mammography.

Key technologies in digital breast tomosynthesis system:theory, design, and optimization / 南方医科大学学报

OBJECTIVE@#To develop a digital breast tomosynthesis (DBT) imaging system with optimizes imaging chain.@*METHODS@#Based on 3D tomography and DBT imaging scanning, we analyzed the methods for projection data correction, geometric correction, projection enhancement, filter modulation, and image reconstruction, and established a hardware testing platform. In the experiment, the standard ACR phantom and high-resolution phantom were used to evaluate the system stability and noise level. The patient projection data of commercial equipment was used to test the effect of the imaging algorithm.@*RESULTS@#In the high-resolution phantom study, the line pairs were clear without confusing artifacts in the images reconstructed with the geometric correction parameters. In ACR phantom study, the calcified foci, cysts, and fibrous structures were more clearly defined in the reconstructed images after filtering and modulation. The patient data study showed a high contrast between tissues, and the lesions were more clearly displayed in the reconstructed image.@*CONCLUSIONS@#This DBT imaging system can be used for mammary tomography with an image quality comparable to that of commercial DBT systems to facilitate imaging diagnosis of breast diseases.

Age-related changes of yolk precursor formation in the liver of laying hens / 浙江大学学报（英文版）（B辑：生物医学和生物技术）

A rapid decline in egg production of laying hens begins after 480 d of age. Such a rapid decrease results predominantly from the ovarian aging, accompanied by endocrine changes, decreased yolk synthesis and accumulation, and the reduction in follicles selected into the preovulatory hierarchy. In this study, hens at 90, 150, 280, and 580 d old (D90, D150, D280, and D580, respectively) were compared for yolk precursor formation in the liver to elucidate effects of aging on laying performance. The results showed that liver lipid synthesis increased remarkably in hens from D90 to D150, but decreased sharply at D580 as indicated by the changes in triglyceride (TG) levels. This result was consistent with the age-related changes of the laying performance. The levels of liver antioxidants and total antioxidant capacity decreased significantly in D580 hens and the methane dicarboxylic aldehyde in D580 hens was much higher than that at other stages. The serum 17β-estradiol level increased from D90 to D280, but decreased at D580 (P<0.05). The expression of estrogen receptor α and β mRNAs in the liver displayed similar changes to the serum 17β-estradiol in D580 hens. Expressions of the genes related to yolk precursor formation and enzymes responsible for fat acid synthesis were all decreased in D580 hens. These results indicated that decreased yolk precursor formation in the liver of the aged hens resulted from concomitant decreases of serum 17β-estradiol level, transcription levels of estrogen receptors and critical genes involved in yolk precursor synthesis, and liver antioxidant status.

Regulatory effect of CGRP on NOS in tibial fracture healing in the rat model of highly selective sensory and motor denervation / 医学研究生学报

Objective The aim of this study was to explore the regulatory effect of calcitonin gene-related peptide (CGRP) on nitric oxide synthase (NOS) and the nitric oxide (NO) pathway in tibial fracture (TF) healing in the rat model of highly selective denervation.Methods A total of 60 SD rats were randomly divided into three groups of equal number, TF control, TF + sensory denervation (SD), and TF + motor denervation (MD). At 1, 2, 3 and 4 weeks after modeling, osteotylus samples were obtained from the rats for observation of the bone morphology and determination of the expressions of CGRP and NOS by immunohistochemistry and HE staining.Results At 2 and 3 weeks after modeling, the rats of the TF+SD group, as compared with the TF controls, showed significantly decreased expression of CGRP (0.150±0.014 vs 0.210±0.013, P<0.05; 0.143±0.017 vs 0.203±0.013, P<0.05) and that of eNOS in the osteotylus (0.170±0.016 vs 0.219±0.026, P<0.05; 0.158±0.016 vs 0.201±0.013, P<0.05).Conclusion Selective denervation, especially sensory denervation, may change the expression of CGRP and thereby that of NOS in the osteotylus of the rat with tibial fracture, which consequently affects the growth of the osteotylus and fracture healing as well.

Design and optimization of a cone-beam CT system for extremity imaging / 南方医科大学学报

OBJECTIVE@#To establish a cone beam computed tomography (ECBCT) system for high-resolution imaging of the extremities.@*METHODS@#Based on three-dimensional X-Ray CT imaging and high-resolution flat plate detector technique, we constructed a physical model and a geometric model for ECBCT imaging, optimized the geometric calibration and image reconstruction methods, and established the scanner system. In the experiments, the pencil vase phantom, image quality (IQ) phantom and a swine feet were scanned using this imaging system to evaluate its effectiveness and stability.@*RESULTS@#On the reconstructed image of the pencil vase phantom, the edges were well preserved with geometric calibrated parameters and no aliasing artifacts were observed. The reconstructed images of the IQ phantom showed a uniform distribution of the CT number, and the noise power spectra were stable in multiple scanning under the same condition. The reconstructed images of the swine feet had clearly displayed the bones with a good resolution.@*CONCLUSIONS@#The ECBCT system can be used for highresolution imaging of the extremities to provide important imaging information to assist in the diagnosis of bone diseases.