Objective To explore a deep learning-based automatic bone age estimation model for elbow joint X-ray images of Chinese Han adolescents and children and evaluate its performance.Methods A total of 943(517 males and 426 females)elbow joint frontal view X-ray images of Chinese Han ado-lescents and children aged 6.00 to<16.00 years were collected from East,South,Central and North-west China.Three experimental schemes were adopted for bone age estimation.Scheme 1:Directly in-put preprocessed images into the regression model;Scheme 2:Train a segmentation network using"key elbow joint bone annotations"as labels,then input segmented images into the regression model;Scheme 3:Train a segmentation network using"full elbow joint bone annotations"as labels,then in-put segmented images into the regression model.For segmentation,the optimal model was selected from U-Net,UNet++and TransUNet.For regression,VGG16,VGG19,InceptionV2,InceptionV3,ResNet34,ResNet50,ResNet101 and DenseNet121 models were selected for bone age estimation.The dataset was randomly split into 80%(754 samples)for training and validation for model fitting and hyperparameter tuning,and 20%(189 samples)as an internal test set to test the performance of the trained model.An additional 104 elbow joint X-ray images from the same demographic and age group were col-lected and used as an external test set.Model performance was evaluated by comparing the mean ab-solute error(MAE),root mean square error(RMSE),accuracies within±0.7 years(P±0.7 years)and±1.0 years(P±1.0 years)between the estimated age and the actual age,and by drawing radar charts,scat-ter plots,and heatmaps.Results When segmented with Scheme 3,the UNet++model achieved good segmentation performance with a segmentation loss of 0.000 4 and an accuracy of 93.8%at a learning rate of 0.000 1.In the internal test set,the DenseNet121 model with Scheme 3 yielded the best results with MAE,P±0.7 years and P±1.0 years being 0.83 years,70.03%,and 84.30%,respectively.In the external test set,the DenseNet121 model with Scheme 3 also performed best,with an average MAE of 0.89 years and an average RMSE of 1.00 years.Conclusion When performing automatic bone age estima-tion using elbow joint X-ray images in Chinese Han adolescents and children,it is recommended to use the UNet++model for segmentation.The DenseNet121 model with Scheme 3 achieves optimal per-formance.Using segmentation networks,especially that trained with annotation areas encompassing the full elbow joint including the distal humerus,proximal radius,and proximal ulna,can improve the ac-curacy of bone age estimation based on elbow joint X-ray images.

Objective To explore a deep learning network model suitable for bone age estimation using shoulder joint X-ray images in Chinese Han adolescents.Methods A retrospective collection of 1 286 shoulder joint X-ray images of Chinese Han adolescents aged 12.0 to<18.0 years(708 males and 578 females)was conducted.Using random sampling,approximately 80%of the samples(1 032 cases)were selected as the training and validation sets for model learning,selection and optimization,and the other 20%samples(254 cases)were used as the test set to evaluate the model's generalization ability.The original single-channel shoulder joint X-ray images and dual-channel inputs combining original images with segmentation labels(manually annotated shoulder joint regions multiplied pixel-by-pixel with original images,followed by segmentation via the U-Net++network to retain only key shoulder joint region information)were respectively input into four network models,namely VGG16,ResNet18,ResNet50 and DenseNet121 for bone age estimation.Additionally,manual bone age estimation was con-ducted on the test set data,and the results were compared with the four network models.The mean absolute error(MAE),root mean square error(RMSE),coefficient of determination(R2),and Pear-son correlation coefficient(PCC)were used as main evaluation indicators.Results In the test set,the bone age estimation results of the four models with dual-channel input of shoulder joint X-ray images outperformed those with single-channel input in all four evaluation indicators.Among them,DenseNet121 with dual-channel input achieved best results with MAE of 0.54 years,RMSE of 0.82 years,R2 of 0.76,and PCC(r)of 0.88.Manual estimation yielded an MAE of 0.82 years,ranking second only to dual-channel DenseNet121.Conclusion The DenseNet121 model with dual-channel input combined with original images and segmentation labels is superior to manual evaluation results,and can effectively estimate the bone age of Chinese Han adolescents.

The epidemiology and etiology of three suspected cases of imported skin diphtheria infection in Fujian Province were investigated.Secretion samples of patients with skin damage were collected for isolation and culture of Corynebacterium diphtheriae.Biochemical identification and mass spectrum analysis of pure cultures of suspected C.diphtheriae were conduc-ted,the virulence-related genes,including diphtheria toxin reporter(dtxR),toxin A(toxA),and toxin B(toxB)were detec-ted,and multilocus sequence typing(MLST)was performed.All three cases had typical clinical manifestations of cutaneous diphtheria,and C.diphtheriae was isolated from the damaged skin.The virulence genes of two C.diphtheriae strains isolated from two cases were identified as dtxR(+),toxA(-),and toxB(-),and the MLST type was ST-703.The virulence genes of C.diphtheriae isolated from one case were identified as dtxR(+),toxA(+),toxB(+),and the MLST type was ST-248.There is an increased risk of diphtheria in Fujian Province.C.diphtheriae without diphtheria toxin genes can also cause skin diphtheria.

AIM:To investigate the effect of vaccarin(VAC)on endothelial dysfunction in type 2 diabetes mellitus(T2DM),and to uncover the underlying mechanisms.METHODS:(1)C57BL/6 mice received intraperitoneal injection of streptozotocin and were fed with a high-fat diet(21.8 kJ/kg,60%of the energy source was fat)to construct a T2DM mouse model.Thirty mice were randomly divided into control,T2DM and T2DM+VAC groups,with 10 mice in each group.The mice in T2DM+VAC group were given 1 mg/kg VAC via oral gavage for 6 weeks,while those in control and T2DM groups were given the same volume of PBS.The mRNA and protein expression levels of BCL2-interacting pro-tein 3(BNIP3),PTEN-induced kinase 1(PINK1)and parkin in the thoracic aorta were detected by RT-qPCR and West-ern blot.(2)Human umbilical vein endothelial cells(HUVECs)were stimulated by high glucose(HG;35 mmol/L glu-cose).Mitochondrial membrane potential,autophagy and mitochondrial superoxide levels were detected using JC-1,acri-dine orange(AO)and MitoSOX staining,respectively.RESULTS:Compared with control group,the mRNA and protein levels of BNIP3,PINK1 and parkin were significantly increased in the thoracic aorta of T2DM mice(P<0.05).Compared with T2DM group,the mRNA and protein levels of BNIP3,PINK1 and parkin in the thoracic aorta were significantly re-duced in T2DM+VAC group(P<0.05).The results of JC-1,AO and MitoSOX staining showed that VAC attenuated the decrease in mitochondrial membrane potential and the increase in autophagy and mitochondrial superoxide levels in HG-in-duced HUVECs.Treatment with VAC also inhibited HG-mediated mitochondrial damage in HUVECs after BNIP3 overex-pression.The effect of miR-570-3p mimic on mitochondrial damage was similar to VAC.RT-qPCR and Western blot showed that both miR-570-3p mimic and VAC significantly reduced the mRNA and protein levels of BNIP3,PINK1 and parkin.In contrast,inhibition of miR-570-3p exhibited the opposite effects.CONCLUSION:Treatment with VAC alle-viated endothelial dysfunction in T2DM by inhibiting HG-induced mitochondrial dysfunction through miR-570-3p/BNIP3.

Antibacterial therapy is a global health issue. The antibiotic resistance is becoming an increasingly serious threat, which caused by misuse and overuse of antibacterial agents combined with the emergence of new resistance mechanism. The resulting infection treatment risk and incidence of the spread of disease, severe cases and deaths are increased in different degrees. With the extensive application of biomaterials and nanotechnology to biomedicine, extensive research has been conducted on antibacterial infection. With the specific physicochemical properties like optical, electric and magnetic and high penetration, inorganic nanomaterials can produce natural antibacterial effect. Nanomedicine can be designed to allow controlled drug release and targeting effect, thus demonstrated better antibacterial efficiency. In this review, the mechanism of antibacterial resistance is described, and the antibacterial infection research on inorganic nanomaterials, as well as nano-drug delivery system including liposomes, nanoparticles, dendrimers and biomimetic nanocarriers are summarized. Nanomaterials and nanotechnology offer promising strategies for the development of new agents that can improve efficacy on antibacterial infections and overcome antibiotic resistance potentially.

Background/Aims:  Rituximab is known to be associated with high hepatitis B virus (HBV) reactivation rate in patients with resolved HBV infection and hematologic malignancy. However, data regarding HBV reactivation (HBVr) in rheumatic patients receiving rituximab is limited. To assess the HBVr rate in hepatitis B surface antigen (HBsAg)-negative patients receiving rituximab for autoimmune diseases in a large real-world cohort. Methods:  From March 2006 to December 2019, 900 patients with negative HBsAg receiving at least one cycle of rituximab for autoimmune diseases in a tertiary medical center in Taiwan were retrospectively reviewed. Clinical outcome and factors associated with HBVr were analyzed. Results: After a median follow-up period of 3.3 years, 21 patients developed HBVr, among whom 17 patients were positive for hepatitis B core antibody (anti-HBc) and four were negative. Thirteen patients had clinical hepatitis flare, while eight patients had HBsAg seroreversion without hepatitis. Old age, anti-HBc positivity, undetectable serum hepatitis B surface antibody level at rituximab initiation and a higher average rituximab dose were associated with a higher HBVr rate. There was no significant difference in the HBVr risk between rheumatoid arthritis and other autoimmune diseases. Among anti-HBc-negative patients, subjects without HBV vaccination at birth had an increased risk of HBVr (4/368, 1.1%) compared with those who received vaccination (0/126, 0%). Conclusions In HBV endemic areas where occult HBV is prevalent, anti-HBc-negative patients, may still be at risk for HBVr after rituximab exposure. HBVr may still be considered in HBsAgnegative patients developing abnormal liver function after rituximab exposure, even in patients with negative anti-HBc.

This study aims to explore the mechanism of Yanghe Decoction(YHD) against subcutaneous tumor in pulmonary metastasis from breast cancer, which is expected to lay a basis for the treatment of breast carcinoma with YHD. The chemical components of medicinals in YHD, and the targets of the components were retrieved from Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform(TCMSP) and SwissTargetPrediction. The disease-related targets were searched from GeneCards and Online Mendelian Inheritance in Man(OMIM). Excel was employed to screen the common targets and plot the Venn diagram. The protein-protein interaction network was constructed. R language was used for Gene Ontology(GO) term enrichment and Kyoto Encyclopedia of Genes and Genomes(KEGG) pathway enrichment. A total of 53 female SPF Bablc/6 mice were randomized into normal group(same volume of normal saline, ig), model group(same volume of normal saline, ig), and low-dose and high-dose YHD groups(YHD, ig, 30 days), with 8 mice in normal group and 15 mice in each of the other groups. Body weight and tumor size was measured every day. Curves for body weight variation and growth of tumor in situ were plotted. In the end, the subcutaneous tumor sample was collected and observed based on hematoxylin and eosin(HE) staining. The mRNA and protein levels of hypoxia inducible factor-1α(HIF-1α), pyruvate kinase M2(PKM2), lactate dehydrogenase A(LDHA), and glucose transporter type 1(GLUT1) were detected by PCR and Western blot. A total of 213 active components of YHD and 185 targets against the disease were screened out. The hypothesis that YHD may regulate glycolysis through HIF-1α signaling pathway to intervene in breast cancer was proposed. Animal experiment confirmed that the mRNA and protein levels of HIF-1α, PKM2, LDHA, and GLUT1 in the high-and low-dose YHD groups were lower than those in the model group. YHD has certain inhibitory effect on subcutaneous tumor in pulmonary metastasis from breast cancer in the early stage, which may intervene pulmonary metastasis from breast cancer by regulating glycolysis through HIF-1α signaling pathway.
Female ; Mice ; Animals ; Glucose Transporter Type 1/genetics* ; Network Pharmacology ; Animal Experimentation ; Saline Solution ; Drugs, Chinese Herbal/therapeutic use* ; Medicine, Chinese Traditional ; Signal Transduction ; Glycolysis ; RNA, Messenger ; Neoplasms/drug therapy* ; Molecular Docking Simulation

Humans ; Consensus ; Hypersensitivity ; Desensitization, Immunologic/adverse effects* ; Immunotherapy/adverse effects* ; Injections, Subcutaneous ; Allergens

Objective Dexmedetomidine is a highly selective alpha-2 adrenergic receptor agonist with sedative and analgesic properties but without respiratory depression effect and has been widely used in perioperative anesthesia. Here we performed a systematic review and meta-analysis to evaluate the effect of dexmedetomidine on maintaining perioperative hemodynamic stability in elderly patients.Methods PubMed, Web of Science, the Cochrane Library, China National Knowledge Infrastructure (CNKI), and Wanfang Data were searched for randomized-controlled trials (RCTs) on the application of dexmedetomidine in maintaining perioperative hemodynamic stability in elderly patients from their inception to September, 2021. The standardized mean differences (SMD) with 95% confidence interval (CI) were employed to analyze the data. The random-effect model was used for the potential clinical inconsistency.Results A total of 12 RCTs with 833 elderly patients (dexmedetomidine group, 546 patients; control group, 287 patients) were included. There was no significant increase in perioperative heart rate (HR), mean arterial pressure (MAP), and diastolic blood pressure (DBP) in the dexmedetomidine group before and during the operation. In addition, the variations of hemodynamic indexes including HR, MAP, SBP (systolic blood pressure), and DBP were significantly lower in the dexmedetomidine group compared with the control group (HR: SMD = -0.87, 95% CI: -1.13 to -0.62; MAP: SMD = -1.12, 95% CI: -1.60 to -0.63; SBP: SMD = -1.27, 95% CI: -2.26 to -0.27; DBP: SMD = -0.96, 95% CI: -1.33 to -0.59). Subgroup analysis found that with the prolongation of 1.0 μg/kg dexmedetomidine infusion, the patient's heart rate declined in a time-dependent way.Conclusion Dexmedetomidine provides more stable hemodynamics during perioperative period in elderly patients. However, further well-conducted trials are required to assess the effective and safer doses of dexmedetomidine in elderly patients.
Humans ; Aged ; Dexmedetomidine/adverse effects* ; Hemodynamics ; Hypnotics and Sedatives/pharmacology* ; Blood Pressure ; Heart Rate

OBJECTIVE: To investigate the mechanism by which Chinese medicine Shengmai Yin (SMY) reverses epithelial-mesenchymal transition (EMT) through lipocalin-2 (LCN2) in nasopharyngeal carcinoma (NPC) cells CNE-2R. METHODS: Morphological changes in EMT in CNE-2R cells were observed under a microscope, and the expressions of EMT markers were detected using quantitative real-time PCR (RT-qPCR) and Western blot assays. Through the Gene Expression Omnibus dataset and text mining, LCN2 was found to be highly related to radiation resistance and EMT in NPC. The expressions of LCN2 and EMT markers following SMY treatment (50 and 100 µ g/mL) were detected by RT-qPCR and Western blot assays in vitro. Cell proliferation, migration, and invasion abilities were measured using colony formation, wound healing, and transwell invasion assays, respectively. The inhibitory effect of SMY in vivo was determined by observing a zebrafish xenograft model with a fluorescent label. RESULTS: The CNE-2R cells showed EMT transition and high expression of LCN2, and the use of SMY (5, 10 and 20 µ g/mL) reduced the expression of LCN2 and reversed the EMT in the CNE-2R cells. Compared to that of the CNE-2R group, the proliferation, migration, and invasion abilities of SMY high-concentration group were weakened (P<0.05). Moreover, SMY mediated tumor growth and metastasis in a dose-dependent manner in a zebrafish xenograft model, which was consistent with the in vitro results. CONCLUSIONS SMY can reverse the EMT process of CNE-2R cells, which may be related to its inhibition of LCN2 expression. Therefore, LCN2 may be a potential diagnostic marker and therapeutic target in patients with NPC.
Animals ; Humans ; Nasopharyngeal Carcinoma/genetics* ; Epithelial-Mesenchymal Transition ; Zebrafish ; Cell Proliferation ; Cell Line, Tumor ; Nasopharyngeal Neoplasms/radiotherapy* ; Cell Movement ; Gene Expression Regulation, Neoplastic