A 20-year-old male patient presented to the Department of Dermatology of Peking Union Medical College Hospital with complaints of an 8-year history of facial scarring, swelling of the lower limbs, and a 4-year history of scalp thickening. Physical examination showed thickening furrowing wrinkling of the skin on the face and behind the ears, ciliary body hirsutism, blepharoptosis, and cutis verticis gyrate. Both lower limbs were swollen, especially the knees and ankles. The skin of the palms and soles of the feet was keratinized and thickened. Laboratory examination using bone and joint X-ray showed periostosis of the proximal middle phalanges and metacarpals of both hands, distal ulna and radius, tibia and fibula, distal femurs, and metatarsals.Genetic testing revealed two variants in SLCO2A1, c.1658T > A and c.96+4A > C.Through multidisciplinary consultation, we confirmed the diagnosis of pachydermoperiostosis.

Objective:To investigate the clinical value of abdominal adipose volume in predicting early tumor recurrence after resection of hepatocellular carcinoma (HCC).Methods:The retrospective case-control study was conducted. The clinicopathological data of 132 HCC patients with tumor diameter ≤5 cm who were admitted to The First Affiliated Hospital of Army Medical University from December 2017 to October 2019 were collected. There were 110 males and 22 females, aged (51±4)years. All patients underwent resection of HCC. Preoperative computer tomography scanning was performed and the visceral and subcutaneous fats of patients were quantified using the Mimics Research 21.0 software. Based on time to postoperative tumor recurrence patients were divided to two categories: early recurrence and non-early recurrence. Observation indicators: (1) consistency analy-sis; (2) analysis of factors influencing early tumor recurrence after resection of HCC and construction of prediction model. Measurement data with normal distribution were represented as Mean± SD, and comparison between groups was conducted using the t test. Measurement data with skewed distribu-tion were represented as M( Q1,Q3) or M(range), and comparison between groups was conducted using the Mann-Whitney U test. Count data were expressed as absolute numbers, and comparison between groups was conducted using the chi-square test or Fisher exact probability. Consistency analysis was conducted using the intragroup correlation coefficient (ICC) test. Multivariate analysis was performed using the binary Logistic regression model forward method. Independent risk factors influencing early tumor recurrence after resection of HCC were screened. The area under curve (AUC) of receiver operating characteristic (ROC) curve was applied to select the optimal cut-off value to classify high and low risks of recurrence. The Kaplan-Meier method was used to draw survival curve and calculate survival time. The Log-Rank test was used for survival analysis. Results:(1) Consistency analysis. The consistency ICC of abdominal fat parameters of visceral fat volume (VFV), subcutaneous fat volume, visceral fat area, and subcutaneous fat area measured by 2 radiologists were 0.84, 1.00, 0.86, and 0.94, respectively. (2) Analysis of factors influencing early tumor recurr-ence after resection of HCC and construction of prediction model. All 132 patients were followed up after surgery for 662(range, 292-1 111)days. During the follow-up, there were 52 patients with non-early recurrence and 80 patients with early recurrence. Results of multivariate analysis showed that VFV was an independent factor influencing early tumor recurrence after resection of HCC ( odds ratio=4.07, 95% confidence interval as 2.27-7.27, P<0.05). The AUC of ROC curve based on VFV was 0.78 (95% confidence interval as 0.70-0.85), and the sensitivity and specificity were 72.2 % and 77.4 %, respectively. The optimal cut-off value of VFV was 1.255 dm 3, and all 132 patients were divided into the high-risk early postoperative recurrence group of 69 cases with VFV >1.255 dm 3, and the low-risk early postoperative recurrence group of 63 cases with VFV ≤1.255 dm 3. The disease-free survival time of the high-risk early postoperative recurrence group and the low-risk early post-operative recurrence group were 414(193,702)days and 1 047(620,1 219)days, showing a significant difference between them ( χ2=31.17, P<0.05). Conclusions:VFV is an independent factor influen-cing early tumor recurrence of HCC after resection. As a quantitative indicator of abdominal fat, it can predict the prognosis of HCC patients.

Objective:To analyze and explore the effects of Huayu Jiedu Decoction on the malignant biological characteristics of multiple myeloma(MM)cells and its molecular mechanism,so as to provide experimental basis and theoretical basis for the alternative therapy of anti-MM in traditional Chinese medicine.Methods:Different concentrations of Huayu Jiedu Decoction were used to intervene myeloma U266 cells.The changes of cell proliferation activity were detected by CCK-8 assay,apoptosis was detected by Annexin V/PI double staining flow cytometry,and apoptosis and protein expression of related signaling pathways were detected by Western blot.Real-time quantitative PCR was used to detect mRNA expression changes of high mobility group protein B1(HMGB1),CXC chemokine receptor 4(CXCR4)and interleukin-6(IL-6).Results:Huayu Jiedu Decoction inhibited the proliferative activity of U266 cells and induced their apoptosis in a concentration and time dependent manner(r=-0.713,r=-0.827).After treatment with Huayu Jiedu Decoction for 48 h,the expressions of anti-apoptotic protein Bcl-2 and survivin were down-regulated,while the expression of pro-apoptotic protein Bax was up-regulated,and the phosphorylation level of TLR4/NF-κB signaling pathway was inhibited.After intervention of Huayu Jiedu decoction,the expressions of HMGB1 and IL-6 mRNA were significantly decreased,while the expression of CXCR4 was not significantly decreased.Conclusion:Huayu Jiedu Decoction can inhibit the proliferative activity of U266 cells and induce programmed death.Its molecular mechanism may be related to regulating the expression of apoptotic proteins,inhibiting the activation of TLR4/NF-κB pathway and down-regulating the expression of HMGB1 and IL-6 mRNA.

Objective:To summarize the clinical features of reversible posterior encephalopathy syndrome(PRES)after allogeneic hematopoietic stem cell transplantation(allo-HSCT)in children.Methods:The clinical data of six children who developed PRES after undergoing allo-HSCT in the Department of Hematology of Wuhan Children's Hospital from June 2016 to December 2022 were retrospectively analyzed,and their clinical characteristics,imaging examination,laboratory examination,and treatment regression were summarized.Results:Among 281 children underwent allo-HSCT,6 cases(2.14％)developed PRES,with a median age of 5.1(1.5-9.7)years old.4 cases underwent related haploidentical donor transplantation,and 2 cases underwent sibling allografting and unrelated donor allografting donor transplantation,respectively.All six children had an acute onset of illness,with clinical manifestations of nausea and vomiting,seizures,psychiatric disorders,visual disturbances.The five cases elevated blood pressure.All children with PRES were treated with oral immunosuppressive drugs during seizures,and 3 cases were combined with different degrees of graft-versus-host disease.Most of the children showed effective improvement in clinical symptoms and imaging after adjusting/discontinuing suspected medications(cyclosporine,etc.)and symptomatic supportive treatments(oral antihypertensive,diazepam for antispasmodic,mannitol to lower cranial blood pressure),and one of them relapsed more than 8 months after the first seizure.Conclusion:PRES is rare after hematopoietic stem cell transplantation in children,and its onset may be related to hypertension,cytotoxic drugs,graft-versus-host disease,etc.Most of them can be recovered after active treatment,but not completely reversible,and the prognosis of those who combined with TMA is poor.

Talents are the main force for the development of traditional Chinese medicine（TCM）， and the construction of TCM talents and the reformation of talent evaluation system are essential to promote the inheritance and innovation of TCM. At present， we are still exploring and developing in the fields of the formulation， implementation and evaluation indicators of TCM talent evaluation system. However， there are shortcomings and difficulties. For instance， insufficient stratification in the evaluation， excessive emphasis on the quantity of achievements， neglecting the quality of the achievements and the actual contribution， imperfect assessment indicators， and the weak characteristics of TCM. Therefore， national ministries and commissions have jointly issued a document requesting to break the four only and set a new standard， in order to promote the construction of a scientific and technological talent evaluation system oriented by innovation value， ability and contribution. For the evaluation of TCM clinical talents， China Association for Science and Technology commissioned China Association of Chinese Medicine to build the China Clinical Cases Library of TCM（CCCL-TCM）， which aims at collecting the most authoritative and representative TCM clinical cases and exploring the advantages of applying clinical cases as masterpiece of achievement in TCM clinical talents evaluation. CCCL-TCM can promote the construction of a talent evaluation system that is more in line with the development characteristics of TCM industry， and to carry out relevant pilot in TCM colleges and institutions across the country in order to promote the reformation of TCM talent evaluation system.

Objective To optimize the oxygen therapy regimens for infants with pulmonary diseases during bronchoscopy.Methods A prospective randomized,controlled,and single-center clinical trial was conducted on 42 infants who underwent electronic bronchoscopy from July 2019 to July 2021.These infants were divided into a nasal cannula(NC)group and a modified T-piece resuscitator(TPR)group using a random number table.The lowest intraoperative blood oxygen saturation was recorded as the primary outcome,and intraoperative heart rate and respiratory results were recorded as the secondary outcomes.Results Compared with the NC group,the modified TPR group had a significantly higher level of minimum oxygen saturation during surgery and a significantly lower incidence rate of hypoxemia(P<0.05).In the modified TPR group,there were 6 infants with mild hypoxemia,2 with moderate hypoxemia,and 1 with severe hypoxemia,while in the NC group,there were 3 infants with mild hypoxemia,5 with moderate hypoxemia,and 9 with severe hypoxemia(P<0.05).The modified TPR group had a significantly lower incidence rate of intraoperative respiratory rhythm abnormalities than the NC group(P<0.05),but there was no significant difference in the incidence rate of arrhythmias between the two groups(P>0.05).Conclusions Modified TPR can significantly reduce the risk of hypoxemia in infants with pulmonary diseases during electronic bronchoscopy,and TPR significantly decreases the severity of hypoxemia and the incidence of respiratory rhythm abnormalities compared with traditional NC.

Objective To investigate the effect of sakubatrotril and valsartan in the treatment of heart failure after percutaneous coronary intervention(PCI)for acute myocardial infarction(AMI).Methods AMI patients who received PCI were randomly divided into treatment group and control group.Both groups were given routine basic treatment such as anti-platelet aggregation,lipidregulation,β-blocker and diuretic tolasemide,while the control group was given enalapril maleate tablet(5 mg,bid).The treatment group was given sacubactril valsartan sodium tablets(5 mg,bid)in addition to basic treatment.The clinical efficacy,myocardial injury markers,cardiac function,ventricular remodeling indexes,vascular endothelial function and cardiovascular adverse events(MACEs)were compared between the two groups.Results The treatment group and the control group were enrolled in 40 patients.After 3 months of treatment,the total effective rate of the treatment group was 95.00％and that of the control group was 80.00％.The difference between the total effective rate of the treatment group and the control group was statistically significant(P＜0.05).After 3 months of treatment,the levels of creatine kinase isoenzyme(CK-MB)in treatment group and control group were(30.23±5.28)and(36.58±7.05)U·L-1,respectively;cardiac troponin Ⅰ(cTnⅠ)were(1.04±0.18)and(1.25±0.31)ng·mL-1,respectively;left ventricular ejection fraction(LVEF)were(40.29±6.32)％and(34.39±5.62)％,and endothelium-dependent diastolic function(FMD)were(15.72±2.83)％and(9.55±2.05)％,respectively;nitric oxide(NO)levels were(47.41±5.85)and(41.28±3.37)μmol·L-1;endothelin-1(ET-1)was(70.53±8.29)and(83.62±10.11)ng·L-1,respectively.Compared with the control group,the above indexes in treatment groups were statistically significant(all P＜0.05).The incidence of MACEs was 10.00％in treatment group and 25.00％in control group,with no statistical significance(P＞0.05).After 3 months of treatment,the incidence of adverse drug reactions in AMI patients in treatment group was 12.50％,and that in control group was 17.50％.There was no statistical significance in the incidence of adverse drug reactions in treatment group compared with control group(P＞0.05).Conclusion Sacubactril valsartan can effectively prevent ventricular remodeling and improve vascular endothelial function in patients with heart failure after PCI.

Objective: To develop a multi-classification orthodontic image recognition system using the SqueezeNet deep learning model for automatic classification of orthodontic image data. Methods: A total of 35 000 clinical orthodontic images were collected in the Department of Orthodontics, Capital Medical University School of Stomatology, from October to November 2020 and June to July 2021. The images were from 490 orthodontic patients with a male-to-female ratio of 49∶51 and the age range of 4 to 45 years. After data cleaning based on inclusion and exclusion criteria, the final image dataset included 17 453 face images (frontal, smiling, 90° right, 90° left, 45° right, and 45° left), 8 026 intraoral images [frontal occlusion, right occlusion, left occlusion, upper occlusal view (original and flipped), lower occlusal view (original and flipped) and coverage of occlusal relationship], 4 115 X-ray images [lateral skull X-ray from the left side, lateral skull X-ray from the right side, frontal skull X-ray, cone-beam CT (CBCT), and wrist bone X-ray] and 684 other non-orthodontic images. A labeling team composed of orthodontic doctoral students, associate professors, and professors used image labeling tools to classify the orthodontic images into 20 categories, including 6 face image categories, 8 intraoral image categories, 5 X-ray image categories, and other images. The data for each label were randomly divided into training, validation, and testing sets in an 8∶1∶1 ratio using the random function in the Python programming language. The improved SqueezeNet deep learning model was used for training, and 13 000 natural images from the ImageNet open-source dataset were used as additional non-orthodontic images for algorithm optimization of anomaly data processing. A multi-classification orthodontic image recognition system based on deep learning models was constructed. The accuracy of the orthodontic image classification was evaluated using precision, recall, F1 score, and confusion matrix based on the prediction results of the test set. The reliability of the model's image classification judgment logic was verified using the gradient-weighted class activation mapping (Grad-CAM) method to generate heat maps. Results: After data cleaning and labeling, a total of 30 278 orthodontic images were included in the dataset. The test set classification results showed that the precision, recall, and F1 scores of most classification labels were 100%, with only 5 misclassified images out of 3 047, resulting in a system accuracy of 99.84%(3 042/3 047). The precision of anomaly data processing was 100% (10 500/10 500). The heat map showed that the judgment basis of the SqueezeNet deep learning model in the image classification process was basically consistent with that of humans. Conclusions: This study developed a multi-classification orthodontic image recognition system for automatic classification of 20 types of orthodontic images based on the improved SqueezeNet deep learning model. The system exhibitted good accuracy in orthodontic image classification.
Humans ; Male ; Female ; Child, Preschool ; Child ; Adolescent ; Young Adult ; Adult ; Middle Aged ; Deep Learning ; Reproducibility of Results ; Radiography ; Algorithms ; Cone-Beam Computed Tomography

With the rapid development of clinical trials, the relevant medical research and molecular detection based on biological samples are closely related to the progress of clinical trials, making the role of biological samples in clinical trials increasingly obvious. The standardized supervision mode of biological samples is an important prerequisite for carrying out high-quality clinical trials. Although the laws and regulations related to clinical trials are becoming more and more perfect, there are still a large number of adverse events related to biological samples, which seriously affects the progress and results of clinical trials, and is one of the important challenges currently facing. Therefore, it is urgent to enhance the supervision of biological samples and improve the management methods of biological samples in clinical trials at this stage. Through in-depth discussion of the current status of biological sample management in clinical trials at home and abroad, this paper analyzed the issues existed during the supervision of biological samples, and supplemented the biological sample management methods by further combing the existing relevant laws and regulations and the Guidelines for the Ethical Management of Biological Samples in Clinical Trials, with a view to providing suggestions and ideas for optimizing the management mode of biological samples in clinical trials.

Objective To investigate the effects of Polygonatum kingianum on wound healing and nuclear factor-erythroid 2-related factor 2(Nrf2)/heme oxygenase-1(HO-1)signaling pathway in diabetic skin injury rats.Methods Diabetic rat models were established and 48 rats were randomly divided into model group,sitagliptin group(10 mg·kg-1),Polygonatum kingianum water extract low dose group(2 g·kg-1),Polygonatum kingianum water extract high dose group(8 g·kg-1)and Polygonatum Kingianum alcohol extract low and high dose group(2 g·kg-1 and 8 g·kg-1).8 in each group;Another control group was set up.After 4 weeks of intragastric administration,all rats established back skin wounds,and continued to be administered for 14 days after operation.At the end of the experiment,the rats were killed,and blood glucose,glycosylated hemoglobin(GHb),plasma levels of H2O2,MDA,SOD,GSH and wound margin skin tissue T-AOC,SOD,MDA levels were measured.The relative expression of Nrf2 and HO-1 mRNA in wound margin skin tissue was measured by fluorescence quantitative method.Results Compared with the model group,the levels of SOD and GSH in plasma and the relative expressions of Nrf2 and HO-1 mRNA in wound margin skin tissue in the low and high dose groups of ethanol extract of Polygonatum kingianum,and the low and high dose groups of water extract of Polygonatum kingianum were increased(P<0.01,P<0.001).The levels of glycosylated hemoglobin(GHb)in plasma and MDA in wound margin tissue were decreased(P<0.05,P<0.01,P<0.001).The level of T-AOC in the high dose group was increased(P<0.01).The SOD level of skin tissue in the low dose group of Polygonatum kingianum water extract was increased(P<0.01),and the level of H2O2 in the low dose group was decreased(P<0.01).Conclusion Polygonatum canaliculatum can up-regulate Nrf2/HO-1 signaling pathway,regulate excessive oxidative stress,and promote wound healing.