This study investigated the mechanism of Danggui Shaoyao Powder(DSP) against mitophagy in rat model of Alzheimer's disease(AD) induced by streptozotocin(STZ) based on PTEN induced putative kinase 1(PINK1)-Parkin signaling pathway. The AD rat model was established by injecting STZ into the lateral ventricle, and the rats were divided into normal group, model group, DSP low-dose group(12 g·kg~(-1)·d~(-1)), DSP medium-dose group(24 g·kg~(-1)·d~(-1)), and DSP high-dose group(36 g·kg~(-1)·d~(-1)). Morris water maze test was used to detect the learning and memory function of the rats, and transmission electron microscopy and immunofluorescence were employed to detect mitophagy. The protein expression levels of PINK1, Parkin, LC3BⅠ/LC3BⅡ, and p62 were assayed by Western blot. Compared with the normal group, the model group showed a significant decrease in the learning and memory function(P<0.01), reduced protein expression of PINK1 and Parkin(P<0.05), increased protein expression of LC3BⅠ/LC3BⅡ and p62(P<0.05), and decreased occurrence of mitophagy(P<0.01). Compared with the model group, the DSP medium-and high-dose groups notably improved the learning and memory ability of AD rats, which mainly manifested as shortened escape latency, leng-thened time in target quadrants and elevated number of crossing the platform(P<0.05 or P<0.01), remarkably activated mitophagy(P<0.05), up-regulated the protein expression of PINK1 and Parkin, and down-regulated the protein expression of LC3BⅠ/LC3BⅡ and p62(P<0.05 or P<0.01). These results demonstrated that DSP might promote mitophagy mediated by PINK1-Parkin pathway to remove damaged mitochondria and improve mitochondrial function, thereby exerting a neuroprotective effect.
Rats ; Animals ; Mitophagy ; Alzheimer Disease/genetics* ; Powders ; Protein Kinases/metabolism* ; Ubiquitin-Protein Ligases/metabolism*

Infection of pregnant women by Asian lineage Zika virus(ZIKV)is more likely to cause microcephaly in infants than African lineage ZIKV.To further clarify the differences in infectivity and stability between Asian and African lineage ZIKV,we selected Asian lineage SZ01 and African lineage MR766 strains for study in glial cells.First,we examined the differ-ence in infectivity between SZ01 and MR766 on U251 and U87 astrocytes,and T98G glioblastoma cells,by using CCK8 assays.Subsequently,we examined the tolerance of SZ01 and MR766 to 37 ℃ and 40 ℃ in the free and infected cell states,by using qRT-PCR or viral plaque assays.Finally,we examined the effect of repeated freezing and thawing on the stability of SZ01 and MR766 with viral plaque assays.ZIKV had higher infectivity in U251 and U87 than T98G,and SZ01 was more infectious to as-trocytes than MR766.SZ01 tolerated 40 ℃ better than MR766 in the free state.SZ01 proliferated faster than MR766 in glial cells at 40 ℃.The tolerance of SZ01 to repeated freezing and thawing was higher than that of MR766.The above findings sug-gest that the infectivity and stability of Asian lineage ZIKV are significantly higher than those of African lineage ZIKV,possi-bly because of its persistent infection and pathogenicity.

Objective To investigate the effects and mechnism of abnormal stress promoting macrophage mobility inhibitory factor(MIF),cyclooxygenase 2(COX2)and prostaglandin E2(PGE2)in the progression of temporomandibular joint osteoarthritis(TMJOA).Methods From January 2020 to December 2021,TMJOA and temporomandibular joint internal derangement(TMJID)patients(30 cases in each group,we divided the TMJOA into group TMJ Ⅰ,Ⅱ,Ⅲ according to the stage)who were admitted to TMJOA special clinic of the First Affiliated Hospital of Xinjiang Medical University and accompanied by abnormal occlusion were collected.The pain score of the occlusal state of the patients was evaluated by visual analogue scale.The expression levels of MIF,COX2 and PGE2 in synovial fluid were detected by ELISA.We used the unilateral anterior crossbite for TMJOA(UAC)rats model(the grouped into:UAC-4 weeks,UAC-8 weeks and UAC-12 weeks group),and control group at the same time(grouped into:Ctrl-4 weeks,Ctrl-8 weeks and Ctrl-12 weeks group),each group had 6 rats.The expression levels of MIF,COX2 and PGE2 in serum and synovial fluid of rats were detected by ELISA.The expression levels of IL-1β,IL-18,MIF,COX2 and PTGER2 in temporomandibular joint of rats were detected by Western blotting.The fluid flow shear stress(FFSS)model of fibroblast-like synovial cells(FLSs)was established,and the mRNA and protein expression levels of above indexes were detected by RT-PCR and Western blotting.Results Visual analogue scale evaluation showed that the pain score of TMJOA Ⅰ and Ⅱ group was significantly higher than that of TMJID(P<0.001).ELISA results showed that the expression levels of MIF,COX2 and PGE2 in synovial fluid in TMJOA group were higher than those in TMJID group(P<0.05),and the expression levels were the highest in TMJOA Ⅱ group.Compared with control group,the expressions of MIF,COX2 and PGE2 in serum and synovial fluid at UAC-4 weeks,8 weeks and 12 weeks were slightly higher,and significantly higher at UAC-8 weeks in rat TMJOA model(P<0.05).In addition,the expression trend of protein levels in temporomandibular joint tissues was similar,which showed higher expression levels of IL-1β,IL-18,MIF,COX2 and PTGER2(P<0.05).In the cell model where FFSS interfered with FLSs,with the increase of FFSS,cell with deformation,incomplete cell membrane and reduced number.Compared with control group,the expression levels of IL-1β,IL-18,MIF,COX2 and PGE2(PTGER2)of FLSs were increased in 1,3,5 and 10 dyn/cm2 intervention groups(P<0.05).Conclusion MIF,COX2 and PGE2 were highly expressed in temporomandibular joint synovial fluid of TMJOA patients with malocclusion.And these three factors were also highly expressed in serum and synovial fluid of UAC rats.The abnormal fluid shear stress promotes the secretion of MIF,COX2 and PGE2 by FLSs to participate in joint microenvironment inflammation and accelerate disease progression.

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

Objective: To investigate the impact of molecular classification and key oncogenes on the oncologic outcomes in patients with endometrial carcinoma (EC) and atypical endometrial hyperplasia (AEH) receiving fertility-preserving treatment. Methods: Patients with EC and AEH undergoing progestin-based fertility-preserving treatment and receiving molecular classification as well as key oncogenes test at Obstetrics and Gynecology Hospital, Fudan University from January 2021 to March 2023 were reviewed. Hysteroscopic lesion resection and endometrial biopsy were performed before initiating hormone therapy and every 3 months during the treatment to evaluate the efficacy. The risk factors which had impact on the treatment outcomes in EC and AEH patients were further analyzed. Results: Of the 171 patients analyzed, the median age was 32 years, including 86 patients with EC and 85 patients with AEH. The distribution of molecular classification was as follows: 157 cases (91.8%) were classified as having no specific molecular profile (NSMP); 9 cases (5.3%), mismatch repair deficient (MMR-d); 3 cases (1.8%), POLE-mutated; 2 cases (1.2%), p53 abnormal. No difference was found in the cumulative 40-week complete response (CR) rate between the patients having NSMP or MMR-d (61.6% vs 60.0%; P=0.593), while the patients having MMR-d had increased risk than those having NSMP to have recurrence after CR (50.0% vs 14.4%; P=0.005). Multi-variant analysis showed PTEN gene multi-loci mutation (HR=0.413, 95%CI: 0.259-0.658; P<0.001) and PIK3CA gene mutation (HR=0.499, 95%CI: 0.310-0.804; P=0.004) were associated with a lower cumulative 40-week CR rate, and progestin-insensitivity (HR=3.825, 95%CI: 1.570-9.317; P=0.003) and MMR-d (HR=9.014, 95%CI: 1.734-46.873; P=0.009) were independent risk factors of recurrence in EC and AEH patients. Conclusions: No difference in cumulative 40-week CR rate is found in the patients having NSMP or MMR-d who received progestin-based fertility-preserving treatment, where the use of hysteroscopy during the treatment might be the reason, while those having MMR-d have a higher risk of recurrence after CR. Oncogene mutation of PTEN or PIK3CA gene might be associated with a lower response to progestin treatment. The molecular profiles help predict the fertility-preserving treatment outcomes in EC and AEH patients.
Pregnancy ; Female ; Humans ; Adult ; Hyperplasia ; Progestins ; Fertility Preservation ; Endometrial Neoplasms/pathology* ; Endometrial Hyperplasia/surgery* ; Treatment Outcome ; Precancerous Conditions ; Fertility ; Class I Phosphatidylinositol 3-Kinases ; Retrospective Studies

Objective: To compare the efficacy and safety of prolonged dual antiplatelet therapy (DAPT>1 year) in patients with stable coronary artery disease (CAD) and diabetes who were event-free at 1 year after percutaneous coronary intervention (PCI) with drug-eluting stent (DES) in a large and contemporary PCI registry. Methods: A total of 1 661 eligible patients were selected from the Fuwai PCI Registry, of which 1 193 received DAPT>1 year and 468 received DAPT ≤1 year. The primary endpoint was major adverse cardiac and cerebrovascular event (MACCE) and Bleeding Academic Research Consortium (BARC) type 2, 3 or 5 bleeding, MACCE was defined as a composite of all-cause death, myocardial infarction or stroke. Multivariate Cox regression analysis and inverse probability of treatment weighting (IPTW) Cox regression analysis were performed. Results: After a median follow-up of 2.5 years, patients who received DAPT>1 year were associated with lower risks of MACCE (1.4% vs. 3.2%; hazard ratio (HR) 0.412, 95% confidence interval (CI) 0.205-0.827) compared with DAPT ≤1 year, which was primarily caused by the lower all-cause mortality (0.1% vs. 2.6%; HR 0.031, 95%CI 0.004-0.236). Risks of cardiac death (0.1% vs. 1.5%; HR 0.051, 95%CI 0.006-0.416) and definite/probable ST (0.3% vs. 1.1%; HR 0.218, 95%CI 0.052-0.917) were also lower in patients received DAPT>1 year than those received DAPT ≤ 1 year. No difference was found between the two groups in terms of BARC type 2, 3, or 5 bleeding (5.3% vs. 4.1%; HR 1.088, 95%CI 0.650-1.821). Conclusions: In patients with stable CAD and diabetes who were event-free at 1 year after PCI with DES, prolonged DAPT (>1 year) provides a substantial reduction in ischemic cardiovascular events, including MACCE, all-cause mortality, cardiac mortality, and definite/probable ST, without increasing the clinically relevant bleeding risk compared with ≤ 1-year DAPT. Further well-designed, large-scale randomized trials are needed to verify the beneficial effect of prolonged DAPT in this population.
Coronary Artery Disease/therapy* ; Diabetes Mellitus, Type 2 ; Drug Therapy, Combination ; Drug-Eluting Stents ; Hemorrhage ; Humans ; Percutaneous Coronary Intervention ; Platelet Aggregation Inhibitors/therapeutic use* ; Risk Assessment ; Treatment Outcome

Objective: To investigate the distribution of HIV-1 genetic subtypes and pretreatment drug resistance (PDR) among men who have sex with men (MSM) from 19 cities of 6 provinces in China. Methods: From April to November 2019, 574 plasma samples of ART-naive HIV-1 infected MSM were collected from 19 cities in Hebei, Shandong, Jiangsu, Zhejiang, Fujian, and Guangdong provinces, total ribonucleic acid (RNA) was extracted and amplified the HIV-1 pol gene region by nested polymerase chain reaction (PCR) after reverse transcription. Then sequences were used to construct a phylogenetic tree to determine genetic subtypes and submitted to the Stanford drug resistance database for drug resistance analysis. Results: A total of 479 samples were successfully amplified by PCR. The HIV-1 genetic subtypes included CRF01_AE, CRF07_BC, B, CRF55_01B, CRF59_01B, CRF65_cpx, CRF103_01B, CRF67_01B, CRF68_01B and unrecognized subtype, which accounted for 43.4%, 36.3%, 6.3%, 5.9%, 0.8%, 0.8%, 0.4%, 0.4%, 0.2% and 5.5%, respectively. The distribution of genetic subtypes among provinces is statistically different (χ²=44.141, P<0.001). The overall PDR rate was 4.6% (22/479), the drug resistance rate of non-nucleoside reverse transcriptase inhibitors, nucleoside reverse transcriptase inhibitors, and protease inhibitors were 3.5% (17/479), 0.8% (4/479) and 0.2% (1/479), respectively. The PDR rate of recent infections was significantly higher than that of long-term infections (χ²=4.634, P=0.031). Conclusions: The HIV-1 genetic subtypes among MSM infected with HIV-1 from 19 cities of 6 provinces in China are diverse, and the distribution of subtypes is different among provinces. The overall PDR rate is low, while the PDR rate of recent infections was significantly higher than that of long-term infections, suggesting the surveillance of PDR in recent infections should be strengthened.
China/epidemiology* ; Cities ; Drug Resistance ; Drug Resistance, Viral/genetics* ; Female ; Genotype ; HIV Infections/epidemiology* ; HIV Seropositivity/drug therapy* ; HIV-1/genetics* ; Homosexuality, Male ; Humans ; Male ; Phylogeny ; Reverse Transcriptase Inhibitors/therapeutic use* ; Sexual and Gender Minorities

Objective To measure the prevalence of mental health symptoms and identify the associated factors among college students at the beginning of coronavirus disease 2019(COVID-19)outbreak in China. Methods We carried out a multi-center cross-sectional study via snowball sampling and convenience sampling of the college students in different areas of China.The rates of self-reported depression,anxiety,and stress and post-traumatic stress disorder(PTSD)were assessed via the 21-item Depression-Anxiety-Stress Scale(DASS-21)and the 6-item Impact of Event Scale-Revised(IES-6),respectively.Covariates included sociodemographic characteristics,health-related data,and information of the social environment.Data pertaining to mental health service seeking were also collected.Multivariate Logistic regression analyses were performed to identify the risk factors. Results A total of 3641 valid questionnaires were collected from college students.At the beginning of the COVID-19 outbreak,535(14.69%)students had negative emotions,among which 402(11.04%),381(10.49%),and 171(4.90%)students had the symptoms of depression,anxiety,and stress,respectively.Meanwhile,1245(34.19%)college students had PTSD.Among the risk factors identified,male gender was associated with a lower likelihood of reporting depression symptoms(AOR=0.755,P=0.037],and medical students were at higher risk of depression and stress symptoms than liberal arts students(AOR=1.497,P=0.003;AOR=1.494,P=0.045).Family support was associated with lower risks of negative emotions and PTSD in college students(AOR=0.918,P<0.001;AOR=0.913,P<0.001;AOR=0.899,P<0.001;AOR=0.971,P=0.021). Conclusions College students were more sensitive to public health emergencies,and the incidence of negative emotions and PTSD was significantly higher than that before the outbreak of COVID-19.More attention should be paid to female college students who were more likely to develop negative emotions.We should strengthen positive and proper propaganda via mass media and help college students understand the situation and impact of COVID-19.Furthermore,we should enhance family support for college students.The government and relevant agencies need to provide appropriate mental health services to the students under similar circumstances to avoid the deterioration of their mental well-being.
COVID-19/epidemiology* ; Cross-Sectional Studies ; Female ; Health Status ; Humans ; Male ; Students/psychology* ; Universities

Ankle Fractures ; Femoral Fractures ; Fracture Fixation, Internal ; Humans ; Patella/surgery* ; Patellar Dislocation/surgery*