OBJECTIVE: To investigate the effect of zedoarondiol on neovascularization of atherosclerotic (AS) plaque by exosomes experiment. METHODS: ApoE^-/- mice were fed with high-fat diet to establish AS model and treated with high- and low-dose (10, 5 mg/kg daily) of zedoarondiol, respectively. After 14 weeks, the expressions of anti-angiogenic protein thrombospondin 1 (THBS-1) and its receptor CD36 in plaques, as well as platelet activation rate and exosome-derived miR-let-7a were detected. Then, zedoarondiol was used to intervene in platelets in vitro, and miR-let-7a was detected in platelet-derived exosomes (Pexo). Finally, human umbilical vein endothelial cells (HUVECs) were transfected with miR-let-7a mimics and treated with Pexo to observe the effect of miR-let-7a in Pexo on tube formation. RESULTS: Animal experiments showed that after treating with zedoarondiol, the neovascularization density in plaques of AS mice was significantly reduced, THBS-1 and CD36 increased, the platelet activation rate was markedly reduced, and the miR-let-7a level in Pexo was reduced (P<0.01). In vitro experiments, the platelet activation rate and miR-let-7a levels in Pexo were significantly reduced after zedoarondiol's intervention. Cell experiments showed that after Pexo's intervention, the tube length increased, and the transfection of miR-let-7a minics further increased the tube length of cells, while reducing the expressions of THBS-1 and CD36. CONCLUSION Zedoarondiol has the effect of inhibiting neovascularization within plaque in AS mice, and its mechanism may be potentially related to inhibiting platelet activation and reducing the Pexo-derived miRNA-let-7a level.
Animals ; MicroRNAs/genetics* ; Exosomes/drug effects* ; Plaque, Atherosclerotic/genetics* ; Neovascularization, Pathologic/genetics* ; Human Umbilical Vein Endothelial Cells/metabolism* ; Humans ; Blood Platelets/drug effects* ; Apolipoproteins E/deficiency* ; Thrombospondin 1/metabolism* ; CD36 Antigens/metabolism* ; Platelet Activation/drug effects* ; Male ; Mice ; Mice, Inbred C57BL

The rapid development of artificial intelligence (AI), especially generative AI (GenAI), has already brought, and will continue to bring, revolutionary changes to our daily production and life, as well as create new opportunities and challenges for diagnostic and therapeutic practices in the medical field. Haihe Hospital of Tianjin University collaborates with the National Supercomputer Center in Tianjin, Tianjin University, and other institutions to carry out research in areas such as smart healthcare, smart services, and smart management. We have conducted research and development of a full-process disease diagnosis and treatment assistance system based on GenAI in the field of smart healthcare. The development of this project is of great significance. The first goal is to upgrade and transform the hospital's information center, organically integrate it with existing information systems, and provide the necessary computing power storage support for intelligent services within the hospital. We have implemented the localized deployment of three models: Tianhe "Tianyuan", WiNGPT, and DeepSeek. The second is to create a digital avatar of the chief physician/chief physician's voice and image by integrating multimodal intelligent interaction technology. With generative intelligence as the core, this solution provides patients with a visual medical interaction solution. The third is to achieve deep adaptation between generative intelligence and the entire process of patient medical treatment. In this project, we have developed assistant tools such as intelligent inquiry, intelligent diagnosis and recognition, intelligent treatment plan generation, and intelligent assisted medical record generation to improve the safety, quality, and efficiency of the diagnosis and treatment process. This study introduces the content of a full-process disease diagnosis and treatment assistance system, aiming to provide references and insights for the digital transformation of the healthcare industry.
Artificial Intelligence ; Humans ; Delivery of Health Care ; Generative Artificial Intelligence

OBJECTIVES: To investigate the risk factors for neonatal asphyxia in Hubei Enshi Tujia and Miao Autonomous Prefecture and establish a nomogram model for predicting the risk of neonatal asphyxia. METHODS: A retrospective study was conducted with 613 cases of neonatal asphyxia treated in 20 cooperative hospitals in Enshi Tujia and Miao Autonomous Prefecture from January to December 2019 as the asphyxia group, and 988 randomly selected non-asphyxia neonates born and admitted to the neonatology department of these hospitals during the same period as the control group. Univariate and multivariate analyses were used to identify risk factors for neonatal asphyxia. R software (4.2.2) was used to establish a nomogram model. Receiver operator characteristic curve, calibration curve, and decision curve analysis were used to assess the discrimination, calibration, and clinical usefulness of the model for predicting the risk of neonatal asphyxia, respectively. RESULTS: Multivariate logistic regression analysis showed that minority (Tujia), male sex, premature birth, congenital malformations, abnormal fetal position, intrauterine distress, maternal occupation as a farmer, education level below high school, fewer than 9 prenatal check-ups, threatened abortion, abnormal umbilical cord, abnormal amniotic fluid, placenta previa, abruptio placentae, emergency caesarean section, and assisted delivery were independent risk factors for neonatal asphyxia (P<0.05). The area under the curve of the model for predicting the risk of neonatal asphyxia based on these risk factors was 0.748 (95%CI: 0.723-0.772). The calibration curve indicated high accuracy of the model for predicting the risk of neonatal asphyxia. The decision curve analysis showed that the model could provide a higher net benefit for neonates at risk of asphyxia. CONCLUSIONS The risk factors for neonatal asphyxia in Hubei Enshi Tujia and Miao Autonomous Prefecture are multifactorial, and the nomogram model based on these factors has good value in predicting the risk of neonatal asphyxia, which can help clinicians identify neonates at high risk of asphyxia early, and reduce the incidence of neonatal asphyxia.
Infant, Newborn ; Humans ; Male ; Pregnancy ; Female ; Nomograms ; Retrospective Studies ; Cesarean Section ; Risk Factors ; Asphyxia Neonatorum/etiology*

In this study, untargeted metabolomics technology based on ultra-high-performance liquid chromatography-quadrupole/time of flight mass spectrometry (UPLC-Q-TOF-MS/MS) was used to analyze and identify the overall chemical components of Juniperri Caulis et Folium. Chemical markers for the identification of different Juniperri Caulis et Folium species were screened by integrated principal component analysis and partial least squares discriminant analysis. A total of 58 chemical components were detected and 46 of them were identified, including 26 flavonoids, 8 organic acids and their derivatives, 4 phenylpropanoids, 3 terpenoids, and 5 other components. Among them, methylsyringin and ekersenin were identified for the first time. In the positive ion mode, 12 markers were screened, and in the negative ion mode, 13 markers were screened for species identification. In summary, UPLC-Q-TOF-MS/MS metabonomics technology combined with chemometrics method can effectively reveal the chemical composition differences of different Juniperri Caulis et Folium species, and provide reference for its species identification and quality control.

Objectives: To investigate the clinical characteristics and prognoses of patients with anaplastic thyroid carcinoma(ATC), and to explore the value of multi-modality treatment in improving overall survival(OS) of ATC patients. Methods: Medical records including clinicopathological data of patients diagnosed with ATC at Cancer Hospital, Chinese Academy of Medical Sciences between 2001 and 2020 were retrospectively analyzed. The cohort were divided into surgery-only and multi-modality subgroups, and the latter included patients treated with surgery plus radiotherapy and/or medical therapy(including chemotherapy, target therapy and immunotherapy). Univariate survival analysis was conducted through Kaplan-Meier method, and multivariate survival analysis was performed using Cox proportional hazard model. Results: A total of 47 patients were included in the study, including 24 males and 23 females, with a median age of 63 years. After a median follow-up duration of 3.37 months, 42 patients died due to tumor recurrence or progression. The median OS of the cohort was 4.33 months. Univariate survival analysis demonstrated that symptoms of recurrent laryngeal nerve(RLN) involvement, distant metastasis, leukocyte elevation, and treatment modality were significantly associated with OS (P values all<0.05). Multivariate analysis showed that symptoms of RLN involvement(HR=2.49, 95%CI: 1.16-5.32, P=0.019), distant metastasis(HR=2.33, 95%CI: 1.06-5.16, P=0.036), and leukocyte elevation(HR=2.50, 95%CI: 1.16-5.40, P=0.020) were all independent risk factors for OS, while multi-modality therapy significantly prolonged OS compared with surgery alone(HR=0.22, 95%CI: 0.10-0.47, P<0.001). Conclusions: Among ATC patients, absence of symptoms of RLN invasion, normal leukocyte level and absence of distant metastasis at initial diagnosis are all independent protective factors for OS and multi-modality treatment can help to improve the prognosis.
Female ; Male ; Humans ; Middle Aged ; Retrospective Studies ; Thyroid Carcinoma, Anaplastic/therapy* ; Neoplasm Recurrence, Local ; Prognosis ; Thyroid Neoplasms/therapy*

Child ; Humans ; Singapore ; Neoplasms/therapy* ; Medicine

Objective: To evaluate the clinical efficacy of Compound Chamomile and Lidocaine Hydrochloride Gel for postoperative hypospadias in children. METHODS: From January to December 2020, we treated 116 children with distal hypospadias in the Department of Urology, Department of Pediatrics and the Seventh Medical Center of the PLA General Hospital, 58 by primary Snodgrass urethroplasty only (the control group) and the other 58 with Compound Chamomile and Lidocaine Hydrochloride Gel smeared on the penis postoperatively in addition (the trial group). We compared the operation time and postoperative pain score, edema regression and incidence of infection between the two groups, followed by statistical analysis using T test and Chi-square test. RESULTS: All the operations were successfully completed by the same surgeon under general anesthesia. There were no statistically significant differences between the trial and control groups in age (［2.5 ± 0.8］ vs ［2.4 ± 0.6］ yr, P > 0.05) or operation time (［95.6 ± 14.5］ vs ［97.1 ± 15.2］ min, P > 0.05). No incision infection occurred in any of the cases. The pain scores at dressing removal were remarkably lower in the trial than in the control group at 2 hours (1.4 ± 1.0 vs 2.6 ± 1.3, P < 0.05), 24 hours (2.2 ± 1.3 vs 3.9 ± 1.6, P < 0.05), 48 hours (1.2 ± 0.7 vs 1.6 ± 0.9, P < 0.05) and 72 hours after surgery (2.5 ± 0.8 vs 3.7 ± 1.8, P < 0.05). Significantly more cases of edema regression were achieved in the trial than in the control group at 2 weeks postoperatively (35 vs 19, P < 0.05). CONCLUSIONS Compound Chamomile and Lidocaine Hydrochloride Gel can effectively relieve pain, reduce edema and accelerate edema regression after surgery in children with hypospadias, and therefore deserves wide clinical application.、.
Chamomile ; Child, Preschool ; Humans ; Hypospadias/surgery* ; Lidocaine/therapeutic use* ; Male ; Pain, Postoperative/drug therapy* ; Postoperative Period

Coronavirus disease 2019(COVID-19),which is caused by SARS-CoV-2,varies with regard to symptoms and mortality rates among populations.Humoral immunity plays critical roles in SARS-CoV-2 infection and recovery from COVID-19.However,differences in immune responses and clinical features among COVID-19 patients remain largely unknown.Here,we report a database for COVID-19-specific IgG/IgM immune responses and clinical parameters(named COVID-ONE-hi).COVID-ONE-hi is based on the data that contain the IgG/IgM responses to 24 full-length/truncated proteins corresponding to 20 of 28 known SARS-CoV-2 proteins and 199 spike protein peptides against 2360 serum samples collected from 783 COVID-19 patients.In addition,96 clinical parameters for the 2360 serum samples and basic information for the 783 patients are integrated into the database.Furthermore,COVID-ONE-hi provides a dashboard for defining samples and a one-click analysis pipeline for a single group or paired groups.A set of samples of interest is easily defined by adjusting the scale bars of a variety of parameters.After the"START"button is clicked,one can readily obtain a comprehensive analysis report for further interpretation.COVID-ONE-hi is freely available at www.COVID-ONE.cn.

Objective To predict the monthly reported echinococcosis cases in China with the autoregressive integrated mov-ing average(ARIMA)model,so as to provide a reference for prevention and control of echinococcosis. Methods SPSS 24.0 software was used to construct the ARIMA models based on the monthly reported echinococcosis cases of time series from 2007 to 2015 and 2007 to 2014,respectively,and the accuracies of the two ARIMA models were compared. Results The model based on the data of the monthly reported cases of echinococcosis in China from 2007 to 2015 was ARIMA(1,0,0)(1,1, 0)12,the relative error among reported cases and predicted cases was-13.97%,AR(1)=0.367(t=3.816,P<0.001),SAR (1)=-0.328(t=-3.361,P=0.001),and Ljung-Box Q=14.119(df=16,P=0.590).The model based on the data of the monthly reported cases of echinococcosis in China from 2007 to 2014 was ARIMA(1,0,0)(1,0,1)12,the relative error among reported cases and predicted cases was 0.56%,AR(1)=0.413(t=4.244,P<0.001),SAR(1)=0.809(t=9.584, P<0.001),SMA(1)=0.356(t=2.278,P=0.025),and Ljung-Box Q=18.924(df=15,P=0.217).Conclusions The different time series may have different ARIMA models as for the same infectious diseases.It is needed to be further verified that the more data are accumulated,the shorter time of predication is,and the smaller the average of the relative error is.The estab-lishment and prediction of an ARIMA model is a dynamic process that needs to be adjusted and optimized continuously accord-ing to the accumulated data,meantime,we should give full consideration to the intensity of the work related to infectious diseas-es reported(such as disease census and special investigation).

BACKGROUNDManagements of optic neuritis (ON) included high-dose corticosteroids or combined with systemic immunomodulatory agents. It was important to make a correct diagnosis of ON before initiation of treatment. The purpose of the study was to report and analyze the clinical features of retinal diseases in patients who were misdiagnosed as having retrobulbar ON.

METHODSRetrospective review of 26 patients (38 eyes) initially diagnosed with retrobulbar ON but were ultimately diagnosed with retinal or macular diseases. Data obtained from fundus examination, fluorescence fundus angiography (FFA), automated static perimetry, full-field electroretinogram (ffERG), multifocal electroretinogram (mfERG), and optical coherence tomography (OCT) were evaluated.

RESULTSThirty-eight eyes of 26 patients were found to have misdiagnosis of retrobulbar ON, based on normal or slight abnormal fundus findings and abnormal visual evoked potentials (VEP). The mean age of the patients was 34 years and the correct diagnosis of the patients included acute zonal occult outer retinopathy (AZOOR, 15 eyes, 14 patients), occult macular dystrophy (OMD, 8 eyes, 4 patients), cone or cone-rod dystrophy (10 eyes, 5 patients), acute macular neuroretinopathy (AMNR, 3 eyes, 2 patients), and cancer-associated retinopathy (CAR, 2 eyes, 1 patient).

CONCLUSIONWhen attempting to diagnose retrobulbar ON in clinical practice, it is crucial to carry out necessary examinations of the retinal function and morphology to decrease misdiagnosis.

Adult ; Aged ; Electroretinography ; Female ; Humans ; Male ; Middle Aged ; Optic Neuritis ; diagnosis ; Retinal Diseases ; diagnosis ; Retrospective Studies ; Tomography, Optical Coherence