OBJECTIVE: To explore the genotype-phenotype correlation in a Chinese family with structural brain abnormalities due to variant of the TUBB gene. METHODS: A family undergoing prenatal diagnosis at Beijing Obstetrics and Gynecology Hospital in October 2024 was selected as the study subject. Clinical data were collected. Amniotic fluid sample was subjected to chromosomal copy number variation sequencing (CNV-seq). Trio whole-exome sequencing (Trio-WES) was carried out on the amniotic fluid and parental blood samples, and candidate variant was verified by Sanger sequencing. This study was approved by the Medical Ethics Committee of the hospital (Ethics No.: 2023-KY-076-01). RESULTS: Both prenatal ultrasound and fetal MRI showed deviation of brain midline, unilateral lateral ventriculomegaly, and bilateral gyral asymmetry. Trio-WES revealed that the fetus has harbored a maternally derived heterozygous missense variant of the TUBB gene [NM_178014.4: c.155A>G (p.N52S)]. Sanger sequencing confirmed that the woman and a previously terminated fetus both harbored the same variant. Both the proband and two fetuses exhibited similar neuroimaging abnormalities including midline deviation and asymmetrical gyri. Based on the guidelines from the American College of Medical Genetics and Genomics (ACMG), the variant was classified as likely pathogenic (PM2_Supporting+PS2_Moderate+PS3). CONCLUSION The heterozygous c.155A>G (p.N52S) variant was the TUBB gene probably underlay the pathogenesis of the structural brain abnormalities in this family. Above findings have expanded the phenotypic spectrum associated with the variant and facilitated the prenatal diagnosis for this family.
Humans ; Female ; Pregnancy ; Prenatal Diagnosis ; Tubulin/genetics* ; Adult ; Brain/diagnostic imaging* ; Male ; Pedigree ; DNA Copy Number Variations/genetics* ; Exome Sequencing ; Genetic Association Studies ; Magnetic Resonance Imaging

ObjectiveTo delineate imaging findings using an imaging platform and investigate the correlation between MRI characteristics of spinal cord atrophy and clinical diagnosis in children with spinal cord injury (SCI). MethodsImaging data of 150 children with SCI admitted to Beijing Bo'ai Hospital, China Rehabilitation Research Center, from January, 2002 to March, 2024 were collected and imported into the imaging platform. The anteroposterior and transverse diameters of the middle part of the spinal cord at the cross-section with the most severe atrophy were measured, and the relevant indicators of the previous normal spinal cord segment were measured as controls; the radiomic features were extracted. Clinical data of the children including gender, age, cause of injury, sensory level, motor level, spinal cord injury level, injury severity and disease course were collected. ResultsSpinal cord atrophy was identified in 81 cases (54%), among which 78 cases (96%) were American Spinal Injury Association Impairment Scale (AIS) grade A and 3 cases (4%) were AIS grade C. The upper boundary of the spinal cord atrophy site strongly correlated with the injury level, motor level and sensory level (r > 0.8, P < 0.001). ConclusionMore than half of children with SCI may develop secondary spinal cord atrophy, the vast majority of whom suffer from complete spinal cord injury; the upper boundary of spinal cord atrophy is correlated with the injury level.

ObjectiveTo develop a full-process data platform of renal rehabilitation, diagnosis and quality control information. MethodsA hierarchical architectural design was proposed, adhering to clinical pathway models and standardized data protocols. The platform comprehensively covered assessment, intervention, follow-up and quality control for maintenance hemodialysis (MHD) patients. By integrating multidisciplinary resources and standardizing rehabilitation workflows, it delivered standardized and intelligent rehabilitation services. ResultsThe platform achieved standardized and intelligent management of rehabilitation services, effectively improved the physiological function, psychological state and quality of life convenience for MHD patients, while significantly reduced the economic and care burden on patients' families and society. ConclusionThe rehabilitation service model based on a full-process data platform may provide scientific and systematic support for MHD patients.

ObjectiveTo investigate the feasibility， safety， and efficacy of surgery-assisted transjugular intrahepatic portosystemic shunt （SA-TIPS） in the treatment of portal hypertension comorbid with complex portal vein thrombosis， including cavernous transformation of the portal vein （CTPV）. MethodsAn analysis was performed for the data of 36 patients with portal hypertension and complex portal vein thrombosis who underwent SA-TIPS in Beijing Shijitan Hospital， Capital Medical University， from November 2023 to January 2025， including general status， technical data of the surgical process （surgical success rate， puncture times， time of operation， the number of stents used， and the length of shunt）， perioperative complications， and surgical recovery. The change in portal pressure gradient （PPG） after shunt was compared， and the rate of reaching the standard for PPG reduction was calculated， as well as stent patency rate within 1 week after surgery. The paired samples t-test was used for comparison of continuous data between two groups. ResultsAmong the 36 patients， 34 （94.4%） underwent SA-TIPS successfully. The incidence rate of perioperative complications was 16.7% （6/36）， including 3 cases of thoraco-abdominal hemorrhage， 2 cases of intraoperative arrhythmia， and 1 case of incision infection. There was a significant reduction in PPG after SA-TIPS （t=19.85， P<0.01）， and the patients achieving a ≥50% reduction in PPG accounted for 76.5% （26/34）. Imaging reexamination within 1 week showed a shunt patency rate of 100%. ConclusionSA-TIPS has a high technical success rate， a favorable safety profile， and good efficacy in the treatment of portal hypertension comorbid with complex portal vein thrombosis （including CTPV）， and therefore， it holds promise for clinical application.

ObjectiveTo construct an actor-network for integrating physical activity into rehabilitation services based on the World Health Organization Rehabilitation in Health Service System framework and actor-network theory (ANT). MethodsContent analysis was employed using the six building blocks of health service systems as the theoretical framework. Actors related to rehabilitation services were extracted and categorized into a rehabilitation actor pool, while a physical activity actor pool was formed based on four major physical activity scenarios. Actors from both pools were integrated, deduplicated and classified to form a final list of integrated actors. Using ANT, the construction process of the actor network integrating physical activity into rehabilitation was analyzed through the four stages of translation: problematization, interessment, enrollment and mobilization. ResultsA dynamic integration network was constructed, comprising human actors (patients, rehabilitation professionals, researchers, sports coaches, government departments, medical institutions, community organizations and industry media, etc.) and non-human actors (assistive devices, sports infrastructure, smart equipment, information systems, online exercise guidance systems, laws and regulations, strategic documents, and exercise prescriptions, etc.). The study identified maximizing rehabilitation outcomes as the mandatory passage point and elaborated on the critical role of government departments as focal actors in coordinating various stakeholders. ConclusionThe integration of physical activity into rehabilitation services is a dynamic network constructed by diverse actors through a process of translation. ANT provides an operational theoretical framework for cross-departmental governance of rehabilitation policies in China, promotes the spatial expansion of the rehabilitation field, and drives its transformation toward a networked and ecological system. The government needs to play a leading role in facilitating role reconstruction and synergy among heterogeneous actors in both the sports and rehabilitation sectors through mechanism design, to create a bidirectional empowerment mechanism that fosters mutual progress and ensures the sustainable development of integrated services.

BACKGROUND:In recent years,deep learning technologies have been increasingly applied in the field of oral medicine,enhancing the efficiency and accuracy of oral imaging analysis and promoting the rapid development of intelligent oral medicine. OBJECTIVE:To elaborate the current research status,advantages,and limitations of deep learning based on oral imaging in the diagnosis and treatment decision-making of oral diseases,as well as future prospects,exploring new directions for the transformation of oral medicine under the backdrop of deep learning technology. METHODS:PubMed was searched for literature related to deep learning in oral medical imaging published from January 2017 to January 2024 with the search terms"deep learning,artificial intelligence,stomatology,oral medical imaging."According to the inclusion criteria,80 papers were finally included for review. RESULTS AND CONCLUSION:(1)Classic deep learning models include artificial neural networks,convolutional neural networks,recurrent neural networks,and generative adversarial networks.Scholars have used these models in competitive or cooperative forms to achieve more efficient interpretation of oral medical images.(2)In the field of oral medicine,the diagnosis of diseases and the formulation of treatment plans largely depend on the interpretation of medical imaging data.Deep learning technology,with its strong image processing capabilities,aids in the diagnosis of diseases such as dental caries,periapical periodontitis,vertical root fractures,periodontal disease,and jaw cysts,as well as preoperative assessments for procedures such as third molar extraction and cervical lymph node dissection,helping clinicians improve the accuracy and efficiency of decision-making.(3)Although deep learning is promising as an important auxiliary tool for the diagnosis and treatment of oral diseases,it still has certain limitations in model technology,safety ethics,and legal regulation.Future research should focus on demonstrating the scalability,robustness,and clinical practicality of deep learning,and finding the best way to integrate automated deep learning decision support systems into routine clinical workflows.

Cardiovascular disease is the leading cause of death worldwide,with atherosclerosis(AS)-its core pathological manifestation-representing a multifactorial-driven chronic inflammatory disorder.The pathogenesis of AS involves intricate pathological mechanisms including dyslipidemia,inflammatory cascades,and plaque vulnerability,whose complexity necessitates animal models capable of accurately recapitulating specific pathological features.Genetically engineered murine models have emerged as pivotal tools for deciphering AS mechanisms,owing to their genetic manipulability,phenotypic traceability,and molecular conservation with human pathophysiology.This review provides a systematic overview of current methodologies for establishing AS mouse models,with particular emphasis on evaluating the pathological fidelity of dietary induction approaches,genetic modification strategies[notably apolipoprotein E(ApoE)-/-and low density lipoproteins receptor(LDLr)-/-models],and physical injury paradigms.

Objective To investigate the weight loss efficacy and mechanisms of oligopeptide-herbal medicine composite,and to provide new approaches for obesity treatment.Methods Twenty-three SPF female SD rats were randomly divided into control group(n=3)and modeling group(n=20).The control group was fed an ordinary diet for 6 consecutive weeks,and the modeling group was fed a high-fat diet for 6 consecutive weeks to establish a simple obesity rat model.After successful modeling,the modeling group was randomly divided into model group(n=10)and treatment group(n=10).The treatment group started anoint-and-massage therapy with oligopeptide-herbal medicine composite(3 g per rat per time,once a day,20 min each time),which was recorded as day 1.The control group and model group were not treated with oligopeptide-herbal medicine composite but received the same massage,and continued to be fed ordinary feed and high-fat feed respectively.Ten rats in the model group and ten in the treatment group were each divided into 3 groups,with 3,3,and 4 rats in each group.On days 3,6,and 9 after treatment,the rats in the three groups were weighed and cardiac blood collection was performed after isoflurane respiratory anesthesia.After euthanasia by cardiac bloodletting,abdominal subcutaneous adipose tissue(aSAT)and perirenal white adipose tissue(pWAT)samples were collected and weighed.Serum triglycerides(TG)and high-density lipoprotein cholesterol(HDL-C)levels were measured.Image J software was used to measure aSAT thickness and the diameter and area of perirenal white adipocytes and abdominal subcutaneous adipocytes.Immunofluorescence technique was used to observe the number of telocytes(TCs),cell junctions and exosomes per unit area of aSAT.Transmission electron microscopy was used to measure the length of telopodes(Tps)of dermal and subcutaneous TCs in abdominal skin,and to observe the distribution of exosome vesicles,rough endoplasmic reticulum,mitochondria,and cell junctions.Results Compared with the control group,the body weight of rats in the modeling group increased significantly(P＜0.05).Compared with the control group,rats in the model group showed a significant increase in serum TG level,a significant decrease in HDL-C level,and a significant increase in pWAT mass(all P＜0.05).Compared with the model group,the treatment group showed a significantly increased rate of body weight reduction,significantly decreased pWAT mass,significantly decreased serum TG level,and significantly increased HDL-C level(all P＜0.05).Compared with the model group,the treatment group showed significant reductions in aSAT thickness,as well as cell diameter and area in both aSAT and pWAT(all P＜0.05).Compared with the model group,the treatment group showed significantly increased number of TCs per unit area of aSAT,number of exosomes from TCs in aSAT,and Tps length(all P＜0.05).The treatment group showed an increasing trend in the numbers of mitochondria,rough endoplasmic reticulum,and cell junctions in TCs.Conclusion Oligopeptide-herbal medicine composite applied via anoint-and-massage therapy effectively improves obesity-related symptoms such as dyslipidemia and fat accumulation in obese rats by regulating TCs and their intercellular communication.

Objective To investigate the prevalence of metabolic syndrome(MS)and its influencing factors among adult residents in Zhifu district of Yantai city,and to provide data support and scientific basis for relevant departments to formulate policies and measures.Methods A total of 2412 residents in Zhifu district were selected by multi-stage stratified sampling method,and their basic information,personal health status,height,weight,blood pressure,fasting blood glucose,blood lipids and other indicators were collected by questionnaire survey,physical measurement and laboratory examination.The screening of MS was based on the diagnostic criteria of MS recommended by Chinese Diabetes Society(CDS).Results Among the adult residents in Zhifu district,the number of MS patients was 522,with a crude prevalence rate of 21.6%.The prevalence of MS in men was 26.9%higher than that in women(16.9%)(χ2=35.939,P<0.001).With the increase of age,the prevalence rate of MS showed an overall upward trend(linear trend test χ2=150.557,P<0.001).With the increase of education level,the prevalence rate of MS showed an overall downward trend(linear trend test χ2=81.670,P<0.001).The results of multivariate logistic regression analysis further showed that male and age increase were high risk factors for MS;higher education level,unmarried,engaged in static occupation,and increased activity were protective factors for MS.Conclusion The prevalence rate of MS in adult residents in Zhifu district of Yantai is basically equal to the national average level,suggesting that the government and health service institutions at all levels should take health exercise,smoking cessation and alcohol restriction as the entry point for health education and early diagnosis and treatment;meanwhile,targeted interventions should be carried out according to different characteristics of the population.

Objective To provide a scientific basis for cancer prevention and control in Zhifu district and Yantai city by comprehensively describing and analyzing the epidemiological characteristics and disease burden of malignant tumors in Zhifu district,and reduce the disease burden.Methods The data of cancer incidence and mortality collected by the Center for Disease Control and Prevention in Zhifu district from 2010 to 2020 were used to evaluate the incidence and mortality of cancer.The excel template and DismodII software released by WHO were used to calculate the disease burden indexes such as disability-adjusted life year(DALY),years of life lost(YLL),and DALY rate,and the Joinpoint regression model was used to analyze the trend of disease burden,and annual percent change and average annual percent change were calculated.Results The total DALY of malignant tumors in Zhifu district from 2010 to 2020 was 166192.75 person-years,with a DALY rate of 199.02‰.The disease burden of malignant tumors mainly came from YLL,accounting for 74.70%of DALY.Conclusion Zhifu malignant tumor disease burden is on the rise,the relevant departments still need to improve the registration of malignant tumors,improve the knowledge of the population through the way of public welfare propaganda,increase the screening of common malignant tumors,promote the progress of early diagnosis and treatment of cancer,reduce the disease burden brought by early death.To improve the tertiary prevention of malignant tumors.