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.

ObjectiveTo review the application of the International Classification of Functioning, Disability and Health (ICF) in the field of visual impairment (VI) rehabilitation. MethodsLiterature related to ICF and VI rehabilitation was retrieved from PubMed, Web of Science, CNKI, Wanfang Data, and VIP from inception to May, 2026. Standards and policy documents related to VI published before May, 2026 were retrieved from the National Standards Full-text Disclosure System of the Standardization Administration of China, the China Disabled Persons' Federation and the Chinese Government Portal. Following PRISMA-ScR, based on the three-dimensional ICF framework, an integrated analysis was conducted from the dimensions of theory, practice and policy. ResultsA total of 17 articles involving 2 648 participants, and four domestic VI assessment standards and one guideline were included. At the theoretical level, domestic VI standards showed the highest alignment with the ICF dimension of body functions, while the coverage of the activities and participation dimension was uneven, and the coverage of the environmental factors dimension was the weakest. At the practical level, the ICF was primarily used for developing assessment tools, conducting clinical evaluations, implementing interventions and exploring service models. At the policy level, the overall orientation of domestic special education and medical insurance payment aligned with the ICF concept of whole person rehabilitation, yet specific implementation rules remained to be formulated. ConclusionICF provides a comprehensive and systematic approach for integrating the VI rehabilitation system in China, demonstrating significant application value in standard construction, clinical practice optimization and policy refinement.

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.

As one of the major diseases threatening human health,the early accurate diagnosis and localization of tumors are crucial for formulating effective treatment plans.In recent years,molecular probes(MPs)have made significant progress in the field of biological imaging.With advantages such as high sensitivity,high specificity,and non-invasiveness,they have become a research hotspot in the field of tumor diagnosis and treatment.This paper systematically reviews the applications of MPs in tumor diagnosis and treatment,covering their classifications(such as fluorescent,photoacoustic,chemiluminescent,bioluminescent,and multimodal probes),design strategies(including active/pas-sive targeting mechanisms and the synergistic construction of identification units,imaging units,signal conversion units and treatment units),as well as detection principles.It also focuses on elabo-rating the research progress of MPs based on enzymes,receptors,reactive substances,and tumor microenvironment.Meanwhile,this paper emphasizes the advantages of multifunctional integration and multimodal imaging,and analyzes the challenges faced by MPs in clinical translation(such as biocompatibility and optimization of supporting equipment).It aims to provide ideas for the develop-ment of high-performance MPs and promote the advancement of precise and personalized tumor di-agnosis and treatment.

Epidemiology research has found that ABO blood group and the gene coding ABO glycosyltransferases are associated with many human diseases. The activity of ABO glycosyltransferases varies with different blood types, mediating different glycosylation modifications. The variation in glycosylation level might be the risk factor of specific disease. Based on the literature retrieval and analysis, glycosylation levels regulated by ABO glycosyltransferases mainly affect the ABH blood group antigens and von Willebrand factor (vWF). By modulating key glycosylation components, ABO glycosyltransferases partly determine the activity or expression levels of the ABH antigens and vWF, thereby affecting the development and progression of diseases. Exploring the pathogenic mechanisms of ABO glycosyltransferases can improve the understanding of the molecular pathology of related diseases and provide reference for clinical research and application.

With the development of society and changes in people's lifestyles, diabetes mellitus (DM) has become a major risk factor threatening human health, with its incidence rate increasing year by year. Based on the theory of "excessive fire consumes qi while mild fire generates qi", combined with the pathological mechanism and symptom characteristics of DM complicated with heart failure (HF), it is considered that deficiency and insufficiency of "less fire" and excessive "strong fire" consume qi are the fundamental pathogenesis of the occurrence and development of the two diseases. Phlegm, dampness, blood stasis and water are all from this, which further aggravates the disease. The basic treatment principle of "tonifying qi, activating yang, supporting Shao fire, clearing heat, detoxifying and strengthening fire" was proposed. Combined with the different emphasis of patients' syndromes, the treatment methods of promoting blood circulation and removing blood stasis, diuresis and phlegm were supplemented, in order to improve the clinical symptoms of patients and improve the survival rate.