Object:To explore the feasibility of using artificial intelligence for quality control of echocardiographic images.Methods:Retrospectively，5 000 two-dimensional echocardiographic video images within the period from 2021 to 2023 were randomly retrieved from the echocardiography database of Nanjing Drum Tower Hospital，Affiliated Hospital of Medical School，Nanjing University. Among these selected images，1 559 of them were apical views. The physician team formulated the scoring rules，which specifically included four scoring criteria：gain，scaling ratio，cardiac axis angle，and structure. Subsequently，the data were labeled with view classification and image quality scores. The labeled data were further partitioned into the training set（ n = 643），the validation set（ n = 276），and the test set（ n = 640）. The training and validation sets were utilized for constructing the models for view classification and quality assessment，while the test set was employed to verify the models' effectiveness. The view classification module was implemented using the SlowFast model，and the quality assessment module involved algorithms such as ResNet，Video Swin Transformer，SSD，and U-Net. Results:The average accuracy，precision，recall rate and F1 score of the classification model in identifying each apical view were 0.987 1，0.983 0，0.987 1 and 0.984 9 respectively，and the inference time was（333.4 ± 105.4）ms. The average accuracies of the quality assessment module in terms of gain，scaling ratio，cardiac axis angle and display of main structures were 0.915 1，0.928 2，0.938 7 and 0.965 6 respectively，and the overall scoring accuracy was 0.912 7.Conclusions:The echocardiogram quality control system developed in this research can effectively classify and evaluate the quality of two-dimensional images of the apical views in echocardiograms. Moreover，it guarantees the objectivity，timeliness and high-efficiency of quality control，which has reference value for the establishment of the echocardiogram quality control system.

Adipose tissue is a critical energy reservoir in animals and humans, with multifaceted roles in endocrine regulation, immune response, and providing mechanical protection. Based on anatomical location and functional characteristics, adipose tissue can be categorized into distinct types, including white adipose tissue (WAT), brown adipose tissue (BAT), beige adipose tissue, and pink adipose tissue. Traditionally, adipose tissue research has centered on its morphological and functional properties as a whole. However, with the advent of single-cell transcriptomics, a new level of complexity in adipose tissue has been unveiled, showing that even under identical conditions, cells of the same type may exhibit significant variation in morphology, structure, function, and gene expression——phenomena collectively referred to as cellular heterogeneity. Single-cell transcriptomics, including techniques like single-cell RNA sequencing (scRNA-seq) and single-nucleus RNA sequencing (snRNA-seq), enables in-depth analysis of the diversity and heterogeneity of adipocytes at the single-cell level. This high-resolution approach has not only deepened our understanding of adipocyte functionality but also facilitated the discovery of previously unidentified cell types and gene expression patterns that may play key roles in adipose tissue function. This review delves into the latest advances in the application of single-cell transcriptomics in elucidating the heterogeneity and diversity within adipose tissue, highlighting how these findings have redefined the understanding of cell subpopulations within different adipose depots. Moreover, the review explores how single-cell transcriptomic technologies have enabled the study of cellular communication pathways and differentiation trajectories among adipose cell subgroups. By mapping these interactions and differentiation processes, researchers gain insights into how distinct cellular subpopulations coordinate within adipose tissues, which is crucial for maintaining tissue homeostasis and function. Understanding these mechanisms is essential, as dysregulation in adipose cell interactions and differentiation underlies a range of metabolic disorders, including obesity and diabetes mellitus type 2. Furthermore, single-cell transcriptomics holds promising implications for identifying therapeutic targets; by pinpointing specific cell types and gene pathways involved in adipose tissue dysfunction, these technologies pave the way for developing targeted interventions aimed at modulating specific adipose subpopulations. In summary, this review provides a comprehensive analysis of the role of single-cell transcriptomic technologies in uncovering the heterogeneity and functional diversity of adipose tissues.

When radiotherapy is administered, many patients exhibit a reduction in lymphocyte numbers due to the inherent radio-sensitivity of lymphocytes. In particular, they experience a decrease in CD8+ T cells, which may weaken their mediated antitumor immune response. While radiotherapy activates the immune system, it can also lead to a certain degree of immunosuppression. Current research suggests that the formation mechanism of radiation-induced lymphopenia (RIL) involves multiple factors, including increased radiation exposure to lymphocytes and the application of lymphocytotoxic drugs. The adverse impact of RIL on patients’ clinical outcomes can be mitigated, to some extent, by actively optimizing radiotherapy dosimetric parameters to maximally protect lymphocytes.

With the rapid development of competitive sports, the incidence of anterior cruciate ligament (ACL) injury is on the rise. Such injuries may shorten athletes′ career and lead to other long-term adverse consequences. Although athletes generally recover well after ACL reconstruction, many still struggle to return to their pre-injury performance levels. Advances in the understanding of ACL anatomy and injury mechanisms, along with the evolution of surgical techniques and rehabilitation methods, have provided more individualized and tailored options for athletes following ACL injuries. However, there is currently no consensus in China regarding surgical and rehabilitation strategies for competitive athletes aiming to return to sports after ACL injuries. To this end, the Sports Medicine Committee of the Chinese Research Hospital Association and the Editorial Board of the Chinese Journal of Trauma jointly formulated the Expert consensus on surgical treatment and rehabilitation for competitive sports athletes returning to sports after anterior cruciate ligament injury ( version 2025), and presented 14 recommendations covering surgical indications, preoperative rehabilitation, surgical timing, surgical strategies and postoperative rehabilitation strategies, aiming to improve the surgical treatment and rehabilitation system for ACL injuries in competitive athletes and facilitate their return to high-level sports performance after injury.

Nonunion of osteoporotic vertebral fractures (OVF), predominantly affecting the elderly, can lead to intractable pain, vertebral collapse, progressive kyphotic deformity, and neurological impairment, significantly compromising patients′ quality of life. There exists considerable debate on diagnosis and management of OVF, encompassing key issues such as clinical diagnosis and staging criteria for nonunion, surgical indications and procedure selection, and postoperative rehabilitation planning. Currently, there lacks standardized clinical guideline and expert consensus on the diagnosis and management of OVF nonunion in China. To address this gap, Minimally Invasive Surgery Group of Chinese Orthopedic Association, Osteoporosis Committee of Chinese Association of Orthopedic Surgeons, Prevention and Rehabilitation Committee for Osteoporosis of Chinese Association of Rehabilitation Medicine and Minimally Invasive Orthopedic Surgery Branch of China Association for Geriatric Care jointly organized domestic experts in spinal surgery, endocrinology, and rehabilitation to formulate the Clinical guideline for the diagnosis and treatment for nonunion of osteoporotic vertebral fractures ( version 2025), based on existing literature and clinical experience and adhering to principles of scientific rigor and practicality. The guideline provided 13 evidence-based recommendations encompassing diagnosis and treatment of OVF nonunion, aiming to standardize its clinical management.

Acute symptomatic osteoporotic thoracolumbar compression fracture (ASOTLF) can lead to chronic low back pain, kyphosis deformity, pulmonary dysfunction, loss of mobility, and even life-threatening complications. Vertebral augmentation is currently the mainstream treatment method for this condition. In 2019, the Editorial Board of Chinese Journal of Trauma and the Spinal Trauma Group of Orthopedic Surgeons Branch of Chinese Medical Doctor Association collaboratively led the development of Clinical guideline for vertebral augmentation for acute symptomatic osteoporotic thoracolumbar compression fractures. Six years later, with advances in clinical diagnosis and treatment techniques as well as accumulating evidence in related fields, the 2019 guideline requires updating. To this end, the Spinal Trauma Group of Orthopedic Surgeons Branch of Chinese Medical Doctor Association, the Spinal Health Professional Committee of China Human Health Science and Technology Promotion Association, and the Minimally Invasive Orthopedics Professional Committee of Shaanxi Medical Doctor Association have organized experts in the field to develop the Clinical guideline for vertebral augmentation of acute symptomatic osteoporotic thoracolumbar compression fractures ( version 2025) , based on the latest evidence-based medical researches. This guideline incorporates 3 recommendations retained from the 2019 version with updated strength of evidence, along with 12 new recommendations. It provides recommendations from six aspects of diagnosis, pain management, treatment option selection, prevention of postoperative complications, anti-osteoporosis therapy, and postoperative rehabilitation, aiming to provide a reference for standard treatment of vertebral augmentation for ASOTLF in hospitals at all levels.

Objective:To explore the developmental trajectory and influencing factors of self-management behavior among stroke patients.Methods:A total of 478 ischemic stroke patients admitted to the department of neurology of a grade-Ⅲ hospital in Henan Province from July 2023 to June 2024 were selected as the investigation objects. Baseline data of patients were collected using the general situation questionnaire, stroke knowledge questionnaire, stroke health belief scale, stroke self-management behavior scale and self-rating depression scale. The self-management behavior level of patients was assessed at discharge, 1 month, 3 months and 6 months after discharge. Mplus 7.0 software was used to conduct trajectory analysis of stroke patients' self-management behaviors, and multiple Logistic regression analysis was used to analyze the influencing factors associated with the development trajectory types of different stroke self-management behaviors.Results:The self-management behavior scores of stroke patients at discharge, 1 month, 3 months and 6 months after discharge were 206.59(167.59, 230.57), 169.59(129.73, 196.73), 149.82(120.89, 171.48), and 147.14(123.02, 181.64), respectively. Four trajectory categories were described. Category 1 was low-level pattern of initial decrease followed by stabilization, accounting for 16.95%(81/478)( P<0.001, intercept=2.701). Category 2 was low-level pattern of initial decrease followed by increase, accounting for 12.97%(62/478)( P<0.001, intercept =2.696). Category 3 was medium-level pattern of initial decrease followed by stabilization, accounting for 57.11%(273/478)( P<0.001, intercept =3.829). Category 4 was high-level pattern of initial decrease followed by increase, accounting for 12.97%(62/478)( P<0.001, intercept=4.366). The self-management behavior of stroke patients with low level of stroke knowledge, low level of health belief, aged 60 to 70 years old, residence in rural areas and middle school and below education level were more likely to belong to the low level group(all P<0.05). Patients with low depression in the low level group were more likely to be classified as low-level pattern of initial decrease followed by increase( P<0.05). Conclusion:The trajectory category of self-management behavior could be predicted by stroke knowledge level, health belief level, age, place of residence, educational background and depression. Their self-management behavior level may be improved through targeted interventions according to the characteristics of different trajectory categories.

Objective:To investigate levels of endothelin-1(ET-1)and Apclin in patients with hypertrophic car-diomyopathy(HCM)and diagnostic value of their combination with ECG for HCM,and their association with prognosis.Methods:A total of 150 HCM patients admitted in the Second Affiliated Hospital of Xi'an Medical Uni-versity between June 2020 and June 2022 were selected as observation group.According to death during follow-up,the observation group was divided into survival group(n=64)and death group(n=86),and another 100 healthy volunteers who underwent physical examination in our hospital simultaneously were selected as control group.ET-1,Apelin and ECG indexes were compared between above-mentioned groups.Diagnostic value of ET-1,Apelin and ECG combined detection for HCM was analyzed by receiver operating characteristic(ROC)curve.Multivariate Logistic regression was used to analyze influencing factors of death within 6-month follow-up in HCM patients,and nomogram model was established.Results:Compared with participants in control group,those in the observa-tion group had significant higher ET-1[(0.64±0.15)pmol/L vs.(0.39±0.07)pmol/L],QRS wave group(∑QRS)[(23.60±3.96)mm vs.(14.02±1.78)mm],Cornell voltage index(SV3+RaVL)[(2.12±0.40)mV vs.(1.05±0.20)mV]and S-wave on V1 lead+R-wave on V5 lead(SV1+RV5)[(3.88±0.73)mV vs.(2.24±0.34)mV],and significant lower Apelin[(1.10±0.25)pg/ml vs.(1.58±0.17)pg/ml]level(P＜0.001 all).ROC curve indicated that the area under the curve(AUC)of combined detection of above five indexes diagno-sing HCM was 0.933(95％CI 0.895～0.961),significantly higher than any single detection(Z=3.681～6.428,P＜0.001 all),the H-L goodness of fit test showed P=0.056,suggesting that the model was well accepted,and DCA showed that ET-1 and Apelin combined ECG detection model had good clinical application value in HCM.Multivariate Logistic regression indicated that ET-1,∑QRS,SV3+RaV and SV1+RV5 were independent risk factors for death within 6-month in HCM patients(OR=2.617～3.600,P＜0.001 all),and Apelin was its inde-pendent protective factor(OR=0.271,P＜0.001).The nomogram model of HCM patients dying within 6 months was 4.627+0.452 × ET-1+0.536 × Apelin+0.575 × ∑QRS+0.541 × SV3+RaVL+0.352 × SV1+RV5.Conclusion:Serum ET-1 and Apelin levels significantly change in HCM patients,and the combination of ECG detection and both indexes have good performance diagnosing HCM and are independent influential factors for the death of HCM patients within 6 months.

Objective Melatonin has been shown to have neuroprotective effects.This study is aimed at observing the effects of copper deposition on cognitive function in a toxic milk(TX)mouse model of Wilson disease(WD),and investigating the effects and mechanisms of action of Gandou Bushen Decoction(GDBSD)on melatonin synthesis and pineal function in the WD model mice.Methods A total of 30 homozygous TX mice were randomly assigned to 3 groups(n=10 in each group),including a WD group,a GDBSD group,and a dimercaptosuccinic acid(DMSA)group.A total of 10 DL mice were included in the normal control(NC)group.The structure and copper content of pineal gland tissues,oxidative stress and apoptosis-related markers,and serum melatonin levels were evaluated using hematoxylin-eosin(HE)staining,enzyme-linked immunosorbent assay(ELISA),flow cytometry,and Western blot.Results Compared with the NC group,the WD group exhibited decreased learning and cognitive abilities(P＜0.05),damaged pineal gland structure,increased copper content,reactive oxygen species(ROS)levels,and mitochondrial damage rate in the pineal gland(P＜0.01),altered levels of melatonin and oxidative stress-related markers(P＜0.05),upregulated expression levels of pro-apoptotic proteins Bax and Caspase-3,and decreased expression of the anti-apoptotic protein Bcl-2(P＜0.01).After treatment with GDBSD and DMSA,the SIRT3/FOXO3α signaling pathway was activated,the copper content in the pineal gland was reduced,and oxidative stress and apoptosis-related damages were improved,leading to an improvement in learning and memory abilities(P＜0.05).Conclusion GDBSD can alleviate cognitive impairments in WD mice caused by pineal gland copper deposition by inhibiting oxidative stress and apoptosis in the pineal gland.The underlying molecular mechanism is associated with the regulation of the SIRT3/FOXO3α signaling pathway.

Obesity and overweight remain major global public health challenges.In this paper,we examine current applications of digital nutrition technologies in weight management using the scoping review framework of Arksey and O'Malley.Visual recognition technologies have evolved from early-stage food image recognition into more advanced systems,although the vast diversity of food types continues to pose challenges for accuracy and generalizability.The combination of wearable devices and non-wearable sensors has increased the diversity of collected data and improved user comfort.Data integration and analysis tools,such as digital virtual twins,support personalized interventions by integrating multidimensional data.In addition,emerging applications have demonstrated encouraging clinical outcomes.However,existing studies have limitations,such as small sample sizes,high levels of information bias,and low evidence quality.Barriers,such as limited accessibility and high initial costs,further constrain the scalability of digital nutrition tools.Future studies should focus on expanding sample sizes,improving population diversity,and developing effective assessment methods and adjustments for specific target populations.Privacy and data security concerns must also be addressed to ensure safe implementation.Overall,digital nutrition technologies offer a promising approach to weight management,but continuous efforts in research and cost reduction are needed to fully realize their potential in weight management and to promote health for all.