ObjectiveTo observe clinical effectiveness and safety of lumbar oscillatory manipulation in the treatment of patients with lumbar disc herniation. MethodsThis study recruited 90 lumbar disc herniation patients who were randomly divided into 45 cases each in the treatment group and the control group. The treatment group was given lumbar oscillatory manipulation， while the control group was given traditional lumbar obliquely pulling manipulation， and both groups were treated twice a week for 4 weeks. The Oswestry dysfunction index （ODI） score， lumbar spine mobility， and the absolute values of difference in hardness between the left and right sides of the lumbar erector spinae muscle were compared between groups of patients before treatment and after 2 and 4 weeks of treatment； the shear wave elastic modulus of multifidus muscle and abdominal muscle thickness were compared between groups before treatment and after 4 weeks of treatment； the clinical effectiveness of the treatment was compared， and the safety evaluation was carried out. ResultsCompared with the group before treatment， the ODI scores and the the absolute values of difference in hardness between the left and right sides of the lumbar erector spinae muscle decreased after 2 and 4 weeks treatment in both groups， and the mobility of the lumbar vertebrae in all directions of anterior flexion， posterior extension， left lateral flexion， and right lateral flexion increased； the shear wave elastic modulus of bilateral multifidus muscles of the fourth lumbar vertebral segments decreased， and the thickness of abdominal muscle increased after 4 weeks of treatment in both groups （P＜0.05）. Compared with the control group， the ODI score of the treatment group decreased after 2 weeks of treatment， and the shear wave elastic modulus value of bilateral multifidus muscle of the fourth lumbar vertebral segment decreased and the thickness of abdominal muscle increased after 4 weeks of treatment （P＜0.05）. The total effective rate was 90.48% （38/42） in the treatment group and 71.43% （30/42） in the control group， and the clinical effectiveness of the treatment group was better than that of the control group （P＜0.05）. No adverse events occurred in both groups during the study. ConclusionLumbar oscillatory manipulation is superior to traditional lumbar obliquely pulling manipulation in relieving symptoms of lumbar disc herniation and improving lumbar spine function， which may be related to its improvement in the elasticity of the multifidus muscle.

OBJECTIVE: To elucidate the rules of temporal and spatial variations in distal skin potential at Hegu (LI4) under different stimulation modes by extracting nonlinear characteristic parameters from array multichannel data and adopting multivariate statistical analysis. METHODS: Seven healthy subjects were selected and the surface potential at the left Quchi (LI11) was collected using 14×9 array multichannel electrodes. Using Hegu (LI4) on the left as the stimulation point, four stimulation modes were applied, i.e. being quiescent, point pressing, moxibustion, and manual needling manipulation. Electrical signals were collected for 30 s in each mode, with a 5-min interval between operations, and a sampling frequency of 16 384 Hz. The data was denoised using ensemble empirical mode decomposition (EEMD), and sample entropy (SaEn) features were extracted. Statistical analysis was conducted on these data using factor analysis and multivariate analysis of variance. RESULTS: The SaEn values of most electrode channels were higher under point pressing, moxibustion and manual needling manipulation compared with those under quiescent condition. Under manual needling manipulation, the SaEn value of the electrode channel reached the peak in the first time interval (1-5 s) and it was declining thereafter. Factor analysis showed that the specificity of activation channels was concentrated at the left Quchi (LI11) (loading capacity ≥0.90). Analysis of variance indicated that the significant differences were presented in average sample entropy (SaEn()) values of activation channels among different stimulation modes at Hegu (LI4) (P<0.001), but there was no statistically significant interaction effect between groups and time intervals (P>0.05). CONCLUSION Through nonlinear characteristic parameter extraction and multivariate statistical analysis, we have uncovered the complex temporal and spatial dynamical rules of distal skin potential at Hegu (LI4) under various stimulation modes and successfully identified the specific activation characteristics at Quchi (LI11).
Humans ; Moxibustion ; Acupuncture Points ; Male ; Adult ; Female ; Young Adult ; Acupuncture Therapy/instrumentation*

OBJECTIVE: To explore the pain-location interaction between pressure-sensitive points on the body surface and traditional acupoints in patients with chronic non-specific low back pain (CNLBP) under different disease courses, using Euclidean distance and multivariate statistical analysis. METHODS: A pressure-sensitive point detection was performed on 30 CNLBP patients with varying disease courses. A constant pressure was applied using an FDK20 algometer within a designated lumbar area, a total of 50 points were tested, and the tested points were numbered; the visual analogue scale (VAS) pain score was recorded simultaneously. MatlabR2022a9.12. software was used to extract the positions of pressure-sensitive points, and preprocessing and normalization of point location and VAS scores data were conducted. Under constraint conditions (VAS≥8.0 ∩ Euclidean distance to acupoint≤0.5), the proportion of pressure-sensitive points within the Euclidean distance threshold to each acupoint (PVD_acupoint) was calculated, followed by multivariate statistical analysis. RESULTS: ①Constrained analysis of PVD_acupoint showed that PVD_{Qihaishu (BL24)} and PVD_{Dachangshu (BL25)} were positively correlated with disease course (r=0.55, P<0.01). ②Factor analysis and silhouette analysis revealed that PVD_{Shenshu (BL23)} and PVD_{Dachangshu (BL25)} exhibited trends consistent with disease course progression (P>0.05), with different degree (P<0.01). CONCLUSION The PVD_acupoint value based on Euclidean distance can characterize the pressure sensitivity features of traditional acupoints associated with disease. Multivariate statistical analysis of PVD_acupoint confirms that selecting the acupoint combination of Shenshu (BL23) and Dachangshu (BL25) for CNLBP is associated with the distribution of surrounding pressure-sensitive points and the pathological characteristics of the condition.
Humans ; Acupuncture Points ; Low Back Pain/physiopathology* ; Male ; Female ; Middle Aged ; Adult ; Aged ; Acupuncture Therapy ; Young Adult ; Pressure

Subtype classification of age-related macular degeneration (AMD) based on optical coherence tomography (OCT) images serves as an effective auxiliary tool for clinicians in diagnosing disease progression and formulating treatment plans. To improve the classification accuracy of AMD subtypes, this study proposes a keypoint-based, attention-enhanced residual network (KPA-ResNet). The proposed architecture adopts a 50-layer residual network (ResNet-50) as the backbone, preceded by a keypoint localization module based on heatmap regression to outline critical lesion regions. A two-dimensional relative self-attention mechanism is incorporated into convolutional layers to enhance the representation of key lesion areas. Furthermore, the network depth is appropriately increased and an improved residual module, ConvNeXt, is introduced to enable comprehensive extraction of high-dimensional features and enrich the detail of lesion boundary contours, ultimately achieving higher classification accuracy of AMD subtypes. Experimental results demonstrate that KPA-ResNet achieves significant improvements in overall classification accuracy compared with conventional convolutional neural networks. Specifically, for the wet AMD subtypes, the classification accuracies for inactive choroidal neovascularization (CNV) and active CNV reach 92.8% and 95.2%, respectively, representing substantial improvement over ResNet-50. These findings validate the superior performance of KPA-ResNet in AMD subtype classification tasks. This work provides a high-accuracy, generalizable network architecture for OCT-based AMD subtype classification and offers new insights into integrating attention mechanisms with convolutional neural networks in ophthalmic image analysis.
Tomography, Optical Coherence/methods* ; Humans ; Macular Degeneration/diagnostic imaging* ; Neural Networks, Computer

The spatio-temporal heterogeneity of breast cell subsets forms the fundamental biological basis for physiological development and pathological progression, including tumorigenesis; however, its complex regulatory mechanisms are not yet fully elucidated. With its high-resolution capabilities, single-cell RNA sequencing (scRNA-seq) technology offers a powerful tool for dissecting this cellular heterogeneity. This technology enables the construction of high-precision breast cell atlases, the accurate identification of distinct cell subsets, and the reconstruction of differentiation trajectories from stem/progenitor cells to functional epithelial cells. By resolving the transcriptional regulatory networks that govern cell fate determination, intercellular communication patterns, and dynamic microenvironmental interactions, scRNA-seq has unveiled the molecular foundations of breast development and provided new perspectives on the pathogenesis of related diseases such as breast cancer and macromastia. Furthermore, scRNA-seq demonstrates significant potential for discovering early molecular markers of disease, deciphering tumor heterogeneity, and elucidating mechanisms of therapeutic resistance. The continued application of scRNA-seq for dissecting breast cell heterogeneity, combined with its integration with multi-modal data such as spatial omics, promises to provide critical evidence and new insights for revealing the molecular mechanisms of breast development-related diseases and for formulating precision therapeutic strategies.
Humans ; Single-Cell Analysis/methods* ; Female ; Breast Neoplasms/pathology* ; Sequence Analysis, RNA/methods* ; Breast/cytology*

Somatostatin receptor 1 (SSTR1) is a crucial therapeutic target for various neuroendocrine and oncological disorders. Current SSTR1-targeted treatments, including the first-generation somatostatin analog lanreotide (Lan) and the second-generation analog pasireotide (Pas), show promise but encounter challenges related to selectivity and efficacy. This study presents high-resolution cryo-electron microscopy structures of SSTR1 complexed with Lan or Pas, revealing the distinct mechanisms of ligand-binding and activation. These structures illustrate unique conformational changes in the SSTR1 orthosteric pocket induced by each ligand, which are critical for receptor activation and ligand selectivity. Combined with the biochemical assays and molecular dynamics simulations, our results provide a comparative analysis of binding characteristics within the SSTR family, highlighting subtle differences in SSTR1 activation by Lan and Pas. These insights pave the way for designing next-generation therapies with enhanced efficacy and reduced side effects through improved receptor subtype selectivity.

Objective To develop a Chinese specialist consensus based on the latest evidences,aim-ing to provide objective and scientific guidance regarding the anterior cruciate ligament(ACL)recon-struction using the new-generation artificial ligaments(NGAL).Methods The consensus was found using the modified Delphi method,including two rounds of online expert consultation and one face-to-face meeting.The experts selected were thirty-one sports medicine specialists from the Chinese Society of Sports Medicine and the Chinese Association of Orthopaedic Surgeons,working on university teaching hospitals across 16 provinces and municipalities.On the average,they had 25 years of practice experi-ence,with 17 years in knee surgery and 13 years in ACL reconstruction.Among them,58.1%had performed over 100 ACL surgeries,and 90.3%had published at least one related paper.The draft came into being according to the latest evidence and was converted into a questionnaireusing the Sprague method.The second draft was compiled after two-round online surveys and discussed in a face-to-face meeting.Consensus items were discussed,modified,and voted on during the face-to-face meeting,with consensus reached when the agreement rate was no less than 85%.Results Twenty-six specialists completed the two rounds of questionnaire surveys and attended the face-to-face meeting.Consensus was reached on 5 items with an agreement rate of 100%,while 1 item did not achieve con-sensus with the agreement rate of 19.2%.Conclusion Compared to autografts and allografts,ACL recon-struction with NGAL can achieve faster rehabilitation and quicker recovery,as well as significantly bet-ter joint stability and early functional recovery in the short and mediumterm.After standardized rehabili-tation training,patients typically return to sport within 5 months postoperatively.Therefore,ACL recon-struction with NGAL lays foundation for faster postoperative recovery and is a valuable option for pa-tients seeking early return to sport.

A method capable of retinal vessel segmentation and three-dimensional(3D)reconstruction is proposed for the early diagnosis of diabetic retinopathy.The 3D reconstruction can avoid the misjudgments of blood vessel length,curvature and branch angle after segmentation,which will affect the early diagnosis.IAAnet algorithm for retinal image segmentation combines traditional Unet with Inception V3,atrous spatial pyramid pooling and AttentionGates to reduce information loss and avoid over-fitting,thereby improving the network's ability to extract features.The projection reconstruction method is used to restore the 3D information of blood vessels,and supports the adjustments of brightness and contrast,so that doctors can better observe the real state of blood vessels.The proposed algorithm has an accuracy,recall rate,F1 score,intersection over union and area under ROC curve of 97.68%,96.07%,97.26%,92.79%and 94.00%,respectively.Compared with other networks,IAAnet algorithm exhibits higher segmentation accuracy,and can obtain more vascular information in 3D image after 3D projection reconstruction to assist in the early diagnosis.

Objective:To conduct a visual analysis of the related literature on hydrogel materials that promote wound healing, and to explore the research status, hotspots and future development trends in this field, in order to provide a reference for future research and development.Methods:The Web of Science Core Collection database was searched to obtain relevant literature on the promotion of wound healing by hydrogel materials from January 1, 2010 to October 1, 2023. Bibliometrics method were used to integrate the year, author, publication, number of national and institutional publications, cumulative citation and co-citation frequency and key words of the included literatures. VOSviewer 1.6.19 and CiteSpace 6.2.R4 were used for the literature’s visualization analysis and mapping.Results:A total of 3 863 literatures were included, involving 18 921 authors, and the number of publications in this field showed a significant increasing trend from 2010 to 2023. Zhao YJ, the researcher with the most publications, published 38 articles. There were 557 journals that had collected relevant literatures, and the International Journal of Biological Macromolecules had published the most literature, with a total of 286 publications. A total of 92 countries and 3 307 institutions had conducted research in related fields, with China publishing the most papers. Research institutions mainly come from China and the United States. The literature with the highest cumulative citation frequency was "Alginate: properties and biomedical applications", which reached 4 737 times. The highest cumulative co-citation frequency was the literature published by Qu J, et al in 2018, with a total of 404 times. Keyword co-occurrence, clustering, time line and emergence analysis showed that the early research in this field mainly focused on the process of wound healing and the cellular mechanism at the molecular level, and later gradually focused on the development of precise controlled release function of nanoparticles and antibacterial compounds in hydrogel scaffolds. Conclusion:Research on the application of hydrogel materials in wound healing is attracting increasing international attention. According to the changes of hot words, the future research trend in this field is to develop intelligent hydrogels with regulatory capabilities, wound monitoring, controlled drug delivery and diversified functions.