Myopia is a highly prevalent refractive error worldwide, with scleral remodeling accompanying excessive axial elongation being one of its core pathological features. As the crucial outer layer responsible for maintaining eyeball morphology and biomechanical stability, the sclera plays a decisive role in the pathogenesis and progression of myopia through abnormal alterations in its cellular components, extracellular matrix(ECM)metabolism, and regulatory networks. This review systematically summarizes recent research advances in scleral remodeling. It focuses on elucidating, from cellular and molecular perspectives, the mechanisms by which dysfunction of scleral fibroblasts, dysregulation of ECM metabolism(e.g., decreased collagen content, disrupted MMP-2/TIMP-2 balance), and complex regulatory networks involving multiple signaling pathways such as TGF-β, Wnt/β-catenin, and MAPK drive scleral thinning and reduced mechanical strength. Concurrently, the review provides a comprehensive analysis of the potential roles and existing controversies regarding factors like inflammatory responses and novel regulatory axes(e.g., FOXM1/METTL3/APOA1)in scleral remodeling. Furthermore, it discusses the current research status and application prospects of sclera-targeted intervention strategies(e.g., modulating specific pathways, supplementing exogenous factors), aiming to provide a theoretical basis and directional reference for a deeper understanding of myopia pathogenesis and the development of new prevention and treatment approaches.

AIM:To observe the morphological and structural changes of foveal cone photoreceptors in patients with age-related macular degeneration(ARMD)using adaptive optics scanning laser ophthalmoscopy(AOSLO)and to evaluate its application value in ARMD.METHODS:This was a retrospective cross-sectional study. Patients with ARMD who visited the Department of Ophthalmology, Army Medical Center of PLA, Army Medical University, and underwent AOSLO examination between September 2025 and October 2025 were enrolled as the experimental group(ARMD group). Age-matched individuals who underwent AOSLO examination during the same period and had either age-related cataract or pseudophakia with a normal macular region were selected as the control group(CON group). The AOSLO device was used to image a 2.4°×2.4° area of the fovea, and parameters including parafoveal cone photoreceptor density(PCPD), average inter-cell spacing, cell dispersion, and cell regularity were analyzed.RESULTS:A total of 53 participants(66 eyes)were included, comprising 24 patients(33 eyes)in the ARMD group [comprising 6 participants(6 eyes)in the intermediate ARMD group and 22 participants(27 eyes)in the late ARMD group(4 participants had one eye in the intermediate group and the other in the late ARMD group)], and 29 participants(33 eyes)in the CON group. The ARMD group included 13 males and 11 females, with a mean age of 69.36±9.79 y. The control group included 17 males and 12 females, with a mean age of 64.64±10.31 y. Compared to the CON group, the ARMD group exhibited significantly lower PCPD(31635±4887 vs 38524±3578 cells/mm2, P<0.01)and cell regularity(95.16%±0.75% vs 96.07%±0.67%, P<0.01), along with significantly greater average inter-cell spacing(4.43±0.26 vs 4.22±0.23 μm, P<0.01)and cell dispersion(20.23%±2.72% vs 16.47%±1.85%, P<0.01). Subgroup analysis within the ARMD group revealed that PCPD was significantly lower in the late ARMD subgroup(30831±4826 cells/mm2)compared to the intermediate ARMD subgroup(35254±3534 cells/mm2, P<0.05).CONCLUSION:Photoreceptor pathology in ARMD patients, as assessed by AOSLO, is characterized by decreased PCPD and cell regularity, as well as increased inter-cell spacing and dispersion. These structural alterations are closely associated with photoreceptor cell lesions. AOSLO, as a non-invasive and quantitative imaging modality, demonstrates promising application prospects in the clinical diagnosis of ARMD.

ObjectiveTo analyze the current status, hotspot and development trends of rehabilitation technologies for post-stroke dysphagia (PSD). MethodsLiteratures related to rehabilitation technologies for PSD were retrieved from CNKI, VIP and Web of Science Core Collection from inception to July, 2025. Visualization analysis was conducted using CiteSpace 6.3.R1 and VOSviewer 1.2.20. ResultsA total of 1 265 articles were included, consisting of 794 Chinese and 471 English publications. The annual volume of Chinese literature peaked in 2019 (74 articles) and English literature peaked in 2022 (61 articles). Research hotspots included low-frequency surface neuromuscular electrical stimulation, repetitive transcranial magnetic stimulation, surface electromyography biofeedback and transcranial direct current stimulation. Keyword clustering and timeline analysis indicated that researches evolved from early traditional rehabilitation methods to the diversified and integrated application of combined rehabilitation technologies. ConclusionResearch on rehabilitation technologies for PSD is developing rapidly. Future efforts should focus on researches of multi-technology integration, individualized treatment protocols and long-term efficacy assessments.

ObjectiveTo analyze the current status, hotspot and development trends of rehabilitation technologies for post-stroke dysphagia (PSD). MethodsLiteratures related to rehabilitation technologies for PSD were retrieved from CNKI, VIP and Web of Science Core Collection from inception to July, 2025. Visualization analysis was conducted using CiteSpace 6.3.R1 and VOSviewer 1.2.20. ResultsA total of 1 265 articles were included, consisting of 794 Chinese and 471 English publications. The annual volume of Chinese literature peaked in 2019 (74 articles) and English literature peaked in 2022 (61 articles). Research hotspots included low-frequency surface neuromuscular electrical stimulation, repetitive transcranial magnetic stimulation, surface electromyography biofeedback and transcranial direct current stimulation. Keyword clustering and timeline analysis indicated that researches evolved from early traditional rehabilitation methods to the diversified and integrated application of combined rehabilitation technologies. ConclusionResearch on rehabilitation technologies for PSD is developing rapidly. Future efforts should focus on researches of multi-technology integration, individualized treatment protocols and long-term efficacy assessments.

ObjectiveTo analyze the current status, hotspot and development trends of rehabilitation technologies for post-stroke dysphagia (PSD). MethodsLiteratures related to rehabilitation technologies for PSD were retrieved from CNKI, VIP and Web of Science Core Collection from inception to July, 2025. Visualization analysis was conducted using CiteSpace 6.3.R1 and VOSviewer 1.2.20. ResultsA total of 1 265 articles were included, consisting of 794 Chinese and 471 English publications. The annual volume of Chinese literature peaked in 2019 (74 articles) and English literature peaked in 2022 (61 articles). Research hotspots included low-frequency surface neuromuscular electrical stimulation, repetitive transcranial magnetic stimulation, surface electromyography biofeedback and transcranial direct current stimulation. Keyword clustering and timeline analysis indicated that researches evolved from early traditional rehabilitation methods to the diversified and integrated application of combined rehabilitation technologies. ConclusionResearch on rehabilitation technologies for PSD is developing rapidly. Future efforts should focus on researches of multi-technology integration, individualized treatment protocols and long-term efficacy assessments.

Objective To explore the wearing status and actual noise reduction effect of hearing protectors among noise workers in a typical automobile manufacturing enterprise. Methods In April 2024, an occupational hazard factor testing was carried out in an automobile manufacturing industry, and at the same time, the hearing protection fit test was conducted for noise workers. Intervention and guidance were provided to those who did not pass the minimum standard of baseline PAR. The difference in PAR between baseline and post-intervention was compared, and the effectiveness of hearing protector wearing method training was evaluated. Results The exceeding rate of the company's noise operation post was 50.77% (66/130). The baseline PAR of the subjects with working experience of less than 15 years and wearing hearing protectors throughout noisy work was higher, and the differences were statistically significant (P<0.05). Compared with those with 80dB≤L_{EX, 8h}<85dB, more research subjects with L_{EX, 8h}≥85dB failed baseline PAR (39.13%). After intervention, the PAR of the subjects who did not pass the minimum standard of baseline PRA increased from 2.0 (0.0, 5.3) to 17.0 (14.8, 20.0), and the protection level was significantly improved, and the difference was statistically significant (P<0.01). Conclusion The individual fit test of hearing protector is an important means to evaluate the actual noise reduction level of hearing protector and guide the selection of hearing protection models. Corporate training can help improve the PAR of hearing protectors.

OBJECTIVE To establish the high-performance liquid chromatography （HPLC） fingerprint of Sagina japonica ， and to establish a quantitative analysis of multi-components by single-marker （QAMS） method for simultaneous determination of six componen ts in S. japonica ， aiming to provide references for the quality control of this medicinal herb. METHODS HPLC method was used to establish the fingerprints of 12 batches （No. S1-S12） of S . japonica according to Similarity Evaluation System of Chromatographic Fingerprint of Traditional Chinese Medicine . The similarity evaluation and identification of common peaks were conducted， followed by cluster analysis （CA） and principal component analysis （PCA） for 12 batches of samples. Using vicenin-2 as internal reference， the contents of p-hydroxy cinnamic acid， apigenin-6-C-arabinoside-8-C-glucoside， isoorientin， vitexin and 20-hydroxyecdysone were determined by QAMS method. The results were then compared with those obtained by the external standard method. RESULTS The similarities of HPLC fingerprints for 12 batches of S . japonica ranged from 0.828-0.998. A total of 17 common peaks were calibrated， and 6 common peaks were identified. Specifically， peak 5 was identified as vicenin-2， peak 7 as p-hydroxycinnamic acid， peak 10 as apigenin-6-C-arabinoside-8-C-glucoside， peak 11 as isoorientin， peak 13 as vitexin， and peak 15 as 20-hydroxyecdysone. The results of CA showed that S1-S5， S7 and S9-S11 were clustered into one category， S6 was clustered into one category， and S8 and S12 were clustered into one category. The results of PCA revealed that the accumulative contribution rate of the four main components was 89.430%. The content ranges measured by QAMS method for p-hydroxy cinnamic acid， apigenin-6-C-arabinoside-8-C-glucoside， isoorientin， vitexin and 20-hydroxyecdysone were 0.017 4-0.269 4， 0.568 8-4.240 3， 0.503 2-5.040 3， 0.024 0-0.132 0 and 2.551 3-4.881 1 mg/g， respectively. There was no significant difference in the contents of components measured between QAMS method and the external standard method （ P ＞0.05）. CONCLUSIONS The established HPLC fingerprint and QAMS method can be used for quality evaluation and quality control of S . japonica.

OBJECTIVE To provide reference for medical institutions to establish the record management mode and review rules of off-label use of 5-aminolevulinic acid （ALA） in photodynamic therapy based on the level of evidence. METHODS All ALA-containing outpatient prescriptions in the rational drug use system in our hospital from January 1， 2024 to December 31， 2025 were retrospectively collected. Based on the drug instructions， the current status of off-label use of ALA in photodynamic therapy was identified . The relevant studies in Micromedex， PubMed， CNKI， Wanfang Data and other databases were systematically searched as the relevant evidence-based evidence of ALA off-label use. According to the Off-label Drug Use Filing Standard of the hospital，the evidence-based evaluation method was used to evaluate the evidence-based evidence of ALA off-label use and carry out hierarchical management. RESULTS A total of 1 803 effective prescriptions were included， of which 676 （37.49%） were off-label use， distributed in the dermatology department （564 prescriptions，83.43%） and the plastic surgery department （112 prescriptions，16.57%）. All 676 prescriptions were off-indications medication， involving ten types of skin diseases， primarily including moderate to severe acne （39.94%）， skin warts （25.44%）， Bowen’s disease （11.98%）， and others. According to evidence-based evidence，off-label uses such as moderate to severe acne， actinic keratosis， and Bowen’s disease were managed according to the evidence categoryⅠ orⅡ.The uses of extramammary Paget’s disease and rosacea were managed according to the evidence category Ⅲ.The uses of lichen sclerosus and keloids were managed according to the evidence category Ⅳ.The results of evidence-based evaluation showed that 92.01% of off-label use in our hospital had high-level evidence-based support （ evidence category was gradeⅠ-Ⅱ）. CONCLUSIONS Off-label uses supported by high-level evidence， such as moderate to severe acne， skin warts， and Bowen’s disease， can be managed under filing category Ⅰ or Ⅱ. For the use of lichen sclerosus and keloids， evidence-based evidence is insufficient and should be strictly restricted.The vast majority of ALA off-label use in our hospital has sufficient evidence-based basis.

Objective To investigate the heterogeneity and key molecular features of epithelial cells in triple-negative breast cancer (TNBC), identify prognostic biomarkers, and develop a robust survival prediction model. Methods Using TNBC single-cell transcriptomic data, epithelial cells were extracted, normalized, and subclustered to characterize their molecular signatures and functional differences. High-dimensional weighted gene co-expression network analysis (hdWGCNA) was applied to establish co-expression modules in epithelial cells. Multiple machine learning algorithms were integrated to select key prognostic genes and develop a risk-score model, whose performance was evaluated using receiver operating characteristic (ROC) curves and Kaplan-Meier (K-M) survival analysis. In addition, the immune microenvironment features and potential drug-response differences between the high- and low-risk groups were systematically assessed. Finally, PCR was performed to validate the expression differences of the key genes between tumor and normal tissues. Results We characterized the composition and molecular features of TNBC epithelial subpopulations and identified a TNBC-associated epithelial subset. By integrating hdWGCNA with machine learning approaches, 10 key genes were selected to construct a prognostic model, which effectively stratified patients into distinct survival-risk groups and demonstrated favorable predictive performance in ROC and K-M analyses. Immune profiling revealed the differences in the infiltration levels of seven immune cell types and immune function-related features between the high- and low-risk groups. Drug-sensitivity analysis suggested potential differential responses to eight agents across the risk groups. PCR validation further confirmed the differential expression of the ten signature genes between tumor and normal tissues. Conclusion This study reveals epithelial heterogeneity in TNBC at single-cell resolution and establishes a 10-gene prognostic model, which may facilitate the stratification of TNBC risk and the evaluation of immune characteristics and potential therapeutic strategies.

Antibodies play a critical role in adaptive immune responses and serve as key components in disease diagnosis and treatment. These molecules exhibit dynamic post-translational modifications (PTMs), such as glycosylation and phosphorylation, which regulate their effector functions. To date, nearly all of our knowledge about antibody repertoires has come from B cell receptor (BCR) sequencing (BCR-seq), which facilitates the profiling of clonal composition and the tracing of maturation trajectories within B-cell repertoires. However, circulating antibodies found in bodily fluids—such as serum, saliva, milk, mucosal secretions, and cerebrospinal fluid—exhibit diversities and specificities beyond what BCR-seq alone can predict. Therefore, identifying and quantifying antibody clonotypes at the protein level could enhance diagnosis, prognosis, and treatment strategies in personalized medicine. The critical gap between genotype and phenotype necessitates complementary methodologies that enable the direct characterization of antibody proteins in their native functional states. Mass spectrometry (MS)-based antibody repertoire sequencing (Ab-seq) is currently the only feasible approach for this task and primarily includes database-dependent methods—such as bottom-up, middle-down, and top-down approaches—as well as database-independent de novo sequencing technology. These strategies enable multi-level, high-precision characterization ranging from peptides and domains to intact antibody molecules. Unlike the shotgun strategy commonly used in routine proteomics, obtaining full sequences of all antibodies presents unique challenges. It requires specialized methodological adaptations to address issues related to dynamic range, sequence variation, and sample complexity. This review introduces the technical principles, methodological workflows, and recent applications of various mass spectrometry-based antibody repertoire sequencing (Ab-seq) strategies, with a focus on approaches designed to improve sequence coverage and identification accuracy. These include multi-enzyme digestion, hybrid fragmentation methods, and artificial intelligence-assisted de novo sequencing. By systematically comparing database-dependent techniques—such as bottom-up, middle-down, and top-down approaches—with database-independent de novo sequencing, this review outlines their respective advantages and limitations in terms of sample throughput, sequence coverage, post-translational modification characterization, and data analysis complexity. In addition, this review discusses emerging technological trends, including the integration of ion mobility separation, native mass spectrometry, and artificial intelligence-driven data interpretation, which are expected to enhance the depth and accuracy of antibody characterization. Although current methods continue to face challenges related to sample complexity, dynamic range, and unambiguous sequence variant assignment, we emphasize the importance of integrating BCR-seq and Ab-seq data to construct gene-protein association maps. These maps help validate sequence accuracy and facilitate epitope discovery. This dual-platform strategy helps bridge the gap between genotype and phenotype, thereby enhancing both the resolution and scope of antibody repertoire studies. Such an integrative approach also offers a valuable tool for therapeutic antibody development, structure-function analysis, and precise evaluation of vaccine efficacy.