Guangdong Work Injury Rehabilitation Hospital

Oxidative stress, hypoxia, and chronic inflammation are key factors driving the progression of osteoarthritis (OA). Nanozymes, which exhibit catalytic activity similar to natural enzymes, is able to promote OA repair through antioxidant, hypoxia alleviation, and regulation of the inflammatory microenvironment, demonstrating significant application potential in OA treatment. In this study, ultra-small binary hybridized Se-doped Pt nanoparticles (PS NPs) are loaded into Zr-based metal-organic frameworks (MOFs) and further encapsulated with oxidized chondroitin sulfate (OCS), ultimately yielding a novel nano-platform (OCS@MOF@PS) for effective OA repair. Due to the bimetallic synergistic catalytic effect, PS NPs exhibited multi-enzyme mimetic activities. In vitro and in vivo studies have demonstrated that OCS@MOF@PS effectively scavenged intracellular ROS, alleviated hypoxia in macrophages, and induced their polarization toward the M2 phenotype. This effect may be associated with the regulation of the PI3K/Akt/mTOR signaling pathway. In OA rat model, OCS@MOF@PS significantly attenuated OA joint damage, achieving 78.25 ± 0.28% and 75.70 ± 0.55% reductions in international cartilage repair society (ICRS) score and Mankin score, respectively, at day 56 post-treatment. In conclusion, this nano-platform, with efficient ROS scavenging activity, hypoxia-alleviating capability and excellent biocompatibility, represents a promising therapeutic strategy for OA and other inflammatory diseases fueled by oxidative stress.

BackgroundShoulder pain is a highly prevalent musculoskeletal disorder that severely compromises patients’ quality of life. The Constant-Murley Scale (CMS) is a well-established method for shoulder function evaluation. However, the necessity of clinician involvement constrains its utility in continuous monitoring. Recent improvements in human pose estimation and inertial sensors provide possibilities for automated functional assessment.ObjectiveThis study introduces an automated CMS assessment system that can provide objective measuring results using movement images and inertial sensor data (Mobile Constant) and aims to evaluate its reliability by comparison with standard results from human raters.MethodsThe Mobile Constant system integrated subjective symptom questionnaires, range-of-motion analysis, and strength assessment. Patients presenting with shoulder concerns were enrolled consecutively, with movement images and inertial sensor data collected from each participant. The dataset was structured as follows: patients recruited from February to November 2022 at our hospital formed the training set, those enrolled between December 2022 and February 2023 served as the internal validation set, and patients recruited from April to July 2025 at an independent hospital constituted the external validation set. Gold standard assessments were determined independently by 2 raters using standardized protocols. Six machine learning models (logistic regression, k-nearest neighbors, decision tree, support vector machine, random forest, and adaptive boosting) were developed. The reliability of the system was determined by comparison with human raters using differences, Cohen κ coefficients, and intraclass correlation coefficients (ICCs). Agreement across human raters was also evaluated by comparison between 4 independent clinicians.ResultsData from 141 patients with shoulder pain and stiffness were collected (training set: n=83, 58.9%; internal validation set: n=28; 19.9%; external validation set: n=30, 21.3%). For range-of-motion analysis, the Mobile Constant system showed fair to substantial reliability, achieving κ coefficients ranging from 0.498 to 0.819 and ICCs ranging from 0.898 to 0.956 in the internal validation set. In the external validation set, κ coefficients ranged from 0.198 to 0.699, and ICCs ranged from 0.584 to 0.922. For abduction strength assessment, the k-nearest neighbors model demonstrated substantial reliability, yielding a κ coefficient of 0.707 and an ICC of 0.759 in internal validation and higher agreement in external validation (κ=0.809; ICC=0.906).ConclusionsThe self-reported method for shoulder function evaluation demonstrated substantial agreement with experienced human raters. The proposed system enabled reliable patient-conducted assessment using mobile phone–integrated cameras and inertial sensors and exhibited strong potential for remote monitoring.

<i>Objective</i>: To verify the accuracy and effectiveness of the ICF Upper Limb Vocational Ability Assessment System (ULVAAS) in assessing the occupational capacity of patients with upper extremity injuries. <i>Methods</i>: The ICF-ULVAAS tool was applied to assess the work ability of 119 patients and suggestions for returning to work were given. After discharge, their work status was determined through telephone follow-up for 3 months. The evaluated resumption of work suggestions were compared and analyzed with their actual resumption of work status, in order to verify the predictive accuracy of the ULVAAS. <i>Results</i>: The K coefficient of consistency between the predicted return to work suggestion based on the assessment of upper limb occupational ability and the actual work status of the patient after discharge was 0.322 (p<0.001), with an overall accuracy of 85.71%. The consistency between the therapist's advice on resuming work and the patient's actual resumption of work status is not significantly correlated with their educational background and occupational nature. <i>Conclusion</i>: The ULVAAS based on the ICF can effectively assess the vocational ability of patients with hand and upper extremity injuries, and provide appropriate recommendations for returning to work based on the assessment results.

To explore the therapeutic effects of needle warming moxibustion (NWM) combined with trigger point massage on shoulder function and stress responses in elderly patients with frozen shoulder (FS), providing clinical guidance. A retrospective analysis was conducted on 116 patients with FS treated at the Guangdong Work Injury Rehabilitation Hospital from October 2022 to October 2023. The study included 61 patients who received NWM combined with trigger point massage (research group) and 55 patients who received conventional treatment (control group). Shoulder function and pain were assessed using the Constant-Murley Score (CMS) and the Short-Form McGill Pain Questionnaire (SF-MPQ). Additionally, the time to resume normal daily activities, time to achieve no self-perceived pain, and adverse reactions were documented. Post-treatment stress response indicators and inflammatory factors; adrenaline (ADR), cortisol (Cor), adrenocorticotropic hormone (ACTH), C-reactive protein (CRP), nitric oxide (NO), and prostaglandin E2 (PGE2), were measured. A 3-month follow-up was conducted to record prognostic recurrence. After treatment, the research group showed significantly better shoulder function, reduced pain, and shorter times to resume daily activities and to achieve no self-perceived pain compared to the control group (all P<0.05). Post-treatment levels of ADR, Cor, ACTH, CRP, NO, and PGE2 were also lower in the research group (all P<0.05). The incidence of adverse reactions did not significantly differ between groups (P>0.05); however, the recurrence rate was lower in the research group compared with the control group (P<0.05). NWM combined with trigger point massage effectively improves shoulder function and reduces inflammation and stress responses in elderly patients with FS, supporting its clinical application.

IntroductionIn recent decades, single-cell sequencing technology has developed rapidly and used widely in various fields of life sciences, especially for the detection of immune cells. A bibliometric analysis of single-cell sequencing research work on immune cells published during the 2011-2021 period should provide new insight on the use of single-cell sequencing.MethodsWe screened 1,460 publications on single-cell sequencing on immune cells according to the publication date, article type, language, and country.ReultsThe United States published the first and largest number of articles, while China’s research started relatively late, but ranked second in the number of publications. T cells were the most commonly studied immune cells by single-cell sequencing, followed by mononuclear macrophages. Cancer biology was the most common field of immune cell research by single-cell sequencing. Single-cell sequencing studies using γδ T cells were mainly in the fields of cancer biology and cell development, and focused over time from cell surface receptor to cell function. Through in-depth analysis of the articles on single-cell sequencing of T cells in the oncology field, our analysis found that immunotherapy and tumor microenvironment were the most popular research directions in recent years.DiscussionThe combination of DNA damage repair and immunotherapy seems to provide a new strategy for cancer therapy.