In recent years, the prevalence of obstructive coronary artery disease has continued to rise. Despite the widespread application of strategies such as intensive pharmacotherapy, coronary artery bypass grafting, or percutaneous coronary intervention, a subset of patients still experience recurrent angina symptoms, which severely impacts their quality of life. For such cases of refractory angina (RA), researchers domestically and internationally have explored therapeutic approaches such as spinal cord stimulation, transmyocardial laser revascularization, and sympathectomy. However, existing studies are largely limited to small-scale clinical trials, and their clinical translation still faces challenges due to insufficient validation of safety and efficacy. Injectable hydrogels, as functional materials with hydrophilic three-dimensional network structures, demonstrate unique advantages in the treatment of RA. They can not only provide mechanical support but also serve as controlled-release carriers for drugs and proteins, and synergize with gene therapy and stem cell therapy to promotemyocardial tissue repair. This article systematically reviews the application prospects of injectable hydrogels in the treatment of RA, aiming to provide insights for future therapeutic strategies.

Collagen-based materials, renowned for their biocompatibility and minimal immunogenicity, serve as exemplary substrates in a myriad of biomedical applications. Collagen-based micro/nanogels, in particular, are valued for their increased surface area, tunable degradation rates, and ability to facilitate targeted drug delivery, making them instrumental in advanced therapeutics and tissue engineering endeavors. Although extensive reviews on micro/nanogels exist, they tend to cover a wide range of biomaterials and lack a specific focus on collagen-based materials. The current review offers an in-depth look into the manufacturing technologies, drug release mechanisms, and biomedical applications of collagen-based micro/nanogels to address this gap. First, we provide an overview of the synthetic strategies that allow the precise control of the size, shape, and mechanical strength of these collagen-based micro/nanogels by controlling the degree of cross-linking of the materials. These properties are crucial for their performance in biomedical applications. We then highlight the environmental responsiveness of these collagen-based micro/nanogels, particularly their sensitivity to enzymes and pH, which enables controlled drug release under various pathological conditions. The discussion then expands to include their applications in cancer therapy, antimicrobial treatments, bone tissue repair, and imaging diagnosis, emphasizing their versatility and potential in these critical areas. The challenges and future perspectives of collagen-based micro/nanogels in the field are discussed at the end of the review, with an emphasis on the translation to clinical practice. This comprehensive review serves as a valuable resource for researchers, clinicians, and scientists alike, providing insights into the current state and future directions of collagen-based micro/nanogel research and development.
Collagen/chemistry* ; Drug Delivery Systems/methods* ; Humans ; Tissue Engineering/methods* ; Animals ; Biocompatible Materials/chemistry*

Objective: To examine the mediating effect of resilience on AIDS-related stress and patient-reported outcome among elderly cases with HIV/AIDS, so as to provide the basis for promoting mental health and improving health outcomes of this population. Methods: From June to July 2024, elderly cases with HIV/AIDS receiving treatment in the infectious diseases department of a tertiary-level hospital in Sichuan Province and undergoing follow-up management at 12 community health service centers in Wuhou District, Chengdu City, Sichuan Province, were selected as study participants using convenience sampling method. Data on demographic information, duration since confirmed diagnosis and the most recent CD4+T lymphocyte count were collected through questionnaire surveys. The Chinese versions of the HIV/AIDS Stress Scale, the Chinese versions of the 10-item Connor-Davidson Resilience Scale, and the Patient-Reported Outcome Scale for Elderly HIV/AIDS Patients were used to assess AIDS-related stress, resilience, and patient-reported outcome, respectively. Structural equation modeling was performed using Mplus 8.3 software to analyze the mediating effect of resilience on AIDS-related stress and patient-reported outcome. The Bootstrap method was employed to test the significance of the mediating effect. Results: A total of 424 elderly HIV/AIDS cases were included, with a mean age of (62.04±8.73) years. Among them, 315 (74.29%) were males and 109 (25.71%) were females. The median scores were 23.00 (interquartile range, 11.00) points for AIDS-related stress, 30.00 (interquartile range, 7.00) points for resilience, and 363.45 (interquartile range, 53.03) points for the total score of patient-reported outcome. Resultsof the mediation effect analysis revealed that AIDS-related stress had a direct negative effect on patient-reported outcome (β=-0.608, 95%CI: -0.742 to -0.465). It also exerted an indirect negative effect on patient-reported outcome through the mediating role of resilience (β=-0.258, 95%CI: -0.364 to -0.158), with the mediating effect accounting for 29.79% of the total effect. Conclusion AIDS-related stress among elderly cases with HIV/AIDS can directly or indirectly negatively affect patient-reported outcome through resilience.

Objective: To investigate the influencing factors of lumbar disc herniation (LDH) among elderly patients with osteoporosis (OP), so as to provide the basis for early prevention of LDH in OP patients. Methods: The patients aged 60 years and above with OP who were treated in the clinic of Beijing Jishuitan Hospital from December 2022 to December 2023 were recruited as the study subjects. The data of demographic and clinical information were collected through the hospital medical record system. LDH was diagnosed according to the LDH Diagnosis and Treatment Guidelines. Factors affecting LDH among elderly patients with OP were identified using a multivariable logistic regression model. Results: A total of 500 patients with OP were included, with 188 males (37.60%) and 312 females (62.40%). The mean age was (69.05±3.28) years, and the course of OP was (6.37±2.11) years. There were 196 patients living alone, accounting for 39.20%. LDH among elderly patients with OP were detected in 78 cases, accourcing for 15.60%. Multivariable logistic regression analysis showed that the patients who were at ages of 70 years and above (OR=1.465, 95%CI: 1.197-1.793), lived alone (OR=1.777, 95%CI: 1.093-2.889), had a history of fracture (OR=1.799, 95%CI: 1.070-3.023) and scored higher in quality of life (OR=1.405, 95%CI: 1.230-1.605) were at higher risks of LDH, while the patients who had a history of taking calcium supplements (OR=0.562, 95%CI: 0.345-0.915) were at lower risks of LDH. Conclusion Age, living situation, history of fracture, history of taking calcium supplements and quality of life were influencing factors for LDH among elderly patients with OP.

Objective:To investigate the diagnostic value of nucleic acid matrix-assisted laser desorption ionization-time of flight mass spectrometry（MALDI-TOF MS）in sputum smear-negative patients with nontuberculous Mycobacterial（NTM）pulmonary disease.Methods:Clinical data of 123 patients suspected of NTM pulmonary disease admitted in Public Health Clinical Center Affiliated to Shandong University between July 2022 and November 2023 were retrospectively analyzed. Bronchoalveolar lavage fluid（BALF）specimens were collected for MALDI-TOF MS assay and MGIT 960 culture. The diagnostic efficacy of MALDI-TOF MS for NTM pulmonary disease in patients with negative sputum smears for acid-fast bacilli was evaluated with receiver operating characteristic（ROC）curve. Statistical analysis was performed using SPSS 26.0 software and MedCalc statistical software.Results:Diagnosis of NTM pulmonary disease was finally confirmed in 66 out of the 123 suspected patients. It took 8 to 24 h for MALDI-TOF MS to identify NTM species and resistance. By MALDI-TOF MS，72 NTM strains were identified，with the Mycobacterium avium complex being the most prevalent（34 strains，47.22%），followed by the Mycobacterium abscessus complex（13 strains，18.06%）；resistance to macrolides was detected in 6 cases，while no resistance to aminoglycosides was found. It took 9 to 45 days for BALF MGIT 960 culture to identify NTM，and took 7 to 15 days for NTM typing and drug sensitivity testing. By BALF MGIT 960 culture，28 NTM strains were identified；and 1 case was found to be resistant to macrolides. Using confirmed diagnosis as the gold standard，MALDI-TOF MS demonstrated higher sensitivity，negative predictive value，and agreement rate compared to MGIT 960 culture（84.85% vs. 42.42%，81.13% vs. 56.32%，80.49% vs. 62.60%， χ2=25.667，8.998，9.664， P<0.05 or <0.01）. The area under ROC curve（AUC）for MALDI-TOF MS was significantly higher than that of MGIT 960 culture（0.801 vs. 0.642， Z=3.300， P=0.001）. Conclusion:Compared to MGIT 960 culture，MALDI-TOF MS exhibits superior diagnostic efficiency in detecting NTM pulmonary disease in patients with acid-fast bacilli smear-negative sputum，with advantage of rapidly identifying NTM species and resistance.

Neck dissection and reconstruction are two important aspects of oral cancer treatment.There are various surgical methods for neck dissection and reconstruction,but all of them are performed by open surgery.This article reports a full endoscopic neck dis-section through the retroauricular hairline approach,the radical resection of the intraoral tumor and the repair of the defect by superfi-cial circumflex iliac artery perforator flap with in situ vascular anastomosis intraorally.The incision is located in the hairline,hidden and invisible,and there is no exposed surgical scar on the neck after surgery.This paper introduces the technique of scarless neck dissection combined with free skin flap repair for the treatment of oral cancer and discusses its advantages and disadvantages.

Objective:To investigate the effect of the virtual simulation system-based teaching method for the experimental course of oral local nerve block anesthesia in improving the effect of traditional teaching methods.Methods:One hundred and eighteen undergraduate dental students were randomly divided into two groups, the experimental group was taught using a virtual simulation-based system, and the control group was taught using traditional teaching. The results of the teaching were comprehensively evaluated through course feedback questionnaires, analysis of theoretical test scores, evaluations of the trainees administering and receiving anesthesia on the current anesthesia, and faculty evaluations of the success of the anesthesia, and t-tests and chi-square tests were performed using SPSS 23.0.Results:There was no significant difference in baseline level between the two groups. The students in the experimental group thought that the learning was more vivid ( t=4.24, P=0.005) and had more self-confidence in local anesthesia ( t=4.99, P<0.001). The students in the experimental group felt less needle tip jitter during injection ( t=2.22, P=0.048) and better contact with the medial surface of the mandible ( t=2.22, P=0.020). The students who received anesthesia reported less pain during injection ( t=1.99, P=0.029) and better anesthesia of the inferior alveolar nerve ( t=3.36, P=0.039) in the experimental group. Teacher assessment revealed that the experimental group had a significantly lower failure rate of inferior alveolar nerve block than the control group ( χ2=4.40, P=0.036). Conclusions:The virtual simulation system can optimize the experimental teaching of oral local nerve block anesthesia and can achieve a satisfactory teaching effect.

Objective:To evaluate the feasibility of using MRI-only simulation images for dose calculation of both photon and proton radiotherapy for nasopharyngeal carcinoma cases.Methods:T 1-weighted MRI images and CT images of 100 patients with nasopharyngeal carcinoma treated with radiotherapy in Cancer Hospital of Chinese Academy of Medical Sciences from January 2020 to December 2021 were retrospectively analyzed. MRI images were converted to generate pseudo-CT images by using deep learning network models. The training set, validation set and test set included 70 cases, 10 cases and 20 cases, respectively. Convolutional neural network (CNN) and cycle-consistent generative adversarial neural network (CycleGAN) were exploited. Quantitative assessment of image quality was conducted by using mean absolute error (MAE) and structural similarity (SSIM), etc. Dose assessment was performed by using 3D-gamma pass rate and dose-volume histogram (DVH). The quality of pseudo-CT images generated was statistically analyzed by Wilcoxon signed-rank test. Results:The MAE of the CNN and CycleGAN was (91.99±19.98) HU and (108.30±20.54) HU, and the SSIM was 0.97±0.01 and 0.96±0.01, respectively. In terms of dosimetry, the accuracy of pseudo-CT for photon dose calculation was higher than that of the proton plan. For CNN, the gamma pass rate (3 mm/3%) of the photon radiotherapy plan was 99.90%±0.13%. For CycleGAN, the value was 99.87%±0.34%. The gamma pass rates of proton radiotherapy plans were 98.65%±0.64% (CNN, 3 mm/3%) and 97.69%±0.86% (CycleGAN, 3 mm/3%). For DVH, the dose calculation accuracy in the photon plan of pseudo-CT was better than that of the proton plan.Conclusions:The deep learning-based model generated accurate pseudo-CT images from MR images. Most dosimetric differences were within clinically acceptable criteria for photon and proton radiotherapy, demonstrating the feasibility of an MRI-only workflow for radiotherapy of nasopharyngeal cancer. However, compared with the raw CT images, the error of the CT value in the nasal cavity of the pseudo-CT images was relatively large and special attention should be paid during clinical application.

Objective To improve the performance of auto-segmentation of prostate target area and organs-at-risk in online magnetic resonance image and enhance the efficiency of magnetic resonance imaging-guided adaptive radiotherapy(MRIgART)for prostate cancer.Methods A retrospective study was conducted on 40 patients who underwent MRIgART for prostate cancer,including 25 in the training set,5 in the validation set,and 10 in the test set.The planning CT images and corresponding contours,along with online MR images,were registered and input into a deep learning network for online MR image auto-segmentation.The proposed method was compared with deformable image registration(DIR)method and single-MR-input deep learning(SIDL)method.Results The overall accuracy of the proposed method for auto-segmentation was superior to those of DIR and SIDL methods,with average Dice similarity coefficients of 0.896 for clinical target volume,0.941 for bladder,0.840 for rectum,0.943 for left femoral head and 0.940 for right femoral head,respectively.Conclusion The proposed method can effectively improve the accuracy and efficiency of auto-segmentation in MRIgART for prostate cancer.