ObjectiveAge-related macular degeneration （AMD） is one of the leading causes of low vision and blindness in people over 50 years old， and dry AMD （dAMD） is one type for which there is currently no clear treatment. On the basis of the diagnosis and clinical characteristics of dAMD in traditional Chinese and Western medicine， this paper evaluated the fitting degrees of existing animal models of dAMD with clinical characteristics according to the evaluation methods of animal models， and put forward suggestions and prospects. MethodsLiterature on animal models of dAMD was searched against database， and the characteristics of the models were assigned according to the diagnosis criteria of diseases and syndromes of traditional Chinese and Western medicine， and the fitting degrees of the models with clinical characteristics were analyzed and evaluated. ResultsAt present， the animal models of dAMD are mainly established targeting complement factors， chemokines， oxidative damage， lipid/glucose metabolism， and natural strains. Most of the models can simulate the major pathological changes of dAMD， showing the fitting degree of 25%-50% with clinical characteristics in Western medicine. However， the evaluation of traditional Chinese medicine （TCM） syndromes， especially the evaluation of secondary syndromes， is missing， and the models present low fitting degrees with the clinical characteristics in TCM. ConclusionExisting animal models of dAMD are mostly established under the guidance of Western diagnostic standards， which reproduce the main disease characteristics of Western medicine and lack observation of TCM syndromes. Future studies can pay attention to the intervention factors and evaluation systems of spleen deficiency Qi deficiency and liver-kidney Yin deficiency syndrome and build the animal model of dAMD with integration of disease and syndrome based on clinical characteristics of traditional Chinese and Western medicine.

ObjectiveAge-related macular degeneration （AMD） is one of the leading causes of low vision and blindness in people over 50 years old， and dry AMD （dAMD） is one type for which there is currently no clear treatment. On the basis of the diagnosis and clinical characteristics of dAMD in traditional Chinese and Western medicine， this paper evaluated the fitting degrees of existing animal models of dAMD with clinical characteristics according to the evaluation methods of animal models， and put forward suggestions and prospects. MethodsLiterature on animal models of dAMD was searched against database， and the characteristics of the models were assigned according to the diagnosis criteria of diseases and syndromes of traditional Chinese and Western medicine， and the fitting degrees of the models with clinical characteristics were analyzed and evaluated. ResultsAt present， the animal models of dAMD are mainly established targeting complement factors， chemokines， oxidative damage， lipid/glucose metabolism， and natural strains. Most of the models can simulate the major pathological changes of dAMD， showing the fitting degree of 25%-50% with clinical characteristics in Western medicine. However， the evaluation of traditional Chinese medicine （TCM） syndromes， especially the evaluation of secondary syndromes， is missing， and the models present low fitting degrees with the clinical characteristics in TCM. ConclusionExisting animal models of dAMD are mostly established under the guidance of Western diagnostic standards， which reproduce the main disease characteristics of Western medicine and lack observation of TCM syndromes. Future studies can pay attention to the intervention factors and evaluation systems of spleen deficiency Qi deficiency and liver-kidney Yin deficiency syndrome and build the animal model of dAMD with integration of disease and syndrome based on clinical characteristics of traditional Chinese and Western medicine.

Objective: To analyze the demographic characteristics, return donation patterns, and risk of adverse reactions among donors temporarily deferred due to blood pressure abnormalities, so as to provide an evidence-based foundation for optimizing pre-donation blood pressure screening strategies, enhancing donor retention, and ensuring blood supply safety. Methods: Data from 2.939 million donor instances were collected through the Information Management System at the Beijing Red Cross Blood Center between January 2015 and August 2025. The analysis specifically focused on the 11 600 instances of donors temporarily deferred due to abnormal blood pressure, examining demographic characteristics (age, and gender) and donation-related features (number of donations, donation site, and type of donation). Further analysis was conducted on the return donation patterns, including the return rate, time interval to return, and the incidence, type, and severity of adverse reactions among returned donors. Results: Distribution of abnormal blood pressure: Among the 11 600 instances of abnormal blood pressure, the prevalence was significantly higher in males (0.48%, 10 111/2 086 909) than in females (0.17%, 1 465/852 090). The 46-55 age group had the highest prevalence (0.88%, 2 925/329 235), and the differences across age groups were statistically significant. The prevalence was, higher among repeat donors (0.41%, 5 242/1 276 452) than first-time donors (0.38%, 6 334/1 662 547). The prevalence at mobile donation sites outside the blood center (0.06%, 350/596 104) was higher than fixed donor centers (0.50%, 10 225/2 052 290) and group donation drives (0.34%, 1 001/290 608). Return donations: A total of 19.49% (2 256 out of 11 576) deferred donors returner and successfully donated. Among these donors, 36.17% (816 out of 2 256) returned within 7 days, while the highest proportion of returns was observed within 31-182 days (25.44%, 574/2 256). A higher return rate was observed among male donors (20.17%, 2 039/1 0111) compared to female donors (14.81%, 217/1 465). The return rate for repeat donors (43.02%, 2 255/5 242) was significantly higher than that of first-time donors (0.02%, 1/6 334). Individual donors showed a higher return rate (20.95%, 1 986/9 479) than group donors (12.88%, 270/2 097), with all differences being statistically significant (P<0.05). The differences in return rates across age groups were not statistically significant (P>0.05). Adverse reactions: The incidence of adverse reactions after return was 0.09% (2/2 256), significantly lower than the overall adverse reaction incidence during the same period (0.20%, 5 981/2 938 999). Both adverse reactions were local reaction (category A1, pain or bruising at the puncture site), with no reported cases of systemic vasovagal reactions (VR) or severe adverse events. Conclusion: The current blood pressure screening criteria may lead to the unnecessary deferral of eligible donors. The risk of adverse reactions is extremely low among returned donors who were deferred for abnormal blood pressure. A relaxation of the blood pressure screening criteria is therefore suggested, coupled with the optimization of donation site environment and blood pressure measurement procedure with reference to expert consensus to enhance donor retention and blood supply safety.

While cranial radiotherapy effectively kills tumor cells and significantly prolongs patient survival, it often leads to progressive cognitive decline. To date, the specific mechanisms underlying radiation-induced cognitive decline have not been fully elucidated, which greatly limits the development of related therapeutic strategies. Therefore, this article provides a comprehensive analysis of post-radiation changes in neurogenesis, neuronal synaptic plasticity, myelin injury plasticity, and parenchymal cells such as microglia in the brain, systematically elucidates the potential mechanisms of radiation-induced cognitive decline, and summarizes feasible therapeutic approaches. These findings provide a solid foundation for developing novel strategies to mitigate radiation-induced cognitive decline.

Ecoflex is a commercial designation for elastomers developed based on the principles of environmental sustainability and flexibility. Various manufacturers offer different types of Ecoflex products with distinct compositions and functions. Among these, the platinum-catalyzed silicone rubber Ecoflex series has demonstrated considerable applicability in various fields of oral medicine due to its excellent flexibility, biocompatibility, stability across a wide temperature range, and tunable mechanical properties. In tissue engineering, it can simulate the mechanical behavior of oral mucosa, and is used in cleft lip surgical training models and preoperative evaluation for temporal bone defect reconstruction. In the field of wearable devices, leveraging its encapsulation protection and flexible characteristics, highly sensitive sensors constructed from Ecoflex can monitor signals such as oral bite force and masticatory muscle activity, thereby aiding in the diagnosis of temporomandibular joint disorders and postoperative evaluation of cleft lip and palate. Moreover, when combined with bio-waste materials, it promotes the functionalization and sustainability of oral wearable devices.In drug delivery systems, its conformability and controlled-release capability address challenges in localized oral drug administration. Designs such as flexible microneedles and temperature-responsive composite systems provide precise solutions for treating periodontitis and oral ulcers. In minimally invasive surgical instruments, its softness enables the development of soft robots and magnetically controlled microfluidic valves, enhancing surgical safety and precision. In the field of oral rehabilitation, Ecoflex soft liner materials, inspired by the suction cup structure of octopus tentacles, improve denture retention. Their low modulus reduces mucosal irritation, ensuring both comfort and durability. Although Ecoflex shows great potential in biomedical applications, it still faces certain challenges, particularly regarding long-term stability after implantation, mechanical fatigue resistance, and microbial colonization, which require further investigation. In the future, with advancements in 3D printing technology, Ecoflex is expected to achieve more precise clinical translation across multiple fields and drive innovation in intelligent biomaterials.

Breast cancer prevention and treatment have become major issues that urgently need to be addressed in the field of global public health. As a key pathological transitional stage in the progression of breast cancer， preneoplastic breast cancer （PBC） carries a significant risk of clinical transformation. Effective intervention in the progression of PBC is of great clinical significance in preventing the occurrence of breast cancer. Pathological studies have shown that abnormal angiogenesis is a key mechanism driving the transformation of PBC into breast cancer. Vascular endothelial growth factor （VEGF）， as a core regulatory molecule that promotes angiogenesis， plays a pivotal role in this process. The malignant transformation of PBC is closely associated with the abnormal activation of the VEGF-mediated pro-angiogenic network. Although modern medicine has achieved certain therapeutic effects through surgery and endocrine therapy， clinical limitations such as invasiveness， drug resistance， and adverse reactions still exist. Recent studies have demonstrated that the VEGF signaling system mediates the phosphatidylinositol 3-kinase-protein kinase B （PI3K/Akt） signaling pathway and the mitogen-activated protein kinase （MAPK） pathway. In addition， the hypoxia-inducible factor-1α （HIF-1α）/VEGF signaling pathway and the delta-like ligand 4 （DLL4）/Notch receptor 1 （Notch1） signaling pathway， together with other pathways， form a complex regulatory network that plays a central role in angiogenesis during PBC. Traditional Chinese medicine （TCM）， characterized by multi-component synergy， multi-pathway regulation， and high safety， demonstrates significant advantages in inhibiting pathological angiogenesis and blocking PBC progression by targeting the VEGF signaling pathway. From the perspective of VEGF pathway regulation， this paper systematically reviews the latest research progress on TCM in inhibiting angiogenesis and intervening in PBC， and discusses its mechanisms and application value in the early prevention and treatment of PBC， with the aim of providing references for optimizing clinical intervention strategies for PBC.

BACKGROUND:With the continuous advancement of medical technology,stem cell therapy has been used to treat a variety of diseases,including amyotrophic lateral sclerosis. OBJECTIVE:To review the research progress of stem cell therapy for amyotrophic lateral sclerosis,and prospect the development trend of this field. METHODS:PubMed,China National Knowledge Infrastructure(CNKI),and WanFang Data were searched for articles published from 1995 to 2024 using the key words"amyotrophic lateral sclerosis,mesenchymal stem cells,neural stem/progenitor cells,pluripotent stem cells."A total of more than 1 700 articles were retrieved,and 58 articles were finally included in this review. RESULTS AND CONCLUSION:Amyotrophic lateral sclerosis is a neurodegenerative disease that affects lower motor neurons in the brainstem and spinal cord and upper motor neurons in the motor cortex.The related research of stem cells in the treatment of amyotrophic lateral sclerosis has become a research hotspot.In this review,we summarize the application of different types of stem cells in amyotrophic lateral sclerosis research,including mesenchymal stem cells,neural stem progenitor cells,and induced pluripotent stem cells,and evaluate the key points of preclinical research such as stem cell source,cell volume,stem cell modification methods,and drug delivery routes,which lays the foundation for the future application of stem cell therapy.

OBJECTIVES: This study aims to explore the current status and risk factors of oral health-related quality of life OHRQoL in patients with mental disorders and provide evidence for effective intervention measures. METHODS: A total of 397 patients diagnosed with mental illness were selected by convenience sampling, and investigation was carried out using general data questionnaire, health literacy in dentistry-14 (HeLD-14), oral health impact profile-14 (OHIP-14), and oral health status checklist. RESULTS: The total score of OHIP-14 in patients with mental disorders was 8(2, 14). The score of HeLD-14 was negatively correlated with the score of OHIP-14 (r=-0.142, P<0.01). The results of multiple linear regression showed that six variables including annual family income, schizophrenia, sweets, frequency of visits to the dentist, dental caries, and missing teeth affected OHRQoL of patients with mental disorders (P<0.05). CONCLUSIONS The poor OHRQoL of psychiatric patients is associated with many factors. Medical personnel should pay attention to their oral health problems and develop targeted oral care programs throughout the course of disease to improve oral health and related quality of life of patients.
Humans ; Quality of Life ; Oral Health ; Mental Disorders ; Risk Factors ; Surveys and Questionnaires ; Male ; Female ; Dental Caries ; Adult ; Middle Aged ; Schizophrenia

OBJECTIVES: This study aimed to construct a risk prediction model for the occurrence of the demora-lization syndrome in patients with oral cancer and provide a scientific basis for the prevention of this syndrome in patients with oral cancer and the development of personalized care programs. METHODS: A total of 486 patients with oral cancer in West China Hospital of Stomatology of Sichuan University and Sun Yat-sen Memorial Hospital of Sun Yat-sen University from 2024 March to July were selected by convenience sampling. We integrated clinical data and evidence from previous studies to identify the key variables affecting the demoralization syndrome in patients with oral cancer. The 486 patients were divided into a training set and a validation set in an 8∶2 ratio. A clinical risk prediction model was established based on the individual data of 365 patients in the development cohort. Through least absolute shrinkage and selection operator (LASSO) regression, a moderate to severe risk prediction model of demoralization syndrome in oral cancer was constructed, and a clinical machine-learning nomogram was constructed. Bootstrap resampling was used for internal validation. The data of 121 patients in the validation cohort were externally validated. RESULTS: The incidence of the demoralization syndrome in patients with oral cancer was 405 cases (83.3%), of which 279 cases (57.4%) were mild, 176 cases (36.2%) were moderate, and 31 cases (6.4%) were severe. The core model, including patient education level, disease understanding, and MDASI-HN score, was used to predict the risk of outcome. Internal validation of the model yielded C statistic of 0.783 6 (95% CI: 0.78-0.87), beta of 0.843 4, and calibration intercept of -0.040 6. Through external validation, the validation set C statistic was 0.80 (95%CI: 0.71-0.87), beta was 0.80, and calibration intercept was -0.08. CONCLUSIONS Our risk prediction mo-del of the demoralization syndrome in patients with oral cancer performed robustly in validation cohorts of different nur-sing environments. The model has good correction and good discrimination and can be used as an evaluation and prediction item at admission.
Humans ; Mouth Neoplasms/complications* ; Male ; Female ; Nomograms ; Middle Aged ; Syndrome ; Aged ; Adult ; Risk Factors ; Risk Assessment ; Machine Learning

ObjectiveTo investigate the clinical features of patients with acute-on-chronic liver failure （ACLF）， and to construct a risk scoring table that can accurately predict the prognosis of patients in the early stage. MethodsA retrospective analysis was performed for the clinical data of 502 patients with ACLF who were admitted to Tangdu Hospital， Air Force Medical University， from January 1， 2010 to December 31， 2020 （training set）， and the influencing factors for 28-day mortality rate were identified. The 69 ACLF patients who were admitted to Tangdu Hospital， Air Force Medical University， from January 1 to December 31， 2021 were enrolled as the validation set. The independent-samples t test or the Mann-Whitney U test was used for comparison of continuous data between two groups， and the chi-square test or the Fisher’s exact test was used for comparison of categorical data between two groups. A univariate Cox regression analysis was used to obtain the early warning indicators associated with the 28-day prognosis of ACLF patients， and variance inflation factors were used to assess multicollinearity among predictors； a multivariate Cox regression analysis was used to construct a risk model for ACLF prognosis （mortality）. A risk scoring table for ACLF prognosis （mortality） was developed based on regression coefficients （β） from the model equation and weight assignments in the nomogram. Internal validation and comparison were performed for the risk model for ACLF prognosis （mortality）， the scoring table for ACLF prognosis （mortality）， and other scoring models （Child-Turcotte-Pugh ［CTP］ score， Model for End-Stage Liver Disease ［MELD］ score， MELD combined with serum sodium concentration ［MELD-Na］ score， and integrated MELD ［iMELD］ score） in the training set， while external validation and comprehensive evaluation of the scoring table and the other scoring models were performed in the validation set. The Nagelkerke’s R² test and the Hosmer-Lemeshow test were used to assess the degree of fitting of the risk model for ACLF prognosis （mortality）， the scoring table for ACLF prognosis （mortality）， and other scoring models， and fitting curves were plotted. C-index was used to assess the discriminatory ability of the scoring table for ACLF prognosis （mortality） and the other scoring models， and the Z-test was used for comparison of C-index between different models. The decision curve analysis was used to compare the clinical benefits of the scoring table for ACLF prognosis （mortality） and the other scoring models. ResultsThe multivariate Cox regression analysis showed that age （hazard ratio ［HR］=1.027， 95% confidence interval ［CI］： 1.015 — 1.039， P<0.001）， hepatic encephalopathy grade （grade 1： HR=2.928， 95%CI： 1.463 — 5.858， P=0.002； grade 2： HR=3.811， 95%CI： 2.078 — 6.988， P<0.001； grade 3： HR=3.916， 95%CI： 1.917 — 8.001， P<0.001； grade 4： HR=6.966， 95%CI： 4.559 — 10.644， P<0.001）， an increase in total bilirubin （TBil） by ≥17.1 μmol/L per day （HR=1.771， 95%CI： 1.248 — 2.513， P=0.001）， creatinine （HR=1.005， 95%CI： 1.004 — 1.006， P<0.001）， neutrophil count （HR=1.092， 95%CI： 1.060 — 1.126， P<0.001）， and international normalized ratio （HR=1.298， 95%CI： 1.187 — 1.418， P<0.001） were independent risk factors associated with the 28-day mortality rate of ACLF patients， and a risk scoring table was constructed for ACLF prognosis （mortality）. The Nagelkerke’s R² test showed that the risk scoring table for ACLF prognosis （mortality） had an R² value of 0.599 in the training set and 0.722 in the validation set， which were higher than the R² values of CTP， MELD， MELD-Na， and iMELD scores. The Hosmer-Lemeshow test showed that the risk scoring table for ACLF prognosis （mortality） had a P value of 0.280 in the training set and 0.788 in the validation set. The C-index analysis showed that the scoring table had a higher C-index than the other scoring models in the validation set （all P<0.001）， as well as a higher C-index than CTP score in the training set （P<0.001）. The decision curve analysis showed that the risk scoring table for ACLF prognosis （mortality） had higher clinical net benefits than the other scoring models. ConclusionCompared with other scoring models currently used in clinical practice， the novel risk scoring table for ACLF prognosis （mortality） constructed based on the six predictive factors of age， hepatic encephalopathy grade， an increase in TBil by ≥17.1 μmol/L per day， creatinine， neutrophil count， and international normalized ratio has a relatively high value in predicting the 28-day prognosis of ACLF patients.