Ulcerative colitis （UC） is a chronic and relapsing inflammatory disease of the intestine. Intestinal fibrosis represents a severe co mplication and a potential risk factor for malignant transformation. Gentianopsis paludosa is one of the traditional Tibetan medicines commonly used for treating gastrointestinal disorders such as damp-heat diarrhea and dysentery. Its chemical composition is complex， encompassing xanthones， flavonoids， terpenoids， and other bioactive components， and it exhibits properties such as clearing heat， eliminating dampness， and detoxifying. This article reviews the research progress on the pharmacodynamic material basis and mechanisms of G. paludosa against UC and associated fibrosis. Findings suggest that its extracts （e.g.， aqueous extract， ethyl acetate extract） and active constituents （e.g.， 1-hydroxy-3，7，8-trimethoxyxanthone， ursolic acid， swertiamarin， luteolin） may inhibit inflammatory cytokines， combat oxidative stress， suppress cell apoptosis， regulate intestinal microbiota and their metabolites， protect the intestinal mucosal barrier， modulate immune responses， and inhibit epithelial-mesenchymal transition， through modulating relevant signaling pathways， such as nuclear factor-kappa B， B-cell lymphoma-2 （Bcl-2）/Bcl-2-associated X protein， and transforming growth factor-β 1 /Smad， thus exerting therapeutic effects against UC and its related fibrosis via these seven aspects.

Salvia miltiorrhiza Bunge （Lamiaceae） is a medicinal plant widely used in Traditional Chinese Medicine for treating cardiovascular and cerebrovascular diseases. Chloroplasts are double-membrane-bound, chlorophyll-containing organelles and responsible for photosynthesis in plant cells. The structural information of chloroplast genomes serves as the foundation for precise exogenous gene insertion, site selection, and chloroplast genome modification. In this study, a comprehensive analysis and comparison of 125 chloroplast genomes from S. miltiorrhiza and 76 congeneric species were conducted, focusing on sequence characteristics, codon usage bias, simple sequence repeats （SSRs）, contraction/expansion of chloroplast genome boundaries, and phylogenetic relationships, which could provide a theoretical foundation for advancing chloroplast genetic engineering, genetic diversity analysis, molecular breeding, and species identification within the Salvia genus.

PURPOSE: Intertrochanteric fracture (ITF) classification is crucial for surgical decision-making. However, orthopedic trauma surgeons have shown lower accuracy in ITF classification than expected. The objective of this study was to utilize an artificial intelligence (AI) method to improve the accuracy of ITF classification. METHODS: We trained a network called YOLOX-SwinT, which is based on the You Only Look Once X (YOLOX) object detection network with Swin Transformer (SwinT) as the backbone architecture, using 762 radiographic ITF examinations as the training set. Subsequently, we recruited 5 senior orthopedic trauma surgeons (SOTS) and 5 junior orthopedic trauma surgeons (JOTS) to classify the 85 original images in the test set, as well as the images with the prediction results of the network model in sequence. Statistical analysis was performed using the SPSS 20.0 (IBM Corp., Armonk, NY, USA) to compare the differences among the SOTS, JOTS, SOTS + AI, JOTS + AI, SOTS + JOTS, and SOTS + JOTS + AI groups. All images were classified according to the AO/OTA 2018 classification system by 2 experienced trauma surgeons and verified by another expert in this field. Based on the actual clinical needs, after discussion, we integrated 8 subgroups into 5 new subgroups, and the dataset was divided into training, validation, and test sets by the ratio of 8:1:1. RESULTS: The mean average precision at the intersection over union (IoU) of 0.5 (mAP50) for subgroup detection reached 90.29%. The classification accuracy values of SOTS, JOTS, SOTS + AI, and JOTS + AI groups were 56.24% ± 4.02%, 35.29% ± 18.07%, 79.53% ± 7.14%, and 71.53% ± 5.22%, respectively. The paired t-test results showed that the difference between the SOTS and SOTS + AI groups was statistically significant, as well as the difference between the JOTS and JOTS + AI groups, and the SOTS + JOTS and SOTS + JOTS + AI groups. Moreover, the difference between the SOTS + JOTS and SOTS + JOTS + AI groups in each subgroup was statistically significant, with all p < 0.05. The independent samples t-test results showed that the difference between the SOTS and JOTS groups was statistically significant, while the difference between the SOTS + AI and JOTS + AI groups was not statistically significant. With the assistance of AI, the subgroup classification accuracy of both SOTS and JOTS was significantly improved, and JOTS achieved the same level as SOTS. CONCLUSION In conclusion, the YOLOX-SwinT network algorithm enhances the accuracy of AO/OTA subgroups classification of ITF by orthopedic trauma surgeons.
Humans ; Hip Fractures/diagnostic imaging* ; Orthopedic Surgeons ; Algorithms ; Artificial Intelligence

Radiochemotherapy-induced oral mucositis (OM) is a common oral complication in patients with tumors following head and neck radiotherapy or chemotherapy. Erosion and ulcers are the main features of OM that seriously affect the quality of life of patients and even the progress of tumor treatment. To date, differences in clinical prevention and treatment plans for OM have been noted among doctors of various specialties, which has increased the uncertainty of treatment effects. On the basis of current research evidence, this expert consensus outlines risk factors, clinical manifestations, clinical grading, ancillary examinations, diagnostic basis, prevention and treatment strategies and efficacy indicators for OM. In addition to strategies such as basic oral care, anti-inflammatory and analgesic agents, anti-infective agents, pro-healing agents, and photobiotherapy recommended in previous guidelines, we also emphasize the role of traditional Chinese medicine in OM prevention and treatment. This expert consensus aims to provide references and guidance for dental physicians and oncologists in formulating strategies for OM prevention, diagnosis, and treatment, standardizing clinical practice, reducing OM occurrence, promoting healing, and improving the quality of life of patients.
Humans ; Chemoradiotherapy/adverse effects* ; Consensus ; Risk Factors ; Stomatitis/etiology*

Progressive pulmonary fibrosis (PPF) is a progressive and lethal condition with few effective treatment options. Improvements in quality of life for patients with PPF remain limited even while receiving treatment with approved antifibrotic drugs. Traditional Chinese medicine (TCM) has the potential to improve cough, dyspnea and fatigue symptoms of patients with PPF. TCM treatments are typically diverse and individualized, requiring urgent development of efficient and precise design strategies to identify effective treatment options. We designed an innovative Bayesian adaptive two-stage trial, hoping to provide new ideas for the rapid evaluation of the effectiveness of TCM in PPF. An open-label, two-stage, adaptive Bayesian randomized controlled trial will be conducted in China. Based on Bayesian methods, the trial will employ response-adaptive randomization to allocate patients to study groups based on data collected over the course of the trial. The adaptive Bayesian trial design will employ a Bayesian hierarchical model with "stopping" and "continuation" criteria once a predetermined posterior probability of superiority or futility and a decision threshold are reached. The trial can be implemented more efficiently by sharing the master protocol and organizational management mechanisms of the sub-trial we have implemented. The primary patient-reported outcome is a change in the Leicester Cough Questionnaire score, reflecting an improvement in cough-specific quality of life. The adaptive Bayesian trial design may be a promising method to facilitate the rapid clinical evaluation of TCM effectiveness for PPF, and will provide an example for how to evaluate TCM effectiveness in rare and refractory diseases. However, due to the complexity of the trial implementation, sufficient simulation analysis by professional statistical analysts is required to construct a Bayesian response-adaptive randomization procedure for timely response. Moreover, detailed standard operating procedures need to be developed to ensure the feasibility of the trial implementation. Please cite this article as: Zhang C, Nie YS, Zhang CT, Yang HJ, Zhang HR, Xiao W, Cui GF, Li J, Li SJ, Huang QS, Yan SY. An adaptive Bayesian randomized controlled trial of traditional Chinese medicine in progressive pulmonary fibrosis: Rationale and study design. J Integr Med. 2025; 23(2): 138-145.
Female ; Humans ; Male ; Bayes Theorem ; Disease Progression ; Drugs, Chinese Herbal/therapeutic use* ; Medicine, Chinese Traditional/methods* ; Pulmonary Fibrosis/therapy* ; Quality of Life ; Randomized Controlled Trials as Topic ; Research Design ; Adaptive Clinical Trials as Topic

Nature killer(NK)cells are lymphocytes of the innate immune that play a significant role in aging through direct cell killing and secretion of cytokines.NK cells can delay the occurrence of age-related diseases and prolong lifespan by eliminating senescencent cells.Significant progress has been achieved in the research utilizing NK cells to improve aging.This review aims to summarize that the recent research on the mechanism of NK cells in the context of senescence, as well as the progress made in anti-senescence interventions through animal and clinical studies.Nevertheless, substantial challenges remain for the clinical application of NK cell-based anti-senescence therapies.

Objective Performing physical tasks in the low-pressure environment of space poses a significant physiological challenge for astronauts.This study investigates the localized thermophysiological effects of typical physical tasks on different body segments and analyzes the mechanisms by which low-pressure environments influence human task performance.The findings aim to provide a theoretical basis for the thermal control design of spacesuits,focusing on both localized thermoregulation and overall task performance.Methods Two typical physical tasks—15 kg weighted walking and 25 kg load-carrying—were conducted in a simulated low-pressure composite environment chamber.The chamber was set to an altitude-equivalent pressure of 57 kPa(4500 m),with a temperature of 26℃and humidity of 40％.Six non-acclimatized adult male participants were recruited.After environmental stabilization,12-point skin temperatures were recorded throughout the tasks,and localized temperature data were statistically analyzed.Results Under low-pressure conditions,different body regions exhibited distinct thermal responses over time depending on the task type,while the same body region showed varied responses under different task conditions.During walking,temperatures in the primary active regions(thighs and calves)decreased,with most other body regions(except the pelvis and feet)gradually cooling as the task progressed.In contrast,during load-carrying,temperatures in the primary active regions(back and upper arm muscles)increased significantly.Conclusion Astronauts performing different tasks in low-pressure environments experience distinct localized thermophysiological effects.Therefore,spacesuit thermal control systems should not only account for task intensity and metabolic differences but also adapt localized heating/cooling based on task-specific thermal profiles.This approach enables targeted intelligent thermal regulation,enhancing operational support in specific mission scenarios.

Objective:To analyze the association between healthcare workers mental health,institu-tional supplies and facilities,inter-organizational coordination during infectious disease outbreaks,and the healthcare institution resilience.Methods:An online questionnaire survey was conducted among the healthcare workforce from 146 institutions in Beijing from January 13,2023 to February 9,2023,and a total of 1 434 eligible respondents were included.The sample comprised 408 responses from tertiary hos-pitals,117 from secondary hospitals,and 909 from primary care institutions.The resilience indicator for healthcare institutions was defined as the degree to which medical services met patient demands,with in-fluencing factors including physical factors,such as material shortages and facility space adaptation or ex-pansion,organizational factors such as information sharing and patient referral,and psychological factors were evaluated using job satisfaction(extrinsic satisfaction,intrinsic satisfaction),burnout(emotional exhaustion,depersonalization,reduced personal accomplishment),and depression status.Ordered mul-ticlassification Logistic regression was used to examine the impact of various factors on the degree to which healthcare services met patient needs;additionally,demographic factors that might influence institutional resilience were controlled.Results:During the emergency response phase,93％of hospitals maintained the capacity to meet patient needs,though tertiary hospitals demonstrated significantly higher rates of service inadequacy(21.05％).Material shortages were reported across all institutions,with tertiary hos-pitals experiencing more frequent multi-item shortages.Inter-institutional collaboration patterns revealed substantial variation:87.50％of primary care facilities,42.86％of secondary hospitals,and 31.58％of tertiary hospitals.Healthcare workers across all levels reported mild depressive symptoms and moderate-to-severe burnout levels.Regression analysis showed high satisfaction(overall satisfaction β=0.04,ex-trinsic satisfaction β=0.06,and intrinsic satisfaction β=0.08),low degree of job burnout(emotional exhaustion β=-0.04,depersonalization β=-0.07 and reduced personal accomplishment β=0.01),low degree of depression(β=-0.06)were significantly associated with higher healthcare institution re-silience.In addition,material shortages were significantly associated with lower resilience,and renova-tion and expansion of treatment spaces,and information sharing,were all associated with higher resilience.Demographic factors(age,gender,marital status,educational background,etc.)had no sig-nificant impact on resilience.Conclusion:Mental health status significantly influences healthcare institu-tion resilience.As human resources constitute the core asset of healthcare institutions,strategic optimiza-tion of workforce allocation and psychological support interventions can effectively strengthen resilience.Moreover,healthcare institution resilience is positively impacted by orderly material supply chains,timely resource distribution,and adaptive reconfiguration of clinical spaces.Finally,facilitating information sharing also enhances institutional resilience.

Objective:To analyze the anatomical characteristics and surgical management measures of acute Stanford type A aortic dissection (AAD) involving coronary arteries, and to preliminarily explore the clinical efficacy of different coronary artery treatment techniques.Methods:A retrospective analysis was conducted on the clinical data of 42 patients who underwent surgery for AAD involving coronary arteries in Hunan Provincial People′s Hospital from January 2022 to May 2025. They were divided into the MI group (14 cases) and the nMI group (28 cases) according to whether they had acute myocardial infarction before surgery. The clinical data such as the actual surgical methods and mortality in the two groups were summarized.Results:Among 294 surgeries, 42 cases (14.3%) had definite coronary artery involvement, including 14 cases in the MI group and 28 cases in the nMI group; 1 case had bilateral coronary artery involvement and 41 cases had right coronary artery involvement. Regarding injury types: 16 cases were of the coronary trunk compression type, 12 cases were of the sinus intimal tear neal to ostium type, and 14 cases were of the coronary trunk intimal type. There was no statistically significant difference in the types of coronary artery involvement between the two groups ( P>0.05). There were 18 cases of Sun′s procedure with preserved aortic sinus and aortic valve, 7 cases of Bentall procedure without bypass, and 17 cases of Bentall procedure plus bypass. There was no statistically significant difference in the surgical plans between the two groups ( P>0.05). There were 4 deaths within 30 days (2 cases in each group). Conclusions:AAD involving coronary arteries is a critical condition, and accurate diagnosis is somewhat difficult. Myocardial ischemia is not significantly associated with the type of coronary artery involvement. The surgical plan depends on the type of coronary artery involvement. The classification method in this study is conducive to selecting appropriate surgical methods and improving surgical prognosis.