Ischemia-reperfusion injury of solid organs is a common complication during transplantation, but its mechanism remains unclear and there are no effective prevention and treatment methods. Rejection is a common immune response of the graft, which is classified into hyperacute rejection, acute rejection and chronic rejection. Rejection and ischemia-reperfusion injury of solid organs may share some common mechanisms, and further research on their correlation may provide strategies for the prevention and treatment of ischemia-reperfusion injury of solid organs. This article mainly reviews the association between rejection and ischemia-reperfusion injury of solid organs.

Dry eye disease(DED)is a common ocular surface disorder worldwide, primarily characterized by a loss of homeostasis of the tear film, and frequently associated with meibomian gland dysfunction(MGD), decreased tear film stability, ocular discomfort, and visual impairment. In recent years, factors such as the widespread use of digital devices,the aging population, and environmental changes have contributed to a significant increase in its global prevalence, making it a major public health concern. Red light therapy(RLT), also known as low-level laser therapy(LLLT)or photobiomodulation(PBM), is a non-invasive treatment that utilizes low-energy red or near-infrared light to irradiate tissues. It exerts photobiomodulatory effects to promote cellular repair and functional recovery. This therapy has demonstrated considerable potential in treating various ocular conditions. Its broader clinical application could improve therapeutic outcomes, alleviate patient discomfort and financial burden, and reduce the consumption of healthcare resources, thereby yielding significant socio-economic benefits. This paper systematically reviews the multifaceted mechanisms and application prospects of RLT in managing DED, including its anti-inflammatory effects, improvement of meibomian gland function, promotion of conjunctival goblet cell repair, and alleviation of visual fatigue, aiming to provide a theoretical foundation and practical reference for its clinical adoption.

Lung cancer is a leading cause of cancer-related morbidity and mortality worldwide. Coupled with the substantial workload, the clinical management of lung cancer is challenged by the critical need to efficiently and accurately process increasingly complex medical information. In recent years, large language models (LLMs) technology has undergone explosive development, demonstrating unique advantages in handling complex medical data by leveraging its powerful natural language processing capabilities, and its application value in the field of lung cancer diagnosis and treatment is continuously increasing. The paper systematically analyzes that the exceptional potential of LLMs in lung cancer auxiliary diagnosis, tumor feature extraction, automatic staging, progression/outcome analysis, treatment recommendations, medical documentation generation, and patient education. However, they face critical technical and ethical challenges including inconsistent performance in complex integrated decision-making (e.g., TNM staging, personalized treatment suggestions) and "black box" opacity issues, along with dilemmas such as training data biases, model hallucinations, data privacy concerns, and cross-lingual adaptation challenges ("data colonization"). Future directions should prioritize constructing high-quality multimodal corpora specific to lung cancer, developing interpretable and compliant specialized models, and achieving seamless integration with existing clinical workflows. Through dual drivers of technological innovation and ethical standardization, LLMs should be prudently advanced for holistic lung cancer management processes, ultimately promoting efficient, standardized, and personalized diagnosis and treatment practices.

Objective: The cross sectional study aimed to identify predominant co-occurrence patterns among six common mental health issues in college students, so as to provide empirical basis for designing targeted interventions. Methods: From October 2024, a total of 9 837 students from 4 universities in Xiangtan City, Hunan Province, participated in the current study by multistage random cluster sampling method. Participants completed self report measures, including the Patient Health Questionnaire-9 (PHQ-9), Generalized Anxiety Disorder 7 item Scale (GAD-7), Young s Internet Addiction Diagnostic Questionnaire, the Adolescent Insomnia Symptom Self rating Scale, the Ottawa Self injury Inventory, and the Brief Community Assessment of Psychic Experiences Questionnaire. Demographic and co-occurrence characteristics were first compared using Chi square or trend Chi-square tests, followed by application of the Apriori algorithm to mine association rules for primary co-occurrence patterns. Results: The detection rate of co-occuring the common mental health issues was 46.44%. The detection rate was significantly higher in female than in male students (50.42%, 43.61%; χ 2=44.46) and in students from rural versus urban areas (47.22%, 44.60%; χ 2=5.67) (both P <0.05). Significant differences were observed among freshmen, sophomores, juniors, and seniors (46.63%, 48.35%, 45.05% , 43.66%, respectively; χ 2=9.22, P <0.05), although no statistically significant trend was detected ( χ 2 trend =3.75, P = 0.05 ). Association rule mining identified “anxiety + depression” “anxiety + psychotic experiences + depression” and “anxiety + sleep disorder + depression” as the combinations with the highest support. In addition, “anxiety+depression+Internet addiction+psychotic experiences =>sleep disorder (>= refered to the occurrence of the latter item under the condition that the former item occurs)” and “anxiety + depression+Internet addiction=>sleep disorder” were combinations with relatively high confidence. Conclusions Co-occurrence of these mental health issues among college students is high and exhibits diverse patterns. Strategies to address this burden should prioritize integrated interventions that target these specific combinations of factors.

ObjectiveTo explore the establishment of a rat model of diabetic macrovascular atherosclerosis （DMA） with Qi and Yin deficiency syndrome induced by high-fat diet， streptozotocin （STZ）， and Yin-depleting herbs， and to evaluate its biological characteristics. MethodsForty SD rats were randomly divided into a blank group （n=10） and a modeling group （n=30）. Except for the blank group， rats in the model group were fed a high-fat diet for 4 weeks， followed by intraperitoneal injection of STZ （30 mg·kg^-1） to establish a diabetic model. Twenty-four successfully modeled diabetic rats were randomly divided into a model group （n=7）， a Qi and Yin deficiency syndrome group （n=8）， and a counter-syndrome group （n=9）. Except for the model group， rats received intragastric administration of Yin-depleting herbs （1.2 g·kg^-1） for 8 weeks. The counter-syndrome group was further treated with Shenqi compound formula （1.69 g·kg^-1） for an additional 8 weeks. General condition and body weight were recorded， and syndrome-related indicators were assessed， including precordial temperature， skin moisture content， grip strength， open-field test performance， and tongue appearance. Serum levels of vascular endothelial growth factor （VEGF）， endothelin-1 （ET-1）， vascular cell adhesion molecule-1 （VCAM-1）， insulin-like growth factor-1 （IGF-1）， and monocyte chemotactic protein-1 （MCP-1） were measured by enzyme-linked immunosorbent assay （ELISA）. Fasting blood glucose， blood lipids， hemorheological parameters， and coagulation function were analyzed using an automatic biochemical analyzer. Vascular ultrasound and hematoxylin-eosin （HE） staining were used to evaluate vascular lesions. ResultsIn terms of syndrome manifestations， compared with the blank group， body weight increased rapidly during the first 5 weeks in the model， Qi and Yin deficiency， and counter-syndrome groups. After STZ injection combined with Yin-depleting herbal administration at week 5， body weight decreased significantly （P<0.01） and continued to decline until the end of the experiment. Rats exhibited decreased activity， irritability， coarse and yellowish fur with obvious shedding， polydipsia， polyphagia， frequent urination， and dry stools， which were most pronounced in the Qi and Yin deficiency group. Grip strength decreased， peak activity time occurred earlier， total distance in the open-field test was reduced， and residence time was prolonged. Precordial temperature decreased （P<0.01）， while paw temperature increased （P<0.05）， and skin moisture and oil content were reduced （P<0.05， P<0.01）. In terms of disease-related indicators， compared with the blank group， fasting blood glucose was significantly increased （>16.7 mmol·L^-1） in the model and Qi and Yin deficiency groups， and blood lipid levels were significantly elevated （P<0.05）. Vascular-related factors ET-1， MCP-1， VCAM-1， and VEGF were significantly increased （P<0.05，P<0.01）， while IGF-1 was significantly decreased （P<0.01）. Pathological examination of the aortic valve showed valvular thickening and structural disorganization. Carotid artery examination revealed discontinuity of the intima， foam cell accumulation beneath the intima， disordered smooth muscle arrangement， and widened intercellular spaces. Compared with the model group， ET-1， MCP-1， and VEGF levels were significantly decreased in both the Qi and Yin deficiency group and the counter-syndrome group. The reductions in ET-1 and MCP-1 were more pronounced in the Qi and Yin deficiency group （P<0.01）， while the decrease in VCAM-1 was more significant in the counter-syndrome group （P<0.05）. Compared with the blank group， the Qi and Yin deficiency group showed significantly prolonged activated partial thromboplastin time （APTT）， thrombin time （TT）， and prothrombin time （PT） （P<0.01）. The erythrocyte deformability index （TK）， erythrocyte sedimentation rate， erythrocyte electrophoresis index， and whole blood low-shear viscosity all showed increasing trends. Vascular ultrasound revealed reduced arterial blood flow velocity， increased vascular resistance， and intimal thickening without plaque formation. The aortic intima showed no obvious overall thickening， with only occasional localized thickening and foam cell presence， and carotid artery injury was observed. ConclusionA rat model of DMA with Qi and Yin deficiency syndrome was successfully established using high-fat diet feeding combined with STZ injection and Yin-depleting herbal administration. Shenqi compound formula effectively alleviated Qi and Yin deficiency syndrome， regulated glucose and lipid metabolism， improved hemorheological and coagulation function， reduced vascular lesion severity， and demonstrated potential for early prevention and treatment of DMA.

ObjectiveCell adhesion is a critical process that regulates cellular physiological functions. Quantitative characterization of adhesion dynamics is essential for elucidating the intrinsic mechanical mechanisms underlying cellular activities. Although atomic force microscopy-based single-cell force spectroscopy is widely used for single-cell adhesion measurements, it requires complex chemical modifications for preparation of live-cell probes, leading to limitations such as cumbersome operation, low throughput, and potential impacts on cell viability. Fluidic force microscopy, which combines atomic force microscopy with microfluidic probes, is a technique allowing the operation of force-controlled nanopipettes in aqueous environments. By applying negative or positive pressure via a pressure controller, a single living cell can be captured onto or released from the cantilever under physiological conditions. This procedure offers a simple workflow and high assay throughput for single-cell adhesion measurements without the need for chemical functionalization. In this study, fluidic force microscopy-based single-cell force spectroscopy was adopted to achieve long-term quantitative characterization of single-cell adhesion dynamics in a simpler and more efficient manner, comparing the dynamic differences in adhesion establishment between two cell lines with different differentiation levels. MethodsHEK 293T and hTERT RPE-1 cells were non-invasively captured on the cantilever of a fluidic force microscope via its integrated microfluidic system during 40 h of adhesion culture. Cell-substrate detachment assays were performed, and force-distance curves were recorded to extract key mechanical adhesion parameters, including adhesion force, adhesion energy, and maximum detachment distance. These measurements were combined with real-time monitoring of cell spreading area to systematically characterize the dynamic evolution of single-cell adhesion. ResultshTERT RPE-1 cells rapidly entered a stable adhesion phase within 1 h after seeding, with both area-normalized adhesion force and area-normalized adhesion energy reaching peak values. In contrast, HEK 293T cells required 4 h to achieve stable adhesion. Subsequently, the adhesion force, adhesion energy and maximum detachment distance of hTERT RPE-1 and HEK 293T cells stabilized at approximately 240 nN vs. 30 nN, 2.2 pJ vs. 0.12 pJ and 6 μm vs. 4 μm, respectively. hTERT RPE-1 cells reached the peak of area-normalized adhesion parameters earlier than HEK 293T cells, with their peak area-normalized adhesion force and area-normalized adhesion energy being substantially elevated relative to HEK 293T cells. HEK 293T cells presented stronger linear correlations among adhesion energy, maximum detachment distance and adhesion force compared with hTERT RPE-1 cells. For both cell lines, cell spreading area exhibited a weak correlation with adhesion force. Whereas the area-normalized adhesion parameters of HEK 293T cells remained relatively constant throughout the adhesion process, hTERT RPE-1 cells exhibited elevated values in the early phase, followed by a gradual decline. These results indicated distinct dynamic adhesion patterns between the two cell types, with hTERT RPE-1 cells exhibiting stronger adhesion strength and higher adhesion efficiency. ConclusionIn this study, fluidic force microscopy-based single-cell force spectroscopy was successfully applied to perform long-term in situ quantitative measurement of the adhesion dynamics in single adherent cells. The approach revealed divergent adhesion patterns between HEK 293T and hTERT RPE-1 cells, suggesting a close association between cell differentiation and adhesion behaviors. These findings provide quantitative mechanical evidence for further understanding the underlying mechanisms of cell adhesion.

OBJECTIVE To optimize the risk matrix assessment model for management of hospital-associated infec-tion based on analytic hierarchy process(AHP)and evaluate the application effect of the model after optimization.METHODS By means of AHP,the model was optimized by constructing the quantitative evaluation indexes weight system for consequence severity induced by hospital-associated infection from Feb.2023 to Jul.2023.Taken The Affiliated Hospital of Guizhou Medical University as an example,the risk for occurrence of hospital-associated in-fection in 20 internal medicine departments was evaluated,the risk grades were determined,and the application effect of the risk assessment model was evaluated after the optimization.RESULTS The weight system indexes for severity of consequences due to hospital-associated infection included surgical site infection(18.03％),treatment outcomes(49.50％),increased length of hospital stay(11.52％),increased hospitalization cost(6.43％)and variable coefficient of monthly morbidity(14.53％).Ward 2 of emergency internal medicine department,neurolo-gy department,Ward 1 of emergency internal medicine department and hematopoietic stem cell transplantation de-partment were the extremely high risk departments acquired by the risk assessment model.The risk assessment was carried out for the extremely high risk departments,and the Ward 1 of emergency internal medicine depart-ment was determined as the department that the risk coping strategies were taken in priority after the risk value was adjusted.CONCLUSION The risk matrix assessment model can be optimized by establishing the weight sys-tem of quantitative indexes for risk assessment based on AHP,the model achieves remarkable application effect,and the result of risk assessment is reliable and has significance for clinical guidance.

Objective To develop a three-dimensional(3D)deep neural network based preoperative classification model for coronary computed tomography angiography(CTA)in atrial fibrillation patients,and to explore the effects of transfer learning on the performance of medical image classification models,thereby providing preoperative decision support for catheter ablation to advance atrial fibrillation treatment toward precision and personalization.Methods Utilizing 3D ConvNet and 3D ResNet as backbone network,the three-dimensional classification features were extracted from coronary CTA sequences.The publicly available pre-trained weights were used for transfer learning.The model performance was evaluated through metrics such as confusion matrix,classification accuracy,and area under the curve(AUC).A comparative analysis was also conducted to evaluate the performance differences between the transfer learning model and the initialized training model.Results Transfer learning yielded significant performance improvements over the initialized training models,attaining AUC improvement of 9.1%-16.7%and accuracy enhancement of 6.2%-23.5%.Among all models,3D-ResNet18 model with MedicalNet pre-training weights performed the best,achieving an AUC of 0.77 and an accuracy of 0.71.Conclusion The proposed three-dimensional deep network enhanced by transfer learning can effectively identify atrial fibrillation patients requiring additional ablation besides pulmonary vein isolation through preoperative coronary CTA,which will assist clinicians in optimizing surgical strategies and improving treatment outcomes,thereby reducing long-term postoperative recurrence rates.

Objective:To evaluate the efficacy of two different approaches:direct anterior approach(DAA)and posterolateral approach(PLA)in total hip arthroplasty(THA).Methods:This study adopted a retrospective cohort study design,included to analyse 128 cases of THA patients who were received in our hospital from January 2021 to January 2024.Patients were divided into PLA group(n=61)and DAA group(n=67)according to different approach methods.Perioperative indicators,Harris hip joint function score,anteversion and abduction angles of acetabular prosthesis and incidence of complications were compared between the two groups.Results:Compared with PLA group,DAA group had longer surgical time,less intraoperative blood loss,shorter surgical incision length and shorter postoperative hospital stay(P＜0.05).Compared with the PLA group at 1 month(T2)to 6 months(T4)after surgery,DAA group had higher Harris hip joint function score(P＜0.05).Conclusion:Compared with PLA,DDA is used in THA,although the surgery time is longer,it can achieve a similar recovery effect in anteversion and abduction angles,which helps to shorten the surgical incision length and postoperative hospital stay,reduce intraoperative blood loss and achieve better hip joint function recovery.

OBJECTIVE To offer a reference for the treatment of Mycobacterium iranicum infection by analyzing the diagnosis and management of a single case alongside literature-reported cases.METHODS Through case report and literature reviews,this study synthesized the clinical features,therapeutic regimens,and patient outcomes of those infected with M.iranicum.RESULTS In the single case documented in this report,subsequent to clinical pharmacists'involvement in the consultation,the patient was prescribed a therapeutic regimen comprising levofloxacin(0.5 g,qd,ivgtt)+Clarithromycin sustained-release tablets(1 000 mg,qd,po)+Ethambutol tablets(0.75 g,qd,po).The patient exhibited clinical improvement and was discharged after treatment.This article integrated 12 published studies,encompassing 13 patients(7 male and 6 female),of whom 69.23%were aged≥50 years.Patients infected with M.iranicum exhibited non-specific clinical manifestations and imaging features,with pulmonary infection as the primary presentation.Antimicrobial susceptibility test revealed that M.iranicum was susceptible to multiple agents,including amikacin,clarithromycin,linezolid,and ethambutol.The three-drug combination therapy was the most frequently employed regimen.In terms of clinical outcomes,there were 9 cases(69.23%)of clinical cure,3 cases(23.08%)of bacteriological negativity conversion,and 1 case(7.69%)of treatment failure.CONCLUSIONS For M.iranicum infection,a triple-drug therapeutic regimen consisting of three agents with distinct mechanisms of action selected from amikacin,clarithromycin,moxifloxacin,levofloxacin,minocycline,ethambutol,and other relevant drugs may represent a relatively optimal strategy.