Super-pulse thulium fiber laser (hereinafter referred to as thulium laser) has shown broad application prospects in medical research, especially in the treatment of urinary tract stones.Thulium laser has a thin fiber diameter, which reduces the occupation of the working channel and increases the irrigation water flow.Currently, the peak power reaches up to 500 W, the single pulse energy to 6 J, and the frequency to 2000 Hz.The stone-breaking mechanism of thulium laser is photothermal and photomechanical.Different combinations of energy and frequency will significantly affect the volume of stone fragments. "High energy and low frequency" is more suitable for "fragmentation" stone breaking, while "low energy and high frequency" is more suitable for "powderization" stone breaking.Some in vitro experiments have confirmed that thulium laser has higher stone-breaking efficiency, less stone displacement, and more obvious thermal effects compared to holmium laser.Clinically, thulium laser has been applied to ureteroscopic lithotripsy and percutaneous nephrolithotomy., and the stone free rate and safety are relatively high.This article reviews the stone-breaking principles, in vitro experiments, and clinical applications of thulium laser, aiming to provide better theoretical support and practical experience for the development and application of super-pulse thulium fiber laser in the future.

Virtual avatar possesses unique advantages such as high degree of realism,immersion and visualization,and the research on applying it to the assessment and treatment of anorexia nervosa is increasing year by year.In terms of assessment,there are mainly avatar versions of the figure rating scales,yes-no tasks and its variations,method of adjustment,and the use of virtual cylinder technique.In terms of treatment,there are mainly intervention methods based on virtual avatar exposure therapy,body swapping illusions,perceptual/attention training and self-empowerment,as well as some new potential interventions.Overall,the current research around anorexia nervosa using virtual avatar techniques is still in its early stages and there is still a lot of room for further exploration.

Lung transplantation is a key therapeutic approach for patients with end-stage lung diseases. Although its clinical outcomes have significantly improved, multidimensional injuries sustained by donor lungs during procurement, preservation, and transplantation remain major challenges affecting graft survival and long-term prognosis. This article proposes the "Guangzhou Classification" for full-course management of donor lung injury, characterized by spatiotemporal dynamics. Based on the progression of disease stages, donor lung injuries are systematically divided into three types: primary injuries (including donor ICU-related lung injury, pathogen colonization, and cold ischemia injury), secondary injuries (such as ventilator-induced lung injury after transplantation, ischemia-reperfusion inflammatory storm, and early rejection), and accompanying injuries (organ toxicity caused by accumulation of postoperative sedatives, analgesics, and vasoactive drugs). Drawing on previous studies and the clinical experience of our center, this paper elaborates the temporal evolution, key risk factors, and prevention and treatment strategies of each injury category, and discusses future research directions. By targeting critical injury factors at each stage, this classification aims to optimize both short-term and long-term outcomes of lung transplantation.

Objective To explore the value of coronary CT angiography(CCTA)combined with serum in-terleukin(IL)-12p70,protein C(PC)and protein S(PS)in the diagnosis of coronary artery stenosis in coro-nary heart disease.Methods A total of 186 patients with coronary artery disease admitted to Wujin Hospital Affiliated to Jiangsu University(Changzhou Wujin People's Hospital)from April 2022 to April 2024 were prospectively selected as the study group,and the patients were grouped into mild,moderate and severe groups according to Gensimi scores,and another 186 patients with healthy physical examination during the same peri-od were selected as the control group.Enzyme-linked immunosorbent assay(ELISA)was used to detect IL-12p70 levels.Automatic coagulation instrument was used to detect the levels of PC and PS.The influencing factors of severe coronary artery stenosis in coronary heart disease were analyzed by multivariate Logistic re-gression analysis.Receiver operating characteristic(ROC)curve was plotted to analyze the diagnostic value of CCTA parameters combined with serum IL-12p70,PC and PS in the diagnosis of severe coronary artery steno-sis in coronary heart disease.Results The serum level of IL-12p70 in the study group was greatly higher than that in the control group(P＜0.05),and the levels of PC and PS were greatly lower than those in the control group(P＜0.05).Minimum lumen diameter(MLD),minimum tubular neck area(MLA),serum PC,and PS levels were sequentially decreased in the mild,moderate,and severe groups(P＜0.05),and percentage area stenosis(％AS),percentage diameter stenosis(％DS),and serum IL-12p70 levels were sequentially increased(P＜0.05).According to multivariate Logistic regression analysis,IL-12p70 was a risk factor for severe coro-nary artery stenosis in coronary heart disease(P＜0.05),and PC and PS were protective factors(P＜0.05).According to the ROC curve,the area under the curve(AUC)of MLD,MLA,％AS,％DS,serum IL-12p70,PC,and PS for the diagnosis of severe coronary artery stenosis in coronary heart disease was 0.810,0.767,0.782,0.779,0.776,0.809,and 0.805.The AUC of combined diagnosis for severe coronary artery stenosis in coronary heart disease was 0.982,which was better than that of individual diagnosis(Zcombination vs.MLD=2.489,Zcombination vs.MLA=2.502,Zcombination vs.％AS=2.531,Zcombination vs.％DS=2.602,Zcombination vs.IL-12p70=2.643,Zcombination vs.PC=2.537,Zcombination vs.PS=2.546,all P＜0.05).Conclusion Serum IL-12p70 is greatly increased in patients with coronary heart disease,PC and PS levels are greatly reduced.CCTA combined with serum IL-12p70,PC,and PS could effectively improve their value in diagnosing degree of coronary artery stenosis in cor-onary heart disease.

Urolithiasis represents a prevalent clinical challenge marked by high recurrence rates and morbidity，with existing preventive strategies struggling to effectively curb its epidemic trajectory，thereby posing a significant threat to public health. The etiology of this condition is intricate，involving a complex network of interactions spanning classical supersaturation-crystallization theory，Randall’s plaque theory，and multifactorial elements such as cellular injury，inflammatory responses，metabolic derangements，the gut-kidney axis，immune dysregulation，and genetic predisposition. However，the critical mechanisms initiating stone formation and the early pathophysiological processes remain incompletely elucidated，constituting the core impasse in current preventive strategies. This review systematically synthesizes classical theories and cutting-edge advancements in urolithiasis etiology research，emphasizing the urgent need to integrate emerging technologies，including high-dimensional omics，advanced imaging modalities，and artificial intelligence，to dissect pivotal pathological nodes in early stone formation. Such interdisciplinary efforts are essential to overcome cognitive bottlenecks and ultimately achieve personalized，precision-based prevention strategies.

Diabetic nephropathy(DN),a primary cause of end-stage renal disease(ESRD)in diabetic patients,is pathologically characterized by chronic inflammation and renal fibrosis.Chronic inflammation promotes renal cellular damage,epithelial-mesenchymal transition,and extracellular matrix(ECM)accumulation through mechanisms including immune cell activation,pro-inflammatory cytokine secretion,and initiation of multiple sig-naling pathways.Excessive ECM deposition disrupts renal architecture and drives tubulointerstitial expansion,thereby accelerating renal functional decline.Recent studies demonstrate that chronic inflammation and fibrosis synergistically propagate DN progression via bidirectional crosstalk.Inflammation serves as an early driver of fibro-genesis and further amplifies fibrotic processes through positive feedback mechanisms,establishing a self-perpetu-ating inflammation-fibrosis vicious cycle.However,the precise molecular interplay between chronic inflammation and fibrosis remains incompletely elucidated.Thus,in-depth exploration of their interaction mechanisms is crucial for developing novel DN interventions.This review delineates the pathogenic roles of chronic inflamma-tion and fibrosis in DN to advance mechanistic understanding and provide foundational insights for designing in-novative therapeutic strategies.

Objective:To investigate the differences in electroencephalographic (EEG) microstate characteristics between children with autism spectrum disorder (ASD) and typically developing (TD) children, and to explore the correlation between irritability and EEG microstate features in ASD children.Methods:A total of 104 children with ASD [ASD group, 83 boys, 21 girls; aged 4-13 years, mean age (9.47±1.74)years] from the Autism Cohort of Nanjing Medical University and 60 TD children [TD group; 50 boys, 10 girls; aged 5-13 years, mean age(9.86±1.78) years ]from the IEEE Dataport database were enrolled. Irritability severity was assessed using the Affective Reactivity Index-Parent (ARI-P). Resting-state EEG data with eyes closed were recorded using a 24-channel dry-electrode EEG cap. Group-level EEG microstate topographic maps and microstate parameters, including mean duration, frequency, and time coverage, were extracted and compared between groups using nonparametric tests. In the ASD group, Spearman correlation analysis was used to examine the associations between microstate features and ARI-P in ASD children. Multiple linear regression was used to identify predictors of irritability.Results:Four group-level microstates (A, B, C, D) were identified in both groups. Compared to TD children, ASD children exhibited significantly longer mean duration for all microstates, in microstates A[ M(Q1, Q3)]: 0.060 (0.054,0.070) vs 0.091 (0.0530, 0.155) s, microstate B: 0.059 (0.050, 0.066) vs 0.087 (0.057,0.149) s, microstate C: 0.059 (0.050, 0.066) vs 0.095 (0.056, 0.183) s and microstate D: 0.055 (0.049,0.075) vs 0.095 (0.053,0.162) s ( Z=-3.51, -4.89, -4.71, -4.21; all P<0.001); However, microstate occurrence frequencies were significantly lower in the ASD group: A: 5.423 (3.640,21.024) vs 1.834 (1.327,3.395) Hz, microstate B: 4.949 (3.439,20.038) vs 2.146 (1.314,3.834) Hz, microstate C: 5.888 (3.998,22.078) vs 2.234 (1.441,3.768) Hz and microstate D: 5.371 (3.170,15.208) vs 2.074 (1.147,3.582) Hz ( Z=-7.72, -6.41, -7.85, -6.60; all P<0.001). In the ASD group, ARI-P scores were positively correlated with the mean duration of microstates B, C, and D ( r=0.28, 0.26, 0.33; all P<0.05) and negatively correlated with the occurrence frequency of microstates A, C, and D ( r=-0.26, -0.27, -0.21; all P<0.05). Multiple linear regression analysis revealed that the mean duration of microstate B was a significant predictor of irritability severity ( β=0.436, 95% CI: 1.260-4.202, P<0.001). Conclusion:Resting-state EEG microstate characteristics in Children with ASD differ from those in TD children and are associated with the severity of irritability. Prolonged duration of microstate B may serve as a risk factor for increased irritability in children with ASD.

Diabetic nephropathy(DN),a primary cause of end-stage renal disease(ESRD)in diabetic patients,is pathologically characterized by chronic inflammation and renal fibrosis.Chronic inflammation promotes renal cellular damage,epithelial-mesenchymal transition,and extracellular matrix(ECM)accumulation through mechanisms including immune cell activation,pro-inflammatory cytokine secretion,and initiation of multiple sig-naling pathways.Excessive ECM deposition disrupts renal architecture and drives tubulointerstitial expansion,thereby accelerating renal functional decline.Recent studies demonstrate that chronic inflammation and fibrosis synergistically propagate DN progression via bidirectional crosstalk.Inflammation serves as an early driver of fibro-genesis and further amplifies fibrotic processes through positive feedback mechanisms,establishing a self-perpetu-ating inflammation-fibrosis vicious cycle.However,the precise molecular interplay between chronic inflammation and fibrosis remains incompletely elucidated.Thus,in-depth exploration of their interaction mechanisms is crucial for developing novel DN interventions.This review delineates the pathogenic roles of chronic inflamma-tion and fibrosis in DN to advance mechanistic understanding and provide foundational insights for designing in-novative therapeutic strategies.

Virtual avatar possesses unique advantages such as high degree of realism,immersion and visualization,and the research on applying it to the assessment and treatment of anorexia nervosa is increasing year by year.In terms of assessment,there are mainly avatar versions of the figure rating scales,yes-no tasks and its variations,method of adjustment,and the use of virtual cylinder technique.In terms of treatment,there are mainly intervention methods based on virtual avatar exposure therapy,body swapping illusions,perceptual/attention training and self-empowerment,as well as some new potential interventions.Overall,the current research around anorexia nervosa using virtual avatar techniques is still in its early stages and there is still a lot of room for further exploration.

Urolithiasis represents a prevalent clinical challenge marked by high recurrence rates and morbidity，with existing preventive strategies struggling to effectively curb its epidemic trajectory，thereby posing a significant threat to public health. The etiology of this condition is intricate，involving a complex network of interactions spanning classical supersaturation-crystallization theory，Randall’s plaque theory，and multifactorial elements such as cellular injury，inflammatory responses，metabolic derangements，the gut-kidney axis，immune dysregulation，and genetic predisposition. However，the critical mechanisms initiating stone formation and the early pathophysiological processes remain incompletely elucidated，constituting the core impasse in current preventive strategies. This review systematically synthesizes classical theories and cutting-edge advancements in urolithiasis etiology research，emphasizing the urgent need to integrate emerging technologies，including high-dimensional omics，advanced imaging modalities，and artificial intelligence，to dissect pivotal pathological nodes in early stone formation. Such interdisciplinary efforts are essential to overcome cognitive bottlenecks and ultimately achieve personalized，precision-based prevention strategies.