BACKGROUND:Currently,miR-196b-5p has been found to play a role in cell proliferation,migration and inhibition of scar hyperplasia,but there is a lack of relevant studies on whether it plays a role in the process of wound healing.OBJECTIVE:To investigate the effect of miR-196b-5p in adipose stem cell-derived exosomes on burn wound healing.METHODS:The models of deep second degree skin burn in SD rats were established and randomly divided into four groups:blank control group,exosome group,agomiR-196b-5p group,and exosome+antagomiR-196b-5p group,with 10 rats in each group.PBS,adipose-derived stem cell-derived exosomes,miR-196b-5p agonist,and miR-196b-5p inhibitor were injected around the wound according to different groups.Wound healing was observed immediately after injury and on days 7,14,and 21 after injury.On day 7 after surgery,hematoxylin-eosin staining was used to observe the expression of inflammation in the wound surface.On day 14 after suregery,Masson staining was used to observe the expression of collagen and immunohistochemical staining was used to observe the expression of CD31 in the wound surface.On day 7 after surgery,western blot assay was performed to detect the expression of α-smooth muscle actin and type Ⅰ collagen in the wound surface.RESULTS AND CONCLUSION:(1)The wound healing was faster in the agomiR-196b-5p group,while it was slower in the blank control group and the exosome+antagomiR-196b-5p group.(2)Compared with the blank control group and the exosome+antagomiR-196b-5p group,the wound infiltration of inflammatory cells was less in the exosome group and the agomiR-196b-5p group,and the expression of CD31 was significantly increased(P＜0.01).(3)Compared with the blank control group and the exosome+antagomiR-196b-5p group,the expression levels of α-smooth muscle actin and type Ⅰ collagen were increased in the exosome group and the agomiR-196b-5p group(P＜0.05).These findings indicate that miR-196b-5p in adipose stem cell-derived exosomes can promote burn wound healing in rats.

BACKGROUND:Currently,miR-196b-5p has been found to play a role in cell proliferation,migration and inhibition of scar hyperplasia,but there is a lack of relevant studies on whether it plays a role in the process of wound healing.OBJECTIVE:To investigate the effect of miR-196b-5p in adipose stem cell-derived exosomes on burn wound healing.METHODS:The models of deep second degree skin burn in SD rats were established and randomly divided into four groups:blank control group,exosome group,agomiR-196b-5p group,and exosome+antagomiR-196b-5p group,with 10 rats in each group.PBS,adipose-derived stem cell-derived exosomes,miR-196b-5p agonist,and miR-196b-5p inhibitor were injected around the wound according to different groups.Wound healing was observed immediately after injury and on days 7,14,and 21 after injury.On day 7 after surgery,hematoxylin-eosin staining was used to observe the expression of inflammation in the wound surface.On day 14 after suregery,Masson staining was used to observe the expression of collagen and immunohistochemical staining was used to observe the expression of CD31 in the wound surface.On day 7 after surgery,western blot assay was performed to detect the expression of α-smooth muscle actin and type Ⅰ collagen in the wound surface.RESULTS AND CONCLUSION:(1)The wound healing was faster in the agomiR-196b-5p group,while it was slower in the blank control group and the exosome+antagomiR-196b-5p group.(2)Compared with the blank control group and the exosome+antagomiR-196b-5p group,the wound infiltration of inflammatory cells was less in the exosome group and the agomiR-196b-5p group,and the expression of CD31 was significantly increased(P＜0.01).(3)Compared with the blank control group and the exosome+antagomiR-196b-5p group,the expression levels of α-smooth muscle actin and type Ⅰ collagen were increased in the exosome group and the agomiR-196b-5p group(P＜0.05).These findings indicate that miR-196b-5p in adipose stem cell-derived exosomes can promote burn wound healing in rats.

Background Long working hours, as a common risk factor for occupational stress, is closely related to the occurrence of depressive symptoms. Understanding how long working hours affect occupational stress and depressive symptoms will inform occupational health interventions. Objective To quantify the impact of long working hours exposure on occupational stress and depressive symptoms among Internet industry employees, translate black-box outputs into actionable insights, and demonstrate the value of interpretable machine learning for early-warning occupational-health surveillance. Methods A dataset was derived from a cross-sectional survey involving 2866 internet industry employees in China. This survey was part of the project Risk Assessment Of Long Working Hour Exposure And Its Adverse Health Effects, conducted by the National Institute for Occupational Health and Poisoning Control, Chinese Center for Disease Control and Prevention, from 2021 to 2023. Working hours, occupational stress and depressive symptoms were quantified with a set of structured questionnaires including the Core Occupational Stress Scale and the Patient Health Questionnaire. Pairwise associations were screened by Mantel tests and variance-inflation factors. Key predictors identified through feature selection were fed into six machine-learning risk-prediction models. Visual interpretation was provided by feature importance, Shapley additive explanations (SHAP) and local interpretable model-agnostic explanations (LIME), while directed causal effects and intervention impacts of prolonged working hours exposure on occupational stress and depressive symptoms were dissected with causal explanation of features techniques. Results The positive rates of occupational stress and depressive symptoms among internet employees were 12.9% and 77.8% respectively. Twelve core features for occupational stress and nine for depressive symptoms were retained after selection. After these features were supplied to six predictive algorithms and evaluated on five metrics, the Light Gradient Boosting Machine (LGBM) achieved the highest accuracy—0.89 for occupational stress and 0.79 for depressive symptoms on the hold-out test set. The feature-importance rankings converged on fatigue accumulation and life satisfaction as dominant drivers for both outcomes, whereas weekly working hours and daily overtime emerged as the principal exposure-related predictors. The SHAP summary plots revealed that longer weekly hours and daily overtime systematically elevated the probability of occupational stress. The causal feature explanation further quantified that ascending one category in weekly working hours increased the probability of occupational stress by 7.04%. Conclusion Exposure to long working hours is associated with both occupational stress and depressive symptoms among internet industry employees. Interpretable machine-learning frameworks translate these associations into transparent, defensible drivers, enabling precise identification of the pivotal factors and their interplay. This evidence base equips occupational-health practitioners with actionable insights for designing targeted prevention and intervention strategies.

Lung cancer remains the most prevalent malignancy worldwide, with the highest incidence and mortality rates. Its complex tumor microenvironment (TME) poses major challenges for conventional two-dimensional (2D) culture systems and animal models, which fail to accurately reproduce in vivo pathological conditions. In recent years, three-dimensional (3D) bioprinting technology—featuring controllable spatial resolution, multi-cell co-printing capability, and structural reproducibility—has emerged as a powerful tool for reconstructing the lung cancer TME. This review systematically summarizes recent progress in 3D bioprinted lung cancer models, encompassing printing techniques, optimization of bio-ink systems, model construction strategies, and the clinical relevance of drug sensitivity testing. Particular attention is given to vascularization and immune co-culture approaches that recapitulate tumor heterogeneity, metabolic gradients, and immune interactions. The advantages of 3D bioprinted models over traditional 2D cultures in predicting therapeutic responses and enabling precision drug screening and personalized treatment are also highlighted. Future research should focus on standardizing bio-ink formulations, integrating patient-derived organoids with microfluidic platforms, and establishing robust evaluation systems to facilitate the clinical translation and application of 3D bioprinting in precision lung cancer diagnosis and therapy.

AIM: To analysis the correlation between extraocular muscle thickness measured by quantitative CT analysis of orbital structures and clinical activity score(CAS)of thyroid-associated ophthalmopathy(TAO).METHODS:This was a retrospective analysis, selecting clinical data of TAO patients admitted to the hospital from October 2020 to February 2025. Healthy individuals were chosen from hospital's physical examination as the control group. All participants underwent CT examination, the superior rectus muscle, inferior rectus muscle, medial rectus muscle, lateral rectus muscle, orbital area, protrusion degree, and total cross-sectional area of extraocular muscles/total orbital area ratio(OM/TOA)from the two groups of participants were compared. CAS was used to evaluate TAO patients, and the correlation between CAS score and quantitative analysis indicators of CT orbital structure was analyzed. Quantitative analysis indicators for CT orbital structure in TAO patients at different stages of activity were compared, and the predictive value of these indicators for TAO patients at different activity stages was investigated.RESULTS:A total of 77 TAO patients were enrolled in this study, including 38 males and 39 females, with ages ranging from 28 to 70 y(mean age 49.5±6.9 y). There were 77 cases in the control group, including 40 males and 37 females, with ages ranging from 26 to 70 y(mean age 49.0±7.3 y). There was no significant difference in gender and age between the two groups(both P>0.05). The quantitative analysis of left eye, right eye, and binocular CT orbital structure in TAO group patients showed significantly higher indicators than the control group(all P<0.001), and the CAS score of TAO group was 3.94±1.51 points. The CAS score was positively correlated with various indicators of CT orbital structure quantitative analysis(all P<0.05). According to the CAS score results, 14 cases(28 eyes)of TAO patients with a CAS score<3 were classified as inactive phase, including 8 males and 6 females, with an average age of 43.79±9.58 y. A total of 63 cases(126 eyes)with a CAS score of ≥3 was classified as active phase, including 30 males and 33 females, with an average age of 50.78±5.47 y. There was no significant difference in gender among TAO patients with different active phases(P=0.519), but there was a significant difference in age(P<0.001). The quantitative indicators of CT orbital structure in inactive patients were significantly lower than those in active patients(P<0.05). Finally, the superior rectus muscle, age, and degree of protrusion were selected to be included in the Logistic regression model. The analysis results showed that there was a correlation between the superior rectus muscle index, degree of protrusion and TAO activity phase(P<0.05), while age, and TAO activity phase showed no significant correlation(P>0.05). The ROC curve analysis results showed that the area under the curve(AUC)was 0.863, the standard error was 0.063, P<0.001, and the 95% confidence interval(95% CI)of AUC was 0.740-0.985. The sensitivity of the model prediction was 73.0%, the specificity was 92.9%, and the Youden index was 0.659. The prediction accuracy was 97.9%, the recall rate was 73.0%, and the F1 value was 0.836. The predicted optimal critical value was 0.857. The predicted probability was 0.74.CONCLUSION:Quantitative CT analysis of orbital structures can be used to assess disease severity in TAO patients.

Objective To investigate the effects of joint function screening and correction on intervention efficacy of prevention and assessment score of training injuries in new recruits.Methods A randomized controlled study was conducted on 265 new recruits subjected from two organizational units of an army unit with cluster sampling.Based on entire organizational unit,the participants were randomly divided into a control group(n=132)and an experimental group(n=133).The experimental group received joint function screening and corrective movement training,which was subsequently applied in the new recruit training,while the control group underwent training according to conventional methods.Joint function were collected before and after training.The demographic data,assessment score of training,and incidence of training injuries were collected through the participant's own organizational unit.Receiver operating characteristic(ROC)curve was plotted to evaluate the efficacy of joint function screening in predicting training injuries,and binary logistic regression and general linear regression analyses were applied to verify the correlation of joint function screening score with training injuries and assessment score of training.Results After new training,the score of joint function screening was significantly higher in the experimental group than the control group(16.62±1.87 vs 14.92±2.58,P<0.001).And the score was obviously increased in the experimental group(16.62±1.87 vs 12.82±1.98,P<0.001)and the control group(14.92±2.58 vs 12.95±1.81,P<0.001)when compared with the corresponding score before training.The area under the ROC curve(AUC)of joint function screening in predicting training injuries was 0.762(95%CI:0.694～0.830),indicating good predictive efficacy.During the new training process,the incidence of training injuries in the experimental group(13.53%)was significantly lower than that in the control group(24.24%,Chi-square=4.963,P=0.026).Binary logistic regression analysis showed that the pre-training assessment score of joint function screening was an important influencing factor for training injuries in new recruits(OR=0.552,95%CI:0.413～0.660,P<0.001).The experimental group obtained notably higher mean assessment score than the control group[733.00(716.00,752.75)vs 728.79(710.46,744.28),P=0.027].Linear regression analysis revealed a correlation between post-training score of joint function screening and the assessment score of newly trained personnel(P<0.001).Conclusion Joint function screening and correction for newly trained personnel can effectively prevent training-related injuries during the new training period,and correcting joint function through training can effectively improve the assessment score of newly trained personnel.

Objective To explore the prevention effectiveness of a mode,conducting targeted corrective training based on motor dysfunction detected by military joint function screening,on military training injuries in new recruits during recruit basic training in order to cope with the high incidence of military training injuries among them.Method A military personnel joint function screening was conducted on the new recruits in a training base of Joint Logistics Support Force.Based on the results of screening,the new recruits with a single action score of 1 and a total score of<10 were subjected and served as corrective training participants.Through cluster sampling,the new recruits were randomly divided into an experimental group(n=223)and a control group(n=223).The control group were trained according to the regular training plan,while the experimental group completed their designated training tasks and a 2-month corrective training for motor dysfunction at the same time.The entire corrective training process was carried out by our key personnel who had received relevant training.Medical records of the medical security department of the experimental unit were collected and evaluated for the injury situation.The score of joint function screening was analyzed using independent sample t test.The incidence of training injuries was analyzed using Chi-square test or Fisher's exact test.Result After corrective training,the score of joint function was higher in the experimental group than the score before training(15.12±2.13 vs 10.58±2.83),and the score was also higher than that of the control group(15.12±2.13 vs 14.19±1.97,P<0.05).During the recruit basic training period,the incidence of training injuries was notably lower in the experimental group than the control group(12.5％vs 34.5％,Chi-square=5.469,P=0.001).Only for those who were injured during the training,11 people(39.2％)in the experimental group scored less than 10,which was obviously lower than the 49 people(63.6％)in the control group(Chi-square=4.972,P=0.026).Conclusion Our mode,corrective training based on the results of military personnel joint function screening,can effectively reduce the incidence of military training injuries in new recruits during recruit basic training,and exerts a good preventive effect against military training injuries.

Objective To identify recruit movement dysfunction based on military joint function screening and assessment,implement targeted corrective training,explore the impact of this assessment-correction system on knowledge-attitude-belief-practice(KABP)related factors,and scientifically evaluate its efficacy in preventing recruit military training injuries within the knowledge-attitude-belief-practice theoretical framework.Methods A cluster randomized controlled trial was conducted at a recruit training base of the Joint Logistics Support Force from March to May 2025,enrolling 446 recruits.Participants were randomly assigned to an experimental group(n=223)or control group(n=223)using a random number table.The control group followed the routine training program,while the experimental group additionally received a 2-month targeted corrective training for movement dysfunction alongside the established training tasks.Knowledge-attitude-belief-practice questionnaires were administered to both groups at the initial,intermediate,and advanced stages of the corrective training.Univariate logistic regression was used to preliminarily screen KABP-related factors,and a multivariate logistic regression model was further constructed to analyze the role of KABP factors in the corrective training.Results The experimental group had a cumulative training injury incidence of 40 cases(17.9%),which was significantly lower than that of the control group(83 cases,37.2%;χ2=20.757,P<0.001).The experimental group showed varying degrees of improvement in knowledge,attitude and belief,and practice dimensions(P<0.05),while the control group exhibited no significant changes in the three KABP dimensions across the three surveys.Logistic regression analysis revealed:In the first round,total practice score was significantly negatively associated with training injury incidence rate(OR=0.863,95%CI:0.822～0.906,P<0.001),whereas knowledge and attitude-belief dimensions showed no significant association;In the second round,both total knowledge score(OR=0.925,95%CI:0.903～0.946,P<0.001)and total practice score(OR=0.906,95%CI:0.874～0.940,P<0.001)significantly reduced the risk of military training injuries,with attitude-belief dimension still showing no significant effect;In the third round,all three KABP dimensions were significantly negatively associated with military training injury incidence rate(knowledge:OR=0.905,95%CI:0.884～0.926,P<0.001;attitude and belief:OR=0.942,95%CI:0.899～0.988,P=0.013;behavior:OR=0.882,95%CI:0.841～0.924,P<0.001).Conclusion Joint function screening and corrective training can significantly reduce the incidence of recruit training injuries,primarily by optimizing knowledge mastery and movement behavior;belief cultivation,however,requires long-term practical accumulation.

Integrated metabolomic and lipidomic profiling,utilizing liquid chromatography coupled with high-resolution mass spectrometry(LC-HRMS),has emerged as a pivotal strategy for biomarker discovery.However,the inherent polarity disparity between metabolites and lipids complicates simultaneous analysis.To address this,a dual-stationary phase polarity-extended liquid chromatography(PELC)system was developed,which surpassed conventional one-dimensional LC(1D-LC)by enabling comprehensive coverage of both polar and non-polar compounds within a single injection.This system enhanced chromatographic resolution,peak capacity,and throughput while minimizing analytical variability.Extracellular vesicles(EVs),lipid bilayer-enclosed nanoparticles ubiquitously present in biofluids,had gained prominence as reservoirs of cancer biomarkers due to their cargo stability and pathophysiological relevance.Herein,the application of PELC-HRMS for concurrent metabolome-lipidome profiling in EVs was pioneered.A total of 193 metabolites were identified using this technique coupled with MS-DIAL software and Human Metabolome Database.Subsequently,this technique was employed to explore potential biomarkers for prostate cancer(PCa).Multivariate analysis identified 17 differentially abundant metabolites in PCa,implicating dysregulated pathways including purine metabolism,starch and sucrose metabolism,galactose metabolism,cysteine and methionine metabolism,and biosynthesis of unsaturated fatty acids.Notably,creatine(AUC=0.92)and DG 42:5(AUC=0.80)demonstrated robust diagnostic efficacy,attributable to their broad polarity ranges and EV-specific enrichment.This study established PELC as a high-fidelity platform for multi-omics integration in complex biospecimens,advancing mechanistic insights into metabolic rewiring and disease pathophysiology.

Ketamine is a dissociative anesthetic.It is clinically used as a surgical anesthetic or anes-thetic inducer and has a certain degree of mental dependence.Its abuse can lead to nerve damage,ad-verse emotional reactions and other toxic side effects.The primary mechanism by which ketamine exerts its pharmacological effects is to block N-methyl-D-aspartate receptors(NMDAR).It also functions through pathways such as α-amino-3-hydroxy-5-methyl-4-isox-azolepropionic acid receptors(AMPAR),opioid receptors,γ-aminobutyric acid(GABA)receptors,monoaminergic receptors,cholinergic recep-tors,hyperpolarization-activated cyclic nucleotide-gated(HCN)channels,voltage-gated sodium channels,and L-type voltage-dependent calcium channels(VDCC).This article summarizes the molecular mecha-nism and toxic effects of ketamine's pharmacological functions,in order to provide a basis for foren-sic applications such as the identification of symptomatic phenotypes of ketamine toxic effects and the identification of ketamine abuse.