Objective To establish an oxidative stress mouse model of atopic dermatitis (AD) by applying 2,4-dinitrofluorobenzene (DNFB) to the back and post-auricular skin of KM mice, and to evaluate the regulatory role of the RAGE-NLRP3 axis (receptor for advanced glycation end products-NOD-like receptor family, pyrin domain containing 3 axis) in AD-related oxidative stress, thereby providing a potential therapeutic target for AD treatment. Methods Twenty SPF-grade female KM mice were randomly divided into a control group (Control group) and an experimental group (DNFB group), with 10 mice in each group. Mice in the Control group were treated with an acetone-olive oil vehicle (acetone: olive oil = 3:1) on their back and post-auricular skin. Mice in the DNFB group were treated with 0.5% DNFB (prepared by adding 0.5 g DNFB per 100 mL of acetone-olive oil vehicle) on the same areas, once daily for 14 consecutive days. The severity of skin lesions was scored on days 2, 4, 6, 9, 12, and 14 of treatment. On day 14, scratching behavior and ear thickness were evaluated. Ear swelling was evaluated on the final day by measuring bilateral ear thickness three times with a vernier caliper; the three measurements were averaged. HE staining was used to observe morphological and structural changes of cells in the back skin tissues. The mRNA and protein expression levels of RAGE (receptor for advanced glycation end products) in skin tissues were detected by quantitative real-time PCR, Western blot, and immunohistochemical staining. The mRNA expression levels of oxidative stress-related molecules, including NLRP3 (NOD-like receptor family, pyrin domain containing 3), caspase-1 (cysteine-dependent aspartate-specific protease 1), and IL-1β (Interleukin-1β), were detected by quantitative real-time PCR. Results On day 14, the back skin lesion scores of the Control group and DNFB group were (0.20±0.42) and (9.93±1.30) (P<0.000 1), respectively. Scratching behavior scores were (5.00±2.05) and (49.26±8.49) episodes, respectively (P<0.000 1), and ear thicknesses were (213.00±11.87) μm and (765.93±140.47) μm (P<0.000 1), respectively. The DNFB group exhibited marked skin dryness, desquamation, and thickening. HE staining results showed that skin inflammation was obvious in the DNFB group, consistent with the pathological features of AD. Quantitative real-time PCR and Western blot results showed that compared with the Control group, the mRNA expression level of RAGE in skin tissues of the DNFB group was significantly increased (P<0.05), and the protein expression level of RAGE was also significantly increased (P<0.01). Immunohistochemical staining results showed that compared with the Control group, skin tissue sections of the DNFB group exhibited thickened stratum corneum and fibrotic proliferation of fibroblasts in the interstitium under microscopic observation, with a significant increase in RAGE protein expression in the skin tissues (P<0.01). Quantitative real-time PCR results showed that the mRNA expression levels of NLRP3, caspase-1, and IL-1β in skin tissues of the DNFB group were all significantly increased (P<0.01). Conclusion The AD mouse oxidative stress model has been successfully established by topical DNFB application. RAGE may promote the development of AD by regulating the NLRP3 inflammasome and IL-1β release, forming an oxidative-inflammatory cascade, suggesting that it could be a potential therapeutic target for AD.

As a major challenge in the global field of critical care medicine, sepsis is associated with high morbidity and mortality, driving intensive research into the development of precise risk prediction models. Among these, machine learning and deep learning-based predictive models have garnered particular attention. This article systematically reviews the evolution of sepsis risk prediction models and the challenges associated with their clinical translation, with a focus on their clinical applicability in common septic complications, including acute kidney injury, encephalopathy, and coagulation disorders. Current evidence indicates that machine learning models, by integrating multidimensional dynamic data from electronic health records, significantly enhance early warning capabilities and individualized predictive performance. However, major bottlenecks limiting clinical translation include insufficient data standardization, lack of model interpretability, and inadequate external validation. Future research should prioritize multicenter collaboration, time-series modeling strategies, and explainable artificial intelligence frameworks to optimize clinical translation pathways and facilitate the paradigm shift from traditional empirical approaches to data-driven precision strategies in sepsis risk stratification.

Background: and Purpose In patients with large vessel occlusion (LVO), intravenous thrombolysis (IVT) frequently alters thrombus location; however, the clinical impact of this phenomenon remains unclear. We aimed to compare post-IVT thrombus dynamics between tenecteplase and alteplase and to evaluate the association between thrombus dynamics and 3-month outcomes. Methods: This retrospective study analyzed prospectively collected, multicenter data from consecutive patients with LVO who underwent bridging therapy between January 2022 and December 2024. Thrombus dynamics were classified as resolution, migration, or stability. Analyses incorporated propensity score matching with weighting to balance baseline characteristics. Results: Of the 806 initially included patients, 746 were included after matching (373 treated with tenecteplase and 373 treated with alteplase). The incidence of thrombus migration was significantly higher in the tenecteplase group than in the alteplase group (19.3% vs. 11.3%; odds ratio [OR]: 1.92; 95% confidence interval [CI] 1.27–2.91). The advantage of tenecteplase over alteplase was restricted to patients with an IVT-to-puncture time of <60 minutes (18.6% vs. 6.2%; p=0.001) and was no longer significant when the interval ≥60 minutes (19.7% vs. 15.0%; p=0.204; pinteraction=0.043). Additionally, thrombus migration was associated with a better functional outcome (OR: 1.62; 95% CI 1.04–2.53). Finally, tenecteplase was associated with improved functional independence compared with alteplase (OR: 1.43; 95% CI 1.04–1.95). Conclusions Tenecteplase demonstrated superior efficacy in inducing thrombus migration compared with alteplase, particularly within 60 minutes of IVT administration. Thrombus migration independently predicted improved functional independence. These findings support the preferential use of tenecteplase for bridging therapy in patients with LVO.

Radiation health testing is one of the important basic work of radiation health. In order to strengthen the quality control of radiation health testing, various provinces have successively established radiation health quality control centers since 2009, which have played an important role in the standardization and normalization of radiation health testing. National policies and sustained incentives from various provinces will accelerate the construction of radiation health testing and quality control centers. It will improve the level of radiation health technology by competency validation for radiation health testing.

Objective:To investigate the effect of peripheral white blood cell(WBC) count on adverse pregnancy outcomes.Methods:A retrospective analysis was conducted on pregnant women who delivered at Minhang Hospital affiliated with Fudan University between January 2013 and June 2020. Demographic data, WBC counts, and diagnostic information on gestational diabetes mellitus(GDM), gestational hypertension, and preeclampsia/eclampsia were extracted from electronic medical records. Logistic regression models were used to evaluate the association between WBC counts in the first(WBC-1) and second trimesters(WBC-2) and metabolically related pregnancy outcomes.Results:A total of 24 143 pregnant women were included, with a mean age of(29.1±4.9) years and a mean pre-pregnancy body mass index(BMI) of(21.1±2.8) kg/m 2. The mean WBC counts in the first and second trimesters were 8.1×10 9/L and 8.9×10 9/L, respectively. The incidence rates of GDM, gestational hypertension, and preeclampsia/eclampsia were 5.6%, 4.8%, and 1.8%, respectively. After adjusting for relevant confounders, a core standard deviation( s) increase in WBC-1 was associated with a 6%, 18%, and 14% increased risk of GDM, gestational hypertension, and preeclampsia/eclampsia, respectively( P<0.001). Similarly, a one s increase in WBC-2 was associated with a 10% increased risk for all three adverse outcomes( P<0.001). Conclusion:Elevated peripheral WBC levels in the first and second trimesters are independently associated with increased risk of adverse pregnancy outcomes, independent of traditional risk factors.

Esophageal cancer is the eighth most common malignant tumor in the world, and China is a country with high incidence of esophageal cancer. Currently, The treatment options for resectable esophageal cancer is multidisciplinary comprehensive treatment based on surgery. In recent years, minimally invasive esophageal cancer surgery has been increasingly used in clinical practice, especially McKeown minimally invasive esophagectomy(MIE) has become the most minimally invasive esophagectomy currently used in China. But how effective is the McKeown MIE for esophageal cancer compared to the open McKeown and other minimally invasive esophageal cancer procedures? A detailed comprehensive description is not yet available. In this paper, We will summarize the clinical studies related to McKeown MIE and traditional open McKeown, Ivor-Lewis MIE, Sweet operation and robot-assisted McKeown MIE, and systematically analyze them, so as to clarify the value of McKeown MIE surgery in the treatment of esophageal cancer.

Natural products (NPs) have historically been a fundamental source for drug discovery. Yet the complex nature of NPs presents substantial challenges in pinpointing bioactive constituents, and corresponding targets. In the present study, an innovative natural product virtual screening-interaction-phenotype (NP-VIP) strategy that integrates virtual screening, chemical proteomics, and metabolomics to identify and validate the bioactive targets of NPs. This approach reduces false positive results and enhances the efficiency of target identification. Salvia miltiorrhiza (SM), a herb with recognized therapeutic potential against ischemic stroke (IS), was used to illustrate the workflow. Utilizing virtual screening, chemical proteomics, and metabolomics, potential therapeutic targets for SM in the IS treatment were identified, totaling 29, 100, and 78, respectively. Further analysis via the NP-VIP strategy highlighted five high-confidence targets, including poly [ADP-ribose] polymerase 1 (PARP1), signal transducer and activator of transcription 3 (STAT3), amyloid precursor protein (APP), glutamate-ammonia ligase (GLUL), and glutamate decarboxylase 67 (GAD67). These targets were subsequently validated and found to play critical roles in the neuroprotective effects of SM. The study not only underscores the importance of SM in treating IS but also sets a precedent for NP research, proposing a comprehensive approach that could be adapted for broader pharmacological explorations.

Prolonged disorders of consciousness(pDoC)are complex and prolonged conditions that severely impact patient prognosis and remain a clinical treatment challenge.In recent years,neural regulation-based awakening therapies have been widely applied in the assessment and treatment of pDoC patients.Repetitive transcranial magnetic stimulation(rTMS)technology can regulate neural activity and improve patients'consciousness states,demonstrating positive awakening effects for pDoC patients.However,the optimal stimulation parameters and awakening mechanisms of rTMS remain unclear.This article reviews the pathological mechanisms of pDoC,clinical applications of rTMS at different targeting sites and stimulation frequencies,and focuses on exploring how rTMS promotes consciousness recovery through neural mechanisms such as altering neural pathways,reshaping brain networks,promoting synaptic plasticity and neurotransmitter release,regulating neurotrophic factor expression,and modulating cerebral hemodynamics.Based on artificial intelligence,the article also prospects the future clinical research applications of rTMS.

Objective To analyze the current status and influencing factors of occupational stress, job burnout and sleep quality among workers in the secondary industry in Jinshan District, Shanghai City. Methods A total of 1 418 workers from six key industries in Jinshan District, Shanghai City were selected as the study subjects by the stratified cluster sampling method. The Occupational Stress Core Scale, Maslash Burnout Inventory General Survey and Pittsburgh Sleep Quality Index were used to investigate occupational stress, job burnout and sleep quality of the workers. Results The detection rates of occupational stress, job burnout and sleep disturbance among the study subjects were 33.6%, 65.4% and 23.3%, respectively. Multivariate logistic regression analysis showed that the workers with a monthly income <5 000 yuan had a higher risk of occupational stress than those with a monthly income ≥5 000 yuan (P<0.01). The workers with ≥5.0 years of service had a higher risk than those with <1.0 year (P<0.05). Lack of physical exercise, employment in medium- and large-sized enterprises, and shift work were risk factors of occupational stress in the workers (all P<0.01). The workers aged 18-<30 years had a higher risk of job burnout than those aged 45-<60 years (P<0.05). The workers monthly income <5 000 yuan was associated with a higher risk of job burnout than those with ≥9 000 yuan (P<0.05). The workers with 1.0-<10.0 years or ≥15.0 years of service had higher job burnout risks than those with <1.0 year (all P<0.05). Being unmarried, lack of physical exercise, and employment in medium- and large-sized enterprises were risk factor of job burnout in the workers (all P<0.05). The workers with an educational level of high school or above had a higher risk of sleep disturbance than those with junior school or below (P<0.05). The workers who work >56 hours per week had a higher risk than those working ≤40 hours per week (P<0.01). Conclusion There is a high detection rate of occupational stress, job burnout, and sleep disturbance in the secondary industry workers in Jinshan District, Shanghai City. Special attention should be given to workers with low income, lack of physical exercise, employment in medium- and large-sized enterprises, shift work, long service duration, and long weekly working hours to protect their physical and mental health.

Natural products(NPs)have historically been a fundamental source for drug discovery.Yet the complex nature of NPs presents substantial challenges in pinpointing bioactive constituents,and corresponding targets.In the present study,an innovative natural product virtual screening-interaction-phenotype(NP-VIP)strategy that integrates virtual screening,chemical proteomics,and metabolomics to identify and validate the bioactive targets of NPs.This approach reduces false positive results and enhances the ef-ficiency of target identification.Salvia miltiorrhiza(SM),a herb with recognized therapeutic potential against ischemic stroke(IS),was used to illustrate the workflow.Utilizing virtual screening,chemical proteomics,and metabolomics,potential therapeutic targets for SM in the IS treatment were identified,totaling 29,100,and 78,respectively.Further analysis via the NP-VIP strategy highlighted five high-confidence targets,including poly[ADP-ribose]polymerase 1(PARP1),signal transducer and activator of transcription 3(STAT3),amyloid precursor protein(APP),glutamate-ammonia ligase(GLUL),and glutamate decarboxylase 67(GAD67).These targets were subsequently validated and found to play critical roles in the neuroprotective effects of SM.The study not only underscores the importance of SM in treating IS but also sets a precedent for NP research,proposing a comprehensive approach that could be adapted for broader pharmacological explorations.