Background The quality of occupational health technical services is directly linked to the protection of workers' health rights and the efficacy of occupational disease prevention and control. However, the industry still faces critical challenges: sporadic instances of institutional non-compliance and persistent irregularities in professional practice continue to undermine overall service performance. Objective To assess the current quality status of occupational health technical services in Zhejiang Province and propose countermeasures for quality improvement, providing a scientific basis for policy optimization and service delivery quality enhancement. Methods A total of 69 occupational health technical service institutions in Zhejiang Province that obtained formal accreditation as of April 30, 2024, were sampled, including 3 public institutions and 66 private institutions (comprising 3 formerly Class-A, 28 formerly Class-B, 11 formerly Class-C, and 24 newly certified institutions). Following the Technical Protocol for Quality Monitoring of Occupational Health Technical Service in Zhejiang Province and the Technical Protocol for Proficiency Testing of Occupational Health Detection in Zhejiang Province, a quality assessment task force comprising national and provincial experts was established. Evaluation was conducted across four dimensions: qualification maintenance and compliance, standardization of technical services, authenticity of technical services, and proficiency testing, utilizing a combination of document review, on-site inspections, and technical skill assessments. Results The occupational health technical service institutions in Zhejiang Province were predominantly private entities (82.5%), with significant disparities in overall service quality. The pass rates for qualification maintenance and compliance, technical service standardization, technical service authenticity, and the excellence rate for laboratory proficiency testing were 81.5%, 80.7%, 97.3%, and 90.4%, respectively. Regarding qualification maintenance, the pass rates for "environmental conditions" (49.8%, 56.7%) and "instrumentation and equipment" (58.2%、65.6%) were significantly lower for formerly Class-C and newly certified institutions compared to other categories. In terms of technical standardization, "standardized on-site inspections" recorded the lowest pass rate (67.4%), with newly certified institutions at only 48.0%. Regarding technical service authenticity, formerly Class-C institutions exhibited issues such as missing raw chromatograms for blank samples (85.7% pass rate). In laboratory proficiency testing, public and formerly Class-A institutions achieved 100% excellence rates, but the performance of formerly Class-C and newly certified institutions was comparatively weak; specifically, the failure rate for organic analysis in formerly Class-C institutions reached 20%; the failure rate for dust testing items in newly certified institutions was 10.3%. Conclusion The overall quality of occupational health technical services in Zhejiang Province still requires significant improvement, particularly in basic institutional conditions, the standardization of on-site inspections, and laboratory proficiency in organic and dust analysis. Formerly Class-C and newly certified institutions should be the primary focus of quality management efforts. Differentiated regulatory strategies are recommended, alongside strengthening interim and ex-post supervision to gradually enhance the quality of occupational health technical services across all institutions.

Osteoarthritis (OA), a highly prevalent degenerative joint disease worldwide, is defined by articular cartilage degradation, abnormal bone remodeling, and persistent chronic inflammation. It severely compromises patients’ quality of life, and currently, there is no radical cure. Abnormal mechanical stress is widely regarded as a core driver of OA pathogenesis, and the exploration of mechanical signal perception and transduction mechanisms has become crucial for deciphering OA’s pathophysiological processes. Piezo1, a key mechanosensitive cation channel belonging to the Piezo protein family, has recently gained significant attention due to its pivotal role in mediating cellular responses to mechanical stimuli in joint tissues. This review systematically examines Piezo1’s expression patterns, regulatory mechanisms, and pathological functions in OA, with a particular focus on its dual roles in modulating chondrocyte homeostasis and bone metabolism disorders, while also delving into the underlying molecular signaling pathways and potential therapeutic implications. Piezo1, consisting of approximately 2 500 amino acids and forming a unique trimeric propeller-like structure, is widely expressed in chondrocytes, osteocytes, mesenchymal stem cells, and synovial cells. It exhibits permeability to cations such as Ca²⁺, K⁺, and Na⁺, and directly responds to membrane tension changes induced by mechanical stimuli like fluid shear stress and mechanical overload. In OA patients and animal models, Piezo1 expression is significantly upregulated, especially in cartilage regions subjected to abnormal mechanical stress (e.g., human temporomandibular joint cartilage). This overexpression is closely associated with aggravated cartilage degeneration, increased chondrocyte apoptosis, accelerated cellular senescence, and intensified inflammatory responses. Mechanical overload and pro-inflammatory cytokines (e.g., IL-1β) are key inducers of Piezo1 upregulation: IL-1β activates the PI3K/AKT/mTOR signaling pathway to enhance Piezo1 expression, forming a pathogenic positive feedback loop that inhibits chondrocyte autophagy, promotes apoptosis, and further accelerates joint degeneration. Mechanistically, Piezo1 mediates OA progression through multiple interconnected pathways. When activated by mechanical stress, Piezo1 triggers excessive Ca²⁺ influx, leading to endoplasmic reticulum stress (ERS) and mitochondrial dysfunction, which directly induce chondrocyte apoptosis. This process involves the activation of downstream signaling cascades such as cGAS-STING and YAP-MMP13/ADAMTS5. YAP, a transcriptional regulator, upregulates the expression of matrix metalloproteinase 13 (MMP13) and aggrecanase (ADAMTS5), thereby accelerating cartilage matrix degradation. Additionally, Piezo1-driven Ca²⁺ overload promotes the accumulation of reactive oxygen species (ROS) and upregulates senescence markers (p16 and p21), accelerating chondrocyte senescence via the p38MAPK and NF-κB pathways. Senescent chondrocytes secrete senescence-associated secretory phenotype (SASP) factors (e.g., IL-6, IL-1β), further amplifying joint inflammation. In terms of bone metabolism, Piezo1 maintains joint homeostasis by promoting the differentiation of fibrocartilage stem cells into chondrocytes and balancing bone formation and resorption through regulating the FoxC1/YAP axis and RANKL/OPG ratio. Therapeutically, targeting Piezo1 shows promising potential. Preclinical studies have demonstrated that Piezo1 inhibitors (e.g., GsMTx4) can reduce joint damage and alleviate pain in OA mice. Simultaneously, siRNA-mediated co-silencing of Piezo1 and TRPV4 (another mechanosensitive channel) decreases intracellular Ca²⁺ concentration, inhibits chondrocyte apoptosis, and promotes cartilage repair. Conditional knockout of Piezo1 using Gdf5-Cre transgenic mice alleviates cartilage degeneration in post-traumatic OA models by downregulating MMP13 and ADAMTS5 expression. Despite existing challenges, such as off-target effects of inhibitors, inefficient local drug delivery, and interindividual genetic variability, strategies like developing selective Piezo1 antagonists, optimizing targeted nanocarriers, and combining Piezo1-targeted therapy with physical therapy provide viable avenues for clinical translation. The authors propose that Piezo1 serves as a critical therapeutic target for OA, and future research should focus on deciphering its context-dependent regulatory networks, developing tissue-specific intervention strategies, and validating their efficacy and safety in clinical trials to address the unmet medical needs of OA patients.

Acute kidney injury (AKI) is a prevalent and life-threatening clinical syndrome characterised by a rapid decline in renal function and diverse pathological etiologies. The condition has been demonstrated to be associated with elevated mortality rates and an increased risk of progression to chronic kidney disease. At present, clinicians depend heavily on conventional functional markers, such as serum creatinine and urine output, for the diagnosis and staging of the disease. It is evident that these conventional indicators characteristically manifest a considerable temporal delay and only undergo modification subsequent to considerable tissue damage. This severely restricts the timeframe for early detection and timely therapeutic intervention. Furthermore, standard markers fail to provide specific biological information regarding the underlying cellular injury mechanisms. The utilisation of advanced probe technologies in molecular imaging offers a robust alternative to overcome these inherent diagnostic limitations.This comprehensive review systematically evaluates recent progress in the design and application of two primary categories of molecular imaging tools for acute kidney disease, specifically reactive probes and enzyme-activated probes. Reactive probes are engineered to specifically interact with redox-active chemical species, including hydrogen peroxide, peroxynitrite, hypochlorous acid, and sulfur dioxide. Because oxidative stress constitutes a primary early event in acute renal tubular damage, these probes enable researchers and clinicians to visualize early cellular injury and radical accumulation well before global renal functional decline becomes evident. We discuss the application of these reactive probes across multiple imaging modalities including fluorescence imaging, magnetic resonance imaging (MRI), positron emission tomography (PET), and photoacoustic techniques. Photoacoustic imaging combines high spatial resolution with deep tissue penetration and has successfully demonstrated the ability to provide diagnostic alerts up to 12 h before any detectable rise in serum creatinine levels. Additionally, specific reactive probes have shown promising translational potential when tested by high-throughput screening in clinical human urine samples. Enzyme-activated probes target the specific catalytic activity of disease-relevant enzymes. These include well-documented renal tubular structural biomarkers such as NAG, GGT, and ALP, along with apoptosis-related caspases and specific nitroreductases. By responding only to enzymatic cleavage, these tools provide highly specific and pathology-directed imaging readouts. Recent structural design strategies in this field have advanced significantly beyond single-enzyme detection. Researchers are now focusing on sophisticated dual-target recognition to minimize background noise, multimodal integration to cross-validate imaging signals, and theranostic applications where probes simultaneously deliver diagnostic feedback and therapeutic agents to injured tissues. Nanotechnology serves as a fundamental enabler for realizing these advanced probe functions. By precisely optimizing nanoparticle parameters such as hydrodynamic size, surface charge, and targeting ligands, researchers can achieve amplified signal output, highly precise kidney delivery, and protection against premature degradation in the systemic circulation. For example, modifying surface charges can significantly enhance the active uptake of nanoprobes by damaged renal tubular epithelial cells.While preclinical probe development has progressed rapidly, moving these technologies into routine clinical practice remains a major challenge. We analyze the translational feasibility and current obstacles from biological, technological, and regulatory perspectives. Although biological targets such as KIM-1, FAP, and ALP have been validated in extensive patient cohorts, practical barriers severely limit their immediate clinical application. These obstacles involve complex changes in in vivo pharmacokinetics. During an acute injury episode, the extreme drop in the glomerular filtration rate alters probe clearance and can cause unwanted systemic accumulation or confusing background imaging signals. Other major hurdles include a lack of comprehensive long-term toxicity data and the absence of standardized manufacturing protocols to ensure batch-to-batch consistency. Future successful translation will require rigorous multi-center clinical studies to confirm the true diagnostic value of these probes over traditional markers. Researchers must also establish strict standardization of imaging procedures and comprehensive safety evaluations. Ultimately, this review provides a thorough reference framework for designing clinically translatable molecular probes and building a precision diagnostic imaging system for acute kidney injury.

Objective To investigate the association between school bullying and comorbidity of overweight/obesity and depressive symptoms in middle school students, and to provide a basis for formulating intervention strategies for the prevention and control of common diseases and comorbidities among students. Methods In September 2023, a stratified cluster random sampling method was employed to select junior high school, high school, and vocational high school students in 103 districts and counties across 17 cities (prefectures) in Hubei Province. A questionnaire survey was conducted on these students regarding school bullying and depressive symptoms, and physical measurements of height and weight were taken. The association between school bullying and comorbidity of overweight/obesity and depressive symptoms was analyzed using a logistic regression model. Results A total of 99 921 middle school students aged 11-19 years old were included in the study. The detection rate of overweight/obesity was 29.39%, the detection rate of depressive symptoms was 31.15%, and the detection rate of comorbidity of overweight/obesity and depressive symptoms was 9.15%. Among all students, 24.12% reported experiencing school bullying. Multivariate logistic regression analysis showed that experiencing school bullying was positively associated with the comorbidity of overweight/obesity and depressive symptoms among middle school students (OR = 2.692, 95% CI: 2.571-2.817, P < 0.001). Stratified analysis results showed that both male and female students who experienced school bullying were more likely to have comorbidity of overweight/obesity and depressive symptoms (OR values were 2.756 for males and 2.594 for females; P values were both < 0.001). Students in all educational stages who experienced school bullying had an increased risk of comorbidity of overweight/obesity and depressive symptoms (OR values were 2.739 for junior high, 2.676 for senior high, and 2.378 for vocational high; P values were all < 0.001). Conclusion The comorbidity of overweight/obesity and depressive symptoms among middle school students is widespread, and there is a significant association between school bullying and comorbidity of overweight/obesity and depressive symptoms. It is necessary to strengthen the prevention and control of school bullying to promote the healthy physical and mental development of adolescents.

Objective: To examine the association between health behaviors and depressive symptoms among junior and senior high school students, so as to provide evidence for combined behavioral interventions targeting adolescent mental health. Methods: From September to November 2023, a stratified cluster random sampling method was used to recruit 104 834 junior and senior high school students from all 13 prefecture level cities (124 districts/counties) in Heilongjiang Province, China. Multivariable Logistic regression models, as well as multiplicative and additive interaction analyses were employed to analyze the associations between health behaviors and depressive symptoms, and Chi-square tests for trend were conducted to explore ,the changing tendency in the risk of depressive symptoms with increasing numbers of health behaviors among junior and senior high school students. Results: Healthy diet ( OR =0.66, 95% CI =0.63-0.68), healthy physical activity ( OR =0.47, 95% CI =0.45-0.49), healthy outdoor activity ( OR =0.55, 95% CI =0.52-0.57), healthy sleep ( OR =0.72, 95% CI =0.69-0.75), and healthy screen use ( OR =0.79, 95% CI =0.76-0.82) were independently associated with lower rates of depressive symptoms (all P <0.01). The risk of depressive symptoms decreased progressively with an increasing cumulative number of health behaviors ( χ 2 trend =996.73, P <0.01). Except for the interaction between healthy diet and healthy sleep, significant additive interactions were observed among the remaining health behaviors( RERI =0.07-0.23,all P <0.05). The probability of depressive symptoms was lower among girls with 2-3 healthy behaviors than among boys ( Z =2.51, 2.65), lower among urban students with 2-3 healthy behaviors than among suburban county students ( Z =-2.36, -2.04), and lower among senior high school students with 2-4 healthy behaviors than among junior high school students ( Z =2.17, 2.10, 2.04) (all P <0.05). Conclusions Health behaviors are significantly associated with depressive symptoms among junior and senior high school students. The probability of depressive symptoms is lower among girls, urban students, and senior high school students who engage in multiple healthy behaviors. Implementing combined interventions targeting multiple health behaviors in these populations may yield greater benefits.

ObjectiveTo investigate the changing trend of hemoglobin （Hb） and related influencing factors in patients with liver failure after artificial liver support system （ALSS） therapy. MethodsA total of 106 patients with liver failure who were hospitalized and received ALSS therapy in our hospital from January to December 2018 were enrolled and analyzed in terms of clinical data and red blood cell parameters such as Hb， mean corpuscular volume （MCV）， mean corpuscular hemoglobin （MCH）， mean corpuscular hemoglobin concentration （MCHC）， and red blood cell distribution width-coefficient of variation （RDW-CV）. A one-way repeated-measures analysis of variance was used for comparison of continuous data with repeated measurement between groups， and the paired t-test was used for comparison between two groups. The Kruskal-Wallis H test was used for comparison of continuous data with skewed distribution between multiple groups， the Mann-Whitney U test was used for further comparison between two groups. Univariate and multivariate linear regression analyses were used to identify the influencing factors for the reduction in Hb after ALSS therapy. ResultsThe 106 patients with liver failure received 606 sessions of ALSS therapy， and Hb was measured for 402 sessions before and after treatment. There was a significant reduction in Hb after ALSS therapy in the patients with liver failure （97.49±20.51 g/L vs 109.38±20.22 g/L， t=32.764， P<0.001）. Longitudinal observation was further performed for 14 patients with liver failure， and the results showed that the level of Hb was 108.50±21.61 g/L before the last session of ALSS therapy， with certain recovery compared with the level of Hb （103.14±19.15 g/L） on the second day after ALSS， and there was an increase in Hb on day 3 （102.57±21.73 g/L） and day 7 （105.57±22.04 g/L） after surgery. The level of Hb in patients with liver failure on the second day after ALSS decreased with the increase in the number of ALSS sessions （F=8.996， P<0.001）， while MCV and MCH gradually increased with the increase in the number of ALSS sessions （F=9.154 and 13.460， P=0.004 and P<0.001）， and RDW-CV first gradually increased and then gradually decreased （F=4.520， P=0.032）； MCHC showed fluctuations with no clear trend （F=0.811， P=0.494）. The multivariate linear regression analysis showed that the duration of ALSS therapy， the mode of ALSS therapy， and initial treatment were independent risk factors for the reduction in Hb after ALSS therapy. ConclusionALSS therapy can influence the level of peripheral blood Hb in patients with liver failure， and patient blood management should be strengthened for patients with liver failure who are receiving ALSS therapy.

Objective:To explore the mechanism of Shenfu Injection in treating chronic heart failure (CHF) based on Fas/FasL apoptosis signaling pathway.Methods:A total of 70 SPF male C57BL/6 mice were divided into blank group (15 mice) and model group (55 mice) according to random number table. The CHF model was prepared by intraperitoneal injection of isoproterenol. After 4 weeks, the successfully modeled mice were randomly divided intoa model group, Shenfu Injection group, and Western medicine group using a random number table method. After adfministration for 15 d, the left ventricular ejection fraction (LVEF) and left ventricular shortening fraction (LVFS) of each group of mice were measured by heart color ultrasound 1; serum NT-proBNP was detected by enzyme-linked immunosorbent assay (ELISA); Hematoxylin-eosin staining (HE) was used to observe the changes of myocardial tissue morphology; TUNEL pod method was used to detect apoptosis; the mRNA transcription levels of tumor necrosis factor-α (TNF-α), Fas, Fas ligand (FasL), Caspase-3 and Caspase-8 were detected by RT-PCR; protein expression levels of TNF-α, Fas, FasL, Caspase-3 and Caspase-8 in myocardial tissue were detected by Western blot. The logarithmically grown H9c2 cells were divided into blank group, model group and Shenfu Injection group. The cells in blank group were cultured for 48 hours; cells in the model group were exposed to 80 μmol/L isoproterenol for 48 hours; cells in Shenfu Injection group were pretreated with 5 μl/ml Shenfu injection for 3 hours and exposed to 80 μmol/L isoproterenol for 48 h. The cell growth was observed under microscope. Western blot and RT-PCR were used to detect the expression of related proteins and mRNA transcription. TUNEL pod and flow cytometry were used to detect apoptosis.Results:Compared with the model group, the cardiac function improved in the model group and Shenfu Injection group, serum NT ProBNP levels decreased ( P<0.01 or P<0.05), myocardial cell injury and apoptosis were reduced ( P<0.01 or P<0.05), and the mRNA and protein expression of TNF-α, Fas, FasL, Caspase-3, Caspase-8 in myocardial tissue decreased ( P<0.01 or P<0.05). The H9c2 cells in the blank group were spindle shaped with clear structure; the myocardial cells in the model group shrank and became shorter, with blurred cell boundaries and exhibiting apoptotic and necrotic morphology; Most H9c2 cells in the reference group were spindle shaped, with reduced cell death and increased density. Compared with the model group, the levels of TNF-α, Fas, FasL, Caspase-3, Caspase-8 protein and mRNA in H9c2 cells of the Shenfu Injection group decreased ( P<0.01 or P<0.05), and the apoptosis rate decreased ( P<0.01). Conclusion:Shenfu Injection may improve cardiac function and cardiomyocyte apoptosis of CHF mice through Fas/FasL signaling pathway.

Objective To carry out a joint simulation exercise of tabletop deduction for the staff performing overseas medical services on hospital ships,so as to improve the infection prevention and control.Methods Sixty mission members were selected by convenience sampling to carry out joint simulation drills for tabletop deduction.The effects of the drills were assessed by the survey on the satisfaction and participation of mission members,before-and-after control study,and mission execution.Results Overseas medical service tasks were successfully completed through the desktop-propelled joint simulation drills.The total score of response for infectious emergencies,prevention score,preparedness score,and rescue score after training were higher than those before training(P<0.05).There were high degrees of participation and satisfaction in the drills(≥4.5 points).Conclusion The tabletop deduction and simulation exercise achieve good results in the infection prevention and control of hospital ships.The scheme of tabletop deduction combined with simulation drills will be optimized to continuously improve the infection prevention and control of hospital ships.

Lung cancer has the highest incidence and mortality among malignant tumors in China.Persistent subsolid nodules(SSNs)are closely associated with early-stage lung adenocarcinoma.Artificial intelligence(AI),as an emerging technology,is capable of performing in-depth analysis of large-scale imaging data through autonomous learning and possesses the ability to predict outcomes from new data,demonstrating great potential and application prospects in the assessment of SSNs.AI can not only effectively assist radiologists in diagnosis and treatment,but also improve work efficiency while reducing misdiagnosis and missed diagnosis rates.This review summarizes the recent applications and research progress of AI in the assessment of SSNs,to provide new insights for the diagnosis and treatment of SSNs.

Objective To investigate the risk factors for pneumonia complicating infectious mononucleosis(IM)in adults and construct a nomogram prediction model.Methods A retrospective analysis was conducted on 198 IM patients admitted to the Second Affiliated Hospital of Air Force Medical University from January 2015 to December 2021.Patients were divided into pneumonia group(n=52)and non-pneumonia group(n=146)based on whether pulmonary infection occurred during hospitalization.The baseline data(age,gender,place of onset,etc.),clinical manifestations(maximum body temperature,lymph node enlargement,splenomegaly,etc.),and inflammatory indicators[white blood cell count(WBC),C-reactive protein(CRP),etc.]were compared between the two groups.Kaplan-Meier curves were plotted to analyze the key indicators affecting the hospital stay of IM patients.Multivariate logistic regression was used to analyze the independent risk factors for pneumonia complicating IM in adults and construct a nomogram prediction model based on the identified risk factors.The predictive efficacy of the model was evaluated using the receiver operating characteristic(ROC)curve and the consistency of the model was assessed using the calibration curve.The fit of the model was evaluated using the Hosmer-Lemeshow test.Additionally,the sensitivity,specificity,and accuracy of the model were assessed using confusion matrix.Results Compared with non-pneumonia group,the pneumonia group had a significantly higher proportion of patients from rural areas,with body mass index(BMI)≥24 kg/m2,smoking history,hepatomegaly,fever duration of≥7 d,as well as increased total hospitalization costs and average daily hospitalization costs,and prolonged hospital stay(P<0.05).The proportion of patients with a history of antibiotic use was lower in the pneumonia group(P<0.05).Kaplan-Meier survival analysis showed that patients from rural areas,with BMI≥24 kg/m2,smoking history,no prophylactic use of antibiotics,fever duration≥7 d,and hepatomegaly had significantly prolonged hospital stays(P<0.05).Multivariate logistic regression analysis revealed that living in a rural area(OR=4.089,P<0.05),hepatomegaly(OR=4.082,P<0.05),and elevated WBC(OR=1.205,P<0.05)were independent risk factors for pneumonia complicating IM in adults,while the prophylactic use of antibiotics(OR=0.142,P<0.05)was an independent protective factor.The area under the ROC curve of the constructed nomogram prediction model was 0.827(95%CI 0.762-0.892),and the slope of the calibration curve was close to 1,and the Hosmer-Lemeshow test showed χ2=5.299,P=0.725,indicating good consistency and fit of the prediction model.The results of the confusion matrix assessment showed that the sensitivity of the model was 0.669(0.624-0.773),the specificity was 0.827(0.724-0.930),and the accuracy was 0.732(0.665-0.793).Conclusion The nomogram prediction model based on place of onset,hepatomegaly,the prophylactic use of antibiotics and WBC has excellent fit and discrimination,providing an effective quantitative tool for prognosis assessment of IM.