The core idea of occupational health risk assessment models is to systematically evaluate occupational health risks according to target hazard characteristics and relevant exposure levels of workers. Occupational exposure assessment is based on concentration, frequency, exposure time, and other indicators that indicate actual exposure of workers to occupational hazards, which is a critical component of health risk assessment. However, the accuracy and comparability of assessment results are affected by differences in parameter assignment for exposure assessment across different studies, as well as insufficient emphasis on multiple occupational hazard exposure. This review aimed to explore the assignment and standardization of exposure assessment parameters for occupational health risk assessment modeling, and systematically sorted out the meaning, assignment methods, and sources of exposure assessment related parameters in commonly used occupational health risk assessment models, with the goal of providing researchers with standardized assessment tools to enhance the scientific rigor and practicality of occupational health risk assessments. Considering the individual differences and temporal fluctuations in occupational exposure, it is recommended that researchers should adopt appropriate sampling strategies, reasonably select sample subjects and time based on the division of similar exposure group (SEG), and conduct statistical inference on the obtained data to derive representative exposure parameters. For combined exposure to chemicals with similar toxic effects, the health risk assessment methods are relatively mature. However, the assessment of combined exposure to hazards with different properties and health effects still lacks scientific authority and needs further research and discussion.

Objective: To identify core acupoint patterns and elucidate the molecular mechanisms of acupuncture for primary depressive disorder (PDD) through data mining and network analysis. Methods: A comprehensive literature search was conducted across PubMed, Embase, Ovid Technologies (OVID), Web of Science, Cochrane Library, China National Knowledge Infrastructure (CNKI), China National Knowledge Infrastructure Database (VIP), Wanfang Data, and SinoMed Database from database foundation to January 31, 2025, for clinical studies on acupuncture treatment of PDD. Descriptive statistics, high-frequency acupoint analysis, degree and betweenness centrality evaluation, and core acupoint prescription mining identified predominant therapeutic combinations for PDD. Network acupuncture was used to predict therapeutic target for the core acupoint prescription. Subsequent protein-protein interaction (PPI) network and molecular complex detection (MCODE) analyses were conducted to identify the key targets and functional modules. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses explored the underlying biological mechanisms of the core acupoint prescription in treating PDD. Results: A total of 57 acupoint prescriptions underwent systematic analysis. The core therapeutic combinations comprised Baihui (GV20), Yintang (GV29), Neiguan (PC6), Hegu (LI4), and Shenmen (HT7). Network acupuncture analysis identified 88 potential therapeutic targets (79 overlapping with PDD), while PPI network analysis revealed central regulatory nodes, including interleukin (IL)-6, IL-1β, tumor necrosis factor (TNF)-α, toll-like receptor 4 (TLR4), IL-10, brain-derived neurotrophic factor (BDNF), transforming growth factor (TGF)-β1, C-X-C motif chemokine ligand 10 (CXCL10), mitogen-activated protein kinase 3 (MAPK3), and nitric oxide synthase 1 (NOS1). MCODE-based modular analysis further elucidated three functionally coherent clusters: inflammation-homeostasis (score = 6.571), plasticity-neurotransmission (score = 3.143), and oxidative stress (score = 3.000). GO and KEGG analyses demonstrated significant enrichment of the MAPK, phosphoinositide 3-kinase/protein kinase B (PI3K/Akt), and hypoxia-inducible factor (HIF)-1 signaling pathways. These mechanistic insights suggested that the antidepressant effects mediated through mechanisms of neuroinflammatory regulation, neuroplasticity restoration, and immune-oxidative stress homeostasis. Conclusion This study reveals that acupuncture alleviates depression through a multi-level mechanism, primarily involving the neuroinflammation suppression, neuroplasticity enhancement, and oxidative stress regulation. These findings systematically clarify the underlying mechanisms of acupuncture’s antidepressant effects and identify novel therapeutic targets for further mechanistic research.

Objective To analyze the correlations between the thoracic electrical impedance tomography(EIT)-derived parameters global inhomogeneity(GI),center of ventilation(COV),regional ventilation delay(RVD),and atelectasis in hospitalized patients,and to explore their effectiveness in evaluating atelectasis.Methods The clinical data of 140 hospitalized patients monitored by thoracic EIT between Sep.2024 and Jan.2025 were retrospectively analyzed.Patients were assigned to 2 groups based on chest computed tomography confirmation of atelectasis within the preceding short-term period during EIT monitoring:non-atelectasis group or atelectasis group.The algorithm software designed with MATLAB was used to acquire GI and COV.RVD was obtained through analysis with the Dr?ger EIT Data Analysis Tool 6.3 software,and patients'general data were concurrently documented.Comparative analysis of EIT-derived parameters between groups was conducted.Multivariate logistic regression analysis was employed to investigate the correlations of GI,COV,and RVD with atelectasis,while receiver operating characteristic curve analysis was performed to assess the efficacy of EIT-derived parameters in evaluating atelectasis.Results A total of 140 patients were enrolled,with 19(13.6%)cases presenting atelectasis.Compared to the non-atelectasis group,the atelectasis group demonstrated significantly higher proportions of male patients and cardiovascular disease and thoracic surgery(non-pulmonary)histories,lower body mass index(BMI),and alongside elevated GI and RVD values with reduced COV(all P＜0.05).Multivariate logistic regression analysis revealed that GI,COV,and RVD maintained independent associations with atelectasis after adjusting for age,gender,BMI,pleural effusion,and emphysema(odds ratio[OR]=1.39,95%confidence interval[CI]1.20-1.67;OR=0.85,95%CI 0.75-0.96;OR=1.22,95%CI 1.09-1.39;all P＜0.05).The area under curve(AUC)values of GI,COV,and RVD for evaluating atelectasis in hospitalized patients were 0.82,0.80,and 0.82,respectively(while RVD demonstrated a higher AUC,its clinical applicability was influenced by respiratory patterns).Conclusion Thoracic EIT-derived parameters GI and COV demonstrate significant correlations with atelectasis and may serve as valuable indicators for evaluating atelectasis in hospitalized patients.

Objective To investigate the systemic immune-inflammation index(SII),albumin to globulin ratio(AGR),and high-sensitivity C-reactive protein(hs-CRP)in patients with ulcerative colitis(UC)compli-cated by Epstein-Barr virus(EBV)infection,and to evaluate their diagnostic value in UC complicated by EBV infection.Methods A total of 237 patients with UC admitted to the hospital from February 2024 to Septem-ber 2024.Patients were divided into a complicated group(150 cases)and a control group(87 cases)based on EBV-DNA test results.The counts of neutrophils,lymphocytes,and platelets,as well as the levels of albumin(ALB),globulin,hs-CRP,and erythrocyte sedimentation rate(ESR)were collected from the patients'routine blood tests,and the parameters of SII and AGR were calculated.Spearman correlation test was used for corre-lation analysis.Multivariate binary Logistic regression was used to analyze the influencing factors of EBV in-fection in UC patients,and receiver operating characteristic(ROC)curve was used to evaluate the diagnostic value of individual and combined detection of various indicators.Results There were statistically significant differences in disease activity,lesion range,ALB,AGR,ESR,hs-CRP,and SII between the complicated group and the control group(P<0.05).Correlation analysis showed that the positive copy number of EBV-DNA in the complicated group was positively correlated with disease activity,hs-CRP,and SII(P<0.05),and nega-tively correlated with ALB and AGR(P<0.05).Multivariate binary Logistic regression analysis indicated that SII and AGR were independent influencing factors for UC patients complicated by EBV infection.The combined detection of ALB,AGR,SII,hs CRP,ESR and various indicators has certain predictive value for UC patients with EBV infection.The area under the curve of the combined detection of ALB,AGR,SII,hs-CRP,ESR and the AUC of the combined detection of SII,AGR,hs-CRP were the largest,and the sensitivity and specificity were also high.Conclusion SII and AGR are independent influencing factors for UC patients com-plicated by EBV infection.The combined detection of SII,AGR,and hs-CRP has good diagnostic value for UC complicated by EBV infection and could serve as valuable biomarkers for evaluating UC complicated by EBV infection.

Objective To mine and analyze the routine blood test data of children with allergic rhinitis (AR), identify routine blood parameters related to childhood allergic rhinitis, establish an effective diagnostic model, and evaluate the performance of the model. Methods This study was a retrospective study of clinical cases. The experimental group comprised a total of 1110 children diagnosed with AR at the First Affiliated Hospital of Air Force Medical University during the period from December 12, 2020 to December 12, 2021, while the control group included 1109 children without a history of allergic rhinitis or other allergic diseases who underwent routine physical examinations during the same period. Information such as age, sex and routine blood test results was collected for all subjects. The levels of routine blood test indicators were compared between AR children and healthy children using comprehensive intelligent baseline analysis, with indicators of P≥0.05 excluded; variables were screened by Lasso regression. Binary Logistic regression was used to further evaluate the influence of multiple routine blood indexes on the results. Five kinds of machine model algorithms were used, namely extreme value gradient lift (XGBoost), logistic regression (LR), gradient lift decision tree (LGBMC), Random forest (RF) and adaptive lift algorithm (AdaBoost), to establish the diagnostic models. The receiver operating characteristic (ROC) curve was used to screen the optimal model. The best LightGBM algorithm was used to build an online patient risk assessment tool for clinical application. Results Statistically significant differences were observed between the AR group and the control group in the following routine blood test indicators: mean cellular hemoglobin concentration (MCHC), hemoglobin (HGB), absolute value of basophils (BASO), absolute value of eosinophils (EOS), large platelet ratio (P-LCR), mean platelet volume (MPV), platelet distribution width (PDW), platelet count (PLT), absolute values of leukocyte neutrophil (W-LCC), leukocyte monocyte (W-MCC), leukocyte lymphocyte (W-SCC), and age. Lasso regression identified these variables as important predictors, and binary Logistic regression further analyzed the significant influence of these variables on the results. The optimal machine learning algorithm LightGBM was used to establish a multi-index joint detection model. The model showed robust prediction performance in the training set, with AUC values of 0.8512 and 0.8103 in the internal validation set. Conclusion The identified routine blood parameters can be used as potential biomarkers for early diagnosis and risk assessment of AR, which can improve the accuracy and efficiency of diagnosis. The established model provides scientific basis for more accurate diagnostic tools and personalized prevention strategies. Future studies should prospectively validate these findings and explore their applicability in other related diseases.
Humans ; Male ; Female ; Rhinitis, Allergic/blood* ; Child ; Biomarkers/blood* ; Retrospective Studies ; Early Diagnosis ; Child, Preschool ; ROC Curve ; Logistic Models ; Hematologic Tests ; Algorithms ; Adolescent ; Machine Learning

Objective:To investigate the effects of cyclic adenosine monophosphate response element binding protein(CREB)on the malignant biological behaviors of prostate cancer PC3 cells.Methods:Prostate cancer PC3 cells were routinely cultured.The overexpression control plasmid(vector),CREB overexpression plasmid(CREB-oe),knockdown control sequence(si-NC),and si-CREB sequence were transfected into PC3 cells using transfection reagents,namely vector,CREB-oe,si-NC,and si-CREB groups.Scratch wound healing assay,Transwell chamber assay,and flow cytometry were performed to evaluate cell migration,invasion,and cell cycle distribution,respectively.PC3 cells with CREB knockout were constructed using CRISPR/Cas9 technology,and a xenograft tumor model was employed to evaluate the impact of CREB knockout on tumor growth in vivo.Results:CREB was successfully knocked down or overexpressed in PC3 cells(all P<0.01).CREB overexpression significantly promoted,while its knockdown significantly inhibited the migration and invasion of PC3 cells(all P<0.01).Overexpression of CREB promoted the transition of PC3 cells into the S phase,whereas knockdown of CREB induced G1 phase arrest(all P<0.01).PC3 cells with CREB knockout were successfully constructed,and CREB knockout significantly inhibited the growth of PC3 cell-transplanted tumors(P<0.01).Conclusion:Knockdown or knockout of CREB inhibits migration and invasion of PC3 cells and induces G1 phase arrest,thereby suppressing tumor growth.

To evaluate the clinical application value of magnetic bead sorting technology (MBS) using the T-cell select kit combined with an automatic cell sorter for isolating peripheral blood mononuclear cells (PBMCs) to realize automated specimen pre-processing and process optimization in T-SPOT.TB assay. A cross-sectional study was conducted involving 300 patients recruited from the first affiliated hospital of Air Force Medical University from March 2023 to July 2024. Among them, there were 167 males and 133 females. The age range of the patients was 18 to 65 years, with a median age of 49.0 (33.3, 59.0) years and a mean age of (46.4±13.9) years. 4 ml of anticoagulated whole blood samples in duplicate were collected from each patient. One fresh sample (0-4 h) was processed immediately using density gradient centrifugation (DGC) for PBMC isolation, while the other was processed using MBS method at either 0-4 h or 34-54 h post-collection. The cycles for cell enrichment step of the automatic cell sorter were adjusted from the conventional 4 cycles to 2 cycles. Statistical analysis was performed using Cohen′s Kappa test to evaluate the concordance of T-SPOT.TB results across all processing groups. The results showed that for fresh samples (0-4 h), the T-SPOT.TB results for samples processed with 4-cycle and 2-cycle MBS enrichment steps demonstrated positive concordance rates of 91.7% and 93.1%, negative concordance rates of 100% for both, overall concordance rates of 98.0% and 97.9%, and Kappa values of 0.94 and 0.95, respectively, compared with the reference results for paired samples processed using DGC. Correspondingly, the results for samples processed with the 4-cycle and 2-cycle MBS methods at 34-54 h post-collection yielded positive concordance rates of 90.0% and 81.3%, negative concordance rates of 95.1% and 100%, overall concordance rates of 93.0% and 82.9%, and Kappa values of 0.86 and 0.43, respectively, compared with the reference results for fresh samples processed using DGC. In conclusion,for 0-4 h samples, the T-SPOT.TB results from both 4-cycle and 2-cycle MBS enrichment protocols were highly consistent with the reference results from conventional DGC methods. However, for 34-54 h stored samples, results from the 4-cycle MBS method rather than the 2-cycle protocol exhibited significantly superior concordance with the reference results. The MBS method using T-Cell Select kit achieves automated sample pre-processing for T-SPOT.TB assay, reduces hands-on time, and provides a viable alternative with reliable results for long-stored specimens.

Objective To compare the effects of three nickel-titanium file systems,ProTaper Next,TruNatomy,and VDW.RO-TATE,on the morphology of the Danger Zone of the mesial buccal root of mandibular first molar after root canal preparation using Mi-cro-CT and 3D printing technology.Methods 3D-printed mandibular first molars were selected and designed for purpose.They were randomly divided into three groups according to the used NiTi files(n=20).Micro-CT was used to scan the cross-sectional images of the Danger Zone 2 mm below the furcation of the mesial buccal root before and after root canal preparation.The changes in the root ca-nal wall thickness,root canal volume,surface area,cross-sectional area,and root canal transportation in the Danger Zone were ob-served.Statistical analysis was performed using one-way ANOVA(P＜0.05).Results Statistically significant differences were observed before and after root canal preparation in the Danger Zone among the three groups(P＜0.05).Among the three groups,the PTN files caused the largest change before and after preparation,followed by VDW files,and the TRU files had the smallest change.Conclusion The study highlights TruNatomy's conservative shaping capacity,advocating its use in minimally invasive endodontics,whereas Pro-Taper Next may be reserved for cases requiring aggressive canal preparation.

The reliability and practicality of research findings in health economics are gradually becoming core issues of close concern for clinical and public health experts. As healthcare resources remain under increasing pressure, conducting efficient cost-effectiveness analyses and achieving rational resource allocation are becoming ever more critical. In recent years, medical laboratory health economics has transitioned from purely academic discussions to integration into clinical practice, becoming a key tool for improving the efficiency and quality of healthcare services. It has demonstrated remarkable results in optimizing patient management and medical decision-making processes. So we invited experts from the fields of medical laboratory science and health economics to share valuable experiences and unique insights on topics such as cost assessment methods, pricing strategies, quality regulation, and the role of medical laboratory health economics in enhancing clinical practice and patient benefits. These experts generally agree that, while research in medical laboratory health economics has shown significant advantages and effectively addressed urgent clinical needs in resource allocation and cost control, it still faces multiple challenges, including limitations in research methodology application, high operational costs, and insufficient standardization of management systems.

Objective To compare the effects of three nickel-titanium file systems,ProTaper Next,TruNatomy,and VDW.RO-TATE,on the morphology of the Danger Zone of the mesial buccal root of mandibular first molar after root canal preparation using Mi-cro-CT and 3D printing technology.Methods 3D-printed mandibular first molars were selected and designed for purpose.They were randomly divided into three groups according to the used NiTi files(n=20).Micro-CT was used to scan the cross-sectional images of the Danger Zone 2 mm below the furcation of the mesial buccal root before and after root canal preparation.The changes in the root ca-nal wall thickness,root canal volume,surface area,cross-sectional area,and root canal transportation in the Danger Zone were ob-served.Statistical analysis was performed using one-way ANOVA(P＜0.05).Results Statistically significant differences were observed before and after root canal preparation in the Danger Zone among the three groups(P＜0.05).Among the three groups,the PTN files caused the largest change before and after preparation,followed by VDW files,and the TRU files had the smallest change.Conclusion The study highlights TruNatomy's conservative shaping capacity,advocating its use in minimally invasive endodontics,whereas Pro-Taper Next may be reserved for cases requiring aggressive canal preparation.