To summarize the distribution characteristics of human papillomavirus(HPV) infection types in patients with cervical squamous intraepithelial lesion(SIL) and cervical cancer(CC), and to explore the impact of HPV vaccination, HPV infection types, and general clinical data on different grades of cervical lesions.

Objective:To construct a "local-systemic" dual-track prediction model integrating the resistance index (RI) score of bilateral sacroiliac joints and the systemic immune-inflammation index (SII), and to evaluate its predictive efficacy for the active stage of ankylosing spondylitis (AS).Methods:A total of 205 patients with ankylosing spondylitis (AS) from the Second Hospital of Lanzhou University between April 2022 and April 2025 were retrospectively enrolled and categorized into an active group ( n=113) and a remission group ( n=92). Hematological parameters and ultrasound data were collected. The resistance index (RI) of the synovial area in bilateral sacroiliac joints was measured by Doppler ultrasound and scored as follows: RI < 0.5: 3 points; RI 0.5~0.55: 2 points; RI > 0.55: 1 point; undetectable blood flow: 0 points. A total bilateral RI score (range 0 to 6) was calculated. The systemic immune-inflammation index (SII) was derived as (neutrophils× platelets)/lymphocytes. Normality was tested for all continuous variables; normally distributed data were compared using the t-test, while non-normally distributed data were analyzed with the Mann-Whitney U test. Categorical variables were compared using the χ2 test or analysis of variance.Variable selection was performed using Lasso regression, and a multivariate logistic regression model was developed to assess predictive performance. Results:The proportion of patients with a bilateral RI total score≥5 was significantly higher in the active group compared to the remission group (50 of 113, 44.3% vs 2 of 92, 2.2%, χ2=55.63, P<0.001). Multivariate logistic regression analysis, after adjustment for confounding variables, identified the SII [ OR(95% CI)=1.01(1.00, 1.01), P<0.001], bilateral RI total score [ OR(95% CI)=1.67(1.29, 2.26), P<0.001], erythrocyte sedimentation rate [ OR(95% CI)=1.19(1.11, 1.30), P<0.001], and mean corpuscular hemoglobin concentration [ OR(95% CI)=1.09(1.03, 1.17), P<0.001] as independent risk factors for active AS. Conversely, lymphocyte count [ OR(95% CI)=0.42(0.18, 0.92), P=0.030] and globulin [ OR(95% CI)=0.89(0.80, 0.99), P=0.040] were significantly associated with protective effects. The bilateral RI total score demonstrated the strongest predictive effect, with each 1-point increase associated with a 67% elevation in the risk of active disease. ROC curve analysis indicated that the area under the curve (AUC) for predicting whether AS is in the active disease phase was 0.94 for the combined model (SII+bilateral RI total score), compared with 0.93 for the SII-alone model and 0.92 for the bilateral RI total score-alone model, demonstrating superior predictive performance of the combined model (SII+bilateral RI total score). An online prediction tool has been developed based on the combined model. Conclusion:The dual-track prediction model, which integrates local joint hemodynamic characteristics and systemic immune-inflammatory status, facilitates a multidimensional assessment of the risk of active AS and provides an objective basis for early identification.

Objective:To construct a "local-systemic" dual-track prediction model integrating the resistance index (RI) score of bilateral sacroiliac joints and the systemic immune-inflammation index (SII), and to evaluate its predictive efficacy for the active stage of ankylosing spondylitis (AS).Methods:A total of 205 patients with ankylosing spondylitis (AS) from the Second Hospital of Lanzhou University between April 2022 and April 2025 were retrospectively enrolled and categorized into an active group ( n=113) and a remission group ( n=92). Hematological parameters and ultrasound data were collected. The resistance index (RI) of the synovial area in bilateral sacroiliac joints was measured by Doppler ultrasound and scored as follows: RI < 0.5: 3 points; RI 0.5~0.55: 2 points; RI > 0.55: 1 point; undetectable blood flow: 0 points. A total bilateral RI score (range 0 to 6) was calculated. The systemic immune-inflammation index (SII) was derived as (neutrophils× platelets)/lymphocytes. Normality was tested for all continuous variables; normally distributed data were compared using the t-test, while non-normally distributed data were analyzed with the Mann-Whitney U test. Categorical variables were compared using the χ2 test or analysis of variance.Variable selection was performed using Lasso regression, and a multivariate logistic regression model was developed to assess predictive performance. Results:The proportion of patients with a bilateral RI total score≥5 was significantly higher in the active group compared to the remission group (50 of 113, 44.3% vs 2 of 92, 2.2%, χ2=55.63, P<0.001). Multivariate logistic regression analysis, after adjustment for confounding variables, identified the SII [ OR(95% CI)=1.01(1.00, 1.01), P<0.001], bilateral RI total score [ OR(95% CI)=1.67(1.29, 2.26), P<0.001], erythrocyte sedimentation rate [ OR(95% CI)=1.19(1.11, 1.30), P<0.001], and mean corpuscular hemoglobin concentration [ OR(95% CI)=1.09(1.03, 1.17), P<0.001] as independent risk factors for active AS. Conversely, lymphocyte count [ OR(95% CI)=0.42(0.18, 0.92), P=0.030] and globulin [ OR(95% CI)=0.89(0.80, 0.99), P=0.040] were significantly associated with protective effects. The bilateral RI total score demonstrated the strongest predictive effect, with each 1-point increase associated with a 67% elevation in the risk of active disease. ROC curve analysis indicated that the area under the curve (AUC) for predicting whether AS is in the active disease phase was 0.94 for the combined model (SII+bilateral RI total score), compared with 0.93 for the SII-alone model and 0.92 for the bilateral RI total score-alone model, demonstrating superior predictive performance of the combined model (SII+bilateral RI total score). An online prediction tool has been developed based on the combined model. Conclusion:The dual-track prediction model, which integrates local joint hemodynamic characteristics and systemic immune-inflammatory status, facilitates a multidimensional assessment of the risk of active AS and provides an objective basis for early identification.

Background Amid global climate change, extreme environmental events are occurring more frequently, and it is imperative to investigate the impacts of combined exposure to fine particluate matter (PM_2.5) and cold spells (CS) on population mortality. Objective To analyze the association between sequential extreme PM_2.5-cold spell (EP-CS) events and non-accidental mortality among residents in Zigong City from 2016 to 2021. Methods Using time-series study design, meteorological data in Zigong were collected from the Zigong Meteorological Bureau for the period from January 1, 2016 to December 31, 2021, while daily non-accidental mortality data were obtained from the mortality surveillance system of the Zigong Center for Disease Control and Prevention. We adopted the percentile method to define extreme PM_2.5 events and cold spells. We analyzed the risk effect of EP-CS events on non-accidental mortality among residents in this city and explored the potential amplification of damage resulting from different patterns of consecutive extreme events by using distributed lag nonlinear model (DLNM). We also conducted stratified analyses based on age, gender, education level, and marital status. Results The EP-CS events demonstrated a significant impact on non-accidental mortality among the local residents, exhibiting a certain lagged effect. The effects on the overall residents lasted from lag0 (RR=1.030, 95%CI: 1.013, 1.048) to lag14 (RR=1.035, 95%CI: 1.019, 1.052). Notably, the effects were more pronounced among females, individuals aged 65 years and above, and those who were never married, divorced, or widowed. Different patterns of EP-CS events all associated with adverse effects, the health impact of EP-CS events was significantly greater than that of individual PM_2.5 pollution or CS events. The analysis of lag effects across different event patterns revealed that the overall effect of EP-CS events with shorter intervals (0–7 d) had a stronger effect compared to EP-CS with longer intervals (8–14 d), and the RR values of lag14 were 1.034 (95%CI: 1.015, 1.054) and 1.017 (95%CI: 1.007, 1.027), suggesting that the damaging effect of compound events occurring in the short term was more significant. Conclusion All sequential extreme EP-CS events have an impact on non-accidental mortality among residents in this city, with compound events demonstrating a stronger effect. Females, individuals aged ≥65 years, and those who were never married, divorced, or widowed are more sensitive to EP-CS events.

OBJECTIVE This study investigated the clinical implications of endothelial cell-specific molecule 1(ESM-1)in obstructive sleep apnea(OSA)patients,with particular focus on its dynamic correlation with adhesion molecules,aiming to elucidate the regulatory role of ESM-1 in OSA-associated vascular endothelial impairment.METHODS This cross-sectional study enrolled participants undergoing polysomnography(PSG)at the Sleep Medicine Center of Beijing Anzhen Hospital,Capital Medical University between March 2017 and January 2018.Based on the inclusion criteria,161 participants were ultimately included and divided into OSA group(n=118)and control group(n=43).Demographic data and polysomnography parameters were collected.We used a powerful high-throughput Multiplex Immunobead Assay technology to simultaneously test plasm cytokines levels of ESM-1,inter-cellular adhesion molecule 1(ICAM-1),vascular cell adhesion molecule 1(VCAM-1).Circulating C-reactive protein(CRP)and homocysteine(Hcy)were detected by routine blood chemistry panel.RESULTS Circulating ESM-1 levels were significantly elevated in patients with OSA compared with healthy controls[819.73(612.36-1393.47)pg/ml]vs.[286.17(114.48-513.81)pg/ml,P<0.001].After adjusting for confounding factors,we found that circulating ESM-1 levels were an independent risk factor for OSA(odds ratio=2.162,95%CI=1.522-3.072,P<0.001)and circulating ESM-1 levels were positively associated with ICAM-1 and VCAM-1 levels(β=1.977,95%CI=1.429-2.734,P<0.001).CONCLUSION Circulating ESM-1 levels were significantly increased in patients with OSA,which is closely related with adhesion molecules levels.ESM-1 may be a surrogate endothelial dysfunction marker and an independent risk factor for OSA.

Due to the specificity of radiopharmaceuticals for targeted α radionuclide therapy, such as radioactivity and radiation damage risk, it is necessary to estimate the internal radiation dose in preclinical evaluation to correctly evaluate the efficacy and safety of the drug, as well as in subsequent clinical studies. This review illustrates current research status of estimating internal radiation dose of targeted α radionuclide therapeutic radiopharmaceuticals based on preclinical studies, in order to add insights for understanding estimation of radiopharmaceuticals internal radiation dose and provide reference for the preclinical evaluation of radiopharmaceuticals.

The "integrated time-space" perspective of life in traditional Chinese medicine holds that structure and function respectively belong to the realms of space and time. The orderly integration of time and space not only supports the existence and development of life， but also serves as the foundation for biological evolution. Based on this standpoint， this paper proposes the spatiotemporal structural theory of visceral manifestation， characterized by the fusion of time and space， the integration of internal and external dimensions， and the absence of primary or secondary distinctions. Using the individual human body as the boundary， it delineates the man and nature spatiotemporal structure， based on the theory of the "correspondence between man and nature"， and the internal spatiotemporal structure of the living body. The man and nature spatiotemporal structure， with yin-yang and the five phases as its core， reveals the correspondence and connectivity between the external environment and the internal zang-fu organs within the spatiotemporal dimension. The internal temporal structure of the body refers to the collective physiological rhythms related to the zang-fu organs， while the spatial structure refers to the tangible forms， spatial positions， and connective structures of the zang-fu organs. The proposal of the spatiotemporal structural theory of visceral manifestation represents a rational reconstruction and practical exploration of the essential connotations of visceral manifestation， aiming to provide new perspectives for subsequent theoretical research and clinical applications.

AIM:To investigate the mechanism through which aerobic exercise improves inflammatory senes-cence in SAMP8 mice via Janus kinase 3(JAK3)-signal transducer and activator of transcription 5α(STAT5α)signaling pathway and to provide novel insights for anti-inflammatory aging interventions.METHODS:Sixteen 28-week-old SAMP8 mice were randomly divided into model(Mod)group and exercise(Exe)group,with 8 mice in each group.Addi-tionally,8 senile SAMR1 mice served as control(Con)group.The mice in Exe group underwent an 8-week aerobic training regimen on a treadmill.We monitored the changes in hair quality and body weight,immune organ indexes,histomorpho-logical alterations in immune organs,the expression levels of spleen aging marker P16,and the serum and spleen levels of inflammatory factors[tumor necrosis factor-α(TNF-α)and interleukin-1β(IL-1β)]and aging indicator IL-2.Moreover,we examined the alterations in the mRNA and protein expression of IL-2,JAK3 and STAT5α in the spleen.RESULTS:(1)Compared with Con group,the mice in Mod group exhibited decreased hair luster and volume,with some instances of alopecia areata,increased body weight,markedly reduced spleen and thymus indexes,evident atrophy and senescence of immune organs,and markedly decreased concentration of IL-2 in the serum and spleen.The expression of P16 in the spleen,and the serum and spleen levels of inflammatory factors TNF-α and IL-1β were significantly increased.The mRNA expression of IL-2 and IL-2 receptor subunit gamma(IL-2RG)in the spleen was markedly decreased,whereas that of JAK3 and STAT5α was markedly increased.Furthermore,the protein expression of IL-2 in the spleen was markedly de-creased,whereas that of STAT5α and JAK3 was markedly increased.(2)Compared with Mod group,the mice in Exe group showed relatively vigorous hair growth and better hair luster,lower body weight,markedly increased spleen and thy-mus indexes,and delayed immune organ aging.The concentration of IL-2 in the serum and spleen was markedly in-creased,while the expression of P16 in the spleen was markedly decreased.The levels of TNF-α and IL-1β in the serum and spleen were markedly decreased.The mRNA expression of IL-2 and IL-2RG in the spleen was markedly increased,whereas that of JAK3 and STAT5α was markedly decreased.The protein levels of IL-2 were markedly increased,whereas those of STAT5α and JAK3 were markedly decreased.CONCLUSION:Aerobic exercise can delay inflammatory aging in mice possibly through the JAK3-STAT5α signaling pathway.

Objective:To explore the method for selecting characteristic prices of Chinese patent medicines based on informa-tion entropy theory.It involves analyzing the connotative differences among various price indicators and utilizing information entropy metrics to validate the scientific rigor of characteristic price selection so as to optimize the pricing model for Chinese patent medi-cines and improve the accuracy of price evaluation.Methods:A correlation analysis and information entropy calculation are con-ducted on the median price of the smallest preparation unit,average daily cost,and average course cost of TCM.It compares the information diversity and uncertainty of different pricing indicators.Results:The average daily cost exhibits the highest information diversity and uncertainty among all the pricing indicators examined.Conclusion:It is recommended that the average daily cost be used as the dependent variable for characteristic prices in TCM pricing research.This choice plays an important role in optimizing TCM pricing models and enhancing the accuracy of price evaluation.

Objective:To establish a scientific,systematic,and objective indicator system for the characteristic price variables of Traditional Chinese Patent Medicines(TCPM),providing a reference framework for the pricing mechanism of TCPM.Methods:The brainstorming method was initially used to screen related variable indicators.The Nominal Group Technique(NGT)and Delphi methods were applied to gather expert opinions,and SPSS 28.0 was employed for data statistical analysis.It led to the development of a TCPM characteristic price variable indicator system consisting of 6 dimensions,14 characteristic variables and 26 measurement indicators.Results:The authority coefficient of the experts exceeded 0.7,indicating the representativeness of the results.Expert opinions were generally concentrated.Based on the collected opinions and statistical analysis,the scope of selected TCPM characteristic price variables was preliminarily established.Conclusion:The TCPM characteristic price variable indicator system was initially developed.However,due to the complexity of the pricing mechanism and divergent expert opinions,further qualitative and quantitative research methods,along with a dynamic adjustment mechanism,are needed to verify and refine the system.