1.Distribution characteristics, source apportionment, and health risk assessment of metals and metalloids in PM2.5 in a southern city in 2019
Yaxin QU ; Suli HUANG ; Chao WANG ; Jie JIANG ; Jiajia JI ; Daokui FANG ; Shaohua XIE ; Xiaoheng LI ; Ning LIU
Journal of Environmental and Occupational Medicine 2025;42(2):196-204
Background Metals and metalloids in fine particulate matter (PM2.5) may cause damage to the respiratory and circulatory systems of the human body, and long-term exposure is prone to causing chronic poisoning, cancer, and other adverse effects. Objective To assess the distribution characteristics of metals and metalloids in outdoor PM2.5 in a southern city of China, conduct source apportionment, and evaluate the associated health risks, thereby providing theoretical support for further pollution control measures. Methods PM2.5 samples were collected in districts A, B, and C of a southern China city, and the concentrations of 17 metals and metalloids were detected by inductively coupled plasma-mass spectrometry (ICP-MS). Pollution sources were assessed through enrichment factor and principal components analysis, and the main pollution sources were quantified using absolute principal component scores-multivariate linear regression (APCS-MLR). Health risks were evaluated based on the Technical guide for environmental health risk assessment of chemical exposure (WS/T777—2021). Results The ambient air PM2.5 concentrations in the city were higher in winter and spring, and lower in summer and autumn. The annual average concentrations of ambient PM2.5 in districts A, B, and C were 36.7, 31.9, and 24.4 μg·m−3, respectively. The ambient PM2.5 levels in districts B and C were below the second-grade limit set by the Ambient air quality standards (GB 3095—2012). The enrichment factors of cadmium (Cd), aluminum (Al), and antimony (Sb) were greater than 10, those of copper (Cu), lead (Pb), arsenic (As), nickel (Ni), mercury (Hg), and molybdenum (Mo) fell between 1 and 10, and those of manganese (Mn), vanadium (V), chromium (Cr), cobalt (Co), barium (Ba), beryllium (Be), and uranium (U) were below or equal to 1. The comprehensive evaluation of source analysis showed that the main pollution sources in districts A and C and the whole city were coal-burning. In district B, the main pollution source was also coal combustion, followed by industrial process sources and dust sources. The carcinogenic risks of As and Cr were between 1×10−6 and 1×10−4. However, the hazard quotients for 15 metals and metalloids in terms of non-carcinogenic risk were below 1. Conclusion Cr and As in the atmospheric PM2.5 of the city present a certain risk of cancer and should be paid attention to. In addition, preventive control measures should be taken against relevant pollution sources such as industrial emission, dust, and coal burning.
2.Impact of long-term blood pressure variability on arteriosclerosis in women with hypertensive disorders in pregnancy
Chunle QU ; Ning YANG ; Maoti WEI ; Shiqi YIN ; Shuohua CHEN ; Shouling WU ; Yuming LI
Chinese Journal of Cardiology 2025;53(10):1112-1118
Objective:To explore the relationship between long-term blood pressure variability and arteriosclerosis in women with a history of hypertensive disorders in pregnancy (HDP).Methods:This study was a retrospective cohort study. Data were obtained from the Kailuan Research Database. Women with a history of HDP who delivered between January 1990 and December 2020 and completed brachial-ankle pulse wave velocity (baPWV) measurement in the postpartum period were enrolled. Baseline data were obtained from the first post-delivery health examination, while the outcome measure was the baPWV recorded during the last follow-up visit, synchronized with blood pressure measurements. Based on long-term blood pressure variability, the enrolled study subjects were divided into the first, second, and third tertile groups in ascending order using the tertile method, and intergroup differences in clinical characteristics were compared. Multivariable logistic regression was performed to evaluate the impact of long-term blood pressure variability levels on arteriosclerosis risk in women with a history of HDP. Sensitivity analyses excluded individuals with multiple deliveries to validate the robustness of findings. Subgroup analyses were conducted based on delivery age (<40 vs. ≥40 years) and blood pressure measurement frequency (3 vs. >3 times) to explore the potential impact of different population characteristics on the study results.Results:A total of 421 study subjects were enrolled, aged (36.07±6.05) years, with a baPWV value of (1 376.80±238.18) cm/s. Long-term blood pressure variability was 4.66 (3.41, 6.50) mmHg (1 mmHg=0.133 kPa). The first, second and third quartile group included 140, 141 and 140 individuals, respectively. In the total population, the incidence of arteriosclerosis was 40.4% (170/421). The incidence rates in the first, second, and third tertile groups were 34.3% (48/140), 39.0% (55/141), and 47.9% (67/140), respectively. Multivariate logistic regression analysis showed that increased long-term blood pressure variability was an independent risk factor for arteriosclerosis in women with a history of HDP ( OR=1.702, 95% CI 1.018-2.844, P=0.043). The results of sensitivity analyses were consistent with that of the primary analysis ( OR=1.758, 95% CI 1.044-2.959, P=0.034). Subgroup analyses further indicated that in the subgroups with delivery age <40 years ( OR=2.116, 95% CI 1.153-3.885, P=0.016) and blood pressure measurement frequency >3 times ( OR=1.894, 95% CI 1.069-3.355, P=0.029), the association between long-term blood pressure variability and arterial stiffness risk was more significant. Conclusions:For women with a history of HDP, elevated long-term blood pressure variability may increase the risk of arteriosclerosis, and this effect is more pronounced in younger women (delivery age <40 years) and those with high-frequency blood pressure measurements (>3 times). Enhanced monitoring and management of blood pressure variability in this population are crucial to improving long-term cardiovascular health outcomes.
3.Interpretation of Ergonomic Principle for the Prevention of Work-Related Musculoskeletal Disorders Part 1: General Principles (T/WSJD 14.1-2020)
Qing XU ; Ning JIA ; Ruijie LING ; Gang LI ; Yimin LIU ; Huadong ZHANG ; Qingsong CHEN ; Qiuling ZHANG ; Zhi WANG ; Ying QU ; Xueyan ZHANG ; Yan YANG ; Zhongxu WANG
Chinese Journal of Industrial Hygiene and Occupational Diseases 2025;43(2):139-145
Ergonomic Principle for the Prevention of Work-Related Musculoskeletal Disorders Part 1: General Principles (T/WSJD 14.1-2020) is the first guideline standard for the prevention of work-related musculoskeletal disorders provided to employers and occupational health technical service institutions in China, which covers ergonomic risk factors and their hazard definition, ergonomic prevention principles, risk assessment process, risk control process and risk evaluation principles. The standard specifically clarify the specific types of adverse ergonomic risk factors and control strategies and the standard process of systematic ergonomic risk assessment, providing implementation paths and practical guidance for eliminating/reducing adverse ergonomic risks and enhance workplace environments to prevent work-related musculoskeletal disorders. This paper interprets and analyzes the background of standard establishment, formulation process, fundamental basis, and main content, etc., to provide scientific and accurate technical support for enterprise managers, labours and technical personnel of occupational health institutions to optimize the use of this standard.
4.The Influence of Boundary Condition Changes of Inner and Outer Walls of Osteon on Fluid Flow Characteristics:A Finite Element Study
Weilun YU ; Xiuying LIU ; Qiong WANG ; Yuan YAO ; Yubo GUO ; Ning QU ; Xiaogang WU ; Haoyu FENG ; Zhiqiang LI
Journal of Medical Biomechanics 2025;40(3):656-662
Objective To explore the characteristics of fluid flow within loaded osteons under different boundary conditions.Methods The COMSOL Multiphysics software was used to establish a three-dimensional(3D)finite element model of osteons with different boundary conditions,and the variation rules of pore pressure and flow velocity of osteons under different inner wall pulsating blood pressures and outer wall elastic constraint conditions were analyzed.Results As the pulsatile blood pressure inside the osteon increased from 0 mmHg(1 mmHg=0.133 kPa)to 300 mmHg,the peak pore pressure within the osteon correspondingly increased from 26 kPa to 68 kPa.As the elastic constraint on the outer wall of osteons changed from being completely elastic to completely constrained,the peak pore pressure within osteons increased from 15 kPa to 26 kPa,and the peak flow velocity increased from 0.04 um/s to 0.07 um/s.Conclusions This study reveals the influence laws of changes in boundary conditions such as the pulsatile blood pressure on the inner wall and the elastic constraint on the outer wall of osteons on fluid flow characteristics within loaded osteons.These findings are conducive to a deeper understanding of the mechanical response mechanisms of bone tissues in both physiological and pathological states,and provide an important theoretical basrs for further researches on bone mechanotransduction.
5.Expert consensus on prevention and control of Chikungunya in healthcare institutions(2025 Edition)
Ling HE ; Yan LIU ; Fang YU ; Ying LIU ; Dayue LIU ; Hongyan LIU ; Ruiting WANG ; Shuxian CHEN ; Chen ZHU ; Xiaodong HAN ; Ting HUANG ; Fengxia GUO ; Zhen-feng ZHONG ; Yuanchun MO ; Xiujuan QU ; Yinan LI ; Yi XU ; Chengxiang KONG ; Ning LI ; Shaoyan LU ; Ming WU ; Zide DENG ; Shumei SUN
Chinese Journal of Nosocomiology 2025;35(22):3361-3369
OBJECTIVE To standardize the strategies for prevention and control of Chikungunya(CHIK)in healthcare in-stitutions so as to reduce the risk of transmission in the institutions.METHODS A working group comprising the ex-perts in hospital infection control,infectious diseases,and microbiology systematically reviewed domestic and international evidence and current guidelines,integrated China's vector ecology and healthcare realities,conducted two rounds of Delphi to achieve expert consensus,and graded the evidence and recommendation strength using the Oxford Centre for Evidence Based Medicine system.RESULTS The consensus issues 18 actionable recommendations on triage,patient mosquito-proof isolation,integrated vector control,protection of susceptible populations,environmental cleaning and disinfection,specimen management,medical textile handling,and outbreak emergency response,with each statement assigned an evi-dence level and recommendation strength.CONCLUSION This consensus is for the first time in China to provide evidence-graded strategies for control of CHIK in healthcare institutions,offering work flow-oriented,implementable guidance for clinicians,laboratorians,and infection-control personnel under different risk scenarios and enhancing the comprehensive coping capacity of the healthcare institutions.
6.Primary familial and congenital polycythemia caused by EPOR gene mutation: two cases report and literature review
Daohua NING ; Meng JIAO ; Li QIN ; Qingyan GAO ; Lijuan PAN ; Shiqiang QU ; Bing LI ; Zefeng XU ; Qing LENG ; Zhijian XIAO ; Tiejun QIN
Chinese Journal of Hematology 2025;46(11):1071-1074
In this paper, two cases of primary familial and congenital polycythemia (PFCP) were reported, and the literature was reviewed. PFCP is a rare autosomal dominant inherited disease caused by a gain-of-function mutation in the EPOR gene, resulting in a loss of negative regulation of erythrocyte proliferation. The two patients were young women with simple polycythemia and clear family history, and identified to carry the truncated mutation c.1316G>A (p.W439*) of EPOR gene. At present, there is no unified treatment plan for PFCP. Currently, there is no standardized treatment for PFCP; management primarily aligns with guidelines for polycythemia vera, focusing on preventing thrombotic complications. This article discusses the clinical features of PFCP, EPOR gene mutations, and their pathogenic mechanisms, while providing diagnostic and therapeutic recommendations based on existing literature.
7.Predicting Postoperative Progression of Ossification of the Posterior Longitudinal Ligament in the Cervical Spine Using Interpretable Radiomics Models
Siyuan QIN ; Ruomu QU ; Ke LIU ; Ruixin YAN ; Weili ZHAO ; Jun XU ; Enlong ZHANG ; Feifei ZHOU ; Ning LANG
Neurospine 2025;22(1):144-156
Objective:
This study investigates the potential of radiomics to predict postoperative progression of ossification of the posterior longitudinal ligament (OPLL) after posterior cervical spine surgery.
Methods:
This retrospective study included 473 patients diagnosed with OPLL at Peking University Third Hospital between October 2006 and September 2022. Patients underwent posterior spinal surgery and had at least 2 computed tomography (CT) examinations spaced at least 1 year apart. OPLL progression was defined as an annual growth rate exceeding 7.5%. Radiomic features were extracted from preoperative CT images of the OPLL lesions, followed by feature selection using correlation coefficient analysis and least absolute shrinkage and selection operator, and dimensionality reduction using principal component analysis. Univariable analysis identified significant clinical variables for constructing the clinical model. Logistic regression models, including the Rad-score model, clinical model, and combined model, were developed to predict OPLL progression.
Results:
Of the 473 patients, 191 (40.4%) experienced OPLL progression. On the testing set, the combined model, which incorporated the Rad-score and clinical variables (area under the receiver operating characteristic curve [AUC] = 0.751), outperformed both the radiomics-only model (AUC = 0.693) and the clinical model (AUC = 0.620). Calibration curves demonstrated good agreement between predicted probabilities and observed outcomes, and decision curve analysis confirmed the clinical utility of the combined model. SHAP (SHapley Additive exPlanations) analysis indicated that the Rad-score and age were key contributors to the model’s predictions, enhancing clinical interpretability.
Conclusion
Radiomics, combined with clinical variables, provides a valuable predictive tool for assessing the risk of postoperative progression in cervical OPLL, supporting more personalized treatment strategies. Prospective, multicenter validation is needed to confirm the utility of the model in broader clinical settings.
8.Predicting Postoperative Progression of Ossification of the Posterior Longitudinal Ligament in the Cervical Spine Using Interpretable Radiomics Models
Siyuan QIN ; Ruomu QU ; Ke LIU ; Ruixin YAN ; Weili ZHAO ; Jun XU ; Enlong ZHANG ; Feifei ZHOU ; Ning LANG
Neurospine 2025;22(1):144-156
Objective:
This study investigates the potential of radiomics to predict postoperative progression of ossification of the posterior longitudinal ligament (OPLL) after posterior cervical spine surgery.
Methods:
This retrospective study included 473 patients diagnosed with OPLL at Peking University Third Hospital between October 2006 and September 2022. Patients underwent posterior spinal surgery and had at least 2 computed tomography (CT) examinations spaced at least 1 year apart. OPLL progression was defined as an annual growth rate exceeding 7.5%. Radiomic features were extracted from preoperative CT images of the OPLL lesions, followed by feature selection using correlation coefficient analysis and least absolute shrinkage and selection operator, and dimensionality reduction using principal component analysis. Univariable analysis identified significant clinical variables for constructing the clinical model. Logistic regression models, including the Rad-score model, clinical model, and combined model, were developed to predict OPLL progression.
Results:
Of the 473 patients, 191 (40.4%) experienced OPLL progression. On the testing set, the combined model, which incorporated the Rad-score and clinical variables (area under the receiver operating characteristic curve [AUC] = 0.751), outperformed both the radiomics-only model (AUC = 0.693) and the clinical model (AUC = 0.620). Calibration curves demonstrated good agreement between predicted probabilities and observed outcomes, and decision curve analysis confirmed the clinical utility of the combined model. SHAP (SHapley Additive exPlanations) analysis indicated that the Rad-score and age were key contributors to the model’s predictions, enhancing clinical interpretability.
Conclusion
Radiomics, combined with clinical variables, provides a valuable predictive tool for assessing the risk of postoperative progression in cervical OPLL, supporting more personalized treatment strategies. Prospective, multicenter validation is needed to confirm the utility of the model in broader clinical settings.
9.Predicting Postoperative Progression of Ossification of the Posterior Longitudinal Ligament in the Cervical Spine Using Interpretable Radiomics Models
Siyuan QIN ; Ruomu QU ; Ke LIU ; Ruixin YAN ; Weili ZHAO ; Jun XU ; Enlong ZHANG ; Feifei ZHOU ; Ning LANG
Neurospine 2025;22(1):144-156
Objective:
This study investigates the potential of radiomics to predict postoperative progression of ossification of the posterior longitudinal ligament (OPLL) after posterior cervical spine surgery.
Methods:
This retrospective study included 473 patients diagnosed with OPLL at Peking University Third Hospital between October 2006 and September 2022. Patients underwent posterior spinal surgery and had at least 2 computed tomography (CT) examinations spaced at least 1 year apart. OPLL progression was defined as an annual growth rate exceeding 7.5%. Radiomic features were extracted from preoperative CT images of the OPLL lesions, followed by feature selection using correlation coefficient analysis and least absolute shrinkage and selection operator, and dimensionality reduction using principal component analysis. Univariable analysis identified significant clinical variables for constructing the clinical model. Logistic regression models, including the Rad-score model, clinical model, and combined model, were developed to predict OPLL progression.
Results:
Of the 473 patients, 191 (40.4%) experienced OPLL progression. On the testing set, the combined model, which incorporated the Rad-score and clinical variables (area under the receiver operating characteristic curve [AUC] = 0.751), outperformed both the radiomics-only model (AUC = 0.693) and the clinical model (AUC = 0.620). Calibration curves demonstrated good agreement between predicted probabilities and observed outcomes, and decision curve analysis confirmed the clinical utility of the combined model. SHAP (SHapley Additive exPlanations) analysis indicated that the Rad-score and age were key contributors to the model’s predictions, enhancing clinical interpretability.
Conclusion
Radiomics, combined with clinical variables, provides a valuable predictive tool for assessing the risk of postoperative progression in cervical OPLL, supporting more personalized treatment strategies. Prospective, multicenter validation is needed to confirm the utility of the model in broader clinical settings.
10.Celastrol directly targets LRP1 to inhibit fibroblast-macrophage crosstalk and ameliorates psoriasis progression.
Yuyu ZHU ; Lixin ZHAO ; Wei YAN ; Hongyue MA ; Wanjun ZHAO ; Jiao QU ; Wei ZHENG ; Chenyang ZHANG ; Haojie DU ; Meng YU ; Ning WAN ; Hui YE ; Yicheng XIE ; Bowen KE ; Qiang XU ; Haiyan SUN ; Yang SUN ; Zijun OUYANG
Acta Pharmaceutica Sinica B 2025;15(2):876-891
Psoriasis is an incurable chronic inflammatory disease that requires new interventions. Here, we found that fibroblasts exacerbate psoriasis progression by promoting macrophage recruitment via CCL2 secretion by single-cell multi-omics analysis. The natural small molecule celastrol was screened to interfere with the secretion of CCL2 by fibroblasts and improve the psoriasis-like symptoms in both murine and cynomolgus monkey models. Mechanistically, celastrol directly bound to the low-density lipoprotein receptor-related protein 1 (LRP1) β-chain and abolished its binding to the transcription factor c-Jun in the nucleus, which in turn inhibited CCL2 production by skin fibroblasts, blocked fibroblast-macrophage crosstalk, and ameliorated psoriasis progression. Notably, fibroblast-specific LRP1 knockout mice exhibited a significant reduction in psoriasis like inflammation. Taken together, from clinical samples and combined with various mouse models, we revealed the pathogenesis of psoriasis from the perspective of fibroblast-macrophage crosstalk, and provided a foundation for LRP1 as a novel potential target for psoriasis treatment.

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