OBJECTIVE: Humans are exposed to complex mixtures of environmental chemicals and other factors that can affect their health. Analysis of these mixture exposures presents several key challenges for environmental epidemiology and risk assessment, including high dimensionality, correlated exposure, and subtle individual effects. METHODS: We proposed a novel statistical approach, the generalized functional linear model (GFLM), to analyze the health effects of exposure mixtures. GFLM treats the effect of mixture exposures as a smooth function by reordering exposures based on specific mechanisms and capturing internal correlations to provide a meaningful estimation and interpretation. The robustness and efficiency was evaluated under various scenarios through extensive simulation studies. RESULTS: We applied the GFLM to two datasets from the National Health and Nutrition Examination Survey (NHANES). In the first application, we examined the effects of 37 nutrients on BMI (2011-2016 cycles). The GFLM identified a significant mixture effect, with fiber and fat emerging as the nutrients with the greatest negative and positive effects on BMI, respectively. For the second application, we investigated the association between four pre- and perfluoroalkyl substances (PFAS) and gout risk (2007-2018 cycles). Unlike traditional methods, the GFLM indicated no significant association, demonstrating its robustness to multicollinearity. CONCLUSION GFLM framework is a powerful tool for mixture exposure analysis, offering improved handling of correlated exposures and interpretable results. It demonstrates robust performance across various scenarios and real-world applications, advancing our understanding of complex environmental exposures and their health impacts on environmental epidemiology and toxicology.
Humans ; Environmental Exposure/analysis* ; Linear Models ; Nutrition Surveys ; Environmental Pollutants ; Body Mass Index

Objective To design a VR-based air evacuation training system for simulating the on-board medical treatment process during air evacuation.Methods A VR-based air evacuation training system was developed which used 3D modeling technology to construct models of the medical aircraft cabin,medical devices and virtual characters to achieve scene interaction.The hardware part of the system included server computers,training terminal computers,VR equipment,3D fusion projection equipment,motion capture equipment,etc.The software of the system was developed using C++,UE4 Blueprint and C# programming languages,including two modules for medical treatment unit and medical treatment training process evaluation.The efficacy of the system was verified by the trials in air evacuation.Results The system developed successfully simulated the scenarios of tracheal tube dislodgement and increased intracranial pressure in the scenario model of open severe craniocerebral injury.The expert evaluation showed that the system gained advantages in training efficiency,low cost,safety,sense of immersion and recorded the operation data in real time to optimize the follow-up training.Conclusion The system developed delivers a virtual training environment with high-fidelity replication of real-mission conditions,enabling whole-course and immersive air evacuation drills.[Chinese Medical Equipment Journal,2025,46(3):15-20]

Objective To design a VR-based air evacuation training system for simulating the on-board medical treatment process during air evacuation.Methods A VR-based air evacuation training system was developed which used 3D modeling technology to construct models of the medical aircraft cabin,medical devices and virtual characters to achieve scene interaction.The hardware part of the system included server computers,training terminal computers,VR equipment,3D fusion projection equipment,motion capture equipment,etc.The software of the system was developed using C++,UE4 Blueprint and C# programming languages,including two modules for medical treatment unit and medical treatment training process evaluation.The efficacy of the system was verified by the trials in air evacuation.Results The system developed successfully simulated the scenarios of tracheal tube dislodgement and increased intracranial pressure in the scenario model of open severe craniocerebral injury.The expert evaluation showed that the system gained advantages in training efficiency,low cost,safety,sense of immersion and recorded the operation data in real time to optimize the follow-up training.Conclusion The system developed delivers a virtual training environment with high-fidelity replication of real-mission conditions,enabling whole-course and immersive air evacuation drills.[Chinese Medical Equipment Journal,2025,46(3):15-20]

AIM To establish a UPLC-QTOF/MS method for the analyses of chemical constituents and constituents absorbed into blood from Qili Qiangxin Capsules by UPLC-QTOF/MS.METHODS The rats with heart failure after myocardial infarction were given intragastric administration of 0.5%CMC-Na suspension of Qili Qiangxin Capsules(crude drug dosage was 0.9 g/mL)for 4 weeks,after which blood collection was made.The analysis was performed on a 40℃thermostatic Acquity UPLC BEH C18 Column(100 mm×2.1 mm,1.7 μm),with the mobile phase comprising of 0.1%formic acid-acetonitrile(positive ion manner)or water-acetonitrile(negative ion manner)flowing at 0.3 mL/min in a gradient elution manner,and electron spray ionization source was adopted in positive and negative ion scanning.RESULTS Total 151 constituents were identified,containing 38 flavonoids,36 terpenoids,23 alkaloids,11 saponins,11 phenylpropanol,10 phenolic acids,4 organic acids,4 cardiac glycosides and 14 others,along with 35 constituents absorbed into blood.CONCLUSION This accurate and stable method can provide data support for the rational clinical application of Qili Qiangxin Capsules,and lay foundation for the research on related effector substances of other Chinese traditional patent medicines.

Objective:To discuss the association between occupational acid fog exposure and accelerated biological aging of the workers,and to clarify its related risk factors.Methods:A total of 341 male workers exposed to occupational acid fog and 201 male workers without occupational exposure were selected as the study subjects,and they were divided into exposure group and control group,respectively.The general informations of the subjects in two groups were collected through questionnaires and physical examinations.The levels of red blood cell count(RBC),platelet count(PLT),albumin(ALB),urea(Urea),creatinine(CR),triglycerides(TG),total cholesterol(TC),glycated hemoglobin(HBA1c),and high-sensitivity C-reactive protein(Hs-CRP)in serum of the subjects in two groups were detected.The Klemera-Doubal method(KDM)was used to construct the composite aging measure,KDM-biological age(BA)(KDM-BA).The model parameters were trained using samples from the 2009 China Health and Nutrition Survey(CHNS)Database to calculate the BA acceleration of the subjects in two groups;stratified analysis based on the population characteristics was conducted to analyze the BA of the subjects in two groups with different population characteristics;generalized linear model was used to analyze the factors influencing BA acceleration due to acid fog exposure.Results:The model parameters were trained using samples from the 2009 CHNS Database,including 8 133 cases aged 20-79 years,of which 3 788 were male.The levels of Urea,CR,HBA1c,ALB,and TC,as well as systolic blood pressure(SBP),total working years,sleep duration,and body mass index(BMI)of the subjects between two groups had significant differences(P<0.05).Compared with control group,the BA acceleration of the subjects in exposure group was significantly increased(P<0.05).In entire population and exposure group,the BA acceleration in the smokers was significantly higher than that in the non-smokers(P<0.05).In entire population,control group,and exposure group,the BA accelerations of the subjects in different BMI groups were significantly decreased with the increase of BMI(P<0.05).Compared with control group,the BA acceleration of the subjects in exposure group was significantly increased(P<0.05),including those under 40 years old,with total working years of 4-7 years,Han nationality,unmarried,smokers,and sleep duration 6-7 h,and with overweight.Acid fog exposure,smoking,and BMI were associated with the BA acceleration(β=0.72,95%CI:0.24-1.21;β=0.59,95%CI:0.11-1.06;β=-0.29,95%CI:-0.35—-0.22).Conclusion:Occupational acid fog exposure may accelerate the biological aging in the workers,and acid fog is a risk factor to accelerate the biological aging of the body.

177Lu-prostate specific membrane antigen(PSMA)radio-ligand therapy has been approved abroad for advanced prostate cancer and has been in several clinical trials in China.Based on domestic clinical practice and experimental data and referred to international experience and viewpoints,the expert group forms a consensus on the clinical application of 177Lu-PSMA radio-ligand therapy in prostate cancer to guide clinical practice.

This study investigated the effects of Xuefu Zhuyu Decoction on myocardial metabolites in a rat model of coronary heart disease with heart blood stasis syndrome and explored the therapeutic mechanism of blood circulation-promoting and blood stasis-removing therapy. SD rats were randomly divided into a sham operation group, a model group, a Xuefu Zhuyu Decoction group(14.04 g·kg~(-1)), and a trimetazidine group(5.4 mg·kg~(-1)). The sham operation group underwent thread insertion without ligation, while the other groups underwent coronary artery left anterior descending branch ligation to induce a model of coronary heart disease with heart blood stasis syndrome. Three days after modeling, drug intervention was performed, and samples were taken after 14 days of intervention. General conditions were observed, and electrocardiogram and cardiac ultrasound indices were measured. Hematoxylin-eosin(HE) staining and Masson staining were used to observe tissue pathological morphology. The enzyme linked immunosorbent assay(ELISA) was used to measure the levels of triglyceride(TG) and total cholesterol(TC) in the serum. Ultra high performance liquid chromatography-quantitative exactive-mass spectrometry(UHPLC-QE-MS) technology was used to screen differential metabolites in myocardial tissue and conduct metabolic pathway enrichment analysis. The results showed that Xuefu Zhuyu Decoction significantly improved the general condition of the model rats, reduced heart rate and ST segment elevation in the electrocardiogram, increased left ventricular ejection fraction(LVEF) and left ventricular fractional shortening(LVFS), and decreased left ventricular internal diameter in diastole(LVIDd) and left ventricular internal diameter in systole(LVIDs). HE staining and Masson staining showed that Xuefu Zhuyu Decoction effectively alleviated myocardial tissue structural disorders, inflammatory cell infiltration, and collagen fiber deposition in the model rats. ELISA results showed that Xuefu Zhuyu Decoction effectively regulated serum TG and TC levels in the model rats. There were significant differences in the metabolic phenotypes of myocardial samples in each group. Fourteen differential metabolites were identified in the Xuefu Zhuyu Decoction group, involving five metabolic pathways, including arginine and proline metabolism, glycerophospholipid metabolism, aminoacyl-tRNA biosynthesis, ether lipid metabolism, and alanine, aspartate, and glutamate metabolism. Xuefu Zhuyu Decoction improved cardiac function and myocardial structural damage in the rat model of coronary heart disease with heart blood stasis syndrome, and its biological mechanism involved the regulation of lipid metabolism, choline metabolism, amino acid metabolism, energy metabolism, and protein synthesis pathways.
Rats ; Animals ; Stroke Volume ; Rats, Sprague-Dawley ; Ventricular Function, Left ; Coronary Disease/drug therapy* ; Metabolomics

Parvalbumin interneurons belong to the major types of GABAergic interneurons. Although the distribution and pathological alterations of parvalbumin interneuron somata have been widely studied, the distribution and vulnerability of the neurites and fibers extending from parvalbumin interneurons have not been detailly interrogated. Through the Cre recombinase-reporter system, we visualized parvalbumin-positive fibers and thoroughly investigated their spatial distribution in the mouse brain. We found that parvalbumin fibers are widely distributed in the brain with specific morphological characteristics in different regions, among which the cortex and thalamus exhibited the most intense parvalbumin signals. In regions such as the striatum and optic tract, even long-range thick parvalbumin projections were detected. Furthermore, in mouse models of temporal lobe epilepsy and Parkinson's disease, parvalbumin fibers suffered both massive and subtle morphological alterations. Our study provides an overview of parvalbumin fibers in the brain and emphasizes the potential pathological implications of parvalbumin fiber alterations.
Mice ; Animals ; Epilepsy, Temporal Lobe/pathology* ; Parvalbumins/metabolism* ; Parkinson Disease/pathology* ; Neurons/metabolism* ; Interneurons/physiology* ; Disease Models, Animal ; Brain/pathology*

Aim To investigate the mechanism of RhoA/ROCK signaling pathway in abnormal aortic contractility in type 2 diabetes (T2DM) mice. Methods The experiment was divided into two groups, the control group (db/m mice) and the model group (db/db mice). Changes of the response to different methods were measured in aorta rings using a Multi Myograph System. At the same time, the protein expression changes of aortic smooth muscle contraction signaling pathway in mice were determined by Western method. Results Compared with the control group, the blood glucose and body weight levels of the mice in the T2DM group significantly increased, and the cardiac function was abnormal (P <0. 01). The contractile response of the aorta of the diabetic mice induced by the contractile agents Phe, 5-HT and CaCl