OBJECTIVE: To investigate the associations between eight serum per- and polyfluoroalkyl substances (PFASs) and regional fat depots, we analyzed the data from the National Health and Nutrition Examination Survey (NHANES) 2011-2018 cycles. METHODS: Multiple linear regression models were developed to explore the associations between serum PFAS concentrations and six fat compositions along with a fat distribution score created by summing the concentrations of the six fat compositions. The associations between structurally grouped PFASs and fat distribution were assessed, and a prediction model was developed to estimate the ability of PFAS exposure to predict obesity risk. RESULTS: Among females aged 39-59 years, trunk fat mass was positively associated with perfluorooctane sulfonate (PFOS). Higher concentrations of PFOS, perfluorohexane sulfonate (PFHxS), perfluorodecanoate (PFDeA), perfluorononanoate (PFNA), and n-perfluorooctanoate (n-PFOA) were linked to greater visceral adipose tissue in this group. In men, exposure to total perfluoroalkane sulfonates (PFSAs) and long-chain PFSAs was associated with reductions in abdominal fat, while higher abdominal fat in women aged 39-59 years was associated with short-chain PFSAs. The prediction model demonstrated high accuracy, with an area under the curve (AUC) of 0.9925 for predicting obesity risk. CONCLUSION PFAS exposure is associated with regional fat distribution, with varying effects based on age, sex, and PFAS structure. The findings highlight the potential role of PFAS exposure in influencing fat depots and obesity risk, with significant implications for public health. The prediction model provides a highly accurate tool for assessing obesity risk related to PFAS exposure.
Humans ; Fluorocarbons/blood* ; Female ; Adult ; Middle Aged ; Male ; Environmental Pollutants/blood* ; Abdominal Fat ; Nutrition Surveys ; Alkanesulfonic Acids/blood* ; Obesity ; Environmental Exposure

OBJECTIVE: To identify the key features of facial and tongue images associated with anemia in female populations, establish anemia risk-screening models, and evaluate their performance. METHODS: A total of 533 female participants (anemic and healthy) were recruited from Shuguang Hospital. Facial and tongue images were collected using the TFDA-1 tongue and face diagnosis instrument. Color and texture features from various parts of facial and tongue images were extracted using Face Diagnosis Analysis System (FDAS) and Tongue Diagnosis Analysis System version 2.0 (TDAS v2.0). Least Absolute Shrinkage and Selection Operator (LASSO) regression was used for feature selection. Ten machine learning models and one deep learning model (ResNet50V2 + Conv1D) were developed and evaluated. RESULTS: Anemic women showed lower a-values, higher L- and b-values across all age groups. Texture features analysis showed that women aged 30-39 with anemia had higher angular second moment (ASM)and lower entropy (ENT) values in facial images, while those aged 40-49 had lower contrast (CON), ENT, and MEAN values in tongue images but higher ASM. Anemic women exhibited age-related trends similar to healthy women, with decreasing L-values and increasing a-, b-, and ASM-values. LASSO identified 19 key features from 62. Among classifiers, the Artificial Neural Network (ANN) model achieved the best performance [area under the curve (AUC): 0.849, accuracy: 0.781]. The ResNet50V2 model achieved comparable results [AUC: 0.846, accuracy: 0.818]. CONCLUSION Differences in facial and tongue images suggest that color and texture features can serve as potential TCM phenotype and auxiliary diagnostic indicators for female anemia.
Humans ; Female ; Tongue/diagnostic imaging* ; Adult ; Anemia/diagnosis* ; Middle Aged ; Face/diagnostic imaging* ; Young Adult ; Machine Learning

As an indispensable trace element in the human body,copper plays an important role in various physiological and biochemical reactions.The dyshomeostasis of copper leads to the disorder of copper metabolism and the occurrence of related diseases.Cuproptosis,a newly proposed regulatory cell death mode,is different from the known apoptosis,pyroptosis,necroptosis,and ferroptosis.Recent studies have found that the dyshomeostasis of copper has been observed in a variety of cancers.Therefore,targeting copper for disease treatment may become a new strategy and a new idea.This article systematically summarizes the fundamental properties of copper,copper dyshomeostasis-related diseases (Menkes syndrome,Wilson's disease,and cancer) and their treatment,and reviews the research progress in cuproptosis.
Humans ; Copper/metabolism* ; Homeostasis ; Neoplasms/metabolism* ; Hepatolenticular Degeneration/metabolism* ; Menkes Kinky Hair Syndrome/metabolism*

ObjectiveThis study aimed to investigate the effects of 4-week high-intensity interval training (HIIT) on synaptic plasticity in the prefrontal cortex (PFC) of rats exposed to chronic unpredictable mild stress (CUMS), and to explore its potential mechanisms. MethodsA total of 48 male Sprague-Dawley rats were randomly divided into 4 groups: control (C), model (M), control plus HIIT (HC), and model plus HIIT (HM). Rats in groups M and HM underwent 8 weeks of CUMS to establish depression-like behaviors, while groups HC and HM received HIIT intervention beginning from the 5th week for 4 consecutive weeks. The HIIT protocol consisted of repeated intervals of 3 min at high speed (85%-90% maximal training speed, S_max) alternated with one minute at low speed (50%-55% S_max), with 3 to 5 sets per session, conducted 5 d per week. Behavioral assessments and tail-vein blood lactate levels were measured at the end of the 4th and 8th weeks. After the intervention, rat PFC tissues were collected for Golgi staining to analyze synaptic morphology. Enzyme-linked immunosorbent assays (ELISA) were employed to detect brain-derived neurotrophic factor (BDNF), monocarboxylate transporter 1 (MCT1), lactate, and glutamate levels in the PFC, as well as serotonin (5-HT) levels in serum. Additionally, Western blot analysis was conducted to quantify the expression of synaptic plasticity-related proteins, including c-Fos, activity-regulated cytoskeleton-associated protein (Arc), and N-methyl-D-aspartate receptor 1 (NMDAR1). ResultsCompared to the control group (C), the CUMS-exposed rats (group M) exhibited significant reductions in sucrose preference rates, number of grid crossings, frequency of upright postures, and entries into and duration spent in open arms of the elevated plus maze, indicating marked depressive-like behaviors. Additionally, the group M showed significantly reduced dendritic spine density in the PFC, along with elevated levels of c-Fos, Arc, NMDAR1 protein expression, and increased concentrations of lactate and glutamate. Conversely, BDNF and MCT1 contents in the PFC and 5-HT levels in serum were significantly decreased. Following HIIT intervention, rats in the group HM displayed considerable improvement in behavioral indicators compared with the group M, accompanied by significant elevations in PFC MCT1 and lactate concentrations. Furthermore, HIIT notably normalized the expression levels of c-Fos, Arc, NMDAR1, as well as glutamate and BDNF contents in the PFC. Synaptic spine density also exhibited significant recovery. ConclusionFour weeks of HIIT intervention may alleviate depressive-like behaviors in CUMS rats by increasing lactate levels and reducing glutamate concentration in the PFC, thereby downregulating the overexpression of NMDAR, attenuating excitotoxicity, and enhancing synaptic plasticity.

BACKGROUND:Microplastics are a common environmental pollutant that can cause damage to the gastrointestinal tract,liver and kidney,and reproductive system.However,little is known about the effects of microplastics on the prostate.OBJECTIVE:To investigate the effects of different charge-modified polystyrene microplastics on prostate tissues of male mice and its mechanism.METHODS:A total of 48 male BALB/c mice were randomly divided into a control group,an unmodified microplastic group,a negatively charged microplastic group,and a positively charged microplastic group using a random number table,with 12 mice in each group.The mice in the control group were given ddH2O by gavage;the mice in the unmodified microplastic group were given unmodified polystyrene microplastics by gavage,and the mice in the negatively charged microplastic group and the positively charged microplastic group were given negatively charged polystyrene microplastics and positively charged polystyrene microplastics by gavage,respectively,once a day for 4 consecutive weeks.The body weight,drinking water,and food intake of the mice were detected every week.After gavage,the prostate mass,prostate coefficient,prostate histopathological morphology,inflammatory factor expression,microplastic accumulation in the prostate tissue of the mice,and the mRNA and protein expressions of hypoxia-inducible factor 1α and vascular endothelial growth factor were compared among the groups of mice.RESULTS AND CONCLUSION:(1)With the prolongation of microplastic exposure time,the body weight of mice in the unmodified microplastics group and the positively charged microplastics exposure group was significantly suppressed.(2)After exposure to microplastics,they could enter the urinary system of mice,including prostate and bladder tissue.Among the mice in the positively charged microplastic group,the prostate mass and prostate coefficient increased most significantly.(3)Compared with the control group,the mass concentration and mRNA expression of interleukin 6,interleukin 1β,and tumor necrosis factorα were increased in the prostate tissue of the other three groups of mice(P＜0.05).Among them,the positively charged microplastic group exhibited most obvious increase.(4)Hematoxylin-eosin staining showed that the prostate tissue of mice in the unmodified microplastic group,negatively charged microplastic group,and positively charged microplastic group showed obvious proliferation of prostate epithelial cells and matrix,a significant increase in acini,and infiltration of a large number of inflammatory cells.Masson and Sirius red staining showed that compared with the control group,the prostate tissue of mice in the other three groups had obvious fibrosis.Immunohistochemical staining showed that compared with the control group,angiogenesis in the prostate tissue of mice increased in the other three groups(P＜0.05).(5)Compared with the control group,the mRNA and protein expressions of hypoxia-inducible factor 1αand vascular endothelial growth factor were increased in the prostate tissue of the other three groups of mice(P＜0.05),among which the negatively charged microplastic group and the positively charged microplastic group exhibited more significant increase.(6)The results show that polystyrene microplastics can enhance the release of inflammatory factors in mouse prostate tissue,promote angiogenesis in prostate tissue by activating the hypoxia-inducible factor 1α/vascular endothelial growth factor signaling pathway,and provide nutrition support for prostate hyperplasia and fibrosis.

Objective:To construct a decision tree model to predict the risk of breast cancer in patients with pathological nipple discharge.Methods:A total of 157 patients with pathological nipple discharge,who were diagnosed and treated at Weifang Municipal Hospital of Traditional Chinese Medicine from January 2019 to April 2024 and met the inclusion criteria,were selected.A risk prediction model for concurrent breast cancer in patients with pathological nipple discharge was developed using Logistic regression analysis.A decision tree was then constructed,and the predictive performance of the model was assessed based on the area under the receiver operating characteristic curve(AUC).Re-sults:The incidence of concurrent breast cancer among patients with pathological nipple discharge was 24.2%.Accord-ing to the results of binary Logistic regression analysis,elevated CEA and CA 153 levels in nipple discharge,as well as bloody discharge,emerged as independent risk factors for the development of breast cancer in such patients(P<0.05).Based on these findings,a decision tree model was constructed to predict the risk of concurrent breast cancer in patients with pathological nipple discharge.The validation results showed that the Logistic regression model had an AUC value of 0.800,while the decision tree model achieved an AUC value of 0.889.Conclusions:The decision tree model,built upon the identified influencing factors,exhibits strong predictive power for the risk of developing concurrent breast can-cer in patients with pathological nipple discharge,thus facilitating more precise preoperative diagnoses by clinicians for these patients.

This study analyzed the burden and trends in enteric infections in China from 1990 to 2021 from a One Health perspec-tive.Data on mortality associated with enteric infections were extracted from the 2021 Global Burden of Disease(GBD)database.The analysis focused on assessing the mortality rates of enteric infectious diseases attributed to various etiologies and risk factors,along with the age and sex distribution,from 1990 to 2021.Average annual percentage change(AAPC)was used to assess the total changes in disease burden.The age-standardized mortality rate of intestinal infections in China decreased from 9.642/100 000 in 1990 to 0.439/100 000 in 2021,with an AAPC of-57.103%(95%CI:-57.118%to-57.088%).In 2021,Rotavirus,Norovirus,and Crypto-sporidium were the top three etiologies contributing to disease burden,with mortality rates of 1.020/100 000,0.040/100 000 and 0.079/100 000,respectively.A significant variation in etiology distribution was observed across age groups:Rotavirus,Shigella,and Crypto-sporidium dominated among children under 5 years of age,whereas Cryptosporidium,Norovirus,and Clostridioides difficile were more prevalent in older populations.Risk factor analysis indicated that unsafe water sources and poor sanitation accounted for 73.394%of all enteric disease-related deaths.In conclusion,the burden of enteric infections in China markedly declined from 1990 to 2021,and sig-nificant variations in the etiological spectrum and disease burden were observed across age groups.The persistent effects of unsafe wa-ter sources and poor sanitation underscore the need for targeted interventions to further decrease the burden of these diseases.Our find-ings highlight the success of public health interventions in decreasing the burden of enteric infections in China,while emphasizing the need for targeted measures to address disparities in high-risk populations and improve environmental sanitation.

Objective To explore the predictive efficacy of several multimodal MRI-based machine learning models for the promoter methylation states of O6-methylguanine-DNA methyltransferase(MGMT)of glioblastoma muliforme(GBM)patients in terms of the GBM heterogeneity and the complexity of the tumor microenvironment.Methods Firstly,the multimodal MRI images of 317 GBM patients from The University of Pennsylvania Glioblastoma(UPENN-GBM)dataset were pre-processed,with four sequences involved in including T1-weighted imaging(T1WI)sequence,T1-weighted contrast-enhanced imaging(T1CE)sequence,T2-weighted imaging(T2WI)sequence and fluid-attenuated inversion recovery(FLAIR)sequence,and the radiomics features were extracted for two regions of interest(ROIs)such as the tumor core region and the tumor edema region.Secondly,the data of the 317 GBM patients were randomly divided into a training set(254 cases)and a test set(63 cases),which underwent normalization with Z-scores and feature selection and dimensionality reduction with Lasso regression.Finally,three models were established respectively with particle swarm optimization-support vector machine(PSO-SVM),C-support vector classification(C-SVC)and adaptive boosting(adaptive boosting(Adaboost)algorithms,and the predictive efficacy of the three models for glioblastoma multiforme MGMT promoter methylation states were evaluated in terms of accuracy and AUC.Results The Adaboost model based on T2WI sequence and radiomics features of the tumor core region had the highest predictive efficacy with accuracy and AUC values of 67％and 0.74,respectively,higher than those of other combinations of sequences,models and regions of interest.Conclusion The multimodal MRI-based machine learning models can be used for the prediction of glioblastoma multiforme MGMT promoter methylation states,which provides powerful support for personalized treatment and prognostic assessment of GBM.[Chinese Medical Equipment Journal,2025,46(6):7-13]

Objective:To study the correlation between iodine level in drinking water and conventional water quality indicators.Methods:From June 2017 to July 2018, a simple random sampling method was used to select administrative villages (communities) from 88 counties (cities, districts) in Guizhou Province with a sampling size greater than 5%. One drinking water sample was collected from each administrative village (community), and conventional water quality indicators (including fluorine, aluminum, mercury, selenium, sulfate, total dissolved solids and total hardness) were tested in accordance with the methods outlined in the "Standards for Drinking Water Quality" (GB 5749-2006). The cerium sulfate catalytic spectrophotometric method was employed to test drinking water iodine level. Spearman method was utilized to analyze the correlation between iodine level in drinking water and conventional water quality indicators.Results:A total of 904 drinking water samples were tested, with a median iodine level of 1.90 μg/L and a range of 0.10 - 36.70 μg/L. There were 899 administrative villages (communities) with a water iodine level of less than 10 μg/L, accounting for 99.45%. There were only 5 administrative villages (communities) with a water iodine level of greater than 10 μg/L, accounting for 0.55%. Correlation analysis revealed that in Guizhou Province, the iodine level in drinking water was positively correlated with the levels of fluorine, aluminum, sulfate, total dissolved solids, and total hardness [correlation coefficients ( r) = 0.11, 0.07, 0.07, 0.08, 0.07, P < 0.05], and was a negatively correlated with mercury and selenium levels ( r = - 0.12, - 0.12, P < 0.001). Conclusions:External environment in Guizhou Province is generally deficient in iodine. The iodine level in drinking water is positively correlated with the levels of fluorine, aluminum, sulfate, total dissolved solids, and total hardness, and negatively correlated with the levels of mercury and selenium.

BACKGROUND:Microplastics are a common environmental pollutant that can cause damage to the gastrointestinal tract,liver and kidney,and reproductive system.However,little is known about the effects of microplastics on the prostate.OBJECTIVE:To investigate the effects of different charge-modified polystyrene microplastics on prostate tissues of male mice and its mechanism.METHODS:A total of 48 male BALB/c mice were randomly divided into a control group,an unmodified microplastic group,a negatively charged microplastic group,and a positively charged microplastic group using a random number table,with 12 mice in each group.The mice in the control group were given ddH2O by gavage;the mice in the unmodified microplastic group were given unmodified polystyrene microplastics by gavage,and the mice in the negatively charged microplastic group and the positively charged microplastic group were given negatively charged polystyrene microplastics and positively charged polystyrene microplastics by gavage,respectively,once a day for 4 consecutive weeks.The body weight,drinking water,and food intake of the mice were detected every week.After gavage,the prostate mass,prostate coefficient,prostate histopathological morphology,inflammatory factor expression,microplastic accumulation in the prostate tissue of the mice,and the mRNA and protein expressions of hypoxia-inducible factor 1α and vascular endothelial growth factor were compared among the groups of mice.RESULTS AND CONCLUSION:(1)With the prolongation of microplastic exposure time,the body weight of mice in the unmodified microplastics group and the positively charged microplastics exposure group was significantly suppressed.(2)After exposure to microplastics,they could enter the urinary system of mice,including prostate and bladder tissue.Among the mice in the positively charged microplastic group,the prostate mass and prostate coefficient increased most significantly.(3)Compared with the control group,the mass concentration and mRNA expression of interleukin 6,interleukin 1β,and tumor necrosis factorα were increased in the prostate tissue of the other three groups of mice(P＜0.05).Among them,the positively charged microplastic group exhibited most obvious increase.(4)Hematoxylin-eosin staining showed that the prostate tissue of mice in the unmodified microplastic group,negatively charged microplastic group,and positively charged microplastic group showed obvious proliferation of prostate epithelial cells and matrix,a significant increase in acini,and infiltration of a large number of inflammatory cells.Masson and Sirius red staining showed that compared with the control group,the prostate tissue of mice in the other three groups had obvious fibrosis.Immunohistochemical staining showed that compared with the control group,angiogenesis in the prostate tissue of mice increased in the other three groups(P＜0.05).(5)Compared with the control group,the mRNA and protein expressions of hypoxia-inducible factor 1αand vascular endothelial growth factor were increased in the prostate tissue of the other three groups of mice(P＜0.05),among which the negatively charged microplastic group and the positively charged microplastic group exhibited more significant increase.(6)The results show that polystyrene microplastics can enhance the release of inflammatory factors in mouse prostate tissue,promote angiogenesis in prostate tissue by activating the hypoxia-inducible factor 1α/vascular endothelial growth factor signaling pathway,and provide nutrition support for prostate hyperplasia and fibrosis.