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 explore the feasibility of establishing combat readiness blood bank with low titer group O whole blood and group A plasma.Methods:The Galileo automatic blood analyzer was used to detect the titers of IgM anti-A and anti-B antibodies in the samples of group O blood donors and IgM anti-B titer in the samples of group A blood donors.Group O blood donors with antibody titers below 128 were selected and included in the mobile blood bank for combat readiness,group A plasma with anti-B titer lower than 128 and group O whole blood with antibody titers below 128 were included in the combat readiness entity blood bank.Results:A total of 1 452 group O blood donors were selected,and the anti-A/B antibody titers were detected.Both antibody titers were distributed below 512,and both peak values of sample distribution were at titer 4.The proportion of samples with titers＞128 for both antibodies was relatively low.There was a significant positive correlation between the titers of the two antibodies(r=0.383),and the proportion of samples with IgM anti-A titer higher than IgM anti-B titer was relatively high.1 335(91.94％)group O blood donors with IgM anti-A and anti-B antibody titers＜128 could be included in the mobile blood bank.The anti-B titer of group A blood was detected in 512 cases and the results showed that as the antibody titer increased,the proportion of blood donors gradually decreased.99.8％of group A blood donors had anti-B antibody titer less than 128,and only one case did not meet the inclusion criteria.Conclusion:The proportion of group O blood donors whose whole blood meet the low antibody titer standard is high,and almost all plasma of group A blood donors meet the low titer standard,which improves the blood supply rate in emergencies.

Objective To predict fetal distress in oligohydramnios fetuses in mid-pregnancy by monitoring the blood flows in middle cerebral artery,renal artery and umbilical artery by means of ultrasound.Methods Totally 104 mid-pregnancy women with oligohydramnios in some hospital from January 2020 to May 2022 were selected retrospectively,and were divided into a distress group(n=43)and a non-distress group(n=48)based on the presence of fetal distress.Logistic multivariate regression was used to analyze the risk factors for the occurrence of fetal distress;the predictive value for fetal distress was assessed with ROC curves;a Bayesian network model was constructed and validated.Results The independent risk factors for fetal distress included abnormal findings in fetal movement,fetal cardiac monitoring,lipid levels and blood rheology indices and abnormal parameters of middle cerebral artery,renal artery,and umbilical artery(P＜0.05).Higher predictive efficiency could be obtained for fetal distress when the blood flow parameters of middle cerebral artery,renal artery and umbilical artery were combined than only the parameters of only one artery were involved in.The Bayesian network model predicted an increase in the incidence of fetal distress from 49.9％to 61.50％when the probability of abnormality in all the three artery parameters was 100％,which proved to gain a high net benefit.Conclusion For mid-pregnancy women combined monitoring of the blood flow parameters of middle cerebral artery,renal artery and umbilical artery may predict fetal distress effectively.[Chinese Medical Equipment Journal,2024,45(5):60-66]

Objective To observe the therapeutic effect and mechanism of acupuncture at Zusanli-Zhongwan combined matching points on rats with exercise-induced stress gastric ulcer.Methods Forty male SD rats were randomly divided into blank group,model group,acupuncture group and Omeprazole group,with 10 rats in each group.Except for the blank group,the rats in the other groups were used to construct the model of exercise stress gastric ulcer by daily exhaustive swimming.After successful modeling,the acupuncture group was intervened by acupuncture at Zusanli(ST36)and Zhongwan(RN12),once a day,10 minutes each time.Rats in the Omeprazole group were given Omeprazole Enteric-Coated Tablets distilled water suspension by gavage two hours before daily swimming.After continuous 7-day intervention,the overall state and behavior of rats were observed,the gastric mucosal injury index was calculated by Guth method,the pathological morphology of gastric mucosa was observed by hematoxylin-eosin(HE)staining,the contents of superoxide dismutase(SOD),glutathione peroxidase(GSH-PX)and malondialdehyde(MDA)in serum were correspondingly determined by WST-1 method,colorimetry and TBA method,respectively,enzyme-linked immunosorbent assay(ELISA)was used to detect the contents of gastrin(GAS),somatostatin(SS),tumor necrosis factor-α(TNF-α),interleukin-1 β(IL-1β),interleukin-6(IL-6)and interleukin-10(IL-10)in serum,the expression levels of epidermal growth factor receptor(EGFR),matrix metalloproteinase 3(MMP3),nuclear factor erythroid-related factor 2(NRF2),heme oxygenase 1(HO-1)and mitochondrial SOD2,TNF-α,IL-1β,IL-6 and IL-10 mRNA in gastric mucosa were detected by real-time fluorescence quantitative polymerase chain reaction(qPCR).Results Compared with the blank group,the body mass of rats in the model group was increased slowly,the activity distance and activity in the open field test were decreased,the gastric mucosal ulcer index was increased significantly,the gastric mucosal function indexes involving GAS level was increased and SS level was decreased in serum,the mRNA expression level of EGFR in gastric mucosa was decreased and the mRNA expression level of MMP3 in gastric mucosa was increased.The serum levels of antioxidant substances SOD and GSH-PX were decreased significantly,and the serum level of oxidation product MDA was increased significantly.The mRNA expression levels of antioxidant genes NRF2,HO-1 and SOD2 in gastric mucosa were significantly decreased.The serum contents and the gastric mucosa mRNA levels of inflammatory factors TNF-α,IL-1α,IL-6 were significantly increased,while the serum content and the gastric mucosa mRNA level of IL-10 were significantly decreased.The differences were statistically significant(P＜0.05 or P＜0.01 or P＜0.001).HE staining showed obvious gastric mucosal injury.Compared with the model group,the above indexes in the acupuncture group and the Omeprazole group were significantly improved(P＜0.05 or P＜0.01 or P＜0.001).HE staining showed that the gastric mucosal injury was significantly reduced.Conclusion Acupuncture at Zusanli-Zhongwan combined matching points can reduce the local oxidative stress and inflammatory response in rats with exercise-induced stress gastric ulcer,reduce gastric mucosal injury,improve the emotional state of rats,and maintain the overall vitality of rats.

Chronic kidney disease(CKD)commonly used dietary assessments including 24-hour dietary recall(24 h DR)/3-day dietary recall(3DDR),food frequency questionnaire(FFQ),dietary records,and estimation of dietary protein intake based on nitrogen balance.Given the high prevalence of CKD patients in Asian population and the scarcity of research using FFQ method,it is crucial to develop an FFQ suitable for Chinese CKD patients.This review summarizes the advantages and disadvantages of dietary assessment methods for CKD,the current research status,and the content and steps involved in establishing an FFQ,with the aim of providing reference for the modification of FFQ for Chinese CKD patients.

Objective To investigate the current situation and influencing factors of latent tuberculosis infection(LTBI)among close contacts of positive etiology pulmonary tuberculosis(PTB)patients,provide basis for formula-ting intervention measures for LTBI.Methods A multi-stage stratified cluster random sampling method was used to select close contacts of positive etiology PTB patients from 39 districts and counties in Chongqing City as the study objects.Demographic information was collected by questionnaire survey and the infection of Mycobacterium tuberculosis was detected by interferon gamma release assay(IGRA).The influencing factors of LTBI were analyzed by x2 test and binary logistic regression model.Results A total of 2 591 close contacts were included,the male to female ratio was 0.69∶1,with the mean age of(35.72±16.64)years.1 058 cases of LTBI were detected,Myco-bacterium tuberculosis latent infection rate was 40.83％.Univariate analysis showed that the infection rate was dif-ferent among peoples of different age,body mass index(BMI),occupation,education level,marital status,wheth-er they had chronic disease or major surgery history,whether they lived together with the indicator case,and whether the cumulative contact time with the indicator case ≥250 hours,difference were all statistically significant(all P＜0.05);infection rate presented increased trend with the increase of age and BMI(both P＜0.001),and decreased trend with the increase of education(P＜0.05).Logistic regression analysis showed that age 45-54 years old(OR=1.951,95％CI:1.031-3.693),age 55-64 years old(OR=2.473,95％CI:1.279-4.781),other occupations(OR=0.530,95％CI:0.292-0.964),teachers(OR=0.439,95％CI:0.242-0.794),students(OR=0.445,95％CI:0.233-0.851),junior high school education or below(OR=1.412,95％CI:1.025-1.944),BMI＜18.5 kg/m2(OR=0.762,95％CI:0.586-0.991),co-living with indicator cases(OR=1.621,95％CI1.316-1.997)and cumu-lative contact time with indicator cases ≥250 hours(OR=1.292,95％CI:1.083-1.540)were the influential fac-tors for LTBI(all P＜0.05).Conclusion The close contacts with positive etiology PTB have a high latent infection rate of Mycobacterium tuberculosis,and it is necessary to pay attention to close contacts of high age,farmers,and frequent contact with patients,and take timely targeted interventions to reduce the risk of occurrence of disease.

AIM To investigate the effects of Zuogui Jiangtang Tongmai Recipe on necroptosis pathway in a rat model of type 2 diabetes mellitus(T2DM)complicated with cerebral infarction(CI).METHODS The SD rats were randomly divided into the sham operation group,the model group,the metformin group(0.045 g/kg),and the low,medium and high dose Zuogui Jiangtang Tongmai Recipe groups(6.5,13,26 g/kg),with 9 rats in each group.In contrast to rats of the sham operation group,rats of the other groups were given 4 weeks feeding of high-sugar and high-fat diet combined with intraperitoneal injection of streptozotocin to establish a T2DM rat model with one week stable blood glucose,followed by gavage of corresponding drugs 3 days before the establishment of the middle cerebral artery occlusion(MCAO)model.After 7 days of administration,the rats had their CI injury assessed by mNSS method and TTC staining;their level of blood glucose detected by blood glucose meter;their levels of glycated serum protein,serum TNF-α and IL-1β detected by ELISA;their cerebral mRNA expressions of FADD,RIPK1,RIPK3 and MLKL detected by RT-qPCR;and their cerebral protein expressions of FADD,p-RIPK1,p-RIPK3 and p-MLKL detected by Western blot.RESULTS Compared with the sham operation group,the model group displayed increased levels of blood glucose value,glycosylated serum protein,neurological function score,cerebral infarction volume,cerebral FADD,RIPK1,RIPK3 and MLKL mRNA expressions,cerebral FADD,p-RIPK1,p-RIPK3 and p-MLKL protein expressions,serum TNF-α and IL-1β levels(P＜0.01);and more disordered and morphologically diverse neurons with smaller nucleus.Compared with the model group,the groups intervened with medium or high dose Zuogui Jiangtang Tongmai Recipe,or metformin shared improvement in terms of the aforementioned indices(P＜0.05,P＜0.01);and more neurons with regular morphology neat arrangement,and reduced cell gap.CONCLUSION Zuogui Jiangtang Tongmai Recipe can improve the neurological dysfunction of the rat model of T2DM complicated with CI,which may associate with the inhibited activation of necroptosis signaling pathway.

As artificial intelligence technology rapidly advances, its deployment within the medical sector presents substantial ethical challenges. Consequently, it becomes crucial to create a standardized, transparent, and secure framework for processing medical data. This includes setting the ethical boundaries for medical artificial intelligence and safeguarding both patient rights and data integrity. This consensus governs every facet of medical data handling through artificial intelligence, encompassing data gathering, processing, storage, transmission, utilization, and sharing. Its purpose is to ensure the management of medical data adheres to ethical standards and legal requirements, while safeguarding patient privacy and data security. Concurrently, the principles of compliance with the law, patient privacy respect, patient interest protection, and safety and reliability are underscored. Key issues such as informed consent, data usage, intellectual property protection, conflict of interest, and benefit sharing are examined in depth. The enactment of this expert consensus is intended to foster the profound integration and sustainable advancement of artificial intelligence within the medical domain, while simultaneously ensuring that artificial intelligence adheres strictly to the relevant ethical norms and legal frameworks during the processing of medical data.
Artificial Intelligence/legislation & jurisprudence* ; Humans ; Consensus ; Computer Security/standards* ; Confidentiality/ethics* ; Informed Consent/ethics*