Metabolites produced as intermediaries or end-products of microbial metabolism provide crucial signals for health and diseases, such as metabolic dysfunction-associated steatotic liver disease (MASLD). These metabolites include products of the bacterial metabolism of dietary substrates, modification of host molecules (such as bile acids [BAs], trimethylamine-N-oxide, and short-chain fatty acids), or products directly derived from bacteria. Recent studies have provided new insights into the association between MASLD and the risk of developing chronic kidney disease (CKD). Furthermore, alterations in microbiota composition and metabolite profiles, notably altered BAs, have been described in studies investigating the association between MASLD and the risk of CKD. This narrative review discusses alterations of specific classes of metabolites, BAs, fructose, vitamin D, and microbiota composition that may be implicated in the link between MASLD and CKD.

Metabolites produced as intermediaries or end-products of microbial metabolism provide crucial signals for health and diseases, such as metabolic dysfunction-associated steatotic liver disease (MASLD). These metabolites include products of the bacterial metabolism of dietary substrates, modification of host molecules (such as bile acids [BAs], trimethylamine-N-oxide, and short-chain fatty acids), or products directly derived from bacteria. Recent studies have provided new insights into the association between MASLD and the risk of developing chronic kidney disease (CKD). Furthermore, alterations in microbiota composition and metabolite profiles, notably altered BAs, have been described in studies investigating the association between MASLD and the risk of CKD. This narrative review discusses alterations of specific classes of metabolites, BAs, fructose, vitamin D, and microbiota composition that may be implicated in the link between MASLD and CKD.

Metabolites produced as intermediaries or end-products of microbial metabolism provide crucial signals for health and diseases, such as metabolic dysfunction-associated steatotic liver disease (MASLD). These metabolites include products of the bacterial metabolism of dietary substrates, modification of host molecules (such as bile acids [BAs], trimethylamine-N-oxide, and short-chain fatty acids), or products directly derived from bacteria. Recent studies have provided new insights into the association between MASLD and the risk of developing chronic kidney disease (CKD). Furthermore, alterations in microbiota composition and metabolite profiles, notably altered BAs, have been described in studies investigating the association between MASLD and the risk of CKD. This narrative review discusses alterations of specific classes of metabolites, BAs, fructose, vitamin D, and microbiota composition that may be implicated in the link between MASLD and CKD.

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 understand the infection status of patients with maintenance hemodialysis(MHD)in Guizhou Province,and provide basis for the prevention and control of hemodialysis-related infection.Methods MHD patients in hemodialysis centers of 124 secondary and or higher grade medical institutions in Guizhou Province from July to December 2022 were surveyed.Survey content included the general conditions of patients,hemodialysis-related conditions,infection of pathogens of blood-borne diseases,and other infection-related conditions.Results A total of 15 114 MHD patients were surveyed,with age mainly ranging from 36 to＜60 years old(55.83％).Hemodialysis history ranged mainly from 1 year to＜5 years(59.37％),and the frequency of hemodi-alysis was mainly 3 times per week(73.91％).Autologous arteriovenous fistula(AVF)was the major vascular access for dialysis,with a total of 12 948 cases(85.77％).The main primary disease was chronic renal failure(99.89％).The infection rates of hepatitis B virus(HBV),hepatitis C virus(HCV),human immunodeficiency vi-rus(HIV),and Treponema pallidum in MHD patients were 5.29％,0.64％,0.24％,and 1.70％,respectively.HBV infection rates among MHD patients of different ages,different numbers of dialysis hospitals,and dialysis in-stitutions of different scales showed statistically significant differences(all P＜0.05).HCV infection rates among MHD patients of different ages,with different dialysis times and from institutions of different scales were signifi-cantly different(all P＜0.05).TP infection rates among MHD patients of different ages and different numbers of dialysis hospitals were all significantly different(all P＜0.05).Infection rates of HBV and HCV in MHD patients aged from 36 to 60 years old(not included)were relatively higher(6.10％and 0.84％,respectively).Patients with dialysis time ≥10 years had a higher HCV infection rate(1.64％).Infection rates of HCV,HIV,and TP in pa-tients dialyzed in medical institutions with ≥90 dialysis beds were relatively higher(0.74％,0.28％,and 1.94％,respectively).Medical institutions with＜30 dialysis beds had the highest HBV infection rate(18.64％).There were 9 cases(0.06％)of vascular puncture infection,12 cases(0.08％)of bloodstream infection,7 cases(0.05％)of vascular access-related bloodstream infection,and 30 cases(0.20％)of pulmonary infection.Vascular access-re-lated bloodstream infection rate and pulmonary infection rate among MHD patients with different types of vascular access showed statistically significant difference(all P＜0.05).Vascular access-related bloodstream infection rate(0.37％)and pulmonary infection rate(1.10％)of patients with non-cuffed catheters vascular access were higher than those of other types.Conclusion MHD patients in Guizhou Province are mainly middle-aged and young peo-ple,with more males than females.The dialysis frequency is mostly 3 times per week,and AVF is the major vascu-lar access.MHD patients are prone to complications such as infections of HBV,HCV,HIV,and TP,as well as bloodstream infection and pulmonary infection.

Background Sleep disturbances in children and adolescents have become a global public health concern,with pronounced issues in the Western China.Despite this,research on the prevalence of insomnia and its influencing factors among children and adolescents in Chongqing is still lacking.Objective To understand the prevalence of insomnia and analyze its influencing factors among children and adolescents in Chongqing,so as to provide references for clinical interventions and preventive strategies of insomnia.Methods A stratified random sampling method was used to select 9 969 children and adolescents in Chongqing from November to December 2021.Insomnia Severity Index(ISI)and a self-designed questionnaire on awareness of core mental health knowledge were administered.Binary Logistic regression analysis was used to identify the influencing factors of insomnia in this population.Results A total of 3 578 children and adolescents(35.89％)were found to have insomnia symptoms.There were statistically significant differences in the detection of insomnia symptoms among gender,ethnicity,education level,domicile,only-child status,parental education level,introversion/extroversion,parental relationship,average monthly per capita income,family history of mental illness,medical insurance coverage,living situation and understanding of mental health knowledge(P<0.05 or 0.01).Binary Logistic regression analysis identified several risk factors for insomnia,including female gender(OR=1.301,95％CI:1.192～1.419),ethnic minority status(OR=1.163,95％CI:1.015～1.333),junior high school for education level(OR=1.985,95％CI:1.774～2.220),senior high school for education level(OR=3.085,95％CI:2.749～3.462),non-only-child status(OR=1.127,95％CI:1.013～1.253),degree of harmony between parents is not high or not harmonious[(OR=1.846,95％CI:1.669～2.041 for relatively harmonious;OR=2.524,95％CI:2.214～2.877 for generally harmonious;OR=2.452,95％CI:1.999～3.007 for not very harmonious;OR=2.926,95％CI:2.307～3.710 for very discordant)]and incomplete medical insurance coverage(OR=1.218,95％CI:1.093～1.358).Protective factors included an extroverted personality(OR=0.838,95％CI:0.766～0.917),absence of family history of mental illness(OR=0.719,95％CI:0.549～0.941),junior high school for mother's education level(OR=0.822,95％CI:0.734～0.920),senior high school or secondary specialized school for mother's education level(OR=0.862,95％CI:0.752～0.988),college and above for mother's education level(OR=0.748,95％CI:0.633～0.884)and knowledge of mental health(OR=0.854,95％CI:0.778～0.937).Conclusion The problem of insomnia among children and adolescents in Chongqing is quite serious.Risk factors for insomnia include female gender,ethnic minority status,higher education levels,being a non-only child,poor family relationships and incomplete medical insurance.Conversely,an extroverted personality,absence of family history of mental illness,higher maternal education and knowledge of mental health serve as protective factors against insomnia.

Objective To investigate the effect of osimertinib combined with aspirin on the survival pe-riod of the advanced lung adenocarcinoma patients with epidermal growth factor receptor(EGFR)mutation.Methods Sixty lung adenocarcinoma patients with EGFR mutation in advanced non-small cell lung cancer(NSCLC)first diagnosed in Banan District Second People's Hospital of from August 2020 to October 2021 were selected as the study subjects and divided into the observation group and control group by the random number table method,30 cases in each group.The observation group adopted osimertinib combined with aspi-rin,and the control used osimertinib merely.The overall response rate(ORR),disease control rate(DCR),progression-free survival(PFS),overall survival(OS)and the adverse reactions occurrence were compared between the two groups.Results ORR and DCR after 3,6,12 months medication in the observation group were higher than those in the control group,but the differences were not statistically significant(P＞0.05).Compared with the control group,PFS and OS in the observation group were longer,and the differences were statistically significant[14.9(11.8,17.2)m vs.10.5(8.9,12.5)m;24.1(19.5,27.4)m vs.18.1(16.1,21.1)m,P＜0.05].In addition,PFS and OS in male and female patients with brain metastasis,EGER19 and 21 ex-on mutation in the observation group were longer than those in the control group,and the differences were statistically significant(P＜0.05).There was no statistically significant difference in overall and≥Ⅲ degree adverse reactions between the two groups(P＞0.05).Conclusion Osimertinib combined with aspirin could prolong PFS and OS of the advanced lung adenocarcinoma patients with EGFR mutation without increasing the risk of adverse reactions.

Purpose::To identify the risk factors for training-related lower extremity muscle injuries in young males by a non-invasive method of body composition analysis.Methods::A total of 282 healthy young male volunteers aged 18 -20 years participated in this cohort study. Injury location, degree, and injury rate were adjusted by a questionnaire based on the overuse injury assessment methods used in epidemiological studies of sports injuries. The occurrence of training injuries is monitored and diagnosed by physicians and treated accordingly. The body composition was measured using the BodyStat QuadScan 4000 multifrequency Bio-impedance system at 5, 50, 100 and 200 kHz to obtain 4 impedance values. The Shapiro-Wilk test was used to check whether the data conformed to a normal distribution. Data of normal distribution were shown as mean ± SD and analyzed by t-test, while those of non-normal distribution were shown as median (Q 1, Q 3) and analyzed by Wilcoxon rank sum test. The receiver operator characteristic curve and logistic regression analysis were performed to investigate risk factors for developing training-related lower extremity injuries and accuracy. Results::Among the 282 subjects, 78 (27.7%) developed training injuries. Lower extremity training injuries revealed the highest incidence, accounting for 23.4% (66 cases). These patients showed higher percentages of lean body mass ( p = 0.001), total body water (TBW, p=0.006), extracellular water ( p=0.020) and intracellular water ( p=0.010) as well as a larger ratio of basal metabolic rate/total weight ( p=0.006), compared with those without lower extremity muscle injuries. On the contrary, the percentage of body fat ( p=0.001) and body fat mass index ( p=0.002) were lower. Logistic regression analysis showed that TBW percentage > 65.35% ( p=0.050, odds ratio =3.114) and 3rd space water > 0.95% ( p=0.045, odds ratio =2.342) were independent risk factors for lower extremity muscle injuries. Conclusion::TBW percentage and 3rd space water measured with bio-impedance method are potential risk factors for predicting the incidence of lower extremity muscle injuries in young males following training.

Objective:To explore the effect of fully automatic image segmentation of adenoid and nasopharyngeal airway by deep learning model based on U-Net network. Methods:From March 2021 to March 2022, 240 children underwent cone beam computed tomography（CBCT） in the Department of Otolaryngology, Head and Neck Surgery, General Hospital of Shenzhen University. 52 of them were selected for manual labeling of nasopharynx airway and adenoid, and then were trained and verified by the deep learning model. After applying the model to the remaining data, compare the differences between conventional two-dimensional indicators and deep learning three-dimensional indicators in 240 datasets. Results:For the 52 cases of modeling and training data sets, there was no significant difference between the prediction results of deep learning and the manual labeling results of doctors（P>0.05）. The model evaluation index of nasopharyngeal airway volume: Mean Intersection over Union（MIOU） s （86.32±0.54）%; Dice Similarity Coefficient（DSC）: （92.91±0.23）%; Accuracy: （95.92±0.25）%; Precision: （91.93±0.14）%; and the model evaluation index of Adenoid volume: MIOU: （86.28±0.61）%; DSC: （92.88±0.17）%; Accuracy: （95.90±0.29）%; Precision: （92.30±0.23）%. There was a positive correlation between the two-dimensional index A/N and the three-dimensional index AV/（AV+NAV） in 240 children of different age groups（P<0.05）, and the correlation coefficient of 9-13 years old was 0.74. Conclusion:The deep learning model based on U-Net network has a good effect on the automatic image segmentation of adenoid and nasopharynx airway, and has high application value. The model has a certain generalization ability.
Child ; Humans ; Adolescent ; Adenoids/diagnostic imaging* ; Image Processing, Computer-Assisted/methods* ; Pharynx ; Cone-Beam Computed Tomography ; Nose

Abstract OBJECTIVE To construct an intelligent medical supply chain management platform and explore the closed-loop management model of the entire medical supply chain process. METHODS Identify the problems in the traditional drug supply chain management model of medical institutions and propose the idea of building an intelligent medical supply chain management platform. At the same time, systematically introduce the architecture and management of this platform and evaluates its application effect. RESULT After the implementation of the platform, notable enhancements had been observed in the hospital drug supply chain regarding information and intelligence. Moreover, the work efficiency of the hospital drug supply chain had been improved, facilitated the interconnection of drug information between medical institutions, designated medical security information platforms, and pharmaceutical enterprises. Furthermore, the platform had successfully facilitated "resource sharing and technical support" among these three entities, enabling comprehensive traceability of the entire drug supply chain within the region. CONCLUSION Building an intelligent medical supply chain management platform based on internet information technology can help promote digital reform in hospitals, strengthen pharmaceutical management levels, improve medical service quality and has widespread application value within the industry.