1.Effect of Zaogong Erteng decoction on endometritis and TLR4-mediated signaling pathways
Yaqiu LI ; Qingcan GUAN ; Lixin WANG ; Nan KANG ; Huiling LIU ; Feng YAN ; Jinyu ZHANG ; Xuenan WANG ; Xiaoyan PAN
Chinese Journal of Reproduction and Contraception 2025;45(3):255-266
Objective:To investigate the possible mechanism of Zaogong Erteng decoction (ZGETD) in the treatment of endometritis.Methods:Femal mice were injected 2.5 mg/mL lipopolysaccharide into uterine horn to induce endometritis model. After modelling, low-dose ZGETD, high-dose ZGETD or amoxicillin was given once a day for 7 d. The appearance of the uterus and pathological changes of uterine tissue were observed 7 d later, and the uterine index was calculated. The expression of tumor necrosis factor (TNF)-α, interleukin (IL)-1β and IL-6 in mouse uterine tissue was detected by enzyme-linked immunosorbent assay. The activity of myeloperoxidase (MPO) in mouse uterine tissue was measured by redox reaction. The active ingredients of ZGETD and the target and signal pathway of treatment of endometritis were analyzed by network pharmacology. Western blotting and qRT-PCR were used to detect the expressions of Toll-like receptor 4 (TLR4), P65, p-P65, interferon regulatory factor 3 (IRF3) and p-IRF3 proteins and chemokines CXCL5 and CXCL8 in the mouse uterus, respectively. Terminal dUTP nick end labeling detected endometrial cell apoptosis and endometrial thickness was measured. After treatment, the female rats were mated with the male rats, and the mating rate, the pregnancy rate and the number of implantation sits in the injected uterine horn on day 8 of gestation were counted. Results:Both ZGETD and amoxicillin have atherapeutic effect on endometritis, but compared with low-dose ZGETD and amoxicillin, high-dose ZGETD can significantly alleviate the edema and congestion of uterine tissue and reduce the uterine index (all P=0.001). After treatment, the uterine cavity epithelium of mice was smooth and complete, the uterine gland structure was normal, and no bleeding area and inflammatory cell aggregation were observed. Compared with amoxicillin, high-dose ZGETD significantly decreased the expression of inflammatory factors (TNF-α, IL-1β and IL-6) and MPO activity (all P<0.001). The expression of chemokines ( CXCL5 and CXCL8) was significantly reduced (all P<0.05). The signaling pathways TLR4, nuclear factor kappa-B (NF-κB) and TNF related to the treatment of endometritis by ZGETD were screened by network pharmacology, and their action targets (TLR4, NF-κB and IRF3) were verified. Quercetin, fisetin and luteolin were found to be the most active ingredients acting on these targets. High-dose ZGETD significantly inhibited the activation of TLR4/NF-κB and TLR4/IRF3 pathways ( P<0.05), decreased endometrial cell apoptosis ( P<0.05), and increased endometrial thickness ( P<0.001), mating rate ( P<0.001), pregnancy rate ( P<0.001) and implantation site number of uterine horn on the injection side of LPS after treatment ( P=0.001). Conclusion:High-dose ZGETD has a significant therapeutic effect on endometritis, which may be closely related to the down-regulation of TLR4 signaling pathway.
2.Expert consensus on humanistic care for patients in hospice care
Lingling GU ; Yongyi CHEN ; Yan JIANG ; Yu CHENG ; Peng YUE ; Liqing YUE ; Wenjuan YING ; Ling YUAN ; Ying WANG ; Mingqin LUO ; Yonghong HU ; Lin WANG ; Yuanpeng REN ; Weiling LI ; Haixia LU ; Huiling LI
Chinese Journal of Nursing 2025;60(18):2181-2184
Objective The purpose of writing the"expert consensus on humanistic care for patients in hospice care"(hereinafter referred to as the"consensus")aims to standardize the practice of humanistic care in the field of hospice care,ensuring that humanistic care is integrated throughout the entire service process for hospice care patients and their families.Methods A systematic search was conducted in domestic and foreign databases for literature related to hospice care and humanistic care,including guidelines,expert consensuses,systematic reviews or Meta-analyses,and evidence summaries.High-quality evidence was evaluated,extracted,and summarized to form the initial draft of the"consensus".From June to October 2024,20 experts from the fields of hospice care,nursing humanities,and evidence-based nursing were invited to participate in 1 round of expert consultation.Among them,13 experts were selected for 2 rounds of expert demonstration meetings.After collating and analyzing the experts' opinions,the initial draft was revised and refined,ultimately resulting in the final version of the"consensus".Results The effective response rate of the consultation questionnaire was 100%,with expert authority coefficient of 0.880,judgment coefficient of 0.935,and familiarity level of 0.825.The Kendall harmony coefficient of the expert consultation was 0.134(P<0.05).The"consensus"consisted of 13 aspects,including the targets and objectives,principles,institutional guarantees,environmental requirements,etc.Conclusion This"consensus"possesses strong scientific rigor and practicality,which can provide guidance and references for the practice of humanistic care in the field of hospice care,promoting the standardization and humanization of hospice care services.
3.Graph Neural Networks and Multimodal DTI Features for Schizophrenia Classification: Insights from Brain Network Analysis and Gene Expression.
Jingjing GAO ; Heping TANG ; Zhengning WANG ; Yanling LI ; Na LUO ; Ming SONG ; Sangma XIE ; Weiyang SHI ; Hao YAN ; Lin LU ; Jun YAN ; Peng LI ; Yuqing SONG ; Jun CHEN ; Yunchun CHEN ; Huaning WANG ; Wenming LIU ; Zhigang LI ; Hua GUO ; Ping WAN ; Luxian LV ; Yongfeng YANG ; Huiling WANG ; Hongxing ZHANG ; Huawang WU ; Yuping NING ; Dai ZHANG ; Tianzi JIANG
Neuroscience Bulletin 2025;41(6):933-950
Schizophrenia (SZ) stands as a severe psychiatric disorder. This study applied diffusion tensor imaging (DTI) data in conjunction with graph neural networks to distinguish SZ patients from normal controls (NCs) and showcases the superior performance of a graph neural network integrating combined fractional anisotropy and fiber number brain network features, achieving an accuracy of 73.79% in distinguishing SZ patients from NCs. Beyond mere discrimination, our study delved deeper into the advantages of utilizing white matter brain network features for identifying SZ patients through interpretable model analysis and gene expression analysis. These analyses uncovered intricate interrelationships between brain imaging markers and genetic biomarkers, providing novel insights into the neuropathological basis of SZ. In summary, our findings underscore the potential of graph neural networks applied to multimodal DTI data for enhancing SZ detection through an integrated analysis of neuroimaging and genetic features.
Humans
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Schizophrenia/pathology*
;
Diffusion Tensor Imaging/methods*
;
Male
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Female
;
Adult
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Brain/metabolism*
;
Young Adult
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Middle Aged
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White Matter/pathology*
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Gene Expression
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Nerve Net/diagnostic imaging*
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Graph Neural Networks
4.Determination of six psychotropic drug metabolites in human plasma by LC-MS/MS method
Yixuan CUI ; Huiling LI ; Yan YU ; Jing MA ; Bo ZHOU ; Fang DONG
Chinese Journal of Industrial Hygiene and Occupational Diseases 2025;43(6):445-448
Objective:To establish a liquid chromatography-tandem mass spectrometry (LC-MS/MS) method for the determination of N-desalkylquetiapine, hydroxybupropion, N-desmethyl clozapine, N-desmethyl clomipramine, O-desmethyvenlafaxine and dehydro aripiprazole in human plasma.Methods:In June 2023, plasma samples were treated with methanol-acetonitrile (volume ratio of 1∶1) for protein precipitation and then detected by LC-MS/MS. It was separated by C18 column and eluted with 5 mmol/L ammonium acetate water and 5 mmol/L ammonium acetate methanol solution as mobile phase gradient. The metabolites of six psychotropic drugs were qualitatively and quantitatively by using electrospray positive ion multi-reactive ion monitoring scanning mode (MRM) .Results:The linear relationships of six psychotropic drug metabolites were good in the concentration range of 2-100 μg/L. The linear correlation coefficients were 0.9971-0.9999, the limits of quantification of the method were 0.10-6.00 μg/L, and the inter-and intra-day precision were 4.6%-9.8% and 1.5%-8.6%, with the recoveries of the spiked standards ranged from 90.0% to 106.1%.Conclusion:The LC-MS/MS method for the determination of metabolites of six psychotropic drugs in human plasma is simple, rapid and sensitive, and can be used for the qualitative and quantitative determination of metabolites in plasma samples of patients suspected of psychotropic drug poisoning.
5.Development and evaluation of the Children's Screen Interaction Quality Questionnaire for Children aged 0-4
Lifang JIN ; Yan LUO ; Chengwei SHEN ; Huiling QIN ; Kexin TU ; Lanyin JIAN ; Fan ZHANG ; Jiacai ZHANG ; Xin ZHOU ; Xiuli CHEN
Chongqing Medicine 2025;54(5):1118-1122,1127
Objective To develop the Children's Screen Interaction Quality Questionnaire(CSIQ)suit-able for measuring Chinese children aged 0 to 4 years,and to test its reliability and validity.Methods The purposive sampling method was used,and the guardians of 30 normal children aged 0 to 4 years undergoing physical examinations in the Department of Child Health Care of Guiyang Maternal and Child Health Care Hospital from February to April 2023 were selected as the interview objects.25 initial items were constructed through literature review,semi-structured interviews,and the Delphi expert consultation method.With the convenience sampling method,2 242 guardians of children aged 0 to 4 years old in the small and middle classes of 9 kindergartens in Guiyang City,Zunyi City,and Renhuai City were surveyed for item analysis,exploratory factor analysis,confirmatory factor analysis,and reliability and validity analysis.Results Exploratory factor a-nalysis extracted three factors,namely screen content interaction,reality interaction,and media interaction,with a total of 12 items.The cumulative variance explained rate of the 3-factor model was 69.829%.Confirma-tory factor analysis supported the three-factor model of CSIQ:x2/df=4.424,root mean square error of ap-proximation(RMSEA)=0.066,normed fit index(NFI)=0.955,comparative fit index(CFI)=0.965,incre-mental fit index(IFI)=0.965,Tucker-Lewis index(TLI)=0.955,goodness-of-fit index(GFI)=0.955,and the CSIQ had good convergent validity and discriminant validity.Conclusion The CSIQ has good reliability and validity.
6.Expert consensus on humanistic care for patients in hospice care
Lingling GU ; Yongyi CHEN ; Yan JIANG ; Yu CHENG ; Peng YUE ; Liqing YUE ; Wenjuan YING ; Ling YUAN ; Ying WANG ; Mingqin LUO ; Yonghong HU ; Lin WANG ; Yuanpeng REN ; Weiling LI ; Haixia LU ; Huiling LI
Chinese Journal of Nursing 2025;60(18):2181-2184
Objective The purpose of writing the"expert consensus on humanistic care for patients in hospice care"(hereinafter referred to as the"consensus")aims to standardize the practice of humanistic care in the field of hospice care,ensuring that humanistic care is integrated throughout the entire service process for hospice care patients and their families.Methods A systematic search was conducted in domestic and foreign databases for literature related to hospice care and humanistic care,including guidelines,expert consensuses,systematic reviews or Meta-analyses,and evidence summaries.High-quality evidence was evaluated,extracted,and summarized to form the initial draft of the"consensus".From June to October 2024,20 experts from the fields of hospice care,nursing humanities,and evidence-based nursing were invited to participate in 1 round of expert consultation.Among them,13 experts were selected for 2 rounds of expert demonstration meetings.After collating and analyzing the experts' opinions,the initial draft was revised and refined,ultimately resulting in the final version of the"consensus".Results The effective response rate of the consultation questionnaire was 100%,with expert authority coefficient of 0.880,judgment coefficient of 0.935,and familiarity level of 0.825.The Kendall harmony coefficient of the expert consultation was 0.134(P<0.05).The"consensus"consisted of 13 aspects,including the targets and objectives,principles,institutional guarantees,environmental requirements,etc.Conclusion This"consensus"possesses strong scientific rigor and practicality,which can provide guidance and references for the practice of humanistic care in the field of hospice care,promoting the standardization and humanization of hospice care services.
7.Construction of a machine learning prognostic prediction model based on psoas muscle index for patients with decompensated liver cirrhosis
Mingyang LUO ; Dong YAN ; Xin WANG ; Yingying WANG ; Huiling LI ; Yafei LI ; Fei GAO ; Can ZHANG ; Yanli ZENG
Chinese Journal of Hepatology 2025;33(7):667-673
Objective:To explore the effect of psoas muscle index (PMI) and construct a machine learning model to validate the 180-day prognosis in patients with decompensated liver cirrhosis.Methods:Retrospective data were collected from patients with decompensated liver cirrhosis at Henan Provincial People's Hospital from January 2022 to November 2022. The area of the psoas muscle index (PMI) at the level of the third lumbar vertebra was measured and calculated based on the abdominal X-ray computed tomography images stored in the Eastern China Hospital Information System (HIS). Patients were divided into low PMI and normal PMI groups according to the receiver operating characteristic curve. Patients clinical data and complication status were collected.The general conditions of both groups were compared using a t-test, chi-square test, and Mann-Whitney U test. The Kaplan-Meier method was applied for survival analysis. The outcome variable was 180-day mortality, and variables were selected using Cox and LASSO regression. The dataset was divided into training and testing sets in a 7∶3 ratio. Machine learning algorithms were used to build models in the training set, and model performance was validated by the test set. The model for MELD-Na score was compared with the model for End-Stage Liver Disease score. Results:A total of 298 patients with decompensated liver cirrhosis were included.The MELD scores, Child-Pugh classification, and NRS2002 scores, along with the incidence rate of complications such as ascites, hepatic encephalopathy, infections, and gastrointestinal bleeding, were significantly higher in the low PMI than the normal PMI group, with statistically significant differences ( P<0.05). The area under a receiver operating characteristic curve for the extreme gradient boosting model was higher than traditional clinical scores (MELD score 0.658, MELD_Na score 0.719) in the machine learning model. Furthermore, the application of SHAP results model indicated that PMI, hemoglobin, NRS2002 score, direct bilirubin, and blood ammonia were important factors in predicting the prognosis of patients with decompensated liver cirrhosis. Conclusion:A low PMI is closely related to poorer survival rates and the development of complication rates in patients with decompensated liver cirrhosis. The machine learning prediction model based on this construction, especially extreme gradient boosting, has favorable predictive performance, which is superior to the traditional clinical scoring system and can provide patients with the most accurate risk assessment and individualized treatment plan.
8.Efficacy and influencing factors of antiviral therapy for hepatitis B e antigen-positive chronic hepatitis B in children
Pengfei XU ; Yufeng ZHANG ; Xiaoyan WANG ; Ruiqing LIU ; Le YAN ; Nan JIA ; He SONG ; Huiling DENG
Chinese Pediatric Emergency Medicine 2025;32(6):464-469
Objective:To investigate the efficacy of antiviral therapy and influencing factors of hepatitis B surface antigen(HBsAg) negative conversion for hepatitis B e antigen(HBeAg)-positive chronic hepatitis B(CHB) in children.Methods:The clinical data of 38 children with CHB who received antiviral treatment in Children's Hospital Affiliated to Xi'an Jiaotong University from January 2019 to August 2024 were collected.All patients were treated with interferon alpha monotherapy or combined with nucleoside analogues for 48 weeks.The patients were divided into HBsAg negative group and HBsAg non-negative group according to the therapeutic results at 48 weeks.Multivariate Logistic regression were used to identify influencing factors of HBsAg negative conversion at 48 weeks.The receiver operator characteristic(ROC)curve was used to analyze the predictive value of each factor to HBsAg negative conversion.Results:The alanine aminotransferase normalization rate,hepatitis B virus DNA negative rate,HBeAg negative rate and HBsAg negative rate were 76.3%,94.7%,39.5% and 47.4%,respectively at 48 weeks.There were 18 cases in HBsAg negative group and 20 cases in HBsAg non-negative group.There were statistical significant differences in age and HBsAg decline level at 12 and 24 weeks of antiviral treatment between HBsAg negative group and HBsAg non-negative group( P<0.05).Multivariate Logistic regression analysis showed that age and HBsAg decline level at 12 and 24 weeks of antiviral treatment were independent predictors of HBsAg negative conversion at 48 weeks( OR=0.664,95% CI 0.473-0.932, P=0.018; OR=8.719,95% CI 1.920-39.604, P=0.005; OR=6.182,95% CI 2.083-18.347, P=0.001).The area under the curve of age and HBsAg decline level at 12 and 24 weeks were 0.737(95% CI 0.576-0.899, P=0.012),0.847(95% CI 0.725-0.969, P<0.001)and 0.939(95% CI 0.811-0.991, P<0.001),respectively.When the age was less than 4.625 years,the sensitivity,specificity,positive predictive value and negative predictive value of HBsAg negative conversion at 48 weeks were 83.3%,65.0%,68.2% and 81.3%,respectively.A decrease in HBsAg level of >1.07 lg IU/mL at 12 weeks of treatment had a sensitivity,specificity,positive predictive value,and negative predictive value of 72.2%,90.0%,86.7%,and 78.3%,respectively,for predicting HBsAg seroclearance at 48 weeks.A reduction in HBsAg of >1.92 lg IU/mL at 24 weeks of treatment showed a sensitivity,specificity,positive predictive value,and negative predictive value of 83.3%,90.0%,88.2%,and 85.7%,respectively,in predicting HBsAg seroclearance at 48 weeks. Conclusion:The children with CHB have a higher rate of HBsAg negative conversion after antiviral therapy at 48 weeks.Age and HBsAg decline level at 12 and 24 weeks of antiviral treatment can serve as early predictors for HBsAg negative conversion in children with CHB.
9.Effect of Zaogong Erteng decoction on endometritis and TLR4-mediated signaling pathways
Yaqiu LI ; Qingcan GUAN ; Lixin WANG ; Nan KANG ; Huiling LIU ; Feng YAN ; Jinyu ZHANG ; Xuenan WANG ; Xiaoyan PAN
Chinese Journal of Reproduction and Contraception 2025;45(3):255-266
Objective:To investigate the possible mechanism of Zaogong Erteng decoction (ZGETD) in the treatment of endometritis.Methods:Femal mice were injected 2.5 mg/mL lipopolysaccharide into uterine horn to induce endometritis model. After modelling, low-dose ZGETD, high-dose ZGETD or amoxicillin was given once a day for 7 d. The appearance of the uterus and pathological changes of uterine tissue were observed 7 d later, and the uterine index was calculated. The expression of tumor necrosis factor (TNF)-α, interleukin (IL)-1β and IL-6 in mouse uterine tissue was detected by enzyme-linked immunosorbent assay. The activity of myeloperoxidase (MPO) in mouse uterine tissue was measured by redox reaction. The active ingredients of ZGETD and the target and signal pathway of treatment of endometritis were analyzed by network pharmacology. Western blotting and qRT-PCR were used to detect the expressions of Toll-like receptor 4 (TLR4), P65, p-P65, interferon regulatory factor 3 (IRF3) and p-IRF3 proteins and chemokines CXCL5 and CXCL8 in the mouse uterus, respectively. Terminal dUTP nick end labeling detected endometrial cell apoptosis and endometrial thickness was measured. After treatment, the female rats were mated with the male rats, and the mating rate, the pregnancy rate and the number of implantation sits in the injected uterine horn on day 8 of gestation were counted. Results:Both ZGETD and amoxicillin have atherapeutic effect on endometritis, but compared with low-dose ZGETD and amoxicillin, high-dose ZGETD can significantly alleviate the edema and congestion of uterine tissue and reduce the uterine index (all P=0.001). After treatment, the uterine cavity epithelium of mice was smooth and complete, the uterine gland structure was normal, and no bleeding area and inflammatory cell aggregation were observed. Compared with amoxicillin, high-dose ZGETD significantly decreased the expression of inflammatory factors (TNF-α, IL-1β and IL-6) and MPO activity (all P<0.001). The expression of chemokines ( CXCL5 and CXCL8) was significantly reduced (all P<0.05). The signaling pathways TLR4, nuclear factor kappa-B (NF-κB) and TNF related to the treatment of endometritis by ZGETD were screened by network pharmacology, and their action targets (TLR4, NF-κB and IRF3) were verified. Quercetin, fisetin and luteolin were found to be the most active ingredients acting on these targets. High-dose ZGETD significantly inhibited the activation of TLR4/NF-κB and TLR4/IRF3 pathways ( P<0.05), decreased endometrial cell apoptosis ( P<0.05), and increased endometrial thickness ( P<0.001), mating rate ( P<0.001), pregnancy rate ( P<0.001) and implantation site number of uterine horn on the injection side of LPS after treatment ( P=0.001). Conclusion:High-dose ZGETD has a significant therapeutic effect on endometritis, which may be closely related to the down-regulation of TLR4 signaling pathway.
10.Determination of six psychotropic drug metabolites in human plasma by LC-MS/MS method
Yixuan CUI ; Huiling LI ; Yan YU ; Jing MA ; Bo ZHOU ; Fang DONG
Chinese Journal of Industrial Hygiene and Occupational Diseases 2025;43(6):445-448
Objective:To establish a liquid chromatography-tandem mass spectrometry (LC-MS/MS) method for the determination of N-desalkylquetiapine, hydroxybupropion, N-desmethyl clozapine, N-desmethyl clomipramine, O-desmethyvenlafaxine and dehydro aripiprazole in human plasma.Methods:In June 2023, plasma samples were treated with methanol-acetonitrile (volume ratio of 1∶1) for protein precipitation and then detected by LC-MS/MS. It was separated by C18 column and eluted with 5 mmol/L ammonium acetate water and 5 mmol/L ammonium acetate methanol solution as mobile phase gradient. The metabolites of six psychotropic drugs were qualitatively and quantitatively by using electrospray positive ion multi-reactive ion monitoring scanning mode (MRM) .Results:The linear relationships of six psychotropic drug metabolites were good in the concentration range of 2-100 μg/L. The linear correlation coefficients were 0.9971-0.9999, the limits of quantification of the method were 0.10-6.00 μg/L, and the inter-and intra-day precision were 4.6%-9.8% and 1.5%-8.6%, with the recoveries of the spiked standards ranged from 90.0% to 106.1%.Conclusion:The LC-MS/MS method for the determination of metabolites of six psychotropic drugs in human plasma is simple, rapid and sensitive, and can be used for the qualitative and quantitative determination of metabolites in plasma samples of patients suspected of psychotropic drug poisoning.

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