1.Research progress on immunomodulatory effects and role of bile acids and bile acid receptors in the occurrence and development of colorectal cancer
Zhijun LIU ; Lili CUI ; Fengjing XU ; Xinhua SONG ; Zhipeng WANG ; Shouhong GAO
Journal of Pharmaceutical Practice and Service 2025;43(12):583-590
Colorectal cancer is one of the most common malignant tumors, which is a great threat to human life and health. The change of bile acid homeostasis can activate their corresponding receptors to regulate the immune functions, which is closely related to the occurrence of colorectal cancer. In addition, some bile acids can directly induce colorectal cancer and play an important role in the development of colorectal cancer. In this paper, the metabolic process of bile acids in vivo and the immunomodulatory role of bile acid receptors were reviewed, and the evidence of associations between bile acids and colorectal cancer were summarized, which showed the rebalancing the bile acid levels might play a role in the prevention or treatment of colorectal cancer.
2.The joint analysis of heart health and mental health based on continual learning.
Hongxiang GAO ; Zhipeng CAI ; Jianqing LI ; Chengyu LIU
Journal of Biomedical Engineering 2025;42(1):1-8
Cardiovascular diseases and psychological disorders represent two major threats to human physical and mental health. Research on electrocardiogram (ECG) signals offers valuable opportunities to address these issues. However, existing methods are constrained by limitations in understanding ECG features and transferring knowledge across tasks. To address these challenges, this study developed a multi-resolution feature encoding network based on residual networks, which effectively extracted local morphological features and global rhythm features of ECG signals, thereby enhancing feature representation. Furthermore, a model compression-based continual learning method was proposed, enabling the structured transfer of knowledge from simpler tasks to more complex ones, resulting in improved performance in downstream tasks. The multi-resolution learning model demonstrated superior or comparable performance to state-of-the-art algorithms across five datasets, including tasks such as ECG QRS complex detection, arrhythmia classification, and emotion classification. The continual learning method achieved significant improvements over conventional training approaches in cross-domain, cross-task, and incremental data scenarios. These results highlight the potential of the proposed method for effective cross-task knowledge transfer in ECG analysis and offer a new perspective for multi-task learning using ECG signals.
Humans
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Electrocardiography/methods*
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Mental Health
;
Algorithms
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Signal Processing, Computer-Assisted
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Machine Learning
;
Arrhythmias, Cardiac/diagnosis*
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Cardiovascular Diseases
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Neural Networks, Computer
;
Mental Disorders
3.Analysis of clinical characteristics and risk factors for delayed diagnosis of tuberculosis in children
Yilin WANG ; Qi SUN ; Zhuo QIAN ; Jingyue LI ; Shiyue MEI ; Hengmiao GAO ; Junwen YANG ; Zhipeng JIN
Chinese Journal of Infection and Chemotherapy 2024;24(5):507-514
Objective To summarize the clinical characteristics of delayed diagnosis of tuberculosis in children,analyze the risk factors of delayed diagnosis,and support early diagnosis of tuberculosis in children.Methods This is a retrospective analysis based on the clinical data of tuberculosis patients admitted to the Children's Hospital Affiliated to Zhengzhou University from January 2015 to February 2023.The clinical characteristics of children were analyzed in terms of age group.According to the definition of diagnosis delay,the patients were assigned to delayed group and non-delayed group.Univariate analysis and multivariate logistic regression were used to analyze the risk factors for diagnosis delay.Results A total of 82 children with tuberculosis were included(46 cases in delayed diagnosis group and 36 cases in non-delayed diagnosis group).The rate of diagnosis delay was 56.1%.The incidence of acute miliary pulmonary tuberculosis and tuberculous meningitis was significantly higher in children ≤5 years old than that in children>5 years old(P<0.05).Diagnosis delay was associated with significantly higher prevalence of chronic fever,cough>2 weeks,growth retardation and significantly longer duration of empirical antibiotic use compared to the children without diagnosis delay(P<0.05).Univariate analysis showed that patient origin,contact history,mixed infection,tuberculosis type,molecular biological assay and severe disease were related to the delay of TB diagnosis(P<0.05).Multivariate logistic regression analysis showed that patient origin[≥3 clinic visits(OR=7.064,95%CI:1.677-29.754)],mixed infection(OR=3.812,95%CI:1.185-12.260),severe disease(OR=3.697,95%CI:1.081-12.646)]were risk factors for diagnosis delay in children.Molecular biological assay(OR=4.642,95%CI:1.318-16.345)was a protective factor.Conclusions The clinical symptoms of tuberculosis in children are atypical.Delayed diagnosis of tuberculosis is common.Multiple clinic visits,mixed infection,and severe disease are the risk factors for diagnosis delay.Tuberculosis should be taken into account for the children with chronic fever,cough and growth retardation who have failed to respond to adequate therapy with third-generation cephalosporin and carbapenems.Molecular biological assay is helpful for early diagnosis of tuberculosis in children with negative sputum smear.
4.A Deep Learning Model for Predicting the Efficacy of Neoadjuvant Chemotherapy for Ovarian Cancer Based on CT Images
Yigeng WANG ; Rui YIN ; Zhipeng GAO ; Zhaoxiang YE
Chinese Journal of Medical Imaging 2024;32(5):480-485
Purpose To use CT-arterial phase images of pre-treatment ovarian cancer patients,combined with deep learning algorithms and machine learning to build a model to predict the efficacy of neoadjuvant chemotherapy in ovarian cancer.Materials and Methods A total of 302 consecutive patients who underwent surgery and were pathologically diagnosed with ovarian cancer from March 2013 to August 2019 in Tianjin Medical University were retrospectively collected.All patients were partitioned into training and test sets according to the ratio of 7∶3.In the python environment,VGG13 model was integrated via combining deep learning network and machine learning,and features were filtered via least absolute shrinkage and selection operator algorithm to build a prediction model for classification and prediction of CT images.The area under the curve(AUC),accuracy,sensitivity,specificity,and Fl-Score were calculated,respectively.Results The AUC,accuracy,sensitivity,specificity,and Fl-Score of the model in the training set were 0.87,0.81,0.80,0.82 and 0.79,and 0.90,0.84,0.93,0.77 and 0.83 in the test set,respectively.The AUC of five-fold cross-validation were 0.86,0.88,0.88,0.90 and 0.87,respectively.Conclusion Predictive model based on CT images combined with deep learning and machine learning methods can provide a new clinical perspective for developing chemotherapy regimens for ovarian cancer.
5.Study on the Efficacy and Metagenome Sequencing of Jianpi Yang'er Ointment in Treating Anorexia Children with Spleen Deficiency in Lingnan Area
Qina YE ; Zhipeng LIANG ; Zhuoming LU ; Jing ZHANG ; Jinxiong GAO ; Xiaoyin ZOU ; Hongxuan DU ; Suihua LIN ; Jian DENG
Chinese Journal of Information on Traditional Chinese Medicine 2024;31(6):150-156
Objective To evaluate the efficacy of Jianpi Yang'er Ointment for children with anorexia of spleen deficiency type in Lingnan area;To analyze its effects on children's intestinal flora and functional information by means of metagenome sequencing.Methods Totolly 144 children with anorexia in Guangzhou Women and Children Medical Center of Guangzhou Medical University from August 2022 to January 2023 were orally treated with Jianpi Yang'er Ointment,one bag per time,twice a day,after meal,for 28 d.Visits were conducted at 0 and 28 days,respectively,to measure height and body mass,record symptoms and signs,observe adverse reactions,collect feces,and fill out the"Clinical Index Scoring Table for Children with Spleen Deficiency Type Anorexia in Lingnan Area".Clinically cured children were included in the anorexia group,with healthy children as a healthy control group(HC group),perform metagenomic analysis on feces of HC group and anorexia group 0 and 28 days of treatment.Results Compared with 0 d of treatment,there was no significant difference in the height of children(P>0.05),while there was a significant difference in body mass(P<0.05),the total syndrome score,main symptom score,and secondary symptom score decreased at 28 d of treatment(P<0.05).The efficacy index was 57.03%,and the total effective rate was 99.31%(143/144).All patients did not experience symptoms such as allergies,vomiting,or diarrhea.7 clinically cured children and 6 healthy children were included in metagenome analysis on feces.PCoA showed that the structure of intestinal flora in anorexia group with 28 d treatment(JP2 group)was more similar to that in HC group at the phylum and genus levels;at the phylum level,there was no significant difference in the distribution of intestinal flora between anorexia group with 0 d treatment(JP1)group and JP2 group and HC group.At the genus level,compared with JP1 group,the abundance of Bacteroides in JP2 group decreased,but the difference was not statistically significant(P>0.05);at the species level,both JP1 and JP2 groups were mainly composed of Phocaeicola plebeius et al.and Bifidobacterium pseudocatenatum et al.The biomarker with significant differences between the two groups was s_Phascolarctobacterium_faecium,while the HC group was mainly composed of Prevotella copri and Bifidobacterium pseudocatenatum.The functional annotation results indicated that a significant change in microbial functional genes related to carbohydrate metabolism occurred after the treatment with Jianpi Yang'er Ointment.Conclusion Jianpi Yang'er Ointment can effectively improve the clinical symptoms of children with spleen deficiency anorexia in Lingnan area,adjust the structure of intestinal flora,increase the content of key probiotics,and regulate the production of intestinal microbiota short-chain fatty acids.
6.Analysis of clinical characteristics and risk factors for delayed diagnosis of tuberculosis in children
Yilin WANG ; Qi SUN ; Zhuo QIAN ; Jingyue LI ; Shiyue MEI ; Hengmiao GAO ; Junwen YANG ; Zhipeng JIN
Chinese Journal of Infection and Chemotherapy 2024;24(5):507-514
Objective To summarize the clinical characteristics of delayed diagnosis of tuberculosis in children,analyze the risk factors of delayed diagnosis,and support early diagnosis of tuberculosis in children.Methods This is a retrospective analysis based on the clinical data of tuberculosis patients admitted to the Children's Hospital Affiliated to Zhengzhou University from January 2015 to February 2023.The clinical characteristics of children were analyzed in terms of age group.According to the definition of diagnosis delay,the patients were assigned to delayed group and non-delayed group.Univariate analysis and multivariate logistic regression were used to analyze the risk factors for diagnosis delay.Results A total of 82 children with tuberculosis were included(46 cases in delayed diagnosis group and 36 cases in non-delayed diagnosis group).The rate of diagnosis delay was 56.1%.The incidence of acute miliary pulmonary tuberculosis and tuberculous meningitis was significantly higher in children ≤5 years old than that in children>5 years old(P<0.05).Diagnosis delay was associated with significantly higher prevalence of chronic fever,cough>2 weeks,growth retardation and significantly longer duration of empirical antibiotic use compared to the children without diagnosis delay(P<0.05).Univariate analysis showed that patient origin,contact history,mixed infection,tuberculosis type,molecular biological assay and severe disease were related to the delay of TB diagnosis(P<0.05).Multivariate logistic regression analysis showed that patient origin[≥3 clinic visits(OR=7.064,95%CI:1.677-29.754)],mixed infection(OR=3.812,95%CI:1.185-12.260),severe disease(OR=3.697,95%CI:1.081-12.646)]were risk factors for diagnosis delay in children.Molecular biological assay(OR=4.642,95%CI:1.318-16.345)was a protective factor.Conclusions The clinical symptoms of tuberculosis in children are atypical.Delayed diagnosis of tuberculosis is common.Multiple clinic visits,mixed infection,and severe disease are the risk factors for diagnosis delay.Tuberculosis should be taken into account for the children with chronic fever,cough and growth retardation who have failed to respond to adequate therapy with third-generation cephalosporin and carbapenems.Molecular biological assay is helpful for early diagnosis of tuberculosis in children with negative sputum smear.
7.Analysis of clinical characteristics and risk factors for delayed diagnosis of tuberculosis in children
Yilin WANG ; Qi SUN ; Zhuo QIAN ; Jingyue LI ; Shiyue MEI ; Hengmiao GAO ; Junwen YANG ; Zhipeng JIN
Chinese Journal of Infection and Chemotherapy 2024;24(5):507-514
Objective To summarize the clinical characteristics of delayed diagnosis of tuberculosis in children,analyze the risk factors of delayed diagnosis,and support early diagnosis of tuberculosis in children.Methods This is a retrospective analysis based on the clinical data of tuberculosis patients admitted to the Children's Hospital Affiliated to Zhengzhou University from January 2015 to February 2023.The clinical characteristics of children were analyzed in terms of age group.According to the definition of diagnosis delay,the patients were assigned to delayed group and non-delayed group.Univariate analysis and multivariate logistic regression were used to analyze the risk factors for diagnosis delay.Results A total of 82 children with tuberculosis were included(46 cases in delayed diagnosis group and 36 cases in non-delayed diagnosis group).The rate of diagnosis delay was 56.1%.The incidence of acute miliary pulmonary tuberculosis and tuberculous meningitis was significantly higher in children ≤5 years old than that in children>5 years old(P<0.05).Diagnosis delay was associated with significantly higher prevalence of chronic fever,cough>2 weeks,growth retardation and significantly longer duration of empirical antibiotic use compared to the children without diagnosis delay(P<0.05).Univariate analysis showed that patient origin,contact history,mixed infection,tuberculosis type,molecular biological assay and severe disease were related to the delay of TB diagnosis(P<0.05).Multivariate logistic regression analysis showed that patient origin[≥3 clinic visits(OR=7.064,95%CI:1.677-29.754)],mixed infection(OR=3.812,95%CI:1.185-12.260),severe disease(OR=3.697,95%CI:1.081-12.646)]were risk factors for diagnosis delay in children.Molecular biological assay(OR=4.642,95%CI:1.318-16.345)was a protective factor.Conclusions The clinical symptoms of tuberculosis in children are atypical.Delayed diagnosis of tuberculosis is common.Multiple clinic visits,mixed infection,and severe disease are the risk factors for diagnosis delay.Tuberculosis should be taken into account for the children with chronic fever,cough and growth retardation who have failed to respond to adequate therapy with third-generation cephalosporin and carbapenems.Molecular biological assay is helpful for early diagnosis of tuberculosis in children with negative sputum smear.
8.Analysis of clinical characteristics and risk factors for delayed diagnosis of tuberculosis in children
Yilin WANG ; Qi SUN ; Zhuo QIAN ; Jingyue LI ; Shiyue MEI ; Hengmiao GAO ; Junwen YANG ; Zhipeng JIN
Chinese Journal of Infection and Chemotherapy 2024;24(5):507-514
Objective To summarize the clinical characteristics of delayed diagnosis of tuberculosis in children,analyze the risk factors of delayed diagnosis,and support early diagnosis of tuberculosis in children.Methods This is a retrospective analysis based on the clinical data of tuberculosis patients admitted to the Children's Hospital Affiliated to Zhengzhou University from January 2015 to February 2023.The clinical characteristics of children were analyzed in terms of age group.According to the definition of diagnosis delay,the patients were assigned to delayed group and non-delayed group.Univariate analysis and multivariate logistic regression were used to analyze the risk factors for diagnosis delay.Results A total of 82 children with tuberculosis were included(46 cases in delayed diagnosis group and 36 cases in non-delayed diagnosis group).The rate of diagnosis delay was 56.1%.The incidence of acute miliary pulmonary tuberculosis and tuberculous meningitis was significantly higher in children ≤5 years old than that in children>5 years old(P<0.05).Diagnosis delay was associated with significantly higher prevalence of chronic fever,cough>2 weeks,growth retardation and significantly longer duration of empirical antibiotic use compared to the children without diagnosis delay(P<0.05).Univariate analysis showed that patient origin,contact history,mixed infection,tuberculosis type,molecular biological assay and severe disease were related to the delay of TB diagnosis(P<0.05).Multivariate logistic regression analysis showed that patient origin[≥3 clinic visits(OR=7.064,95%CI:1.677-29.754)],mixed infection(OR=3.812,95%CI:1.185-12.260),severe disease(OR=3.697,95%CI:1.081-12.646)]were risk factors for diagnosis delay in children.Molecular biological assay(OR=4.642,95%CI:1.318-16.345)was a protective factor.Conclusions The clinical symptoms of tuberculosis in children are atypical.Delayed diagnosis of tuberculosis is common.Multiple clinic visits,mixed infection,and severe disease are the risk factors for diagnosis delay.Tuberculosis should be taken into account for the children with chronic fever,cough and growth retardation who have failed to respond to adequate therapy with third-generation cephalosporin and carbapenems.Molecular biological assay is helpful for early diagnosis of tuberculosis in children with negative sputum smear.
9.Analysis of clinical characteristics and risk factors for delayed diagnosis of tuberculosis in children
Yilin WANG ; Qi SUN ; Zhuo QIAN ; Jingyue LI ; Shiyue MEI ; Hengmiao GAO ; Junwen YANG ; Zhipeng JIN
Chinese Journal of Infection and Chemotherapy 2024;24(5):507-514
Objective To summarize the clinical characteristics of delayed diagnosis of tuberculosis in children,analyze the risk factors of delayed diagnosis,and support early diagnosis of tuberculosis in children.Methods This is a retrospective analysis based on the clinical data of tuberculosis patients admitted to the Children's Hospital Affiliated to Zhengzhou University from January 2015 to February 2023.The clinical characteristics of children were analyzed in terms of age group.According to the definition of diagnosis delay,the patients were assigned to delayed group and non-delayed group.Univariate analysis and multivariate logistic regression were used to analyze the risk factors for diagnosis delay.Results A total of 82 children with tuberculosis were included(46 cases in delayed diagnosis group and 36 cases in non-delayed diagnosis group).The rate of diagnosis delay was 56.1%.The incidence of acute miliary pulmonary tuberculosis and tuberculous meningitis was significantly higher in children ≤5 years old than that in children>5 years old(P<0.05).Diagnosis delay was associated with significantly higher prevalence of chronic fever,cough>2 weeks,growth retardation and significantly longer duration of empirical antibiotic use compared to the children without diagnosis delay(P<0.05).Univariate analysis showed that patient origin,contact history,mixed infection,tuberculosis type,molecular biological assay and severe disease were related to the delay of TB diagnosis(P<0.05).Multivariate logistic regression analysis showed that patient origin[≥3 clinic visits(OR=7.064,95%CI:1.677-29.754)],mixed infection(OR=3.812,95%CI:1.185-12.260),severe disease(OR=3.697,95%CI:1.081-12.646)]were risk factors for diagnosis delay in children.Molecular biological assay(OR=4.642,95%CI:1.318-16.345)was a protective factor.Conclusions The clinical symptoms of tuberculosis in children are atypical.Delayed diagnosis of tuberculosis is common.Multiple clinic visits,mixed infection,and severe disease are the risk factors for diagnosis delay.Tuberculosis should be taken into account for the children with chronic fever,cough and growth retardation who have failed to respond to adequate therapy with third-generation cephalosporin and carbapenems.Molecular biological assay is helpful for early diagnosis of tuberculosis in children with negative sputum smear.
10.Analysis of clinical characteristics and risk factors for delayed diagnosis of tuberculosis in children
Yilin WANG ; Qi SUN ; Zhuo QIAN ; Jingyue LI ; Shiyue MEI ; Hengmiao GAO ; Junwen YANG ; Zhipeng JIN
Chinese Journal of Infection and Chemotherapy 2024;24(5):507-514
Objective To summarize the clinical characteristics of delayed diagnosis of tuberculosis in children,analyze the risk factors of delayed diagnosis,and support early diagnosis of tuberculosis in children.Methods This is a retrospective analysis based on the clinical data of tuberculosis patients admitted to the Children's Hospital Affiliated to Zhengzhou University from January 2015 to February 2023.The clinical characteristics of children were analyzed in terms of age group.According to the definition of diagnosis delay,the patients were assigned to delayed group and non-delayed group.Univariate analysis and multivariate logistic regression were used to analyze the risk factors for diagnosis delay.Results A total of 82 children with tuberculosis were included(46 cases in delayed diagnosis group and 36 cases in non-delayed diagnosis group).The rate of diagnosis delay was 56.1%.The incidence of acute miliary pulmonary tuberculosis and tuberculous meningitis was significantly higher in children ≤5 years old than that in children>5 years old(P<0.05).Diagnosis delay was associated with significantly higher prevalence of chronic fever,cough>2 weeks,growth retardation and significantly longer duration of empirical antibiotic use compared to the children without diagnosis delay(P<0.05).Univariate analysis showed that patient origin,contact history,mixed infection,tuberculosis type,molecular biological assay and severe disease were related to the delay of TB diagnosis(P<0.05).Multivariate logistic regression analysis showed that patient origin[≥3 clinic visits(OR=7.064,95%CI:1.677-29.754)],mixed infection(OR=3.812,95%CI:1.185-12.260),severe disease(OR=3.697,95%CI:1.081-12.646)]were risk factors for diagnosis delay in children.Molecular biological assay(OR=4.642,95%CI:1.318-16.345)was a protective factor.Conclusions The clinical symptoms of tuberculosis in children are atypical.Delayed diagnosis of tuberculosis is common.Multiple clinic visits,mixed infection,and severe disease are the risk factors for diagnosis delay.Tuberculosis should be taken into account for the children with chronic fever,cough and growth retardation who have failed to respond to adequate therapy with third-generation cephalosporin and carbapenems.Molecular biological assay is helpful for early diagnosis of tuberculosis in children with negative sputum smear.

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