1.Progress in the effects of trace elements for modulating biological functions on organisms
Shuang-qing WANG ; Nuo-ya WANG ; Ji-shan YIN ; Zhong-gao GAO
Acta Pharmaceutica Sinica 2024;59(4):811-821
Trace elements (TEs), also known as micronutrients in biology, are trace components required by the human body, accounting for 0.005% to 0.01% of body weight. Although TEs are present in small quantities in the human body, they play significant roles in cellular metabolism, enzyme activity regulation, immune function, nerve conduction, and bone health. In this review, the effects of TEs (zinc, iron, magnesium, selenium, copper, chromium, and manganese) for modulating biological functions on organisms are comprehensively analyzed and summarized. The mechanisms of various TEs in immune system, enzymatic reaction, oxidative stress, physical growth, and blood glucose regulation are deeply discussed, emphasizing the indispensable role of TEs in maintaining normal physiological functions of body. In addition, the future research directions of TEs are also prospected, including the mechanism of action, intake, metabolism, and storage of TEs at the cellular level. This review will provide useful information to further understand the biological effects and the application of TEs.
2.Preoperative prediction of HER-2 expression status in breast cancer based on MRI radiomics model
Yun ZHANG ; Hao HUANG ; Liang YIN ; Zhixuan WANG ; Siyuan LU ; Xiaoxiao WANG ; Lingling XIANG ; Qing ZHANG ; Jiulou ZHANG ; Xiuhong SHAN
Chinese Journal of Oncology 2024;46(5):428-437
Objective:This study aims to explore the predictive value of T2-weighted imaging (T2WI), apparent diffusion coefficient (ADC), and early-delayed phases enhanced magnetic resonance imaging (DCE-MRI) radiomics prediction model in determining human epidermal growth factor receptor 2 status in breast cancer.Methods:A retrospective study was conducted, involving 187 patients with confirmed breast cancer by postsurgical pathology at Zhenjiang First People's Hospital during January 2021 and May 2023. Immunohistochemistry or fluorescence in situ hybridization was used to determine the HER-2 status of these patients, with 48 cases classified as HER-2 positive and 139 cases as HER-2 negative. The training set was used to construct the prediction models and the validation set was used to verify the prediction models. Layers of T2WI, ADC, and early-delayed phase DCE-MRI images were used to delineate the volumeof interest and 960 radiomic features were extracted from each case using Pyradiomic. After screening and dimensionality reduction by intraclass correlation coefficient, Pearson correlation analysis, least absolute shrinkage, and selection operator, the radiomics labels were established. Logistic regression analysis was used to construct the T2WI radiomics model, ADC radiomics model, DCE-2 radiomics model, DCE-6 radiomics model, and the joint sequence radiomics model to predict the HER-2 expression status of breast cancer, respectively. Based on the clinical, pathological, and MRI image characteristics of patients, univariate and multivariate logistic regression analysis wasused to construct a clinicopathological MRI feature model. The radscore of every patient and the clinicopathological MRI features which were statistically significant after screening were used to construct a nomogram model. The receiver operating characteristic (ROC) curve was used to evaluate the predictive performance of each model and the decision curve analysis wasused to evaluate the clinical usefulness.Results:The T2WI, ADC, DCE-2, DCE-6, and joint sequence radiomics models, the clinicopathological MRI feature model, and the nomogram model were successfully constructed to predict the expression status of HER-2 in breast cancer. ROC analysis showed that in the training set and validation set, the areas under the curve (AUC) of the T2WI radiomics model were 0.797 and 0.760, of the ADC radiomics model were 0.776 and 0.634, of the DCE-2 radiomics model were 0.804 and 0.759, of the DCE-6 radiomics model were 0.869 and 0.798, of the combined sequence radiomics model were 0.908 and 0.847, of the clinicopathological MRI feature model were 0.703 and 0.693, and of the nomogram model were 0.938 and 0.859, respectively. In the training set, the combined sequence radiomics model outperformed the clinicopathological features model ( P<0.001). In the training and validation sets, the nomogram outperformed the clinicopathological features model ( P<0.05). In addition, the diagnostic performance of the nomogram was better than that of the four single-modality radiomics models in the training cohort ( P<0.05) and was better than that of DCE-2 and ADC models in the validation cohort ( P<0.05). Decision curve analysis indicated that the value of individualized prediction models was higher than clinical and pathological prediction models in clinical practice. The calibration curve showed that the multimodal radiomics model had a high consistency with the actual results in predicting HER-2 expression. Conclusions:T2WI, ADC and early-delayed phase DCE-MRI imaging histology models for HER-2 expression status in breast cancer are expected to provide a non-invasive virtual pathological basis for decision-making on preoperative neoadjuvant regimens in breast cancer.
3.Associations of reproductive health indicators with lung function and COPD among female community residents aged 40 years and above in Songjiang District,Shanghai
Xin YIN ; Yi-Ling WU ; Shan-Shan HOU ; Jing LI ; Wei LUO ; Min-Jun YU ; Jin-Xin ZANG ; Wei WANG ; Xu-Yan SU ; Qi ZHAO ; Yin-Feng ZHU ; Gen-Ming ZHAO ; Yong-Gen JIANG ; Qing-Wu JIANG ; Na WANG
Fudan University Journal of Medical Sciences 2024;51(6):882-889
Objective To investigate the associations of reproductive health indicators with lung function and chronic obstructive pulmonary disease(COPD)among women aged 40 years and above.Methods From Jul to Sep,2021,female subjects aged 40 years and above were randomly selected from the Shanghai Suburban Adult Cohort and Biobank for COPD screening.A questionnaire was used to obtain information on demographic characteristics and reproductive health indicators.Linear regression was used to analyze the effects of reproductive health indicators on forced vital capacity(FVC)and forced expiratory volume in the first second(FEV1).Logistic regression was also used to analyze the effects of reproductive health factors on FVC as a percentage of the predicted value(FVC%Pred)and FEV1%Pred as well as on COPD.Results A total of 1876 women aged 40 years and above were enrolled with mean age of(62.1±8.2)years old,among them,78.1%were menopausal,and 40.9%had been pregnant≥3 times.Multivariate analysis showed that FVC and FEV1 decreased in postmenopausal women,but menopause was not associated with a decrease in their percentage of predicted values.Pregnancies≥3 times was a risk factor for COPD(for 3 times,OR=4.92,95%CI:1.48-19.95,P<0.05;for≥4 times,OR=9.06,95%CI:2.32-41.57,P<0.01),while pregnancies of 2 times did not increase the risk of COPD.Conclusion In women aged 40 years and above,menopause is associated with poorer FVC and FEV1,and excessive pregnancy(≥3 times)is a risk factor for COPD.
4.Preoperative prediction of HER-2 expression status in breast cancer based on MRI radiomics model
Yun ZHANG ; Hao HUANG ; Liang YIN ; Zhixuan WANG ; Siyuan LU ; Xiaoxiao WANG ; Lingling XIANG ; Qing ZHANG ; Jiulou ZHANG ; Xiuhong SHAN
Chinese Journal of Oncology 2024;46(5):428-437
Objective:This study aims to explore the predictive value of T2-weighted imaging (T2WI), apparent diffusion coefficient (ADC), and early-delayed phases enhanced magnetic resonance imaging (DCE-MRI) radiomics prediction model in determining human epidermal growth factor receptor 2 status in breast cancer.Methods:A retrospective study was conducted, involving 187 patients with confirmed breast cancer by postsurgical pathology at Zhenjiang First People's Hospital during January 2021 and May 2023. Immunohistochemistry or fluorescence in situ hybridization was used to determine the HER-2 status of these patients, with 48 cases classified as HER-2 positive and 139 cases as HER-2 negative. The training set was used to construct the prediction models and the validation set was used to verify the prediction models. Layers of T2WI, ADC, and early-delayed phase DCE-MRI images were used to delineate the volumeof interest and 960 radiomic features were extracted from each case using Pyradiomic. After screening and dimensionality reduction by intraclass correlation coefficient, Pearson correlation analysis, least absolute shrinkage, and selection operator, the radiomics labels were established. Logistic regression analysis was used to construct the T2WI radiomics model, ADC radiomics model, DCE-2 radiomics model, DCE-6 radiomics model, and the joint sequence radiomics model to predict the HER-2 expression status of breast cancer, respectively. Based on the clinical, pathological, and MRI image characteristics of patients, univariate and multivariate logistic regression analysis wasused to construct a clinicopathological MRI feature model. The radscore of every patient and the clinicopathological MRI features which were statistically significant after screening were used to construct a nomogram model. The receiver operating characteristic (ROC) curve was used to evaluate the predictive performance of each model and the decision curve analysis wasused to evaluate the clinical usefulness.Results:The T2WI, ADC, DCE-2, DCE-6, and joint sequence radiomics models, the clinicopathological MRI feature model, and the nomogram model were successfully constructed to predict the expression status of HER-2 in breast cancer. ROC analysis showed that in the training set and validation set, the areas under the curve (AUC) of the T2WI radiomics model were 0.797 and 0.760, of the ADC radiomics model were 0.776 and 0.634, of the DCE-2 radiomics model were 0.804 and 0.759, of the DCE-6 radiomics model were 0.869 and 0.798, of the combined sequence radiomics model were 0.908 and 0.847, of the clinicopathological MRI feature model were 0.703 and 0.693, and of the nomogram model were 0.938 and 0.859, respectively. In the training set, the combined sequence radiomics model outperformed the clinicopathological features model ( P<0.001). In the training and validation sets, the nomogram outperformed the clinicopathological features model ( P<0.05). In addition, the diagnostic performance of the nomogram was better than that of the four single-modality radiomics models in the training cohort ( P<0.05) and was better than that of DCE-2 and ADC models in the validation cohort ( P<0.05). Decision curve analysis indicated that the value of individualized prediction models was higher than clinical and pathological prediction models in clinical practice. The calibration curve showed that the multimodal radiomics model had a high consistency with the actual results in predicting HER-2 expression. Conclusions:T2WI, ADC and early-delayed phase DCE-MRI imaging histology models for HER-2 expression status in breast cancer are expected to provide a non-invasive virtual pathological basis for decision-making on preoperative neoadjuvant regimens in breast cancer.
5.Effect of LAG3 molecule on B lymphocyte subsets and its function in the liver of mice infected with Echinococcus multilocularis
Xu-Ran ZHENG ; Bing-Qing DENG ; Xue-Jiao KANG ; Yin-Shi LI ; Ainiwaer ABIDAN ; Qian YU ; Rousu ZIBIGU ; Duolikun ADILAI ; Mao-Lin WANG ; Hui WANG ; Chuan-Shan ZHANG ; Jing LI
Chinese Journal of Zoonoses 2024;40(6):529-536
This study was aimed at investigating the effect of lymphocyte activation gene-3(LAG3)on liver B lymphocyte subsets and their functions in WT and LAG3-KO mice infected with Echinococcus multilocularis(E.multilocularis).In a mouse model of E.multilocularis infection,the expression and localization of CD19 and α-SMA in liver were detected by immu nohistochemistry.CD80,CD86 and MHC-Ⅱ molecules expressed on B cells and their subsets in mice liver were detected by flow cytometry.After 12 weeks of infection,the area and percentage of CD19 in LAG3-KO group was slightly higher than that in WT group,but the difference was not statistically(t=-1.241、-1.237,P>0.05).The area and percentage of a-SMA in LAG3-KO group was higher than that in WT group(t=-3.224、-3.227,P<0.05).The proportion of CD80 and MHC-Ⅱ molecules expressed on liver B cells in LAG3-KO group was up-regulated(t=-2.379,-3.321,P<0.05).The percentage of liver B2 cells in LAG3-KO group was higher than that in WT group(t=-2.695,P<0.05).The expression of CD80 on Blb cells in LAG3-KO group was significantly up-regulated(t=-5.315,P<0.001).The proportion of CD80 of B2 cells in LAG3-KO group was lower than that in WT group(t=2.806,P<0.05).The expression of MHC-Ⅱ molecule in B2 cells in LAG3-KO group was up-regulated(t=-4.227,P<0.01).It is suggested that LAG3 molecules affected the B cell subsets and func-tion of mouse liver in the middle stage of E.multilocularis infection,especially B2 lymphocytes.LAG3 molecule exerted an in-hibitory effect on the activation of B cells and the expression of MHC-class Ⅱ molecules,suggesting that it may be involved in B cell exhaustion caused by E.multilocularis.
6.Prolonging dual antiplatelet therapy improves the long-term prognosis in patients with diabetes mellitus undergoing complex percutaneous coronary intervention.
Jing-Jing XU ; Si-Da JIA ; Pei ZHU ; Ying SONG ; De-Shan YUAN ; Xue-Yan ZHAO ; Yi YAO ; Lin JIANG ; Jian-Xin LI ; Yin ZHANG ; Lei SONG ; Run-Lin GAO ; Ya-Ling HAN ; Jin-Qing YUAN
Journal of Geriatric Cardiology 2023;20(8):586-595
OBJECTIVE:
To investigate the optimal duration of dual antiplatelet therapy (DAPT) in patients with diabetes mellitus (DM) requiring complex percutaneous coronary intervention (PCI).
METHODS:
A total of 2403 patients with DM who underwent complex PCI from January to December 2013 were consecutively enrolled in this observational cohort study and divided according to DAPT duration into a standard group (11-13 months, n = 689) and two prolonged groups (13-24 months, n = 1133; > 24 months, n = 581).
RESULTS:
Baseline characteristics, angiographic findings, and complexity of PCI were comparable regardless of DAPT duration. The incidence of major adverse cardiac and cerebrovascular event was lower when DAPT was 13-24 months than when it was 11-13 months or > 24 months (4.6% vs. 8.1% vs. 6.0%, P = 0.008), as was the incidence of all-cause death (1.9% vs. 4.6% vs. 2.2%, P = 0.002) and cardiac death (1.0% vs. 3.0% vs. 1.2%, P = 0.002). After adjustment for confounders, DAPT for 13-24 months was associated with a lower risk of major adverse cardiac and cerebrovascular event [hazard ratio (HR) = 0.544, 95% CI: 0.373-0.795] and all-cause death (HR = 0.605, 95% CI: 0.387-0.944). DAPT for > 24 months was associated with a lower risk of all-cause death (HR = 0.681, 95% CI: 0.493-0.942) and cardiac death (HR = 0.620, 95% CI: 0.403-0.952). The risk of major bleeding was not increased by prolonging DAPT to 13-24 months (HR = 1.356, 95% CI: 0.766-2.401) or > 24 months (HR = 0.967, 95% CI: 0.682-1.371).
CONCLUSIONS
For patients with DM undergoing complex PCI, prolonging DAPT might improve the long-term prognosis by reducing the risk of adverse ischemic events without increasing the bleeding risk.
7.Association between sedentary behavior and force expiratory volume in 1 second reduction in middle-aged and elderly adults in communities.
Shan Shan HOU ; Yi Ling WU ; Wei LUO ; Xin YIN ; Zhong Xing SUN ; Qi ZHAO ; Gen Ming ZHAO ; Yong Gen JIANG ; Na WANG ; Qing Wu JIANG
Chinese Journal of Epidemiology 2023;44(7):1092-1098
Objective: To analyze the relationship between sedentary behavior and the force expiratory volume in 1 second (FEV1) reduction in middle-aged and elderly people in communities. Methods: The participants aged ≥40 years were randomly selected from a natural population cohort in Songjiang District, Shanghai, for pulmonary function tests and survey by using international physical activity questionnaire, a generalized additive model was used to analyze the association between sedentary behavior and FEV1 reduction in the study population and different sex-age subgroups. Results: A total of 3 121 study subjects aged ≥40 years were included. The prevalence of FEV1 reduction was 14.8%, which was higher in men than in women. There were 24.8% participants were completely sedentary. The prevalence of FEV1 reduction in women aged <60 years in complete sedentary group was 2.04 (95%CI: 1.11-3.72) times higher than that in non-complete sedentary group. In men aged <60 years, the prevalence of FEV1 reduction increased with daily sedentary time (OR=1.16, 95%CI: 1.04-1.29), and the prevalence of FEV1 reduction was also higher in those with sedentary time >5 hours/day than those with sedentary time ≤5 hours/day (OR=3.02, 95%CI: 1.28-7.16). The sensitivity analysis also found such associations. Conclusions: FEV1 reduction rate in age group <60 years was associated with sedentary behavior. Complete sedentary behavior or absence of moderate to vigorous physical activity played important roles in FEV1 reduction in women, while men were more likely to be affected by increased sedentary time, which had no association with physical activity. Reducing sedentary time to avoid complete sedentary behavior, along with increased physical activity, should be encouraged in middle-aged and elderly adults in communities to improve their pulmonary function.
Male
;
Aged
;
Middle Aged
;
Humans
;
Adult
;
Female
;
Infant
;
Sedentary Behavior
;
China/epidemiology*
;
Exercise
;
Surveys and Questionnaires
;
Prevalence
8.Research on genetic model of keratoconus
Shan-Shan YIN ; Li-Yan XU ; Kai-Li YANG ; Meng ZHU ; Qing WANG ; An-Qi CHANG ; Yi-Fan WANG ; Yi YUAN ; Sheng-Wei REN
International Eye Science 2023;23(10):1737-1740
AIM:To explore the effect of genetic factors on the pathogenesis of keratoconus and its genetic model.METHODS: Genetic epidemiological methods were used to investigate the prevalence of keratoconus in 280 first-degree relatives of 100 patients with keratoconus who attended Henan Eye Hospital between July 2020 and April 2023. The heritability was estimated by Falconer regression method. The general genetic model was calculated using Penrose method, and the genetic model was confirmed by Falconer formula, Edwards approximation formula and the projection formula of San-Duo Jiang's threshold model theory.RESULTS: The results showed that there were 16(5.714%)first-degree relatives of keratoconus probands suffering from keratoconus, and the heritability of keratoconus was(86.100±7.400)%. The S/q score calculated by the Penrose method was 35.348, which was near to 1/(q)1/2, suggesting that the genetic model of keratoconus might be polygenic inheritance. The expected prevalence in first-degree relatives of keratoconus patients by Falconer formula, Edwards approximation formula and the projection formula of San-Duo Jiang's threshold model theory were 5.900%, 7.714% and 5.700%, respectively, which showed no significant differences from the actual prevalence(5.714%), suggesting that keratoconus was a polygenetic disease.CONCLUSION:Genetic factors might play an important role in the pathogenesis of keratoconus, and keratoconus is a polygenetic disease.
9.Impact of prolonging dual antiplatelet therapy on long-term prognosis of elderly patients with coronary heart disease complicated with diabetes mellitus undergoing drug-eluting stent implantation.
Jing Jing XU ; Pei ZHU ; Ying SONG ; De Shan YUAN ; Si Da JIA ; Xue Yan ZHAO ; Yi YAO ; Lin JIANG ; Na XU ; Jian Xin LI ; Yin ZHANG ; Lei SONG ; Li Jian GAO ; Ji Lin CHEN ; Shu Bin QIAO ; Yue Jin YANG ; Bo XU ; Run Lin GAO ; Jin Qing YUAN
Chinese Journal of Cardiology 2022;50(5):450-457
Objective: To explore and compare the effect of standard or prolonged dual antiplatelet therapy (DAPT) on the long-term prognosis of elderly patients with coronary heart disease complicated with diabetes mellitus after drug-eluting stent (DES) implantation. Methods: Consecutive patients with diabetes mellitus, ≥65 years old, underwent DES implantation, and had no adverse events within 1 year after operation underwent percutaneous coronary intervention (PCI) from January to December 2013 in Fuwai Hospital were enrolled in this prospective cohort study. These patients were divided into three groups according to DAPT duration: standard DAPT duration group (11 ≤ DAPT duration≤ 13 months) and prolonged DAPT duration group (13
Aged
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Coronary Artery Disease/surgery*
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Diabetes Mellitus
;
Drug Therapy, Combination
;
Drug-Eluting Stents/adverse effects*
;
Female
;
Hemorrhage
;
Humans
;
Male
;
Myocardial Infarction/epidemiology*
;
Percutaneous Coronary Intervention
;
Platelet Aggregation Inhibitors/therapeutic use*
;
Prognosis
;
Prospective Studies
;
Stroke
;
Treatment Outcome

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