1.Optimizing blood-brain barrier permeability in KRAS inhibitors:A structure-constrained molecular generation approach
Xia SHENG ; Yike GUI ; Jie YU ; Yitian WANG ; Zhenghao LI ; Xiaoya ZHANG ; Yuxin XING ; Yuqing WANG ; Zhaojun LI ; Mingyue ZHENG ; Liquan YANG ; Xutong LI
Journal of Pharmaceutical Analysis 2025;15(8):1848-1859
Kirsten rat sarcoma viral oncogene homolog(KRAS)protein inhibitors are a promising class of thera-peutics,but research on molecules that effectively penetrate the blood-brain barrier(BBB)remains limited,which is crucial for treating central nervous system(CNS)malignancies.Although molecular generation models have recently advanced drug discovery,they often overlook the complexity of bio-logical and chemical factors,leaving room for improvement.In this study,we present a structure-constrained molecular generation workflow designed to optimize lead compounds for both drug effi-cacy and drug absorption properties.Our approach utilizes a variational autoencoder(VAE)generative model integrated with reinforcement learning for multi-objective optimization.This method specifically aims to enhance BBB permeability(BBBp)while maintaining high-affinity substructures of KRAS in-hibitors.To support this,we incorporate a specialized KRAS BBB predictor based on active learning and an affinity predictor employing comparative learning models.Additionally,we introduce two novel metrics,the knowledge-integrated reproduction score(KIRS)and the composite diversity score(CDS),to assess structural performance and biological relevance.Retrospective validation with KRAS inhibitors,AMG510 and MRTX849,demonstrates the framework's effectiveness in optimizing BBBp and highlights its potential for real-world drug development applications.This study provides a robust framework for accelerating the structural enhancement of lead compounds,advancing the drug development process across diverse targets.
2.HFA-ICOS score in predicting cancer therapy-related cardiac dysfunction among breast cancer and lymphoma patients
Chang SHAN ; Mingyue JU ; Mei YANG ; Yanli ZHANG ; Xinxin ZHANG ; Xuefu CHEN ; Jia LI ; Fengqi FANG ; Xiuli SUN ; Yunlong XIA ; Ying LIU
Chinese Journal of Cardiology 2025;53(8):882-890
Objective:To explore the predictive efficacy of the HFA-ICOS score for cancer therapy-related cardiac dysfunction (CTRCD) in Chinese patients with breast cancer and lymphoma.Methods:This study was a single-center retrospective cohort study which included patients with breast cancer and lymphoma who were treated with anthracyclines from February 2018 to February 2025 at the First Affiliated Hospital of Dalian Medical University. Patients were evaluated at baseline with cardiac biomarkers and echocardiography, including left ventricular ejection fraction and global longitudinal strain of the left ventricle. After anthracycline therapy, they were followed up at 1, 3, 6, and 12 months. Data involved biomarkers and echocardiography were collected to determine whether CTRCD had occurred. The patients were categorized into low-risk, intermediate-risk, high-risk, and very-high-risk groups using the HFA-ICOS scoring model. The cumulative probability of CTRCD under different HFA-ICOS risk stratification was analyzed using Kaplan-Meier survival curves. The effect of HFA-ICOS risk stratification on CTRCD was assessed using an univariate Cox proportional hazards regression model. The predictive efficacy of the HFA-ICOS model and its utility in clinical decision-making were assessed with receiver operating characteristic (ROC) curves, calibration curves, and decision curves at each time point.Results:A total of 286 patients, aged 55 (44, 61) years, were enrolled, of whom 33 (11.5%) cases were male. And 113 (39.5%) patients developed CTRCD during a median follow-up time of 111 (70, 210) days. HFA-ICOS risk stratification showed that 228 (79.7%) were low-risk, 49 (17.1%) were intermediate-risk, and a total of 9 (3.1%) were high-risk and very high-risk. The difference in the occurrence of CTRCD over time between patients with different HFA-ICOS risk stratification was statistically significant ( Plog-rank<0.001). Cox proportional regression hazards analysis showed an increased risk of CTRCD development in intermediate-risk ( HR=1.95, 95% CI 1.22-3.00, P=0.006) and high-risk and very high-risk patients ( HR=4.12, 95% CI 1.66-8.54, P=0.004) compared with low-risk patients. The ROC curves showed that the area under the curve of the HFA-ICOS model predicting CTRCD was 0.532, 0.597, 0.600 and 0.577 at 1, 3, 6 and 12 months, respectively. The calibration curves indicated Brier scores of 0.041 (95% CI 0.013-0.067), 0.144 (95% CI 0.115-0.173), 0.232 (95% CI 0.215-0.249) and 0.236 (95% CI 0.220-0.251) at 1, 3, 6 and 12 months, correspondingly. The clinical decision curve suggested that clinical intervention may have a net benefit when the risk threshold is between 0.15 and 0.18 at 1 month, between 0.10 and 0.50 at 3 months, and between 0.30 and 0.70 at 6 and 12 months. Conclusion:The HFA-ICOS score could predict the occurrence of CTRCD in patients with breast cancer and lymphoma treated with anthracycline drugs, although its predictive efficacy is limited, and the prediction model requires further validation in a larger population.
3.Optimizing blood-brain barrier permeability in KRAS inhibitors: A structure-constrained molecular generation approach.
Xia SHENG ; Yike GUI ; Jie YU ; Yitian WANG ; Zhenghao LI ; Xiaoya ZHANG ; Yuxin XING ; Yuqing WANG ; Zhaojun LI ; Mingyue ZHENG ; Liquan YANG ; Xutong LI
Journal of Pharmaceutical Analysis 2025;15(8):101337-101337
Kirsten rat sarcoma viral oncogene homolog (KRAS) protein inhibitors are a promising class of therapeutics, but research on molecules that effectively penetrate the blood-brain barrier (BBB) remains limited, which is crucial for treating central nervous system (CNS) malignancies. Although molecular generation models have recently advanced drug discovery, they often overlook the complexity of biological and chemical factors, leaving room for improvement. In this study, we present a structure-constrained molecular generation workflow designed to optimize lead compounds for both drug efficacy and drug absorption properties. Our approach utilizes a variational autoencoder (VAE) generative model integrated with reinforcement learning for multi-objective optimization. This method specifically aims to enhance BBB permeability (BBBp) while maintaining high-affinity substructures of KRAS inhibitors. To support this, we incorporate a specialized KRAS BBB predictor based on active learning and an affinity predictor employing comparative learning models. Additionally, we introduce two novel metrics, the knowledge-integrated reproduction score (KIRS) and the composite diversity score (CDS), to assess structural performance and biological relevance. Retrospective validation with KRAS inhibitors, AMG510 and MRTX849, demonstrates the framework's effectiveness in optimizing BBBp and highlights its potential for real-world drug development applications. This study provides a robust framework for accelerating the structural enhancement of lead compounds, advancing the drug development process across diverse targets.
4.HFA-ICOS score in predicting cancer therapy-related cardiac dysfunction among breast cancer and lymphoma patients
Chang SHAN ; Mingyue JU ; Mei YANG ; Yanli ZHANG ; Xinxin ZHANG ; Xuefu CHEN ; Jia LI ; Fengqi FANG ; Xiuli SUN ; Yunlong XIA ; Ying LIU
Chinese Journal of Cardiology 2025;53(8):882-890
Objective:To explore the predictive efficacy of the HFA-ICOS score for cancer therapy-related cardiac dysfunction (CTRCD) in Chinese patients with breast cancer and lymphoma.Methods:This study was a single-center retrospective cohort study which included patients with breast cancer and lymphoma who were treated with anthracyclines from February 2018 to February 2025 at the First Affiliated Hospital of Dalian Medical University. Patients were evaluated at baseline with cardiac biomarkers and echocardiography, including left ventricular ejection fraction and global longitudinal strain of the left ventricle. After anthracycline therapy, they were followed up at 1, 3, 6, and 12 months. Data involved biomarkers and echocardiography were collected to determine whether CTRCD had occurred. The patients were categorized into low-risk, intermediate-risk, high-risk, and very-high-risk groups using the HFA-ICOS scoring model. The cumulative probability of CTRCD under different HFA-ICOS risk stratification was analyzed using Kaplan-Meier survival curves. The effect of HFA-ICOS risk stratification on CTRCD was assessed using an univariate Cox proportional hazards regression model. The predictive efficacy of the HFA-ICOS model and its utility in clinical decision-making were assessed with receiver operating characteristic (ROC) curves, calibration curves, and decision curves at each time point.Results:A total of 286 patients, aged 55 (44, 61) years, were enrolled, of whom 33 (11.5%) cases were male. And 113 (39.5%) patients developed CTRCD during a median follow-up time of 111 (70, 210) days. HFA-ICOS risk stratification showed that 228 (79.7%) were low-risk, 49 (17.1%) were intermediate-risk, and a total of 9 (3.1%) were high-risk and very high-risk. The difference in the occurrence of CTRCD over time between patients with different HFA-ICOS risk stratification was statistically significant ( Plog-rank<0.001). Cox proportional regression hazards analysis showed an increased risk of CTRCD development in intermediate-risk ( HR=1.95, 95% CI 1.22-3.00, P=0.006) and high-risk and very high-risk patients ( HR=4.12, 95% CI 1.66-8.54, P=0.004) compared with low-risk patients. The ROC curves showed that the area under the curve of the HFA-ICOS model predicting CTRCD was 0.532, 0.597, 0.600 and 0.577 at 1, 3, 6 and 12 months, respectively. The calibration curves indicated Brier scores of 0.041 (95% CI 0.013-0.067), 0.144 (95% CI 0.115-0.173), 0.232 (95% CI 0.215-0.249) and 0.236 (95% CI 0.220-0.251) at 1, 3, 6 and 12 months, correspondingly. The clinical decision curve suggested that clinical intervention may have a net benefit when the risk threshold is between 0.15 and 0.18 at 1 month, between 0.10 and 0.50 at 3 months, and between 0.30 and 0.70 at 6 and 12 months. Conclusion:The HFA-ICOS score could predict the occurrence of CTRCD in patients with breast cancer and lymphoma treated with anthracycline drugs, although its predictive efficacy is limited, and the prediction model requires further validation in a larger population.
5.Confidential unit exclusion in Guangzhou from 2009 to 2022
Mingyue LIANG ; Hong LUO ; Boquan HUANG ; Bo HE ; Xiaoguang CHEN ; Xiaobin HUANG ; Xia RONG ; Weidong ZHANG
Chinese Journal of Blood Transfusion 2024;37(1):80-83
【Objective】 To investigate the condition of confidential unit exclusion(CUE) in Guangzhou, so as to ensure blood safety. 【Methods】 The number of CUE donors, demographic characteristics of CUE donors, reasons for CUE, and response time of CUE after blood donation in Guangzhou from 2009 to 2022 were statistically analyzed. 【Results】 From 2009 to 2022, the response ratios of CUE was 0.006 2% (260/4 170 984) and the ratios had statistically significant difference between different years(P<0.05). For the response ratios of CUE, no statistically significant difference was noticed in gender and occupation (P>0.05), but statistically significant differences were found in age, number of blood donations, education background, and marital status (P<0.05). Blood donors aged 18~30 (0.007 3%, P<0.05) and first-time blood donors (0.010 8%, P<0.05) were the main groups of CUE. High risk sexual behavior (28.46%, 74/260) was the primary reason for CUE. The CUE response peak was within 72 hours after blood donation, and the response ratios within 24-72 hours after blood donation was the highest (68.46%, 178/260). 【Conclusion】 CUE is a crucial measure to ensure blood safety. Detailed pre-donation health consultations are suggested for blood donors aged 18-30 and first-time blood donors so as to better excluding high-risk blood donors. Strengthening the publicity of CUE response and process, registering and classifying the reasons for CUE are also important.
6.Design, synthesis and biological evaluation of pyrazolo3,4-
Xiaowei WU ; Mengdi DAI ; Rongrong CUI ; Yulan WANG ; Chunpu LI ; Xia PENG ; Jihui ZHAO ; Bao WANG ; Yang DAI ; Dan FENG ; Tianbiao YANG ; Hualiang JIANG ; Meiyu GENG ; Jing AI ; Mingyue ZHENG ; Hong LIU
Acta Pharmaceutica Sinica B 2021;11(3):781-794
Fibroblast growth factor receptors (FGFRs) have emerged as promising targets for anticancer therapy. In this study, we synthesized and evaluated the biological activity of 66 pyrazolo[3,4-
7.Etiology and epidemiology of chronic cough aged 6-14 years in children
Xiuya ZHANG ; Mingyue XIA ; Ling LIU ; Yanqi LIU ; Wei HUANG
Journal of Public Health and Preventive Medicine 2021;32(2):89-91
Objective To investigate the incidence and risk factors of chronic cough in children aged 6-14 years. Methods The incidence of chronic cough in children aged 6-14 years in Qinhuangdao city was investigated by questionnaire. Results A total of 4 000 questionnaires were distributed, 3 785 of them were effectively recovered, with the recovery rate of 94.6%. The incidence of chronic cough in children aged 6-14 was 5.1% (194/3 785). The prevalence rates of boys and girls were 5.4% (101/1 859) and 4.8% (93/1 926), respectively, with no significant difference (χ2=0.641,P=0.873). The incidence rate of children in industrial town area 6.7% (64/955) was significantly higher than that in urban area 4.4% (85/1 917) and agricultural town 4.9% (45/913) (χ2=55.082,P=0.000). The risk factors showed that chronic cough was associated with long-term allergen exposure, allergic constitution, asthma, rhinitis, reflux esophagitis and other nasopharynx diseases (χ2=17.833,43.370,194.466,27.773,101.92,11.268,P =0.000). Regression model analysis showed that asthma, rhinitis and allergen long-term exposure were independent risk factors of chronic cough (Wald=15.352,10.174,12.625,12.659,P =0.000). Conclusion The incidence rate of children in industrial town is higher in Qinhuangdao City than those in other urban areas, 6~14 years old children. Asthma, rhinitis and allergen exposure are the main causes of chronic cough.
8.Conjugated linoleic acid improves glucose and lipid metabolism in diabetic mice.
Jun XIA ; Mingyue ZHENG ; Lingjie LI ; Xufeng HOU ; Weisen ZENG
Journal of Southern Medical University 2019;39(6):740-746
OBJECTIVE:
To analyze the effect of conjugated linoleic acid (CLA) on glucose and lipid metabolism in obese diabetic (db/db) mice.
METHODS:
db/db mice were randomized for treatment with saline or CLA mixture administered intragastrically. The changes in body weight, dietary intake, water intake, oral glucose tolerance, triglyceride and total cholesterol were recorded after the treatments. HE staining and oil red O staining were used to assess liver pathologies and fatty acid content. The expression levels of PPARα, PPARγ, CD36, CHREBP and SREBP-1c were detected using real-time PCR and Western blotting. HepG2 cells were treated with CLA and linoleic acid and the expressions of PPARα, ACC, P-ACC, and CD36 were detected; the level of acetyl-CoA in the cell supernatant was detected using ELISA.
RESULTS:
CLA treatment obviously reduced the dietary and water intake of db/db mice, effectively reduced the body weight and decreased serum triglyceride and cholesterol levels ( < 0.05). CLA significantly reduced fasting blood glucose, increased glucose tolerance, reduced the accumulation of lipid droplets in the liver and improved lipid metabolism in db/db mice. The mice showed significantly increased expression of PPARα ( < 0.05) and lowered CD36 expression ( < 0.001) in the liver after CLA treatment. Cellular experiments showed that CLA significantly up-regulated PPARα ( < 0.001) and P-ACC and decreased the expression of CD36 ( < 0.01). ELISA showed that acetyl-CoA was significantly up-regulated in the cells after CLA treatment ( < 0.01).
CONCLUSIONS
The mixture of two conjugated linoleic acid isomers can reduce fasting blood glucose, increase glucose tolerance and improve glycolipid metabolism in db/db mice by enhancing the expression of PPARα, increasing P-ACC and inhibiting CD36 expression.
Animals
;
Diabetes Mellitus, Experimental
;
Glucose
;
Linoleic Acids, Conjugated
;
Lipid Metabolism
;
Liver
;
Mice
;
Triglycerides
9.Levels of cytokine and 25-hydroxyvitamin D in the blood of infants with rotavirus enteritis
Wei HUANG ; Ying SU ; Jianying SHAO ; Li SUN ; Mingyue XIA ; Mingli LI
Journal of Navy Medicine 2016;37(4):339-340
Objective To explore levels of cytokine and 25-hydroxyvitamin D in the blood of infants with rotavirus enteritis and their clinical significance.Methods Sixty-eight infants with rotavirus enteritis were recruited as the research group, while 56 healthy infants who underwent normal physical checks were assigned as the control group.Fasting venous blood samples were collected for the detection of cytokine and 25-hydroxyvitamin D levels by RP-HPLC method.Results The levels of IL-2, IL-6, TNF-αin the in-fants of the research group were significantly higher than those of the infants of the control group (P<0.01).The level of 25-hydroxyvi-tamin D of the study group was obviously lower than that of the control group (P<0.05).Conclusion The elevated levels of IL-2, IL-6, TNF-αin the infants with rotavirus enteritis were associated with the decreased level of 25-hydroxyvitamin D.
10.The role of central nervous system on hypoglycemia and the feasibility of the brain theory in traditional Chinese medicine on treatment of diabetes mellitus.
Haili JIANG ; Jingjing NIU ; Weifei ZHANG ; Wenjin HUANG ; Mingyue ZHOU ; Wenjun SHA ; Junyan LI ; Fufeng LI ; Ting ZHU ; Xin XIA ; Jun ZHANG ; Yuandong SHEN ; Ligang ZHOU
Journal of Integrative Medicine 2014;12(1):1-6
The central nervous system (CNS) plays a key regulatory role in glucose homeostasis. In particular, the brain is important in initiating and coordinating protective counterregulatory responses when blood glucose levels fall. This may due to the metabolic dependency of the CNS on glucose, and protection of food supply to the brain. In healthy subjects, blood glucose is normally maintained within a relatively narrow range. Hypoglycemia in diabetic patients can increase the risk of complications, such as heart disease and diabetic peripheral neuropathy. The clinical research finds that the use of traditional Chinese medicine (TCM) has a positive effect on the treatment of hypoglycemia. Here the authors reviewed the current understanding of sensing and counterregulatory responses to hypoglycemia, and discuss combining traditional Chinese and Western medicine and the theory of iatrogenic hypoglycemia in diabetes treatment. Furthermore, the authors clarify the feasibility of treating hypoglycemia on the basis of TCM theory and CNS and have an insight on its clinical practice.


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