1.Summary of 16-Year Observation of Reflux Esophagitis-Like Symptoms in A Natural Village in A High-Incidence Area of Esophageal Cancer
Junqing LIU ; Lingling LEI ; Yaru FU ; Xin SONG ; Jingjing WANG ; Xueke ZHAO ; Min LIU ; Zongmin FAN ; Fangzhou DAI ; Xuena HAN ; Zhuo YANG ; Kan ZHONG ; Sai YANG ; Qiang ZHANG ; Qide BAO ; Lidong WANG
Cancer Research on Prevention and Treatment 2025;52(6):461-465
Objective To investigate the screening results and factors affecting abnormal detection rates among high-risk groups of esophageal cancer and to explore effective intervention measures. Methods We investigated and collected the information on gender, education level, age, marital status, symptoms of reflux esophagitis (heartburn, acid reflux, belching, hiccup, foreign body sensation in the pharynx, and difficulty swallowing), consumption of pickled vegetables, salt use, and esophageal cancer incidence of villagers in a natural village in Wenfeng District, Anyang City, Henan Province. Changes in reflux esophagitis symptoms in the high-incidence area of esophageal cancer before and after 16 years were observed, and the relationship of such changes with esophageal cancer was analyzed. Results In 2008, 711 cases were epidemiologically investigated, including
2.Antibacterial effects of platelets on five common pathogenic bacteria: a comparative analysis
Erxiong LIU ; Wenting WANG ; Jinmei XU ; Ning AN ; Yafen WANG ; Jieyun SHI ; Lingling ZHANG ; Yaozhen CHEN ; Wen YIN
Chinese Journal of Blood Transfusion 2025;38(6):747-758
Objective: To compare and analyze the antibacterial effects of platelets against five common clinical pathogenic bacteria including MRSA, SE, SA, E. coli, and CRKP, and to preliminarily explore the role of DCD sensitivity in the observed variations of antibacterial effects. Methods: The same number of platelets were used to establish co-culture systems of platelets and platelet lysates with the five pathogenic bacteria. The antibacterial effects of platelets and platelet lysates on the five pathogenic bacteria were evaluated by observing the turbidity of the bacterial solution, measuring the OD
value of the bacterial solution and counting the colonies. The supernatant protein of platelets co-cultured with MRSA was collected for quantitative proteomics analysis to explore the important antibacterial proteins of platelets. The content of DCD in the supernatant after co-culture of platelets and platelet lysates with the five pathogenic bacteria was detected by ELISA to preliminarily analyze the reasons for the different antibacterial effects of platelets on the five pathogenic bacteria. Results: Compared with the control group of MRSA, SA, and SE, the turbidity of the bacterial solution decreased after co-culture of platelets and platelet lysates with MRSA, SA, and SE for 12 h, and the OD
value and colony count were significantly reduced (P<0.05). The turbidity of the bacterial solution did not change significantly after co-culture of platelets and platelet lysates with E. coli for 24 h, but the OD
value decreased (P<0.05), and the colony count decreased to 10
CFU/mL but the difference was not statistically significant (P>0.05). Compared with the control group of CRKP, the turbidity, OD
value, and colony count of the bacterial solution did not change significantly after co-culture of platelets and platelet lysates with CRKP (P>0.05). Proteomics results showed that after co-culture with MRSA, important proteins related to platelet activation, including collagen, fibrinogen, von Willebrand factor, integrin αIIbβ3, platelet glycoprotein V and IV were significantly up-regulated. ELISA results showed that after co-culture with the five pathogenic bacteria, platelets could secrete a large amount of DCD, with the content around 3 μg/mL. Conclusion: The antibacterial effect of platelets on Gram-positive bacteria MRSA, SA, and SE is better than that on Gram-negative bacteria E. coli and CRKP, and platelets have the best antibacterial effect on MRSA. The differences in antibacterial effects of platelets on the five pathogenic bacteria may be related to the sensitivity of DCD antibacterial peptides to the five pathogenic bacteria.
3.Prospective Study on Tooth Loss and Risk of Esophageal Cancer Among Residents of A Natural Village in Wenfeng District, Anyang City, Henan Province
Jingjing WANG ; Ruihua XU ; Yanfang ZHANG ; Xueke ZHAO ; Qiang ZHANG ; Xin SONG ; Mengxia WEI ; Junfang GUO ; Xuena HAN ; Yaru FU ; Bei LI ; Junqing LIU ; Lingling LEI ; Min LIU ; Qide BAO ; Lidong WANG
Cancer Research on Prevention and Treatment 2025;52(7):548-553
Objective To investigate the relationship between tooth loss and the occurrence of esophageal cancer in a natural village in Wenfeng District, Anyang City, Henan Province. Methods A prospective cohort study was conducted to observe the occurrence of tooth loss and esophageal cancer among the asymptomatic residents of the natural village for 16 years from January 2008 to July 2024. Data were analyzed by chi-square test, binary logistic regression, and restricted cubic spline. Results Among the total population of 711 cases, 136 cases were lost to follow-up and 575 cases were included in the final statistics, including 45 cases with esophageal cancer. Significant statistical difference was found between esophageal cancer patients with and without tooth loss (P<0.05). Logistic regression analysis showed that tooth loss was associated with the occurrence of esophageal cancer (OR=3.977, 95%CI: 1.543-10.255). After the adjustment for confounders, tooth loss
4.Effect of Mori Folium-Ginseng Radix et Rhizoma on Glucose and Lipid Metabolism and Mechanism in Mouse Model of Type 2 Diabetes Mellitus
Congyi LIU ; Ning WANG ; Jingjing XU ; Tingting WANG ; Na ZHENG ; Zimeng HUANG ; Lingling QIN ; Lili WU ; Tonghua LIU
Chinese Journal of Experimental Traditional Medical Formulae 2025;31(17):20-28
ObjectiveTo study the effect of the herb pair Mori Folium-Ginseng Radix et Rhizoma (HMG) on glucose and lipid metabolism in the mouse model of type 2 diabetes mellitus and decipher the possible treatment mechanism. MethodsThe db/db mice were chosen as the mouse model of type 2 diabetes mellitus and then treated with HMG at low and high doses (1.56, 3.12 g∙kg-1, respectively) or metformin (0.26 g∙kg-1) by gavage for 6 weeks. The normal group and the model group were treated with double distilled water at the same time according to body weight. The 8-h fasting blood glucose and body weight were measured once a week. The oral glucose tolerance test (OGTT) was conducted at the 6th week of dosing. The mice were sacrificed after the end of dosing. Serum levels of lipids [total cholesterol (TC), triglycerides (TG), high-density lipoprotein cholesterol (HDL), and low-density lipoprotein cholesterol (LDL)], liver function indicators [aspartate aminotransferase (AST) and alanine aminotransferase (ALT)], non-esterified fatty acids (NEFA), glycosylated serum protein (GSP), serum glucose (GLU), fasting insulin (FINS), and renal function indicators [creatinine (Crea) and blood urea nitrogen (BUN)] were measured by enzyme-linked immunosorbent assay. The protein levels of peroxidase proliferator-activating receptor gamma (PPARγ), acetyl coenzyme A carboxylase (ACC), and sterol regulatory element-binding protein-1 (SREBP-1) were determined by Western blot. The pathological changes in the liver and pancreas were examined. ResultsCompared with the normal group, the model group presented increased body weight, elevated levels of blood glucose, TG, TC, AST, ALT, GLU, NEFA, GSP, and HDL-C, up-regulated protein levels of ACC and SREBP-1, and down-regulated protein level of PPARγ (P<0.01). Meanwhile, the model group presented a large amount of lipid droplets and steatosis in the liver, as well as karyopyknosis and lymphocyte infiltration in the pancreas. Compared with the model group, the high- and low-dose HMG groups showed decreased body weight, declined levels of blood glucose, TG, TC, AST, ALT, GLU, NEFA, and GSP, and elevate level of HDL-C (P<0.05, P<0.01). Moreover, the two groups showcased reduced lipid droplets and steatosis in the liver, as well as enlarged islets with clear boundaries and alleviated lymphocyte infiltration and karyopyknosis. Western blot results showed that the high-dose herb pair group demonstrated down-regulated protein levels of ACC and SREBP-1 and up-regulated protein level of PPARγ (P<0.01). ConclusionThe HMG can effectively improve the glucose and lipid metabolism in db/db mice by regulating the expression of PPARγ, SREBP-1, and ACC.
5.Effect of Mori Folium-Ginseng Radix et Rhizoma on Glucose and Lipid Metabolism and Mechanism in Mouse Model of Type 2 Diabetes Mellitus
Congyi LIU ; Ning WANG ; Jingjing XU ; Tingting WANG ; Na ZHENG ; Zimeng HUANG ; Lingling QIN ; Lili WU ; Tonghua LIU
Chinese Journal of Experimental Traditional Medical Formulae 2025;31(17):20-28
ObjectiveTo study the effect of the herb pair Mori Folium-Ginseng Radix et Rhizoma (HMG) on glucose and lipid metabolism in the mouse model of type 2 diabetes mellitus and decipher the possible treatment mechanism. MethodsThe db/db mice were chosen as the mouse model of type 2 diabetes mellitus and then treated with HMG at low and high doses (1.56, 3.12 g∙kg-1, respectively) or metformin (0.26 g∙kg-1) by gavage for 6 weeks. The normal group and the model group were treated with double distilled water at the same time according to body weight. The 8-h fasting blood glucose and body weight were measured once a week. The oral glucose tolerance test (OGTT) was conducted at the 6th week of dosing. The mice were sacrificed after the end of dosing. Serum levels of lipids [total cholesterol (TC), triglycerides (TG), high-density lipoprotein cholesterol (HDL), and low-density lipoprotein cholesterol (LDL)], liver function indicators [aspartate aminotransferase (AST) and alanine aminotransferase (ALT)], non-esterified fatty acids (NEFA), glycosylated serum protein (GSP), serum glucose (GLU), fasting insulin (FINS), and renal function indicators [creatinine (Crea) and blood urea nitrogen (BUN)] were measured by enzyme-linked immunosorbent assay. The protein levels of peroxidase proliferator-activating receptor gamma (PPARγ), acetyl coenzyme A carboxylase (ACC), and sterol regulatory element-binding protein-1 (SREBP-1) were determined by Western blot. The pathological changes in the liver and pancreas were examined. ResultsCompared with the normal group, the model group presented increased body weight, elevated levels of blood glucose, TG, TC, AST, ALT, GLU, NEFA, GSP, and HDL-C, up-regulated protein levels of ACC and SREBP-1, and down-regulated protein level of PPARγ (P<0.01). Meanwhile, the model group presented a large amount of lipid droplets and steatosis in the liver, as well as karyopyknosis and lymphocyte infiltration in the pancreas. Compared with the model group, the high- and low-dose HMG groups showed decreased body weight, declined levels of blood glucose, TG, TC, AST, ALT, GLU, NEFA, and GSP, and elevate level of HDL-C (P<0.05, P<0.01). Moreover, the two groups showcased reduced lipid droplets and steatosis in the liver, as well as enlarged islets with clear boundaries and alleviated lymphocyte infiltration and karyopyknosis. Western blot results showed that the high-dose herb pair group demonstrated down-regulated protein levels of ACC and SREBP-1 and up-regulated protein level of PPARγ (P<0.01). ConclusionThe HMG can effectively improve the glucose and lipid metabolism in db/db mice by regulating the expression of PPARγ, SREBP-1, and ACC.
6.Relationship Between Gastroesophageal Reflux Disease-Related Symptoms and Clinicopathologic Characteristics and Long-Term Survival of Patients with Esophageal Adenocarcinoma in China
Kan ZHONG ; Xin SONG ; Ran WANG ; Mengxia WEI ; Xueke ZHAO ; Lei MA ; Quanxiao XU ; Jianwei KU ; Lingling LEI ; Wenli HAN ; Ruihua XU ; Jin HUANG ; Zongmin FAN ; Xuena HAN ; Wei GUO ; Xianzeng WANG ; Fuqiang QIN ; Aili LI ; Hong LUO ; Bei LI ; Lidong WANG
Cancer Research on Prevention and Treatment 2025;52(8):661-665
Objective To investigatethe relationship between gastroesophageal reflux disease (GERD) symptoms and clinicopathological characteristics, p53 expression, and survival of Chinese patients with esophageal adenocarcinoma. Methods A total of
7.Meta analysis of maternal overweight/obesity during pregnancy and offspring metabolic dysfunction associated steatotic liver disease
WU Yuying, ENKAER Nuer, WANG Youxin, WANG Mingyue, YANG Yifan, YANG Shuhan, SUN Lingling, WANG Hui
Chinese Journal of School Health 2025;46(8):1079-1083
Objective:
To evaluates the association between maternal overweight/obesity during pregnancy and offspring risk of metabolic dysfunction associated steatotic liver disease (MASLD), providing theoretical evidence for early life MASLD prevention.
Methods:
An online search was conducted across ten databases (CNKI, Wanfang, SinoMed, PubMed, Embase, Web of Science, Cochrane Library, PROSPERO, PQDT Global, ScienceDirect) for research literature on the association between maternal overweight/obesity during pregnancy and the development of MASLD in offspring, with the search period spanning from January 2014 to December 2024. Two researchers independently screened literature, extracted data, and assessed study quality. Statistical analysis was performed using R 4.3.3.
Results:
Ten studies involving 10 229 participants were included, comprising 4 cohort studies and 6 case control studies. Cohort studies showed that maternal overweight and obesity significantly increased offspring MASLD risk ( RR=1.59, 95%CI=1.06-2.39, P <0.05), with moderate heterogeneity ( I 2=56.9%, P =0.07). Case control studies indicated a positive association between maternal overweight/obesity during pregnancy and offspring risk of MASLD( OR=2.00, 95%CI=1.68-2.39, P < 0.05), with low heterogeneity ( I 2=48.8%, P =0.08).
Conclusions
Maternal overweight/obesity during pregnancy positively correlates with offspring MASLD risk. Gestational weight management may reduce the risk.
8.Construction of machine learning classification prediction model for vancomycin blood concentrations based on MIMIC-Ⅳ database
Xiaohui LIN ; Yujia WANG ; Lingling ZHANG ; Shuanglin XU
China Pharmacy 2025;36(19):2448-2453
OBJECTIVE To construct a classification prediction model for vancomycin blood concentration, and to optimize its precision dosing strategies. METHODS Patient records meeting inclusion criteria were extracted from the Medical Information Mart for Intensive Care database. Following data cleaning and preprocessing, a final cohort of 9 902 patient was analyzed. Feature selection was performed through correlation analysis and the Boruta feature selection algorithm. Vancomycin blood concentrations were discretized into three categories based on clinical therapeutic windows: low (<10 μg/mL), intermediate (10-20 μg/mL), and high (≥20 μg/mL). Six machine learning algorithms were employed to construct classification models: tabular prior-data fitted network (TabPFN), logistic regression (LR), random forest (RF), extreme gradient boosting (XGBoost), support vector machine (SVM), K-nearest neighbors (KNN). Model performance was evaluated using 10-fold cross-validation (10-CV), with primary metrics including: accuracy, balanced accuracy, precision macro, recall macro, macro F1, area under the receiver operating characteristic curve (OvR-AUC). Shapley Additive Explanations (SHAP) was adopted to analyze the direction and magnitude of the impact that different features had on the model’s predictive outcomes. RESULTS The results showed that the RF and TabPFN models performed the best (with accuracy of 0.741 4 and 0.737 7, and OvR-AUC of 0.907 0 and 0.895 8, respectively). XGBoost model exhibited moderate performance, while LR, SVM, and KNN models demonstrated relatively poor performance. Confusion matrix heatmap analysis revealed that both RF and TabPFN achieved higher accuracy in predicting high- concentration cases but exhibited slightly lower performance in the low and medium concentration categories. Bootstrap with 10-CV revealed that the RF model demonstrated stable performance across various evaluation metrics (accuracy: 0.741 4; balanced accuracy: 0.740 3; precision macro: 0.732 1; recall macro: 0.736 0; macro F1: 0.736 0; OvR-AUC: 0.907 0), indicating good classification performance and generalization ability. SHAP analysis revealed that creatinine, urea nitrogen, daily cumulative dose and administration frequency of vancomycin, which were key predictors, had a significant impact on the prediction results. CONCLUSIONS RF and TabPFN models demonstrate certain advantages in the classification prediction of vancomycin trough blood concentrations; however, their performance in the low to moderate concentration categories still requires improvement.
9.Analysis of the Correlation between Plasma Fibrinogen and Osteoporosis Defined by Quantitative Computed Tomography
Yingna CHEN ; Kan SUN ; Na LI ; Chengzhi WANG ; Chulin HUANG ; Lingling LI ; Huisheng XIAO ; Guojuan LAO
Journal of Sun Yat-sen University(Medical Sciences) 2025;46(1):147-153
ObjectiveTo clarify the associations between plasma fibrinogen (Fbg) and volumetric bone mineral density (vBMD) as well as osteoporosis measured by quantitative computed tomography (QCT), and to explore the role of plasma Fbg in early screening and diagnosis of osteoporosis. MethodsPatients with hypertension who were hospitalized in the Department of Endocrinology of Sun Yat-sen Memorial Hospital of Sun Yat-sen University from January 2018 to June 2022 and underwent QCT examinations were included for cross-sectional analysis. The study analyzed the correlation between plasma Fbg and osteoporosis in patients. The diagnostic efficacy of plasma Fbg for osteoporosis was evaluated by the area under the receiver operating characteristic (ROC) curve (AUC). ResultsTotally 441 subjects were included in the analysis, with an average age of 46.0±14.5 years and a prevalence of osteoporosis of 6.4% (28/441). As the level of plasma fibrinogen increased, the incidence of osteoporosis significantly increased (P<0.000 1)while the average bone mineral density of L1 and L2 were significantly decreased (P<0.05). Compared with the first quartile of plasma Fbg(1.99g/L -2.37g/L), the risk of osteoporosis in the fourth quartile of plasma Fbg (3.67g/L-4.46g/L) increased by 8.85 times after adjusting for related confounding factors. ConclusionThis study found a negative correlation between plasma fibrinogen levels and bone density in patients with hypertension. Plasma fibrinogen levels may serve as a potential screening indicator for osteoporosis, aiding in early diagnosis and therapeutic monitoring. This discovery offers a new perspective for the study of bone metabolic diseases and warrants further investigation.
10.Value of serum Aldo-keto reductase family 1 member B10 (AKR1B10) in diagnosis of hepatocellular carcinoma
Yunling DU ; Changjiang SHI ; Fangyuan GAO ; Mengna ZHANG ; Lingling WANG ; Zhuqing ZHANG ; Ying MING ; Shoujun XIE
Journal of Clinical Hepatology 2025;41(4):684-689
ObjectiveTo investigate the expression of serum Aldo-keto reductase family 1 member B10 (AKR1B10) in patients with hepatocellular carcinoma (HCC) in northern China, and to provide a new and valuable biomarker for the clinical diagnosis of HCC. MethodsThis study was conducted among 102 patients with HCC, 119 patients with benign liver disease, and 132 patients with other malignant tumors who attended The Affiliated Hospital of Chengde Medical University and 148 healthy individuals who underwent physical examination from May 2020 to May 2024. ELISA and chemiluminescence were used to measure the serum levels of AKR1B10 and alpha-fetoprotein (AFP). The Mann-Whitney U test was used for comparison of non-normally distributed continuous data between two groups, and the Kruskal-Wallis H test was used for comparison between three groups and further comparison between two groups; the chi-square test was used for comparison of categorical data between groups. The area under the ROC curve (AUC) was used to assess diagnostic efficiency. ResultsThe expression level of AKR1B10 was 3 053.79 (1 475.67 — 4 605.86) pg/mL in the HCC group, 1 324.42 (659.68 — 2 023.88) pg/mL in the benign liver disease group, 660.68 (377.56 — 2 087.77) pg/mL in the other malignant tumor group, and 318.30 (82.73 — 478.82) pg/mL in the healthy group, with a significant difference between the four groups (H=240.86, P<0.001), and further comparison between two groups showed that the HCC group had a significantly higher level than the other three groups (all P<0.001). The ROC curve analysis of the HCC group and the other three groups showed that serum AKR1B10 had an optimal cut-off value of 1 584.97 pg/mL in the diagnosis of HCC, with an AUC of 0.86 (95% confidence interval [CI]: 0.82 — 0.90), a sensitivity of 74.3%, and a specificity of 85.2%. Compared with each indicator alone, a combination of AKR1B10 and AFP could improve the sensitivity (81.8%) and specificity (91.4%) of HCC diagnosis. AKR1B10 had an AUC of 0.84 (95%CI: 0.78 — 0.90) in the diagnosis of patients with early- or middle-stage HCC, with a sensitivity of 76.2% and a specificity of 81.2%. AKR1B10 had an AUC of 0.85 (95%CI: 0.77 — 0.92) in the diagnosis of patients with AFP-negative HCC, with a sensitivity of 81.6% and a specificity of 79.9%. ConclusionAKR1B10 is a promising serological marker for the diagnosis of HCC, and a combination of AKR1B10 and AFP can improve the detection rate of HCC patients in northern China, especially those with early- or middle-stage HCC and AFP-negative HCC.


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