1.Characteristics of mitochondrial translational initiation factor 2 gene methylation and its association with the development of hepatocellular carcinoma
Huajie XIE ; Kai CHANG ; Yanyan WANG ; Wanlin NA ; Huan CAI ; Xia LIU ; Zhongyong JIANG ; Zonghai HU ; Yuan LIU
Journal of Clinical Hepatology 2025;41(2):284-291
ObjectiveTo investigate the characteristics of mitochondrial translational initiation factor 2 (MTIF2) gene methylation and its association with the development and progression of hepatocellular carcinoma (HCC). MethodsMethSurv and EWAS Data Hub were used to perform the standardized analysis and the cluster analysis of MTIF2 methylation samples, including survival curve analysis, methylation signature analysis, the association of tumor signaling pathways, and a comparative analysis based on pan-cancer database. The independent-samples t test was used for comparison between two groups; a one-way analysis of variance was used for comparison between multiple groups, and the least significant difference t-test was used for further comparison between two groups. The Cox proportional hazards model was used to perform the univariate and multivariate survival analyses of methylation level at the CpG site. The Kaplan-Meier method was used to investigate the survival differences between the patients with low methylation level and those with high methylation level, and the Log-likelihood ratio method was used for survival difference analysis. ResultsGlobal clustering of MTIF2 methylation showed that there was no significant difference in MTIF2 gene methylation level between different races, ethnicities, BMI levels, and ages. The Kaplan-Meier survival curve analysis showed that the patients with N-Shore hypermethylation of the MTIF2 gene had a significantly better prognosis than those with hypomethylation (hazard ratio [HR]=0.492, P<0.001), while there was no significant difference in survival rate between the patients with different CpG island and S-Shore methylation levels (P>0.05). The methylation profile of the MTIF2 gene based on different ages, sexes, BMI levels, races, ethnicities, and clinical stages showed that the N-Shore and CpG island methylation levels of the MTIF2 gene decreased with the increase in age, and the Caucasian population had significantly lower N-Shore methylation levels of the MTIF2 gene than the Asian population (P<0.05); the patients with clinical stage Ⅳ had significantly lower N-Shore and CpG island methylation levels of the MTIF2 gene than those with stage Ⅰ/Ⅱ (P<0.05). Clinical validation showed that the patients with stage Ⅲ/Ⅳ HCC had a significantly lower methylation level of the MTIF2 gene than those with stage Ⅰ/Ⅱ HCC and the normal population (P<0.05). ConclusionN-Shore hypomethylation of the MTIF2 gene is a risk factor for the development and progression of HCC.
2.Protective Effect of Xuebijing on Lung Injury in Rats with Severe Acute Pancreatitis by Blocking FPRs/NLRP3 Inflammatory Pathway
Guixian ZHANG ; Dawei LIU ; Xia LI ; Xijing LI ; Pengcheng SHI ; Zhiqiao FENG ; Jun CAI ; Wenhui ZONG ; Xiumei ZHAO ; Hongbin LIU
Chinese Journal of Experimental Traditional Medical Formulae 2025;31(1):113-120
ObjectiveTo explore the therapeutic effect of Xuebijing injection (XBJ) on severe acute pancreatitis induced acute lung injury (SAP-ALI) by regulating formyl peptide receptors (FPRs)/nucleotide-binding oligomerization domain-like receptor 3 (NLRP3) inflammatory pathway. MethodsSixty rats were randomly divided into a sham group, a SAP-ALI model group, low-, medium-, and high-dose XBJ groups (4, 8, and 12 mL·kg-1), and a positive drug (BOC2, 0.2 mg·kg-1) group. For the sham group, the pancreas of rats was only gently flipped after laparotomy, and then the abdomen was closed, while for the remaining five groups, SAP-ALI rat models were established by retrograde injection of 5% sodium taurocholate (Na-Tc) via the biliopancreatic duct. XBJ and BOC2 were administered via intraperitoneal injection once daily for 3 d prior to modeling and 0.5 h after modeling. Blood was collected from the abdominal aorta 6 h after the completion of modeling, and the expression of interleukin (IL)-1β, IL-6, and tumor necrosis factor-α (TNF-α) in plasma was measured by enzyme-linked immunosorbent assay (ELISA). The amount of ascites was measured, and the dry-wet weight ratios of pancreatic and lung tissue were determined. Pancreatic and lung tissue was taken for hematoxylin-eosin (HE) staining to observe pathological changes and then scored. The protein expression levels of FPR1, FPR2, and NLRP3 in lung tissue were detected by the immunohistochemical method. Western blot was used to detect the expression of FPR1, FPR2, and NLRP3 in lung tissue. Real-time fluorescence quantitative polymerase chain reaction (Real-time PCR) was used to detect the mRNA expression of FPR1, FPR2, and NLRP3 in lung tissue. ResultsCompared with the sham group, the SAP-ALI model group showed significantly decreased dry-wet weight ratio of lung tissue (P<0.01), serious pathological changes of lung tissue, a significantly increased pathological score (P<0.01), and significantly increased protein and mRNA expression levels of FPR1, FPR2, and NLRP3 in lung tissue (P<0.01). After BOC2 intervention, the above detection indicators were significantly reversed (P<0.01). After treatment with XBJ, the groups of different XBJ doses achieved results consistent with BOC2 intervention. ConclusionXBJ can effectively improve the inflammatory response of the lungs in SAP-ALI rats and reduce damage. The mechanism may be related to inhibiting the expression of FPRs and NLRP3 in lung tissue, which thereby reduces IL-1β and simultaneously antagonize the release of inflammatory factors IL-6 and TNF-α.
3.Investigation on the mechanisms of Colquhounia Root Tablets in reversing vascular endothelial cell dysfunction of rheumatoid arthritis via modulating NOD2/SMAD3/VEGFA signaling axis
Bing-bing CAI ; Ya-wen CHEN ; Tao LI ; Yuan ZENG ; Yan-qiong ZHANG ; Na LIN ; Xia MAO ; Ya LIN
Acta Pharmaceutica Sinica 2025;60(2):397-407
Rheumatoid arthritis (RA) is a chronic autoimmune disease characterized by synovial inflammation, joint destruction, and functional impairment. Angiogenesis plays a key role in the pathological progression of RA with dysfunction of endothelial cells to promote synovial inflammation, sustain pannus formation, subsequently leading to joint damage. Colquhounia Root Tablets (CRT), a Chinese patent drug, has shown a satisfying clinical efficacy in treating RA, while the underlying mechanism by which CRT inhibits RA-associated angiogenesis remains unclear. In this study, we applied a research approach combining transcriptomic data analysis, bio-network mapping, and
4.Relationship between illness perception and fear of progression in patients with chronic obstructive pulmonary disease: the mediating role of social support
Yuhong CAI ; Ling XIAO ; Binxue XIA ; Ling ZHENG ; Hong XIONG
Sichuan Mental Health 2025;38(4):346-351
BackgroundFear of progression is one of the typical psychological consequences in patients with chronic obstructive pulmonary disease (COPD). The level of fear of progression is affected by the illness perception status, and the link between social support and fear of progression is acknowledged, whereas the mechanism underlying the three remains unclear due to the lack of empirical research evidence and needs to be further studied. ObjectiveTo explore the mediating role of social support in the relationship between illness perception and fear of progression in COPD patients, and to provide references for effectively alleviating fear in COPD patients. MethodsA total of 435 COPD patients admitted to the Department of Respiratory and Critical Care Medicine, the Affiliated Hospital of Southwest Medical University from March 9 to July 31, 2024 were selected as the study objects. The Chinese version of Fear of Progression Questionnaire-Short Form (FoP-Q-SF), Chinese version of Brief Illness Perception Questionnaire (BIPQ) and Social Support Rate Scale (SSRS) were used for the evaluation. Pearson's coefficient was calculated to assess the correlation among above scales. Model 4 of the Process macro 3.4.1 for SPSS 25.0 was used to test the mediating effect of social support on the relationship between illness perception and fear of progression, with Bootstrapping used to evaluate the significance of mediating effect. ResultsA total of 412 patients (94.71%) completed this study.BIPQ score was positively correlated with FoP-Q-SF score (r=0.238, P<0.01), and negatively correlated with SSRS score in COPD patients (r=-0.260, P<0.01). FoP-Q-SF score was negatively correlated with SSRS score (r=-0.271, P<0.01). Social support mediated the relationship between illness perception and fear of progression, with an indirect effect value of 0.025 (95% CI: 0.009~0.041), accounting for 13.02% of the total effect. ConclusionIllness perception can affect the fear of progression in COPD patients both directly and indirectly through social support. [Funded by Nursing Research Project of Sichuan Province (number, H22010)]
5.Deoxynivalenol contamination in cereals and bakery products in Shanghai and dietary exposure assessment in pregnant women
Kailin LI ; Baozhang LUO ; Renjie QI ; Hua CAI ; Xia SONG ; Jingjin YANG ; Danping QIU ; Zhenni ZHU ; Yi HE ; Hong LIU
Journal of Environmental and Occupational Medicine 2025;42(10):1170-1176
Background Deoxynivalenol (DON), a priority contaminant for food safety risk monitoring, is produced by Fusarium spp. infesting crops, and its common derivatives are 3-acetyl-DON (3A-DON) and 15-acetyl-DON (15A-DON), which have been shown to possess gastrointestinal toxicity, immunotoxicity, reproductive toxicity, and cytotoxicity. Due to the stable physicochemical properties of the DON family of toxins (DONs), they cannot be effectively removed during food processing, thus following the food chain, entering the human body, and posing health risks. Objective To understand the contamination status of DONs in commercial foods (cereals and bakery products) in Shanghai in 2022–2023, and to assess the exposure risk of DONs in pregnant women by combining their dietary consumption data. Methods Liquid chromatography tandem mass spectrometry (LC-MS/MS) was used to determine the contamination level of DONs in 1 100 food samples (cereals and baked goods) collected in 2022 and 944 samples collected in 2023 from Shanghai. The dietary monitoring data of pregnant women in Shanghai from 2016 to 2017 were adopted. The monitoring employed the food frequency questionnaire distributed among pregnant women through a combination of online telephone enquiry and offline on-site face-to-face survey to estimate their food consumption levels. An exposure assessment model was established to calculate the exposure level to DONs, and the probability distribution of the DONs exposure level in the pregnant women group in Shanghai was obtained by applying @Risk 7.5 software and simulating the calculation according to the Monte Carlo principle. With reference to the tolerable daily intake (TDI) of DONs [1.00 µg·(kg·d)−1] proposed by the Joint FAO/WHO Expert Committee on Food Additives, the risk of exposure to DONs from commercial cereals and bakery products in pregnant women in Shanghai was assessed. Results DONs were detected in cereal and bakery samples collected in 2022 and 2023 with different levels of contamination. The level of DONs in cereal foods in 2023 (mean: 36.33 µg·kg−1) decreased compared to 2022 (mean: 23.64 µg·kg−1). However, the positive rate (71.67%) and level (mean: 51.22 µg·kg−1) of DONs in bakery products increased significantly compared with 2022 (positive rate: 10.00%, mean: 24.39 µg·kg−1). The mean consumption of cereals in 783 pregnant women was 222.48 g·d−1 and the mean consumption of bakery products was 36.07 g·d−1, and there was no statistically significant difference in the intake of all types of cereals and bakery products across the early, middle, and late stages of pregnancy. The modelled intakes of DONs via commercial cereals and bakery products for pregnant women in Shanghai were calculated to be 0.20 and 0.57 µg·(kg·d)−1 in 2022 for the mean level and the 95th percentile level, respectively, and 0.16 µg·(kg·d)−1 and 0.35 µg·(kg·d)−1 in 2023, respectively. The results of the health risk assessment showed that pregnant women in Shanghai had 2.6% and 1.4% probability of exposure to DONs from cereal consumption in 2022 and 2023, respectively. Conclusion The risk of exposure of pregnant women in Shanghai to DONs via commercial cereals and bakery products is relatively low (1.4%-2.6%). However, considering the physical sensitivity of pregnant women, they should avoid consuming moldy grains and appropriately reduce intake of bakery products.
6.CDK4/6 inhibitors in the first-line treatment of HR+/HER2-advanced stage breast cancer:a rapid health technology assessment
Anna LI ; Zhengzheng XIA ; Jiali CAI ; Zhuoshi LIAN ; Jun MENG
Chinese Journal of Pharmacoepidemiology 2024;33(9):1017-1029
Objective To evaluate the efficacy,safety and economy of cyclin-dependent kinase 4/6(CDK4/6)inhibitors for the first-line treatment of hormone receptors positive(HR+),human epidermal growth factor receptor 2 negative(HER2-)advanced breast cancer(ABC)by rapid health technology assessment,and to provide evidence for clinicians and policymakers.Methods PubMed,Cochrane Library,Embase,CNKI,WanFang Data,VIP databases and the official website of health technology assessment(HTA)agency were electronically searched to collect clinical evidence and literature of CDK4/6 inhibitors in the treatment of HR+/HER2-ABC from the inception to December 31,2023.Two reviewers independently identified studies,extracted data,assessed the quality of included studies,and descriptively analyzed and summarised the results.Results A total of 33 articles were included,including 9 systematic reviews/Meta-analyses,15 pharmacoeconomic studies and 9 HTA reports.In terms of efficacy,compared with endocrine therapy alone,the addition of CDK4/6 inhibitors significantly improved progression-free survival(PFS)and overall survival(OS)in patients with HR+/HER2-ABC(P<0.05),but there was no significant difference in efficacy among palbociclib,abemaciclib and ribociclib(P>0.05).In terms of safety,more adverse events were observed in patients treated with CDK4/6 inhibitors when compared with endocrine therapy(P<0.05).There was a difference in the incidence of adverse effects between the different CDK4/6 inhibitors,with palbociclib having higher incidence of haematological adverse effects(P<0.05),and abemaciclib being more likely to cause gastrointestinal adverse reactions such as diarrhoea(P<0.05).The economic evaluation results were variable due to differences in healthcare costs,analysis perspectives,willingness-to-pay thresholds,and study duration in different countries.Conclusion CDK4/6 inhibitors have similar efficacy in the first-line treatment of HR+/HER2-ABC patients,but there are some differences in aspects such as safety and economy.
7.Machine-learning-based models assist the prediction of pulmonary embolism in autoimmune diseases: A retrospective, multicenter study
Ziwei HU ; Yangyang HU ; Shuoqi ZHANG ; Li DONG ; Xiaoqi CHEN ; Huiqin YANG ; Linchong SU ; Xiaoqiang HOU ; Xia HUANG ; Xiaolan SHEN ; Cong YE ; Wei TU ; Yu CHEN ; Yuxue CHEN ; Shaozhe CAI ; Jixin ZHONG ; Lingli DONG
Chinese Medical Journal 2024;137(15):1811-1822
Background::Pulmonary embolism (PE) is a severe and acute cardiovascular syndrome with high mortality among patients with autoimmune inflammatory rheumatic diseases (AIIRDs). Accurate prediction and timely intervention play a pivotal role in enhancing survival rates. However, there is a notable scarcity of practical early prediction and risk assessment systems of PE in patients with AIIRD.Methods::In the training cohort, 60 AIIRD with PE cases and 180 age-, gender-, and disease-matched AIIRD non-PE cases were identified from 7254 AIIRD cases in Tongji Hospital from 2014 to 2022. Univariable logistic regression (LR) and least absolute shrinkage and selection operator (LASSO) were used to select the clinical features for further training with machine learning (ML) methods, including random forest (RF), support vector machines (SVM), neural network (NN), logistic regression (LR), gradient boosted decision tree (GBDT), classification and regression trees (CART), and C5.0 models. The performances of these models were subsequently validated using a multicenter validation cohort.Results::In the training cohort, 24 and 13 clinical features were selected by univariable LR and LASSO strategies, respectively. The five ML models (RF, SVM, NN, LR, and GBDT) showed promising performances, with an area under the receiver operating characteristic (ROC) curve (AUC) of 0.962-1.000 in the training cohort and 0.969-0.999 in the validation cohort. CART and C5.0 models achieved AUCs of 0.850 and 0.932, respectively, in the training cohort. Using D-dimer as a pre-screening index, the refined C5.0 model achieved an AUC exceeding 0.948 in the training cohort and an AUC above 0.925 in the validation cohort. These results markedly outperformed the use of D-dimer levels alone.Conclusion::ML-based models are proven to be precise for predicting the onset of PE in patients with AIIRD exhibiting clinical suspicion of PE.Trial Registration::Chictr.org.cn: ChiCTR2200059599.
8.Identification of breast cancer and its molecular sub-types via Raman spectroscopy combined with machine learning algorithms
Juan LI ; Chao YANG ; Jiayi TANG ; Jingjing XIA ; Haojun LIU ; Ahmat ZULHUMAR· ; Xin’en CAI ; Maimaitijiang AYITILA·
International Journal of Biomedical Engineering 2024;47(3):219-226
Objective:To develop a simple, rapid, and convenient analysis method for the identification of breast cancer and its molecular sub-types.Methods:A laser confocal Raman spectrometer was used to collect Raman spectrograms of normal breast cells and different molecular sub-types of breast cancer cells, and assign the material origin of the Raman spectral peaks. First, Savitzky-Golay smoothing (with a window size of 9) was selected to perform smoothing and denoising on the Raman spectrogram. Subsequently, an iterative adaptive weighted penalty least squares method was employed for baseline correction, and principal component analysis was used to eliminate outliers. The recognition model of normal breast cells and breast cancer cells and the recognition model of different molecular sub-types of breast cancer cells were established by using three algorithms with different principles, including partial least squares discriminant analysis (PLS-DA), K-nearest neighbor (KNN), and support vector machine (SVM).Results:The Raman spectrogram and Raman peak shifts of normal breast cells and breast cancer cells were similar, but there were significant differences in intensity. The results of the machine learning models showed that the recognition accuracy of PLS-DA and SVM algorithms for distinguishing between normal breast cells and breast cancer cells was above 92.03% and 90.67%, respectively. The recognition accuracy of PLS-DA and SVM algorithms for different molecular sub-types of breast cancer cells was (83.66 ± 2.77)% and (90.55 ± 0.06)%, respectively.Conclusions:The combination of Raman spectroscopy and machine learning algorithms can achieve accurate identification of normal breast cells, breast cancer cells, and different molecular sub-types of breast cancer cells.
9.Comparative study on sedative and hypnotic effects of Semen Ziziphi Spinosae before and after processing
Ming CAI ; Lin-Lin CHEN ; Bo XU ; Guang-Jing XIE ; Jing XIA
Chinese Pharmacological Bulletin 2024;40(5):984-991
Aim To explore the differences in sedative and hypnotic effects of Semen Ziziphi Spinosae(SZS)before and after processing based on network pharma-cology and animal experiments.Methods The chemi-cal components and corresponding targets of SZS were collected through relevant platforms and databases,the insomnia and sleep disorder targets were retrieved,and the intersection targets of drugs and diseases were ob-tained.The protein interaction relationships were con-structed,and the Chinese medicinal herb-component-target-pathway network was drawn.Then database was used to analyze pathway enrichment.Based on the pre-dicted results,the effects of different SZS products on Kunming mice were evaluated through pentobarbital in-duced sleep test,behavioral analysis,brain tissue relat-ed gene mRNA levels,and plasma neurotransmitters.Results The target genes related to SZS and insomnia were acetylcholinesterase(ACHE),alpha-1B adrener-gic receptor(ADRA1B),solute carrier family 6(neu-rotransmitter transporter,serotonin),member 4(SLC6 A4),which might play a role through 9 related pathways and 69 biological processes such as calcium signaling pathway,salivary secretion,and so on.In vi-vo experiments found that SZS could reduce mouse ac-tivity,enhance the hypnotic effect of pentobarbital sodi-um,lower the levels of ACEE,ADRA1B,and SLC6A4 mRNA in cortex and hippocampus,and regulate the levels of acetylcholine,adrenaline,and other substances in plasma,all of which could be used in combination with raw and fried methods.The effect was proportion-al to the dosage of the drug.Conclusions SZS has sedative and hypnotic effects,and high doses of crude and parched SZS combined decoction have better effects.This effect may be caused by affecting the lev-els of neurotransmitters and their related receptors,me-diating the central nervous system.
10.Effect of DDR1 on high glucose induced endothelial dysfunction by regulating NF-κB/NLRP3 mediated pyroptosis
Wei-Chen ZHAO ; Chun-Yuan HE ; Zong-Biao ZHAO ; Feng-Sen ZHANG ; Yi-Miao XIA ; Fa-Cai WANG ; Ting-Ting LI
Chinese Pharmacological Bulletin 2024;40(12):2325-2332
Aim To investigate the effect of discoidin domain receptor 1(DDR1)on high glucose induced endothelial cell dysfunction and the underlying mecha-nism.Methods Human umbilical vein endothelial cells(HUVECs)were cultured in vitro and divided in-to the control group and high glucose induction group(HG).HUVECs were treated with 33 mmol·L-1 D-glucose for 48 hours to construct endothelial dysfunc-tion.Pyroptosis was detected using propidium iodide staining(PI);lactate dehydrogenase(LDH)and IL-1β,IL-18 levels were determined using enzyme linked immunosorbent assay(ELISA);the expression of DDR1 and NF-κB/NLRP3 signaling pathway proteins and pyroptosis related proteinses were detected using Western blot.Subsequently,the experiment was divid-ed into the control group,HG group,HG+DDR1 NC group,and HG+DDR1 siRNA group.The effect of high glucose on the proliferation and migration of HU-VECs was observed after transfection with DDR1 siR-NA for 24 hours;ELISA was used to detect the endo-thelial nitric oxide synthase(eNOS),vascular cell ad-hesion molecule-1(VCAM-1),intercellular adhesion molecule-1(ICAM-1),as well as LDH,IL-1β,IL-18 levels;PI was employed to detect pyroptosis;Western blot was applied to detect DDR1 and NF-κB/NLRP3 signaling pathway proteins and pyroptosis related pro-teins.Results Compared with the control group,HG group decreased eNOS content,increased VCAM-1 and ICAM-1 contents,decreased cell viability and migration ability,and significantly increased the expressions of DDR1,p-NF-κB,NLRP3 and pyroptosis related pro-teins.The levels of LDH,IL-1β,IL-18 and the rate of pyroptosis significantly increased(P<0.05).Com-pared with HG group,DDR1 siRNA could promote the secretion of eNOS,decrease the levels of VCAM-1,ICAM-1,LDH,IL-1β and IL-1 8,increase cell viability and migration ability,reduce the expression of p-NF-κB,NLRP3 and pyroptosis related proteins,and inhibit high glucose-induced pyroptosis of HUVECs(P<0.05).Conclusions Gene silencing DDR1 can im-prove vascular endothelial cell dysfunction induced by high glucose,and the mechanism is related to the inhi-bition of NF-κB/NLRP3 signaling pathway mediated pyroptosis.

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