1.Screening of diagnostic markers for endothelial cell Senescence in mice with radiation-induced heart disease and analysis of immune infiltration
Jiaming LAI ; Yuling SONG ; Zixi CHEN ; Jinghuan WEI ; Hao CAI ; Guoquan LI
Chinese Journal of Tissue Engineering Research 2026;30(6):1450-1463
BACKGROUND:Radiotherapy significantly improves survival rates in patients with various malignant tumors.However,with prolonged post-treatment survival,many patients face the risk of radiation-related cardiac toxicity.This is especially true after chest radiotherapy,where the risk of radiation-induced heart disease significantly increases,becoming one of the most severe complications affecting prognosis survival.OBJECTIVE:To identify diagnostic markers of endothelial cellular senescence in radiation-induced heart disease through systematic transcriptomic analysis.METHODS:Firstly,genes associated with cellular senescence were screened from the CellAge database and intersected with the transcriptomic training dataset of a mouse model of radiation-induced heart disease to identify differentially expressed senescence-related genes.Secondly,weighted gene co-expression network analysis and machine learning were used to identify key hub genes that play critical roles in radiation-induced heart disease.The expression of these genes was validated using a dataset of radiation-induced endothelial injury.Additionally,the quanTlseq method was employed to assess the immune infiltration status related to radiation-induced heart disease.The expression levels of key genes and their association with survival in esophageal squamous cell carcinoma patients receiving chest radiotherapy were explored through the analysis of The Cancer Genome Atlas database.RESULTS AND CONCLUSION:(1)Systematic transcriptomic analysis identified CCND1 as the core gene of endothelial cellular senescence in radiation-induced heart disease,and this finding was validated in the mouse model of radiation-induced heart disease.(2)The diagnostic model constructed from these data indicated that CCND1 had high specificity and sensitivity for diagnosing radiation-induced heart disease.(3)Immune infiltration analysis revealed significant immune response dysregulation in the mouse model of radiation-induced heart disease,and CCND1 was closely related to various immune cells.(4)Kaplan-Meier survival analysis showed that CCND1 was associated with poorer disease-specific survival in esophageal squamous cell carcinoma patients receiving chest radiotherapy.This study systematically uncovers,for the first time,the pivotal role of CCND1 in endothelial cell senescence associated with radiation-induced heart disease.CCND1,a gene integral to cell cycle regulation,can induce cellular senescence when abnormally expressed.Furthermore,the findings highlight its potential as an early diagnostic marker.
2.Effects of Guilu Erxian Glue on gut microbiota in rats with knee osteoarthritis:machine learning and 16S rDNA analysis
Fucheng GU ; Meixin YANG ; Weixin WU ; Weijun CAI ; Yangyi QIN ; Mingyi SUN ; Jian SUN ; Qiudong GENG ; Nan LI
Chinese Journal of Tissue Engineering Research 2026;30(4):1058-1072
BACKGROUND:The Guilu Erxian Glue consists of Testudinis Plastrum,Cornu Cervi,Lycii Fructus,and Ginseng Radix.In earlier clinical observations,it is discovered that using Guilu Erxian Glue to treat patients with liver-kidney deficiency type knee osteoarthritis effectively alleviated knee pain,increased the range of motion,and improved walking ability.However,the exact mechanism by which oral administration of Guilu Erxian Glue can produce local therapeutic effects on the knee joint is still unclear.OBJECTIVE:To investigate the effects of Guilu Erxian Glue on gut microbiota in rats with knee osteoarthritis and to evaluate its mechanism using 16S rDNA sequencing and machine learning analysis.METHODS:Totally 18 female SD rats were randomly divided into three groups:blank group,model group,and Guilu Erxian Glue group,with 6 rats in each group.A knee osteoarthritis model was prepared using the destabilization of the medial meniscus surgical method.After successful modeling,the Guilu Erxian Glue group was given a decoction of Guilu Erxian Glue by gavage,while the blank and model groups were given an equal amount of distilled water.After 28 days of continuous intervention,high performance liquid chromatography was used to detect the active ingredients of Guilu Erxian Glue.MRI imaging was used to observe the condition of rat knee articular cartilage.Fecal samples were collected;DNA was extracted using a kit,amplified and purified by PCR,and an Illumina sequencing library was constructed.The Illumina MiSeq platform was used for high-throughput sequencing to generate raw sequence data.After obtaining the raw data,QIIME2 software was used to process the data.Linear Discriminant Analysis Effect Size analysis and random forest algorithm were used to screen for differential species in microbial data.KEGG and MetaCyc functional pathway analyses were used to explore the association between key microbial communities and experimental groups.Linear discriminant analysis effect values and random forest algorithm were used to screen for differential species.Association networks were used to analyze the interactions between microbial communities,and machine learning methods were used to analyze the composition and changes of gut microbiota.RESULTS AND CONCLUSION:(1)LC-MS component identification was conducted on the traditional Chinese medicine formula of Guilu Erxian Glue,and a total of 7 effective ingredients were identified.(2)MRI imaging showed that synovitis scope of high-density shadows in rats of the Guilu Erxian Glue group was reduced,and the degeneration of medial femoral condyle cartilage was less than that in the model group.(3)16S rDNA sequencing showed that the model group rats exhibited significant microbial imbalance,with a significant decrease in the abundance of Firmicutes and Bacteroidetes at the phylum level,while the proportion of Proteobacteria increased significantly(P<0.05).The gut microbiota structure of rats in the Guilu Erxian Glue group was significantly improved,and the proportion of Firmicutes and Bacteroidetes increased,restoring a more diverse microbiota composition,approaching that of the blank group(P<0.05).(4)KEGG and MetaCyc functional pathway analysis showed that the Guilu Erxian Glue group significantly activated multiple metabolic pathways,including amino acid metabolism,lipid metabolism,and biotin synthesis pathways(P<0.05).(5)The results indicate that Guilu Erxian Glue contains seven active ingredients,and the changes in gut microbiota of knee osteoarthritis rats were analyzed using 16S rDNA sequencing.Guilu Erxian Glue can significantly improve the imbalance of gut microbiota,restore the abundance of beneficial bacteria,and have a significant impact on the composition of gut microbiota,providing scientific basis for the efficacy and mechanism of Guilu Erxian Glue.
3.Analysis of HPV Infection Characteristics and Influencing Factors for Lesion Grade in Patients with Cervical Squamous Intraepithelial Lesion and Cervical Cancer
Jingjing HAN ; Lijie ZHANG ; Ruyu CAI ; Haili LI ; He WANG ; Le DANG ; Hongda CHEN ; Ming'e LI ; Lan ZHU
Medical Journal of Peking Union Medical College Hospital 2026;17(1):156-165
To summarize the distribution characteristics of human papillomavirus(HPV) infection types in patients with cervical squamous intraepithelial lesion(SIL) and cervical cancer(CC), and to explore the impact of HPV vaccination, HPV infection types, and general clinical data on different grades of cervical lesions. Clinical data of women attending the gynecological colposcopy clinic of Shenzhen People's Hospital from January 2020 to December 2023 were retrospectively collected. Patients with HPV genotyping records and histopathologically diagnosed SIL or CC were included and divided into three groups based on pathological results: low-grade squamous intraepithelial lesion(LSIL) group, high-grade squamous intraepithelial lesion(HSIL) group, and CC group. The distribution of high-risk HPV subtypes was analyzed among the three groups, and multivariate Logistic regression was used to identify influencing factors for high-grade cervical lesions. A total of 4162 patients were included, comprising 4057 cervical SIL patients(3317 LSIL and 740 HSIL) and 105 CC patients. The overall mean age was(39.9±11.2) years. The HPV infection rate was 95.1%(3959/4162), and 25.0%(1040/4162) of patients had received HPV vaccination. Among high-risk HPV infections, HPV 52, HPV 16, HPV 58, and HPV 18 were the most common subtypes. HPV 52 had the highest infection rate in the LSIL group(27.6%), while HPV 16 was the most prevalent in the HSIL group(45.3%) and CC group(64.9%). Multivariate Logistic regression analysis showed that HPV vaccination( HPV infection is common in patients with SIL and CC, but the distribution of high-risk HPV subtypes varies among different grades of cervical lesions. It is recommended to strengthen cervical cancer screening and monitoring of key high-risk HPV infections in older and multiparous women in Shenzhen, and to continue promoting HPV vaccination.
4.Expert Consensus on Neurocritical Care Monitoring and Management in Beijing and Tibet(2025)
Drolma PHURBU ; Wenjin CHEN ; Heng ZHANG ; Jian ZHANG ; Xiaomeng WANG ; Guoying LIN ; Wenjun PAN ; Xiying GUI ; Xin CAI ; Chodron TENZIN ; Jianlei FU ; Qianwei LI ; TSEYANG ; Yijun LIU ; Bo LIU ; Tsering DROLMA ; Yudron SONAM ; KYILV ; Samdrup TSERING ; Wa DA ; Juan GUO ; Cheng QIU ; Huan CHEN ; Xiaoting WANG ; Yangong CHAO ; Dawei LIU ; Wenzhao CHAI ; Chenggong HU ; Wanhong YIN ; Shihong ZHU
Medical Journal of Peking Union Medical College Hospital 2026;17(1):59-72
Neurocritical care involves complex pathophysiological mechanisms, and its incidence is higher, injuries are more severe, and treatment is more challenging in high-altitude environments. This consensus, based on the latest domestic and international evidence-based medical data, establishes a standardized, goal-oriented framework for neurocritical care management applicable in high-altitude regions and nationwide. The consensus was developed following international standards for evidence quality assessment and underwent two rounds of Delphi expert consultation, resulting in 32 recommendation statements covering three parts: management systems, monitoring and assessment, and core strategies. Key updates include: advocating for the establishment of independent neurocritical care units and implementing precise tiered diagnosis and treatment based on the "Five Differences in Critical Care" concept; constructing a "trinity" multimodal brain monitoring system centered on cerebral blood flow, cerebral oxygenation, and brain function, emphasizing routine bedside transcranial Doppler ultrasound, cerebral oximetry, and continuous electroencephalography monitoring; shifting management strategies from mild hypothermia therapy to targeted temperature management, and defining the "446" target management pathway for the supercritical stage; emphasizing the assessment of static and dynamic cerebrovascular autoregulation functions through multimodal methods to achieve individualized optimal mean arterial pressure management; elevating cerebrospinal fluid management goals to the level of "glymphatic system" function maintenance; implementing a multidisciplinary collaborative, whole-process management model focusing on patients' long-term neurological functional outcomes; de-escalation criteria include multidimensional indicators such as recovery of brain structure, restoration of cerebrovascular autoregulation, improvement in cerebrospinal fluid dynamics, and reduction in biomarker levels; and integrating cutting-edge technologies like artificial intelligence into post-critical care management and rehabilitation planning. This consensus systematically integrates the entire process of neurocritical care management, reflecting the modern connotation of goal-oriented, dynamic, and multimodal integration in neurocritical care medicine. It aims to adapt to new trends such as deepening understanding of pathophysiological mechanisms, the integration of medicine and engineering, and the empowerment of artificial intelligence, thereby further advancing the discipline of critical care medicine.
5.Influencing Factors of Urate Crystal Deposition in Patients with Hyperuricemia and Prediction Model of TCM Syndrome Types-inflammatory Indicators
Jiaqi XU ; Bin AI ; Chao LIN ; Qiaoxuan LIN ; Changning LI ; Jing CAI ; Yan XIAO ; Jiemei GUO ; Youxin SU
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(7):66-73
ObjectiveTo identify potential influencing factors of urate crystal deposition at ankle/foot in patients with hyperuricemia (HUA), and to analyze the predictive value of inflammatory indicators for urate crystal deposition in patients with different traditional Chinese medicine (TCM) syndromes, so as to provide potential reference for clinical risk assessment and individualized TCM intervention. MethodsA retrospective study was carried out with the enrollment of 231 HUA patients from The Third Affiliated People's Hospital of Fujian University of Traditional Chinese Medicine between January 2021 and December 2024. The enrolled patients were further divided into a crystal deposition-positive group (143 cases) and a crystal deposition-negative group (88 cases) according to the results of dual-energy computed tomography (CT). Sociodemographic data, living habits, serum uric acid levels, and inflammatory indicators of the enrolled patients were collcted, and TCM syndrome differentiation was performed. Furthermore, univariate analysis was used to compare inter-group differences in clinical characteristics. MMultivariate Logistic regression was applied to identify the influencing factors of urate crystal deposition. In addition, the receiver operating characteristic (ROC) curves were plotted to evaluate the predictive efficacy of inflammatory indicators for crystal deposition across different TCM syndromes. ResultsThere were statistically significant inter-group differences in the proportion of males, age, body mass index, proportion of mental labor, rate of low water intake, and rate of high-sugar beverage consumption (P<0.05),whereas no significant difference in low exercise intensity was found between the two groups. Furthermore, compared with the negative group, the positive group had higher serum uric acid level, neutrophil-to-lymphocyte ratio (NLR), and platelet-to-lymphocyte ratio (PLR), but lower systemic immune-inflammation index (SIRI) (P<0.05). Regarding the distribution of TCM syndromes, the positive group was dominated by the dampness-heat accumulation syndrome (55/143,38.46%), while the negative group was mainly characterized by the phlegm-turbidity obstruction syndrome (44/88,50.00%). Multivariate Logistic regression analysis revealed that high-sugar beverage consumption, elevated NLR, and elevated PLR were risk factors for urate crystal deposition [odd ratio (OR) = 8.002, 5.377, 1.034, respectively; 95% CI 1.572-40.732, 2.179-13.270, 1.013-1.054,all P<0.05], while SIRI was a protective factor (OR = 0.869, 95% CI 0.778-0.971, P<0.05). In the positive group, patients with the dampness-heat accumulation syndrome exhibited the highest NLR, while the lowest PLR and SIRI, showing statistically significant differences with those of other syndromes (all P<0.05). In addition, ROC curve analysis indicated that for the dampness-heat accumulation syndrome, the combined "NLR + PLR" model had an area under the curve (AUC) of 0.901 (95% CI 0.850-0.951, P<0.01), with a sensitivity of 89.1% and a specificity of 79.5%; for the blood stasis-heat obstruction syndrome, the combined "NLR + PLR" model had an AUC of 0.880 (95% CI 0.825-0.934, P<0.01), with a sensitivity of 100.0% and a specificity of 67.3%; for the liver-kidney Yin-deficiency syndrome, the single PLR model had an AUC of 0.842 (95% CI 0.731-0.952, P<0.01), with a sensitivity of 83.3% and a specificity of 84.0%. ConclusionUrate crystal deposition in HUA patients exhibits intimate associations with high-sugar beverage consumption as well as elevated NLR and PLR levels. Meanwhile, TCM syndrome differentiation has potential correlation with inflammatory characteristics. The inflammatory indicator-based prediction model constructed based on TCM syndromes exhibits good predictive value.
6.Epidemiologic Burden of Colorectal Cancer in Xishan District, Kunming City, Yunnan Province, 2018—2020
Mingzhu GAO ; Ruiqi CAI ; Sile LI ; Yuying PANG ; Yanyan YANG ; Weilin ZHANG ; Min ZHAO
Cancer Research on Prevention and Treatment 2026;53(2):142-151
Objective To analyze the epidemiologic burden of colorectal cancer in Xishan District, Kunming City, Yunnan Province from 2018 to 2020. Methods Indicators of epidemiologic burden were calculated, including incidence rate, mortality rate, age-specific incidence/mortality rates, potential years of life lost (PYLL), and disability-adjusted life years (DALY) based on the National Disease Control and Prevention Center’s "Cancer Information Registration and Reporting System" and "Cause of Death Registration System". Results From 2018 to 2020, the ASR (China) for the incidence of colorectal cancer in Xishan District, Kunming City increased from 25.27/105 to 26.29/105, while the ASR (China) for mortality decreased from 17.11/105 to 16.03/105. The PYLL in 2018–2020 were
7.Mechanisms of Gegen Qinlian Tang-containing Serum in Improving 5-FU Sensitivity by Inhibiting Glycolysis in Colorectal Cancer Cells Based on CDK16/MYC Pathway
Rong CAI ; Shang WANG ; Fuqing CHENG ; Yanping ZHOU ; Zuowei HU ; Yunhai LI
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(8):1-9
ObjectiveTo explore the molecular mechanisms by which serum containing Gegen Qinlian Tang (GQT) inhibits glycolysis and enhances chemotherapy sensitivity in 5-fluorouracil (5-FU)-resistant colorectal cancer (CRC) cells based on the cyclin-dependent kinase 16 (CDK16)/MYC proto-oncogene (MYC) pathway. MethodsHCT-116/5-FU cells were treated with different concentrations (5%, 10%, 20%, 30%) of GQT-containing serum. Cell viability and 5-FU sensitivity were assessed using the cell counting kit-8 (CCK-8) assay, and the experimental concentrations of 5-FU and GQT for subsequent experiments were determined. Cell proliferation and apoptosis under individual 5-FU, GQT, and combined 5-FU + GQT treatments were evaluated using 5-ethynyl-2′-deoxyuridine (EDU) staining and annexin V-FITC/PI double staining, respectively. Glucose consumption, adenosine triphosphate (ATP) production, and lactate levels were measured by colorimetric assays. Expression levels of glycolysis-related proteins, CDK16, MYC, and phosphorylated MYC were detected by Western blot. Co-immunoprecipitation (CoIP) was used to examine the protein interaction between CDK16 and MYC, and cycloheximide (CHX) treatment was applied to assess the effect of CDK16 overexpression on MYC protein stability. ResultsCCK-8 assays showed that 2.5 mg·L-1 5-FU significantly inhibited HCT-116 cell viability in a dose-dependent manner. In HCT-116/5-FU cells, significant inhibition was observed only at 5 mg·L-1 5-FU (P<0.05), which was used for model establishment. Compared with 5-FU alone, addition of 5% GQT-containing serum significantly suppressed HCT-116/5-FU cell viability (P<0.05), with stronger inhibition at higher serum concentrations. Thus, 5% GQT-containing serum was used in subsequent experiments. Compared with the control group, 5-FU, GQT, and 5-FU + GQT treatments all significantly reduced cell proliferation (P<0.05) and increased apoptosis (P<0.01). The 5-FU + GQT combination showed superior inhibition of proliferation compared with 5-FU or GQT alone (P<0.01), accompanied by more pronounced reductions in glucose consumption, ATP production, and lactate generation (P<0.01). Additionally, compared with control, 5-FU, and GQT groups, the 5-FU + GQT group exhibited stronger suppression of MYC and its phosphorylated forms (P<0.01) and greater inhibition of glycolytic enzymes, including hexokinase 2 (HK2), 3-phosphoinositide-dependent protein kinase 1 (PDK1), lactate dehydrogenase A (LDHA), and pyruvate kinase M2 (PKM2) (P<0.01). CDK16, MYC, and MYC phosphorylation expression levels were significantly downregulated in the 5-FU + GQT group compared with the 5-FU group (all P<0.01). MYC protein stability decreased in a time-dependent manner in the 5-FU + GQT group (P<0.05), which was rescued by CDK16 overexpression (P<0.05). ConclusionGQT significantly enhances the sensitivity of HCT-116/5-FU cells to 5-FU, potentially by inhibiting CDK16 and thereby reducing MYC-mediated glycolysis.
8.Investigating Effect of Xianglian Huazhuo Prescription on Cell Cycle and Proliferation in Rats with Chronic Atrophic Gastritis Through TGF-β1/Smads Signaling Pathway
Yican WANG ; Jie WANG ; Yirui CHENG ; Xiaojing LI ; Yibin MA ; Qiuhua LIU ; Ziwei LIU ; Yuxi GUO ; Pengli DU ; Yanru CAI ; Yao DU ; Zheng ZHI ; Bolin LI ; Qian YANG
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(8):128-136
ObjectiveTo explore the potential mechanism of Xianglian Huazhuo prescription (XLHZ) in treating chronic atrophic gastritis (CAG) by regulating cell cycle and inhibiting proliferation, using bioinformatics technology and animal experiments. MethodsDifferential expressed genes (DEGs) related to CAG were screened using GEO database and GEO2R tool. Weighted gene co-expression network analysis (WGCNA) was employed to search for hub genes of CAG. These hub genes were intersected with cell cycle proliferation based on GeneCards database. Eenrichment analysis of the intersecting genes was performed to obtain signaling pathways and biological processes related to CAG. Protein protein interaction (PPI) analysis of genes was conducted using the Protein Interaction Platform (STRING) database to search the super hub gene (hub 2.0), and animal experiments were conducted for further validation. Fourteen of 70 male Wistar rats were randomly selected as the normal group, and the remaining 56 rats were prepared by the combined modeling method of "starvation disorder+N-methyl-N-nitro-N-nitrosoguanidine (MNNG) + sodium salicylate". The successfully modeled rats were randomly divided into the model group, XLHZ-H, XLHZ-M, and XLHZ-L groups (36, 18, 9 g·kg-1, respectively), and Morodan group (1.4 g·kg-1). Each group was given corresponding intervention for 60 days. Hematoxylin-eosin (HE) staining was used to observe the histopathological changes of gastric mucosa in rats. The ultrastructure of gastric mucosal tissue cells was observed by transmission electron microscopy. The relative expression levels of TGF-β1, Smad2 and Smad3 proteins, S/G2/M phase marker geminin and proliferation marker MCM2 were detected by Western blot in gastric mucosal tissue, and Spearman correlation analysis was performed. ResultsA total of 15 hub 2.0 genes were identified, including TGF-β1, suggesting the involvement of the TGF-β1 signaling pathway in the CAG pathogenesis. Compared with the normal group, the expressions of TGF-β1, Smad2, geminin and MCM2 proteins in the gastric mucosa tissue of the model group were increased (P<0.05), and the expression of Smad3 protein was decreased (P<0.05). Compared with the model group, the expressions of TGF-β1 and geminin in the gastric mucosa were decreased in the drug groups (P<0.05). The XLHZ-M group, XLHZ-H group and Morodan group had significantly decreased protein expression of Smad2 and MCM2 (P<0.05). The protein expression of Smad3 was significantly increased in XLHZ-M, XLHZ-H, and Morodan groups (P<0.05). Spearman correlation analysis showed that Smad3 was negatively correlated with other indicators, and positively correlated with other indicators (P<0.01). ConclusionXLHZ may inhibit TGF-β1/Smads signaling pathway, regulate cell cycle, and inhibit proliferation in the treatment of CAG.
9.Mechanisms of Gegen Qinlian Tang-containing Serum in Improving 5-FU Sensitivity by Inhibiting Glycolysis in Colorectal Cancer Cells Based on CDK16/MYC Pathway
Rong CAI ; Shang WANG ; Fuqing CHENG ; Yanping ZHOU ; Zuowei HU ; Yunhai LI
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(8):1-9
ObjectiveTo explore the molecular mechanisms by which serum containing Gegen Qinlian Tang (GQT) inhibits glycolysis and enhances chemotherapy sensitivity in 5-fluorouracil (5-FU)-resistant colorectal cancer (CRC) cells based on the cyclin-dependent kinase 16 (CDK16)/MYC proto-oncogene (MYC) pathway. MethodsHCT-116/5-FU cells were treated with different concentrations (5%, 10%, 20%, 30%) of GQT-containing serum. Cell viability and 5-FU sensitivity were assessed using the cell counting kit-8 (CCK-8) assay, and the experimental concentrations of 5-FU and GQT for subsequent experiments were determined. Cell proliferation and apoptosis under individual 5-FU, GQT, and combined 5-FU + GQT treatments were evaluated using 5-ethynyl-2′-deoxyuridine (EDU) staining and annexin V-FITC/PI double staining, respectively. Glucose consumption, adenosine triphosphate (ATP) production, and lactate levels were measured by colorimetric assays. Expression levels of glycolysis-related proteins, CDK16, MYC, and phosphorylated MYC were detected by Western blot. Co-immunoprecipitation (CoIP) was used to examine the protein interaction between CDK16 and MYC, and cycloheximide (CHX) treatment was applied to assess the effect of CDK16 overexpression on MYC protein stability. ResultsCCK-8 assays showed that 2.5 mg·L-1 5-FU significantly inhibited HCT-116 cell viability in a dose-dependent manner. In HCT-116/5-FU cells, significant inhibition was observed only at 5 mg·L-1 5-FU (P<0.05), which was used for model establishment. Compared with 5-FU alone, addition of 5% GQT-containing serum significantly suppressed HCT-116/5-FU cell viability (P<0.05), with stronger inhibition at higher serum concentrations. Thus, 5% GQT-containing serum was used in subsequent experiments. Compared with the control group, 5-FU, GQT, and 5-FU + GQT treatments all significantly reduced cell proliferation (P<0.05) and increased apoptosis (P<0.01). The 5-FU + GQT combination showed superior inhibition of proliferation compared with 5-FU or GQT alone (P<0.01), accompanied by more pronounced reductions in glucose consumption, ATP production, and lactate generation (P<0.01). Additionally, compared with control, 5-FU, and GQT groups, the 5-FU + GQT group exhibited stronger suppression of MYC and its phosphorylated forms (P<0.01) and greater inhibition of glycolytic enzymes, including hexokinase 2 (HK2), 3-phosphoinositide-dependent protein kinase 1 (PDK1), lactate dehydrogenase A (LDHA), and pyruvate kinase M2 (PKM2) (P<0.01). CDK16, MYC, and MYC phosphorylation expression levels were significantly downregulated in the 5-FU + GQT group compared with the 5-FU group (all P<0.01). MYC protein stability decreased in a time-dependent manner in the 5-FU + GQT group (P<0.05), which was rescued by CDK16 overexpression (P<0.05). ConclusionGQT significantly enhances the sensitivity of HCT-116/5-FU cells to 5-FU, potentially by inhibiting CDK16 and thereby reducing MYC-mediated glycolysis.
10.Investigating Effect of Xianglian Huazhuo Prescription on Cell Cycle and Proliferation in Rats with Chronic Atrophic Gastritis Through TGF-β1/Smads Signaling Pathway
Yican WANG ; Jie WANG ; Yirui CHENG ; Xiaojing LI ; Yibin MA ; Qiuhua LIU ; Ziwei LIU ; Yuxi GUO ; Pengli DU ; Yanru CAI ; Yao DU ; Zheng ZHI ; Bolin LI ; Qian YANG
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(8):128-136
ObjectiveTo explore the potential mechanism of Xianglian Huazhuo prescription (XLHZ) in treating chronic atrophic gastritis (CAG) by regulating cell cycle and inhibiting proliferation, using bioinformatics technology and animal experiments. MethodsDifferential expressed genes (DEGs) related to CAG were screened using GEO database and GEO2R tool. Weighted gene co-expression network analysis (WGCNA) was employed to search for hub genes of CAG. These hub genes were intersected with cell cycle proliferation based on GeneCards database. Eenrichment analysis of the intersecting genes was performed to obtain signaling pathways and biological processes related to CAG. Protein protein interaction (PPI) analysis of genes was conducted using the Protein Interaction Platform (STRING) database to search the super hub gene (hub 2.0), and animal experiments were conducted for further validation. Fourteen of 70 male Wistar rats were randomly selected as the normal group, and the remaining 56 rats were prepared by the combined modeling method of "starvation disorder+N-methyl-N-nitro-N-nitrosoguanidine (MNNG) + sodium salicylate". The successfully modeled rats were randomly divided into the model group, XLHZ-H, XLHZ-M, and XLHZ-L groups (36, 18, 9 g·kg-1, respectively), and Morodan group (1.4 g·kg-1). Each group was given corresponding intervention for 60 days. Hematoxylin-eosin (HE) staining was used to observe the histopathological changes of gastric mucosa in rats. The ultrastructure of gastric mucosal tissue cells was observed by transmission electron microscopy. The relative expression levels of TGF-β1, Smad2 and Smad3 proteins, S/G2/M phase marker geminin and proliferation marker MCM2 were detected by Western blot in gastric mucosal tissue, and Spearman correlation analysis was performed. ResultsA total of 15 hub 2.0 genes were identified, including TGF-β1, suggesting the involvement of the TGF-β1 signaling pathway in the CAG pathogenesis. Compared with the normal group, the expressions of TGF-β1, Smad2, geminin and MCM2 proteins in the gastric mucosa tissue of the model group were increased (P<0.05), and the expression of Smad3 protein was decreased (P<0.05). Compared with the model group, the expressions of TGF-β1 and geminin in the gastric mucosa were decreased in the drug groups (P<0.05). The XLHZ-M group, XLHZ-H group and Morodan group had significantly decreased protein expression of Smad2 and MCM2 (P<0.05). The protein expression of Smad3 was significantly increased in XLHZ-M, XLHZ-H, and Morodan groups (P<0.05). Spearman correlation analysis showed that Smad3 was negatively correlated with other indicators, and positively correlated with other indicators (P<0.01). ConclusionXLHZ may inhibit TGF-β1/Smads signaling pathway, regulate cell cycle, and inhibit proliferation in the treatment of CAG.

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