1.Bioinformatics Analysis of VIPR2 as A Biomarker for Immune Infiltration and Prognosis in Esophageal Adenocarcinoma
Ke ZHAO ; Lei LIU ; Guige WANG ; Jiaqi ZHANG ; Libing YANG ; Chao GUO ; Cheng HUANG ; Yeye CHEN ; Shanqing LI
Cancer Research on Prevention and Treatment 2026;53(6):430-439
Objective To investigate the expression characteristics, prognostic value, and correlation with immune
2.Effect of Yinqi Sanhuang Jiedu Decoction on Piezo1-YAP Signaling Axis and Macrophage Polarization in Mouse Model of Liver Fibrosis
Chao LEI ; Yanbo LI ; Houyan ZHANG ; Meng QIAO ; Qingjuan WU ; Wenliang LYU ; Zhifei WANG
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(20):142-152
ObjectiveTo validate the therapeutic effect of Yinqi Sanhuang Jiedu decoction (YQSH) on a mouse model of carbon tetrachloride (CCl4)-induced liver fibrosis and to investigate its correlations with the Piezo-type mechanosensitive ion channel component 1 (Piezo1)-Yes-associated protein (YAP) mechanical signaling axis and macrophage polarization. MethodsFifty-four C57BL/6J mice were randomized into a blank control group, a 4-week model group, a 6-week model group, a 8-week model group, a positive drug (silymarin, 55 mg·kg-1·d-1) group, and low-, medium-, and high-dose (8.325, 16.65, 33.3 g·kg-1·d-1, respectively) YQSH groups. Except the 6-week model group (n=12), each of the other groups had 6 mice. Mice in other groups except the blank control group received intraperitoneal injections of 10% CCl4 twice weekly for the modeling of liver fibrosis. Drug interventions began one week after the initial modeling through gavage, and the blank control and model groups received 0.2 mL of normal saline via gavage. The histopathological changes and collagen deposition in the liver were observed via hematoxylin-eosin (HE), Masson's trichrome, and Sirius red staining. Serum activities of alanine aminotransferase (ALT) and aspartate aminotransferase (AST), as well as serum levels of total protein (TP), albumin (ALB), total bilirubin (TBIL), hyaluronic acid (HA), laminin (LN), procollagen type Ⅲ (PCⅢ), and collagen type Ⅳ (Ⅳ-C), were measured. The levels of tumor necrosis factor-α (TNF-α) and interleukin-1β (IL-1β) in the liver tissue were determined by enzyme-linked immunosorbent assay (ELISA). The protein and mRNA levels of Piezo1 and YAP1 in the liver tissue were determined by immunohistochemistry (IHC) and Real-time fluorescence quantitative polymerase chain reaction (Real-time PCR), respectively. Co-localization of Piezo1 with YAP1, and YAP1 with inducible nitric oxide synthase (iNOS) was observed by the immunofluorescence (IF) assay. The proportions of M1-type (F4/80+CD80+) and M2-type (F4/80+CD206+) macrophages in the liver tissue were examined by flow cytometry. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses and gene set enrichment analysis (GSEA) were performed through transcriptomic sequencing. ResultsCompared with the blank control group, the model group exhibited gradually worsened liver fibrosis at the 4th, 6th, and 8th weeks. The 6- and 8-week model groups showcased inflammatory cell infiltration and collagen deposition in the liver (P<0.01) and upregulated protein levels of both Piezo1 and YAP1 (P<0.01). Compared with the model groups, treatment with YQSH improved the liver function (P<0.05, P<0.01), alleviated liver fibrosis (P<0.05, P<0.01), and reduced intrahepatic inflammatory cell infiltration and collagen deposition (P<0.01). Furthermore, the treatment downregulated the protein and mRNA levels of Piezo1 and YAP1 (P<0.05, P<0.01), lowered the levels of inflammatory factors TNF-α and IL-1β (P<0.05, P<0.01), and decreased the ratio of CD80 (M1-type)/CD206 (M2-type) macrophage proteins (P<0.01). The IF assay showed co-localization of YAP1 with Piezo1 and iNOS. Compared with the model groups, YQSH treatment downregulated the expression of Piezo1, YAP1, and iNOS (P<0.05, P<0.01). Transcriptomic analysis suggested that the anti-liver fibrosis effect of YQSH may be related to the Hippo signaling pathway (P<0.05). ConclusionThe anti-liver fibrosis effect of YQSH may be related to its inhibition of the Piezo1-YAP signaling axis and regulation of macrophage polarization.
3.Effect of Yinqi Sanhuang Jiedu Decoction on Piezo1-YAP Signaling Axis and Macrophage Polarization in Mouse Model of Liver Fibrosis
Chao LEI ; Yanbo LI ; Houyan ZHANG ; Meng QIAO ; Qingjuan WU ; Wenliang LYU ; Zhifei WANG
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(20):142-152
ObjectiveTo validate the therapeutic effect of Yinqi Sanhuang Jiedu decoction (YQSH) on a mouse model of carbon tetrachloride (CCl4)-induced liver fibrosis and to investigate its correlations with the Piezo-type mechanosensitive ion channel component 1 (Piezo1)-Yes-associated protein (YAP) mechanical signaling axis and macrophage polarization. MethodsFifty-four C57BL/6J mice were randomized into a blank control group, a 4-week model group, a 6-week model group, a 8-week model group, a positive drug (silymarin, 55 mg·kg-1·d-1) group, and low-, medium-, and high-dose (8.325, 16.65, 33.3 g·kg-1·d-1, respectively) YQSH groups. Except the 6-week model group (n=12), each of the other groups had 6 mice. Mice in other groups except the blank control group received intraperitoneal injections of 10% CCl4 twice weekly for the modeling of liver fibrosis. Drug interventions began one week after the initial modeling through gavage, and the blank control and model groups received 0.2 mL of normal saline via gavage. The histopathological changes and collagen deposition in the liver were observed via hematoxylin-eosin (HE), Masson's trichrome, and Sirius red staining. Serum activities of alanine aminotransferase (ALT) and aspartate aminotransferase (AST), as well as serum levels of total protein (TP), albumin (ALB), total bilirubin (TBIL), hyaluronic acid (HA), laminin (LN), procollagen type Ⅲ (PCⅢ), and collagen type Ⅳ (Ⅳ-C), were measured. The levels of tumor necrosis factor-α (TNF-α) and interleukin-1β (IL-1β) in the liver tissue were determined by enzyme-linked immunosorbent assay (ELISA). The protein and mRNA levels of Piezo1 and YAP1 in the liver tissue were determined by immunohistochemistry (IHC) and Real-time fluorescence quantitative polymerase chain reaction (Real-time PCR), respectively. Co-localization of Piezo1 with YAP1, and YAP1 with inducible nitric oxide synthase (iNOS) was observed by the immunofluorescence (IF) assay. The proportions of M1-type (F4/80+CD80+) and M2-type (F4/80+CD206+) macrophages in the liver tissue were examined by flow cytometry. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses and gene set enrichment analysis (GSEA) were performed through transcriptomic sequencing. ResultsCompared with the blank control group, the model group exhibited gradually worsened liver fibrosis at the 4th, 6th, and 8th weeks. The 6- and 8-week model groups showcased inflammatory cell infiltration and collagen deposition in the liver (P<0.01) and upregulated protein levels of both Piezo1 and YAP1 (P<0.01). Compared with the model groups, treatment with YQSH improved the liver function (P<0.05, P<0.01), alleviated liver fibrosis (P<0.05, P<0.01), and reduced intrahepatic inflammatory cell infiltration and collagen deposition (P<0.01). Furthermore, the treatment downregulated the protein and mRNA levels of Piezo1 and YAP1 (P<0.05, P<0.01), lowered the levels of inflammatory factors TNF-α and IL-1β (P<0.05, P<0.01), and decreased the ratio of CD80 (M1-type)/CD206 (M2-type) macrophage proteins (P<0.01). The IF assay showed co-localization of YAP1 with Piezo1 and iNOS. Compared with the model groups, YQSH treatment downregulated the expression of Piezo1, YAP1, and iNOS (P<0.05, P<0.01). Transcriptomic analysis suggested that the anti-liver fibrosis effect of YQSH may be related to the Hippo signaling pathway (P<0.05). ConclusionThe anti-liver fibrosis effect of YQSH may be related to its inhibition of the Piezo1-YAP signaling axis and regulation of macrophage polarization.
4.Changing antimicrobial resistance profiles of Burkholderia cepacia in hospitals across China:results from CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Chunyue GE ; Yunjian HU ; Xiaoman AI ; Yang YANG ; Fupin HU ; Demei ZHU ; Yingchun XU ; Xiaojiang ZHANG ; Hui LI ; Ping JI ; Yi XIE ; Mei KANG ; Chuanqing WANG ; Pan FU ; Yuanhong XU ; Ying HUANG ; Ziyong SUN ; Zhongju CHEN ; Yuxing NI ; Jingyong SUN ; Yunzhuo CHU ; Sufei TIAN ; Zhidong HU ; Jin LI ; Yunsong YU ; Jie LIN ; Bin SHAN ; Yan DU ; Sufang GUO ; Lianhua WEI ; Fengmei ZOU ; Hong ZHANG ; Chun WANG ; Chao ZHUO ; Danhong SU ; Dawen GUO ; Jinying ZHAO ; Hua YU ; Xiangning HUANG ; Wen'en LIU ; Yanming LI ; Yan JIN ; Chunhong SHAO ; Xuesong XU ; Chao YAN ; Shanmei WANG ; Yafei CHU ; Lixia ZHANG ; Juan MA ; Shuping ZHOU ; Yan ZHOU ; Lei ZHU ; Jinhua MENG ; Fang DONG ; Zhiyong LÜ ; Fangfang HU ; Han SHEN ; Wanqing ZHOU ; Wei JIA ; Gang LI ; Jinsong WU ; Yuemei LU ; Jihong LI ; Jinju DUAN ; Jianbang KANG ; Xiaobo MA ; Yanping ZHENG ; Ruyi GUO ; Yan ZHU ; Yunsheng CHEN ; Qing MENG ; Shifu WANG ; Xuefei HU ; Jilu SHEN ; Wenhui HUANG ; Ruizhong WANG ; Hua FANG ; Bixia YU ; Yong ZHAO ; Ping GONG ; Kaizhen WENG ; Yirong ZHANG ; Jiangshan LIU ; Longfeng LIAO ; Hongqin GU ; Lin JIANG ; Wen HE ; Shunhong XUE ; Jiao FENG ; Chunlei YUE
Chinese Journal of Infection and Chemotherapy 2025;25(5):557-562
Objective To examine the changing prevalence and antimicrobial resistance profiles of Burkholderia cepacia in 52 hospitals across China from 2015 to 2021.Methods A total of 9 261 strains of B.cepacia were collected from 52 hospitals between January 1,2015 and December 31,2021.Antimicrobial susceptibility of the strains was tested using Kirby-Bauer method or automated antimicrobial susceptibility testing systems according to a unified protocol.The results were interpreted according to the breakpoints released in the Clinical & Laboratory Standards Institute(CLSI)guidelines(2023 edition).Results A total of 9 261 strains of B.cepacia were isolated from all age groups,especially elderly patients.The proportion was 11.1%(1 032 strains)in children,significantly lower than the proportion in adults.About half(46.5%,4 310/9 261)of the strains were isolated from patients at least 60 years old and 42.3%(3 919/9 261)of the strains were isolated from young adults.Most isolates(71.1%)were isolated from sputum and respiratory secretions,followed by urine(10.7%)and blood samples(8.1%).B.cepacia isolates were highly susceptible to the five antimicrobial agents recommended in the CLSI M100 document(33rd edition,2023).B.cepacia isolates showed relatively higher resistance rates to meropenem and levofloxacin.However,the resistance rates to ceftazidime,trimethoprim-sulfamethoxazole,and minocycline remained below 8.1%.The percentage of B.cepacia strains resistant to levofloxacin was the highest compared to other antibiotics in any of the three age groups(from 12.4%in the patients<18 years old to 20.6%in the patients aged 60 years or older).Conclusions B.cepacia is one of the clinically important non-fermenting gram-negative bacteria.Accurate and timely reporting of antimicrobial susceptibility test results and ongoing antimicrobial resistance surveillance are helpful for rational prescription of antimicrobial agents and proper prevention and control of nosocomial infections.
5.Whole-brain CT perfusion at different time for predicting clinical outcomes of patients with aneurysmal subarachnoid hemorrhage
Lei FENG ; Chao ZHANG ; Pengzhan YIN ; Juan WANG ; Chen YANG ; Jinlong YUAN ; Yunfeng ZHOU
Chinese Journal of Medical Imaging Technology 2025;41(7):1085-1090
Objective To observe the value of whole-brain CT perfusion(CTP)parameters at different time and clinical data for predicting delayed cerebral ischemia(DCI)and 3-month poor prognosis in patients with aneurysmal subarachnoid hemorrhage(aSAH).Methods Totally 127 aSAH patients were retrospectively enrolled.Clinical and CTP data within 24 h of symptom onset and during DCI time window(DCITW)were collected.The patients were divided into DCI group(n=34)and non-DCI group(n=93)based on DCI occurred or not during hospitalization,also into poor outcome group(modified Rankin scale[mRS]≥3,n=36)and good outcome group(mRS≤2)based on 3-month's follow-up.Multivariate logistic regression was performed to select independent predictive factors among variates being significantly different between groups.Then receiver operating characteristic curve was drawn,and the area under the curve(AUC)was calculated to evaluate the predictive performance of logistic regression model.Results Patients'age,modified Fisher score(mFS),subarachnoid hemorrhage early brain edema score(SEBES)and mean flow extraction product(mFEP)within 24 h of onset were all identified as independent predictive factors of DCI,and the AUC of their combination for predicting DCI during hospitalization was 0.817.Patients' age and mFS within 24 h of onset,alternatively,World Federation of Neurosurgical Societies(WFNS)grade and mFEP during DCITW were all independent predictive predictors of 3 months' prognosis,and the combination of the latter two showed better predictive performance(AUC=0.922)tahn the former two(AUC=0.822,P<0.05).Conclusion Whole-brain CTP parameters combined with clinical data within 24 h of onset of aSAH could be used to predict the occurrence of DCI during hospitalization,whole-brain CTP parameters during DCITW could be used to predict 3 months'poor prognosis.
6.Changing prevalence and antibiotic resistance profiles of carbapenem-resistant Enterobacterales in hospitals across China:data from CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Wenxiang JI ; Tong JIANG ; Jilu SHEN ; Yang YANG ; Fupin HU ; Demei ZHU ; Yuanhong XU ; Ying HUANG ; Fengbo ZHANG ; Ping JI ; Yi XIE ; Mei KANG ; Chuanqing WANG ; Pan FU ; Yingchun XU ; Xiaojiang ZHANG ; Ziyong SUN ; Zhongju CHEN ; Yuxing NI ; Jingyong SUN ; Yunzhuo CHU ; Sufei TIAN ; Zhidong HU ; Jin LI ; Yunsong YU ; Jie LIN ; Bin SHAN ; Yan DU ; Sufang GUO ; Lianhua WEI ; Fengmei ZOU ; Yunjian HU ; Xiaoman AI ; Chao ZHUO ; Danhong SU ; Dawen GUO ; Jinying ZHAO ; Hua YU ; Xiangning HUANG ; Wen'en LIU ; Yanming LI ; Yan JIN ; Chunhong SHAO ; Xuesong XU ; Chao YAN ; Shanmei WANG ; Yafei CHU ; Lixia ZHANG ; Juan MA ; Shuping ZHOU ; Yan ZHOU ; Lei ZHU ; Jinhua MENG ; Fang DONG ; Zhiyong LÜ ; Fangfang HU ; Han SHEN ; Wanqing ZHOU ; Wei JIA ; Gang LI ; Jinsong WU ; Yuemei LU ; Jihong LI ; Jinju DUAN ; Jianbang KANG ; Xiaobo MA ; Yanping ZHENG ; Ruyi GUO ; Yan ZHU ; Yunsheng CHEN ; Qing MENG ; Shifu WANG ; Xuefei HU ; Hong ZHANG ; Chun WANG ; Wenhui HUANG ; Ruizhong WANG ; Hua FANG ; Bixia YU ; Yong ZHAO ; Ping GONG ; Kaizhen WENG ; Yirong ZHANG ; Jiangshan LIU ; Longfeng LIAO ; Hongqin GU ; Lin JIANG ; Wen HE ; Shunhong XUE ; Jiao FENG ; Chunlei YUE
Chinese Journal of Infection and Chemotherapy 2025;25(4):445-454
Objective To summarize the changing prevalence of carbapenem resistance in Enterobacterales based on the data of CHINET Antimicrobial Resistance Surveillance Program from 2015 to 2021 for improving antimicrobial treatment in clinical practice.Methods Antimicrobial susceptibility testing was performed using a commercial automated susceptibility testing system according to the unified CHINET protocol.The results were interpreted according to the breakpoints of the Clinical & Laboratory Standards Institute(CLSI)M100 31st ed in 2021.Results Over the seven-year period(2015-2021),the overall prevalence of carbapenem-resistant Enterobacterales(CRE)was 9.43%(62 342/661 235).The prevalence of CRE strains in Klebsiella pneumoniae,Citrobacter freundii,and Enterobacter cloacae was 22.38%,9.73%,and 8.47%,respectively.The prevalence of CRE strains in Escherichia coli was 1.99%.A few CRE strains were also identified in Salmonella and Shigella.The CRE strains were mainly isolated from respiratory specimens(44.23±2.80)%,followed by blood(20.88±3.40)%and urine(18.40±3.45)%.Intensive care units(ICUs)were the major source of the CRE strains(27.43±5.20)%.CRE strains were resistant to all the β-lactam antibiotics tested and most non-β-lactam antimicrobial agents.The CRE strains were relatively susceptible to tigecycline and polymyxins with low resistance rates.Conclusions The prevalence of CRE strains was increasing from 2015 to 2021.CRE strains were highly resistant to most of the antibacterial drugs used in clinical practice.Clinicians should prescribe antimicrobial agents rationally.Hospitals should strengthen antibiotic stewardship in key clinical settings such as ICUs,and take effective infection control measures to curb CRE outbreak and epidemic in hospitals.
7.Changing distribution and antibiotic resistance profiles of the respiratory bacterial isolates in hospitals across China:data from CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Ying FU ; Yunsong YU ; Jie LIN ; Yang YANG ; Fupin HU ; Demei ZHU ; Yingchun XU ; Xiaojiang ZHANG ; Fengbo ZHANG ; Ping JI ; Yi XIE ; Mei KANG ; Chuanqing WANG ; Pan FU ; Yuanhong XU ; Ying HUANG ; Ziyong SUN ; Zhongju CHEN ; Yuxing NI ; Jingyong SUN ; Yunzhuo CHU ; Sufei TIAN ; Zhidong HU ; Jin LI ; Bin SHAN ; Yan DU ; Sufang GUO ; Lianhua WEI ; Fengmei ZOU ; Hong ZHANG ; Chun WANG ; Yunjian HU ; Xiaoman AI ; Chao ZHUO ; Danhong SU ; Dawen GUO ; Jinying ZHAO ; Hua YU ; Xiangning HUANG ; Wen'en LIU ; Yanming LI ; Yan JIN ; Chunhong SHAO ; Xuesong XU ; Chao YAN ; Shanmei WANG ; Yafei CHU ; Lixia ZHANG ; Juan MA ; Shuping ZHOU ; Yan ZHOU ; Lei ZHU ; Jinhua MENG ; Fang DONG ; Zhiyong LÜ ; Fangfang HU ; Han SHEN ; Wanqing ZHOU ; Wei JIA ; Gang LI ; Jinsong WU ; Yuemei LU ; Jihong LI ; Jinju DUAN ; Jianbang KANG ; Xiaobo MA ; Yanping ZHENG ; Ruyi GUO ; Yan ZHU ; Yunsheng CHEN ; Qing MENG ; Shifu WANG ; Xuefei HU ; Jilu SHEN ; Ruizhong WANG ; Hua FANG ; Bixia YU ; Yong ZHAO ; Ping GONG ; Kaizhen WENG ; Yirong ZHANG ; Jiangshan LIU ; Longfeng LIAO ; Hongqin GU ; Lin JIANG ; Wen HE ; Shunhong XUE ; Jiao FENG ; Chunlei YUE ; Wenhui HUANG
Chinese Journal of Infection and Chemotherapy 2025;25(4):431-444
Objective To characterize the changing species distribution and antibiotic resistance profiles of respiratory isolates in hospitals participating in the CHINET Antimicrobial Resistance Surveillance Program from 2015 to 2021.Methods Commercial automated antimicrobial susceptibility testing systems and disk diffusion method were used to test the susceptibility of respiratory bacterial isolates to antimicrobial agents following the standardized technical protocol established by the CHINET program.Results A total of 589 746 respiratory isolates were collected from 2015 to 2021.Overall,82.6%of the isolates were Gram-negative bacteria and 17.4%were Gram-positive bacteria.The bacterial isolates from outpatients and inpatients accounted for(6.0±0.9)%and(94.0±0.1)%,respectively.The top microorganisms were Klebsiella spp.,Acinetobacter spp.,Pseudomonas aeruginosa,Staphylococcus aureus,Haemophilus spp.,Stenotrophomonas maltophilia,Escherichia coli,and Streptococcus pneumoniae.Each microorganism was isolated from significantly more males than from females(P<0.05).The overall prevalence of methicillin-resistant S.aureus(MRSA)was 39.9%.The prevalence of penicillin-resistant S.pneumoniae was 1.4%.The prevalence of extended-spectrum β-lactamase(ESBL)-producing E.coli and K.pneumoniae was 67.8%and 41.3%,respectively.The overall prevalence of carbapenem-resistant E.coli,K.pneumoniae,Enterobacter cloacae,Pseudomonas aeruginosa,and Acinetobacter baumannii was 3.7%,20.8%,9.4%,29.8%,and 73.3%,respectively.The prevalence of β-lactamase was 96.1%in Moraxella catarrhalis and 60.0%in Haemophilus influenzae.The H.influenzae isolates from children(<18 years)showed significantly higher resistance rates to β-lactam antibiotics than the isolates from adults(P<0.05).Conclusions Gram-negative bacteria are still predominant in respiratory isolates associated with serious antibiotic resistance.Antimicrobial resistance surveillance should be strengthened in clinical practice to support accurate etiological diagnosis and appropriate antimicrobial therapy based on antimicrobial susceptibility testing results.
8.Effects of Yiqi Jiedu Tongluo Formula on renal injury in a rat model of type 2 diabetes mellitus via TGF-β/SMAD and VEGF pathways
Wen-xuan XU ; Lei-lei MA ; Ming-yu SHEN ; Xiao-jin LA ; Bi-wei ZHANG ; Shuo WANG ; Chao LI ; Peng CUI ; Zhen CHEN ; Ji-an LI
Chinese Traditional Patent Medicine 2025;47(2):421-429
AIM To observe the effects of Yiqi Jiedu Tongluo Formula(YQJDTL)on renal microvascular endothelial function and prevention of renal injury in a rat model of type 2 diabetes mellitus(T2DM).METHODS The SD rats were randomly divided into a normal group and a model group.The model group was administered with high-fat diet combined with a single intraperitoneal injection of STZ to establish the T2DM model.The successfully modeled rats were randomly divided into the model group,the canagliflozin group(9 mg/kg),and the low-dose and high-dose YQJDTL groups(4.77,9.45 g/kg).The corresponding doses of the drug were administered by gavage for a total of 12 weeks,during which the rats underwent observation of their general condition and blood glucose changes.After the end of administration,the rats had their levels of renal index,24-hour UP,serum SCr,BUN,TC,TG,HDL-C,LDL-C,ET-1 and NOS measured;their changes in renal microvasculature and the degree of renal fibrosis observed using HE staining,Masson staining,PAS staining,and PASM staining;their ultrastructure of the glomeruli observed using transmission electron microscopy;their renal protein expressions of TGF-β,SMAD2,SMAD3,Col-1,VEGFA and PKC detected by immunohistochemical staining and Western blot;and their renal mRNA expressions of VEGFA,TGF-β,SMAD2 determined by RT-qPCR.RESULTS Compared with the model group,the high-dose YQJDTL group showed decreased levels of renal index,blood glucose,TG,TC,HDL,24 h UP,BUN,SCr and ET-1(P<0.05,P<0.01);increased LDL and NOS levels(P<0.05,P<0.01);reduced renal inflammatory infiltration and fibrosis degree,inhibited fusion of foot processes and thickening of basement membrane;decreased renal protein expressions of TGF-β,SMAD2,SMAD3,VEGFA,PKC and Col-1(P<0.05,P<0.01);and decreased mRNA expressions of VEGFA,TGF-β and SMAD2(P<0.01).CONCLUSION In the rat models of T2DM,YQJDTL can reduce their levels of blood glucose and lipids by improving the renal indices levels and the renal microvascular endothelial functions to alleviate renal fibrosis and microangiopathy as well,and the mechanism may be associated with the down-regulated expressions of TGF-β/SMAD and VEGF pathway-related proteins.
9.Proton pump inhibitor pantoprazole promotes colonization of Helicobacter pylori Sydney strain 1 in the mouse stomach
Shuo YAN ; Xue LI ; Chao WANG ; Jiali XU ; Yu CHENG ; Liping ZHANG ; Lei SU ; Jianan GONG
Chinese Journal of Comparative Medicine 2025;35(2):24-32
Objective To explore method for improving the colonization efficiency of Helicobacter pylori(Hp)in the mouse stomach and to determine if the proton pump inhibitor(PPI)pantoprazole can act as a colonization adjuvant to enhance Hp colonization,with the aim of providing an effective tool for establishing an Hp infection mouse model.Methods The Hp Sydney strain 1(SS1)was introduced and solid plate and liquid culture systems were established.The effects of different doses of pantoprazole on gastric acid secretion in mice were compared.The impact of Hp inoculation,alone or combined with pantoprazole pretreatment,on Hp colonization efficiency was analyzed using rapid urease tests,bacterial plate cultures,and TaqMan quantitative polymerase chain reaction.Results PPI pretreatment inhibited gastric acid secretion and promoted Hp colonization in the mouse stomach,to some extent.Conclusions PPI can serve as colonization adjuvants to enhanc e the efficiency of constructing Hp infection mouse models.
10.Proton pump inhibitor pantoprazole promotes colonization of Helicobacter pylori Sydney strain 1 in the mouse stomach
Shuo YAN ; Xue LI ; Chao WANG ; Jiali XU ; Yu CHENG ; Liping ZHANG ; Lei SU ; Jianan GONG
Chinese Journal of Comparative Medicine 2025;35(2):24-32
Objective To explore method for improving the colonization efficiency of Helicobacter pylori(Hp)in the mouse stomach and to determine if the proton pump inhibitor(PPI)pantoprazole can act as a colonization adjuvant to enhance Hp colonization,with the aim of providing an effective tool for establishing an Hp infection mouse model.Methods The Hp Sydney strain 1(SS1)was introduced and solid plate and liquid culture systems were established.The effects of different doses of pantoprazole on gastric acid secretion in mice were compared.The impact of Hp inoculation,alone or combined with pantoprazole pretreatment,on Hp colonization efficiency was analyzed using rapid urease tests,bacterial plate cultures,and TaqMan quantitative polymerase chain reaction.Results PPI pretreatment inhibited gastric acid secretion and promoted Hp colonization in the mouse stomach,to some extent.Conclusions PPI can serve as colonization adjuvants to enhanc e the efficiency of constructing Hp infection mouse models.

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