1.Preparation and identification of polyclonal antibody against methyl-accepting chemotaxis signal transduction protein of Helicobacter hepaticus.
Shengping HE ; Yahua CHEN ; Yingying ZHAO ; Jide WANG ; Yang BAI
Journal of Southern Medical University 2013;33(9):1295-1298
OBJECTIVETo prepare the polyclonal antibody against methyl-accepting chemotaxis signal transduction protein (MCP) of Helicobacter hepaticus (H.hepaticus).
METHODSThe recombinant plasmid pET22b+/MCP was transformed into E.coli BL2l(DE3) to express the fusion protein His-rhMCP under the induction of IPTG. The fusion protein was purified and the antibody was obtained by immunizing rabbits. The titer of the polyclonal antibody was tested by indirect ELISA, and the specificity of the antibody was identified based on Western blotting using the prepared cell surface proteins (CSPs) of the bacteria.
RESULTSThe fusion protein was successfully expressed, and the titer of the antibody reached 1:32 000. Western blotting indicated that the antibody could specifically bind to CSPs and His-rhMCP.
CONCLUSIONThe antibody with a high titer and specificity was prepared to facilitate further study of the pathogenicity and epidemiology of H.hepaticus in human.
Animals ; Antibodies, Bacterial ; biosynthesis ; genetics ; Antibody Specificity ; Bacterial Proteins ; immunology ; Helicobacter hepaticus ; immunology ; metabolism ; Male ; Mice ; Mice, Inbred BALB C ; Rabbits ; Recombinant Fusion Proteins ; biosynthesis ; genetics ; Signal Transduction
2.Preparation and identification of polyclonal antibody against methyl-accepting chemotaxis signal transduction protein of Helicobacter hepaticus
Shengping HE ; Yahua CHEN ; Yingying ZHAO ; Jide WANG ; Yang BAI
Journal of Southern Medical University 2013;(9):1295-1298
Objective To prepare the polyclonal antibody against methyl-accepting chemotaxis signal transduction protein (MCP) of Helicobacter hepaticus (H.hepaticus). Methods The recombinant plasmid pET22b+/MCP was transformed into E.coli BL2l(DE3) to express the fusion protein His-rhMCP under the induction of IPTG. The fusion protein was purified and the antibody was obtained by immunizing rabbits. The titer of the polyclonal antibody was tested by indirect ELISA, and the specificity of the antibody was identified based on Western blotting using the prepared cell surface proteins (CSPs) of the bacteria. Results The fusion protein was successfully expressed, and the titer of the antibody reached 1∶32 000. Western blotting indicated that the antibody could specifically bind to CSPs and His-rhMCP. Conclusion The antibody with a high titer and specificity was prepared to facilitate further study of the pathogenicity and epidemiology of H.hepaticus in human.
3.Preparation and identification of polyclonal antibody against methyl-accepting chemotaxis signal transduction protein of Helicobacter hepaticus
Shengping HE ; Yahua CHEN ; Yingying ZHAO ; Jide WANG ; Yang BAI
Journal of Southern Medical University 2013;(9):1295-1298
Objective To prepare the polyclonal antibody against methyl-accepting chemotaxis signal transduction protein (MCP) of Helicobacter hepaticus (H.hepaticus). Methods The recombinant plasmid pET22b+/MCP was transformed into E.coli BL2l(DE3) to express the fusion protein His-rhMCP under the induction of IPTG. The fusion protein was purified and the antibody was obtained by immunizing rabbits. The titer of the polyclonal antibody was tested by indirect ELISA, and the specificity of the antibody was identified based on Western blotting using the prepared cell surface proteins (CSPs) of the bacteria. Results The fusion protein was successfully expressed, and the titer of the antibody reached 1∶32 000. Western blotting indicated that the antibody could specifically bind to CSPs and His-rhMCP. Conclusion The antibody with a high titer and specificity was prepared to facilitate further study of the pathogenicity and epidemiology of H.hepaticus in human.
4.Relationship between serum Nrf2 and AOPP levels and blood lipids and liver fibrosis in patients with non-alcoholic steatohepatitis
Pengsen WANG ; Ying HE ; Tongxin LI ; Jide CHEN
International Journal of Laboratory Medicine 2024;45(19):2345-2348
Objective To investigate the relationship between serum levels of nuclear factor E2-related fac-tor 2(Nrf2),advanced oxidation protein products(AOPP)and blood lipid,liver fibrosis in patients with non-alcoholic steatohepatitis(NASH).Methods A total of 104 patients with NASH in Bishan Hospital Affiliated to Chongqing Medical University were selected as the study group,and 90 healthy people were selected as the control group.The serum levels of Nrf2 and AOPP in each group were detected and compared.Pearson or Spearman correlation analysis was used to analyze the relationship between serum Nrf2,AOPP levels and blood lipid,liver fibrosis in patients with NASH.Receiver operating characteristic(ROC)curve was used to e-valuate the diagnostic value of serum Nrf2,AOPP levels for NASH.Results The levels of triglyceride(TG),total cholesterol(TC),low density lipoprotein cholesterol(LDL-C),Nrf2 and AOPP in the study group were higher than those in the control group(P<0.05),and the level of high density lipoprotein cholesterol(HDL-C)was significantly lower than that in the control group(P<0.05).The serum levels of Nrf2 and AOPP in severe group were higher than those in moderate group and mild group(P<0.05),and the serum levels of Nrf2 and AOPP in moderate group were higher than those in mild group(P<0.05).Correlation analysis showed that serum Nrf2 and AOPP levels in NASH patients were positively correlated with TG,TC,LDL-C and the degree of liver fibrosis(P<0.05),and negatively correlated with HDL-C(P<0.05).The area under the curve(AUC)of serum Nrf2 for NASH diagnosis was 0.830(95%CI 0.780-0.880).The AUC of serum AOPP in the diagnosis of NASH was 0.866(95%CI 0.816-0.916).The AUC of the combined diagnosis of NASH was 0.925(95%CI 0.875-0.975).Conclusion The serum levels of Nrf2 and AOPP are increased in NASH patients,and they are closely related to blood lipids and liver fibrosis,which are expected to be effective indicators for the diagnosis of NASH.
5.Radioprotective effect of 1,2-propanediol combined with hepatocyte growth factor-modified dental pulp stem cell exosomes on human skin cells
Yun LIU ; Jiayan JIN ; Yubin LIU ; Qiang LI ; Boyuan REN ; He LIU ; Zuze WU ; Gangqiao ZHOU ; Jide JIN
Chinese Journal of Tissue Engineering Research 2024;28(13):2002-2008
BACKGROUND:Skin damage caused by radiation therapy and nuclear accidents is still a serious medical problem.It is difficult to achieve effective treatment results with single prevention and treatment methods.It is an important research direction to find new comprehensive treatment methods. OBJECTIVE:To observe the protective effect and the underlying mechanism of 1,2-propanediol combined with hepatocyte growth factor-modified exosomes derived from dental pulp stem cells on human epidermal radiation damage cell models. METHODS:(1)After infection of human dental pulp stem cells using recombinant adenovirus of human hepatocyte growth factor gene,exosomes,i.e.,Ad.HGF DPSC-Exo,were isolated with ultracentrifugation.(2)HaCat cells were irradiated with X-ray.The cells were treated with 1,2-propanediol before irradiation and Ad.HGF DPSC-Exo after irradiation.Cell proliferative activity was determined by CCK-8 assay.Cell apoptosis was detected by flow cytometry.Cell migration was detected by cell scratch assay.The expression levels of P21 and P53 were detected by PCR. RESULTS AND CONCLUSION:1,2-Propanediol,Ad.HGF.DPSC-Exo,Ad.HGF.DPSC-Exo + 1,2-propanediol could significantly improve the growth inhibition of HaCaT cells,reduce cell apoptosis,elevate cell proliferation and migration,and exhibit a good radiation protection effect.Moreover,the combined effect of Ad.HGF.DPSC-Exo + 1,2-propanediol was better.Furthermore,Ad.HGF.DPSC-Exo + 1,2-propanediol alleviated the cellular G2/M phase block and decreased the expression of cell cycle genes P53 and P21.In conclusion,1,2-propanediol pretreatment combined with Ad.HGF.DPSC-Exo had significant protective effects on radiation-induced HaCaT cell injury and it provided novel ideas and potential methods for the prevention and treatment of radiation-induced skin damage.
6.Effects of probiotics on the intestinal microecological abnormalities and colorectal cancer of mice induced by high-fat diet
Jide HE ; Cheng KONG ; Renyuan GAO ; Fang YIN ; Yang ZHANG ; Huanlong QIN
Chinese Journal of Gastrointestinal Surgery 2020;23(Z1):77-85
Objective:To establish the mice colorectal cancer (CRC) model induced by AOM/DSS with the intervention of high fat diet and probiotics, and to explore the potential mechanism of probiotics intervention in regulating intestinal flora disturbance and antitumor efficiency.Methods:Forty 8-week-old male C57BL/6J mice were randomly divided into 4 groups with 10 mice in each group: HFD group, HDF with probiotics intervention (HFD+P) group, normal diet (ND) group, normal diet with probiotics intervention (ND+P) group. The probiotic groups were administered with probiotics preparation by gavage. During the experiment, AOM/DSS was used to induce mouse colorectal cancer model. The mouse body weight was regularly recorded and the body status was evaluated weekly. High-throughput 16S rDNA sequencing was used to analyze the changes of fecal flora in bacterial structure before and after cancer induction. At the end of the experiment, intestinal tissues of mice were collected and the epididymis adipose mass (EAM) and tumor burden were recorded. The Alpha diversity index was used to analyze the abundance and diversity of the intestinal flora (higher chaol index means higher abundance of bacteria and greater Simpson index means lower diversity in flora structure). The Beta diversity index was used to analyze the significance of the difference in the distribution of intestinal flora among the four groups (When R>0, the difference in the distribution of bacteria among the groups is greater than the difference within the group).Results:After 15 weeks of experiment, the body weight of mice in HFD group, HFD+P group, ND group and ND+P group was (33.70±0.52) g, (28.70±0.32) g, (25.90±0.34) g and (25.60±0.40) g, whose difference was statistically significant ( F=700.89, P<0.01). The body weight of HFD group was higher than that of ND group and HFD+P group while the body weight of HFD+P group was still higher than that of ND group, and the differences were statistically significant (all P<0.017). The average EAM of HFD group, HFD+P group, ND group and ND+P group was (1.36±0.15) g, (0.67±0.08) g, (0.58±0.10) g and (0.54±0.05) g, whose difference was statistically significant ( F=114.03, P<0.01). Pairwise comparisons showed that EAM in HFD group was higher than that in ND group and HFD+P group respectively, with statistically significant difference (both P<0.01), while average EAM of HFD+P group was similar to ND group ( P=0.09). Under the diet intervention, the Chao1 index of HFD group, HFD+P group, ND group and ND+P group was 217.62, 235.32, 301.51 and 305.71 respectively, and the Simpson index was 0.93, 0.89, 0.91 and 0.90. At the same time, the Anosim analysis of Beta diversity analysis showed that the difference in the flora distribution among four groups was greater than the difference with in each group with statistically significant difference ( R=0.655, P=0.001). Species abundance analysis revealed that, compared with ND group, at phylum level, HFD group had a higher proportion of Bacteroides phylum and Firmicutes phylum in the intestinal flora and lower proportion of Verrucomicrobia; at genus level, the proportion of Bacteroides and Oscillibacter in HFD group was higher while the proportion of Akkermansia and Alloprevotella was lower. After the intervention of probiotics, the flora mentioned above was improved significantly except for Alloprevotella. The average number of tumor in HFD group, HFD+P group, ND group and ND+P group was 4.63±1.19, 2.33±0.52, 2.56±0.73 and 2.38±0.52 with statistically significant difference ( F=14.92, P<0.01). Conclusion:Probiotics therapy can reduce obesity and flora imbalance caused by HFD and reduce the incidence of CRC by regulating intestinal flora disturbance.
7.Effects of probiotics on the intestinal microecological abnormalities and colorectal cancer of mice induced by high-fat diet
Jide HE ; Cheng KONG ; Renyuan GAO ; Fang YIN ; Yang ZHANG ; Huanlong QIN
Chinese Journal of Gastrointestinal Surgery 2020;23(Z1):77-85
Objective:To establish the mice colorectal cancer (CRC) model induced by AOM/DSS with the intervention of high fat diet and probiotics, and to explore the potential mechanism of probiotics intervention in regulating intestinal flora disturbance and antitumor efficiency.Methods:Forty 8-week-old male C57BL/6J mice were randomly divided into 4 groups with 10 mice in each group: HFD group, HDF with probiotics intervention (HFD+P) group, normal diet (ND) group, normal diet with probiotics intervention (ND+P) group. The probiotic groups were administered with probiotics preparation by gavage. During the experiment, AOM/DSS was used to induce mouse colorectal cancer model. The mouse body weight was regularly recorded and the body status was evaluated weekly. High-throughput 16S rDNA sequencing was used to analyze the changes of fecal flora in bacterial structure before and after cancer induction. At the end of the experiment, intestinal tissues of mice were collected and the epididymis adipose mass (EAM) and tumor burden were recorded. The Alpha diversity index was used to analyze the abundance and diversity of the intestinal flora (higher chaol index means higher abundance of bacteria and greater Simpson index means lower diversity in flora structure). The Beta diversity index was used to analyze the significance of the difference in the distribution of intestinal flora among the four groups (When R>0, the difference in the distribution of bacteria among the groups is greater than the difference within the group).Results:After 15 weeks of experiment, the body weight of mice in HFD group, HFD+P group, ND group and ND+P group was (33.70±0.52) g, (28.70±0.32) g, (25.90±0.34) g and (25.60±0.40) g, whose difference was statistically significant ( F=700.89, P<0.01). The body weight of HFD group was higher than that of ND group and HFD+P group while the body weight of HFD+P group was still higher than that of ND group, and the differences were statistically significant (all P<0.017). The average EAM of HFD group, HFD+P group, ND group and ND+P group was (1.36±0.15) g, (0.67±0.08) g, (0.58±0.10) g and (0.54±0.05) g, whose difference was statistically significant ( F=114.03, P<0.01). Pairwise comparisons showed that EAM in HFD group was higher than that in ND group and HFD+P group respectively, with statistically significant difference (both P<0.01), while average EAM of HFD+P group was similar to ND group ( P=0.09). Under the diet intervention, the Chao1 index of HFD group, HFD+P group, ND group and ND+P group was 217.62, 235.32, 301.51 and 305.71 respectively, and the Simpson index was 0.93, 0.89, 0.91 and 0.90. At the same time, the Anosim analysis of Beta diversity analysis showed that the difference in the flora distribution among four groups was greater than the difference with in each group with statistically significant difference ( R=0.655, P=0.001). Species abundance analysis revealed that, compared with ND group, at phylum level, HFD group had a higher proportion of Bacteroides phylum and Firmicutes phylum in the intestinal flora and lower proportion of Verrucomicrobia; at genus level, the proportion of Bacteroides and Oscillibacter in HFD group was higher while the proportion of Akkermansia and Alloprevotella was lower. After the intervention of probiotics, the flora mentioned above was improved significantly except for Alloprevotella. The average number of tumor in HFD group, HFD+P group, ND group and ND+P group was 4.63±1.19, 2.33±0.52, 2.56±0.73 and 2.38±0.52 with statistically significant difference ( F=14.92, P<0.01). Conclusion:Probiotics therapy can reduce obesity and flora imbalance caused by HFD and reduce the incidence of CRC by regulating intestinal flora disturbance.
8.MRI-derived radiomics models for diagnosis, aggressiveness, and prognosis evaluation in prostate cancer.
Xuehua ZHU ; Lizhi SHAO ; Zhenyu LIU ; Zenan LIU ; Jide HE ; Jiangang LIU ; Hao PING ; Jian LU
Journal of Zhejiang University. Science. B 2023;24(8):663-681
Prostate cancer (PCa) is a pernicious tumor with high heterogeneity, which creates a conundrum for making a precise diagnosis and choosing an optimal treatment approach. Multiparametric magnetic resonance imaging (mp-MRI) with anatomical and functional sequences has evolved as a routine and significant paradigm for the detection and characterization of PCa. Moreover, using radiomics to extract quantitative data has emerged as a promising field due to the rapid growth of artificial intelligence (AI) and image data processing. Radiomics acquires novel imaging biomarkers by extracting imaging signatures and establishes models for precise evaluation. Radiomics models provide a reliable and noninvasive alternative to aid in precision medicine, demonstrating advantages over traditional models based on clinicopathological parameters. The purpose of this review is to provide an overview of related studies of radiomics in PCa, specifically around the development and validation of radiomics models using MRI-derived image features. The current landscape of the literature, focusing mainly on PCa detection, aggressiveness, and prognosis evaluation, is reviewed and summarized. Rather than studies that exclusively focus on image biomarker identification and method optimization, models with high potential for universal clinical implementation are identified. Furthermore, we delve deeper into the critical concerns that can be addressed by different models and the obstacles that may arise in a clinical scenario. This review will encourage researchers to design models based on actual clinical needs, as well as assist urologists in gaining a better understanding of the promising results yielded by radiomics.
Male
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Humans
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Artificial Intelligence
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Magnetic Resonance Imaging/methods*
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Prostatic Neoplasms/diagnostic imaging*
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Image Processing, Computer-Assisted/methods*
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Precision Medicine
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Retrospective Studies