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

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.

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 ; Humans ; Artificial Intelligence ; Magnetic Resonance Imaging/methods* ; Prostatic Neoplasms/diagnostic imaging* ; Image Processing, Computer-Assisted/methods* ; Precision Medicine ; Retrospective Studies