Objective To detect the interaction domains' gene mutations of KEAP1 and NRF2 in non-small-cell lung cancer cell lines,and to analyze the significance of these mutations on the study of lung cancer cell lines.Methods Six non-small-cell lung cancer cell lines were used as the research materials.The 2nd to 6th exons of KEAP1 and the coding sequences of DLG and ETGE motif were amplified by PCR,and the products were used for gene sequencing analysis.Obtained gene sequences were analyzed using NCBI databases to get the base locations of gene mutations,as well as the subsequent amino acid sequence changes.Meanwhile,the relative intracellular reactive oxygen species (ROS) concentrations in the tested cell lines were detected and used in the analysis of abnormal NRF2 transcriptional activity in lung cancer cell.Results Four mutations were detected in the 4th exon of KEAP1 gene from all the 6 cancer cell lines,several other missense mutations were also investigated in the 3rd exon of KEAP1 from some cancer cell lines.Multiple genetic variations were found in all the NRF2-ETGE motif-encoding sequences of the 6 cancer cell lines.All 6 cancer cell lines were found to have higher ROS concentration than the lung germ cell line.Conclusion Lung cancer cells generally contain high levels of ROS as well as gene mutations in KEAP1 and NRF2 genes which lead to abnormal transcriptional activity of NRF2 in lung cancer cell lines.

Objective To assess the ability of quantitative ultrasound index to predict the severity of CCl4?induced liver fibrosis in a rat model us?ing logistic regression analysis. Methods In a rat model of 40%CCl4?induced liver fibrosis,ultrasound detected the portal vein diameter,blood flow velocity,and Young's modulus. The degree of hepatic fibrosis was determined using a light microscope after hematoxylin and eosin staining of tissue. Results Portal vein diameter and Young's modulus were useful predictors of the severity of liver fibrosis,with statistical significance(P<0.05). Young's modulus was most effective with an R2 value 0.788. Young's modulus combined with the distal diameter of portal vein effectively improved the predictive ability,showing an R2 value 0.821. Conclusion Young's modulus is the most predictive index to assess the severity of liver fibrosis. A combination of multiple indices can improve the ability to predict the severity of liver fibrosis.

OBJECTIVETo explore the effects of gastrin on the expression of 1,25(OH)2D3-membrane associated rapid response steroid (1,25D3-MARRS) binding protein in rat intestinal epithelium.

METHODSSD rats received intraperitoneal injections of gastrin, omeprazole or physiological saline. The protein expression of 1,25D3-MARRS binding protein in SD rat intestinal was determined with Western blotting and immunohistochemistry, and its mRNA levels determined by RT-PCR. The serum calcium and phosphate levels in the rats were also detected.

RESULTSImmunohistochemistry showed that 1,25D3-MARRS binding protein was expressed mainly in the nuclei, cytoplasm and membrane of the intestinal epithelial cells. Both the protein and mRNA expression levels of 1,25D3-MARRS binding protein were up-regulated after treatments with gastrin and omeprazole (P<0.05), but the serum calcium and phosphate concentrations showed no obvious increase.

CONCLUSION1,25D3-MARRS binding protein, which is widely expressed with versatile functionalities, is regulated by gastrin and shows high potentials in the study of gastrointestinal diseases.

Animals ; Calcitriol ; metabolism ; Epithelial Cells ; drug effects ; metabolism ; Gastrins ; pharmacology ; Intestines ; cytology ; drug effects ; Male ; Protein Disulfide-Isomerases ; metabolism ; Rats ; Rats, Sprague-Dawley

OBJECTIVETo investigate the expression pattern of CD133 and ALDH1 in colorectal cancer cells line Colo205 cultured in serum-free medium (SFM) containing recombinant human epidermal growth factor (EGF) and basic fibroblast growth factor (bFGF).

METHODSColo205 cells were cultured in serum-free medium (SFM) containing human recombinant EGF and bFGF or in serum-supplemented medium (SSM). The expression of CD133 was analyzed in both groups, and CD133(+) and CD133(-) cells sorted from the SFM group using flow cytometry and observed microscopically for their growth status. The expression of CD133 and ALDH1 in CD133(+) cells and CD133(-) cells was detected by immunofluorescence assay. CD133(+) cells and CD133(-) cells were then injected subcutaneously into NOD/SCID mice and the expression of ALDH1 in the tumor tissues was detected by immunohistochemistry.

RESULTSThe cells in SFM group showed a significantly higher percentage of CD133(+) cells than those in SSM group (P<0.05). In SFM, CD133(+) cells were capable of forming tumor spheres while CD133(-) cells could not; CD133(+)cells strongly expressed CD133 and ALDH1 and CD133(-) cells did not. In mice, tumors generated by CD133(+) cells, but not by CD133(-) cells, positively expressed ALDH1.

CONCLUSIONSCD133(+) Colo205 colorectal cancer cells in SFM containing human recombinant EGF and bFGF can form tumor spheres and strongly express ALDH1. ALDH1 may be one of the candidate markers of colorectal cancer stem cells.

AC133 Antigen ; Animals ; Antigens, CD ; metabolism ; Cell Culture Techniques ; Cell Line, Tumor ; Colorectal Neoplasms ; metabolism ; Culture Media, Serum-Free ; Glycoproteins ; metabolism ; Humans ; Isoenzymes ; metabolism ; Mice ; Mice, Inbred NOD ; Mice, SCID ; Peptides ; metabolism ; Retinal Dehydrogenase ; metabolism

Wearable monitoring, which has the advantages of continuous monitoring for a long time with low physiological and psychological load, represents a future development direction of monitoring technology. Based on wearable physiological monitoring technology, combined with Internet of Things (IoT) and artificial intelligence technology, this paper has developed an intelligent monitoring system, including wearable hardware, ward Internet of Things platform, continuous physiological data analysis algorithm and software. We explored the clinical value of continuous physiological data using this system through a lot of clinical practices. And four value points were given, namely, real-time monitoring, disease assessment, prediction and early warning, and rehabilitation training. Depending on the real clinical environment, we explored the mode of applying wearable technology in general ward monitoring, cardiopulmonary rehabilitation, and integrated monitoring inside and outside the hospital. The research results show that this monitoring system can be effectively used for monitoring of patients in hospital, evaluation and training of patients' cardiopulmonary function, and management of patients outside hospital.
Humans ; Artificial Intelligence ; Internet of Things ; Wearable Electronic Devices ; Monitoring, Physiologic/methods* ; Electrocardiography ; Internet