OBJECTIVE: To observe the pathological changes of major organs in rats with acute Dysosma versipellis poisoning and investigate the toxic mechanism and the injuries of target tissues and organs. METHODS: Forty Sprague-Dawley (SD) rats were randomly divided into three experimental groups, which were given the gavage with 0.5, 1.0 and 2.0 LDo doses of Dysosma versipellis decoction, and one control group, which was given the gavage with 1.0 LD0 dose of normal saline. The rats were sacrificed 14 days after Dysosma versipellis poisoning and samples including brain, heart, liver, lung, and kidney were taken. After pathological process, the pathological changes of the major organs and tissues were observed by light microscope and electron microscope. The experimental data were statistical analyzed by chi2 test. RESULTS: The observations of light microscopy: loose cytoplasm of neurons with loss of most Nissl bodies; swelling of myocardial cells with disappearance of intercalated disk and striations; hepatocellular edema with ballooning degeneration; and swelling epithelial cells of renal proximal convoluted tubule with red light coloring protein-like substances in the tube. The observations of electron microscopy: the structures of cell membrane and nuclear membrane of neurons were destroyed; cytoplasm of neurons, obvious edema; and most organelles, destroyed and disappeared. The mortalities of rats after acute poisoning of the four groups increased with doses (P < 0.05). CONCLUSION Acute Dysosma versipellis poisoning can cause multi-organ pathological changes. There is a positive correlation between the toxic effect and the dosage. The target tissues and organs are brain (neurons), heart, liver and kidney.
Animals ; Berberidaceae/poisoning* ; Brain/pathology* ; Dose-Response Relationship, Drug ; Female ; Kidney/pathology* ; Liver/pathology* ; Male ; Microscopy, Electron, Transmission ; Myocardium/pathology* ; Neurons/pathology* ; Plant Extracts/poisoning* ; Random Allocation ; Rats ; Rats, Sprague-Dawley

Objective To investigate the prognostic value of N6-methyladenosine(m6A)modifi-cation related genes and immune infiltration in colorectal cancer(CRC)and construct a risk model for predicting outcome of patients.Methods The transcriptome data and matched clinical information of CRC patients were downloaded from The Cancer Genome Atlas(TCGA)and Gene Expression Omni-bus(GEO)database.The prognostic value of m6A modification related genes and immune infiltration were investigated using the consensus clustering method and single sample gene set enrichment analy-sis.The weighted gene co-expression network analysis(WGCNA)was used to identify prognostic genes related with m6A modification and immune infiltration.Lasso regression analysis was used to construct a multi-gene risk model.The expression differences of prognostic genes identified were fur-ther validated through expression differential analysis in the Gene Expression Profiling Interactive Anal-ysis(GEPIA)database.Finally,the Kaplan-Meier was used to evaluate the predicting performance of the model in different subgroups and external validation cohorts.Results Both the m6A modification and immune infiltration phenotype could effectively stratify the prognosis of CRC patients from the TCGA cohort.Most m6A modification related genes were significantly correlated with immune infil-tration in CRC tissues.Four following prognostic genes were selected using the WGCNA method combined with Lasso regression analysis:intelectin-1,lymphocyte antigen 6 complex locus G6D,atonal homolog l and matrix metalloproteinase 28.In colorectal cancer tissues,the expression levels of lymphocyte antigen 6 complex locus G6D and matrix metalloproteinase 28 exhibited significant differences compared to adjacent non-cancerous tissues(P＜0.05).The risk model constructed based on the above prognostic genes can effectively identify the potential risk population with poor prognosis in different clinical subgroups of the TCGA cohort and the GEO validated cohort.Conclu-sion A risk model based on m6A modification and immune infiltration could effectively predict the clinical outcome of CRC patients,and related prognostic genes have potential to be developed as mo-lecular targets for CRC therapy.

Objective To investigate the prognostic value of N6-methyladenosine(m6A)modifi-cation related genes and immune infiltration in colorectal cancer(CRC)and construct a risk model for predicting outcome of patients.Methods The transcriptome data and matched clinical information of CRC patients were downloaded from The Cancer Genome Atlas(TCGA)and Gene Expression Omni-bus(GEO)database.The prognostic value of m6A modification related genes and immune infiltration were investigated using the consensus clustering method and single sample gene set enrichment analy-sis.The weighted gene co-expression network analysis(WGCNA)was used to identify prognostic genes related with m6A modification and immune infiltration.Lasso regression analysis was used to construct a multi-gene risk model.The expression differences of prognostic genes identified were fur-ther validated through expression differential analysis in the Gene Expression Profiling Interactive Anal-ysis(GEPIA)database.Finally,the Kaplan-Meier was used to evaluate the predicting performance of the model in different subgroups and external validation cohorts.Results Both the m6A modification and immune infiltration phenotype could effectively stratify the prognosis of CRC patients from the TCGA cohort.Most m6A modification related genes were significantly correlated with immune infil-tration in CRC tissues.Four following prognostic genes were selected using the WGCNA method combined with Lasso regression analysis:intelectin-1,lymphocyte antigen 6 complex locus G6D,atonal homolog l and matrix metalloproteinase 28.In colorectal cancer tissues,the expression levels of lymphocyte antigen 6 complex locus G6D and matrix metalloproteinase 28 exhibited significant differences compared to adjacent non-cancerous tissues(P＜0.05).The risk model constructed based on the above prognostic genes can effectively identify the potential risk population with poor prognosis in different clinical subgroups of the TCGA cohort and the GEO validated cohort.Conclu-sion A risk model based on m6A modification and immune infiltration could effectively predict the clinical outcome of CRC patients,and related prognostic genes have potential to be developed as mo-lecular targets for CRC therapy.