Objective To demonstrate simultaneously on transcription and translate levels the tyrosine-hydroxylase(and somatostatin)gene expression and peptide storage in same intrinsic cardiac ganglionic neuron of bufo bufo gargarizans. Methods Using immunohistochemical method,in situ hybrodization method and in situ hybrodization/immunohistochemical double labeling method on freeze-sections of sinus venanum cavanum of bufo bufo gargarizans atrial posterior wall (30*!?m)to observe THmRNA and /or TH-IR and SSmRNA and /or SS-IR dyeing neurons of intrinsic cardiac ganglia. Results There are kinds of positive neurons:1.TH-IR positive neurons;2.THmRNA positive neurons;3.TH mRNA/TH-IR double positive neurons and 1.SS-IR positive neurons;2.SSmRNA positive neurons;3.SSmRNA/SS-IR double positive neurons.Conclusion 1.TH mRNA and TH appearing in same intrinsic cardiac ganglionic neuron demonstrate that a part of intrinsic cardiac ganglionic neurons are possibly adrenergic sympathetic neurons;2.SSmRNA positive neurons and SSmRNA/SS-IR double positive neurons indicat that SS could be a neurotransmitter of intrincic cardiac ganglinic neurons.It provides neuroanatomy evidence of regulating cardiac function(excitatory conduct、cardiac muscle secrete and contract)by intrinsic cardiac SS-nergic neuron.

Objective To explore new ways of scientifically collecting and processing clinical information and improve the efficiency of computer management of electronic patient records for large intestinal tumors. Methods An elementalized and standardized analysis and decomposition was made of the information presented by cases of large intestinal tumors and AI aided tabular electronic patient records for large intestinal tumors were designed using the software of Microsoft Access 2000 and compared with the current Word file records. Results A computer management system of electronic patient records for large intestinal tumors was created, with the linkage of the record elements and the electronic tables of the database. Both the speed and quality of patient information input were markedly enhanced. Conclusion AI aided tabular electronic patient records for large intestinal tumors, which are faster and more exact than the Word file records, are beneficial for the speedy input, statistical analysis and AI aided management of clinical information.