Objective:To investigate the neuroendocrine properties of adrenalcortical tumors.Methods: We retrospectively reviewed the clinical data of 99 adrenalcortical tumor patients,who were treated in Changzheng Hospital form June 1999 to June 2005.Expression of neuron specific enolase(NSE),chromogranin A(CgA) and synaptophysin(Syn) proteins were examined by immunohistochemistry(S-P method) using monoclonal antibodies.The general data of patients,including the age,symptoms,laboratory findings,and pathological types,were collected and subjected to statistical analysis with SAS v6.12 software.Results: The expression of all the above 3 proteins was found in adrenalcortical adenoma tissues,with the positive rate of NSE being 80%,the positive rate of CgA being 48.9%,and the positive rate of Syn being 75.6%;the positive rates in the adrenalcortical carcinoma tissues were 77.8%,22.2%,and 77.8%,respectively;and those in the normal adrenal tissues was 20%,0%,and 10%,respectively.The positive rates of 3 proteins in adrenalcortical tumors was significantly higher than those in the normal adrenal tissues(P

Objective To investigate the expressions of Ki67,p53,CKL,EMA,S-lOO,NSE,CgA,Syn,CEA and nm23 in adrenal tumors and their clinical significance.Methods Clinical data from 157 cases of adre-nal tumor patients were retrospectively reviewed including the clinical informa-tion and pathology data.Expressions of Ki67,p53,CKL,EMA,S-100,NSE,CgA,Syn,CEA and nm23 proteins were studied by immunohistochemistry(SP method)using monoclonal antibodies,and the relationship of their expressions with histopathologic type and clinical imformation was analyzed with SAS v6.12 software.A P value of＜0.05 was considered statistically significant.Results A increase of the expression rate of CKL,S-100,NSE,CgA,Syn and nm23 in adrenal tumors was obsered(P＜0.05).For univariate analysis,the expression of S-100,CgA,Syn was in connection with histopathologie types(P＜0.05).The expression of S-100,CgA,Syn had positive correlation with each other.The expression of CKL,S-100,NSE,CgA,Syn,nm-23 was no difference between adrnalbenign tumors and malignant tumors(P＞0.05),but it was much higher than in normal adrenal tissues(P＜0.05).The expression of Syn in adrenal cortical adenomaa was higher than in adrenal cortical cancers(P＜0.05),the expression of Ki67 in adrenal cortical adenomas was much lower than in adrenal cortical cancers(P＜0.05).The expression of EMA、CKL in adrenal cortical tumors were higher than in adrenal medullary tumors(P＜0.05),the expression of S-100,Syn,NSE,CgA in adrenal cortical tumors were lower than in adrenal medullary tumors(P＜0.05).Conclusions CKL,S-100,NSE,CgA,Syn and nm23 were good markers for adrenal tumors,they could be use for the adrenal tumors diagnosis.Detect Syn and Ki67 simutaneously was helpful to the diagnosis of adrenal cortical tumors.Detect EMA,CKL,S-100,Syn,NSE and CgA simultaneously and combine with clinical data was helpful to diagnosis between adrenal cortical tumors and adrenal medullay tumors.In malignant tumors,blood pressure had positive correlation with the expression of CgA,the size of tumor had neg-ative correlation of blood pressure,no prognostic factor was found.

Objective Wnt signaling plays an important role in the development and progression of renal cell carcinoma (RCC).This study aimed to evaluate the effects of the Wnt signaling inhibitor 15-oxospiramilactone on the proliferation , migration, cell apoptosis, and cycles of the human RCC cell line 786-0, and to investigate the possible mechanisms of this small molecule acting on RCC in ivtro. Methods We treated 786-0 cells with DMSO ( blank control group ) and 15-oxospiramilactone at the concentrations of1.25μmol/L (low 15 -OSL), 2.5μmol/L (medium 15-OSL), and 5μmol/L (high 15-OSL), respectively, for 72 hours.Then we observed the changes in the proliferation and migration of the 786-0 cells by MTT and scratch-wound assay and determined their apopto-sis and cycles by Annexin V-FITC/PI assay and flow cytometry . Results 15-oxospiramilactone significantly inhibited the growth of the 7860-cells, with the IC 50of 1.088 μmol/L at 72 hours, and decreased their migration distance (P<0.05).After 36 hours of treatment, the apoptosis rates of the 786-0 cells in the low, medium, and high 15-OSL groups were (12.17 ±0.56), (18.54 ± 1.07), and (50.74 ±1.28) %, respectively, significantly increased as compared with (7.85 ±0.42) %in the blank control group (P<0.05), and in an obviously concentration-dependent manner.15-oxospiramilactone remarkably reduced the number of cells in the G0/G1 phase and increased that in the G 2/M phase (P<0.05). Conclusion 15-oxospiramilactone can significantly inhibit the pro -liferation and migration and induce the apoptosis of 786-0cells in vitro.It may be a potential anti-RCC agent.

MicroRNA (miRNA) is a type of highly conserved nucleotide sequence composed of 18 to 25 nucleotides, which can specifically bind to the 3'-noncoding regions of mRNA, and then play a negative regulatory role in degrading mRNA or inhibiting translation. Long non-coding RNA (lncRNA) is a type of nucleotide sequence that exceeds 200 nucleotides in length and cannot encode proteins or can only encode protein peptides. It regulates gene expression at the levels of epigenetic, transcriptional and post-transcriptional. As an important energy storage organ, fat plays an important role in regulating the energy balance of animals, and is closely related to meat production traits such as meat production and meat quality. And the disorder of fat function can lead to hyperlipidemia, type 2 diabetes and a series of cardiovascular diseases, so the molecular regulation mechanism of animal fat deposition has attracted more attention. In recent years, more and more studies have found that miRNA and lncRNA play a crucial role in animal fat deposition. We review here the current research progresses in the role of miRNA and lncRNA in animal fat deposition, to provide theoretical guidance and new ideas for further revealing the molecular regulation mechanism of animal fat deposition.

Polysomnography (PSG) monitoring is an important method for clinical diagnosis of diseases such as insomnia, apnea and so on. In order to solve the problem of time-consuming and energy-consuming sleep stage staging of sleep disorder patients using manual frame-by-frame visual judgment PSG, this study proposed a deep learning algorithm model combining convolutional neural networks (CNN) and bidirectional gate recurrent neural networks (Bi GRU). A dynamic sparse self-attention mechanism was designed to solve the problem that gated recurrent neural networks (GRU) is difficult to obtain accurate vector representation of long-distance information. This study collected 143 overnight PSG data of patients from Shanghai Mental Health Center with sleep disorders, which were combined with 153 overnight PSG data of patients from the open-source dataset, and selected 9 electrophysiological channel signals including 6 electroencephalogram (EEG) signal channels, 2 electrooculogram (EOG) signal channels and a single mandibular electromyogram (EMG) signal channel. These data were used for model training, testing and evaluation. After cross validation, the accuracy was (84.0±2.0)%, and Cohen's kappa value was 0.77±0.50. It showed better performance than the Cohen's kappa value of physician score of 0.75±0.11. The experimental results show that the algorithm model in this paper has a high staging effect in different populations and is widely applicable. It is of great significance to assist clinicians in rapid and large-scale PSG sleep automatic staging.
Humans ; Polysomnography ; China ; Sleep Stages ; Sleep ; Algorithms