1.A Competitive RT-PCR to Study Apolipoprotein E Gene Gxpression in Adipose Cells
Wei XIANG ; Yanlin MA ; Shengmiao FU
Journal of Chinese Physician 2001;0(01):-
Objective To establish the method to detect the expression of apolipoprotein E gene in human adipose cells. Methods Apolipoprotein E gene expression was determined by competitive reverse transcription-PCR in adipose cells of healthy children. Results Apolipoprotein E gene expressed in the adipose cells of healthy children. The mean expression quantity of apolipoprotein E mRNA in adipose cells was (0.41?0.12 ) in healthy children. Conclusions Competitive reverse transcription-PCR is a rapid, simple, sensitive and accurate method to analyze expression of apolipoprotein E gene.
2.High fat diet influence on vitamin D receptor expression and endothelial nitric oxide synthase in apolipoprotein E-deficient mice
Wei XIANG ; Xiaojie HE ; Yanlin MA ; Zhuwen YI ; Yan CAO ; Shuiping ZHAO ; Jinfu YANG ; Zhichao MA ; Ming WU ; Shengmiao FU ; Jianlin MA ; Jie WANG ; Wei ZHENG ; Hong KANG
Journal of Chinese Physician 2011;13(4):433-436,440
Objective This study investigated high fat diet influence on the changes of vitamin D receptor (VDR) expression and endothelial nitric oxide synthase (eNOS) in apolipoprotein E-deficient(apoE-/-) mice.MethodsApoE-/- mice and C57BLP6J mice were divide into two groups (normal control and high fat diet),high fat diet group were feed high fat feedstuff.Plasma 25-(OH)D levels were determined by competitive protein binding radioimmunity,VDR expression were determined by immunofluorescence and reverse transcription-polymerase chain reaction.The levels of NO and eNOS were determined by nitrate reductase.ResultsCompared with normal control group,high fat diet caused more severe dam-age of atherosclerosis in wild type mice and apoE-/- mice.In apoE-/- mice,the levels of plasma 25-(OH)D were significantly decreased [(26.44±1.28) ng/mL,(22.68±2.07)ng/mL,(17.46±2.22)ng/mL,(15.88±0.97)ng/mL,P<0.01],the expression of VDR protein and mRNA were significantly increased[VDR :0.244±0.088,0.346±0.132,0.547±0.128,0.768±0.162;VDRmRNA:0.228±0.083,0.375±0.103,0.451±0.117,0.597±0.131,P<0.01],and the levels of NO and eNOS were significantly increased[NO:(39.74±4.81)μmol/L,(48.1±5.24 )μmol/L,(67.34±6.14 )μmol/L,(86.74±8.05)μmol/L;eNOS:(8.6±0.77 )U/L,(12.28±1.42)U/L,(15.96±0.92)U/L,(18.68±1.15)U/L,P<0.01].These changes were more significantly in high fat diet group(P<0.01).ConclusionsThere were abnormalities of plasma 25-(OH)D level,VDR expression and the level of NO and eNOS in apoE-/- mice.These changes were more significantly in high fat diet group.
3.Cancer-related fatigue in patients with advanced malignant tumours:current status and influencing factors
Pei WANG ; Chao SUN ; Huixiu HU ; Shaohua GONG ; Yajie ZHAO ; Shengmiao MA
Modern Clinical Nursing 2024;23(1):8-13
Objective To investigate the status quo of cancer-related fatigue(CRF)in patients with advanced malignant tumours during anti-tumour treatment,and explore the influencing factors so as to provide a reference for nursing intervention.Methods Between January and August 2022,a total of 279 patients with advanced malignant tumours who received anti-tumour therapies in the Department of Oncology of a general hospital in Beijing were selected as study subjects using convenience sampling method.General data questionnaire,cancer fatigue scale,chemotherapy-related gastrointestinal symptoms inventory,and nutritional risk screening 2002 were used for the investigation.Logistic regression analysis was conducted to determine the influencing factors of cancer-related fatigue.Results Toally 279 patients finished the study.A total of 204(73.12%)patients had cancer-related fatigue.Binary logistic regression analysis showed that BMI,education,monthly family income and diabetes were the influencing factors in cancer-related fatigue(all P<0.05).Conclusions The incidence of cancer-related fatigue is high in patients with advanced malignant tumours during anti-tumour therapy.Low BMI,poor education,low monthly family income and diabetes are the risk factors in cancer-related fatigue.Targeted interventions should be implemented based on the risk factors so as to reduce the incidence of cancer-related fatigue.