大鼠成骨细胞增殖及护骨素蛋白含量与甲状旁腺激素的调节效应

目的:体外观察甲状旁腺激素对大鼠成骨细胞增殖和护骨素分泌的调节作用。方法:实验于2005-06/2006-05在四川大学华西医院生物治疗国家重点实验室干细胞与组织工程研究室完成。采用酶消化法和骨组织块法联合分离培养新生SD大鼠颅骨成骨细胞,间歇加药方法将不同浓度0,10-6,10-7,10-8,10-9mol/L甲状旁腺激素作用于大鼠成骨细胞(0mol/L作为空白对照组),经碱性磷酸酶染色及钙结节茜素红染色证实培养的成骨细胞后,采用四甲基偶氮唑盐比色法检测细胞增殖能力,蛋白免疫印迹测定护骨素的分泌量。结果:①成骨细胞的形态变化:倒置相差显微镜下可见培养的成骨细胞呈短梭形、三角形和多边形。碱性磷酸酶染色光镜下可见成骨细胞胞浆中分布特征性蓝紫色细颗粒;成骨细胞的钙结节在镜下可见部分细胞聚集一起呈"集落状"生长。②成骨细胞增殖率:10-6～10-9mol/L浓度甲状旁腺激素对成骨细胞增殖均显示刺激作用,与空白对照组相比,差异显著(P<0.05),增殖率以10-8mol/L甲状旁腺激素组最高。③成骨细胞护骨素的表达:甲状旁腺激素下调成骨细胞中护骨素的分泌,与空白对照组相比,10-6mol/L甲状旁腺激素组抑制作用最明显(P<0.01),无显著剂量依赖性。结论:甲状旁腺激素对体外培养成骨细胞的增殖具有明显促进作用,通过下调成骨细胞中护骨素的分泌,促进破骨细胞生成、活化,促进骨吸收。     

一氧化氮外源性供体L-arginine对破骨细胞骨吸收功能的影响

目的:一氧化氮在维持机体多个系统的生理功能中起重要作用,许多慢性疾病可造成一氧化氮产生减少,此时一氧化氮供体是一种必要的补充。观察一氧化氮外源性供体L-arginine对体外培养破骨细胞增殖及骨吸收功能的影响。方法:实验于2005-06/2006-05在四川大学华西医院生物治疗国家重点实验室干细胞与组织工程研究室完成。选择出生1d的清洁级SD大鼠乳鼠,采用骨髓诱导法体外培养破骨细胞,培养液内分别加入0.3,0.6,1.0g/L不同浓度的L-arginine,并以等体积三蒸水作为对照。培养7d后,以抗酒石酸酸性磷酸酶染色观察破骨细胞数目、形态,MIAS-2000图像分析仪检测骨片上骨吸收陷窝的数目和面积,并用扫描电镜观察不同浓度L-arginine对骨吸收陷窝的影响。结果:①破骨细胞的一般形态:破骨细胞较其他细胞大,形态不规则,呈油煎蛋形、长条形、腊肠形或漏斗形等,细胞内可见几个至几十个核不等。抗酒石酸酸性磷酸酶染色酶活性部分酒红色,颗粒状。②抗酒石酸酸性磷酸酶阳性细胞数:各组破骨细胞数目随着L-arginine浓度增加而减少(P<0.05)。③骨吸收陷窝的面积和数目:骨片培养7d,吸收陷窝计数的结果显示,0.3g/L以上浓度L-arginine对破骨细胞吸收功能均有明显抑制作用,并呈剂量相关性。0.3g/LL-arginine组陷窝面积为对照组的91%(P<0.05),0.6g/LL-arginine组为对照组的80%(P<0.05),1.0g/LL-arginine组为对照组的69%(P<0.01)。结论:采用骨髓诱导法培养的破骨细胞数量多、纯度高,且具有明显的骨吸收功能。L-arginine抑制破骨细胞增殖,抑制破骨细胞骨吸收功能,并呈剂量相关性。     

Truncal fat in relation to total body fat: influences of age, sex, ethnicity and fatness

OBJECTIVE: To investigate the influence of age, sex, ethnicity and total fatness on central obesity in four ethnic populations. DESIGN: Cross-sectional analysis of study subjects enrolled from 1993 to 2005. SUBJECTS: A multi-ethnic (Caucasian (CA), African-American (AA), Hispanic-American (HA) and Asian (As)) convenience sample of 604 men and 1192 women (aged 18-96 years, body mass index 15.93-45.80 kg/m(2)). MEASUREMENTS: Total body fat (TBF) and truncal fat were measured by dual-energy X-ray absorptiometry. General linear regression models were used to test for independent associations with log(10)-transformed truncal fat. RESULTS: For all ethnicities, men had a lower percent body fat and more truncal fat than women. Log(10-)transformed truncal fat increased with TBF approximately as a square root function. At older ages, there was a greater amount of truncal fat in CA, HA and As men (approximately 0.20-0.25 kg/decade) with the effect more pronounced in AA men ( approximately 0.33 kg/decade). For women, the increment of truncal fat per decade was reduced in CA and AA women (approximately 0.07 kg) compared with As and HA women (approximately 0.33 kg). Adjusted for mean values of covariates in our sample, AA had less truncal fat than As. CONCLUSION: The accumulation of truncal fat is strongly related to age, ethnicity and total fatness in both men and women.     

Truncal Adiposity and Lung Function in Older Black Women

The increase in adiposity associated with aging is a concern in older adults, especially as it relates to the risk for ventilatory complications. Therefore, the specific aim of this study was to determine the association of various measures of abdominal adiposity with lung function in a sample of older healthy Black women. Participants (n = 27) had no history of diabetes or respiratory disease. The mean age was 67 years. Lung function was measured by spirometry using percent of predicted values for forced vital capacity (FVC) and forced expiratory volume in 1 second (FEV₁). Body fat was measured using a three-dimensional photonic scanner and dual energy X-ray absorptiometry (DXA). Correlation analyses show that percent body fat in the trunk (%TF) is significantly associated with percent predicted FVC (r = −0.38; p < 0.05). No association was observed between anthropometric indices of truncal adiposity and lung function. Results of this study show that truncal fat mass measured by DXA is more strongly associated with lung function than anthropometric indices of truncal adiposity in this sample of women.     

Visceral adipose tissue: relationships between single slice areas at different locations and obesity-related health risks

BACKGROUND: Visceral adipose tissue (VAT) is widely recognized as conveying the highest health risk in humans among the currently measurable adipose tissue compartments. A recent study indicated that the traditionally measured VAT area at L(4)-L(5) is not the VAT area with the highest correlation with total VAT volume. At present, it is unknown whether the area with the highest correlation is also the most strongly associated with obesity-related health risk. OBJECTIVE: The study aim was to establish which VAT slice area(s) are most strongly associated with obesity-related health risk indicators. DESIGN: The subjects were a convenience sample of healthy adults who completed whole-body magnetic resonance imaging (MRI) scans. The correlations, with appropriate adjustments, were examined between individual MRI slice VAT areas and fasting serum/plasma triglycerides (TG), high-density lipoprotein cholesterol (HDL), glucose, insulin and blood pressure. RESULTS: The sample consisted of 283 healthy men (age (mean+/-s.d.) 41.9+/-15.8 years; BMI, 26.0+/-3.2 kg/m(2); VAT, 2.7+/-1.8 L) and 411 women (age, 48.1+/-18.7 years; BMI 27.0+/-5.4 kg/m(2); VAT, 1.7+/-1.2 L). After adjusting for age, race, menopause status, scan position and specific blood analysis laboratory, VAT area at L(4)-L(5) had lower correlations with most metabolic risk factors including serum/plasma TG, HDL, glucose, insulin and blood pressure than VAT volume in both men and women. The VAT areas 10 and 15 cm above L(4)-L(5) in men had higher or equal correlations with health risk measures than VAT volume. In women, the VAT area 5 cm above or below L(4)-L(5) and total VAT volume had similar correlations with health risk measures. CONCLUSIONS: An appropriately selected single slice VAT area is an equally reliable phenotypic marker of obesity-related health risk as total VAT volume. However, in both men and women the VAT slice area at the traditional L(4)-L(5) level is not the best marker of obesity-related health risk.     

Analysis of two new leukemia-associated antigens detected on human T- cell acute lymphoblastic leukemia using monoclonal antibodies

Two monoclonal antibodies (anti-3-3 and anti-3-40) were produced, which identify two new leukemia-associated antigens. Both antibodies reacted with most cell lines derived from patients with T lymphoblastic leukemia (T-ALL), but were not detected on suspensions of normal hematopoietic cells (including thymocytes) by cytotoxicity, absorption, or indirect immunofluorescence assays. Analysis of fresh leukemic cells indicated that anti-3-3 only reacted with T-ALL cells, while anti-3-40 also reacted with some non-T, non-B ALL cells and a few acute myelocytic leukemia (AML) cells. The 3-40 antigen was also found histopathologically in frozen sections of several normal tissues, including the epithelial cells and a few lymphoid cells of the thymus, and some malignant tissues. The 3-3 antigen was not found in any tissue studied. A "double absorption"assay provided additional serologic evidence that the two antibodies identify different antigenic determinants. Biochemical analysis indicated that the molecules immunoprecipitated by anti-3-3 and anti-3-40 have molecular weights of 35,000-40,000 daltons. This study demonstrated that the 3-3 and 3-40 antigens are markers for human T-ALL and can be used along with the normal T-lymphocyte antigen, 3A1, to discriminate T-ALL from cutaneous T-cell lymphoma (CTCL), adult T-cell leukemia (ATL), and T-cell chronic lymphocytic leukemia (T-CLL).     

Sleeping metabolic rate in relation to body mass index and body composition

OBJECTIVES: To determine whether patterns of sleeping metabolic rate (SMR) are altered in obesity. Specifically to determine the relationship between changes in SMR and body weight, body mass index (BMI, kg/m(2)), and fat-free mass (FFM); and to compare resting metabolic rate (RMR) with SMR during different periods of sleep. SUBJECTS: Eighteen healthy, pre-menopausal, obese (BMI >30, n=9) and non-obese (BMI <30, n=9), female subjects (six Caucasians and 12 African-Americans), with an average age of 36 y (range 22-45). MEASUREMENTS: Total energy expenditure (TEE or 24 h EE), metabolic rate (MR), SMR (minimum, average and maximum) and resting metabolic rate (RMR) or resting energy expenditure (REE) measured by human respiratory chamber, and external mechanical work measured by a force platform within the respiratory chamber. Physical activity index (PAL) was derived as TEE/REE. Body composition was determined by dual-energy X-ray absorptiometry (DXA). RESULTS: SMR decreased continuously during sleep and reached its lowest point just before the subject was awakened in the morning by the research staff. Although averages for RMR and SMR were similar, RMR was lower than SMR at the beginning of the sleeping period and higher than SMR in the morning hours. The rate of decrease in SMR was faster with increasing body weight (-0.829, P<0.0001), BMI (correlation factor -0.896, P<0.0001) and FFM (-0.798, P=0.001). The relationship between the slope of SMR decrease and BMI (y=-5 x 10(-6)x(2)+0.0002x-0.0028) is highly significant, with a P-value of <0.0001 and r(2) value of 0.9622. CONCLUSIONS: The rate of decline in metabolic rate during sleep is directly related to body weight, BMI and FFM. Average SMR tends to be lower than RMR in obese subjects and higher than RMR in non-obese subjects.     

Effect of weight loss with lifestyle intervention on risk of diabetes

OBJECTIVE: Diabetes Prevention Program (DPP) participants randomized to the intensive lifestyle intervention (ILS) had significantly reduced risk of diabetes compared with placebo participants. We explored the contribution of changes in weight, diet, and physical activity on the risk of developing diabetes among ILS participants. RESEARCH DESIGN AND METHODS: For this study, we analyzed one arm of a randomized trial using Cox proportional hazards regression over 3.2 years of follow-up. RESULTS: A total of 1,079 participants were aged 25-84 years (mean 50.6 years, BMI 33.9 kg/m(2)). Weight loss was the dominant predictor of reduced diabetes incidence (hazard ratio per 5-kg weight loss 0.42 [95% CI 0.35-0.51]; P < 0.0001). For every kilogram of weight loss, there was a 16% reduction in risk, adjusted for changes in diet and activity. Lower percent of calories from fat and increased physical activity predicted weight loss. Increased physical activity was important to help sustain weight loss. Among 495 participants not meeting the weight loss goal at year 1, those who achieved the physical activity goal had 44% lower diabetes incidence. CONCLUSIONS: Interventions to reduce diabetes risk should primarily target weight reduction.