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- Besson, H., et al.
(författare)
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A cross-sectional analysis of physical activity and obesity indicators in European participants of the EPIC-PANACEA study
- 2009
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Ingår i: International Journal of Obesity. - : Springer Science and Business Media LLC. - 1476-5497 .- 0307-0565. ; 33:4, s. 497-506
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Tidskriftsartikel (refereegranskat)abstract
- Objectives: Cross-sectional data suggest a strong association between low levels of physical activity and obesity. The EPIC-PANACEA ( European Prospective Investigation into Cancer-Physical Activity, Nutrition, Alcohol, Cessation of Smoking, Eating out of home And obesity) project was designed to investigate the associations between physical activity and body mass index (BMI) and waist circumference based on individual data collected across nine European countries. Methods: In the European Prospective Investigation into Cancer and Nutrition ( EPIC), 519 931 volunteers were recruited between 1992 and 2000, of whom 405 819 had data on main variables of interest. Height, body weight and waist circumference were measured using standardized procedures. Physical activity was assessed using a validated four-category index reflecting a self-reported usual activity during work and leisure time. The associations between physical activity and BMI and waist circumference were estimated using multilevel mixed effects linear regression models, adjusted for age, total energy intake, smoking status, alcohol consumption and educational level. Results: A total of 125 629 men and 280 190 women with a mean age of 52.9 (s.d. 9.7) and 51.5 (s.d. 10.0) years, respectively were included. The mean BMI was 26.6 kg/m(2) (s.d. 3.6) in men and 25.0 kg/m(2) (s.d. 4.5) in women. Fifty percent of men and 30% of women were categorized as being active or moderately active. A one-category difference in the physical activity index was inversely associated with a difference of 0.18 kg/m(2) in the mean BMI (95% confidence interval, CI, 0.11, 0.24) and 1.04-cm (95% CI 0.82, 1.26) difference in waist circumference in men. The equivalent figures for women were 0.31 kg/m(2) (95% CI 0.23, 0.38) and 0.90 cm ( 95% CI 0.71, 1.08), respectively. Conclusions: Physical activity is inversely associated with both BMI and waist circumference across nine European countries. Although we cannot interpret the association causally, our results were observed in a large and diverse cohort independently from many potential confounders.
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| 3. |
- Simonsen, A H, et al.
(författare)
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Amyloid beta1-40 quantification in CSF: comparison between chromatographic and immunochemical methods.
- 2007
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Ingår i: Dementia and geriatric cognitive disorders. - : S. Karger AG. - 1420-8008 .- 1421-9824. ; 23:4, s. 246-50
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Tidskriftsartikel (refereegranskat)abstract
- BACKGROUND/AIMS: Amyloid beta (Abeta) is the principal component of senile plaques, one of the hallmarks of Alzheimer's disease (AD). Evidence is accumulating that soluble aggregates (oligomers) of Abeta are important in the pathogenesis of AD. METHODS: We compared three different methods for quantification of the 40 amino acid form of Abeta (Abeta40) in CSF, two based on antibodies [ELISA and surface-enhanced laser desorption/ionization-time of flight (SELDI-TOF) with antibody-coated arrays] and one based on direct binding of proteins to a protein array [SELDI-TOF and immobilized metal affinity [copper] (IMAC30)]. RESULTS: CSF Abeta40 concentration was only found to be significantly elevated in AD (127% of control levels; p=0.0095) using SELDI-TOF with IMAC30 arrays. CONCLUSIONS: These data suggest that the measured Abeta level in CSF may differ depending on whether antibody-based methods are used or not, possibly caused by epitope masking due to Abeta oligomerization or to binding of Abeta to carrier proteins.
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| 4. |
- Simonsen, A H, et al.
(författare)
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Identification of a novel panel of cerebrospinal fluid biomarkers for Alzheimer's disease.
- 2008
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Ingår i: Neurobiology of aging. - : Elsevier BV. - 1558-1497 .- 0197-4580. ; 29:7, s. 961-8
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Tidskriftsartikel (refereegranskat)abstract
- An early and accurate diagnosis of Alzheimer's disease (AD) is required to initiate symptomatic treatment with currently approved drugs and will be of even greater importance if disease modifying compounds in development display a clinical effect. Protein profiles of human cerebrospinal fluid samples from AD patients (n=95) and population-based healthy controls (n=72) were analyzed by SELDI-TOF-MS in order to discover and characterize novel candidate biomarker combinations that differentiate AD patients from normal aging in this explorative study. Thirty candidate biomarkers (ROC AUC>0.7) were discovered that could differentiate patients with AD from healthy controls. Protein sequence determination and positive identification of 15 biomarkers revealed potential associations between the identified markers and AD pathogenesis. A multi-marker combination of five peaks could distinguish AD from healthy control individuals with high sensitivity (97%) and specificity (98%). The panel of five markers was tested on a blinded independent data set of 30 AD samples and 28 controls giving 100% sensitivity and 97% specificity. This novel panel of biomarkers could potentially be used to improve the accuracy of diagnosis of AD.
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