| 1. |
- Durazzo, T. C., et al.
(författare)
-
History of cigarette smoking in cognitively-normal elders is associated with elevated cerebrospinal fluid biomarkers of oxidative stress
- 2014
-
Ingår i: Drug and Alcohol Dependence. - : Elsevier BV. - 0376-8716. ; 142, s. 262-268
-
Tidskriftsartikel (refereegranskat)abstract
- Background: Cigarette smoking in adults is associated with abnormalities in brain neurobiology. Smoking-induced central nervous system oxidative stress (OxS) is a potential mechanism associated with these abnormalities. The goal of this study was to compare cognitively-normal elders on cerebrospinal fluid (CSF) levels of F-2-isoprostane biomarkers of OxS. Methods: Elders with a lifetime history of smoking (smokers; n = 50; 75 +/- 5 years of age; 34 +/- 28 pack-years; approximately 12% were actively smoking at the time of study) were compared to never-smokers (n = 61; 76 +/- 6 years of age) on CSF iPF(2 alpha)-III and 8,12, iso-iPF(2 alpha)-VI F-2-isoprostanes levels. F-2-isoprostanes levels were quantitated with HPLC-atmospheric pressure chemical ionization-tandem mass spectrometry. Associations between F-2-isoprostanes levels, hippocampal volumes, and cigarette exposure measures were also evaluated. Results: Smokers showed higher iPF(2 alpha)-III level than never-smokers. An age x smoking status interaction was observed for 8,12, iso-iPF(2 alpha)-VI, where smokers demonstrate a significantly greater concentration with increasing age than never-smokers. In smokers only, higher 8,12, iso-iPF(2 alpha)-VI concentration was associated with smaller hippocampal volume, and greater iPF(2 alpha)-III level was related to greater pack years. Conclusions: This is the first study to demonstrate that a history of cigarette smoking in cognitively-normal elders was associated with significantly elevated CSF F-2-isoprostane levels and greater age-related increases in F-2-isoprostanes, and that higher F-2-isoprostane levels in smokers were related to smaller hippocampal volume. These findings provide additional novel evidence that a history of chronic smoking during adulthood is associated with adverse effects on the human brain that are potentially enduring even with extended smoking cessation.
|
|
| 2. |
- Trojanowski, John Q, et al.
(författare)
-
Update on the biomarker core of the Alzheimer's Disease Neuroimaging Initiative subjects.
- 2010
-
Ingår i: Alzheimer's & dementia : the journal of the Alzheimer's Association. - : Wiley. - 1552-5279. ; 6:3, s. 230-8
-
Forskningsöversikt (refereegranskat)abstract
- Here, we review progress by the Penn Biomarker Core in the Alzheimer's Disease Neuroimaging Initiative (ADNI) toward developing a pathological cerebrospinal fluid (CSF) and plasma biomarker signature for mild Alzheimer's disease (AD) as well as a biomarker profile that predicts conversion of mild cognitive impairment (MCI) and/or normal control subjects to AD. The Penn Biomarker Core also collaborated with other ADNI Cores to integrate data across ADNI to temporally order changes in clinical measures, imaging data, and chemical biomarkers that serve as mileposts and predictors of the conversion of normal control to MCI as well as MCI to AD, and the progression of AD. Initial CSF studies by the ADNI Biomarker Core revealed a pathological CSF biomarker signature of AD defined by the combination of Abeta1-42 and total tau (T-tau) that effectively delineates mild AD in the large multisite prospective clinical investigation conducted in ADNI. This signature appears to predict conversion from MCI to AD. Data fusion efforts across ADNI Cores generated a model for the temporal ordering of AD biomarkers which suggests that Abeta amyloid biomarkers become abnormal first, followed by changes in neurodegenerative biomarkers (CSF tau, F-18 fluorodeoxyglucose-positron emission tomography, magnetic resonance imaging) with the onset of clinical symptoms. The timing of these changes varies in individual patients due to genetic and environmental factors that increase or decrease an individual's resilience in response to progressive accumulations of AD pathologies. Further studies in ADNI will refine this model and render the biomarkers studied in ADNI more applicable to routine diagnosis and to clinical trials of disease modifying therapies.
|
|
