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Sökning: L773:2352 8729 > (2021)

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  • Ashton, Nicholas J., et al. (författare)
  • Effects of pre-analytical procedures on blood biomarkers for Alzheimer's pathophysiology, glial activation, and neurodegeneration.
  • 2021
  • Ingår i: Alzheimer's & dementia (Amsterdam, Netherlands). - : Wiley. - 2352-8729. ; 13:1
  • Tidskriftsartikel (refereegranskat)abstract
    • We tested how tube types (ethylenediaminetetraacetic acid [EDTA], serum, lithium heparin [LiHep], and citrate) and freeze-thaw cycles affect levels of blood biomarkers for Alzheimer's disease (AD) pathophysiology, glial activation, and neuronal injury.Amyloid beta (Aβ)42, Aβ40, phosphorylated tau181 (p-tau181), glial fibrillary acidic protein, total tau (t-tau), neurofilament light, and phosphorylated neurofilament heavy protein were measured using single molecule arrays.LiHep demonstrated the highest mean value for all biomarkers. Tube types were highly correlated for most biomarkers (r>0.95) but gave significantly different absolute concentrations. Weaker correlations between tube types were found for Aβ42/40 (r=0.63-0.86) and serum t-tau (r=0.46-0.64). Freeze-thaw cycles highly influenced levels of serum Aβ and t-tau (P<.0001), and minor decreases in EDTA Aβ40 and EDTA p-tau181 were found after freeze-thaw cycle 4 (P<.05).The same tube type should be used in research studies on blood biomarkers. Individual concentration cut-offs are needed for each tube type in all tested biomarkers despite being highly correlated. Serum should be avoided for Aβ42, Aβ40, and t-tau. Freeze-thaw cycles>3 should be avoided for p-tau181.
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  • Dong, R., et al. (författare)
  • Csf metabolites associate with csf tau and improve prediction of alzheimer’s disease status
  • 2021
  • Ingår i: Alzheimer's and Dementia: Diagnosis, Assessment and Disease Monitoring. - : Wiley. - 2352-8729. ; 13:1
  • Tidskriftsartikel (refereegranskat)abstract
    • Introduction: Cerebrospinal fluid (CSF) total tau (t-tau) and phosphorylated tau (p-tau) are biomarkers of Alzheimer’s disease (AD), yet much is unknown about AD-associated changes in tau metabolism and tau tangle etiology. Methods: We assessed the variation of t-tau and p-tau explained by 38 previously identified CSF metabolites using linear regression models in middle-age controls from the Wisconsin Alzheimer’s Disease Research Center, and predicted AD/mild cognitive impairment (MCI) versus an independent set of older controls using metabolites selected by the least absolute shrinkage and selection operator (LASSO). Results: The 38 CSF metabolites explained 70.3% and 75.7% of the variance in t-tau and p-tau, respectively. Of these, seven LASSO-selected metabolites improved the prediction ability of AD/MCI versus older controls (area under the curve score increased from 0.92 to 0.97 and 0.78 to 0.93) compared to the base model. Discussion: These tau-correlated CSF metabolites increase AD/MCI prediction accuracy and may provide insight into tau tangle etiology. © 2021 The Authors.
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6.
  • Eckerström, Carl, et al. (författare)
  • Evaluation of the ATN model in a longitudinal memory clinic sample with different underlying disorders.
  • 2021
  • Ingår i: Alzheimer's & dementia. - : Wiley. - 2352-8729. ; 13:1
  • Tidskriftsartikel (refereegranskat)abstract
    • To evaluate the usefulness of the 2018 NIA-AA (National Institute on Aging and Alzheimer's Association) research framework in a longitudinal memory clinic study with different clinical outcomes and underlying disorders.We included 420 patients with mild cognitive impairment or subjective cognitive impairment. During the follow up, 27% of the patients converted to dementia, with the majority converting to Alzheimer's disease (AD) or mixed dementia. Based on the baseline values of the cerebrospinal fluid biomarkers, the patients were classified into one of the eight possible ATN groups (amyloid beta [Aβ] aggregation [A], tau aggregation reflecting neurofibrillary tangles [T], and neurodegeneration [N]).The majority of the patients converting to AD and mixed dementia were in ATN groups positive for A (71%). The A+T+N+ group was highly overrepresented among converters to AD and mixed dementia. Patients converting to dementias other than AD or mixed dementia were evenly distributed across the ATN groups.Our findings provide support for the usefulness of the ATN system to detect incipient AD or mixed dementia.
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  • Ennis, G. E., et al. (författare)
  • Insulin resistance is related to cognitive decline but not change in CSF biomarkers of Alzheimer's disease in non-demented adults
  • 2021
  • Ingår i: Alzheimer's & Dementia. - : Wiley. - 1552-5260 .- 1552-5279. ; 13:1
  • Tidskriftsartikel (refereegranskat)abstract
    • Introduction We investigated whether insulin resistance (IR) was associated with longitudinal age-related change in cognition and biomarkers of Alzheimer's disease (AD) pathology and neurodegeneration in middle-aged and older adults who were non-demented at baseline. Methods IR was measured with homeostatic model assessment of insulin resistance (HOMA2-IR). Core AD-related cerebrospinal fluid (CSF) biomarkers and cognition were assessed, respectively, on n = 212 (1 to 5 visits) and n = 1299 (1 to 6 visits). Linear mixed models tested whether HOMA2-IR moderated age-related change in CSF biomarkers and cognition. Linear regressions tested whether HOMA2-IR x apolipoprotein E epsilon 4 allele (APOE epsilon 4) carrier status predicted amyloid beta [A beta] chronicity (estimated duration of amyloid positron emission tomography [PET] positivity) (n = 253). Results Higher HOMA2-IR was associated with greater cognitive decline but not with changes in CSF biomarkers. HOMA2-IR x APOE4 was not related to A beta chronicity but was significantly associated with CSF phosphorylated tau (P-tau)(181)/A beta(42) level. Discussion In non-demented adults IR may not be directly associated with age-related change in AD biomarkers. Additional research is needed to determine mechanisms linking IR to cognitive decline.
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  • Fatima, Tahzeeb, et al. (författare)
  • Association between serum urate and CSF markers of Alzheimer's disease pathology in a population-based sample of 70-year-olds
  • 2021
  • Ingår i: Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring. - : Wiley. - 2352-8729. ; 13:1
  • Tidskriftsartikel (refereegranskat)abstract
    • Introduction: The relationship between urate and biomarkers for Alzheimer's disease (AD) pathophysiology has not been investigated. Methods: We examined whether serum concentration of urate was associated with cerebrospinal fluid biomarkers, amyloid beta (A beta)(42), A beta(40), phosphorylated tau (p-tau), total tau (t-tau), neurofilament light (NfL), and A beta(42)/A beta(40) ratio, in cognitively unimpaired 70-year-old individuals from Gothenburg, Sweden. We also evaluated whether possible associations were modulated by the apolipoprotein E (APOE) epsilon 4 allele. Results: Serum urate was positively associated with A beta(42) in males (beta = 0.55 pg/mL, P = .04). There was a positive urate-APOE epsilon 4 interaction (1.24 pg/mL, P-interaction = .02) in relation to A beta(42) association. The positive urate and A beta(42) association strengthened in male APOE epsilon 4 carriers (beta = 1.28 pg/mL, P = .01). Discussion: The positive association between urate and A beta(42) in cognitively healthy men may suggest a protective effect of urate against deposition of amyloid protein in the brain parenchyma, and in the longer term, maybe against AD dementia.
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  • Kamer, A. R., et al. (författare)
  • Periodontal dysbiosis associates with reduced csf aβ42 in cognitively normal elderly
  • 2021
  • Ingår i: Alzheimer's and Dementia: Diagnosis, Assessment and Disease Monitoring. - : Wiley. - 2352-8729. ; 13:1
  • Tidskriftsartikel (refereegranskat)abstract
    • Introduction: Periodontal disease is a chronic, inflammatory bacterial dysbiosis that is associated with both Alzheimer’s disease (AD) and Down syndrome. Methods: A total of 48 elderly cognitively normal subjects were evaluated for differences in subgingival periodontal bacteria (assayed by 16S rRNA sequencing) between cerebrospinal fluid (CSF) biomarker groups of amyloid and neurofibrillary pathology. A dysbiotic index (DI) was defined at the genus level as the abundance ratio of known periodontal bacteria to healthy bacteria. Analysis of variance/analysis of covariance (ANOVA/ANCOVA), linear discriminant effect-size analyses (LEfSe) were used to determine the bacterial genera and species differences between the CSF biomarker groups. Results: At genera and species levels, higher subgingival periodontal dysbiosis was associated with reduced CSF amyloid beta (Aβ)42 (P = 0.02 and 0.01) but not with P-tau. Discussion: We show a selective relationship between periodontal disease bacterial dysbiosis and CSF biomarkers of amyloidosis, but not for tau. Further modeling is needed to establish the direct link between oral bacteria and Aβ. © 2021 The Authors.
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