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- Chatterjee, P., et al.
(författare)
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Ultrasensitive Detection of Plasma Amyloid-beta as a Biomarker for Cognitively Normal Elderly Individuals at Risk of Alzheimer's Disease
- 2019
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Ingår i: Journal of Alzheimers Disease. - 1387-2877. ; 71:3, s. 775-783
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Tidskriftsartikel (refereegranskat)abstract
- Background: Aberrant amyloid-beta (A beta) deposition in the brain occurs two decades prior to the manifestation of Alzheimer's disease (AD) clinical symptoms and therefore brain A beta load measured using PET serves as a gold standard biomarker for the early diagnosis of AD. However, the uneconomical nature of PET makes blood markers, that reflect brain A beta deposition, attractive candidates for investigation as surrogate markers. Objective: Investigation of plasma A beta as a surrogate marker for brain A beta deposition in cognitively normal elderly individuals. Methods: Plasma A beta(40) and A beta(42) concentrations were measured using the ultrasensitive Single Molecule Array (Simoa) assay in 95 cognitively normal elderly individuals, who have all undergone PET to assess brain A beta deposition. Based on the standard uptake value ratios (SUVR) obtained from PET imaging, using the tracer F-18-Florbetaben, plasma A beta was compared between 32 participants assessed to have low brain A beta load (A beta-, SUVR <1.35) and 63 assessed to have high brain A beta load (A beta+, SUVR >= 1.35). Results: Plasma A beta(42)/A beta(40) ratios were lower in the A beta+ group compared to the A beta- group. Plasma A beta(40) and A beta(42) levels were not significantly different between A beta- and A beta+ groups, although a trend of higher plasma A beta(40) was observed in the A beta+ group. Additionally, plasma A beta(42)/A beta(40) ratios along with the known AD risk factors, age and APOE epsilon 4 status, resulted in A beta+ participants being distinguished from A beta- participants based on an area under the receiver operating characteristic curve shown to be 78%. Conclusion: Plasma A beta ratios in this study are a potential biomarker for brain A beta deposition and therefore, for preclinical AD. However, this method to measure plasma A beta needs further development to increase the accuracy of this promising AD blood biomarker.
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| 2. |
- Yuan, J., et al.
(författare)
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Elevated plasma sclerostin is associated with high brain amyloid-β load in cognitively normal older adults
- 2023
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Ingår i: Npj Aging. - 2731-6068. ; 9:1
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Tidskriftsartikel (refereegranskat)abstract
- Osteoporosis and Alzheimer's disease (AD) mainly affect older individuals, and the possibility of an underlying link contributing to their shared epidemiological features has rarely been investigated. In the current study, we investigated the association between levels of plasma sclerostin (SOST), a protein primarily produced by bone, and brain amyloid-beta (A ss) load, a pathological hallmark of AD. The study enrolled participants meeting a set of screening inclusion and exclusion criteria and were stratified into A ss(n = 65) and A ss+ (n = 35) according to their brain A ss load assessed using A ss-PET (positron emission tomography) imaging. Plasma SOST levels, apolipoprotein E gene (APOE) genotype and several putative AD blood-biomarkers including A ss 40, A ss 42, A ss 42/A ss 40, neurofilament light (NFL), glial fibrillary acidic protein (GFAP), total tau (t-tau) and phosphorylated tau (p-tau181 and p-tau231) were detected and compared. It was found that plasma SOST levels were significantly higher in the A ss+ group (71.49 +/- 25.00 pmol/L) compared with the A ss- group (56.51 +/- 22.14 pmol/L) (P < 0.01). Moreover, Spearman's correlation analysis showed that plasma SOST concentrations were positively correlated with brain A ss load (. = 0.321, P = 0.001). Importantly, plasma SOST combined with A ss 42/A ss 40 ratio significantly increased the area under the curve (AUC) when compared with using A ss 42/A ss 40 ratio alone (AUC = 0.768 vs 0.669, P = 0.027). In conclusion, plasma SOST levels are elevated in cognitively unimpaired older adults at high risk of AD and SOST could complement existing plasma biomarkers to assist in the detection of preclinical AD.
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