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- Aad, G, et al.
(author)
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- 2015
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swepub:Mat__t
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- Ashton, Nicholas J., et al.
(author)
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A plasma protein classifier for predicting amyloid burden for preclinical Alzheimer's disease.
- 2019
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In: Science advances. - : American Association for the Advancement of Science (AAAS). - 2375-2548. ; 5:2
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Journal article (peer-reviewed)abstract
- A blood-based assessment of preclinical disease would have huge potential in the enrichment of participants for Alzheimer's disease (AD) therapeutic trials. In this study, cognitively unimpaired individuals from the AIBL and KARVIAH cohorts were defined as Aβ negative or Aβ positive by positron emission tomography. Nontargeted proteomic analysis that incorporated peptide fractionation and high-resolution mass spectrometry quantified relative protein abundances in plasma samples from all participants. A protein classifier model was trained to predict Aβ-positive participants using feature selection and machine learning in AIBL and independently assessed in KARVIAH. A 12-feature model for predicting Aβ-positive participants was established and demonstrated high accuracy (testing area under the receiver operator characteristic curve = 0.891, sensitivity = 0.78, and specificity = 0.77). This extensive plasma proteomic study has unbiasedly highlighted putative and novel candidates for AD pathology that should be further validated with automated methodologies.
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4. |
- Chatterjee, P., et al.
(author)
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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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In: Journal of Alzheimers Disease. - 1387-2877. ; 71:3, s. 775-783
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Journal article (peer-reviewed)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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- Villanueva-Perez, P., et al.
(author)
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Hard x-ray multi-projection imaging for single-shot approaches
- 2018
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In: Optica. - 2334-2536. ; 5:12, s. 1521-1524
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Journal article (peer-reviewed)abstract
- High-brilliance x-ray sources (x-ray free-electron lasers or diffraction-limited storage rings) allow the visualization of ultrafast processes in a 2D manner using single exposures. Current 3D approaches scan the sample using multiple exposures, and hence they are not compatible with single-shot acquisitions. Here we propose and verify experimentally an x-ray multi-projection imaging approach, which uses a crystal to simultaneously acquire nine angularly resolved projections with a single x-ray exposure. When implemented at high-brilliance sources, this approach can provide volumetric information of natural processes and non-reproducible samples in the micrometer to nanometer resolution range, and resolve timescales from microseconds down to femto-seconds.
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