Insights into the changes in the proteome of Alzheimer disease elucidated by a meta-analysis
(2021) In Scientific Data 8(1).- Abstract
Mass spectrometry (MS)-based proteomics is a powerful tool to explore pathogenic changes of a disease in an unbiased manner and has been used extensively in Alzheimer disease (AD) research. Here, by performing a meta-analysis of high-quality proteomic studies, we address which pathological changes are observed consistently and therefore most likely are of great importance for AD pathogenesis. We retrieved datasets, comprising a total of 21,588 distinct proteins identified across 857 postmortem human samples, from ten studies using labeled or label-free MS approaches. Our meta-analysis findings showed significant alterations of 757 and 1,195 proteins in AD in the labeled and label-free datasets, respectively. Only 33 proteins, some of... (More)
Mass spectrometry (MS)-based proteomics is a powerful tool to explore pathogenic changes of a disease in an unbiased manner and has been used extensively in Alzheimer disease (AD) research. Here, by performing a meta-analysis of high-quality proteomic studies, we address which pathological changes are observed consistently and therefore most likely are of great importance for AD pathogenesis. We retrieved datasets, comprising a total of 21,588 distinct proteins identified across 857 postmortem human samples, from ten studies using labeled or label-free MS approaches. Our meta-analysis findings showed significant alterations of 757 and 1,195 proteins in AD in the labeled and label-free datasets, respectively. Only 33 proteins, some of which were associated with synaptic signaling, had the same directional change across the individual studies. However, despite alterations in individual proteins being different between the labeled and the label-free datasets, several pathways related to synaptic signaling, oxidative phosphorylation, immune response and extracellular matrix were commonly dysregulated in AD. These pathways represent robust changes in the human AD brain and warrant further investigation.
(Less)
- author
- organization
- publishing date
- 2021
- type
- Contribution to journal
- publication status
- published
- subject
- in
- Scientific Data
- volume
- 8
- issue
- 1
- article number
- 312
- publisher
- Nature Publishing Group
- external identifiers
-
- scopus:85120913808
- pmid:34862388
- ISSN
- 2052-4463
- DOI
- 10.1038/s41597-021-01090-8
- language
- English
- LU publication?
- yes
- id
- 96283117-09a7-4603-ab95-6b326bdbed69
- date added to LUP
- 2022-01-27 12:51:33
- date last changed
- 2024-09-22 09:39:56
@article{96283117-09a7-4603-ab95-6b326bdbed69, abstract = {{<p>Mass spectrometry (MS)-based proteomics is a powerful tool to explore pathogenic changes of a disease in an unbiased manner and has been used extensively in Alzheimer disease (AD) research. Here, by performing a meta-analysis of high-quality proteomic studies, we address which pathological changes are observed consistently and therefore most likely are of great importance for AD pathogenesis. We retrieved datasets, comprising a total of 21,588 distinct proteins identified across 857 postmortem human samples, from ten studies using labeled or label-free MS approaches. Our meta-analysis findings showed significant alterations of 757 and 1,195 proteins in AD in the labeled and label-free datasets, respectively. Only 33 proteins, some of which were associated with synaptic signaling, had the same directional change across the individual studies. However, despite alterations in individual proteins being different between the labeled and the label-free datasets, several pathways related to synaptic signaling, oxidative phosphorylation, immune response and extracellular matrix were commonly dysregulated in AD. These pathways represent robust changes in the human AD brain and warrant further investigation.</p>}}, author = {{Haytural, Hazal and Benfeitas, Rui and Schedin-Weiss, Sophia and Bereczki, Erika and Rezeli, Melinda and Unwin, Richard D. and Wang, Xusheng and Dammer, Eric B. and Johnson, Erik C.B. and Seyfried, Nicholas T. and Winblad, Bengt and Tijms, Betty M. and Visser, Pieter Jelle and Frykman, Susanne and Tjernberg, Lars O.}}, issn = {{2052-4463}}, language = {{eng}}, number = {{1}}, publisher = {{Nature Publishing Group}}, series = {{Scientific Data}}, title = {{Insights into the changes in the proteome of Alzheimer disease elucidated by a meta-analysis}}, url = {{http://dx.doi.org/10.1038/s41597-021-01090-8}}, doi = {{10.1038/s41597-021-01090-8}}, volume = {{8}}, year = {{2021}}, }