2021
DOI: 10.1016/j.arr.2021.101420
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Can platelet activation result in increased plasma Aβ levels and contribute to the pathogenesis of Alzheimer’s disease?

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Cited by 19 publications
(15 citation statements)
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“… 43 In fact, platelets are the primary source (≈90%) of Aβ peptides in human blood. 45 Insulin resistance can cause platelet hyperactivity, 46 which contributes to Aβ overproduction. 43 , 45 …”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“… 43 In fact, platelets are the primary source (≈90%) of Aβ peptides in human blood. 45 Insulin resistance can cause platelet hyperactivity, 46 which contributes to Aβ overproduction. 43 , 45 …”
Section: Discussionmentioning
confidence: 99%
“… 45 Insulin resistance can cause platelet hyperactivity, 46 which contributes to Aβ overproduction. 43 , 45 …”
Section: Discussionmentioning
confidence: 99%
“…By gene network function and molecular integration analyses, we classified the DEPs into the following 10 clusters: AD, platelet activation, neutrophil degranulation, VEGFA-VEGFR2 signaling pathway, EGF/EGFR signaling pathway, lipid metabolism pathway, fatty acid biosynthesis, glucagon signaling pathway, MAPK signaling pathway, and IL-18 signaling pathway (Figure 5, red represents increased, blue represents decreased, and the inner and outer circles represent platelets and TC brain regions), all of which were closely related to neurological diseases including AD. [21][22][23][24][25][26] We also observed that the AD-related molecules, including ADAM10, PPP3CB, RTN4, BAX, ITPR1, ITPR2, NDUFA13, FADD, RELA, TRAF2 and MAP4K2, SOS1, and ERBIN, were the most significantly enriched nodes (Figure 5). ADAM10 showed the highest connectivity in the whole pathway and a decreased consistency in the Together, the comprehensive integrative analysis of platelet and brain omics data demonstrated that the molecular changes in platelet can well reflect the pathological mechanism of the brain in AD patients, which provides high-confidence platelet targets for future large-scale validation in AD-related population (Figure 5), highlighting the key regulator role of HMOX2 and SERPINA3 in AD, as well as the potential diagnostic value of RTN1 and IDH3B.…”
Section: Integrated Bioinformatics and Machine Learning Establishes H...mentioning
confidence: 70%
“…By gene network function and molecular integration analyses, we classified the DEPs into the following 10 clusters: AD, platelet activation, neutrophil degranulation, VEGFA–VEGFR2 signaling pathway, EGF/EGFR signaling pathway, lipid metabolism pathway, fatty acid biosynthesis, glucagon signaling pathway, MAPK signaling pathway, and IL‐18 signaling pathway (Figure 5 , red represents increased, blue represents decreased, and the inner and outer circles represent platelets and TC brain regions), all of which were closely related to neurological diseases including AD. 21 , 22 , 23 , 24 , 25 , 26 …”
Section: Resultsmentioning
confidence: 99%
“…As one hallmark of cerebral I/R injury, BBB breakdown in the ischemic period is exacerbated by reperfusion and followed by a no-reflow phenomenon of capillaries ( Mohamed Mokhtarudin and Payne, 2015 ; Burrows et al, 2016 ; Huang et al, 2020 ). In addition to intracerebral Aβ retention caused by microcirculation disturbance, activated platelets contained in microthrombosis during the ischemic period and after I/R are demonstrated as the potential peripheral source of acute Aβ accumulation in blood vessels including capillaries and nearby brain tissues ( Martins et al, 2019 ; Carbone et al, 2021 ). Aβ accumulation in the brain can raise the formation of a toxic Aβ-like Aβ 1-42 oligomer, cause swelling in astrocytic endfeet, and also lead to dysregulation of capillaries by acting on pericytes, impairing energy supply for neurons ( Merlini et al, 2011 ; Cavallucci et al, 2012 ; Nortley et al, 2019 ).…”
Section: Introductionmentioning
confidence: 99%