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001-es BibID:	BIBFORM083135
035-os BibID:	(cikkazonosító)68 (scopus)85078993240 (wos)000519243400011
Első szerző:	Bencze János (orvos)
Cím:	Lemur tyrosine kinase 2 (LMTK2) level inversely correlates with phospho-tau in neuropathological stages of Alzheimer's disease / János Bencze, Máté Szarka, Viktor Bencs, Renáta Nóra Szabó, László V. Módis, Dag Aarsland, Tibor Hortobágyi
Dátum:	2020
Megjegyzések:	Alzheimer's disease (AD) is the most common neurodegenerative dementia. Mapping the pathomechanism and providing novel therapeutic options have paramount significance. Recent studies have proposed the role of LMTK2 in AD. However, its expression pattern and association with the pathognomonic neurofibrillary tangles (NFTs) in different brain regions and neuropathological stages of AD is not clear. We performed chromogenic (CHR) LMTK2 and fluorescent phospho-tau/LMTK2 double-labelling (FDL) immunohistochemistry (IHC) on 10-10 post-mortem middle frontal gyrus (MFG) and anterior hippocampus (aHPC) samples with early and late neuropathological Braak tau stages of AD. MFG in early stage was our ♭endogenous control' region as it is not affected by NFTs. Semi-quantitative CHR-IHC intensity scoring revealed significantly higher (p<0.001) LMTK2 values in this group compared to NFT-affected regions. FDL-IHC demonstrated LMTK2 predominance in the endogenous control region, while phospho-tau overburden and decreased LMTK2 immunolabelling were detected in NFT-affected groups (aHPC in early and both regions in late stage). Spearman's correlation coefficient showed strong negative correlation between phospho-tau/LMTK2 signals within each group. According to our results LMTK2 expression is inversely proportionate to the extent of NFT pathology, as well as decreased LMTK2 level is not a general feature in AD brain, rather it is characteristic to the NFT-affected regions.
Tárgyszavak:	Orvostudományok Elméleti orvostudományok idegen nyelvű folyóiratközlemény külföldi lapban folyóiratcikk Alzheimer's disease LMTK2 neurodegeneration tau digital image analysis
Megjelenés:	Brain Sciences. - 10 : 2 (2020), p. 1-14. -
További szerzők:	Szarka Máté (1990-) Bencs Viktor (1995-) (orvos) Szabó Renáta Nóra Módis László V. (neurológus) Aarsland, Dag Hortobágyi Tibor (1965-) (patológus)
Pályázati támogatás:	EFOP-3.6.3-VEKOP-16-2017-00009 EFOP ÚNKP-19-3 Egyéb NAP (2017-1.2.1-NKP-2017-00002) Egyéb GINOP-2.3.2-15-2016-00043 GINOP ÚNKP-19-2 Egyéb
Internet cím:	Intézményi repozitóriumban (DEA) tárolt változat DOI
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