Repozitorij Univerze v Novi Gorici

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Naslov:Identification of clusters of rapid and slow decliners among subjects at risk for Alzheimer’s disease
Avtorji:ID Gamberger, Dragan (Avtor)
ID Lavrač, Nada (Avtor)
ID Srivatsa, Shantanu (Avtor)
ID Tanzi, Rudolph E. (Avtor)
ID Doraiswamy, Murali (Avtor)
Datoteke:.pdf publisheds41598-017-06624-y.pdf (1,78 MB)
MD5: 78A6009CC34D2A46C4FCEF1CAF7F3FF7
 
Jezik:Angleški jezik
Vrsta gradiva:Delo ni kategorizirano
Tipologija:1.01 - Izvirni znanstveni članek
Organizacija:UNG - Univerza v Novi Gorici
Opis:The heterogeneity of Alzheimer’s disease contributes to the high failure rate of prior clinical trials. We analyzed 5-year longitudinal outcomes and biomarker data from 562 subjects with mild cognitive impairment (MCI) from two national studies (ADNI) using a novel multilayer clustering algorithm. The algorithm identified homogenous clusters of MCI subjects with markedly different prognostic cognitive trajectories. A cluster of 240 rapid decliners had 2-fold greater atrophy and progressed to dementia at almost 5 times the rate of a cluster of 184 slow decliners. A classifier for identifying rapid decliners in one study showed high sensitivity and specificity in the second study. Characterizing subgroups of at risk subjects, with diverse prognostic outcomes, may provide novel mechanistic insights and facilitate clinical trials of drugs to delay the onset of AD.
Ključne besede:Alzheimer's disease, Rapid decliners, Data clustering, Mild cognitive impairment
Verzija publikacije:Objavljena publikacija
Leto izida:2017
Št. strani:12
Številčenje:7
PID:20.500.12556/RUNG-3207-b1067889-a6a1-e90e-c5bf-30ae123e7ad0 Novo okno
COBISS.SI-ID:4875771 Novo okno
DOI:10.1038/s41598-017-06624-y Novo okno
NUK URN:URN:SI:UNG:REP:BJNEUWDE
Datum objave v RUNG:17.08.2017
Število ogledov:4233
Število prenosov:349
Metapodatki:XML RDF-CHPDL DC-XML DC-RDF
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Gradivo je del revije

Naslov:Scientific Reports
Založnik:Nature
Leto izida:2017
ISSN:2045-2322

Gradivo je financirano iz projekta

Financer:ARRS - Agencija za raziskovalno dejavnost Republike Slovenije
Naslov:program "Knowledge Technologies" in projekt "Development and Applications of New Semantic Data Mining Methods in Life Sciences"

Licence

Licenca:CC BY-NC-ND 4.0, Creative Commons Priznanje avtorstva-Nekomercialno-Brez predelav 4.0 Mednarodna
Povezava:http://creativecommons.org/licenses/by-nc-nd/4.0/deed.sl
Opis:Najbolj omejujoča licenca Creative Commons. Uporabniki lahko prenesejo in delijo delo v nekomercialne namene in ga ne smejo uporabiti za nobene druge namene.
Začetek licenciranja:14.08.2017

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