Uncovering molecular biomarkers that correlate cognitive decline with the changes of hippocampus' gene expression profiles in Alzheimer's disease

Background: Alzheimer's disease (AD) is characterized by a neurodegenerative progression that alters cognition. On a phenotypical level, cognition is evaluated by means of the MiniMental State Examination (MMSE) and the post-morten examination of Neurofibrillary Tangle count (NFT) helps to conf...

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Autores principales: Gómez Ravetti, M., Rosso, O.A., Berretta, R., Moscato, P.
Formato: Artículo publishedVersion
Lenguaje:Inglés
Publicado: 2010
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Acceso en línea:http://hdl.handle.net/20.500.12110/paper_19326203_v5_n4_p_GomezRavetti
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spelling paperaa:paper_19326203_v5_n4_p_GomezRavetti2023-06-12T16:51:27Z Uncovering molecular biomarkers that correlate cognitive decline with the changes of hippocampus' gene expression profiles in Alzheimer's disease PLoS ONE 2010;5(4) Gómez Ravetti, M. Rosso, O.A. Berretta, R. Moscato, P. biological marker calcium early growth response factor epidermal growth factor receptor insulin Myc associated zinc finger protein phosphatidylinositol transcription factor transcription factor E2F1 unclassified drug Wnt protein zinc finger protein Alzheimer disease article bioinformatics calcium signaling clinical article cognitive defect controlled study disease course disease severity gene expression profiling gene expression regulation gene probe hippocampus human human tissue information science microarray analysis mini mental state examination nerve cell plasticity neurofibrillary tangle neurofilament sequence homology signal transduction Alzheimer Disease Biological Markers Cognition Disorders Computational Biology Gene Expression Profiling Hippocampus Humans Neuronal Plasticity Oligonucleotide Array Sequence Analysis Transcription Factors Background: Alzheimer's disease (AD) is characterized by a neurodegenerative progression that alters cognition. On a phenotypical level, cognition is evaluated by means of the MiniMental State Examination (MMSE) and the post-morten examination of Neurofibrillary Tangle count (NFT) helps to confirm an AD diagnostic. The MMSE evaluates different aspects of cognition including orientation, short-term memory (retention and recall), attention and language. As there is a normal cognitive decline with aging, and death is the final state on which NFT can be counted, the identification of brain gene expression biomarkers from these phenotypical measures has been elusive. Methodology/Principal Findings: We have reanalysed a microarray dataset contributed in 2004 by Blalock et al. of 31 samples corresponding to hippocampus gene expression from 22 AD subjects of varying degree of severity and 9 controls. Instead of only relying on correlations of gene expression with the associated MMSE and NFT measures, and by using modern bioinformatics methods based on information theory and combinatorial optimization, we uncovered a 1,372-probe gene expression signature that presents a high-consensus with established markers of progression in AD. The signature reveals alterations in calcium, insulin, phosphatidylinositol and wnt-signalling. Among the most correlated gene probes with AD severity we found those linked to synaptic function, neurofilament bundle assembly and neuronal plasticity. Conclusions/Significance: A transcription factors analysis of 1,372-probe signature reveals significant associations with the EGR/KROX family of proteins, MAZ, and E2F1. The gene homologous of EGR1, zif268, Egr-1 or Zenk, together with other members of the EGR family, are consolidating a key role in the neuronal plasticity in the brain. These results indicate a degree of commonality between putative genes involved in AD and prion-induced neurodegenerative processes that warrants further investigation. © 2010 Go ́mez Ravetti et al. 2010 info:eu-repo/semantics/article info:ar-repo/semantics/artículo info:eu-repo/semantics/publishedVersion application/pdf eng info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/2.5/ar http://hdl.handle.net/20.500.12110/paper_19326203_v5_n4_p_GomezRavetti
institution Universidad de Buenos Aires
institution_str I-28
repository_str R-134
collection Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA)
language Inglés
orig_language_str_mv eng
topic biological marker
calcium
early growth response factor
epidermal growth factor receptor
insulin
Myc associated zinc finger protein
phosphatidylinositol
transcription factor
transcription factor E2F1
unclassified drug
Wnt protein
zinc finger protein
Alzheimer disease
article
bioinformatics
calcium signaling
clinical article
cognitive defect
controlled study
disease course
disease severity
gene expression profiling
gene expression regulation
gene probe
hippocampus
human
human tissue
information science
microarray analysis
mini mental state examination
nerve cell plasticity
neurofibrillary tangle
neurofilament
sequence homology
signal transduction
Alzheimer Disease
Biological Markers
Cognition Disorders
Computational Biology
Gene Expression Profiling
Hippocampus
Humans
Neuronal Plasticity
Oligonucleotide Array Sequence Analysis
Transcription Factors
spellingShingle biological marker
calcium
early growth response factor
epidermal growth factor receptor
insulin
Myc associated zinc finger protein
phosphatidylinositol
transcription factor
transcription factor E2F1
unclassified drug
Wnt protein
zinc finger protein
Alzheimer disease
article
bioinformatics
calcium signaling
clinical article
cognitive defect
controlled study
disease course
disease severity
gene expression profiling
gene expression regulation
gene probe
hippocampus
human
human tissue
information science
microarray analysis
mini mental state examination
nerve cell plasticity
neurofibrillary tangle
neurofilament
sequence homology
signal transduction
Alzheimer Disease
Biological Markers
Cognition Disorders
Computational Biology
Gene Expression Profiling
Hippocampus
Humans
Neuronal Plasticity
Oligonucleotide Array Sequence Analysis
Transcription Factors
Gómez Ravetti, M.
Rosso, O.A.
Berretta, R.
Moscato, P.
Uncovering molecular biomarkers that correlate cognitive decline with the changes of hippocampus' gene expression profiles in Alzheimer's disease
topic_facet biological marker
calcium
early growth response factor
epidermal growth factor receptor
insulin
Myc associated zinc finger protein
phosphatidylinositol
transcription factor
transcription factor E2F1
unclassified drug
Wnt protein
zinc finger protein
Alzheimer disease
article
bioinformatics
calcium signaling
clinical article
cognitive defect
controlled study
disease course
disease severity
gene expression profiling
gene expression regulation
gene probe
hippocampus
human
human tissue
information science
microarray analysis
mini mental state examination
nerve cell plasticity
neurofibrillary tangle
neurofilament
sequence homology
signal transduction
Alzheimer Disease
Biological Markers
Cognition Disorders
Computational Biology
Gene Expression Profiling
Hippocampus
Humans
Neuronal Plasticity
Oligonucleotide Array Sequence Analysis
Transcription Factors
description Background: Alzheimer's disease (AD) is characterized by a neurodegenerative progression that alters cognition. On a phenotypical level, cognition is evaluated by means of the MiniMental State Examination (MMSE) and the post-morten examination of Neurofibrillary Tangle count (NFT) helps to confirm an AD diagnostic. The MMSE evaluates different aspects of cognition including orientation, short-term memory (retention and recall), attention and language. As there is a normal cognitive decline with aging, and death is the final state on which NFT can be counted, the identification of brain gene expression biomarkers from these phenotypical measures has been elusive. Methodology/Principal Findings: We have reanalysed a microarray dataset contributed in 2004 by Blalock et al. of 31 samples corresponding to hippocampus gene expression from 22 AD subjects of varying degree of severity and 9 controls. Instead of only relying on correlations of gene expression with the associated MMSE and NFT measures, and by using modern bioinformatics methods based on information theory and combinatorial optimization, we uncovered a 1,372-probe gene expression signature that presents a high-consensus with established markers of progression in AD. The signature reveals alterations in calcium, insulin, phosphatidylinositol and wnt-signalling. Among the most correlated gene probes with AD severity we found those linked to synaptic function, neurofilament bundle assembly and neuronal plasticity. Conclusions/Significance: A transcription factors analysis of 1,372-probe signature reveals significant associations with the EGR/KROX family of proteins, MAZ, and E2F1. The gene homologous of EGR1, zif268, Egr-1 or Zenk, together with other members of the EGR family, are consolidating a key role in the neuronal plasticity in the brain. These results indicate a degree of commonality between putative genes involved in AD and prion-induced neurodegenerative processes that warrants further investigation. © 2010 Go ́mez Ravetti et al.
format Artículo
Artículo
publishedVersion
author Gómez Ravetti, M.
Rosso, O.A.
Berretta, R.
Moscato, P.
author_facet Gómez Ravetti, M.
Rosso, O.A.
Berretta, R.
Moscato, P.
author_sort Gómez Ravetti, M.
title Uncovering molecular biomarkers that correlate cognitive decline with the changes of hippocampus' gene expression profiles in Alzheimer's disease
title_short Uncovering molecular biomarkers that correlate cognitive decline with the changes of hippocampus' gene expression profiles in Alzheimer's disease
title_full Uncovering molecular biomarkers that correlate cognitive decline with the changes of hippocampus' gene expression profiles in Alzheimer's disease
title_fullStr Uncovering molecular biomarkers that correlate cognitive decline with the changes of hippocampus' gene expression profiles in Alzheimer's disease
title_full_unstemmed Uncovering molecular biomarkers that correlate cognitive decline with the changes of hippocampus' gene expression profiles in Alzheimer's disease
title_sort uncovering molecular biomarkers that correlate cognitive decline with the changes of hippocampus' gene expression profiles in alzheimer's disease
publishDate 2010
url http://hdl.handle.net/20.500.12110/paper_19326203_v5_n4_p_GomezRavetti
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