pubmed-article:11923192 | rdf:type | pubmed:Citation | lld:pubmed |
pubmed-article:11923192 | lifeskim:mentions | umls-concept:C0001811 | lld:lifeskim |
pubmed-article:11923192 | lifeskim:mentions | umls-concept:C0006104 | lld:lifeskim |
pubmed-article:11923192 | lifeskim:mentions | umls-concept:C1522053 | lld:lifeskim |
pubmed-article:11923192 | pubmed:issue | 3 | lld:pubmed |
pubmed-article:11923192 | pubmed:dateCreated | 2002-3-29 | lld:pubmed |
pubmed-article:11923192 | pubmed:abstractText | To examine molecular events associated with brain aging and its retardation by caloric restriction (CR), we have employed high-density oligonucleotide arrays providing data on 6347 genes to define transcriptional patterns in two brain regions (cerebellum and neocortex). Male C57BL/6 mice were either fed normally or subjected to CR. To investigate aging, 5 month (young adult) and 30 month-old normally fed mice were compared. To study CR, 30 month-old control and CR mice were compared. In both brain regions, aging resulted in a gene expression profile suggestive of a marked inflammatory response, oxidative stress and reduced neuronal plasticity and neurotrophic support. In the brain, CR selectively attenuated the age-associated induction of genes encoding inflammatory and stress responses. In addition to providing an improved understanding of the aging process, the use of DNA microarrays generates panels of hundreds of transcriptional biomarkers of molecular aging, providing a new tool to measure biological age on a tissue-specific basis. These studies suggest that genomic approaches may be useful in understanding the molecular basis of the aging process in experimental animals. | lld:pubmed |
pubmed-article:11923192 | pubmed:grant | http://linkedlifedata.com/r... | lld:pubmed |
pubmed-article:11923192 | pubmed:language | eng | lld:pubmed |
pubmed-article:11923192 | pubmed:journal | http://linkedlifedata.com/r... | lld:pubmed |
pubmed-article:11923192 | pubmed:citationSubset | IM | lld:pubmed |
pubmed-article:11923192 | pubmed:status | MEDLINE | lld:pubmed |
pubmed-article:11923192 | pubmed:month | Mar | lld:pubmed |
pubmed-article:11923192 | pubmed:issn | 0379-864X | lld:pubmed |
pubmed-article:11923192 | pubmed:author | pubmed-author:ProllaTomas... | lld:pubmed |
pubmed-article:11923192 | pubmed:issnType | Print | lld:pubmed |
pubmed-article:11923192 | pubmed:volume | 27 | lld:pubmed |
pubmed-article:11923192 | pubmed:owner | NLM | lld:pubmed |
pubmed-article:11923192 | pubmed:authorsComplete | Y | lld:pubmed |
pubmed-article:11923192 | pubmed:pagination | 299-306 | lld:pubmed |
pubmed-article:11923192 | pubmed:dateRevised | 2007-11-14 | lld:pubmed |
pubmed-article:11923192 | pubmed:meshHeading | pubmed-meshheading:11923192... | lld:pubmed |
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pubmed-article:11923192 | pubmed:meshHeading | pubmed-meshheading:11923192... | lld:pubmed |
pubmed-article:11923192 | pubmed:meshHeading | pubmed-meshheading:11923192... | lld:pubmed |
pubmed-article:11923192 | pubmed:year | 2002 | lld:pubmed |
pubmed-article:11923192 | pubmed:articleTitle | DNA microarray analysis of the aging brain. | lld:pubmed |
pubmed-article:11923192 | pubmed:affiliation | Departments of Genetics and Medical Genetics, University of Wisconsin, 445 Henry Mall, Madison, WI 53706, USA. | lld:pubmed |
pubmed-article:11923192 | pubmed:publicationType | Journal Article | lld:pubmed |
pubmed-article:11923192 | pubmed:publicationType | Research Support, U.S. Gov't, P.H.S. | lld:pubmed |
pubmed-article:11923192 | pubmed:publicationType | Research Support, Non-U.S. Gov't | lld:pubmed |
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