{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,18]],"date-time":"2026-09-18T11:56:00Z","timestamp":1789732560357,"version":"4.0.1"},"reference-count":0,"publisher":"SAGE Publications","issue":"4","license":[{"start":{"date-parts":[[2011,5,30]],"date-time":"2011-05-30T00:00:00Z","timestamp":1306713600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Journal of Alzheimer\u2019s Disease"],"published-print":{"date-parts":[[2011,5,30]]},"abstract":"<jats:p>The identification of early and stage-specific biomarkers for Alzheimer's disease (AD) is critical, as the development of disease-modification therapies may depend on the discovery and validation of such markers. The identification of early reliable biomarkers depends on the development of new diagnostic algorithms to computationally exploit the information in large biological datasets. To identify potential biomarkers from mRNA expression profile data, we used the Logic Mining method for the unbiased analysis of a large microarray expression dataset from the anti-NGF AD11 transgenic mouse model. The gene expression profile of AD11 brain regions was investigated at different neurodegeneration stages by whole genome microarrays. A new implementation of the Logic Mining method was applied both to early (1\u20133 months) and late stage (6\u201315 months) expression data, coupled to standard statistical methods. A small number of \u201cfingerprinting\u201d formulas was isolated, encompassing mRNAs whose expression levels were able to discriminate between diseased and control mice. We selected three differential \u201csignature\u201d genes specific for the early stage (Nudt19, Arl16, Aph1b), five common to both groups (Slc15a2, Agpat5, Sox2ot, 2210015, D19Rik, Wdfy1), and seven specific for late stage (D14Ertd449, Tia1, Txnl4, 1810014B01Rik, Snhg3, Actl6a, Rnf25). We suggest these genes as potential biomarkers for the early and late stage of AD-like neurodegeneration in this model and conclude that Logic Mining is a powerful and reliable approach for large scale expression data analysis. Its application to large expression datasets from brain or peripheral human samples may facilitate the discovery of early and stage-specific AD biomarkers.<\/jats:p>","DOI":"10.3233\/jad-2011-101881","type":"journal-article","created":{"date-parts":[[2018,5,16]],"date-time":"2018-05-16T04:22:08Z","timestamp":1526444528000},"page":"721-738","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":112,"title":["Gene Expression Biomarkers in the Brain of a Mouse Model for Alzheimer's Disease: Mining of Microarray Data by Logic Classification and Feature Selection"],"prefix":"10.1177","volume":"24","author":[{"given":"Ivan","family":"Arisi","sequence":"first","affiliation":[{"name":"European Brain Research Institute (EBRI) \u201cRita Levi-Montalcini\u201d, Italian Institute of Technology Neurogenomics Unit, Roma, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mara","family":"D'Onofrio","sequence":"additional","affiliation":[{"name":"European Brain Research Institute (EBRI) \u201cRita Levi-Montalcini\u201d, Italian Institute of Technology Neurogenomics Unit, Roma, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Rossella","family":"Brandi","sequence":"additional","affiliation":[{"name":"European Brain Research Institute (EBRI) \u201cRita Levi-Montalcini\u201d, Italian Institute of Technology Neurogenomics Unit, Roma, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Armando","family":"Felsani","sequence":"additional","affiliation":[{"name":"Istituto di Neurobiologia e Medicina Molecolare, CNR, Roma, Italy"},{"name":"Genomnia, Lainate, Milano, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Simona","family":"Capsoni","sequence":"additional","affiliation":[{"name":"Scuola Normale Superiore, Piazza dei Cavalieri, Pisa, Italy"},{"name":"European Brain Research Institute (EBRI) \u201cRita Levi-Montalcini\u201d, Neurotrophic Factors and Neurodegenerative Diseases Unit, Roma, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Guido","family":"Drovandi","sequence":"additional","affiliation":[{"name":"Istituto di Analisi dei Sistemi ed Informatica \u201cAntonio Ruberti\u201d, Roma, Italy"},{"name":"Universit\u00e0 degli Studi Roma Tre, Roma, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Giovanni","family":"Felici","sequence":"additional","affiliation":[{"name":"Istituto di Analisi dei Sistemi ed Informatica \u201cAntonio Ruberti\u201d, Roma, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Emanuel","family":"Weitschek","sequence":"additional","affiliation":[{"name":"Istituto di Analisi dei Sistemi ed Informatica \u201cAntonio Ruberti\u201d, Roma, Italy"},{"name":"Universit\u00e0 degli Studi Roma Tre, Roma, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Paola","family":"Bertolazzi","sequence":"additional","affiliation":[{"name":"Istituto di Analisi dei Sistemi ed Informatica \u201cAntonio Ruberti\u201d, Roma, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Antonino","family":"Cattaneo","sequence":"additional","affiliation":[{"name":"Scuola Normale Superiore, Piazza dei Cavalieri, Pisa, Italy"},{"name":"European Brain Research Institute (EBRI) \u201cRita Levi-Montalcini\u201d, Neurotrophic Factors and Neurodegenerative Diseases Unit, Roma, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"179","published-online":{"date-parts":[[2011,5,30]]},"container-title":["Journal of Alzheimer\u2019s Disease"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/journals.sagepub.com\/doi\/pdf\/10.3233\/JAD-2011-101881","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/journals.sagepub.com\/doi\/pdf\/10.3233\/JAD-2011-101881","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,4,28]],"date-time":"2026-04-28T10:01:09Z","timestamp":1777370469000},"score":1,"resource":{"primary":{"URL":"https:\/\/journals.sagepub.com\/doi\/10.3233\/JAD-2011-101881"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2011,5,30]]},"references-count":0,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2011,5,30]]}},"alternative-id":["10.3233\/JAD-2011-101881"],"URL":"https:\/\/doi.org\/10.3233\/jad-2011-101881","relation":{"is-cited-by":[{"id-type":"doi","id":"10.17795\/zjrms-7950","asserted-by":"object"},{"id-type":"doi","id":"10.17795\/gct-38415","asserted-by":"object"},{"id-type":"doi","id":"10.17795\/zjrms-7554","asserted-by":"object"}]},"ISSN":["1387-2877","1875-8908"],"issn-type":[{"value":"1387-2877","type":"print"},{"value":"1875-8908","type":"electronic"}],"subject":[],"published":{"date-parts":[[2011,5,30]]}}}