{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,28]],"date-time":"2026-04-28T17:17:21Z","timestamp":1777396641555,"version":"3.51.4"},"reference-count":72,"publisher":"SAGE Publications","issue":"s2","license":[{"start":{"date-parts":[[2024,5,1]],"date-time":"2024-05-01T00:00:00Z","timestamp":1714521600000},"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":[[2024,5,7]]},"abstract":"<jats:sec specific-use=\"heading-level-1\">\n                    <jats:title>Background:<\/jats:title>\n                    <jats:p>Alzheimer\u2019s disease (AD) is the most common type of dementia in the elderly. Incomplete knowledge about the pathogenesis of this disease determines the absence of medications for the treatment of AD today. Animal models can provide the necessary knowledge to understand the mechanisms of biochemical processes occurring in the body in health and disease.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec specific-use=\"heading-level-1\">\n                    <jats:title>Objective:<\/jats:title>\n                    <jats:p>To identify the most promising metabolomic predictors and biomarkers reflecting metabolic disorders in the development of AD signs.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec specific-use=\"heading-level-1\">\n                    <jats:title>Methods:<\/jats:title>\n                    <jats:p>\n                      High resolution\n                      <jats:sup>1<\/jats:sup>\n                      H NMR spectroscopy was used for quantitative metabolomic profiling of the hippocampus of OXYS rats, an animal model of sporadic AD, which demonstrates key characteristics of this disease. Animals were examined during several key periods: 20 days group corresponds to the \u201cpreclinical\u201d period preceding the development of AD signs, during their manifestation (3 months), and active progression (18 months). Wistar rats of the same age were used as control.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec specific-use=\"heading-level-1\">\n                    <jats:title>Results:<\/jats:title>\n                    <jats:p>Ranges of variation and mean concentrations were established for 59 brain metabolites. The main metabolic patterns during aging, which are involved in energy metabolism pathways and metabolic shifts of neurotransmitters, have been established. Of particular note is the significant increase of scyllo-inositol and decrease of hypotaurine in the hippocampus of OXYS rats as compared to Wistars for all studied age groups.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec specific-use=\"heading-level-1\">\n                    <jats:title>Conclusions:<\/jats:title>\n                    <jats:p>We suggest that the accumulation of scyllo-inositol and the reduction of hypotaurine in the brain, even at an early age, can be considered as predictors and potential biomarkers of the development of AD signs in OXYS rats and, probably, in humans.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.3233\/jad-230706","type":"journal-article","created":{"date-parts":[[2023,11,14]],"date-time":"2023-11-14T11:23:45Z","timestamp":1699961025000},"update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":6,"title":["Quantitative Metabolomic Analysis of the Rat Hippocampus: Effects of Age and of the Development of Alzheimer\u2019s Disease-Like Pathology"],"prefix":"10.1177","volume":"99","author":[{"given":"Olga","family":"Snytnikova","sequence":"first","affiliation":[{"name":"International Tomography Center, Siberian Branch of the Russian Academy of Sciences, Novosibirsk, Russia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Darya","family":"Telegina","sequence":"additional","affiliation":[{"name":"The Federal Research Center Institute of Cytology and Genetics, Siberian Branch of the Russian Academy of Sciences, Novosibirsk, Russia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ekaterina","family":"Savina","sequence":"additional","affiliation":[{"name":"International Tomography Center, Siberian Branch of the Russian Academy of Sciences, Novosibirsk, Russia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yuri","family":"Tsentalovich","sequence":"additional","affiliation":[{"name":"International Tomography Center, Siberian Branch of the Russian Academy of Sciences, Novosibirsk, Russia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nataliya","family":"Kolosova","sequence":"additional","affiliation":[{"name":"The Federal Research Center Institute of Cytology and Genetics, Siberian Branch of the Russian Academy of Sciences, Novosibirsk, Russia"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","published-online":{"date-parts":[[2024,5]]},"reference":[{"key":"e_1_3_6_2_2","doi-asserted-by":"publisher","DOI":"10.1038\/s41573-022-00391-w"},{"key":"e_1_3_6_3_2","doi-asserted-by":"publisher","DOI":"10.3390\/molecules25245789"},{"key":"e_1_3_6_4_2","doi-asserted-by":"publisher","DOI":"10.3390\/biom13030453"},{"key":"e_1_3_6_5_2","doi-asserted-by":"crossref","first-page":"572","DOI":"10.3389\/fnins.2018.00572","article-title":"The role ofmagnetoencephalography in the early stages of Alzheimer\u2019s disease","volume":"12","author":"L\u00f3pez-Sanz D","year":"2018","unstructured":"L\u00f3pez-SanzD, SerranoN, Maest\u00faF (2018) The role ofmagnetoencephalography in the early stages of Alzheimer\u2019s disease. 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