{"id":547,"date":"2025-12-03T17:39:32","date_gmt":"2025-12-03T08:39:32","guid":{"rendered":"https:\/\/neuroclub.jikei-neuroscience.com\/?p=547"},"modified":"2025-12-16T17:43:51","modified_gmt":"2025-12-16T08:43:51","slug":"2025-12-03-%e9%87%8e%e5%8f%a3","status":"publish","type":"post","link":"https:\/\/neuroclub.jikei-neuroscience.com\/?p=547","title":{"rendered":"2025-12-03 (\u91ce\u53e3)"},"content":{"rendered":"<p>\u4e0b\u8a18\u306e\u8ad6\u6587\u3092\u7d39\u4ecb\u3055\u305b\u3066\u9802\u304f\u4e88\u5b9a\u3067\u3059\u3002<\/p>\n<p>Brain aging shows nonlinear transitions, suggesting a midlife &quot;critical<br \/>\nwindow&quot; for metabolic intervention.<br \/>\nAntal BB, van Nieuwenhuizen H, Chesebro AG, Strey HH, Jones DT, Clarke K,<br \/>\nWeistuch C, Ratai EM, Dill KA, Mujica-Parodi LR.<br \/>\nProc Natl Acad Sci U S A. 2025 Mar 11;122(10):e2416433122. doi: 10.1073\/<br \/>\npnas.2416433122. Epub 2025 Mar 3.<br \/>\nPMID: 40030017<\/p>\n<p>\u4e0b\u8a18\u306eURL(\u5148\u982d\u306b`h`\u3092\u8ffd\u52a0\u4e0b\u3055\u3044\u3002)\u3088\u308a\u30c0\u30a6\u30f3\u30ed\u30fc\u30c9\u304c\u53ef\u80fd\u3067\u3059\u3002<br \/>\n\u2193<br \/>\n\u3000ttps:\/\/<a href=\"http:\/\/www.pnas.org\/doi\/10.1073\/pnas.2416433122?url_ver=Z39.88-2003&amp;rfr_id=ori%3Arid%3Acrossref.org&amp;rfr_dat=cr_pub++0pubmed\">www.pnas.org\/doi\/10.1073\/pnas.2416433122?url_ver=Z39.88-2003&amp;<br \/>\nrfr_id=ori%3Arid%3Acrossref.org&amp;rfr_dat=cr_pub++0pubmed<\/a><\/p>\n<p>Abstract;<br \/>\nUnderstanding the key drivers of brain aging is essential for effective<br \/>\nprevention and treatment of neurodegenerative diseases. Here, we<br \/>\nintegrate human brain and physiological data to investigate underlying<br \/>\nmechanisms. Functional MRI analyses across four large datasets (totaling<br \/>\n19,300 participants) show that brain networks not only destabilize<br \/>\nthroughout the lifetime but do so along a nonlinear trajectory, with<br \/>\nconsistent temporal &quot;landmarks&quot; of brain aging starting in midlife (40s).<br \/>\nComparison of metabolic, vascular, and inflammatory biomarkers<br \/>\nimplicate dysregulated glucose homeostasis as the driver mechanism for<br \/>\nthese transitions. Correlation between the brain&#8217;s regionally<br \/>\nheterogeneous patterns of aging and gene expression further supports<br \/>\nthese findings, selectively implicating GLUT4 (insulin-dependent glucose<br \/>\ntransporter) and APOE (lipid transport protein). Notably, MCT2 (a<br \/>\nneuronal, but not glial, ketone transporter) emerges as a potential<br \/>\ncounteracting factor by facilitating neurons&#8217; energy uptake<br \/>\nindependently of insulin. Consistent with these results, an<br \/>\ninterventional study of 101 participants shows that ketones exhibit<br \/>\nrobust effects in restabilizing brain networks, maximized from ages 40<br \/>\nto 60, suggesting a midlife &quot;critical window&quot; for early metabolic<br \/>\nintervention.<\/p>\n<p>\u3088\u308d\u3057\u304f\u304a\u9858\u3044\u81f4\u3057\u307e\u3059\u3002<\/p>\n<p>\u91ce\u53e3 \u6df3<\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u4e0b\u8a18\u306e\u8ad6\u6587\u3092\u7d39\u4ecb\u3055\u305b\u3066\u9802\u304f\u4e88\u5b9a\u3067\u3059\u3002 Brain aging shows nonlinear transitions, suggesting a midlife &quot;critical window&quot; f&#8230;<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[3],"tags":[],"class_list":["post-547","post","type-post","status-publish","format-standard","hentry","category-journal-club"],"jetpack_sharing_enabled":true,"jetpack_featured_media_url":"","_links":{"self":[{"href":"https:\/\/neuroclub.jikei-neuroscience.com\/index.php?rest_route=\/wp\/v2\/posts\/547","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/neuroclub.jikei-neuroscience.com\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/neuroclub.jikei-neuroscience.com\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/neuroclub.jikei-neuroscience.com\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/neuroclub.jikei-neuroscience.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=547"}],"version-history":[{"count":1,"href":"https:\/\/neuroclub.jikei-neuroscience.com\/index.php?rest_route=\/wp\/v2\/posts\/547\/revisions"}],"predecessor-version":[{"id":553,"href":"https:\/\/neuroclub.jikei-neuroscience.com\/index.php?rest_route=\/wp\/v2\/posts\/547\/revisions\/553"}],"wp:attachment":[{"href":"https:\/\/neuroclub.jikei-neuroscience.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=547"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/neuroclub.jikei-neuroscience.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=547"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/neuroclub.jikei-neuroscience.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=547"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}