{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,5]],"date-time":"2026-10-05T01:03:02Z","timestamp":1791162182508,"version":"4.1.0"},"reference-count":51,"publisher":"SAGE Publications","issue":"9","license":[{"start":{"date-parts":[[2012,6,20]],"date-time":"2012-06-20T00:00:00Z","timestamp":1340150400000},"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":["J Cereb Blood Flow Metab"],"published-print":{"date-parts":[[2012,9]]},"abstract":"<jats:p>\n                    Cerebral glucose consumption and glucose transport across the blood\u2013brain barrier are crucial to brain function since glucose is the major energy fuel for supporting intense electrophysiological activity associated with neuronal firing and signaling. Therefore, the development of noninvasive methods to measure the cerebral metabolic rate of glucose (CMR\n                    <jats:sub>glc<\/jats:sub>\n                    ) and glucose transport constants ( K\n                    <jats:sub>T<\/jats:sub>\n                    : half-saturation constant; T\n                    <jats:sub>max<\/jats:sub>\n                    : maximum transport rate) are of importance for understanding glucose transport mechanism and neuroenergetics under various physiological and pathological conditions. In this study, a novel approach able to simultaneously measure CMR\n                    <jats:sub>glc<\/jats:sub>\n                    , K\n                    <jats:sub>T<\/jats:sub>\n                    , and T\n                    <jats:sub>max<\/jats:sub>\n                    via monitoring the dynamic glucose concentration changes in the brain tissue using in-vivo\n                    <jats:sup>1<\/jats:sup>\n                    H magnetic resonance spectroscopy (MRS) and in plasma after a brief glucose infusion was proposed and tested using an animal model. The values of CMR\n                    <jats:sub>glc<\/jats:sub>\n                    , T\n                    <jats:sub>max<\/jats:sub>\n                    , and K\n                    <jats:sub>T<\/jats:sub>\n                    were determined to be 0.44\u00b10.17\u2009 \u03bcmol\/g per minute, 1.35\u00b10.47\u2009 \u03bcmol\/g per minute, and 13.4\u00b16.8\u2009mmol\/L in the rat brain anesthetized with 2% isoflurane. The Monte-Carlo simulations suggest that the measurements of CMR\n                    <jats:sub>glc<\/jats:sub>\n                    and T\n                    <jats:sub>max<\/jats:sub>\n                    are more reliable than that of K\n                    <jats:sub>T<\/jats:sub>\n                    . The overall results indicate that the new approach is robust and reliable for in-vivo measurements of both brain glucose metabolic rate and transport constants, and has potential for human application.\n                  <\/jats:p>","DOI":"10.1038\/jcbfm.2012.82","type":"journal-article","created":{"date-parts":[[2012,6,20]],"date-time":"2012-06-20T04:12:39Z","timestamp":1340165559000},"page":"1778-1787","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":14,"title":["Simultaneous Measurement of Glucose Blood\u2013Brain Transport Constants and Metabolic Rate in Rat Brain using\n                    <i>in-vivo<\/i>\n                    <sup>1<\/sup>\n                    H MRS"],"prefix":"10.1177","volume":"32","author":[{"given":"Fei","family":"Du","sequence":"first","affiliation":[{"name":"Department of Radiology, Center for Magnetic Resonance Research, University of Minnesota Medical School, Minneapolis, Minnesota, USA"},{"name":"Department of Psychiatry, Brain Imaging Center, McLean Hospital, Harvard Medical School, Belmont, Massachusetts, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yi","family":"Zhang","sequence":"additional","affiliation":[{"name":"Department of Radiology, Center for Magnetic Resonance Research, University of Minnesota Medical School, Minneapolis, Minnesota, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiao-Hong","family":"Zhu","sequence":"additional","affiliation":[{"name":"Department of Radiology, Center for Magnetic Resonance Research, University of Minnesota Medical School, Minneapolis, Minnesota, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wei","family":"Chen","sequence":"additional","affiliation":[{"name":"Department of Radiology, Center for Magnetic Resonance Research, University of Minnesota Medical School, Minneapolis, Minnesota, 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