Quantitative measurement of cerebral acetylcholinesterase using(198 views visite) Blomqvist G, Tavitian B, Pappata S, Crouzel C, Jobert A, Doignon I, Di Giamberardino L
Journal Of Cerebral Blood Flow And Metabolism (ISSN: 0271-678x), 2001 Feb; 21(2): 114-131.
Keywords Parole chiave: Not available. Non disponibili.
Affiliations Affiliazioni: *** IBB - CNR ***
INSERM U334, Service Hospitalier Frederic Joliot, Orsay, France.
References Riferimenti: Not available. Non disponibili.
Quantitative measurement of cerebral acetylcholinesterase using
[11C]physostigmine, an acetylcholinesterase inhibitor, has been shown to be a promising positron emission tomography ligand to quantify the cerebral concentration of the enzyme in animals and humans in vivo. Here, a quantitative and noninvasive method to measure the regional acetylcholinesterase concentration in the brain is presented. The method is based on the observation that the ratio between regions rich in acetylcholinesterase and white matter, a region almost entirely deprived of this enzyme, was found to become approximately constant after 20 to 30 minutes, suggesting that at late time points the uptake mainly contains information about the distribution volume. Taking the white matter as the reference region, a simplified reference tissue model, with effectively one reversible tissue compartment and three parameters, was found to give a good description of the data in baboons. One of these parameters, the ratio between the total distribution volumes in the target and reference regions, showed a satisfactory correlation with the acetylcholinesterase concentration measured postmortem in two baboon brains. Eight healthy male subjects were also analyzed and the regional enzyme concentrations obtained again showed a good correlation with the known acetylcholinesterase concentrations measured in postmortem studies of human brain.
Quantitative measurement of cerebral acetylcholinesterase using
Antonini A, Vitale C, Barone P, Cilia R, Righini A, Bonuccelli U, Abbruzzese G, Ramat S, Petrone A, Quatrale R, Marconi R, Ceravolo R, Stefani A, Lopiano L, Zappia M, Capus L, Morgante L, Tamma F, Tinazzi M, Colosimo C, Guerra UP, Valzania F, Fagioli G, Distefano A, Bagnato A, Feggi L, Anna S, Maria Teresa Rosaria De Cr, Nobili F, Mazzuca N, Baldari S, Eleopra R, Bestetti A, Benti R, Varrone A, Volterrani D, Massa R, Stocchi F, Schillaci O, Dore F, Zibetti M, Castellano G, Battista SG, Giorgetti G * The relationship between cerebral vascular disease and parkinsonism: The VADO study(422 visite) Parkinsonism Relat D (ISSN: 1353-8020, 1873-5126, 1873-5126electronic), 2012; 18(6): 775-780. Impact Factor:3.274 DettagliEsporta in BibTeXEsporta in EndNote
Hesse B, Tagil K, Cuocolo A, Anagnostopoulos C, Bardies M, Bax J, Bengel F, Busemann Sokole E, Davies G, Dondi M, Edenbrandt L, Franken P, Kjaer A, Knuuti J, Lassmann M, Ljungberg M, Marcassa C, Marie PY, Mckiddie F, O'connor M, Prvuolovich E, Underwood R * 3. 0 T perfusion MR imaging(551 visite) Rivista Di Neuroradiologia (ISSN: 1120-9976), 2004; 17(6): 807-812. Impact Factor:0.023 DettagliEsporta in BibTeXEsporta in EndNote
271 Records (238 escludendo Abstract e Conferenze). Impact factor totale: 791.927 (717.709 escludendo Abstract e Conferenze). Impact factor a 5 anni totale: 869.932 (796.064 escludendo Abstract e Conferenze).
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