[18F]-D3FSP β-amyloid PET imaging in older adults and alzheimer's disease

被引:4
作者
Li, Anqi [1 ]
Zhao, Ruiyue [2 ]
Zhang, Mingkai [3 ]
Sun, Pan [1 ]
Cai, Yue [1 ]
Zhu, Lin [4 ]
Kung, Hank [5 ]
Han, Ying [1 ,3 ,6 ,8 ]
Wang, Xinlu [2 ,7 ]
Guo, Tengfei [1 ,9 ]
机构
[1] Inst Biomed Engn, Shenzhen Bay Lab, 5 Kelian Rd, Shenzhen 518132, Peoples R China
[2] Guangzhou Med Univ, Affiliated Hosp 1, Dept Nucl Med, Guangzhou 510120, Peoples R China
[3] Capital Med Univ, Xuanwu Hosp, Dept Neurol, Beijing 100053, Peoples R China
[4] Beijing Normal Univ, Beijing 100875, Peoples R China
[5] Univ Penn, Philadelphia, PA 19104 USA
[6] Hainan Univ, Sch Biomed Engn, Haikou 570228, Peoples R China
[7] Beijing Inst Brain Disorders, Ctr Alzheimers Dis, Beijing 100053, Peoples R China
[8] Natl Clin Res Ctr Geriatr Dis, Beijing 100053, Peoples R China
[9] Peking Univ, Inst Biomed Engn, Shenzhen Grad Sch, Shenzhen 518055, Peoples R China
关键词
D3FSP A beta PET; Reference region; Plasma biomarkers; Tau PET; Alzheimer's disease; POSITRON-EMISSION-TOMOGRAPHY; PLASMA NEUROFILAMENT LIGHT; MILD COGNITIVE IMPAIRMENT; NONDEMENTED INDIVIDUALS; BRAIN; TAU; BIOMARKER; ACCUMULATION; ASSOCIATIONS; FLORBETAPIR;
D O I
10.1007/s00259-024-06835-2
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
Purpose [F-18]-D3FSP is a new beta-amyloid (A beta) PET imaging tracer designed to decrease nonspecific signals in the brain by reducing the formation of the N-demethylated product. However, its optimal reference region for calculating the standardized uptake value ratio (SUVR) and its relation to the well-established biomarkers of Alzheimer's disease (AD) are still unclear. Methods We recruited 203 participants from the Greater Bay Area Healthy Aging Brain Study (GHABS) to undergo [F-18]-D3FSP A beta PET imaging. We analyzed plasma A beta 42/A beta 40, p-Tau181, glial fibrillary acidic protein (GFAP), and neurofilament light (NfL) using the Simoa platform. We compared the standardized uptake value (SUV) of five reference regions (cerebellum, cerebellum cortex, brainstem/PONs, white matter, composite of the four regions above) and AD typical cortical region (COMPOSITE) SUVR among different clinical groups. The association of D3FSP SUVR with plasma biomarkers, imaging biomarkers, and cognition was also investigated. Results Brainstem/PONs SUV showed the lowest fluctuation across diagnostic groups, and COMPOSITE D3FSP SUVR had an enormous effect distinguishing cognitively impaired (CI) individuals from cognitively unimpaired (CU) individuals. COMPOSITE SUVR (Referred to brainstem/PONs) was positively correlated with p-Tau181 (p < 0.001), GFAP (p < 0.001), NfL (p = 0.014) in plasma and temporal-metaROI tau deposition (p < 0.001), and negatively related to plasma A beta 42/A beta 40 (p < 0.001), temporal-metaROI cortical thickness (p < 0.01), residual hippocampal volume (p < 0.001) and cognition (p < 0.001). The voxel-wise analysis replicated these findings. Conclusion This study suggests brainstem/PONs as an optimal reference region for calculating D3FSP SUVR to quantify cortical A beta plaques in the brain. [F-18]-D3FSP could distinguish CI from CU and strongly correlates with well-established plasma biomarkers, tau PET, neurodegeneration, and cognitive decline. However, future head-to-head comparisons of [F-18]-D3FSP PET images with other validated A beta PET tracers or postmortem results are crucial.
引用
收藏
页码:3990 / 4000
页数:11
相关论文
共 49 条
  • [1] Cerebral amyloid-β PET with florbetaben (18F) in patients with Alzheimer's disease and healthy controls: a multicentre phase 2 diagnostic study
    Barthel, Henryk
    Gertz, Hermann-Josef
    Dresel, Stefan
    Peters, Oliver
    Bartenstein, Peter
    Buerger, Katharina
    Hiemeyer, Florian
    Wittemer-Rump, Sabine M.
    Seibyl, John
    Reininger, Cornelia
    Sabri, Osama
    [J]. LANCET NEUROLOGY, 2011, 10 (05) : 424 - 435
  • [2] Stage-specific links between plasma neurofilament light and imaging biomarkers of Alzheimer's disease
    Benedet, Andrea L.
    Leuzy, Antoine
    Pascoal, Tharick A.
    Ashton, Nicholas J.
    Mathotaarachchi, Sulantha
    Savard, Melissa
    Therriault, Joseph
    Kang, Min Su
    Chamoun, Mira
    Scholl, Michael
    Zimmer, Eduardo R.
    Gauthier, Serge
    Labbe, Aurelie
    Zetterberg, Henrik
    Rosa-Neto, Pedro
    Blennow, Kaj
    [J]. BRAIN, 2020, 143 : 3793 - 3804
  • [3] STAGING OF ALZHEIMER-RELATED CORTICAL DESTRUCTION
    BRAAK, H
    BRAAK, E
    BOHL, J
    [J]. EUROPEAN NEUROLOGY, 1993, 33 (06) : 403 - 408
  • [4] Optimal Reference Region to Measure Longitudinal Amyloid-β Change with 18F-Florbetaben PET
    Bullich, Santiago
    Villemagne, Victor L.
    Catafau, Ana M.
    Jovalekic, Aleksandar
    Koglin, Norman
    Rowe, Christopher C.
    De Santi, Susan
    [J]. JOURNAL OF NUCLEAR MEDICINE, 2017, 58 (08) : 1300 - 1306
  • [5] Using PET with 18F-AV-45 (florbetapir) to quantify brain amyloid load in a clinical environment
    Camus, V.
    Payoux, P.
    Barre, L.
    Desgranges, B.
    Voisin, T.
    Tauber, C.
    La Joie, R.
    Tafani, M.
    Hommet, C.
    Chetelat, G.
    Mondon, K.
    de la Sayette, V.
    Cottier, J. P.
    Beaufils, E.
    Ribeiro, M. J.
    Gissot, V.
    Vierron, E.
    Vercouillie, J.
    Vellas, B.
    Eustache, F.
    Guilloteau, D.
    [J]. EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING, 2012, 39 (04) : 621 - 631
  • [6] Plasma Aβ42/40 ratio, p-tau181, GFAP, and NfL across the Alzheimer's disease continuum: A cross-sectional and longitudinal study in the AIBL cohort
    Chatterjee, Pratishtha
    Pedrini, Steve
    Doecke, James D.
    Thota, Rohith
    Villemagne, Victor L.
    Dore, Vincent
    Singh, Abhay K.
    Wang, Penghao
    Rainey-Smith, Stephanie
    Fowler, Christopher
    Taddei, Kevin
    Sohrabi, Hamid R.
    Molloy, Mark P.
    Ames, David
    Maruff, Paul
    Rowe, Christopher C.
    Masters, Colin L.
    Martins, Ralph N.
    [J]. ALZHEIMERS & DEMENTIA, 2023, 19 (04) : 1117 - 1134
  • [7] Cho SH, 2020, SCI REP NAT RES, V10
  • [8] Use of Florbetapir-PET for Imaging β-Amyloid Pathology
    Clark, Christopher M.
    Schneider, Julie A.
    Bedell, Barry J.
    Beach, Thomas G.
    Bilker, Warren B.
    Mintun, Mark A.
    Pontecorvo, Michael J.
    Hefti, Franz
    Carpenter, Alan P.
    Flitter, Matthew L.
    Krautkramer, Michael J.
    Kung, Hank F.
    Coleman, R. Edward
    Doraiswamy, P. Murali
    Fleisher, Adam S.
    Sabbagh, Marwan N.
    Sadowsky, Carl H.
    Reiman, P. Eric M.
    Zehntner, Simone P.
    Skovronsky, Daniel M.
    [J]. JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION, 2011, 305 (03): : 275 - 283
  • [9] Clark CM, USE FLORBETAPIR PET
  • [10] Cohen J., 1988, Statistical power analysis for the behavioral sciences, V2nd ed., pxxi