Plasma neurofilament light chain predicts Alzheimer's disease in patients with subjective cognitive decline and mild cognitive impairment: A cross-sectional and longitudinal study

被引:11
作者
Mazzeo, Salvatore [1 ,2 ]
Ingannato, Assunta [1 ]
Giacomucci, Giulia [1 ]
Manganelli, Alberto [1 ]
Moschini, Valentina [2 ]
Balestrini, Juri [1 ]
Cavaliere, Arianna [1 ]
Morinelli, Carmen [2 ]
Galdo, Giulia [1 ]
Emiliani, Filippo [1 ]
Piazzesi, Diletta [2 ]
Crucitti, Chiara [1 ]
Frigerio, Daniele [1 ]
Polito, Cristina [3 ]
Berti, Valentina [4 ]
Bagnoli, Silvia [1 ]
Padiglioni, Sonia [2 ,5 ]
Sorbi, Sandro [1 ,2 ,3 ]
Nacmias, Benedetta [1 ,3 ,6 ]
Bessi, Valentina [1 ,2 ]
机构
[1] Univ Florence, Dept Neurosci Psychol Drug Res & Child Hlth, Florence, Italy
[2] Azienda Osped Univ Careggi, Res & Innovat Ctr Dementia CRIDEM, Florence, Italy
[3] IRCCS Fdn Don Carlo Gnocchi, Florence, Italy
[4] Univ Florence, Dept Biomed Expt & Clin Sci Mario Serio, Florence, Italy
[5] Reg Referral Ctr Relat Crit, I-50139 Tuscany Region, Italy
[6] Azienda Osped Univ Careggi, Largo Brambilla 3, I-50134 Florence, Italy
关键词
Alzheimer's disease; biomarker; dementia; mild cognitive impairment; neurofilament; ASSOCIATION WORKGROUPS; DIAGNOSTIC GUIDELINES; NATIONAL INSTITUTE; DEMENTIA; RISK; RECOMMENDATIONS; BIOMARKERS; FRAMEWORK;
D O I
10.1111/ene.16089
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
Background and purpose: We aimed to evaluate the accuracy of plasma neurofilament light chain (NfL) in predicting Alzheimer's disease (AD) and the progression of cognitive decline in patients with subjective cognitive decline (SCD) and mild cognitive impairment (MCI).Methods: This longitudinal cohort study involved 140 patients (45 with SCD, 73 with MCI, and 22 with AD dementia [AD-D]) who underwent plasma NfL and AD biomarker assessments (cerebrospinal fluid, amyloid positron emission tomography [PET], and F-18-fluorodeoxyglucose-PET) at baseline. The patients were rated according to the amyloid/tau/neurodegeneration (A/T/N) system and followed up for a mean time of 2.72 +/- 0.95 years to detect progression from SCD to MCI and from MCI to AD. Forty-eight patients (19 SCD, 29 MCI) also underwent plasma NfL measurements 2 years after baseline.Results: At baseline, plasma NfL detected patients with biomarker profiles consistent with AD (A+/T+/N+ or A+/T+/N-) with high accuracy (area under the curve [AUC] 0.82). We identified cut-off values of 19.45 pg/mL for SCD and 20.45 pg/mL for MCI. During follow-up, nine SCD patients progressed to MCI (progressive SCD [p-SCD]), and 14 MCI patients developed AD dementia (progressive MCI [p-MCI]). The previously identified cut-off values provided good accuracy in identifying p-SCD (80% [95% confidence interval 65.69: 94.31]). The rate of NfL change was higher in p-MCI (3.52 +/- 4.06 pg/mL) compared to non-progressive SCD (0.81 +/- 1.25 pg/mL) and non-progressive MCI (-0.13 +/- 3.24 pg/mL) patients. A rate of change lower than 1.64 pg/mL per year accurately excluded progression from MCI to AD (AUC 0.954).Conclusion: Plasma NfL concentration and change over time may be a reliable, non-invasive tool to detect AD and the progression of cognitive decline at the earliest stages of the disease.
引用
收藏
页数:13
相关论文
共 32 条
[1]   The diagnosis of mild cognitive impairment due to Alzheimer's disease: Recommendations from the National Institute on Aging-Alzheimer's Association workgroups on diagnostic guidelines for Alzheimer's disease [J].
Albert, Marilyn S. ;
DeKosky, Steven T. ;
Dickson, Dennis ;
Dubois, Bruno ;
Feldman, Howard H. ;
Fox, Nick C. ;
Gamst, Anthony ;
Holtzman, David M. ;
Jagust, William J. ;
Petersen, Ronald C. ;
Snyder, Peter J. ;
Carrillo, Maria C. ;
Thies, Bill ;
Phelps, Creighton H. .
ALZHEIMERS & DEMENTIA, 2011, 7 (03) :270-279
[2]   Agreement of amyloid PET and CSF biomarkers for Alzheimer's disease on Lumipulse [J].
Alcolea, Daniel ;
Pegueroles, Jordi ;
Munoz, Laia ;
Camacho, Valle ;
Lopez-Mora, Diego ;
Fernandez-Leon, Alejandro ;
Le Bastard, Nathalie ;
Huyck, Els ;
Nadal, Alicia ;
Olmedo, Veronica ;
Sampedro, Frederic ;
Montal, Victor ;
Vilaplana, Eduard ;
Clarimon, Jordi ;
Blesa, Rafael ;
Fortea, Juan ;
Lleo, Alberto .
ANNALS OF CLINICAL AND TRANSLATIONAL NEUROLOGY, 2019, 6 (09) :1815-1824
[3]   Elevated plasma neurofilament light predicts a faster rate of cognitive decline over 5 years in participants with objectively-defined subtle cognitive decline and MCI [J].
Bangen, Katherine J. ;
Thomas, Kelsey R. ;
Weigand, Alexandra J. ;
Edmonds, Emily C. ;
Clark, Alexandra L. ;
Solders, Seraphina ;
Delano-Wood, Lisa ;
Galasko, Douglas R. ;
Bondi, Mark W. .
ALZHEIMERS & DEMENTIA, 2021, 17 (10) :1756-1762
[4]   Stage-specific links between plasma neurofilament light and imaging biomarkers of Alzheimer's disease [J].
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 .
BRAIN, 2020, 143 :3793-3804
[5]   Classification accuracy of blood-based and neurophysiological markers in the differential diagnosis of Alzheimer's disease and frontotemporal lobar degeneration [J].
Benussi, Alberto ;
Cantoni, Valentina ;
Rivolta, Jasmine ;
Archetti, Silvana ;
Micheli, Anna ;
Ashton, Nicholas ;
Zetterberg, Henrik ;
Blennow, Kaj ;
Borroni, Barbara .
ALZHEIMERS RESEARCH & THERAPY, 2022, 14 (01)
[6]   Influence of ApoE Genotype and Clock T3111C Interaction with Cardiovascular Risk Factors on the Progression to Alzheimer's Disease in Subjective Cognitive Decline and Mild Cognitive Impairment Patients [J].
Bessi, Valentina ;
Balestrini, Juri ;
Bagnoli, Silvia ;
Mazzeo, Salvatore ;
Giacomucci, Giulia ;
Padiglioni, Sonia ;
Piaceri, Irene ;
Carraro, Marco ;
Ferrari, Camilla ;
Bracco, Laura ;
Sorbi, Sandro ;
Nacmias, Benedetta .
JOURNAL OF PERSONALIZED MEDICINE, 2020, 10 (02)
[7]   From Subjective Cognitive Decline to Alzheimer's Disease: The Predictive Role of Neuropsychological Assessment, Personality Traits, and Cognitive Reserve. A 7-Year Follow-Up Study [J].
Bessi, Valentina ;
Mazzeo, Salvatore ;
Padiglioni, Sonia ;
Piccini, Carolina ;
Nacmias, Benedetta ;
Sorbi, Sandro ;
Bracco, Laura .
JOURNAL OF ALZHEIMERS DISEASE, 2018, 63 (04) :1523-1535
[8]   Diagnostic and prognostic plasma biomarkers for preclinical Alzheimer's disease [J].
Chatterjee, Pratishtha ;
Pedrini, Steve ;
Ashton, Nicholas J. ;
Tegg, Michelle ;
Goozee, Kathryn ;
Singh, Abhay K. ;
Karikari, Thomas K. ;
Simren, Joel ;
Vanmechelen, Eugeen ;
Armstrong, Nicola J. ;
Hone, Eugene ;
Asih, Prita R. ;
Taddei, Kevin ;
Dore, Vincent ;
Villemagne, Victor L. ;
Sohrabi, Hamid R. ;
Zetterberg, Henrik ;
Masters, Colin L. ;
Blennow, Kaj ;
Martins, Ralph N. .
ALZHEIMERS & DEMENTIA, 2022, 18 (06) :1141-1154
[9]   Alzheimer's disease drug development pipeline: 2023 [J].
Cummings, Jeffrey ;
Zhou, Yadi ;
Lee, Garam ;
Zhong, Kate ;
Fonseca, Jorge ;
Cheng, Feixiong .
ALZHEIMERS & DEMENTIA-TRANSLATIONAL RESEARCH & CLINICAL INTERVENTIONS, 2023, 9 (02)
[10]   Plasma tau, neurofilament light chain and amyloid-β levels and risk of dementia; a population-based cohort study [J].
de Wolfa, Frank ;
Ghanbaria, Mohsen ;
Lichera, Silvan ;
McRae-McKeea, Kevin ;
Grasa, Luuk ;
Weverlinga, Gerrit Jan ;
Wermelinga, Paulien ;
Sedaghata, Sanaz ;
Ikrama, M. Kamran ;
Wazirya, Reem ;
Koudstaala, Wouter ;
Klapa, Jaco ;
Kostensea, Stefan ;
Hofmana, Albert ;
Andersona, Roy ;
Goudsmita, Jaap ;
Ikrama, M. Arfan .
BRAIN, 2020, 143 :1220-1232