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Paquet, Claire

0000-0002-2273-7316

Mayo Clinic

Inserm

Citations 4

Clinical application and reporting of neurofilament quantification in neuropsychiatric disorders: an international overview
Yriarte, Jose, Zecca, Chiara, Logroscino, Giancarlo, Koertvelyessy, Peter, Tumani, Hayrettin, Olsen, Dorte Aalund , Alcolea, Daniel, Blennow, Kaj, Fortea, Juan M., Lleó, Alberto, Santos, Gustavo A A, Borelli, Wyllians Vendramini, Amar, Elodie Bouaziz, Bigot‐Corbel, Edith, Bjerke, Maria , Pérez, Mercedes Carretero, Chabrashvili, Tinatin, Chapman, Miles, Cusato, J, Fourier, Anthony , Galimberti, Daniela, Gezen‐Ak, Duygu, Florez, Silvia de las Heras, Sánchez, Juan José Hernández, Imperiale, Daniela, Kaczorowski, Flora, Khalil, Michael, Kuhle, Jens, Lewczuk, Piotr, Tsolaki, Magda, Blanc, M, Mroszko, Barbara, Rodríguez‐Álvarez, Jose, Kulczynska‐Przybik, Agnieszka, Nogueira, Léonor, Paquet, Claire, Baiardi, Simone, Parnetti, Lucilla, Garay, Raquel Perez, Quillard‐Muraine, Muriel, Borja, Enrique Rodriguez, Schraen‐Maschke, Susanna, Terracciano, Daniela , Bachhuber, Franziska , Tzartos, Socrates, Tzartos, John , Unterwalder, Nadine, Vermunt, Lisa, Zetterberg, Henrik, Teunissen, C., Lehmann, Sylvain , Delaby, Constance , Ladang, Aurélie , Zecca, Chiara, Logroscino, Giancarlo , Köertvelyessy, Pèter, Tumani, Hayrettin , Parchi, Piero , Quadrio, Isabelle , Hart, Melanie , Alcolea, Daniel , Blennow, Kaj , Fortea, Juan , Lleó, Alberto , Algeciras‐Schimnich, Alicia , Ayrignac, Xavier , Bedel, Aurélie , Borelli, Wyllians Vendramini , Bouaziz-Amar, Élodie , Baldeiras, Inês , Bigot‐Corbel, Edith , Casoli, Tiziana , Chabrashvili, Tinatin, Cusato, Jessica , Dursun, Erdinç , Galimberti, Daniela , Gezen‐Ak, Duygu , Gordon, Brian A. , Gouju, Julien , Flórez, Silvia de las Heras , Herwerth, Marina , Kasuga, Kensaku , Keshavan, Ashvini , Khalil, Michael , Kühle, Jens , Leithner, Christoph , Lewczuk, Piotr , Letournel, Franck , Tsolaki, Magda , Giuffrè, Guido Maria , Rodrı́guez-Álvarez, José , Musso, Giulia , Kulczyńska‐Przybik, Agnieszka , Paquet, Claire , Baiardi, Simone , Gaetani, Lorenzo , Parnetti, Lucilla , Poesen, Koen , Schraen‐Maschke, Susanna , Halbgebauer, Steffen , Tzartos, S J, Vermunt, Lisa , Wellington, Cheryl L. , Zetterberg, Henrik, Teunissen, Charlotte E. , Lehmann, Sylvain

Alzheimer's & Dementia | December 25, 2025 | Volume: 21 | Issue: S2 | Pages: No page available

10.1002/alz70856_104274 Get It

Abstract Background The quantification of Neurofilament Light chain (NfL) in blood and cerebrospinal fluid (CSF) has proven valuable for diagnosing and prognosing various neurological disorders, including Alzheimer's disease, frontotemporal dementia, amyotrophic lateral sclerosis, parkinsonism, multiple sclerosis, and ischemic damage. However, there is considerable variability in clinical and laboratory practices between centers, primarily due to different contexts of use (COU), analytical methods, and the application of cutoffs or scales. Additionally, for the same biochemical profile, the interpretation and reporting of results may vary from one center to another, raising concerns about the commutability of the tests. To date, no consensus has been reached among laboratories to define the most appropriate use of cutoffs or conclusions/comments based on NfL profiles. Method This international project involves 38 laboratories across 18 countries, all specialized in the biochemical diagnosis of neurological disorders. Using a questionnaire, we obtained descriptions from each center regarding their COU, pre‐analytical and analytical protocols (including the biological fluid and methods used to quantify NfL). Through a consensus approach, we developed a harmonized strategy for the use and reporting of NfL results across different centres according to their respective COU. Results Among the centers, 63% quantified NfL in the CSF, 87% in blood and 53% in both fluids. COU were as follow: frontotemporal dementia (71%), Alzheimer disease (71%), multiple sclerosis (61%), amyotrophic lateral sclerosis (61%), psychiatric syndrome (45%), Creutzfeldt‐Jakob disease (32%), Parkinson disease (39%), peripheral neuropathy (29%), traumatic brain injury (21%), Huntington's disease (13%), amyloid transthyretin related (11%) and cardiac arrest (8%). Most of the centers define pathological cutoffs based on publications (50%) and take age into account for this purpose (42%). Reporting is mostly transmitted through numeric results (95%). Conclusion Harmonizing cutoffs, reporting, and interpretation across various clinical contexts will facilitate the incorporation of this biomarker into routine clinical practice.
Clinical use and reporting of neurofilament quantification in neurological disorders: A global overview
Delaby, Constance , Martinez‐Yriarte, Jose, Zecca, Chiara , Körtvelyessy, Péter , Tumani, Hayrettin , Quadrio, Isabelle , Hart, Melanie , Olsen, Dorte Aalund , Alcolea, Daniel, Blennow, Kaj , Bouaziz-Amar, Élodie , Baldeiras, Inês , Bigot‐Corbel, Edith , Bjerke, Maria , Perez, Mercedes Carretero, Chabrashvili, Tinatin, Chapman, Miles, Fourier, Anthony , Galimberti, Daniela , Gezen‐Ak, Duygu , Gouju, Julien , Flórez, Silvia de las Heras , Sanchez, Juanjo Hernandez, Herwerth, Marina , Imperiale, Daniele , Kaczorowski, Flora, Keshavan, Ashvini , Leithner, Christoph , Blanc, M, Rodríguez, Jose Enrique Martínez, Musso, Giulia , Nogueira, Léonor, Garay, Raquel Perez, Quillard‐Muraine, Muriel, Borja, Enrique Rodriguez, Schraen, Susanna, Terracciano, Daniela , Bachhuber, Franziska , Tzartos, Socrates J., Tzartos, John , Unterwalder, Nadine, Lehmann, Sylvain , Keshavan, Ashvini , Galimberti, Daniela , Herwerth, Marina , Ladang, Aurélie , Logroscino, Giancarlo , Tumani, Hayrettin , Parchi, Piero , Alcolea, Daniel , Fortea, Juan , Lleó, Alberto , Algeciras‐Schimnich, Alicia , Ayrignac, Xavier , Bedel, Aurélie , Santos, Gustavo Alves Andrade dos , Borelli, Wyllians Vendramini , Perez, Mercedes Carretero, Casoli, Tiziana , Cusato, Jessica , Dursun, Erdinç , Gordon, Brian A. , Sanchez, Juanjo Hernandez, Kasuga, Kensaku , Khalil, Michael , Kühle, Jens , Lewczuk, Piotr , Letournel, Franck , Tsolaki, Magda , Giuffrè, Guido Maria , Mroczko, Barbara , Kulczyńska‐Przybik, Agnieszka , Paquet, Claire , Baiardi, Simone , Gaetani, Lorenzo , Parnetti, Lucilla , Poesen, Koen , Halbgebauer, Steffen , Vermunt, Lisa , Wellington, Cheryl L. , Zetterberg, Henrik , Teunissen, Charlotte E.

Alzheimer's & Dementia | June 23, 2025 | Volume: 21 | Issue: 6 | Pages: No page available

10.1002/alz.70343 Get It

Abstract INTRODUCTION Neurofilament light chain (NfL) quantification aids in diagnosing and predicting neurological disorders, but clinical and laboratory practices vary across centers. Differences in result interpretation and reporting further challenge test commutability. This study aimed to review the global analytical and post‐analytical methods used for NfL measurement in routine clinical practice across different contexts. METHODS We established an international working group (WG) and distributed a survey to its members to gather information on context of use (COU), (pre) analytical methods, cutoff usage, as well as the interpretation and reporting of NfL measurements. RESULTS Among the centers, 63% measured NfL in cerebrospinal fluid (CSF), 87% in blood, and 53% in both. COU was widespread, with 50% defining pathological cutoffs based on publications and 42% considering age. Reporting was primarily done through numeric results (95%). DISCUSSION Harmonizing cutoffs, reporting, and interpretation across various clinical contexts will facilitate the incorporation of this biomarker into routine clinical practice. Highlights Unique international overview of current analytical and post‐analytical methods for neurofilament light chain (NfL) measurement in routine clinical practice. Tailored sheets for each neurological application. Strategies to harmonize cutoffs, reporting, and interpretation of NfL's measurement.
International Initiative for Harmonization of Plasma Neurofilament light chain NfL clinical reporting in neurodegenerative diseases
Olsen, Dorte Aalund , Alcolea, Daniel, Bigot‐Corbel, Edith , Bjerke, Maria , Perez, Mercedes Carretero, Chabrashvili, Tinatin, Chapman, Miles, Fourier, Anthony , Kaczorowski, Flora, Köertvelyessy, Pèter, Blanc, M, Mroszko, Barbara, Nogueira, Léonor, Garay, Raquel Perez, Quillard‐Muraine, Muriel, Borja, Enrique Rodriguez, Schraen, Susanna, Terracciano, Daniela , Tzartos, Socrates J., Unterwalder, Nadine, Yriarte, Jose, Blennow, Kaj , Delaby, Constance , Teunissen, Charlotte E. , Alcolea, Daniel , Lleó, Alberto , Algeciras‐Schimnich, Alicia , Santos, Gustavo Alves Andrade dos , Bouaziz-Amar, Élodie , Ayrignac, Xavier , Baldeiras, Inês , Perez, Mercedes Carretero, Casoli, Tiziana , Cusato, Jessica , Dursun, Erdinç , Galimberti, Daniela , Gezen‐Ak, Duygu , Gordon, Brian A. , Hart, Melanie , Herwerth, Marina , Kasuga, Kensaku , Keshavan, Ashvini , Khalil, Michael , Kühle, Jens , Ladang, Aurélie , Lewczuk, Piotr , Logroscino, Giancarlo , Tsolaki, Magda , Giuffrè, Guido Maria , Musso, Giulia , Kulczyńska‐Przybik, Agnieszka , Paquet, Claire , Parchi, Piero , Parnetti, Lucilla , Poesen, Koen , Quadrio, Isabelle , Tumani, Hayrettin , Vermunt, Lisa , Wellington, Cheryl L. , Zetterberg, Henrik , Lehmann, Sylvain

Alzheimer's & Dementia | January 9, 2025 | Volume: 20 | Issue: S2 | Pages: No page available

10.1002/alz.090643 Get It

AbstractBackgroundThe quantification of neurofilament light chain (NfL) in blood and cerebrospinal fluid (CSF) has proved useful in many contexts, for the diagnosis and prognosis of various neurological disorders. There is, however, a diversity of practices between centers, essentially linked to the context of use (COU), analytical methods, consideration of comorbidities, determination of cut‐points or use of interpretation scales. Finally, for the same biochemical profile, the interpretation and reporting of results may differ from one center to another, raising the question of test commutability. To date, no consensus has been reached between the different laboratories involved to define the most appropriate conclusions/comments based on COU and cut‐points. This work is an essential step towards consensual harmonization of the clinical use of NfL after CSF and/or blood analysis in various neurological contexts, as advocated by the Alzheimer's Association "Biofluid Based Biomarkers PIA" working group.MethodThis international project involves 58 clinical laboratories in 16 countries, specializing in the biochemical diagnosis of neurological disorders. By means of a questionnaire, we obtained a description of the COU, pre‐analytical and analytical (biological fluid and method used to quantify NfL) protocols of all the centers involved.ResultsOf the centers, 42% quantified NfL in CSF, 29% in serum and 28% in plasma, and 1% in dried blood spot. The COUs were as follows: Frontotemporal dementia (FTD, 17%), Alzheimer's disease (AD, 16%), multiple sclerosis (MS, 16%), amyotrophic lateral sclerosis (ALS, 11%), psychiatric syndrome (PS, 10%), Creutzfeldt‐Jakob disease (CJD, 8%), Parkinson's disease (PD, 8%), peripheral neuropathy (PN, 7%) and traumatic brain injury (TBI, 7%). Most centers define pathological cut‐points based on published literature and take age into account (50%).ConclusionOur initial results highlight the state of the art in terms of the clinical use of NfL analysis in CSF and blood in the context of different neurological diseases. We have now defined a coordinator for each COU subgroup and are organizing consensus meetings to harmonize the use and reporting of NfL measurements for the identified clinical applications. The results of these next steps will be presented.
Plasma p‐tau231 in the Alzheimer’s disease continuum: A multi‐cohort evaluation of diagnostic performance, detection of Aβ pathology and preclinical application
Benedet, Andréa Lessa , Gauthier, Serge , Petersen, Ronald C. , Thambisetty, Madhav , Varma, Vijay R. , Resnick, Susan M. , Villeneuve, Sylvia , Galasko, Doug, Fauria, Karine , Blennow, Kaj , Ashton, Nicholas J. , Karikari, Thomas K. , Lantero‐Rodriguez, Juan , Snellman, Anniina , Pascoal, Tharick Ali , Rosa-Neto, Pedro , Jack, Clifford R. , Mielke, Michelle M. , Chatterjee, Pratishtha , Martins, Ralph N. , Fox, Nick C. , O’Connor, Antoinette , Vrillon, Agathe , Paquet, Claire , Poirier, Judes , Milà‐Alomà, Marta , Minguillón, Carolina , Suárez‐Calvet, Marc , Vanmechelen, Eugeen , Zetterberg, Henrik

Alzheimer's & Dementia | December 31, 2021 | Volume: 17 | Issue: S5 | Pages: No page available

10.1002/alz.056186 Get It

AbstractBackgroundBlood phosphorylated tau (p‐tau) has proven to be the primary candidate as an accessible and scalable biomarker for Alzheimer’s disease (AD). Both p‐tau181 and p‐tau217 are highly accurate to detect AD within dementia cases. Our recent work in cerebrospinal fluid, however, indicates p‐tau231 to be associated to incipient AD pathology. In light of this, we developed a Single molecule array (Simoa) to detect plasma p‐tau231 and assessed its performance in multiple domains, specifically, its ability to detect preclinical AD.MethodIn all cohorts, plasma p‐tau231 was quantified using an in‐house Simoa method developed at the Clinical Neurochemistry Laboratory, Gothenburg University, Sweden. Data presented in this study are samples acquired from Translational Biomarkers of Aging and Dementia (TRIAD, n=503), King’s College London (n=55), Mayo Clinic Study of Aging (n=145), KARVIAH (n=140), Baltimore Longitudinal Study of Aging (n=430), University College London (n=70), Paris University (n=213), PREVENT‐AD (n=257), University of California (n=309) and ALFA+ (n=385).ResultIn the TRIAD cohort, plasma p‐tau231 demonstrated high accuracy in determining AD from young individuals (AUC=0.95), Aβ‐ elderly (AUC=0.92), Aβ‐ MCI (AUC=0.88) and other neurodegenerative disorders (AUC=0.92). In an autopsy study, plasma p‐tau231 could detect neuropathologically confirmed AD amongst dementia cases (AUC=0.99). In comparing healthy elderly Aβ‐ and Aβ+ individuals, p‐tau231 predicted preclinical Aβ pathology (AUC=0.83). Furthermore, inflection points of the weighted regression curves demonstrate that increases in plasma p‐tau231 occur before plasma p‐tau181 as a function of Aβ deposition load. Plasma p‐tau231 data from additional cohorts will focus on cross‐sectional and longitudinal preclinical datasets. In addition, further data will show the performance of p‐tau231 in symptomatic and presymptomatic PSEN1/APP mutation carriers, memory clinic cohorts, longitudinal neuropathology confirmed and acute neurological injury.ConclusionPlasma p‐tau231 is a new biomarker specific for AD pathology and at higher concentrations relative to p‐tau181 and p‐tau217. Our initial results indicate that plasma p‐tau231 is equivalent to p‐tau181 in diagnostic utility but has greater potential as a biomarker to monitor emerging Aβ pathology. This presentation will give an overview of novel cross‐sectional and longitudinal plasma p‐tau231 data, in more than 3000 individuals, that encompasses the AD continuum, familial AD and other neurological conditions.