_version_ 1784906089517547520
author Heinzinger, Nils
Maass, Anne
Berron, David
Yakupov, Renat
Peters, Oliver
Fiebach, Jochen
Villringer, Kersten
Preis, Lukas
Priller, Josef
Spruth, Eike Jacob
Altenstein, Slawek
Schneider, Anja
Fliessbach, Klaus
Wiltfang, Jens
Bartels, Claudia
Jessen, Frank
Maier, Franziska
Glanz, Wenzel
Buerger, Katharina
Janowitz, Daniel
Perneczky, Robert
Rauchmann, Boris-Stephan
Teipel, Stefan
Killimann, Ingo
Göerß, Doreen
Laske, Christoph
Munk, Matthias H.
Spottke, Annika
Roy, Nina
Heneka, Michael T.
Brosseron, Frederic
Dobisch, Laura
Ewers, Michael
Dechent, Peter
Haynes, John Dylan
Scheffler, Klaus
Wolfsgruber, Steffen
Kleineidam, Luca
Schmid, Matthias
Berger, Moritz
Düzel, Emrah
Ziegler, Gabriel
author_facet Heinzinger, Nils
Maass, Anne
Berron, David
Yakupov, Renat
Peters, Oliver
Fiebach, Jochen
Villringer, Kersten
Preis, Lukas
Priller, Josef
Spruth, Eike Jacob
Altenstein, Slawek
Schneider, Anja
Fliessbach, Klaus
Wiltfang, Jens
Bartels, Claudia
Jessen, Frank
Maier, Franziska
Glanz, Wenzel
Buerger, Katharina
Janowitz, Daniel
Perneczky, Robert
Rauchmann, Boris-Stephan
Teipel, Stefan
Killimann, Ingo
Göerß, Doreen
Laske, Christoph
Munk, Matthias H.
Spottke, Annika
Roy, Nina
Heneka, Michael T.
Brosseron, Frederic
Dobisch, Laura
Ewers, Michael
Dechent, Peter
Haynes, John Dylan
Scheffler, Klaus
Wolfsgruber, Steffen
Kleineidam, Luca
Schmid, Matthias
Berger, Moritz
Düzel, Emrah
Ziegler, Gabriel
author_sort Heinzinger, Nils
collection PubMed
description BACKGROUND: The NIA-AA proposed amyloid-tau-neurodegeneration (ATN) as a classification system for AD biomarkers. The amyloid cascade hypothesis (ACH) implies a sequence across ATN groups that patients might undergo during transition from healthy towards AD: A−T−N−➔A+T−N−➔A+T+N−➔A+T+N+. Here we assess the evidence for monotonic brain volume decline for this particular (amyloid-conversion first, tau-conversion second, N-conversion last) and alternative progressions using voxel-based morphometry (VBM) in a large cross-sectional MRI cohort. METHODS: We used baseline data of the DELCODE cohort of 437 subjects (127 controls, 168 SCD, 87 MCI, 55 AD patients) which underwent lumbar puncture, MRI scanning, and neuropsychological assessment. ATN classification was performed using CSF-Aβ42/Aβ40 (A+/−), CSF phospho-tau (T+/−), and adjusted hippocampal volume or CSF total-tau (N+/−). We compared voxel-wise model evidence for monotonic decline of gray matter volume across various sequences over ATN groups using the Bayesian Information Criterion (including also ROIs of Braak stages). First, face validity of the ACH transition sequence A−T−N−➔A+T−N−➔A+T+N−➔A+T+N+ was compared against biologically less plausible (permuted) sequences among AD continuum ATN groups. Second, we evaluated evidence for 6 monotonic brain volume progressions from A−T−N− towards A+T+N+ including also non-AD continuum ATN groups. RESULTS: The ACH-based progression A−T−N−➔A+T−N−➔A+T+N−➔A+T+N+ was consistent with cognitive decline and clinical diagnosis. Using hippocampal volume for operationalization of neurodegeneration (N), ACH was most evident in 9% of gray matter predominantly in the medial temporal lobe. Many cortical regions suggested alternative non-monotonic volume progressions over ACH progression groups, which is compatible with an early amyloid-related tissue expansion or sampling effects, e.g., due to brain reserve. Volume decline in 65% of gray matter was consistent with a progression where A status converts before T or N status (i.e., ACH/ANT) when compared to alternative sequences (TAN/TNA/NAT/NTA). Brain regions earlier affected by tau tangle deposition (Braak stage I-IV, MTL, limbic system) present stronger evidence for volume decline than late Braak stage ROIs (V/VI, cortical regions). Similar findings were observed when using CSF total-tau for N instead. CONCLUSION: Using the ATN classification system, early amyloid status conversion (before tau and neurodegeneration) is associated with brain volume loss observed during AD progression. The ATN system and the ACH are compatible with monotonic progression of MTL atrophy. TRIAL REGISTRATION: DRKS00007966, 04/05/2015, retrospectively registered. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13195-023-01185-x.
format Online
Article
Text
id pubmed-10009950
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-100099502023-03-14 Exploring the ATN classification system using brain morphology Heinzinger, Nils Maass, Anne Berron, David Yakupov, Renat Peters, Oliver Fiebach, Jochen Villringer, Kersten Preis, Lukas Priller, Josef Spruth, Eike Jacob Altenstein, Slawek Schneider, Anja Fliessbach, Klaus Wiltfang, Jens Bartels, Claudia Jessen, Frank Maier, Franziska Glanz, Wenzel Buerger, Katharina Janowitz, Daniel Perneczky, Robert Rauchmann, Boris-Stephan Teipel, Stefan Killimann, Ingo Göerß, Doreen Laske, Christoph Munk, Matthias H. Spottke, Annika Roy, Nina Heneka, Michael T. Brosseron, Frederic Dobisch, Laura Ewers, Michael Dechent, Peter Haynes, John Dylan Scheffler, Klaus Wolfsgruber, Steffen Kleineidam, Luca Schmid, Matthias Berger, Moritz Düzel, Emrah Ziegler, Gabriel Alzheimers Res Ther Research BACKGROUND: The NIA-AA proposed amyloid-tau-neurodegeneration (ATN) as a classification system for AD biomarkers. The amyloid cascade hypothesis (ACH) implies a sequence across ATN groups that patients might undergo during transition from healthy towards AD: A−T−N−➔A+T−N−➔A+T+N−➔A+T+N+. Here we assess the evidence for monotonic brain volume decline for this particular (amyloid-conversion first, tau-conversion second, N-conversion last) and alternative progressions using voxel-based morphometry (VBM) in a large cross-sectional MRI cohort. METHODS: We used baseline data of the DELCODE cohort of 437 subjects (127 controls, 168 SCD, 87 MCI, 55 AD patients) which underwent lumbar puncture, MRI scanning, and neuropsychological assessment. ATN classification was performed using CSF-Aβ42/Aβ40 (A+/−), CSF phospho-tau (T+/−), and adjusted hippocampal volume or CSF total-tau (N+/−). We compared voxel-wise model evidence for monotonic decline of gray matter volume across various sequences over ATN groups using the Bayesian Information Criterion (including also ROIs of Braak stages). First, face validity of the ACH transition sequence A−T−N−➔A+T−N−➔A+T+N−➔A+T+N+ was compared against biologically less plausible (permuted) sequences among AD continuum ATN groups. Second, we evaluated evidence for 6 monotonic brain volume progressions from A−T−N− towards A+T+N+ including also non-AD continuum ATN groups. RESULTS: The ACH-based progression A−T−N−➔A+T−N−➔A+T+N−➔A+T+N+ was consistent with cognitive decline and clinical diagnosis. Using hippocampal volume for operationalization of neurodegeneration (N), ACH was most evident in 9% of gray matter predominantly in the medial temporal lobe. Many cortical regions suggested alternative non-monotonic volume progressions over ACH progression groups, which is compatible with an early amyloid-related tissue expansion or sampling effects, e.g., due to brain reserve. Volume decline in 65% of gray matter was consistent with a progression where A status converts before T or N status (i.e., ACH/ANT) when compared to alternative sequences (TAN/TNA/NAT/NTA). Brain regions earlier affected by tau tangle deposition (Braak stage I-IV, MTL, limbic system) present stronger evidence for volume decline than late Braak stage ROIs (V/VI, cortical regions). Similar findings were observed when using CSF total-tau for N instead. CONCLUSION: Using the ATN classification system, early amyloid status conversion (before tau and neurodegeneration) is associated with brain volume loss observed during AD progression. The ATN system and the ACH are compatible with monotonic progression of MTL atrophy. TRIAL REGISTRATION: DRKS00007966, 04/05/2015, retrospectively registered. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13195-023-01185-x. BioMed Central 2023-03-13 /pmc/articles/PMC10009950/ /pubmed/36915139 http://dx.doi.org/10.1186/s13195-023-01185-x Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Heinzinger, Nils
Maass, Anne
Berron, David
Yakupov, Renat
Peters, Oliver
Fiebach, Jochen
Villringer, Kersten
Preis, Lukas
Priller, Josef
Spruth, Eike Jacob
Altenstein, Slawek
Schneider, Anja
Fliessbach, Klaus
Wiltfang, Jens
Bartels, Claudia
Jessen, Frank
Maier, Franziska
Glanz, Wenzel
Buerger, Katharina
Janowitz, Daniel
Perneczky, Robert
Rauchmann, Boris-Stephan
Teipel, Stefan
Killimann, Ingo
Göerß, Doreen
Laske, Christoph
Munk, Matthias H.
Spottke, Annika
Roy, Nina
Heneka, Michael T.
Brosseron, Frederic
Dobisch, Laura
Ewers, Michael
Dechent, Peter
Haynes, John Dylan
Scheffler, Klaus
Wolfsgruber, Steffen
Kleineidam, Luca
Schmid, Matthias
Berger, Moritz
Düzel, Emrah
Ziegler, Gabriel
Exploring the ATN classification system using brain morphology
title Exploring the ATN classification system using brain morphology
title_full Exploring the ATN classification system using brain morphology
title_fullStr Exploring the ATN classification system using brain morphology
title_full_unstemmed Exploring the ATN classification system using brain morphology
title_short Exploring the ATN classification system using brain morphology
title_sort exploring the atn classification system using brain morphology
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10009950/
https://www.ncbi.nlm.nih.gov/pubmed/36915139
http://dx.doi.org/10.1186/s13195-023-01185-x
work_keys_str_mv AT heinzingernils exploringtheatnclassificationsystemusingbrainmorphology
AT maassanne exploringtheatnclassificationsystemusingbrainmorphology
AT berrondavid exploringtheatnclassificationsystemusingbrainmorphology
AT yakupovrenat exploringtheatnclassificationsystemusingbrainmorphology
AT petersoliver exploringtheatnclassificationsystemusingbrainmorphology
AT fiebachjochen exploringtheatnclassificationsystemusingbrainmorphology
AT villringerkersten exploringtheatnclassificationsystemusingbrainmorphology
AT preislukas exploringtheatnclassificationsystemusingbrainmorphology
AT prillerjosef exploringtheatnclassificationsystemusingbrainmorphology
AT sprutheikejacob exploringtheatnclassificationsystemusingbrainmorphology
AT altensteinslawek exploringtheatnclassificationsystemusingbrainmorphology
AT schneideranja exploringtheatnclassificationsystemusingbrainmorphology
AT fliessbachklaus exploringtheatnclassificationsystemusingbrainmorphology
AT wiltfangjens exploringtheatnclassificationsystemusingbrainmorphology
AT bartelsclaudia exploringtheatnclassificationsystemusingbrainmorphology
AT jessenfrank exploringtheatnclassificationsystemusingbrainmorphology
AT maierfranziska exploringtheatnclassificationsystemusingbrainmorphology
AT glanzwenzel exploringtheatnclassificationsystemusingbrainmorphology
AT buergerkatharina exploringtheatnclassificationsystemusingbrainmorphology
AT janowitzdaniel exploringtheatnclassificationsystemusingbrainmorphology
AT perneczkyrobert exploringtheatnclassificationsystemusingbrainmorphology
AT rauchmannborisstephan exploringtheatnclassificationsystemusingbrainmorphology
AT teipelstefan exploringtheatnclassificationsystemusingbrainmorphology
AT killimanningo exploringtheatnclassificationsystemusingbrainmorphology
AT goerßdoreen exploringtheatnclassificationsystemusingbrainmorphology
AT laskechristoph exploringtheatnclassificationsystemusingbrainmorphology
AT munkmatthiash exploringtheatnclassificationsystemusingbrainmorphology
AT spottkeannika exploringtheatnclassificationsystemusingbrainmorphology
AT roynina exploringtheatnclassificationsystemusingbrainmorphology
AT henekamichaelt exploringtheatnclassificationsystemusingbrainmorphology
AT brosseronfrederic exploringtheatnclassificationsystemusingbrainmorphology
AT dobischlaura exploringtheatnclassificationsystemusingbrainmorphology
AT ewersmichael exploringtheatnclassificationsystemusingbrainmorphology
AT dechentpeter exploringtheatnclassificationsystemusingbrainmorphology
AT haynesjohndylan exploringtheatnclassificationsystemusingbrainmorphology
AT schefflerklaus exploringtheatnclassificationsystemusingbrainmorphology
AT wolfsgrubersteffen exploringtheatnclassificationsystemusingbrainmorphology
AT kleineidamluca exploringtheatnclassificationsystemusingbrainmorphology
AT schmidmatthias exploringtheatnclassificationsystemusingbrainmorphology
AT bergermoritz exploringtheatnclassificationsystemusingbrainmorphology
AT duzelemrah exploringtheatnclassificationsystemusingbrainmorphology
AT zieglergabriel exploringtheatnclassificationsystemusingbrainmorphology
AT exploringtheatnclassificationsystemusingbrainmorphology