Evidence map›Paper›PMID 39029606›Full record

ArticleNeuroImage2024

Retrospective analysis of Braak stage- and APOE4 allele-dependent associations between MR spectroscopy and markers of tau and neurodegeneration in cognitively unimpaired elderly.

Anna M Chen, Martin Gajdošík, Wajiha Ahmed, Sinyeob Ahn, James S Babb, Esther M Blessing, Allal Boutajangout, Mony J de Leon, Ludovic Debure, Naomi Gaggi and 15 more

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In one paragraph

Article in NeuroImage, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

25 authors.

Anna M ChenBernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, NYU Grossman School of Medicine, New York, NY, USA; Center for Advanced Imaging Innovation and Research (CAI(2)R), Department of Radiology, NYU Grossman School of Medicine, New York, NY, USA; Vilcek Institute of Graduate Biomedical Sciences, NYU Grossman School of Medicine, New York, NY, USA.
Martin GajdošíkBernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, NYU Grossman School of Medicine, New York, NY, USA; Center for Advanced Imaging Innovation and Research (CAI(2)R), Department of Radiology, NYU Grossman School of Medicine, New York, NY, USA; Department of Biomedical Engineering, Columbia University, New York, NY, USA.
Wajiha AhmedCenter for Cognitive Neurology, Department of Neurology, NYU Grossman School of Medicine, New York, NY, USA.
Sinyeob AhnSiemens Medical Solutions USA Inc., Malvern, PA, USA.
James S BabbBernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, NYU Grossman School of Medicine, New York, NY, USA; Center for Advanced Imaging Innovation and Research (CAI(2)R), Department of Radiology, NYU Grossman School of Medicine, New York, NY, USA.
Esther M BlessingDepartment of Psychiatry, NYU Grossman School of Medicine, New York, NY, USA; Healthy Brain Aging and Sleep Center, NYU Langone Health, New York, NY, USA.
Allal BoutajangoutCenter for Cognitive Neurology, Department of Neurology, NYU Grossman School of Medicine, New York, NY, USA; Department of Neuroscience and Physiology, NYU Grossman School of Medicine, New York, NY, USA.
Mony J de LeonRetired Director, Center for Brain Health, Department of Psychiatry, NYU Grossman School of Medicine, New York, NY, USA; Brain Health Imaging Institute, Department of Radiology, Weill Cornell Medicine, New York, NY, USA.
Ludovic DebureCenter for Cognitive Neurology, Department of Neurology, NYU Grossman School of Medicine, New York, NY, USA.
Naomi GaggiDepartment of Psychiatry, NYU Grossman School of Medicine, New York, NY, USA; Healthy Brain Aging and Sleep Center, NYU Langone Health, New York, NY, USA.
Mia GajdošíkBernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, NYU Grossman School of Medicine, New York, NY, USA; Center for Advanced Imaging Innovation and Research (CAI(2)R), Department of Radiology, NYU Grossman School of Medicine, New York, NY, USA.
Ajax GeorgeBernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, NYU Grossman School of Medicine, New York, NY, USA; Center for Advanced Imaging Innovation and Research (CAI(2)R), Department of Radiology, NYU Grossman School of Medicine, New York, NY, USA.
Mobeena GhumanCenter for Cognitive Neurology, Department of Neurology, NYU Grossman School of Medicine, New York, NY, USA.
Lidia GlodzikBrain Health Imaging Institute, Department of Radiology, Weill Cornell Medicine, New York, NY, USA.
Patrick HarveyBrain Health Imaging Institute, Department of Radiology, Weill Cornell Medicine, New York, NY, USA.
Christoph JuchemDepartment of Biomedical Engineering, Columbia University, New York, NY, USA; Department of Radiology, Columbia University, New York, NY, USA.
Karyn MarshCenter for Cognitive Neurology, Department of Neurology, NYU Grossman School of Medicine, New York, NY, USA.
Rosemary PeraltaBernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, NYU Grossman School of Medicine, New York, NY, USA; Center for Advanced Imaging Innovation and Research (CAI(2)R), Department of Radiology, NYU Grossman School of Medicine, New York, NY, USA.
Henry RusinekBernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, NYU Grossman School of Medicine, New York, NY, USA; Center for Advanced Imaging Innovation and Research (CAI(2)R), Department of Radiology, NYU Grossman School of Medicine, New York, NY, USA.
Sulaiman SheriffDepartment of Radiology, University of Miami Miller School of Medicine, Miami, FL, USA.
Alok VedvyasCenter for Cognitive Neurology, Department of Neurology, NYU Grossman School of Medicine, New York, NY, USA.
Thomas WisniewskiCenter for Cognitive Neurology, Department of Neurology, NYU Grossman School of Medicine, New York, NY, USA; Department of Psychiatry, NYU Grossman School of Medicine, New York, NY, USA; Department of Pathology, NYU Grossman School of Medicine, New York, NY, USA.
Helena ZhengBernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, NYU Grossman School of Medicine, New York, NY, USA; Center for Advanced Imaging Innovation and Research (CAI(2)R), Department of Radiology, NYU Grossman School of Medicine, New York, NY, USA.
Ricardo OsorioDepartment of Psychiatry, NYU Grossman School of Medicine, New York, NY, USA; Healthy Brain Aging and Sleep Center, NYU Langone Health, New York, NY, USA. Electronic address: ricardo.osorio@nyulangone.org.
Ivan I KirovBernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, NYU Grossman School of Medicine, New York, NY, USA; Center for Advanced Imaging Innovation and Research (CAI(2)R), Department of Radiology, NYU Grossman School of Medicine, New York, NY, USA; Vilcek Institute of Graduate Biomedical Sciences, NYU Grossman School of Medicine, New York, NY, USA; Center for Cognitive Neurology, Department of Neurology, NYU Grossman School of Medicine, New York, NY, USA; Department of Neurology, NYU Grossman School of Medicine, New York, NY, USA. Electronic address: ivan.kirov@nyulangone.org.

Funding

Research Education ComponentP30AG066512 · NIA · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI Mary Sherman Mittelman · 2020 to 2026
$28.4M
Transgenic/Behavior CoreP01AG060882 · NIA · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI SHAO, YONGZHAO · 2020 to 2024
$12.0M
PREDICTORS OF COGNITIVE DECLINE IN NORMAL AGINGR01AG012101 · NIA · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI DE LEON, MONY J., RUSINEK, HENRY · 1993 to 2015
$6.7M
Slow wave sleep (SWS) and the effect of African ancestry on amyloid burden, a longitudinal studyR01AG056531 · NIA · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI JEAN-LOUIS, GIRARDIN, OSORIO, RICARDO S · 2018 to 2022
$6.7M
Blood Pressure, Cerebral Perfusion & Cognitive Outcome In Hypertension.R01HL111724 · NHLBI · WEILL MEDICAL COLL OF CORNELL UNIV · PI GLODZIK, LIDIA · 2012 to 2025
$6.6M
CLINICAL CORRELATES OF LONGITUDINAL PET CHANGES IN ADR01AG013616 · NIA · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI DE LEON, MONY J. · 1995 to 2013
$6.2M
Promoting Academic Workforce Development in Behavioral Medicine and Sleep Disorders ResearchR25HL105444 · NHLBI · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI Girardin Jean-Louis, Tatjana Rundek · 2010 to 2026
$5.8M
Biomarkers in Early Alzheimer's Disease (AD).R01AG022374 · NIA · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI DE LEON, MONY J., RUSINEK, HENRY · 2004 to 2015
$5.2M
Sleep Aging and Risk for Alzheimer's disease-Resubmission-1R01AG056031 · NIA · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI OSORIO, RICARDO S · 2018 to 2022
$4.4M
Cellular Viscosity as a Marker for Alzheimer’s Disease Pathology: A Combined Multiparametric MR Spectroscopy and PET StudyR01AG080672 · NIA · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI Ivan Ivanov Kirov · 2023 to 2026
$3.0M
Sleep Disordered Breathing in normal elderly and risk for Alzheimers DiseaseR01HL118624 · NHLBI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI OSORIO, RICARDO S · 2013 to 2016
$2.7M
Multidisciplinary Research Training in Sleep ScienceT32HL160511 · NHLBI · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI INDU A AYAPPA, ANDREW W VARGA · 2023 to 2026
$1.5M
NHLBI NIH HHS R01 HL111724NHLBI NIH HHS R01 HL118624NHLBI NIH HHS R25 HL105444NHLBI NIH HHS T32 HL160511NIA NIH HHS P01 AG060882NIA NIH HHS P30 AG066512NIA NIH HHS R01 AG012101NIA NIH HHS R01 AG013616NIA NIH HHS R01 AG022374NIA NIH HHS R01 AG056031NIA NIH HHS R01 AG056531NIA NIH HHS R01 AG080672NIA NIH HHS R21 AG049348NIA NIH HHS R21 AG055002
6 · The paper itself

Abstract

purposeThe pathological hallmarks of Alzheimer's disease (AD), amyloid, tau, and associated neurodegeneration, are present in the cortical gray matter (GM) years before symptom onset, and at significantly greater levels in carriers of the apolipoprotein E4 (APOE4) allele. Their respective biomarkers, A/T/N, have been found to correlate with aspects of brain biochemistry, measured with magnetic resonance spectroscopy (MRS), indicating a potential for MRS to augment the A/T/N framework for staging and prediction of AD. Unfortunately, the relationships between MRS and A/T/N biomarkers are unclear, largely due to a lack of studies examining them in the context of the spatial and temporal model of T/N progression. Advanced MRS acquisition and post-processing approaches have enabled us to address this knowledge gap and test the hypotheses, that glutamate-plus-glutamine (Glx) and N-acetyl-aspartate (NAA), metabolites reflecting synaptic and neuronal health, respectively, measured from regions on the Braak stage continuum, correlate with: (i) cerebrospinal fluid (CSF) p-tau181 level (T), and (ii) hippocampal volume or cortical thickness of parietal lobe GM (N). We hypothesized that these correlations will be moderated by Braak stage and APOE4 genotype.

methodsWe conducted a retrospective imaging study of 34 cognitively unimpaired elderly individuals who received APOE4 genotyping and lumbar puncture from pre-existing prospective studies at the NYU Grossman School of Medicine between October 2014 and January 2019. Subjects returned for their imaging exam between April 2018 and February 2020. Metabolites were measured from the left hippocampus (Braak II) using a single-voxel semi-adiabatic localization by adiabatic selective refocusing sequence; and from the bilateral posterior cingulate cortex (PCC; Braak IV), bilateral precuneus (Braak V), and bilateral precentral gyrus (Braak VI) using a multi-voxel echo-planar spectroscopic imaging sequence. Pearson and Spearman correlations were used to examine the relationships between absolute levels of choline, creatine, myo-inositol, Glx, and NAA and CSF p-tau181, and between these metabolites and hippocampal volume or parietal cortical thicknesses. Covariates included age, sex, years of education, Fazekas score, and months between CSF collection and MRI exam.

resultsThere was a direct correlation between hippocampal Glx and CSF p-tau181 in APOE4 carriers (Pearson's r = 0.76, p = 0.02), but not after adjusting for covariates. In the entire cohort, there was a direct correlation between hippocampal NAA and hippocampal volume (Spearman's r = 0.55, p = 0.001), even after adjusting for age and Fazekas score (Spearman's r = 0.48, p = 0.006). This relationship was observed only in APOE4 carriers (Pearson's r = 0.66, p = 0.017), and was also retained after adjustment (Pearson's r = 0.76, p = 0.008; metabolite-by-carrier interaction p = 0.03). There were no findings in the PCC, nor in the negative control (late Braak stage) regions of the precuneus and precentral gyrus.

conclusionsOur findings are in line with the spatially- and temporally-resolved Braak staging model of pathological severity in which the hippocampus is affected earlier than the PCC. The correlations, between MRS markers of synaptic and neuronal health and, respectively, T and N pathology, were found exclusively within APOE4 carriers, suggesting a connection with AD pathological change, rather than with normal aging. We therefore conclude that MRS has the potential to augment early A/T/N staging, with the hippocampus serving as a more sensitive MRS target compared to the PCC.

Indexed as

Alzheimer DiseaseApolipoprotein E4BiomarkersMagnetic Resonance Spectroscopytau ProteinsAgedAged, 80 and overAllelesApolipoproteins EAspartic AcidFemaleHippocampusHumansMaleMiddle AgedRetrospective StudiesApoE protein, humanApolipoprotein E4Apolipoproteins EAspartic AcidBiomarkersMAPT protein, humanN-acetylaspartatetau ProteinsAPOE genotypeCognitively unimpairedCSF p-tau181GlxHippocampusSpectroscopy

Identifiers

PMID39029606
PMCPMC11404707

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