Evidence map›Paper›PMID 41307953›Full record

Trial reportThe Journal of clinical investigation2026

Early axonal degeneration linked to clinical decline in Alzheimer's disease progression revealed with diffusion MRI.

Zhaoyuan Gong, John P Laporte, Alexander Y Guo, Murat Bilgel, Jonghyun Bae, Noam Y Fox, Angelique de Rouen, Nathan Zhang, Aaliya Taranath, Rafael de Cabo and 4 more

Registry-linked trialAbstract readClinical Trial
In one paragraph

Trial report in The Journal of clinical investigation, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT00106899 (Alzheimer's Disease Neuroimaging Initiative), which is not on this map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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.

NCT00106899 completednot on this map

Alzheimer's Disease Neuroimaging Initiative

TypeobservationalSponsorAlzheimer's Disease Cooperative Study (ADCS)Ran2005 to 2011Enrolled818ConditionsAlzheimer's DiseaseArmsMagnetic Resonance Imaging (MRI), Positron Emission Tomography (PET), Lumbar Puncture (LP)
3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
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

14 authors.

Zhaoyuan GongNational Institute on Aging, National Institutes of Health, Baltimore, Maryland, USA.
John P LaporteNational Institute on Aging, National Institutes of Health, Baltimore, Maryland, USA.
Alexander Y GuoNational Institute on Aging, National Institutes of Health, Baltimore, Maryland, USA.
Murat BilgelNational Institute on Aging, National Institutes of Health, Baltimore, Maryland, USA.
Jonghyun BaeNational Institute on Aging, National Institutes of Health, Baltimore, Maryland, USA.
Noam Y FoxNational Institute on Aging, National Institutes of Health, Baltimore, Maryland, USA.
Angelique de RouenNational Institute on Aging, National Institutes of Health, Baltimore, Maryland, USA.
Nathan ZhangNational Institute on Aging, National Institutes of Health, Baltimore, Maryland, USA.
Aaliya TaranathNational Institute on Aging, National Institutes of Health, Baltimore, Maryland, USA.
Rafael de CaboNational Institute on Aging, National Institutes of Health, Baltimore, Maryland, USA.
Josephine M EganNational Institute on Aging, National Institutes of Health, Baltimore, Maryland, USA.
Luigi FerrucciNational Institute on Aging, National Institutes of Health, Baltimore, Maryland, USA.
Mustapha BouhraraNational Institute on Aging, National Institutes of Health, Baltimore, Maryland, USA.
Alzheimer’s Disease Neuroimaging Initiative

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUNDAxonal degeneration is believed to be an early hallmark of Alzheimer's disease (AD). This study investigated the temporal trajectory of axonal loss and its association with cognitive and functional decline using a dMRI-derived axonal density index (ADI).METHODSLongitudinal dMRI, CSF, and PET data from the ADNI study were analyzed, including 117 subjects that were cognitively normal (CN) and 88 that were cognitively impaired (CI), consisting of 74 individuals with mild cognitive impairment (MCI) and 14 with AD. Linear mixed-effects models examined group differences and associations between baseline and longitudinal changes in ADI, CSF, or PET biomarkers and clinical outcomes. Results derived from larger CSF (n = 527) and PET (tau-PET: n = 870; amyloid-PET: n = 1,581) datasets are also presented.RESULTSCompared with the CN group, the CI group exhibited significantly lower baseline ADI values and steeper longitudinal decline (P < 10-6). Lower baseline ADI predicted faster cognitive and functional decline in the CI group (MMSE: P = 0.03; CDR-SB: P < 10-4), and longitudinal decreases in ADI were associated with worsening clinical outcomes (MMSE: P = 0.001; CDR-SB: P < 10-12). Compared with CSF and PET biomarkers, ADI demonstrated superior sensitivity in tracking disease progression and matched these biomarkers in predicting future cognitive and functional decline. Furthermore, decreases in ADI were significantly associated with declines in clinical outcomes; this association was observed only with amyloid-PET, but not CSF, biomarkers.CONCLUSIONAxonal degeneration is an early and clinically meaningful feature of AD. ADI is a promising noninvasive biomarker for early detection, prognosis, and disease monitoring.TRIAL REGISTRATIONClinicalTrials.gov NCT00106899.FUNDINGThis work was supported by the National Institute on Aging Intramural Research Program.

Indexed as

Alzheimer DiseaseAxonsCognitive DysfunctionDiffusion Magnetic Resonance ImagingNerve DegenerationAgedAged, 80 and overBiomarkersDisease ProgressionFemaleHumansMaleMiddle AgedPositron-Emission TomographyBiomarkersBiomarkersClinical ResearchDementiaNeuroimagingNeurosciencePublic Health

Identifiers

PMID41307953
PMCPMC12867157

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.