Evidence map›Paper›PMID 42151724›Full record

ArticleAlzheimer's & dementia : the journal of the Alzheimer's Association2026

Neurovascular-metabolic dysregulation, metabolic connectomics, and metabolic functional changes in Alzheimer's disease: A preclinical and clinical comparison.

Juan Antonio K Chong Chie, Scott A Persohn, Olivia R Simcox, Alyssa Collins, Paul Salama, Paul R Territo, Alzheimer's Disease Neuroimaging Initiative and MODEL‐AD consortium

Abstract readComparative Study
In one paragraph

Article in Alzheimer's & dementia : the journal of the Alzheimer's Association, 2026. 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. Review
  2. 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

7 authors.

Juan Antonio K Chong ChieStark Neuroscience Research Institute, Indiana University School of Medicine, Indianapolis, Indiana, USA.ORCID https://orcid.org/0000-0003-3111-2294
Scott A PersohnStark Neuroscience Research Institute, Indiana University School of Medicine, Indianapolis, Indiana, USA.
Olivia R SimcoxWood College of Osteopathic Medicine, Marian University, Indianapolis, Indiana, USA.
Alyssa CollinsStark Neuroscience Research Institute, Indiana University School of Medicine, Indianapolis, Indiana, USA.
Paul SalamaSchool of Electrical and Computer Engineering, Purdue University, Indianapolis, Indiana, USA.
Paul R TerritoStark Neuroscience Research Institute, Indiana University School of Medicine, Indianapolis, Indiana, USA.ORCID https://orcid.org/0000-0003-0460-332X
Alzheimer's Disease Neuroimaging Initiative and MODEL‐AD consortium

Funding

Alzheimer's Disease Neuroimaging Initiative - SupplementU01AG024904 · NIA · NORTHERN CALIFORNIA INSTITUTE RES &EDUC · PI WEINER, MICHAEL W · 2004 to 2015
$121.0M
The IU/JAX Alzheimer's Disease Precision Models Center: Rat F344U54AG054345 · NIA · INDIANA UNIVERSITY INDIANAPOLIS · PI Gareth R Howell · 2016 to 2026
$95.6M
Training Grant on Alzheimer's Disease and ADRD at Indiana UniversityT32AG071444 · NIA · INDIANA UNIVERSITY INDIANAPOLIS · PI GARY E. LANDRETH, Bruce T Lamb · 2021 to 2026
$2.8M
NIA NIH HHS T32 AG071444NIA NIH HHS U01 AG024904NIA NIH HHS U54 AG054345Stark Neuroscience Research Institute T32AG071444Stark Neuroscience Research Institute U54AG054345
6 · The paper itself

Abstract

Historically, imaging diagnostics in Alzheimer's disease (AD) have focused primarily on amyloid and tau accumulation; however, recent work suggests that neurometabolic and vascular dysregulation (MVD) may precede protein deposition and persist throughout the disease spectrum, preclinically and clinically. Translating these findings between human patients and preclinical mouse models remains challenging due to cross-species differences. To address this, regional MVD phenotypes were identified using cerebral metabolism and blood flow, and region-set enrichment analysis (RSEA) was conducted to assess brain functional category (BFC) changes based on metabolic variations, facilitating systematic cross-species comparisons. Clinically, MVD showed progressive alterations across the AD spectrum, while mouse models demonstrated similar genotype- and age-dependent changes. Although direct one-to-one regional correspondence is limited, RSEA revealed changes in comparable BFCs. Our findings suggest that imaging-based MVD mapping and RSEAs can bridge species differences, offering a translational framework to support early diagnostics of AD, enhance disease stratification, and enable therapeutic testing.

Indexed as

Alzheimer DiseaseBrainConnectomeAgedAged, 80 and overAnimalsCerebrovascular CirculationDisease Models, AnimalFemaleHumansMagnetic Resonance ImagingMaleMiceMice, TransgenicPositron-Emission Tomographybiomarkersbrain reorganizationclinicalconnectomicsdysregulationmetabolismperfusionperspectivepreclinicaltranslationaluncoupling

Identifiers

PMID42151724
PMCPMC13183595

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

None linked

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.