Evidence map›Paper›PMID 40978711›Full record

ReviewClinical interventions in aging2025

Pathological Mechanisms and Molecular Imaging Advances in Alzheimer's Disease.

Chang Liu, Yuxuan Meng, Rongrong Liu, Zhicheng Wang, Hongguang Zhao

Abstract readReview
In one paragraph

Review in Clinical interventions in aging, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
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

5 authors.

Chang Liu *Department of Nuclear Medicine, The First Hospital of Jilin University, Changchun, Jilin, People's Republic of China.
Yuxuan Meng *National Health Commission (NHC) Key Laboratory of Radiobiology, School of Public Health, Jilin University, Changchun, Jilin, People's Republic of China.ORCID 0009-0002-1136-1357
Rongrong LiuNational Health Commission (NHC) Key Laboratory of Radiobiology, School of Public Health, Jilin University, Changchun, Jilin, People's Republic of China.
Zhicheng WangNational Health Commission (NHC) Key Laboratory of Radiobiology, School of Public Health, Jilin University, Changchun, Jilin, People's Republic of China.ORCID 0000-0002-7617-3165
Hongguang ZhaoDepartment of Nuclear Medicine, The First Hospital of Jilin University, Changchun, Jilin, People's Republic of China.ORCID 0000-0002-9455-3743

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Alzheimer's disease (AD) is one of the most prevalent neurodegenerative disorders globally, where early diagnosis plays a pivotal role in delaying disease progression and improving patient outcomes. In recent years, the rapid, multidisciplinary advances in molecular imaging and emerging technologies have significantly advanced our understanding of AD pathogenesis, early diagnosis, and intervention strategies. Imaging tools such as positron emission tomography (PET) and magnetic resonance imaging (MRI), alongside emerging technologies like retinal imaging, nanosensors, and quantum dots (QDs), are continuously enhancing AD diagnostic pathways. Studies on the gut microbiome and extracellular vesicles (EVs) offer novel insights into AD pathogenesis. Furthermore, AI-driven multimodal data fusion techniques hold great promise for improving diagnostic accuracy. Future research will increasingly focus on multi-target synergistic intervention strategies, standardization of multimodal imaging, and the integration of AI with molecular diagnostics and treatment to enable early detection and personalized precision therapy for AD.

Indexed as

Alzheimer DiseaseMolecular ImagingEarly DiagnosisExtracellular VesiclesGastrointestinal MicrobiomeHumansMagnetic Resonance ImagingMultimodal ImagingPositron-Emission TomographyAlzheimer’s diseasegut microbiomemagnetic resonance imagingmolecular imagingpositron emission tomography

Identifiers

PMID40978711
PMCPMC12449275

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

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.