Evidence map›Paper›PMID 35449079›Full record

ReviewTranslational neurodegeneration2022

Advances in the development of new biomarkers for Alzheimer's disease.

Timofey O Klyucherev, Pawel Olszewski, Alena A Shalimova, Vladimir N Chubarev, Vadim V Tarasov, Misty M Attwood, Stina Syvänen, Helgi B Schiöth

Open access · goldAbstract readReview
In one paragraph

Review in Translational neurodegeneration, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 130 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
130citing papers in PubMed, 5 pooled it
24.6field-weighted citation impact, top 1% of its field
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

130 citing papers in PubMed, 5 syntheses or guidelines pooled it, 220 citations in OpenAlex.

  1. The Footprint ofCurrent Alzheimer research · 2025
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  6. ABBV-552 in patients with mild Alzheimer's disease: a randomized phase IIb trial.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
    Trial
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  18. The evolving landscape of amyloid-targeting therapies in Alzheimer's disease: progress and challenges.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2026
    Review
  19. Review
  20. Article

70 more citing papers are in PubMed but not listed here.

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

8 authors at 2 institutions in 2 countries.

Timofey O KlyucherevDepartment of Neuroscience, Functional Pharmacology, University of Uppsala, Uppsala, Sweden.
Pawel OlszewskiDepartment of Neuroscience, Functional Pharmacology, University of Uppsala, Uppsala, Sweden.
Alena A ShalimovaDepartment of Neuroscience, Functional Pharmacology, University of Uppsala, Uppsala, Sweden.
Vladimir N ChubarevInstitute of Translational Medicine and Biotechnology, I. M. Sechenov First Moscow State Medical University, Moscow, Russia.
Vadim V TarasovDepartment of Pharmacology, Institute of Pharmacy, I. M. Sechenov First Moscow State Medical University, Moscow, Russia.
Misty M AttwoodDepartment of Neuroscience, Functional Pharmacology, University of Uppsala, Uppsala, Sweden.
Stina SyvänenDepartment of Public Health and Caring Sciences, Rudbeck Laboratory, Uppsala University, Uppsala, Sweden.
Helgi B SchiöthDepartment of Neuroscience, Functional Pharmacology, University of Uppsala, Uppsala, Sweden. Helgi.Schioth@neuro.uu.se.
Uppsala University · SESechenov University · RU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Alzheimer's disease (AD) is a complex, heterogeneous, progressive disease and is the most common type of neurodegenerative dementia. The prevalence of AD is expected to increase as the population ages, placing an additional burden on national healthcare systems. There is a large need for new diagnostic tests that can detect AD at an early stage with high specificity at relatively low cost. The development of modern analytical diagnostic tools has made it possible to determine several biomarkers of AD with high specificity, including pathogenic proteins, markers of synaptic dysfunction, and markers of inflammation in the blood. There is a considerable potential in using microRNA (miRNA) as markers of AD, and diagnostic studies based on miRNA panels suggest that AD could potentially be determined with high accuracy for individual patients. Studies of the retina with improved methods of visualization of the fundus are also showing promising results for the potential diagnosis of the disease. This review focuses on the recent developments of blood, plasma, and ocular biomarkers for the diagnosis of AD.

Indexed as

Alzheimer DiseaseMicroRNAsAmyloid beta-PeptidesBiomarkersHumansRetinaAmyloid beta-PeptidesBiomarkersMicroRNAsAlzheimer's diseaseAmyloid beta peptidesBiomarkersBloodCytokinesInflammationMicroRNAOcular biomarkers

Identifiers

PMID35449079
PMCPMC9027827
OpenAlexW4224247151

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.