Evidence map›Paper›PMID 35887259›Full record

ArticleInternational journal of molecular sciences2022

Prognosis of Alzheimer's Disease Using Quantitative Mass Spectrometry of Human Blood Plasma Proteins and Machine Learning.

Alexey S Kononikhin, Natalia V Zakharova, Savva D Semenov, Anna E Bugrova, Alexander G Brzhozovskiy, Maria I Indeykina, Yana B Fedorova, Igor V Kolykhalov, Polina A Strelnikova, Anna Yu Ikonnikova and 3 more

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
3.3field-weighted citation impact, top 7% 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

20 citing papers in PubMed, 29 citations in OpenAlex.

  1. Review
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  9. Distinct inflammatory profiles in young-onset versus late-onset Alzheimer's disease.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
    Article
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  17. Review
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  19. Article
  20. A Perspective: Challenges in Dementia Research.Medicina (Kaunas, Lithuania) · 2022
    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

13 authors at 5 institutions in 1 country.

Alexey S KononikhinCenter for Molecular and Cellular Biology, Skolkovo Institute of Science and Technology, 121205 Moscow, Russia.
Natalia V ZakharovaEmanuel Institute for Biochemical Physics, Russian Academy of Sciences, 119334 Moscow, Russia.
Savva D SemenovMoscow Institute of Physics and Technology, 141700 Dolgoprudny, Russia.
Anna E BugrovaCenter for Molecular and Cellular Biology, Skolkovo Institute of Science and Technology, 121205 Moscow, Russia.
Alexander G BrzhozovskiyCenter for Molecular and Cellular Biology, Skolkovo Institute of Science and Technology, 121205 Moscow, Russia.
Maria I IndeykinaCenter for Molecular and Cellular Biology, Skolkovo Institute of Science and Technology, 121205 Moscow, Russia.ORCID 0000-0002-8177-7449
Yana B FedorovaMental Health Research Center, 115522 Moscow, Russia.
Igor V KolykhalovMental Health Research Center, 115522 Moscow, Russia.
Polina A StrelnikovaEmanuel Institute for Biochemical Physics, Russian Academy of Sciences, 119334 Moscow, Russia.ORCID 0000-0001-6513-8009
Anna Yu IkonnikovaCenter for Precision Genome Editing and Genetic Technologies for Biomedicine, Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, 119991 Moscow, Russia.ORCID 0000-0002-8434-5916
Dmitry A GryadunovCenter for Precision Genome Editing and Genetic Technologies for Biomedicine, Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, 119991 Moscow, Russia.ORCID 0000-0003-3183-318X
Svetlana I GavrilovaMental Health Research Center, 115522 Moscow, Russia.
Evgeny N NikolaevCenter for Molecular and Cellular Biology, Skolkovo Institute of Science and Technology, 121205 Moscow, Russia.
Skolkovo Institute of Science and Technology · RUMental Health Research Center of Russian Academy of Medical Sciences · RUEngelhardt Institute of Molecular Biology · RUMoscow Institute of Physics and Technology · RUInstitute of Biochemical Physics NM Emanuel · RU

Funding

Megagrant of the Ministry of Science and Higher Education of the Russian Federation Agreement with Skolkovo Institute of Science and Technology on December 11, 2019 No. 075-10-2019-083
6 · The paper itself

Abstract

Early recognition of the risk of Alzheimer's disease (AD) onset is a global challenge that requires the development of reliable and affordable screening methods for wide-scale application. Proteomic studies of blood plasma are of particular relevance; however, the currently proposed differentiating markers are poorly consistent. The targeted quantitative multiple reaction monitoring (MRM) assay of the reported candidate biomarkers (CBs) can contribute to the creation of a consistent marker panel. An MRM-MS analysis of 149 nondepleted EDTA-plasma samples (MHRC, Russia) of patients with AD (

Indexed as

Alzheimer DiseaseCognitive DysfunctionAgedBiomarkersBlood ProteinsHumansMachine LearningMass SpectrometryProteomicsBiomarkersBlood ProteinsAlzheimer’s diseasemachine learningmass spectrometrymultiple reaction monitoringtargeted proteomics

Identifiers

PMID35887259
PMCPMC9318764
OpenAlexW4285727075

What OpenQuestion 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 OpenQuestion graph.