Evidence map›Paper›PMID 37953886›Full record

ArticleFrontiers in aging neuroscience2023

Cognitive impairment in long-living adults: a genome-wide association study, polygenic risk score model and molecular modeling of the APOE protein.

D A Kashtanova, A A Mamchur, I H Dzhumaniyazova, M V Ivanov, V V Erema, E A Zelenova, A Y Yakovchik, M S Gusakova, A M Rumyantseva, M V Terekhov and 8 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in aging neuroscience, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.3field-weighted citation impact, top 16% 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

4 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. 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

18 authors at 4 institutions in 1 country.

D A KashtanovaFederal State Budgetary Institution "Centre for Strategic Planning and Management of Biomedical Health Risks", Federal Medical Biological Agency, Moscow, Russia.
A A MamchurFederal State Budgetary Institution "Centre for Strategic Planning and Management of Biomedical Health Risks", Federal Medical Biological Agency, Moscow, Russia.
I H DzhumaniyazovaFederal State Budgetary Institution "Centre for Strategic Planning and Management of Biomedical Health Risks", Federal Medical Biological Agency, Moscow, Russia.
M V IvanovFederal State Budgetary Institution "Centre for Strategic Planning and Management of Biomedical Health Risks", Federal Medical Biological Agency, Moscow, Russia.
V V EremaFederal State Budgetary Institution "Centre for Strategic Planning and Management of Biomedical Health Risks", Federal Medical Biological Agency, Moscow, Russia.
E A ZelenovaFederal State Budgetary Institution "Centre for Strategic Planning and Management of Biomedical Health Risks", Federal Medical Biological Agency, Moscow, Russia.
A Y YakovchikFederal State Budgetary Institution "Centre for Strategic Planning and Management of Biomedical Health Risks", Federal Medical Biological Agency, Moscow, Russia.
M S GusakovaFederal State Budgetary Institution "Centre for Strategic Planning and Management of Biomedical Health Risks", Federal Medical Biological Agency, Moscow, Russia.
A M RumyantsevaFederal State Budgetary Institution "Centre for Strategic Planning and Management of Biomedical Health Risks", Federal Medical Biological Agency, Moscow, Russia.
M V TerekhovFederal State Budgetary Institution "Centre for Strategic Planning and Management of Biomedical Health Risks", Federal Medical Biological Agency, Moscow, Russia.
L R MatkavaFederal State Budgetary Institution "Centre for Strategic Planning and Management of Biomedical Health Risks", Federal Medical Biological Agency, Moscow, Russia.
A A AkopyanRussian Clinical Research Center for Gerontology, Pirogov Russian National Research Medical University of the Ministry of Healthcare of the Russian Federation, Moscow, Russia.
I D StrazheskoRussian Clinical Research Center for Gerontology, Pirogov Russian National Research Medical University of the Ministry of Healthcare of the Russian Federation, Moscow, Russia.
V S YudinFederal State Budgetary Institution "Centre for Strategic Planning and Management of Biomedical Health Risks", Federal Medical Biological Agency, Moscow, Russia.
V V MakarovFederal State Budgetary Institution "Centre for Strategic Planning and Management of Biomedical Health Risks", Federal Medical Biological Agency, Moscow, Russia.
S A KraevoyFederal State Budgetary Institution "Centre for Strategic Planning and Management of Biomedical Health Risks", Federal Medical Biological Agency, Moscow, Russia.
O N TkachevaRussian Clinical Research Center for Gerontology, Pirogov Russian National Research Medical University of the Ministry of Healthcare of the Russian Federation, Moscow, Russia.
S M YudinFederal State Budgetary Institution "Centre for Strategic Planning and Management of Biomedical Health Risks", Federal Medical Biological Agency, Moscow, Russia.
Federal Medical-Biological Agency · RUFederal Agency for Health and Social Development · RUMinistry of Health of the Russian Federation · RUPirogov Russian National Research Medical University · RU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Cognitive impairment is an irreversible, aging-associated condition that robs people of their independence. The purpose of this study was to investigate possible causes of this condition and propose preventive options. Methods: We assessed cognitive status in long-living adults aged 90+ ( Results: Both variations yielded the same polymorphisms, including a well-known marker of dementia, rs429358in the APOE gene. Molecular dynamics simulations showed that this polymorphism leads to changes in the structure of alpha helices and the mobility of the lipid-binding domain in the APOE protein. Conclusion: These changes, along with higher LDL and total cholesterol levels, could be the mechanism underlying the development of cognitive impairment in older adults. However, this polymorphism is not the only determining factor in cognitive impairment. The polygenic risk score model included 45 polymorphisms (ROC AUC 69%), further confirming the multifactorial nature of this condition. Our findings, particularly the results of PRS modeling, could contribute to the development of early detection strategies for predisposition to cognitive impairment in older adults.

Indexed as

APOEcognitive impairmentdementiaGWASlong-living individualsMMSEmolecular dynamicspolygenic risk score

Identifiers

PMID37953886
PMCPMC10637623
OpenAlexW4388203749

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.