Evidence map›Paper›PMID 38212844›Full record

ArticleAlzheimer's research & therapy2024

Associations between genetically predicted plasma protein levels and Alzheimer's disease risk: a study using genetic prediction models.

Jingjing Zhu, Shuai Liu, Keenan A Walker, Hua Zhong, Dalia H Ghoneim, Zichen Zhang, Praveen Surendran, Sarah Fahle, Adam Butterworth, Md Ashad Alam and 3 more

Open access · goldAbstract read
In one paragraph

Article in Alzheimer's research & therapy, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
3.3field-weighted citation impact, top 8% 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

12 citing papers in PubMed, 14 citations in OpenAlex.

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  7. Advancements in Immunity and Dementia Research: Highlights from the 2023 AAIC Advancements: Immunity Conference.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
    Review
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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 9 institutions in 2 countries.

Jingjing Zhu *Cancer Epidemiology Division, Population Sciences in the Pacific Program, University of Hawaii Cancer Center, University of Hawaii at Manoa, Honolulu, HI, 96813, USA.
Shuai Liu *Cancer Epidemiology Division, Population Sciences in the Pacific Program, University of Hawaii Cancer Center, University of Hawaii at Manoa, Honolulu, HI, 96813, USA.
Keenan A WalkerLaboratory of Behavioral Neuroscience, National Institute On Aging, Intramural Research Program, Baltimore, MD, USA.
Hua ZhongCancer Epidemiology Division, Population Sciences in the Pacific Program, University of Hawaii Cancer Center, University of Hawaii at Manoa, Honolulu, HI, 96813, USA.
Dalia H GhoneimCancer Epidemiology Division, Population Sciences in the Pacific Program, University of Hawaii Cancer Center, University of Hawaii at Manoa, Honolulu, HI, 96813, USA.
Zichen ZhangDepartment of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Praveen SurendranMRC/BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK.
Sarah FahleMRC/BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK.
Adam ButterworthMRC/BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK.
Md Ashad AlamTulane Center for Biomedical Informatics and Genomics., Division of Biomedical Informatics and Genomics, Deming Department of Medicine, Tulane University, 1440 Canal Street, New Orleans, LA, 70112, USA.
Hong-Wen DengTulane Center for Biomedical Informatics and Genomics., Division of Biomedical Informatics and Genomics, Deming Department of Medicine, Tulane University, 1440 Canal Street, New Orleans, LA, 70112, USA.
Chong WuDepartment of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA. cwu18@mdanderson.org.
Lang WuCancer Epidemiology Division, Population Sciences in the Pacific Program, University of Hawaii Cancer Center, University of Hawaii at Manoa, Honolulu, HI, 96813, USA. lwu@cc.hawaii.edu.
The University of Texas MD Anderson Cancer Center · USUniversity of Cambridge · GBUniversity of Hawaiʻi at Mānoa · USUniversity of Hawaii Cancer CenterGenomics (United Kingdom) · GBNational Institute on Aging · USOchsner Medical Center · USTulane University · USUniversity of Hawaii System · US

Funding

Tulane COBRE in Cardiometabolic Diseases Clinical Research CoreP20GM109036 · NIGMS · TULANE UNIVERSITY OF LOUISIANA · PI Katherine Teresa Mills · 2016 to 2026
$25.3M
Trans-omics Integration of Multi-omics Studies for OsteoporosisU19AG055373 · NIA · TULANE UNIVERSITY OF LOUISIANA · PI Chuan Qiu · 2017 to 2026
$24.3M
Pacific Center for Genome ResearchU54HG013243 · NHGRI · UNIVERSITY OF HAWAII AT MANOA · PI Alexandra Margaret Lynn Binder, Youping Deng · 2023 to 2026
$10.8M
Intensive Lifestyle Intervention, Metabolomics, and Risk of Frailty Fracture in Overweight or Obese Patients with Type 2 DiabetesR01AG068232 · NIA · UNIVERSITY OF TENNESSEE HEALTH SCI CTR · PI JOHNSON, KAREN C, ZHAO, QI · 2021 to 2025
$3.1M
Identification of Metabolomic Profiles for Sarcopenia Traits in Older Whites and BlacksR01AG061917 · NIA · UNIVERSITY OF TENNESSEE HEALTH SCI CTR · PI SHEN, HUI, ZHAO, QI · 2019 to 2023
$3.0M
Medical Research Council MR/L003120/1NHGRI NIH HHS U54 HG013243NIA NIH HHS R01 AG061917NIA NIH HHS R01 AG068232NIA NIH HHS U19 AG055373NIGMS NIH HHS P20 GM109036
6 · The paper itself

Abstract

backgroundSpecific peripheral proteins have been implicated to play an important role in the development of Alzheimer's disease (AD). However, the roles of additional novel protein biomarkers in AD etiology remains elusive. The availability of large-scale AD GWAS and plasma proteomic data provide the resources needed for the identification of causally relevant circulating proteins that may serve as risk factors for AD and potential therapeutic targets.

methodsWe established and validated genetic prediction models for protein levels in plasma as instruments to investigate the associations between genetically predicted protein levels and AD risk. We studied 71,880 (proxy) cases and 383,378 (proxy) controls of European descent.

resultsWe identified 69 proteins with genetically predicted concentrations showing associations with AD risk. The drugs almitrine and ciclopirox targeting ATP1A1 were suggested to have a potential for being repositioned for AD treatment.

conclusionsOur study provides additional insights into the underlying mechanisms of AD and potential therapeutic strategies.

Indexed as

Alzheimer DiseaseBiomarkersBlood ProteinsGenome-Wide Association StudyHumansProteomicsRisk FactorsBiomarkersBlood ProteinsAlzheimer’s diseaseGenetic instrumentProtein biomarkerRisk

Identifiers

PMID38212844
PMCPMC10782590
OpenAlexW4390793877

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.