Evidence map›Paper›PMID 38216726›Full record

ArticleMolecular psychiatry2024

Identification of blood metabolites associated with risk of Alzheimer's disease by integrating genomics and metabolomics data.

Shuai Liu, Hua Zhong, Jingjing Zhu, Lang Wu

Open access · greenAbstract read
In one paragraph

Article in Molecular psychiatry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed, 14 citations in OpenAlex.

  1. Review
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  11. Cell type-specific master metabolic regulators of Alzheimer's disease.bioRxiv : the preprint server for biology · 2025
    Article
  12. Article
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  17. Tackling neurodegenerationFrontiers in molecular neuroscience · 2024
    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

4 authors at 1 institution in 1 country.

Shuai LiuCancer Epidemiology Division, Population Sciences in the Pacific Program, University of Hawaii Cancer Center, University of Hawaii at Manoa, Honolulu, HI, USA.ORCID 0000-0003-2244-2216
Hua ZhongCancer Epidemiology Division, Population Sciences in the Pacific Program, University of Hawaii Cancer Center, University of Hawaii at Manoa, Honolulu, HI, USA.
Jingjing ZhuCancer Epidemiology Division, Population Sciences in the Pacific Program, University of Hawaii Cancer Center, University of Hawaii at Manoa, Honolulu, HI, USA.
Lang WuCancer Epidemiology Division, Population Sciences in the Pacific Program, University of Hawaii Cancer Center, University of Hawaii at Manoa, Honolulu, HI, USA. lwu@cc.hawaii.edu.ORCID 0000-0001-9938-3627
University of Hawaiʻi at Mānoa · US

Funding

Pacific Center for Genome ResearchU54HG013243 · NHGRI · UNIVERSITY OF HAWAII AT MANOA · PI Youping Deng · 2023 to 2026
$10.8M
Multidisciplinary Training in Ethnic Diversity and Cancer DisparitiesT32CA229110 · NCI · UNIVERSITY OF HAWAII AT MANOA · PI HAIMAN, CHRISTOPHER ALAN, LE MARCHAND, LOIC · 2019 to 2023
$2.1M
Uncovering roles of polyunsaturated fatty acids in pancreatic cancer etiologyR00CA218892 · NCI · UNIVERSITY OF HAWAII AT MANOA · PI WU, LANG · 2019 to 2021
$747k
Medical Research CouncilNCI NIH HHS R00 CA218892NCI NIH HHS T32 CA229110NHGRI NIH HHS U54 HG013243U.S. Department of Health & Human Services | NIH | NCI | Division of Cancer Epidemiology and Genetics, National Cancer Institute (National Cancer Institute Division of Cancer Epidemiology and Genetics) R00CA218892Wellcome Trust
6 · The paper itself

Abstract

Specific metabolites have been reported to be potentially associated with Alzheimer's disease (AD) risk. However, the comprehensive understanding of roles of metabolite biomarkers in AD etiology remains elusive. We performed a large AD metabolome-wide association study (MWAS) by developing blood metabolite genetic prediction models. We evaluated associations between genetically predicted levels of metabolites and AD risk in 39,106 clinically diagnosed AD cases, 46,828 proxy AD and related dementia (proxy-ADD) cases, and 401,577 controls. We further conducted analyses to determine microbiome features associated with the detected metabolites and characterize associations between predicted microbiome feature levels and AD risk. We identified fourteen metabolites showing an association with AD risk. Five microbiome features were further identified to be potentially related to associations of five of the metabolites. Our study provides new insights into the etiology of AD that involves blood metabolites and gut microbiome, which warrants further investigation.

Indexed as

Alzheimer DiseaseBiomarkersGenomicsMetabolomicsAgedCase-Control StudiesFemaleGastrointestinal MicrobiomeGenome-Wide Association StudyHumansMaleMetabolomeMiddle AgedRisk FactorsBiomarkers

Identifiers

PMID38216726
PMCPMC11176029
OpenAlexW4390831624

What OpenQuestion holds

Textmetadata
LicenceTDM
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.