Evidence mapPaperPMID 38274231Full record

ArticleFrontiers in endocrinology2023

Association between human blood metabolome and the risk of delirium: a Mendelian Randomization study.

Chubing Long, Dong Lin, Lieliang Zhang, Yue Lin, Qing Yao, Guangyong Zhang, Longshan Li, Hailin Liu, Jun Ying, Xifeng Wang and 1 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in endocrinology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
4.2field-weighted citation impact, top 6% 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 10 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Article
  6. 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

11 authors at 2 institutions in 1 country.

Chubing LongDepartment of Anesthesiology, The Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China.
Dong LinDepartment of Anesthesiology, The Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China.
Lieliang ZhangDepartment of Anesthesiology, The Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China.
Yue LinDepartment of Anesthesiology, The Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China.
Qing YaoDepartment of Anesthesiology, The Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China.
Guangyong ZhangDepartment of Anesthesiology, The Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China.
Longshan LiDepartment of Anesthesiology, The Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China.
Hailin LiuDepartment of Anesthesiology, The Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China.
Jun YingDepartment of Anesthesiology, The Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China.
Xifeng WangKey Laboratory of Anesthesiology of Jiangxi Province, Department of Anesthesiology, The Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China.
Fuzhou HuaDepartment of Anesthesiology, The Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China.
Second Affiliated Hospital of Nanchang University · CNNanchang University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Delirium significantly contributes to both mortality and morbidity among hospitalized older adults. Furthermore, delirium leads to escalated healthcare expenditures, extended hospital stays, and enduring cognitive deterioration, all of which are acknowledged detrimental outcomes. Nonetheless, the current strategies for predicting and managing delirium remain constrained. Our aim was to employ Mendelian randomization (MR) to investigate the potential causal relationship between metabolites and delirium, as well as to identify potential therapeutic targets. Methods: We identified 129 distinct blood metabolites from three genome-wide association studies (GWASs) conducted on the metabolome, involving a total of 147,827 participants of European descent. Genetic information pertaining to delirium was sourced from the ninth iteration of the Finngen Biobank, encompassing 359,699 individuals of Finnish ancestry. We conducted MR analyses to evaluate the connections between blood metabolites and delirium. Additionally, we extended our analysis to encompass the entire phenome using MR, aiming to uncover potential on-target consequences resulting from metabolite interventions. Results: In our investigation, we discovered three metabolites serving as causal mediators in the context of delirium: clinical low density lipoprotein cholesterol (LDL-C) (odds ratio [OR]: 1.47, 95% confidence interval [CI]: 1.25-1.73, Limitations: (1) Limited representation of the complete blood metabolome, (2) reliance on the PheCode system based on hospital diagnoses may underrepresent conditions with infrequent hospital admissions, and (3) limited to European ancestry. Conclusion: The genetic prediction of heightened O-methylascorbate levels seems to correspond to a diminished risk of delirium, in contrast to the association of elevated clinical LDL-C and sphingomyelin levels with an amplified risk. A comprehensive analysis of side-effect profiles has been undertaken to facilitate the prioritization of drug targets. Notably, O-methylascorbate emerges as a potentially auspicious target for mitigating and treating delirium, offering the advantage of lacking predicted adverse side effects.

Indexed as

DeliriumMendelian Randomization AnalysisAgedCholesterol, LDLGenome-Wide Association StudyHumansRisk FactorsSphingomyelinsCholesterol, LDLSphingomyelinsdeliriumgenome-wide association studyMendelian Randomizationmetabolitesphenotype-wide study

Identifiers

PMID38274231
PMCPMC10808797
OpenAlexW4390745273

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.