Evidence map›Paper›PMID 37207441›Full record

ArticleJournal of neuroimmunology2023

A metabolome-wide Mendelian randomization study prioritizes potential causal circulating metabolites for multiple sclerosis.

Angela Ge, Yitang Sun, Thaddaeus Kiker, Yanjiao Zhou, Kaixiong Ye

Open access · hybridAbstract read
In one paragraph

Article in Journal of neuroimmunology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
2.3field-weighted citation impact, top 12% 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. 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

5 authors at 4 institutions in 1 country.

Angela GeLower Merion High School, Ardmore, PA, USA; Department of Genetics, Franklin College of Arts and Sciences, University of Georgia, Athens, GA, USA.
Yitang SunDepartment of Genetics, Franklin College of Arts and Sciences, University of Georgia, Athens, GA, USA.
Thaddaeus KikerDepartment of Genetics, Franklin College of Arts and Sciences, University of Georgia, Athens, GA, USA; Sunny Hills High School, Fullerton, CA, USA.
Yanjiao ZhouDepartment of Medicine, University of Connecticut Health Center, Farmington, CT, USA.
Kaixiong YeDepartment of Genetics, Franklin College of Arts and Sciences, University of Georgia, Athens, GA, USA; Institute of Bioinformatics, University of Georgia, Athens, GA, USA. Electronic address: Kaixiong.Ye@uga.edu.
Franklin College · USGreen Valley High School · USUConn Health · USUniversity of Georgia · US

Funding

Gene-Environment Interactions in Human Evolution and Complex TraitsR35GM143060 · NIGMS · UNIVERSITY OF GEORGIA · PI YE, KAIXIONG · 2021 to 2025
$1.9M
NIGMS NIH HHS R35 GM143060
6 · The paper itself

Abstract

To prioritize circulating metabolites that likely play causal roles in the pathogenesis of multiple sclerosis (MS). Two-sample Mendelian randomization analysis was performed to estimate the causal effects of 571 circulating metabolites on the risk of MS. Genetic instruments for circulating metabolites were obtained from three previous genome-wide association studies (GWAS) of the blood metabolome (N = 7824; 24,925; and 115,078; respectively), while genetic associations with MS were from a large GWAS by the International Multiple Sclerosis Genetics Consortium (14,802 cases and 26,703 control). The primary analysis was performed with the multiplicative random-effect inverse variance-weighted method, while multiple sensitivity analyses were conducted with the weighted median, weighted mode, MR-Egger, and MR-PRESSO. A total of 29 metabolites had suggestive evidence of causal associations with MS. Genetically instrumented levels of serine (OR = 1.56, 95% CI = 1.25-1.95), lysine (OR = 1.18, 95% CI = 1.01-1.38), acetone (OR = 2.45, 95% CI = 1.02-5.90), and acetoacetate (OR = 2.47, 95% CI = 1.14-5.34) were associated with a higher MS risk. Total cholesterol and phospholipids in large very-low-density lipoprotein were associated with a lower MS risk (OR = 0.83, 95% CI = 0.69-1.00; OR = 0.80, 95% CI = 0.68-0.95), but risk-increasing associations (OR = 1.20, 95% CI = 1.04-1.40; OR = 1.13, 95% CI = 1.00-1.28) were observed for the same two lipids in very large high-density lipoprotein. Our metabolome-wide Mendelian randomization study prioritized a list of circulating metabolites, such as serine, lysine, acetone, acetoacetate, and lipids, that likely have causal associations with MS.

Indexed as

AcetoacetatesMultiple SclerosisAcetoneGenome-Wide Association StudyHumansLysineMendelian Randomization AnalysisMetabolomePolymorphism, Single NucleotideSerineAcetoacetatesacetoacetic acidAcetoneLysineSerineMendelian randomizationMetabolitesMetabolomeMultiple sclerosis

Identifiers

PMID37207441
PMCPMC10237183
OpenAlexW4377142721

What Socratic 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 Socratic graph.