Evidence map›Paper›PMID 38269471›Full record

ArticleObesity (Silver Spring, Md.)2024

Branched-chain amino acids and type 2 diabetes: a bidirectional Mendelian randomization analysis.

Jonathan D Mosley, Mingjian Shi, David Agamasu, Nataraja Sarma Vaitinadin, Venkatesh L Murthy, Ravi V Shah, Minoo Bagheri, Jane F Ferguson

Open access · bronzeAbstract read
In one paragraph

Article in Obesity (Silver Spring, Md.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
4.2field-weighted citation impact, top 5% 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

16 citing papers in PubMed, 1 synthesis or guideline pooled it, 18 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Review
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. 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

8 authors at 3 institutions in 1 country.

Jonathan D MosleyDepartment of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee, USA.ORCID 0000-0001-6421-2887
Mingjian ShiDepartment of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
David AgamasuMeharry Medical College, Nashville, Tennessee, USA.
Nataraja Sarma VaitinadinDepartment of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
Venkatesh L MurthyDivision of Cardiovascular Medicine, Department of Medicine, University of Michigan, Ann Arbor, Michigan, USA.ORCID 0000-0002-7901-1321
Ravi V ShahDepartment of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
Minoo BagheriDepartment of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
Jane F FergusonDepartment of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA.ORCID 0000-0001-6896-1025
Vanderbilt University Medical Center · USMeharry Medical College · USMichigan Medicine · US

Funding

Virtual metabolomics as a discovery tool for novel cardiometabolic disease biologyR01HL142856 · NHLBI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI FERGUSON, JANE F, MOSLEY, JONATHAN DAVID · 2019 to 2023
$2.7M
Determinants of alpha-aminoadipic acid (2-AAA) and relationship to diabetesR01DK117144 · NIDDK · VANDERBILT UNIVERSITY MEDICAL CENTER · PI FERGUSON, JANE F · 2018 to 2022
$2.5M
Leveraging common genetic variation to reduce misclassification of non-diseased individuals and unnecessary health care utilization attributable to surrogate biomarkersR01GM130791 · NIGMS · VANDERBILT UNIVERSITY MEDICAL CENTER · PI MOSLEY, JONATHAN DAVID · 2019 to 2023
$2.3M
Leveraging multi-omics for endotyping to identify subtypes and mechanisms of cardiometabolic diseasesK01HL165020 · NHLBI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI Minoo Bagheri · 2023 to 2026
$642k
NHLBI NIH HHS K01 HL165020NHLBI NIH HHS R01 HL142856NIDDK NIH HHS R01 DK117144NIGMS NIH HHS R01 GM130791NIH HHS DK117144NIH HHS GM130791NIH HHS HL165020
6 · The paper itself

Abstract

objectiveGenetic studies have suggested that the branched-chain amino acids (BCAAs) valine, leucine, and isoleucine have a causal association with type 2 diabetes (T2D). However, inferences are based on a limited number of genetic loci associated with BCAAs.

methodsInstrumental variables (IVs) for each BCAA were constructed and validated using large well-powered data sets and their association with T2D was tested using a two-sample inverse-variance weighted Mendelian randomization approach. Sensitivity analyses were performed to ensure the accuracy of the findings. A reverse association was assessed using instrumental variables for T2D.

resultsEstimated effect sizes between BCAA IVs and T2D, excluding outliers, were as follows: valine (β = 0.14 change in log-odds per SD change in valine, 95% CI: -0.06 to 0.33, p = 0.17), leucine (β = 0.15, 95% CI: -0.02 to 0.32, p = 0.09), and isoleucine (β = 0.13, 95% CI: -0.08 to 0.34, p = 0.24). In contrast, T2D IVs were positively associated with each BCAA, i.e., valine (β = 0.08 per SD change in levels per log-odds change in T2D, 95% CI: 0.05 to 0.10, p = 1.8 × 10

conclusionsThese data suggest that the BCAAs are not mediators of T2D risk but are biomarkers of diabetes.

Indexed as

Amino Acids, Branched-ChainDiabetes Mellitus, Type 2HumansIsoleucineLeucineMendelian Randomization AnalysisValineAmino Acids, Branched-ChainIsoleucineLeucineValine

Identifiers

PMID38269471
PMCPMC10827349
OpenAlexW4391225501

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.