Evidence map›Paper›PMID 36522747›Full record

ArticleBMC medicine2022

Systematic analysis of relationships between plasma branched-chain amino acid concentrations and cardiometabolic parameters: an association and Mendelian randomization study.

Marwah Doestzada, Daria V Zhernakova, Inge C L van den Munckhof, Daoming Wang, Alexander Kurilshikov, Lianmin Chen, Vincent W Bloks, Martijn van Faassen, Joost H W Rutten, Leo A B Joosten and 6 more

Open access · goldAbstract read
In one paragraph

Article in BMC medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.9field-weighted citation impact, top 13% 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

15 citing papers in PubMed, 24 citations in OpenAlex.

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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

16 authors at 3 institutions in 4 countries.

Marwah Doestzada *Department of Genetics, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands.
Daria V Zhernakova *Department of Genetics, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands.
Inge C L van den MunckhofDepartment of Internal Medicine and Radboud Center for Infectious Diseases, Radboud University Medical Center, Nijmegen, the Netherlands.
Daoming WangDepartment of Genetics, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands.
Alexander KurilshikovDepartment of Genetics, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands.
Lianmin ChenDepartment of Genetics, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands.
Vincent W BloksDepartment of Pediatrics, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands.
Martijn van FaassenDepartment of Pediatrics, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands.
Joost H W RuttenDepartment of Internal Medicine and Radboud Center for Infectious Diseases, Radboud University Medical Center, Nijmegen, the Netherlands.
Leo A B JoostenDepartment of Internal Medicine and Radboud Center for Infectious Diseases, Radboud University Medical Center, Nijmegen, the Netherlands.
Mihai G NeteaDepartment of Internal Medicine and Radboud Center for Infectious Diseases, Radboud University Medical Center, Nijmegen, the Netherlands.
Cisca WijmengaDepartment of Genetics, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands.
Niels P RiksenDepartment of Internal Medicine and Radboud Center for Infectious Diseases, Radboud University Medical Center, Nijmegen, the Netherlands.
Alexandra ZhernakovaDepartment of Genetics, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands.
Folkert KuipersDepartment of Pediatrics, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands.
Jingyuan FuDepartment of Genetics, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands. j.fu@umcg.nl.ORCID 0000-0001-5578-1236
University Medical Center Groningen · NLRadboud University Nijmegen · NLUniversity of Bonn · DE

Funding

CardioVasculair Onderzoek Nederland CVON 2018-27ERC Consolidator grant 101001678European Research Council (ERC) Starting Grant 715772FP7 Ideas: European Research Council 2012-322698Nationaal Regieorgaan Onderwijsonderzoek 024.003.001Nederlandse Organisatie voor Toegepast Natuurwetenschappelijk Onderzoek NWO-VICI VI.C.202.022Nederlandse Organisatie voor Toegepast Natuurwetenschappelijk Onderzoek NWO-VIDI 864.13.013NWO SPI 92-266NWO Gravitation grant Exposome-NL 024.004.017the Netherlands Organization for Scientific Research (NWO) NWO-VENI 194.006the Netherlands Organization for Scientific Research (NWO) NWO-VIDI 016.178.056the Netherlands Organ-on-Chip Initiative 024.003.001the Top Institute Food and Nutrition TiFN GH001
6 · The paper itself

Abstract

backgroundBranched-chain amino acids (BCAAs; valine, leucine, and isoleucine) are essential amino acids that are associated with an increased risk of cardiometabolic diseases (CMD). However, there are still only limited insights into potential direct associations between BCAAs and a wide range of CMD parameters, especially those remaining after correcting for covariates and underlying causal relationships.

methodsTo shed light on these relationships, we systematically characterized the associations between plasma BCAA concentrations and a large panel of 537 CMD parameters (including atherosclerosis-related parameters, fat distribution, plasma cytokine concentrations and cell counts, circulating concentrations of cardiovascular-related proteins and plasma metabolites) in 1400 individuals from the Dutch population cohort LifeLines DEEP and 294 overweight individuals from the 300OB cohort. After correcting for age, sex, and BMI, we assessed associations between individual BCAAs and CMD parameters. We further assessed the underlying causality using Mendelian randomization.

resultsA total of 838 significant associations were detected for 409 CMD parameters. BCAAs showed both common and specific associations, with the most specific associations being detected for isoleucine. Further, we found that obesity status substantially affected the strength and direction of associations for valine, which cannot be corrected for using BMI as a covariate. Subsequent univariable Mendelian randomization (UVMR), after removing BMI-associated SNPs, identified seven significant causal relationships from four CMD traits to BCAA levels, mostly for diabetes-related parameters. However, no causal effects of BCAAs on CMD parameters were supported.

conclusionsOur cross-sectional association study reports a large number of associations between BCAAs and CMD parameters. Our results highlight some specific associations for isoleucine, as well as obesity-specific effects for valine. MR-based causality analysis suggests that altered BCAA levels can be a consequence of diabetes and alteration in lipid metabolism. We found no MR evidence to support a causal role for BCAAs in CMD. These findings provide evidence to (re)evaluate the clinical importance of individual BCAAs in CMD diagnosis, prevention, and treatment.

Indexed as

AtherosclerosisDiabetes MellitusAmino Acids, Branched-ChainCross-Sectional StudiesHumansIsoleucineMendelian Randomization AnalysisObesityValineAmino Acids, Branched-ChainIsoleucineValineBranched-chain amino acidsCardiometabolic diseasesMendelian randomizationPopulation-based studies

Identifiers

PMID36522747
PMCPMC9753387
OpenAlexW4311800286

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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.