Evidence map›Paper›PMID 38432131›Full record

ArticleFood chemistry2024

Multidisciplinary approach combining food metabolomics and epidemiology identifies meglutol as an important bioactive metabolite in tempe, an Indonesian fermented food.

Marvin N Iman, Danielle E Haslam, Liming Liang, Kai Guo, Kaumudi Joshipura, Cynthia M Pérez, Clary Clish, Katherine L Tucker, JoAnn E Manson, Shilpa N Bhupathiraju and 3 more

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Food chemistry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
2.1field-weighted citation impact, top 14% 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

3 citing papers in PubMed, 9 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

13 authors at 7 institutions in 3 countries.

Marvin N ImanDepartment of Biotechnology, Graduate School of Engineering, Osaka University, Japan.
Danielle E HaslamChanning Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA; Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Liming LiangDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA; Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Kai GuoCenter for Clinical Research and Health Promotion, Graduate School of Public Health, University of Puerto Rico Medical Sciences Campus, Puerto Rico, USA.
Kaumudi JoshipuraDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA; Center for Clinical Research and Health Promotion, Graduate School of Public Health, University of Puerto Rico Medical Sciences Campus, Puerto Rico, USA.
Cynthia M PérezDepartment of Biostatistics and Epidemiology, Graduate School of Public Health, University of Puerto Rico Medical Sciences Campus, Puerto Rico, USA.
Clary ClishBroad Institute of Massachusetts Institute of Technology and Harvard, USA.
Katherine L TuckerDepartment of Biomedical and Nutritional Sciences, University of Massachusetts Lowell, USA.
JoAnn E MansonDivision of Preventive Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
Shilpa N BhupathirajuChanning Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA; Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Eiichiro FukusakiDepartment of Biotechnology, Graduate School of Engineering, Osaka University, Japan; Industrial Biotechnology Initiative Division, Institute for Open and Transdisciplinary Research Initiatives, Osaka University, Japan; Osaka University-Shimadzu Omics Innovation Research Laboratories, Osaka University, Japan.
Jessica Lasky-SuChanning Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
Sastia P PutriDepartment of Biotechnology, Graduate School of Engineering, Osaka University, Japan; Osaka University-Shimadzu Omics Innovation Research Laboratories, Osaka University, Japan. Electronic address: sastia_putri@bio.eng.osaka-u.ac.jp.
Harvard University · USBrigham and Women's Hospital · USShimadzu (Japan) · JPUniversity of Puerto Rico, Medical Sciences Campus · PRMassachusetts Institute of Technology · USOsaka University · JPUniversity of Massachusetts Lowell · US

Funding

Training Program in Cancer EpidemiologyT32CA009001 · NCI · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI A. Heather Eliassen, Meir Stampfer · 1985 to 2026
$17.3M
Integrative Metabolomics of Asthma SeverityR01HL123915 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI LASKY-SU, JESSICA A · 2014 to 2023
$7.0M
Omic Determinants of Longitudinal Lung Function in AsthmaR01HL155742 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI LASKY-SU, JESSICA A, MCGEACHIE, MICHAEL JOHN · 2021 to 2025
$3.9M
Metabolomics from a Controlled Feeding Study and Large Cohorts to Identify Diet-Associated Biomarkers, Augmented by Genetics to Infer Causality for Cardiometabolic OutcomesR01DK125273 · NIDDK · BOSTON CHILDREN'S HOSPITAL · PI EBBELING, CARA B, HIRSCHHORN, JOEL N · 2020 to 2023
$2.6M
Saliva and Plasma Metabolomic Signatures of Diabetes Progression in a Hispanic CohortR01DK120560 · NIDDK · HARVARD SCHOOL OF PUBLIC HEALTH · PI BHUPATHIRAJU, SHILPA NANDANA · 2019 to 2023
$2.3M
Proteomic and integrative omic profiles of sugar- and artificially sweetened beverage consumption and changes in type 2 diabetes risk factorsK01DK136968 · NIDDK · BRIGHAM AND WOMEN'S HOSPITAL · PI Danielle Haslam · 2023 to 2026
$634k
Metabolomics and Type 2 Diabetes in a Cohort of Older Puerto RicansK01DK107804 · NIDDK · HARVARD SCHOOL OF PUBLIC HEALTH · PI BHUPATHIRAJU, SHILPA NANDANA · 2016 to 2019
$594k
NCI NIH HHS T32 CA009001NHLBI NIH HHS R01 HL123915NHLBI NIH HHS R01 HL155742NIDDK NIH HHS K01 DK107804NIDDK NIH HHS K01 DK136968NIDDK NIH HHS R01 DK120560NIDDK NIH HHS R01 DK125273
6 · The paper itself

Abstract

This study introduces a multidisciplinary approach to investigate bioactive food metabolites often overlooked due to their low concentrations. We integrated an in-house food metabolite library (n = 494), a human metabolite library (n = 891) from epidemiological studies, and metabolite pharmacological databases to screen for food metabolites with potential bioactivity. We identified six potential metabolites, including meglutol (3-hydroxy-3-methylglutarate), an understudied low-density lipoprotein (LDL)-lowering compound. We further focused on meglutol as a case study to showcase the range of characterizations achievable with this approach. Green pea tempe was identified to contain the highest meglutol concentration (21.8 ± 4.6 mg/100 g). Furthermore, we identified a significant cross-sectional association between plasma meglutol (per 1-standard deviation) and lower LDL cholesterol in two Hispanic adult cohorts (n = 1,628) (β [standard error]: -5.5 (1.6) mg/dl, P = 0.0005). These findings highlight how multidisciplinary metabolomics can serve as a systematic tool for discovering and enhancing bioactive metabolites in food, such as meglutol, with potential applications in personalized dietary approaches for disease prevention.

Indexed as

MeglutolSoy FoodsCross-Sectional StudiesHumansIndonesiaMetabolomicsMeglutolBioactive compoundsFood metabolomicsFunctional foodMeglutolMolecular epidemiology

Identifiers

PMID38432131
PMCPMC11247955
OpenAlexW4391888256

What OpenQuestion holds

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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.