Evidence map›Paper›PMID 23375209›Full record

Trial reportMetabolism: clinical and experimental2013

Branched chain amino acids are novel biomarkers for discrimination of metabolic wellness.

Bryan C Batch, Svati H Shah, Christopher B Newgard, Christy B Turer, Carol Haynes, James R Bain, Michael Muehlbauer, Mahesh J Patel, Robert D Stevens, Lawrence J Appel and 2 more

Open access · greenAbstract readMulticenter StudyRandomized Controlled Trial
In one paragraph

Trial report in Metabolism: clinical and experimental, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 141 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
141citing papers in PubMed, 2 pooled it
8.2field-weighted citation impact, top 2% 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

141 citing papers in PubMed, 2 syntheses or guidelines pooled it, 229 citations in OpenAlex.

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81 more citing papers are in PubMed but not listed here.

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

12 authors at 3 institutions in 1 country.

Bryan C BatchDivision of Endocrinology, Metabolism, and Nutrition, Duke University Medical Center, Durham, NC 27710, USA. bryan.batch@duke.edu
Svati H Shah
Christopher B Newgard
Christy B Turer
Carol Haynes
James R Bain
Michael Muehlbauer
Mahesh J Patel
Robert D Stevens
Lawrence J Appel
L Kristin Newby
Laura P Svetkey
Duke University · USDuke University Hospital · USThe University of Texas Southwestern Medical Center · US

Funding

Pilot Project for the DTMI CRA ProgramUL1RR024128 · NCRR · DUKE UNIVERSITY · PI CALIFF, ROBERT M · 2006 to 2010
$48.1M
Resource Core 3 - Metabolomics CoreP30AG028716 · NIA · DUKE UNIVERSITY · PI Virginia B Kraus · 2006 to 2026
$24.6M
WEIGHT LOSS MAINTENANCE TRIALU01HL068676 · NHLBI · KAISER FOUNDATION RESEARCH INSTITUTE · PI STEVENS, VICTOR J · 2003 to 2009
$7.4M
WEIGHT LOSS MAINTENANCE TRIALU01HL068734 · NHLBI · DUKE UNIVERSITY · PI SVETKEY, LAURA P · 2003 to 2007
$3.1M
WEIGHT LOSS MAINTENANCE TRIALU01HL068790 · NHLBI · KAISER FOUNDATION RESEARCH INSTITUTE · PI HOLLIS, JACK F · 2003 to 2007
$2.4M
WEIGHT LOSS MAINTENANCE TRIALU01HL068920 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI APPEL, LAWRENCE JOHN · 2003 to 2007
$2.4M
WEIGHT LOSS MAINTENANCE TRIALU01HL068955 · NHLBI · LSU PENNINGTON BIOMEDICAL RESEARCH CTR · PI BRANTLEY, PHILLIP J · 2003 to 2007
$2.3M
NCRR NIH HHS 1UL1 RR024128-01NCRR NIH HHS UL1 RR024128NHLBI NIH HHS HL68676NHLBI NIH HHS HL68734NHLBI NIH HHS HL68790NHLBI NIH HHS HL68920NHLBI NIH HHS HL68955NHLBI NIH HHS U01 HL068676NHLBI NIH HHS U01 HL068734NHLBI NIH HHS U01 HL068790NHLBI NIH HHS U01 HL068920NHLBI NIH HHS U01 HL068955NIA NIH HHS P30 AG028716
6 · The paper itself

Abstract

objectiveTo identify novel biomarkers through metabolomic profiles that distinguish metabolically well (MW) from metabolically unwell (MUW) individuals, independent of body mass index (BMI). MATERIALS/

methodsThis study was conducted as part of the Measurement to Understand the Reclassification of Disease of Cabarrus/Kannapolis (MURDOCK) project. Individuals from 3 cohorts were classified as lean (BMI<25kg/m²), overweight (BMI≥25kg/m², BMI<30kg/m²) or obese (BMI≥30kg/m²). Cardiometabolic abnormalities were defined as: (1) impaired fasting glucose (≥100mg/dL and ≤126mg/dL); (2) hypertension; (3) triglycerides ≥150mg/dL; (4) HDL-C <40mg/dL in men, <50mg/dL in women; and (5) insulin resistance (calculated Homeostatic Model Assessment (HOMA-IR) index of >5.13). MW individuals were defined as having <2 cardiometabolic abnormalities and MUW individuals had≥two cardiometabolic abnormalities. Targeted profiling of 55 metabolites used mass-spectroscopy-based methods. Principal components analysis (PCA) was used to reduce the large number of correlated metabolites into clusters of fewer uncorrelated factors.

resultsOf 1872 individuals, 410 were lean, 610 were overweight, and 852 were obese. Of lean individuals, 67% were categorized as MUW, whereas 80% of overweight and 87% of obese individuals were MUW. PCA-derived factors with levels that differed the most between MW and MUW groups were factors 4 (branched chain amino acids [BCAA]) [p<.0001], 8 (various metabolites) [p<.0001], 9 (C4/Ci4, C3, C5 acylcarnitines) [p<.0001] and 10 (amino acids) [p<.0002]. Further, Factor 4, distinguishes MW from MUW individuals independent of BMI.

conclusionBCAA and related metabolites are promising biomarkers that may aid in understanding cardiometabolic health independent of BMI category.

Indexed as

AgedAmino Acids, Branched-ChainBiomarkersBlood BanksBody Mass IndexCohort StudiesEarly DiagnosisFemaleHumansInsulin ResistanceMaleMetabolic DiseasesMetabolic SyndromeMetabolomicsMiddle AgedObesityAmino Acids, Branched-ChainBiomarkers

Identifiers

PMID23375209
PMCPMC3691289
OpenAlexW2100094462

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.