Evidence map›Paper›PMID 42454489›Full record

Observational studyThe Journal of clinical investigation2026

Branched chain amino acid metabolism and microbiome in adolescents with obesity during weight loss therapy.

Jessica R McCann, Chengxin Yang, Nathan A Bihlmeyer, Runshi Tang, Tracy Truong, Wei Zhou, Jie An, Jayanth Jawahar, Olga Ilkayeva, Michael J Muehlbauer and 14 more

2 registry-linked trialsAbstract readObservational Study
In one paragraph

Observational study in The Journal of clinical investigation, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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.

NCT02959034 completednot on this map

Pediatric Metabolism and Microbiome Repository

TypeobservationalSponsorDuke UniversityRan2016 to 2021Enrolled486ConditionsPediatric Obesity
NCT03139877 completednot on this map

Pediatric Obesity Observational Prospective Trial: Microbiome and Metabolism During Obesity Target Therapeutics

TypeobservationalSponsorDuke UniversityRan2016 to 2020Enrolled295ConditionsPediatric Obesity
3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

24 authors.

Jessica R McCannDepartment of Molecular Genetics and Microbiology.
Chengxin YangDepartment of Biostatistics and Bioinformatics, and.
Nathan A BihlmeyerDuke Molecular Physiology Institute, Duke University School of Medicine, Durham, North Carolina, USA.
Runshi TangDepartment of Statistics, University of Wisconsin-Madison, Madison, Wisconsin, USA.
Tracy TruongDepartment of Biostatistics and Bioinformatics, and.
Wei ZhouDepartment of Dermatology, Duke University School of Medicine, Durham, North Carolina, USA.
Jie AnDuke Molecular Physiology Institute, Duke University School of Medicine, Durham, North Carolina, USA.
Jayanth JawaharDepartment of Molecular Genetics and Microbiology.
Olga IlkayevaDuke Molecular Physiology Institute, Duke University School of Medicine, Durham, North Carolina, USA.
Michael J MuehlbauerDuke Molecular Physiology Institute, Duke University School of Medicine, Durham, North Carolina, USA.
Zhengzheng HuDepartment of Molecular Genetics and Microbiology.
Holly Kloos DressmanDepartment of Molecular Genetics and Microbiology.
Lisa PoppeDuke Molecular Physiology Institute, Duke University School of Medicine, Durham, North Carolina, USA.
Joshua A GranekDepartment of Biostatistics and Bioinformatics, and.
Jason W ArnoldDepartment of Molecular Genetics and Microbiology.
Lawrence A DavidDepartment of Molecular Genetics and Microbiology.
Julia OhDepartment of Dermatology, Duke University School of Medicine, Durham, North Carolina, USA.
Pixu ShiDepartment of Biostatistics and Bioinformatics, and.
Pinar Gumus BalikciogluDuke Molecular Physiology Institute, Duke University School of Medicine, Durham, North Carolina, USA.
Svati H ShahDepartment of Biostatistics and Bioinformatics, and.
Sarah C ArmstrongDuke Clinical Research Institute, Duke University, Durham, North Carolina, USA.
Christopher B NewgardDuke Molecular Physiology Institute, Duke University School of Medicine, Durham, North Carolina, USA.
Patrick C SeedStanley Manne Children's Research Institute, Ann and Robert H. Lurie Children's Hospital, Chicago, Illinois, USA.
John F RawlsDepartment of Molecular Genetics and Microbiology.

Funding

A comprehensive research resource to define mechanisms underlying microbial regulation of host metabolism in pediatric obesity and obesity-targeted therapeuticsR24DK110492 · NIDDK · DUKE UNIVERSITY · PI RAWLS, JOHN F, SEED, PATRICK C. · 2016 to 2020
$7.2M
NIDDK NIH HHS R24 DK110492
6 · The paper itself

Abstract

BACKGROUNDObesity and weight loss in adults have been associated with distinct metabolome and gut microbiome features, but the extent to which those associations apply to adolescent stages remain unclear.METHODSThe Pediatric Obesity Microbiome and Metabolism Study (POMMS) enrolled 220 adolescents aged 10-18 with severe obesity (OB) and 67 individuals who were healthy weight controls (HWCs). Blood, stool, and clinical measures were collected at baseline and after a 6-month obesity intervention for the OB group. Metabolomic profiling in serum using targeted quantitative mass spectrometry and microbiome profiling in stool were performed, and those features were assessed for associations with BMI, insulin resistance, and inflammation. Fecal microbiome transplants (FMT) were performed on germ-free mice using samples from both groups to assess effects on weight gain and metabolic pathways.RESULTSAdolescents with OB exhibited higher serum branched-chain amino acid (BCAA) but lower branched-chain ketoacid (BCKA) levels compared with HWC. This pattern was sex- and age-dependent and differed from adults with obesity who show elevated levels of both BCAA and BCKA. Longitudinal analysis identified metabolic and microbial features correlated with changes in health measures during the intervention. The fecal microbiomes of adolescents with OB and HWC had similar diversity but differed in membership and functional potential. FMT from both OB and HWC donors had similar effects on mouse body weight, but specific taxa were linked to weight gain in recipients of FMT.CONCLUSIONAdolescents with OB have unique metabolomic adaptations and microbiome signatures compared with their HWC counterparts and adults with OB.TRIAL REGISTRATIONClinicalTrials.gov Identifier: NCT03139877 (Observational Study) and NCT02959034 (Repository).FUNDING SUPPORTAmerican Heart Association Grants: 17SFRN33670990, 20PRE35180195; National Institute of Diabetes and Digestive and Kidney Diseases Grant: R24-DK110492.

Indexed as

Amino Acids, Branched-ChainGastrointestinal MicrobiomePediatric ObesityWeight LossAdolescentAnimalsChildFecal Microbiota TransplantationFemaleHumansMaleMiceAmino Acids, Branched-ChainAmino acid metabolismClinical ResearchMetabolismMicrobiologyMicrobiomeObesity

Identifiers

PMID42454489
PMCPMC13367979

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Registered trials

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.