Evidence map›Paper›PMID 36333377›Full record

ArticleScientific reports2022

Metabolomics profiling in acute liver transplant rejection in a pediatric population.

Jennifer K Frediani, Yara S Beyh, Nitika Gupta, Adrianna L Westbrook, Rebecca Cleeton, Maria Cordero, Albert Hernandez, ViLinh Tran, Dean P Jones, Miriam B Vos

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.8field-weighted citation impact, top 29% 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

6 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Diagnostic and predictive biomarkers of acute rejection after liver transplantation.International journal of surgery (London, England) · 2025
    Review
  6. 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

10 authors at 2 institutions in 1 country.

Jennifer K FredianiNell Hodgson Woodruff School of Nursing, Emory University, Atlanta, GA, USA.
Yara S BeyhNutrition and Health Sciences, Rollins School of Public Health, Laney Graduate School, Emory University, Atlanta, GA, USA.
Nitika GuptaDepartment of Pediatrics, Emory University School of Medicine, Atlanta, GA, USA.
Adrianna L WestbrookDepartment of Pediatrics, Emory University School of Medicine, Atlanta, GA, USA.
Rebecca CleetonDepartment of Pediatrics, Emory University School of Medicine, Atlanta, GA, USA.
Maria CorderoDepartment of Pediatrics, Emory University School of Medicine, Atlanta, GA, USA.
Albert HernandezDepartment of Pediatrics, Emory University School of Medicine, Atlanta, GA, USA.
ViLinh TranDepartment of Pulmonology, Emory University School of Medicine, Atlanta, GA, USA.
Dean P JonesDepartment of Pulmonology, Emory University School of Medicine, Atlanta, GA, USA.
Miriam B VosNutrition and Health Sciences, Rollins School of Public Health, Laney Graduate School, Emory University, Atlanta, GA, USA. mvos@emory.edu.
Emory University · USChildren's Healthcare of Atlanta · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pediatric liver transplantation rejection affects 20% of children. Currently, liver biopsy, expensive and invasive, is the best method of diagnosis. Discovery and validation of clinical biomarkers from blood or other biospecimens would improve clinical care. For this study, stored plasma samples were utilized from two cross-sectional cohorts of liver transplant patients at Children's Healthcare of Atlanta. High resolution metabolic profiling was completed using established methods. Children with (n = 18) or without (n = 25) acute cellular rejection were included in the analysis (n = 43 total). The mean age of these racially diverse cohorts ranged from 12.6 years in the rejection group and 13.6 years in the no rejection group. Linear regression provided 510 significantly differentiating metabolites between groups, and OPLS-DA showed 145 metabolites with VIP > 2. A total of 95 overlapping significant metabolites between OPLS-DA and linear regression analyses were detected. Pathway analysis (p < 0.05) showed bile acid biosynthesis and tryptophan metabolism as the top two differentiating pathways. Network analysis also identified tryptophan and clustered with liver enzymes and steroid use. We conclude metabolic profiling of plasma from children with acute liver transplant rejection demonstrates > 500 significant metabolites. This result suggests that development of a non-invasive biomarker-based test is possible for rejection screening.

Indexed as

Graft RejectionLiver TransplantationBiomarkersChildCross-Sectional StudiesHumansLiverMetabolomicsPostoperative ComplicationsTryptophanBiomarkersTryptophan

Identifiers

PMID36333377
PMCPMC9636214
OpenAlexW4308356587

What OpenQuestion holds

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LicenceCC BY
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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.