Evidence map›Paper›PMID 34436474›Full record

ArticleMetabolites2021

Kidney Allograft Function Is a Confounder of Urine Metabolite Profiles in Kidney Allograft Recipients.

Karsten Suhre, Darshana M Dadhania, John Richard Lee, Thangamani Muthukumar, Qiuying Chen, Steven S Gross, Manikkam Suthanthiran

Abstract read
In one paragraph

Article in Metabolites, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
–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.

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

10 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Article
  4. Observational
  5. NADTrends in molecular medicine · 2025
    Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
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

7 authors.

Karsten SuhreBioinformatics Core, Weill Cornell Medicine-Qatar, Doha 122104, Qatar.ORCID 0000-0001-9638-3912
Darshana M DadhaniaDivision of Nephrology and Hypertension, Department of Medicine, New York Presbyterian Hospital-Weill Cornell Medicine, New York, NY 10065, USA.
John Richard LeeDivision of Nephrology and Hypertension, Department of Medicine, New York Presbyterian Hospital-Weill Cornell Medicine, New York, NY 10065, USA.ORCID 0000-0002-9612-5742
Thangamani MuthukumarDivision of Nephrology and Hypertension, Department of Medicine, New York Presbyterian Hospital-Weill Cornell Medicine, New York, NY 10065, USA.
Qiuying ChenDepartment of Pharmacology, Weill Cornell Medicine, New York, NY 10065, USA.
Steven S GrossDepartment of Pharmacology, Weill Cornell Medicine, New York, NY 10065, USA.
Manikkam SuthanthiranDivision of Nephrology and Hypertension, Department of Medicine, New York Presbyterian Hospital-Weill Cornell Medicine, New York, NY 10065, USA.

Funding

Administrative Supplement to NIH MERIT Award R37AI051652-13Mendez National Institute of Transplantation Foundation NAQatar Foundation Biomedical Research Program at Weill Cornell Medicine in QatarWeill Cornell Medical College Clinical and Translational Science Center Award UL1TR000457
6 · The paper itself

Abstract

Noninvasive biomarkers of kidney allograft status can help minimize the need for standard of care kidney allograft biopsies. Metabolites that are measured in the urine may inform about kidney function and health status, and potentially identify rejection events. To test these hypotheses, we conducted a metabolomics study of biopsy-matched urine cell-free supernatants from kidney allograft recipients who were diagnosed with two major types of acute rejections and no-rejection controls. Non-targeted metabolomics data for 674 metabolites and 577 unidentified molecules, for 192 biopsy-matched urine samples, were analyzed. Univariate and multivariate analyses identified metabolite signatures for kidney allograft rejection. The replicability of a previously developed urine metabolite signature was examined. Our study showed that metabolite profiles can serve as biomarkers for discriminating rejection biopsies from biopsies without rejection features, but also revealed a role of estimated Glomerular Filtration Rate (eGFR) as a major confounder of the metabolite signal.

Indexed as

allograft rejectionassociation studyeGFRkidney transplantationmetabolomicsurine analytics

Identifiers

PMID34436474
PMCPMC8399888

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.