Evidence map›Paper›PMID 35682996›Full record

ReviewInternational journal of molecular sciences2022

Molecular Markers of Kidney Transplantation Outcome: Current Omics Tools and Future Developments.

Maryne Lepoittevin, Thomas Kerforne, Luc Pellerin, Thierry Hauet, Raphael Thuillier

Abstract readReview
In one paragraph

Review in International journal of molecular sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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.

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

8 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Molecular Frontiers in Transplantation-Induced Ischemia-Reperfusion Injury.International journal of molecular sciences · 2023
    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

5 authors.

Maryne LepoittevinInserm Unit Ischémie Reperfusion, Métabolisme et Inflammation Stérile en Transplantation (IRMETIST), UMR U1313, Faculty of Medicine and Pharmacy, University of Poitiers, F-86073 Poitiers, France.
Thomas KerforneInserm Unit Ischémie Reperfusion, Métabolisme et Inflammation Stérile en Transplantation (IRMETIST), UMR U1313, Faculty of Medicine and Pharmacy, University of Poitiers, F-86073 Poitiers, France.
Luc PellerinInserm Unit Ischémie Reperfusion, Métabolisme et Inflammation Stérile en Transplantation (IRMETIST), UMR U1313, Faculty of Medicine and Pharmacy, University of Poitiers, F-86073 Poitiers, France.
Thierry HauetInserm Unit Ischémie Reperfusion, Métabolisme et Inflammation Stérile en Transplantation (IRMETIST), UMR U1313, Faculty of Medicine and Pharmacy, University of Poitiers, F-86073 Poitiers, France.ORCID 0000-0002-0117-071X
Raphael ThuillierInserm Unit Ischémie Reperfusion, Métabolisme et Inflammation Stérile en Transplantation (IRMETIST), UMR U1313, Faculty of Medicine and Pharmacy, University of Poitiers, F-86073 Poitiers, France.ORCID 0000-0002-7482-0031

Funding

Centre Hospitalier Universitaire de PoitiersInsermUniversity of Poitiers
6 · The paper itself

Abstract

purpose of reviewThe emerging field of molecular predictive medicine is aiming to change the traditional medical approach in renal transplantation. Many studies have explored potential biomarker molecules with predictive properties in renal transplantation, issued from omics research. Herein, we review the biomarker molecules of four technologies (i.e., Genomics, Transcriptomics, Proteomics, and Metabolomics) associated with favorable kidney transplant outcomes. RECENT

findingsSeveral panels of molecules have been associated with the outcome that the majority of markers are related to inflammation and immune response; although. other molecular ontologies are also represented, such as proteasome, growth, regeneration, and drug metabolism. Throughout this review, we highlight the lack of properly validated statistical demonstration. Indeed, the most preeminent molecular panels either remain at the limited size study stage or are not confirmed during large-scale studies. At the core of this problem, we identify the methodological shortcomings and propose a comprehensive workflow for discovery and validation of molecular biomarkers that aims to improve the relevance of these tools in the future. SUMMARY: Overall, adopting a patient management through omics approach could bring remarkable improvement to transplantation success. An increased effort and investment between scientists, medical biologists, and clinicians seem to be the path toward a proper solution.

Indexed as

Kidney TransplantationBiomarkersGenomicsHumansMetabolomicsProteomicsBiomarkersmolecular biomarkersOMICSpredictive toolrenal transplantation

Identifiers

PMID35682996
PMCPMC9181061

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.