Evidence map›Paper›PMID 20736923›Full record

ReviewNature reviews. Nephrology2010

Molecular diagnostics in transplantation.

Maarten Naesens, Minnie M Sarwal

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Nephrology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing 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

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

  1. Pooled it
  2. Trial
  3. Review
  4. Review
  5. Circulating TFH2 Cell Expansion and GZMKJournal of asthma and allergy · 2026
    Article
  6. Article
  7. Review
  8. Review
  9. Article
  10. Banff 2019 Meeting Report: Molecular diagnostics in solid organ transplantation-Consensus for the Banff Human Organ Transplant (B-HOT) gene panel and open source multicenter validation.American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons · 2020
    Article
  11. Article
  12. Article
  13. Review
  14. Advances in Detection of Kidney Transplant Injury.Molecular diagnosis & therapy · 2019
    Review
  15. Precision Transplant Medicine: Biomarkers to the Rescue.Journal of the American Society of Nephrology : JASN · 2018
    Review
  16. Article
  17. MicroRNA-146b-5p Identified in Porcine Liver Donation Model is Associated with Early Allograft Dysfunction in Human Liver Transplantation.Medical science monitor : international medical journal of experimental and clinical research · 2017
    Article
  18. Advances in diagnostics for transplant rejection.Expert review of molecular diagnostics · 2016
    Review
  19. Article
  20. Risk Stratification for Rejection and Infection after Kidney Transplantation.Clinical journal of the American Society of Nephrology : CJASN · 2015
    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

2 authors.

Maarten NaesensDepartment of Nephrology and Renal Transplantation, University Hospitals Leuven, 3000 Leuven, Belgium. maarten.naesens@uzleuven.be
Minnie M Sarwal

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The past few decades are characterized by an explosive evolution of genetics and molecular cell biology. Advances in chemistry and engineering have enabled increased data throughput, permitting the study of complete sets of molecules with increasing speed and accuracy using techniques such as genomics, transcriptomics, proteomics, and metabolomics. Prediction of long-term outcomes in transplantation is hampered by the absence of sufficiently robust biomarkers and a lack of adequate insight into the mechanisms of acute and chronic alloimmune injury and the adaptive mechanisms of immunological quiescence that may support transplantation tolerance. Here, we discuss some of the great opportunities that molecular diagnostic tools have to offer both basic scientists and translational researchers for bench-to-bedside clinical application in transplantation medicine, with special focus on genomics and genome-wide association studies, epigenetics (DNA methylation and histone modifications), gene expression studies and transcriptomics (including microRNA and small interfering RNA studies), proteomics and peptidomics, antibodyomics, metabolomics, chemical genomics and functional imaging with nanoparticles. We address the challenges and opportunities associated with the newer high-throughput sequencing technologies, especially in the field of bioinformatics and biostatistics, and demonstrate the importance of integrative approaches. Although this Review focuses on transplantation research and clinical transplantation, the concepts addressed are valid for all translational research.

Indexed as

Molecular Diagnostic TechniquesAntibodiesEpigenomicsGene ExpressionGenomicsHumansMetabolomicsOrgan TransplantationProteinsAntibodiesProteins

Identifiers

What OpenQuestion holds

Textmetadata
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.