Evidence map›Paper›PMID 19289845›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2009

MicroRNA expression profiles predictive of human renal allograft status.

Dany Anglicheau, Vijay K Sharma, Ruchuang Ding, Aurélie Hummel, Catherine Snopkowski, Darshana Dadhania, Surya V Seshan, Manikkam Suthanthiran

Open access · greenAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 166 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
166citing papers in PubMed, 2 pooled it
9.5field-weighted citation impact, top 2% 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

166 citing papers in PubMed, 2 syntheses or guidelines pooled it, 332 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. The Biomarker Revolution in Kidney Transplantation.Journal of clinical medicine · 2026
    Review
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  10. Observational
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  18. MicroRNAs in kidney injury and disease.Nature reviews. Nephrology · 2022
    Review
  19. Article
  20. Review

106 more citing papers are in PubMed but not listed here.

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

8 authors at 3 institutions in 2 countries.

Dany AnglicheauDivision of Nephrology and Hypertension, Department of Medicine, New York Presbyterian-Weill Cornell Medical Center, New York, NY 10065, USA.
Vijay K Sharma
Ruchuang Ding
Aurélie Hummel
Catherine Snopkowski
Darshana Dadhania
Surya V Seshan
Manikkam Suthanthiran
Hypertension Institute · USCornell University · USUniversité Paris Cité · FR

Funding

Biomolecular Markers for Safe Minimization of ImmunosuppressionR37AI051652 · NIAID · WEILL MEDICAL COLL OF CORNELL UNIV · PI SUTHANTHIRAN, MANIKKAM · 2009 to 2021
$4.7M
FoxP3 Regulatory Network mRNA Profiles and Human Renal Transplant OutcomesR01AI072790 · NIAID · WEILL MEDICAL COLL OF CORNELL UNIV · PI SUTHANTHIRAN, MANIKKAM · 2007 to 2011
$3.3M
Urine mRNA Profiling for Renal Allograft SurveillanceR01AI051652 · NIAID · WEILL MEDICAL COLL OF CORNELL UNIV · PI SUTHANTHIRAN, MANIKKAM · 2002 to 2006
$2.3M
NIAID NIH HHS AI51652NIAID NIH HHS AI72790NIAID NIH HHS R01 AI051652NIAID NIH HHS R01 AI072790NIAID NIH HHS R37 AI051652
6 · The paper itself

Abstract

Immune rejection of organ transplants is a life-threatening complication and is exemplified by alterations in the expression of protein-encoding genes. Because microRNAs (miRNAs) regulate the expression of genes implicated in adaptive immunity, we investigated whether acute rejection (AR) is associated with alterations in miRNA expression within allografts and whether expression profiles are diagnostic of AR and predict allograft function. Seven of 33 renal allograft biopsies (12 AR and 21 normal) were profiled using microfluidic cards containing 365 mature human miRNAs (training set), and a subset of differentially expressed miRNAs were quantified in the remaining 26 allograft biopsies (validation set). We found a strong association between intragraft expression of miRNAs and messenger RNAs (mRNAs), and that AR, and renal allograft function, could be predicted with a high level of precision using intragraft levels of miRNAs. Our investigation of miRNA expression in normal human peripheral blood mononuclear cells (PBMCs) showed that miRNAs (miR-142-5p, -155, and -223) overexpressed in AR biopsies are highly expressed in PBMCs, and that stimulation with the mitogen phytohaemagglutinin results in an increase in the abundance of miR-155 and a decrease in miR-223 and let-7c. Quantification of miRNAs in primary cultures of human renal epithelial cells (HRECs) showed that miR-30a-3p, -10b, and let-7c are highly expressed in HRECs, and that stimulation results in a decreased expression of miR-30a-3p. Our studies, in addition to suggesting a cellular basis for the altered intragraft expression of miRNAs, propose that miRNA expression patterns may serve as biomarkers of human renal allograft status.

Indexed as

Gene Expression ProfilingArtificial IntelligenceBiomarkersBlood CellsGraft RejectionHumansKidney TransplantationLeukocytes, MononuclearMicroRNAsTransplantation, HomologousBiomarkersMicroRNAsMIR223, humanMIRN155 microRNA, human

Identifiers

PMID19289845
PMCPMC2663998
OpenAlexW2145646761

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.