Evidence map›Paper›PMID 33481955›Full record

Observational studyPloS one2021

Early prognostic performance of miR155-5p monitoring for the risk of rejection: Logistic regression with a population pharmacokinetic approach in adult kidney transplant patients.

Luis Quintairos, Helena Colom, Olga Millán, Virginia Fortuna, Cristina Espinosa, Lluis Guirado, Klemens Budde, Claudia Sommerer, Ana Lizana, Yolanda López-Púa and 1 more

Abstract readMulticenter StudyObservational Study
In one paragraph

Observational study in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 2 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

7 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Observational
  4. Observational
  5. Article
  6. Observational
  7. 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

11 authors.

Luis QuintairosFaculty of Pharmacy and Food Sciences, Biopharmaceutics and Pharmacokinetics Unit, Department of Pharmacy, Pharmaceutical Technology and Physical Chemistry, University of Barcelona, Barcelona, Spain.ORCID 0000-0002-9133-350X
Helena ColomFaculty of Pharmacy and Food Sciences, Biopharmaceutics and Pharmacokinetics Unit, Department of Pharmacy, Pharmaceutical Technology and Physical Chemistry, University of Barcelona, Barcelona, Spain.
Olga MillánPharmacology and Toxicology Laboratory, Biochemistry and Molecular Genetics, Biomedical Diagnostic Center (CDB), Hospital Clinic of Barcelona, University of Barcelona, Barcelona, Spain.
Virginia FortunaPharmacology and Toxicology Laboratory, Biochemistry and Molecular Genetics, Biomedical Diagnostic Center (CDB), Hospital Clinic of Barcelona, University of Barcelona, Barcelona, Spain.
Cristina EspinosaPharmacology and Toxicology Laboratory, Biochemistry and Molecular Genetics, Biomedical Diagnostic Center (CDB), Hospital Clinic of Barcelona, University of Barcelona, Barcelona, Spain.
Lluis GuiradoRenal Transplant Unit, Nephrology Department, Fundació Puigvert, Barcelona, Spain.
Klemens BuddeMedizinische Klinik mit Schwerpunkt Nephrologie, Charité Universitätsmedizin Berlin, Berlin, Germany.
Claudia SommererDepartment of Nephrology, University of Heidelberg, University Hospital of Heidelberg and Mannheim, Heidelberg, Germany.
Ana LizanaPharmacology and Toxicology Laboratory, Biochemistry and Molecular Genetics, Biomedical Diagnostic Center (CDB), Hospital Clinic of Barcelona, University of Barcelona, Barcelona, Spain.
Yolanda López-PúaQuality Unit of CDB, Hospital Clinic of Barcelona, University of Barcelona, Barcelona, Spain.
Mercè BrunetPharmacology and Toxicology Laboratory, Biochemistry and Molecular Genetics, Biomedical Diagnostic Center (CDB), Hospital Clinic of Barcelona, University of Barcelona, Barcelona, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Previous results from our group and others have shown that urinary pellet expression of miR155-5p and urinary CXCL-10 production could play a key role in the prognosis and diagnosis of acute rejection (AR) in kidney transplantation patients. Here, a logistic regression model was developed using NONMEM to quantify the relationships of miR155-5p urinary expression, CXCL-10 urinary concentration and tacrolimus and mycophenolic acid (MPA) exposure with the probability of AR in adult kidney transplant patients during the early post-transplant period. Owing to the contribution of therapeutic drug monitoring to achieving target exposure, neither tacrolimus nor MPA cumulative exposure was identified as a predictor of AR in the studied population. Even though CXCL-10 urinary concentration showed a trend, its effect on AR was not significant. In contrast, urinary miR155-5p expression was prognostic of clinical outcome. Monitoring miR155-5p urinary pellet expression together with immunosuppressive drug exposure could be very useful during routine clinical practice to identify patients with a potential high risk of rejection at the early stages of the post-transplant period. This early risk assessment would allow for the optimization of treatment and improved prevention of AR.

Indexed as

AdultFemaleGene Expression RegulationGraft RejectionHumansKidney TransplantationLogistic ModelsMaleMicroRNAsMiddle AgedModels, BiologicalMycophenolic AcidPrognosisRiskTacrolimusMicroRNAsMIRN155 microRNA, humanMycophenolic AcidTacrolimus

Identifiers

PMID33481955
PMCPMC7822507

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.