Evidence map›Paper›PMID 28558802›Full record

ArticleBMC nephrology2017

Serum micro-rna profiles in patients with autosomal dominant polycystic kidney disease according to hypertension and renal function.

Ismail Kocyigit, Serpil Taheri, Elif Funda Sener, Eray Eroglu, Fahir Ozturk, Aydin Unal, Kezban Korkmaz, Gokmen Zararsiz, Murat Hayri Sipahioglu, Yusuf Ozkul and 4 more

Open access · goldAbstract read
In one paragraph

Article in BMC nephrology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
1.8field-weighted citation impact, top 14% 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

18 citing papers in PubMed, 1 synthesis or guideline pooled it, 30 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
  6. Review
  7. Review
  8. Review
  9. Eight Differential miRNAs in DN Identified by Microarray Analysis as Novel Biomarkers.Diabetes, metabolic syndrome and obesity : targets and therapy · 2022
    Article
  10. Recent Discoveries in Epigenetic Modifications of Polycystic Kidney Disease.International journal of molecular sciences · 2021
    Review
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. 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

14 authors at 3 institutions in 2 countries.

Ismail KocyigitDepartment of Internal Medicine, Division of Nephrology, Erciyes University Medical Faculty, Kayseri, Turkey.
Serpil TaheriDepartment of Medical Biology, Erciyes University Medical Faculty, Kayseri, Turkey.
Elif Funda SenerDepartment of Medical Biology, Erciyes University Medical Faculty, Kayseri, Turkey.
Eray ErogluDepartment of Internal Medicine, Division of Nephrology, Erciyes University Medical Faculty, Kayseri, Turkey.
Fahir OzturkDepartment of Internal Medicine, Erciyes University Medical Faculty, Kayseri, Turkey.
Aydin UnalDepartment of Internal Medicine, Division of Nephrology, Erciyes University Medical Faculty, Kayseri, Turkey.
Kezban KorkmazBetul-Ziya Eren Genome and Stem Cell Center, Erciyes University Medical Faculty, Kayseri, Turkey.
Gokmen ZararsizDepartment of Biostatistics, Erciyes University, Kayseri, Turkey.
Murat Hayri SipahiogluDepartment of Internal Medicine, Division of Nephrology, Erciyes University Medical Faculty, Kayseri, Turkey.
Yusuf OzkulBetul-Ziya Eren Genome and Stem Cell Center, Erciyes University Medical Faculty, Kayseri, Turkey.
Bulent TokgozDepartment of Internal Medicine, Division of Nephrology, Erciyes University Medical Faculty, Kayseri, Turkey.
Oktay OymakDepartment of Internal Medicine, Division of Nephrology, Erciyes University Medical Faculty, Kayseri, Turkey.
Tevfik EcderDepartment of Internal Medicine, Division of Nephrology, Istanbul Bilim University, Istanbul, Turkey.
Jonas AxelssonDivision of Vascular Biology, Department of Medical Biochemistry and Biophysics, Karolinska institutet, Karolinska University Hospital, Stockholm, Sweden. jonas.axelsson@ki.se.ORCID http://orcid.org/0000-0002-7377-9356
Erciyes University · TRIstanbul Bilim University · TRKarolinska University Hospital · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAutosomal dominant polycystic kidney disease (ADPKD) is a common hereditary disorder with unclear disease mechanism. Currently, overt hypertension and increased renal volume are the best predictors of renal function. In this study, we assessed the usefulness of selected circulating microRNAs (miRs) to predict disease progress in a cohort with ADPKD.

methodsEighty ADPKD patients (44.6 ± 12.7 years, 40% female, 65% hypertensive) and 50 healthy subjects (HS; 45.4 ± 12.7, 44% female) were enrolled in the study. Serum levels of 384 miRs were determined by Biomark Real Time PCR. Groups were compared using the limma method with multiple-testing correction as proposed by Smyth (corrected p < 0.01 considered significant).

resultsComparing ADPKD to HS, we found significant differences in blood levels of 18 miRs (3 more and 15 less abundant). Of these, miR-3907, miR-92a-3p, miR-25-3p and miR-21-5p all rose while miR-1587 and miR-3911 decreased as renal function declined in both cross-sectional and longitudinal analysis. Using ROC analysis, an increased baseline miR-3907 in the circulation predicted a > 10% loss of GFR over the following 12 months (cut-off >2.2 AU, sensitivity 83%, specificity 78%, area 0.872 [95% CI: 0.790-0.953, p < 0.001]). Adjusting for age and starting CKD stage using multiple binary logistic regression analysis did not abrogate the predictive value.

conclusionIncreased copy numbers of miR-3907 in the circulation may predict ADPKD progression and suggest pathophysiological pathways worthy of further study.

Indexed as

AdultArea Under CurveCase-Control StudiesDisease ProgressionFemaleGlomerular Filtration RateHumansHypertensionMaleMicroRNAsMiddle AgedPolycystic Kidney, Autosomal DominantPredictive Value of TestsROC CurveYoung AdultMicroRNAsMIRN1587 microRNA, humanMIRN21 microRNA, humanMIRN25 microRNA, humanMIRN92 microRNA, human

Identifiers

PMID28558802
PMCPMC5450105
OpenAlexW2616937861

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.