Evidence map›Paper›PMID 28103909›Full record

ArticleBMC nephrology2017

Potential diagnostic biomarkers for chronic kidney disease of unknown etiology (CKDu) in Sri Lanka: a pilot study.

Saravanabavan Sayanthooran, Dhammika N Magana-Arachchi, Lishanthe Gunerathne, Tilak Abeysekera

Abstract read
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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 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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

24 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Pathomechanisms of Diabetic Kidney Disease.Journal of clinical medicine · 2023
    Review
  5. Article
  6. Review
  7. Review
  8. Review
  9. Article
  10. Review
  11. Article
  12. Article
  13. Toxicology reports · 2021
    Review
  14. Article
  15. Review
  16. Review
  17. Article
  18. Article
  19. Article
  20. Risk factors for chronic kidney disease of non-traditional causes: a systematic review.Revista panamericana de salud publica = Pan American journal of public health · 2019
    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

4 authors.

Saravanabavan SayanthooranCell Biology Group, National Institute of Fundamental Studies, Kandy, Sri Lanka.
Dhammika N Magana-ArachchiCell Biology Group, National Institute of Fundamental Studies, Kandy, Sri Lanka. dmaganaarachchi@gmail.com.
Lishanthe GunerathneRenal Care & Research Centre, District Hospital, Girandurukotte, Sri Lanka.
Tilak AbeysekeraDepartment of Pharmacology, Faculty of Medicine, University of Peradeniya, Kandy, Sri Lanka.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn Sri Lanka, there exists chronic kidney disease of both known (CKD) and unknown etiologies (CKDu). Identification of novel biomarkers that are customized to the specific causative factors would lead to early diagnosis and clearer prognosis of the diseases. This study aimed to find genetic biomarkers in blood to distinguish and identify CKDu from CKD as well as healthy populations from CKDu endemic and non-endemic areas of Sri Lanka.

methodsThe expression patterns of a selected panel of 12 potential genetic biomarkers were analyzed in blood using RT-qPCR. Fold changes of gene expressions in early and late stages of CKD and CKDu patients, and an apparently healthy population of a CKDu endemic area, Girandurukotte (GH) were calculated relative to apparently healthy volunteers from a CKDu non-endemic area, Kandy (KH) of Sri Lanka, using the comparative CT method.

resultsSignificant differences were observed between KH and early stage CKDu for both the insulin-like growth factor binding protein 1 (IGFBP1; p = 0.012) and kidney injury molecule-1 (KIM1; p = 0.003) genes, and KH and late stage CKD and CKDu for the glutathione-S-transferase mu 1 (GSTM1; p < 0.05) gene. IGFBP1 and KIM1 genes showed significant difference between the early and late stage CKDu (p < 0.01). The glutamate cysteine ligase catalytic subunit (GCLC) gene had significantly different expression between KH and all the other study groups (p < 0.01). The GH group was significantly different from the KH group for the oxidative stress related genes, G6PD, GCLC and GSTM1 (p < 0.01), and also the KIM1 gene (p = 0.003). IGFBP1, insulin-like growth factor binding protein 3 (IGFBP3), fibronectin 1 (FN1) and KIM1 showed significant correlations with serum creatinine, and IGFBP1, KIM1 and kallikrein 1 (KLK1) with eGFR (p < 0.05).

conclusionA panel consisting of IGFBP1, KIM1, GCLC and GSTM1 genes could be used in combination for early screening of CKDu, whereas these genes in addition with FN1, IGFBP3 and KLK1 could be used to monitor progression of CKDu. The regulation of these genes has to be studied on larger populations to validate their efficiency for further clinical use.

Indexed as

BiomarkersErbB ReceptorsFeasibility StudiesFemaleGlutamate-Cysteine LigaseGlutathione TransferaseHepatitis A Virus Cellular Receptor 1HumansInsulin-Like Growth Factor Binding Protein 1MaleMiddle AgedPilot ProjectsPrevalenceRenal Insufficiency, ChronicReproducibility of ResultsRisk FactorsBiomarkersEGFR protein, humanErbB ReceptorsGCLC protein, humanGlutamate-Cysteine LigaseGlutathione TransferaseHAVCR1 protein, humanHepatitis A Virus Cellular Receptor 1IGFBP1 protein, humanInsulin-Like Growth Factor Binding Protein 1Gene expression analysisKidney injuryOxidative stressRT-qPCR

Identifiers

PMID28103909
PMCPMC5244589

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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.