Evidence map›Paper›PMID 32086547›Full record

ArticleArchives of toxicology2020

Circulating human microRNA biomarkers of oxalic acid-induced acute kidney injury.

Fathima Shihana, Mugdha V Joglekar, Jacques Raubenheimer, Anandwardhan A Hardikar, Nicholas A Buckley, Devanshi Seth

Abstract read
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In one paragraph

Article in Archives of toxicology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
2.0field-weighted citation impact, top 16% 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 26 citations in OpenAlex.

  1. Pooled it
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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

6 authors at 2 institutions in 2 countries.

Fathima ShihanaClinical Pharmacology and Toxicology Research Group, Discipline of Pharmacology, Faculty of Medicine and Health, The University of Sydney, Level 3, 1-3 Ross St (K06), Sydney, NSW, 2006, Australia. fhan0023@sydney.edu.au.ORCID http://orcid.org/0000-0002-6362-1221
Mugdha V JoglekarDiabetes and Islet Biology Group, NHMRC Clinical Trials Centre, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia.
Jacques RaubenheimerClinical Pharmacology and Toxicology Research Group, Discipline of Pharmacology, Faculty of Medicine and Health, The University of Sydney, Level 3, 1-3 Ross St (K06), Sydney, NSW, 2006, Australia.
Anandwardhan A HardikarDiabetes and Islet Biology Group, NHMRC Clinical Trials Centre, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia.
Nicholas A BuckleyClinical Pharmacology and Toxicology Research Group, Discipline of Pharmacology, Faculty of Medicine and Health, The University of Sydney, Level 3, 1-3 Ross St (K06), Sydney, NSW, 2006, Australia.
Devanshi SethDiscipline of Clinical Medicine and Addiction Medicine, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia.
The University of Sydney · AUUniversity of Peradeniya · LK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Oxalic acid-induced nephrotoxicity and acute kidney injury result from formation of calcium oxalate crystals. Oxalic acid-induced acute kidney injury is a significant problem in many parts of the world. Circulating biomarkers that can accurately and reproducibly detect acute kidney injury are highly desirable. We used a high sensitivity discovery platform to identify signature microRNAs to distinguish healthy individuals never exposed to oxalic acid (n = 4) from those who were exposed to oxalic acid but had no injury (NOAKI; n = 4), moderate injury (AKIN2; n = 4) or severe injury (AKIN3; n = 4). Longitudinal analyses identified 4-8 h post-ingestion as the best time to detect AKIN2/3. We validated a signature of 53 microRNAs identified in the discovery, in a second cohort of individuals exposed to oxalic acid (NOAKI = 11, AKIN2 = 8 and AKIN3 = 18) and healthy controls (n = 19). Thirteen microRNAs were significantly downregulated in acute kidney injury patients compared to NOAKI within 8-h post-ingestion. Five microRNAs (miR-20a, miR-92a, miR-93, miR-195, miR-451) had a highly significant correlation with normalized urinary albumin, serum creatinine at 24 h and creatinine clearance. Logistic regression of these microRNAs had AUC-ROC of 0.85 predicting AKIN2/3 and discriminated patients from healthy controls (AUC-ROC = 0.93). mRNA targets of these microRNAs identified oxidative stress pathways of nephrotoxicity in proximal tubule and glomeruli nephrotoxicity. In conclusion, the downregulation of multiple circulating microRNAs in patients correlated with the severity of oxalic acid-induced acute kidney injury. A set of microRNAs (miR-20a, miR-92a, miR-93, miR-195, miR-451) could be promising biomarkers for early detection of oxalic acid-induced acute kidney injury.

Indexed as

Acute Kidney InjuryAdultBiomarkersCase-Control StudiesCirculating MicroRNACohort StudiesCreatinineDown-RegulationFemaleHumansKidneyKidney Tubules, ProximalMaleMicroRNAsMiddle AgedOxalic AcidBiomarkersCirculating MicroRNACreatinineMicroRNAsOxalic AcidAcute kidney injuryNephrotoxicityOxalate poisoningSerum miRNA

Identifiers

PMID32086547
OpenAlexW3008705482

What OpenQuestion holds

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Registered trials

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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.