Evidence map›Paper›PMID 31660901›Full record

ArticleBMC nephrology2019

Urinary cell-free mitochondrial and nuclear deoxyribonucleic acid correlates with the prognosis of chronic kidney diseases.

Chia-Chu Chang, Ping-Fang Chiu, Chia-Lin Wu, Cheng-Ling Kuo, Ching-Shan Huang, Chin-San Liu, Ching-Hui Huang

Registry-linked trialAbstract read
In one paragraph

Article in BMC nephrology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05458063 (The Effectiveness of the Urine Mitochondrial Deoxyribonucleic Acid and, Serum Beta 2 Microglobulin as a Biomarker of Renal Function Impairment in Critically Ill Surgical Patients), which is not on this map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
–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.

NCT05458063 completednot on this mapstarted 2022, after this paper: background citation

The Effectiveness of the Urine Mitochondrial Deoxyribonucleic Acid and, Serum Beta 2 Microglobulin as a Biomarker of Renal Function Impairment in Critically Ill Surgical Patients

TypeobservationalSponsorWonju Severance Christian HospitalRan2022 to 2024Enrolled113ConditionsSurgery-Complications, Acute Kidney Injury, Critical Illness
3 · Its place in the literature

Who cites it

21 citing papers in PubMed.

  1. Trial
  2. Review
  3. Review
  4. Review
  5. Review
  6. Article
  7. Article
  8. Review
  9. Roles of Mitochondrial DNA Damage in Kidney Diseases: A New Biomarker.International journal of molecular sciences · 2022
    Review
  10. Article
  11. Review
  12. Review
  13. Review
  14. Article
  15. Article
  16. Review
  17. Review
  18. Review
  19. Mitochondrial DNA: A New Predictor of Diabetic Kidney Disease.International journal of endocrinology · 2020
    Review
  20. 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

7 authors.

Chia-Chu ChangDepartment of Internal Medicine, Kuang Tien General Hospital, Taichung, Taiwan.
Ping-Fang ChiuSchool of Medicine, Chung Shan Medical University, Taichung, Taiwan.
Chia-Lin WuNephrology Division, Department of Internal Medicine, Changhua Christian Hospital, Changhua, Taiwan.
Cheng-Ling KuoVascular & Genomic Research Center, Changhua Christian Hospital, Changhua, Taiwan.
Ching-Shan HuangVascular & Genomic Research Center, Changhua Christian Hospital, Changhua, Taiwan.
Chin-San LiuVascular & Genomic Research Center, Changhua Christian Hospital, Changhua, Taiwan.
Ching-Hui HuangVascular & Genomic Research Center, Changhua Christian Hospital, Changhua, Taiwan. 28071@cch.org.tw.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionCell-free deoxyribonucleic acid DNA (cf-DNA) in urine is promising due to the advantage of urine as an easily obtained and non-invasive sample source over tissue and blood. In clinical practice, it is important to identify non-invasive biomarkers of chronic kidney disease (CKD) in monitoring and surveillance of disease progression. Information is limited, however, regarding the relationship between urine and plasma cf-DNA and the renal outcome in CKD patients.

methodsOne hundred and thirty-one CKD patients were enrolled between January 2016 and September 2018. Baseline urine and plasma cell-free mitochondrial DNA (cf-mtDNA) and cell-free nuclear DNA (cf-nDNA) were isolated using quantitative real-time PCR. Estimated glomerular filtration rate (eGFR) measurement was performed at baseline and 6-month follow-up. Favorable renal outcome was defined as eGFR at 6 months minus baseline eGFR> = 0. Receiver operator characteristics (ROC) curve analysis was performed to assess different samples of cf-DNA to predict favorable renal outcomes at 6 months. A multivariate linear regression model was used to evaluate independent associations between possible predictors and different samples of cf-DNA.

resultsPatients with an advanced stage of CKD has significantly low plasma cf-nDNA and high plasma neutrophil gelatinase-associated lipocalin (NGAL) levels. Low urine cf-mtDNA, cf-nDNA levels and low plasma NGAL were significantly correlated with favorable renal outcomes at 6 months. The urine albumin-creatinine ratio (ACR) or urine protein-creatinine ratio (PCR) level is a robust predictor of cf-mtDNA and cf-nDNA in CKD patients. Baseline urine levels of cf-mtDNA and cf-nDNA could predict renal outcomes at 6 months.

conclusionsUrinary cf-mtDNA and cf-nDNA may provide novel prognostic biomarkers for renal outcome in CKD patients. The levels of plasma cf-nDNA and plasma NGAL are significantly correlated with the severity of CKD.

Indexed as

AdultAgedAlbuminuriaArea Under CurveBiomarkersCell-Free Nucleic AcidsCreatinineDisease ProgressionDNA, MitochondrialFemaleGlomerular Filtration RateHumansLipocalin-2MaleMiddle AgedPredictive Value of TestsBiomarkersCell-Free Nucleic AcidsCreatinineDNA, MitochondrialLCN2 protein, humanLipocalin-2Cell-free mitochondrial deoxyribonucleic acidCell-free nuclear deoxyribonucleic acidCf-mtDNACf-nDNAChronic kidney diseaseNeutrophil gelatinase-associated lipocalinNGAL

Identifiers

PMID31660901
PMCPMC6816217

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Registered trials

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.