Evidence map›Paper›PMID 38349571›Full record

ArticleHuman genetics2024

Mitochondrial genetic variation and risk of chronic kidney disease and acute kidney injury in UK Biobank participants.

Vasantha Jotwani, Stephanie Y Yang, Heather Thiessen-Philbrook, Chirag R Parikh, Ronit Katz, Gregory J Tranah, Joachim H Ix, Steve Cummings, Sushrut S Waikar, Michael G Shlipak and 3 more

Open access · hybridAbstract read
In one paragraph

Article in Human genetics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.3field-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

7 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Associations of Blood Mitochondrial DNA Quality and Quantity with Risk of Kidney Function Decline.Clinical journal of the American Society of Nephrology : CJASN · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Review
  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

13 authors at 8 institutions in 1 country.

Vasantha JotwaniDepartment of Medicine, Kidney Health Research Collaborative, San Francisco Veterans Affairs Health Care System and University of California San Francisco, 4150 Clement Street, Bldg 2, Rm 145, San Francisco, CA, 94121, USA. Vasantha.Jotwani@ucsf.edu.ORCID http://orcid.org/0000-0003-1913-3957
Stephanie Y YangDepartment of Genetic Medicine, McKusick-Nathans Institute, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Heather Thiessen-PhilbrookDivision of Nephrology, School of Medicine, Johns Hopkins University, Baltimore, MD, USA.
Chirag R ParikhDivision of Nephrology, School of Medicine, Johns Hopkins University, Baltimore, MD, USA.
Ronit KatzDepartment of Obstetrics and Gynecology, University of Washington, Seattle, WA, USA.
Gregory J TranahCalifornia Pacific Medical Center Research Institute, San Francisco, CA, USA.
Joachim H IxDivision of Nephrology-Hypertension, University of California San Diego, and Veterans Affairs San Diego Healthcare System, San Diego, CA, USA.
Steve CummingsDepartment of Medicine, Kidney Health Research Collaborative, San Francisco Veterans Affairs Health Care System and University of California San Francisco, 4150 Clement Street, Bldg 2, Rm 145, San Francisco, CA, 94121, USA.
Sushrut S WaikarSection of Nephrology, Department of Medicine, Boston University School of Medicine and Boston Medical Center, Boston, MA, USA.
Michael G ShlipakDepartment of Medicine, Kidney Health Research Collaborative, San Francisco Veterans Affairs Health Care System and University of California San Francisco, 4150 Clement Street, Bldg 2, Rm 145, San Francisco, CA, 94121, USA.
Mark J SarnakDivision of Nephrology, Tufts Medical Center, Boston, MA, USA.
Samir M ParikhDivision of Nephrology, Department of Medicine, and Department of Pharmacology, University of Texas Southwestern Medical School, Dallas, TX, USA.
Dan E ArkingDepartment of Genetic Medicine, McKusick-Nathans Institute, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Johns Hopkins University · USUniversity of California, San Francisco · USBoston University · USCalifornia Pacific Medical Center · USThe University of Texas Southwestern Medical Center · USTufts Medical Center · USUniversity of California San Diego · USUniversity of Washington · US

Funding

Novel Biomarkers in Cardiac Surgery to Detect Acute Kidney InjuryR01HL085757 · NHLBI · YALE UNIVERSITY · PI PARIKH, CHIRAG R · 2007 to 2019
$10.3M
Novel Kidney Injury Tools in Deceased Organ Donation to Predict Graft OutcomesR01DK093770 · NIDDK · YALE UNIVERSITY · PI Chirag R Parikh · 2012 to 2026
$9.5M
The Aging Kidney: Chronic Injury, Impaired Functions and Clinical OutcomesR01AG027002 · NIA · TUFTS MEDICAL CENTER · PI PARIKH, SAMIR M, SARNAK, MARK J · 2005 to 2022
$7.3M
Tie2-driven vascular control in critical illnessR35HL139424 · NHLBI · UT SOUTHWESTERN MEDICAL CENTER · PI PARIKH, SAMIR M · 2018 to 2024
$6.4M
Mitochondrial DNA heteroplasmy and risk for atherosclerotic cardiovascular disease (ASCVD)R01HL144569 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI ARKING, DAN E · 2019 to 2022
$3.1M
Airway Epithelial Reprogramming in AsthmaR01HL138424 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI ERLE, DAVID J · 2017 to 2018
$1.3M
Leveraging Clinical Trials of Diabetic Kidney Disease to Advance BiomarkersU01DK106962 · NIDDK · YALE UNIVERSITY · PI COCA, STEVEN G, PARIKH, CHIRAG R · 2015 to 2019
$1.3M
AKI Matched Phenotype Linked Evaluation with Tissue (AMPLE-Tissue)UH3DK114866 · NIDDK · JOHNS HOPKINS UNIVERSITY · PI PARIKH, CHIRAG R · 2019 to 2021
$900k
NHLBI NIH HHS R01 HL085757NHLBI NIH HHS R01 HL138424NHLBI NIH HHS R01 HL144569NHLBI NIH HHS R01HL144569NHLBI NIH HHS R35 HL139424NIA NIH HHS R01 AG027002NIA NIH HHS R01AG027002NIDDK NIH HHS R01 DK093770NIDDK NIH HHS U01 DK106962NIDDK NIH HHS UH3 DK114866
6 · The paper itself

Abstract

Experimental models suggest an important role for mitochondrial dysfunction in the pathogenesis of chronic kidney disease (CKD) and acute kidney injury (AKI), but little is known regarding the impact of common mitochondrial genetic variation on kidney health. We sought to evaluate associations of inherited mitochondrial DNA (mtDNA) variation with risk of CKD and AKI in a large population-based cohort. We categorized UK Biobank participants who self-identified as white into eight distinct mtDNA haplotypes, which were previously identified based on their associations with phenotypes associated with mitochondrial DNA copy number, a measure of mitochondrial function. We used linear and logistic regression models to evaluate associations of these mtDNA haplotypes with estimated glomerular filtration rate by serum creatinine and cystatin C (eGFR

Indexed as

Acute Kidney InjuryKidney Failure, ChronicRenal Insufficiency, ChronicAgedBiological Specimen BanksCreatinineDNA, MitochondrialGenetic VariationGlomerular Filtration RateHumansMiddle AgedMitochondriaUK BiobankCreatinineDNA, Mitochondrial

Identifiers

PMID38349571
PMCPMC10881785
OpenAlexW4391780418

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.