Evidence map›Paper›PMID 33902556›Full record

Observational studyRespiratory research2021

Association of plasma mitochondrial DNA with COPD severity and progression in the SPIROMICS cohort.

William Z Zhang, Katherine L Hoffman, Kristen T Schiffer, Clara Oromendia, Michelle C Rice, Igor Barjaktarevic, Stephen P Peters, Nirupama Putcha, Russell P Bowler, J Michael Wells and 15 more

Registry-linked trialOpen access · goldAbstract readMulticenter StudyObservational Study
In one paragraph

Observational study in Respiratory research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01969344 (Subpopulations and Intermediate Outcome Measures in COPD Study), which is not on this map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
2.8field-weighted citation impact, top 9% 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.

NCT01969344 active not recruitingnot on this map

Subpopulations and Intermediate Outcome Measures in COPD Study

TypeobservationalSponsorUniversity of North Carolina, Chapel HillRan2010 to 2031Enrolled2,981ConditionsCOPD, Chronic Obstructive Pulmonary Disease, Chronic Bronchitis, Emphysema
3 · Its place in the literature

Who cites it

22 citing papers in PubMed, 29 citations in OpenAlex.

  1. Review
  2. Review
  3. Mitochondrial-derived microproteins in lung disease: insights and implications.American journal of physiology. Lung cellular and molecular physiology · 2026
    Review
  4. Mechanisms Underlying Altitude-Induced and Group 3 Pulmonary Hypertension.International journal of molecular sciences · 2026
    Review
  5. Review
  6. Hypoxic Status in COPD and ARDS Patients: Impact on Lipid Signature.International journal of molecular sciences · 2025
    Article
  7. Mitochondrial DNA signals driving immune responses: Why, How, Where?Cell communication and signaling : CCS · 2025
    Review
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Review
  14. Review
  15. Article
  16. Article
  17. Review
  18. Review
  19. 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

25 authors at 11 institutions in 2 countries.

William Z ZhangDivision of Pulmonary and Critical Care Medicine, Joan and Sanford I. Weill Department of Medicine, Weill Cornell Medicine, New York, NY, USA.
Katherine L HoffmanDepartment of Population Health Science, Division of Biostatistics and Epidemiology, Weill Cornell Medicine, New York, NY, USA.
Kristen T SchifferDivision of Pulmonary and Critical Care Medicine, Joan and Sanford I. Weill Department of Medicine, Weill Cornell Medicine, New York, NY, USA.
Clara OromendiaDepartment of Population Health Science, Division of Biostatistics and Epidemiology, Weill Cornell Medicine, New York, NY, USA.
Michelle C RiceDivision of Nephrology and Hypertension, Joan and Sanford I. Weill Department of Medicine, Weill Cornell Medicine, New York, NY, USA.
Igor BarjaktarevicDivision of Pulmonary and Critical Care Medicine, University of California Los Angeles Medical Center, Los Angeles, CA, USA.
Stephen P PetersPulmonary, Critical Care, Allergy, and Immunologic Medicine, Wake Forest School of Medicine, Winston-Salem, NC, USA.
Nirupama PutchaJohns Hopkins University School of Medicine, Baltimore, MD, USA.
Russell P BowlerDivision of Pulmonary, Critical Care and Sleep Medicine, National Jewish Health, Denver, CO, USA.
J Michael WellsUniversity of Alabama at Birmingham, Birmingham, AL, USA.
David J CouperDepartment of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Wassim W LabakiDivision of Pulmonary and Critical Care Medicine, University of Michigan Health System, Ann Arbor, MI, USA.
Jeffrey L CurtisDivision of Pulmonary and Critical Care Medicine, University of Michigan Health System, Ann Arbor, MI, USA.
Meilan K HanDivision of Pulmonary and Critical Care Medicine, University of Michigan Health System, Ann Arbor, MI, USA.
Robert PaineSection of Pulmonary and Critical Care Medicine, Salt Lake City Department of Veterans Affairs Medical Center, Salt Lake City, UT, USA.
Prescott G WoodruffUniversity of California at San Francisco, San Francisco, CA, USA.
Gerard J CrinerDepartment of Pulmonary & Critical Care Medicine, Temple University, Philadelphia, PA, USA.
Nadia N HanselJohns Hopkins University School of Medicine, Baltimore, MD, USA.
Ivan DiazDepartment of Population Health Science, Division of Biostatistics and Epidemiology, Weill Cornell Medicine, New York, NY, USA.
Karla V BallmanDepartment of Population Health Science, Division of Biostatistics and Epidemiology, Weill Cornell Medicine, New York, NY, USA.
Kiichi NakahiraDivision of Pulmonary and Critical Care Medicine, Joan and Sanford I. Weill Department of Medicine, Weill Cornell Medicine, New York, NY, USA.
Mary E ChoiWeill Cornell Medicine, New York-Presbyterian Hospital, New York, NY, USA.
Fernando J MartinezDivision of Pulmonary and Critical Care Medicine, Joan and Sanford I. Weill Department of Medicine, Weill Cornell Medicine, New York, NY, USA.
Augustine M K ChoiDivision of Pulmonary and Critical Care Medicine, Joan and Sanford I. Weill Department of Medicine, Weill Cornell Medicine, New York, NY, USA.
Suzanne M CloonanDivision of Pulmonary and Critical Care Medicine, Joan and Sanford I. Weill Department of Medicine, Weill Cornell Medicine, New York, NY, USA. szc2009@med.cornell.edu.ORCID http://orcid.org/0000-0001-5301-9926
Cornell University · USNewYork–Presbyterian Hospital · USMichigan Medicine · USJohns Hopkins University · USNational Jewish Health · USTemple University · USTrinity College Dublin · IEUniversity of Alabama at Birmingham · USUniversity of California, Los Angeles · USUniversity of North Carolina at Chapel Hill · USWake Forest University · US

Funding

SPIROMICS II: Biological underpinnings of COPD heterogeneity and progressionU01HL137880 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI WOODRUFF, PRESCOTT G · 2017 to 2021
$27.9M
SPIROMICS GIC SupportU24HL141762 · NHLBI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI COUPER, DAVID J, O'NEAL, WANDA K · 2018 to 2022
$7.2M
Multidisciplinary Approach Training in Respiratory ResearchT32HL134629 · NHLBI · WEILL MEDICAL COLL OF CORNELL UNIV · PI Robert J Kaner, Heather Winona Stout Delgado · 2018 to 2026
$5.2M
Metabolic dysfunction regulates mitophagy-dependent necroptosis in COPDR01HL132198 · NHLBI · WEILL MEDICAL COLL OF CORNELL UNIV · PI CHOI, AUGUSTINE M, CHOI, MARY E · 2017 to 2020
$2.2M
NHLBI NIH HHS HHSN268200900013CNHLBI NIH HHS HHSN268200900014CNHLBI NIH HHS HHSN268200900015CNHLBI NIH HHS HHSN268200900016CNHLBI NIH HHS HHSN268200900017CNHLBI NIH HHS HHSN268200900018CNHLBI NIH HHS HHSN268200900019CNHLBI NIH HHS HHSN268200900020CNHLBI NIH HHS R01 HL132198NHLBI NIH HHS T32 HL134629NHLBI NIH HHS U01 HL137880NHLBI NIH HHS U24 HL141762
6 · The paper itself

Abstract

backgroundThere is a lack of mechanism-driven, clinically relevant biomarkers in chronic obstructive pulmonary disease (COPD). Mitochondrial dysfunction, a proposed disease mechanism in COPD, is associated with the release of mitochondrial DNA (mtDNA), but plasma cell-free mtDNA has not been previously examined prospectively for associations with clinical COPD measures.

methodsP-mtDNA, defined as copy number of mitochondrially-encoded NADH dehydrogenase-1 (MT-ND1) gene, was measured by real-time quantitative PCR in 700 plasma samples from participants enrolled in the Subpopulations and Intermediate Outcome Measures in COPD Study (SPIROMICS) cohort. Associations between p-mtDNA and clinical disease parameters were examined, adjusting for age, sex, smoking status, and for informative loss to follow-up.

resultsP-mtDNA levels were higher in participants with mild or moderate COPD, compared to smokers without airflow obstruction, and to participants with severe COPD. Baseline increased p-mtDNA levels were associated with better CAT scores in female smokers without airflow obstruction and female participants with mild or moderate COPD on 1-year follow-up, but worse 6MWD in females with severe COPD. Higher p-mtDNA levels were associated with better 6MWD in male participants with severe COPD. These associations were no longer significant after adjusting for informative loss to follow-up.

conclusionIn this study, p-mtDNA levels associated with baseline COPD status but not future changes in clinical COPD measures after accounting for informative loss to follow-up. To better characterize mitochondrial dysfunction as a potential COPD endotype, these results should be confirmed and validated in future studies.

trial registrationClinicalTrials.gov NCT01969344 (SPIROMICS).

Indexed as

AgedDisease ProgressionDNA, MitochondrialExercise ToleranceFemaleForced Expiratory VolumeHumansLongitudinal StudiesLungMaleMiddle AgedNADH DehydrogenaseProspective StudiesPulmonary Disease, Chronic ObstructiveSeverity of Illness IndexSmokersDNA, MitochondrialNADH DehydrogenaseNADH dehydrogenase subunit 1, humanCOPDMitochondrial dysfunctionmtDNASPIROMICS

Identifiers

PMID33902556
PMCPMC8074408
OpenAlexW3159652848

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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.