Evidence map›Paper›PMID 30508565›Full record

SynthesisExperimental gerontology2019

Mitochondrial DNA variants and pulmonary function in older persons.

Carlos A Vaz Fragoso, Todd M Manini, John A Kairalla, Thomas W Buford, Fang-Chi Hsu, Thomas M Gill, Stephen B Kritchevsky, Mary M McDermott, Jason L Sanders, Steven R Cummings and 1 more

Abstract readMeta-Analysis
In one paragraph

Synthesis in Experimental gerontology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.1field-weighted citation impact, top 50% 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

4 citing papers in PubMed, 4 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. 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

11 authors at 7 institutions in 1 country.

Carlos A Vaz FragosoYale School of Medicine, Department of Medicine, New Haven, CT, United States of America; Veterans Affairs Connecticut Healthcare System, Department of Medicine, West Haven, CT, United States of America. Electronic address: carlos.fragoso@yale.edu.
Todd M ManiniUniversity of Florida, Department of Aging and Geriatric Research, Gainesville, FL, United States of America.
John A KairallaUniversity of Florida, Department of Biostatistics, Gainesville, FL, United States of America.
Thomas W BufordUniversity of Alabama at Birmingham, Department of Medicine, Birmingham, AL, United States of America.
Fang-Chi HsuWake Forest School of Medicine, Department of Biostatistical Sciences, Winston-Salem, NC, United States of America.
Thomas M GillYale School of Medicine, Department of Medicine, New Haven, CT, United States of America.
Stephen B KritchevskyWake Forest School of Medicine, Sticht Center for Healthy Aging and Alzheimer's Prevention, Winston-Salem, NC, United States of America.
Mary M McDermottNorthwestern University, Feinberg School of Medicine, Chicago, IL, United States of America.
Jason L SandersMassachusetts General Hospital, Department of Medicine, Boston, MA, United States of America.
Steven R CummingsCalifornia Pacific Medical Center Research Institute, San Francisco, CA, United States of America.
Gregory J TranahCalifornia Pacific Medical Center Research Institute, San Francisco, CA, United States of America.
California Pacific Medical Center · USUniversity of Florida · USWake Forest University · USYale University · USMassachusetts General Hospital · USNorthwestern University · USUniversity of Alabama at Birmingham · US

Funding

UF FIELD CENTERU01AG022376 · NIA · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI PAHOR, MARCO · 2003 to 2015
$83.3M
Yale Study Support Suite (YES3): Dashboard and Web Portal Software Supporting Research Workflow through integrated, customizable REDCap External ModulesP30AG021342 · NIA · YALE UNIVERSITY · PI Lauren Ferrante · 2002 to 2026
$37.9M
University of Florida Older Americans Independence Center (OAIC)P30AG028740 · NIA · UNIVERSITY OF FLORIDA · PI Stephen D Anton · 2007 to 2026
$22.8M
Peripheral Nerve Function Decline in an Aged CohortR01AG028050 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI STROTMEYER, ELSA S. · 2007 to 2015
$3.5M
End of Life in the Very OldR01NR012459 · NINR · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI ALBERT, STEVEN M, LUNNEY, JUNE R · 2011 to 2015
$2.7M
MtDNA variant modifiers of cardiopulmonary responsiveness to physical activityR01HL121023 · NHLBI · UNIVERSITY OF FLORIDA · PI FRAGOSO, CARLOS A. VAZ, MANINI, TODD · 2014 to 2017
$1.3M
DYNAMICS OF HEALTH .AGING . AND BODY COMPOSITION /Pittsburgh/-260962101N01AG062101 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · 1996 to 2004
$996k
DYNAMICS OF HEALTH . AGING . AND BODY COMPOSITION /Memphis/-26062103N01AG062103 · NIA · UNIVERSITY OF TENNESSEE HEALTH SCI CTR · 1996 to 2004
$793k
ACADEMIC LEADERSHIP AWARD IN DISABILITY AND DISABLING DISORDERSK07AG043587 · NIA · YALE UNIVERSITY · PI GILL, THOMAS MICHAEL · 2013 to 2017
$645k
Mitochondrial DNA Variation in Human Energy Expenditure and Metabolic RateR03AG032498 · NIA · CALIFORNIA PACIFIC MED CTR RES INSTITUTE · PI TRANAH, GREGORY J. · 2009 to 2010
$121k
HEALTH ABC--COORDINATING UNIT /California/-260062106N01AG062106 · NIA · UNIVERSITY OF CALIFORNIA SAN FRANCISCO · 1996 to 2004
$109k
NHLBI NIH HHS R01 HL121023NIA NIH HHS K07 AG043587NIA NIH HHS N01 AG062101NIA NIH HHS N01 AG062103NIA NIH HHS N01 AG062106NIA NIH HHS P30 AG021342NIA NIH HHS P30 AG028740NIA NIH HHS R01 AG028050NIA NIH HHS R03 AG032498NIA NIH HHS U01 AG022376NINR NIH HHS R01 NR012459
6 · The paper itself

Abstract

backgroundWe provide the first examination of mitochondrial DNA (mtDNA) variants and pulmonary function in older persons.

methodsCross-sectional associations between mtDNA variants and pulmonary function were evaluated as a combined p-values meta-analysis, using data from two independent cohorts of older persons. The latter included white and black participants, aged ≥70 years, from the Lifestyle Interventions and Independence for Elders study (LIFE) (N = 1247) and the Health, Aging and Body Composition study (Health ABC) (N = 731), respectively. Pulmonary function included the forced expiratory volume in one-second as a Z-score (FEV1z) and the maximal inspiratory pressure (MIP) in cm of water.

resultsIn black participants, significant associations were found between mtDNA variants and MIP: m.7146A > G, COI (p = 3E-5); m.7389 T > C, COI (p = 2E-4); m.15301G > A, CYB (p = 9E-5); m.16265A > G, HV1 (p = 9E-5); meta-analytical p-values <0.0002. Importantly, these mtDNA variants were unique to black participants and were not present in white participants. Moreover, in black participants, aggregate genetic effects on MIP were observed across mutations in oxidative phosphorylation complex IV (p = 0.004), complex V (p = 0.0007), and hypervariable (p = 0.003) regions. The individual and aggregate variant results were significant after adjustment for multiple comparisons. Otherwise, no significant associations were detected for MIP in whites or for FEV1z in whites or blacks.

conclusionsWe have shown that mtDNA variants of African origin are cross-sectionally associated with MIP, a measure of respiratory muscle strength. Thus, our results establish the rationale for longitudinal studies to evaluate whether mtDNA variants of African origin identify those at risk of subsequently developing a respiratory muscle impairment (lower MIP values).

Indexed as

Muscle StrengthAgedAged, 80 and overBlack or African AmericanCross-Sectional StudiesDNA, MitochondrialFemaleHumansInhalationMaleMutationOxidative PhosphorylationPressureRandomized Controlled Trials as TopicRespiratory Function TestsRespiratory MusclesDNA, MitochondrialAgingMitochondrial DNAPulmonary function

Identifiers

PMID30508565
PMCPMC6356103
OpenAlexW2902664795

What OpenQuestion holds

Textmetadata
LicenceTDM
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.