Evidence map›Paper›PMID 21647091›Full record

ReviewLaboratory investigation; a journal of technical methods and pathology2011

The mitochondrial paradigm for cardiovascular disease susceptibility and cellular function: a complementary concept to Mendelian genetics.

David M Krzywanski, Douglas R Moellering, Jessica L Fetterman, Kimberly J Dunham-Snary, Melissa J Sammy, Scott W Ballinger

Abstract readReview
In one paragraph

Review in Laboratory investigation; a journal of technical methods and pathology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed, 1 pooled it
–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.

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

37 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Mito-Mendelian interactions alter in vivo glucose metabolism and insulin sensitivity in healthy mice.American journal of physiology. Endocrinology and metabolism · 2021
    Article
  9. Review
  10. Review
  11. Review
  12. Review
  13. Review
  14. Review
  15. Review
  16. Article
  17. UPRCell research · 2018
    Review
  18. Article
  19. Mitochondrial DNA mutations and cardiovascular disease.Current opinion in cardiology · 2017
    Article
  20. Mitochondrial Nucleoid: Shield and Switch of the Mitochondrial Genome.Oxidative medicine and cellular longevity · 2017
    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

6 authors.

David M KrzywanskiDivision of Molecular and Cellular Pathology, Department of Pathology, The University of Alabama at Birmingham, Birmingham, AL, USA.
Douglas R Moellering
Jessica L Fetterman
Kimberly J Dunham-Snary
Melissa J Sammy
Scott W Ballinger

Funding

University of Alabama at Birmingham's Diabetes Research CenterP30DK079626 · NIDDK · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI Stuart J Frank · 2013 to 2026
$19.5M
MECHANISMS OF HYPERTENSION AND CARDIOVASCULAR DISEASEST32HL007457 · NHLBI · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI Martin E Young · 1985 to 2026
$8.6M
UAB Diabetes Research and Training CenterP60DK079626 · NIDDK · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI GARVEY, W TIMOTHY · 2008 to 2012
$8.4M
Training Program in Cardiovascular PathophysiologyT32HL007918 · NHLBI · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI BALLINGER, SCOTT W. · 1999 to 2018
$3.6M
Gestational cigarette smoke exposure increases adult CVDR01HL077419 · NHLBI · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI BALLINGER, SCOTT W. · 2004 to 2008
$1.7M
Mitochondrial associated CVD susceptibility in humans and miceR01HL094518 · NHLBI · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI BALLINGER, SCOTT W. · 2009 to 2010
$837k
Howard Hughes Medical Institute 56005705NHLBI NIH HHS HL77419NHLBI NIH HHS HL94518NHLBI NIH HHS R01 HL077419NHLBI NIH HHS R01 HL094518NHLBI NIH HHS T32 HL007457NHLBI NIH HHS T32 HL007918NIDDK NIH HHS P30 DK079626NIDDK NIH HHS P60 DK079626NIDDK NIH HHS P60 DK79626
6 · The paper itself

Abstract

While there is general agreement that cardiovascular disease (CVD) development is influenced by a combination of genetic, environmental, and behavioral contributors, the actual mechanistic basis of how these factors initiate or promote CVD development in some individuals while others with identical risk profiles do not, is not clearly understood. This review considers the potential role for mitochondrial genetics and function in determining CVD susceptibility from the standpoint that the original features that molded cellular function were based upon mitochondrial-nuclear relationships established millions of years ago and were likely refined during prehistoric environmental selection events that today, are largely absent. Consequently, contemporary risk factors that influence our susceptibility to a variety of age-related diseases, including CVD were probably not part of the dynamics that defined the processes of mitochondrial-nuclear interaction, and thus, cell function. In this regard, the selective conditions that contributed to cellular functionality and evolution should be given more consideration when interpreting and designing experimental data and strategies. Finally, future studies that probe beyond epidemiologic associations are required. These studies will serve as the initial steps for addressing the provocative concept that contemporary human disease susceptibility is the result of selection events for mitochondrial function that increased chances for prehistoric human survival and reproductive success.

Indexed as

Biological EvolutionCardiovascular DiseasesDietDisease SusceptibilityDNA, MitochondrialHumansMitochondriaOxidation-ReductionSelection, GeneticDNA, Mitochondrial

Identifiers

PMID21647091
PMCPMC3654682

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.