Evidence map›Paper›PMID 36818345›Full record

ArticleFrontiers in cardiovascular medicine2023

Cardiac copper content and its relationship with heart physiology: Insights based on quantitative genetic and functional analyses using BXD family mice.

Akhilesh Kumar Bajpai, Qingqing Gu, Buyan-Ochir Orgil, Fuyi Xu, Carolina Torres-Rojas, Wenyuan Zhao, Chen Chen, Athena Starlard-Davenport, Byron Jones, Djamel Lebeche and 4 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in cardiovascular medicine, 2023. 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
1.5field-weighted citation impact, top 21% 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, 7 citations in OpenAlex.

  1. Review
  2. The Yin and Yang of copper in cardiovascular health and disease.Molecular and cellular biochemistry · 2026
    Review
  3. Review
  4. Review
  5. Cuproptosis and Cu: a new paradigm in cellular death and their role in non-cancerous diseases.Apoptosis : an international journal on programmed cell death · 2024
    Review
  6. Article
  7. 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

14 authors at 3 institutions in 2 countries.

Akhilesh Kumar BajpaiDepartment of Genetics, Genomics and Informatics, The University of Tennessee Health Science Center, Memphis, TN, United States.
Qingqing GuDepartment of Genetics, Genomics and Informatics, The University of Tennessee Health Science Center, Memphis, TN, United States.
Buyan-Ochir OrgilDepartment of Pediatrics, The University of Tennessee Health Science Center, Memphis, TN, United States.
Fuyi XuDepartment of Genetics, Genomics and Informatics, The University of Tennessee Health Science Center, Memphis, TN, United States.
Carolina Torres-RojasDepartment of Genetics, Genomics and Informatics, The University of Tennessee Health Science Center, Memphis, TN, United States.
Wenyuan ZhaoDepartment of Genetics, Genomics and Informatics, The University of Tennessee Health Science Center, Memphis, TN, United States.
Chen ChenDepartment of Genetics, Genomics and Informatics, The University of Tennessee Health Science Center, Memphis, TN, United States.
Athena Starlard-DavenportDepartment of Genetics, Genomics and Informatics, The University of Tennessee Health Science Center, Memphis, TN, United States.
Byron JonesDepartment of Genetics, Genomics and Informatics, The University of Tennessee Health Science Center, Memphis, TN, United States.
Djamel LebecheDepartment of Physiology, College of Medicine, The University of Tennessee Health Science Center, Memphis, TN, United States.
Jeffrey A TowbinDepartment of Pediatrics, The University of Tennessee Health Science Center, Memphis, TN, United States.
Enkhsaikhan PurevjavDepartment of Pediatrics, The University of Tennessee Health Science Center, Memphis, TN, United States.
Lu LuDepartment of Genetics, Genomics and Informatics, The University of Tennessee Health Science Center, Memphis, TN, United States.
Wenjing ZhangDepartment of Genetics, Genomics and Informatics, The University of Tennessee Health Science Center, Memphis, TN, United States.
University of Tennessee Health Science Center · USLe Bonheur Children's Hospital · USBinzhou Medical University · CN

Funding

Discovery of modifier genes in cardiomyopathyR01HL151438 · NHLBI · UNIVERSITY OF TENNESSEE HEALTH SCI CTR · PI LU, LU, PUREVJAV, ENKHSAIKHAN · 2020 to 2023
$2.5M
NHLBI NIH HHS R01 HL151438
6 · The paper itself

Abstract

Background: Copper (Cu) is essential for the functioning of various enzymes involved in important cellular and physiological processes. Although critical for normal cardiac function, excessive accumulation, or deficiency of Cu in the myocardium is detrimental to the heart. Fluctuations in cardiac Cu content have been shown to cause cardiac pathologies and imbalance in systemic Cu metabolism. However, the genetic basis underlying cardiac Cu levels and their effects on heart traits remain to be understood. Representing the largest murine genetic reference population, BXD strains have been widely used to explore genotype-phenotype associations and identify quantitative trait loci (QTL) and candidate genes. Methods: Cardiac Cu concentration and heart function in BXD strains were measured, followed by QTL mapping. The candidate genes modulating Cu homeostasis in mice hearts were identified using a multi-criteria scoring/filtering approach. Results: Significant correlations were identified between cardiac Cu concentration and left ventricular (LV) internal diameter and volumes at end-diastole and end-systole, demonstrating that the BXDs with higher cardiac Cu levels have larger LV chamber. Conversely, cardiac Cu levels negatively correlated with LV posterior wall thickness, suggesting that lower Cu concentration in the heart is associated with LV hypertrophy. Genetic mapping identified six QTLs containing a total of 217 genes, which were further narrowed down to 21 genes that showed a significant association with cardiac Cu content in mice. Among those, Conclusion: Cardiac Cu level is significantly correlated with heart chamber size and hypertrophy phenotypes in BXD mice, while being regulated by multiple genes in several QTLs.

Indexed as

BXDcardiac Cu homeostasiscardiomyopathygene expressiongenetic mappinghypertrophyquantitative trait locisystems genetics

Identifiers

PMID36818345
PMCPMC9931904
OpenAlexW4319040122

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.