Evidence map›Paper›PMID 25581909›Full record

ArticleAnesthesiology2015

Using next-generation RNA sequencing to examine ischemic changes induced by cold blood cardioplegia on the human left ventricular myocardium transcriptome.

Jochen D Muehlschlegel, Danos C Christodoulou, David McKean, Joshua Gorham, Erica Mazaika, Mahyar Heydarpour, Grace Lee, Steven R DePalma, Tjorvi E Perry, Amanda A Fox and 5 more

Open access · bronzeAbstract read
In one paragraph

Article in Anesthesiology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
3.8field-weighted citation impact, top 7% 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

21 citing papers in PubMed, 36 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

15 authors at 4 institutions in 1 country.

Jochen D MuehlschlegelFrom the Brigham and Women's Hospital, Department of Anesthesiology, Perioperative and Pain Medicine, Harvard Medical School, Boston, Massachusetts (J.D.M., M.H., S.K.S., S.C.B.); Department of Genetics, Harvard Medical School, Boston, Massachusetts (D.C.C., D.M., J.G., E.M., S.R.D., J.G.S.); Harvard Medical School, Boston, Massachusetts (G.L.); Northwest Anesthesia, Abbott Northwestern Hospital and Minneapolis Heart Institute, Minneapolis, Minnesota (T.E.P.); Department of Anesthesiology, University of Texas Southwestern Medical Center, Dallas, Texas (A.A.F.); Howard Hughes Medical Institute, Division of Cardiovascular Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts (C.E.S.); and Brigham and Women's Hospital, Division of Cardiac Surgery, Department of Surgery, Harvard Medical School, Boston, Massachusetts (S.F.A.).
Danos C Christodoulou
David McKean
Joshua Gorham
Erica Mazaika
Mahyar Heydarpour
Grace Lee
Steven R DePalma
Tjorvi E Perry
Amanda A Fox
Stanton K Shernan
Christine E Seidman
Sary F Aranki
Jon G Seidman
Simon C Body
Zero to Three · USHarvard University · USAbbott Northwestern Hospital · USBrigham and Women's Hospital · US

Funding

Molecular Signaling in Hypertrophic CardiomyopathyR01HL084553 · NHLBI · HARVARD MEDICAL SCHOOL · PI SEIDMAN, JONATHAN G · 2007 to 2022
$5.9M
Genetics of gene expression in human left ventricular myocardiumR01HL118266 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI MUEHLSCHLEGEL, JOCHEN DANIEL · 2013 to 2017
$2.3M
Genetic Etiology of Bicuspid Aortic Valve DiseaseR01HL114823 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI BODY, SIMON C · 2012 to 2016
$2.1M
NHLBI NIH HHS R01 HL084553NHLBI NIH HHS R01 HL114823NHLBI NIH HHS R01 HL118266NHLBI NIH HHS R01HL118266
6 · The paper itself

Abstract

backgroundThe exact mechanisms that underlie the pathological processes of myocardial ischemia in humans are unclear. Cardiopulmonary bypass with cardioplegic arrest allows the authors to examine the whole transcriptional profile of human left ventricular myocardium at baseline and after exposure to cold cardioplegia-induced ischemia as a human ischemia model.

methodsThe authors obtained biopsies from 45 patients undergoing aortic valve replacement surgery at baseline and after an average of 79 min of cold cardioplegic arrest. Samples were RNA sequenced and analyzed with the Partek Genomics Suite (Partek Inc., St. Louis, MO) for differential expression. Ingenuity Pathway Analysis (Ingenuity Systems, Redwood City, CA) and Biobase ExPlain (Biobase GmbH, Wolfenbuettel, Germany) systems were used for functional and pathway analyses.

resultsOf the 4,098 genes with a mean expression value greater than 5, 90% were down-regulated and 9.1% were up-regulated. Of those, 1,241 were significantly differentially expressed. Gene ontology analysis revealed significant down-regulation in immune inflammatory response and complement activation categories and highly consistent was the down-regulation of intelectin 1, proteoglycan, and secretory leukocyte peptidase inhibitor. Up-regulated genes of interest were FBJ murine osteosarcoma viral oncogene homolog and the hemoglobin genes hemoglobin α1 (HBA1) and hemoglobin β. In addition, analysis of transcription factor-binding sites revealed interesting targets in factors regulating reactive oxygen species production, apoptosis, immunity, cytokine production, and inflammatory response.

conclusionsThe authors have shown that the human left ventricle exhibits significant changes in gene expression in response to cold cardioplegia-induced ischemia during cardiopulmonary bypass, which provides great insight into the pathophysiology of ventricular ischemia, and thus, may help guide efforts to reduce myocardial damage during surgery.

Indexed as

Heart VentriclesMyocardiumAgedAged, 80 and overCold TemperatureFemaleHeart Arrest, InducedHumansMaleMyocardial IschemiaSequence Analysis, RNATranscriptome

Identifiers

PMID25581909
PMCPMC4333028
OpenAlexW2041712389

What OpenQuestion holds

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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.