Evidence map›Paper›PMID 26010607›Full record

ArticlePloS one2015

Characterization of regional left ventricular function in nonhuman primates using magnetic resonance imaging biomarkers: a test-retest repeatability and inter-subject variability study.

Smita Sampath, Michael Klimas, Dai Feng, Richard Baumgartner, Elaine Manigbas, Ai-Leng Liang, Jeffrey L Evelhoch, Chih-Liang Chin

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2015. 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
0.2field-weighted citation impact, top 42% 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, 6 citations in OpenAlex.

  1. Article
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  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

8 authors at 4 institutions in 2 countries.

Smita SampathImaging, Merck Research Laboratories, Merck Sharp & Dohme, Singapore, Singapore.
Michael KlimasImaging, Merck Research Laboratories, Merck & Co. Inc., West Point, Pennsylvania, United States of America.
Dai FengBiometric Research, Merck Research Laboratories, Biostatistics and Research Decision Sciences, Merck & Co. Inc., Rahway, New Jersey, United States of America.
Richard BaumgartnerBiometric Research, Merck Research Laboratories, Biostatistics and Research Decision Sciences, Merck & Co. Inc., Rahway, New Jersey, United States of America.
Elaine ManigbasMRI Department, Maccine Pte. Ltd., Singapore, Singapore.
Ai-Leng LiangImaging, Merck Research Laboratories, Merck Sharp & Dohme, Singapore, Singapore.
Jeffrey L EvelhochImaging, Merck Research Laboratories, Merck & Co. Inc., West Point, Pennsylvania, United States of America.
Chih-Liang ChinImaging, Merck Research Laboratories, Merck Sharp & Dohme, Singapore, Singapore.
Merck (Singapore) · SGUnited States Military Academy · USDecision Sciences (United States) · USMerck & Co., Inc., Rahway, NJ, USA (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pre-clinical animal models are important to study the fundamental biological and functional mechanisms involved in the longitudinal evolution of heart failure (HF). Particularly, large animal models, like nonhuman primates (NHPs), that possess greater physiological, biochemical, and phylogenetic similarity to humans are gaining interest. To assess the translatability of these models into human diseases, imaging biomarkers play a significant role in non-invasive phenotyping, prediction of downstream remodeling, and evaluation of novel experimental therapeutics. This paper sheds insight into NHP cardiac function through the quantification of magnetic resonance (MR) imaging biomarkers that comprehensively characterize the spatiotemporal dynamics of left ventricular (LV) systolic pumping and LV diastolic relaxation. MR tagging and phase contrast (PC) imaging were used to quantify NHP cardiac strain and flow. Temporal inter-relationships between rotational mechanics, myocardial strain and LV chamber flow are presented, and functional biomarkers are evaluated through test-retest repeatability and inter subject variability analyses. The temporal trends observed in strain and flow was similar to published data in humans. Our results indicate a dominant dimension based pumping during early systole, followed by a torsion dominant pumping action during late systole. Early diastole is characterized by close to 65% of untwist, the remainder of which likely contributes to efficient filling during atrial kick. Our data reveal that moderate to good intra-subject repeatability was observed for peak strain, strain-rates, E/circumferential strain-rate (CSR) ratio, E/longitudinal strain-rate (LSR) ratio, and deceleration time. The inter-subject variability was high for strain dyssynchrony, diastolic strain-rates, peak torsion and peak untwist rate. We have successfully characterized cardiac function in NHPs using MR imaging. Peak strain, average systolic strain-rate, diastolic E/CSR and E/LSR ratios, and deceleration time were identified as robust biomarkers that could potentially be applied to future pre-clinical drug studies.

Indexed as

BiomarkersMagnetic Resonance ImagingModels, AnimalAnimalsDiastoleFemaleMacaca fascicularisReproducibility of ResultsSystoleVentricular Function, LeftBiomarkers

Identifiers

PMID26010607
PMCPMC4444127
OpenAlexW1529989533

What OpenQuestion holds

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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.