Evidence map›Paper›PMID 23826926›Full record

ArticleClinical proteomics2013

Technology platform development for targeted plasma metabolites in human heart failure.

Cy X'avia Chan, Anjum A Khan, Jh Howard Choi, Cm Dominic Ng, Martin Cadeiras, Mario Deng, Peipei Ping

Abstract read
In one paragraph

Article in Clinical proteomics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–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

8 citing papers in PubMed.

  1. Article
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  3. Review
  4. Heliyon · 2023
    Article
  5. Article
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  8. 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

7 authors.

Cy X'avia ChanNHLBI Proteomics Center at UCLA, Departments of Physiology and Medicine, David Geffen School of Medicine, University of California at Los Angeles, Los Angeles, CA 90095, USA.
Anjum A KhanThermo Fisher Scientific, San Jose, CA 95134, USA.
Jh Howard ChoiNHLBI Proteomics Center at UCLA, Departments of Physiology and Medicine, David Geffen School of Medicine, University of California at Los Angeles, Los Angeles, CA 90095, USA.
Cm Dominic NgNHLBI Proteomics Center at UCLA, Departments of Physiology and Medicine, David Geffen School of Medicine, University of California at Los Angeles, Los Angeles, CA 90095, USA.
Martin CadeirasRonald Reagan UCLA Medical Center, UCLA Medical Center, Los Angeles, CA 90095, USA.
Mario DengRonald Reagan UCLA Medical Center, UCLA Medical Center, Los Angeles, CA 90095, USA.
Peipei PingNHLBI Proteomics Center at UCLA, Departments of Physiology and Medicine, David Geffen School of Medicine, University of California at Los Angeles, Los Angeles, CA 90095, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHeart failure is a multifactorial disease associated with staggeringly high morbidity and motility. Recently, alterations of multiple metabolites have been implicated in heart failure; however, the lack of an effective technology platform to assess these metabolites has limited our understanding on how they contribute to this disease phenotype. We have successfully developed a new workflow combining specific sample preparation with tandem mass spectrometry that enables us to extract most of the targeted metabolites. 19 metabolites were chosen ascribing to their biological relevance to heart failure, including extracellular matrix remodeling, inflammation, insulin resistance, renal dysfunction, and cardioprotection against ischemic injury.

resultsIn this report, we systematically engineered, optimized and refined a protocol applicable to human plasma samples; this study contributes to the methodology development with respect to deproteinization, incubation, reconstitution, and detection with mass spectrometry. The deproteinization step was optimized with 20% methanol/ethanol at a plasma:solvent ratio of 1:3. Subsequently, an incubation step was implemented which remarkably enhanced the metabolite signals and the number of metabolite peaks detected by mass spectrometry in both positive and negative modes. With respect to the step of reconstitution, 0.1% formic acid was designated as the reconstitution solvent vs. 6.5 mM ammonium bicarbonate, based on the comparable number of metabolite peaks detected in both solvents, and yet the signal detected in the former was higher. By adapting this finalized protocol, we were able to retrieve 13 out of 19 targeted metabolites from human plasma.

conclusionsWe have successfully devised a simple albeit effective workflow for the targeted plasma metabolites relevant to human heart failure. This will be employed in tandem with high throughput liquid chromatography mass spectrometry platform to validate and characterize these potential metabolic biomarkers for diagnostic and therapeutic development of heart failure patients.

Indexed as

Heart diseaseSample preparationTargeted human plasma metabolomics

Identifiers

PMID23826926
PMCPMC3708771

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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.