Evidence map›Paper›PMID 34843255›Full record

ArticleJournal of proteome research2022

Comparison of Microflow and Analytical Flow Liquid Chromatography Coupled to Mass Spectrometry Global Metabolomics Methods Using a Urea Cycle Disorder Mouse Model.

Sarah Geller, Harvey Lieberman, Adam J Belanger, Nelson S Yew, Alla Kloss, Alexander R Ivanov

Open access · greenAbstract read
In one paragraph

Article in Journal of proteome research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.6field-weighted citation impact, top 32% 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

5 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
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  4. Review
  5. 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 at 2 institutions in 1 country.

Sarah GellerSanofi, Waltham, Massachusetts 02451, United States.ORCID 0000-0003-2712-0080
Harvey LiebermanSanofi, Waltham, Massachusetts 02451, United States.
Adam J BelangerSanofi, Waltham, Massachusetts 02451, United States.
Nelson S YewSanofi, Waltham, Massachusetts 02451, United States.
Alla KlossSanofi, Waltham, Massachusetts 02451, United States.
Alexander R IvanovBarnett Institute of Chemical and Biological Analysis, Department of Chemistry and Chemical Biology, Northeastern University, Boston, Massachusetts 02115, United States.ORCID 0000-0002-4691-8488
Sanofi (United States) · USNortheastern University · US

Funding

Effect of methodological and biological variability on molecular profiling of extracellular vesicles in cancer detectionR01CA218500 · NCI · NORTHEASTERN UNIVERSITY · PI GHIRAN, IONITA CALIN, IVANOV, ALEXANDER R. · 2018 to 2022
$4.0M
Robust ultra-high sensitivity proteomic technologies for limited samplesR35GM136421 · NIGMS · NORTHEASTERN UNIVERSITY · PI Alexander R. Ivanov · 2020 to 2026
$3.4M
Red Blood Cells shuttle beta amyloid between brain and heart: implications for the pathogenesis and the progression of Alzheimer's and CardiomyopathyR01HL156116 · NHLBI · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI DEL MONTE, FEDERICA, GHIRAN, IONITA CALIN · 2021 to 2024
$2.0M
Deep Proteomic Profiling of Rare CellsR01GM120272 · NIGMS · NORTHEASTERN UNIVERSITY · PI IVANOV, ALEXANDER R. · 2016 to 2019
$1.5M
NCI NIH HHS R01 CA218500NIGMS NIH HHS R01 GM120272NIGMS NIH HHS R35 GM136421
6 · The paper itself

Abstract

Microscale-based separations are increasingly being applied in the field of metabolomics for the analysis of small-molecule metabolites. These methods have the potential to provide improved sensitivity, less solvent waste, and reduced sample-size requirements. Ion-pair free microflow-based global metabolomics methods, which we recently reported, were further compared to analytical flow ion-pairing reagent containing methods using a sample set from a urea cycle disorder (UCD) mouse model. Mouse urine and brain homogenate samples representing healthy, diseased, and disease-treated animals were analyzed by both methods. Data processing was performed using univariate and multivariate techniques followed by analyte trend analysis. The microflow methods performed comparably to the analytical flow ion-pairing methods with the ability to separate the three sample groups when analyzed by partial least-squares analysis. The number of detected metabolic features present after each data processing step was similar between the microflow-based methods and the ion-pairing methods in the negative ionization mode. The observed analyte trend and coverage of known UCD biomarkers were the same for both evaluated approaches. The 12.5-fold reduction in sample injection volume required for the microflow-based separations highlights the potential of this method to support studies with sample-size limitations.

Indexed as

MetabolomicsUrea Cycle Disorders, InbornAnimalsChromatography, LiquidMass SpectrometryMiceSolventsSolventsLC-MSmetabolic profilingmetabolomicsmicrobore columnsmicroflow LC

Identifiers

PMID34843255
PMCPMC8742624
OpenAlexW3217043446

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Registered trials

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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.