Evidence map›Paper›PMID 33744605›Full record

ArticleJournal of chromatography. A2021

A systematic approach to development of analytical scale and microflow-based liquid chromatography coupled to mass spectrometry metabolomics methods to support drug discovery and development.

Sarah Geller, Harvey Lieberman, Alla Kloss, Alexander R Ivanov

Open access · greenAbstract read
In one paragraph

Article in Journal of chromatography. A, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
0.5field-weighted citation impact, top 39% 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, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. 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

4 authors at 2 institutions in 2 countries.

Sarah GellerSanofi, Waltham, MA 02451, United States.
Harvey LiebermanSanofi, Waltham, MA 02451, United States.
Alla KlossSanofi, Waltham, MA 02451, United States.
Alexander R IvanovBarnett Institute of Chemical and Biological Analysis, Department of Chemistry and Chemical Biology, Northeastern University, Boston, MA 02115, United States. Electronic address: a.ivanov@northeastern.edu.
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
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

As the reliance on metabolic biomarkers within drug discovery and development increases, there is also an increased demand for global metabolomics methods to provide broad metabolome coverage and sensitivity towards differences in metabolite expression and reproducibility. A systematic approach is necessary for the development, and evaluation, of metabolomics methods using either conventional techniques or when establishing new methods that allow for additional gains in sensitivity and a reduction in requirements for amounts of a biological sample, such as those seen with methods based on microseparations. We developed a novel standard mixture and used a systematic approach for the development and optimization of optimal, ion-pair free, liquid chromatography-mass spectrometry (LC-MS) global profiling methods. These methods were scaled-down to microflow-based LC separations and compared with analytical flow ion-pairing reagent containing methods. Average peak volume improvements of 7- and 22-fold were observed in the positive and negative ionization mode microflow methods as compared to the ion-pairing reagent analytical flow methods, respectively. The linear range of the newly developed microflow methods showed up to a 10-fold increase in the lower limit of detection in the negative ionization mode. The developed microflow LC-MS methods were further evaluated using wild-type mouse plasma where up to a 9-fold increase in peak volume was observed.

Indexed as

Drug DevelopmentDrug DiscoveryMetabolomicsRheologyAnimalsChromatography, LiquidHumansMass SpectrometryMetabolomeMiceReference StandardsReproducibility of ResultsIncreased sensitivity in metabolomicsLC-MSMetabolic profilingMetabolomicsMicrobore columnsMicroflow LC

Identifiers

PMID33744605
PMCPMC8035295
OpenAlexW3135336154

What OpenQuestion holds

Textmetadata
LicenceTDM
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.