Evidence map›Paper›PMID 29920066›Full record

ArticleAnalytical chemistry2018

High-Performance Chemical Isotope Labeling Liquid Chromatography Mass Spectrometry for Exosome Metabolomics.

Xian Luo, Mingrui An, Kyle C Cuneo, David M Lubman, Liang Li

Open access · greenAbstract read
In one paragraph

Article in Analytical chemistry, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed
4.5field-weighted citation impact, top 4% 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

41 citing papers in PubMed, 99 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Metabolic profiling of amniotic fluid by differentialMetabolomics : Official journal of the Metabolomic Society · 2025
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Metabolic features of tumor-derived extracellular vesicles: challenges and opportunities.Extracellular vesicles and circulating nucleic acids · 2024
    Review
  14. Exosomes: a promising avenue for cancer diagnosis beyond treatment.Frontiers in cell and developmental biology · 2024
    Review
  15. Review
  16. Size-exclusion chromatography for the characterization of urinary extracellular vesicles.Journal of chromatography. B, Analytical technologies in the biomedical and life sciences · 2023
    Article
  17. Modification of Extracellular Vesicle Surfaces: An Approach for Targeted Drug Delivery.BioDrugs : clinical immunotherapeutics, biopharmaceuticals and gene therapy · 2023
    Review
  18. Review
  19. Review
  20. 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

5 authors at 2 institutions in 2 countries.

Xian LuoDepartment of Chemistry , University of Alberta , Edmonton , Alberta T6G 2G2 , Canada.
Mingrui AnDepartment of Surgery , University of Michigan , Ann Arbor , Michigan 48109 , United States.
Kyle C CuneoDepartment of Surgery , University of Michigan , Ann Arbor , Michigan 48109 , United States.
David M LubmanDepartment of Surgery , University of Michigan , Ann Arbor , Michigan 48109 , United States.ORCID 0000-0001-7731-0232
Liang LiDepartment of Chemistry , University of Alberta , Edmonton , Alberta T6G 2G2 , Canada.ORCID 0000-0002-9347-2108
University of Michigan · USUniversity of Alberta · CA

Funding

Microsequencing in an Ion Trap/reTOF DeviceR01GM049500 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI LUBMAN, DAVID M. · 1994 to 2016
$3.0M
Therapeutic Monitoring in Pancreatic Cancer Using an Exosome Based Mass Spec AssayR21CA189775 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI LUBMAN, DAVID M. · 2015 to 2016
$371k
NCI NIH HHS R21 CA189775NIGMS NIH HHS R01 GM049500
6 · The paper itself

Abstract

Circulating exosomes in bodily fluids such as blood are being actively studied as a rich source of chemical biomarkers for cancer diagnosis and monitoring. Although nucleic acid analysis is a primary tool for the discovery of circulating biomarkers in exosomes, metabolomics holds the potential of expanding the chemical diversity of biomarkers that may be easy and rapid to detect. However, only trace amounts of exosomes can be isolated from a small volume of patient blood, and thus a very sensitive technique is required to analyze the metabolome of exosomes. In this report, we present a workflow that involves multiple cycles of ultracentrifugation for exosome isolation using a starting material of 2 mL of human serum, freeze-thaw-cycles in 50% methanol/water for exosome lysis and metabolite extraction, differential chemical isotope labeling (CIL) of metabolites for enhancing liquid chromatography (LC) separation and improving mass spectrometry (MS) detection, and nanoflow LC-MS (nLC-MS) with captivespray for analysis. As a proof-of-principle, we used dansylation labeling to analyze the amine- and phenol-submetabolomes in two sets of exosome samples isolated from the blood samples of five pancreatic cancer patients before and after chemotherapy treatment. The average number of peak pairs or metabolites detected was 1964 ± 60 per sample for a total of 2446 peak pairs ( n = 10) in the first set and 1948 ± 117 per sample for a total of 2511 peak pairs ( n = 10) in the second set. There were 101 and 94 metabolites positively identified in the first and second set, respectively, and 1580 and 1590 peak pairs with accurate masses matching those of metabolites in the MyCompoundID metabolome database. Analyzing the mixtures of

Indexed as

Carbon IsotopesChromatography, High Pressure LiquidExosomesHumansIsotope LabelingMass SpectrometryMetabolomeMetabolomicsSerumUltracentrifugationCarbon Isotopes

Identifiers

PMID29920066
PMCPMC6058730
OpenAlexW2808817086

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.