Evidence map›Paper›PMID 31777760›Full record

ArticleNature reviews. Chemistry2019

Exploiting metabolic glycoengineering to advance healthcare.

Christian Agatemor, Matthew J Buettner, Ryan Ariss, Keerthana Muthiah, Christopher T Saeui, Kevin J Yarema

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Nature reviews. Chemistry, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 75 papers.

0numbers the graph read from it
0cells of the map it votes in
75citing 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

75 citing papers in PubMed.

  1. Review
  2. Intracellular Delivery of Hydrophilic Glycans Using Superchaotropic Clusters.Angewandte Chemie (International ed. in English) · 2026
    Article
  3. Article
  4. Review
  5. Review
  6. Article
  7. Article
  8. Balancing inflammation and regeneration: immune cell dynamics in nerve repair: a comprehensive review.Inflammation research : official journal of the European Histamine Research Society ... [et al.] · 2026
    Review
  9. Article
  10. Review
  11. Article
  12. Review
  13. Review
  14. Review
  15. Article
  16. Review
  17. Article
  18. Article
  19. Article
  20. Article

15 more citing papers are in PubMed but not listed here.

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.

Christian AgatemorDepartment of Biomedical Engineering and the Translational Tissue Engineering Center (TTEC), The Johns Hopkins University, Baltimore, MD, USA.
Matthew J BuettnerDepartment of Biomedical Engineering and the Translational Tissue Engineering Center (TTEC), The Johns Hopkins University, Baltimore, MD, USA.
Ryan ArissDepartment of Biomedical Engineering and the Translational Tissue Engineering Center (TTEC), The Johns Hopkins University, Baltimore, MD, USA.
Keerthana MuthiahDepartment of Biomedical Engineering and the Translational Tissue Engineering Center (TTEC), The Johns Hopkins University, Baltimore, MD, USA.
Christopher T SaeuiDepartment of Biomedical Engineering and the Translational Tissue Engineering Center (TTEC), The Johns Hopkins University, Baltimore, MD, USA.
Kevin J YaremaDepartment of Biomedical Engineering and the Translational Tissue Engineering Center (TTEC), The Johns Hopkins University, Baltimore, MD, USA.ORCID 0000-0002-4279-1459

Funding

Probing the Connections between Monosaccharide Analogs, Sialic Acid Metabolism, aR01CA112314 · NCI · JOHNS HOPKINS UNIVERSITY · PI YAREMA, KEVIN J · 2005 to 2022
$4.5M
NCI NIH HHS R01 CA112314
6 · The paper itself

Abstract

Metabolic glycoengineering (MGE) is a technique for manipulating cellular metabolism to modulate glycosylation. MGE is used to increase the levels of natural glycans and, more importantly, to install non-natural monosaccharides into glycoconjugates. In this Review, we summarize the chemistry underlying MGE that has been developed over the past three decades and highlight several recent advances that have set the stage for clinical translation. In anticipation of near-term application to human healthcare, we describe emerging efforts to deploy MGE in diverse applications, ranging from the glycoengineering of biotherapeutic proteins and the diagnosis and treatment of complex diseases such as cancer to the development of new immunotherapies.

Identifiers

PMID31777760
PMCPMC6880190

What OpenQuestion holds

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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.