Evidence map›Paper›PMID 26350327›Full record

ReviewMicrobiology spectrum2015

Host Sialic Acids: A Delicacy for the Pathogen with Discerning Taste.

Brandy L Haines-Menges, W Brian Whitaker, J B Lubin, E Fidelma Boyd

Abstract readReview
In one paragraph

Review in Microbiology spectrum, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers.

0numbers the graph read from it
0cells of the map it votes in
44citing 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

44 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Review
  12. Article
  13. Article
  14. Article
  15. Comparative Genome Analysis of 19Antibiotics (Basel, Switzerland) · 2022
    Article
  16. Article
  17. Review
  18. Article
  19. Review
  20. Article
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.

Brandy L Haines-MengesDepartment of Biological Sciences, University of Delaware, Newark, DE 19716, United States.
W Brian WhitakerDepartment of Biological Sciences, University of Delaware, Newark, DE 19716, United States.
J B LubinDepartment of Biological Sciences, University of Delaware, Newark, DE 19716, United States.
E Fidelma BoydDepartment of Biological Sciences, University of Delaware, Newark, DE 19716, United States.

Funding

CHEMISTRY-BIOLOGY INTERFACE PREDOCTORAL TRAININGT32GM008550 · NIGMS · UNIVERSITY OF DELAWARE · PI BAHNSON, BRIAN J · 1994 to 2018
$5.0M
NIGMS NIH HHS T32 GM008550
6 · The paper itself

Abstract

Sialic acids, or the more broad term nonulosonic acids, comprise a family of nine-carbon keto-sugars ubiquitous on mammalian mucous membranes as terminal modifications of mucin glycoproteins. Sialic acids have a limited distribution among bacteria, and the ability to catabolize sialic acids is mainly confined to pathogenic and commensal species. This ability to utilize sialic acid as a carbon source is correlated with bacterial virulence, especially, in the sialic acid rich environment of the oral cavity, respiratory, intestinal, and urogenital tracts. This chapter discusses the distribution of sialic acid catabolizers among the sequenced bacterial genomes and examines the studies that have linked sialic acid catabolism with increased in vivo fitness in a number of species using several animal models. This chapter presents the most recent findings in sialobiology with a focus on sialic acid catabolism, which demonstrates an important relationship between the catabolism of sialic acid and bacterial pathogenesis.

Indexed as

AnimalsBacteriaBacterial InfectionsHost-Pathogen InteractionsHumansSialic AcidsVirulenceSialic Acids

Identifiers

PMID26350327
PMCPMC6089508

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.