Evidence map›Paper›PMID 24146665›Full record

ReviewFrontiers in microbiology2013

Protein-linked glycans in periodontal bacteria: prevalence and role at the immune interface.

Rajendra P Settem, Kiyonobu Honma, Graham P Stafford, Ashu Sharma

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in microbiology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.3field-weighted citation impact, top 22% 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

8 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Article
  3. Persistence ofCurrent oral health reports · 2020
    Article
  4. Review
  5. Article
  6. Article
  7. Review
  8. 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 at 2 institutions in 2 countries.

Rajendra P SettemDepartment of Oral Biology, School of Dental Medicine, University at Buffalo, State University of New York Buffalo, NY, USA.
Kiyonobu Honma
Graham P Stafford
Ashu Sharma
University at Buffalo, State University of New York · USUniversity of Sheffield · GB

Funding

T. forsythia TLR2 ligands and surface glycans coordinate periodontal inflammationR01DE014749 · NIDCR · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI SHARMA, ASHU · 2003 to 2018
$4.9M
NIDCR NIH HHS R01 DE014749The Dunhill Medical Trust R185/0211
6 · The paper itself

Abstract

Protein modification with complex glycans is increasingly being recognized in many pathogenic and non-pathogenic bacteria, and is now thought to be central to the successful life-style of those species in their respective hosts. This review aims to convey current knowledge on the extent of protein glycosylation in periodontal pathogenic bacteria and its role in the modulation of the host immune responses. The available data show that surface glycans of periodontal bacteria orchestrate dendritic cell cytokine responses to drive T cell immunity in ways that facilitate bacterial persistence in the host and induce periodontal inflammation. In addition, surface glycans may help certain periodontal bacteria protect against serum complement attack or help them escape immune detection through glycomimicry. In this review we will focus mainly on the generalized surface-layer protein glycosylation system of the periodontal pathogen Tannerella forsythia in shaping innate and adaptive host immunity in the context of periodontal disease. In addition, we will also review the current state of knowledge of surface protein glycosylation and its potential for immune modulation in other periodontal pathogens.

Indexed as

immune responseperiodontal bacteriaprotein glycosylation

Identifiers

PMID24146665
PMCPMC3797959
OpenAlexW1976849001

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.