Evidence map›Paper›PMID 18781257›Full record

ReviewThe ocular surface2008

Toll-like receptors at the ocular surface.

Eric Pearlman, Angela Johnson, Gautam Adhikary, Yan Sun, Holly R Chinnery, Todd Fox, Mark Kester, Paul G McMenamin

Abstract readReview
In one paragraph

Review in The ocular surface, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
57citing papers in PubMed, 1 pooled it
3.8field-weighted citation impact, top 6% 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

57 citing papers in PubMed, 1 synthesis or guideline pooled it, 113 citations in OpenAlex.

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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

8 authors at 3 institutions in 2 countries.

Eric PearlmanDepartment of Ophthalmology and Visual Sciences, Case Western Reserve University, Cleveland, Ohio 44106, USA. Eric.Pearlman@case.edu
Angela Johnson
Gautam Adhikary
Yan Sun
Holly R Chinnery
Todd Fox
Mark Kester
Paul G McMenamin
Case Western Reserve University · USLions Eye Institute · AUPennsylvania State University · US

Funding

TISSUE CULTURE AND HYBRIDOMA MODULEP30EY011373 · NEI · CASE WESTERN RESERVE UNIVERSITY · PI CARLOS S SUBAUSTE · 1997 to 2026
$17.7M
Toll Like Receptors in Bacterial KeratitisR01EY014362 · NEI · UNIVERSITY OF CALIFORNIA-IRVINE · PI GEORGE R DUBYAK, Eric Pearlman · 2003 to 2026
$8.7M
NEI NIH HHS P30 EY011373NEI NIH HHS P30EY11373NEI NIH HHS R01 EY014362NEI NIH HHS R01EY14362
6 · The paper itself

Abstract

The Toll-like receptor (TLR) family of pathogen recognition molecules has an important role in recognizing microbial pathogens and microbial breakdown products. Activation of TLRs in the corneal epithelium induces CXC chemokine production and recruitment of neutrophils to the corneal stroma. Although essential for pathogen killing, neutrophils can cause extensive tissue damage, leading to visual impairment and blindness. In this review, we examine the role of TLRs in microbial keratitis and in noninfectious corneal inflammation, most commonly associated with contact lens wear. we present recent findings on TLR signaling pathways in the cornea, including MyD88- and TRIF-dependent responses and discuss the role of resident macrophages and dendritic cells. Finally, we examine the potential for targeting the TLR pathway as a potential therapeutic intervention for microbial keratitis and contact lens-associated corneal inflammation.

Indexed as

Adaptor Proteins, Signal TransducingAnimalsContact LensesDendritic CellsEpithelium, CornealEye InfectionsHumansKeratitisMacrophagesMyeloid Differentiation Factor 88Signal TransductionToll-Like ReceptorsAdaptor Proteins, Signal TransducingMyeloid Differentiation Factor 88Toll-Like Receptors

Identifiers

PMID18781257
PMCPMC3403823
OpenAlexW2071553192

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.