Evidence map›Paper›PMID 24169630›Full record

ReviewViruses2013

Role of innate immunity against human papillomavirus (HPV) infections and effect of adjuvants in promoting specific immune response.

Alfredo Amador-Molina, José Fernando Hernández-Valencia, Edmundo Lamoyi, Adriana Contreras-Paredes, Marcela Lizano

Abstract readReview
In one paragraph

Review in Viruses, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 83 papers.

0numbers the graph read from it
0cells of the map it votes in
83citing 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

83 citing papers in PubMed.

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  2. Complement component 3c and tumor necrosis factor-α systemic assessment after Candida antigen immunotherapy in cutaneous warts.Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] · 2020
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23 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

5 authors.

Alfredo Amador-MolinaUnidad de Investigación Biomédica en Cáncer, Instituto Nacional de Cancerología, Av. San Fernando No. 22, Col. Sección XVI, Tlalpan 14080, Mexico. lizanosoberon@gmail.com.
José Fernando Hernández-Valencia
Edmundo Lamoyi
Adriana Contreras-Paredes
Marcela Lizano

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

During the early stages of human papillomavirus (HPV) infections, the innate immune system creates a pro-inflammatory microenvironment by recruiting innate immune cells to eliminate the infected cells, initiating an effective acquired immune response. However, HPV exhibits a wide range of strategies for evading immune-surveillance, generating an anti-inflammatory microenvironment. The administration of new adjuvants, such as TLR (Toll-like receptors) agonists and alpha-galactosylceramide, has been demonstrated to reverse the anti-inflammatory microenvironment by down-regulating a number of adhesion molecules and chemo-attractants and activating keratinocytes, dendritic (DC), Langerhans (LC), natural killer (NK) or natural killer T (NKT) cells; thus, promoting a strong specific cytotoxic T cell response. Therefore, these adjuvants show promise for the treatment of HPV generated lesions and may be useful to elucidate the unknown roles of immune cells in the natural history of HPV infection. This review focuses on HPV immune evasion mechanisms and on the proposed response of the innate immune system, suggesting a role for the surrounding pro-inflammatory microenvironment and the NK and NKT cells in the clearance of HPV infections.

Indexed as

Immunity, InnateAdjuvants, ImmunologicAnimalsHumansImmune EvasionPapillomaviridaePapillomavirus InfectionsAdjuvants, Immunologic

Identifiers

PMID24169630
PMCPMC3856406

What OpenQuestion holds

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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.