Evidence map›Paper›PMID 19703980›Full record

ReviewInfection and immunity2009

Susceptibility to infectious diseases based on antimicrobial peptide production.

Bruno Rivas-Santiago, Carmen J Serrano, J Antonio Enciso-Moreno

Open access · greenAbstract readReview
In one paragraph

Review in Infection and immunity, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed
3.5field-weighted citation impact, top 8% 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

38 citing papers in PubMed, 94 citations in OpenAlex.

  1. Article
  2. Article
  3. Association Between Genetic Variants inInternational journal of dentistry · 2025
    Article
  4. Article
  5. Article
  6. Establishment of Baseline Urinary Antimicrobial Peptide Levels by Age: A Prospective Observational Study.The journals of gerontology. Series A, Biological sciences and medical sciences · 2024
    Observational
  7. Article
  8. A Common Polymorphism inInternational journal of molecular sciences · 2024
    Article
  9. Review
  10. Article
  11. Therapeutic evaluation of immunomodulators in reducing surgical wound infection.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2022
    Article
  12. Review
  13. Review
  14. Review
  15. Article
  16. Review
  17. Review
  18. Observational
  19. Review
  20. Natural molecules induce and synergize to boost expression of the human antimicrobial peptide β-defensin-3.Proceedings of the National Academy of Sciences of the United States of America · 2018
    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

3 authors at 1 institution in 1 country.

Bruno Rivas-SantiagoUnidad de Investigación Médica-Zacatecas, IMSS, Interior de la Alameda #45, Zacatecas, Zacatecas, Mexico.
Carmen J Serrano
J Antonio Enciso-Moreno
Mexican Social Security Institute · MX

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the last few years, the great impact of antimicrobial peptides on infectious disease susceptibility and natural resistance has been reported. In some cases, susceptibility to diseases is related to antimicrobial peptide polymorphisms and gene copy numbers, but for the vast majority of infectious diseases, these phenomena need to be elucidated. This review is focused on the current knowledge about susceptibility and resistance conferred by genetic variations in antimicrobial peptide expression in infectious diseases.

Indexed as

Genetic Predisposition to DiseaseAnimalsAntimicrobial Cationic PeptidesCommunicable DiseasesHumansAntimicrobial Cationic Peptides

Identifiers

PMID19703980
PMCPMC2772553
OpenAlexW2119695962

What OpenQuestion holds

Textmetadata
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.