Evidence map›Paper›PMID 30513304›Full record

ReviewDevelopmental and comparative immunology2019

Comparative models for human nasal infections and immunity.

Elisa Casadei, Irene Salinas

Open access · bronzeAbstract readComparative StudyReview
In one paragraph

Review in Developmental and comparative immunology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
0.9field-weighted citation impact, top 27% 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 37 citations in OpenAlex.

  1. Mucosal immune response in biology, disease prevention and treatment.Signal transduction and targeted therapy · 2025
    Pooled it
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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

2 authors at 1 institution in 1 country.

Elisa CasadeiUniversity of New Mexico, Department of Biology, Center for Evolutionary and Theoretical Immunology (CETI), Albuquerque, NM, USA. Electronic address: ecasadei@unm.edu.
Irene SalinasUniversity of New Mexico, Department of Biology, Center for Evolutionary and Theoretical Immunology (CETI), Albuquerque, NM, USA.
University of New Mexico · US

Funding

Pilot Project ProgramP30GM110907 · NIGMS · UNIVERSITY OF NEW MEXICO · PI LOKER, ERIC SAMUEL · 2014 to 2018
$5.4M
NIGMS NIH HHS P30 GM110907
6 · The paper itself

Abstract

The human olfactory system is a mucosal surface and a major portal of entry for respiratory and neurotropic pathogens into the body. Understanding how the human nasopharynx-associated lymphoid tissue (NALT) halts the progression of pathogens into the lower respiratory tract or the central nervous system is key for developing effective cures. Although traditionally mice have been used as the gold-standard model for the study of human nasal diseases, mouse models present important caveats due to major anatomical and functional differences of the human and murine olfactory system and NALT. We summarize the NALT anatomy of different animal groups that have thus far been used to study host-pathogen interactions at the olfactory mucosa and to test nasal vaccines. The goal of this review is to highlight the strengths and limitations of each animal model of nasal immunity and to identify the areas of research that require further investigation to advance human health.

Indexed as

AnimalsDisease Models, AnimalHost-Pathogen InteractionsHumansImmunityInfectionsLymphoid TissueMiceNasopharynxNose DiseasesOlfactory BulbOlfactory MucosaComparative immunologyDisease modelsNALTNasal infectionsNasal vaccinationNeuroimmunology

Identifiers

PMID30513304
PMCPMC7102639
OpenAlexW2903219981

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.