Evidence map›Paper›PMID 38464396›Full record

ReviewFrontiers in allergy2024

Allergy-associated biomarkers in early life identified by Omics techniques.

Elisa Zubeldia-Varela, María Dolores Ibáñez-Sandín, Cristina Gomez-Casado, Marina Pérez-Gordo

Abstract readReview
In one paragraph

Review in Frontiers in allergy, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Review
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.

Elisa Zubeldia-VarelaInstitute of Applied Molecular Medicine Nemesio Díez (IMMA), Department of Basic Medical Sciences, Facultad de Medicina. Universidad San Pablo-CEU, CEU Universities, Madrid, Spain.
María Dolores Ibáñez-SandínDepartment of Allergy, H. Infantil Universitario Niño Jesús, FibHNJ, ARADyAL- RETICs Instituto de Salud Carlos III, IIS-P, Madrid, Spain.
Cristina Gomez-Casado *Department of Dermatology, University Hospital Duesseldorf, Heinrich-Heine University, Duesseldorf, Germany.
Marina Pérez-Gordo *Institute of Applied Molecular Medicine Nemesio Díez (IMMA), Department of Basic Medical Sciences, Facultad de Medicina. Universidad San Pablo-CEU, CEU Universities, Madrid, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The prevalence and severity of allergic diseases have increased over the last 30 years. Understanding the mechanisms responsible for these diseases is a major challenge in current allergology, as it is crucial for the transition towards precision medicine, which encompasses predictive, preventive, and personalized strategies. The urge to identify predictive biomarkers of allergy at early stages of life is crucial, especially in the context of major allergic diseases such as food allergy and atopic dermatitis. Identifying these biomarkers could enhance our understanding of the immature immune responses, improve allergy handling at early ages and pave the way for preventive and therapeutic approaches. This minireview aims to explore the relevance of three biomarker categories (proteome, microbiome, and metabolome) in early life. First, levels of some proteins emerge as potential indicators of mucosal health and metabolic status in certain allergic diseases. Second, bacterial taxonomy provides insight into the composition of the microbiota through high-throughput sequencing methods. Finally, metabolites, representing the end products of bacterial and host metabolic activity, serve as early indicators of changes in microbiota and host metabolism. This information could help to develop an extensive identification of biomarkers in AD and FA and their potential in translational personalized medicine in early life.

Indexed as

atopic dermatitisatopybiomarkersearly lifefood allergymetabolomemicrobiomeproteome

Identifiers

PMID38464396
PMCPMC10920277

What Socratic holds

Textmetadata
LicenceCC BY
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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 Socratic graph.