Evidence map›Paper›PMID 39769372›Full record

ReviewInternational journal of molecular sciences2024

Defining the Differential Corticosteroid Response Basis from Multiple Omics Approaches.

Melody Ramirez-Falcon, Eva Suarez-Pajes, Carlos Flores

Abstract readReview
In one paragraph

Review in International journal of molecular sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Melody Ramirez-FalconResearch Unit, Hospital Universitario Ntra. Sra. de Candelaria, Instituto de Investigación Sanitaria de Canarias, 38010 Santa Cruz de Tenerife, Spain.
Eva Suarez-PajesResearch Unit, Hospital Universitario Ntra. Sra. de Candelaria, Instituto de Investigación Sanitaria de Canarias, 38010 Santa Cruz de Tenerife, Spain.
Carlos FloresResearch Unit, Hospital Universitario Ntra. Sra. de Candelaria, Instituto de Investigación Sanitaria de Canarias, 38010 Santa Cruz de Tenerife, Spain.ORCID 0000-0001-5352-069X

Funding

Agencia Canaria de Investigación, Innovación y Sociedad de la Información TESIS2022010042Fundación Canaria Instituto de Investigación Sanitaria de Canarias PIFIISC23/05Instituto de Salud Carlos III AC21_2/00039Instituto de Salud Carlos III CB06/06/1088Instituto de Salud Carlos III PI20/00876Instituto de Salud Carlos III PI23/00980Instituto Tecnológico y de Energías Renovables OA23/043
6 · The paper itself

Abstract

Since their discovery, corticosteroids have been widely used in the treatment of several diseases, including asthma, acute lymphoblastic leukemia, chronic obstructive pulmonary disease, and many other conditions. However, it has been noted that some patients develop undesired side effects or even fail to respond to treatment. The reasons behind this have not yet been fully elucidated. This poses a significant challenge to effective treatment that needs to be addressed urgently. Recent genomic, transcriptomic, and other omics-based approximations have begun to shed light into the genetic factors influencing interindividual variability in corticosteroid efficacy and its side effects. Here, we comprehensively revise the recent literature on corticosteroid response in various critical and chronic diseases, with a focus on omics approaches, and highlight existing knowledge gaps where further investigation is urgently needed.

Indexed as

Adrenal Cortex HormonesGenomicsAsthmaHumansPulmonary Disease, Chronic ObstructiveTranscriptomeAdrenal Cortex Hormonescorticosteroidsepigenomicsgenomicsglucocorticoidsmetabolomicsproteomicstranscriptomics

Identifiers

PMID39769372
PMCPMC11679800

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.