Evidence map›Paper›PMID 32910934›Full record

ReviewPharmacology & therapeutics2021

Insights into glucocorticoid responses derived from omics studies.

Mengyuan Kan, Blanca E Himes

Abstract readReview
In one paragraph

Review in Pharmacology & therapeutics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Review
  6. Review
  7. Article
  8. Article
  9. Glucocorticoid therapy in respiratory illness: bench to bedside.Journal of investigative medicine : the official publication of the American Federation for Clinical Research · 2022
    Review
  10. Article
  11. Article
  12. 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

2 authors.

Mengyuan KanDepartment of Biostatistics, Epidemiology and Informatics, University of Pennsylvania, Philadelphia, PA 19104, United States. Electronic address: mengykan@pennmedicine.upenn.edu.
Blanca E HimesDepartment of Biostatistics, Epidemiology and Informatics, University of Pennsylvania, Philadelphia, PA 19104, United States. Electronic address: bhimes@pennmedicine.upenn.edu.

Funding

Translational Research Support CoreP30ES013508 · NIEHS · UNIVERSITY OF PENNSYLVANIA · PI A. Clementina Mesaros · 2006 to 2026
$35.3M
CEBPD-Mediated Mechanisms of Glucocorticoid Insensitivity in Severe AsthmaR01HL133433 · NHLBI · UNIVERSITY OF PENNSYLVANIA · PI HIMES, BLANCA E · 2017 to 2021
$3.2M
Integrative Analyses to Uncover Biological Mechanisms Mediating Gene Associations with Asthma Drug Response Among Minority ChildrenR01HL141992 · NHLBI · UNIVERSITY OF PENNSYLVANIA · PI BURCHARD, ESTEBAN GONZALEZ, HIMES, BLANCA E · 2018 to 2019
$855k
NHLBI NIH HHS R01 HL133433NHLBI NIH HHS R01 HL141992NIEHS NIH HHS P30 ES013508
6 · The paper itself

Abstract

Glucocorticoid drugs are commonly used in the treatment of several conditions, including autoimmune diseases, asthma and cancer. Despite their widespread use and knowledge of biological pathways via which they act, much remains to be learned about the cell type-specific mechanisms of glucocorticoid action and the reasons why patients respond differently to them. In recent years, human and in vitro studies have addressed these questions with genomics, transcriptomics and other omics approaches. Here, we summarize key insights derived from omics studies of glucocorticoid response, and we identify existing knowledge gaps related to mechanisms of glucocorticoid action that future studies can address.

Indexed as

GlucocorticoidsGenomicsHumansGlucocorticoidsEpigenomicsGenomicsGlucocorticoidsMetabolomicsProteomicsTranscriptomics

Identifiers

PMID32910934
PMCPMC7854977

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.