Evidence map›Paper›PMID 27999674›Full record

ArticleBiomarker research2016

Development and validation of a novel bioassay to determine glucocorticoid sensitivity.

Emily L Williams, Madeleine L Stimpson, Peter L Collins, Doyo G Enki, Ashish Sinha, Richard W Lee, Ashwin D Dhanda

Open access · goldAbstract read
In one paragraph

Article in Biomarker research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.5field-weighted citation impact, top 32% 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

5 citing papers in PubMed, 7 citations in OpenAlex.

  1. Review
  2. Variation in glucocorticoid sensitivity and the relation with obesity.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2022
    Review
  3. Review
  4. Review
  5. 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

7 authors at 4 institutions in 1 country.

Emily L Williams *School of Clinical Sciences, Medical Sciences Building, University of Bristol, Bristol, BS9 1TD UK.
Madeleine L Stimpson *School of Clinical Sciences, Medical Sciences Building, University of Bristol, Bristol, BS9 1TD UK.
Peter L CollinsSchool of Clinical Sciences, Medical Sciences Building, University of Bristol, Bristol, BS9 1TD UK.
Doyo G EnkiBiostatistics, Bioinformatics and Biomarkers research group, Plymouth University, N15 Plymouth Science Park, Plymouth, PL6 8BX UK.
Ashish SinhaDepartment of Liver Medicine, University Hospitals Bristol NHS Foundation Trust, Bristol, BS2 8HW UK.
Richard W LeeSchool of Clinical Sciences, Medical Sciences Building, University of Bristol, Bristol, BS9 1TD UK.
Ashwin D DhandaSchool of Clinical Sciences, Medical Sciences Building, University of Bristol, Bristol, BS9 1TD UK.
University of Bristol · GBUniversity Hospitals Bristol NHS Foundation Trust · GBMoorfields Eye Hospital NHS Foundation Trust · GBUniversity of Plymouth · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGlucocorticoids (GCs) remain the first line treatment for almost all non-infectious inflammatory diseases, ranging from acute asthma to rheumatoid arthritis. However, across all conditions, patients have a variable response to GCs with approximately 30% being non-responders. This group of GC resistant patients is typically exposed to high-dose GCs and their side-effects before more appropriate immunotherapy is instituted. Hence, there is a pressing clinical need for a predictive biomarker of GC responsiveness. The availability of such a tool would also enable patient stratification for the conduct of smart clinical trials in GC resistance. Lymphocyte GC sensitivity has been shown to be closely associated with clinical GC sensitivity in a number of inflammatory diseases. However, the method for determining in vitro GC response is not standardized and requires the use of specialist equipment, including a radioisotope to quantify cellular proliferation, making it challenging to translate into clinical practice.

resultsHere we describe the optimization and validation of a novel non-radioactive in vitro bioassay based on measuring cellular proliferation by incorporation of bromodeoxyuridine (BrdU), termed the BrdU incorporation in lymphocyte steroid sensitivity assay (BLISS). In comparison to the current gold standard lymphocyte GC sensitivity assay in 101 healthy control samples, BLISS has an area under receiver operating characteristic of 0.82 and a sensitivity of 83% for correctly identifying GC resistant subjects.

conclusionsThe performance of the novel BLISS bioassay makes it a strong candidate biomarker for clinical application. It now requires validation in a prospective patient cohort.

Indexed as

BiomarkerBromodeoxyuridineGlucocorticoid sensitivityProliferation

Identifiers

PMID27999674
PMCPMC5157083
OpenAlexW2567330587

What OpenQuestion 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 OpenQuestion graph.