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Chromosome conformation signatures define predictive markers of inadequate response to methotrexate in early rheumatoid arthritis

Overview of attention for article published in Journal of Translational Medicine, January 2018
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  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (98th percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

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14 news outlets
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2 blogs
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66 Mendeley
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Title
Chromosome conformation signatures define predictive markers of inadequate response to methotrexate in early rheumatoid arthritis
Published in
Journal of Translational Medicine, January 2018
DOI 10.1186/s12967-018-1387-9
Pubmed ID
Authors

Claudio Carini, Ewan Hunter, Scottish Early Rheumatoid Arthritis Inception cohort Investigators, Aroul S. Ramadass, Jayne Green, Alexandre Akoulitchev, Iain B. McInnes, Carl S. Goodyear

Abstract

There is a pressing need in rheumatoid arthritis (RA) to identify patients who will not respond to first-line disease-modifying anti-rheumatic drugs (DMARD). We explored whether differences in genomic architecture represented by a chromosome conformation signature (CCS) in blood taken from early RA patients before methotrexate (MTX) treatment could assist in identifying non-response to DMARD and, whether there is an association between such a signature and RA specific expression quantitative trait loci (eQTL). We looked for the presence of a CCS in blood from early RA patients commencing MTX using chromosome conformation capture by EpiSwitch™. Using blood samples from MTX responders, non-responders and healthy controls, a custom designed biomarker discovery array was refined to a 5-marker CCS that could discriminate between responders and non-responders to MTX. We cross-validated the predictive power of the CCS by generating 150 randomized groups of 59 early RA patients (30 responders and 29 non-responders) before MTX treatment. The CCS was validated using a blinded, independent cohort of 19 early RA patients (9 responders and 10 non-responders). Last, the loci of the CCS markers were mapped to RA-specific eQTL. We identified a 5-marker CCS that could identify, at baseline, responders and non-responders to MTX. The CCS consisted of binary chromosome conformations in the genomic regions of IFNAR1, IL-21R, IL-23, CXCL13 and IL-17A. When tested on a cohort of 59 RA patients, the CCS provided a negative predictive value of 90.0% for MTX response. When tested on a blinded independent validation cohort of 19 early RA patients, the signature demonstrated a true negative response rate of 86 and a 90% sensitivity for detection of non-responders to MTX. Only conformations in responders mapped to RA-specific eQTL. Here we demonstrate that detection of a CCS in blood in early RA is able to predict inadequate response to MTX with a high degree of accuracy. Our results provide a proof of principle that a priori stratification of response to MTX is possible, offering a mechanism to provide alternative treatments for non-responders to MTX earlier in the course of the disease.

X Demographics

X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 66 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 66 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 15%
Student > Master 9 14%
Other 7 11%
Student > Bachelor 6 9%
Student > Ph. D. Student 6 9%
Other 12 18%
Unknown 16 24%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 12 18%
Medicine and Dentistry 11 17%
Agricultural and Biological Sciences 9 14%
Immunology and Microbiology 3 5%
Pharmacology, Toxicology and Pharmaceutical Science 3 5%
Other 8 12%
Unknown 20 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 116. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 02 August 2021.
All research outputs
#364,466
of 25,582,611 outputs
Outputs from Journal of Translational Medicine
#85
of 4,680 outputs
Outputs of similar age
#8,451
of 451,781 outputs
Outputs of similar age from Journal of Translational Medicine
#3
of 85 outputs
Altmetric has tracked 25,582,611 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,680 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.0. This one has done particularly well, scoring higher than 98% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 451,781 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 98% of its contemporaries.
We're also able to compare this research output to 85 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 97% of its contemporaries.