Evidence map›Paper›PMID 33329570›Full record

ArticleFrontiers in immunology2020

A Neutrophil-Driven Inflammatory Signature Characterizes the Blood Transcriptome Fingerprint of Psoriasis.

Arun Rawat, Darawan Rinchai, Mohammed Toufiq, Alexandra K Marr, Tomoshige Kino, Mathieu Garand, Zohreh Tatari-Calderone, Basirudeen Syed Ahamed Kabeer, Navaneethakrishnan Krishnamoorthy, Davide Bedognetti and 3 more

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Article in Frontiers in immunology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

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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

25 citing papers in PubMed.

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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

13 authors.

Arun RawatResearch Department, SIDRA Medicine, Doha, Qatar.
Darawan RinchaiResearch Department, SIDRA Medicine, Doha, Qatar.
Mohammed ToufiqResearch Department, SIDRA Medicine, Doha, Qatar.
Alexandra K MarrResearch Department, SIDRA Medicine, Doha, Qatar.
Tomoshige KinoResearch Department, SIDRA Medicine, Doha, Qatar.
Mathieu GarandResearch Department, SIDRA Medicine, Doha, Qatar.
Zohreh Tatari-CalderoneResearch Department, SIDRA Medicine, Doha, Qatar.
Basirudeen Syed Ahamed KabeerResearch Department, SIDRA Medicine, Doha, Qatar.
Navaneethakrishnan KrishnamoorthyResearch Department, SIDRA Medicine, Doha, Qatar.
Davide BedognettiResearch Department, SIDRA Medicine, Doha, Qatar.
Mohammed Yousuf KarimDepartment of Pathology, SIDRA Medicine, Doha, Qatar.
Konduru S SastryResearch Department, SIDRA Medicine, Doha, Qatar.
Damien ChaussabelResearch Department, SIDRA Medicine, Doha, Qatar.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Transcriptome profiling approaches have been widely used to investigate the mechanisms underlying psoriasis pathogenesis. Most researchers have measured changes in transcript abundance in skin biopsies; relatively few have examined transcriptome changes in the blood. Although less relevant to the study of psoriasis pathogenesis, blood transcriptome profiles can be readily compared across various diseases. Here, we used a pre-established set of 382 transcriptional modules as a common framework to compare changes in blood transcript abundance in two independent public psoriasis datasets. We then compared the resulting "transcriptional fingerprints" to those obtained for a reference set of 16 pathological or physiological states. The perturbations in blood transcript abundance in psoriasis were relatively subtle compared to the changes we observed in other autoimmune and auto-inflammatory diseases. However, we did observe a consistent pattern of changes for a set of modules associated with neutrophil activation and inflammation; interestingly, this pattern resembled that observed in patients with Kawasaki disease. This similarity between the blood-transcriptome signatures in psoriasis and Kawasaki disease suggests that the immune mechanisms driving their pathogenesis might be partially shared.

Indexed as

Gene Expression ProfilingHumansInflammationMucocutaneous Lymph Node SyndromeNeutrophilsPsoriasisTranscriptomebloodKawasaki diseasepsoriasissystems biologytranscriptomics

Identifiers

PMID33329570
PMCPMC7732684

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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.