Evidence map›Paper›PMID 33220024›Full record

ArticleImmunity, inflammation and disease2021

Multiomic analysis identifies natural intrapatient temporal variability and changes in response to systemic corticosteroid therapy in chronic rhinosinusitis.

Michael Hoggard, Bincy Jacob, David Wheeler, Melissa Zoing, Kevin Chang, Kristi Biswas, Martin Middleditch, Richard G Douglas, Michael W Taylor

Open access · goldAbstract read
In one paragraph

Article in Immunity, inflammation and disease, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
0.7field-weighted citation impact, top 28% 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Unraveling the role of the microbiome in chronic rhinosinusitis.The Journal of allergy and clinical immunology · 2022
    Review
  5. Article
  6. 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

9 authors at 3 institutions in 1 country.

Michael HoggardSchool of Biological Sciences, The University of Auckland, Auckland, New Zealand.ORCID 0000-0001-9323-0830
Bincy JacobSchool of Biological Sciences, The University of Auckland, Auckland, New Zealand.
David WheelerNextgen Bioinformatic Services, Palmerston North, New Zealand.
Melissa ZoingDepartment of Surgery, School of Medicine, The University of Auckland, Auckland, New Zealand.
Kevin ChangDepartment of Statistics, Statistical Consulting Centre, The University of Auckland, Auckland, New Zealand.
Kristi BiswasDepartment of Surgery, School of Medicine, The University of Auckland, Auckland, New Zealand.
Martin MiddleditchSchool of Biological Sciences, The University of Auckland, Auckland, New Zealand.
Richard G DouglasDepartment of Surgery, School of Medicine, The University of Auckland, Auckland, New Zealand.
Michael W TaylorSchool of Biological Sciences, The University of Auckland, Auckland, New Zealand.
University of Auckland · NZPalmerston North Hospital · NZStatistics New Zealand · NZ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe pathophysiology and temporal dynamics of affected tissues in chronic rhinosinusitis (CRS) remain poorly understood. Here, we present a multiomics-based time-series assessment of nasal polyp biopsies from three patients with CRS, assessing natural variability over time and local response to systemic corticosteroid therapy.

methodsPolyp tissue biopsies were collected at three time points over two consecutive weeks. Patients were prescribed prednisone (30 mg daily) for 1 week between Collections 2 and 3. Polyp transcriptome, proteome, and microbiota were assessed via RNAseq, SWATH mass spectrometry, and 16S ribosomal RNA and ITS2 amplicon sequencing. Baseline interpatient variability, natural intrapatient variability over time, and local response to systemic corticosteroids, were investigated.

resultsOverall, the highly abundant transcripts and proteins were associated with pathways involved in inflammation, FAS, cadherin, integrin, Wnt, apoptosis, and cytoskeletal signaling, as well as coagulation and B- and T-cell activation. Transcripts and proteins that naturally varied over time included those involved with inflammation- and epithelial-mesenchymal transition-related pathways, and a number of common candidate target biomarkers of CRS. Ten transcripts responded significantly to corticosteroid therapy, including downregulation of TNF, CCL20, and GSDMA, and upregulation of OVGP1, and PCDHGB1. Members of the bacterial genus Streptococcus positively correlated with immunoglobulin proteins IGKC and IGHG1.

conclusionsUnderstanding natural dynamics of CRS-associated tissues is essential to provide baseline context for all studies on putative biomarkers, mechanisms, and subtypes of CRS. These data further our understanding of the natural dynamics within nasal polypoid tissue, as well as local changes in response to systemic corticosteroid therapy.

Indexed as

MicrobiotaNasal PolypsRhinitisSinusitisAdrenal Cortex HormonesGasderminsHumansNeoplasm ProteinsAdrenal Cortex HormonesGasderminsGSDMA protein, humanNeoplasm Proteinschronic rhinosinusitiscorticosteroidsmucosamultiomicspolyposis

Identifiers

PMID33220024
PMCPMC7860613
OpenAlexW3104176337

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.