Evidence map›Paper›PMID 33164732›Full record

ReviewEuropean journal of rheumatology2020

Molecular "omic" signatures in systemic sclerosis.

Bhaven K Mehta, Monica E Espinoza, Monique Hinchcliff, Michael L Whitfield

Abstract readReview
In one paragraph

Review in European journal of rheumatology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Metabolomics in systemic sclerosis.Rheumatology international · 2024
    Review
  6. Prevalence of hybrid TLR4Frontiers in immunology · 2024
    Article
  7. Article
  8. Article
  9. 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

4 authors.

Bhaven K MehtaDepartment of Molecular and Systems Biology, Geisel School of Medicine at Dartmouth, Hanover, NH, USA.ORCID http://orcid.org/0000-0003-1077-7895
Monica E EspinozaDepartment of Molecular and Systems Biology, Geisel School of Medicine at Dartmouth, Hanover, NH, USA.ORCID http://orcid.org/0000-0003-3577-7007
Monique HinchcliffDepartment of Rheumatology, Allergy & Immunology, Yale School of Medicine, New Haven, CT, USA.ORCID http://orcid.org/0000-0002-8652-9890
Michael L WhitfieldDepartment of Molecular and Systems Biology, Geisel School of Medicine at Dartmouth, Hanover, NH, USA.ORCID http://orcid.org/0000-0002-0862-6003

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Zhao - Proj 2P20GM130454 · NIGMS · DARTMOUTH COLLEGE · PI Li Song · 2019 to 2026
$27.2M
Translational studies for identifying and targeting novel pathways in systemic sclerosis pathogenesisP50AR060780 · NIAMS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI LAFYATIS, ROBERT A. · 2011 to 2021
$14.9M
IMMUNOBIOLOGY OF MYELOID AND LYMPHOID CELLST32AI007363 · NIAID · DARTMOUTH COLLEGE · PI Claudia V Jakubzick · 1990 to 2026
$9.5M
Pathogenic Wnt-beta catenin target genes in macrophages and fibrosisR01AR073270 · NIAMS · YALE UNIVERSITY · PI HINCHCLIFF, MONIQUE EVANGELINE · 2019 to 2023
$2.6M
Complex 3-Dimensional in vitro Human Skin Tissue Models for SclerodermaR44AR072170 · NIAMS · CELDARA MEDICAL, LLC · PI MURAD, JOANA M · 2018 to 2019
$1.5M
Cellular Immunotherapy for Systemic SclerosisR44AR073067 · NIAMS · CELDARA MEDICAL, LLC · PI MURAD, JOANA M · 2019 to 2020
$1.5M
NCATS NIH HHS UL1 TR001863NIAID NIH HHS T32 AI007363NIAMS NIH HHS P50 AR060780NIAMS NIH HHS R01 AR073270NIAMS NIH HHS R44 AR072170NIAMS NIH HHS R44 AR073067NIGMS NIH HHS P20 GM130454
6 · The paper itself

Abstract

Systemic sclerosis (SSc) is a connective tissue disorder characterized by immunologic, vascular, and extracellular matrix abnormalities. Variation in the proportion and/or timing of activation in the deregulated molecular pathways that underlie SSc may explain the observed clinical heterogeneity in terms of disease phenotype and treatment response. In recent years, SSc research has generated massive amounts of "omics" level data. In this review, we discuss the body of "omics" level work in SSc and how each layer provides unique insight to our understanding of SSc. We posit that effective integration of genomic, transcriptomic, metagenomic, and epigenomic data is an important step toward precision medicine and is vital to the identification of effective therapeutic options for patients with SSc.

Identifiers

PMID33164732
PMCPMC7647683

What OpenQuestion holds

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Registered trials

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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.