Evidence map›Paper›PMID 35492314›Full record

ReviewFrontiers in medicine2022

Lipidomic Profiling in Synovial Tissue.

Roxana Coras, Jessica D Murillo-Saich, Abha G Singh, Arthur Kavanaugh, Monica Guma

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
0.9field-weighted citation impact, top 29% 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

12 citing papers in PubMed, 10 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Multi-omic analysis reveals thatFrontiers in pharmacology · 2024
    Article
  10. Epigenetic and Metabolic Regulation of Macrophages during Gout.Gout, urate, and crystal deposition disease · 2023
    Article
  11. Article
  12. Review
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

5 authors at 2 institutions in 2 countries.

Roxana CorasDepartment of Medicine, School of Medicine, University of California, San Diego, San Diego, CA, United States.
Jessica D Murillo-SaichDepartment of Medicine, School of Medicine, University of California, San Diego, San Diego, CA, United States.
Abha G SinghDepartment of Medicine, School of Medicine, University of California, San Diego, San Diego, CA, United States.
Arthur KavanaughDepartment of Medicine, School of Medicine, University of California, San Diego, San Diego, CA, United States.
Monica GumaDepartment of Medicine, School of Medicine, University of California, San Diego, San Diego, CA, United States.
University of California, San Diego · USUniversitat Autònoma de Barcelona · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The analysis of synovial tissue offers the potential for the comprehensive characterization of cell types involved in arthritis pathogenesis. The studies performed to date in synovial tissue have made it possible to define synovial pathotypes, which relate to disease severity and response to treatment. Lipidomics is the branch of metabolomics that allows the quantification and identification of lipids in different biological samples. Studies in animal models of arthritis and in serum/plasma from patients with arthritis suggest the involvement of different types of lipids (glycerophospholipids, glycerolipids, sphingolipids, oxylipins, fatty acids) in the pathogenesis of arthritis. We reviewed studies that quantified lipids in different types of tissues and their relationship with inflammation. We propose that combining lipidomics with currently used "omics" techniques can improve the information obtained from the analysis of synovial tissue, for a better understanding of pathogenesis and the development of new therapeutic strategies.

Indexed as

arthritisinflammationlipidomicssynovial biopsiessynovitis

Identifiers

PMID35492314
PMCPMC9051397
OpenAlexW4223938717

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.