Evidence map›Paper›PMID 28477077›Full record

ArticleClinical reviews in allergy & immunology2017

Immunophenotyping As a New Tool for Classification and Monitoring of Systemic Autoimmune Diseases.

Yves Renaudineau

Abstract read
PubMed Publisher
In one paragraph

Article in Clinical reviews in allergy & immunology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.8field-weighted citation impact, top 31% 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

3 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Article
  3. Autoimmunity in 2017.Clinical reviews in allergy & immunology · 2018
    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

1 author at 1 institution in 1 country.

Yves RenaudineauLaboratory of Immunology and Immunotherapy, CHU Morvan, Brest, France. yves.renaudineau@univ-brest.fr.ORCID http://orcid.org/0000-0001-5098-5002
Inserm · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The clinical course of systemic autoimmune diseases (SADs) varies greatly, even between individuals with the same disease. Understanding of the immune actors is informative and could lead to significant improvements in diagnosis, monitoring, initial treatment decisions and/or follow-up. However, immunological changes in mononuclear cells associated with SADs have been only partially described, and usually are limited to analysis of peripheral blood cells (less than 5% of the total mononuclear pool). Another limitation is technological, related to utilization of flow cytometry, which remains highly variable with regards to sample preparation, reagents, instrument constraints, and data analysis. As a consequence, and although confirmation conducted by independent teams using multivariate analysis is lacking for proposing to use immunophenotyping in the diagnosis and/or follow-up of patients, there is a consensus of interest for monitoring several mononuclear cell subsets for emerging roles in SADs including memory B cells, effector T cells, and dendritic cells. In the near future and with the development of next generation technologies and standardized operating procedures, it is predicted that flow cytometry will find its place in the development of future personalized medicine in SADs. In addition, better understanding of immunological deregulations (e.g., intracellular phosphoproteins and cytokines, calcium actors) in both human and SAD-prone mouse models, as presented in this special issue, would undoubtedly open new perspectives and applications.

Indexed as

AnimalsAutoantibodiesAutoimmune DiseasesB-LymphocytesCell SeparationDendritic CellsDisease Models, AnimalFlow CytometryHumansImmunophenotypingMiceMonitoring, ImmunologicMonitoring, PhysiologicPrecision MedicineT-LymphocytesAutoantibodiesB cellsFlow cytometryMonocytesSystemic autoimmune diseasesT cells

Identifiers

PMID28477077
OpenAlexW2610578237

What OpenQuestion holds

Textmetadata
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.