Evidence map›Paper›PMID 30030262›Full record

ArticleAnnals of the rheumatic diseases2018

Multi-OMICS analyses unveil

Raphael Carapito, Christine Carapito, Aurore Morlon, Nicodème Paul, Alvaro Sebastian Vaca Jacome, Ghada Alsaleh, Véronique Rolli, Ouria Tahar, Ismail Aouadi, Magali Rompais and 8 more

Open access · hybridAbstract readCase Reports
In one paragraph

Article in Annals of the rheumatic diseases, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
1.0field-weighted citation impact, top 24% 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, 1 synthesis or guideline pooled it, 22 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Review
  4. Article
  5. Review
  6. Article
  7. Review
  8. Article
  9. Review
  10. Article
  11. Article
  12. Periodic fever syndromes and the autoinflammatory diseases (AIDs).Journal of translational autoimmunity · 2020
    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

18 authors at 6 institutions in 1 country.

Raphael Carapito *Laboratoire d'ImmunoRhumatologie Moléculaire, INSERM UMR_S1109, Plateforme GENOMAX, LabEx TRANSPLANTEX, Faculté de Médecine, Université de Strasbourg, Strasbourg, France.
Christine Carapito *Fédération Hospitalo-Universitaire OMICARE, Université de Strasbourg, Strasbourg, France.
Aurore MorlonMolecular Immunology Unit, BIOMICA SAS, Strasbourg, France.
Nicodème PaulLaboratoire d'ImmunoRhumatologie Moléculaire, INSERM UMR_S1109, Plateforme GENOMAX, LabEx TRANSPLANTEX, Faculté de Médecine, Université de Strasbourg, Strasbourg, France.
Alvaro Sebastian Vaca JacomeLaboratoire de Spectrométrie de Masse BioOrganique, Université de Strasbourg, CNRS, IPHC, UMR 7178, Strasbourg, France.
Ghada AlsalehLaboratoire d'ImmunoRhumatologie Moléculaire, INSERM UMR_S1109, Plateforme GENOMAX, LabEx TRANSPLANTEX, Faculté de Médecine, Université de Strasbourg, Strasbourg, France.
Véronique RolliLaboratoire d'ImmunoRhumatologie Moléculaire, INSERM UMR_S1109, Plateforme GENOMAX, LabEx TRANSPLANTEX, Faculté de Médecine, Université de Strasbourg, Strasbourg, France.
Ouria TaharLaboratoire d'ImmunoRhumatologie Moléculaire, INSERM UMR_S1109, Plateforme GENOMAX, LabEx TRANSPLANTEX, Faculté de Médecine, Université de Strasbourg, Strasbourg, France.
Ismail AouadiLaboratoire d'ImmunoRhumatologie Moléculaire, INSERM UMR_S1109, Plateforme GENOMAX, LabEx TRANSPLANTEX, Faculté de Médecine, Université de Strasbourg, Strasbourg, France.
Magali RompaisLaboratoire de Spectrométrie de Masse BioOrganique, Université de Strasbourg, CNRS, IPHC, UMR 7178, Strasbourg, France.
François DelalandeLaboratoire de Spectrométrie de Masse BioOrganique, Université de Strasbourg, CNRS, IPHC, UMR 7178, Strasbourg, France.
Angélique PichotLaboratoire d'ImmunoRhumatologie Moléculaire, INSERM UMR_S1109, Plateforme GENOMAX, LabEx TRANSPLANTEX, Faculté de Médecine, Université de Strasbourg, Strasbourg, France.
Philippe GeorgelLaboratoire d'ImmunoRhumatologie Moléculaire, INSERM UMR_S1109, Plateforme GENOMAX, LabEx TRANSPLANTEX, Faculté de Médecine, Université de Strasbourg, Strasbourg, France.
Laurent MesserService de Rhumatologie, Hôpitaux Civils de Colmar, Colmar, France.
Jean SibiliaLaboratoire d'ImmunoRhumatologie Moléculaire, INSERM UMR_S1109, Plateforme GENOMAX, LabEx TRANSPLANTEX, Faculté de Médecine, Université de Strasbourg, Strasbourg, France.
Sarah CianferaniFédération Hospitalo-Universitaire OMICARE, Université de Strasbourg, Strasbourg, France.
Alain Van DorsselaerFédération Hospitalo-Universitaire OMICARE, Université de Strasbourg, Strasbourg, France.
Seiamak BahramLaboratoire d'ImmunoRhumatologie Moléculaire, INSERM UMR_S1109, Plateforme GENOMAX, LabEx TRANSPLANTEX, Faculté de Médecine, Université de Strasbourg, Strasbourg, France.
Centre National de la Recherche Scientifique · FRUniversité de Strasbourg · FRFédération Hospitalo-Universitaire, Paris Center for Microbiome Medicine · FRInserm · FRHôpital Civil, Strasbourg · FRHopitaux Civils de Colmar · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe objective of the present study was to explain why two siblings carrying both the same homozygous pathogenic mutation for the autoinflammatory disease hyper IgD syndrome, show opposite phenotypes, that is, the first being asymptomatic, the second presenting all classical characteristics of the disease.

methodsWhere single omics (mainly exome) analysis fails to identify culprit genes/mutations in human complex diseases, multiomics analyses may provide solutions, although this has been seldom used in a clinical setting. Here we combine exome, transcriptome and proteome analyses to decipher at a molecular level, the phenotypic differences between the two siblings.

resultsThis multiomics approach led to the identification of a single gene

conclusionsThis study demonstrates the power of a multiomics approach to uncover potential clinically actionable targets for a personalised therapy. In more general terms, we provide a proteogenomics analysis pipeline that takes advantage of subject-specific genomic and transcriptomic information to improve protein identification and hence advance individualised medicine.

Indexed as

Genes, ModifierAdultExomeFemaleGene Expression ProfilingHumansMevalonate Kinase DeficiencyMiddle AgedMutation, MissensePhenotypePolymorphism, Single NucleotideProteomicsSTAT1 Transcription FactorSTAT1 protein, humanSTAT1 Transcription Factorfamilial mediterranean fevergene polymorphisminflammation

Identifiers

PMID30030262
PMCPMC6225799
OpenAlexW2884374549

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.