Evidence map›Paper›PMID 25486901›Full record

ArticleBMC immunology2014

In silico analysis of autoimmune diseases and genetic relationships to vaccination against infectious diseases.

Peter B McGarvey, Baris E Suzek, James N Baraniuk, Shruti Rao, Brian Conkright, Samir Lababidi, Andrea Sutherland, Richard Forshee, Subha Madhavan

Open access · goldAbstract read
In one paragraph

Article in BMC immunology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
1.6field-weighted citation impact, top 17% 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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 23 citations in OpenAlex.

  1. Guillain-Barré syndrome and influenza vaccines: current evidence.Revista espanola de quimioterapia : publicacion oficial de la Sociedad Espanola de Quimioterapia · 2019
    Pooled it
  2. Large language models for bioinformatics.Quantitative biology (Beijing, China) · 2026
    Review
  3. Article
  4. Article
  5. Article
  6. Gulf War Illness: Unifying Hypothesis for a Continuing Health Problem.International journal of environmental research and public health · 2019
    Review
  7. The ASIA syndrome: basic concepts.Mediterranean journal of rheumatology · 2017
    Review
  8. Article
  9. Article
  10. 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 4 institutions in 1 country.

Peter B McGarveyInnovation Center for Biomedical Informatics, Georgetown University Medical Center, 2115 Wisconsin Ave NW, Suite 110, Washington, DC, 20007, USA. pbm9@georgetown.edu.
Baris E SuzekInnovation Center for Biomedical Informatics, Georgetown University Medical Center, 2115 Wisconsin Ave NW, Suite 110, Washington, DC, 20007, USA. bes23@georgetown.edu.
James N BaraniukDivision of Rheumatology, Immunology and Allergy, Department of Medicine, Georgetown University Medical Center, 3800 Reservoir Road, NW, Washington, DC, 20007, USA. baraniuj@georgetown.edu.
Shruti RaoInnovation Center for Biomedical Informatics, Georgetown University Medical Center, 2115 Wisconsin Ave NW, Suite 110, Washington, DC, 20007, USA. sr879@georgetown.edu.
Brian ConkrightInnovation Center for Biomedical Informatics, Georgetown University Medical Center, 2115 Wisconsin Ave NW, Suite 110, Washington, DC, 20007, USA. btc37@georgetown.edu.
Samir LababidiOffice of Biostatistics and Epidemiology, Center for Biologics Evaluation and Research, US Food and Drug Administration, 10903 New Hampshire Avenue, Silver Spring, MD, 20993, USA. Samir.Lababidi@fda.hhs.gov.
Andrea SutherlandOffice of Biostatistics and Epidemiology, Center for Biologics Evaluation and Research, US Food and Drug Administration, 10903 New Hampshire Avenue, Silver Spring, MD, 20993, USA. asutherl@jhsph.edul.
Richard ForsheeOffice of Biostatistics and Epidemiology, Center for Biologics Evaluation and Research, US Food and Drug Administration, 10903 New Hampshire Avenue, Silver Spring, MD, 20993, USA. Richard.Forshee@fda.hhs.gov.
Subha MadhavanInnovation Center for Biomedical Informatics, Georgetown University Medical Center, 2115 Wisconsin Ave NW, Suite 110, Washington, DC, 20007, USA. sm696@georgetown.edu.
Georgetown University Medical Center · USCenter for Biologics Evaluation and Research · USGeorgetown University · USUnited States Food and Drug Administration · US

Funding

Georgetown University Center of Excellence in Regulatory Science and Innovation (CERSI)U01FD004319 · FDA · GEORGETOWN UNIVERSITY · PI DRETCHEN, KENNETH L, MADHAVAN, SUBHA · 2011 to 2016
$3.8M
FDA HHS 1U01FD004319-01FDA HHS U01 FD004319
6 · The paper itself

Abstract

backgroundNear universal administration of vaccines mandates intense pharmacovigilance for vaccine safety and a stringently low tolerance for adverse events. Reports of autoimmune diseases (AID) following vaccination have been challenging to evaluate given the high rates of vaccination, background incidence of autoimmunity, and low incidence and variable times for onset of AID after vaccinations. In order to identify biologically plausible pathways to adverse autoimmune events of vaccine-related AID, we used a systems biology approach to create a matrix of innate and adaptive immune mechanisms active in specific diseases, responses to vaccine antigens, adjuvants, preservatives and stabilizers, for the most common vaccine-associated AID found in the Vaccine Adverse Event Reporting System.

resultsThis report focuses on Guillain-Barre Syndrome (GBS), Rheumatoid Arthritis (RA), Systemic Lupus Erythematosus (SLE), and Idiopathic (or immune) Thrombocytopenic Purpura (ITP). Multiple curated databases and automated text mining of PubMed literature identified 667 genes associated with RA, 448 with SLE, 49 with ITP and 73 with GBS. While all data sources provided valuable and unique gene associations, text mining using natural language processing (NLP) algorithms provided the most information but required curation to remove incorrect associations. Six genes were associated with all four AIDs. Thirty-three pathways were shared by the four AIDs. Classification of genes into twelve immune system related categories identified more "Th17 T-cell subtype" genes in RA than the other AIDs, and more "Chemokine plus Receptors" genes associated with RA than SLE. Gene networks were visualized and clustered into interconnected modules with specific gene clusters for each AID, including one in RA with ten C-X-C motif chemokines. The intersection of genes associated with GBS, GBS peptide auto-antigens, influenza A infection, and influenza vaccination created a subnetwork of genes that inferred a possible role for the MAPK signaling pathway in influenza vaccine related GBS.

conclusionsResults showing unique and common gene sets, pathways, immune system categories and functional clusters of genes in four autoimmune diseases suggest it is possible to develop molecular classifications of autoimmune and inflammatory events. Combining this information with cellular and other disease responses should greatly aid in the assessment of potential immune-mediated adverse events following vaccination.

Indexed as

Autoimmune DiseasesComputer SimulationInfection ControlModels, ImmunologicalVaccinationVaccinesAdaptive ImmunityHumansInfectionsVaccines

Identifiers

PMID25486901
PMCPMC4266212
OpenAlexW2079060704

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.