Evidence map›Paper›PMID 24771483›Full record

ReviewImmunologic research2014

Development of therapies for autoimmune disease at Stanford: a tale of multiple shots and one goal.

Lawrence Steinman

Abstract readBiographyHistorical ArticlePortrait
PubMed Publisher
In one paragraph

Review in Immunologic research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.3field-weighted citation impact, top 20% 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

4 citing papers in PubMed, 8 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. 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.

Lawrence SteinmanDepartments of Pediatrics, Neurology and Neurological Sciences, Stanford University, Stanford, CA, USA, steinman@stanford.edu.
Stanford University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The title of this contribution on Immunology at Stanford is purposely ambiguous. One goal is the development of safe and effective therapy for autoimmune diseases. Another definition of goal is to score, and this would ultimately mean the development of an approved drug. Indeed, the efforts in my four decades at Stanford, have included the discovery and subsequent development of a monoclonal antibody to block homing to the inflamed brain, leading to natalizumab, an approved therapeutic for two autoimmune diseases: relapsing-remitting MS and for inflammatory bowel disease. Multiple attempts to develop new therapies for autoimmune disease are described here: The trimolecular complex and the immune synapse serve as one major set of targets, with attempts to inhibit particular major histocompatibility molecules, the variable regions of the T cell receptor, and CD4. Other approaches focusing on antigen-specific tolerance include ongoing attempts with tolerizing DNA vaccines in type 1 diabetes. Finally, the repurposing of popular drugs approved for other indications, including statins and inhibitors of angiotensin converting enzyme is under development and showing promise in the clinic, particularly for secondary progressive multiple sclerosis. The milieu within Stanford Immunology has helped to nurture these efforts to translate discoveries in immunology and to take them from bench to bedside.

Indexed as

Autoimmune DiseasesResearchSchools, MedicalAngiotensin-Converting Enzyme InhibitorsAnimalsAntibodies, MonoclonalCaliforniaHistory, 20th CenturyHistory, 21st CenturyHumansImmune ToleranceImmunityImmunological SynapsesAngiotensin-Converting Enzyme InhibitorsAntibodies, Monoclonal

Identifiers

PMID24771483
OpenAlexW2083566354

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.