Evidence map›Paper›PMID 31197253›Full record

ReviewNature reviews. Rheumatology2019

The immunobiology of MIF: function, genetics and prospects for precision medicine.

Insoo Kang, Richard Bucala

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Rheumatology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 159 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
159citing papers in PubMed, 1 pooled it
8.5field-weighted citation impact, top 2% 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

159 citing papers in PubMed, 1 synthesis or guideline pooled it, 258 citations in OpenAlex.

  1. Pooled it
  2. Trial
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  4. Article
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  6. Adeno-Associated Virus Gene Therapy for Spinal Muscular Atrophy Induces Hepatotoxicity via Cytokine and Macrophage Activation.Liver international : official journal of the International Association for the Study of the Liver · 2026
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  12. CXCL16-driven CD4Journal for immunotherapy of cancer · 2026
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  15. Review
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99 more citing papers are in PubMed but not listed here.

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

2 authors at 1 institution in 1 country.

Insoo KangSection of Rheumatology, Allergy, and Immunology, Department of Internal Medicine, Yale School of Medicine, New Haven, CT, USA.
Richard BucalaSection of Rheumatology, Allergy, and Immunology, Department of Internal Medicine, Yale School of Medicine, New Haven, CT, USA. richard.bucala@yale.edu.ORCID http://orcid.org/0000-0001-5783-5736
Yale University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The role of macrophage migration inhibitory factor (MIF) in autoimmunity is underscored by data showing that common functional polymorphisms in MIF are associated with disease susceptibility or clinical severity. MIF can regulate glucocorticoid-mediated immunosuppression and has a prominent function in cell survival signalling. Further specific functions of MIF are now being defined in different autoimmune diseases and MIF-targeted biologic therapeutics are in early-stage clinical trials. The unique structure of MIF is also directing the development of small-molecule MIF antagonists. Together, these efforts could provide a means of selectively intervening in pathogenesis and overcoming MIF-related genetic susceptibility to many rheumatic diseases.

Indexed as

AutoimmunityDisease ManagementGenetic Predisposition to DiseasePolymorphism, GeneticAutoimmune DiseasesHumansIntramolecular OxidoreductasesMacrophage Migration-Inhibitory FactorsPrecision MedicineIntramolecular OxidoreductasesMacrophage Migration-Inhibitory FactorsMIF protein, human

Identifiers

PMID31197253
OpenAlexW2951252030

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.