Evidence map›Paper›PMID 28973479›Full record

ReviewEndocrine reviews2017

Insulin Receptor Isoforms in Physiology and Disease: An Updated View.

Antonino Belfiore, Roberta Malaguarnera, Veronica Vella, Michael C Lawrence, Laura Sciacca, Francesco Frasca, Andrea Morrione, Riccardo Vigneri

Open access · hybridAbstract readReview
In one paragraph

Review in Endocrine reviews, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 220 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
220citing papers in PubMed, 1 pooled it
12.3field-weighted citation impact, top 1% 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

220 citing papers in PubMed, 1 synthesis or guideline pooled it, 357 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Review
  4. iScience · 2026
    Article
  5. Antibody-Based Biologics for CNS Disorders.Antibodies (Basel, Switzerland) · 2026
    Review
  6. Review
  7. Article
  8. Review
  9. Review
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Endocrine Implications of Congenital Disorders of GlycosylationJournal of clinical research in pediatric endocrinology · 2026
    Review
  19. Review
  20. Article

160 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

8 authors at 6 institutions in 3 countries.

Antonino BelfioreEndocrinology, Department of Health Sciences, University Magna Graecia of Catanzaro, 88100 Catanzaro, Italy.
Roberta MalaguarneraEndocrinology, Department of Health Sciences, University Magna Graecia of Catanzaro, 88100 Catanzaro, Italy.
Veronica VellaSchool of Human and Social Sciences, University Kore of Enna, via della Cooperazione, 94100 Enna, Italy.
Michael C LawrenceStructural Biology Division, Walter and Eliza Hall Institute of Medical Research, Parkville, Victoria 3052, Australia.
Laura SciaccaEndocrinology, Department of Clinical and Experimental Medicine, University of Catania, Garibaldi-Nesima Hospital, 95122 Catania, Italy.
Francesco FrascaEndocrinology, Department of Clinical and Experimental Medicine, University of Catania, Garibaldi-Nesima Hospital, 95122 Catania, Italy.
Andrea MorrioneDepartment of Urology and Biology of Prostate Cancer Program, Sidney Kimmel Cancer Center, Thomas Jefferson University, Philadelphia, Pennsylvania 19107.
Riccardo VigneriEndocrinology, Department of Clinical and Experimental Medicine, University of Catania, Garibaldi-Nesima Hospital, 95122 Catania, Italy.
Magna Graecia University · ITUniversity of Catania · ITOspedale Garibaldi · ITThomas Jefferson University · USUniversità degli Studi di Enna Kore · ITUniversity of Melbourne · AU

Funding

Progranulin signaling in bladder cancerR01CA164462 · NCI · THOMAS JEFFERSON UNIVERSITY · PI IOZZO, RENATO V., MORRIONE, ANDREA · 2012 to 2016
$1.6M
NCI NIH HHS R01 CA164462
6 · The paper itself

Abstract

The insulin receptor (IR) gene undergoes differential splicing that generates two IR isoforms, IR-A and IR-B. The physiological roles of IR isoforms are incompletely understood and appear to be determined by their different binding affinities for insulin-like growth factors (IGFs), particularly for IGF-2. Predominant roles of IR-A in prenatal growth and development and of IR-B in metabolic regulation are well established. However, emerging evidence indicates that the differential expression of IR isoforms may also help explain the diversification of insulin and IGF signaling and actions in various organs and tissues by involving not only different ligand-binding affinities but also different membrane partitioning and trafficking and possibly different abilities to interact with a variety of molecular partners. Of note, dysregulation of the IR-A/IR-B ratio is associated with insulin resistance, aging, and increased proliferative activity of normal and neoplastic tissues and appears to sustain detrimental effects. This review discusses novel information that has generated remarkable progress in our understanding of the physiology of IR isoforms and their role in disease. We also focus on novel IR ligands and modulators that should now be considered as an important strategy for better and safer treatment of diabetes and cancer and possibly other IR-related diseases.

Indexed as

AgingAlternative SplicingCell ProliferationDiabetes MellitusHumansInsulinInsulin-Like Growth Factor IInsulin-Like Growth Factor IIInsulin ResistanceMicroRNAsMolecular StructureNeoplasmsProinsulinProtein IsoformsReceptor, InsulinSignal TransductionInsulinInsulin-Like Growth Factor IInsulin-Like Growth Factor IIMicroRNAsProinsulinProtein IsoformsReceptor, InsulinSomatomedins

Identifiers

PMID28973479
PMCPMC5629070
OpenAlexW2715761994

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.