Evidence map›Paper›PMID 34274528›Full record

ReviewMolecular metabolism2021

Insulin action at a molecular level - 100 years of progress.

Morris F White, C Ronald Kahn

Open access · goldAbstract readHistorical ArticleReview
In one paragraph

Review in Molecular metabolism, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 118 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
118citing papers in PubMed, 2 pooled it
11.9field-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

118 citing papers in PubMed, 2 syntheses or guidelines pooled it, 189 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Article
  5. Review
  6. Article
  7. Review
  8. Article
  9. The Complex Relation of Branched-Chain Amino Acids and Inflammation in the Obesity and Diabetes Context.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2026
    Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Expanding the understanding of insulin resistance in brain and periphery.Trends in endocrinology and metabolism: TEM · 2026
    Review
  18. Review
  19. Article
  20. Article

58 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 2 institutions in 1 country.

Morris F WhiteBoston Children's Hospital and Harvard Medical School, Boston, MA, 02215, USA. Electronic address: morris.white@childrens.harvard.edu.
C Ronald KahnJoslin Diabetes Center, Harvard Medical School, Boston, MA, 02215, USA. Electronic address: C.Ronald.Kahn@joslin.harvard.edu.
Boston Children's Hospital · USJoslin Diabetes Center · US

Funding

SPECIAL ASSAY COREP30DK036836 · NIDDK · JOSLIN DIABETES CENTER · PI ROHIT N. KULKARNI · 1986 to 2026
$50.5M
INSULIN RECEPTOR STRUCTURE AND TURNOVERR37DK031036 · NIDDK · JOSLIN DIABETES CENTER · PI KAHN, C RONALD · 2000 to 2019
$12.9M
CAREER DEVELOPMENT IN DIABETES RESEARCH FOR PEDIATRIC ENDOCRINOLOGISTSK12DK094721 · NIDDK · BOSTON CHILDREN'S HOSPITAL · PI LAFFEL, LORI M, WHITE, MORRIS F. · 2011 to 2021
$6.3M
The Insulin Receptor and Its Signaling MechanismsR01DK031036 · NIDDK · JOSLIN DIABETES CENTER · PI C RONALD KAHN · 1986 to 2026
$4.2M
Metabolic Crosstalk During Hepatic Insulin ResistanceR01DK098655 · NIDDK · BOSTON CHILDREN'S HOSPITAL · PI WHITE, MORRIS F. · 2013 to 2020
$4.0M
Regulation of hippocampal function by central and peripheral IRS signalingR01AG067913 · NIA · BOSTON CHILDREN'S HOSPITAL · PI WHITE, MORRIS F. · 2020 to 2024
$3.1M
Alterations in Post-Receptor Insulin Signaling in Diabetes and Insulin ResistanceR01DK128429 · NIDDK · JOSLIN DIABETES CENTER · PI KAHN, C RONALD · 2021 to 2025
$2.9M
Interaction between genes, environment, the microbiome and metabolome in type 2 diabetes and metabolic syndromeR01DK121967 · NIDDK · JOSLIN DIABETES CENTER · PI KAHN, C RONALD · 2020 to 2024
$2.7M
NIA NIH HHS R01 AG067913NIDDK NIH HHS K12 DK094721NIDDK NIH HHS P30 DK036836NIDDK NIH HHS R01 DK031036NIDDK NIH HHS R01 DK098655NIDDK NIH HHS R01 DK121967NIDDK NIH HHS R01 DK128429NIDDK NIH HHS R37 DK031036
6 · The paper itself

Abstract

The discovery of insulin 100 years ago and its application to the treatment of human disease in the years since have marked a major turning point in the history of medicine. The availability of purified insulin allowed for the establishment of its physiological role in the regulation of blood glucose and ketones, the determination of its amino acid sequence, and the solving of its structure. Over the last 50 years, the function of insulin has been applied into the discovery of the insulin receptor and its signaling cascade to reveal the role of impaired insulin signaling-or resistance-in the progression of type 2 diabetes. It has also become clear that insulin signaling can impact not only classical insulin-sensitive tissues, but all tissues of the body, and that in many of these tissues the insulin signaling cascade regulates unexpected physiological functions. Despite these remarkable advances, much remains to be learned about both insulin signaling and how to use this molecular knowledge to advance the treatment of type 2 diabetes and other insulin-resistant states.

Indexed as

Insulin ResistanceAdipose TissueAnimalsBlood GlucoseBrainDiabetes Mellitus, Type 2Disease Models, AnimalEndothelium, VascularFeedback, PhysiologicalHistory, 20th CenturyHistory, 21st CenturyHumansInsulinInsulin-Secreting CellsLiverMuscle, SkeletalBlood GlucoseInsulinReceptor, InsulinInsulinInsulin receptorInsulin resistanceInsulin signal transduction

Identifiers

PMID34274528
PMCPMC8551477
OpenAlexW3183683902

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.