Evidence map›Paper›PMID 25018645›Full record

ReviewDiabetes, metabolic syndrome and obesity : targets and therapy2014

AMPK activation: a therapeutic target for type 2 diabetes?

Kimberly A Coughlan, Rudy J Valentine, Neil B Ruderman, Asish K Saha

Open access · goldAbstract readReview
In one paragraph

Review in Diabetes, metabolic syndrome and obesity : targets and therapy, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 202 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
202citing papers in PubMed, 3 pooled it
16.8field-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

202 citing papers in PubMed, 3 syntheses or guidelines pooled it, 429 citations in OpenAlex.

  1. Molecules (Basel, Switzerland) · 2024
    Pooled it
  2. Pooled it
  3. Effects ofInternational journal of environmental research and public health · 2019
    Pooled it
  4. Trial
  5. Trial
  6. Long-term prevalence and predictors of urinary incontinence among women in the Diabetes Prevention Program Outcomes Study.International journal of urology : official journal of the Japanese Urological Association · 2015 · on this map
    Trial
  7. Metformin and renal dosimetry in patients undergoing [European journal of nuclear medicine and molecular imaging · 2026
    Article
  8. Review
  9. Review
  10. Prediabetes in children and adolescents: what do we need to know?Annals of pediatric endocrinology & metabolism · 2026
    Article
  11. Review
  12. Review
  13. Review
  14. Article
  15. Review
  16. ADMET & DMPK · 2026
    Review
  17. Review
  18. Article
  19. Article
  20. Review

142 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

4 authors at 1 institution in 1 country.

Kimberly A CoughlanEndocrinology and Diabetes, Department of Medicine, Boston University Medical Center, Boston, MA, USA.
Rudy J ValentineEndocrinology and Diabetes, Department of Medicine, Boston University Medical Center, Boston, MA, USA.
Neil B RudermanEndocrinology and Diabetes, Department of Medicine, Boston University Medical Center, Boston, MA, USA.
Asish K SahaEndocrinology and Diabetes, Department of Medicine, Boston University Medical Center, Boston, MA, USA.
Boston Medical Center · US

Funding

Multidisciplinary Training in Cardiovascular ResearchT32HL007224 · NHLBI · BOSTON UNIVERSITY MEDICAL CAMPUS · PI HAMBURG, NAOMI MIRIAM, WAINFORD, RICHARD DAVID · 1985 to 2020
$12.3M
TRAINING IN BIOMOLECULAR PHARMACOLOGYT32GM008541 · NIGMS · BOSTON UNIVERSITY MEDICAL CAMPUS · PI FARB, DAVID H · 1997 to 2022
$5.2M
The AMPK/SIRT1 Partnershipand Its Biological RelevanceR01DK019514 · NIDDK · BOSTON UNIVERSITY MEDICAL CENTER HOSP · PI RUDERMAN, NEIL B · 1986 to 2015
$4.9M
AMPK, SIRT1 and mTOR:Mediators of Nutrient ExcessR01DK067509 · NIDDK · BOSTON MEDICAL CENTER · PI RUDERMAN, NEIL B · 2006 to 2014
$2.7M
NHLBI NIH HHS T32 HL007224NIDDK NIH HHS R01 DK019514NIDDK NIH HHS R01 DK067509NIGMS NIH HHS T32 GM008541
6 · The paper itself

Abstract

Type 2 diabetes (T2D) is a metabolic disease characterized by insulin resistance, β-cell dysfunction, and elevated hepatic glucose output. Over 350 million people worldwide have T2D, and the International Diabetes Federation projects that this number will increase to nearly 600 million by 2035. There is a great need for more effective treatments for maintaining glucose homeostasis and improving insulin sensitivity. AMP-activated protein kinase (AMPK) is an evolutionarily conserved serine/threonine kinase whose activation elicits insulin-sensitizing effects, making it an ideal therapeutic target for T2D. AMPK is an energy-sensing enzyme that is activated when cellular energy levels are low, and it signals to stimulate glucose uptake in skeletal muscles, fatty acid oxidation in adipose (and other) tissues, and reduces hepatic glucose production. There is substantial evidence suggesting that AMPK is dysregulated in animals and humans with metabolic syndrome or T2D, and that AMPK activation (physiological or pharmacological) can improve insulin sensitivity and metabolic health. Numerous pharmacological agents, natural compounds, and hormones are known to activate AMPK, either directly or indirectly - some of which (for example, metformin and thiazolidinediones) are currently used to treat T2D. This paper will review the regulation of the AMPK pathway and its role in T2D, some of the known AMPK activators and their mechanisms of action, and the potential for future improvements in targeting AMPK for the treatment of T2D.

Indexed as

adenosine monophosphate-activated protein kinasedrug therapyinsulin resistancetype 2 diabetes

Identifiers

PMID25018645
PMCPMC4075959
OpenAlexW1969976773

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.