Evidence map›Paper›PMID 24297186›Full record

ReviewReviews in endocrine & metabolic disorders2014

Adiponectin signaling in the liver.

Terry P Combs, Errol B Marliss

Abstract readReview
In one paragraph

Review in Reviews in endocrine & metabolic disorders, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 75 papers.

0numbers the graph read from it
0cells of the map it votes in
75citing papers in PubMed
3.1field-weighted citation impact, top 9% 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

75 citing papers in PubMed, 143 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Review
  5. Adipokine in Metabolic Liver Disease: Adipo-Brain-Liver Cross talk.International journal of endocrinology · 2026
    Review
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15 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 2 countries.

Terry P CombsDepartment of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27516, USA, terrycombs@unc.edu.
Errol B Marliss
McGill University · CAUniversity of North Carolina at Chapel Hill · US

Funding

The effects of adiponectin on liver insulin resistanceK01DK075573 · NIDDK · UNIV OF NORTH CAROLINA CHAPEL HILL · PI COMBS, TERRY P. · 2006 to 2008
$344k
CIHR MOP-62889NIDDK NIH HHS DK075573NIDDK NIH HHS K01 DK075573
6 · The paper itself

Abstract

High glucose production contributes to fed and fasted hyperglycemia in Type 1 Diabetes (T1D) and Type 2 Diabetes (T2D). The breakdown of the adiponectin signaling pathway in T1D and the reduction of circulating adiponectin in T2D contribute to this abnormal increase in glucose production. Sufficient amounts of insulin could compensate for the loss of adiponectin signaling in T1D and T2D and reduce hyperglycemia. However, the combination of low adiponectin signaling and high insulin resembles an insulin resistance state associated with cardiovascular disease, fatty liver disease and decreased life expectancy. The future development of "adiponectin sensitizers", medications that correct the deficiency in adiponectin signaling, could restore the metabolic balance in T1D and T2D and reduce the need for insulin. This article reviews the adiponectin signaling pathway in the liver through T-cadherin, AdipoR1, AdipoR2, AMPK, ceramidase activity, APPL1 and the recently discovered Suppressor Of Glucose from Autophagy (SOGA).

Indexed as

Adaptor Proteins, Signal TransducingAdiponectinAMP-Activated Protein KinasesAutophagyCadherinsDiabetes Mellitus, Type 2GlucoseHumansInsulinLiverNon-alcoholic Fatty Liver DiseaseReceptors, AdiponectinSignal TransductionAdaptor Proteins, Signal TransducingAdiponectinAMP-Activated Protein KinasesCadherinsGlucoseInsulinReceptors, Adiponectin

Identifiers

PMID24297186
PMCPMC4152934
OpenAlexW1988540453

What OpenQuestion holds

Textmetadata
LicenceTDM
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.