Evidence map›Paper›PMID 22245457›Full record

ReviewTrends in endocrinology and metabolism: TEM2012

Insulin resistance in the nervous system.

Bhumsoo Kim, Eva L Feldman

Open access · greenAbstract readReview
In one paragraph

Review in Trends in endocrinology and metabolism: TEM, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 153 papers.

0numbers the graph read from it
0cells of the map it votes in
153citing papers in PubMed
14.4field-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

153 citing papers in PubMed, 323 citations in OpenAlex.

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  16. Parkinson's disease and glucose metabolism impairment.Translational neurodegeneration · 2025
    Review
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93 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.

Bhumsoo KimUniversity of Michigan, Department of Neurology, Ann Arbor, MI 48109, USA. bhumsoo@med.umich.edu
Eva L Feldman
University of Michigan–Ann Arbor · US

Funding

Lesch-Nyhan Disease: A Model for Complex Genetic, Proteomic & Metabolic PathwaysR24DK082840 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI FRIEDMANN, THEODORE · 2008 to 2012
$7.3M
Tissue-Specific Metabolic Reprogramming in Diabetic ComplicationsDP3DK094292 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI BROSIUS, FRANK C, BURANT, CHARLES F · 2011 to 2011
$5.5M
Mitochondrial SOD as a Target for Diabetic NeuropathyU01DK076160 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI FELDMAN, EVA LUCILLE · 2006 to 2010
$1.2M
NIDDK NIH HHS DP3 DK091292NIDDK NIH HHS DP3 DK094292NIDDK NIH HHS R24 DK082840NIDDK NIH HHS U01 DK076160
6 · The paper itself

Abstract

Metabolic syndrome is a cluster of cardiovascular risk factors including obesity, diabetes and dyslipidemia. Insulin resistance (IR) is at the core of metabolic syndrome. In adipose tissue and muscle, IR results in decreased insulin signaling, primarily affecting downstream phosphatidylinositol 3-kinase (PI3K)/Akt signaling. It was recently proposed that neurons can develop hyperinsulinemia-induced IR, which in turn results in injury to the peripheral and central nervous systems and is probably pathogenic in common neurological disorders such as diabetic neuropathy and Alzheimer's disease (AD). This review presents evidence indicating that, similarly to insulin-dependent metabolically active tissues such as fat and muscle, neurons also develop IR and thus cannot respond to the neurotrophic properties of insulin, resulting in neuronal injury, subsequent dysfunction and disease states.

Indexed as

Insulin ResistanceAnimalsCentral Nervous SystemDiabetic NeuropathiesHumansMetabolic SyndromeReceptor, InsulinSignal TransductionReceptor, Insulin

Identifiers

PMID22245457
PMCPMC3392648
OpenAlexW1972703677

What Socratic 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 Socratic graph.