Evidence map›Paper›PMID 21926103›Full record

ArticleBrain : a journal of neurology2011

The identification of gene expression profiles associated with progression of human diabetic neuropathy.

Junguk Hur, Kelli A Sullivan, Manjusha Pande, Yu Hong, Anders A F Sima, Hosagrahar V Jagadish, Matthias Kretzler, Eva L Feldman

Open access · bronzeAbstract read
In one paragraph

Article in Brain : a journal of neurology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 102 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
102citing papers in PubMed, 2 pooled it
5.9field-weighted citation impact, top 3% 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

102 citing papers in PubMed, 2 syntheses or guidelines pooled it, 157 citations in OpenAlex.

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  14. Diabetic neuropathy: cutting-edge research and future directions.Signal transduction and targeted therapy · 2025
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42 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 2 institutions in 2 countries.

Junguk HurBioinformatics Program, University of Michigan, Ann Arbor, MI 48109, USA.
Kelli A Sullivan
Manjusha Pande
Yu Hong
Anders A F Sima
Hosagrahar V Jagadish
Matthias Kretzler
Eva L Feldman
University of Michigan · USWayne State University · US

Funding

PUBLIC HEALTH DEMONSTRATIONP60DK020572 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI MYERS, MARTIN G · 1985 to 2012
$26.5M
Nation Center- Integrative Biomedical Informatics(RMI)U54DA021519 · NIDA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI ATHEY, BRIAN DAVID · 2005 to 2010
$21.3M
Integrated Systems Biology Approach to Diabetic Microvascular ComplicationsR24DK082841 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI ABCOUWER, STEVEN F, BROSIUS, FRANK C · 2008 to 2020
$13.1M
University of Michigan O'Brien Kidney Translational Core CenterP30DK081943 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI PENNATHUR, SUBRAMANIAM · 2008 to 2022
$12.9M
Mitochondrial SOD as a Target for Diabetic NeuropathyU01DK076160 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI FELDMAN, EVA LUCILLE · 2006 to 2010
$1.2M
Biomarkers in Diabetic NeuropathyRC1NS068182 · NINDS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI FELDMAN, EVA LUCILLE · 2009 to 2010
$519k
NIDA NIH HHS U54-DA021519NIDDK NIH HHS DK020572NIDDK NIH HHS P30-DK081943NIDDK NIH HHS R24 DK082841NIDDK NIH HHS R24-DK082841-01NIDDK NIH HHS U01-DK076160NINDS NIH HHS RC1-NS068182-01
6 · The paper itself

Abstract

Diabetic neuropathy is a common complication of diabetes. While multiple pathways are implicated in the pathophysiology of diabetic neuropathy, there are no specific treatments and no means to predict diabetic neuropathy onset or progression. Here, we identify gene expression signatures related to diabetic neuropathy and develop computational classification models of diabetic neuropathy progression. Microarray experiments were performed on 50 samples of human sural nerves collected during a 52-week clinical trial. A series of bioinformatics analyses identified differentially expressed genes and their networks and biological pathways potentially responsible for the progression of diabetic neuropathy. We identified 532 differentially expressed genes between patient samples with progressing or non-progressing diabetic neuropathy, and found these were functionally enriched in pathways involving inflammatory responses and lipid metabolism. A literature-derived co-citation network of the differentially expressed genes revealed gene subnetworks centred on apolipoprotein E, jun, leptin, serpin peptidase inhibitor E type 1 and peroxisome proliferator-activated receptor gamma. The differentially expressed genes were used to classify a test set of patients with regard to diabetic neuropathy progression. Ridge regression models containing 14 differentially expressed genes correctly classified the progression status of 92% of patients (P < 0.001). To our knowledge, this is the first study to identify transcriptional changes associated with diabetic neuropathy progression in human sural nerve biopsies and describe their potential utility in classifying diabetic neuropathy. Our results identifying the unique gene signature of patients with progressive diabetic neuropathy will facilitate the development of new mechanism-based diagnostics and therapies.

Indexed as

Disease ProgressionAdolescentAdultAgedAged, 80 and overDiabetic NeuropathiesDown-RegulationFemaleGene Expression ProfilingHumansMaleMiddle AgedSural NerveUp-Regulation

Identifiers

PMID21926103
PMCPMC3212712
OpenAlexW2018707257

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.