Evidence map›Paper›PMID 23236292›Full record

ArticlePLoS genetics2012

Integrative analysis of a cross-loci regulation network identifies App as a gene regulating insulin secretion from pancreatic islets.

Zhidong Tu, Mark P Keller, Chunsheng Zhang, Mary E Rabaglia, Danielle M Greenawalt, Xia Yang, I-Ming Wang, Hongyue Dai, Matthew D Bruss, Pek Y Lum and 7 more

Open access · goldAbstract read
In one paragraph

Article in PLoS genetics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed
2.6field-weighted citation impact, top 10% 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

43 citing papers in PubMed, 77 citations in OpenAlex.

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  11. Peripheral Aβ acts as a negative modulator of insulin secretion.Proceedings of the National Academy of Sciences of the United States of America · 2022
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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

17 authors at 6 institutions in 1 country.

Zhidong TuInstitute of Genomics and Multiscale Biology, Mount Sinai School of Medicine, New York, New York, United States of America.
Mark P Keller
Chunsheng Zhang
Mary E Rabaglia
Danielle M Greenawalt
Xia Yang
I-Ming Wang
Hongyue Dai
Matthew D Bruss
Pek Y Lum
Yun-Ping Zhou
Daniel M Kemp
Christina Kendziorski
Brian S Yandell
Alan D Attie
Eric E Schadt
Jun Zhu
Merck & Co., Inc., Rahway, NJ, USA (United States) · USUniversity of Wisconsin–Madison · USIcahn School of Medicine at Mount Sinai · USPacific Biosciences (United States) · USRosetta Stone (United States) · USUniversity of California, Los Angeles · US

Funding

TRAINING IN NUTRITIONT32DK007665 · NIDDK · UNIVERSITY OF WISCONSIN-MADISON · PI GUY E GROBLEWSKI, Chi- Liang Eric Yen · 1993 to 2026
$9.2M
Genetic Mapping of Networks Associated with Beta-cell D*R01DK066369 · NIDDK · UNIVERSITY OF WISCONSIN-MADISON · PI ATTIE, ALAN D · 2004 to 2014
$6.3M
The Genetics of Obesity and DiabetesR01DK058037 · NIDDK · UNIVERSITY OF WISCONSIN-MADISON · PI ATTIE, ALAN D · 2001 to 2013
$5.7M
Statistical methods for spatial RNA sequencing experimentsR01GM102756 · NIGMS · UNIVERSITY OF WISCONSIN-MADISON · PI KENDZIORSKI, CHRISTINA · 2012 to 2024
$3.8M
Bayesian Methods for Mapping Complex Epistatic GenesR01GM069430 · NIGMS · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI YI, NENGJUN · 2005 to 2013
$2.3M
NK CELL ADCC AND CD4+ CELL APOPTOSIS IN HIV+ TISSUESR01DK056593 · NIDDK · ROGER WILLIAMS HOSPITAL · PI SKOWRON, GAIL · 2000 to 2003
$1.4M
Epistatic and Cross Tissue Analysis for Human Gene Expression TraitsR01MH090948 · NIMH · HARVARD UNIVERSITY · PI LIU, JUN S · 2010 to 2011
$588k
NIDDK NIH HHS DK56593NIDDK NIH HHS DK58037NIDDK NIH HHS DK66369NIDDK NIH HHS R01 DK056593NIDDK NIH HHS R01 DK058037NIDDK NIH HHS R01 DK066369NIDDK NIH HHS T32 DK007665NIGMS NIH HHS GM102756NIGMS NIH HHS GM69430NIGMS NIH HHS R01 GM069430NIGMS NIH HHS R01 GM102756NIMH NIH HHS MH090948NIMH NIH HHS R01 MH090948PHS HHS PA02110
6 · The paper itself

Abstract

Complex diseases result from molecular changes induced by multiple genetic factors and the environment. To derive a systems view of how genetic loci interact in the context of tissue-specific molecular networks, we constructed an F2 intercross comprised of >500 mice from diabetes-resistant (B6) and diabetes-susceptible (BTBR) mouse strains made genetically obese by the Leptin(ob/ob) mutation (Lep(ob)). High-density genotypes, diabetes-related clinical traits, and whole-transcriptome expression profiling in five tissues (white adipose, liver, pancreatic islets, hypothalamus, and gastrocnemius muscle) were determined for all mice. We performed an integrative analysis to investigate the inter-relationship among genetic factors, expression traits, and plasma insulin, a hallmark diabetes trait. Among five tissues under study, there are extensive protein-protein interactions between genes responding to different loci in adipose and pancreatic islets that potentially jointly participated in the regulation of plasma insulin. We developed a novel ranking scheme based on cross-loci protein-protein network topology and gene expression to assess each gene's potential to regulate plasma insulin. Unique candidate genes were identified in adipose tissue and islets. In islets, the Alzheimer's gene App was identified as a top candidate regulator. Islets from 17-week-old, but not 10-week-old, App knockout mice showed increased insulin secretion in response to glucose or a membrane-permeant cAMP analog, in agreement with the predictions of the network model. Our result provides a novel hypothesis on the mechanism for the connection between two aging-related diseases: Alzheimer's disease and type 2 diabetes.

Indexed as

Alzheimer DiseaseAmyloid Precursor Protein SecretasesDiabetes Mellitus, ExperimentalDiabetes Mellitus, Type 2InsulinAdipose TissueAnimalsGene Expression ProfilingGene Regulatory NetworksGlucoseHumansInsulin SecretionIslets of LangerhansLeptinMiceMice, KnockoutAmyloid Precursor Protein SecretasesGlucoseInsulinLeptin

Identifiers

PMID23236292
PMCPMC3516550
OpenAlexW2136936290

What OpenQuestion holds

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LicenceCC BY
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.