Evidence map›Paper›PMID 27345421›Full record

ArticleCell metabolism2016

Integrated Network Analysis Reveals an Association between Plasma Mannose Levels and Insulin Resistance.

Sunjae Lee, Cheng Zhang, Murat Kilicarslan, Brian D Piening, Elias Bjornson, Björn M Hallström, Albert K Groen, Ele Ferrannini, Markku Laakso, Michael Snyder and 7 more

Open access · bronzeAbstract read
In one paragraph

Article in Cell metabolism, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 94 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
94citing papers in PubMed, 3 pooled it
11.9field-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

94 citing papers in PubMed, 3 syntheses or guidelines pooled it, 168 citations in OpenAlex.

  1. Pooled it
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  16. Longitudinal big biological data in the AI era.Molecular systems biology · 2025
    Review
  17. Article
  18. Article
  19. Review
  20. Genome-scale models in human metabologenomics.Nature reviews. Genetics · 2025
    Review

34 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

17 authors at 9 institutions in 6 countries.

Sunjae LeeScience for Life Laboratory, KTH-Royal Institute of Technology, 171 21 Stockholm, Sweden.
Cheng ZhangScience for Life Laboratory, KTH-Royal Institute of Technology, 171 21 Stockholm, Sweden.
Murat KilicarslanDepartment of Endocrinology and Metabolism, University of Amsterdam, Academic Medical Center, 1105 Amsterdam, the Netherlands.
Brian D PieningDepartment of Genetics, Stanford University, 300 Pasteur Drive, M-344, Stanford, CA 94305, USA.
Elias BjornsonDepartment of Biology and Biological Engineering, Chalmers University of Technology, 412 96 Gothenburg, Sweden; Department of Molecular and Clinical Medicine, University of Gothenburg, 405 30 Gothenburg, Sweden.
Björn M HallströmScience for Life Laboratory, KTH-Royal Institute of Technology, 171 21 Stockholm, Sweden.
Albert K GroenDepartment of Pediatrics, Center for Liver Digestive and Metabolic Diseases, University of Groningen, University Medical Center Groningen, 9713 Groningen, the Netherlands.
Ele FerranniniC.N.R. Institute of Clinical Physiology, 56124 Pisa, Italy.
Markku LaaksoInstitute of Clinical Medicine, Internal Medicine, University of Eastern Finland and Kuopio University Hospital, 70210 Kuopio, Finland.
Michael SnyderDepartment of Genetics, Stanford University, 300 Pasteur Drive, M-344, Stanford, CA 94305, USA.
Matthias BlüherDepartment of Medicine, University of Leipzig, 04109 Leipzig, Germany.
Mathias UhlenScience for Life Laboratory, KTH-Royal Institute of Technology, 171 21 Stockholm, Sweden.
Jens NielsenScience for Life Laboratory, KTH-Royal Institute of Technology, 171 21 Stockholm, Sweden; Department of Biology and Biological Engineering, Chalmers University of Technology, 412 96 Gothenburg, Sweden.
Ulf SmithDepartment of Molecular and Clinical Medicine, University of Gothenburg, 405 30 Gothenburg, Sweden; Lundberg Laboratory for Diabetes Research, Sahlgrenska Academy at the University of Gothenburg, 405 30 Gothenburg, Sweden.
Mireille J SerlieDepartment of Endocrinology and Metabolism, University of Amsterdam, Academic Medical Center, 1105 Amsterdam, the Netherlands.
Jan BorenDepartment of Molecular and Clinical Medicine, University of Gothenburg, 405 30 Gothenburg, Sweden.
Adil MardinogluScience for Life Laboratory, KTH-Royal Institute of Technology, 171 21 Stockholm, Sweden; Department of Biology and Biological Engineering, Chalmers University of Technology, 412 96 Gothenburg, Sweden. Electronic address: adilm@scilifelab.se.
Science for Life Laboratory · SEUniversity of Gothenburg · SEKTH Royal Institute of Technology · SEStanford University · USUniversity of Amsterdam · NLIstituto di Fisiologia Clinica · ITLeipzig University · DEUniversity Medical Center Groningen · NLUniversity of Eastern Finland · FI

Funding

T32 Training Program in Mechanisms and Innovation in Vascular DiseaseT32HL098049 · NHLBI · STANFORD UNIVERSITY · PI Nicholas James Leeper, Philip S Tsao · 2010 to 2026
$6.3M
Personal omics profiling of the progression to diabetes mellitus type 2F32DK100072 · NIDDK · STANFORD UNIVERSITY · PI PIENING, BRIAN DONALD · 2014 to 2015
$102k
NHLBI NIH HHS T32 HL098049NIDDK NIH HHS F32 DK100072
6 · The paper itself

Abstract

To investigate the biological processes that are altered in obese subjects, we generated cell-specific integrated networks (INs) by merging genome-scale metabolic, transcriptional regulatory and protein-protein interaction networks. We performed genome-wide transcriptomics analysis to determine the global gene expression changes in the liver and three adipose tissues from obese subjects undergoing bariatric surgery and integrated these data into the cell-specific INs. We found dysregulations in mannose metabolism in obese subjects and validated our predictions by detecting mannose levels in the plasma of the lean and obese subjects. We observed significant correlations between plasma mannose levels, BMI, and insulin resistance (IR). We also measured plasma mannose levels of the subjects in two additional different cohorts and observed that an increased plasma mannose level was associated with IR and insulin secretion. We finally identified mannose as one of the best plasma metabolites in explaining the variance in obesity-independent IR.

Indexed as

Gene Regulatory NetworksInsulin ResistanceMetabolic Networks and PathwaysProtein Interaction MapsAdultBariatric SurgeryCase-Control StudiesFemaleFructoseGene Expression ProfilingHumansInsulinInsulin SecretionMaleMannoseObesityFructoseInsulinMannosegenome-scale metabolic modelsinsulin resistancemannoseobesityprotein-protein interaction networkstranscriptional regulatory networks

Identifiers

PMID27345421
PMCPMC6666317
OpenAlexW2465888413

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.