Evidence map›Paper›PMID 28343791›Full record

ArticleJournal of diabetes and its complications2017

Androgen receptor-deficient islet β-cells exhibit alteration in genetic markers of insulin secretion and inflammation. A transcriptome analysis in the male mouse.

Weiwei Xu, Tianhua Niu, Beibei Xu, Guadalupe Navarro, Matthew J Schipma, Franck Mauvais-Jarvis

Abstract read
In one paragraph

Article in Journal of diabetes and its complications, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
3.2field-weighted citation impact, top 8% 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

13 citing papers in PubMed, 30 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Implicating androgen excess in propagating metabolic disease in polycystic ovary syndrome.Therapeutic advances in endocrinology and metabolism · 2020
    Review
  11. Article
  12. Article
  13. Review
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

6 authors at 2 institutions in 1 country.

Weiwei XuDiabetes Discovery Research and Gender Medicine Laboratory, Department of Medicine, Section of Endocrinology and Metabolism, Tulane University School of Medicine, New Orleans.
Tianhua NiuDepartment of Biostatistics and Bioinformatics, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA 70112, USA.
Beibei XuDiabetes Discovery Research and Gender Medicine Laboratory, Department of Medicine, Section of Endocrinology and Metabolism, Tulane University School of Medicine, New Orleans.
Guadalupe NavarroDepartment of Medicine, Division of Endocrinology, Metabolism and Molecular Medicine, Northwestern University, Feinberg School of Medicine, Chicago, IL 60611, USA.
Matthew J SchipmaDepartment of Medicine, Division of Endocrinology, Metabolism and Molecular Medicine, Northwestern University, Feinberg School of Medicine, Chicago, IL 60611, USA.
Franck Mauvais-JarvisDiabetes Discovery Research and Gender Medicine Laboratory, Department of Medicine, Section of Endocrinology and Metabolism, Tulane University School of Medicine, New Orleans. Electronic address: fmauvais@tulane.edu.
Tulane University · USNorthwestern University · US

Funding

Tracking & Evaluation CoreU54GM104940 · NIGMS · LSU PENNINGTON BIOMEDICAL RESEARCH CTR · PI Peter Todd Katzmarzyk · 2012 to 2026
$69.1M
Targeting the estrogen receptor-α to protect functional β-cell mass in womenR01DK074970 · NIDDK · TULANE UNIVERSITY OF LOUISIANA · PI Franck Mauvais-Jarvis · 2007 to 2026
$6.0M
Repurposing estrogens to improve pancreatic islet transplantationR01DK107444 · NIDDK · TULANE UNIVERSITY OF LOUISIANA · PI MAUVAIS-JARVIS, FRANCK · 2016 to 2019
$1.5M
BLRD VA I01 BX003725NIDDK NIH HHS R01 DK074970NIDDK NIH HHS R01 DK107444NIGMS NIH HHS U54 GM104940
6 · The paper itself

Abstract

aimsTestosterone action is mediated via the androgen receptor (AR). We have reported that male mice lacking AR selectively in β-cells (βARKO

methodsTo investigate AR-dependent gene networks in β-cells, we performed a high throughput whole transcriptome sequencing (RNA-Seq) in islets from male βARKO

resultsWe identified 214 differentially expressed genes (DEGs) (158 up- and 56 down-regulated) with a false discovery rate (FDR) < 0.05 and a fold change (FC) > 2. Our analysis of individual transcripts revealed alterations in β-cell genes involved in cellular inflammation/stress and insulin secretion. Based on 312 DEGs with an FDR < 0.05, the pathway analysis revealed 23 significantly enriched pathways, including cytokine-cytokine receptor interaction, Jak-STAT signaling, insulin signaling, MAPK signaling, type 2 diabetes (T2D) and pancreatic secretion. The gene ontology analysis confirmed the results of the individual DEGs and the pathway analysis in showing enriched biological processes encompassing inflammation, ion transport, exocytosis and insulin secretion.

conclusionsAR-deficient islets exhibit altered expression of genes involved in inflammation and insulin secretion demonstrating the importance of androgen action in β-cell health in the male with implications for T2D development in men.

Indexed as

Gene Expression RegulationModels, BiologicalTranscriptomeAnimalsCell Line, TumorCrosses, GeneticDiabetes Mellitus, Type 2Gene Expression ProfilingGene OntologyGenetic MarkersHigh-Throughput Nucleotide SequencingInsulinInsulin-Secreting CellsInsulin SecretionIslets of LangerhansMaleAR protein, mouseGenetic MarkersInsulinReceptors, AndrogenAndrogen receptorPancreatic β-cellRNA-seqTranscriptomeType 2 diabetes

Identifiers

PMID28343791
PMCPMC5472375
OpenAlexW2593659889

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.