Evidence map›Paper›PMID 31555879›Full record

ArticleArchives of toxicology2019

Arsenic is more potent than cadmium or manganese in disrupting the INS-1 beta cell microRNA landscape.

Rowan Beck, Mohit Chandi, Matt Kanke, Miroslav Stýblo, Praveen Sethupathy

Open access · greenAbstract read
In one paragraph

Article in Archives of toxicology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.1field-weighted citation impact, top 26% 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

14 citing papers in PubMed, 22 citations in OpenAlex.

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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

5 authors at 2 institutions in 1 country.

Rowan BeckDepartment of Genetics, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA.ORCID 0000-0003-2826-940X
Mohit ChandiDepartment of Genetics, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA.
Matt KankeDepartment of Biomedical Sciences, College of Veterinary Medicine, Cornell University, Ithaca, NY, 14853, USA.
Miroslav StýbloDepartment of Nutrition, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA.
Praveen SethupathyDepartment of Biomedical Sciences, College of Veterinary Medicine, Cornell University, Ithaca, NY, 14853, USA. pr46@cornell.edu.
University of North Carolina at Chapel Hill · USCornell University · US

Funding

STOCHASTIC ANALYSIS OF FLOW AND TRANSPORT PHENOMENAP42ES005948 · NIEHS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI FRY, REBECCA · 1992 to 2017
$45.4M
NRSA IN GENETICST32GM007092 · NIGMS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI SEKELSKY, JEFF J. · 1985 to 2019
$5.9M
Mechanisms of Arsenic-Induced Diabetes Mellitus - Administrative SupplementR01ES022697 · NIEHS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI STYBLO, MIROSLAV · 2014 to 2017
$1.5M
Molecular and Biological Functions of miR-29 in Lipid HomeostasisR01DK105965 · NIDDK · UNIV OF NORTH CAROLINA CHAPEL HILL · PI SETHUPATHY, PRAVEEN · 2016 to 2019
$1.4M
NIEHS NIH HHS P42 ES005948NIEHS NIH HHS R01 ES022697NIEHS NIH HHS R01ES022697NIGMS NIH HHS 5T32 GM007092NIGMS NIH HHS T32 GM007092NIH HHS R01DK105965UNC Superfund by NIEHS 3P42ES005948-22S2
6 · The paper itself

Abstract

Diabetes is a metabolic disorder characterized by fasting hyperglycemia and impaired glucose tolerance. Laboratory and population studies have shown that inorganic arsenic (iAs) can impair these pathways. Other metals including cadmium (Cd) and manganese (Mn) have also been linked to diabetes phenotypes. MicroRNAs, short non-coding RNAs that regulate gene expression, have emerged as potential drivers of metabolic dysfunction. MicroRNAs responsive to metal exposures in vitro have also been reported in independent studies to regulate insulin secretion in vivo. We hypothesize that microRNA dysregulation may associate with and possibly contribute to insulin secretion impairment upon exposure to iAs, Cd, or Mn. We exposed insulin secreting rat insulinoma cells to non-cytotoxic concentrations of iAs (1 µM), Cd (5 µM), and Mn (25 µM) for 24 h followed by small RNA sequencing to identify dysregulated microRNAs. RNA sequencing was then performed to further investigate changes in gene expression caused by iAs exposure. While all three metals significantly inhibited glucose-stimulated insulin secretion, high-throughput sequencing revealed distinct microRNA profiles specific to each exposure. One of the most significantly upregulated microRNAs post-iAs treatment is miR-146a (~ + 2-fold), which is known to be activated by nuclear factor κB (NF-κB) signaling. Accordingly, we found by RNA-seq analysis that genes upregulated by iAs exposure are enriched in the NF-κB signaling pathway and genes down-regulated by iAs exposure are enriched in miR-146a binding sites and are involved in regulating beta cell function. Notably, iAs exposure caused a significant decrease in the expression of Camk2a, a calcium-dependent protein kinase that regulates insulin secretion, has been implicated in type 2 diabetes, and is a likely target of miR-146a. Further studies are needed to elucidate potential interactions among NF-kB, miR-146a, and Camk2a in the context of iAs exposure.

Indexed as

AnimalsArsenitesCadmiumCalcium-Calmodulin-Dependent Protein Kinase Type 2Cell LineDiabetes Mellitus, Type 2HumansInsulin-Secreting CellsInsulin SecretionManganeseMicroRNAsNF-kappa BProinsulinRatsUp-RegulationarseniteArsenitesCadmiumCalcium-Calmodulin-Dependent Protein Kinase Type 2Camk2a protein, ratManganeseMicroRNAsMIRN146a microRNA, ratNF-kappa BProinsulinArsenicCadmiumDiabetesManganesemiRNARNA

Identifiers

PMID31555879
PMCPMC8356444
OpenAlexW2976860009

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.