1. Developmental Biology
Download icon

Screening for insulin-independent pathways that modulate glucose homeostasis identifies androgen receptor antagonists

  1. Sri Teja Mullapudi
  2. Christian SM Helker
  3. Giulia LM Boezio
  4. Hans-Martin Maischein
  5. Anna M Sokol
  6. Stefan Guenther
  7. Hiroki Matsuda
  8. Stefan Kubicek
  9. Johannes Graumann
  10. Yu Hsuan Carol Yang
  11. Didier YR Stainier  Is a corresponding author
  1. Max Planck Institute for Heart and Lung Research, Germany
  2. CeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences, Austria
  3. German Centre for Cardiovascular Research, Germany
Short Report
Cite this article as: eLife 2018;7:e42209 doi: 10.7554/eLife.42209
4 figures, 1 table, 3 data sets and 2 additional files

Figures

Figure 1 with 1 supplement
insulin is crucial for zebrafish metabolic homeostasis.

(A) CRISPR target site in the insulin gene, with PAM sequence highlighted, and the resulting 16 bp deletion allele (below). (A’) Schematic of wild-type Insulin protein and the predicted mutant protein which contains novel sequence (black). (B) Confocal projection images of the pancreatic islet in 96 hpf Tg(ins:GFP) ins +/+ and ins -/- animals immunostained for Insulin (red) and Glucagon (cyan). (C) Free glucose levels in wild-type and mutant animals from 1 to 6 dpf; mean ± SEM, n = 2–4 replicates. (D) Nile Red staining (green) for neutral lipids in 120 hpf wild-type (top) and mutant (bottom) larvae, with yolk lipid content outlined (yellow dots). (E) Genotype distribution from ins ± incross, calculated as the percentage of total animals at each stage; mean ± SEM, n = 32 animals at each stage. (F) Heat map of the proteomic signature of zebrafish ins mutants at 120 hpf compared to signatures from rodent (R) and human (H) diabetic proteome studies. Canonical pathways implicated in most studies are listed first. P-value cut-off set at <0.05. Scale bars: 10 μm (B), 500 μm (D).

https://doi.org/10.7554/eLife.42209.003
Figure 1—figure supplement 1
ins, and not insb, is the predominant paralog expressed in zebrafish pancreatic islets.

(A) Brightfield images of 72 hpf wild-type, ins mutant and insb mutant larvae. (B–C) Confocal plane images of the pancreatic islet in 72 hpf wild-type and insb mutant larvae stained for Insulin (white). (D) Fasting blood glucose levels in three mpf wild-type and ins ± animals; mean ± SEM, n = 11 animals. (E) Body length measurements of 50 dpf wild-type and ins ± animals; mean ± SEM, n = 5–6 animals. (F) mRNA expression time course of ins and insb during zebrafish development from 0 to 120 hpf. (G) 4 ng of control (ctrl) or ins morpholino (MO) was injected in non-transgenic or Tg(ins:insb) (insb OE) embryos at the one cell stage and glucose levels measured at 96 hpf; mean ± SEM, n = 3 replicates. Scale bars: 250 μm (A), 5 μm (C, D). P values from t-tests.

https://doi.org/10.7554/eLife.42209.004
Figure 2 with 1 supplement
Highly efficient endoderm transplant technique rescues ins mutants to adulthood.

(A) Schematic depicting the endoderm transplantation protocol; sox32 mRNA-injected ins +/+ donor cells (orange) were transplanted into host embryos (blue) to form chimeric animals. (B–B’’) Confocal projection images of the pancreatic islet of a 48 hpf chimeric animal showing β-cells from the host (green, (B’) and the transplanted ins +/+ cells (magenta, (B). (C) Genotype distribution in the raised three mpf chimeric animals, determined by genotyping fin tissue; mean ± SEM, n = 3 transplant experiments, 18–32 animals per experiment. Scale bar: 10 μm.

https://doi.org/10.7554/eLife.42209.005
Figure 2—figure supplement 1
sox32 mRNA-injected cells contribute to host endoderm upon transplantation.

(A–A”) Confocal images of a 48 hpf host embryo injected with H2B-mCherry mRNA (magenta) and transplanted with Tg(sox17:GFP) expressing donor endoderm showing the chimeric islet (yellow arrowhead). (B) High-resolution melt analysis patterns for genotyping ins +/+ (blue), ins +/- (green) and ins -/- (brown) animals. (C) Representative example of genotyping 31 chimeric adults, revealing 8 of 31 animals to be mutant (brown). Scale bar: 200 μm.

https://doi.org/10.7554/eLife.42209.006
Figure 3 with 1 supplement
Small molecule screen in ins mutants reveals insulin-independent modulators of glucose metabolism.

(A) Relative glucose levels in 120 hpf ins mutant larvae after 36 hr of treatment with anti-diabetic drugs (dapagliflozin, pioglitazone, metformin) or reported insulin mimetics (MLR1023, Fraxidin) or the Pck1 inhibitor, 3 MPA; mean ± SEM, n = 3–7 replicates. (B) Schematic representation of the screening pipeline: ins mutant larvae were treated with small molecules starting at 84 hpf and free glucose levels measured at 120 hpf. (C) Scatter plot showing relative change in glucose levels upon treatment with 2233 small molecules. X and Y axes represent two replicates performed for each drug, with the dotted purple lines marking 0.9 on each axis. 72 molecules satisfied the pre-specified cut-off. (D) Relative glucose levels at 120 hpf upon treatment of ins mutants with the three hits – ODQ, Vorinostat, and Flutamide; mean ± SEM, n = 6–7 replicates. P values from t-tests.

https://doi.org/10.7554/eLife.42209.007
Figure 3—figure supplement 1
A 96-well plate-adapted protocol to measure glucose levels is suitable for small molecule screening.

(A) Plotting the measured glucose levels interpolated from the regular standard curve (blue) shows a shifted curve in the presence of lysis buffer (orange) with a dynamic range still suitable for measuring glucose levels. (B) Schematic showing the plate-adapted glucose readout assay. (C) Relative free glucose levels upon treatment of wild-type larvae from 4 to 6 dpf with the beta-adrenergic agonist isoprenaline (Iso) or both isoprenaline and metformin (Iso +Met); mean ± SEM, n = 4–5 replicates. (D) Structures of the hits - flutamide, ODQ and vorinostat. P values from t-tests.

https://doi.org/10.7554/eLife.42209.008
Figure 4 with 1 supplement
Androgen receptor (AR) antagonism reduces glucose levels in hyperglycemic larvae and adults.

(A) Relative glucose levels in ins mutants at 120 hpf upon treatment with various AR antagonists starting at 84 hpf; mean ± SEM, n = 3–7 replicates. (B) Glucose levels in 72 hpf ins mutants after injection with 1 ng of ctrl or ar MO; mean ± SEM, n = 3 replicates. (C) Glucose levels in 72 hpf wild types after injection with 1 ng of ctrl or ar MO; mean ± SEM, n = 4 replicates. (D) RNA-seq analysis of 120 hpf ins mutant larvae treated with flutamide or cyproterone starting at 84 hpf, showing differentially expressed genes (DEGs) compared to DMSO-treated larvae in blue and green, respectively. Red dots indicate DEGs common to both treatments. (E) Workflow used to filter candidate genes: 40 DEGs modulated in the same direction (both up or both down) were analyzed in relation to the microarray dataset (ins mutant vs phenotypically wild-type 108 hpf larvae). (F) Glucose levels measured in adult Tg(ins:NTR) animals after β-cell ablation and intraperitoneal injection with vehicle (DMSO) or flutamide; mean ± SEM, n = 6–8 animals. P values from t-tests.

https://doi.org/10.7554/eLife.42209.009
Figure 4—figure supplement 1
Flutamide reduces glucose levels in a dose-dependent manner, possibly exerting its effects through liver gluconeogenic enzymes.

(A) Dose response curve of the glucose lowering effect of flutamide in ins mutant larvae, treated from 84 to 120 hpf; mean ± SEM, n = 3 replicates. (B) Wholemount in situ hybridization for ar expression in 120 hpf wild-type and ins mutant larvae showing signal in the brain and liver (red arrowheads). (C) The 12 genes differentially regulated in ins mutants compared to non-mutant siblings and modulated in the opposite direction upon treatment with flutamide or cyproterone compared to DMSO; listed with their fold change (Log2 scale) and expression levels under control condition (base mean reads); genes are ordered by the fold change in the flutamide vs DMSO condition. (D) Schematic of insig1 and btg2 gene loci, with location of transcription start site (TSS) and androgen response elements (ARE, blue arrowheads). (E) Schematic of vehicle vs flutamide treatment of Tg(ins:NTR) adult animals following β-cell ablation with metronidazole (MTZ) injection to induce hyperglycemia. Scale bar: 250 μm.

https://doi.org/10.7554/eLife.42209.010

Tables

Key resources table
Reagent type
or resource
DesignationSource or referenceIdentifiersAdditional
information
Genetic reagent (Danio rerio)insbns102This paper16 bp deletion allele of ins (Gene ID: 30262)
Antibodyα-Insulin (Guinea Pig
Polyclonal)
DakoA0564(1:300)
Sequence-based reagentsox32Kikuchi et al., 2001(RNA)
Commercial assay or kitmMessage mMachine SP6 Transcription KitThermoFisherAM1340
Commercial assay or kitGlucose assay kitMerckCBA086
Software, algorithmZEN Blue 2012Zeiss, Germany
Software, algorithmGraphPad Prism 7GraphPad Software,
California

Data availability

Microarray and RNA-Seq data have been deposited in the ArrayExpress database at EMBL-EBI (www.ebi.ac.uk/arrayexpress) under accession number E-MTAB-7282 and E-MTAB-7283 respectively. Proteomics data has been deposited in the PRIDE database (https://www.ebi.ac.uk/pride/archive/) under accession number PXD012027.

The following data sets were generated
  1. 1
    ArrayExpress
    1. Teja Mullapudi Sri
    (2018)
    ID E-MTAB-7282. Microarray analysis comparing zebrafish insulin mutants to non-mutants.
  2. 2
    ArrayExpress
    1. Teja Mullapudi Sri
    (2018)
    ID E-MTAB-7283. Effects of anti-androgenic compounds on zebrafish insulin mutants.
  3. 3
    PRIDE
    1. M Sokol Anna
    (2018)
    ID PXD012027. Screening for insulin-independent pathways that modulate glucose homeostasis identifies androgen receptor antagonists.

Additional files

Supplementary file 1

List of proteins with Log2FC > 1 or Log2FC < −1 from proteomic analyses comparing 120 hpf ins mutant and wild-type animals.

https://doi.org/10.7554/eLife.42209.011
Transparent reporting form
https://doi.org/10.7554/eLife.42209.012

Download links

A two-part list of links to download the article, or parts of the article, in various formats.

Downloads (link to download the article as PDF)

Download citations (links to download the citations from this article in formats compatible with various reference manager tools)

Open citations (links to open the citations from this article in various online reference manager services)