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Cell-Based Assays for Hepatotoxicity:

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<strong>Cell</strong>-<strong>Based</strong> <strong>Assays</strong> <strong>for</strong> <strong>Hepatotoxicity</strong>:<br />

New ideas and lessons learnt<br />

MBC Drug Discovery Breakfast Meeting<br />

December 18 2008<br />

Stella Redpath Ph.D<br />

Global Program Manager – Discovery Toxicology<br />

Millipore Corporation, Bioscience Division


Early microscopy


Now: High Content Analysis<br />

Automated fluorescent<br />

microscope<br />

bioin<strong>for</strong>matics


The need <strong>for</strong> new assays and techniques to<br />

predict drug toxicity<br />

90% of compounds fail<br />

in drug development 1 …<br />

Compounds<br />

Successfully<br />

Marketed<br />

Failed<br />

Compounds<br />

• Factors causing failure of drug<br />

candidates2<br />

– 45% Poor ADME properties<br />

– 11% In vivo toxicity<br />

– 10% Adverse clinical<br />

effects<br />

– 28% Insufficient efficacy<br />

– 6% Commercial reasons<br />

… Resulting in an estimated $70 M spend per drug failure on ADME / Toxicity 3<br />

1 Drug Discovery World (Summer 2005) – Conley, “High content screening: emerging importance of novel reagents/probes and pathway analysis”<br />

2 Business Insights Report, “Predictive ADME and Toxicology Strategies” (2006)<br />

3 D&MD Report (2007)


Inability to accurately screen <strong>for</strong> toxicity effects candidates is<br />

a key issue with current techniques.<br />

Traditional Focus <strong>for</strong> ADME/ Toxicity<br />

1000s<br />

compounds<br />

100s<br />

compounds<br />


Development of a high content analysis<br />

assay <strong>for</strong> hepatotoxicity<br />

‣In vivo testing, assessed by<br />

histopathology<br />

is the traditional toxicology tool<br />

‣HCA can identify histopathological<br />

endpoints.<br />

‣Millipore & <strong>Cell</strong>umen co-developed<br />

the <strong>Cell</strong>Ciphr panel <strong>for</strong> hepatotoxicity<br />

in human HepG2 cells .<br />

‣This kit contains antibodies, dyes &<br />

reagents and data analysis software.


Development of a high content analysis<br />

assay <strong>for</strong> hepatotoxicity<br />

Eleven hepatotoxicity endpoints in human HepG2 cells are measured using the<br />

<strong>Cell</strong> Ciphr Assay<br />

‣ <strong>Cell</strong> Loss<br />

‣ <strong>Cell</strong> Cycle Arrest<br />

‣ DNA Degradation/Apoptosis<br />

‣ Nuclear Size<br />

‣ Oxidative Stress<br />

‣ Stress Kinase Activation<br />

‣ DNA Damage<br />

‣ Mitochondrial Membrane Potential<br />

‣ Mitochondrial Mass<br />

‣ Mitotic Arrest<br />

‣ Cytoskeletal Integrity.


Development of a high content analysis<br />

assay <strong>for</strong> hepatotoxicity<br />

<strong>Cell</strong>Ciphr Cytotoxicity Profile<br />

‣Using cells to rank compounds according to toxicity<br />

‣Using cells to detect subtle changes indicative of compound<br />

toxicity at low concentration doses and earlier time points<br />

‣Identifies potential toxicity be<strong>for</strong>e expensive pre-clinical<br />

animal testing<br />

‣Enables prioritization of lead compounds


Development of a high content analysis<br />

assay <strong>for</strong> hepatotoxicity<br />

Control HepG2 (O)<br />

HepG2 cells treated with Paclitaxel (P)<br />

Blue – Nuclei;<br />

Green – Microtubules;<br />

Red – Mitochondria;<br />

Magenta – Phospho-Histone H3.<br />

‣ The kit includes all reagents required to measure 11 cellular features at 3 time points<br />

<strong>for</strong> 16 compounds in 6 x 384-well microplates.<br />

‣ Each measurement consists of an EC50 value calculated from replicate 10 point dose<br />

response curves


HepG2 cells treated with Campothecin (24h)<br />

<strong>Cell</strong> count Oxidative stress DNA damage


HepG2 cells treated with Campothecin<br />

(30mins – 72h)<br />

<strong>Cell</strong> loss<br />

<strong>Cell</strong> Count<br />

<strong>Cell</strong> Number (n=2, well mean +/- SD)<br />

30min<br />

24hr<br />

72hr<br />

30 mins<br />

24h<br />

72h<br />

1000<br />

0<br />

1.00E-06 1.00E-05 1.00E-04 1.00E-03 1.00E-02 1.00E-01 1.00E+00 1.00E+01<br />

[Camptothecin, + control] (uM on log scale)<br />

Campothecin (uM)


Acute<br />

Early<br />

Chronic<br />

mM μM nM<br />

<strong>Cell</strong>Ciphr Profiles of<br />

Initial Library - Clustered<br />

Staurosporine<br />

Anisom ycin<br />

Cam ptothecin<br />

Vinblastine<br />

P a c lita x e l<br />

Nocodazole<br />

M ethotrexate<br />

Mevastatin<br />

Lovastatin<br />

Terfenadine<br />

Etoposide<br />

CCCP<br />

Furazolindone<br />

Astemizole<br />

Ketoconazole<br />

Am iodarone<br />

C hlorprom azine<br />

Bupivacaine<br />

Buspirone<br />

Im ip ra m in e<br />

Indom ethacin<br />

Tacrine<br />

Paroxetine<br />

M enadione<br />

Q u in id in e<br />

Propranalol<br />

Chloroquine<br />

Diclofenac<br />

V a lp ro ic a c id<br />

Sulindac


Development of high content analysis<br />

assays <strong>for</strong> hepatotoxicity<br />

‣ This multiplex approach monitors multiple functions, time<br />

points and doses<br />

‣ Fully leverages the sensitivity and throughput of HCA<br />

and is relevant to human hepatotoxicity<br />

‣ May deliver insights on mechanism of action<br />

‣ Next generation of assays may include assays <strong>for</strong><br />

primary hepatocytes, stem cell-derived hepatocytes, and<br />

CYP450-competent transfected cell lines


Lessons learnt from designing<br />

hepatotoxicity assays:<br />

Development of cell-based assays<br />

to detect toxicity in neuronal cultures


<strong>Cell</strong>ular Targets <strong>for</strong> Neurotoxicity


Development of HCA assays <strong>for</strong> neurotoxicity<br />

• <strong>Assays</strong> <strong>for</strong> neurite<br />

outgrowth in neurons<br />

• <strong>Assays</strong> <strong>for</strong> detecting<br />

toxicity in astrocytes<br />

• <strong>Assays</strong> <strong>for</strong> detecting<br />

synaptogenesis in<br />

neurons<br />

• <strong>Assays</strong> <strong>for</strong> detecting<br />

toxicity in co-cultures of<br />

astrocytes and neurons


<strong>Assays</strong> <strong>for</strong> detecting toxicity in astrocytes<br />

Primary rat hippocampal astrocytes<br />

<strong>Cell</strong>s treated with two different toxins,<br />

paclitaxel and nocodazole<br />

Both toxins cause increased expression<br />

of GFAP as the levels of toxin rise.<br />

Different toxins cause different effects<br />

on the expression of GFAP<br />

0.4% DMSO CONTROL (4hr)<br />

1µM Paclitaxel TOXIN (4hr)


HCS221 Astrocyte toxicity<br />

Measurement of more than one parameter in a single assay<br />

A<br />

A: <strong>Cell</strong> Area<br />

As toxin levels increase, the size of the cells also<br />

Increases as apoptosis begins<br />

B<br />

B:Levels of GFAP expression<br />

As toxin levels increase, the expression of GFAP<br />

decreases, as apoptosis begins<br />

C<br />

C: <strong>Cell</strong> number<br />

As toxin levels increase, the cell numbers decrease as the cells<br />

die off when toxins are too high<br />

Primary rat hippocampal astrocytes<br />

All cells treated with K252a neurotoxin


Detecting changes in neuronal and astrocyte<br />

biomarkers due to toxins<br />

Neurons & astrocyte co-culture<br />

Untreated cells (Control)<br />

Neurons & astrocyte co-culture<br />

Treated with 10mM Acrylamide<br />

(toxin)


HCS222<br />

Detecting changes in neuron biomarkers due to toxins<br />

Neurons & astrocyte co-culture<br />

untreated (Control)<br />

blue = nuclei<br />

green = III-tubulin (neurons)<br />

red = GFAP (astrocytes)<br />

Neurons & astrocyte co-culture treated<br />

with H 2<br />

O 2<br />

(toxin)<br />

Significant damage to neurons<br />

blue = nuclei<br />

green = III-tubulin (neurons)<br />

red = GFAP (astrocytes)<br />

1mM H 2 O 2


Assessment of toxin effects on synapses (synaptogenesis)<br />

CONTROL<br />

Blue = nuclei<br />

Red = synaptophysin (synapse protein)<br />

Green = bIII tubulin (neurite protein)<br />

<strong>Cell</strong>s treated with acrylamide (toxin)<br />

<strong>Cell</strong>s treated with hydrogen<br />

Peroxide (toxin)


Assessment of acrylamide toxin effects in rat cells<br />

Rat primary<br />

Hippocampal cells<br />

Rat PC12 cell line<br />

Loss of synaptophysin expression<br />

as level of toxin increases<br />

Reduction in cells number<br />

as level of toxin increases


Preliminary data: comparison of HCA methods with biochemical<br />

assays <strong>for</strong> toxicity<br />

MPP+ toxin:<br />

Toxicity detected by HCA assay (neurite outgrowth parameter)<br />

Toxicity effect detected with MTT and LDH assay


Preliminary data: comparison of HCA methods with biochemical<br />

assays <strong>for</strong> toxicity<br />

Kainic acid:<br />

No toxic effect on neurons


Preliminary data: comparison of HCA methods with biochemical<br />

assays <strong>for</strong> toxicity<br />

6 Hydroxydopamine:<br />

Toxicity detected by HCA assay (neurite outgrowth parameter)<br />

Toxicity effect NOT detected with MTT or LDH assay


Preliminary data: comparison of HCA methods with biochemical<br />

assays <strong>for</strong> toxicity<br />

Nocodazole and K-252a:<br />

Toxicity detected by HCA assay (neurite outgrowth parameter)<br />

Toxicity effect NOT detected with MTT or LDH assay


Summary<br />

<strong>Cell</strong>-based assays <strong>for</strong> hepatotoxicity and neurotoxicity<br />

• <strong>Assays</strong> <strong>for</strong> hepatotoxicity using HCA have been adopted <strong>for</strong> HepG2 cells.<br />

Early indications are that the assays can be used as a “filter” to detect toxic<br />

effects earlier in drug discovery process<br />

• <strong>Assays</strong> <strong>for</strong> neurotoxicity using HCA appear to show better sensitivity than<br />

traditional biochemistry assays <strong>for</strong> cytotoxicity. More data required to understand<br />

various mechanisms of action and also develop predictive indices<br />

HCA assays <strong>for</strong> toxicology may identify potential toxicity be<strong>for</strong>e expensive preclinical<br />

animal testing. These assays will also enable prioritization of lead<br />

compounds during screening.


Acknowledgements<br />

Andrew Ball<br />

Janet Anderl<br />

Rocky Mowry<br />

Zaheda Farzin<br />

Matthew Hsu<br />

Anna Waters<br />

Rich Sullivan<br />

Stella Redpath<br />

Michele Hatler<br />

Jeff Till<br />

David Hayes<br />

Rick Ryan<br />

Dennis Harris

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