What can we do? 01 02 03 Analyze Seek For Study Literature - - PowerPoint PPT Presentation
What can we do? 01 02 03 Analyze Seek For Study Literature - - PowerPoint PPT Presentation
What can we do? 01 02 03 Analyze Seek For Study Literature Drug Reports Professional Advice Opioids opium morphine heroin POPPY Opioids top the list of illicit drugs and cause the most burden of disease and drug-related deaths
What can we do?
01 02
Seek For
Professional Advice
Study
Drug Reports
Analyze
Literature
03
Opioids
‘Opioids top the list of illicit drugs and cause the most burden of disease and drug-related deaths worldwide.’
—— The United Nations World Drug Report (2014)
morphine
- pium
heroin
POPPY
Abuse of Drug
Opioids Opiates Cocaine ATS “Ecstasy”
20 40 Global estimate of users of different drugs,2012 According to World drug report 2014
Millions of users
60 Heroin Cocaine Alcohol Ecstasy
Mean Pleasure Psychological dependence Physical dependence
Drug hazard index
Harm of opioids
ATS
Opioid receptor agonist
Methadone
Current treatments
Naltrexone
- pioid receptor antagonist
Target—Mu-opioid receptor
Morphine
μ Opioid Recetor
Gi/c Adenylate Cyclase
CREB CREB CREB PKA PKA Altered gene expression
Opioid receptors
Opioids act primarily as agonists of Mu-opioid receptor (MOR) MOR is an ideal therapeutic target for opioid addiction
Action of heroin on MOR
Medicine—siRNA
A tiny but powerful gene silencing tool
Technical barriers:
- 1. tissue non-specificity
- 2. immune activation and toxicity
- 3. brain impermeability
Limitations
Exosome
Exosome
Borrowing the body’s own RNA transport service Natural, endogenous nano-sized vesicles
03
Advantages
01
Specificity 02 Safety Brain accessibility
Experimental
design
Experimental design
Silencing device Targeting device Pumping device
μ receptor
Rewarding
siRNA exosome
Target——MOR Medicine——siRNA Agent——exosome
- pioid
Silencing device
Plasmid skeleton
5’ 3’
HEK293 cell siRNA exosomes siRNA plasmid siRNA
Silencing device
Targeting device
RVG: Rabies Virus Glycoprotein Lamp2b:lysosomal-associated membrane protein 2b
Neuron targeting
Lamp2b
RVG
Pumping device
nsMase2 Molecular pump HEK293 cell HEK293 cell
targeting plasmid siRNA plasmid HEK293 cell siRNA Lamp2b-RVG exosomes
neuron
mRNA
Assembly of RNAi-Targeting-Pumping devices
nsMase2 Molecular pump targeting plasmid siRNA plasmid
degradation
Acetyl-choline receptor
Experimental
results
Silencing capability validation
Experimental results
Safety val alidation Exosome modification and characterization Targeting capabil ility vali lidation
Interference efficiency of MOR siRNA
Relative levels of MOR mRNA in Neuro2A cells
0.5 1.0 1.5
1.0 0.47 0.22 0.45 0.42
siRNA is successfully packaged into exosomes
60 80 100
siRNA concentration in exosome (pmol/μg) siRNA-RVG exosome control RVG exosome siRNA exosome
UD UD
siRNA concentration in exosomes
TEM image of modified exosomes 40 20
nSMase2 as a molecular pump
Quantitative RT-PCR analysis
- f siRNA loaded into exosomes
1 2 3
Relative siRNA level
4
Nanoparticle tracking analysis of exosome production
control nSMase2 control nSMase2
Experimental results
Safety val alidation Targeting capabil ility vali lidation Silencing capability validation Exosome modification and characterization
MCF-7 A5 A549 contr trol siRNA exosome siRNA-RVG exosome contr trol siRNA exosome siRNA-RVG exosome
(n (non-neuro ronal) (n (non-neuro ronal)
Targeting capability validation(in vitro)
Ne Neuro ro2A C2 C2C1 C12
(n (neuronal) (n (non-neuro ronal)
0.0 0.1 0.2 0.3 0.4
siRNA concentration (siRNA/U6) UD Neuro2A cell C2C12 cell UD UD
Targeting capability validation(in vitro)
brainstem cortex
epencephalon
Olfactorius bulbus Olfactory medulla
liver lung spleen contr trol siRNA exosome siRNA-RVG exosome
Targeting capability validation(in vivo)
Neuronal tissues Non-neuronal tissues
Experimental results
Safety val alidation Targeting capabil ility vali lidation Silencing capability validation Exosome modification and characterization
control
siRNA-RVG exosome
MOR mRNA and protein levels become
Silencing capability (in vitro)
0.0 0.5 1.0 1.5
Relative level of MOR mRNA
siRNA exosome
lower Neuro2A cell
siRNA-RVG exosomes
MOR GAPDH
siRNA exosome
control
Conditional Place Preference Test
Morphine Injection
Silencing capability (in vivo)
Natural preference Morphine-paired preference
Day
1 2 4 3 6 8 5 7 9 11 10 12 26 28 30 32 33 34 1 12 26 32 34
CPP SCORE (sec)
- 500
- 1000
control
siRNA exosome siRNA-RVG exosome
Day1 Pr
Pre te test
Day12 12 te
test-1
Day26 26 te
test-2
Day34 34 te
test-3
siRNA-RVG exosome siRNA exosome control
Morphine injection Exosome injection
Mobile heatmap
Flow chart
control siRNA exosome
siRNA-RVG exosome
MOR expression after CPP test
control
0.0 0.5 1.0 1.5
Relative level of MOR mRNA
siRNA exosome siRNA-RVG exosome
MOR GAPDH
RVG exosome-delivered siRNA pass through BBB to down-regulate MOR expression
Experimental results
Safety val alidation Targeting capabil ility vali lidation Silencing capability validation Exosome modification and characterization
Safety validation
Forced Swimming Test
100 200 300 400
Inject exosomes
Record the video and analyze the activation
- f the mice
Mobile time(s)
Model Model
Modeling Overview
Delivery Module Silencing Module Signaling Module
𝑒 𝐶𝑑𝑔 𝑒𝑢 = 𝐿𝑐𝑚𝑝𝑝𝑒𝑒𝑗𝑡 ∙ 𝐶𝑑𝑐 − 𝐿𝑐𝑚𝑝𝑝𝑒𝑐𝑗𝑜𝑒 ∙ 𝐶𝑑𝑔 −
𝑢𝑗𝑡𝑡𝑣𝑓𝐹𝑢 𝑒 𝐶𝑑𝑐 𝑒𝑢 = −𝐿𝑐𝑚𝑝𝑝𝑒𝑒𝑗𝑡 ∙ 𝐶𝑑𝑐 + 𝐿𝑐𝑚𝑝𝑝𝑒𝑐𝑗𝑜𝑒 ∙ 𝐶𝑑𝑔
𝑒 𝐹𝑢 𝑒𝑢 = 𝐿𝑢𝑠𝑏𝑜𝑡𝑐𝑚𝑝𝑝𝑒 ∙ 𝑞𝑏𝑠𝑗𝑢𝑗𝑝𝑜𝑢𝑗𝑡𝑡𝑣𝑓 ∙ 𝑅𝑢𝑗𝑡𝑡𝑣𝑓∙𝐶𝑑𝑔 𝑅𝑑− 𝐿𝑐𝑗𝑜𝑒𝑢𝑗𝑡𝑡𝑣𝑓 ∙ 𝐹𝑢 − 𝐿𝑛 ∙ 𝐵𝑆 ∙ 𝐹𝑢
d Tb dt = 𝐿𝑐𝑗𝑜𝑒𝑢𝑗𝑡𝑡𝑣𝑓 ∙ E𝑢 + 𝐿𝑛 ∙ AR ∙ Et − 𝐿𝑗𝑜𝑢𝑢𝑗𝑡𝑡𝑣𝑓 ∙ Tbd Tissue dt = 𝐿𝑗𝑜𝑢𝑢𝑗𝑡𝑡𝑣𝑓 ∙ Tb − 𝐿𝑓𝑚𝑗𝑛𝑢 ∙ Tissue d Enc dt = 𝐿𝑑 ∙ 𝐿𝑗𝑜𝑢 ∙ Tbbrain − 𝐿𝑓𝑡𝑑𝑓𝑜𝑒𝑤𝑓𝑑 ∙ Enc
exosome binding internalization endosome Endosome escape RISC complex Lysosome degradationDelivery Module Methods
Pharmarcokinetics of exosome Cellular Trafficking of exosome
Delivery Module Results
RVG modification helps exosomes pass through the BBB and target into brain
Control siRNA-RVG exosome Control siRNA-RVG exosome
𝑆 −C)·Can+𝐿𝑑𝑚𝑓𝑏𝑤𝑏𝑓 ·C −𝐿𝑒𝑓RISC·(R + C) − 𝐿
𝑔𝑝𝑠𝑛RISCm·R·M d 𝐷na dt= −𝐿𝑒𝑗𝑡RISC ∙ R + 𝐿formRISC ∙ (rtot+𝐿𝑒𝑗𝑡RISC·R −R −C)·Cna −𝐿𝑒𝑓inna·Cna
d 𝐷 dt = 𝐿formRISC ∙ R ∙ M − 𝐿dis𝑆𝐽𝑇𝐷m ∙ C − 𝐿𝑒𝑓RISC·(R + C) − 𝐿𝑑𝑚𝑓𝑏𝑤𝑏𝑓 ·C d M dt = 𝐿 𝑔𝑝𝑠𝑛m𝑆𝑂𝐵 + 𝐿dis𝑆𝐽𝑇𝐷m ∙ C − 𝐿𝑒𝑓m𝑆𝑂𝐵·M −𝐿 𝑔𝑝𝑠𝑛RISCm·R·M d P dt = 𝐿 𝑔𝑝𝑠𝑛prot·M − 𝐿degprot ∙PSilencing Module Methods
Deterministic Model of Silencing Process
Silencing Module Results
Injection of exosomes significantly reduce the level of MOR mRNA and protein
MOR mRNA MOR protein
= −ReactionFlux1 + ReactionFlux5
d Cabg_R_𝑛𝑝𝑠𝑞ℎ𝑗𝑜𝑓 dt= ReactionFlux1 −ReactionFlux2 + ReactionFlux8
d 𝑛𝑝𝑠𝑞ℎ𝑗𝑜𝑓_𝑆 dt=ReactionFlux2 + ReactionFlux6 −ReactionFlux8
d 𝐻𝑏_𝐻𝑈𝑄 dt=ReactionFlux2 − ReactionFlux3 + ReactionFlux7
d 𝐻𝑏_𝐻𝐸𝑄 dt= ReactionFlux3 − ReactionFlux4
d 𝐻𝑏𝑐 dt=ReactionFlux4 − ReactionFlux5 + ReactionFlux7 − ReactionFlux
d 𝑆 dt = − ReactionFlux5 − ReactionFlux6 d 𝐻𝑐 dt=ReactionFlux2 − ReactionFlux4 + ReactionFlux7
Gαβγ-R Gαβγ + R Gα-GDP Opiates Opiates- R Gαβγ Gα-GTP Gαβγ GTP Gβγ GDP GTP Gαβγ-Opiates-R Gαβγ Opiates
Signaling Module Methods—Activation of MOR
Diagrams and ODEs are created using Matlab Simbiology
GABA docked
Signaling Module
Stochastic methods using Gillespie's Algorithm GABA release GABA inhibited GABA
synthesized
Signaling module results
On activation of MOR
Counteractive impacts
On inhibit of GABA release On decrease of cAMP level
Human practice Human practice
medical workers
addicts
- bject
Human Practice
Professor Jing: “I have to praise you for creativity and novelty of the project and for your brilliant job done in terms of difficulty of this project.” Patients: “I hate drug because it ruins my life. to withdraw heroin, I even turn to methamphetamine. No matter whatever methods, as long as it’s safe, I am willing to have a try. ” Doctor Geng: “Your project provides a brand new approach to dealing with treatment of drug addiction and has a potential for further application.” Policeman: “Even a new method is expensive, the government will still support. So the therapy will be totally free for the addicts.”
Human practice
GuLou District XuanWu District QiXia District
Human practice
GuLou District XuanWu District QiXia District
Human practice
GuLou District XuanWu District QiXia District
Potential drawback
Use of HEK293 as chassis causes ethical problems Therapy relies on patient’s
- wn willingness and requires
surveillance Exosome production process is expensive and labor-intensive
Potential drawback
01 02 03
Future work
Replace HEK293 chassis with patient’s own cells
Future work
Integrate monitor and curer together and replace human surveillance at molecular level
Acknowledgment
HELP:
We will win the opioid war
1. Alvarez-Erviti, L. et al. Nat. Biotechnol. 29, 341–345 (2011). 2. Kosaka N, Iguchi H, Yoshioka Y, Takeshita F, Matsuki Y, Ochiya T. Secretory Mechanisms and Intercellular Transfer of MicroRNAs in Living Cells[J]. The Journal of Biological Chemistry. 2010,285(23):17442-52. 3. UN World Drug Report, 2014. United Nations Office on Drugs and Crime. 4. Smyth BP1, Barry J, Keenan E, Ducray K. Lapse and relapse following inpatient treatment of opiate dependence. Ir Med J. 2010 Jun;103(6):176-9. 5. Al-Hasani R, Bruchas MR. Molecular mechanisms of opioid receptor-dependent signaling and behavior. Anesthesiology. 2011 Dec;115(6):1363-81. 6. Matthes HW, Maldonado R, Simonin F et al. Loss of morphine-induced analgesia, reward effect and withdrawal symptoms in mice lacking the µ-opioid-receptor gene. Nature383(6603),819–823 (1996). 7. Sora I, Takahashi N, Funada M et al. Opiate receptor knockout mice define µ receptor roles in endogenous nociceptive responses and morphine-induced analgesia. Proc. Natl Acad. Sci. USA94(4),1544–1549 (1997). 8. Joa ˜o Conde, Natalie Artzi, Are RNAi and miRNA therapeutics truly dead, Trends in Biotechnology 33(2015)141-144. 9. Stoorvogel W. Functional transfer of microRNA by exosomes[J]. Blood. 2012,119(3):646-8.
- 10. Kaplitt MG, Leone P, Samulski RJ, Xiao X, Pfaff DW, O'Malley KL, et al. Long-term gene expression and phenotypic correction
using adeno-associated virus vectors in the mammalian brain[J]. Nature genetics. 1994,8(2):148-54.
References
Poster &Media WIKI
Modeling
Human practice
Experiment
Poster &Media WIKI
Modeling
Human practice
Experiment