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The role of genetics in diagnosis and treatment of mood disorders Alessandro Serretti, MD, PhD Institute of Psychiatry University of Bologna Italy.

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Presentation on theme: "The role of genetics in diagnosis and treatment of mood disorders Alessandro Serretti, MD, PhD Institute of Psychiatry University of Bologna Italy."— Presentation transcript:

1 The role of genetics in diagnosis and treatment of mood disorders Alessandro Serretti, MD, PhD Institute of Psychiatry University of Bologna Italy

2 Genetics of mood disorders  Is genetics important for MD?  Is genetics useful for MD diagnosys?  Is genetics important for MD treatment?  Is genetics useful for MD treatment?

3 Genetics of mood disorders  Is genetics important for MD?  Is genetics useful for MD diagnosys?  Is genetics important for MD treatment?  Is genetics useful for MD treatment?

4 Morbid Risk in Bipolar Disorder %

5 Morbid Risk in Major Depressive Disorder %

6 Genetics of mood disorders  Is genetics important for MD? Yes  Is genetics useful for MD diagnosys?  Is genetics important for MD treatment?  Is genetics useful for MD treatment?

7 Genetics of mood disorders  Is genetics important for MD? Yes  Is genetics useful for MD diagnosys?  Is genetics important for MD treatment?  Is genetics useful for MD treatment?

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14 %? ?

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17 Genetics of mood disorders  Is genetics important for MD? Yes  Is genetics useful for MD diagnosys? Not as we may think! Plasticity  Is genetics important for MD treatment?  Is genetics useful for MD treatment?

18 Genetics of mood disorders  Is genetics important for MD? Yes  Is genetics useful for MD diagnosys? Not as we may think! Plasticity  Is genetics important for MD treatment?  Is genetics useful for MD treatment?

19 diagnosis trials and errors effective treatment TODAY….

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21 diagnosis trials and errors effective treatment TODAY…. TOMORROW…. tailor made

22 Genetic Variation  Unrelated individuals are (only) 99% genetically similar.  There is about a 7 million bp difference between any two non-related individuals.  Plus CNVs, epigenetics, expression controls…  This explains interindividual variability  Hair color, weight and …. disease liability, drug response.

23 Pharmacogenetic studies (Medline 1992-2008)

24 VARIATIONS IN DRUG RESPONSE GENE ß2-ADREN. CETP D2, D3, 5HT2 APOE4 RYANODINE PROTHROMBIN NET Her2/neu DRUG ALBUTEROL PRAVASTATIN ANTIPSYCHOTICS TACRINE HALOTHANE CONTRACEPTIVES ATOMOXETINE TRASTUZUMAB EFFECT Asthma response Atherosclerosis resp. Response-Side eff. Alzheimer resp. Malignant hyperthermia Thrombosis Response (Ramoz 2009) Efficacy/Tolerance

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26 GENETICPOLYMORPHISMS PharmacokineticPharmacodynamic TransportersTransporters Plasma protein bindingPlasma protein binding MetabolismMetabolism ReceptorsReceptors Ion channelsIon channels EnzymesEnzymes Immune moleculesImmune molecules

27 u HTTLPR u SERT-STin2 u 5HT1A C-1019G u 5-HT1B u 5HT2A T102C u 5HT2A G1438A u 5HT2C u 5HT6 C267T u TPH A218C TPH2 u NET T-182C u NET G1287A u COMT u MAOA u DRD2 S311C u DRD4 VNTR u ACE I/D polymorphism u G-protein beta3 C825T u ADRB1 G1165C u CRHR1 u NOS C276T u IL-1beta C511T u DTNBP1 u FKBP5 u CLOCK Genes investigated in the short term u MDNF u DTNBP1 u nNOS u IL-1beta u APOE u MDR1P-gp u A-161T

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29 REGULATORY VARIANT OF 5-HT TRANSPORTER A functional polymorphism in the transcriptional control region upstream of the 5-HTT coding sequence (5-HTTLPR) has been reported (Heils et al., 1996).

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31 5-HTTLPR variants explained 7% of the variance of antidepressant efficacy

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34 HTTLPR l variant associated with better outcome and side effects in caucasians, conflicting in asians (“flip-flop” Lin, 2007) Possibly through a complex and indirect effect Multiple effects both in normals and patients (Serretti, 2006) Further variants control its effects HTTLPR - Conclusions

35 HTTLPR l variant associated with better outcome in caucasians Possibly through a complex and indirect effect Multiple effects both in normals and patients (Serretti, 2006) Further variants control its effects HTTLPR - Conclusions

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39 5-HTTLPR variations…… Broad influence of a single gene on a range of aspects Temperament Stress reactivity Anatomical change Mood disorders Response to antidepressants Poor serotonin pathway plasticity

40 Harro J (2009): The brain prepared to become anxious: predisposing neurobiology in animals and humans. Eur. Neuropsychopharm. 19:S113.

41 HTTLPR l variant associated with better outcome in caucasians Possibly through a complex and indirect effect Multiple effects both in normals and patients (Serretti et al., Curr Drug Targ, 2006) Further variants control its effects HTTLPR - Conclusions

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43  16-A  16-D  16-F 12345678910111213141516 tgcacccccagcatcccccc tgcacccccggcatcccccc tgcactcccagcatcccccc Types of 16th repeat (*l) Nakamura, 2000; Goldman, 2004

44 Studies with at least two independent replications

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53 (Binder et al., 2004)FKBP5 Assoc. with resp. in 2 indep. samples (Tsai et al., 2007)FKBP5No association (van Rossum et al., 2006)NR3Cl ER22/23EK Associated with response (Papiol et al., 2007)FKBP5rs1360780 trend with response (p=0.09) (Lekman et al., 2008)FKBP5rs4713916 Assoc with remission (Kirchheiner et al., 2008)FKBP5rs3800373 and rs1360780 associated with response (venlafaxine and drug combination) FKBP5

54 BDNF

55 Dysbindin Studies with at least two independent replications

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57 Dysbindin associated with SSRI antidepressant efficacy

58 DTNBP1 haplotype analysis for rs2005976, rs760761 and rs2619522, on final MADRS covariated for baseline scores (haplotypes frequency>1%) P=0.0073.

59 DYSBINDIN GENE (DTNBP1) IN mood disorders: ASSOCIATION WITH CLINICAL RESPONSE TO SSRIs Arias, B; Serretti, A; Mandelli, L; Gastó, C; Catalán, R; Di Ronchi, D; Fañanás, L. Pharmacogenet Genomics, In Press

60 Two-way repeated measures ANOVA for rs760761

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63 P-glycoprotein - MDR1 Studies with at least two independent replications

64 MDR1

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68 (Paddock, 2007)GRIK4rs1954787 assoc. with remiss. p=.001 (Gau, 2007) p75 NTR S250L assoc. with response p=.039 GRIK4

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70 u HTTLPR u SERT-STin2 u 5HT1A C-1019G u 5-HT1B u 5HT2A T102C u 5HT2A G1438A u 5HT2C u 5HT6 C267T u TPH1 A218C u TPH1 A218C TPH2 u NET T-182C u NET G1287A u COMT u MAOA u DRD2 S311C u DRD4 VNTR u ACE I/D polymorphism u G-protein beta3 C825T u ADRB1 G1165C u CRHR1 u NOS C276T u IL-1beta C511T u FKBP5 u CLOCK Genes investigated in the short term u MDNF u DTNBP1 u nNOS u IL-1beta u APOE u MDR1P-gp u GRIK4 Different target of SSRI Different Plasticity Different SSRI availability in the brain Glutamate modulation

71 Some gene variants influence antidepressant effects But…

72 Is antidepressant a unitary effect? And… Do genes influence only one behavioral feature?

73 CLOCK 3111T/C Broad influence of a single gene on a range of aspects Temperament Insomnia Diurnal Preference Mood fluctuations Response to antidepressants

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75 Genetics of mood disorders  Is genetics important for MD? Yes  Is genetics useful for MD diagnosys? Not as we may think! Plasticity  Is genetics important for MD treatment? Yes  Is genetics useful for MD treatment?

76 Genetics of mood disorders  Is genetics important for MD? Yes  Is genetics useful for MD diagnosys? Not as we may think! Plasticity  Is genetics important for MD treatment? Yes  Is genetics useful for MD treatment? Yes, but in a complex way

77 Some gene variants influence antidepressant effects and other features Can we use them in everyday clinical practice?

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79 NO

80 NOT YET

81 Pharmacogenetics: problematic issues…and possible solutions Low variance explained by polymorphisms (HTTLPR=2.8%, TPH=2.7%, Gß3=1.2%)  Other variables influence drug response: Life events, social support, temperament, hormons…and should be included in the model! Neural Network? Epigenetic factors, CNV, Splicing, Regional expression, gene interactions…should be controlled with multivariate or neural network models. Drug response may differ across episodes…longer follow up

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88 Would be the puzzle the actual image of reality? adherence - compliance social support stressful events personality Epigenetic factors gene interactions HormonsHormons GenomicsGenomics ProteomicsProteomics

89 Kansai Medical University, Japan Prof. Toshihiko Kinoshita Masaki Kato MD The Catholic University of Korea College of Medicine, South Korea Prof. Chi-Un Pae Universitat de Barcelona, Spain Prof. Lourdes Fananas Barbara Arias PhD Univerza V Ljubljani - University Of Ljubljana, Slovenia Prof. Vita Dolzan Principal Collaborating Centers Athens University, Greece Prof. Yoannis Liappas Antonis Politis MD Petros Malitas MD University of Toronto, Canada Prof. Jim Kennedy Daniel Muller MD Ludwig-Maximilians-Universität München, Germany Prof. Dan Rujescu Ina Giegling PsyD

90 Psychiatric Genetic Unit, Institute of Psychiatry, University of Bologna, Italy Alessandro Serretti MD PhDLaura Mandelli PsyD Raffaella Calati PsyD, PhD Sara Gibiino Diana De Ronchi MD PhD Antonio Drago MD Alberto Chiesa MD Martina Forlani


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