application of human nash-based ......translational study of drug effects on liver fibrosis morrison...

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APPLICATION OF HUMAN NASH-BASED TRANSCRIPTOME AND METABOLOME PROFILES IN PRECLINICAL MODELS FOR THE TRANSLATIONAL STUDY OF DRUG EFFECTS ON LIVER FIBROSIS Morrison MC 1 , Verschuren L 2 , Salic K 1 , van den Hoek AM 1 , Menke A 3 , Verheij J 4 , Iruarrizaga-Lejarreta M 5 , Turner S 6 , Schwerk A 1 , van Koppen A 1 , Wielinga PY 1 , Mato JM 7 , Hanemaaijer R 1 , Alonso C 5 , Kleemann R 1 BACKGROUND Recent human studies have identified molecular patterns (metabolomics, transcriptomics) that characterize NASH patients and differentiate between mild and severe pathology. Concerns have been raised whether preclinical models sufficiently mimic these molecular disease profiles, bringing into question their translational value in studies of therapeutic interventions in the process of NASH/fibrosis. Here, we applied these molecular patterns derived from human NASH in an experimental disease model, to improve the translational value of pre-clinical efficacy studies. 10-WEEK OCA INTERVENTION ATTENUATES PROGRESSION OF NASH AND LIVER FIBROSIS Ldlr-/-.Leiden mice displayed a hepatic gene expression profile that differentiates between severe ‘progressive’ NASH patients (fibrosis stage 3-4) and mild NASH patients (fibrosis stage 0-1) (Human gene expression data described in Moylan et al. Hepatology 2014, NCBI GEO accession GSE49541) Ldlr-/-.Leiden serum metabolomic profile was reflected in substantial proportion of NAFLD patients (Human Metabolomics data are described in Alonso et al. Gastroenterology 2017) METHODS Human NASH-based transcriptomics and metabolomics profiles were compared to corresponding profiles from high-fat-diet (HFD) treated LDLr-/-.Leiden mice, a preclinical model with translational characteristics. Mice were profiled at the stage of mild (24 weeks HFD) and severe (34 weeks HFD) fibrosis, as well as after OCA intervention to attenuate or resolve fibrosis (treatment from 24 to 34 weeks of HFD; 10 mg/kg). Effects of OCA were analyzed histologically, biochemically, by IHC, deuterated water technology (for de novo collagen formation) and the human-based profiles. HUMAN NASH-BASED MOLECULAR PROFILES REFLECTED IN HFD-FED LDLR-/-.LEIDEN MICE Ldlr-/-.Leiden mice displayed a hepatic gene expression profile that distinguishes NASH patients from healthy controls (Human gene expression data described in Teufel et al. Gastroenterology 2017, NCBI GEO accession GSE48452) HFD HFD HFD +OCA 0 10 20 30 40 50 perihepatocellular fibrosis (% of total hepatocellular area) * 24w 34w HFD HFD HFD +OCA 0 10 20 30 40 50 Hepatic collagen ( µ g/mg liver protein) ** 24w 34w HFD HFD HFD +OCA 0 50 100 150 200 F4/80+ crown-like structures (per 5 fields at 100x) * 24w 34w HFD HFD +OCA 0 100 200 300 hepatic triglycerides ( µ g/mg protein) *** HFD HFD +OCA 0 20 40 60 hepatic cholesteryl esters ( µ g/mg protein) * HFD HFD HFD +OCA 0 20 40 60 80 100 inflammatory aggregates (per 5 fields at 100x magnification) p=0.09 24w 34w OCA TREATMENT NORMALIZES METABOLIC AND INFLAMMATORY GENE EXPRESSION HFD vs chow HFD+OCA vs HFD Upstream regulator activation z-score p-value activation z-score p-value Chemokines CCR2 2,1 4,7E-04 n/a n/a CCL5 2,1 5,2E-09 n/a n/a CCL6 2,2 8,5E-03 n/a 3,4E-02 CXCL8 3,2 1,1E-02 n/a n/a CXCR4 2,7 7,1E-03 n/a n/a CXCL10 2,2 4,2E-02 n/a n/a CXCL12 4,1 1,0E-05 -2,4 9,1E-02 Cytokines IL1B 7,0 7,4E-35 -0,9 2,1E-06 IL2 4,4 1,3E-18 -1,7 1,6E-04 IL3 2,9 4,2E-14 -1,7 6,8E-06 IL4 2,9 5,0E-27 -0,8 9,0E-12 IL5 3,9 3,9E-16 n/a n/a IL6 4,8 7,1E-34 -1,7 3,1E-09 IL7 1,4 1,1E-02 n/a n/a IL9 2,0 1,0E+00 n/a n/a IL10 0,7 1,3E-14 -1,6 7,0E-10 IL10RA -3,9 9,5E-25 3,1 8,5E-15 IL11 1,7 2,1E-04 n/a n/a IL11RA 2,4 4,8E-02 n/a n/a IL12 (complex) 2,9 6,8E-07 -2,0 1,4E-05 IL13 2,4 1,5E-27 -2,1 4,2E-06 IL13RA2 2,0 3,5E-02 n/a n/a IL15 3,6 3,8E-07 n/a n/a IL17A 3,4 5,8E-10 n/a n/a IL17C 2,4 3,4E-01 n/a n/a IL17D 2,0 1,9E-01 n/a n/a IL18 4,3 1,5E-02 -1,2 4,1E-02 IL21 3,3 5,2E-05 n/a n/a IL27 3,9 6,2E-04 -1,1 1,1E-02 IL32 0,7 2,8E-02 n/a n/a CSF1 4,1 2,4E-13 -2,5 1,5E-04 CSF2 7,1 3,1E-21 -4,0 5,3E-08 TNF 9,2 5,4E-59 -2,4 2,0E-13 OSM 3,8 4,0E-15 -2,0 2,2E-01 MIF 2,1 5,1E-04 n/a n/a IFN Beta 3,7 1,8E-04 n/a n/a IFNG 7,3 4,9E-54 -3,7 9,5E-11 Inflammatory regulators NFkB (complex) 6,6 1,2E-19 -1,8 4,3E-02 NFKB1 4,3 1,7E-09 n/a n/a NFKB2 0,8 4,0E-02 n/a n/a NfkB1-RelA 2,2 4,3E-01 n/a n/a NFKBIA 3,7 7,3E-24 -2,3 5,7E-03 STAT1 5,8 7,8E-14 -2,7 5,6E-05 STAT3 3,1 8,1E-24 -0,5 2,7E-04 STAT4 3,3 6,5E-10 -2,7 6,8E-03 STAT5a/b 1,9 5,4E-05 -2,0 3,1E-01 Jnk 5,2 1,1E-08 -2,3 1,1E-01 ITK 3,4 1,9E-05 -3,0 1,5E-03 Ap1 3,8 7,4E-05 n/a n/a NFATC2 3,5 2,0E-02 n/a n/a TLR-signalling TLR2 1,9 1,0E-01 n/a 3,3E-02 TLR3 4,6 2,7E-05 n/a n/a TLR4 5,7 6,8E-12 -1,5 3,8E-02 TLR5 2,4 1,4E-01 n/a n/a TLR7 4,8 4,9E-03 -2,1 9,0E-02 TLR8 2,0 1,0E+00 n/a n/a TLR9 4,5 8,5E-08 -0,1 1,2E-02 MYD88 5,9 6,1E-11 -2,5 1,9E-01 Growth factors TGFB1 7,2 2,0E-66 -2,8 2,3E-19 VEGFA 2,5 1,3E-15 -2,8 1,3E-01 Oxidative stress (response) NOS2 3,7 4,7E-06 n/a n/a CAT -2,5 2,8E-04 n/a n/a SOD1 -2,2 2,8E-10 n/a 1,6E-02 NRF1 -2,1 2,0E-02 n/a n/a NRF2 -2,8 4,0E-22 1,7 8,5E-04 Metabolism-related PPARA 0,8 9,9E-42 -0,2 1,6E-18 PPARD -0,2 2,2E-10 0,8 4,0E-04 PPARG -3,3 1,8E-15 0,7 1,2E-03 PPARGC1A -3,8 3,4E-11 1,2 3,6E-05 PPARGC1B -3,7 1,5E-04 n/a n/a ACOX1 -6,7 2,3E-38 3,1 4,4E-10 SREBF1 -3,7 4,1E-18 -0,1 1,0E-03 SREBF2 -4,5 1,6E-19 n/a n/a FXR n/a -1,0E+00 3,2 8,8E-05 INSIG1 -0,1 1,6E-16 2,3 7,2E-06 INSIG2 2,8 1,2E-03 n/a n/a CYP51A1 2,7 1,3E-07 n/a n/a ChREBP -2,4 2,4E-01 n/a n/a INSR -5,8 4,2E-19 1,6 4,5E-03 CNR1 2,2 3,3E-02 -2,1 7,6E-03 ESRRA -1,6 1,1E-03 2,0 1,5E-01 CAR n/a n/a 2,2 1,0E-09 OCA NORMALIZES METABOLOMICS AND TRANSCRIPTOMICS SIGNATURES THAT ARE CHARACTERISTIC FOR NASH PATIENTS CONCLUSIONS Ldlr -/-.Leiden mice recapitulate specific molecular metabolomics and transcriptomics signatures of NASH patients, which substantiates the translational value of this model. Intervention with OCA in developing fibrosis counter-regulates the effects of HFD and normalizes human-based molecular profiles. OCA reduces collagen deposition and reticulation but does not resolve already manifest fibrosis in the period studied (10 weeks). Human molecular signatures may be used to estimate the translational value of preclinical models for NASH. OCA reduced steatosis OCA reduced inflammation OCA attenuated fibrosis OCA reverted HFD- induced Mx profile Teufel geneset normalized by OCA Moylan genes normalized by OCA 1 TNO Metabolic Health Research, Leiden, the Netherlands; 2 TNO Microbiology and Systems Biology, Zeist, the Netherlands; 3 Triskelion B.V., Department of Pathology, Zeist, the Netherlands; 4 Amsterdam Medical Center, department of Pathology, Amsterdam the Netherlands; 5 OWL Metabolomics, Derio, Spain; 6 Kinemed Inc., Emeryville, CA, USA; 7 CIC bioGUNE, CIBERehd, Derio, Spain Treatment with OCA had pronounced anti-inflammatory effects on specific pathways and metabolic regulators, together constituting a balanced therapeutic approach Ldlr-/-.Leiden HFD vs chow Human NASH vs control Ldlr-/-.Leiden HFD vs chow HFD HFD+OCA HFD HFD+OCA Ldlr-/-.Leiden HFD vs chow Ldlr-/-.Leiden HFD + OCA vs HFD Ldlr-/-.Leiden HFD vs chow Ldlr-/-.Leiden HFD + OCA vs HFD [email protected] | www.tno.nl Multiphoton and SHG imaging showed reduced collagen area and revealed effect on collagen reticulation (in thin as well as aggregated fibers).

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Page 1: APPLICATION OF HUMAN NASH-BASED ......TRANSLATIONAL STUDY OF DRUG EFFECTS ON LIVER FIBROSIS Morrison MC 1, Verschuren L 2, Salic K 1, van den Hoek AM 1, Menke A 3, Verheij J 4, Iruarrizaga-Lejarreta

APPLICATION OF HUMAN NASH-BASED TRANSCRIPTOME ANDMETABOLOME PROFILES IN PRECLINICAL MODELS FOR THETRANSLATIONAL STUDY OF DRUG EFFECTS ON LIVER FIBROSISMorrison MC1, Verschuren L2, Salic K1, van den Hoek AM1, Menke A3, Verheij J4, Iruarrizaga-Lejarreta M5, Turner S 6, Schwerk A1, van Koppen A1,Wielinga PY1, Mato JM7, Hanemaaijer R1, Alonso C5, Kleemann R1

BACKGROUNDRecent human studies have identified molecular patterns(metabolomics, transcriptomics) that characterize NASH patients anddifferentiate between mild and severe pathology.Concerns have been raised whether preclinical models sufficientlymimic these molecular disease profiles, bringing into question theirtranslational value in studies of therapeutic interventions in theprocess of NASH/fibrosis.Here, we applied these molecular patterns derived from human NASHin an experimental disease model, to improve the translational valueof pre-clinical efficacy studies.

10-WEEK OCA INTERVENTION ATTENUATESPROGRESSION OF NASH AND LIVER FIBROSIS

Ldlr-/-.Leiden mice displayed a hepaticgene expression profile that differentiatesbetween severe ‘progressive’ NASHpatients (fibrosis stage 3-4) and mildNASH patients (fibrosis stage 0-1)(Human gene expression data described in Moylan et al.Hepatology 2014, NCBI GEO accession GSE49541)

Ldlr-/-.Leiden serum metabolomicprofile was reflected in substantialproportion of NAFLD patients(Human Metabolomics data are described inAlonso et al. Gastroenterology 2017)

METHODSHuman NASH-based transcriptomics and metabolomics profiles werecompared to corresponding profiles from high-fat-diet (HFD) treatedLDLr-/-.Leiden mice, a preclinical model with translationalcharacteristics.Mice were profiled at the stage of mild (24 weeks HFD) and severe(34 weeks HFD) fibrosis, as well as after OCA intervention toattenuate or resolve fibrosis (treatment from 24 to 34 weeks of HFD;10 mg/kg).Effects of OCA were analyzed histologically, biochemically, by IHC,deuterated water technology (for de novo collagen formation) and thehuman-based profiles.

HUMAN NASH-BASED MOLECULAR PROFILESREFLECTED IN HFD-FED LDLR-/-.LEIDEN MICE

Ldlr-/-.Leiden mice displayed a hepaticgene expression profile that distinguishesNASH patients from healthy controls(Human gene expression data described in Teufel et al.Gastroenterology 2017, NCBI GEO accession GSE48452)

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OCA TREATMENT NORMALIZES METABOLICAND INFLAMMATORY GENE EXPRESSION

HFD vs chow HFD+OCA vs HFD

Upstream regulator activation z-score

p-value activation z-score

p-value

Chemokines CCR2 2,1 4,7E-04 n/a n/a CCL5 2,1 5,2E-09 n/a n/a CCL6 2,2 8,5E-03 n/a 3,4E-02 CXCL8 3,2 1,1E-02 n/a n/a CXCR4 2,7 7,1E-03 n/a n/a CXCL10 2,2 4,2E-02 n/a n/a CXCL12 4,1 1,0E-05 -2,4 9,1E-02 Cytokines IL1B 7,0 7,4E-35 -0,9 2,1E-06 IL2 4,4 1,3E-18 -1,7 1,6E-04 IL3 2,9 4,2E-14 -1,7 6,8E-06 IL4 2,9 5,0E-27 -0,8 9,0E-12 IL5 3,9 3,9E-16 n/a n/a IL6 4,8 7,1E-34 -1,7 3,1E-09 IL7 1,4 1,1E-02 n/a n/a IL9 2,0 1,0E+00 n/a n/a IL10 0,7 1,3E-14 -1,6 7,0E-10 IL10RA -3,9 9,5E-25 3,1 8,5E-15 IL11 1,7 2,1E-04 n/a n/a IL11RA 2,4 4,8E-02 n/a n/a IL12 (complex) 2,9 6,8E-07 -2,0 1,4E-05 IL13 2,4 1,5E-27 -2,1 4,2E-06 IL13RA2 2,0 3,5E-02 n/a n/a IL15 3,6 3,8E-07 n/a n/a IL17A 3,4 5,8E-10 n/a n/a IL17C 2,4 3,4E-01 n/a n/a IL17D 2,0 1,9E-01 n/a n/a IL18 4,3 1,5E-02 -1,2 4,1E-02 IL21 3,3 5,2E-05 n/a n/a IL27 3,9 6,2E-04 -1,1 1,1E-02 IL32 0,7 2,8E-02 n/a n/a CSF1 4,1 2,4E-13 -2,5 1,5E-04 CSF2 7,1 3,1E-21 -4,0 5,3E-08 TNF 9,2 5,4E-59 -2,4 2,0E-13 OSM 3,8 4,0E-15 -2,0 2,2E-01 MIF 2,1 5,1E-04 n/a n/a IFN Beta 3,7 1,8E-04 n/a n/a IFNG 7,3 4,9E-54 -3,7 9,5E-11 Inflammatory regulators NFkB (complex) 6,6 1,2E-19 -1,8 4,3E-02 NFKB1 4,3 1,7E-09 n/a n/a NFKB2 0,8 4,0E-02 n/a n/a NfkB1-RelA 2,2 4,3E-01 n/a n/a NFKBIA 3,7 7,3E-24 -2,3 5,7E-03 STAT1 5,8 7,8E-14 -2,7 5,6E-05 STAT3 3,1 8,1E-24 -0,5 2,7E-04 STAT4 3,3 6,5E-10 -2,7 6,8E-03 STAT5a/b 1,9 5,4E-05 -2,0 3,1E-01 Jnk 5,2 1,1E-08 -2,3 1,1E-01 ITK 3,4 1,9E-05 -3,0 1,5E-03 Ap1 3,8 7,4E-05 n/a n/a NFATC2 3,5 2,0E-02 n/a n/a TLR-signalling TLR2 1,9 1,0E-01 n/a 3,3E-02 TLR3 4,6 2,7E-05 n/a n/a TLR4 5,7 6,8E-12 -1,5 3,8E-02 TLR5 2,4 1,4E-01 n/a n/a TLR7 4,8 4,9E-03 -2,1 9,0E-02 TLR8 2,0 1,0E+00 n/a n/a TLR9 4,5 8,5E-08 -0,1 1,2E-02 MYD88 5,9 6,1E-11 -2,5 1,9E-01 Growth factors TGFB1 7,2 2,0E-66 -2,8 2,3E-19 VEGFA 2,5 1,3E-15 -2,8 1,3E-01 Oxidative stress (response) NOS2 3,7 4,7E-06 n/a n/a CAT -2,5 2,8E-04 n/a n/a SOD1 -2,2 2,8E-10 n/a 1,6E-02 NRF1 -2,1 2,0E-02 n/a n/a NRF2 -2,8 4,0E-22 1,7 8,5E-04 Metabolism-related PPARA 0,8 9,9E-42 -0,2 1,6E-18 PPARD -0,2 2,2E-10 0,8 4,0E-04 PPARG -3,3 1,8E-15 0,7 1,2E-03 PPARGC1A -3,8 3,4E-11 1,2 3,6E-05 PPARGC1B -3,7 1,5E-04 n/a n/a ACOX1 -6,7 2,3E-38 3,1 4,4E-10 SREBF1 -3,7 4,1E-18 -0,1 1,0E-03 SREBF2 -4,5 1,6E-19 n/a n/a FXR n/a -1,0E+00 3,2 8,8E-05 INSIG1 -0,1 1,6E-16 2,3 7,2E-06 INSIG2 2,8 1,2E-03 n/a n/a CYP51A1 2,7 1,3E-07 n/a n/a ChREBP -2,4 2,4E-01 n/a n/a INSR -5,8 4,2E-19 1,6 4,5E-03 CNR1 2,2 3,3E-02 -2,1 7,6E-03 ESRRA -1,6 1,1E-03 2,0 1,5E-01 CAR n/a n/a 2,2 1,0E-09

OCA NORMALIZES METABOLOMICS ANDTRANSCRIPTOMICS SIGNATURES THAT ARECHARACTERISTIC FOR NASH PATIENTS

CONCLUSIONSLdlr-/-.Leiden mice recapitulate specific molecular metabolomics andtranscriptomics signatures of NASH patients, which substantiates thetranslational value of this model.Intervention with OCA in developing fibrosis counter-regulates theeffects of HFD and normalizes human-based molecular profiles.OCA reduces collagen deposition and reticulation but does notresolve already manifest fibrosis in the period studied (10 weeks).Human molecular signatures may be used to estimate thetranslational value of preclinical models for NASH.

OCA reduced steatosis

OCA reduced inflammation

OCA attenuated fibrosis

OCA reverted HFD-induced Mx profile

Teufel geneset normalized by OCA

Moylan genes normalized by OCA

1TNO Metabolic Health Research, Leiden, the Netherlands; 2TNO Microbiology and Systems Biology, Zeist, the Netherlands; 3Triskelion B.V., Department of Pathology, Zeist, the Netherlands; 4AmsterdamMedical Center, department of Pathology, Amsterdam the Netherlands; 5OWL Metabolomics, Derio, Spain; 6Kinemed Inc., Emeryville, CA, USA; 7CIC bioGUNE, CIBERehd, Derio, Spain

Treatment with OCA had pronounced anti-inflammatory effects on specificpathways and metabolic regulators, together constituting a balancedtherapeutic approach

Ldlr-/-.Leiden HFD vs

chow

Human NASH

vs control

Ldlr-/-.Leiden HFD vs

chow

HFD HFD+OCA HFD HFD+OCA

Ldlr-/-.Leiden HFD vs

chow

Ldlr-/-.Leiden HFD + OCA

vs HFD

Ldlr-/-.Leiden HFD vs

chow

Ldlr-/-.Leiden HFD + OCA

vs HFD

[email protected] | www.tno.nl Multiphoton and SHG imaging showed reducedcollagen area and revealed effect on collagenreticulation (in thin as well as aggregated fibers).