| Literature DB >> 32606340 |
Justin Komguep Nono1,2,3, Kai Fu4,5, Thabo Mpotje1,2, Georgianna Varrone4,5, Nada Abdel Aziz1,2,6, Paballo Mosala1,2, Lerato Hlaka1,2, Severin Donald Kamdem1,2, Daigen Xu4,5, Thomas Spangenberg7, Frank Brombacher8,9.
Abstract
Tissue fibrosis underlies the majority of human mortality to date with close to half of all reported deaths having a fibrotic etiology. The progression of fibrosis is very complex and reputed irreversible once established. Although some preventive options are being reported, therapeutic options are still scarce and in very high demand, given the rise of diseases linked to fibroproliferative disorders. Our work explored four platforms, complementarily, in order to screen preventive and therapeutic potentials of the antiparasitic drug Praziquantel as a possible antifibrotic. We applied the mouse CCl4-driven liver fibrosis model, the mouse chronic schistosomiasis liver fibrosis model, as well as novel 2D and 3D human cell-based co-culture of human hepatocytes, KCs (Kupffer cells), LECs (Liver Endothelial Cells), HSCs (Hepatic Stellate Cells) and/or myofibroblasts to mimic in vivo fibrotic responses and dynamics. Praziquantel showed some effect on fibrosis marker when preventively administered before severe establishment of fibrosis. However, it failed to potently reverse already established fibrosis. Together, we provided a novel sophisticated multi-assay screening platform to test preventive and therapeutic antifibrotic candidates. We further demonstrated a direct preventive potential of Praziquantel against the onset of fibrosis and the confirmation of its lack of therapeutic potential in reversing already established fibrosis.Entities:
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Year: 2020 PMID: 32606340 PMCID: PMC7327036 DOI: 10.1038/s41598-020-67514-4
Source DB: PubMed Journal: Sci Rep ISSN: 2045-2322 Impact factor: 4.379
Figure 1Effect of PZQ on the prevention murine CCl4 liver fibrosis model. (A) experimental design. Mice were injected twice a week i.p. with CCl4 in olive oil (1:3) at a vol/weight ratio of 1 µL/g for 6 weeks. Treatment with PZQ or vehicle was initiated 3 weeks after the first CCl4 treatment for 3 additional weeks at varying doses of 50, 150 and 300 mg/kg. Animals were euthanized at week 6 post initiation of CCl4 treatment and liver samples were collected for histology and qPCR analysis of profibrotic markers (Col1a1, Col1a2, ColII, Col III and αSMA). (B) liver αsma mRNA levels (Unpaired t-test, *p < 0.0175). (C) liver αSMA protein levels around portal vein and perisinusoidal area (1-way ANOVA, ns-not significant; *p < 0.05; ***p < 0.001) (D) liver collagen mRNA levels. (Unpaired t-test, ns-not significant) (E) liver collagen protein levels, as determined by IHC stain (F). (1-way ANOVA, ns-not significant) Results are representative of 2 independent experiments with up to 15 mice per group. Data are presented as means ± SD. *p ≤ 0.05; **p ≤ 0.01; ***p ≤ 0.001.
Figure 2Praziquantel effects in the preventive 3D InSight Human Liver Fibrosis Model. (A) Experimental design. Multi-donor hepatocytes were seeded and co-cultivated with Kupffer cells, liver endothelial cells and hepatic stellate cells until aggregation into 3D microtissue for 48 h. Microtissues were then kept in culture for 2 more days and fibrosis was induced by treatment with TGF-beta for 7 days. PZQ enantiomers were added during these 7 days of treatment (at day 2 and day 5) at various concentrations (10, 33 or 100uM). Samples were collected at day 0 and day 7 of treatment for analysis of hepatic stellate cell activation markers gene expression i.e. α-SMA and collagen. A control of inhibition was also tested by addition of the TGF-beta specific inhibitor ALK5i. (B) Liver microtissues were kept in culture as indicated in (A) and kept either without supplements (Untreated control), with TGF-β1 as a positive control of induction of hepatic stellate cell activation (TGF-β1 control), with TGF-β1 and TGF-β1 signaling inhibitor (control to prove efficient inhibition of TGF- β1-induced HSC activation in our system), or cultures supplemented with TGF- β1 and different doses of PZQ enantiomers i.e. (R)-PZQ as compound 1 and (L)-PZQ as compound 2 (tests of their ability to inhibit TGF-β1-driven HSC activation). Gene expression relative to the average expression of two housekeeping genes GAPDH and B2M are shown for α-SMA (Upper panel) and Col1 (lower panel) expression. Dashed red lines indicate the expression levels in TGF-beta-only stimulated cultures as reference for statistical analyses. Results are representative of 2 biological replicates. Cpd 1: (R)-PZQ, Cpd 2: (S)-PZQ. * = p < 0.05.
Figure 3Praziquantel effects in the chronic murine schistosomiasis model of liver fibrosis. (A) Experimental design. Mice were infected percutaneously with 35 cercariae of S. mansoni and treated twice with PZQ (400 mg/kg) at week 12 post infection to clear the worms. Following anti-parasitic treatment, mice were further treated with racemic PZQ or its enantiomers (400 mg/kg) twice daily for 4 weeks and killed thereafter for analysis of liver fibrosis features. (B) CAB staining of liver sections depicting collagen deposition in blue. C. Hydroxyproline measurement in the liver biopsies of PZQ-treated mice (Unpaired t-test, ns-not significant). D. Granuloma areas surrounding trapped eggs in the liver of PZQ-treated mice (Unpaired t-test, ns-not significant). Results are representative of 2 independent experiments with 7–10 mice per group.
Figure 4Praziquantel effects in the BioMAP diversity panel. Profile of PZQ effects on the Diversity PLUS Panel. Human primary cells in the systems are used at early passage (4 or earlier) to minimize adaptation to cell culture conditions and preserve physiological signalling responses. The x-axis lists the quantitative protein-based biomarker readouts measured in each system. The Y-axis represents a log-transformed ratio of the biomarker readouts for the PZQ-treated sample over vehicle controls. The grey region around the Y-axis represents the 95% significance envelope generated from historical vehicle controls. Biomarker activities are annotated when 2 or more consecutive concentrations change in the same direction relative to vehicle controls, are outside of the significance envelope, and have at least one concentration with an effect size > 20% (|log1- ratio| > 0.1). Biomarker key activities are described as modulated if these activities increase in some systems, but decrease in others. Cytotoxicitiy is indicated on the profile plot by a thin black arrow above the X-axis, and antiproliferative effects are indicated by a thick grey arrow. All cells are from a pool of multiple donors (n = 2–6), commercially purchased and handled according to the recommendations of the manufacturers. X-axis from left to right: CCL2/MCP−1; CD106/VCAM−1; CD141/Thrombomodulin; CD142/Tissue Factor; CD54/ICAM−1; CD62E/E−Selectin;CD87/uPAR; CXCL8/IL−8; CXCL9/MIG; HLA−DR; Proliferation; SRB; CCL2/MCP−1; CCL26/Eotaxin−3; CD106/VCAM−1; CD62P/P−selectin; CD87/uPAR; SRB; VEGFR2; CCL2/MCP−1; CD106/VCAM−1; CD141/Thrombomodulin; CD142/Tissue Factor; CD40; CD62E/E−Selectin; CD69; CXCL8/IL−8; IL−1alpha; M−CSF; sPGE2; SRB; sTNF−alpha; CCL2/MCP−1; CD38; CD40; CD62E/E−Selectin; CD69; CXCL8/IL−8; CXCL9/MIG; PBMC Cytotoxicity; Proliferation; SRB; B cell Proliferation; PBMC Cytotoxicity; Secreted IgG; sIL−17A; sIL−17F; sIL−2; sIL−6; sTNF−alpha; CCL2/MCP−1; CCL26/Eotaxin−3; CD106/VCAM−1; CD54/ICAM−1; CD90; CXCL8/IL−8; IL−1alpha; Keratin 8/18; MMP−1; MMP−3; MMP−9; PAI−I; SRB; tPA; uPA; CD54/ICAM−1; CD87/uPAR; CXCL10/IP−10; CXCL11/I−TAC; CXCL8/IL−8; CXCL9/MIG; EGFR; HLA−DR; IL−1alpha; Keratin 8/18; MMP−1; MMP−9; PAI−I; SRB; tPA; uPA; CCL2/MCP−1; CD106/VCAM−1; CD141/Thrombomodulin; CD142/Tissue Factor; CD87/uPAR; CXCL8/IL−8; CXCL9/MIG; HLA−DR; IL−6; LDLR; M−CSF; PAI−I; Proliferation; Serum Amyloid A; SRB; CCL2/MCP−1; CD106/VCAM−1; CD54/ICAM−1; Collagen I; Collagen III; CXCL10/IP−10; CXCL11/I−TAC; CXCL8/IL−8; CXCL9/MIG; EGFR; M−CSF; MMP−1; PAI−I; Proliferation_72hr; SRB; TIMP−1; TIMP−2; CCL2/MCP−1; CD54/ICAM−1; CXCL10/IP−10; CXCL8/IL−8; CXCL9/MIG; IL−1alpha; MMP−9; PAI−I; SRB; TIMP−2; uPA; alpha−SM ; Actin; bFGF; CD106/VCAM−1; Collagen I; Collagen III; Collagen IV; CXCL8/IL−8; Decorin; MMP−1; PAI−I; SRB; TIMP−1; CCL2/MCP−1; CCL3/MIP−1alpha; CD106/VCAM−1; CD40; CD62E/E−Selectin; CD69; CXCL8/IL−8; IL−1alpha; M−CSF; sIL−10; SRB; SRB−Mphg.