PDE1-IN-7
PDE1-IN-7 (Compound 13h) is a selective inhibitor of bPDE1 (IC50= 10 nM). PDE1-IN-7 exhibits significant anti-fibrotic effects in a BDL-induced liver fibrosis rat model. PDE1-IN-7 can be used for research in liver fibrosis.
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- CAS No.: 3027833-49-1
- 화학식: C32H36F2N2O6S
- 분자량:614.70
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보관:
Please store the product under the recommended conditions in the Certificate of Analysis.
Biological Activity
제품 설명
IC50 & Target
[1]|
PDEI 10 nM (IC50) |
In Vitro
PDE1-IN-7 (2.5-20 μM; 48 h) effectively inhibits TGF-β-induced myofibroblast differentiation and proliferation in LX-2 cells[1].
MedChemExpress (MCE) has not independently confirmed the accuracy of these methods. They are for reference only. Further protocols information, click here.
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Cell Line:human stellate cell LX-2
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Concentration:2.5, 5, 10, 20 μM
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Incubation Time:48 h
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Result:Dose-dependently reduced the elevated expression levels of fibronectin, collagen I, and α-SMA induced by TGF-β in LX-2 cells.
In Vivo
Pharmacokinetic Analysis in SD rats[1]
| Route | Dose (mg/kg) | t1/2 (h) | Cmax (ng/mL) | AUC∞ (h)(ng·/mL) | Clobs (mL/min/kg) | MRT (h) | Vss_obs (mL/kg) |
| i.v. | 2.5 | 7.51 ± 0.64 | 25,006 ± 3082 | 6317 ± 839 | 6.56 ± 0.81 | 1.77 ± 0.07 | 698 ± 104 |
MedChemExpress (MCE) has not independently confirmed the accuracy of these methods. They are for reference only.
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Animal Model:BDL-induced hepatic fibrosis rats[1]Dosage:2.5 mg/kgAdministration:i.p.; once daily for 21 daysResult:Significantly reduced alanine transaminase (ALT), aspartate transaminase (AST) and total bile acids (TBA) levels.
Reduced structural damage to liver tissue, decreased fibrotic foci, and lowered collagen deposition levels.
Significantly reduced protein expression levels at α-SMA and collagen I levels.
Significantly increased cAMP levels.
Chemical Information
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CAS No. 3027833-49-1
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분자량 614.70
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화학식 C32H36F2N2O6S
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SMILES
O=C1N(C(C(C(OCC2CCCCC2)=O)=C(N1)C)C3=CC=C(C(OCC4CC4)=C3)OC(F)F)C(SCC5=CC=CC=C5)=O
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선적
Room temperature in continental US; may vary elsewhere.
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보관
Please store the product under the recommended conditions in the Certificate of Analysis.
Protocol
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Fibrosis/Collagen Morphometry
Fibrosis and collagen morphometry is based on the quantitative visualization of fibrillar collagen deposition in tissue sections using histochemical stains such as Sirius Red (Picrosirius Red) or Masson's trichrome, followed by image-based or polarization-enhanced analysis to estimate collagen proportional area as a surrogate of extracellular matrix accumulation during fibrotic remodeling. Sirius Red combined with polarized light microscopy enhances detection of collagen fibers due to birefringence properties, enabling more specific visualization of collagen type I and III fibrils compared to conventional bright-field histology, while whole-section or region-restricted digital morphometry reduces field-selection bias in fibrosis assessment. Alternative quantitative approaches include second harmonic generation (SHG) and two-photon excited fluorescence microscopy, which enable label-free detection of fibrillar collagen and have been validated against histological staining and biochemica
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Collagen: Sirius Red Staining
Sirius Red or picrosirius red staining is a histochemical method for visualizing collagen-rich extracellular matrix in tissue sections, and collagen fibers are detected as red-stained structures under bright-field microscopy with enhanced birefringence under polarized light. Picrosirius red is useful for assessing total collagen organization, distribution, and fibrosis burden, but polarized color should not be interpreted as a definitive collagen type I versus type III readout because color is affected by fiber orientation, thickness, and packing.
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Cell Cytotoxicity Assay
Cytotoxicity assays are usually based on the assessment of cell membrane damage, which can also be indirectly detected by measuring cell viability. Detection methods include MTT assay, CKK-8 assay, LDH assay and ATP assay, etc.
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Connective Tissue: Masson's Trichrome/Collagen Trichrome Staining
Masson’s Trichrome (collagen/trichrome staining) is a histological technique that differentially stains tissue compartments using sequential acidic dyes to distinguish collagen from muscle and cytoplasmic components based on dye affinity and tissue permeability differences, enabling visualization of fibrosis and connective tissue architecture in histological sections. The classical formulation typically uses Weigert's iron hematoxylin for nuclear staining, Biebrich scarlet-acid fuchsin for cytoplasm and muscle, and aniline blue (or light green variants) for collagen, producing a characteristic blue/green collagen signal contrasted against red cytoplasm and dark nuclei. The staining principle relies on selective displacement of smaller dye molecules by larger anionic dyes in collagen-rich regions under controlled acidified conditions, which enhances collagen-specific dye retention. This property makes the method widely used for fibrosis assessment in organs such as heart, liver, lung, a
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How to Select a Suitable Non-Mouse Animal Model
Selecting a suitable non-mouse animal model is a structured decision based on the research question, required anatomy or physiology, disease mechanism, endpoint feasibility, translational relevance, and ethical justification. Non-mouse models are preferred when mice cannot reproduce key human-relevant features, such as organ size, surgical anatomy, cardiovascular physiology, neuroanatomy, immune features, pharmacology, toxicology, or long-term clinical procedures. Candidate species may include rats, rabbits, guinea pigs, ferrets, zebrafish, pigs, sheep, goats, dogs, cats, horses, and non-human primates, but each species must be justified by its specific scientific advantage rather than convenience or tradition. Unresolved questions include how to quantify translational superiority across species, how to balance increased biological relevance against higher ethical burden, and when human-derived systems or new approach methodologies should replace animal use.
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Liver Histomorphometry
Liver histomorphometry is a quantitative histological approach used to measure structural alterations in hepatic tissue, including parenchymal loss, steatosis, fibrosis, and vascular remodeling, by combining stained tissue section analysis with stereological or computerized image-based measurements. Classical morphometric frameworks quantify volume fractions of liver compartments and fibrotic regions using systematic sampling and image analysis, enabling objective comparison of pathological changes across experimental groups. These approaches are widely applied in liver cirrhosis and fibrosis studies to reduce subjectivity in histological scoring and improve reproducibility of tissue evaluation. Recent methodological advances integrate automated image analysis and radiomics-based extraction of histological features from standard liver stains (e. g. , H&E and fibrotic stains), enabling quantitative correlation between morphometric features and fibrosis stages in non-alcoholic fatty live
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How to Choose the Right Model Animal
Choosing the right model animal is a validity-driven decision in which the species, strain, sex, age, genetic background, disease-induction method, outcome measures, and welfare burden must match the scientific question rather than laboratory tradition or convenience. A model should be selected by judging face validity, construct validity, and predictive validity: whether it resembles the human phenotype, whether it reproduces relevant mechanisms, and whether results are likely to predict human biology or treatment response. Animal studies often fail to translate because of species differences, weak disease resemblance, poor experimental design, inadequate reporting, publication bias, and underuse of randomization, blinding, and sample-size justification. Unresolved questions include how to rank competing models objectively, how much human-disease complexity must be reproduced for a given objective, and when non-animal systems such as organoids, ex vivo tissue, or computational models
순도&문서
References
Calculators
Concentration (start) × Volume (start) = Concentration (final) × Volume (final)