COX-2-IN-60
COX-2-IN-60 is a potent, orally active, and selective COX-2 inhibitor with an IC50 of 0.06 μM. COX-2-IN-60 exhibits ~100-fold selectivity over COX-1 (IC50 = 5.93 ). COX-2-IN-60 reduces oxidative stress and neuroinflammatory cytokines, and effectively counteracts epileptogenesis. COX-2-IN-60 exhibits significant anticonvulsant effects and protects against hippocampal injury by suppressing oxidative stress (reducing MDA and NO), pro-inflammatory signaling (reducing TNF-α and IL-6), and glial activationin in the Pilocarpine (HY-B0726A)-induced seizure mouse model. COX-2-IN-60 can be used for the research on neuroinflammatory and epilepsy.
For research use only. We do not sell to patients.
- CAS No.: 3073624-74-2
- Formula: C17H15BrN2O4
- Molecular Weight:391.22
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Storage:
Please store the product under the recommended conditions in the Certificate of Analysis.
Biological Activity
Description
IC50 & Target
[1]|
COX-2 0.06 μM (IC50) |
COX-1 5.93 μM (IC50) |
In Vitro
COX-2-IN-60 (compound 7b) not only forms key hydrogen bonds with Thr29, Val289, and Arg119 like Valproic acid (HY-10585), but also establishes additional bonds via its phenoxy group with Thr333 and its hydrazone carbonyl with Tyr193, thereby achieving superior binding stability[1].
MedChemExpress (MCE) has not independently confirmed the accuracy of these methods. They are for reference only. Further protocols information, click here.
In Vivo
COX-2-IN-60 suppresses seizure and achieves complete protection with no observed mortality in the Pentylenetetrazol (PTZ)-induced acute seizure mouse model[1].
MedChemExpress (MCE) has not independently confirmed the accuracy of these methods. They are for reference only.
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Animal Model:Pilocarpine (HY-B0726A)-induced seizure model[1]
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Dosage:20 mg/kg
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Administration:p.o., 30 min pre-Pilocarpine
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Result:Produced significant anticonvulsant effect. Prolonged the latency to stage 3 seizures by 188.6%. Significantly attenuated seizure progression. Significantly reduced MDA and nitrite levels by 67.15% and 41.01%, respectively. Significantly reduced cytokines by 56.95% (TNF-a) and 62.97% (IL-6). effectively mitigated excitotoxicity, as indicated by a 61.5% reduction in hippocampal glutamate levels. Downregulated glial fibrillary acidic protein (GFAP), and ionized calcium-binding adapter molecule 1 (Iba-1) by 73.91% and 49.79%, respectively.
Chemical Information
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CAS No. 3073624-74-2
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Molecular Weight 391.22
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Formula C17H15BrN2O4
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SMILES
O=C(O)COC1=CC=C(Br)C=C1/C=N/NC(CC2=CC=CC=C2)=O
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Shipping
Room temperature in continental US; may vary elsewhere.
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Storage
Please store the product under the recommended conditions in the Certificate of Analysis.
Protocols
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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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ROS/oxidative-stress fluorescent staining
ROS/oxidative-stress fluorescent staining uses cell-permeant fluorogenic probes that become fluorescent after oxidation inside cells or tissues; commonly used examples include DCFH-DA/DCFDA for broad cellular oxidant detection, DHE for superoxide-related signal detection, MitoSOX for mitochondrial superoxide-related signal detection, and CellROX probes for oxidative-stress-associated fluorescence readouts. The assay detects probe oxidation rather than a single ROS species unless the probe and analysis method have been chemically validated for that species. DCFH-DA enters cells, is deacetylated by intracellular esterases to DCFH, and produces fluorescent DCF after oxidation, so the readout is used as an operational measure of total cellular oxidative stress rather than a species-specific ROS measurement. DHE and MitoSOX can report superoxide-related oxidation, but red fluorescence alone can include non-specific ethidium-like oxidation products; HPLC or optimized spectral approaches are
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Research Protocol for Inflammation-related Diseases
The NLRP3 inflammasome is a cytosolic innate immune signaling platform that integrates priming signals and danger-signal activation to promote caspase-1 activation, maturation of IL-1β and IL-18, and gasdermin D-mediated pyroptotic cell death. The core experimental logic is to determine whether inflammatory disease phenotypes are driven by increased NLRP3 expression, ASC-containing inflammasome assembly, caspase-1 cleavage, GSDMD cleavage, and extracellular release of IL-1β/IL-18 rather than by nonspecific cell injury alone. The pathway is strongly linked to inflammation-related disease phenotypes because monosodium urate crystals activate NALP3/NLRP3 inflammasome signaling in gout-like crystal inflammation, cholesterol crystals activate NLRP3 inflammasomes in atherogenesis models, and DSS-induced intestinal inflammation has been reported to involve NLRP3 inflammasome activity. However, experimental colitis studies also show context-dependent protective effects of NLRP3 inflammasome co
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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
Purity & Documentation
References
Calculators
Concentration (start) × Volume (start) = Concentration (final) × Volume (final)