Insulin icodec
Based on 1 Customer Validation
Insulin icodec is an Insulin (HY-P0035) analog that strongly but reversibly binds to albumin. Insulin icodec has long plasma half-life. Insulin icodec modulates insulin receptor activity, controls blood glucose levels, reduces HbA1c levels, and binds reversibly to human serum albumin. Insulin icodec can be used for the research of type 2 diabetes mellitus.
Nur für Forschungszwecke. Wir verkaufen nicht an Patienten.
- Reinheit : 95%
- CAS. Nr.: 1188379-43-2
- Formel: C280H435N71O87S6
- Molecular Weight:6380.26
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Speicherung:
Please store the product under the recommended conditions in the Certificate of Analysis.
Biologische Aktivität
Beschreibung
In Vitro
Insulin icodec (48 h at 37°C) is stable in rat, monkey, and human plasma (retaining ≥89.76% after 48 h at 37°C) but showed reduced stability in mouse plasma (82.89% retention after 48 h at 37°C)[1].
MedChemExpress (MCE) has not independently confirmed the accuracy of these methods. They are for reference only. Further protocols information, click here.
Parmacokinetics
In Vivo
MedChemExpress (MCE) has not independently confirmed the accuracy of these methods. They are for reference only.
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Animal Model:BKS-db/db mice (male, 5-6 weeks old, 30-40 g, T2DM db/db model)[1]
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Dosage:3 mg/kg; 6 mg/kg
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Administration:s.c.; every two days; 52 days
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Result:Showed similar blood glucose trend to TBE001-A-S033; reduced HbA1c levels by -7.96% (3 mg/kg) and -11.49% (6 mg/kg) relative to baseline.
Chemical Information
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CAS. Nr. 1188379-43-2
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Appearance Liquid
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Molecular Weight 6380.26
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Formel C280H435N71O87S6
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Color Colorless to light yellow
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Sequence
Chain1:Phe-Val-Asn-Gln-His-Leu-Cys-Gly-Ser-His-Leu-Val-Glu-Ala-Leu-His-Leu-Val-Cys-Gly-Glu-Arg-Gly-Phe-His-Tyr-Thr-Pro-{Lys(2OEG-γGlu-C20 diacid)} Chain2:Phe-Val-Asn-Gln-His-Leu-Cys-Gly-Ser-His-Leu-Val-Glu-Ala-Leu-His-Leu-Val-Cys-Gly-Glu-Arg-Gly-Phe-His-Tyr-Thr-Pro-Lys Chain3:{Ggu}-{Oaa}-{Oaa}(Disulfide:Chain1 Cys7-Chain2 Cys7, Disulfide:Chain1 Cys19-Chain2 Cys20, Disulfide:Chain 2 Cys6-Cys11, Amide bridge:Chain1 Lys29 to Chain3 ω-amino acid3)
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Sequence Shortening
Chain1:FVNQHLCGSHLVEALHLVCGERGFHYTP-{Lys(2OEG-γGlu-C20 diacid)}; Chain2:GIVEQCCTSICSLEQLENYCN; Chain3:{Ggu}-{Oaa}-{Oaa} (Disulfide:Chain1 Cys7-Chain2 Cys7, Disulfide:Chain1 Cys19-Chain2 Cys20, Disulfide:Chain2 Cys6-Cys11, Amide bridge:Chain1 Lys29 to Chain3 ω-amino acid3)
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Versand
Room temperature in continental US; may vary elsewhere.
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Speicherung
Please store the product under the recommended conditions in the Certificate of Analysis.
Protokoll
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Research Protocol for Endocrine Diseases
Endocrine diseases often arise from disrupted hormone production, hormone signaling, or target-tissue responsiveness; for diabetes-focused endocrine disease models, insulin signaling regulates glucose uptake, hepatic glucose output, lipid metabolism, and β-cell compensation. Type 2 diabetes develops through interacting defects in insulin resistance, β-cell dysfunction, adipose inflammation, hepatic glucose overproduction, altered incretin signaling, and ectopic lipid metabolism. A major unresolved question is whether endocrine dysfunction is driven primarily by target-tissue insulin resistance, intrinsic β-cell failure, immune/inflammatory stress, or combined multi-organ failure that differs by disease stage.
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Protocol for Pharmacokinetic Study
Pharmacokinetic studies quantify how an organism handles a drug over time through absorption, distribution, metabolism, and excretion, and the core experimental readout is the concentration-time profile of parent drug and, when relevant, metabolites in biological matrices such as plasma, whole blood, urine, bile, or tissue. Pharmacokinetic analysis links dose, route, exposure, clearance, half-life, distribution, bioavailability, and systemic exposure to drug efficacy and toxicity hypotheses rather than measuring a signaling pathway directly. The literature links pharmacokinetics to drug-development phenotypes by showing that drug metabolism and pharmacokinetics influence compound progression, exposure-response interpretation, safety margins, dosing strategy, and failure risk during discovery and development. DMPK science contributes to compound optimization by integrating physicochemical properties, in vitro metabolism, transporter behavior, in vivo exposure, and pharmacodynamic contex
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Research Protocol for Metabolic Diseases
AMP-activated protein kinase, AMPK, is a conserved cellular energy sensor that responds to reduced cellular energy status and coordinates metabolism by increasing ATP-generating catabolic pathways while suppressing ATP-consuming anabolic processes. In metabolic disease research, the AMPK pathway is experimentally relevant because it regulates hepatic lipid synthesis, fatty acid oxidation, glucose production, skeletal-muscle glucose disposal, mTORC1-linked biosynthesis, autophagy, mitochondrial homeostasis, and whole-body energy balance. The central pathway logic is that energy stress, metformin, exercise-like stimulation, or direct AMPK activators increase AMPKα Thr172 phosphorylation and downstream substrate phosphorylation, including ACC and RAPTOR. Phosphorylation of ACC suppresses lipogenesis and supports fatty acid oxidation, whereas phosphorylation of RAPTOR suppresses mTORC1 signaling and links cellular energy status to growth and protein synthesis control. The pathway is linked
Reinheit & Dokumentation
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Data Sheet (266 KB)
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SDS (251 KB)
- English - EN (251 KB)
- Français - FR (251 KB)
- Deutsch - DE (251 KB)
- Norwegian - NO (251 KB)
- Español - ES (251 KB)
- Swedish - SV (251 KB)
- Italian - IT (251 KB)
- Korean - KR (251 KB)
- Portuguese - PT (251 KB)
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Handling Instructions (2659 KB)
Verweise
[1]. Yu M, et al. Design of a novel long-acting insulin analogs by acetylation modification and compared with insulin Icodec. Sci Rep. 2025;15(1):9408. Published 2025 Mar 19. [Content Brief]
[2]. Lingvay I, et al. A Randomized, Open-Label Comparison of Once-Weekly Insulin Icodec Titration Strategies Versus Once-Daily Insulin Glargine U100. Diabetes Care. 2021;44(7):1595-1603. [Content Brief]
Calculators
Konzentration (Stammlösung) × Volumen (Stammlösung) = Konzentration (Ziellösung) × Volumen (Ziellösung)