Stearoyl-L-carnitine-d9 chloride
Stearoyl-L-carnitine-d9 chloride is the deuterium labeled Stearoyl-L-carnitine chloride. Stearoyl-L-carnitine chloride, a fatty ester lipid molecule, is an endogenous metabolite. Stearoyl-L-carnitine chloride can be used as PKC inhibitor. Stearoyl-L-carnitine chloride accumulates in β cells, leading to arrest of insulin synthesis and energy deficiency in type 2 diabetes mouse. Stearoyl-L-carnitine chloride inhibits lecithin cholesterol acyltransferase (LCAT) in rat and rabbits plasma. Stearoyl-L-carnitine chloride acts as a metabolomics biomarker for Parkinson’s disease. Stearoyl-L-carnitine chloride is a less potent inhibitor of GlyT2.
For research use only. We do not sell to patients.
- CAS No.: 2936622-19-2
- Formula: C25H41D9ClNO4
- Molecular Weight:473.18
-
Storage:
Please store the product under the recommended conditions in the Certificate of Analysis.
All Endogenous Metabolite Isoforms
More
Biological Activity
Description
In Vitro
Stable heavy isotopes of hydrogen, carbon, and other elements have been incorporated into drug molecules, largely as tracers for quantitation during the drug development process. Deuteration has gained attention because of its potential to affect the pharmacokinetic and metabolic profiles of drugs[1].
MedChemExpress (MCE) has not independently confirmed the accuracy of these methods. They are for reference only. Further protocols information, click here.
Application
1. This compound can be used as a tracer
2. This compound can be used as an internal standard for quantitative analysis by NMR, GC-MS, or LC-MS.
Chemical Information
-
CAS No. 2936622-19-2
-
Unlabeled CAS 25597-09-5
-
Molecular Weight 473.18
-
Formula C25H41D9ClNO4
-
SMILES
CCCCCCCCCCCCCCCCCC(O[C@H](CC(O)=O)C[N+](C([2H])([2H])[2H])(C([2H])([2H])[2H])C([2H])([2H])[2H])=O.[Cl-]
-
Shipping
Room temperature in continental US; may vary elsewhere.
-
Storage
Please store the product under the recommended conditions in the Certificate of Analysis.
Protocols
-
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.
-
Research Protocol for Omics Data Analysis Pipelines
Omics data analysis pipelines convert raw high-throughput measurements from genomics, transcriptomics, epigenomics, proteomics, metabolomics, or single-cell assays into quality-controlled, statistically tested, biologically interpretable results. A reproducible omics pipeline requires predefined experimental metadata, raw-data quality control, modality-specific preprocessing, normalization, statistical modeling, multiple-testing correction, biological annotation, and independent validation. RNA-seq pipelines commonly include read QC, alignment or pseudoalignment, quantification, normalization, and differential-expression testing, while single-cell pipelines additionally require cell-level QC, normalization, dimensionality reduction, clustering, cell annotation, and sample-aware differential testing. Multi-omics integration can connect molecular layers such as transcriptome, proteome, metabolome, and epigenome, but unresolved problems include batch effects, missing values, unequal featu
-
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
Purity & Documentation
References
[1]. Russak EM, et al. Impact of Deuterium Substitution on the Pharmacokinetics of Pharmaceuticals. Ann Pharmacother. 2019;53(2):211-216. [Content Brief]
[2]. Carland JE, et, al. Oleoyl-L-carnitine inhibits glycine transport by GlyT2. Br J Pharmacol. 2013 Feb;168(4):891-902. [Content Brief]
[3]. Aichler M, et al. N-acyl Taurines and Acylcarnitines Cause an Imbalance in Insulin Synthesis and Secretion Provoking β Cell Dysfunction in Type 2 Diabetes. Cell Metab. 2017 Jun 6;25(6):1334-1347.e4. [Content Brief]
[4]. Dave AM, et al. Neonatal Hypoxic-Ischemic Brain Injury Alters Brain Acylcarnitine Levels in a Mouse Model. Metabolites. 2022 May 22;12(5):467. [Content Brief]
[5]. Bell FP. Carnitine esters: novel inhibitors of plasma lecithin: cholesterol acyltransferase in experimental animals but not in man (Homo sapiens). Int J Biochem. 1983;15(2):133-6. [Content Brief]
[6]. Li XZ, et al. Cerebral metabonomics study on Parkinson's disease mice treated with extract of Acanthopanax senticosus harms. Phytomedicine. 2013 Oct 15;20(13):1219-29. [Content Brief]
[7]. da Luz G, et al. Triterpene derivative: A potential signaling pathway for the fern-9(11)-ene-2α,3β-diol on insulin secretion in pancreatic islet. Life Sci. 2016 Jun 1;154:58-65. [Content Brief]
Calculators
Concentration (start) × Volume (start) = Concentration (final) × Volume (final)