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Record Information
Version5.0
StatusDetected and Quantified
Creation Date2009-11-30 15:52:20 UTC
Update Date2022-10-24 19:44:12 UTC
HMDB IDHMDB0013288
Secondary Accession Numbers
  • HMDB13288
Metabolite Identification
Common NameNonanoylcarnitine
DescriptionNonanoylcarnitine is an acylcarnitine. More specifically, it is an nonanoic acid ester of carnitine. Acylcarnitines were first discovered more than 70 year ago (PMID: 13825279 ). It is believed that there are more than 1000 types of acylcarnitines in the human body. The general role of acylcarnitines is to transport acyl-groups (organic acids and fatty acids) from the cytoplasm into the mitochondria so that they can be broken down to produce energy.  This process is known as beta-oxidation. According to a recent review (PMID: 35710135 ), acylcarnitines (ACs) can be classified into 9 different categories depending on the type and size of their acyl-group: 1) short-chain ACs; 2) medium-chain ACs; 3) long-chain ACs; 4) very long-chain ACs; 5) hydroxy ACs; 6) branched chain ACs; 7) unsaturated ACs; 8) dicarboxylic ACs and 9) miscellaneous ACs. Short-chain ACs have acyl-groups with two to five carbons (C2-C5), medium-chain ACs have acyl-groups with six to thirteen carbons (C6-C13), long-chain ACs have acyl-groups with fourteen to twenty once carbons (C14-C21) and very long-chain ACs have acyl groups with more than 22 carbons. Nonanoylcarnitine is therefore classified as a medium chain AC. As a medium-chain acylcarnitine nonanoylcarnitine is somewhat less abundant than short-chain acylcarnitines. These are formed either through esterification with L-carnitine or through the peroxisomal metabolism of longer chain acylcarnitines (PMID: 30540494 ). Many medium-chain acylcarnitines can serve as useful markers for inherited disorders of fatty acid metabolism. It is also decreased in the blood or plasma of individuals with psoriasis (PMID: 28695330 , PMID: 33391503 ), pregnancy (PMID: 24704061 - in serum of pregnant women with fetus with CHD). It is also decreased in the urine of individuals with obesity (PMID: 26910390 ). Carnitine octanoyltransferase (CrOT, EC:2.3.1.137) is responsible for the synthesis of all medium-chain (MCAC, C5-C12) and medium-length branched-chain acylcarnitines in peroxisomes (PMID: 10486279 ). The study of acylcarnitines is an active area of research and it is likely that many novel acylcarnitines will be discovered in the coming years. It is also likely that many novel roles in health and disease will be uncovered. An excellent review of the current state of knowledge for acylcarnitines is available (PMID: 35710135 ).
Structure
Data?1582753106
Synonyms
ValueSource
3-(Nonanoyloxy)-4-(trimethylammonio)butanoateChEBI
3-(Nonanoyloxy)-4-(trimethylammonio)butanoic acidGenerator
Nonayl-L-carnitineHMDB
NonaylcarnitineHMDB
Chemical FormulaC16H31NO4
Average Molecular Weight301.4216
Monoisotopic Molecular Weight301.225308485
IUPAC Name3-(nonanoyloxy)-4-(trimethylazaniumyl)butanoate
Traditional Name3-(nonanoyloxy)-4-(trimethylammonio)butanoate
CAS Registry NumberNot Available
SMILES
CCCCCCCCC(=O)OC(CC([O-])=O)C[N+](C)(C)C
InChI Identifier
InChI=1S/C16H31NO4/c1-5-6-7-8-9-10-11-16(20)21-14(12-15(18)19)13-17(2,3)4/h14H,5-13H2,1-4H3
InChI KeyMPSPNFAQQQMFLK-UHFFFAOYSA-N
Chemical Taxonomy
Description Belongs to the class of organic compounds known as acyl carnitines. These are organic compounds containing a fatty acid with the carboxylic acid attached to carnitine through an ester bond.
KingdomOrganic compounds
Super ClassLipids and lipid-like molecules
ClassFatty Acyls
Sub ClassFatty acid esters
Direct ParentAcyl carnitines
Alternative Parents
Substituents
  • Acyl-carnitine
  • Dicarboxylic acid or derivatives
  • Tetraalkylammonium salt
  • Quaternary ammonium salt
  • Carboxylic acid ester
  • Carboxylic acid salt
  • Carboxylic acid derivative
  • Carboxylic acid
  • Organic nitrogen compound
  • Organooxygen compound
  • Organonitrogen compound
  • Organic salt
  • Hydrocarbon derivative
  • Organic oxide
  • Organopnictogen compound
  • Organic oxygen compound
  • Carbonyl group
  • Amine
  • Aliphatic acyclic compound
Molecular FrameworkAliphatic acyclic compounds
External Descriptors
Ontology
Physiological effect
Disposition
Biological locationRoute of exposureSource
Process
Role
Physical Properties
StateSolid
Experimental Molecular Properties
PropertyValueReference
Melting PointNot AvailableNot Available
Boiling PointNot AvailableNot Available
Water SolubilityNot AvailableNot Available
LogPNot AvailableNot Available
Experimental Chromatographic PropertiesNot Available
Predicted Molecular Properties
PropertyValueSource
Water Solubility0.00033 g/LALOGPS
logP-1ALOGPS
logP-1.1ChemAxon
logS-6ALOGPS
pKa (Strongest Acidic)4.22ChemAxon
pKa (Strongest Basic)-7.1ChemAxon
Physiological Charge0ChemAxon
Hydrogen Acceptor Count3ChemAxon
Hydrogen Donor Count0ChemAxon
Polar Surface Area66.43 ŲChemAxon
Rotatable Bond Count13ChemAxon
Refractivity104.87 m³·mol⁻¹ChemAxon
Polarizability35.22 ųChemAxon
Number of Rings0ChemAxon
BioavailabilityYesChemAxon
Rule of FiveYesChemAxon
Ghose FilterNoChemAxon
Veber's RuleNoChemAxon
MDDR-like RuleNoChemAxon
Predicted Chromatographic Properties

Predicted Collision Cross Sections

PredictorAdduct TypeCCS Value (Å2)Reference
DeepCCS[M+H]+173.84330932474
DeepCCS[M-H]-171.48530932474
DeepCCS[M-2H]-204.36830932474
DeepCCS[M+Na]+180.37530932474
AllCCS[M+H]+181.732859911
AllCCS[M+H-H2O]+179.132859911
AllCCS[M+NH4]+184.232859911
AllCCS[M+Na]+184.932859911
AllCCS[M-H]-182.932859911
AllCCS[M+Na-2H]-183.932859911
AllCCS[M+HCOO]-185.032859911

Predicted Kovats Retention Indices

Underivatized

MetaboliteSMILESKovats RI ValueColumn TypeReference
NonanoylcarnitineCCCCCCCCC(=O)OC(CC([O-])=O)C[N+](C)(C)C2436.1Standard polar33892256
NonanoylcarnitineCCCCCCCCC(=O)OC(CC([O-])=O)C[N+](C)(C)C1717.7Standard non polar33892256
NonanoylcarnitineCCCCCCCCC(=O)OC(CC([O-])=O)C[N+](C)(C)C1961.3Semi standard non polar33892256
Spectra

GC-MS Spectra

Spectrum TypeDescriptionSplash KeyDeposition DateSourceView
Predicted GC-MSPredicted GC-MS Spectrum - Nonanoylcarnitine GC-MS (Non-derivatized) - 70eV, Positivesplash10-00di-9200000000-5b0a4412e022a07b31a32016-09-22Wishart LabView Spectrum
Predicted GC-MSPredicted GC-MS Spectrum - Nonanoylcarnitine GC-MS (Non-derivatized) - 70eV, PositiveNot Available2021-10-12Wishart LabView Spectrum
Predicted GC-MSPredicted GC-MS Spectrum - Nonanoylcarnitine GC-MS (Non-derivatized) - 70eV, PositiveNot Available2021-10-12Wishart LabView Spectrum

MS/MS Spectra

Spectrum TypeDescriptionSplash KeyDeposition DateSourceView
Predicted LC-MS/MSPredicted LC-MS/MS Spectrum - Nonanoylcarnitine 10V, Positive-QTOFsplash10-0udi-0009000000-e69a13f756074c5f22a42021-09-24Wishart LabView Spectrum
Predicted LC-MS/MSPredicted LC-MS/MS Spectrum - Nonanoylcarnitine 20V, Positive-QTOFsplash10-0f79-9005000000-9c86c8623895de0526be2021-09-24Wishart LabView Spectrum
Predicted LC-MS/MSPredicted LC-MS/MS Spectrum - Nonanoylcarnitine 40V, Positive-QTOFsplash10-000i-9000000000-e9262cbaff8cb4ad0ba62021-09-24Wishart LabView Spectrum

NMR Spectra

Spectrum TypeDescriptionDeposition DateSourceView
Predicted 1D NMR1H NMR Spectrum (1D, 100 MHz, D2O, predicted)2021-09-16Wishart LabView Spectrum
Predicted 1D NMR13C NMR Spectrum (1D, 100 MHz, D2O, predicted)2021-09-16Wishart LabView Spectrum
Predicted 1D NMR1H NMR Spectrum (1D, 200 MHz, D2O, predicted)2021-09-16Wishart LabView Spectrum
Predicted 1D NMR13C NMR Spectrum (1D, 200 MHz, D2O, predicted)2021-09-16Wishart LabView Spectrum
Predicted 1D NMR1H NMR Spectrum (1D, 300 MHz, D2O, predicted)2021-09-16Wishart LabView Spectrum
Predicted 1D NMR13C NMR Spectrum (1D, 300 MHz, D2O, predicted)2021-09-16Wishart LabView Spectrum
Predicted 1D NMR1H NMR Spectrum (1D, 400 MHz, D2O, predicted)2021-09-16Wishart LabView Spectrum
Predicted 1D NMR13C NMR Spectrum (1D, 400 MHz, D2O, predicted)2021-09-16Wishart LabView Spectrum
Predicted 1D NMR1H NMR Spectrum (1D, 500 MHz, D2O, predicted)2021-09-16Wishart LabView Spectrum
Predicted 1D NMR13C NMR Spectrum (1D, 500 MHz, D2O, predicted)2021-09-16Wishart LabView Spectrum
Predicted 1D NMR1H NMR Spectrum (1D, 600 MHz, D2O, predicted)2021-09-16Wishart LabView Spectrum
Predicted 1D NMR13C NMR Spectrum (1D, 600 MHz, D2O, predicted)2021-09-16Wishart LabView Spectrum
Predicted 1D NMR1H NMR Spectrum (1D, 700 MHz, D2O, predicted)2021-09-16Wishart LabView Spectrum
Predicted 1D NMR13C NMR Spectrum (1D, 700 MHz, D2O, predicted)2021-09-16Wishart LabView Spectrum
Predicted 1D NMR1H NMR Spectrum (1D, 800 MHz, D2O, predicted)2021-09-16Wishart LabView Spectrum
Predicted 1D NMR13C NMR Spectrum (1D, 800 MHz, D2O, predicted)2021-09-16Wishart LabView Spectrum
Predicted 1D NMR1H NMR Spectrum (1D, 900 MHz, D2O, predicted)2021-09-16Wishart LabView Spectrum
Predicted 1D NMR13C NMR Spectrum (1D, 900 MHz, D2O, predicted)2021-09-16Wishart LabView Spectrum
Predicted 1D NMR1H NMR Spectrum (1D, 1000 MHz, D2O, predicted)2021-09-16Wishart LabView Spectrum
Predicted 1D NMR13C NMR Spectrum (1D, 1000 MHz, D2O, predicted)2021-09-16Wishart LabView Spectrum
Biological Properties
Cellular Locations
  • Extracellular
  • Membrane
Biospecimen Locations
  • Blood
  • Feces
  • Urine
Tissue LocationsNot Available
Pathways
Normal Concentrations
BiospecimenStatusValueAgeSexConditionReferenceDetails
BloodDetected and Quantified0.03 +/- 0.01 uMAdult (>18 years old)BothNormal details
BloodDetected and Quantified0.020-0.100 uMAdult (>18 years old)Both
Normal
details
BloodDetected and Quantified0.08 +/- 0.03 uMAdult (>18 years old)BothNormal details
FecesDetected and Quantified0.6 +/- 0.32 nmol/g wet fecesAdult (>18 years old)Both
Normal
details
FecesDetected and Quantified3.71 +/- 3.61 nmol/g wet fecesAdult (>18 years old)Both
Normal
details
UrineDetected and Quantified225.05 +/- 13.63 umol/mmol creatinineAdolescent (13-18 years old)Both
Normal
details
UrineDetected and Quantified0.20 (0.07-0.46) umol/mmol creatinineAdult (>18 years old)Both
Normal
details
UrineDetected and Quantified0.03-0.18 umol/mmol creatinineNewborn (0-30 days old)BothNormal details
UrineDetected and Quantified0.1(0.03-0.15) umol/mmol creatinineNewborn (0-30 days old)FemaleNormal details
UrineDetected and Quantified0.08(0.04-0.19) umol/mmol creatinineNewborn (0-30 days old)MaleNormal details
Abnormal Concentrations
BiospecimenStatusValueAgeSexConditionReferenceDetails
BloodDetected and Quantified0.0353 (0.0207) uMAdult (>18 years old)FemalePregnancy with fetus having congenital heart defect details
BloodDetected and Quantified0.059 (0.017) uMAdult (>18 years old)FemalePregnancy details
BloodDetected and Quantified0.030 +/- 0.009 uMChildren (1-13 years old)Both
Obesity
    • Metabolomics reve...
details
BloodDetected and Quantified0.033 +/- 0.012 uMChildren (1-13 years old)Both
Obesity
    • Metabolomics reve...
details
UrineDetected and Quantified153.82 +/- 7.30 umol/mmol creatinineAdolescent (13-18 years old)Both
Obese
details
Associated Disorders and Diseases
Disease References
Pregnancy
  1. Bahado-Singh RO, Ertl R, Mandal R, Bjorndahl TC, Syngelaki A, Han B, Dong E, Liu PB, Alpay-Savasan Z, Wishart DS, Nicolaides KH: Metabolomic prediction of fetal congenital heart defect in the first trimester. Am J Obstet Gynecol. 2014 Sep;211(3):240.e1-240.e14. doi: 10.1016/j.ajog.2014.03.056. Epub 2014 Apr 1. [PubMed:24704061 ]
Obesity
  1. Cho K, Moon JS, Kang JH, Jang HB, Lee HJ, Park SI, Yu KS, Cho JY: Combined untargeted and targeted metabolomic profiling reveals urinary biomarkers for discriminating obese from normal-weight adolescents. Pediatr Obes. 2017 Apr;12(2):93-101. doi: 10.1111/ijpo.12114. Epub 2016 Feb 22. [PubMed:26910390 ]
  2. Simone Wahl, Christina Holzapfel, Zhonghao Yu, Michaela Breier, Ivan Kondofersky, Christiane Fuchs, Paula Singmann, Cornelia Prehn, Jerzy Adamski, Harald Grallert, Thomas Illig, Rui Wang-Sattler, Thomas Reinehr (2013). Metabolomics reveals determinants of weight loss during lifestyle intervention in obese children. Metabolomics.
Associated OMIM IDs
DrugBank IDNot Available
Phenol Explorer Compound IDNot Available
FooDB IDFDB029365
KNApSAcK IDNot Available
Chemspider ID28533402
KEGG Compound IDNot Available
BioCyc IDNot Available
BiGG IDNot Available
Wikipedia LinkNot Available
METLIN IDNot Available
PubChem Compound53481699
PDB IDNot Available
ChEBI ID70997
Food Biomarker OntologyNot Available
VMH IDNot Available
MarkerDB IDMDB00029901
Good Scents IDNot Available
References
Synthesis ReferenceNot Available
Material Safety Data Sheet (MSDS)Not Available
General References
  1. Ferdinandusse S, Mulders J, IJlst L, Denis S, Dacremont G, Waterham HR, Wanders RJ: Molecular cloning and expression of human carnitine octanoyltransferase: evidence for its role in the peroxisomal beta-oxidation of branched-chain fatty acids. Biochem Biophys Res Commun. 1999 Sep 16;263(1):213-8. [PubMed:10486279 ]
  2. Roux A, Xu Y, Heilier JF, Olivier MF, Ezan E, Tabet JC, Junot C: Annotation of the human adult urinary metabolome and metabolite identification using ultra high performance liquid chromatography coupled to a linear quadrupole ion trap-Orbitrap mass spectrometer. Anal Chem. 2012 Aug 7;84(15):6429-37. doi: 10.1021/ac300829f. Epub 2012 Jul 17. [PubMed:22770225 ]
  3. Bahado-Singh RO, Ertl R, Mandal R, Bjorndahl TC, Syngelaki A, Han B, Dong E, Liu PB, Alpay-Savasan Z, Wishart DS, Nicolaides KH: Metabolomic prediction of fetal congenital heart defect in the first trimester. Am J Obstet Gynecol. 2014 Sep;211(3):240.e1-240.e14. doi: 10.1016/j.ajog.2014.03.056. Epub 2014 Apr 1. [PubMed:24704061 ]
  4. Simons K, Toomre D: Lipid rafts and signal transduction. Nat Rev Mol Cell Biol. 2000 Oct;1(1):31-9. [PubMed:11413487 ]
  5. Watson AD: Thematic review series: systems biology approaches to metabolic and cardiovascular disorders. Lipidomics: a global approach to lipid analysis in biological systems. J Lipid Res. 2006 Oct;47(10):2101-11. Epub 2006 Aug 10. [PubMed:16902246 ]
  6. Sethi JK, Vidal-Puig AJ: Thematic review series: adipocyte biology. Adipose tissue function and plasticity orchestrate nutritional adaptation. J Lipid Res. 2007 Jun;48(6):1253-62. Epub 2007 Mar 20. [PubMed:17374880 ]
  7. Lingwood D, Simons K: Lipid rafts as a membrane-organizing principle. Science. 2010 Jan 1;327(5961):46-50. doi: 10.1126/science.1174621. [PubMed:20044567 ]
  8. Cho K, Moon JS, Kang JH, Jang HB, Lee HJ, Park SI, Yu KS, Cho JY: Combined untargeted and targeted metabolomic profiling reveals urinary biomarkers for discriminating obese from normal-weight adolescents. Pediatr Obes. 2017 Apr;12(2):93-101. doi: 10.1111/ijpo.12114. Epub 2016 Feb 22. [PubMed:26910390 ]
  9. FRITZ IB: Action of carnitine on long chain fatty acid oxidation by liver. Am J Physiol. 1959 Aug;197:297-304. doi: 10.1152/ajplegacy.1959.197.2.297. [PubMed:13825279 ]
  10. Violante S, Achetib N, van Roermund CWT, Hagen J, Dodatko T, Vaz FM, Waterham HR, Chen H, Baes M, Yu C, Argmann CA, Houten SM: Peroxisomes can oxidize medium- and long-chain fatty acids through a pathway involving ABCD3 and HSD17B4. FASEB J. 2019 Mar;33(3):4355-4364. doi: 10.1096/fj.201801498R. Epub 2018 Dec 12. [PubMed:30540494 ]
  11. Chen C, Hou G, Zeng C, Ren Y, Chen X, Peng C: Metabolomic profiling reveals amino acid and carnitine alterations as metabolic signatures in psoriasis. Theranostics. 2021 Jan 1;11(2):754-767. doi: 10.7150/thno.51154. eCollection 2021. [PubMed:33391503 ]
  12. Ottas A, Fishman D, Okas TL, Kingo K, Soomets U: The metabolic analysis of psoriasis identifies the associated metabolites while providing computational models for the monitoring of the disease. Arch Dermatol Res. 2017 Sep;309(7):519-528. doi: 10.1007/s00403-017-1760-1. Epub 2017 Jul 10. [PubMed:28695330 ]
  13. Dambrova M, Makrecka-Kuka M, Kuka J, Vilskersts R, Nordberg D, Attwood MM, Smesny S, Sen ZD, Guo AC, Oler E, Tian S, Zheng J, Wishart DS, Liepinsh E, Schioth HB: Acylcarnitines: Nomenclature, Biomarkers, Therapeutic Potential, Drug Targets, and Clinical Trials. Pharmacol Rev. 2022 Jul;74(3):506-551. doi: 10.1124/pharmrev.121.000408. [PubMed:35710135 ]
  14. Gunstone, Frank D., John L. Harwood, and Albert J. Dijkstra (2007). The lipid handbook with CD-ROM. CRC Press.