<?xml version="1.0" encoding="UTF-8"?>
<metabolite>
  <version>1.0</version>
  <creation_date>2016-09-30 22:35:03 UTC</creation_date>
  <update_date>2020-06-04 21:42:04 UTC</update_date>
  <accession>BMDB0000696</accession>
  <secondary_accessions>
    <accession>BMDB00696</accession>
  </secondary_accessions>
  <name>L-Methionine</name>
  <description>L-Methionine, also known as liquimeth or pedameth, belongs to the class of organic compounds known as methionine and derivatives. Methionine and derivatives are compounds containing methionine or a derivative thereof resulting from reaction of methionine at the amino group or the carboxy group, or from the replacement of any hydrogen of glycine by a heteroatom. L-Methionine is a drug which is used for protein synthesis including the formation of same, l-homocysteine, l-cysteine, taurine, and sulfate. L-Methionine exists as a solid, possibly soluble (in water), and a very strong basic compound (based on its pKa) molecule. L-Methionine exists in all living species, ranging from bacteria to humans. L-Methionine is a potentially toxic compound.</description>
  <synonyms>
    <synonym>(2S)-2-Amino-4-(methylsulfanyl)butanoic acid</synonym>
    <synonym>(S)-2-Amino-4-(methylthio)butanoic acid</synonym>
    <synonym>(S)-2-Amino-4-(methylthio)butyric acid</synonym>
    <synonym>(S)-Methionine</synonym>
    <synonym>L-(-)-Methionine</synonym>
    <synonym>L-alpha-Amino-gamma-methylmercaptobutyric acid</synonym>
    <synonym>L-Methionin</synonym>
    <synonym>M</synonym>
    <synonym>Met</synonym>
    <synonym>METHIONINE</synonym>
    <synonym>L-2-Amino-4methylthiobutyric acid</synonym>
    <synonym>L-Methionine Z</synonym>
    <synonym>(2S)-2-Amino-4-(methylsulfanyl)butanoate</synonym>
    <synonym>(2S)-2-Amino-4-(methylsulphanyl)butanoate</synonym>
    <synonym>(2S)-2-Amino-4-(methylsulphanyl)butanoic acid</synonym>
    <synonym>(S)-2-Amino-4-(methylthio)butanoate</synonym>
    <synonym>(S)-2-Amino-4-(methylthio)butyrate</synonym>
    <synonym>L-a-Amino-g-methylmercaptobutyrate</synonym>
    <synonym>L-a-Amino-g-methylmercaptobutyric acid</synonym>
    <synonym>L-alpha-Amino-gamma-methylmercaptobutyrate</synonym>
    <synonym>L-Α-amino-γ-methylmercaptobutyrate</synonym>
    <synonym>L-Α-amino-γ-methylmercaptobutyric acid</synonym>
    <synonym>L-2-Amino-4methylthiobutyrate</synonym>
    <synonym>(L)-Methionine</synonym>
    <synonym>(S)-(+)-Methionine</synonym>
    <synonym>(S)-2-Amino-4-(methylthio)-butanoate</synonym>
    <synonym>(S)-2-Amino-4-(methylthio)-butanoic acid</synonym>
    <synonym>2-Amino-4-(methylthio)butyrate</synonym>
    <synonym>2-Amino-4-(methylthio)butyric acid</synonym>
    <synonym>2-Amino-4-methylthiobutanoate</synonym>
    <synonym>2-Amino-4-methylthiobutanoic acid</synonym>
    <synonym>a-Amino-g-methylmercaptobutyrate</synonym>
    <synonym>a-Amino-g-methylmercaptobutyric acid</synonym>
    <synonym>Acimethin</synonym>
    <synonym>alpha-Amino-alpha-aminobutyric acid</synonym>
    <synonym>alpha-Amino-gamma-methylmercaptobutyrate</synonym>
    <synonym>alpha-Amino-gamma-methylmercaptobutyric acid</synonym>
    <synonym>Cymethion</synonym>
    <synonym>g-Methylthio-a-aminobutyrate</synonym>
    <synonym>g-Methylthio-a-aminobutyric acid</synonym>
    <synonym>gamma-Methylthio-alpha-aminobutyrate</synonym>
    <synonym>gamma-Methylthio-alpha-aminobutyric acid</synonym>
    <synonym>H-Met-H</synonym>
    <synonym>H-Met-OH</synonym>
    <synonym>L(-)-Amino-alpha-amino-alpha-aminobutyric acid</synonym>
    <synonym>L(-)-Amino-gamma-methylthiobutyric acid</synonym>
    <synonym>L-2-Amino-4-(methylthio)butyric acid</synonym>
    <synonym>L-2-Amino-4-methylthiobutyric acid</synonym>
    <synonym>L-a-Amino-g-methylthiobutyrate</synonym>
    <synonym>L-a-Amino-g-methylthiobutyric acid</synonym>
    <synonym>L-alpha-Amino-gamma-methylthiobutyrate</synonym>
    <synonym>L-alpha-Amino-gamma-methylthiobutyric acid</synonym>
    <synonym>L-gamma-Methylthio-alpha-aminobutyric acid</synonym>
    <synonym>L-Methioninum</synonym>
    <synonym>Liquimeth</synonym>
    <synonym>Mepron</synonym>
    <synonym>Methilanin</synonym>
    <synonym>Methioninum</synonym>
    <synonym>Metionina</synonym>
    <synonym>Neo-methidin</synonym>
    <synonym>Poly-L-methionine</synonym>
    <synonym>Polymethionine</synonym>
    <synonym>S-Methionine</synonym>
    <synonym>S-Methyl-L-homocysteine</synonym>
    <synonym>Toxin war</synonym>
    <synonym>L-Isomer methionine</synonym>
    <synonym>Methionine, L-isomer</synonym>
    <synonym>Pedameth</synonym>
    <synonym>Methionine, L isomer</synonym>
    <synonym>(3R,3'r,6S)-4,5-DIDEHYDRO-5,6-dihydro-BETA,BETA-carotene-3,3'-diol</synonym>
    <synonym>Bo-xan</synonym>
    <synonym>e 161b</synonym>
    <synonym>Xanthophyll</synonym>
    <synonym>(3R,3'r,6S)-4,5-DIDEHYDRO-5,6-dihydro-b,b-carotene-3,3'-diol</synonym>
    <synonym>(3R,3'r,6S)-4,5-DIDEHYDRO-5,6-dihydro-β,β-carotene-3,3'-diol</synonym>
  </synonyms>
  <chemical_formula>C5H11NO2S</chemical_formula>
  <average_molecular_weight>149.211</average_molecular_weight>
  <monisotopic_moleculate_weight>149.051049291</monisotopic_moleculate_weight>
  <iupac_name>(2S)-2-amino-4-(methylsulfanyl)butanoic acid</iupac_name>
  <traditional_iupac>L-methionine</traditional_iupac>
  <cas_registry_number>63-68-3</cas_registry_number>
  <smiles>CSCC[C@H](N)C(O)=O</smiles>
  <inchi>InChI=1S/C5H11NO2S/c1-9-3-2-4(6)5(7)8/h4H,2-3,6H2,1H3,(H,7,8)/t4-/m0/s1</inchi>
  <inchikey>FFEARJCKVFRZRR-BYPYZUCNSA-N</inchikey>
  <taxonomy>
    <description> belongs to the class of organic compounds known as methionine and derivatives. Methionine and derivatives are compounds containing methionine or a derivative thereof resulting from reaction of methionine at the amino group or the carboxy group, or from the replacement of any hydrogen of glycine by a heteroatom.</description>
    <kingdom>Organic compounds</kingdom>
    <super_class>Organic acids and derivatives</super_class>
    <class>Carboxylic acids and derivatives</class>
    <sub_class>Amino acids, peptides, and analogues</sub_class>
    <direct_parent>Methionine and derivatives</direct_parent>
    <alternative_parents>
      <alternative_parent>Amino acids</alternative_parent>
      <alternative_parent>Carbonyl compounds</alternative_parent>
      <alternative_parent>Carboxylic acids</alternative_parent>
      <alternative_parent>Dialkylthioethers</alternative_parent>
      <alternative_parent>Hydrocarbon derivatives</alternative_parent>
      <alternative_parent>L-alpha-amino acids</alternative_parent>
      <alternative_parent>Monoalkylamines</alternative_parent>
      <alternative_parent>Monocarboxylic acids and derivatives</alternative_parent>
      <alternative_parent>Organic oxides</alternative_parent>
      <alternative_parent>Organopnictogen compounds</alternative_parent>
      <alternative_parent>Sulfenyl compounds</alternative_parent>
      <alternative_parent>Thia fatty acids</alternative_parent>
    </alternative_parents>
    <substituents>
      <substituent>Aliphatic acyclic compound</substituent>
      <substituent>Alpha-amino acid</substituent>
      <substituent>Amine</substituent>
      <substituent>Amino acid</substituent>
      <substituent>Carbonyl group</substituent>
      <substituent>Carboxylic acid</substituent>
      <substituent>Dialkylthioether</substituent>
      <substituent>Fatty acid</substituent>
      <substituent>Fatty acyl</substituent>
      <substituent>Hydrocarbon derivative</substituent>
      <substituent>L-alpha-amino acid</substituent>
      <substituent>Methionine or derivatives</substituent>
      <substituent>Monocarboxylic acid or derivatives</substituent>
      <substituent>Organic nitrogen compound</substituent>
      <substituent>Organic oxide</substituent>
      <substituent>Organic oxygen compound</substituent>
      <substituent>Organonitrogen compound</substituent>
      <substituent>Organooxygen compound</substituent>
      <substituent>Organopnictogen compound</substituent>
      <substituent>Organosulfur compound</substituent>
      <substituent>Primary aliphatic amine</substituent>
      <substituent>Primary amine</substituent>
      <substituent>Sulfenyl compound</substituent>
      <substituent>Thia fatty acid</substituent>
      <substituent>Thioether</substituent>
    </substituents>
    <molecular_framework>Aliphatic acyclic compounds</molecular_framework>
    <external_descriptors>
      <external_descriptor>Common amino acids</external_descriptor>
      <external_descriptor>L-alpha-amino acid</external_descriptor>
      <external_descriptor>aspartate family amino acid</external_descriptor>
      <external_descriptor>methionine</external_descriptor>
      <external_descriptor>proteinogenic amino acid</external_descriptor>
    </external_descriptors>
  </taxonomy>
  <experimental_properties>
    <state>Solid</state>
    <property>
      <kind>melting_point</kind>
      <value>284 °C</value>
      <source/>
    </property>
    <property>
      <kind>water_solubility</kind>
      <value>56.6 mg/mL</value>
      <source>YALKOWSKY,SH &amp; DANNENFELSER,RM (1992)</source>
    </property>
    <property>
      <kind>logp</kind>
      <value>-1.87</value>
      <source>HANSCH,C ET AL. (1995)</source>
    </property>
  </experimental_properties>
  <predicted_properties>
    <property>
      <kind>logp</kind>
      <value>-1.85</value>
      <source>ALOGPS</source>
    </property>
    <property>
      <kind>logs</kind>
      <value>-0.80</value>
      <source>ALOGPS</source>
    </property>
    <property>
      <kind>logp</kind>
      <value>-2.2</value>
      <source>ChemAxon</source>
    </property>
    <property>
      <kind>pka_strongest_acidic</kind>
      <value>2.53</value>
      <source>ChemAxon</source>
    </property>
    <property>
      <kind>pka_strongest_basic</kind>
      <value>9.5</value>
      <source>ChemAxon</source>
    </property>
    <property>
      <kind>iupac</kind>
      <value>(2S)-2-amino-4-(methylsulfanyl)butanoic acid</value>
      <source>ChemAxon</source>
    </property>
    <property>
      <kind>average_mass</kind>
      <value>149.211</value>
      <source>ChemAxon</source>
    </property>
    <property>
      <kind>mono_mass</kind>
      <value>149.051049291</value>
      <source>ChemAxon</source>
    </property>
    <property>
      <kind>smiles</kind>
      <value>CSCC[C@H](N)C(O)=O</value>
      <source>ChemAxon</source>
    </property>
    <property>
      <kind>formula</kind>
      <value>C5H11NO2S</value>
      <source>ChemAxon</source>
    </property>
    <property>
      <kind>inchi</kind>
      <value>InChI=1S/C5H11NO2S/c1-9-3-2-4(6)5(7)8/h4H,2-3,6H2,1H3,(H,7,8)/t4-/m0/s1</value>
      <source>ChemAxon</source>
    </property>
    <property>
      <kind>inchikey</kind>
      <value>FFEARJCKVFRZRR-BYPYZUCNSA-N</value>
      <source>ChemAxon</source>
    </property>
    <property>
      <kind>polar_surface_area</kind>
      <value>63.32</value>
      <source>ChemAxon</source>
    </property>
    <property>
      <kind>refractivity</kind>
      <value>37.59</value>
      <source>ChemAxon</source>
    </property>
    <property>
      <kind>polarizability</kind>
      <value>15.5</value>
      <source>ChemAxon</source>
    </property>
    <property>
      <kind>rotatable_bond_count</kind>
      <value>4</value>
      <source>ChemAxon</source>
    </property>
    <property>
      <kind>acceptor_count</kind>
      <value>3</value>
      <source>ChemAxon</source>
    </property>
    <property>
      <kind>donor_count</kind>
      <value>2</value>
      <source>ChemAxon</source>
    </property>
    <property>
      <kind>physiological_charge</kind>
      <value>0</value>
      <source>ChemAxon</source>
    </property>
    <property>
      <kind>formal_charge</kind>
      <value>0</value>
      <source>ChemAxon</source>
    </property>
    <property>
      <kind>number_of_rings</kind>
      <value>0</value>
      <source>ChemAxon</source>
    </property>
    <property>
      <kind>bioavailability</kind>
      <value>1</value>
      <source>ChemAxon</source>
    </property>
    <property>
      <kind>rule_of_five</kind>
      <value>Yes</value>
      <source>ChemAxon</source>
    </property>
    <property>
      <kind>ghose_filter</kind>
      <value>Yes</value>
      <source>ChemAxon</source>
    </property>
    <property>
      <kind>veber_rule</kind>
      <value>Yes</value>
      <source>ChemAxon</source>
    </property>
    <property>
      <kind>mddr_like_rule</kind>
      <value>Yes</value>
      <source>ChemAxon</source>
    </property>
  </predicted_properties>
  <pathways>
    <pathway>
      <name>Betaine Metabolism</name>
      <smpdb_id>SMP0087182</smpdb_id>
      <kegg_map_id/>
    </pathway>
    <pathway>
      <name>Glycine and Serine Metabolism</name>
      <smpdb_id>SMP0087245</smpdb_id>
      <kegg_map_id/>
    </pathway>
    <pathway>
      <name>Methionine Metabolism</name>
      <smpdb_id>SMP0087249</smpdb_id>
      <kegg_map_id/>
    </pathway>
    <pathway>
      <name>Protein Synthesis: Methionine</name>
      <smpdb_id>SMP0119405</smpdb_id>
      <kegg_map_id/>
    </pathway>
    <pathway>
      <name>Spermidine and Spermine Biosynthesis</name>
      <smpdb_id>SMP0087213</smpdb_id>
      <kegg_map_id/>
    </pathway>
  </pathways>
  <spectra>
    <spectrum>
      <type>Specdb::MsIr</type>
      <spectrum_id>751</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::MsIr</type>
      <spectrum_id>752</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::MsIr</type>
      <spectrum_id>753</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::NmrTwoD</type>
      <spectrum_id>1031</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::NmrTwoD</type>
      <spectrum_id>1430</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::CMs</type>
      <spectrum_id>615</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::CMs</type>
      <spectrum_id>616</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::CMs</type>
      <spectrum_id>617</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::CMs</type>
      <spectrum_id>1109</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::CMs</type>
      <spectrum_id>1204</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::CMs</type>
      <spectrum_id>2922</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::CMs</type>
      <spectrum_id>30046</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::CMs</type>
      <spectrum_id>30208</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::CMs</type>
      <spectrum_id>30604</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::CMs</type>
      <spectrum_id>30730</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::CMs</type>
      <spectrum_id>30770</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::CMs</type>
      <spectrum_id>31197</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::CMs</type>
      <spectrum_id>31198</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::CMs</type>
      <spectrum_id>37701</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::CMs</type>
      <spectrum_id>170485</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::CMs</type>
      <spectrum_id>1072495</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::CMs</type>
      <spectrum_id>1072497</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::CMs</type>
      <spectrum_id>1072499</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::MsMs</type>
      <spectrum_id>969</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::MsMs</type>
      <spectrum_id>970</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::MsMs</type>
      <spectrum_id>971</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::MsMs</type>
      <spectrum_id>4441</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::MsMs</type>
      <spectrum_id>4442</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::MsMs</type>
      <spectrum_id>4443</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::MsMs</type>
      <spectrum_id>4444</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::MsMs</type>
      <spectrum_id>4445</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::MsMs</type>
      <spectrum_id>4446</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::MsMs</type>
      <spectrum_id>4447</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::MsMs</type>
      <spectrum_id>4448</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::MsMs</type>
      <spectrum_id>4449</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::MsMs</type>
      <spectrum_id>4450</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::MsMs</type>
      <spectrum_id>4451</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::MsMs</type>
      <spectrum_id>4452</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::MsMs</type>
      <spectrum_id>4453</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::MsMs</type>
      <spectrum_id>4454</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::MsMs</type>
      <spectrum_id>4455</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::MsMs</type>
      <spectrum_id>4456</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::MsMs</type>
      <spectrum_id>4457</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::MsMs</type>
      <spectrum_id>4458</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::MsMs</type>
      <spectrum_id>4462</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::MsMs</type>
      <spectrum_id>4463</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::MsMs</type>
      <spectrum_id>179109</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::MsMs</type>
      <spectrum_id>179110</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::NmrOneD</type>
      <spectrum_id>1254</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::NmrOneD</type>
      <spectrum_id>1484</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::NmrOneD</type>
      <spectrum_id>4840</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::NmrOneD</type>
      <spectrum_id>20602</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::NmrOneD</type>
      <spectrum_id>20603</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::NmrOneD</type>
      <spectrum_id>20604</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::NmrOneD</type>
      <spectrum_id>20605</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::NmrOneD</type>
      <spectrum_id>20606</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::NmrOneD</type>
      <spectrum_id>20607</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::NmrOneD</type>
      <spectrum_id>20608</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::NmrOneD</type>
      <spectrum_id>20609</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::NmrOneD</type>
      <spectrum_id>20610</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::NmrOneD</type>
      <spectrum_id>20611</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::NmrOneD</type>
      <spectrum_id>20612</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::NmrOneD</type>
      <spectrum_id>20613</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::NmrOneD</type>
      <spectrum_id>20614</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::NmrOneD</type>
      <spectrum_id>20615</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::NmrOneD</type>
      <spectrum_id>20616</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::NmrOneD</type>
      <spectrum_id>20617</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::NmrOneD</type>
      <spectrum_id>20618</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::NmrOneD</type>
      <spectrum_id>20619</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::NmrOneD</type>
      <spectrum_id>20620</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::NmrOneD</type>
      <spectrum_id>20621</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::NmrOneD</type>
      <spectrum_id>166452</spectrum_id>
    </spectrum>
  </spectra>
  <normal_concentrations>
    <concentration>
      <biospecimen>Blood</biospecimen>
      <concentration_value>20.8</concentration_value>
      <concentration_units>uM</concentration_units>
      <comment>Detected by GC/MS</comment>
      <references>
        <reference>
          <reference_text>Allison GG, Horton RA, Rees Stevens P, Jackman R, Moorby JM: Changes in plasma metabolites and muscle glycogen are correlated to bovine spongiform encephalopathy in infected dairy cattle. Res Vet Sci. 2007 Aug;83(1):40-6. doi: 10.1016/j.rvsc.2006.11.008. Epub 2007 Jan  2.</reference_text>
          <pubmed_id>17197001</pubmed_id>
        </reference>
      </references>
    </concentration>
    <concentration>
      <biospecimen>Blood</biospecimen>
      <concentration_value/>
      <concentration_units/>
      <references>
        <reference>
          <reference_text>Jiyuan Li, Everestus C. Akanno, Tiago Valente, Mohammed Abo-Ismail, Brian Karisa, Zhiquan Wang, Graham S. Plastow.  Genomic heritability and genome-wide association studies of plasma metabolites in crossbred beef cattle. (in preparation)</reference_text>
          <pubmed_id/>
        </reference>
      </references>
    </concentration>
    <concentration>
      <biospecimen>Blood</biospecimen>
      <concentration_value/>
      <concentration_units/>
      <comment>Detected by NMR</comment>
      <references>
        <reference>
          <reference_text>De Buck J, Shaykhutdinov R, Barkema HW, Vogel HJ: Metabolomic profiling in cattle experimentally infected with Mycobacterium avium subsp. paratuberculosis. PLoS One. 2014 Nov 5;9(11):e111872. doi: 10.1371/journal.pone.0111872. eCollection 2014.</reference_text>
          <pubmed_id>25372282</pubmed_id>
        </reference>
      </references>
    </concentration>
    <concentration>
      <biospecimen>Blood</biospecimen>
      <concentration_value>22-29</concentration_value>
      <concentration_units>uM</concentration_units>
      <comment>Ion exchange chromatography with fluorometric detection</comment>
      <references>
        <reference>
          <reference_text>Greenwood RH, Titgemeyer EC, Stokka GL, Drouillard JS, Loest CA: Effects of L-carnitine on nitrogen retention and blood metabolites of growing steers and performance of finishing steers. J Anim Sci. 2001 Jan;79(1):254-60. doi: 10.2527/2001.791254x.</reference_text>
          <pubmed_id>11204708</pubmed_id>
        </reference>
      </references>
    </concentration>
    <concentration>
      <biospecimen>Blood</biospecimen>
      <concentration_value>27.9</concentration_value>
      <concentration_units>uM</concentration_units>
      <references>
        <reference>
          <reference_text>Wessels RH, Titgemeyer EC, St Jean G: Effect of amino acid supplementation on whole-body protein turnover in Holstein steers. J Anim Sci. 1997 Nov;75(11):3066-73.</reference_text>
          <pubmed_id>9374324</pubmed_id>
        </reference>
      </references>
    </concentration>
    <concentration>
      <biospecimen>Blood</biospecimen>
      <concentration_value>46-52</concentration_value>
      <concentration_units>uM</concentration_units>
      <comment>Chromatography with spectrophotometric detection</comment>
      <references>
        <reference>
          <reference_text>Motyl T, Barej W: Plasma amino acid indices and urinary 3-methyl histidine excretion in dairy cows in early lactation. Ann Rech Vet. 1986;17(2):153-7.</reference_text>
          <pubmed_id>3535614</pubmed_id>
        </reference>
      </references>
    </concentration>
    <concentration>
      <biospecimen>Blood</biospecimen>
      <concentration_value>34 +/- 4</concentration_value>
      <concentration_units>uM</concentration_units>
      <comment>By LC-MS/MS &amp; NMR</comment>
      <references>
        <reference>
          <reference_text>Aidin Foroutan, Carolyn Fitzsimmons, Rupasri Mandal, Hamed Piri‐Moghadam, Jiamin Zheng, AnChi Guo, Carin Li, Le Luo Guan and David S. Wishart. The Bovine Metabolome. Metabolites 2020, 10, 233; doi:10.3390/metabo10060233</reference_text>
          <pubmed_id/>
        </reference>
      </references>
    </concentration>
    <concentration>
      <biospecimen>Blood</biospecimen>
      <concentration_value>18-29</concentration_value>
      <concentration_units>uM</concentration_units>
      <comment>By HPLC</comment>
      <references>
        <reference>
          <reference_text>Zhou Z, Vailati-Riboni M, Luchini DN, Loor JJ: Methionine and Choline Supply during the Periparturient Period Alter Plasma Amino Acid and One-Carbon Metabolism Profiles to Various Extents: Potential Role in Hepatic Metabolism and Antioxidant Status. Nutrients. 2016 Dec 29;9(1). pii: nu9010010. doi: 10.3390/nu9010010.</reference_text>
          <pubmed_id>28036059</pubmed_id>
        </reference>
      </references>
    </concentration>
    <concentration>
      <biospecimen>Blood</biospecimen>
      <concentration_value/>
      <concentration_units/>
      <comment>Detected by DFI-MS/MS (P180) in periparturient Holstein cows.</comment>
      <references>
        <reference>
          <reference_text>Hailemariam D, Mandal R, Saleem F, Dunn SM, Wishart DS, Ametaj BN: Identification of predictive biomarkers of disease state in transition dairy cows. J Dairy Sci. 2014 May;97(5):2680-93. doi: 10.3168/jds.2013-6803. Epub 2014 Mar 13.</reference_text>
          <pubmed_id>24630653</pubmed_id>
        </reference>
      </references>
    </concentration>
    <concentration>
      <biospecimen>Colostrum</biospecimen>
      <concentration_value/>
      <concentration_units/>
      <comment>Detected by NMR</comment>
      <references>
        <reference>
          <reference_text>Zanardi E, Caligiani A, Palla L, Mariani M, Ghidini S, Di Ciccio PA, Palla G, Ianieri A: Metabolic profiling by (1)H NMR of ground beef irradiated at different irradiation doses. Meat Sci. 2015 May;103:83-9. doi: 10.1016/j.meatsci.2015.01.005. Epub 2015 Jan 15.</reference_text>
          <pubmed_id>25637742</pubmed_id>
        </reference>
      </references>
    </concentration>
    <concentration>
      <biospecimen>Fibroblasts</biospecimen>
      <concentration_value/>
      <concentration_units/>
      <references>
        <reference>
          <reference_text>Wishart DS, Feunang YD, Marcu A, Guo AC, Liang K, Vazquez-Fresno R, Sajed T, Johnson D, Li C, Karu N, Sayeeda Z, Lo E, Assempour N, Berjanskii M, Singhal S, Arndt D, Liang Y, Badran H, Grant J, Serra-Cayuela A, Liu Y, Mandal R, Neveu V, Pon A, Knox C, Wilson M, Manach C, Scalbert A: HMDB 4.0: the human metabolome database for 2018. Nucleic Acids Res. 2018 Jan 4;46(D1):D608-D617. doi: 10.1093/nar/gkx1089.</reference_text>
          <pubmed_id>29140435</pubmed_id>
        </reference>
      </references>
    </concentration>
    <concentration>
      <biospecimen>Kidney</biospecimen>
      <concentration_value/>
      <concentration_units/>
      <references>
        <reference>
          <reference_text>Wishart DS, Feunang YD, Marcu A, Guo AC, Liang K, Vazquez-Fresno R, Sajed T, Johnson D, Li C, Karu N, Sayeeda Z, Lo E, Assempour N, Berjanskii M, Singhal S, Arndt D, Liang Y, Badran H, Grant J, Serra-Cayuela A, Liu Y, Mandal R, Neveu V, Pon A, Knox C, Wilson M, Manach C, Scalbert A: HMDB 4.0: the human metabolome database for 2018. Nucleic Acids Res. 2018 Jan 4;46(D1):D608-D617. doi: 10.1093/nar/gkx1089.</reference_text>
          <pubmed_id>29140435</pubmed_id>
        </reference>
      </references>
    </concentration>
    <concentration>
      <biospecimen>Liver</biospecimen>
      <concentration_value/>
      <concentration_units/>
      <comment>Metabolomics analysis was performed using GC-MS/LC-MS in multiparous Holstein dairy cows</comment>
      <references>
        <reference>
          <reference_text>Shahzad K, Lopreiato V, Liang Y, Trevisi E, Osorio JS, Xu C, Loor JJ: Hepatic metabolomics and transcriptomics to study susceptibility to ketosis in response to prepartal nutritional management. J Anim Sci Biotechnol. 2019 Dec 18;10:96. doi: 10.1186/s40104-019-0404-z. eCollection 2019.</reference_text>
          <pubmed_id>31867104</pubmed_id>
        </reference>
      </references>
    </concentration>
    <concentration>
      <biospecimen>Liver</biospecimen>
      <concentration_value>54 +/- 16</concentration_value>
      <concentration_units>nmol/g of tissue</concentration_units>
      <comment>By LC-MS/MS &amp; NMR</comment>
      <references>
        <reference>
          <reference_text>Aidin Foroutan, Carolyn Fitzsimmons, Rupasri Mandal, Hamed Piri‐Moghadam, Jiamin Zheng, AnChi Guo, Carin Li, Le Luo Guan and David S. Wishart. The Bovine Metabolome. Metabolites 2020, 10, 233; doi:10.3390/metabo10060233</reference_text>
          <pubmed_id/>
        </reference>
      </references>
    </concentration>
    <concentration>
      <biospecimen>Longissimus Thoracis Muscle</biospecimen>
      <concentration_value>34 +/- 10</concentration_value>
      <concentration_units>nmol/g of tissue</concentration_units>
      <comment>By LC-MS/MS &amp; NMR</comment>
      <references>
        <reference>
          <reference_text>Aidin Foroutan, Carolyn Fitzsimmons, Rupasri Mandal, Hamed Piri‐Moghadam, Jiamin Zheng, AnChi Guo, Carin Li, Le Luo Guan and David S. Wishart. The Bovine Metabolome. Metabolites 2020, 10, 233; doi:10.3390/metabo10060233</reference_text>
          <pubmed_id/>
        </reference>
      </references>
    </concentration>
    <concentration>
      <biospecimen>Mammary Gland</biospecimen>
      <concentration_value/>
      <concentration_units/>
      <comment>8 multiparous Chinese Holstein dairy cows fed in the Hangzhou Hangjiang Dairy Farm based on the milk production under alfalfa hay based diets. Detection used gas chromatography time-of-flight/mass spectrometry (GC-TOF/MS) platform.</comment>
      <references>
        <reference>
          <reference_text>Sun HZ, Zhou M, Wang O, Chen Y, Liu JX, Guan LL: Multi-omics reveals functional genomic and metabolic mechanisms of milk production and quality in dairy cows. Bioinformatics. 2020 Apr 15;36(8):2530-2537. doi: 10.1093/bioinformatics/btz951.</reference_text>
          <pubmed_id>31873721</pubmed_id>
        </reference>
      </references>
    </concentration>
    <concentration>
      <biospecimen>Mammary Gland</biospecimen>
      <concentration_value/>
      <concentration_units/>
      <comment>8 multiparous Chinese Holstein dairy cows fed in the Hangzhou Hangjiang Dairy Farm based on the milk production under corn stover based diets. Detection used gas chromatography time-of-flight/mass spectrometry (GC-TOF/MS) platform.</comment>
      <references>
        <reference>
          <reference_text>Sun HZ, Zhou M, Wang O, Chen Y, Liu JX, Guan LL: Multi-omics reveals functional genomic and metabolic mechanisms of milk production and quality in dairy cows. Bioinformatics. 2020 Apr 15;36(8):2530-2537. doi: 10.1093/bioinformatics/btz951.</reference_text>
          <pubmed_id>31873721</pubmed_id>
        </reference>
      </references>
    </concentration>
    <concentration>
      <biospecimen>Milk</biospecimen>
      <concentration_value>1.0 +/- 0.1</concentration_value>
      <concentration_units>uM</concentration_units>
      <comment>Commercial 1% milk by LC-HRMS</comment>
      <references>
        <reference>
          <reference_text>Foroutan A, Guo AC, Vazquez-Fresno R, Lipfert M, Zhang L, Zheng J, Badran H, Budinski Z, Mandal R, Ametaj BN, Wishart DS: Chemical Composition of Commercial Cow's Milk. J Agric Food Chem. 2019 Apr 17. doi: 10.1021/acs.jafc.9b00204.</reference_text>
          <pubmed_id>30994344</pubmed_id>
        </reference>
      </references>
    </concentration>
    <concentration>
      <biospecimen>Milk</biospecimen>
      <concentration_value>0.9 +/- 0.1</concentration_value>
      <concentration_units>uM</concentration_units>
      <comment>Commercial 2% milk by LC-HRMS</comment>
      <references>
        <reference>
          <reference_text>Foroutan A, Guo AC, Vazquez-Fresno R, Lipfert M, Zhang L, Zheng J, Badran H, Budinski Z, Mandal R, Ametaj BN, Wishart DS: Chemical Composition of Commercial Cow's Milk. J Agric Food Chem. 2019 Apr 17. doi: 10.1021/acs.jafc.9b00204.</reference_text>
          <pubmed_id>30994344</pubmed_id>
        </reference>
      </references>
    </concentration>
    <concentration>
      <biospecimen>Milk</biospecimen>
      <concentration_value>1.0 +/- 0.1</concentration_value>
      <concentration_units>uM</concentration_units>
      <comment>Commercial 3.25% milk by LC-HRMS</comment>
      <references>
        <reference>
          <reference_text>Foroutan A, Guo AC, Vazquez-Fresno R, Lipfert M, Zhang L, Zheng J, Badran H, Budinski Z, Mandal R, Ametaj BN, Wishart DS: Chemical Composition of Commercial Cow's Milk. J Agric Food Chem. 2019 Apr 17. doi: 10.1021/acs.jafc.9b00204.</reference_text>
          <pubmed_id>30994344</pubmed_id>
        </reference>
      </references>
    </concentration>
    <concentration>
      <biospecimen>Milk</biospecimen>
      <concentration_value>1.0 +/- 0.1</concentration_value>
      <concentration_units>uM</concentration_units>
      <comment>Commercial skim milk by LC-HRMS</comment>
      <references>
        <reference>
          <reference_text>Foroutan A, Guo AC, Vazquez-Fresno R, Lipfert M, Zhang L, Zheng J, Badran H, Budinski Z, Mandal R, Ametaj BN, Wishart DS: Chemical Composition of Commercial Cow's Milk. J Agric Food Chem. 2019 Apr 17. doi: 10.1021/acs.jafc.9b00204.</reference_text>
          <pubmed_id>30994344</pubmed_id>
        </reference>
      </references>
    </concentration>
    <concentration>
      <biospecimen>Milk</biospecimen>
      <concentration_value/>
      <concentration_units/>
      <comment>Milk samples collected from 456 Danish Holstein cows </comment>
      <references>
        <reference>
          <reference_text>Buitenhuis AJ, Sundekilde UK, Poulsen NA, Bertram HC, Larsen LB, Sorensen P: Estimation of genetic parameters and detection of quantitative trait loci for metabolites in Danish Holstein milk. J Dairy Sci. 2013 May;96(5):3285-95. doi: 10.3168/jds.2012-5914. Epub 2013 Mar 15.</reference_text>
          <pubmed_id>23497994</pubmed_id>
        </reference>
      </references>
    </concentration>
    <concentration>
      <biospecimen>Milk</biospecimen>
      <concentration_value/>
      <concentration_units/>
      <comment>407 Milk samples from Swedish Red cows</comment>
      <references>
        <reference>
          <reference_text>Sundekilde UK, Gustavsson F, Poulsen NA, Glantz M, Paulsson M, Larsen LB, Bertram HC: Association between the bovine milk metabolome and rennet-induced coagulation properties of milk. J Dairy Sci. 2014 Oct;97(10):6076-84. doi: 10.3168/jds.2014-8304. Epub 2014 Jul 30.</reference_text>
          <pubmed_id>25087032</pubmed_id>
        </reference>
      </references>
    </concentration>
    <concentration>
      <biospecimen>Milk</biospecimen>
      <concentration_value>5897.689</concentration_value>
      <concentration_units>uM</concentration_units>
      <comment>Milk, partly skim, conventional (not organic), 1.5 % fat</comment>
      <references>
        <reference>
          <reference_text>Fooddata+, The Technical University of Denmark (DTU): https://frida.fooddata.dk/QueryFood.php?fn=milk&amp;lang=en</reference_text>
        </reference>
      </references>
    </concentration>
    <concentration>
      <biospecimen>Milk</biospecimen>
      <concentration_value>5897.689</concentration_value>
      <concentration_units>uM</concentration_units>
      <comment>Milk, partly skim, organic, 1.5 % fat</comment>
      <references>
        <reference>
          <reference_text>Fooddata+, The Technical University of Denmark (DTU): https://frida.fooddata.dk/QueryFood.php?fn=milk&amp;lang=en</reference_text>
        </reference>
      </references>
    </concentration>
    <concentration>
      <biospecimen>Milk</biospecimen>
      <concentration_value>5897.689</concentration_value>
      <concentration_units>uM</concentration_units>
      <comment>Skim milk</comment>
      <references>
        <reference>
          <reference_text>Fooddata+, The Technical University of Denmark (DTU): https://frida.fooddata.dk/QueryFood.php?fn=milk&amp;lang=en</reference_text>
        </reference>
      </references>
    </concentration>
    <concentration>
      <biospecimen>Milk</biospecimen>
      <concentration_value>5897.689</concentration_value>
      <concentration_units>uM</concentration_units>
      <comment>Milk, skim, organic</comment>
      <references>
        <reference>
          <reference_text>Fooddata+, The Technical University of Denmark (DTU): https://frida.fooddata.dk/QueryFood.php?fn=milk&amp;lang=en</reference_text>
        </reference>
      </references>
    </concentration>
    <concentration>
      <biospecimen>Milk</biospecimen>
      <concentration_value>5763.65</concentration_value>
      <concentration_units>uM</concentration_units>
      <comment>Milk, whole, 3.5, (UHT), % fat</comment>
      <references>
        <reference>
          <reference_text>Fooddata+, The Technical University of Denmark (DTU): https://frida.fooddata.dk/QueryFood.php?fn=milk&amp;lang=en</reference_text>
        </reference>
      </references>
    </concentration>
    <concentration>
      <biospecimen>Milk</biospecimen>
      <concentration_value>5763.65</concentration_value>
      <concentration_units>uM</concentration_units>
      <comment>Milk, whole, conventional (not organic), 3.5 % fat</comment>
      <references>
        <reference>
          <reference_text>Fooddata+, The Technical University of Denmark (DTU): https://frida.fooddata.dk/QueryFood.php?fn=milk&amp;lang=en</reference_text>
        </reference>
      </references>
    </concentration>
    <concentration>
      <biospecimen>Milk</biospecimen>
      <concentration_value>5763.65</concentration_value>
      <concentration_units>uM</concentration_units>
      <comment>Milk, whole, organic, 3.5 % fat</comment>
      <references>
        <reference>
          <reference_text>Fooddata+, The Technical University of Denmark (DTU): https://frida.fooddata.dk/QueryFood.php?fn=milk&amp;lang=en</reference_text>
        </reference>
      </references>
    </concentration>
    <concentration>
      <biospecimen>Muscle</biospecimen>
      <concentration_value>148.53 +/- 22.45</concentration_value>
      <concentration_units>uM</concentration_units>
      <comment>Detected by NMR in Korean commercial beef sirloin.</comment>
      <references>
        <reference>
          <reference_text>Jung Y, Lee J, Kwon J, Lee KS, Ryu DH, Hwang GS: Discrimination of the geographical origin of beef by (1)H NMR-based metabolomics. J Agric Food Chem. 2010 Oct 13;58(19):10458-66. doi: 10.1021/jf102194t.</reference_text>
          <pubmed_id>20831251</pubmed_id>
        </reference>
      </references>
    </concentration>
    <concentration>
      <biospecimen>Muscle</biospecimen>
      <concentration_value>151.61 +/- 8.67</concentration_value>
      <concentration_units>uM</concentration_units>
      <comment>Detected by NMR in US commercial beef sirloin</comment>
      <references>
        <reference>
          <reference_text>Jung Y, Lee J, Kwon J, Lee KS, Ryu DH, Hwang GS: Discrimination of the geographical origin of beef by (1)H NMR-based metabolomics. J Agric Food Chem. 2010 Oct 13;58(19):10458-66. doi: 10.1021/jf102194t.</reference_text>
          <pubmed_id>20831251</pubmed_id>
        </reference>
      </references>
    </concentration>
    <concentration>
      <biospecimen>Muscle</biospecimen>
      <concentration_value/>
      <concentration_units/>
      <comment>Detected by NMR</comment>
      <references>
        <reference>
          <reference_text>Zanardi E, Caligiani A, Palla L, Mariani M, Ghidini S, Di Ciccio PA, Palla G, Ianieri A: Metabolic profiling by (1)H NMR of ground beef irradiated at different irradiation doses. Meat Sci. 2015 May;103:83-9. doi: 10.1016/j.meatsci.2015.01.005. Epub 2015 Jan 15.</reference_text>
          <pubmed_id>25637742</pubmed_id>
        </reference>
      </references>
    </concentration>
    <concentration>
      <biospecimen>Muscle</biospecimen>
      <concentration_value>168.81 +/- 20.31</concentration_value>
      <concentration_units>uM</concentration_units>
      <comment>Detected by NMR in Australian commercial beef sirloin.</comment>
      <references>
        <reference>
          <reference_text>Jung Y, Lee J, Kwon J, Lee KS, Ryu DH, Hwang GS: Discrimination of the geographical origin of beef by (1)H NMR-based metabolomics. J Agric Food Chem. 2010 Oct 13;58(19):10458-66. doi: 10.1021/jf102194t.</reference_text>
          <pubmed_id>20831251</pubmed_id>
        </reference>
      </references>
    </concentration>
    <concentration>
      <biospecimen>Muscle</biospecimen>
      <concentration_value>262.51 +/- 12.18</concentration_value>
      <concentration_units>uM</concentration_units>
      <comment>Detected by NMR in New Zealand commercial beef sirloin.</comment>
      <references>
        <reference>
          <reference_text>Jung Y, Lee J, Kwon J, Lee KS, Ryu DH, Hwang GS: Discrimination of the geographical origin of beef by (1)H NMR-based metabolomics. J Agric Food Chem. 2010 Oct 13;58(19):10458-66. doi: 10.1021/jf102194t.</reference_text>
          <pubmed_id>20831251</pubmed_id>
        </reference>
      </references>
    </concentration>
    <concentration>
      <biospecimen>Muscle</biospecimen>
      <concentration_value>126-275</concentration_value>
      <concentration_units>nmol/g of tissue</concentration_units>
      <comment>By NMR</comment>
      <references>
        <reference>
          <reference_text>Jung Y, Lee J, Kwon J, Lee KS, Ryu DH, Hwang GS: Discrimination of the geographical origin of beef by (1)H NMR-based metabolomics. J Agric Food Chem. 2010 Oct 13;58(19):10458-66. doi: 10.1021/jf102194t.</reference_text>
          <pubmed_id>20831251</pubmed_id>
        </reference>
      </references>
    </concentration>
    <concentration>
      <biospecimen>Muscle</biospecimen>
      <concentration_value>560</concentration_value>
      <concentration_units>nmol/g of tissue</concentration_units>
      <comment>By NMR</comment>
      <references>
        <reference>
          <reference_text>Kim YH, Kemp R, Samuelsson LM: Effects of dry-aging on meat quality attributes and metabolite profiles of beef loins. Meat Sci. 2016 Jan;111:168-76. doi: 10.1016/j.meatsci.2015.09.008. Epub 2015 Sep  26.</reference_text>
          <pubmed_id>26437054</pubmed_id>
        </reference>
      </references>
    </concentration>
    <concentration>
      <biospecimen>Muscle</biospecimen>
      <concentration_value>990 +/- 140</concentration_value>
      <concentration_units>nmol/g of tissue</concentration_units>
      <comment>Detected by NMR in beef muscle (longissimus dorsi) matured for 14 days.</comment>
      <references>
        <reference>
          <reference_text>S. F. Graham, T. Kennedy, O. Chevallier, A. Gordon, L. Farmer, C. Elliott, B. Moss. The application of NMR to study changes in polar metabolite concentrations in beef longissimus dorsi stored for different periods post mortem. Metabolomics (2010) 6:395-404   doi: 10.1007/s11306-010-0206-y</reference_text>
          <pubmed_id/>
        </reference>
      </references>
    </concentration>
    <concentration>
      <biospecimen>Muscle</biospecimen>
      <concentration_value>1080 +/- 190</concentration_value>
      <concentration_units>nmol/g of tissue</concentration_units>
      <comment>Detected by NMR in beef muscle (longissimus dorsi) matured for 21 days.</comment>
      <references>
        <reference>
          <reference_text>S. F. Graham, T. Kennedy, O. Chevallier, A. Gordon, L. Farmer, C. Elliott, B. Moss. The application of NMR to study changes in polar metabolite concentrations in beef longissimus dorsi stored for different periods post mortem. Metabolomics (2010) 6:395-404   doi: 10.1007/s11306-010-0206-y</reference_text>
          <pubmed_id/>
        </reference>
      </references>
    </concentration>
    <concentration>
      <biospecimen>Muscle</biospecimen>
      <concentration_value>790 +/- 100</concentration_value>
      <concentration_units>nmol/g of tissue</concentration_units>
      <comment>Detected by NMR in beef muscle (longissimus dorsi) matured for 3 days.</comment>
      <references>
        <reference>
          <reference_text>S. F. Graham, T. Kennedy, O. Chevallier, A. Gordon, L. Farmer, C. Elliott, B. Moss. The application of NMR to study changes in polar metabolite concentrations in beef longissimus dorsi stored for different periods post mortem. Metabolomics (2010) 6:395-404   doi: 10.1007/s11306-010-0206-y</reference_text>
          <pubmed_id/>
        </reference>
      </references>
    </concentration>
    <concentration>
      <biospecimen>Muscle</biospecimen>
      <concentration_value>850 +/- 140</concentration_value>
      <concentration_units>nmol/g of tissue</concentration_units>
      <comment>Detected by NMR in beef muscle (longissimus dorsi) matured for 7 days.</comment>
      <references>
        <reference>
          <reference_text>S. F. Graham, T. Kennedy, O. Chevallier, A. Gordon, L. Farmer, C. Elliott, B. Moss. The application of NMR to study changes in polar metabolite concentrations in beef longissimus dorsi stored for different periods post mortem. Metabolomics (2010) 6:395-404   doi: 10.1007/s11306-010-0206-y</reference_text>
          <pubmed_id/>
        </reference>
      </references>
    </concentration>
    <concentration>
      <biospecimen>Muscle</biospecimen>
      <concentration_value>40-395</concentration_value>
      <concentration_units>nmol/g of tissue</concentration_units>
      <comment>By CE-TOFMS</comment>
      <references>
        <reference>
          <reference_text>Muroya S, Oe M, Ojima K, Watanabe A: Metabolomic approach to key metabolites characterizing postmortem aged loin muscle of Japanese Black (Wagyu) cattle. Asian-Australas J Anim Sci. 2019 Aug;32(8):1172-1185. doi: 10.5713/ajas.18.0648.  Epub 2019 Jan 4.</reference_text>
          <pubmed_id>30744349</pubmed_id>
        </reference>
      </references>
    </concentration>
    <concentration>
      <biospecimen>Pancreas</biospecimen>
      <concentration_value/>
      <concentration_units/>
      <references>
        <reference>
          <reference_text>Wishart DS, Feunang YD, Marcu A, Guo AC, Liang K, Vazquez-Fresno R, Sajed T, Johnson D, Li C, Karu N, Sayeeda Z, Lo E, Assempour N, Berjanskii M, Singhal S, Arndt D, Liang Y, Badran H, Grant J, Serra-Cayuela A, Liu Y, Mandal R, Neveu V, Pon A, Knox C, Wilson M, Manach C, Scalbert A: HMDB 4.0: the human metabolome database for 2018. Nucleic Acids Res. 2018 Jan 4;46(D1):D608-D617. doi: 10.1093/nar/gkx1089.</reference_text>
          <pubmed_id>29140435</pubmed_id>
        </reference>
      </references>
    </concentration>
    <concentration>
      <biospecimen>Placenta</biospecimen>
      <concentration_value/>
      <concentration_units/>
      <references>
        <reference>
          <reference_text>Wishart DS, Feunang YD, Marcu A, Guo AC, Liang K, Vazquez-Fresno R, Sajed T, Johnson D, Li C, Karu N, Sayeeda Z, Lo E, Assempour N, Berjanskii M, Singhal S, Arndt D, Liang Y, Badran H, Grant J, Serra-Cayuela A, Liu Y, Mandal R, Neveu V, Pon A, Knox C, Wilson M, Manach C, Scalbert A: HMDB 4.0: the human metabolome database for 2018. Nucleic Acids Res. 2018 Jan 4;46(D1):D608-D617. doi: 10.1093/nar/gkx1089.</reference_text>
          <pubmed_id>29140435</pubmed_id>
        </reference>
      </references>
    </concentration>
    <concentration>
      <biospecimen>Prostate Tissue</biospecimen>
      <concentration_value/>
      <concentration_units/>
      <references>
        <reference>
          <reference_text>Wishart DS, Feunang YD, Marcu A, Guo AC, Liang K, Vazquez-Fresno R, Sajed T, Johnson D, Li C, Karu N, Sayeeda Z, Lo E, Assempour N, Berjanskii M, Singhal S, Arndt D, Liang Y, Badran H, Grant J, Serra-Cayuela A, Liu Y, Mandal R, Neveu V, Pon A, Knox C, Wilson M, Manach C, Scalbert A: HMDB 4.0: the human metabolome database for 2018. Nucleic Acids Res. 2018 Jan 4;46(D1):D608-D617. doi: 10.1093/nar/gkx1089.</reference_text>
          <pubmed_id>29140435</pubmed_id>
        </reference>
      </references>
    </concentration>
    <concentration>
      <biospecimen>Ruminal Fluid</biospecimen>
      <concentration_value>24.6</concentration_value>
      <concentration_units>uM</concentration_units>
      <comment>By GC-MS. Daily cows fed barley grains (15% of diet dry matter) (n=8)</comment>
      <references>
        <reference>
          <reference_text>Saleem F, Ametaj BN, Bouatra S, Mandal R, Zebeli Q, Dunn SM, Wishart DS: A metabolomics approach to uncover the effects of grain diets on rumen health in dairy cows. J Dairy Sci. 2012 Nov;95(11):6606-23. doi: 10.3168/jds.2012-5403. Epub 2012 Sep 7.</reference_text>
          <pubmed_id>22959937</pubmed_id>
        </reference>
      </references>
    </concentration>
    <concentration>
      <biospecimen>Ruminal Fluid</biospecimen>
      <concentration_value>34.6</concentration_value>
      <concentration_units>uM</concentration_units>
      <comment>By GC-MS. Daily cows fed barley grains (30% of diet dry matter) (n=8)</comment>
      <references>
        <reference>
          <reference_text>Saleem F, Ametaj BN, Bouatra S, Mandal R, Zebeli Q, Dunn SM, Wishart DS: A metabolomics approach to uncover the effects of grain diets on rumen health in dairy cows. J Dairy Sci. 2012 Nov;95(11):6606-23. doi: 10.3168/jds.2012-5403. Epub 2012 Sep 7.</reference_text>
          <pubmed_id>22959937</pubmed_id>
        </reference>
      </references>
    </concentration>
    <concentration>
      <biospecimen>Ruminal Fluid</biospecimen>
      <concentration_value>47.1</concentration_value>
      <concentration_units>uM</concentration_units>
      <comment>By GC-MS. Daily cows fed barley grains (45% of diet dry matter) (n=8)</comment>
      <references>
        <reference>
          <reference_text>Saleem F, Ametaj BN, Bouatra S, Mandal R, Zebeli Q, Dunn SM, Wishart DS: A metabolomics approach to uncover the effects of grain diets on rumen health in dairy cows. J Dairy Sci. 2012 Nov;95(11):6606-23. doi: 10.3168/jds.2012-5403. Epub 2012 Sep 7.</reference_text>
          <pubmed_id>22959937</pubmed_id>
        </reference>
      </references>
    </concentration>
    <concentration>
      <biospecimen>Ruminal Fluid</biospecimen>
      <concentration_value/>
      <concentration_units/>
      <comment>Samples collected from 16 multiparous Holstein cows </comment>
      <references>
        <reference>
          <reference_text>Sun HZ, Wang DM, Wang B, Wang JK, Liu HY, Guan le L, Liu JX: Metabolomics of four biofluids from dairy cows: potential biomarkers for milk production and quality. J Proteome Res. 2015 Feb 6;14(2):1287-98. doi: 10.1021/pr501305g. Epub 2015 Jan 28.</reference_text>
          <pubmed_id>25599412</pubmed_id>
        </reference>
      </references>
    </concentration>
    <concentration>
      <biospecimen>Ruminal Fluid</biospecimen>
      <concentration_value>20.6</concentration_value>
      <concentration_units>uM</concentration_units>
      <comment>By GC-MS. No barley grains in diet (n=8)</comment>
      <references>
        <reference>
          <reference_text>Saleem F, Ametaj BN, Bouatra S, Mandal R, Zebeli Q, Dunn SM, Wishart DS: A metabolomics approach to uncover the effects of grain diets on rumen health in dairy cows. J Dairy Sci. 2012 Nov;95(11):6606-23. doi: 10.3168/jds.2012-5403. Epub 2012 Sep 7.</reference_text>
          <pubmed_id>22959937</pubmed_id>
        </reference>
      </references>
    </concentration>
    <concentration>
      <biospecimen>Ruminal Fluid</biospecimen>
      <concentration_value>22-53</concentration_value>
      <concentration_units>uM</concentration_units>
      <comment>By NMR</comment>
      <references>
        <reference>
          <reference_text>O'Callaghan TF, Vazquez-Fresno R, Serra-Cayuela A, Dong E, Mandal R, Hennessy D, McAuliffe S, Dillon P, Wishart DS, Stanton C, Ross RP: Pasture Feeding Changes the Bovine Rumen and Milk Metabolome. Metabolites. 2018 Apr 6;8(2). pii: metabo8020027. doi: 10.3390/metabo8020027.</reference_text>
          <pubmed_id>29642378</pubmed_id>
        </reference>
      </references>
    </concentration>
    <concentration>
      <biospecimen>Ruminal Fluid</biospecimen>
      <concentration_value>44.0 (27 - 61)</concentration_value>
      <concentration_units>uM</concentration_units>
      <comment>This concentration measured after 1 hour of feeding.; The three amino acids (AA), threonine, methionine and Lysine were administered intraruminally in mixtures at dosages of 100, 200, 300, and 400 mmol of each,together with polyethylene glycol (PEG) as a liquid marker.  </comment>
      <references>
        <reference>
          <reference_text>Volden H, Velle W, Harstad OM, Aulie A, Sjaastad OV: Apparent ruminal degradation and rumen escape of lysine, methionine, and threonine administered intraruminally in mixtures to high-yielding cows. J Anim Sci. 1998 Apr;76(4):1232-40.</reference_text>
          <pubmed_id>9581948</pubmed_id>
        </reference>
      </references>
    </concentration>
    <concentration>
      <biospecimen>Ruminal Fluid</biospecimen>
      <concentration_value>22 +/- 8</concentration_value>
      <concentration_units>uM</concentration_units>
      <comment>Samples have been collected from 8 healthy primiparous Holstein cow fed barley grains (15% of diet dry matter). </comment>
      <references>
        <reference>
          <reference_text>Fozia Saleem, Souhaila Bouatra, An Chi Guo, Nikolaos Psychogios, Rupasri Mandal, Suzanna M. Dunn, Burim N. Ametaj, David S. Wishart. The Bovine Ruminal Fluid Metabolome. Metabolomics (2013) 9:360–378.</reference_text>
          <pubmed_id/>
        </reference>
      </references>
    </concentration>
    <concentration>
      <biospecimen>Ruminal Fluid</biospecimen>
      <concentration_value>32 +/- 10</concentration_value>
      <concentration_units>uM</concentration_units>
      <comment>Samples have been collected from 8 healthy primiparous Holstein cow fed barley grains (30% of diet dry matter). </comment>
      <references>
        <reference>
          <reference_text>Fozia Saleem, Souhaila Bouatra, An Chi Guo, Nikolaos Psychogios, Rupasri Mandal, Suzanna M. Dunn, Burim N. Ametaj, David S. Wishart. The Bovine Ruminal Fluid Metabolome. Metabolomics (2013) 9:360–378.</reference_text>
          <pubmed_id/>
        </reference>
      </references>
    </concentration>
    <concentration>
      <biospecimen>Ruminal Fluid</biospecimen>
      <concentration_value>47 +/- 19</concentration_value>
      <concentration_units>uM</concentration_units>
      <comment>Samples have been collected from 8 healthy primiparous Holstein cow fed barley grains (45% of diet dry matter). </comment>
      <references>
        <reference>
          <reference_text>Fozia Saleem, Souhaila Bouatra, An Chi Guo, Nikolaos Psychogios, Rupasri Mandal, Suzanna M. Dunn, Burim N. Ametaj, David S. Wishart. The Bovine Ruminal Fluid Metabolome. Metabolomics (2013) 9:360–378.</reference_text>
          <pubmed_id/>
        </reference>
      </references>
    </concentration>
    <concentration>
      <biospecimen>Ruminal Fluid</biospecimen>
      <concentration_value>19 +/- 10</concentration_value>
      <concentration_units>uM</concentration_units>
      <comment>Samples have been collected from 8 healthy primiparous Holstein cow, no barley grains in diet.</comment>
      <references>
        <reference>
          <reference_text>Fozia Saleem, Souhaila Bouatra, An Chi Guo, Nikolaos Psychogios, Rupasri Mandal, Suzanna M. Dunn, Burim N. Ametaj, David S. Wishart. The Bovine Ruminal Fluid Metabolome. Metabolomics (2013) 9:360–378.</reference_text>
          <pubmed_id/>
        </reference>
      </references>
    </concentration>
    <concentration>
      <biospecimen>Ruminal Fluid</biospecimen>
      <concentration_value>19 +/- 10</concentration_value>
      <concentration_units>uM</concentration_units>
      <comment>Samples have been collected from 8 healthy primiparous Holstein cow, no barley grains in diet. Metabolite measured by GC-MS and DFI-MS/MS.</comment>
      <references>
        <reference>
          <reference_text>Fozia Saleem, Souhaila Bouatra, An Chi Guo, Nikolaos Psychogios, Rupasri Mandal, Suzanna M. Dunn, Burim N. Ametaj, David S. Wishart. The Bovine Ruminal Fluid Metabolome. Metabolomics (2013) 9:360–378.</reference_text>
          <pubmed_id/>
        </reference>
      </references>
    </concentration>
    <concentration>
      <biospecimen>Ruminal Fluid</biospecimen>
      <concentration_value>268 +/- 102</concentration_value>
      <concentration_units>uM</concentration_units>
      <comment>By LC-MS/MS &amp; NMR</comment>
      <references>
        <reference>
          <reference_text>Aidin Foroutan, Carolyn Fitzsimmons, Rupasri Mandal, Hamed Piri‐Moghadam, Jiamin Zheng, AnChi Guo, Carin Li, Le Luo Guan and David S. Wishart. The Bovine Metabolome. Metabolites 2020, 10, 233; doi:10.3390/metabo10060233</reference_text>
          <pubmed_id/>
        </reference>
      </references>
    </concentration>
    <concentration>
      <biospecimen>Semen</biospecimen>
      <concentration_value/>
      <concentration_units/>
      <comment>From 5 bulls</comment>
      <references>
        <reference>
          <reference_text>Sexton TJ, Amann RP, Flipse RJ: Free amino acids and protein in rete testis fluid, vas deferens plasma, accessory sex gland fluid, and seminal plasma of the conscious bull. J Dairy Sci. 1971 Mar;54(3):412-6. doi: 10.3168/jds.s0022-0302(71)85854-x.</reference_text>
          <pubmed_id>5096119</pubmed_id>
        </reference>
      </references>
    </concentration>
    <concentration>
      <biospecimen>Semimembranosus Muscle</biospecimen>
      <concentration_value>37 +/- 11</concentration_value>
      <concentration_units>nmol/g of tissue</concentration_units>
      <comment>By LC-MS/MS &amp; NMR</comment>
      <references>
        <reference>
          <reference_text>Aidin Foroutan, Carolyn Fitzsimmons, Rupasri Mandal, Hamed Piri‐Moghadam, Jiamin Zheng, AnChi Guo, Carin Li, Le Luo Guan and David S. Wishart. The Bovine Metabolome. Metabolites 2020, 10, 233; doi:10.3390/metabo10060233</reference_text>
          <pubmed_id/>
        </reference>
      </references>
    </concentration>
    <concentration>
      <biospecimen>Spleen</biospecimen>
      <concentration_value/>
      <concentration_units/>
      <references>
        <reference>
          <reference_text>Wishart DS, Feunang YD, Marcu A, Guo AC, Liang K, Vazquez-Fresno R, Sajed T, Johnson D, Li C, Karu N, Sayeeda Z, Lo E, Assempour N, Berjanskii M, Singhal S, Arndt D, Liang Y, Badran H, Grant J, Serra-Cayuela A, Liu Y, Mandal R, Neveu V, Pon A, Knox C, Wilson M, Manach C, Scalbert A: HMDB 4.0: the human metabolome database for 2018. Nucleic Acids Res. 2018 Jan 4;46(D1):D608-D617. doi: 10.1093/nar/gkx1089.</reference_text>
          <pubmed_id>29140435</pubmed_id>
        </reference>
      </references>
    </concentration>
    <concentration>
      <biospecimen>Testis</biospecimen>
      <concentration_value>26 +/- 6</concentration_value>
      <concentration_units>nmol/g of tissue</concentration_units>
      <comment>By LC-MS/MS &amp; NMR</comment>
      <references>
        <reference>
          <reference_text>Aidin Foroutan, Carolyn Fitzsimmons, Rupasri Mandal, Hamed Piri‐Moghadam, Jiamin Zheng, AnChi Guo, Carin Li, Le Luo Guan and David S. Wishart. The Bovine Metabolome. Metabolites 2020, 10, 233; doi:10.3390/metabo10060233</reference_text>
          <pubmed_id/>
        </reference>
      </references>
    </concentration>
    <concentration>
      <biospecimen>Testis</biospecimen>
      <concentration_value/>
      <concentration_units/>
      <comment>From 5 bulls</comment>
      <references>
        <reference>
          <reference_text>Sexton TJ, Amann RP, Flipse RJ: Free amino acids and protein in rete testis fluid, vas deferens plasma, accessory sex gland fluid, and seminal plasma of the conscious bull. J Dairy Sci. 1971 Mar;54(3):412-6. doi: 10.3168/jds.s0022-0302(71)85854-x.</reference_text>
          <pubmed_id>5096119</pubmed_id>
        </reference>
      </references>
    </concentration>
  </normal_concentrations>
  <kegg_id>C00073</kegg_id>
  <drugbank_id>DB00134</drugbank_id>
  <foodb_id>FDB012683</foodb_id>
  <chemspider_id>5907</chemspider_id>
  <pdbe_id/>
  <chebi_id>16643</chebi_id>
  <pubchem_compound_id>6137</pubchem_compound_id>
  <meta_cyc_id>MET</meta_cyc_id>
  <knapsack_id>C00001379</knapsack_id>
  <wikipedia_id>Methionine</wikipedia_id>
  <phenol_explorer_compound_id/>
  <bigg_id>33753</bigg_id>
  <metlin_id>5664</metlin_id>
  <synthesis_reference>Boy, Matthias; Klein, Daniela; Schroeder, Hartwig.  Method for the production and recovery of methionine.    PCT Int. Appl.  (2005),     34 pp.</synthesis_reference>
  <general_references>
    <reference>
      <reference_text>A. Foroutan et al. The Chemical Composition of Commercial Cow's Milk (in preparation)</reference_text>
    </reference>
    <reference>
      <reference_text>Fooddata+, The Technical University of Denmark (DTU): https://frida.fooddata.dk/QueryFood.php?fn=milk&amp;lang=en</reference_text>
    </reference>
  </general_references>
  <protein_associations>
    <protein>
      <protein_accession>BMDBP00174</protein_accession>
      <name>S-adenosylmethionine synthase</name>
      <uniprot_id>A7E3T7</uniprot_id>
      <gene_name>MAT2A</gene_name>
      <protein_type>Enzyme</protein_type>
    </protein>
    <protein>
      <protein_accession>BMDBP00396</protein_accession>
      <name>Lipoyl synthase, mitochondrial</name>
      <uniprot_id>Q5BIP7</uniprot_id>
      <gene_name>LIAS</gene_name>
      <protein_type>Enzyme</protein_type>
    </protein>
    <protein>
      <protein_accession>BMDBP00403</protein_accession>
      <name>S-adenosylmethionine synthase isoform type-1</name>
      <uniprot_id>Q2KJC6</uniprot_id>
      <gene_name>MAT1A</gene_name>
      <protein_type>Enzyme</protein_type>
    </protein>
    <protein>
      <protein_accession>BMDBP00414</protein_accession>
      <name>Methionine synthase</name>
      <uniprot_id>Q4JIJ3</uniprot_id>
      <gene_name>MTR</gene_name>
      <protein_type>Enzyme</protein_type>
    </protein>
    <protein>
      <protein_accession>BMDBP00547</protein_accession>
      <name>Methionine-R-sulfoxide reductase B1</name>
      <uniprot_id>Q3MHL9</uniprot_id>
      <gene_name>MSRB1</gene_name>
      <protein_type>Enzyme</protein_type>
    </protein>
    <protein>
      <protein_accession>BMDBP00795</protein_accession>
      <name>Methionine aminopeptidase 1</name>
      <uniprot_id>A6QLA4</uniprot_id>
      <gene_name>METAP1</gene_name>
      <protein_type>Enzyme</protein_type>
    </protein>
    <protein>
      <protein_accession>BMDBP00797</protein_accession>
      <name>Methionine aminopeptidase 2</name>
      <uniprot_id>Q3ZC89</uniprot_id>
      <gene_name>METAP2</gene_name>
      <protein_type>Enzyme</protein_type>
    </protein>
    <protein>
      <protein_accession>BMDBP01057</protein_accession>
      <name>Betaine--homocysteine S-methyltransferase 1</name>
      <uniprot_id>Q5I597</uniprot_id>
      <gene_name>BHMT</gene_name>
      <protein_type>Enzyme</protein_type>
    </protein>
    <protein>
      <protein_accession>BMDBP01249</protein_accession>
      <name>Mitochondrial peptide methionine sulfoxide reductase</name>
      <uniprot_id>P54149</uniprot_id>
      <gene_name>MSRA</gene_name>
      <protein_type>Enzyme</protein_type>
    </protein>
    <protein>
      <protein_accession>BMDBP01250</protein_accession>
      <name>Methionine--tRNA ligase, mitochondrial</name>
      <uniprot_id>A6H7E1</uniprot_id>
      <gene_name>MARS2</gene_name>
      <protein_type>Enzyme</protein_type>
    </protein>
    <protein>
      <protein_accession>BMDBP01251</protein_accession>
      <name>Methionine--tRNA ligase, cytoplasmic</name>
      <uniprot_id>Q2T9L8</uniprot_id>
      <gene_name>MARS1</gene_name>
      <protein_type>Enzyme</protein_type>
    </protein>
    <protein>
      <protein_accession>BMDBP01585</protein_accession>
      <name>S-adenosylmethionine mitochondrial carrier protein</name>
      <uniprot_id>A6QR09</uniprot_id>
      <gene_name>SLC25A26</gene_name>
      <protein_type>Enzyme</protein_type>
    </protein>
    <protein>
      <protein_accession>BMDBP02843</protein_accession>
      <name>Methionine adenosyltransferase 2 subunit beta</name>
      <uniprot_id>Q29RI9</uniprot_id>
      <gene_name>MAT2B</gene_name>
      <protein_type>Enzyme</protein_type>
    </protein>
    <protein>
      <protein_accession>BMDBP02848</protein_accession>
      <name>Interleukin 4 induced 1</name>
      <uniprot_id>F1N191</uniprot_id>
      <gene_name>IL4I1</gene_name>
      <protein_type>Enzyme</protein_type>
    </protein>
    <protein>
      <protein_accession>BMDBP02980</protein_accession>
      <name>Peptide-methionine (R)-S-oxide reductase</name>
      <uniprot_id>E1BMD3</uniprot_id>
      <gene_name>MSRB3</gene_name>
      <protein_type>Enzyme</protein_type>
    </protein>
  </protein_associations>
</metabolite>
