<?xml version="1.0" encoding="UTF-8"?>
<metabolite>
  <version>1.0</version>
  <creation_date>2016-09-30 22:34:54 UTC</creation_date>
  <update_date>2020-06-04 22:32:44 UTC</update_date>
  <accession>BMDB0000687</accession>
  <secondary_accessions>
    <accession>BMDB00687</accession>
  </secondary_accessions>
  <name>L-Leucine</name>
  <description>L-Leucine, also known as (S)-leucine or L-leucin, belongs to the class of organic compounds known as leucine and derivatives. Leucine and derivatives are compounds containing leucine or a derivative thereof resulting from reaction of leucine at the amino group or the carboxy group, or from the replacement of any hydrogen of glycine by a heteroatom. L-Leucine exists as a solid, possibly soluble (in water), and a very strong basic compound (based on its pKa) molecule. L-Leucine exists in all living species, ranging from bacteria to humans. L-Leucine can be converted into L-leucine through its interaction with the enzyme large neutral amino acids transporter small subunit 1. In cattle, L-leucine is involved in the metabolic pathway called the leucine stimulation ON insulin signaling pathway. L-Leucine is a potentially toxic compound.</description>
  <synonyms>
    <synonym>(2S)-2-Amino-4-methylpentanoic acid</synonym>
    <synonym>(2S)-alpha-2-Amino-4-methylvaleric acid</synonym>
    <synonym>(2S)-alpha-Leucine</synonym>
    <synonym>(S)-(+)-Leucine</synonym>
    <synonym>(S)-Leucine</synonym>
    <synonym>2-Amino-4-methylvaleric acid</synonym>
    <synonym>L</synonym>
    <synonym>L-Leucin</synonym>
    <synonym>L-Leuzin</synonym>
    <synonym>Leu</synonym>
    <synonym>LEUCINE</synonym>
    <synonym>(2S)-2-Amino-4-methylpentanoate</synonym>
    <synonym>(2S)-a-2-Amino-4-methylvalerate</synonym>
    <synonym>(2S)-a-2-Amino-4-methylvaleric acid</synonym>
    <synonym>(2S)-alpha-2-Amino-4-methylvalerate</synonym>
    <synonym>(2S)-Α-2-amino-4-methylvalerate</synonym>
    <synonym>(2S)-Α-2-amino-4-methylvaleric acid</synonym>
    <synonym>(2S)-a-Leucine</synonym>
    <synonym>(2S)-Α-leucine</synonym>
    <synonym>2-Amino-4-methylvalerate</synonym>
    <synonym>(S)-2-Amino-4-methylpentanoate</synonym>
    <synonym>(S)-2-Amino-4-methylpentanoic acid</synonym>
    <synonym>(S)-2-Amino-4-methylvalerate</synonym>
    <synonym>(S)-2-Amino-4-methylvaleric acid</synonym>
    <synonym>4-Methyl-L-norvaline</synonym>
    <synonym>L-(+)-Leucine</synonym>
    <synonym>L-a-Aminoisocaproate</synonym>
    <synonym>L-a-Aminoisocaproic acid</synonym>
    <synonym>L-alpha-Aminoisocaproate</synonym>
    <synonym>L-alpha-Aminoisocaproic acid</synonym>
    <synonym>Leucine, L-isomer</synonym>
    <synonym>L-Isomer leucine</synonym>
    <synonym>Leucine, L isomer</synonym>
  </synonyms>
  <chemical_formula>C6H13NO2</chemical_formula>
  <average_molecular_weight>131.1729</average_molecular_weight>
  <monisotopic_moleculate_weight>131.094628665</monisotopic_moleculate_weight>
  <iupac_name>(2S)-2-amino-4-methylpentanoic acid</iupac_name>
  <traditional_iupac>L-leucine</traditional_iupac>
  <cas_registry_number>61-90-5</cas_registry_number>
  <smiles>CC(C)C[C@H](N)C(O)=O</smiles>
  <inchi>InChI=1S/C6H13NO2/c1-4(2)3-5(7)6(8)9/h4-5H,3,7H2,1-2H3,(H,8,9)/t5-/m0/s1</inchi>
  <inchikey>ROHFNLRQFUQHCH-YFKPBYRVSA-N</inchikey>
  <taxonomy>
    <description> belongs to the class of organic compounds known as leucine and derivatives. Leucine and derivatives are compounds containing leucine or a derivative thereof resulting from reaction of leucine 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>Leucine 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>Hydrocarbon derivatives</alternative_parent>
      <alternative_parent>L-alpha-amino acids</alternative_parent>
      <alternative_parent>Methyl-branched fatty 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_parents>
    <substituents>
      <substituent>Aliphatic acyclic compound</substituent>
      <substituent>Alpha-amino acid</substituent>
      <substituent>Amine</substituent>
      <substituent>Amino acid</substituent>
      <substituent>Branched fatty acid</substituent>
      <substituent>Carbonyl group</substituent>
      <substituent>Carboxylic acid</substituent>
      <substituent>Fatty acid</substituent>
      <substituent>Fatty acyl</substituent>
      <substituent>Hydrocarbon derivative</substituent>
      <substituent>L-alpha-amino acid</substituent>
      <substituent>Leucine or derivatives</substituent>
      <substituent>Methyl-branched fatty acid</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>Primary aliphatic amine</substituent>
      <substituent>Primary amine</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>leucine</external_descriptor>
      <external_descriptor>proteinogenic amino acid</external_descriptor>
      <external_descriptor>pyruvate family amino acid</external_descriptor>
    </external_descriptors>
  </taxonomy>
  <experimental_properties>
    <state>Solid</state>
    <property>
      <kind>melting_point</kind>
      <value>268 - 288 °C</value>
      <source/>
    </property>
    <property>
      <kind>water_solubility</kind>
      <value>21.5 mg/mL</value>
      <source/>
    </property>
    <property>
      <kind>logp</kind>
      <value>-1.52</value>
      <source>HANSCH,C ET AL. (1995)</source>
    </property>
  </experimental_properties>
  <predicted_properties>
    <property>
      <kind>logp</kind>
      <value>-1.82</value>
      <source>ALOGPS</source>
    </property>
    <property>
      <kind>logs</kind>
      <value>-0.27</value>
      <source>ALOGPS</source>
    </property>
    <property>
      <kind>logp</kind>
      <value>-1.6</value>
      <source>ChemAxon</source>
    </property>
    <property>
      <kind>pka_strongest_acidic</kind>
      <value>2.79</value>
      <source>ChemAxon</source>
    </property>
    <property>
      <kind>pka_strongest_basic</kind>
      <value>9.52</value>
      <source>ChemAxon</source>
    </property>
    <property>
      <kind>iupac</kind>
      <value>(2S)-2-amino-4-methylpentanoic acid</value>
      <source>ChemAxon</source>
    </property>
    <property>
      <kind>average_mass</kind>
      <value>131.1729</value>
      <source>ChemAxon</source>
    </property>
    <property>
      <kind>mono_mass</kind>
      <value>131.094628665</value>
      <source>ChemAxon</source>
    </property>
    <property>
      <kind>smiles</kind>
      <value>CC(C)C[C@H](N)C(O)=O</value>
      <source>ChemAxon</source>
    </property>
    <property>
      <kind>formula</kind>
      <value>C6H13NO2</value>
      <source>ChemAxon</source>
    </property>
    <property>
      <kind>inchi</kind>
      <value>InChI=1S/C6H13NO2/c1-4(2)3-5(7)6(8)9/h4-5H,3,7H2,1-2H3,(H,8,9)/t5-/m0/s1</value>
      <source>ChemAxon</source>
    </property>
    <property>
      <kind>inchikey</kind>
      <value>ROHFNLRQFUQHCH-YFKPBYRVSA-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>34.17</value>
      <source>ChemAxon</source>
    </property>
    <property>
      <kind>polarizability</kind>
      <value>14.16</value>
      <source>ChemAxon</source>
    </property>
    <property>
      <kind>rotatable_bond_count</kind>
      <value>3</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>Leucine Stimulation on Insulin Signaling</name>
      <smpdb_id>SMP0108000</smpdb_id>
      <kegg_map_id/>
    </pathway>
    <pathway>
      <name>Protein Synthesis: Leucine</name>
      <smpdb_id>SMP0119403</smpdb_id>
      <kegg_map_id/>
    </pathway>
    <pathway>
      <name>Valine, Leucine, and Isoleucine Degradation</name>
      <smpdb_id>SMP0087234</smpdb_id>
      <kegg_map_id/>
    </pathway>
  </pathways>
  <spectra>
    <spectrum>
      <type>Specdb::NmrTwoD</type>
      <spectrum_id>1423</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::EiMs</type>
      <spectrum_id>1983</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::MsIr</type>
      <spectrum_id>19</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::MsIr</type>
      <spectrum_id>739</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::MsIr</type>
      <spectrum_id>740</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::MsIr</type>
      <spectrum_id>741</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::CMs</type>
      <spectrum_id>604</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::CMs</type>
      <spectrum_id>605</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::CMs</type>
      <spectrum_id>606</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::CMs</type>
      <spectrum_id>607</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::CMs</type>
      <spectrum_id>608</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::CMs</type>
      <spectrum_id>2748</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::CMs</type>
      <spectrum_id>28003</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::CMs</type>
      <spectrum_id>30023</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::CMs</type>
      <spectrum_id>30207</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::CMs</type>
      <spectrum_id>30312</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::CMs</type>
      <spectrum_id>30313</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::CMs</type>
      <spectrum_id>30594</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::CMs</type>
      <spectrum_id>30726</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::CMs</type>
      <spectrum_id>30769</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::CMs</type>
      <spectrum_id>37697</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::CMs</type>
      <spectrum_id>131297</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::CMs</type>
      <spectrum_id>139031</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::CMs</type>
      <spectrum_id>1072453</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::CMs</type>
      <spectrum_id>1072455</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::CMs</type>
      <spectrum_id>1072456</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::MsMs</type>
      <spectrum_id>951</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::MsMs</type>
      <spectrum_id>952</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::MsMs</type>
      <spectrum_id>953</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::MsMs</type>
      <spectrum_id>4393</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::MsMs</type>
      <spectrum_id>4394</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::MsMs</type>
      <spectrum_id>4395</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::MsMs</type>
      <spectrum_id>4396</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::MsMs</type>
      <spectrum_id>4397</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::MsMs</type>
      <spectrum_id>4398</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::MsMs</type>
      <spectrum_id>4399</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::MsMs</type>
      <spectrum_id>4400</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::MsMs</type>
      <spectrum_id>4401</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::MsMs</type>
      <spectrum_id>4402</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::MsMs</type>
      <spectrum_id>4403</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::MsMs</type>
      <spectrum_id>4404</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::MsMs</type>
      <spectrum_id>4405</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::MsMs</type>
      <spectrum_id>4406</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::MsMs</type>
      <spectrum_id>4407</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::MsMs</type>
      <spectrum_id>4408</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::MsMs</type>
      <spectrum_id>4409</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::MsMs</type>
      <spectrum_id>4410</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::MsMs</type>
      <spectrum_id>4416</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::MsMs</type>
      <spectrum_id>4417</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::MsMs</type>
      <spectrum_id>4418</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::MsMs</type>
      <spectrum_id>178782</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::NmrOneD</type>
      <spectrum_id>1251</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::NmrOneD</type>
      <spectrum_id>1477</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::NmrOneD</type>
      <spectrum_id>4877</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::NmrOneD</type>
      <spectrum_id>144830</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::NmrOneD</type>
      <spectrum_id>144831</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::NmrOneD</type>
      <spectrum_id>144832</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::NmrOneD</type>
      <spectrum_id>144833</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::NmrOneD</type>
      <spectrum_id>144834</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::NmrOneD</type>
      <spectrum_id>144835</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::NmrOneD</type>
      <spectrum_id>144836</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::NmrOneD</type>
      <spectrum_id>144837</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::NmrOneD</type>
      <spectrum_id>144838</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::NmrOneD</type>
      <spectrum_id>144839</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::NmrOneD</type>
      <spectrum_id>144840</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::NmrOneD</type>
      <spectrum_id>144841</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::NmrOneD</type>
      <spectrum_id>144842</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::NmrOneD</type>
      <spectrum_id>144843</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::NmrOneD</type>
      <spectrum_id>144844</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::NmrOneD</type>
      <spectrum_id>144845</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::NmrOneD</type>
      <spectrum_id>144846</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::NmrOneD</type>
      <spectrum_id>144847</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::NmrOneD</type>
      <spectrum_id>144848</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::NmrOneD</type>
      <spectrum_id>144849</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::NmrOneD</type>
      <spectrum_id>166492</spectrum_id>
    </spectrum>
  </spectra>
  <normal_concentrations>
    <concentration>
      <biospecimen>Adipose 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>Adrenal Medulla</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>Bladder</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>Blood</biospecimen>
      <concentration_value/>
      <concentration_units/>
      <comment>Detected by NMR. Samples have been collected from 24 male 17-22-month-old Charolais beef cattles.</comment>
      <references>
        <reference>
          <reference_text>Graham SF, Ruiz-Aracama A, Lommen A, Cannizzo FT, Biolatti B, Elliott CT, Mooney MH: Use of NMR metabolomic plasma profiling methodologies to identify illicit growth-promoting administrations. Anal Bioanal Chem. 2012 Apr;403(2):573-82. doi: 10.1007/s00216-012-5815-z. Epub 2012 Feb 28.</reference_text>
          <pubmed_id>22370585</pubmed_id>
        </reference>
      </references>
    </concentration>
    <concentration>
      <biospecimen>Blood</biospecimen>
      <concentration_value>107.2</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/>
      <comment>Detected by NMR</comment>
      <references>
        <reference>
          <reference_text>Tian H, Wang W, Zheng N, Cheng J, Li S, Zhang Y, Wang J: Identification of diagnostic biomarkers and metabolic pathway shifts of heat-stressed lactating dairy cows. J Proteomics. 2015 Jul 1;125:17-28. doi: 10.1016/j.jprot.2015.04.014. Epub 2015 Apr 22.</reference_text>
          <pubmed_id>25913299</pubmed_id>
        </reference>
      </references>
    </concentration>
    <concentration>
      <biospecimen>Blood</biospecimen>
      <concentration_value/>
      <concentration_units/>
      <comment>Detected by NMR in multiparous-early lactation Holstein cows.</comment>
      <references>
        <reference>
          <reference_text>Sun LW, Zhang HY, Wu L, Shu S, Xia C, Xu C, Zheng JS: (1)H-Nuclear magnetic resonance-based plasma metabolic profiling of dairy cows with clinical and subclinical ketosis. J Dairy Sci. 2014 Mar;97(3):1552-62. doi: 10.3168/jds.2013-6757. Epub 2014 Jan 17.</reference_text>
          <pubmed_id>24440255</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>205-264</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>132.6</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>90-117</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>212 +/- 24</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>67-1877</concentration_value>
      <concentration_units>uM</concentration_units>
      <comment>By LC-MS/MS</comment>
      <references>
        <reference>
          <reference_text>Sadri H, von Soosten D, Meyer U, Kluess J, Danicke S, Saremi B, Sauerwein H: Plasma amino acids and metabolic profiling of dairy cows in response to a bolus duodenal infusion of leucine. PLoS One. 2017 Apr 28;12(4):e0176647. doi: 10.1371/journal.pone.0176647. eCollection 2017.</reference_text>
          <pubmed_id>28453535</pubmed_id>
        </reference>
      </references>
    </concentration>
    <concentration>
      <biospecimen>Blood</biospecimen>
      <concentration_value>152-162</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>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>Colostrum</biospecimen>
      <concentration_value/>
      <concentration_units/>
      <comment>Detected after TiO2 phosphopeptide enrichment and nano-HPLC-MS/MS analysis in longissimus dorsi muscle.</comment>
      <references>
        <reference>
          <reference_text>D'Alessandro A, Rinalducci S, Marrocco C, Zolla V, Napolitano F, Zolla L: Love me tender: an Omics window on the bovine meat tenderness network. J Proteomics. 2012 Jul 19;75(14):4360-80. doi: 10.1016/j.jprot.2012.02.013. Epub  2012 Feb 21.</reference_text>
          <pubmed_id>22361340</pubmed_id>
        </reference>
      </references>
    </concentration>
    <concentration>
      <biospecimen>Epidermis</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>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>Intestine</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>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>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>426 +/- 117</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>Liver</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>Longissimus Thoracis Muscle</biospecimen>
      <concentration_value>154 +/- 37</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>4.64 +/- 1.55</concentration_value>
      <concentration_units>uM</concentration_units>
      <comment>Raw milk metabolite measured during mid-lactation from cows fed diets consisting of total mixed ration (TMR), by 1H-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>Milk</biospecimen>
      <concentration_value>2 - 22</concentration_value>
      <concentration_units>uM</concentration_units>
      <references>
        <reference>
          <reference_text>Klein MS, Almstetter MF, Schlamberger G, Nurnberger N, Dettmer K, Oefner PJ, Meyer HH, Wiedemann S, Gronwald W: Nuclear magnetic resonance and mass spectrometry-based milk metabolomics in dairy cows during early and late lactation. J Dairy Sci. 2010 Apr;93(4):1539-50. doi: 10.3168/jds.2009-2563.</reference_text>
          <pubmed_id>20338431</pubmed_id>
        </reference>
      </references>
    </concentration>
    <concentration>
      <biospecimen>Milk</biospecimen>
      <concentration_value>25919.988</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>25919.988</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>25919.988</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>25919.988</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>25157.635</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>25157.635</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>25157.635</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>Milk</biospecimen>
      <concentration_value>3.80 +/- 1.31</concentration_value>
      <concentration_units>uM</concentration_units>
      <comment>Raw milk metabolite measured during mid-lactation from cows fed diets consisting of perennial ryegrass (GRS), by 1H-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>Milk</biospecimen>
      <concentration_value>6.8 +/- 0.5</concentration_value>
      <concentration_units>uM</concentration_units>
      <comment>1% milk by NMR</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>4.9 +/- 0.4</concentration_value>
      <concentration_units>uM</concentration_units>
      <comment>2% milk by NMR</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>5.5 +/- 0.5</concentration_value>
      <concentration_units>uM</concentration_units>
      <comment>3.25% milk by NMR</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>6.3 +/- 1.4</concentration_value>
      <concentration_units>uM</concentration_units>
      <comment>Skim milk by NMR</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>3.81 +/- 0.83</concentration_value>
      <concentration_units>uM</concentration_units>
      <comment>Raw milk metabolite measured during mid-lactation from cows fed diets consisting of perennial ryegrass and white clover (CLV), by 1H-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>Muscle</biospecimen>
      <concentration_value/>
      <concentration_units/>
      <comment>Detected after TiO2 phosphopeptide enrichment and nano-HPLC-MS/MS analysis in longissimus dorsi muscle.</comment>
      <references>
        <reference>
          <reference_text>D'Alessandro A, Rinalducci S, Marrocco C, Zolla V, Napolitano F, Zolla L: Love me tender: an Omics window on the bovine meat tenderness network. J Proteomics. 2012 Jul 19;75(14):4360-80. doi: 10.1016/j.jprot.2012.02.013. Epub  2012 Feb 21.</reference_text>
          <pubmed_id>22361340</pubmed_id>
        </reference>
      </references>
    </concentration>
    <concentration>
      <biospecimen>Muscle</biospecimen>
      <concentration_value>138.21 +/- 19.52</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>150.85 +/- 24.51</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/>
      <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>80-424</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>390.39 +/- 33.32</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>770</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>7100 +/- 1140</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>8630 +/- 1800</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>1860 +/- 400</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>4030 +/- 990</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>86.05 +/- 6.13</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>180-256</concentration_value>
      <concentration_units>nmol/g of tissue</concentration_units>
      <comment>By NMR</comment>
      <references>
        <reference>
          <reference_text>Kodani Y, Miyakawa T, Komatsu T, Tanokura M: NMR-based metabolomics for simultaneously evaluating multiple determinants of primary beef quality in Japanese Black cattle. Sci Rep. 2017 May 2;7(1):1297. doi: 10.1038/s41598-017-01272-8.</reference_text>
          <pubmed_id>28465593</pubmed_id>
        </reference>
      </references>
    </concentration>
    <concentration>
      <biospecimen>Muscle</biospecimen>
      <concentration_value>238-960</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>Neuron</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>Platelet</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>119.2</concentration_value>
      <concentration_units>uM</concentration_units>
      <comment>By NMR. 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>182.8</concentration_value>
      <concentration_units>uM</concentration_units>
      <comment>By NMR. 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>191.3</concentration_value>
      <concentration_units>uM</concentration_units>
      <comment>By NMR. 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>125.8</concentration_value>
      <concentration_units>uM</concentration_units>
      <comment>By NMR. 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>125.79 +/- 5.98</concentration_value>
      <concentration_units>uM</concentration_units>
      <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>76-571</concentration_value>
      <concentration_units>uM</concentration_units>
      <comment>By NMR</comment>
      <references>
        <reference>
          <reference_text>Lee HJ, Jung JY, Oh YK, Lee SS, Madsen EL, Jeon CO: Comparative survey of rumen microbial communities and metabolites across one caprine and three bovine groups, using bar-coded pyrosequencing and (1)H nuclear magnetic resonance spectroscopy. Appl Environ Microbiol. 2012 Sep;78(17):5983-93. doi: 10.1128/AEM.00104-12. Epub  2012 Jun 15.</reference_text>
          <pubmed_id>22706048</pubmed_id>
        </reference>
      </references>
    </concentration>
    <concentration>
      <biospecimen>Ruminal Fluid</biospecimen>
      <concentration_value>70-159</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/>
      <concentration_units/>
      <comment>Detected by NMR in male Holstein cows.</comment>
      <references>
        <reference>
          <reference_text>Hanne Christine Bertram, Niels Bastian Kristensen, Mogens Vestergaard, SÃ¸ren Krogh Jensen, Jakob Sehested, Niels Christian Nielsen, Anders Malmendal. Metabolic characterization of rumen epithelial tissue from dairy calves fed different starter diets using 1H NMR spectroscopy. Livestock Science (2008) 120:127-134   doi: 10.1016/j.livsci.2008.05.001</reference_text>
          <pubmed_id/>
        </reference>
      </references>
    </concentration>
    <concentration>
      <biospecimen>Ruminal Fluid</biospecimen>
      <concentration_value>119 +/- 17</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>183 +/- 76</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>191 +/- 44</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>146 +/- 46</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>145 +/- 46</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 NMR 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>603 +/- 119</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>Ruminal Fluid</biospecimen>
      <concentration_value/>
      <concentration_units/>
      <comment>Detected by NMR in bovines in growth and fattening stages.</comment>
      <references>
        <reference>
          <reference_text>Lee HJ, Jung JY, Oh YK, Lee SS, Madsen EL, Jeon CO: Comparative survey of rumen microbial communities and metabolites across one caprine and three bovine groups, using bar-coded pyrosequencing and (1)H nuclear magnetic resonance spectroscopy. Appl Environ Microbiol. 2012 Sep;78(17):5983-93. doi: 10.1128/AEM.00104-12. Epub  2012 Jun 15.</reference_text>
          <pubmed_id>22706048</pubmed_id>
        </reference>
      </references>
    </concentration>
    <concentration>
      <biospecimen>Ruminal Fluid</biospecimen>
      <concentration_value/>
      <concentration_units/>
      <comment>Detected by NMR in bovines in growth and fattening stages.</comment>
      <references>
        <reference>
          <reference_text>Lee HJ, Jung JY, Oh YK, Lee SS, Madsen EL, Jeon CO: Comparative survey of rumen microbial communities and metabolites across one caprine and three bovine groups, using bar-coded pyrosequencing and (1)H nuclear magnetic resonance spectroscopy. Appl Environ Microbiol. 2012 Sep;78(17):5983-93. doi: 10.1128/AEM.00104-12. Epub  2012 Jun 15.</reference_text>
          <pubmed_id>22706048</pubmed_id>
        </reference>
      </references>
    </concentration>
    <concentration>
      <biospecimen>Ruminal Fluid</biospecimen>
      <concentration_value/>
      <concentration_units/>
      <comment>Detected by NMR in bovines in growth and fattening stages.</comment>
      <references>
        <reference>
          <reference_text>Lee HJ, Jung JY, Oh YK, Lee SS, Madsen EL, Jeon CO: Comparative survey of rumen microbial communities and metabolites across one caprine and three bovine groups, using bar-coded pyrosequencing and (1)H nuclear magnetic resonance spectroscopy. Appl Environ Microbiol. 2012 Sep;78(17):5983-93. doi: 10.1128/AEM.00104-12. Epub  2012 Jun 15.</reference_text>
          <pubmed_id>22706048</pubmed_id>
        </reference>
      </references>
    </concentration>
    <concentration>
      <biospecimen>Ruminal Fluid</biospecimen>
      <concentration_value>99.2</concentration_value>
      <concentration_units>uM</concentration_units>
      <comment>By NMR. Primiparous Holstein cows fed barley grains (15% of diet dry matter)</comment>
      <references>
        <reference>
          <reference_text>Burim NA, Qendrim Z, Fozia S, Psychogios N, Michael JL, Dunn SM, Jianguo X, Wishart DS. Metabolomics reveals unhealthy alterations in rumen metabolism with increased proportion of cereal grain in the diet of dairy cows. Metabolomics. 2010;6(4):583-594   doi: 10.1007/s11306-010-0227-6</reference_text>
          <pubmed_id/>
        </reference>
      </references>
    </concentration>
    <concentration>
      <biospecimen>Ruminal Fluid</biospecimen>
      <concentration_value>164</concentration_value>
      <concentration_units>uM</concentration_units>
      <comment>By NMR. Primiparous Holstein cows fed barley grains (30% of diet dry matter)</comment>
      <references>
        <reference>
          <reference_text>Burim NA, Qendrim Z, Fozia S, Psychogios N, Michael JL, Dunn SM, Jianguo X, Wishart DS. Metabolomics reveals unhealthy alterations in rumen metabolism with increased proportion of cereal grain in the diet of dairy cows. Metabolomics. 2010;6(4):583-594   doi: 10.1007/s11306-010-0227-6</reference_text>
          <pubmed_id/>
        </reference>
      </references>
    </concentration>
    <concentration>
      <biospecimen>Ruminal Fluid</biospecimen>
      <concentration_value>155</concentration_value>
      <concentration_units>uM</concentration_units>
      <comment>By NMR. Primiparous Holstein cows fed barley grains (45% of diet dry matter)</comment>
      <references>
        <reference>
          <reference_text>Burim NA, Qendrim Z, Fozia S, Psychogios N, Michael JL, Dunn SM, Jianguo X, Wishart DS. Metabolomics reveals unhealthy alterations in rumen metabolism with increased proportion of cereal grain in the diet of dairy cows. Metabolomics. 2010;6(4):583-594   doi: 10.1007/s11306-010-0227-6</reference_text>
          <pubmed_id/>
        </reference>
      </references>
    </concentration>
    <concentration>
      <biospecimen>Ruminal Fluid</biospecimen>
      <concentration_value>109</concentration_value>
      <concentration_units>uM</concentration_units>
      <comment>By NMR. Primiparous Holstein cows, no barley grains in diet.</comment>
      <references>
        <reference>
          <reference_text>Burim NA, Qendrim Z, Fozia S, Psychogios N, Michael JL, Dunn SM, Jianguo X, Wishart DS. Metabolomics reveals unhealthy alterations in rumen metabolism with increased proportion of cereal grain in the diet of dairy cows. Metabolomics. 2010;6(4):583-594   doi: 10.1007/s11306-010-0227-6</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>Semen</biospecimen>
      <concentration_value/>
      <concentration_units/>
      <comment>Analysis was performed using GC-MS in Holstein bulls (n = 16). Compound was authenticated by external standard reference(s).</comment>
      <references>
        <reference>
          <reference_text>Velho ALC, Menezes E, Dinh T, Kaya A, Topper E, Moura AA, Memili E: Metabolomic markers of fertility in bull seminal plasma. PLoS One. 2018 Apr 10;13(4):e0195279. doi: 10.1371/journal.pone.0195279. eCollection 2018.</reference_text>
          <pubmed_id>29634739</pubmed_id>
        </reference>
      </references>
    </concentration>
    <concentration>
      <biospecimen>Semimembranosus Muscle</biospecimen>
      <concentration_value>158 +/- 33</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>40</concentration_value>
      <concentration_units>nmol/g of tissue</concentration_units>
      <comment>By chromatography with spectrophotometric detection</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>Testis</biospecimen>
      <concentration_value>138 +/- 23</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>
  </normal_concentrations>
  <drugbank_id>DB00149</drugbank_id>
  <foodb_id>FDB000899</foodb_id>
  <kegg_id>C00123</kegg_id>
  <chemspider_id>5880</chemspider_id>
  <pdbe_id/>
  <chebi_id>15603</chebi_id>
  <pubchem_compound_id>6106</pubchem_compound_id>
  <meta_cyc_id>LEU</meta_cyc_id>
  <phenol_explorer_compound_id/>
  <knapsack_id>C00001377</knapsack_id>
  <bigg_id>33942</bigg_id>
  <wikipedia_id>Leucine</wikipedia_id>
  <metlin_id>24</metlin_id>
  <synthesis_reference>Leuchtenberger, Wolfgang; Karrenbauer, Michael; Ploecker, Ulf.  Scale-up of an enzyme membrane reactor process for the manufacture of L-enantiomeric compounds.    Annals of the New York Academy of Sciences  (1984),  434(Enzyme Eng.),  78-86.</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>BMDBP00226</protein_accession>
      <name>Branched-chain-amino-acid aminotransferase</name>
      <uniprot_id>A4IFQ7</uniprot_id>
      <gene_name>BCAT1</gene_name>
      <protein_type>Enzyme</protein_type>
    </protein>
    <protein>
      <protein_accession>BMDBP00227</protein_accession>
      <name>Branched-chain-amino-acid aminotransferase, mitochondrial</name>
      <uniprot_id>Q5EA40</uniprot_id>
      <gene_name>BCAT2</gene_name>
      <protein_type>Enzyme</protein_type>
    </protein>
    <protein>
      <protein_accession>BMDBP00228</protein_accession>
      <name>Branched-chain-amino-acid aminotransferase</name>
      <uniprot_id>Q0V8J6</uniprot_id>
      <gene_name>BCAT2</gene_name>
      <protein_type>Enzyme</protein_type>
    </protein>
    <protein>
      <protein_accession>BMDBP00229</protein_accession>
      <name>Branched-chain-amino-acid aminotransferase</name>
      <uniprot_id>Q5E9U7</uniprot_id>
      <gene_name>BCAT2</gene_name>
      <protein_type>Enzyme</protein_type>
    </protein>
    <protein>
      <protein_accession>BMDBP01993</protein_accession>
      <name>Cyclic AMP-dependent transcription factor ATF-4</name>
      <uniprot_id>Q3ZCH6</uniprot_id>
      <gene_name>ATF4</gene_name>
      <protein_type>Enzyme</protein_type>
    </protein>
    <protein>
      <protein_accession>BMDBP02160</protein_accession>
      <name>Blood-brain barrier large neutral amino acid transporter</name>
      <uniprot_id>Q9TU26</uniprot_id>
      <gene_name>SLC7A5</gene_name>
      <protein_type>Enzyme</protein_type>
    </protein>
  </protein_associations>
</metabolite>
