<?xml version="1.0" encoding="UTF-8"?>
<metabolite>
  <version>1.0</version>
  <creation_date>2016-09-30 22:38:01 UTC</creation_date>
  <update_date>2020-06-04 22:24:05 UTC</update_date>
  <accession>BMDB0000883</accession>
  <secondary_accessions>
    <accession>BMDB00883</accession>
  </secondary_accessions>
  <name>L-Valine</name>
  <description>L-Valine, also known as (S)-valine or L-valin, belongs to the class of organic compounds known as valine and derivatives. Valine and derivatives are compounds containing valine or a derivative thereof resulting from reaction of valine at the amino group or the carboxy group, or from the replacement of any hydrogen of glycine by a heteroatom. L-Valine exists as a solid, possibly soluble (in water), and a very strong basic compound (based on its pKa) molecule. L-Valine exists in all living species, ranging from bacteria to humans. L-Valine is a potentially toxic compound.</description>
  <synonyms>
    <synonym>(2S)-2-Amino-3-methylbutanoic acid</synonym>
    <synonym>(S)-Valine</synonym>
    <synonym>2-Amino-3-methylbutyric acid</synonym>
    <synonym>L-(+)-alpha-Aminoisovaleric acid</synonym>
    <synonym>L-alpha-Amino-beta-methylbutyric acid</synonym>
    <synonym>L-Valin</synonym>
    <synonym>V</synonym>
    <synonym>Val</synonym>
    <synonym>VALINE</synonym>
    <synonym>(2S)-2-Amino-3-methylbutanoate</synonym>
    <synonym>2-Amino-3-methylbutyrate</synonym>
    <synonym>L-(+)-a-Aminoisovalerate</synonym>
    <synonym>L-(+)-a-Aminoisovaleric acid</synonym>
    <synonym>L-(+)-alpha-Aminoisovalerate</synonym>
    <synonym>L-(+)-Α-aminoisovalerate</synonym>
    <synonym>L-(+)-Α-aminoisovaleric acid</synonym>
    <synonym>L-a-Amino-b-methylbutyrate</synonym>
    <synonym>L-a-Amino-b-methylbutyric acid</synonym>
    <synonym>L-alpha-Amino-beta-methylbutyrate</synonym>
    <synonym>L-Α-amino-β-methylbutyrate</synonym>
    <synonym>L-Α-amino-β-methylbutyric acid</synonym>
    <synonym>(S)-2-Amino-3-methyl-butanoate</synonym>
    <synonym>(S)-2-Amino-3-methyl-butanoic acid</synonym>
    <synonym>(S)-2-Amino-3-methylbutanoate</synonym>
    <synonym>(S)-2-Amino-3-methylbutanoic acid</synonym>
    <synonym>(S)-2-Amino-3-methylbutyrate</synonym>
    <synonym>(S)-2-Amino-3-methylbutyric acid</synonym>
    <synonym>(S)-a-Amino-b-methylbutyrate</synonym>
    <synonym>(S)-a-Amino-b-methylbutyric acid</synonym>
    <synonym>(S)-alpha-Amino-beta-methylbutyrate</synonym>
    <synonym>(S)-alpha-Amino-beta-methylbutyric acid</synonym>
    <synonym>2-Amino-3-methylbutanoate</synonym>
    <synonym>2-Amino-3-methylbutanoic acid</synonym>
    <synonym>L Valine</synonym>
  </synonyms>
  <chemical_formula>C5H11NO2</chemical_formula>
  <average_molecular_weight>117.1463</average_molecular_weight>
  <monisotopic_moleculate_weight>117.078978601</monisotopic_moleculate_weight>
  <iupac_name>(2S)-2-amino-3-methylbutanoic acid</iupac_name>
  <traditional_iupac>L-valine</traditional_iupac>
  <cas_registry_number>72-18-4</cas_registry_number>
  <smiles>CC(C)[C@H](N)C(O)=O</smiles>
  <inchi>InChI=1S/C5H11NO2/c1-3(2)4(6)5(7)8/h3-4H,6H2,1-2H3,(H,7,8)/t4-/m0/s1</inchi>
  <inchikey>KZSNJWFQEVHDMF-BYPYZUCNSA-N</inchikey>
  <taxonomy>
    <description> belongs to the class of organic compounds known as valine and derivatives. Valine and derivatives are compounds containing valine or a derivative thereof resulting from reaction of valine 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>Valine 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>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>
      <substituent>Valine or derivatives</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>proteinogenic amino acid</external_descriptor>
      <external_descriptor>pyruvate family amino acid</external_descriptor>
      <external_descriptor>valine</external_descriptor>
    </external_descriptors>
  </taxonomy>
  <experimental_properties>
    <state>Solid</state>
    <property>
      <kind>melting_point</kind>
      <value>295 - 300 °C</value>
      <source/>
    </property>
    <property>
      <kind>water_solubility</kind>
      <value>58.5 mg/mL</value>
      <source/>
    </property>
    <property>
      <kind>logp</kind>
      <value>-2.26</value>
      <source>HANSCH,C ET AL. (1995)</source>
    </property>
  </experimental_properties>
  <predicted_properties>
    <property>
      <kind>logp</kind>
      <value>-2.29</value>
      <source>ALOGPS</source>
    </property>
    <property>
      <kind>logs</kind>
      <value>0.26</value>
      <source>ALOGPS</source>
    </property>
    <property>
      <kind>logp</kind>
      <value>-2</value>
      <source>ChemAxon</source>
    </property>
    <property>
      <kind>pka_strongest_acidic</kind>
      <value>2.72</value>
      <source>ChemAxon</source>
    </property>
    <property>
      <kind>pka_strongest_basic</kind>
      <value>9.6</value>
      <source>ChemAxon</source>
    </property>
    <property>
      <kind>iupac</kind>
      <value>(2S)-2-amino-3-methylbutanoic acid</value>
      <source>ChemAxon</source>
    </property>
    <property>
      <kind>average_mass</kind>
      <value>117.1463</value>
      <source>ChemAxon</source>
    </property>
    <property>
      <kind>mono_mass</kind>
      <value>117.078978601</value>
      <source>ChemAxon</source>
    </property>
    <property>
      <kind>smiles</kind>
      <value>CC(C)[C@H](N)C(O)=O</value>
      <source>ChemAxon</source>
    </property>
    <property>
      <kind>formula</kind>
      <value>C5H11NO2</value>
      <source>ChemAxon</source>
    </property>
    <property>
      <kind>inchi</kind>
      <value>InChI=1S/C5H11NO2/c1-3(2)4(6)5(7)8/h3-4H,6H2,1-2H3,(H,7,8)/t4-/m0/s1</value>
      <source>ChemAxon</source>
    </property>
    <property>
      <kind>inchikey</kind>
      <value>KZSNJWFQEVHDMF-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>29.49</value>
      <source>ChemAxon</source>
    </property>
    <property>
      <kind>polarizability</kind>
      <value>12.19</value>
      <source>ChemAxon</source>
    </property>
    <property>
      <kind>rotatable_bond_count</kind>
      <value>2</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>Propanoate Metabolism</name>
      <smpdb_id>SMP0087248</smpdb_id>
      <kegg_map_id/>
    </pathway>
    <pathway>
      <name>Protein Synthesis: Valine</name>
      <smpdb_id>SMP0119417</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::EiMs</type>
      <spectrum_id>1986</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::MsIr</type>
      <spectrum_id>940</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::MsIr</type>
      <spectrum_id>941</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::MsIr</type>
      <spectrum_id>942</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::NmrTwoD</type>
      <spectrum_id>1041</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::NmrTwoD</type>
      <spectrum_id>1524</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::NmrOneD</type>
      <spectrum_id>1279</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::NmrOneD</type>
      <spectrum_id>1582</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::NmrOneD</type>
      <spectrum_id>4778</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::NmrOneD</type>
      <spectrum_id>7862</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::NmrOneD</type>
      <spectrum_id>7863</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::NmrOneD</type>
      <spectrum_id>7864</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::NmrOneD</type>
      <spectrum_id>7865</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::NmrOneD</type>
      <spectrum_id>7866</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::NmrOneD</type>
      <spectrum_id>7867</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::NmrOneD</type>
      <spectrum_id>7868</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::NmrOneD</type>
      <spectrum_id>7869</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::NmrOneD</type>
      <spectrum_id>7870</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::NmrOneD</type>
      <spectrum_id>7871</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::NmrOneD</type>
      <spectrum_id>7872</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::NmrOneD</type>
      <spectrum_id>7873</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::NmrOneD</type>
      <spectrum_id>7874</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::NmrOneD</type>
      <spectrum_id>7875</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::NmrOneD</type>
      <spectrum_id>7876</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::NmrOneD</type>
      <spectrum_id>7877</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::NmrOneD</type>
      <spectrum_id>7878</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::NmrOneD</type>
      <spectrum_id>7879</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::NmrOneD</type>
      <spectrum_id>7880</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::NmrOneD</type>
      <spectrum_id>7881</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::NmrOneD</type>
      <spectrum_id>166439</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::CMs</type>
      <spectrum_id>662</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::CMs</type>
      <spectrum_id>663</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::CMs</type>
      <spectrum_id>664</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::CMs</type>
      <spectrum_id>665</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::CMs</type>
      <spectrum_id>666</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::CMs</type>
      <spectrum_id>912</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::CMs</type>
      <spectrum_id>967</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::CMs</type>
      <spectrum_id>2760</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::CMs</type>
      <spectrum_id>30029</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::CMs</type>
      <spectrum_id>30030</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::CMs</type>
      <spectrum_id>30383</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::CMs</type>
      <spectrum_id>30384</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::CMs</type>
      <spectrum_id>30615</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::CMs</type>
      <spectrum_id>30616</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::CMs</type>
      <spectrum_id>30725</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::CMs</type>
      <spectrum_id>30802</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::CMs</type>
      <spectrum_id>31254</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::CMs</type>
      <spectrum_id>31255</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::CMs</type>
      <spectrum_id>37823</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::CMs</type>
      <spectrum_id>134289</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::CMs</type>
      <spectrum_id>142023</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::CMs</type>
      <spectrum_id>1080931</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::CMs</type>
      <spectrum_id>1080933</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::CMs</type>
      <spectrum_id>1080935</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::MsMs</type>
      <spectrum_id>1244</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::MsMs</type>
      <spectrum_id>1245</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::MsMs</type>
      <spectrum_id>1246</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::MsMs</type>
      <spectrum_id>4762</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::MsMs</type>
      <spectrum_id>4763</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::MsMs</type>
      <spectrum_id>4764</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::MsMs</type>
      <spectrum_id>4765</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::MsMs</type>
      <spectrum_id>4766</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::MsMs</type>
      <spectrum_id>4767</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::MsMs</type>
      <spectrum_id>4768</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::MsMs</type>
      <spectrum_id>4769</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::MsMs</type>
      <spectrum_id>4770</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::MsMs</type>
      <spectrum_id>4771</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::MsMs</type>
      <spectrum_id>4772</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::MsMs</type>
      <spectrum_id>4773</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::MsMs</type>
      <spectrum_id>4774</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::MsMs</type>
      <spectrum_id>4775</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::MsMs</type>
      <spectrum_id>4776</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::MsMs</type>
      <spectrum_id>4777</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::MsMs</type>
      <spectrum_id>4783</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::MsMs</type>
      <spectrum_id>4784</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::MsMs</type>
      <spectrum_id>4785</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::MsMs</type>
      <spectrum_id>178806</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::MsMs</type>
      <spectrum_id>178807</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::MsMs</type>
      <spectrum_id>178808</spectrum_id>
    </spectrum>
  </spectra>
  <normal_concentrations>
    <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>169.3</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>7212 +/- 2861</concentration_value>
      <concentration_units>uM</concentration_units>
      <comment>Detected by NMR</comment>
      <references>
        <reference>
          <reference_text>Abdullah BASOGLU, Nuri BASPINAR, Alparslan COSKUN. NMR-based metabolomic evaluation in dairy cows with displaced abomasum. Turk J Vet Anim Sci (2014) 38(3):325-330</reference_text>
          <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>Samples collected from 54 Holstein cows</comment>
      <references>
        <reference>
          <reference_text>Maher AD, Hayes B, Cocks B, Marett L, Wales WJ, Rochfort SJ: Latent biochemical relationships in the blood-milk metabolic axis of dairy cows revealed by statistical integration of 1H NMR spectroscopic data. J Proteome Res. 2013 Mar 1;12(3):1428-35. doi: 10.1021/pr301056q. Epub 2013 Feb 21.</reference_text>
          <pubmed_id>23394630</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>262-322</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>160</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>166-180</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>226-244</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>356 +/- 34</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/>
      <concentration_units/>
      <comment>Detected by NMR. Samples have been collected from 22 clinically normal, 6-12 month old Holstein–Friesian heifers and stored at -20 °C for between 2 and 15 years.</comment>
      <references>
        <reference>
          <reference_text>Trabi M, Keller MD, Johnsson NN. NMR-based metabonomics of bovine blood: an investigation into the effects of long term storage on plasma samples. Metabolomics (2013) 9:1041-1047   doi: 10.1007/s11306-013-0520-2</reference_text>
          <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>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>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>408 +/- 73</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>270 +/- 62</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>11.27 +/- 3.98</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>13 +/- 1</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>13 +/- 1</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>13 +/- 1</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>13 +/- 1</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>2 - 11</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>5 - 29</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>20487.203</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>20487.203</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>20487.203</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>20487.203</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>20487.203</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>20487.203</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>20487.203</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>13 +/- 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>14 +/- 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>16.7 +/- 0.2</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>15 +/- 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>7.92 +/- 1.59</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/>
      <concentration_units/>
      <comment>Detected but not quantified in conventional whole milk</comment>
      <references>
        <reference>
          <reference_text>Kurt J. Boudonck, Matthew W. Mitchell, Jacob Wulff and John A. Ryals. Characterization of the biochemical variability of bovine milk using metabolomics. Metabolomics (2009) 5:375?386</reference_text>
          <pubmed_id/>
        </reference>
      </references>
    </concentration>
    <concentration>
      <biospecimen>Milk</biospecimen>
      <concentration_value/>
      <concentration_units/>
      <comment>Commercial, conventional whole milk</comment>
      <references>
        <reference>
          <reference_text>Kurt J. Boudonck, Matthew W. Mitchell, Jacob Wulff, John A. Ryals. Characterization of the biochemical variability of bovine milk using metabolomics. Metabolomics (2009) 5:375-386   doi: 10.1007/s11306-009-0160-8</reference_text>
          <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>Whole milk  from markets</comment>
      <references>
        <reference>
          <reference_text>Scano P, Murgia A, Pirisi FM, Caboni P: A gas chromatography-mass spectrometry-based metabolomic approach for the characterization of goat milk compared with cow milk. J Dairy Sci. 2014 Oct;97(10):6057-66. doi: 10.3168/jds.2014-8247. Epub 2014 Aug 6.</reference_text>
          <pubmed_id>25108860</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>8.55 +/- 2.14</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>111.25 +/- 11.56</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>115.1 +/- 15.63</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>268.81 +/- 19.22</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>71-288</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>550</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>76.65 +/- 5.44</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>1950 +/- 270</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>2730 +/- 490</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>710 +/- 80</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>1100 +/- 150</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>57-83</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>332-876</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>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>Ruminal Fluid</biospecimen>
      <concentration_value>2.27</concentration_value>
      <concentration_units>uM</concentration_units>
      <references>
        <reference>
          <reference_text>Bhatia SK, Pradhan K, Singh R: Microbial transaminase activities and their relationship with bovine rumen metabolites. J Dairy Sci. 1979 Mar;62(3):441-6. doi: 10.3168/jds.S0022-0302(79)83264-6.</reference_text>
          <pubmed_id>447894</pubmed_id>
        </reference>
      </references>
    </concentration>
    <concentration>
      <biospecimen>Ruminal Fluid</biospecimen>
      <concentration_value>133.8 +/- 49.8</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>71-593</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>132</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>188.1</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>247.8</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>133.8</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/>
      <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>55-194</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 mid-lactating primiparous Holstein cows.</comment>
      <references>
        <reference>
          <reference_text>Zhao S, Zhao J, Bu D, Sun P, Wang J, Dong Z: Metabolomics analysis reveals large effect of roughage types on rumen microbial metabolic profile in dairy cows. Lett Appl Microbiol. 2014 Jul;59(1):79-85. doi: 10.1111/lam.12247. Epub 2014 Apr  4.</reference_text>
          <pubmed_id>24617926</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>139 +/- 34</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>199 +/- 60</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>248 +/- 55</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>144 +/- 72</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>143 +/- 52</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, 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/>
      <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>109</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/>
      <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>166</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/>
      <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>173</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>Ruminal Fluid</biospecimen>
      <concentration_value>848 +/- 295</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>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>278 +/- 49</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>50</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/>
      <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>Testis</biospecimen>
      <concentration_value>197 +/- 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>
  </normal_concentrations>
  <foodb_id>FDB004905</foodb_id>
  <chemspider_id>6050</chemspider_id>
  <pubchem_compound_id>6287</pubchem_compound_id>
  <kegg_id>C00183</kegg_id>
  <pdbe_id/>
  <chebi_id>16414</chebi_id>
  <drugbank_id>DB00161</drugbank_id>
  <meta_cyc_id>VAL</meta_cyc_id>
  <phenol_explorer_compound_id/>
  <knapsack_id>C00001398</knapsack_id>
  <bigg_id>34167</bigg_id>
  <wikipedia_id>L-valine</wikipedia_id>
  <metlin_id>5842</metlin_id>
  <synthesis_reference>Kinoshita, Shukuo; Udaka, Shigezo.  L-Valine production by fermentation.    (1962),     2 pp.</synthesis_reference>
  <general_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>
    <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>
    <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>
    <reference>
      <reference_text>Scano P, Murgia A, Pirisi FM, Caboni P: A gas chromatography-mass spectrometry-based metabolomic approach for the characterization of goat milk compared with cow milk. J Dairy Sci. 2014 Oct;97(10):6057-66. doi: 10.3168/jds.2014-8247. Epub 2014 Aug 6.</reference_text>
      <pubmed_id>25108860</pubmed_id>
    </reference>
    <reference>
      <reference_text>Mung D, Li L: Development of Chemical Isotope Labeling LC-MS for Milk Metabolomics: Comprehensive and Quantitative Profiling of the Amine/Phenol Submetabolome. Anal Chem. 2017 Apr 18;89(8):4435-4443. doi: 10.1021/acs.analchem.6b03737. Epub 2017 Mar 28.</reference_text>
      <pubmed_id>28306241</pubmed_id>
    </reference>
    <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>
    <reference>
      <reference_text>Mung D, Li L: Applying quantitative metabolomics based on chemical isotope labeling LC-MS for detecting potential milk adulterant in human milk. Anal Chim Acta. 2018 Feb 25;1001:78-85. doi: 10.1016/j.aca.2017.11.019. Epub 2017 Nov 14.</reference_text>
      <pubmed_id>29291809</pubmed_id>
    </reference>
    <reference>
      <reference_text>Kurt J. Boudonck, Matthew W. Mitchell, Jacob Wulff and John A. Ryals. Characterization of the biochemical variability of bovine milk using metabolomics. Metabolomics (2009) 5:375?386</reference_text>
    </reference>
    <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_associations>
</metabolite>
