Metabolomics and 16S rRNA sequencing of human colorectal cancers and adjacent mucosa
Colorectal cancer (CRC) is ranked the third most common cancer in human worldwide. However, the exact mechanisms of CRC are not well established. Furthermore, there may be differences between mechanisms of CRC in the Asian and in the Western populations. In the present study, we utilized a liquid ch...
Gespeichert in:
| Veröffentlicht in: | PloS one 2018-12, Vol.13 (12), p.e0208584 |
|---|---|
| Hauptverfasser: | , , , , , , , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | |
|---|---|
| container_issue | 12 |
| container_start_page | e0208584 |
| container_title | PloS one |
| container_volume | 13 |
| creator | Loke, Mun Fai Chua, Eng Guan Gan, Han Ming Thulasi, Kumar Wanyiri, Jane W Thevambiga, Iyadorai Goh, Khean Lee Wong, Won Fen Vadivelu, Jamuna |
| description | Colorectal cancer (CRC) is ranked the third most common cancer in human worldwide. However, the exact mechanisms of CRC are not well established. Furthermore, there may be differences between mechanisms of CRC in the Asian and in the Western populations. In the present study, we utilized a liquid chromatography-mass spectrometry (LC-MS) metabolomic approach supported by the 16S rRNA next-generation sequencing to investigate the functional and taxonomical differences between paired tumor and unaffected (normal) surgical biopsy tissues from 17 Malaysian patients. Metabolomic differences associated with steroid biosynthesis, terpenoid biosynthesis and bile metabolism could be attributed to microbiome differences between normal and tumor sites. The relative abundances of Anaerotruncus, Intestinimonas and Oscillibacter displayed significant relationships with both steroid biosynthesis and terpenoid and triterpenoid biosynthesis pathways. Metabolites involved in serotonergic synapse/ tryptophan metabolism (Serotonin and 5-Hydroxy-3-indoleacetic acid [5-HIAA]) were only detected in normal tissue samples. On the other hand, S-Adenosyl-L-homocysteine (SAH), a metabolite involves in methionine metabolism and methylation, was frequently increased in tumor relative to normal tissues. In conclusion, this study suggests that local microbiome dysbiosis may contribute to functional changes at the cancer sites. Results from the current study also contributed to the list of metabolites that are found to differ between normal and tumor sites in CRC and supported our quest for understanding the mechanisms of carcinogenesis. |
| doi_str_mv | 10.1371/journal.pone.0208584 |
| format | Article |
| fullrecord | <record><control><sourceid>gale_plos_</sourceid><recordid>TN_cdi_plos_journals_2159701073</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A566646348</galeid><doaj_id>oai_doaj_org_article_360d3972bd94491e85d332413db588d8</doaj_id><sourcerecordid>A566646348</sourcerecordid><originalsourceid>FETCH-LOGICAL-c758t-33244dfedda3de54539d6d2a1aab24e02d239314475d2c7b0b963f836b8631443</originalsourceid><addsrcrecordid>eNqNkt2L1DAUxYso7of-B6IFYcGHGZPcJG1fhGHxY2B1YXf1Ndwm6UyHthmTVvS_N3W6yxQUpA8tt79zcnt6kuQFJUsKGX27c4PvsFnuXWeXhJFc5PxRckoLYAvJCDw-ej5JzkLYESIgl_JpcgJEZBIoO03uPtseS9e4ttYhxc6kVN6m_ubLKg32-2A7XXeb1FXpdmixS3UkvdU9NqnGTlt_0KDZobZdn7aDdgGfJU8qbIJ9Pt3Pk68f3t9dflpcXX9cX66uFjoTeb8AYJybyhqDYKzgAgojDUOKWDJuCTMMCqCcZ8IwnZWkLCRUOcgyl-MYzpNXB99944KaAgmKUVFkhJIMIrE-EMbhTu193aL_pRzW6s_A-Y1C39e6sQokMVBkrDQF5wW1uTDjghRMKfLc5NHr3XTaULbWjN_rsZmZzt909VZt3A8lgcTAi2jwejLwLkYb-n-sPFEbjFvVXeWimW7roNVKSCm5BD4us_wLFS9j45-MlajqOJ8J3swEkentz36DQwhqfXvz_-z1tzl7ccRuLTb9Nrhm6GvXhTnID6D2LgRvq4fkKFFjo-_TUGOj1dToKHt5nPqD6L7C8Bumju7E</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2159701073</pqid></control><display><type>article</type><title>Metabolomics and 16S rRNA sequencing of human colorectal cancers and adjacent mucosa</title><source>MEDLINE</source><source>DOAJ Directory of Open Access Journals</source><source>Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals</source><source>PubMed Central</source><source>Free Full-Text Journals in Chemistry</source><source>Public Library of Science (PLoS)</source><creator>Loke, Mun Fai ; Chua, Eng Guan ; Gan, Han Ming ; Thulasi, Kumar ; Wanyiri, Jane W ; Thevambiga, Iyadorai ; Goh, Khean Lee ; Wong, Won Fen ; Vadivelu, Jamuna</creator><creatorcontrib>Loke, Mun Fai ; Chua, Eng Guan ; Gan, Han Ming ; Thulasi, Kumar ; Wanyiri, Jane W ; Thevambiga, Iyadorai ; Goh, Khean Lee ; Wong, Won Fen ; Vadivelu, Jamuna</creatorcontrib><description>Colorectal cancer (CRC) is ranked the third most common cancer in human worldwide. However, the exact mechanisms of CRC are not well established. Furthermore, there may be differences between mechanisms of CRC in the Asian and in the Western populations. In the present study, we utilized a liquid chromatography-mass spectrometry (LC-MS) metabolomic approach supported by the 16S rRNA next-generation sequencing to investigate the functional and taxonomical differences between paired tumor and unaffected (normal) surgical biopsy tissues from 17 Malaysian patients. Metabolomic differences associated with steroid biosynthesis, terpenoid biosynthesis and bile metabolism could be attributed to microbiome differences between normal and tumor sites. The relative abundances of Anaerotruncus, Intestinimonas and Oscillibacter displayed significant relationships with both steroid biosynthesis and terpenoid and triterpenoid biosynthesis pathways. Metabolites involved in serotonergic synapse/ tryptophan metabolism (Serotonin and 5-Hydroxy-3-indoleacetic acid [5-HIAA]) were only detected in normal tissue samples. On the other hand, S-Adenosyl-L-homocysteine (SAH), a metabolite involves in methionine metabolism and methylation, was frequently increased in tumor relative to normal tissues. In conclusion, this study suggests that local microbiome dysbiosis may contribute to functional changes at the cancer sites. Results from the current study also contributed to the list of metabolites that are found to differ between normal and tumor sites in CRC and supported our quest for understanding the mechanisms of carcinogenesis.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0208584</identifier><identifier>PMID: 30576312</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Adult ; Aged ; Antibiotics ; Antifungal agents ; Bacteria - classification ; Bacteria - genetics ; Bacteria - isolation & purification ; Bile ; Biofilms ; Biology and Life Sciences ; Biomarkers ; Biopsy ; Biosynthesis ; Breast cancer ; Cancer ; Cancer cells ; Cancer therapies ; Carcinogenesis ; Carcinogens ; Chromatography ; Chromatography, High Pressure Liquid ; Colorectal cancer ; Colorectal carcinoma ; Colorectal Neoplasms - microbiology ; Colorectal Neoplasms - pathology ; Development and progression ; Diagnosis ; DNA methylation ; Dysbacteriosis ; Female ; Genetic aspects ; Genomics ; High-Throughput Nucleotide Sequencing ; Homocysteine ; Humans ; Indoleacetic acid ; Intestinal Mucosa - microbiology ; L-Homocysteine ; Liquid chromatography ; Male ; Mass spectrometry ; Mass spectroscopy ; Medicine ; Medicine and Health Sciences ; Metabolism ; Metabolites ; Metabolomics ; Methionine ; Microbiomes ; Microbiota ; Middle Aged ; Mucosa ; Next-generation sequencing ; NMR ; Nuclear magnetic resonance ; Population ; Population studies ; Principal Component Analysis ; RNA sequencing ; RNA, Ribosomal, 16S - chemistry ; RNA, Ribosomal, 16S - genetics ; RNA, Ribosomal, 16S - metabolism ; rRNA 16S ; S-Adenosylhomocysteine - metabolism ; Scientific imaging ; Sequence Analysis, DNA ; Serotonin ; Steroids ; Steroids - biosynthesis ; Studies ; Surgery ; Synapses ; Tandem Mass Spectrometry ; Terpenes - chemistry ; Terpenes - metabolism ; Tissues ; Tryptophan ; Tumors ; Womens health</subject><ispartof>PloS one, 2018-12, Vol.13 (12), p.e0208584</ispartof><rights>COPYRIGHT 2018 Public Library of Science</rights><rights>2018 Loke et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2018 Loke et al 2018 Loke et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c758t-33244dfedda3de54539d6d2a1aab24e02d239314475d2c7b0b963f836b8631443</citedby><cites>FETCH-LOGICAL-c758t-33244dfedda3de54539d6d2a1aab24e02d239314475d2c7b0b963f836b8631443</cites><orcidid>0000-0003-1082-1956 ; 0000-0002-3554-5313</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC6303059/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC6303059/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,860,881,2096,2915,23845,27901,27902,53766,53768,79343,79344</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/30576312$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Loke, Mun Fai</creatorcontrib><creatorcontrib>Chua, Eng Guan</creatorcontrib><creatorcontrib>Gan, Han Ming</creatorcontrib><creatorcontrib>Thulasi, Kumar</creatorcontrib><creatorcontrib>Wanyiri, Jane W</creatorcontrib><creatorcontrib>Thevambiga, Iyadorai</creatorcontrib><creatorcontrib>Goh, Khean Lee</creatorcontrib><creatorcontrib>Wong, Won Fen</creatorcontrib><creatorcontrib>Vadivelu, Jamuna</creatorcontrib><title>Metabolomics and 16S rRNA sequencing of human colorectal cancers and adjacent mucosa</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>Colorectal cancer (CRC) is ranked the third most common cancer in human worldwide. However, the exact mechanisms of CRC are not well established. Furthermore, there may be differences between mechanisms of CRC in the Asian and in the Western populations. In the present study, we utilized a liquid chromatography-mass spectrometry (LC-MS) metabolomic approach supported by the 16S rRNA next-generation sequencing to investigate the functional and taxonomical differences between paired tumor and unaffected (normal) surgical biopsy tissues from 17 Malaysian patients. Metabolomic differences associated with steroid biosynthesis, terpenoid biosynthesis and bile metabolism could be attributed to microbiome differences between normal and tumor sites. The relative abundances of Anaerotruncus, Intestinimonas and Oscillibacter displayed significant relationships with both steroid biosynthesis and terpenoid and triterpenoid biosynthesis pathways. Metabolites involved in serotonergic synapse/ tryptophan metabolism (Serotonin and 5-Hydroxy-3-indoleacetic acid [5-HIAA]) were only detected in normal tissue samples. On the other hand, S-Adenosyl-L-homocysteine (SAH), a metabolite involves in methionine metabolism and methylation, was frequently increased in tumor relative to normal tissues. In conclusion, this study suggests that local microbiome dysbiosis may contribute to functional changes at the cancer sites. Results from the current study also contributed to the list of metabolites that are found to differ between normal and tumor sites in CRC and supported our quest for understanding the mechanisms of carcinogenesis.</description><subject>Adult</subject><subject>Aged</subject><subject>Antibiotics</subject><subject>Antifungal agents</subject><subject>Bacteria - classification</subject><subject>Bacteria - genetics</subject><subject>Bacteria - isolation & purification</subject><subject>Bile</subject><subject>Biofilms</subject><subject>Biology and Life Sciences</subject><subject>Biomarkers</subject><subject>Biopsy</subject><subject>Biosynthesis</subject><subject>Breast cancer</subject><subject>Cancer</subject><subject>Cancer cells</subject><subject>Cancer therapies</subject><subject>Carcinogenesis</subject><subject>Carcinogens</subject><subject>Chromatography</subject><subject>Chromatography, High Pressure Liquid</subject><subject>Colorectal cancer</subject><subject>Colorectal carcinoma</subject><subject>Colorectal Neoplasms - microbiology</subject><subject>Colorectal Neoplasms - pathology</subject><subject>Development and progression</subject><subject>Diagnosis</subject><subject>DNA methylation</subject><subject>Dysbacteriosis</subject><subject>Female</subject><subject>Genetic aspects</subject><subject>Genomics</subject><subject>High-Throughput Nucleotide Sequencing</subject><subject>Homocysteine</subject><subject>Humans</subject><subject>Indoleacetic acid</subject><subject>Intestinal Mucosa - microbiology</subject><subject>L-Homocysteine</subject><subject>Liquid chromatography</subject><subject>Male</subject><subject>Mass spectrometry</subject><subject>Mass spectroscopy</subject><subject>Medicine</subject><subject>Medicine and Health Sciences</subject><subject>Metabolism</subject><subject>Metabolites</subject><subject>Metabolomics</subject><subject>Methionine</subject><subject>Microbiomes</subject><subject>Microbiota</subject><subject>Middle Aged</subject><subject>Mucosa</subject><subject>Next-generation sequencing</subject><subject>NMR</subject><subject>Nuclear magnetic resonance</subject><subject>Population</subject><subject>Population studies</subject><subject>Principal Component Analysis</subject><subject>RNA sequencing</subject><subject>RNA, Ribosomal, 16S - chemistry</subject><subject>RNA, Ribosomal, 16S - genetics</subject><subject>RNA, Ribosomal, 16S - metabolism</subject><subject>rRNA 16S</subject><subject>S-Adenosylhomocysteine - metabolism</subject><subject>Scientific imaging</subject><subject>Sequence Analysis, DNA</subject><subject>Serotonin</subject><subject>Steroids</subject><subject>Steroids - biosynthesis</subject><subject>Studies</subject><subject>Surgery</subject><subject>Synapses</subject><subject>Tandem Mass Spectrometry</subject><subject>Terpenes - chemistry</subject><subject>Terpenes - metabolism</subject><subject>Tissues</subject><subject>Tryptophan</subject><subject>Tumors</subject><subject>Womens health</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><sourceid>DOA</sourceid><recordid>eNqNkt2L1DAUxYso7of-B6IFYcGHGZPcJG1fhGHxY2B1YXf1Ndwm6UyHthmTVvS_N3W6yxQUpA8tt79zcnt6kuQFJUsKGX27c4PvsFnuXWeXhJFc5PxRckoLYAvJCDw-ej5JzkLYESIgl_JpcgJEZBIoO03uPtseS9e4ttYhxc6kVN6m_ubLKg32-2A7XXeb1FXpdmixS3UkvdU9NqnGTlt_0KDZobZdn7aDdgGfJU8qbIJ9Pt3Pk68f3t9dflpcXX9cX66uFjoTeb8AYJybyhqDYKzgAgojDUOKWDJuCTMMCqCcZ8IwnZWkLCRUOcgyl-MYzpNXB99944KaAgmKUVFkhJIMIrE-EMbhTu193aL_pRzW6s_A-Y1C39e6sQokMVBkrDQF5wW1uTDjghRMKfLc5NHr3XTaULbWjN_rsZmZzt909VZt3A8lgcTAi2jwejLwLkYb-n-sPFEbjFvVXeWimW7roNVKSCm5BD4us_wLFS9j45-MlajqOJ8J3swEkentz36DQwhqfXvz_-z1tzl7ccRuLTb9Nrhm6GvXhTnID6D2LgRvq4fkKFFjo-_TUGOj1dToKHt5nPqD6L7C8Bumju7E</recordid><startdate>20181221</startdate><enddate>20181221</enddate><creator>Loke, Mun Fai</creator><creator>Chua, Eng Guan</creator><creator>Gan, Han Ming</creator><creator>Thulasi, Kumar</creator><creator>Wanyiri, Jane W</creator><creator>Thevambiga, Iyadorai</creator><creator>Goh, Khean Lee</creator><creator>Wong, Won Fen</creator><creator>Vadivelu, Jamuna</creator><general>Public Library of Science</general><general>Public Library of Science (PLoS)</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>IOV</scope><scope>ISR</scope><scope>3V.</scope><scope>7QG</scope><scope>7QL</scope><scope>7QO</scope><scope>7RV</scope><scope>7SN</scope><scope>7SS</scope><scope>7T5</scope><scope>7TG</scope><scope>7TM</scope><scope>7U9</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB.</scope><scope>KB0</scope><scope>KL.</scope><scope>L6V</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>M7P</scope><scope>M7S</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PATMY</scope><scope>PDBOC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>RC3</scope><scope>5PM</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0003-1082-1956</orcidid><orcidid>https://orcid.org/0000-0002-3554-5313</orcidid></search><sort><creationdate>20181221</creationdate><title>Metabolomics and 16S rRNA sequencing of human colorectal cancers and adjacent mucosa</title><author>Loke, Mun Fai ; Chua, Eng Guan ; Gan, Han Ming ; Thulasi, Kumar ; Wanyiri, Jane W ; Thevambiga, Iyadorai ; Goh, Khean Lee ; Wong, Won Fen ; Vadivelu, Jamuna</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c758t-33244dfedda3de54539d6d2a1aab24e02d239314475d2c7b0b963f836b8631443</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Adult</topic><topic>Aged</topic><topic>Antibiotics</topic><topic>Antifungal agents</topic><topic>Bacteria - classification</topic><topic>Bacteria - genetics</topic><topic>Bacteria - isolation & purification</topic><topic>Bile</topic><topic>Biofilms</topic><topic>Biology and Life Sciences</topic><topic>Biomarkers</topic><topic>Biopsy</topic><topic>Biosynthesis</topic><topic>Breast cancer</topic><topic>Cancer</topic><topic>Cancer cells</topic><topic>Cancer therapies</topic><topic>Carcinogenesis</topic><topic>Carcinogens</topic><topic>Chromatography</topic><topic>Chromatography, High Pressure Liquid</topic><topic>Colorectal cancer</topic><topic>Colorectal carcinoma</topic><topic>Colorectal Neoplasms - microbiology</topic><topic>Colorectal Neoplasms - pathology</topic><topic>Development and progression</topic><topic>Diagnosis</topic><topic>DNA methylation</topic><topic>Dysbacteriosis</topic><topic>Female</topic><topic>Genetic aspects</topic><topic>Genomics</topic><topic>High-Throughput Nucleotide Sequencing</topic><topic>Homocysteine</topic><topic>Humans</topic><topic>Indoleacetic acid</topic><topic>Intestinal Mucosa - microbiology</topic><topic>L-Homocysteine</topic><topic>Liquid chromatography</topic><topic>Male</topic><topic>Mass spectrometry</topic><topic>Mass spectroscopy</topic><topic>Medicine</topic><topic>Medicine and Health Sciences</topic><topic>Metabolism</topic><topic>Metabolites</topic><topic>Metabolomics</topic><topic>Methionine</topic><topic>Microbiomes</topic><topic>Microbiota</topic><topic>Middle Aged</topic><topic>Mucosa</topic><topic>Next-generation sequencing</topic><topic>NMR</topic><topic>Nuclear magnetic resonance</topic><topic>Population</topic><topic>Population studies</topic><topic>Principal Component Analysis</topic><topic>RNA sequencing</topic><topic>RNA, Ribosomal, 16S - chemistry</topic><topic>RNA, Ribosomal, 16S - genetics</topic><topic>RNA, Ribosomal, 16S - metabolism</topic><topic>rRNA 16S</topic><topic>S-Adenosylhomocysteine - metabolism</topic><topic>Scientific imaging</topic><topic>Sequence Analysis, DNA</topic><topic>Serotonin</topic><topic>Steroids</topic><topic>Steroids - biosynthesis</topic><topic>Studies</topic><topic>Surgery</topic><topic>Synapses</topic><topic>Tandem Mass Spectrometry</topic><topic>Terpenes - chemistry</topic><topic>Terpenes - metabolism</topic><topic>Tissues</topic><topic>Tryptophan</topic><topic>Tumors</topic><topic>Womens health</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Loke, Mun Fai</creatorcontrib><creatorcontrib>Chua, Eng Guan</creatorcontrib><creatorcontrib>Gan, Han Ming</creatorcontrib><creatorcontrib>Thulasi, Kumar</creatorcontrib><creatorcontrib>Wanyiri, Jane W</creatorcontrib><creatorcontrib>Thevambiga, Iyadorai</creatorcontrib><creatorcontrib>Goh, Khean Lee</creatorcontrib><creatorcontrib>Wong, Won Fen</creatorcontrib><creatorcontrib>Vadivelu, Jamuna</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Gale In Context: Opposing Viewpoints</collection><collection>Gale In Context: Science</collection><collection>ProQuest Central (Corporate)</collection><collection>Animal Behavior Abstracts</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Biotechnology Research Abstracts</collection><collection>Nursing & Allied Health Database</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Immunology Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Agricultural Science Collection</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Materials Science Collection</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Materials Science Database</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>ProQuest Engineering Collection</collection><collection>ProQuest Biological Science Collection</collection><collection>Agricultural Science Database</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biological Science Database</collection><collection>Engineering Database</collection><collection>Nursing & Allied Health Premium</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Environmental Science Database</collection><collection>Materials Science Collection</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Engineering Collection</collection><collection>Environmental Science Collection</collection><collection>Genetics Abstracts</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Loke, Mun Fai</au><au>Chua, Eng Guan</au><au>Gan, Han Ming</au><au>Thulasi, Kumar</au><au>Wanyiri, Jane W</au><au>Thevambiga, Iyadorai</au><au>Goh, Khean Lee</au><au>Wong, Won Fen</au><au>Vadivelu, Jamuna</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Metabolomics and 16S rRNA sequencing of human colorectal cancers and adjacent mucosa</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2018-12-21</date><risdate>2018</risdate><volume>13</volume><issue>12</issue><spage>e0208584</spage><pages>e0208584-</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>Colorectal cancer (CRC) is ranked the third most common cancer in human worldwide. However, the exact mechanisms of CRC are not well established. Furthermore, there may be differences between mechanisms of CRC in the Asian and in the Western populations. In the present study, we utilized a liquid chromatography-mass spectrometry (LC-MS) metabolomic approach supported by the 16S rRNA next-generation sequencing to investigate the functional and taxonomical differences between paired tumor and unaffected (normal) surgical biopsy tissues from 17 Malaysian patients. Metabolomic differences associated with steroid biosynthesis, terpenoid biosynthesis and bile metabolism could be attributed to microbiome differences between normal and tumor sites. The relative abundances of Anaerotruncus, Intestinimonas and Oscillibacter displayed significant relationships with both steroid biosynthesis and terpenoid and triterpenoid biosynthesis pathways. Metabolites involved in serotonergic synapse/ tryptophan metabolism (Serotonin and 5-Hydroxy-3-indoleacetic acid [5-HIAA]) were only detected in normal tissue samples. On the other hand, S-Adenosyl-L-homocysteine (SAH), a metabolite involves in methionine metabolism and methylation, was frequently increased in tumor relative to normal tissues. In conclusion, this study suggests that local microbiome dysbiosis may contribute to functional changes at the cancer sites. Results from the current study also contributed to the list of metabolites that are found to differ between normal and tumor sites in CRC and supported our quest for understanding the mechanisms of carcinogenesis.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>30576312</pmid><doi>10.1371/journal.pone.0208584</doi><tpages>e0208584</tpages><orcidid>https://orcid.org/0000-0003-1082-1956</orcidid><orcidid>https://orcid.org/0000-0002-3554-5313</orcidid><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 1932-6203 |
| ispartof | PloS one, 2018-12, Vol.13 (12), p.e0208584 |
| issn | 1932-6203 1932-6203 |
| language | eng |
| recordid | cdi_plos_journals_2159701073 |
| source | MEDLINE; DOAJ Directory of Open Access Journals; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; PubMed Central; Free Full-Text Journals in Chemistry; Public Library of Science (PLoS) |
| subjects | Adult Aged Antibiotics Antifungal agents Bacteria - classification Bacteria - genetics Bacteria - isolation & purification Bile Biofilms Biology and Life Sciences Biomarkers Biopsy Biosynthesis Breast cancer Cancer Cancer cells Cancer therapies Carcinogenesis Carcinogens Chromatography Chromatography, High Pressure Liquid Colorectal cancer Colorectal carcinoma Colorectal Neoplasms - microbiology Colorectal Neoplasms - pathology Development and progression Diagnosis DNA methylation Dysbacteriosis Female Genetic aspects Genomics High-Throughput Nucleotide Sequencing Homocysteine Humans Indoleacetic acid Intestinal Mucosa - microbiology L-Homocysteine Liquid chromatography Male Mass spectrometry Mass spectroscopy Medicine Medicine and Health Sciences Metabolism Metabolites Metabolomics Methionine Microbiomes Microbiota Middle Aged Mucosa Next-generation sequencing NMR Nuclear magnetic resonance Population Population studies Principal Component Analysis RNA sequencing RNA, Ribosomal, 16S - chemistry RNA, Ribosomal, 16S - genetics RNA, Ribosomal, 16S - metabolism rRNA 16S S-Adenosylhomocysteine - metabolism Scientific imaging Sequence Analysis, DNA Serotonin Steroids Steroids - biosynthesis Studies Surgery Synapses Tandem Mass Spectrometry Terpenes - chemistry Terpenes - metabolism Tissues Tryptophan Tumors Womens health |
| title | Metabolomics and 16S rRNA sequencing of human colorectal cancers and adjacent mucosa |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-02T02%3A05%3A58IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_plos_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Metabolomics%20and%2016S%20rRNA%20sequencing%20of%20human%20colorectal%20cancers%20and%20adjacent%20mucosa&rft.jtitle=PloS%20one&rft.au=Loke,%20Mun%20Fai&rft.date=2018-12-21&rft.volume=13&rft.issue=12&rft.spage=e0208584&rft.pages=e0208584-&rft.issn=1932-6203&rft.eissn=1932-6203&rft_id=info:doi/10.1371/journal.pone.0208584&rft_dat=%3Cgale_plos_%3EA566646348%3C/gale_plos_%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2159701073&rft_id=info:pmid/30576312&rft_galeid=A566646348&rft_doaj_id=oai_doaj_org_article_360d3972bd94491e85d332413db588d8&rfr_iscdi=true |