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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Microbiol.</journal-id>
<journal-title>Frontiers in Microbiology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Microbiol.</abbrev-journal-title>
<issn pub-type="epub">1664-302X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fmicb.2017.00536</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Microbiology</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Global Fecal and Plasma Metabolic Dynamics Related to <italic>Helicobacter pylori</italic> Eradication</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Yap</surname> <given-names>Theresa Wan-Chen</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/388681/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Leow</surname> <given-names>Alex Hwong-Ruey</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Azmi</surname> <given-names>Ahmad Najib</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/397365/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Callahan</surname> <given-names>Damien L.</given-names></name>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/92774/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Perez-Perez</surname> <given-names>Guillermo I.</given-names></name>
<xref ref-type="aff" rid="aff5"><sup>5</sup></xref>
<xref ref-type="aff" rid="aff6"><sup>6</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Loke</surname> <given-names>Mun-Fai</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff7"><sup>7</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/211920/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Goh</surname> <given-names>Khean-Lee</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/106099/overview"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Vadivelu</surname> <given-names>Jamuna</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="author-notes" rid="fn001"><sup>&#x0002A;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/79215/overview"/>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>Department of Medical Microbiology, Faculty of Medicine, University of Malaya</institution> <country>Kuala Lumpur, Malaysia</country></aff>
<aff id="aff2"><sup>2</sup><institution>Department of Medicine, Faculty of Medicine, University of Malaya</institution> <country>Kuala Lumpur, Malaysia</country></aff>
<aff id="aff3"><sup>3</sup><institution>Faculty of Medicine and Health Sciences, Universiti Sains Islam Malaysia</institution> <country>Kuala Lumpur, Malaysia</country></aff>
<aff id="aff4"><sup>4</sup><institution>Centre for Chemistry and Biotechnology, School of Life and Environmental Sciences, Deakin University</institution> <country>Geelong, VIC, Australia</country></aff>
<aff id="aff5"><sup>5</sup><institution>Department of Medicine, New York University School of Medicine</institution> <country>New York, NY, USA</country></aff>
<aff id="aff6"><sup>6</sup><institution>Department of Microbiology, New York University School of Medicine</institution> <country>New York, NY, USA</country></aff>
<aff id="aff7"><sup>7</sup><institution>Department of Microbiology and Immunology, Yong Loo Lin School of Medicine, National University of Singapore</institution> <country>Singapore, Singapore</country></aff>
<author-notes>
<fn fn-type="edited-by"><p>Edited by: Dimitris G. Hatzinikolaou, National and Kapodistrian University of Athens, Greece</p></fn>
<fn fn-type="edited-by"><p>Reviewed by: Valerio Iebba, Sapienza University of Rome, Italy; Santosh Kumar Bharti, Johns Hopkins School of Medicine, USA</p></fn>
<fn fn-type="corresp" id="fn001"><p>&#x0002A;Correspondence: Jamuna Vadivelu <email>jamuna&#x00040;ummc.edu.my</email></p></fn>
<fn fn-type="other" id="fn002"><p>This article was submitted to Systems Microbiology, a section of the journal Frontiers in Microbiology</p></fn>
</author-notes>
<pub-date pub-type="epub">
<day>30</day>
<month>03</month>
<year>2017</year>
</pub-date>
<pub-date pub-type="collection">
<year>2017</year>
</pub-date>
<volume>8</volume>
<elocation-id>536</elocation-id>
<history>
<date date-type="received">
<day>07</day>
<month>11</month>
<year>2016</year>
</date>
<date date-type="accepted">
<day>14</day>
<month>03</month>
<year>2017</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x000A9; 2017 Yap, Leow, Azmi, Callahan, Perez-Perez, Loke, Goh and Vadivelu.</copyright-statement>
<copyright-year>2017</copyright-year>
<copyright-holder>Yap, Leow, Azmi, Callahan, Perez-Perez, Loke, Goh and Vadivelu</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/"><p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p></license>
</permissions>
<abstract>
<p><bold>Background:</bold> <italic>Helicobacter pylori</italic> colonizes the gastric mucosa of more than half of the world&#x00027;s population. There is increasing evidence <italic>H. pylori</italic> protects against the development of obesity and childhood asthma/allergies in which the development of these diseases coincide with transient dysbiosis. However, the mechanism underlying the association of <italic>H. pylori</italic> eradication with human metabolic and immunological disorders is not well-established. In this study, we aimed to investigate the local and systemic effects of <italic>H. pylori</italic> eradication through untargeted fecal lipidomics and plasma metabolomics approaches by liquid chromatography mass spectrometry (LC-MS).</p>
<p><bold>Results:</bold> Our study revealed that eradication of <italic>H. pylori</italic> eradication (i.e., loss of <italic>H. pylori</italic> and/or <italic>H. pylori</italic> eradication therapy) changed many global metabolite/lipid features, with the majority being down-regulated. Our findings primarily show that <italic>H. pylori</italic> eradication affects the host energy and lipid metabolism which may eventually lead to the development of metabolic disorders.</p>
<p><bold>Conclusion:</bold> These predictive metabolic signatures of metabolic and immunological disorders following <italic>H. pylori</italic> eradication can provide insights into dynamic local and systemic metabolism related to <italic>H. pylori</italic> eradication in modulating human health.</p></abstract>
<kwd-group>
<kwd>fecal</kwd>
<kwd>plasma</kwd>
<kwd><italic>Helicobacter pylori</italic></kwd>
<kwd>lipidomics</kwd>
<kwd>metabolomics</kwd>
</kwd-group>
<counts>
<fig-count count="6"/>
<table-count count="2"/>
<equation-count count="0"/>
<ref-count count="94"/>
<page-count count="22"/>
<word-count count="12352"/>
</counts>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="s1">
<title>Introduction</title>
<p><italic>Helicobacter pylori</italic> is a spiral-shaped, microaerophilic, Gram-negative bacterium that colonizes the gastric mucosa of more than half of the world&#x00027;s population in which its prevalence is as high as 80% in some developing countries (Clyne et al., <xref ref-type="bibr" rid="B17">2007</xref>). Most <italic>H. pylori</italic> carriers remain asymptomatic in their lifetimes, however, a minority group develops peptic ulcers (10&#x02013;20%), gastric cancer (1&#x02013;2%), and rarely mucosa-associated lymphoid tissue (MALT) lymphoma (Kusters et al., <xref ref-type="bibr" rid="B46">2006</xref>) later in life. <italic>H. pylori</italic> is believed to have colonized the human stomach even prior to the initial migration of our ancestors out of East Africa at least 100,000 years ago (Moodley et al., <xref ref-type="bibr" rid="B54">2012</xref>). It has been postulated that <italic>H. pylori</italic> may be part of the human indigenous microbiota. However, <italic>H. pylori</italic> is gradually disappearing from the human indigenous microbiota due to development of socioeconomic, modern hygienic practices and advent of antibiotics. There is an growing epidemiological and experimental evidences on the protective effects of <italic>H. pylori</italic> against the development of obesity (Nwokolo et al., <xref ref-type="bibr" rid="B59">2003</xref>; Osawa, <xref ref-type="bibr" rid="B62">2008</xref>; Francois et al., <xref ref-type="bibr" rid="B30">2011</xref>; Yap et al., <xref ref-type="bibr" rid="B93">2015</xref>, <xref ref-type="bibr" rid="B92">2016</xref>), childhood asthma (Chen and Blaser, <xref ref-type="bibr" rid="B15">2008</xref>), allergies (Amberbir et al., <xref ref-type="bibr" rid="B5">2011</xref>), inflammatory bowel diseases (Amnon and Robert, <xref ref-type="bibr" rid="B8">2012</xref>), in which the development of these diseases coincide with transient dysbiosis. However, the underlying protective mechanism of <italic>H. pylori</italic> against the development of these metabolic and immunological disorders is still not well-established.</p>
<p>Over the last two decades, systems biology has emerged as an important tool to provide insights into the role of mammalian gut microbial metabolic interactions in influencing an individual&#x00027;s susceptibility to health and disease outcomes (Martin et al., <xref ref-type="bibr" rid="B53">2012</xref>). The emergence of systems biology coincides with the completion of the Human Genome Project (HGP) (Lander et al., <xref ref-type="bibr" rid="B47">2001</xref>; Venter et al., <xref ref-type="bibr" rid="B87">2001</xref>) and the concomitant emergence of &#x0201C;omics technologies,&#x0201D; namely transcriptomics (Schena et al., <xref ref-type="bibr" rid="B76">1995</xref>; Lashkari et al., <xref ref-type="bibr" rid="B48">1997</xref>), proteomics (Patterson and Aebersold, <xref ref-type="bibr" rid="B66">2003</xref>), metabolomics (Oliver et al., <xref ref-type="bibr" rid="B61">1998</xref>; Fiehn, <xref ref-type="bibr" rid="B29">2001</xref>) and most recently, lipidomics (Han and Gross, <xref ref-type="bibr" rid="B36">2003</xref>; Wenk, <xref ref-type="bibr" rid="B91">2005</xref>). Lipidomics is the global characterization of the structure and function of lipids within a living system (Harkewicz and Dennis, <xref ref-type="bibr" rid="B38">2011</xref>). Omics technologies could be utilized to decipher the vastly complex metabolic exchange between various biological compartments of the <italic>H. pylori</italic> infected human host (including tissues, organs and systemic biofluids) and his gut microbiota and ultimately to help further understand the profound influence exerted by <italic>H. pylori</italic> and gut bacterial microbiota on the metabolic equilibrium of the host and, as a consequence, on his health status.</p>
<p>The present study was carried out in the Malaysian population to determine the implications of <italic>H. pylori</italic> eradication, particularly in the Asian community. We hypothesized that eradication of <italic>H. pylori</italic> (loss of <italic>H. pylori</italic> and/or <italic>H. pylori</italic> eradication therapy) may have undesirable implications on metabolic and immunological disorders. Our earlier studies indicate that <italic>H. pylori</italic> eradication could result in perturbation of gut microbiome (Yap et al., <xref ref-type="bibr" rid="B92">2016</xref>) and homeostasis of human metabolic hormones involved in appetite-control and energy metabolism (Yap et al., <xref ref-type="bibr" rid="B93">2015</xref>). This may eventually lead to the development of metabolic disorders. In this study, we aimed to investigate the association of <italic>H. pylori</italic> eradication with human metabolic and immunological disorders through untargeted fecal lipidomics and plasma metabolomics approaches by liquid chromatography mass spectrometry (LC-MS). Fecal lipidomics enabled us to evaluate the local effects following <italic>H. pylori</italic> eradication on the gut microbiota, whereas plasma metabolomics reflected the systemic effects of <italic>H. pylori</italic> eradication.</p>
</sec>
<sec sec-type="materials and methods" id="s2">
<title>Materials and methods</title>
<sec>
<title>Study population</title>
<p>This study is part of the presently on-going ESSAY (Eradication Study in Stable Adults/Youths) study in New York, the European Center, and Malaysia. The recruitment of volunteers in Malaysia was conducted at the University of Malaya Medical Centre (UMMC) between June 2012 and May 2014 as described in details in our early study (Yap et al., <xref ref-type="bibr" rid="B93">2015</xref>). Firstly, healthy young adults between the ages of 18 and 30 years old were assessed for eligibility. The exclusion criteria for the study were diabetes, hyper or hypothyroidism, prior gastric or bariatric surgery, prior documented treatment of <italic>H. pylori</italic>, antibiotic use within 4 weeks of enrollment, steroid or other immunomodulating drugs use within 4 weeks of enrolment, recent vaccination and Charlson weighed comorbidity index &#x0003C;2. The study protocol was reviewed and approved by Medical Ethics Committee at UMMC (Ref No. 877.1). Prior to study participation, written informed consent was obtained from qualified volunteers. <italic>H. pylori</italic>&#x00027;s status of the qualified candidates was determined as described earlier (Yap et al., <xref ref-type="bibr" rid="B93">2015</xref>).</p>
</sec>
<sec>
<title>Sample collection</title>
<p>Sample collection was performed as reported in a previous investigation using the same study population (Yap et al., <xref ref-type="bibr" rid="B93">2015</xref>). Figure <xref ref-type="fig" rid="F1">1</xref> illustrates the workflow for enrolment of <italic>H. pylori</italic>-positive volunteers into the ESSAY Study. As reported previously, 57 (9.9%) of the 573 volunteers screened in the ESSAY study were tested positive for <italic>H. pylori</italic> using both non-radioactive <sup>13</sup>C Urea Breath Test (UBT) and detection of anti-<italic>H. pylori</italic> antibodies and were considered as <italic>H. pylori</italic>-positive. However, only 32 agreed and consented to participate in the study (Yap et al., <xref ref-type="bibr" rid="B93">2015</xref>).</p>
<fig id="F1" position="float">
<label>Figure 1</label>
<caption><p><bold>Summary of ESSAY Study (Yap et al., <xref ref-type="bibr" rid="B93">2015</xref>)</bold>.</p></caption>
<graphic xlink:href="fmicb-08-00536-g0001.tif"/>
</fig>
</sec>
<sec>
<title>Baseline visit</title>
<p><italic>H. pylori</italic>-positive volunteers were instructed to arrive at the Endoscopic Unit of UMMC at 8 a.m. after 12 h of fasting. 5 ml of fasting blood was collected in EDTA-coated tube. The protease inhibitor, 4-(2-Aminoethyl) benzenesulfonyl fluoride hydrochloride (AEBSF) (Sigma-Aldrich, St. Louis MO), at a concentration of 1 mg/ml, was added to the blood collection tubes. Tubes were kept on ice until centrifuged, and plasma was kept at &#x02212;80&#x000B0;C for metabolomics analysis. Fecal samples were also collected and frozen immediately at &#x02212;80&#x000B0;C for lipidomics analysis.</p>
</sec>
<sec>
<title><italic>H. pylori</italic> eradication therapy</title>
<p>Volunteers who tested positive for <italic>H. pylori</italic> were prescribed with a 7-day twice daily regimen and a proton pump inhibitor as per current standard of care (amoxicillin 1,000 mg, clarithromycin 500 mg, and pantoprazole 40 mg). &#x02265;6 weeks after completion of the treatment protocol, <italic>H. pylori</italic> eradication was ascertained using the non-radioactive <sup>13</sup>C Urea Breath Test. Volunteers who failed the first-line eradication regimen were offered second-line eradication therapy with a 2-week twice daily regime (amoxicillin 1,000 mg, levofloxacin 500 mg and rabeprazole 20 mg) (Yap et al., <xref ref-type="bibr" rid="B93">2015</xref>).</p>
</sec>
<sec>
<title>Follow-up assessment</title>
<p>Eventually, 29 volunteers whom <italic>H. pylori</italic> infection were successfully eradicated were recruited to the ESSAY Study. These volunteers returned for follow-up assessment at 6, 12, and 18 months, paralleling that described for the baseline visit. The number of volunteers returned for follow-up assessment was 29, 18, and 12 respectively (Figure <xref ref-type="fig" rid="F1">1</xref>).</p>
</sec>
<sec>
<title>Fecal sample preparation and lipids extraction</title>
<p>All the organic solvents used for fecal lipids and plasma metabolites extraction were of HPLC-grade. Methanol, acetonitrile and isopropanol were purchased from Friendemann Schmidt (Australia), methyl <italic>tert</italic>-butyl ether/hexafluoroisopropanol (MTBE) was purchased from Sigma-Aldrich (St. Louis, MO), LCMS-grade water from a Milli-Q water purification system (EMD Millipore, Billerica, MA) and formic acid from Sigma-Aldrich (St. Louis, MO).</p>
<p>Firstly, fecal slurry for each fecal sample was prepared by combining 150 mg solid fecal material in three ml of water. The fecal slurry was then diluted with water in 1:3 ratio. The diluted fecal slurries were then pooled into different groups according to gender, body mass index (BMI), and race (Table <xref ref-type="supplementary-material" rid="SM5">S1</xref>) to ascertain whether these variables are the confounding factors of this study. 50 &#x003BC;l of each diluted fecal slurry samples from different group was placed into 2 ml centrifuge tube. Five hundred microliters of methanol was added to each tube and vortexed for 30 s to ensure all components were thoroughly mixed. The mixed samples were then vortexed intermittently for 15 min and centrifuged at 12,000 &#x000D7; g for 10 min to pellet insoluble fecal material. The supernatant was then transferred to 15 ml polypropylene centrifuge tubes. MTBE, 2 ml per sample, was added to each tube, vortexed to mix, and incubated at room temperature for 10 min to precipitate proteins. The lipid-containing supernatants were transferred to new 15 ml tubes, and 1.5 ml of water was added to induce phase separation. Samples were vortexed 30 s to mix, then centrifuged at 5,000 &#x000D7; g for 5 min. After phase separation, the lipid-containing MTBE phase forms the top layer, whilst the methanol and water forms the bottom layer. The top layer lipid extracts were aspirated and transferred to new tubes (Gregory et al., <xref ref-type="bibr" rid="B33">2013</xref>). The lipid extracts were dried in a CentriVap Concentrator Systems (LABCONCO, Kansas City, MO) at 4&#x000B0;C and then resuspended to a 500 &#x003BC;l of acetonitrile:isopropanol:water (65:30:5), vortexed for 30 s and then centrifuged again at 12,000 &#x000D7; g for 5 min before injecting into liquid chromatography system.</p>
</sec>
<sec>
<title>Plasma sample preparation and metabolites extraction</title>
<p>Prior to the experimental sample extraction, the ratio of methanol to sample (v/v) for plasma metabolite extraction as well as the resuspension volume of 95:5 water:acetonitrile were optimized. Similar to fecal lipids extraction, the experimental plasma samples were pooled into different groups according to gender, body mass index (BMI), and race (Table <xref ref-type="supplementary-material" rid="SM5">S1</xref>) to ascertain whether these variables are the confounding factors of this study. Protein precipitation was conducted by adding 500 &#x003BC;l aliquots of ice cold methanol to 100 &#x003BC;l aliquots of plasma samples. The samples were instantaneously vortexed for 30 s and incubated on ice for 20 min. After centrifugation at 12,000 &#x000D7; g for 10 min, the metabolite containing supernatant was removed from the precipitated protein pellet and transferred to fresh tubes. The supernatant samples were dried in a CentriVap Concentrator Systems (LABCONCO, Kansas City, MO) at 4&#x000B0;C and then resuspended to a 100 &#x003BC;l of water: acetonitrile (95:5), vortexed for 30 s and then centrifuged again at 12,000 &#x000D7; g for 5 min before injecting into liquid chromatography system (Denery et al., <xref ref-type="bibr" rid="B20">2010</xref>).</p>
</sec>
<sec>
<title>Fecal lipidomics and plasma metabolomics analysis</title>
<sec>
<title>High-performance liquid chromatography mass spectrometry (LC-MS)</title>
<p>LC-MS analyses on the fecal lipids were performed on a 1260 Infinity High Performance Liquid Chromatography system coupled with a 6540 UHD Accurate-Mass Q-TOF mass spectrometer from Agilent Technologies (Santa Clara, CA) with a Dual Agilent Jet Stream Electrospray Ionization (Dual AJS ESI) source.</p>
<p>Analysis was performed utilizing both positive ionization and negative ionization mode of the Dual AJS ESI source and using All Ions MS/MS technique. All Ions MS/MS alternates between high and low energy scans during acquisition: high energy scans create fragment ions, low energy scans preserve the precursor ions. Optimization of several LC parameters such as injection volume, flowrate, and LC gradient were conducted. To ensure the reproducibility and robustness of the data acquired, a pooled biological quality control samples (PBQC) (constituted of pooled aliquots of all experimental fecal samples) and a lipid standards mixture (Avanti Polar Lipids, Alabaster, AL) (Table <xref ref-type="supplementary-material" rid="SM6">S2</xref>) were periodically injected throughout the duration of analysis. The sample run order was also assigned randomly to avoid any systematic bias.</p>
<p>The aqueous mobile phase (mobile phase A) was 60% acetonitrile and 40% water with 10 mM ammonium acetate (ThermoFisher Scientific, Waltham, MA) and the organic mobile phase (mobile phase B) was 10% acetonitrile and 90% isopropanol with 10 mM ammonium acetate. A 10 &#x003BC;l of extracted fecal lipids was loaded onto Zorbax Eclipse Plus C18, 2.1 &#x000D7; 100 mm, 1.8 &#x003BC;m reverse phase column (Agilent Technologies, Santa Clara, CA) with 70% mobile phase B at 0.20 ml/min. Lipids were eluted from the column with a gradient of 70&#x02013;100% mobile phase B over 8 min at 0.20 ml/min followed by a 7 min rinse of 100% mobile phase B. The column was immediately re-equilibrated under the initial conditions (isocratic hold at 70% mobile phase B) for 10 min.</p>
<p>Consistent mass accuracy (&#x0003C;2 ppm) was maintained through a constant infusion (2 &#x003BC;l/min) of reference calibrants, methyl stearate and HP-122l (with reference mass of 299.294457 and 1221.990637 m/z, respectively), via a reference nebulizer. Data were collected in both positive and negative ESI mode acquiring in centroid mode from 100 to 1,700 m/z with an acquisition rate of 1 spectrum per second in 2 GHz extended dynamic range. The Dual AJS ESI capillary voltage was set at 3.5 kV and nozzle voltage was set at 1 kV; The gas temperature, drying gas flow, nebulizer pressure, sheath gas temperature and sheath gas flow were set at 300&#x000B0;C, 8 l/min, 35 psig, 350&#x000B0;C and 11 l/min, respectively. The fragmentor and skimmer voltage were set at 175 and 65 V, correspondingly. For All Ions MS/MS, collision energy was ramped from 0 to 40 V during each 4 s data collection cycle. All the acquired mass spectral data was collected in a .<italic>d</italic> format.</p>
<p>The platform and methodology for LC-MS analyses on the plasma metabolomics were the same as fecal lipids mentioned above except that instead of using All Ions MS/MS technique, only MS was used. A PBQC (constituted of pooled of all experimental plasma samples) and an external commercial Waters MetID Small Molecule Standard Mix (constituted of 5-hydroxy omeprazole and omeprazole sulfone) (Waters Corporation, Milford, MA) were periodically injected throughout the duration of analysis.</p>
<p>For positive ionization, the aqueous mobile phase (mobile phase A) was water with 0.1% formic acid and the organic mobile phase (mobile phase B) was acetonitrile with 0.1% formic acid. For negative ionization, the aqueous mobile phase (mobile phase A) was water with 1 mM ammonium fluoride (Sigma-Aldrich, St. Louis, MO) and the organic mobile phase (mobile phase B) was acetonitrile only. The instrument control and data acquisition were conducted using the MassHunter Workstation Data Acquisition software, version B.05.01 (Agilent Technologies, Santa Clara, CA). A five &#x003BC;l of extracted plasma metabolites was loaded onto Zorbax Eclipse Plus C18, 2.1 &#x000D7; 100 mm, 1.8 &#x003BC;m reverse phase column (Agilent Technologies, Santa Clara, CA) with 5% mobile phase B at 0.45 ml/min. Metabolites were eluted from the column with a gradient of 5&#x02013;100% mobile phase B over 22 min at 0.45 ml/min followed by a 5 min rinse of 100% mobile phase B. The column was immediately re-equilibrated under the initial conditions (isocratic hold at 5% mobile phase B) for 5 min.</p>
<p>Data were collected in both positive and negative ESI mode acquiring in profile mode from 70 to 1,700 m/z with an acquisition rate of 2 spectra per second in 2 GHz extended dynamic range. The Dual AJS ESI capillary voltage was set at 3 kV; The gas temperature, drying gas flow, nebulizer pressure, sheath gas temperature and sheath gas flow were set at 300&#x000B0;C, 10 l/min, 45 psig, 250&#x000B0;C, and 8 l/min, respectively. For the MS Q-TOF, the fragmentor and skimmer voltage were set at 140 and 60 V, correspondingly. All the acquired mass spectral data was collected in a .<italic>d</italic> format.</p>
</sec>
<sec>
<title>Data processing and statistical analysis</title>
<p>Molecular features were extracted (Find by Molecular Feature) with Agilent MassHunter Workstation Qualitative Analysis software, version B.06.00 (Agilent Technologies, Santa Clara, CA). A feature condenses the abundances from all the specified adducts and isotopes of a compound into a single compound. The extracted data was exported as compound exchange file (.cef files) and imported into Mass Profiler Professional (MPP) software, version 12.1 (Agilent Technologies, Santa Clara, CA) for the first round of data filtering, alignment and normalization. The generated list of compounds was then exported as a recursive list. Subsequently, a targeted feature finding (Find by Formula-Options) was performed with MassHunter Workstation Qualitative Analysis software by using the recursive list as source of formula to confirm the identified compounds; a mass tolerance of 5 ppm was set. The recursed data was then exported as compound exchange file (.cef files). The recursed .cef files were then imported into MPP to perform data processing, compounds identification and annotation, and differential and statistical analysis between baseline and post-<italic>H. pylori</italic> eradication groups. MPP integrated with ID Browser was used for identification and annotation of compounds using LC/MS Personal Compound Databases (METLIN database). A one-way ANOVA and Tukey&#x00027;s honest significant difference (HSD) <italic>post-hoc</italic> analysis were performed to compare the lipids/metabolites between Baseline vs. 6 months, Baseline vs. 12 months post-<italic>H. pylori</italic> eradication and Baseline vs. 18 months post-<italic>H. pylori</italic> eradication; a two-tailed <italic>p</italic> &#x0003C; 0.01 and false discovery rate (FDR) of &#x0003C;1% were considered significant. A multivariate statistical analysis, i.e., Principle Component Analysis (PCA) and Hierarchical Cluster Analysis (HCA), were performed to observe clustering, trends and outliers in our data sets and to examine whether the Baseline and post-<italic>H. pylori</italic> eradication groups could be differentiated using lipid/metabolite profiles. For HCA analysis, clustering algorithm base on Euclidean distance was used. Identifying small molecules/lipids that showed significant changes between Baseline and post-eradication groups is the most laborious and time-consuming aspect of non-targeted metabolomics/lipidomics. Each identified entities were manually checked through to filter out wrongly annotated or ambiguous lipids as well as non-annotated entities and sorted them into different categories. The significant differentially expressed lipids/metabolites were then mapped to pathways using Pathway Analysis integrated in MPP.</p>
</sec>
</sec>
</sec>
<sec sec-type="results" id="s3">
<title>Results</title>
<sec>
<title>Fecal lipidomics profiling</title>
<p>The LC-MS approach was used to investigate the dynamics of fecal lipidomics profiles pre- and post-<italic>H. pylori</italic> eradication on samples collected at Baseline prior to <italic>H. pylori</italic> eradication and 6, 12, and 18 months post-eradication. The numbers of fecal samples that were collected in the study were 29, 23, 14, and 11 samples respectively. In order to minimize bias as well as to identify confounding factors that may affect our findings, the collected fecal samples were pooled into different groups according to gender, body mass index (BMI), and race for LC-MS analysis (Table <xref ref-type="supplementary-material" rid="SM5">S1</xref>).</p>
<p>The LC-ESI-TOF total ion chromatograms (TIC) of fecal lipidomics for Baseline and post-eradication groups, acquired under ESI positive and negative ionization, correspondingly, demonstrated several peaks with different intensities, marked by asterisks in the TIC, that were readily observed between the Baseline and post-<italic>H. pylori</italic> eradication groups (Figures <xref ref-type="supplementary-material" rid="SM1">S1</xref>, <xref ref-type="supplementary-material" rid="SM2">S2</xref>). Data analysis using one-way ANOVA and Tukey&#x00027;s honest significant difference (HSD) <italic>post-hoc</italic> analysis of the fecal lipidome revealed a large number of significantly changed molecular features between Baseline and post-<italic>H. pylori</italic> eradication groups and a total of approximately 1,300&#x02013;1,600 molecular features were extracted from a typical positive and negative LC-ESI-TOF chromatogram between Baseline and post-<italic>H. pylori</italic> eradication groups (Table <xref ref-type="supplementary-material" rid="SM7">S3</xref>). Of the total molecular features, 513 and 434 of these features were significantly changed between Baseline and post-eradication groups, acquired under positive and negative ionization respectively.</p>
<p>Subsequently, a multivariate statistical principal component analysis (PCA) and hierarchical cluster analysis (HCA) were employed to examine whether samples belonging to Baseline and post-eradication groups could be differentiated based on their lipids profiles. Both the two-dimensional PCA scores plots and HCA dendrograms showed clear separation of samples of Baseline and post-<italic>H. pylori</italic> eradication groups, under both positive and negative ionization modes (Figures <xref ref-type="fig" rid="F2">2</xref>, <xref ref-type="fig" rid="F3">3</xref>). However, these plots did not show distinct separation between the different pooled fecal groups which indicated that gender, BMI and race were not the confounding factors in this study.</p>
<fig id="F2" position="float">
<label>Figure 2</label>
<caption><p><bold>Two-dimensional PCA scores plot of fecal lipidomics for Baseline, 6, 12, and 18 months post-<italic><bold>H. pylori</bold></italic> eradication, acquired under both (A)</bold> positive and <bold>(B)</bold> negative ionization modes.</p></caption>
<graphic xlink:href="fmicb-08-00536-g0002.tif"/>
</fig>
<fig id="F3" position="float">
<label>Figure 3</label>
<caption><p><bold>HCA dendrogram of fecal lipidomics for Baseline, 6, 12, and 18 months post-<italic><bold>H. pylori</bold></italic> eradication, acquired under both (A)</bold> positive and <bold>(B)</bold> negative ionization modes.</p></caption>
<graphic xlink:href="fmicb-08-00536-g0003.tif"/>
</fig>
</sec>
<sec>
<title>Identification of potential fecal lipids</title>
<p>In order to identify the potential fecal lipids associated with <italic>H. pylori</italic> eradication, the significantly altered molecular features were identified and annotated as entities using Mass Profiler Professional (MPP) integrated with ID Browser and LC/MS Personal Compound Databases (METLIN database). In brief, 161, 271, and 269 entities were significantly changed when we compared Baseline vs. 6 months, Baseline vs. 12 months, and Baseline vs. 18 months post-<italic>H. pylori</italic> eradication, respectively (File <xref ref-type="supplementary-material" rid="SM11">S1</xref>). After excluding the redundancies (e.g., lipids detected in both ionization modes), it was found that when Baseline was compared with 6 months-post eradication, 34 and 13 lipids were up-regulated and down-regulated respectively. Conversely, more lipids were down-regulated when Baseline was compared to the 12 and 18 months-post eradication groups. When Baseline was compared with 12 months-post eradication, 29 and 43 lipids were up-regulated and down-regulated respectively. When Baseline was compared with 18 months-post eradication, 25 and 45 lipids were up-regulated and down-regulated correspondingly (Table <xref ref-type="supplementary-material" rid="SM8">S4</xref>). These lipids could be categorized into key lipid classes such as fatty acyls, glycerolipids, glycerophospholipids, sphingolipids, sterol lipids, prenol lipids and saccharolipids, of which five were mapped to different biochemical pathways which include retrograde endocannabinoid signaling and sphingolipid metabolism (Table <xref ref-type="table" rid="T1">1</xref>).</p>
<table-wrap position="float" id="T1">
<label>Table 1</label>
<caption><p><bold>Selected significantly expressed fecal lipids (<italic><bold>p</bold></italic> &#x0003C; 0.001) between Baseline and post-<italic><bold>H. pylori</bold></italic> eradication groups</bold>.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="left"><bold>KEGG/HMDB/LMID</bold></th>
<th valign="top" align="left"><bold>Lipid</bold></th>
<th valign="top" align="left"><bold>Class</bold></th>
<th valign="top" align="left"><bold>Pathway</bold></th>
<th valign="top" align="center"><bold>m/z</bold></th>
<th valign="top" align="center"><bold>RT (min)</bold></th>
<th valign="top" align="center"><bold>Comparison of expression level at 6 months post-eradication to Baseline<xref ref-type="table-fn" rid="TN1"><sup>a</sup></xref></bold></th>
<th valign="top" align="center"><bold>Comparison of expression level at 12 months post-eradication to Baseline<xref ref-type="table-fn" rid="TN1"><sup>a</sup></xref></bold></th>
<th valign="top" align="center"><bold>Comparison of expression level at 18 months post-eradication to Baseline<xref ref-type="table-fn" rid="TN1"><sup>a</sup></xref></bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">C19913/LMFA08020002</td>
<td valign="top" align="left">Anandamide 0-phosphate</td>
<td valign="top" align="left">Fatty acyls</td>
<td valign="top" align="left">Retrograde endocannabinoid signaling</td>
<td valign="top" align="center">445.2819</td>
<td valign="top" align="center">14.79</td>
<td valign="top" align="center">&#x0002B;11.72</td>
<td valign="top" align="center">&#x0002B;3.40</td>
<td valign="top" align="center">&#x02212;3.31</td>
</tr>
<tr>
<td valign="top" align="left">C00836/</td>
<td valign="top" align="left">Sphinganine</td>
<td valign="top" align="left">Sphingolipids</td>
<td valign="top" align="left">Sphingolipid metabolism</td>
<td valign="top" align="center">302.3567</td>
<td valign="top" align="center">1.56</td>
<td valign="top" align="center">&#x0002B;1.77</td>
<td valign="top" align="center">&#x0002B;1.30</td>
<td valign="top" align="center">&#x0002B;0.82</td>
</tr>
<tr>
<td valign="top" align="left">HMDB00269/LMSP01020001</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">C12144/</td>
<td valign="top" align="left">Phytosphingosine</td>
<td valign="top" align="left">Sphingolipids</td>
<td valign="top" align="left">Sphingolipid metabolism</td>
<td valign="top" align="center">318.2937</td>
<td valign="top" align="center">1.45</td>
<td valign="top" align="center">&#x02212;19.48</td>
<td valign="top" align="center">&#x02212;18.77</td>
<td valign="top" align="center">&#x02212;4.25</td>
</tr>
<tr>
<td valign="top" align="left">HMDB04610/LMSP01030001</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">HMDB13244/LMSL01040002</td>
<td valign="top" align="left">Lipid A -disaccharide-1-P</td>
<td valign="top" align="left">Saccharolipids</td>
<td valign="top" align="center">&#x02212;</td>
<td valign="top" align="center">661.4385</td>
<td valign="top" align="center">10.03</td>
<td valign="top" align="center">&#x0002B;0.38</td>
<td valign="top" align="center">&#x0002B;3.98</td>
<td valign="top" align="center">&#x0002B;16.15</td>
</tr>
<tr>
<td valign="top" align="left">LMPR04000022</td>
<td valign="top" align="left">32,35-anhydrobacteriohopaneterol</td>
<td valign="top" align="left">Prenol lipids</td>
<td valign="top" align="center">&#x02212;</td>
<td valign="top" align="center">527.4471</td>
<td valign="top" align="center">11.54</td>
<td valign="top" align="center">&#x0002B;0.25</td>
<td valign="top" align="center">&#x0002B;0.21</td>
<td valign="top" align="center">&#x02212;13.32</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="TN1">
<label>a</label>
<p><italic>Expression level indicates log<sub>2</sub> fold change (FC). &#x0002B; indicates up-regulated in post-eradication group; &#x02212; indicates down-regulated in post-eradication group</italic>.</p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec>
<title>Plasma metabolomics profiling</title>
<p>LC-MS was also used for untargeted plasma metabolomics to investigate the systemic changes in small molecules that may be associated with <italic>H. pylori</italic> eradication on the same study population. Plasma metabolomics profiling was performed on samples collected at Baseline, 6, 12, and 18 months-post <italic>H. pylori</italic> eradication. The number of plasma samples collected at Baseline, 6, 12, and 18 months-post <italic>H. pylori</italic> eradication were 29, 29, 18, and 12 samples respectively. Parallel to fecal lipidomics study, the collected plasma samples were pooled into different groups according to gender, body mass index (BMI), and race for LC-MS analysis (Table <xref ref-type="supplementary-material" rid="SM5">S1</xref>).</p>
<p>Several dominant differences of peak intensities, marked by asterisks in the TIC, could be noted from the LC-ESI-TOF TIC of plasma metabolites of Baseline and post-eradication groups, acquired under ESI positive and negative ionization (Figures <xref ref-type="supplementary-material" rid="SM3">S3</xref>, <xref ref-type="supplementary-material" rid="SM4">S4</xref>). One-way ANOVA and Tukey&#x00027;s HSD <italic>post-hoc</italic> analysis showed that approximately a total of 7,000&#x02013;20,000 molecular features could be extracted from a typical positive LC-ESI-TOF chromatogram whereas only approximately 2,000&#x02013;5,000 features could be extracted from a typical negative LC-ESI-TOF chromatogram (Table <xref ref-type="supplementary-material" rid="SM9">S5</xref>). Of this enormous amount of molecular features detected, only 5,932 and 1,867 features were markedly changed between Baseline and post-eradication groups, acquired under positive and negative ionization respectively.</p>
<p>Subsequently, a multivariate statistical principal component analysis (PCA) and hierarchical cluster analysis (HCA) were employed to examine whether samples belonging to Baseline and post-eradication groups could be differentiated based on their metabolite profiles. Both of these plots also showed clear separation of samples between the Baseline and post-<italic>H. pylori</italic> eradication groups, under both positive and negative ionization modes, as illustrated in Figures <xref ref-type="fig" rid="F4">4</xref>, <xref ref-type="fig" rid="F5">5</xref>. Parallel to fecal lipidomics analysis, both the two-dimensional PCA scores plots and HCA dendrograms did not show distinct separation between the different pooled plasma groups which indicated that gender, BMI and race were not the confounding factors.</p>
<fig id="F4" position="float">
<label>Figure 4</label>
<caption><p><bold>Two-dimensional PCA of plasma metabolomics for Baseline, 6 months, 12 months, and 18 months post-<italic><bold>H. pylori</bold></italic> eradication, acquired under both (A)</bold> positive and <bold>(B)</bold> negative ionization modes.</p></caption>
<graphic xlink:href="fmicb-08-00536-g0004.tif"/>
</fig>
<fig id="F5" position="float">
<label>Figure 5</label>
<caption><p><bold>HCA dendrogram of plasma metabolomics for Baseline, 6, 12, and 18 post-<italic><bold>H. pylori</bold></italic> eradication, acquired under both (A)</bold> positive and <bold>(B)</bold> negative ionization modes.</p></caption>
<graphic xlink:href="fmicb-08-00536-g0005.tif"/>
</fig>
</sec>
<sec>
<title>Identification of potential small molecules in plasma</title>
<p>The same identification and annotation approaches were used for both lipid and metabolite datasets. Additionally, for plasma metabolomics, exogenous metabolites and xenobiotics were also filtered out as we were only interested in investigating the effects of <italic>H. pylori</italic> eradication on the human endogenous plasma metabolomes. To sum up, a total of 1,080, 1,125, and 1,262 entities were significantly changed for comparison of Baseline vs. 6 months, Baseline vs. 12 months, and Baseline vs. 18 months post-<italic>H. pylori</italic> eradication, respectively (File <xref ref-type="supplementary-material" rid="SM12">S2</xref>).</p>
<p>As mentioned above, although the same metabolite could be identified by the ID Browser as several different entities, are actually the components of one compound. After removing the redundant compounds, it was found that when the Baseline samples were compared with 6 months-post eradication, there were 222 and 348 metabolites that were up-regulated and down-regulated respectively. When Baseline was compared with 12 months-post eradication, the up- and down-regulated metabolites were 239 and 359 correspondingly. Conversely, only 45 metabolites were up-regulated but there were 551 metabolites down-regulated when Baseline was compared with 18 months-post eradication group (Table <xref ref-type="supplementary-material" rid="SM10">S6</xref>). These significantly changed metabolites included amino acids, purines, pyrimidines, cofactors, polar lipids etc. Among these significantly expressed metabolites, 71 of them could be categorized into 22 major classes of metabolites and mapped to different biochemical pathways (Table <xref ref-type="table" rid="T2">2</xref>). From the Pathway Analysis, porphyrin and chlorophyll metabolism was found to be the major perturbed pathway followed by tryptophan metabolism and bile acid biosynthesis.</p>
<table-wrap position="float" id="T2">
<label>Table 2</label>
<caption><p><bold>Selected significantly expressed plasma metabolites (<italic><bold>p</bold></italic> &#x0003C; 0.001) between Baseline and post-<italic><bold>H. pylori</bold></italic> eradication groups</bold>.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="left"><bold>KEGG/ HMDB/ LMID</bold></th>
<th valign="top" align="left"><bold>Metabolite</bold></th>
<th valign="top" align="left"><bold>Class</bold></th>
<th valign="top" align="left"><bold>Pathway</bold></th>
<th valign="top" align="left"><bold>m/z</bold></th>
<th valign="top" align="center"><bold>RT (min)</bold></th>
<th valign="top" align="center"><bold>Comparison of Expression level at 6 months post- eradication to Baseline<xref ref-type="table-fn" rid="TN2"><sup>a</sup></xref></bold></th>
<th valign="top" align="center"><bold>Comparison of Expression level at 12 months post- eradication to Baseline<xref ref-type="table-fn" rid="TN2"><sup>a</sup></xref></bold></th>
<th valign="top" align="center"><bold>Comparison of Expression level at 18 months post- eradication to Baseline<xref ref-type="table-fn" rid="TN2"><sup>a</sup></xref></bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">C00345/HMDB01316</td>
<td valign="top" align="left">6-Phosphogluconic acid</td>
<td valign="top" align="left">Carbohydrates and carbohydrate conjugates</td>
<td valign="top" align="left">Pentose Phosphate Pathway</td>
<td valign="top" align="left">139.0196</td>
<td valign="top" align="center">3.12</td>
<td valign="top" align="center">&#x0002B;13.24</td>
<td valign="top" align="center">&#x02212;</td>
<td valign="top" align="center">&#x02212;</td>
</tr>
<tr>
<td valign="top" align="left">C01598/HMDB01389</td>
<td valign="top" align="left">Melatonin</td>
<td valign="top" align="left">Indoles and derivatives</td>
<td valign="top" align="left">Tryptophan metabolism Melatonin biosynthesis</td>
<td valign="top" align="left">233.1282</td>
<td valign="top" align="center">5.00</td>
<td valign="top" align="center">&#x02212;10.26</td>
<td valign="top" align="center">&#x02212;12.06</td>
<td valign="top" align="center">&#x02212;12.06</td>
</tr>
<tr>
<td valign="top" align="left">C01017/HMDB00472</td>
<td valign="top" align="left">5-Hydroxytryptophan</td>
<td valign="top" align="left">Indoles and derivatives</td>
<td valign="top" align="left">Tryptophan metabolism Melatonin biosynthesis</td>
<td valign="top" align="left">221.0916</td>
<td valign="top" align="center">1.70</td>
<td valign="top" align="center">&#x02212;1.14</td>
<td valign="top" align="center">&#x02212;6.60</td>
<td valign="top" align="center">&#x02212;9.78</td>
</tr>
<tr>
<td valign="top" align="left">C00463/HMDB00738</td>
<td valign="top" align="left">Indole</td>
<td valign="top" align="left">Indoles and derivatives</td>
<td valign="top" align="left">Tryptophan metabolism</td>
<td valign="top" align="left">116.0507</td>
<td valign="top" align="center">2.13</td>
<td valign="top" align="center">&#x0002B;2.19</td>
<td valign="top" align="center">&#x0002B;1.07</td>
<td valign="top" align="center">&#x02212;7.52</td>
</tr>
<tr>
<td valign="top" align="left">C05635/HMDB00763</td>
<td valign="top" align="left">5-Hydroxyindoleacetic acid</td>
<td valign="top" align="left">Indoles and derivatives</td>
<td valign="top" align="left">Tryptophan metabolism</td>
<td valign="top" align="left">190.0509</td>
<td valign="top" align="center">1.21</td>
<td valign="top" align="center">&#x0002B;1.10</td>
<td valign="top" align="center">&#x02212;4.38</td>
<td valign="top" align="center">&#x02212;13.99</td>
</tr>
<tr>
<td valign="top" align="left">C00328/HMDB00684</td>
<td valign="top" align="left">Kynurenine</td>
<td valign="top" align="left">Benzene and substituted derivatives</td>
<td valign="top" align="left">Tryptophan metabolism</td>
<td valign="top" align="left">209.0918</td>
<td valign="top" align="center">1.43</td>
<td valign="top" align="center">&#x02212;5.78</td>
<td valign="top" align="center">&#x0002B;2.60</td>
<td valign="top" align="center">&#x02212;15.71</td>
</tr>
<tr>
<td valign="top" align="left">C05647/HMDB12948</td>
<td valign="top" align="left">Formyl-5-hydroxykynurenamine</td>
<td valign="top" align="left">Benzene and substituted derivatives</td>
<td valign="top" align="left">Tryptophan metabolism</td>
<td valign="top" align="left">207.0770</td>
<td valign="top" align="center">1.22</td>
<td valign="top" align="center">&#x0002B;2.72</td>
<td valign="top" align="center">&#x0002B;0.912</td>
<td valign="top" align="center">&#x02212;15.74</td>
</tr>
<tr>
<td valign="top" align="left">C01829/HMDB00248</td>
<td valign="top" align="left">Thyroxine</td>
<td valign="top" align="left">Benzene and substituted derivatives</td>
<td valign="top" align="left">Tyrosine metabolism Thyroid hormone synthesis</td>
<td valign="top" align="left">777.6942</td>
<td valign="top" align="center">12.64</td>
<td valign="top" align="center">&#x0002B;2.39</td>
<td valign="top" align="center">&#x02212;0.43</td>
<td valign="top" align="center">&#x02212;9.25</td>
</tr>
<tr>
<td valign="top" align="left">C15522/HMDB02281</td>
<td valign="top" align="left">4a-Hydroxytetrahydrobiopterin</td>
<td valign="top" align="left">Pteridines and derivatives</td>
<td valign="top" align="left">Tryptophan metabolism Phenylalanine and tyrosine metabolism</td>
<td valign="top" align="left">302.0840</td>
<td valign="top" align="center">5.93</td>
<td valign="top" align="center">&#x02212;14.40</td>
<td valign="top" align="center">&#x02212;7.80</td>
<td valign="top" align="center">&#x02212;18.57</td>
</tr>
<tr>
<td valign="top" align="left">C09332/HMDB06825</td>
<td valign="top" align="left">Tetrahydrofolyl-[Glu](2)</td>
<td valign="top" align="left">Pteridines and derivatives</td>
<td valign="top" align="left">Folate biosynthesis</td>
<td valign="top" align="left">597.2033</td>
<td valign="top" align="center">3.21</td>
<td valign="top" align="center">&#x0002B;16.98</td>
<td valign="top" align="center">&#x0002B;11.44</td>
<td valign="top" align="center">&#x02212;8.54</td>
</tr>
<tr>
<td valign="top" align="left">C05843/HMDB04194</td>
<td valign="top" align="left">N-Methyl-4-pyridone-3-carboxamide</td>
<td valign="top" align="left">Pyridines and derivatives</td>
<td valign="top" align="left">Nicotinate and nicotinamide metabolism</td>
<td valign="top" align="left">153.0653</td>
<td valign="top" align="center">0.96</td>
<td valign="top" align="center">&#x0002B;2.96</td>
<td valign="top" align="center">&#x02212;8.30</td>
<td valign="top" align="center">&#x02212;8.30</td>
</tr>
<tr>
<td valign="top" align="left">C00791/HMDB00562</td>
<td valign="top" align="left">Creatinine</td>
<td valign="top" align="left">Azolines</td>
<td valign="top" align="left">Arginine and proline metabolism</td>
<td valign="top" align="left">112.0517</td>
<td valign="top" align="center">0.67</td>
<td valign="top" align="center">&#x0002B;2.26</td>
<td valign="top" align="center">&#x02212;0.57</td>
<td valign="top" align="center">&#x02212;19.87</td>
</tr>
<tr>
<td valign="top" align="left">C00262/HMDB00157</td>
<td valign="top" align="left">Hypoxanthine</td>
<td valign="top" align="left">Imidazopyrimidines</td>
<td valign="top" align="left">Purine metabolism</td>
<td valign="top" align="left">137.0452</td>
<td valign="top" align="center">0.80</td>
<td valign="top" align="center">&#x02212;2.69</td>
<td valign="top" align="center">&#x0002B;10.19</td>
<td valign="top" align="center">&#x02212;4.32</td>
</tr>
<tr>
<td valign="top" align="left">C00147/HMDB00034</td>
<td valign="top" align="left">Adenine</td>
<td valign="top" align="left">Imidazopyrimidines</td>
<td valign="top" align="left">Purine metabolism</td>
<td valign="top" align="left">134.0471</td>
<td valign="top" align="center">0.93</td>
<td valign="top" align="center">&#x0002B;3.20</td>
<td valign="top" align="center">&#x02212;14.88</td>
<td valign="top" align="center">&#x02212;14.88</td>
</tr>
<tr>
<td valign="top" align="left">C04376/HMDB01308</td>
<td valign="top" align="left">5&#x02032;-Phosphoribosyl-N-formylglycinamide (FGAR)</td>
<td valign="top" align="left">Glycinamide Ribonucleotides</td>
<td valign="top" align="left">Purine metabolism</td>
<td valign="top" align="left">332.0851</td>
<td valign="top" align="center">12.29</td>
<td valign="top" align="center">&#x02212;13.98</td>
<td valign="top" align="center">&#x02212;9.94</td>
<td valign="top" align="center">&#x02212;18.75</td>
</tr>
<tr>
<td valign="top" align="left">C01261/HMDB01340</td>
<td valign="top" align="left">P1,P4-Bis(5&#x02032;-guanosyl) tetraphosphate (GppppG)</td>
<td valign="top" align="left">(5&#x02032;-&#x0003E;5&#x02032;)- dinucleotides</td>
<td valign="top" align="left">Purine metabolism</td>
<td valign="top" align="left">869.0477</td>
<td valign="top" align="center">14.65</td>
<td valign="top" align="center">&#x02212;13.65</td>
<td valign="top" align="center">&#x02212;6.68</td>
<td valign="top" align="center">&#x02212;11.45</td>
</tr>
<tr>
<td valign="top" align="left">C00366/HMDB00289</td>
<td valign="top" align="left">Uric acid</td>
<td valign="top" align="left">Alkaloids and derivatives</td>
<td valign="top" align="left">Purine metabolism</td>
<td valign="top" align="left">167.0212</td>
<td valign="top" align="center">0.59</td>
<td valign="top" align="center">&#x0002B;3.56</td>
<td valign="top" align="center">&#x0002B;1.92</td>
<td valign="top" align="center">&#x02212;17.50</td>
</tr>
<tr>
<td valign="top" align="left">C02067/HMDB00767</td>
<td valign="top" align="left">Pseudouridine</td>
<td valign="top" align="left">Nucleoside and nucleotide analogs</td>
<td valign="top" align="left">Pyrimidine metabolism</td>
<td valign="top" align="left">243.0624</td>
<td valign="top" align="center">0.76</td>
<td valign="top" align="center">&#x0002B;3.00</td>
<td valign="top" align="center">&#x0002B;1.64</td>
<td valign="top" align="center">&#x0002B;1.64</td>
</tr>
<tr>
<td valign="top" align="left">C05983/HMDB06806</td>
<td valign="top" align="left">Propinol adenylate</td>
<td valign="top" align="left">Purine nucleotides</td>
<td valign="top" align="left">Propanoate metabolism</td>
<td valign="top" align="left">426.0801</td>
<td valign="top" align="center">0.62</td>
<td valign="top" align="center">&#x02212;1.85</td>
<td valign="top" align="center">&#x02212;12.52</td>
<td valign="top" align="center">&#x02212;17.24</td>
</tr>
<tr>
<td valign="top" align="left">C02199/HMDB12305</td>
<td valign="top" align="left">UDP-L-rhamnose</td>
<td valign="top" align="left">Pyrimidine nucleotides</td>
<td valign="top" align="left">Amino sugar and nucleotide sugar metabolism</td>
<td valign="top" align="left">573.0505</td>
<td valign="top" align="center">0.69</td>
<td valign="top" align="center">&#x02212;14.98</td>
<td valign="top" align="center">&#x02212;14.98</td>
<td valign="top" align="center">&#x02212;14.98</td>
</tr>
<tr>
<td valign="top" align="left">C19972</td>
<td valign="top" align="left">2,4-Bis(acetamido)-2,4,6-trideoxy-beta- L-altropyranose</td>
<td valign="top" align="left">&#x02212;</td>
<td valign="top" align="left">Amino sugar and nucleotide sugar metabolism</td>
<td valign="top" align="left">247.1287</td>
<td valign="top" align="center">2.33</td>
<td valign="top" align="center">&#x02212;6.10</td>
<td valign="top" align="center">&#x02212;2.55</td>
<td valign="top" align="center">&#x02212;15.88</td>
</tr>
<tr>
<td valign="top" align="left">C00158/HMDB00094</td>
<td valign="top" align="left">Citric acid</td>
<td valign="top" align="left">Carboxylic acids and derivatives</td>
<td valign="top" align="left">Tricarboxylic acid cycle (TCA)</td>
<td valign="top" align="left">215.0154</td>
<td valign="top" align="center">0.71</td>
<td valign="top" align="center">&#x0002B;4.41</td>
<td valign="top" align="center">&#x02212;3.21</td>
<td valign="top" align="center">&#x02212;8.38</td>
</tr>
<tr>
<td valign="top" align="left">C02237/HMDB00805</td>
<td valign="top" align="left">R-(&#x0002B;)-Pyrrolidone-5-carboxylic acid</td>
<td valign="top" align="left">Carboxylic acids and derivatives</td>
<td valign="top" align="left">D-glutamine and D-glutamate metabolism</td>
<td valign="top" align="left">130.0496</td>
<td valign="top" align="center">6.13</td>
<td valign="top" align="center">&#x0002B;3.74</td>
<td valign="top" align="center">&#x02212;14.97</td>
<td valign="top" align="center">&#x02212;14.97</td>
</tr>
<tr>
<td valign="top" align="left">C11684</td>
<td valign="top" align="left">MET-Enkephalin</td>
<td valign="top" align="left">Carboxylic acids and derivatives</td>
<td valign="top" align="left">Neuroactive ligand-receptor interaction</td>
<td valign="top" align="left">591.2605</td>
<td valign="top" align="center">16.84</td>
<td valign="top" align="center">&#x02212;6.63</td>
<td valign="top" align="center">&#x0002B;4.61</td>
<td valign="top" align="center">&#x02212;4.97</td>
</tr>
<tr>
<td valign="top" align="left">C04462/HMDB12266</td>
<td valign="top" align="left">N-Succinyl-2-amino-6- ketopimelate</td>
<td valign="top" align="left">Carboxylic acids and derivatives</td>
<td valign="top" align="left">Lysine biosynthesis</td>
<td valign="top" align="left">285.1320</td>
<td valign="top" align="center">7.80</td>
<td valign="top" align="center">&#x0002B;2.53</td>
<td valign="top" align="center">&#x02212;5.42</td>
<td valign="top" align="center">&#x02212;12.29</td>
</tr>
<tr>
<td valign="top" align="left">C04148/HMDB06344</td>
<td valign="top" align="left">Alpha-N-Phenylacetyl-L-glutamine</td>
<td valign="top" align="left">Carboxylic acids and derivatives</td>
<td valign="top" align="left">Phenylalanine metabolism</td>
<td valign="top" align="left">265.1183</td>
<td valign="top" align="center">6.12</td>
<td valign="top" align="center">&#x0002B;1.65</td>
<td valign="top" align="center">&#x0002B;11.41</td>
<td valign="top" align="center">&#x02212;12.21</td>
</tr>
<tr>
<td valign="top" align="left">C11588</td>
<td valign="top" align="left">cis-3-(Carboxy-ethyl)-3,5-cyclo-hexadiene-1,2-diol</td>
<td valign="top" align="left">Carboxylic acids and derivatives</td>
<td valign="top" align="left">Phenylalanine metabolism</td>
<td valign="top" align="left">183.0670</td>
<td valign="top" align="center">1.11</td>
<td valign="top" align="center">&#x0002B;22.34</td>
<td valign="top" align="center">&#x0002B;4.13</td>
<td valign="top" align="center">&#x02212;1.87</td>
</tr>
<tr>
<td valign="top" align="left">C00746/HMDB02865</td>
<td valign="top" align="left">Oxytocin</td>
<td valign="top" align="left">Carboxylic acids and derivatives</td>
<td valign="top" align="left">cAMP signaling pathway</td>
<td valign="top" align="left">521.2544</td>
<td valign="top" align="center">7.79</td>
<td valign="top" align="center">&#x0002B;8.94</td>
<td valign="top" align="center">&#x0002B;16.89</td>
<td valign="top" align="center">&#x0002B;1.99</td>
</tr>
<tr>
<td valign="top" align="left">C03413/HMDB02172</td>
<td valign="top" align="left">N1,N12-Diacetylspermine</td>
<td valign="top" align="left">Carboxylic acids and derivatives</td>
<td valign="top" align="left">Polyamine metabolism</td>
<td valign="top" align="left">309.2256</td>
<td valign="top" align="center">9.80</td>
<td valign="top" align="center">&#x0002B;4.63</td>
<td valign="top" align="center">&#x0002B;16.58</td>
<td valign="top" align="center">&#x02212;</td>
</tr>
<tr>
<td valign="top" align="left">C00016/HMDB01248</td>
<td valign="top" align="left">Flavin adenine dinucleotide (FAD)</td>
<td valign="top" align="left">Flavin nucleotides</td>
<td valign="top" align="center">&#x02212;</td>
<td valign="top" align="center">786.1643</td>
<td valign="top" align="center">6.36</td>
<td valign="top" align="center">&#x0002B;2.04</td>
<td valign="top" align="center">&#x02212;9.58</td>
<td valign="top" align="center">&#x02212;9.58</td>
</tr>
<tr>
<td valign="top" align="left">HMDB11612</td>
<td valign="top" align="left">6-Hydroxy Flavin adenine dinucleotide</td>
<td valign="top" align="left">Flavin nucleotides</td>
<td valign="top" align="center">&#x02212;</td>
<td valign="top" align="center">819.1830</td>
<td valign="top" align="center">9.30</td>
<td valign="top" align="center">&#x0002B;1.34</td>
<td valign="top" align="center">&#x02212;1.75</td>
<td valign="top" align="center">&#x02212;7.44</td>
</tr>
<tr>
<td valign="top" align="left">C00194/HMDB02086</td>
<td valign="top" align="left">Adenosylcobalamin</td>
<td valign="top" align="left">&#x02212;</td>
<td valign="top" align="left">Porphyrin and chlorophyll metabolism Riboflavin metabolism</td>
<td valign="top" align="left">693.3397</td>
<td valign="top" align="center">18.96</td>
<td valign="top" align="center">&#x02212;18.21</td>
<td valign="top" align="center">&#x02212;18.21</td>
<td valign="top" align="center">&#x02212;18.21</td>
</tr>
<tr>
<td valign="top" align="left">C03262/HMDB01261</td>
<td valign="top" align="left">Coproporphyrinogen III</td>
<td valign="top" align="left">Tetrapyrroles and derivatives</td>
<td valign="top" align="left">Porphyrin and chlorophyll metabolism Heme biosynthesis</td>
<td valign="top" align="left">329.1504</td>
<td valign="top" align="center">1.19</td>
<td valign="top" align="center">&#x0002B;2.57</td>
<td valign="top" align="center">&#x0002B;2.23</td>
<td valign="top" align="center">&#x02212;11.87</td>
</tr>
<tr>
<td valign="top" align="left">C02191/HMDB00241</td>
<td valign="top" align="left">Protoporphyrin IX</td>
<td valign="top" align="left">Tetrapyrroles and derivatives</td>
<td valign="top" align="left">Porphyrin and chlorophyll metabolism Heme biosynthesis</td>
<td valign="top" align="left">580.2920</td>
<td valign="top" align="center">17.64</td>
<td valign="top" align="center">&#x0002B;1.31</td>
<td valign="top" align="center">&#x0002B;5.32</td>
<td valign="top" align="center">&#x02212;6.3</td>
</tr>
<tr>
<td valign="top" align="left">HMDB00668</td>
<td valign="top" align="left">Hematoporphyrin</td>
<td valign="top" align="left">Tetrapyrroles and derivatives</td>
<td valign="top" align="left">Porphyrin and chlorophyll metabolism Heme biosynthesis</td>
<td valign="top" align="left">599.2856</td>
<td valign="top" align="center">12.36</td>
<td valign="top" align="center">&#x0002B;3.58</td>
<td valign="top" align="center">&#x02212;5.65</td>
<td valign="top" align="center">&#x02212;9.73</td>
</tr>
<tr>
<td valign="top" align="left">HMDB00683</td>
<td valign="top" align="left">Harderoporphyrin</td>
<td valign="top" align="left">Tetrapyrroles and derivatives</td>
<td valign="top" align="left">Porphyrin and chlorophyll metabolism Heme biosynthesis</td>
<td valign="top" align="left">626.2958</td>
<td valign="top" align="center">19.40</td>
<td valign="top" align="center">&#x02212;6.89</td>
<td valign="top" align="center">&#x0002B;5.69</td>
<td valign="top" align="center">&#x02212;3.25</td>
</tr>
<tr>
<td valign="top" align="left">C00500/HMDB02309</td>
<td valign="top" align="left">Biliverdin IX</td>
<td valign="top" align="left">Tetrapyrroles and derivatives</td>
<td valign="top" align="left">Porphyrin and chlorophyll metabolism</td>
<td valign="top" align="left">583.2551</td>
<td valign="top" align="center">14.19</td>
<td valign="top" align="center">&#x0002B;1.94</td>
<td valign="top" align="center">&#x02212;2.85</td>
<td valign="top" align="center">&#x02212;10.57</td>
</tr>
<tr>
<td valign="top" align="left">C05793/HMDB04159</td>
<td valign="top" align="left">L-Urobilin</td>
<td valign="top" align="left">Tetrapyrroles and derivatives</td>
<td valign="top" align="left">Porphyrin and chlorophyll metabolism: Bilirubin degradation</td>
<td valign="top" align="left">595.3480</td>
<td valign="top" align="center">14.93</td>
<td valign="top" align="center">&#x0002B;10.82</td>
<td valign="top" align="center">&#x02212;3.16</td>
<td valign="top" align="center">&#x02212;4.68</td>
</tr>
<tr>
<td valign="top" align="left">C05794/HMDB04160</td>
<td valign="top" align="left">I-Urobilin</td>
<td valign="top" align="left">Tetrapyrroles and derivatives</td>
<td valign="top" align="left">Porphyrin and chlorophyll metabolism: Bilirubin degradation</td>
<td valign="top" align="left">591.3163</td>
<td valign="top" align="center">15.08</td>
<td valign="top" align="center">&#x02212;0.85</td>
<td valign="top" align="center">&#x02212;12.83</td>
<td valign="top" align="center">&#x02212;14.40</td>
</tr>
<tr>
<td valign="top" align="left">C05790/HMDB01898</td>
<td valign="top" align="left">Mesobilirubinogen</td>
<td valign="top" align="left">Tetrapyrroles and derivatives</td>
<td valign="top" align="left">Porphyrin and chlorophyll metabolism: Bilirubin degradation</td>
<td valign="top" align="left">615.3149</td>
<td valign="top" align="center">15.05</td>
<td valign="top" align="center">&#x0002B;3.64</td>
<td valign="top" align="center">&#x02212;9.60</td>
<td valign="top" align="center">&#x02212;9.60</td>
</tr>
<tr>
<td valign="top" align="left">C05789/HMDB04157</td>
<td valign="top" align="left">L-Urobilinogen</td>
<td valign="top" align="left">Tetrapyrroles and derivatives</td>
<td valign="top" align="left">Porphyrin and chlorophyll metabolism: Bilirubin degradation</td>
<td valign="top" align="left">597.3633</td>
<td valign="top" align="center">12.72</td>
<td valign="top" align="center">&#x02212;6.60</td>
<td valign="top" align="center">&#x02212;4.69</td>
<td valign="top" align="center">&#x02212;8.13</td>
</tr>
<tr>
<td valign="top" align="left">C18170/HMDB12880</td>
<td valign="top" align="left">3-Acetamidopropanal</td>
<td valign="top" align="left">Carbonyl compounds</td>
<td valign="top" align="left">Spermine and spermidine degradation Polyamine metabolism</td>
<td valign="top" align="left">114.0562</td>
<td valign="top" align="center">0.51</td>
<td valign="top" align="center">&#x0002B;3.57</td>
<td valign="top" align="center">&#x0002B;3.27</td>
<td valign="top" align="center">&#x02212;13.06</td>
</tr>
<tr>
<td valign="top" align="left">C00873/HMDB61196</td>
<td valign="top" align="left">Angiotensin I</td>
<td valign="top" align="left">Polypeptides</td>
<td valign="top" align="left">Renin-angiotensin system</td>
<td valign="top" align="left">1318.6613</td>
<td valign="top" align="center">22.50</td>
<td valign="top" align="center">&#x0002B;17.68</td>
<td valign="top" align="center">&#x0002B;14.72</td>
<td valign="top" align="center">&#x0002B;11.76</td>
</tr>
<tr>
<td valign="top" align="left">C17935</td>
<td valign="top" align="left">Cysteinyldopa</td>
<td valign="top" align="left">&#x02212;</td>
<td valign="top" align="left">Tyrosine metabolism</td>
<td valign="top" align="left">317.0817</td>
<td valign="top" align="center">0.67</td>
<td valign="top" align="center">&#x0002B;6.54</td>
<td valign="top" align="center">&#x0002B;8.32</td>
<td valign="top" align="center">&#x02212;8.28</td>
</tr>
<tr>
<td valign="top" align="left">C17240</td>
<td valign="top" align="left">p-Hydroxybenzyl-desulphoglucosinolate</td>
<td valign="top" align="left">&#x02212;</td>
<td valign="top" align="left">Glucosinolate biosynthesis 2-Oxocarboxylic acid metabolism</td>
<td valign="top" align="left">346.0939</td>
<td valign="top" align="center">1.20</td>
<td valign="top" align="center">&#x02212;2.41</td>
<td valign="top" align="center">&#x0002B;1.35</td>
<td valign="top" align="center">&#x02212;14.42</td>
</tr>
<tr>
<td valign="top" align="left">C06428/HMDB01999/LMFA01030761</td>
<td valign="top" align="left">Eicosapentaenoic acid [EPA (d5)]</td>
<td valign="top" align="left">Fatty acyls</td>
<td valign="top" align="left">Biosynthesis of unsaturated fatty acids</td>
<td valign="top" align="left">330.2456</td>
<td valign="top" align="center">15.55</td>
<td valign="top" align="center">&#x02212;7.59</td>
<td valign="top" align="center">&#x02212;8.13</td>
<td valign="top" align="center">&#x02212;15.94</td>
</tr>
<tr>
<td valign="top" align="left">C16531</td>
<td valign="top" align="left">Docosenoyl-CoA</td>
<td valign="top" align="left">Fatty acyls</td>
<td valign="top" align="left">Biosynthesis of unsaturated fatty acids</td>
<td valign="top" align="left">1088.4354</td>
<td valign="top" align="center">14.69</td>
<td valign="top" align="center">&#x02212;3.94</td>
<td valign="top" align="center">&#x02212;11.05</td>
<td valign="top" align="center">&#x02212;10.94</td>
</tr>
<tr>
<td valign="top" align="left">C02939/HMDB01113</td>
<td valign="top" align="left">Isovaleryl-CoA</td>
<td valign="top" align="left">Fatty acyls</td>
<td valign="top" align="left">Valine, leucine and isoleucine degradation</td>
<td valign="top" align="left">874.1622</td>
<td valign="top" align="center">0.63</td>
<td valign="top" align="center">&#x02212;10.55</td>
<td valign="top" align="center">&#x0002B;5.22</td>
<td valign="top" align="center">&#x02212;14.14</td>
</tr>
<tr>
<td valign="top" align="left">C14827/LMFA02000012</td>
<td valign="top" align="left">9(S)-HpODE</td>
<td valign="top" align="left">Fatty acyls</td>
<td valign="top" align="left">Linoleic acid metabolism</td>
<td valign="top" align="left">311.2229</td>
<td valign="top" align="center">16.66</td>
<td valign="top" align="center">&#x0002B;4.12</td>
<td valign="top" align="center">&#x0002B;10.26</td>
<td valign="top" align="center">&#x02212;8.32</td>
</tr>
<tr>
<td valign="top" align="left">C04717/LMFA02000034</td>
<td valign="top" align="left">13(S)-HpODE</td>
<td valign="top" align="left">Fatty acyls</td>
<td valign="top" align="left">Linoleic acid metabolism</td>
<td valign="top" align="left">335.2206</td>
<td valign="top" align="center">13.73</td>
<td valign="top" align="center">&#x0002B;1.52</td>
<td valign="top" align="center">&#x02212;3.24</td>
<td valign="top" align="center">&#x0002B;2.96</td>
</tr>
<tr>
<td valign="top" align="left">C16318/LMFA02020016</td>
<td valign="top" align="left">methyl (&#x0002B;)-7-isojasmonate</td>
<td valign="top" align="left">Fatty acyls</td>
<td valign="top" align="left">alpha-Linoleic acid metabolism</td>
<td valign="top" align="left">223.1337</td>
<td valign="top" align="center">15.58</td>
<td valign="top" align="center">&#x0002B;1.89</td>
<td valign="top" align="center">&#x0002B;5.78</td>
<td valign="top" align="center">-8.27</td>
</tr>
<tr>
<td valign="top" align="left">C05984/HMDB00008</td>
<td valign="top" align="left">DL-a-Hydroxybutyric acid</td>
<td valign="top" align="left">Fatty acyls</td>
<td valign="top" align="left">Propanoate metabolism</td>
<td valign="top" align="left">103.0403</td>
<td valign="top" align="center">0.61</td>
<td valign="top" align="center">&#x0002B;0.57</td>
<td valign="top" align="center">&#x02212;0.26</td>
<td valign="top" align="center">&#x02212;19.02</td>
</tr>
<tr>
<td valign="top" align="left">C01120/HMDB01383/LMSP01050002</td>
<td valign="top" align="left">Sphinganine 1-phosphate</td>
<td valign="top" align="left">Sphingolipids</td>
<td valign="top" align="left">Sphingolipid metabolism</td>
<td valign="top" align="left">382.2716</td>
<td valign="top" align="center">16.16</td>
<td valign="top" align="center">&#x02212;10.38</td>
<td valign="top" align="center">&#x02212;17.50</td>
<td valign="top" align="center">&#x02212;17.50</td>
</tr>
<tr>
<td valign="top" align="left">C06124/LMSP01050001</td>
<td valign="top" align="left">Sphingosine-1-phosphate</td>
<td valign="top" align="left">Sphingolipids</td>
<td valign="top" align="left">Sphingolipid metabolism</td>
<td valign="top" align="left">378.2405</td>
<td valign="top" align="center">15.51</td>
<td valign="top" align="center">&#x02212;14.12</td>
<td valign="top" align="center">&#x02212;14.13</td>
<td valign="top" align="center">&#x02212;2.72</td>
</tr>
<tr>
<td valign="top" align="left">C12144/HMDB04610/LMSP01030001</td>
<td valign="top" align="left">Phytosphingosine</td>
<td valign="top" align="left">Sphingolipids</td>
<td valign="top" align="left">Sphingolipid metabolism</td>
<td valign="top" align="left">318.3004</td>
<td valign="top" align="center">13.94</td>
<td valign="top" align="center">&#x02212;5.91</td>
<td valign="top" align="center">&#x02212;12.93</td>
<td valign="top" align="center">&#x02212;17.48</td>
</tr>
<tr>
<td valign="top" align="left">C03033/HMDB10320</td>
<td valign="top" align="left">Cortolone-3-glucuronide</td>
<td valign="top" align="left">Sterol lipids</td>
<td valign="top" align="left">Estrogen metabolism</td>
<td valign="top" align="left">543.2802</td>
<td valign="top" align="center">10.63</td>
<td valign="top" align="center">&#x0002B;3.49</td>
<td valign="top" align="center">&#x0002B;2.33</td>
<td valign="top" align="center">&#x02212;10.54</td>
</tr>
<tr>
<td valign="top" align="left">C05464/HMDB00631</td>
<td valign="top" align="left">Glycodeoxycholate</td>
<td valign="top" align="left">Sterol lipids</td>
<td valign="top" align="left">Secondary bile acid biosynthesis</td>
<td valign="top" align="left">450.3207</td>
<td valign="top" align="center">14.86</td>
<td valign="top" align="center">&#x0002B;4.81</td>
<td valign="top" align="center">&#x02212;4.45</td>
<td valign="top" align="center">&#x02212;2.52</td>
</tr>
<tr>
<td valign="top" align="left">C05122/HMDB00036/LMST05040001</td>
<td valign="top" align="left">Taurocholic acid</td>
<td valign="top" align="left">Sterol lipids</td>
<td valign="top" align="left">Primary and Secondary bile acid biosynthesis</td>
<td valign="top" align="left">533.3256</td>
<td valign="top" align="center">12.03</td>
<td valign="top" align="center">&#x0002B;7.73</td>
<td valign="top" align="center">&#x0002B;8.27</td>
<td valign="top" align="center">&#x02212;1.35</td>
</tr>
<tr>
<td valign="top" align="left">C05465/HMDB00951/LMST05040005</td>
<td valign="top" align="left">Taurochenodeoxycholic acid</td>
<td valign="top" align="left">Sterol lipids</td>
<td valign="top" align="left">Primary and Secondary bile acid biosynthesis</td>
<td valign="top" align="left">500.3040</td>
<td valign="top" align="center">13.60</td>
<td valign="top" align="center">&#x0002B;2.64</td>
<td valign="top" align="center">&#x0002B;2.92</td>
<td valign="top" align="center">&#x02212;3.82</td>
</tr>
<tr>
<td valign="top" align="left">C03033/HMDB02579/LMST05010048</td>
<td valign="top" align="left">Glycochenodeoxycholic acid 3-glucuronide</td>
<td valign="top" align="left">Sterol lipids</td>
<td valign="top" align="left">Pentose and glucoronate interconversions Starch and sucrose metabolism Bile secretion</td>
<td valign="top" align="left">626.3539</td>
<td valign="top" align="center">12.97</td>
<td valign="top" align="center">&#x02212;5.68</td>
<td valign="top" align="center">&#x02212;17.01</td>
<td valign="top" align="center">&#x02212;17.01</td>
</tr>
<tr>
<td valign="top" align="left">C03033/HMDB10351</td>
<td valign="top" align="left">11-beta-hydroxyandrosterone-3-glucuronide</td>
<td valign="top" align="left">Sterol lipids</td>
<td valign="top" align="left">Pentose and glucoronate interconversions Starch and sucrose metabolism Bile secretion</td>
<td valign="top" align="left">481.2431</td>
<td valign="top" align="center">9.22</td>
<td valign="top" align="center">&#x0002B;4.18</td>
<td valign="top" align="center">&#x0002B;3.50</td>
<td valign="top" align="center">&#x02212;11.59</td>
</tr>
<tr>
<td valign="top" align="left">C03033/HMDB10357</td>
<td valign="top" align="left">Tetrahydroaldosterone-3-glucuronide</td>
<td valign="top" align="left">Sterol lipids</td>
<td valign="top" align="left">Pentose and glucoronate interconversions</td>
<td valign="top" align="left">558.2907</td>
<td valign="top" align="center">13.37</td>
<td valign="top" align="center">&#x0002B;6.04</td>
<td valign="top" align="center">&#x02212;7.40</td>
<td valign="top" align="center">&#x02212;11.88</td>
</tr>
<tr>
<td/>
<td/>
<td/>
<td valign="top" align="left">Starch and sucrose metabolism</td>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td/>
<td/>
<td/>
<td valign="top" align="left">Bile secretion</td>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">C03642/HMDB02580/LMST05020003</td>
<td valign="top" align="left">Taurolithocholic acid 3-sulfate</td>
<td valign="top" align="left">Sterol lipids</td>
<td valign="top" align="left">Bile secretion</td>
<td valign="top" align="left">562.2492</td>
<td valign="top" align="center">11.66</td>
<td valign="top" align="center">&#x0002B;0.53</td>
<td valign="top" align="center">&#x02212;14.56</td>
<td valign="top" align="center">&#x02212;14.56</td>
</tr>
<tr>
<td valign="top" align="left">C05300/HMDB00335/LMST02010041</td>
<td valign="top" align="left">16alpha-Hydroxyestrone</td>
<td valign="top" align="left">Sterol lipids</td>
<td valign="top" align="left">Steroid hormone biosynthesis</td>
<td valign="top" align="left">287.1655</td>
<td valign="top" align="center">12.57</td>
<td valign="top" align="center">&#x02212;6.01</td>
<td valign="top" align="center">&#x02212;6.01</td>
<td valign="top" align="center">&#x02212;6.01</td>
</tr>
<tr>
<td valign="top" align="left">C11136/LMST05010014</td>
<td valign="top" align="left">Etiocholan-3&#x003B1;-ol-17-one 3-glucuronide</td>
<td valign="top" align="left">Sterol lipids</td>
<td valign="top" align="left">Steroid hormone biosynthesis</td>
<td valign="top" align="left">465.2477</td>
<td valign="top" align="center">11.09</td>
<td valign="top" align="center">&#x0002B;2.20</td>
<td valign="top" align="center">&#x02212;3.61</td>
<td valign="top" align="center">&#x02212;14.8</td>
</tr>
<tr>
<td valign="top" align="left">C18043/HMDB00653/LMST05020016</td>
<td valign="top" align="left">Cholesterol sulfate</td>
<td valign="top" align="left">Sterol lipids</td>
<td valign="top" align="left">Steroid hormone biosynthesis</td>
<td valign="top" align="left">465.3037</td>
<td valign="top" align="center">21.47</td>
<td valign="top" align="center">&#x02212;8.71</td>
<td valign="top" align="center">&#x0002B;1.65</td>
<td valign="top" align="center">&#x02212;4.43</td>
</tr>
<tr>
<td valign="top" align="left">C18044/HMDB00774/LMST05020014</td>
<td valign="top" align="left">Pregnenolone sulfate</td>
<td valign="top" align="left">Sterol lipids</td>
<td valign="top" align="left">Steroid hormone biosynthesis</td>
<td valign="top" align="left">395.1891</td>
<td valign="top" align="center">13.20</td>
<td valign="top" align="center">&#x02212;1.32</td>
<td valign="top" align="center">&#x0002B;12.43</td>
<td valign="top" align="center">&#x02212;1.32</td>
</tr>
<tr>
<td valign="top" align="left">C05473/LMST02030187</td>
<td valign="top" align="left">11b,21-Dihydroxy-3,20-oxo-5b-pregnan-18-al</td>
<td valign="top" align="left">Sterol lipids</td>
<td valign="top" align="left">Steroid hormone biosynthesis</td>
<td valign="top" align="left">363.2171</td>
<td valign="top" align="center">11.08</td>
<td valign="top" align="center">&#x02212;5.78</td>
<td valign="top" align="center">&#x02212;9.27</td>
<td valign="top" align="center">&#x02212;8.89</td>
</tr>
<tr>
<td valign="top" align="left">C05471/HMDB03259/LMST02030204</td>
<td valign="top" align="left">Dihydrocortisol</td>
<td valign="top" align="left">Sterol lipids</td>
<td valign="top" align="left">Steroid hormone biosynthesis</td>
<td valign="top" align="left">365.2318</td>
<td valign="top" align="center">10.68</td>
<td valign="top" align="center">&#x0002B;0.83</td>
<td valign="top" align="center">&#x0002B;2.46</td>
<td valign="top" align="center">&#x02212;6.44</td>
</tr>
<tr>
<td valign="top" align="left">C05683/</td>
<td valign="top" align="left">2-Aminoethylphosphocholate</td>
<td valign="top" align="left">Sterol lipids</td>
<td valign="top" align="left">Phosphonate and phosphinate metabolism</td>
<td valign="top" align="left">516.3065</td>
<td valign="top" align="center">17.26</td>
<td valign="top" align="center">&#x0002B;4.70</td>
<td valign="top" align="center">&#x0002B;16.68</td>
<td valign="top" align="center">&#x02212;</td>
</tr>
<tr>
<td valign="top" align="left">C03428/HMDB01278/LMPR0106010003</td>
<td valign="top" align="left">Presqualene diphosphate</td>
<td valign="top" align="left">Prenol lipids</td>
<td valign="top" align="left">Cholesterol biosynthesis</td>
<td valign="top" align="left">604.3531</td>
<td valign="top" align="center">8.34</td>
<td valign="top" align="center">&#x0002B;7.97</td>
<td valign="top" align="center">&#x0002B;8.54</td>
<td valign="top" align="center">&#x0002B;3.66</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="TN2">
<label>a</label>
<p><italic>Expression level indicates log<sub>2</sub> fold change (FC). &#x0002B; indicates up-regulated in post-eradication group; &#x02212; indicates down-regulated in post-eradication group</italic>.</p></fn>
</table-wrap-foot>
</table-wrap>
<p>When plasma metabolome from Baseline was compared with post-<italic>H. pylori</italic> eradication groups, a number of fatty acids and sphingolipids involved in biosynthesis of unsaturated fatty acids and sphingolipid metabolism respectively were down- regulated post-<italic>H. pylori</italic> eradication. Two metabolites, melatonin and 5-Hydroxytryptophan, which are involved in the melatonin biosynthesis were also found to be down-regulated in post-<italic>H. pylori</italic> eradication groups. Also, propinol adenylate (propanoate metabolism), adenosylcobalamin (riboflavin metabolism) as well as UDP L-rhamnose, and 2,4-Bis(acetamido)-2,4,6-trideoxy-beta-L-altropyranose (amino sugar and nucleotide sugar metabolism) were also down-regulated in post-<italic>H. pylori</italic> eradication groups. Conversely, pseudouridine, oxytocin, angiotensin I, and prequalene diphosphate, involved in pyrimidine metabolism, cAMP signaling pathway, renin-angiotensin system, and cholesterol biosynthesis respectively, were found to be up-regulated following <italic>H. pylori</italic> eradication. Taurocholic acid and taurochenodeoxycholic acid which are involved in primary bile acid biosynthesis were up-regulated at 6 and 12 months-post eradication but they were down-regulated at 18 months-post eradication. Interestingly, there were five metabolites that belong to the class of tetrapyrroles and derivatives which are involved in bilirubin degradation down-regulated at the 12 and 18 months-post <italic>H. pylori</italic> eradication. Besides, four porphyrins which also belong to the class of tetrapyrroles and derivatives that involved in heme biosynthesis were also found to be down-regulated at 18 months post-eradication. Metabolites involved in tricarboxylic acid cycle (TCA), citric acid and flavin adenine dinucleotide (FAD), were found to be up-regulated 6 months post-eradication but they were down-regulated at 12 and 18 months post-eradication. N1,N12-Diacetylspermine and 3-Acetamidopropanal are intermediates that involved in polyamine metabolism. Both of these metabolites were up-regulated at 6 and 12 months post-<italic>H. pylori</italic> eradication. At 18 months post-eradication, N1,N12-Diacetylspermine remained unchanged but 3-Acetamidopropanal was found to be down-regulated (Table <xref ref-type="table" rid="T2">2</xref>).</p>
</sec>
</sec>
<sec id="s4">
<title>Discussions</title>
<sec>
<title>Biological significance of the fecal lipidomics analysis</title>
<p>Fecal lipidomics analysis allows us to assess the human GI functions broadly and non-invasively and hence, it should reflect the GI health and functions (Gregory et al., <xref ref-type="bibr" rid="B33">2013</xref>). Lipids are essential to intestinal biology as it is more stable than various metabolites, and more conserved across microbiota (Gregory et al., <xref ref-type="bibr" rid="B33">2013</xref>). A series of lipids, which could elucidate the local effects of <italic>H. pylori</italic> eradication on the gut microbiota and modulation of energy were identified.</p>
<p>The endocannabinoid system is a vital endogenous signaling system that comprises of the cannabinoid receptors, their endogenous ligands (the endocannabinoids), and the enzymes catalyzing anabolism and catabolism of endocannabinoid (Di Marzo et al., <xref ref-type="bibr" rid="B22">2004</xref>). This system is recognized to be involved in a extensive range of physiological functions and pathophysiological conditions (Engeli et al., <xref ref-type="bibr" rid="B28">2005</xref>; Pacher et al., <xref ref-type="bibr" rid="B64">2006</xref>; Di Marzo, <xref ref-type="bibr" rid="B21">2008</xref>; Engeli, <xref ref-type="bibr" rid="B27">2008</xref>; Pataky et al., <xref ref-type="bibr" rid="B65">2013</xref>). Obesity is characterized by altered gut microbiota, low grade inflammation and dysregulation of endocannabinoid system, in majority of the cases overactive of the system (Muccioli et al., <xref ref-type="bibr" rid="B56">2010</xref>; Geurts et al., <xref ref-type="bibr" rid="B32">2011</xref>). In this study, Anandamide 0-phosphate was found to be up-regulated at 6 and 12 months following <italic>H. pylori</italic> eradication but it was then down-regulated at 18 months post-eradication. Anandamide 0-phosphate is one of the intermediates in the biosynthesis of anandamine (KEGG: map04723). Anandamide (also known as <italic>N</italic>-arachidonoylethanolamine or AEA) is an endocannabinoid that is synthesized from N-arachidonoyl phosphatidylethanolamine (NAPE) by numerous pathways or alternatively, it can also be synthesized from free arachidonic acid and ethanolamine by the reversal action of a fatty acid amide hydrolase (FAAH) (Sugiura, <xref ref-type="bibr" rid="B81">2008</xref>; Wang and Ueda, <xref ref-type="bibr" rid="B89">2009</xref>). The marked changes in expression of Anandamide 0-phosphate could be linked with the perturbation of gut microbiota post-<italic>H. pylori</italic> eradication which in turn causes dysregulation of the endocannabinoid system and subsequently affect the regulation of energy metabolism and therefore, lead to the development of obesity.</p>
<p>Phytosphingosine, sphinganine and ceramide that are involved in sphingolipid metabolism (KEGG: map00600) were found to be changed significantly in this study. Ceramide is a main molecule in sphingolipid metabolism and a precursor of complex sphingolipids (Sugiura et al., <xref ref-type="bibr" rid="B80">2002</xref>; Hannun and Obeid, <xref ref-type="bibr" rid="B37">2008</xref>). Sphingolipids are important signal molecules that mediate several biological functions for instance cell proliferation, inflammation, and apoptosis (Futerman and Hannun, <xref ref-type="bibr" rid="B31">2004</xref>; Hannun and Obeid, <xref ref-type="bibr" rid="B37">2008</xref>; Morad and Cabot, <xref ref-type="bibr" rid="B55">2013</xref>). Phytosphingosine detected in fecal samples was down-regulated post-<italic>H. pylori</italic> eradication and we believe that it could be related to the reduced inflammation of the stomach lining after <italic>H. pylori</italic> eradication. On the contrary, sphinganine (also known as dihydrosphingosine) detected in the fecal samples was found to be up-regulated significantly 6 and 12 months post-eradication. The biological significance of this conflicting observation was unknown.</p>
<p>One of the most interesting findings of this study is Lipid A-disaccharide-1-P was significantly elevated 12 and 18 months post-<italic>H. pylori</italic> eradication. Lipid A, one of the three structural components of the lipopolysaccharide (LPS) causes the pathophysiological effects associated with Gram-negative bacteria infections (Lodowska et al., <xref ref-type="bibr" rid="B52">2007</xref>). Gram-negative bacteria such as <italic>Bacteroidetes</italic> and <italic>Proteobacteria</italic> (including <italic>H. pylori</italic>) are dominant microorganisms in the gut (Ley et al., <xref ref-type="bibr" rid="B50">2005</xref>; Yap et al., <xref ref-type="bibr" rid="B92">2016</xref>). The up-regulation of Lipid A 12 and 18 months post-<italic>H. pylori</italic> eradication could probably be associated with the perturbation of microbiota in the gut following <italic>H. pylori</italic> eradication. In our previous fecal metagenomics study, we found a transient loss of <italic>H. pylori</italic> instantaneously following <italic>H. pylori</italic> eradication but reappeared at 12&#x02013;18 months (Yap et al., <xref ref-type="bibr" rid="B92">2016</xref>). Due to the overlapping time points, it is likely that <italic>H. pylori</italic> employs the advantage of ecological niche to replicate intracellularly and survive the anti-bacterial treatment (Yap et al., <xref ref-type="bibr" rid="B92">2016</xref>). Nevertheless, we could not prove that the Lipid A was from <italic>H. pylori</italic>.</p>
<p>A <italic>Proteobacteria</italic> hopanoid named 32,35-anhydrobacteriohopaneterol (Talbot et al., <xref ref-type="bibr" rid="B84">2007</xref>) was found to be down-regulated at 18 months post-eradication. Hopanoids are bacterial pentacyclic triterpenoids that are analogous to eukaryotic steroids structurally and biosynthetically (Ourisson et al., <xref ref-type="bibr" rid="B63">1987</xref>; Doughty et al., <xref ref-type="bibr" rid="B23">2011</xref>; Welander et al., <xref ref-type="bibr" rid="B90">2012</xref>), but their cellular roles are poorly understood (Doughty et al., <xref ref-type="bibr" rid="B24">2014</xref>). Hopanoids may play a role in the alteration of cell membrane permeability in adaptation to extreme environmental conditions in many bacteria. They are formed in the aerial hyphae of the prokaryotic soil bacteria <italic>Streptomyces</italic> which is believed to minimize water evaporation across the membrane (Poralla et al., <xref ref-type="bibr" rid="B71">2000</xref>). In the actinomycete <italic>Frankia</italic>, the hopanoids in diazovesicle membranes probably restrict the entry of oxygen by building the lipid bilayer tighter and more compact (Berry et al., <xref ref-type="bibr" rid="B13">1993</xref>). The <italic>Proteobacteria</italic> in the gut including <italic>H. pylori</italic> may be expressing 32,35-anhydrobacteriohopaneterol to adapt the hostile environment in the gut. The perturbation of gut microbiota following <italic>H. pylori</italic> eradication therapy may be the reason of the reduced expression of this hopanoid.</p>
</sec>
<sec>
<title>Biological significance of the plasma metabolomics analysis</title>
<p>Plasma metabolites is an integrative biofluid that incorporates the functions and phenotypes of many different parts of body in one sample and hence provide an overview of &#x0201C;metabolic footprint&#x0201D; of many areas of metabolism in the human body (Dunn et al., <xref ref-type="bibr" rid="B26">2011</xref>). The identified potential small molecules detected cover the essential metabolic pathways, hence allowing the determination of key intermediates of heme biosynthesis and bilirubin degradation, amino acid metabolisms, lipid metabolism, and energy metabolism (tricarboxylic acid cycle). Numerous metabolites in the plasma were significantly changed following <italic>H. pylori</italic> eradication, with the majority being down-regulated in the post-<italic>H. pylori</italic> eradication groups. A sophisticated interaction of how the changes in the gut microbiota (local) after <italic>H. pylori</italic> eradication influence the systemic changes of a human body could be observed.</p>
</sec>
<sec>
<title>Altered energy metabolism and its association with metabolic disorders</title>
<p>Melatonin and 5-Hydroxytryptophan involved in melatonin biosynthesis were down-regulated following <italic>H. pylori</italic> eradication. Recent experimental evidence suggested that melatonin may influence food intake, energy expenditure, the accumulation of energy in adipose tissue, insulin secretion and glycemic control (Peschke et al., <xref ref-type="bibr" rid="B68">2006</xref>; Picinato et al., <xref ref-type="bibr" rid="B69">2008</xref>; Prokopenko et al., <xref ref-type="bibr" rid="B72">2009</xref>; Amaral et al., <xref ref-type="bibr" rid="B4">2014b</xref>). It has been proposed that the reduction in melatonin production may induce insulin resistance, glucose intolerance, sleep disturbance, and metabolic circadian disorganization characterizing a state of chrono-disruption leading to metabolic disorders such as obesity (Pulimeno et al., <xref ref-type="bibr" rid="B73">2013</xref>; Amaral et al., <xref ref-type="bibr" rid="B3">2014a</xref>; Cipolla-Neto et al., <xref ref-type="bibr" rid="B16">2014</xref>; Sharma et al., <xref ref-type="bibr" rid="B78">2015</xref>). Taken together, the down-regulation of 5-Hydroxytryptophan and melatonin in plasma post-<italic>H. pylori</italic> eradication may be associated with the protective effect of <italic>H. pylori</italic> against metabolic disorders.</p>
<p>6-phosphogluconic acid, in the pentose phosphate pathway, was elevated at 6 months post-eradication. This finding is in agreement with that of a previous study on hepatic gene expression whereby it was reported that the pentose phosphate pathway was up-regulated in obese patients with type 2 diabetes (Takamura et al., <xref ref-type="bibr" rid="B82">2008</xref>). An <italic>in vivo</italic> study also demonstrated significance increase of G6PD expression and activity, NADPH levels, and 6-phosphogluconic acid generation in the liver of adult male Zucker fa/fa rats, a prototype model of hyperglycemia and type 2 diabetes (Gupte et al., <xref ref-type="bibr" rid="B34">2009</xref>). Therefore, the elevation of 6-phosphogluconic acid at 6 months post-eradication could be a metabolic signature of metabolic disorders. However, it seems likely the expression of this metabolite was restored to Baseline level at 12 and 18 months post-eradication.</p>
<p>N-Methyl-4-pyridone-3-carboxamide is one of the end products of nicotinamide-adenine dinucleotide (NAD) degradation. This metabolite was initially up-regulated at 6 months post-eradication but it was down-regulated at 12 and 18 months post-eradication. NAD is one of the cofactors essential for redox reactions. NAD and NADP play pivotal roles in metabolic conversions as signal transducers and in cellular defense systems in which they participate as electron carriers in energy transduction and biosynthetic processes (Pollak et al., <xref ref-type="bibr" rid="B70">2007</xref>). This observation indicated that <italic>H. pylori</italic> eradication may affect the biosynthesis of NAD in nicotinate and nicotinamide metabolism and hence, it corroborated with our previous finding that <italic>H. pylori</italic> eradication may affect the regulation of energy metabolism in the human body (Yap et al., <xref ref-type="bibr" rid="B93">2015</xref>).</p>
<p>Citric acid and flavin adenine dinucleotide (FAD), an intermediate and a cofactor of the tricarboxylic acid cycle (TCA), were changed post-<italic>H. pylori</italic> eradication. In human beings, the TCA cycle together with oxidative phosphorylation, provides more than 95% of energy used by aerobic cells (Berg et al., <xref ref-type="bibr" rid="B12">2002</xref>). In addition, accumulating evidence has emphasized the vital roles of gut microbiota in energy harvest and metabolism in hosts (B&#x000E4;ckhed et al., <xref ref-type="bibr" rid="B9">2004</xref>; Musso et al., <xref ref-type="bibr" rid="B57">2010</xref>; Velagapudi et al., <xref ref-type="bibr" rid="B85">2010</xref>; Venema, <xref ref-type="bibr" rid="B86">2010</xref>), which are thought to be associated with various diseases such as obesity and diabetes. The down-regulation of these metabolites at 12 and 18 months post-eradication could probably reflect the long term effect of <italic>H. pylori</italic> eradication on regulation of energy metabolism in which the eradication of this bacterium causes the perturbations of the gut microflora and therefore, it affects regulation of energy metabolism and subsequently leads to development of metabolic disorders such as obesity. This result could be an example to demonstrate the role of gut bacteria on plasma metabolite profile.</p>
<p>N1,N12-diacetylspermine is an acetylated product of spermidine and spermine controlled by spermidine-spermineN1-acetyltransferase (SSAT) using acetyl-CoA as substrate. Polyamines (putrescine, spermine and spermidine) are organic polycations that are important for various cellular functions such as cell growth, cancer and aging of which its metabolism is tightly controlled (Pegg and Casero, <xref ref-type="bibr" rid="B67">2011</xref>). Both <italic>in vivo</italic> and <italic>in vitro</italic> studies have shown that polyamine pathway plays a major role in energy homeostasis (Jell et al., <xref ref-type="bibr" rid="B42">2007</xref>; Kraus et al., <xref ref-type="bibr" rid="B45">2014</xref>). The up-regulation of N1,N12-diacetylspermine at 6 and 12 months post-eradication but with no significant changes at 18 months-post eradication may indicate the dysregulation of polyamine metabolism which could be a potential predictive signature of metabolic disorders such as obesity.</p>
<p>Studies also showed that the increase in blood concentrations of selected essential amino acids and their derivatives, in particular, branched-chain amino acids (BCAA), aromatic amino acids (Adams, <xref ref-type="bibr" rid="B1">2011</xref>), and the decreases in the metabolism of essential fatty acids (linoleic and &#x003B1;-linoleic acids) and polyunsaturated fatty acids [such as eicosapentaenoic acid (EPA)] (Das, <xref ref-type="bibr" rid="B19">2006</xref>), are believed to play an important role in the pathophysiology of several diseases including obesity. Correspondingly, in this study, we found that a cofactor involved in the metabolism of BCAA, isovaleryl-CoA, as well as numerous small molecules involved in aromatic amino acid metabolisms (tryptophan, tyrosine and phenylalanine metabolisms) were perturbed following <italic>H. pylori</italic> eradication and these small molecules were all down-regulated at 18 months-post eradication. The decrease in the metabolisms of BCAA and aromatic amino acids following <italic>H. pylori</italic> eradication could indirectly lead to the accumulation of these amino acids in the blood. The intermediates involved in the essential fatty acid metabolisms (linoleic and &#x003B1;-linoleic acids metabolism) and the polyunsaturated fatty acid EPA were down-regulated at 18 months post-<italic>H. pylori</italic> eradication as well. Therefore, these dysregulated fatty acid and amino acid metabolisms may be associated with the future onset of metabolic disorders.</p>
<p>Following <italic>H. pylori</italic> eradication was the down-regulation of tetrapyrroles and derivatives that are involved in heme biosynthesis and bilirubin degradation. Coproporphyrinogen III, protoporphyrin IX, hematoporphyrin, and harderoporphyrin are naturally occurring porphyrins, intermediates that play an important role in heme biosynthesis. Heme is critical also for the biological functions of several enzymes, such as cytochromes (Ajioka et al., <xref ref-type="bibr" rid="B2">2006</xref>). The down-regulation of porphyrins is another observation that may support our previous findings that <italic>H. pylori</italic> eradication may affect the regulation of energy metabolism and hence, possibly lead to the development of metabolic disorders such as obesity (Yap et al., <xref ref-type="bibr" rid="B93">2015</xref>).</p>
<p>The synthesis of bile acids (BAs) is the key pathway of cholesterol catabolism in human. BAs are now regarded as metabolic integrators of whole-body energy homeostasis (Du et al., <xref ref-type="bibr" rid="B25">2013</xref>). BAs can influence glucose and lipid metabolism through the activation of farnesoid X receptor (FXR), lowers plasma triglyceride (TG) synthesis and/or the modulation of glucose-induced lipogenic genes (Lefebvre et al., <xref ref-type="bibr" rid="B49">2009</xref>). Furthermore, previous studies have shown that the importance of intestinal bacteria on the metabolism of BAs (Cummings and Macfarlane, <xref ref-type="bibr" rid="B18">1997</xref>) and modulation of lipid metabolism (Velagapudi et al., <xref ref-type="bibr" rid="B85">2010</xref>). Up-regulation of prequalene diphosphate, an intermediate involved in cholesterol biosynthesis, was probably linked to the increase of bile acid in the post-<italic>H. pylori</italic> eradication plasma. We also identified two BAs, taurocholic acid and taurochenodeoxycholic acid in which they were up-regulated at 6 and 12 months post-<italic>H. pylori</italic> eradication but down-regulated at 18 months-post eradication. Consistently, majority of the TG in our study were found to be down-regulated at 6 and 12 months post-<italic>H. pylori</italic> eradication (File <xref ref-type="supplementary-material" rid="SM11">S1</xref>). Hence, the elevation of BAs in the plasma could also be the indication of possibility of future onset of metabolic disorders. However, at 18 months post-eradication, the bile acids in plasma were down-regulated instead, and strange enough, majority of the plasma TG were still down-regulated as compared to Baseline.</p>
</sec>
<sec>
<title>Altered oxidative stress and its association with immunological disorders</title>
<p>The down-regulation of Biliverdin IX, which acts as the precursor of biosynthesis of bilirubin, as well as uribilinoids (Mesobilirubinogen and L-Urobilinogen) and urobilins (I-Urobilin and L-Urobilin), which are by-products of bilirubin degradation could be associated with the down-regulation of cellular antioxidant activity. Bilirubin is a lipophilic linear tetrapyrrole found abundantly in blood plasma of mammals. It is the final product of heme catabolism. The first major step of heme catabolic pathway involves the formation of water-soluble biliverdin from heme by heme oxygenase (HO) which is subsequently reduced by biliverdin reductase (BVR) to bilirubin (Baranano et al., <xref ref-type="bibr" rid="B11">2002</xref>). Studies have shown that bilirubin is a main physiologic antioxidant cytoprotectant (Stocker et al., <xref ref-type="bibr" rid="B79">1987</xref>; Baranano et al., <xref ref-type="bibr" rid="B11">2002</xref>; Kapitulnik, <xref ref-type="bibr" rid="B43">2004</xref>; Sedlak et al., <xref ref-type="bibr" rid="B77">2009</xref>) which can protect cells from a 10,000-fold excess of H<sub>2</sub>O<sub>2</sub> (Baranano et al., <xref ref-type="bibr" rid="B11">2002</xref>; Sedlak et al., <xref ref-type="bibr" rid="B77">2009</xref>). The down-regulation of biliverdin IX in plasma post-<italic>H. pylori</italic> eradication may indicate low concentration of bilirubin in tissues that leads to marked increase of reactive oxygen species in the tissue levels and causes apoptotic cell death (Baranano et al., <xref ref-type="bibr" rid="B11">2002</xref>; Sedlak et al., <xref ref-type="bibr" rid="B77">2009</xref>).</p>
<p>In addition, it has been reported that oxidative stress may play a crucial role in the pathogenesis of asthma. For instance, Ohrui et al. reported a case of significant relief of asthma symptoms during jaundice (Ohrui et al., <xref ref-type="bibr" rid="B60">2003</xref>). On the other hand, accumulating evidence suggests that bilirubin also possesses immunomodulatory properties (Nejedl&#x000E1;, <xref ref-type="bibr" rid="B58">1970</xref>; V&#x0011B;tvi&#x0010D;ka et al., <xref ref-type="bibr" rid="B88">1985</xref>; Haga et al., <xref ref-type="bibr" rid="B35">1996</xref>; Kirkby and Adin, <xref ref-type="bibr" rid="B44">2006</xref>; Liu et al., <xref ref-type="bibr" rid="B51">2008</xref>) and may protect mammals against autoimmune diseases (Liu et al., <xref ref-type="bibr" rid="B51">2008</xref>). Therefore, the down-regulation of Biliverdin IX and by-products of bilirubin following <italic>H. pylori</italic> eradication could be related to the negative association of <italic>H. pylori</italic> with asthma and allergy (Amedei et al., <xref ref-type="bibr" rid="B6">2006</xref>, <xref ref-type="bibr" rid="B7">2010</xref>; Blaser et al., <xref ref-type="bibr" rid="B14">2008</xref>) and autoimmune diseases (Sawalha et al., <xref ref-type="bibr" rid="B75">2004</xref>; Ram et al., <xref ref-type="bibr" rid="B74">2013</xref>) where <italic>H. pylori</italic> may have protective effect against some of the immunological disorders.</p>
</sec>
<sec>
<title>Altered sphingolipid metabolism and its association with inflammation</title>
<p>Ceramide, sphingosine, sphingosine 1-phosphate (S1P), and ceramide-1-phosphate (C1P) are the main bioactive sphingolipids that act as signaling molecules to regulate physiological events such as cell proliferation, apoptosis, and inflammation (Futerman and Hannun, <xref ref-type="bibr" rid="B31">2004</xref>; Hannun and Obeid, <xref ref-type="bibr" rid="B37">2008</xref>; Morad and Cabot, <xref ref-type="bibr" rid="B55">2013</xref>). Ceramide is an important molecule in sphingolipid metabolism (KEGG: map00600) and a precursor of complex sphingolipids. S1P has strong proinflammatory properties. It activates neutrophils and macrophages and further induces mast cells degranulation. S1P also stimulates cyclooxygenase 2 (COX2), thus leading to production of inflammatory mediators (Takeuchi et al., <xref ref-type="bibr" rid="B83">2006</xref>). It is known that colonization of the stomach by <italic>H. pylori</italic> can result in chronic gastritis, and in minority cases, it causes the development of peptic ulcers at the site of colonization (Kusters et al., <xref ref-type="bibr" rid="B46">2006</xref>). Eradicating <italic>H. pylori</italic> can permanently cure of most gastric and duodenal ulcers. In our study, following <italic>H. pylori</italic> eradication, the down-regulation of S1P, sphinganine 1-phosphate and phytosphingosine could probably be related to the reduction of sub-clinical inflammation in the stomach lining. These observations probably complimented with the down-regulation of fecal pytosphingosine post- <italic>H. pylori</italic> eradication. It is important to note that we also observed significant changes of ceramides and other more complex sphingolipids, such as glucosylceramides, and lactosylceramide in the plasma but they did not display a consistent pattern of expression (File <xref ref-type="supplementary-material" rid="SM12">S2</xref>). Studies have shown that lipid metabolism in blood could be impacted by the changes of gut microbiota (Velagapudi et al., <xref ref-type="bibr" rid="B85">2010</xref>). Thus, changes of expression of sphingolipids in this study may reflect another aspect of the influence of gut microflora on biochemical reactions in blood.</p>
</sec>
<sec>
<title>Others</title>
<p>On filtering out exogenous plasma metabolites that were not produced by the human body, two hopanoids produced by <italic>Proteobacteria</italic> in the plasma, bacteriohopane-,32,33,34-triol-35-cyclitolguanine and 2-methyl-32,35-anhydrobacteriohopanetetrol, were detected that may be correlated with the <italic>Proteobacteria</italic> hopanoid (32,35-anhydrobacteriohopaneterol) found in fecal lipidome. Similar to the hopanoid found in fecal lipidome, these two plasma hopanoids were also down-regulated post-<italic>H. pylori</italic> eradication (File <xref ref-type="supplementary-material" rid="SM13">S3</xref>). This observation was yet again another instance that indicates changes in the gut microbiota (local) impact the systemic changes of human body following <italic>H. pylori</italic> eradication.</p>
<p>Beside the loss of <italic>H. pylori</italic>, proton pump inhibitors and antibiotics may also influence the human gut microbiome, fecal lipidome, and plasma metabolome. Several studies had demonstrated that proton pump inhibitor causes significant shifts in microbiome composition, diversity and function (Bajaj et al., <xref ref-type="bibr" rid="B10">2014</xref>; Imhann et al., <xref ref-type="bibr" rid="B39">2016</xref>; Jackson et al., <xref ref-type="bibr" rid="B40">2016</xref>). However, the long-term effects proton pump inhibitors are unknown. The effects of antibiotic therapy on the gut microbiome defers among individuals and antibiotics used (Jakobsson et al., <xref ref-type="bibr" rid="B41">2010</xref>; Zaura et al., <xref ref-type="bibr" rid="B94">2015</xref>). Zaura et al. (<xref ref-type="bibr" rid="B94">2015</xref>) showed that clindamycin and ciprofloxacin can cause severe and long-term impact on the health-associated butyrate-producing microbial community of the gut while amoxicillin treatment only resulted in dissimilarity between baseline and week-1 samples compared to placebo group in feces. The diversity of the microbiota has been reported to recover to resemble the pre-treatment states by the end of 1 year after clarithromycin, metronidazole and omeprazole treatment, the microbiota remained perturbed in some cases for up to 4 years post treatment (Jakobsson et al., <xref ref-type="bibr" rid="B41">2010</xref>). The present study could not definitely attribute these observations to the loss of <italic>H. pylori</italic> as we were unable to rule out completely the influences of triple therapy used for <italic>H. pylori</italic> eradication.</p>
</sec>
</sec>
<sec sec-type="conclusions" id="s5">
<title>Conclusions</title>
<p>The local and systemic effects of <italic>H. pylori</italic> eradication and the proposed mechanisms underlying the association of <italic>H. pylori</italic> eradication with human metabolic and immunological disorders are summarized in Figure <xref ref-type="fig" rid="F6">6</xref>. In conclusion, non-targeted fecal lipidomics and plasma metabolomics revealed that <italic>H. pylori</italic> eradication dramatically changed many global metabolite/lipid features, with the majority of metabolites being down-regulated. We have proposed the influence of gut microbiota on the systemic changes of human body. Our findings primarily implicate the perturbation of gut microbiota following <italic>H. pylori</italic> eradication may affect the energy and lipid metabolism in human which could eventually lead to the development of metabolic disorders. The predictive metabolic signature of metabolic and immunological disorders following <italic>H. pylori</italic> eradication gave us insights on the intricate and complex interaction of <italic>H. pylori</italic> and gut microbiota in modulating human health and therefore, a point to ponder upon in future management of <italic>H. pylori</italic> infection.</p>
<fig id="F6" position="float">
<label>Figure 6</label>
<caption><p><bold>The local and systemic effects of <italic><bold>H. pylori</bold></italic> eradication</bold>.</p></caption>
<graphic xlink:href="fmicb-08-00536-g0006.tif"/>
</fig>
</sec>
<sec id="s6">
<title>Availability of data and materials</title>
<p>The datasets supporting the conclusions of this article are included within the article (and its additional files).</p>
</sec>
<sec id="s7">
<title>Author contributions</title>
<p>GP, ML, KG, and JV conceived and designed the experiments. TY performed the experiments and analyzed the data. JV contributed reagents/materials/analysis tools. TY, GP, DC, ML, KG, and JV contributed to the writing of the manuscript. TY, AL, and AA carried out the recruitment of volunteers. AL and KG carried out the clinical analysis. ML and JV helped to supervise the laboratory works.</p>
</sec>
<sec id="s8">
<title>Funding</title>
<p>This study was supported by the University of Malaya-Ministry of Education (UM-MOE) High Impact Research (HIR) Grant UM.C/HIR/MOE/13/4 (HIR Account No: H-50001-00-A000029), University of Malaya Research Grant (UMRG) RP016B-13HTM, the Diane Belfer Program for Human Microbial Ecology, the C, and D fund (anonymous donors), and the Knapp Family Fund.</p>
<sec>
<title>Conflict of interest statement</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
</sec>
</body>
<back>
<ack><p>We extend our gratitude to the nurses and clinical staff of the Endoscopy Unit, UMMC and researchers of Helicobacter Research Laboratory at the High Impact Research (HIR) Building, UM. We would also like to acknowledge Prof. Dr. Martin Blaser and Assoc. Prof. Dr. Fritz Francois from School of Medicine, New York University for their constructive advices on the ESSAY Study.</p>
</ack>
<sec sec-type="supplementary-material" id="s9">
<title>Supplementary material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="http://journal.frontiersin.org/article/10.3389/fmicb.2017.00536/full#supplementary-material">http://journal.frontiersin.org/article/10.3389/fmicb.2017.00536/full#supplementary-material</ext-link></p>
<supplementary-material xlink:href="Image1.TIF" id="SM1" mimetype="image/tif" xmlns:xlink="http://www.w3.org/1999/xlink">
<label>Figure S1</label>
<caption><p><bold>Typical LC-ESI-TOF total ion chromatogram of fecal lipid extract from (A)</bold> Baseline, <bold>(B)</bold> 6 months, <bold>(C)</bold> 12 months, and <bold>(D)</bold> 18 months post-eradication group, acquired under ESI positive ionization.</p></caption></supplementary-material>
<supplementary-material xlink:href="Image2.TIF" id="SM2" mimetype="image/tif" xmlns:xlink="http://www.w3.org/1999/xlink">
<label>Figure S2</label>
<caption><p><bold>Typical LC-ESI-TOF total ion chromatogram of fecal lipid extract from (A)</bold> Baseline, <bold>(B)</bold> 6 months, <bold>(C)</bold> 12 months, and <bold>(D)</bold> 18 months post-eradication group, acquired under ESI negative ionization.</p></caption></supplementary-material>
<supplementary-material xlink:href="Image3.TIF" id="SM3" mimetype="image/tif" xmlns:xlink="http://www.w3.org/1999/xlink">
<label>Figure S3</label>
<caption><p><bold>Typical LC-ESI-TOF total ion chromatogram of plasma metabolite extract from (A)</bold> Baseline, <bold>(B)</bold> 6 months, <bold>(C)</bold> 12 months, and <bold>(D)</bold> 18 months post-eradication group, acquired under ESI positive ionization.</p></caption></supplementary-material>
<supplementary-material xlink:href="Image4.TIF" id="SM4" mimetype="image/tif" xmlns:xlink="http://www.w3.org/1999/xlink">
<label>Figure S4</label>
<caption><p><bold>Typical LC-ESI-TOF total ion chromatogram of plasma metabolite extract from (A)</bold> Baseline, <bold>(B)</bold> 6 months, <bold>(C)</bold> 12 months, and <bold>(D)</bold> 18 months post-eradication group, acquired under ESI negative ionization.</p></caption></supplementary-material>
<supplementary-material xlink:href="Table1.DOCX" id="SM5" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document" xmlns:xlink="http://www.w3.org/1999/xlink">
<label>Table S1</label>
<caption><p><bold>Global characterization of the fecal lipidomics data</bold>.</p></caption></supplementary-material>
<supplementary-material xlink:href="Table2.DOCX" id="SM6" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document" xmlns:xlink="http://www.w3.org/1999/xlink">
<label>Table S2</label>
<caption><p><bold>Summary of the differentially expressed fecal lipids</bold>.</p></caption></supplementary-material>
<supplementary-material xlink:href="Table3.DOCX" id="SM7" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document" xmlns:xlink="http://www.w3.org/1999/xlink">
<label>Table S3</label>
<caption><p><bold>Global characterization of the plasma metabolomics data</bold>.</p></caption></supplementary-material>
<supplementary-material xlink:href="Table4.DOCX" id="SM8" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document" xmlns:xlink="http://www.w3.org/1999/xlink">
<label>Table S4</label>
<caption><p><bold>Summary of the differentially expressed plasma metabolites</bold>.</p></caption></supplementary-material>
<supplementary-material xlink:href="Table5.DOCX" id="SM9" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document" xmlns:xlink="http://www.w3.org/1999/xlink">
<label>Table S5</label>
<caption><p><bold>Characteristics of the pooled fecal and plasma sample groups</bold>.</p></caption></supplementary-material>
<supplementary-material xlink:href="Table6.DOCX" id="SM10" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document" xmlns:xlink="http://www.w3.org/1999/xlink">
<label>Table S6</label>
<caption><p><bold>Mixture of Avanti Polar Lipids glycerophospholipid standards</bold>.</p></caption></supplementary-material>
<supplementary-material xlink:href="DataSheet1.XLSX" id="SM11" mimetype="application/vnd.openxmlformats-officedocument.spreadsheetml.sheet" xmlns:xlink="http://www.w3.org/1999/xlink">
<label>File S1</label>
<caption><p><bold>Significantly changed fecal lipid profiles when Baseline compared with post-<italic>H. pylori</italic> eradication groups</bold>.</p></caption></supplementary-material>
<supplementary-material xlink:href="DataSheet2.XLSX" id="SM12" mimetype="application/vnd.openxmlformats-officedocument.spreadsheetml.sheet" xmlns:xlink="http://www.w3.org/1999/xlink">
<label>File S2</label>
<caption><p><bold>Significantly changed plasma metabolite profiles when Baseline compared with post-<italic>H. pylori</italic> eradication groups</bold>.</p></caption></supplementary-material>
<supplementary-material xlink:href="DataSheet3.XLSX" id="SM13" mimetype="application/vnd.openxmlformats-officedocument.spreadsheetml.sheet" xmlns:xlink="http://www.w3.org/1999/xlink">
<label>File S3</label>
<caption><p><bold><italic>Proteobacteria</italic> hopanoids detected in the plasma metabolite profiles</bold>.</p></caption></supplementary-material>
</sec>
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