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p://ftp.ebi.ac.uk/pub/databases/metabolights/studies/public/MTBLS374/FILES/RAW_FILES/11.zipprimaryOK200ftp://ftp.ebi.ac.uk/pub/databases/metabolights/studies/public/MTBLS374Multivariate principal component analysis was used to examine the data sets and to observe clustering in the results according to predefined classes. Univariate logistic regression was performed, adjusting for confounding factors between never-smokers and smokers with class variables (body mass index (BMI), gender, drug intake and age) for each MS feature in the data sets. Linear regression of the metabolic data was performed against urinary total nicotine equivalent (TNEQ) as the dependent variable. Confirmation of metabolite identities in the NMR data was obtained using 1D and 2D NMR experiments, spike-in of chemical standards, J-Resolved spectroscopy (JRES), TOtal Correlation SpectroscopY (TOCSY), and Hetero-nuclear 1H-13C Single Quantum Coherence (HSQC) spectroscopy).MetaboLightsPublicBrukerMultiplatform serum metabolic phenotyping combined with pathway mapping to identify biochemical differences in smokers. 10.4155/bio-2016-0108.The serum samples were analysed using 1H-NMR spectroscopy 1H-NMR standard 1D (NOESYPR1D) with water pre-saturation and CPMG spectra were recorded on a 600 MHz Avance III Bruker NMR spectrometer (Bruker Biospin, Rheinstetten, Germany) operating at 600.13 MHz performed to maximise metabolite coverage. All experiments were performed with 32 scans, a 10 ms mixing time, and 96,000 data points at a temperature of 310 K.Metabometrix LtdManuja Kaluarachchiblood serumNMR spectroscopyNot applicable.Homo sapienshttps://www.ebi.ac.uk/metabolights/MTBLS374Emmanuel Minet. British American Tobacco, Group Research and Development, Regents Park Road, Southampton SO15 8TL UK. emmanuel_minet@bat.com. +44 (0) 2380 588 997..John Lindon. Metabometrix Ltd, Bioincubator, Prince Consort Road, South Kensington, London SW7 2BP UK. j.lindon@imperial.ac.uk. 020 7594 3194.Manuja Kaluarachchi. Metabometrix Ltd, Bioincubator, Prince Consort Road, South Kensington, London SW7 2BP UK. manuja.kaluarachchi@imperial.ac.uk. 7974910373.Claire Boulange. Metabometrix Ltd, Bioincubator, Prince Consort Road, South Kensington, London SW7 2BP UK. c.boulange09@imperial.ac.uk. 07587 183901.Isabel Garcia-Perez. Metabometrix Ltd, Bioincubator, Prince Consort Road, South Kensington, London SW7 2BP UK. i.garcia-perez@imperial.ac.uk.The acquired 1H-NMR spectra were zero-filled to 128 k points, Fourier transformed, phase and baseline corrected using Bruker Topspin 3.1 (Bruker Biospin, Rheinstetten, Germany). The serum spectra were referenced to the anomeric proton assigned to α-glucose at δ5.22 and imported to MATLAB (R2014a, The Mathworks, Natick, MA, USA) for further analysis. Regions corresponding to the water peak (δ4.3 to 4.925) were removed. All spectra were normalized using probabilistic quotient normalization using the mean spectrum as the reference.gendersmoking statusagemanuja.kaluarachchi@imperial.ac.ukA period of 48 h of clinical confinement with controlled diet preceded the biofluid sample collection with exclusion of caffeine, alcohol, grilled, fried and smoked food. Adherence to these dietary restrictions was also required 48 h before the visit to the clinic. For this study, we only used serum samples collected at day 183 (n=55; 28 males, 27 females) for smokers and day 164 (n=57; 29 males, 28 females) for never-smokers who completed the study.The serum samples were analysed using 1H-NMR spectroscopy with two different pulse sequences. The first, the so-called noesy-presat sequence, provides an overview of all proton-containing species and yields sharp peaks for small molecule species, broad bands from the lipoproteins (used later for lipoprofile analysis, see below) and a broad largely featureless-background from proteins, the most abundant being albumin. The second pulse sequence, the so-called Carr-Purcell-Meiboom-Gill (CPMG) sequence, takes advantage of the different nuclear spin relaxation times between large and small molecules to attenuate the peaks from large molecules (those with shorter spin-spin relaxation times) to leave mainly small molecule metabolite peaks. The main data analysis was performed using the CPMG spectral data and the lipoprotein profiling was carried out using the noesy-presat spectral data. For the CPMG spectra a relaxation delay (RD) of 4 s, a mixing time of 0.01 s, a spin-echo delay of 0.3 ms, 128 loops and a free induction decay (FID) acquisition time (ACQ) of 3.067 s were used. A total of 32 scans were recorded into 96k data points with a spectral width of 20 ppm.Metabolomicsnuclear magnetic resonance spectroscopyuntargeted metabolitesxenobioticbiomarkernuclear magnetic resonance spectroscopyuntargeted metabolitesxenobioticbiomarkerFrozen serum samples (-80 °C) were thawed and then centrifuged at 2700 x g for 10 min to remove particulates and precipitated proteins. 300 μL of individual serum samples were prepared with pH 7.4 phosphate buffer for high resolution 1H-NMR spectroscopy as described previously[1]. Precision high-throughput proton NMR spectroscopy of human urine, serum, and plasma for large-scale metabolic phenotyping. Ref:[1] Dona AC, Jiménez B, Schäfer H, Humpfer E, Spraul M, Lewis MR, Pearce JT, Holmes E, Lindon JC, Nicholson JK. Precision high-throughput proton NMR spectroscopy of human urine, serum, and plasma for large-scale metabolic phenotyping. Anal Chem. 2014 Oct 7;86(19):9887-94. doi:10.1021/ac5025039. Epub 2014 Sep 16. PMID:25180432.citrateglutathioneglutamateBiological Markers, Viral Marker, Other diseases of pericardium (disorder), Surrogate Endpoints, Cardiovascular disease, single-organism developmental process, Risk Analyses, determination, Laboratory, Risk-Benefit Assessments, Vapers, Other pericardial disease NOS (disorder), Blood, Chronic Airflow Obstructions, postnatal development, Other heart disease NOS (disorder), Cardiovascular disorder, Non-Tobacco Products Smoker, Biochemical, PAPILLARY MUSCLE DIS NEC, nicotin, Endpoint, chronic obstructive pulmonary disease (COPD), growth and development, Cardiac Event, Serum, Tumor, [X]Other specified diseases of pericardium (disorder), Xrel2, Laboratory Markers, unspecified, Disease of cardiovascular system (disorder), diseases, Benefit Risk Assessment, Nonsmokers, C-Rel, Biological, chronic obstructive airways disease NOS (disorder), Other heart disease NOS, Chronic irreversible airway obstruction, CVD, diseases and disorders, Analysis, Chronic Obstructive Pulmonary Disease (COPD), Health Risk Assessments, Cardiovascular Diseases, strong, human disease, COLD (chronic obstructive lung disease), NEC in ICD9CM_2006, [X]Other forms of heart disease (disorder), Other ill-defined heart disease (disorder), CAFL - Chronic airflow limitation, Other diseases of endocardium, v-rel, circulatory system disease, ird, Chronic airflow limitation, DmelCG4063, Non-Tobacco Products Smokers, Risk Benefit Assessment, Immune, Disorder of cardiovascular system, Markers, disease (COPD), malignant neoplasm, scientific observation, Viral Markers, Chronic Obstructive Pulmonary Diseases, Homo sapiens disease, Malignancies, Tbl1, TBL1, rel-A, REL, Event, CHRONIC OBSTRUCTIVE PULMONARY DISEASE, Tumors, CHRONIC, Circulatory system disease NOS (disorder), chronic obstructive lung disease [Ambiguous], obstructive lung disease, Viral, Surrogate Endpoint, l(3)neo36, Risks and Benefits, Disorder of circulatory system, Biochemical Markers, Health Risk Assessment, rel, Blood Serum, tobacco, Vaper, Biologic Marker, Airflow Obstructions, disease of subdivision of hemolymphoid system, CHRONIC OBSTRUCTIVE AIRWAY DIS, pulmonary disease (COPD), Risk Assessment, Benign, Marker, Chronic Obstructive Airway Disease, CHRONIC OBSTRUCTIVE, chronic obstructive pulmonary disease and allied conditions, Adverse Cardiac Event, Diseases, Chronic airway disease, NOS, Pyridine, Other pericardial disease NOS, Airflow Obstruction, CIRCULATORY DISEASE NOS, CARDIOVASC DIS, COPD NOS, (+-)-nicotine, Smoking, CHRONIC OBSTRUCTIVE LUNG DIS, Chronic Obstructive Airways Disease, Chronic airway obstruction, Chronic obstructive lung disease, tobacco use disorder, Epistemology, Benefits and Risks, CG4063, End Points, Risk, cold, Adverse Cardiac Events, Disorder of the circulatory system, Benign Neoplasms, Smoker, [X]Other ill-defined heart diseases (disorder), Benefit-Risk Assessment, RELI, Immunologic, Laboratory Marker, E-2f, E-2g, Malignant Neoplasms, Chronic Airflow Obstruction, (RS)-nicotine, disease, Health, S)-nicotine, Biochemical Marker, OBSTRUCTIVE PULMONARY DISEASE (COPD), COPD - Chronic obstructive pulmonary disease, ILL-DEFINED HRT DIS NEC, common tobacco, Risk Assessments, chronic obstructive airways disease, obstructive pulmonary disease (COPD), Disease affecting entire cardiovascular system, chronic obstructive lung disease, COLD, Cardiovascular Disorders, other disease, ASCVD, Cardiovascular system disease, ird4, Tb11, NF-kappaB, Nonsmoker, Clinical Markers, Clinical Marker, DISEASE (COPD), Neoplasms, relish, Other heart disease (disorder), CAO - Chronic airflow obstruction, Benign Neoplasm, CHRONIC OBSTRUCTIVE PULM DIS, Other diseases of pericardium, Chronic obstructive pulmonary disease NOS, Other disorders of papillary muscle, xrel, Adverse, Malignant, unspecified (disorder), Surrogate End Points, FBXW4, Chronic obstructive pulmonary disease finding, Smokers, Surrogate Markers, Disorder of cardiovascular system (disorder), [X]Cardiovascular disease, PULMONARY DISEASE (COPD), Cardiac, Pulmonary Disease, resilient, (R, tough, disease or disorder, Tobacco, 3-(1-methyl-2-pyrrolidinyl)-, Other ill-defined heart disease NOS (disorder), Unspecified circulatory system disorder, CG11992, Non-Smoker, Biomarker, study, Other diseases of endocardium (disorder), Clinical, [X]Other specified diseases of pericardium, Malignancy, Risk-Benefit, Ebi, EBI, Biological Marker, Other heart disease, Other forms of heart disease, Chronic Obstructive, Tobacco Smokers, Other specified pericardial disease NOS, Benefit-Risk Assessments, non-neoplastic, cardiovascular disease, Neoplasias, Immunologic Markers, NEC, Chronic, Disease of cardiovascular system, disorder, (+-)-3-(1-Methyl-2-pyrrolidinyl)pyridine, Non-Tobacco Products, Immunologic Marker, Chronic Obstructive Pulmonary Disease, Circulatory system disease NOS, Biologic, COPD, OTHER SEQUELAE OF MI NEC, Cancer, measuring, COAD - Chronic obstructive airways disease, Disease, Other ill-defined heart diseases, c-Rel, Malignant Neoplasm, Risk-Benefit Assessment, chronic obstructive airways disease NOS, not elsewhere classified, Serum Markers, COAD, disorders, Tobacco Smoker, End Point, Nicotiana tabacum var. Samsun, Non Tobacco Products, Risk Analysis, tough., medical condition, SMAP55, Disease affecting entire cardiovascular system (disorder), COLD - Chronic obstructive lung disease, Rel-p110, (S)-, chronic, PULM DIS CHRONIC OBSTRUCTIVE, Other ill-defined heart disease, Nicotine Tartrate, Immune Marker, Chronic obstructive pulmonary disease finding (finding), development, Cardiac Events, c-rel, MT, Surrogate End Point, Nicotania tabacum, chemical analysis, Neoplasm, condition, (COPD), chronic airway obstruction, American tobacco, chronic obstructive, Other forms of heart disease (disorder), Other ill-defined heart disease NOS, PERICARDIAL DISEASE NEC, CAL - Chronic airflow limitation, NFkappaB, Biologic Markers, chronic obstructive airway disease, Other specified diseases of pericardium, Serum Marker, Cardiovascular, primary cancer, Assessment, DmelCG11992, Benefit-Risk, Surrogate, [X]Other ill-defined heart diseases, Dops, Endpoints, postnatal growth, [X]Other forms of heart disease, Cancers, Other sequelae of myocardial infarction, malignant tumor, Surrogate Marker, l(2)k16213, Tobacco Smoking, Cardiovascular Disease, CVS disease, Other specified pericardial disease NOS (disorder), nikotin, chronic obstructive lung disease (disorder), Nicotine Bitartrate, cold (chronic obstructive lung disease), Chronic Obstructive Lung Disease, Major Adverse Cardiac Events, assay, growth, Rel/NF-kappaB, Serums, Neoplasia, Health Risk, Immune Markers, chronic obstructive pulmonary diseasemeasuring, Smokers, Non-Tobacco Products Smokers, determination, scientific observation, Vapers, Blood, Tobacco, Tobacco Smoker, Non-Tobacco Products Smoker, chemical analysis., Smoker, Non Tobacco Products, assay, Non-Tobacco Products, Blood Serum, Serum, Vaper, Tobacco Smokers, SerumsfalseMultiplatform serum metabolic phenotyping combined with pathway mapping to identify biochemical differences in smokers (NMR assay)A multiplatform comparison of serum of smokers (n=56) and non-smokers (n=57) using NMR spectroscopy and UPLC-MS was carried out to determine perturbed biochemical functions associated with tobacco smoking. This should be helpful for establishing causal relationships between exposure and adverse events. The statistical modelling revealed clustering of the classes, distinguished by metabolic biomarkers. The identified metabolites were subjected to metabolic pathway enrichment, modelling adverse biological events using available databases. Perturbation of metabolites involved in COPD, cardiovascular diseases and cancer were identified. Combining multiplatform metabolic phenotyping with knowledge-based mapping gives mechanistic insights into disease development which can be applied to next-generation tobacco/ nicotine products for risk assessment. NMR assay is reported in the current study <a href='https://www.ebi.ac.uk/metabolights/MTBLS374' rel='noopener noreferrer' target='_blank'>MTBLS374</a>.UPLC-MS assay is reported in <a href='https://www.ebi.ac.uk/metabolights/MTBLS364' rel='noopener noreferrer' target='_blank'>MTBLS364</a>.2017-01-092016-09-07MTBLS374MTBLC30769MTBLC18237MTBLC16856CHEBI:30769CHEBI:18237CHEBI:16856