1
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Huang HX, Inglese P, Tang J, Yagoubi R, Correia GDS, Horneffer-van der Sluis VM, Camuzeaux S, Wu V, Kopanitsa MV, Willumsen N, Jackson JS, Barron AM, Saito T, Saido TC, Gentlemen S, Takats Z, Matthews PM. Mass spectrometry imaging highlights dynamic patterns of lipid co-expression with Aβ plaques in mouse and human brains. J Neurochem 2024. [PMID: 38372586 DOI: 10.1111/jnc.16042] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2023] [Revised: 11/13/2023] [Accepted: 12/06/2023] [Indexed: 02/20/2024]
Abstract
Lipids play crucial roles in the susceptibility and brain cellular responses to Alzheimer's disease (AD) and are increasingly considered potential soluble biomarkers in cerebrospinal fluid (CSF) and plasma. To delineate the pathological correlations of distinct lipid species, we conducted a comprehensive characterization of both spatially localized and global differences in brain lipid composition in AppNL-G-F mice with spatial and bulk mass spectrometry lipidomic profiling, using human amyloid-expressing (h-Aβ) and WT mouse brains controls. We observed age-dependent increases in lysophospholipids, bis(monoacylglycerol) phosphates, and phosphatidylglycerols around Aβ plaques in AppNL-G-F mice. Immunohistology-based co-localization identified associations between focal pro-inflammatory lipids, glial activation, and autophagic flux disruption. Likewise, in human donors with varying Braak stages, similar studies of cortical sections revealed co-expression of lysophospholipids and ceramides around Aβ plaques in AD (Braak stage V/VI) but not in earlier Braak stage controls. Our findings in mice provide evidence of temporally and spatially heterogeneous differences in lipid composition as local and global Aβ-related pathologies evolve. Observing similar lipidomic changes associated with pathological Aβ plaques in human AD tissue provides a foundation for understanding differences in CSF lipids with reported clinical stage or disease severity.
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Affiliation(s)
- Helen Xuexia Huang
- Section of Bioanalytical Chemistry, Department of Metabolism, Digestion and Reproduction, Imperial College London, London, UK
- UK Dementia Research Institute at Imperial College London, Imperial College London, London, UK
| | - Paolo Inglese
- Section of Bioanalytical Chemistry, Department of Metabolism, Digestion and Reproduction, Imperial College London, London, UK
- National Phenome Centre, Department of Metabolism, Digestion and Reproduction, Imperial College London, London, UK
| | - Jiabin Tang
- Department of Brain Sciences, Imperial College London, London, UK
| | - Riad Yagoubi
- Section of Bioanalytical Chemistry, Department of Metabolism, Digestion and Reproduction, Imperial College London, London, UK
- UK Dementia Research Institute at Imperial College London, Imperial College London, London, UK
| | - Gonçalo D S Correia
- Section of Bioanalytical Chemistry, Department of Metabolism, Digestion and Reproduction, Imperial College London, London, UK
- National Phenome Centre, Department of Metabolism, Digestion and Reproduction, Imperial College London, London, UK
| | | | - Stephane Camuzeaux
- National Phenome Centre, Department of Metabolism, Digestion and Reproduction, Imperial College London, London, UK
| | - Vincen Wu
- Section of Bioanalytical Chemistry, Department of Metabolism, Digestion and Reproduction, Imperial College London, London, UK
| | - Maksym V Kopanitsa
- UK Dementia Research Institute at Imperial College London, Imperial College London, London, UK
| | - Nanet Willumsen
- UK Dementia Research Institute at Imperial College London, Imperial College London, London, UK
- Department of Brain Sciences, Imperial College London, London, UK
| | - Johanna S Jackson
- UK Dementia Research Institute at Imperial College London, Imperial College London, London, UK
- Department of Brain Sciences, Imperial College London, London, UK
| | - Anna M Barron
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore
| | - Takashi Saito
- Laboratory for Proteolytic Neuroscience, RIKEN Center for Brain Science, Saitama, Japan
- Department of Neurocognitive Science, Institute of Brain Science, Nagoya City University, Graduate School of Medical Sciences, Nagoya, Aichi, Japan
| | - Takaomi C Saido
- Laboratory for Proteolytic Neuroscience, RIKEN Center for Brain Science, Saitama, Japan
- Department of Neurocognitive Science, Institute of Brain Science, Nagoya City University, Graduate School of Medical Sciences, Nagoya, Aichi, Japan
| | - Steve Gentlemen
- Department of Brain Sciences, Imperial College London, London, UK
| | - Zoltan Takats
- Section of Bioanalytical Chemistry, Department of Metabolism, Digestion and Reproduction, Imperial College London, London, UK
| | - Paul M Matthews
- UK Dementia Research Institute at Imperial College London, Imperial College London, London, UK
- Department of Brain Sciences, Imperial College London, London, UK
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2
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Mullish BH, Martinez-Gili L, Chekmeneva E, Correia GDS, Lewis MR, Horneffer-Van Der Sluis V, Roberts LA, McDonald JAK, Pechlivanis A, Walters JRF, McClure EL, Marchesi JR, Allegretti JR. Assessing the clinical value of faecal bile acid profiling to predict recurrence in primary Clostridioides difficile infection. Aliment Pharmacol Ther 2022; 56:1556-1569. [PMID: 36250604 DOI: 10.1111/apt.17247] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/23/2022] [Revised: 08/30/2022] [Accepted: 09/26/2022] [Indexed: 01/30/2023]
Abstract
BACKGROUND Factors influencing recurrence risk in primary Clostridioides difficile infection (CDI) are poorly understood, and tools predicting recurrence are lacking. Perturbations in bile acids (BAs) contribute to CDI pathogenesis and may be relevant to primary disease prognosis. AIMS To define stool BA dynamics in patients with primary CDI and to explore signatures predicting recurrence METHODS: Weekly stool samples were collected from patients with primary CDI from the last day of anti-CDI therapy until recurrence or, otherwise, through 8 weeks post-completion. Ultra-high performance liquid chromatography-mass spectrometry was used to profile BAs. Stool bile salt hydrolase (BSH) activity was measured to determine primary BA bacterial deconjugation capacity. Multivariate and univariate models were used to define differential BA trajectories in patients with recurrence versus those without, and to assess faecal BAs as predictive markers for recurrence. RESULTS Twenty (36%) of 56 patients (median age: 57, 64% male) had recurrence; 80% of recurrences occurred within the first 9 days post-antibiotic treatment. Principal component analysis of stool BA profiles demonstrated clustering by recurrence status and post-treatment timepoint. Longitudinal faecal BA trajectories showed recovery of secondary BAs and their derivatives only in patients without recurrence. BSH activity increased over time only among non-relapsing patients (β = 0.056; likelihood ratio test p = 0.018). A joint longitudinal-survival model identified five stool BAs with area under the receiver operating characteristic curve >0.73 for predicting recurrence within 9 days post-CDI treatment. CONCLUSIONS Gut BA metabolism dynamics differ in primary CDI patients between those developing recurrence and those who do not. Individual BAs show promise as potential novel biomarkers to predict CDI recurrence.
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Affiliation(s)
- Benjamin H Mullish
- Division of Digestive Diseases, Department of Metabolism, Digestion and Reproduction, Faculty of Medicine, St Mary's Hospital Campus, Imperial College London, London, UK.,Departments of Gastroenterology and Hepatology, St Mary's Hospital, Imperial College Healthcare NHS Trust, London, UK
| | - Laura Martinez-Gili
- Division of Digestive Diseases, Department of Metabolism, Digestion and Reproduction, Faculty of Medicine, St Mary's Hospital Campus, Imperial College London, London, UK.,Section of Bioinformatics, Division of Systems Medicine, Department of Metabolism, Digestion and Reproduction, Faculty of Medicine, Imperial College London, London, UK
| | - Elena Chekmeneva
- Department of Metabolism, Digestion and Reproduction, Faculty of Medicine, National Phenome Centre, IRDB Building, Hammersmith House Campus, Imperial College London, London, UK.,Section of Bioanalytical Chemistry, Division of Systems Medicine, Department of Metabolism, Digestion and Reproduction, Imperial College London, London, UK
| | - Gonçalo D S Correia
- Department of Metabolism, Digestion and Reproduction, Faculty of Medicine, National Phenome Centre, IRDB Building, Hammersmith House Campus, Imperial College London, London, UK.,Section of Bioanalytical Chemistry, Division of Systems Medicine, Department of Metabolism, Digestion and Reproduction, Imperial College London, London, UK
| | - Matthew R Lewis
- Department of Metabolism, Digestion and Reproduction, Faculty of Medicine, National Phenome Centre, IRDB Building, Hammersmith House Campus, Imperial College London, London, UK.,Section of Bioanalytical Chemistry, Division of Systems Medicine, Department of Metabolism, Digestion and Reproduction, Imperial College London, London, UK
| | - Verena Horneffer-Van Der Sluis
- Department of Metabolism, Digestion and Reproduction, Faculty of Medicine, National Phenome Centre, IRDB Building, Hammersmith House Campus, Imperial College London, London, UK.,Section of Bioanalytical Chemistry, Division of Systems Medicine, Department of Metabolism, Digestion and Reproduction, Imperial College London, London, UK.,Department for Diagnostics, Institute for Clinical Chemistry and Laboratory Medicine, University Hospital Hamburg-Eppendorf, Hamburg, Germany
| | - Lauren A Roberts
- Division of Digestive Diseases, Department of Metabolism, Digestion and Reproduction, Faculty of Medicine, St Mary's Hospital Campus, Imperial College London, London, UK
| | - Julie A K McDonald
- MRC Centre for Molecular Bacteriology and Infection, Imperial College London, London, UK
| | - Alexandros Pechlivanis
- Section of Bioanalytical Chemistry, Division of Systems Medicine, Department of Metabolism, Digestion and Reproduction, Imperial College London, London, UK.,Laboratory of Analytical Chemistry, Department of Chemistry, Aristotle University of Thessaloniki, Thessaloniki, Greece.,Biomic_Auth, Bioanalysis and Omics Laboratory, Center for Interdisciplinary Research and Innovation (CIRI-AUTH), Thessaloniki, Greece
| | - Julian R F Walters
- Division of Digestive Diseases, Department of Metabolism, Digestion and Reproduction, Faculty of Medicine, St Mary's Hospital Campus, Imperial College London, London, UK.,Departments of Gastroenterology and Hepatology, St Mary's Hospital, Imperial College Healthcare NHS Trust, London, UK
| | - Emma L McClure
- Division of Gastroenterology, Hepatology, and Endoscopy, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - Julian R Marchesi
- Division of Digestive Diseases, Department of Metabolism, Digestion and Reproduction, Faculty of Medicine, St Mary's Hospital Campus, Imperial College London, London, UK
| | - Jessica R Allegretti
- Division of Gastroenterology, Hepatology, and Endoscopy, Brigham and Women's Hospital, Boston, Massachusetts, USA.,Harvard Medical School, Boston, Massachusetts, USA
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3
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Correia GDS, Takis PG, Sands CJ, Kowalka AM, Tan T, Turtle L, Ho A, Semple MG, Openshaw PJM, Baillie JK, Takáts Z, Lewis MR. 1H NMR Signals from Urine Excreted Protein Are a Source of Bias in Probabilistic Quotient Normalization. Anal Chem 2022; 94:6919-6923. [PMID: 35503092 PMCID: PMC9118196 DOI: 10.1021/acs.analchem.2c00466] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
Normalization to account for variation in urinary dilution is crucial for interpretation of urine metabolic profiles. Probabilistic quotient normalization (PQN) is used routinely in metabolomics but is sensitive to systematic variation shared across a large proportion of the spectral profile (>50%). Where 1H nuclear magnetic resonance (NMR) spectroscopy is employed, the presence of urinary protein can elevate the spectral baseline and substantially impact the resulting profile. Using 1H NMR profile measurements of spot urine samples collected from hospitalized COVID-19 patients in the ISARIC 4C study, we determined that PQN coefficients are significantly correlated with observed protein levels (r2 = 0.423, p < 2.2 × 10-16). This correlation was significantly reduced (r2 = 0.163, p < 2.2 × 10-16) when using a computational method for suppression of macromolecular signals known as small molecule enhancement spectroscopy (SMolESY) for proteinic baseline removal prior to PQN. These results highlight proteinuria as a common yet overlooked source of bias in 1H NMR metabolic profiling studies which can be effectively mitigated using SMolESY or other macromolecular signal suppression methods before estimation of normalization coefficients.
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Affiliation(s)
- Gonçalo D. S. Correia
- Section
of Bioanalytical Chemistry, Division of Systems Medicine, Department
of Metabolism, Digestion and Reproduction, Imperial College London, South Kensington Campus, London SW7 2AZ, United Kingdom
- National
Phenome Centre, Imperial College London, Hammersmith Campus, IRDB Building, London W12 0NN, United Kingdom
- G. D. S. Correia.
| | - Panteleimon G. Takis
- Section
of Bioanalytical Chemistry, Division of Systems Medicine, Department
of Metabolism, Digestion and Reproduction, Imperial College London, South Kensington Campus, London SW7 2AZ, United Kingdom
- National
Phenome Centre, Imperial College London, Hammersmith Campus, IRDB Building, London W12 0NN, United Kingdom
- P. G. Takis.
| | - Caroline J. Sands
- Section
of Bioanalytical Chemistry, Division of Systems Medicine, Department
of Metabolism, Digestion and Reproduction, Imperial College London, South Kensington Campus, London SW7 2AZ, United Kingdom
- National
Phenome Centre, Imperial College London, Hammersmith Campus, IRDB Building, London W12 0NN, United Kingdom
| | - Anna M. Kowalka
- Division
of Diabetes, Endocrinology and Metabolism, Department of Metabolism,
Digestion and Reproduction, Imperial College
London, Du Cane Road, London W12 0NN, United Kingdom
- Clinical
Biochemistry, Blood Sciences, North West London Pathology, Charing Cross Hospital, London W6 8RF, United Kingdom
| | - Tricia Tan
- Division
of Diabetes, Endocrinology and Metabolism, Department of Metabolism,
Digestion and Reproduction, Imperial College
London, Du Cane Road, London W12 0NN, United Kingdom
- Clinical
Biochemistry, Blood Sciences, North West London Pathology, Charing Cross Hospital, London W6 8RF, United Kingdom
| | - Lance Turtle
- NIHR
Health Protection Research Unit in Emerging and Zoonotic Infections,
Institute of Infection and Global Health, University of Liverpool, Liverpool L69 7BE, United Kingdom
| | - Antonia Ho
- MRC-University
of Glasgow Centre for Virus Research, University
of Glasgow, Glasgow G61 1QH, United Kingdom
| | - Malcolm G. Semple
- NIHR
Health Protection Research Unit in Emerging and Zoonotic Infections,
Institute of Infection, Veterinary and Ecological Sciences, University of Liverpool, Liverpool L69 7BE, United Kingdom
- Respiratory
Medicine, Alder Hey Children’s Hospital, Liverpool L12 2AP, United Kingdom
| | - Peter J. M. Openshaw
- Faculty
of Medicine, National Heart and Lung Institute, Imperial College London, London SW3 6LY, United Kingdom
| | - J. Kenneth Baillie
- Roslin
Institute, University of Edinburgh, Edinburgh EH25 9RG, United Kingdom
| | - Zoltán Takáts
- Section
of Bioanalytical Chemistry, Division of Systems Medicine, Department
of Metabolism, Digestion and Reproduction, Imperial College London, South Kensington Campus, London SW7 2AZ, United Kingdom
- National
Phenome Centre, Imperial College London, Hammersmith Campus, IRDB Building, London W12 0NN, United Kingdom
| | - Matthew R. Lewis
- Section
of Bioanalytical Chemistry, Division of Systems Medicine, Department
of Metabolism, Digestion and Reproduction, Imperial College London, South Kensington Campus, London SW7 2AZ, United Kingdom
- National
Phenome Centre, Imperial College London, Hammersmith Campus, IRDB Building, London W12 0NN, United Kingdom
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4
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Pruski P, Correia GDS, Lewis HV, Capuccini K, Inglese P, Chan D, Brown RG, Kindinger L, Lee YS, Smith A, Marchesi J, McDonald JAK, Cameron S, Alexander-Hardiman K, David AL, Stock SJ, Norman JE, Terzidou V, Teoh TG, Sykes L, Bennett PR, Takats Z, MacIntyre DA. Direct on-swab metabolic profiling of vaginal microbiome host interactions during pregnancy and preterm birth. Nat Commun 2021; 12:5967. [PMID: 34645809 PMCID: PMC8514602 DOI: 10.1038/s41467-021-26215-w] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2021] [Accepted: 09/23/2021] [Indexed: 11/13/2022] Open
Abstract
The pregnancy vaginal microbiome contributes to risk of preterm birth, the primary cause of death in children under 5 years of age. Here we describe direct on-swab metabolic profiling by Desorption Electrospray Ionization Mass Spectrometry (DESI-MS) for sample preparation-free characterisation of the cervicovaginal metabolome in two independent pregnancy cohorts (VMET, n = 160; 455 swabs; VMET II, n = 205; 573 swabs). By integrating metataxonomics and immune profiling data from matched samples, we show that specific metabolome signatures can be used to robustly predict simultaneously both the composition of the vaginal microbiome and host inflammatory status. In these patients, vaginal microbiota instability and innate immune activation, as predicted using DESI-MS, associated with preterm birth, including in women receiving cervical cerclage for preterm birth prevention. These findings highlight direct on-swab metabolic profiling by DESI-MS as an innovative approach for preterm birth risk stratification through rapid assessment of vaginal microbiota-host dynamics.
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Affiliation(s)
- Pamela Pruski
- Division of Systems Medicine, Department of Metabolism, Digestion and Reproduction, Faculty of Medicine Imperial College London, London, UK
| | - Gonçalo D S Correia
- Division of Systems Medicine, Department of Metabolism, Digestion and Reproduction, Faculty of Medicine Imperial College London, London, UK
- National Phenome Centre, Imperial College London, London, UK
| | - Holly V Lewis
- March of Dimes Prematurity Research Centre at Imperial College London, London, UK
- Imperial College Parturition Research Group, Institute of Reproductive and Developmental Biology, Department of Metabolism, Digestion and Reproduction, Imperial College London, London, UK
- Queen Charlotte's & Chelsea Hospital, Imperial College London, London, UK
| | - Katia Capuccini
- March of Dimes Prematurity Research Centre at Imperial College London, London, UK
- Imperial College Parturition Research Group, Institute of Reproductive and Developmental Biology, Department of Metabolism, Digestion and Reproduction, Imperial College London, London, UK
| | - Paolo Inglese
- Division of Systems Medicine, Department of Metabolism, Digestion and Reproduction, Faculty of Medicine Imperial College London, London, UK
- National Phenome Centre, Imperial College London, London, UK
| | - Denise Chan
- March of Dimes Prematurity Research Centre at Imperial College London, London, UK
- Imperial College Parturition Research Group, Institute of Reproductive and Developmental Biology, Department of Metabolism, Digestion and Reproduction, Imperial College London, London, UK
- Queen Charlotte's & Chelsea Hospital, Imperial College London, London, UK
| | - Richard G Brown
- Imperial College Parturition Research Group, Institute of Reproductive and Developmental Biology, Department of Metabolism, Digestion and Reproduction, Imperial College London, London, UK
- Queen Charlotte's & Chelsea Hospital, Imperial College London, London, UK
| | - Lindsay Kindinger
- Imperial College Parturition Research Group, Institute of Reproductive and Developmental Biology, Department of Metabolism, Digestion and Reproduction, Imperial College London, London, UK
- Elizabeth Garrett Anderson Institute for Women's Health, University College London, London, UK
| | - Yun S Lee
- March of Dimes Prematurity Research Centre at Imperial College London, London, UK
- Imperial College Parturition Research Group, Institute of Reproductive and Developmental Biology, Department of Metabolism, Digestion and Reproduction, Imperial College London, London, UK
| | - Ann Smith
- Faculty of Health and Applied Sciences, University West of England, Bristol, UK
| | - Julian Marchesi
- Division of Systems Medicine, Department of Metabolism, Digestion and Reproduction, Faculty of Medicine Imperial College London, London, UK
- March of Dimes Prematurity Research Centre at Imperial College London, London, UK
| | - Julie A K McDonald
- MRC Centre for Molecular Bacteriology and Infection, Imperial College London, London, UK
| | - Simon Cameron
- Division of Systems Medicine, Department of Metabolism, Digestion and Reproduction, Faculty of Medicine Imperial College London, London, UK
- School of Biological Sciences, Institute for Global Food Security, Queen's University Belfast, Belfast, UK
| | - Kate Alexander-Hardiman
- Division of Systems Medicine, Department of Metabolism, Digestion and Reproduction, Faculty of Medicine Imperial College London, London, UK
| | - Anna L David
- Elizabeth Garrett Anderson Institute for Women's Health, University College London, London, UK
| | - Sarah J Stock
- MRC Centre for Reproductive Health, University of Edinburgh, Edinburgh, UK
| | - Jane E Norman
- MRC Centre for Reproductive Health, University of Edinburgh, Edinburgh, UK
- Faculty of Health Sciences, University of Bristol, Bristol, UK
| | - Vasso Terzidou
- March of Dimes Prematurity Research Centre at Imperial College London, London, UK
- Imperial College Parturition Research Group, Institute of Reproductive and Developmental Biology, Department of Metabolism, Digestion and Reproduction, Imperial College London, London, UK
- Chelsea & Westminster Hospital, NHS Trust, London, UK
| | - T G Teoh
- St Mary's Hospital, Imperial College Healthcare NHS Trust, London, UK
| | - Lynne Sykes
- March of Dimes Prematurity Research Centre at Imperial College London, London, UK
- Imperial College Parturition Research Group, Institute of Reproductive and Developmental Biology, Department of Metabolism, Digestion and Reproduction, Imperial College London, London, UK
- Queen Charlotte's & Chelsea Hospital, Imperial College London, London, UK
| | - Phillip R Bennett
- March of Dimes Prematurity Research Centre at Imperial College London, London, UK
- Imperial College Parturition Research Group, Institute of Reproductive and Developmental Biology, Department of Metabolism, Digestion and Reproduction, Imperial College London, London, UK
- Queen Charlotte's & Chelsea Hospital, Imperial College London, London, UK
- Tommy's National Centre for Miscarriage Research, Imperial College London, London, UK
| | - Zoltan Takats
- Division of Systems Medicine, Department of Metabolism, Digestion and Reproduction, Faculty of Medicine Imperial College London, London, UK.
- National Phenome Centre, Imperial College London, London, UK.
- March of Dimes Prematurity Research Centre at Imperial College London, London, UK.
| | - David A MacIntyre
- March of Dimes Prematurity Research Centre at Imperial College London, London, UK.
- Imperial College Parturition Research Group, Institute of Reproductive and Developmental Biology, Department of Metabolism, Digestion and Reproduction, Imperial College London, London, UK.
- Tommy's National Centre for Miscarriage Research, Imperial College London, London, UK.
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5
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Wolfer AM, Correia GDS, Sands CJ, Camuzeaux S, Yuen AHY, Chekmeneva E, Takáts Z, Pearce JTM, Lewis MR. peakPantheR, an R package for large-scale targeted extraction and integration of annotated metabolic features in LC-MS profiling datasets. Bioinformatics 2021; 37:4886-4888. [PMID: 34125879 PMCID: PMC8665750 DOI: 10.1093/bioinformatics/btab433] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2020] [Revised: 04/09/2021] [Accepted: 06/12/2021] [Indexed: 11/12/2022] Open
Abstract
Untargeted LC-MS profiling assays are capable of measuring thousands of chemical compounds in a single sample, but unreliable feature extraction and metabolite identification remain considerable barriers to their interpretation and usefulness. peakPantheR (Peak Picking and ANnoTation of High-resolution Experiments in R) is an R package for the targeted extraction and integration of annotated features from LC-MS profiling experiments. It takes advantage of chromatographic and spectral databases and prior information of sample matrix composition to generate annotated and interpretable metabolic phenotypic datasets and power workflows for real time data quality assessment. AVAILABILITY peakPantheR is available via Bioconductor (https://bioconductor.org/packages/peakPantheR/). Documentation and worked examples are available at https://phenomecentre.github.io/peakPantheR.github.io/ and https://github.com/phenomecentre/metabotyping-dementia-urine. SUPPLEMENTARY INFORMATION Supplementary data are available at Bioinformatics online.
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Affiliation(s)
- Arnaud M Wolfer
- National Phenome Centre, Department of Metabolism, Digestion and Reproduction, Imperial College London, Hammersmith Campus, IRDB Building, London, UK.,Roche Pharma Research and Early Development, pRED Informatics, Roche Innovation Center Basel, F. Hoffmann-La Roche Ltd, Basel, Switzerland
| | - Gonçalo D S Correia
- National Phenome Centre, Department of Metabolism, Digestion and Reproduction, Imperial College London, Hammersmith Campus, IRDB Building, London, UK.,Section of Bioanalytical Chemistry, Department of Metabolism, Digestion and Reproduction, Imperial College London, South Kensington Campus, London, UK
| | - Caroline J Sands
- National Phenome Centre, Department of Metabolism, Digestion and Reproduction, Imperial College London, Hammersmith Campus, IRDB Building, London, UK.,Section of Bioanalytical Chemistry, Department of Metabolism, Digestion and Reproduction, Imperial College London, South Kensington Campus, London, UK
| | - Stephane Camuzeaux
- National Phenome Centre, Department of Metabolism, Digestion and Reproduction, Imperial College London, Hammersmith Campus, IRDB Building, London, UK.,Section of Bioanalytical Chemistry, Department of Metabolism, Digestion and Reproduction, Imperial College London, South Kensington Campus, London, UK
| | - Ada H Y Yuen
- National Phenome Centre, Department of Metabolism, Digestion and Reproduction, Imperial College London, Hammersmith Campus, IRDB Building, London, UK.,Section of Bioanalytical Chemistry, Department of Metabolism, Digestion and Reproduction, Imperial College London, South Kensington Campus, London, UK
| | - Elena Chekmeneva
- National Phenome Centre, Department of Metabolism, Digestion and Reproduction, Imperial College London, Hammersmith Campus, IRDB Building, London, UK.,Section of Bioanalytical Chemistry, Department of Metabolism, Digestion and Reproduction, Imperial College London, South Kensington Campus, London, UK
| | - Zoltán Takáts
- National Phenome Centre, Department of Metabolism, Digestion and Reproduction, Imperial College London, Hammersmith Campus, IRDB Building, London, UK.,Section of Bioanalytical Chemistry, Department of Metabolism, Digestion and Reproduction, Imperial College London, South Kensington Campus, London, UK
| | - Jake T M Pearce
- National Phenome Centre, Department of Metabolism, Digestion and Reproduction, Imperial College London, Hammersmith Campus, IRDB Building, London, UK
| | - Matthew R Lewis
- National Phenome Centre, Department of Metabolism, Digestion and Reproduction, Imperial College London, Hammersmith Campus, IRDB Building, London, UK.,Section of Bioanalytical Chemistry, Department of Metabolism, Digestion and Reproduction, Imperial College London, South Kensington Campus, London, UK
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6
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Sands CJ, Wolfer AM, Correia GDS, Sadawi N, Ahmed A, Jiménez B, Lewis MR, Glen RC, Nicholson JK, Pearce JTM. The nPYc-Toolbox, a Python module for the pre-processing, quality-control and analysis of metabolic profiling datasets. Bioinformatics 2019; 35:5359-5360. [PMID: 31350543 PMCID: PMC6954639 DOI: 10.1093/bioinformatics/btz566] [Citation(s) in RCA: 25] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2019] [Revised: 06/18/2019] [Accepted: 07/19/2019] [Indexed: 12/24/2022] Open
Abstract
SUMMARY As large-scale metabolic phenotyping studies become increasingly common, the need for systemic methods for pre-processing and quality control (QC) of analytical data prior to statistical analysis has become increasingly important, both within a study, and to allow meaningful inter-study comparisons. The nPYc-Toolbox provides software for the import, pre-processing, QC and visualization of metabolic phenotyping datasets, either interactively, or in automated pipelines. AVAILABILITY AND IMPLEMENTATION The nPYc-Toolbox is implemented in Python, and is freely available from the Python package index https://pypi.org/project/nPYc/, source is available at https://github.com/phenomecentre/nPYc-Toolbox. Full documentation can be found at http://npyc-toolbox.readthedocs.io/ and exemplar datasets and tutorials at https://github.com/phenomecentre/nPYc-toolbox-tutorials.
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Affiliation(s)
- Caroline J Sands
- National Phenome Centre and Imperial Clinical Phenotyping Centre, Department of Surgery & Cancer, Imperial College London, London, UK
| | - Arnaud M Wolfer
- National Phenome Centre and Imperial Clinical Phenotyping Centre, Department of Surgery & Cancer, Imperial College London, London, UK
| | - Gonçalo D S Correia
- National Phenome Centre and Imperial Clinical Phenotyping Centre, Department of Surgery & Cancer, Imperial College London, London, UK
| | - Noureddin Sadawi
- Division of Integrative Systems Medicine and Digestive Diseases, Department of Surgery & Cancer, Imperial College London, South Kensington, London, UK
| | - Arfan Ahmed
- National Phenome Centre and Imperial Clinical Phenotyping Centre, Department of Surgery & Cancer, Imperial College London, London, UK
| | - Beatriz Jiménez
- National Phenome Centre and Imperial Clinical Phenotyping Centre, Department of Surgery & Cancer, Imperial College London, London, UK
- Division of Integrative Systems Medicine and Digestive Diseases, Department of Surgery & Cancer, Imperial College London, South Kensington, London, UK
| | - Matthew R Lewis
- National Phenome Centre and Imperial Clinical Phenotyping Centre, Department of Surgery & Cancer, Imperial College London, London, UK
- Division of Integrative Systems Medicine and Digestive Diseases, Department of Surgery & Cancer, Imperial College London, South Kensington, London, UK
| | - Robert C Glen
- Division of Integrative Systems Medicine and Digestive Diseases, Department of Surgery & Cancer, Imperial College London, South Kensington, London, UK
| | - Jeremy K Nicholson
- National Phenome Centre and Imperial Clinical Phenotyping Centre, Department of Surgery & Cancer, Imperial College London, London, UK
- Division of Integrative Systems Medicine and Digestive Diseases, Department of Surgery & Cancer, Imperial College London, South Kensington, London, UK
| | - Jake T M Pearce
- National Phenome Centre and Imperial Clinical Phenotyping Centre, Department of Surgery & Cancer, Imperial College London, London, UK
- Division of Integrative Systems Medicine and Digestive Diseases, Department of Surgery & Cancer, Imperial College London, South Kensington, London, UK
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Pruski P, MacIntyre DA, Lewis HV, Inglese P, Correia GDS, Hansel TT, Bennett PR, Holmes E, Takats Z. Medical Swab Analysis Using Desorption Electrospray Ionization Mass Spectrometry: A Noninvasive Approach for Mucosal Diagnostics. Anal Chem 2017; 89:1540-1550. [PMID: 28208268 DOI: 10.1021/acs.analchem.6b03405] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
Medical swabs are routinely used worldwide to sample human mucosa for microbiological screening with culture methods. These are usually time-consuming and have a narrow focus on screening for particular microorganism species. As an alternative, direct mass spectrometric profiling of the mucosal metabolome provides a broader window into the mucosal ecosystem. We present for the first time a minimal effort/minimal-disruption technique for augmenting the information obtained from clinical swab analysis with mucosal metabolome profiling using desorption electrospray ionization mass spectrometry (DESI-MS) analysis. Ionization of mucosal biomass occurs directly from a standard rayon swab mounted on a rotating device and analyzed by DESI MS using an optimized protocol considering swab-inlet geometry, tip-sample angles and distances, rotation speeds, and reproducibility. Multivariate modeling of mass spectral fingerprints obtained in this way readily discriminate between different mucosal surfaces and display the ability to characterize biochemical alterations induced by pregnancy and bacterial vaginosis (BV). The method was also applied directly to bacterial biomass to confirm the ability to detect intact bacterial species from a swab. These results highlight the potential of direct swab analysis by DESI-MS for a wide range of clinical applications including rapid mucosal diagnostics for microbiology, immune responses, and biochemistry.
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Affiliation(s)
- Pamela Pruski
- Computational and Systems Medicine, Imperial College London , South Kensington Campus, London, SW7 2AZ, United Kingdom
| | - David A MacIntyre
- Imperial College Parturition Research Group, Institute of Reproductive and Developmental Biology, Imperial College London , London, W12 0NN, United Kingdom
| | - Holly V Lewis
- Imperial College Parturition Research Group, Institute of Reproductive and Developmental Biology, Imperial College London , London, W12 0NN, United Kingdom
| | - Paolo Inglese
- Computational and Systems Medicine, Imperial College London , South Kensington Campus, London, SW7 2AZ, United Kingdom
| | - Gonçalo D S Correia
- Computational and Systems Medicine, Imperial College London , South Kensington Campus, London, SW7 2AZ, United Kingdom
| | - Trevor T Hansel
- Imperial Clinical Respiratory Research Unit (ICRRU), St Mary's Hospital, Mint Wing, Imperial College London , London, W2 INY, United Kingdom
| | - Phillip R Bennett
- Imperial College Parturition Research Group, Institute of Reproductive and Developmental Biology, Imperial College London , London, W12 0NN, United Kingdom
| | - Elaine Holmes
- Computational and Systems Medicine, Imperial College London , South Kensington Campus, London, SW7 2AZ, United Kingdom
| | - Zoltan Takats
- Computational and Systems Medicine, Imperial College London , South Kensington Campus, London, SW7 2AZ, United Kingdom
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