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George AC, Schmitz I, Colsch B, Afonso C, Fenaille F, Loutelier-Bourhis C. Impact of Source Conditions on Collision Cross Section Determination by Trapped Ion Mobility Spectrometry. JOURNAL OF THE AMERICAN SOCIETY FOR MASS SPECTROMETRY 2024; 35:696-704. [PMID: 38430122 DOI: 10.1021/jasms.3c00361] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/03/2024]
Abstract
Collision cross section (CCS) values determined in ion mobility-mass spectrometry (IM-MS) are increasingly employed as additional descriptors in metabolomics studies. CCS values must therefore be reproducible and the causes of deviations must be carefully known and controlled. Here, we analyzed lipid standards by trapped ion mobility spectrometry-mass spectrometry (TIMS-MS) to evaluate the effects of solvent and flow rate in flow injection analysis (FIA), as well as electrospray source parameters including nebulizer gas pressure, drying gas flow rate, and temperature, on the ion mobility and CCS values. The stability of ion mobility experiments was studied over 10 h, which established the need for a delay-time of 20 min to stabilize source parameters (mostly pressure and temperature). Modifications of electrospray source parameters induced shifts of ion mobility peaks and even the occurrence of an additional peak in the ion mobility spectra. This behavior could be essentially explained by ion-solvent cluster formation. Changes in source parameters were also found to impact CCS value measurements, resulting in deviations up to 0.8%. However, internal calibration with the Tune Mix calibrant reduced the CCS deviations to 0.1%. Thus, optimization of source parameters is essential to achieve a good desolvation of lipid ions and avoid misinterpretation of peaks in ion mobility spectra due to solvent effects. This work highlights the importance of internal calibration to ensure interoperable CCS values, usable in metabolomics annotation.
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Affiliation(s)
- Anaïs C George
- Univ Rouen Normandie, INSA Rouen Normandie, CNRS, Normandie Univ, COBRA UMR 6014, INC3M FR 3038, F-76000 Rouen, France
| | - Isabelle Schmitz
- Univ Rouen Normandie, INSA Rouen Normandie, CNRS, Normandie Univ, COBRA UMR 6014, INC3M FR 3038, F-76000 Rouen, France
| | - Benoit Colsch
- Département Médicaments et Technologies pour la Santé (DMTS), MetaboHUB, Université Paris-Saclay, CEA, INRAE, F-91191 Gif sur Yvette, France
| | - Carlos Afonso
- Univ Rouen Normandie, INSA Rouen Normandie, CNRS, Normandie Univ, COBRA UMR 6014, INC3M FR 3038, F-76000 Rouen, France
| | - François Fenaille
- Département Médicaments et Technologies pour la Santé (DMTS), MetaboHUB, Université Paris-Saclay, CEA, INRAE, F-91191 Gif sur Yvette, France
| | - Corinne Loutelier-Bourhis
- Univ Rouen Normandie, INSA Rouen Normandie, CNRS, Normandie Univ, COBRA UMR 6014, INC3M FR 3038, F-76000 Rouen, France
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Lenski M, Zarcone G, Maallem S, Garçon G, Lo-Guidice JM, Allorge D, Anthérieu S. Metabolomics Provides Novel Insights into the Potential Toxicity Associated with Heated Tobacco Products, Electronic Cigarettes, and Tobacco Cigarettes on Human Bronchial Epithelial BEAS-2B Cells. TOXICS 2024; 12:128. [PMID: 38393223 PMCID: PMC10893046 DOI: 10.3390/toxics12020128] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/20/2023] [Revised: 01/24/2024] [Accepted: 01/30/2024] [Indexed: 02/25/2024]
Abstract
Smoking is an established risk factor for various pathologies including lung cancer. Electronic cigarettes (e-cigs) and heated tobacco products (HTPs) have appeared on the market in recent years, but their safety or, conversely, their toxicity has not yet been demonstrated. This study aimed to compare the metabolome of human lung epithelial cells exposed to emissions of e-cigs, HTPs, or 3R4F cigarettes in order to highlight potential early markers of toxicity. BEAS-2B cells were cultured at the air-liquid interface and exposed to short-term emissions from e-cigs set up at low or medium power, HTPs, or 3R4F cigarettes. Untargeted metabolomic analyses were performed using liquid chromatography coupled with mass spectrometry. Compared to unexposed cells, both 3R4F cigarette and HTP emissions affected the profiles of exogenous compounds, one of which is carcinogenic, as well as those of endogenous metabolites from various pathways including oxidative stress, energy metabolism, and lipid metabolism. However, these effects were observed at lower doses for cigarettes (2 and 4 puffs) than for HTPs (60 and 120 puffs). No difference was observed after e-cig exposure, regardless of the power conditions. These results suggest a lower acute toxicity of e-cig emissions compared to cigarettes and HTPs in BEAS-2B cells. The pathways deregulated by HTP emissions are also described to be altered in respiratory diseases, emphasizing that the toxicity of HTPs should not be underestimated.
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Affiliation(s)
- Marie Lenski
- Univ. Lille, CHU Lille, Institut Pasteur de Lille, ULR 4483, IMPECS—IMPact de l’Environnement Chimique sur la Santé Humaine, F-59000 Lille, France; (M.L.); (G.Z.); (S.M.); (G.G.); (J.-M.L.-G.); (D.A.)
- CHU Lille, Unité Fonctionnelle de Toxicologie, F-59037 Lille, France
| | - Gianni Zarcone
- Univ. Lille, CHU Lille, Institut Pasteur de Lille, ULR 4483, IMPECS—IMPact de l’Environnement Chimique sur la Santé Humaine, F-59000 Lille, France; (M.L.); (G.Z.); (S.M.); (G.G.); (J.-M.L.-G.); (D.A.)
| | - Saïd Maallem
- Univ. Lille, CHU Lille, Institut Pasteur de Lille, ULR 4483, IMPECS—IMPact de l’Environnement Chimique sur la Santé Humaine, F-59000 Lille, France; (M.L.); (G.Z.); (S.M.); (G.G.); (J.-M.L.-G.); (D.A.)
| | - Guillaume Garçon
- Univ. Lille, CHU Lille, Institut Pasteur de Lille, ULR 4483, IMPECS—IMPact de l’Environnement Chimique sur la Santé Humaine, F-59000 Lille, France; (M.L.); (G.Z.); (S.M.); (G.G.); (J.-M.L.-G.); (D.A.)
| | - Jean-Marc Lo-Guidice
- Univ. Lille, CHU Lille, Institut Pasteur de Lille, ULR 4483, IMPECS—IMPact de l’Environnement Chimique sur la Santé Humaine, F-59000 Lille, France; (M.L.); (G.Z.); (S.M.); (G.G.); (J.-M.L.-G.); (D.A.)
| | - Delphine Allorge
- Univ. Lille, CHU Lille, Institut Pasteur de Lille, ULR 4483, IMPECS—IMPact de l’Environnement Chimique sur la Santé Humaine, F-59000 Lille, France; (M.L.); (G.Z.); (S.M.); (G.G.); (J.-M.L.-G.); (D.A.)
- CHU Lille, Unité Fonctionnelle de Toxicologie, F-59037 Lille, France
| | - Sébastien Anthérieu
- Univ. Lille, CHU Lille, Institut Pasteur de Lille, ULR 4483, IMPECS—IMPact de l’Environnement Chimique sur la Santé Humaine, F-59000 Lille, France; (M.L.); (G.Z.); (S.M.); (G.G.); (J.-M.L.-G.); (D.A.)
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Mu H, Yang Z, Chen L, Gu C, Ren H, Wu B. Suspect and nontarget screening of per- and polyfluoroalkyl substances based on ion mobility mass spectrometry and machine learning techniques. JOURNAL OF HAZARDOUS MATERIALS 2024; 461:132669. [PMID: 37797577 DOI: 10.1016/j.jhazmat.2023.132669] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/31/2023] [Revised: 09/13/2023] [Accepted: 09/27/2023] [Indexed: 10/07/2023]
Abstract
High-resolution mass spectrometry (HRMS)-based suspect and nontarget screening techniques are powerful tools for the comprehensive identification of per- and polyfluoroalkyl substances (PFASs), but the interference of complex matrices (especially for wastewater) pose an analytical challenge. This study explored the potential of combining ion mobility spectrometry (IMS) with HRMS and machine learning techniques to achieve the rapid and accurate suspect and nontarget screening of PFAS in wastewater. There were fewer interfering peaks and a clearer spectrum in the data acquired by IMS-HRMS than conventional HRMS. The introduction of collision cross section (CCS) in PFAS homologous series search could filter out 63% of false positive results. Retention time and CCS prediction models were helpful in improving the confidence for PFAS qualitative identification and the random forest algorithm combined with RDKit descriptor performed best for CCS prediction. With the inclusion of extra dimensional information, this study also proposed a comprehensive and concise confidence assignment criterion to better convey the certainty of the qualitative identification of PFAS. Finally, a total of 56 potential PFASs were identified in the wastewater sample using the newly developed method and 45 of them were identified outside reference standards, emphasizing the importance of suspect and nontarget screening for PFAS.
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Affiliation(s)
- Hongxin Mu
- State Key Laboratory of Pollution Control and Resource Reuse, School of Environment, Nanjing University, Nanjing 210023, PR China
| | - Zhongchao Yang
- State Key Laboratory of Pollution Control and Resource Reuse, School of Environment, Nanjing University, Nanjing 210023, PR China
| | - Ling Chen
- State Key Laboratory of Pollution Control and Resource Reuse, School of Environment, Nanjing University, Nanjing 210023, PR China
| | - Cheng Gu
- State Key Laboratory of Pollution Control and Resource Reuse, School of Environment, Nanjing University, Nanjing 210023, PR China
| | - Hongqiang Ren
- State Key Laboratory of Pollution Control and Resource Reuse, School of Environment, Nanjing University, Nanjing 210023, PR China
| | - Bing Wu
- State Key Laboratory of Pollution Control and Resource Reuse, School of Environment, Nanjing University, Nanjing 210023, PR China.
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Wan H, Wang W, Liu J, Zhang Y, Yang B, Hua R, Chen H, Chen S, Hua Q. Cochlear metabolomics, highlighting novel insights of purine metabolic alterations in age-related hearing loss. Hear Res 2023; 440:108913. [PMID: 37939412 DOI: 10.1016/j.heares.2023.108913] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/29/2023] [Revised: 09/29/2023] [Accepted: 11/02/2023] [Indexed: 11/10/2023]
Abstract
Aging is an inevitable phase in mammals that leads to health impairments, including hearing loss. Age-related hearing loss (AHL) leads to psychosocial problems and cognitive decline in the elderly. In this study, mean thresholds of auditory brainstem responses (ABR) and distortion-product otoacoustic emissions (DPOAE) increased at multiple frequencies in aged rats (14 months old) compared to young rats (2 months old). Using untargeted ultra-high performance liquid chromatography-mass spectroscopy (LC-MS), we quantified molecular metabolic markers in the cochlea of aged rats with hearing loss. A total of 137 different metabolites were identified in two groups, highlighting several prominent metabolic pathways related to purine metabolism; glycine, serine, and threonine metabolism; arginine and proline metabolism; and pyrimidine metabolism. In addition, the beneficial effects of purine supplementation were demonstrated in a mimetic model of senescent marginal cells (MCs). Overall, altered metabolic profiling is both the cause and manifestation of pathology, and our results suggest that cellular senescence and dysfunctional cochlear metabolism may contribute to the progression of AHL. These findings are seminal in elucidating the pathophysiological mechanisms underlying AHL and serve as a basis for future clinical predictions and interventions in AHL.
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Affiliation(s)
- Huanzhi Wan
- Department of Otolaryngology-Head and Neck Surgery, Renmin Hospital of Wuhan University, Wuhan 430060, Hubei Province, People's Republic of China; Research Institute of Otolaryngology-Head and Neck Surgery, Wuhan University, Wuhan 430060, Hubei Province, People's Republic of China; The First Clinical School of Wuhan University, Wuhan 430060, Hubei Province, People's Republic of China
| | - Wenjing Wang
- Department of Otolaryngology-Head and Neck Surgery, Renmin Hospital of Wuhan University, Wuhan 430060, Hubei Province, People's Republic of China; Research Institute of Otolaryngology-Head and Neck Surgery, Wuhan University, Wuhan 430060, Hubei Province, People's Republic of China; The First Clinical School of Wuhan University, Wuhan 430060, Hubei Province, People's Republic of China
| | - Jingchun Liu
- The First Clinical School of Wuhan University, Wuhan 430060, Hubei Province, People's Republic of China
| | - Yunlong Zhang
- Research Institute of Otolaryngology-Head and Neck Surgery, Wuhan University, Wuhan 430060, Hubei Province, People's Republic of China; The First Clinical School of Wuhan University, Wuhan 430060, Hubei Province, People's Republic of China
| | - Bingqian Yang
- Department of Otolaryngology-Head and Neck Surgery, Renmin Hospital of Wuhan University, Wuhan 430060, Hubei Province, People's Republic of China; Research Institute of Otolaryngology-Head and Neck Surgery, Wuhan University, Wuhan 430060, Hubei Province, People's Republic of China; The First Clinical School of Wuhan University, Wuhan 430060, Hubei Province, People's Republic of China
| | - Rongkai Hua
- Department of Otolaryngology-Head and Neck Surgery, Renmin Hospital of Wuhan University, Wuhan 430060, Hubei Province, People's Republic of China; Research Institute of Otolaryngology-Head and Neck Surgery, Wuhan University, Wuhan 430060, Hubei Province, People's Republic of China; The First Clinical School of Wuhan University, Wuhan 430060, Hubei Province, People's Republic of China
| | - Huidong Chen
- Department of Otolaryngology-Head and Neck Surgery, Renmin Hospital of Wuhan University, Wuhan 430060, Hubei Province, People's Republic of China; Research Institute of Otolaryngology-Head and Neck Surgery, Wuhan University, Wuhan 430060, Hubei Province, People's Republic of China; The First Clinical School of Wuhan University, Wuhan 430060, Hubei Province, People's Republic of China
| | - Shiming Chen
- Department of Otolaryngology-Head and Neck Surgery, Renmin Hospital of Wuhan University, Wuhan 430060, Hubei Province, People's Republic of China; Research Institute of Otolaryngology-Head and Neck Surgery, Wuhan University, Wuhan 430060, Hubei Province, People's Republic of China.
| | - Qingquan Hua
- Department of Otolaryngology-Head and Neck Surgery, Renmin Hospital of Wuhan University, Wuhan 430060, Hubei Province, People's Republic of China; Research Institute of Otolaryngology-Head and Neck Surgery, Wuhan University, Wuhan 430060, Hubei Province, People's Republic of China.
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Kartowikromo KY, Olajide OE, Hamid AM. Collision cross section measurement and prediction methods in omics. JOURNAL OF MASS SPECTROMETRY : JMS 2023; 58:e4973. [PMID: 37620034 PMCID: PMC10530098 DOI: 10.1002/jms.4973] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/19/2023] [Revised: 06/26/2023] [Accepted: 07/20/2023] [Indexed: 08/26/2023]
Abstract
Omics studies such as metabolomics, lipidomics, and proteomics have become important for understanding the mechanisms in living organisms. However, the compounds detected are structurally different and contain isomers, with each structure or isomer leading to a different result in terms of the role they play in the cell or tissue in the organism. Therefore, it is important to detect, characterize, and elucidate the structures of these compounds. Liquid chromatography and mass spectrometry have been utilized for decades in the structure elucidation of key compounds. While prediction models of parameters (such as retention time and fragmentation pattern) have also been developed for these separation techniques, they have some limitations. Moreover, ion mobility has become one of the most promising techniques to give a fingerprint to these compounds by determining their collision cross section (CCS) values, which reflect their shape and size. Obtaining accurate CCS enables its use as a filter for potential analyte structures. These CCS values can be measured experimentally using calibrant-independent and calibrant-dependent approaches. Identification of compounds based on experimental CCS values in untargeted analysis typically requires CCS references from standards, which are currently limited and, if available, would require a large amount of time for experimental measurements. Therefore, researchers use theoretical tools to predict CCS values for untargeted and targeted analysis. In this review, an overview of the different methods for the experimental and theoretical estimation of CCS values is given where theoretical prediction tools include computational and machine modeling type approaches. Moreover, the limitations of the current experimental and theoretical approaches and their potential mitigation methods were discussed.
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Affiliation(s)
| | - Orobola E Olajide
- Department of Chemistry and Biochemistry, Auburn University, Auburn, Alabama, USA
| | - Ahmed M Hamid
- Department of Chemistry and Biochemistry, Auburn University, Auburn, Alabama, USA
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