Response of human metabolism to ultra-low and high nicotine cigarettes based on urine metabolomics and bioinformatic analysis
Introduction This study aimed to evaluate the metabolomic profiles of urine samples obtained from smokers who smoked cigarettes with low and high nicotine content. Methods Three smokers participated in this study. They were given low-nicotine (LN) cigarettes, and urine was collected at the end of t...
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| Format: | Article |
| Language: | English |
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European Publishing
2024-12-01
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| Series: | Tobacco Induced Diseases |
| Subjects: | |
| Online Access: | https://www.tobaccoinduceddiseases.org/Response-of-human-metabolism-to-ultra-low-and-high-nicotine-cigarettes-based-on-urine,196677,0,2.html |
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| _version_ | 1846099235993288704 |
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| author | Mengyue Zhang Chunting Yang Lingling Gao Yuanyuan Zhao Hongzhi Shi |
| author_facet | Mengyue Zhang Chunting Yang Lingling Gao Yuanyuan Zhao Hongzhi Shi |
| author_sort | Mengyue Zhang |
| collection | DOAJ |
| description | Introduction
This study aimed to evaluate the metabolomic profiles of urine samples
obtained from smokers who smoked cigarettes with low and high nicotine content.
Methods
Three smokers participated in this study. They were given low-nicotine
(LN) cigarettes, and urine was collected at the end of the third day for the
LN group. After 1 week of not smoking, they were given high-nicotine (HN)
cigarettes, and urine was collected for the HN group. Untargeted metabolomics
and bioinformatic analysis methods were used for urine analysis.
Results
PCA showed a high degree of similarity between samples within the group
and a large distance between samples between groups, indicating a significant
difference between the two groups. A total of 1150 significantly differential
metabolites were selected between the HN and LN groups, such as cotinine
and 4-(methylnitrosamino)-1-(3-pyridyl)-1-butanol-N-glucuronide. Two-way
hierarchical clustering analysis also suggested noticeable differences between
the two comparison groups Enrichment analysis indicates that the differential
metabolites between the two groups were mainly enriched in 19 pathways, such
as the protein kinase G (cGMP)-protein kinase G (PKG) signaling pathway,
adenosine monophosphate (AMP)-activated protein kinase signaling pathway,
mammalian target of rapamycin signaling pathway, and Parkinson’s disease.
Conclusions
Cigarettes with different nicotine content may alter the metabolism
of smokers. A total of 1150 significantly different metabolites were identified
between the HN and LN groups, which were mainly enriched in ABC transporters,
protein kinase G (cGMP)-protein kinase G (PKG) signaling pathway, caffeine
metabolism, and arginine biosynthesis pathways. |
| format | Article |
| id | doaj-art-35b641be599343069fb5ded21693d4d0 |
| institution | Kabale University |
| issn | 1617-9625 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | European Publishing |
| record_format | Article |
| series | Tobacco Induced Diseases |
| spelling | doaj-art-35b641be599343069fb5ded21693d4d02024-12-31T20:04:00ZengEuropean PublishingTobacco Induced Diseases1617-96252024-12-0122December11110.18332/tid/196677196677Response of human metabolism to ultra-low and high nicotine cigarettes based on urine metabolomics and bioinformatic analysisMengyue Zhang0Chunting Yang1Lingling Gao2Yuanyuan Zhao3Hongzhi Shi4https://orcid.org/0000-0002-2400-0721College of Tobacco Science, Henan Agricultural University, Zhengzhou, ChinaCollege of Tobacco Science, Henan Agricultural University, Zhengzhou, ChinaHenan Academy of Agricultural Sciences, Zhengzhou, ChinaCollege of Tobacco Science, Henan Agricultural University, Zhengzhou, ChinaCollege of Tobacco Science, Henan Agricultural University, Zhengzhou, ChinaIntroduction This study aimed to evaluate the metabolomic profiles of urine samples obtained from smokers who smoked cigarettes with low and high nicotine content. Methods Three smokers participated in this study. They were given low-nicotine (LN) cigarettes, and urine was collected at the end of the third day for the LN group. After 1 week of not smoking, they were given high-nicotine (HN) cigarettes, and urine was collected for the HN group. Untargeted metabolomics and bioinformatic analysis methods were used for urine analysis. Results PCA showed a high degree of similarity between samples within the group and a large distance between samples between groups, indicating a significant difference between the two groups. A total of 1150 significantly differential metabolites were selected between the HN and LN groups, such as cotinine and 4-(methylnitrosamino)-1-(3-pyridyl)-1-butanol-N-glucuronide. Two-way hierarchical clustering analysis also suggested noticeable differences between the two comparison groups Enrichment analysis indicates that the differential metabolites between the two groups were mainly enriched in 19 pathways, such as the protein kinase G (cGMP)-protein kinase G (PKG) signaling pathway, adenosine monophosphate (AMP)-activated protein kinase signaling pathway, mammalian target of rapamycin signaling pathway, and Parkinson’s disease. Conclusions Cigarettes with different nicotine content may alter the metabolism of smokers. A total of 1150 significantly different metabolites were identified between the HN and LN groups, which were mainly enriched in ABC transporters, protein kinase G (cGMP)-protein kinase G (PKG) signaling pathway, caffeine metabolism, and arginine biosynthesis pathways.https://www.tobaccoinduceddiseases.org/Response-of-human-metabolism-to-ultra-low-and-high-nicotine-cigarettes-based-on-urine,196677,0,2.htmlcigarettenicotineuntargeted metabolomicsbioinformatics |
| spellingShingle | Mengyue Zhang Chunting Yang Lingling Gao Yuanyuan Zhao Hongzhi Shi Response of human metabolism to ultra-low and high nicotine cigarettes based on urine metabolomics and bioinformatic analysis Tobacco Induced Diseases cigarette nicotine untargeted metabolomics bioinformatics |
| title | Response of human metabolism to ultra-low and high nicotine cigarettes based on urine metabolomics and bioinformatic analysis |
| title_full | Response of human metabolism to ultra-low and high nicotine cigarettes based on urine metabolomics and bioinformatic analysis |
| title_fullStr | Response of human metabolism to ultra-low and high nicotine cigarettes based on urine metabolomics and bioinformatic analysis |
| title_full_unstemmed | Response of human metabolism to ultra-low and high nicotine cigarettes based on urine metabolomics and bioinformatic analysis |
| title_short | Response of human metabolism to ultra-low and high nicotine cigarettes based on urine metabolomics and bioinformatic analysis |
| title_sort | response of human metabolism to ultra low and high nicotine cigarettes based on urine metabolomics and bioinformatic analysis |
| topic | cigarette nicotine untargeted metabolomics bioinformatics |
| url | https://www.tobaccoinduceddiseases.org/Response-of-human-metabolism-to-ultra-low-and-high-nicotine-cigarettes-based-on-urine,196677,0,2.html |
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