The microbiome diversifiesN-acyl lipid pools - including short-chain fatty acid-derived compounds Article Swipe
YOU?
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· 2024
· Open Access
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· DOI: https://doi.org/10.1101/2024.10.31.621412
N -acyl lipids are important mediators of several biological processes including immune function and stress response. To enhance the detection of N -acyl lipids with untargeted mass spectrometry-based metabolomics, we created a reference spectral library retrieving N -acyl lipid patterns from 2,700 public datasets, identifying 851 N -acyl lipids that were detected 356,542 times. 777 are not documented in lipid structural databases, with 18% of these derived from short-chain fatty acids and found in the digestive tract and other organs. Their levels varied with diet, microbial colonization, and in people living with diabetes. We used the library to link microbial N -acyl lipids, including histamine and polyamine conjugates, to HIV status and cognitive impairment. This resource will enhance the annotation of these compounds in future studies to further the understanding of their roles in health and disease and highlight the value of large-scale untargeted metabolomics data for metabolite discovery.
Related Topics
- Type
- preprint
- Language
- en
- Landing Page
- https://doi.org/10.1101/2024.10.31.621412
- https://www.biorxiv.org/content/biorxiv/early/2024/11/03/2024.10.31.621412.full.pdf
- OA Status
- green
- Cited By
- 5
- References
- 119
- Related Works
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- OpenAlex ID
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Raw OpenAlex JSON
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https://openalex.org/W4404012548Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1101/2024.10.31.621412Digital Object Identifier
- Title
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The microbiome diversifiesN-acyl lipid pools - including short-chain fatty acid-derived compoundsWork title
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preprintOpenAlex work type
- Language
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enPrimary language
- Publication year
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2024Year of publication
- Publication date
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2024-11-03Full publication date if available
- Authors
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Helena Mannochio-Russo, Vincent Charron‐Lamoureux, Martijn van Faassen, Santosh Lamichhane, Wilhan Donizete Gonçalves Nunes, Victoria Deleray, Abubaker Patan, Kyle Vittali, Prajit Rajkumar, Yasin El Abiead, Haoqi Nina Zhao, Paulo Wender Portal Gomes, Ipsita Mohanty, Carlynda Lee, Aidan Sund, Mahima Sharma, Yuanhao Liu, David Pattynama, G. Walker, Grant J. Norton, Lora Khatib, Mohammad Sobhan Sheikh Andalibi, Crystal X. Wang, Ronald J. Ellis, David J. Moore, Jennifer E. Iudicello, Donald Franklin, Scott Letendre, Loryn Chin, Corinn Walker, Simone Renwick, Jasmine Zemlin, Michael J. Meehan, Xinyang Song, Dennis L. Kasper, Zachary M. Burcham, Jane J. Kim, Sejal Kadakia, Manuela Raffatellu, Lars Bode, Karsten Zengler, Mingxun Wang, Dionicio Siegel, Rob Knight, Pieter C. DorresteinList of authors in order
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https://www.biorxiv.org/content/biorxiv/early/2024/11/03/2024.10.31.621412.full.pdfDirect link to full text PDF
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YesWhether a free full text is available
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greenOpen access status per OpenAlex
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https://www.biorxiv.org/content/biorxiv/early/2024/11/03/2024.10.31.621412.full.pdfDirect OA link when available
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Biochemistry, Metabolomics, Microbiome, Biology, Immune system, Fatty acid, Metabolite, Chemistry, Computational biology, Bioinformatics, ImmunologyTop concepts (fields/topics) attached by OpenAlex
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5Total citation count in OpenAlex
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2025: 5Per-year citation counts (last 5 years)
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119Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.stress | 15 |
| abstract_inverted_index.times. | 54 |
| abstract_inverted_index.varied | 83 |
| abstract_inverted_index.356,542 | 53 |
| abstract_inverted_index.created | 31 |
| abstract_inverted_index.derived | 67 |
| abstract_inverted_index.disease | 137 |
| abstract_inverted_index.enhance | 18, 118 |
| abstract_inverted_index.further | 128 |
| abstract_inverted_index.library | 35, 97 |
| abstract_inverted_index.lipids, | 103 |
| abstract_inverted_index.organs. | 80 |
| abstract_inverted_index.several | 8 |
| abstract_inverted_index.studies | 126 |
| abstract_inverted_index.Abstract | 0 |
| abstract_inverted_index.detected | 52 |
| abstract_inverted_index.function | 13 |
| abstract_inverted_index.patterns | 40 |
| abstract_inverted_index.resource | 116 |
| abstract_inverted_index.spectral | 34 |
| abstract_inverted_index.cognitive | 113 |
| abstract_inverted_index.compounds | 123 |
| abstract_inverted_index.datasets, | 44 |
| abstract_inverted_index.detection | 20 |
| abstract_inverted_index.diabetes. | 93 |
| abstract_inverted_index.digestive | 76 |
| abstract_inverted_index.highlight | 139 |
| abstract_inverted_index.histamine | 105 |
| abstract_inverted_index.important | 5 |
| abstract_inverted_index.including | 11, 104 |
| abstract_inverted_index.mediators | 6 |
| abstract_inverted_index.microbial | 86, 100 |
| abstract_inverted_index.polyamine | 107 |
| abstract_inverted_index.processes | 10 |
| abstract_inverted_index.reference | 33 |
| abstract_inverted_index.response. | 16 |
| abstract_inverted_index.annotation | 120 |
| abstract_inverted_index.biological | 9 |
| abstract_inverted_index.databases, | 62 |
| abstract_inverted_index.discovery. | 149 |
| abstract_inverted_index.documented | 58 |
| abstract_inverted_index.metabolite | 148 |
| abstract_inverted_index.retrieving | 36 |
| abstract_inverted_index.structural | 61 |
| abstract_inverted_index.untargeted | 26, 144 |
| abstract_inverted_index.conjugates, | 108 |
| abstract_inverted_index.identifying | 45 |
| abstract_inverted_index.impairment. | 114 |
| abstract_inverted_index.large-scale | 143 |
| abstract_inverted_index.short-chain | 69 |
| abstract_inverted_index.metabolomics | 145 |
| abstract_inverted_index.colonization, | 87 |
| abstract_inverted_index.metabolomics, | 29 |
| abstract_inverted_index.understanding | 130 |
| abstract_inverted_index.spectrometry-based | 28 |
| cited_by_percentile_year.max | 98 |
| cited_by_percentile_year.min | 97 |
| corresponding_author_ids | https://openalex.org/A5082720301 |
| countries_distinct_count | 6 |
| institutions_distinct_count | 45 |
| corresponding_institution_ids | https://openalex.org/I36258959, https://openalex.org/I4210113502 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/3 |
| sustainable_development_goals[0].score | 0.6200000047683716 |
| sustainable_development_goals[0].display_name | Good health and well-being |
| citation_normalized_percentile.value | 0.84001286 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |