Home > Publications Database > Two regulatory T cell populations in the visceral adipose tissue shape systemic metabolism. > print

001     268495
005     20241203131206.0
024 7 _ |a 10.1038/s41590-024-01753-9
|2 doi
024 7 _ |a pmid:38356058
|2 pmid
024 7 _ |a 1529-2908
|2 ISSN
024 7 _ |a 1529-2916
|2 ISSN
024 7 _ |a altmetric:159521131
|2 altmetric
037 _ _ |a DZNE-2024-00241
041 _ _ |a English
082 _ _ |a 610
100 1 _ |a Torres, Santiago Valle
|b 0
245 _ _ |a Two regulatory T cell populations in the visceral adipose tissue shape systemic metabolism.
260 _ _ |a London
|c 2024
|b Springer Nature Limited
336 7 _ |a article
|2 DRIVER
336 7 _ |a Output Types/Journal article
|2 DataCite
336 7 _ |a Journal Article
|b journal
|m journal
|0 PUB:(DE-HGF)16
|s 1733227911_30591
|2 PUB:(DE-HGF)
336 7 _ |a ARTICLE
|2 BibTeX
336 7 _ |a JOURNAL_ARTICLE
|2 ORCID
336 7 _ |a Journal Article
|0 0
|2 EndNote
520 _ _ |a Visceral adipose tissue (VAT) is an energy store and endocrine organ critical for metabolic homeostasis. Regulatory T (Treg) cells restrain inflammation to preserve VAT homeostasis and glucose tolerance. Here, we show that the VAT harbors two distinct Treg cell populations: prototypical serum stimulation 2-positive (ST2+) Treg cells that are enriched in males and a previously uncharacterized population of C-X-C motif chemokine receptor 3-positive (CXCR3+) Treg cells that are enriched in females. We show that the transcription factors GATA-binding protein 3 and peroxisome proliferator-activated receptor-γ, together with the cytokine interleukin-33, promote the differentiation of ST2+ VAT Treg cells but repress CXCR3+ Treg cells. Conversely, the differentiation of CXCR3+ Treg cells is mediated by the cytokine interferon-γ and the transcription factor T-bet, which also antagonize ST2+ Treg cells. Finally, we demonstrate that ST2+ Treg cells preserve glucose homeostasis, whereas CXCR3+ Treg cells restrain inflammation in lean VAT and prevent glucose intolerance under high-fat diet conditions. Overall, this study defines two molecularly and developmentally distinct VAT Treg cell types with unique context- and sex-specific functions.
536 _ _ |a 351 - Brain Function (POF4-351)
|0 G:(DE-HGF)POF4-351
|c POF4-351
|f POF IV
|x 0
536 _ _ |a 354 - Disease Prevention and Healthy Aging (POF4-354)
|0 G:(DE-HGF)POF4-354
|c POF4-354
|f POF IV
|x 1
588 _ _ |a Dataset connected to CrossRef, PubMed, , Journals: pub.dzne.de
650 _ 7 |a Interleukin-1 Receptor-Like 1 Protein
|2 NLM Chemicals
650 _ 7 |a Cytokines
|2 NLM Chemicals
650 _ 7 |a Glucose
|0 IY9XDZ35W2
|2 NLM Chemicals
650 _ 2 |a Female
|2 MeSH
650 _ 2 |a Male
|2 MeSH
650 _ 2 |a Humans
|2 MeSH
650 _ 2 |a T-Lymphocytes, Regulatory
|2 MeSH
650 _ 2 |a Interleukin-1 Receptor-Like 1 Protein
|2 MeSH
650 _ 2 |a Intra-Abdominal Fat
|2 MeSH
650 _ 2 |a Cytokines
|2 MeSH
650 _ 2 |a Inflammation
|2 MeSH
650 _ 2 |a Glucose
|2 MeSH
693 _ _ |0 EXP:(DE-2719)PRECISE-20190321
|5 EXP:(DE-2719)PRECISE-20190321
|e Platform for Single Cell Genomics and Epigenomics at DZNE University of Bonn
|x 0
700 1 _ |a Man, Kevin
|0 0000-0002-6585-9532
|b 1
700 1 _ |a Elmzzahi, Tarek
|0 P:(DE-2719)9000539
|b 2
|u dzne
700 1 _ |a Malko, Darya
|0 P:(DE-2719)2814800
|b 3
|u dzne
700 1 _ |a Chisanga, David
|0 0000-0002-0421-3957
|b 4
700 1 _ |a Liao, Yang
|0 0000-0002-9746-2839
|b 5
700 1 _ |a Prout, Melanie
|0 0009-0006-3786-4680
|b 6
700 1 _ |a Abbott, Caitlin A
|0 0000-0002-1024-1524
|b 7
700 1 _ |a Tang, Adelynn
|b 8
700 1 _ |a Wu, Jian
|0 P:(DE-HGF)0
|b 9
700 1 _ |a Becker, Matthias Kai Holger
|0 P:(DE-2719)2812750
|b 10
|u dzne
700 1 _ |a Mason, Teisha
|b 11
700 1 _ |a Haynes, Vanessa
|b 12
700 1 _ |a Tsui, Carlson
|0 0000-0003-0642-814X
|b 13
700 1 _ |a Hadaddzadeh Shakiba, Mehrnoush
|0 P:(DE-2719)2814240
|b 14
|u dzne
700 1 _ |a Hamada, Doaa
|0 P:(DE-2719)9000568
|b 15
|u dzne
700 1 _ |a Britt, Kara
|b 16
700 1 _ |a Groom, Joanna R
|0 0000-0001-5251-7835
|b 17
700 1 _ |a McColl, Shaun R
|b 18
700 1 _ |a Shi, Wei
|b 19
700 1 _ |a Watt, Matthew J
|0 0000-0003-4064-4188
|b 20
700 1 _ |a Le Gros, Graham
|0 0000-0002-5721-0442
|b 21
700 1 _ |a Pal, Bhupinder
|0 0000-0002-3684-4331
|b 22
700 1 _ |a Beyer, Marc-Daniel
|0 P:(DE-2719)2812219
|b 23
|u dzne
700 1 _ |a Vasanthakumar, Ajithkumar
|0 0000-0002-1620-7781
|b 24
700 1 _ |a Kallies, Axel
|0 0000-0002-6312-6968
|b 25
773 _ _ |a 10.1038/s41590-024-01753-9
|g Vol. 25, no. 3, p. 496 - 511
|0 PERI:(DE-600)2026412-4
|n 3
|p 496 - 511
|t Nature immunology
|v 25
|y 2024
|x 1529-2908
856 4 _ |u https://pub.dzne.de/record/268495/files/DZNE-2024-00241%20SUP.zip
856 4 _ |u https://pub.dzne.de/record/268495/files/DZNE-2024-00241_Restricted.pdf
856 4 _ |u https://pub.dzne.de/record/268495/files/DZNE-2024-00241_Restricted.pdf?subformat=pdfa
|x pdfa
909 C O |p VDB
|o oai:pub.dzne.de:268495
910 1 _ |a Deutsches Zentrum für Neurodegenerative Erkrankungen
|0 I:(DE-588)1065079516
|k DZNE
|b 2
|6 P:(DE-2719)9000539
910 1 _ |a Deutsches Zentrum für Neurodegenerative Erkrankungen
|0 I:(DE-588)1065079516
|k DZNE
|b 3
|6 P:(DE-2719)2814800
910 1 _ |a Deutsches Zentrum für Neurodegenerative Erkrankungen
|0 I:(DE-588)1065079516
|k DZNE
|b 10
|6 P:(DE-2719)2812750
910 1 _ |a Deutsches Zentrum für Neurodegenerative Erkrankungen
|0 I:(DE-588)1065079516
|k DZNE
|b 14
|6 P:(DE-2719)2814240
910 1 _ |a Deutsches Zentrum für Neurodegenerative Erkrankungen
|0 I:(DE-588)1065079516
|k DZNE
|b 15
|6 P:(DE-2719)9000568
910 1 _ |a Deutsches Zentrum für Neurodegenerative Erkrankungen
|0 I:(DE-588)1065079516
|k DZNE
|b 23
|6 P:(DE-2719)2812219
913 1 _ |a DE-HGF
|b Gesundheit
|l Neurodegenerative Diseases
|1 G:(DE-HGF)POF4-350
|0 G:(DE-HGF)POF4-351
|3 G:(DE-HGF)POF4
|2 G:(DE-HGF)POF4-300
|4 G:(DE-HGF)POF
|v Brain Function
|x 0
913 1 _ |a DE-HGF
|b Gesundheit
|l Neurodegenerative Diseases
|1 G:(DE-HGF)POF4-350
|0 G:(DE-HGF)POF4-354
|3 G:(DE-HGF)POF4
|2 G:(DE-HGF)POF4-300
|4 G:(DE-HGF)POF
|v Disease Prevention and Healthy Aging
|x 1
914 1 _ |y 2024
915 _ _ |a Nationallizenz
|0 StatID:(DE-HGF)0420
|2 StatID
|d 2023-08-28
|w ger
915 _ _ |a DEAL Nature
|0 StatID:(DE-HGF)3003
|2 StatID
|d 2023-08-28
|w ger
915 _ _ |a JCR
|0 StatID:(DE-HGF)0100
|2 StatID
|b NAT IMMUNOL : 2022
|d 2023-08-28
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0200
|2 StatID
|b SCOPUS
|d 2023-08-28
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0300
|2 StatID
|b Medline
|d 2023-08-28
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0600
|2 StatID
|b Ebsco Academic Search
|d 2023-08-28
915 _ _ |a Peer Review
|0 StatID:(DE-HGF)0030
|2 StatID
|b ASC
|d 2023-08-28
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0199
|2 StatID
|b Clarivate Analytics Master Journal List
|d 2023-08-28
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1050
|2 StatID
|b BIOSIS Previews
|d 2023-08-28
915 _ _ |a WoS
|0 StatID:(DE-HGF)0113
|2 StatID
|b Science Citation Index Expanded
|d 2023-08-28
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0150
|2 StatID
|b Web of Science Core Collection
|d 2023-08-28
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1030
|2 StatID
|b Current Contents - Life Sciences
|d 2023-08-28
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1190
|2 StatID
|b Biological Abstracts
|d 2023-08-28
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0160
|2 StatID
|b Essential Science Indicators
|d 2023-08-28
915 _ _ |a IF >= 30
|0 StatID:(DE-HGF)9930
|2 StatID
|b NAT IMMUNOL : 2022
|d 2023-08-28
920 1 _ |0 I:(DE-2719)1013035
|k AG Beyer
|l Immunogenomics and Neurodegeneration
|x 0
920 1 _ |0 I:(DE-2719)5000079
|k AG Becker
|l Modular High Performance Computing and Artificial Intelligence
|x 1
920 1 _ |0 I:(DE-2719)1013031
|k PRECISE
|l Platform for Single Cell Genomics and Epigenomics
|x 2
980 _ _ |a journal
980 _ _ |a VDB
980 _ _ |a I:(DE-2719)1013035
980 _ _ |a I:(DE-2719)5000079
980 _ _ |a I:(DE-2719)1013031
980 _ _ |a UNRESTRICTED

LibraryCollectionCLSMajorCLSMinorLanguageAuthor
Marc 21