Evidence map›Paper›PMID 31427184›Full record

ArticleMolecular metabolism2019

Short-term cold exposure supports human Treg induction in vivo.

Maike Becker, Isabelle Serr, Victoria K Salb, Verena B Ott, Laura Mengel, Matthias Blüher, Benno Weigmann, Hans Hauner, Matthias H Tschöp, Carolin Daniel

Open access · goldAbstract read
In one paragraph

Article in Molecular metabolism, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.6field-weighted citation impact, top 17% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed, 22 citations in OpenAlex.

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  10. Tissue Resident Foxp3Frontiers in immunology · 2022
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 9 institutions in 1 country.

Maike BeckerInstitute for Diabetes Research, Group Immune Tolerance in Diabetes, Helmholtz Diabetes Center at Helmholtz Zentrum München, German Research Center for Environmental Health, Munich-Neuherberg, Germany; German Center for Diabetes Research (DZD), Munich, Germany.
Isabelle SerrInstitute for Diabetes Research, Group Immune Tolerance in Diabetes, Helmholtz Diabetes Center at Helmholtz Zentrum München, German Research Center for Environmental Health, Munich-Neuherberg, Germany; German Center for Diabetes Research (DZD), Munich, Germany.
Victoria K SalbInstitute for Diabetes Research, Group Immune Tolerance in Diabetes, Helmholtz Diabetes Center at Helmholtz Zentrum München, German Research Center for Environmental Health, Munich-Neuherberg, Germany; German Center for Diabetes Research (DZD), Munich, Germany.
Verena B OttInstitute for Diabetes Research, Group Immune Tolerance in Diabetes, Helmholtz Diabetes Center at Helmholtz Zentrum München, German Research Center for Environmental Health, Munich-Neuherberg, Germany; German Center for Diabetes Research (DZD), Munich, Germany; Institute for Diabetes and Obesity, Helmholtz Diabetes Center at Helmholtz Zentrum München, Munich-Neuherberg, Germany.
Laura MengelZIEL-Institute for Food & Health, Else Kröner-Fresenius Zentrum für Ernährungsmedizin, Technische Universität München, Freising-Weihenstephan, Germany.
Matthias BlüherDepartment of Medicine, University of Leipzig, Leipzig, Germany.
Benno WeigmannDepartment of Medicine 1, University of Erlangen-Nuremberg, Kussmaul Campus for Medical Research, Erlangen, Germany.
Hans HaunerGerman Center for Diabetes Research (DZD), Munich, Germany; ZIEL-Institute for Food & Health, Else Kröner-Fresenius Zentrum für Ernährungsmedizin, Technische Universität München, Freising-Weihenstephan, Germany; Institute for Nutritional Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany.
Matthias H TschöpGerman Center for Diabetes Research (DZD), Munich, Germany; Institute for Diabetes and Obesity, Helmholtz Diabetes Center at Helmholtz Zentrum München, Munich-Neuherberg, Germany; Division of Metabolic Diseases, Department of Medicine, Technische Universität München, Munich, Germany.
Carolin DanielInstitute for Diabetes Research, Group Immune Tolerance in Diabetes, Helmholtz Diabetes Center at Helmholtz Zentrum München, German Research Center for Environmental Health, Munich-Neuherberg, Germany; German Center for Diabetes Research (DZD), Munich, Germany; Division of Clinical Pharmacology, Department of Medicine IV, Ludwig-Maximilians-Universität München, Munich, Germany. Electronic address: carolin.daniel@helmholtz-muenchen.de.
Technical University of Munich · DEDeutsches Diabetes-Zentrum e.V. · DEFresenius (Germany) · DEFriedrich-Alexander-Universität Erlangen-Nürnberg · DEGerman Center for Diabetes Research · DEHeinrich Heine University Düsseldorf · DEHelmholtz Zentrum München · DELeipzig University · DELudwig-Maximilians-Universität München · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveObesity and type-2 diabetes (T2D) are metabolic diseases that represent a critical health problem worldwide. Metabolic disease is differentially associated with fat distribution, while visceral white adipose tissue (VAT) is particularly prone to obesity-associated inflammation. Next to their canonical function of immune suppression, regulatory T cells (Tregs) are key in controlling adipose tissue homeostasis. Towards understanding the molecular underpinnings of metabolic disease, we focus on how environmental-metabolic stimuli impinge on the functional interplay between Tregs and adipose tissue. Here, cold exposure or beta3-adrenergic signaling are a promising tool to increase energy expenditure by activating brown adipose tissue, as well as by reducing local inflammation within fat depots by supporting immunosuppressive Tregs. However, in humans, the underlying mechanisms that enable the environmental-immune crosstalk in the periphery and in the respective tissue remain currently unknown.

methodsWe used combinatorial approaches of next generation humanized mouse models and in vitro and in vivo experiments together with beta3-adrenergic stimulation to dissect the underlying mechanisms of human Treg induction exposed to environmental stimuli such as cold. To test the translational relevance of our findings, we analyzed samples from the FREECE study in which human subjects were exposed to individualized cooling protocols. Samples were analyzed ex vivo and after in vitro Treg induction using qRT-PCR, immunofluorescence, as well as with multicolor flow cytometry and cell sorting.

resultsIn vivo application of the beta3-adrenergic receptor agonist mirabegron in humanized mice induced thermogenesis and improved the Treg induction capacity of naïve T cells isolated from these animals. Using samples from the human FREECE study, we demonstrate that a short-term cold stimulus supports human Treg induction in vitro and in vivo. Mechanistically, we identify BORCS6 encoding the Ragulator-interacting protein C17orf59 to be significantly induced in human CD4

conclusionsThese novel insights into the molecular underpinnings of human Treg induction suggest an important role of Tregs in linking environmental stimuli with adipose tissue function and metabolic diseases. Moreover, these discoveries shed new light on potential approaches towards tailored anti-inflammatory concepts that support human adipose tissue homeostasis by enabling Tregs.

Indexed as

Cold TemperatureAcetanilidesAdipose Tissue, BrownAdrenergic beta-AgonistsAdultAnimalsFemaleHumansMaleMiceMiddle AgedReceptors, Adrenergic, betaThiazolesT-Lymphocytes, RegulatoryYoung AdultAcetanilidesAdrenergic beta-AgonistsmirabegronReceptors, Adrenergic, betaThiazolesBeta3-adrenergic stimulationHuman adipose tissueHumanized miceImmunometabolismMirabegronRegulatory T cell

Identifiers

PMID31427184
PMCPMC6822223
OpenAlexW2964913070

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.