Interleukin-33 induces protective effects in adipose tissue inflammation during obesity in mice
Authors: Iain B McInnes
Lesley A Anderson
Axel J Hueber
Naveed Sattar
Damo Xu
William M Holmes
Foo Y Liew
Darren L Asquith
Ashley M Miller
Andrew N McKenzie
Journal: Circulation Research (2010)
Discipline: CLINICAL MEDICINE
Keywords: Chronic low-grade inflammation; adipose tissue; interleukin-33; ST2; Th2 cytokines
Affiliations: Division of Immunology, Infection and Inflammation, GBRC, University of Glasgow, Glasgow, United Kingdom. , From the Division of Immunology, Infection and Inflammation, Glasgow Biomedical Research Centre (A.M.M., D.L.A., A.J.H., L.A.A., D.X., I.B.M., F.Y.L.); Glasgow Experimental MRI Centre, Wellcome Surgical Institute (W.M.H.); and British Heart Foundation Glasgow Cardiovascular Research Centre (N.S.), University of Glasgow; and Medical Research Council Laboratory of Molecular Biology (A.N.M.), Cambridge, United Kingdom.

Abstract:  Rationale: Chronic low-grade inflammation involving adipose tissue likely contributes to the metabolic consequences of obesity. The cytokine interleukin (IL)-33 and its receptor ST2 are expressed in adipose tissue, but their role in adipose tissue inflammation during obesity is unclear. Objective: To examine the functional role of IL-33 in adipose tissues and investigate the effects on adipose tissue inflammation and obesity in vivo. Methods and results: We demonstrate that treatment of adipose tissue cultures in vitro with IL-33 induced production of Th2 cytokines (IL-5, IL-13, IL-10) and reduced expression of adipogenic and metabolic genes. Administration of recombinant IL-33 to genetically obese diabetic (ob/ob) mice led to reduced adiposity, reduced fasting glucose and improved glucose and insulin tolerance. IL-33 also induced accumulation of Th2 cells in adipose tissue and polarization of adipose tissue macrophages toward an M2 alternatively activated phenotype (CD206(+)), a lineage associated with protection against obesity-related metabolic events. Furthermore, mice lacking endogenous ST2 fed high-fat diet had increased body weight and fat mass and impaired insulin secretion and glucose regulation compared to WT controls fed high-fat diet. Conclusions: In conclusion, IL-33 may play a protective role in the development of adipose tissue inflammation during obesity. 

Retracted: No

PubPeer comments:
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 #1 Scale bars of axes on flow cytometry data appear to be optional. Please see for examples: Jaewoong Lee et al. Nature, 17 December 2020, 588, 491-497; Fig. 1a, d, h and Fig. 2a. Nevin Yusufova et al. Nature 14 January 2021, 589, 299-305; Fig. 1f , 
 This is from the authors instructions of Nature Immunology: https: www.nature.com articles ni0609-553  Immunology studies commonly use flow cytometry to sort specific cell populations for further study. In consultation with many experts in the immunology community, we have derived several minimal requirements for the reporting of flow cytometry experiments. In addition to describing antibody reagents as noted above, authors should identify the instrument(s) and software used to collect and analyze the data. Authors should provide numerical analysis and statistics of the sorted cell populations, and plots or graphs presenting these data should be labeled with the marker (such as CD4) and **the axes scale (log or linear) should be clearly visible.** Nowadays, it is good practice to show the scaling and the numbers on a FACS plot, together with the antigen+fluorochrome as axis label (as the authors did). However, if I remember correctly (and after looking at my own publications from around 2010), this was not always the standard. , 
 #3  However, if I remember correctly (and after looking at my own publications from around 2010), this was not always the standard. Could you illustrate that with your  publications from around 2010 ? , 
 #4 Thank you for your interest in my publications. As most people (including you) prefer to stay anonymous here one this page, I have to politely decline this request. When looking through some JI papers from  around 2010 you will find some that do not have axis numbers: https: www.jimmunol.org content 188 3 1381.long https: www.jimmunol.org content 184 3 1317.long https: www.jimmunol.org content 184 3 1589.long (here some FACS plots do not have clear scale ticks) https: www.jimmunol.org content 184 3 1369.long (here some FACS plots do not have clear scale ticks) ,