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      IL-6/Stat3-Dependent Induction of a Distinct, Obesity-Associated NK Cell Subpopulation Deteriorates Energy and Glucose Homeostasis.

      Cell Metabolism
      Elsevier BV
      Csf1r, IL-6 receptor, IL6Ra, Stat3, diabetes, metaflammation, myeloid gene signature, natural killer cells, obesity, obesity-associated inflammation

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          Abstract

          Natural killer (NK) cells contribute to the development of obesity-associated insulin resistance. We demonstrate that in mice obesity promotes expansion of a distinct, interleukin-6 receptor (IL6R)a-expressing NK subpopulation, which also expresses a number of other myeloid lineage genes such as the colony-stimulating factor 1 receptor (Csf1r). Selective ablation of this Csf1r-expressing NK cell population prevents obesity and insulin resistance. Moreover, conditional inactivation of IL6Ra or Stat3 in NK cells limits obesity-associated formation of these myeloid signature NK cells, protecting from obesity, insulin resistance, and obesity-associated inflammation. Also in humans IL6Ra+ NK cells increase in obesity and correlate with markers of systemic low-grade inflammation, and their gene expression profile overlaps with characteristic gene sets of NK cells in obese mice. Collectively, we demonstrate that obesity-associated inflammation and metabolic disturbances depend on interleukin-6/Stat3-dependent formation of a distinct NK population, which may provide a target for the treatment of obesity, metaflammation-associated pathologies, and diabetes.

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          Most cited references37

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          NIH Image to ImageJ: 25 years of image analysis.

          For the past 25 years NIH Image and ImageJ software have been pioneers as open tools for the analysis of scientific images. We discuss the origins, challenges and solutions of these two programs, and how their history can serve to advise and inform other software projects.
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            Is Open Access

            featureCounts: An efficient general-purpose program for assigning sequence reads to genomic features

            , , (2013)
            Next-generation sequencing technologies generate millions of short sequence reads, which are usually aligned to a reference genome. In many applications, the key information required for downstream analysis is the number of reads mapping to each genomic feature, for example to each exon or each gene. The process of counting reads is called read summarization. Read summarization is required for a great variety of genomic analyses but has so far received relatively little attention in the literature. We present featureCounts, a read summarization program suitable for counting reads generated from either RNA or genomic DNA sequencing experiments. featureCounts implements highly efficient chromosome hashing and feature blocking techniques. It is considerably faster than existing methods (by an order of magnitude for gene-level summarization) and requires far less computer memory. It works with either single or paired-end reads and provides a wide range of options appropriate for different sequencing applications. featureCounts is available under GNU General Public License as part of the Subread (http://subread.sourceforge.net) or Rsubread (http://www.bioconductor.org) software packages.
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              Maturation of mouse NK cells is a 4-stage developmental program.

              Surface density of CD27 and CD11b subdivides mouse natural killer (NK) cells into 4 subsets: CD11b(low)CD27(low), CD11b(low)CD27(high), CD11b(high)CD27(high), and CD11b(high)CD27(low). To determine the developmental relationship between these 4 subsets, we used several complementary approaches. First, we took advantage of NDE transgenic mice that express enhanced green fluorescent protein (EGFP) and diphtheria toxin receptor specifically in NK cells. Diphtheria toxin injection leads to a transient depletion of NK cells, allowing the monitoring of the phenotype of developing EGFP+ NK cells after diphtheria toxin injection. Second, we evaluated the overall proximity between NK-cell subsets based on their global gene profile. Third, we compared the proliferative capacity of NK-cell subsets at steady state or during replenishment of the NK-cell pool. Fourth, we performed adoptive transfers of EGFP+ NK cell subsets from NDE mice into unirradiated mice and followed the fate of transferred cells. The results of these various experiments collectively support a 4-stage model of NK-cell maturation CD11b(low)CD27(low) --> CD11b(low)CD27(high) --> CD11b(high)CD27(high) --> CD11b(high)CD27(low). This developmental program appears to be associated with a progressive acquisition of NK-cell effector functions.
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