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    Partial inactivation of Ankrd26 causes diabetes with enhanced insulin responsiveness of adipose tissue in mice

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    Aims/hypothesis: ANKRD26 is a newly described gene located at 10p12 in humans, a locus that has been identified with some forms of hereditary obesity. Previous studies have shown that partial inactivation of Ankrd26 in mice causes hyperphagia, obesity and gigantism. Hypothesising that Ankrd26 mutant (MT) mice could develop diabetes, we sought to establish whether the observed phenotype could be (1) solely related to the development of obesity or (2) caused by a direct action of ankyrin repeat domain 26 (ANKRD26) in peripheral tissues. Methods: To test the hypothesis, we did a full metabolic characterisation of Ankrd26 MT mice that had free access to chow or were placed under two different energy-restricted dietary regimens. Results: Highly obese Ankrd26 MT mice developed an unusual form of diabetes in which white adipose tissue is insulin-sensitive, while other tissues are insulin-resistant. When obese MT mice were placed on a food-restricted diet, their weight and glucose homeostasis returned to normal. In addition, when young MT mice were placed on a pair-feeding diet with normal mice, they maintained normal body weight, but showed better glucose tolerance than normal mice, an increased responsiveness of white adipose tissue to insulin and enhanced phosphorylation of the insulin receptor. Conclusions/interpretation: These findings show that the ANKRD26 protein has at least two functions in mice. One is to control the response of white adipose tissue to insulin; the other is to control appetite, which when Ankrd26 is mutated, leads to hyperphagia and diabetes in an obesity-dependent manner

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
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