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      ACVR2B/Fc counteracts chemotherapy-induced loss of muscle and bone mass

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          Abstract

          Chemotherapy promotes the development of cachexia, a debilitating condition characterized by muscle and fat loss. ACVR2B/Fc, an inhibitor of the Activin Receptor 2B signaling, has been shown to preserve muscle mass and prolong survival in tumor hosts, and to increase bone mass in models of osteogenesis imperfecta and muscular dystrophy. We compared the effects of ACVR2B/Fc on muscle and bone mass in mice exposed to Folfiri. In addition to impairing muscle mass and function, Folfiri had severe negative effects on bone, as shown by reduced trabecular bone volume fraction (BV/TV), thickness (Tb.Th), number (Tb.N), connectivity density (Conn.Dn), and by increased separation (Tb.Sp) in trabecular bone of the femur and vertebra. ACVR2B/Fc prevented the loss of muscle mass and strength, and the loss of trabecular bone in femurs and vertebrae following Folfiri administration. Neither Folfiri nor ACVR2B/Fc had effects on femoral cortical bone, as shown by unchanged cortical bone volume fraction (Ct.BV/TV), thickness (Ct.Th) and porosity. Our results suggest that Folfiri is responsible for concomitant muscle and bone degeneration, and that ACVR2B/Fc prevents these derangements. Future studies are required to determine if the same protective effects are observed in combination with other anticancer regimens or in the presence of cancer.

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          NIH Image to ImageJ: 25 years of image analysis

          For the past twenty five years the NIH family of imaging software, NIH Image and ImageJ have been pioneers as open tools for scientific image analysis. 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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            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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              Cancer Statistics, 2017.

              Each year, the American Cancer Society estimates the numbers of new cancer cases and deaths that will occur in the United States in the current year and compiles the most recent data on cancer incidence, mortality, and survival. Incidence data were collected by the Surveillance, Epidemiology, and End Results Program; the National Program of Cancer Registries; and the North American Association of Central Cancer Registries. Mortality data were collected by the National Center for Health Statistics. In 2017, 1,688,780 new cancer cases and 600,920 cancer deaths are projected to occur in the United States. For all sites combined, the cancer incidence rate is 20% higher in men than in women, while the cancer death rate is 40% higher. However, sex disparities vary by cancer type. For example, thyroid cancer incidence rates are 3-fold higher in women than in men (21 vs 7 per 100,000 population), despite equivalent death rates (0.5 per 100,000 population), largely reflecting sex differences in the "epidemic of diagnosis." Over the past decade of available data, the overall cancer incidence rate (2004-2013) was stable in women and declined by approximately 2% annually in men, while the cancer death rate (2005-2014) declined by about 1.5% annually in both men and women. From 1991 to 2014, the overall cancer death rate dropped 25%, translating to approximately 2,143,200 fewer cancer deaths than would have been expected if death rates had remained at their peak. Although the cancer death rate was 15% higher in blacks than in whites in 2014, increasing access to care as a result of the Patient Protection and Affordable Care Act may expedite the narrowing racial gap; from 2010 to 2015, the proportion of blacks who were uninsured halved, from 21% to 11%, as it did for Hispanics (31% to 16%). Gains in coverage for traditionally underserved Americans will facilitate the broader application of existing cancer control knowledge across every segment of the population. CA Cancer J Clin 2017;67:7-30. © 2017 American Cancer Society.
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                Author and article information

                Contributors
                abonetto@iu.edu
                Journal
                Sci Rep
                Sci Rep
                Scientific Reports
                Nature Publishing Group UK (London )
                2045-2322
                31 October 2017
                31 October 2017
                2017
                : 7
                : 14470
                Affiliations
                [1 ]ISNI 0000 0001 2287 3919, GRID grid.257413.6, Department of Surgery, Indiana University School of Medicine, ; Indianapolis, IN 46202 USA
                [2 ]ISNI 0000 0001 2287 3919, GRID grid.257413.6, Department of Anatomy and Cell Biology, Indiana University School of Medicine, ; Indianapolis, IN 46202 USA
                [3 ]ISNI 0000 0001 2287 3919, GRID grid.257413.6, Indiana Center for Musculoskeletal Health, Indiana University School of Medicine, ; Indianapolis, IN 46202 USA
                [4 ]ISNI 0000 0001 2287 3919, GRID grid.257413.6, Indianapolis Project STEM, Indiana University School of Medicine, ; Indianapolis, IN 46202 USA
                [5 ]ISNI 0000 0001 2287 3919, GRID grid.257413.6, Department of Otolaryngology - Head and Neck Surgery, Indiana University School of Medicine, ; Indianapolis, IN 46202 USA
                [6 ]ISNI 0000 0001 2287 3919, GRID grid.257413.6, Simon Cancer Center, Indiana University School of Medicine, ; Indianapolis, IN 46202 USA
                [7 ]ISNI 0000 0001 2287 3919, GRID grid.257413.6, IUPUI Center for Cachexia Research Innovation and Therapy, Indiana University School of Medicine, ; Indianapolis, IN 46202 USA
                Article
                15040
                10.1038/s41598-017-15040-1
                5665981
                29089584
                ca690377-0a27-441f-a32e-28029434ada6
                © The Author(s) 2017

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 30 August 2017
                : 20 October 2017
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