Transcending human spondyloarthritis: Implications of the ecologic record from the Permian to the present
محل انتشار: فصلنامه تحقیقات روماتولوژی، دوره: 2، شماره: 2
سال انتشار: 1396
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 291
فایل این مقاله در 6 صفحه با فرمت PDF قابل دریافت می باشد
- صدور گواهی نمایه سازی
- من نویسنده این مقاله هستم
استخراج به نرم افزارهای پژوهشی:
شناسه ملی سند علمی:
JR_RHRE-2-2_001
تاریخ نمایه سازی: 1 خرداد 1398
چکیده مقاله:
Spondyloarthropathy is recognized as far back as the Permian, 300 million years before present, increased in prevalence over geologic and modern time and is now essentially trans-mammalian in distribution. Four aspects allow spondyloarthropathy to be studied across phylogenetic lines and through time: Stability of disease characteristics and its spectrum, occurrence sufficiently early in life to for remains to be identified, absence of bias in skeletal preservation and lack of significant effect on organismal survival. Identified in mammal-like reptiles, dinosaurs and other more recent reptiles, it is with mammals that the disease became endemic. It strongly penetrated some early mammal lineages which were short-lived, in contrast to its geometric increase in population penetrance over geologic time. Prevalence increased seven fold in horses, rhinoceros and non-human primates and its current occurrence is independent of captive or free-ranging status. In addition to inflicting musculoskeletal morbidity, the disease is associated with behavior changes, some possibly related to interferon modulation. Spondyloarthropathy is considered a disease and rightly so, given its impact on mobility, health and behavior. However, it seems paradoxical that a phenomenon which has such negative effects would persist, let alone increase in population penetrance.
کلیدواژه ها:
نویسندگان
Bruce Rothschild
Department of Medicine, West Virginia University, Morgantown, WV ۲۶۵۰۶ and Carnegie Museum, ۴۴۰۰ Forbes Ave, Pittsburgh, PA ۱۵۲۱۵
مراجع و منابع این مقاله:
لیست زیر مراجع و منابع استفاده شده در این مقاله را نمایش می دهد. این مراجع به صورت کاملا ماشینی و بر اساس هوش مصنوعی استخراج شده اند و لذا ممکن است دارای اشکالاتی باشند که به مرور زمان دقت استخراج این محتوا افزایش می یابد. مراجعی که مقالات مربوط به آنها در سیویلیکا نمایه شده و پیدا شده اند، به خود مقاله لینک شده اند :