Implantable microelectromechanical sensors for diagnostic monitoring and post-surgical prediction of bone fracture healing

The relationship between modern clinical diagnostic data, such as from radiographs or computed tomography, and the temporal biomechanical integrity of bone fracture healing has not been well-established. A diagnostic tool that could quantitatively describe the biomechanical stability of the fracture site in order to predict the course of healing would represent a paradigm shift in the way fracture healing is evaluated. This paper describes the development and evaluation of a wireless, biocompatible, implantable, microelectromechanical system (bioMEMS) sensor, and its implementation in a large animal (ovine) model, that utilized both normal and delayed healing variants. The in vivo data indicated that the bioMEMS sensor was capable of detecting statistically significant differences (p-value <0.04) between the two fracture healing groups as early as 21 days post-fracture. In addition, post-sacrifice micro-computed tomography, and histology data demonstrated that the two model variants represented significantly different fracture healing outcomes, providing explicit supporting evidence that the sensor has the ability to predict differential healing cascades. These data verify that the bioMEMS sensor can be used as a diagnostic tool for detecting the in vivo course of fracture healing in the acute post-treatment period. © 2015 Orthopaedic Research Society. Published by Wiley Periodicals, Inc

Forage fermentation patterns and their implications for herbivore ingesta retention times

1. Differences in digestive physiology between browsing and grazing ruminant feeding types have been discussed extensively. The potentially underlying differences in fermentative behaviour of forage plants have received much less attention. 2. In this study, different groups of temperate forage plants (grasses, browse leaves and twigs, herbs and legumes) were compared in their chemical composition and fementative behaviour. They were evaluated via an in vitro fermentation system (modified Hohenheim gas test), and relevant fermentation parameters such as maximal gas production and relative gas production rate were calculated. 3. Grasses generally had a higher NDF (neutral detergent fibre = total cell wall) content than browse leaves, herbs and legumes, while browse leaf cell wall was more lignified than that of herbs, legumes and grass. 4. With respect to fermentation parameters, grass had the highest maximal gas production, followed by herbs and legumes, and the lowest maximal gas production in browse leaves and twigs. Relative gas production rate was highest in herbs and legumes, while that of grass and browse was lower. As expected, browse twigs had the lowest nutritional value. 5. Dicot material reached given setpoints of absolute gas production rate like 1.0 or 0.5 mL gas/(200 mg dry matter x h) faster than grass material. Based on these results, a longer passage time of food particles seems to be adaptive for grazing ruminants, as over a wide range of fermentation times, absolute gas production rate is higher in grass compared with dicots. Especially for browse leaves, a higher intake level should be expected to balance energy requirements of animals relying on this forage type