Evaluation of locomotor training after spinal cord injury (SCI) has primarily focused on hind limb recovery, with evidence of functional and molecular changes in response to exercise. Since trauma at a cervical (C) level is common in human SCI, we used a unilateral C4 contusion injury model in rats to determine whether forced exercise (Ex) would affect spinal cord biochemistry, anatomy, and recovery of fore and hind limb function. SCI was created with the Infinite Horizon spinal cord impactor device at C4 with a force of 200 Kdyne and a mean displacement of 1600-1800 microm in adult female Sprague-Dawley rats that had been acclimated to a motorized exercise wheel apparatus. Five days post-operatively, the treated group began Ex on the wheel for 20 min per day, 5 days per week for 8 weeks. Wheel speed was increased daily according to the abilities of each animal up to 14 m/min. Control rats were handled daily but were not exposed to Ex. In one set of animals experiencing 5 days of Ex, there was a moderate increase in brain-derived neurotrophic factor (BDNF) and heat shock protein-27 (HSP-27) levels in the lesion epicenter and surrounding tissue. Long-term (8 weeks) survival groups were exposed to weekly behavioral tests to assess qualitative aspects of fore limb and hind limb locomotion (fore limb scale, FLS and BBB [Basso, Beattie, and Bresnahan locomotor rating scale]), as well as sensorimotor (grid) and motor (grip) skills. Biweekly assessment of performance during wheel walking examined gross and fine motor skills. The FLS indicated a significant benefit of Ex during weeks 2-4. The BBB test showed no change with Ex at the end of the 8-week period, however hind limb grid performance was improved during weeks 2-4. Lesion size was not affected by Ex, but the presence of phagocytic and reactive glial cells was reduced with Ex as an intervention. These results suggest that Ex alone can influence the evolution of the injury and transiently improve fore and hind limb function during weeks 2-4 following a cervical SCI.

Extracellular vesicles (EVs) have potential in disease treatment since they can be loaded with therapeutic molecules and engineered for retention by specific tissues. However, questions remain on optimal dosing, administration and pharmacokinetics. Previous studies have addressed biodistribution and pharmacokinetics in rodents, but little evidence is available for larger animals. Here, we investigated the pharmacokinetics and biodistribution of Expi293F-derived EVs labelled with a highly sensitive nanoluciferase reporter (palmGRET) in a non-human primate model (Macaca nemestrina), comparing intravenous (IV) and intranasal (IN) administration over a 125-fold dose range. We report that EVs administered IV had longer circulation times in plasma than previously reported in mice and were detectable in cerebrospinal fluid after 30-60 min. EV association with peripheral blood mononuclear cells, especially B-cells, was observed as early as 1-min post-administration. EVs were detected in liver and spleen within 1 h of IV administration. However, IN delivery was minimal, suggesting that pretreatment approaches may be needed in large animals. Furthermore, EV circulation times strongly decreased after repeated IV administration, possibly due to immune responses and with clear implications for xenogeneic EV-based therapeutics. We hope that our findings from this baseline study in macaques will help to inform future research and therapeutic development of EVs.Tom Driedonks and Linglei Jiang contributed equally to this study.

Background To develop and validate a deep learning-based approach to the fully-automated analysis of macaque corneal sub-basal nerves using in vivo confocal microscopy (IVCM). Methods IVCM was used to collect 108 images from 35 macaques. 58 of the images from 22 macaques were used to evaluate different deep convolutional neural network (CNN) architectures for the automatic analysis of sub-basal nerves relative to manual tracings. The remaining images were used to independently assess correlations and inter-observer performance relative to three readers. Results Correlation scores using the coefficient of determination between readers and the best CNN averaged 0.80. For inter-observer comparison, inter-correlation coefficients (ICCs) between the three expert readers and the automated approach were 0.75, 0.85 and 0.92. The ICC between all four observers was 0.84, the same as the average between the CNN and individual readers. Conclusions Deep learning-based segmentation of sub-basal nerves in IVCM images shows high to very high correlation to manual segmentations in macaque data and is indistinguishable across readers. As quantitative measurements of corneal sub-basal nerves are important biomarkers for disease screening and management, the reported work offers utility to a variety of research and clinical studies using IVCM.