Objective To assess the health status of rodent laboratory animals by pathological diagnosis, our lab has being take apart in investigating the quality of laboratory animals in Beijing area for years and offer some advices for standardized breeding to ensure accurate results of scientific research.This paper focuses on the analysis of laboratory rodent samples that collected in October 2014.Methods We collected the heart, liver, spleen, lung, kidney, large intestine and small intestine, and put these organs into 10%Calcium formaldehyde solution for fixation, and then prepared into two different sections for optical microscopy observation including all paraffin specimens stained with H&E and the frozen sections stained with Oil Red-O and PAS.Results The vast majority of laboratory rodents were up to standard, but there still a problem in individual units.The main problem is liver and lung disease.The rate of Hepatocyte swellingis 6%(mouse), 2.5% (rat), 8.2% (guinea pig), moreover part of them were lipidosis, according to Oil Red-O stain.the mainly problem of lung is congestion ,edema and Interstitial pneumonia ,the detectable rate of pulmonarydiseases is 15.5%(guinea pig).Conclusions The vast majority of laboratory rodents were pathologically diagnosed as healthy animals.The liver disease may be caused by improper feeding.And disease of lung may led by haze, unqualified bedding and low temperature.

In this study, we aimed to (1) identify white matter (WM) deficits underlying the consciousness level in patients with disorders of consciousness (DOCs) using diffusion tensor imaging (DTI), and (2) evaluate the relationship between DTI metrics and clinical measures of the consciousness level in DOC patients. With a cohort of 8 comatose, 8 unresponsive wakefulness syndrome/vegetative state, and 14 minimally conscious state patients and 25 patient controls, we performed group comparisons of the DTI metrics in 48 core WM regions of interest (ROIs), and examined the clinical relevance using correlation analysis. We identified multiple abnormal WM ROIs in DOC patients compared with normal controls, and the DTI metrics in these ROIs were significantly correlated with clinical measures of the consciousness level. Therefore, our findings suggested that multiple WM tracts are involved in the impaired consciousness levels in DOC patients and demonstrated the clinical relevance of DTI for DOC patients.
Adult ; Brain Stem ; diagnostic imaging ; Consciousness ; physiology ; Consciousness Disorders ; diagnostic imaging ; pathology ; Diffusion Tensor Imaging ; methods ; Female ; Humans ; Image Processing, Computer-Assisted ; methods ; Male ; Middle Aged ; White Matter ; pathology ; physiopathology