In order to study the influence of severity of tendon injury on the morphology of collagen fibers during healing process of extensor tendons, 40 female Wistal rats were used for investigation. The rats were divided into 2 groups. Transection of the tendon of extensor digitorum longus was performed in one group, while partial section of the same tendon was performed in the other group. Morphometric analysis was undertaken on the 15th, 30th, 60th and 90th day after operation. The result was that there was no significant difference between the two groups both in distribution and diameter of collagen fibers on the 15th and 30th days (P gt; 0.05). However, there was significent difference between those on the 60th and 90th days (P lt; 0.05). It was concluded that the severity of the tendon injury could influence the morphology of collagen fibers during the late stage of tendon healing.
Objective To establish a method for primary culture of iris pigment epithelial cells(IPE). MethodsEnzyme-Assisted microdissection was used to isolate and cultivate the IPE cells.An identification was made with microscopic and immunohistochemical observations.Results IPE were successfully sultured and showed on differences with RPE in primary culture and subculture.ConclusionEnzyme-Assisted microdissection is a reliable and quick method for the isolation of IPE.
Objective To automatically segment diabetic retinal exudation features from deep learning color fundus images. Methods An applied study. The method of this study is based on the U-shaped network model of the Indian Diabetic Retinopathy Image Dataset (IDRID) dataset, introduces deep residual convolution into the encoding and decoding stages, which can effectively extract seepage depth features, solve overfitting and feature interference problems, and improve the model's feature expression ability and lightweight performance. In addition, by introducing an improved context extraction module, the model can capture a wider range of feature information, enhance the perception ability of retinal lesions, and perform excellently in capturing small details and blurred edges. Finally, the introduction of convolutional triple attention mechanism allows the model to automatically learn feature weights, focus on important features, and extract useful information from multiple scales. Accuracy, recall, Dice coefficient, accuracy and sensitivity were used to evaluate the ability of the model to detect and segment the automatic retinal exudation features of diabetic patients in color fundus images. Results After applying this method, the accuracy, recall, dice coefficient, accuracy and sensitivity of the improved model on the IDRID dataset reached 81.56%, 99.54%, 69.32%, 65.36% and 78.33%, respectively. Compared with the original model, the accuracy and Dice index of the improved model are increased by 2.35% , 3.35% respectively. Conclusion The segmentation method based on U-shaped network can automatically detect and segment the retinal exudation features of fundus images of diabetic patients, which is of great significance for assisting doctors to diagnose diseases more accurately.
To evaluate the biological tolerance of the human liver to prolonged warm ischemia, 20 patients who underwent liver resections with hepatic inflow occlusion are reported. Biopsy of liver were performed during and after consecutive periods of hepatic ischemia, and speciments were observed under light and electron microscope. The results showed that hepatic vascular occlusion for ＜30 min, resulted in atotissular temporary but reversible pathologic and ultrastructural changes in liver, even patients with liver cirrhosis had better recovery from the operation when the hepatic ischemia was lengthen up to 40 min.
Objective To investigate the expression of Jumonji domain-containing protein 3 ( JMJD3) in lung cancer tissue. Methods The cancer tissue slides from 53 lung cancer patients with different TNMstages were immunostained with JMJD3 antibody. The relationship between the expression of JMJD3 and type of pathology, TNM stage, survival time was analyzed. Results 94. 3% lung cancer tissue expressed JMJD3 protein. The expression of JMJD3 was negatively correlated with TNMstage( r = - 0. 347,P =0. 002) . The patients with decreased JMJD3 expression had shorter survival time than the patients with high JMJD3 expression ( X2 = 17. 83, P = 0. 001) . Conclusion Decreased expression of JMJD3 may promote the lung cancer progression.
Objective To study on the ultrastructural characteristic of segments of photoreceptors from neonatal retinas for supporting donor retina choice of retinal transplantation． Methods Photoreceptors from neonatal calf and adult calf were analysed by scanning electron microscopy and transmission electron microscopy． Results Segments of photoreceptors from neonatal calf appeared the mushroom pattern, in which, distal end of outer segment which was ball-shaped formed the head with mushrooms appearance, and the inner segments along with some of outer segments formed the body with mushrooms appearance． Within the outer segment, plasma membranes of adjacent evaginations form a disk subsequently． The a rray of most disks were vertical to the entire length of segments, but some were parallel and slope to．Owing to the incomplete formation, some rim of disk near distal end of outer segment revealed step-shaped appearance． The distal end of outer segment displays some processes consisted of membranous discs, much vesicular material and mitochondria, much rough endoplasmic reticulum (RER) and numerous polyso mes．Segments of photoreceptor connected with outer nuclear layer via the external limiting membrane． Conclusion The typical morphol ogical structures of outer segments suggest the immature and b gowth ability of photoreceptors of the retina of neonatal calf, and therefore the competence for donor material of retinal transplantation． (Chin J Ocul Fundus Dis, 2001,227-229)
ObjectiveTo analyze effects of histone demethylase Jumonji-domaincontaining protein 3 (JMJD3) in macrophages in order to provide a new target for treatment of macrophage-related inflammatory reactions, autoimmune diseases, and organ transplantation rejection.MethodThe related literatures of researches on the effects of JMJD3 in the macrophages in recent years were searched and reviewed.ResultsThe macrophages played the important roles in maintaining tissue homeostasis and host response, clearing pathogens and apoptotic cells, and promoting tissue repair and wound healing. The JMJD3 could regulate the balance of M1 and M2 types of macrophages through the different ways and had different effects on the polarization of M2 macrophages when it was stimulated by the different extracellular substances. In some immune diseases and wound repairing, the JMJD3 could not only promote the inflammatory responses, but also polarize the M2 macrophages so as to inhibit the inflammation and promote the tissue repair. Clinically, the JMJD3 expression might be different in the different diseases and its low or high expression both might be involved in the occurrence of diseases.ConclusionHistone demethylase enzyme JMJD3 is involved in macrophage polarization and expression of inflammatory genes, but there are still many problems that require further to be investigated.
ObjectiveTo elaborate constitute, definition, and interpretation of tumor characteristics module of colorectal cancer in the Database from Colorectal Cancer (DACCA) in the West China Hospital.MethodThe article was described in the words.ResultsThe tumor features module of colorectal cancer in the DACCA included the precancerous lesion, cancer family, location of tumor, distance to the dentate line, morphology of tumor, size, position, happening and origination, differentiation, pathology of tumor, Ki-67 protein, obstruction, intussusception, perforation, pain, edema, and hemorrhage. The exact definitions of morphology of tumor, size, position, differentiation, pathology of tumor, Ki-67 protein and complication (included obstruction, intussusception, perforation, pain, edema, and hemorrhage), tag and structure, corrective precautions and update of these columns, and how to use these tumor characteristics in the DACCA when analysis was carried out were described in detail.ConclusionThrough detailed description and specification of current tumor characteristics module of colorectal cancer in DACCA in West China Hospital, it can provide a reference for standardized treatment of colorectal cancer and also provide experiences for the peers who wish to build a colorectal cancer database.
Objective To investigate the output of evidence-based medicine (EBM) researchers in China and elsewhere by examining the EBM domains they work within and the networks that exist among them; using visualization methods to analyze these relationships. This maps the current situation and helps with the identification of areas for future growth. Method We used co-citation matrixes with Pathfinder networks and hierarchical clustering algorithms, and constructed a co-author matrix which were analyzed with a whole network approach. The analyzed matrixes were visualized with the UCINET program. Result Much of the development of EBM has been centered around three authors, David Sackett, Gordon Guyatt and L Manchikanti, within three different clusters. The main authors of EBM articles in China were divided into nine academic domains. The relations among core authors of articles indexed by the Science Citation Index (SCI) was loose. There was a ber co-authorship network among core authors in the Chinese literature, with three groups and 21 cliques. Nine distinct academic communities appeared to have formed around Li Youping, Liu Ming and Zhang Mingming. Conclusion The EBM literature contains several key clusters, with universities in high-income countries being the source of the majority of articles. Outside China, McMaster University in Canada, the original home of EBM, is the dominant producer of EBM publications. In China, Sichuan University is the main source of EBM publications. The EBM cooperation network in China is comprised of three major groups, the largest and most productive in this sample is led by Li Youping with Liu Ming, Zhang Mingming, Li Jing, Wang Li, Wu Taixiang, and Liu Guanjian as central members.