Fibroblast growth factor-21 may be a potential novel drug for preventing the development of traumatic TMJ bony ankylosis

AbstractTrauma is the leading cause of temporomandibular joint (TMJ) bony ankylosis. The treatment of the condition poses a significant challenge because of the high incidence of recurrence. We previously proposed a new view that the development of traumatic TMJ bony ankylosis may be a course similar to hypertrophic nonunion, and the ensuing animal experiments preliminarily verified this view through histological analysis and molecular biology examination. In view of the similarity between bone healing and bony ankylosis, and the importance of recruitment and differentiation of mesenchymal stem cells (MSCs) during the course of bone healing, it is reasonable to select MSCs as the breakthrough point for prevention of bony ankylosis. Recent studies reveal that fibroblast growth factor 21 (FGF21), a key mediator of peroxisome proliferator-activated receptor-γ (PPARγ), can promote adipocyte differentiation, inhibit osteoblast differentiation of MSCs and stimulate osteoclast activity by activation of PPARγ. Therefore, we hypothesize that local FGF21 injection may prohibit the onset of traumatic TMJ bony ankylosis through formation of a fat pad separating the condyle from the glenoid fossa, inhibition of new bone formation and promotion of bone resorption in the joint space, which thus may be a potential novel treatment for TMJ bony ankylosis

Systems biology in the frontier of cancer research: a report of the Second International Workshop of Cancer Systems Biology

The report summarizes the Second International Workshop of Cancer Systems Biology held on July 5-6, 2012 in Changchun, China. The goal of the workshop was to bring together cancer researchers with different backgrounds to share their views about cancer and their experiences in fighting against cancer, and to gain new and systems-level understanding about cancer formation, progression, diagnosis, and treatment through exchanging ideas

PUEPro : A Computational Pipeline for Prediction of Urine Excretory Proteins

This work is supported by the National Natural Science Foundation of China (Grant Nos. 81320108025, 61402194, 61572227), Development Project of Jilin Province of China (20140101180JC) and China Postdoctoral Science Foundation (2014T70291).Postprin

4-Amino-2,3,5-trimethyl­pyridine monohydrate

In the title compound, C8H12N2·H2O, four substituted pyridine mol­ecules alternate with four water mol­ecules, forming a large ring via Owater—H⋯Npyridine and Namine—H⋯Owater hydrogen bonding. Adjacent rings are connected via Owater—H⋯Owater hydrogen-bonds, forming a three-dimensional network

Extracting topic-sensitive content from textual documents - A hybrid topic model approach

When exploring information of a topic, users often concern its different aspects. For instance, product designers are interested in seeking information of specific topic aspects such as technical challenge and usability from online consumer opinions, while potential buyers wish to obtain general sentiment of public opinions. In this paper, we study an interesting problem called topic-sensitive content extraction (TSCE). TSCE aims to extract contents that are relevant to the samples of topic aspects highlighted by users from a single document in a given text collection. To tackle TSCE, we have proposed a new hybrid topic model which integrates different structures in both topic space and context space. It focuses on identifying contents associated with a specified topic aspect from each document. By modeling gradient documents via term profiles for context modeling and by leveraging local and global differences between probability distributions over words in both topic modeling and context modeling, it has better captured the features of various language patterns. Hence, sentence relevance ranking according to a specific topic aspect is largely improved. The experimental studies on extracting critical contents of specific aspects, including motivation and design solution, from technical patents for design analysis have shown the merits of the proposed modeling