作者机构:
[王汝倩; 程雯; 姚睿嫔; 陈露; 俞超芹; Liu L.-X.; 吉翔] Department of Traditional Chinese Medicine (Gynecology), Changhai Hospital, Naval Medical University (Second Military Medical University), Shanghai, 200433, China;[张洁] Department of Assisted Reproduction, Ninth People’s Hospital of Shanghai, Shanghai Jiao Tong University School of Medicine, Shanghai, 200011, China
通讯机构:
[Yu, C.-Q.] D;Department of Traditional Chinese Medicine (Gynecology), Changhai Hospital, Naval Medical University (Second Military Medical University), Shanghai, China
摘要:
Traditional Chinese medicine has great potential to improve wound healing. ANBP, the mixture of 4 Chinese herbs—Agrimoniapilosa, Nelumbonucifera, Boswelliacarteri, and Pollen typhae—is effective in trauma treatment while its mechanism is still elusive. In this study, quantitative proteomics and bioinformatics analyses were performed to decipher the possible roles of ANBP in accelerated wound healing of mouse skin. Among all 3171 identified proteins, 90, 71, 80, and 140 proteins were found to be differently expressed in 6 hours, 3 days, 7 days, and 14 days ANBP-treated tissues compared with corresponding control tissues, respectively. The result showed that different biological processes and pathways were activated at different healing stages. At the early healing stage, ANBP treatment mainly affected several biological processes, including immune and defense response, vascular system restoration, hemostasis and coagulation regulation, lipid metabolism and signal transduction, while muscle tissue, hair, epidermis, extracellular matrix and tissue remodeling related activities were the major events in ANBP promoted later wound healing. This is the first quantitative proteome study of ANBP-treated wound tissues, which provide a new perspective for the mechanism of ANBP accelerated wound healing and is of guiding significance for clinical application of ANBP in trauma disorders cure.
摘要:
Aims & ScopeThe main objective of the Journal of Intelligent and Robotic Systems is to provide a forum for the fruitful interaction of ideas and techniques that combine systems and control science with artificial intelligence — and other related computer science — concepts. On the application side, the emphasis is given to industrial robotic systems, of course focusing on intelligent and sensory control problems. Papers on real applications of intelligent and robotic systems (mechatronics, manufacturing systems, biomedical systems, underwater and space applications, etc.) are most welcome. On the theoretical side, papers focusing on intelligent systems engineering, outlining new concepts and approaches in the field of intelligent systems and intelligent control are equally welcome. The journal bridges the gap between theory and practice, and stimulates interaction between workers carrying out theoretical and applied research. Main features of accepted papers will be originality, novelty, timeliness, and clarity of presentation. Papers that suggest new avenues of research or new developments on any aspect of the subject matter of the journal are most welcome.Coverage in the Journals@Ovid database begins with the January 1997 issue.
摘要:
The series piezoelectric quartz crystal (SPQC) sensing technique is a rapid and sensitive method for detection of microorganisms. In the present study, the detection device was composed of detecting system, signal generating system and data analyzing system. To magnify the amount of detection samples, eight independent SPQC sensors were parallel connected to form a muti-channel detecting unit. Electrodes were separated from the SPQC sensor and immersed into culture medium to detect the change of solution conductivity. The cell constant k was determined as 0.05 m, and the sensitivity interval of the device was from 550 to 600 μs. To maintain sensitivity of the SPQC sensor, a novel culture medium amino acid broth (AaB) was developed. It was nutrient with low conductivity and satisfied our detection device. For determining frequency detection time (FDT) expediently and accurately, FDT was defined afresh with fitting–differentiating method. Pathogens Staphylococcus aureus and Shigella dysenteriae were determined with an automated detecting device and the methods mentioned above. The calibration curves of FDT against density of bacteria showed a linear correlation coefficient (R ≥ 0.99) over the range of 10–106 cells ml−1. Detection results all fell inside the 95% confidence interval of a standard pour plate counting method. The reproducibility was also reviewed, and results showed that the device was stable and sensitive even after 180 days of employment.