Активность

of 11.2 weeks. Two patients underwent Zhang’s super tension-relieving suture again 8 weeks after operation due to their short tension-relieving duration which lasted for only 4 weeks after the first suture. Six months after operation, liner scars were achieved in all the patients with an average width of 2.2 mm (0.8 to 7.0 mm) and an average VSS score of 2.1 points (1.0 to 4.3 points). Three keloid patients had local recurrence 3 months after surgery for not receiving radiotherapy, which was obviously relieved following laser treatment in combination with intralesional injections of corticosteroids and 5-fluorouracil, etc. Conclusions Zhang’s super tension-relieving suture technique with barbed suture is able to effectively relieve the tension on wound edges, extend the tension-relieving duration, and reduce the hypertrophic scar risk when applied in high-tension wound.Keloid is a disease that is difficult to cure and has a high recurrence rate. In the past, research on keloid focused on keloid cells themselves and the therapeutic strategy limited to local treatment, whereas the role of systemic factors in the process of occurrence and development of disease was usually neglected. Based on the literature reports and clinical evidence, we propose that the pro-inflammatory constitution of keloid patients can serve as a systemic factor to interact with local factors such as skin lesion, and thus leads to the initiation and development of keloid. The classical theory about close relationship between visceral malfunctions and skin diseases described in traditional Chinese medicine has provided supporting evidence. Therefore, we suggest that systemic anti-inflammatory therapy should be included in the design of future keloid therapeutic strategies and be verified by the clinical trials. Additionally, the therapeutic strategies of traditional Chinese medicine including anti-dampness, detoxing and heating removing can also be employed as a part of systemic treatment of keloids.Coronavirus disease 2019 (COVID-19) has become a global public health emergency threatening people’s lives around the world. Although the acute respiratory distress syndrome (ARDS) induced by COVID-19 is similar to the ARDS caused by other diseases in terms of pathophysiological basis and clinical manifestations, they are also different in many aspects, which lead to different clinical therapies. Therefore, understanding the differences and similarities of ARDS induced by COVID-19 and other diseases currently are the basis for clinicians to make decisions for the treatment of COVID-19 induced ARDS.Since the outbreak and spread of coronavirus disease 2019 (COVID-19) pandemic, Chinese government has taken various steps to protect people’s health. Medical workers across the country including medical and nursing staffs from burn departments have taken active actions and participated in the battles against COVID-19.Throughout their life cycles, cells are subject to a variety of stresses that lead to a compromise between cell death and survival. Survival is partially provided by the cell proteostasis network, which consists of molecular chaperones, a ubiquitin-proteasome system of degradation and autophagy. The cooperation of these systems impacts the correct function of protein synthesis/modification/transport machinery starting from the adaption of nascent polypeptides to cellular overcrowding until the utilization of damaged or needless proteins. Eventually, aging cells, in parallel to the accumulation of flawed proteins, gradually lose their proteostasis mechanisms, and this loss leads to the degeneration of large cellular masses and to number of age-associated pathologies and ultimately death. In this review, we describe the function of proteostasis mechanisms with an emphasis on the possible associations between them.Selected reaction monitoring (SRM) is a mass spectrometric technique characterized by the exceptionally high selectivity and sensitivity of protein detection. However, even with this technique, the quantitative detection of low- and ultralow-abundance proteins in blood plasma, which is of great importance for the search and verification of novel protein disease markers, is a challenging task due to the immense dynamic range of protein abundance levels. One approach used to overcome this problem is the immunoaffinity enrichment of target proteins for SRM analysis, employing monoclonal antibodies. Aptamers appear as a promising alternative to antibodies for affinity enrichment. Here, using recombinant protein SMAD4 as a model target added at known concentrations to human blood plasma and SRM as a detection method, we investigated a relationship between the initial amount of the target protein and its amount in the fraction enriched with SMAD4 by an anti-SMAD4 DNA-aptamer immobilized on magnetic beads. It was found that the aptamer-based enrichment provided a 30-fold increase in the sensitivity of SRM detection of SMAD4. These results indicate that the aptamer-based affinity enrichment of target proteins can be successfully employed to improve quantitative detection of low-abundance proteins by SRM in undepleted human blood plasma.In this research work, we present an IoT solution to environment variables using a LoRa transmission technology to give real-time information to users in a Things2People process and achieve savings by promoting behavior changes in a People2People process. Sotuletinib These data are stored and later processed to identify patterns and integrate with visualization tools, which allow us to develop an environmental perception while using the system. In this project, we implemented a different approach based on the development of a 3D visualization tool that presents the system collected data, warnings, and other users’ perception in an interactive 3D model of the building. This data representation introduces a new People2People interaction approach to achieve savings in shared spaces like public buildings by combining sensor data with the users’ individual and collective perception. This approach was validated at the ISCTE-IUL University Campus, where this 3D IoT data representation was presented in mobile devices, and from this, influenced user behavior toward meeting campus sustainability goals.