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Rosalina Lara-Rico Claudia M. López-Badillo Jesús A. Claudio-Rizo Denis. A. Cabrera-Munguía Juan J. Becerra-Rodríguez Roberto Espinosa-Neira Brenda R. Cruz-Ortiz 《Biopolymers》2023,114(6):e23538
In this work, hydrogels based on semi-interpenetrating polymeric networks (semi-IPN) based on collagen-polyurethane-alginate were studied physicochemically and from different approaches for biomedical application. It was determined that the matrices in the hydrogel state are crosslinked by the formation of urea and amide bonds between the biopolymer chains and the polyurethane crosslinker. The increment in alginate content (0–40 wt%) significantly increases the swelling capacity, generating semi-crystalline granular structures with improved storage modulus and resistance to thermal, hydrolytic, and proteolytic degradation. The in vitro bioactivity results indicated that the composition of these novel hydrogels stimulates the metabolic activity of monocytes and fibroblasts, benefiting their proliferation; while in cancer cell lines, it was determined that the composition of these biomaterials decreases the metabolic activity of breast cancer cells after 48 h of stimulation, and for colon cancer cells their metabolic activity decreases after 72 h of contact for the hydrogel with 40 wt% alginate. The matrices show a behavior of multidose release of ketorolac, and a higher concentration of analgesic is released in the semi-IPN matrix. The inhibition capacity of Escherichia coli is higher if the polysaccharide concentration is low (10 wt%). The in vitro wound closure test (scratch test) results indicate that the hydrogel with 20 wt% alginate shows an improvement in wound closure at 15 days of contact. Finally, the bioactivity of mineralization was evaluated to demonstrate that these hydrogels can induce the formation of carbonated apatite on their surface. The engineered hydrogels show biomedical multifunctionality and they could be applied in soft and hard tissue healing strategies, anticancer therapies, and drug release devices. 相似文献
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微小型生物反应器体积微小但在线分析检测和过程控制功能媲美台式装备。其核心支撑技术包括一次性材料及微加工技术、非接触式光学传感器、自动化以及实验设计(DOE)、数据分析软件与过程控制的整合。由于体积微小、湍流程度和单位能耗较低,微小型反应器内的混合、传质、剪切特性与工业规模设备有一定的区别。现阶段微小型生物反应器主要用于菌株和细胞系筛选和工艺优化,在实现高通量工艺的同时确保了数据的丰度,对缩短研发周期和加速产品上市,尤其是在应对突发性传染性疾病方面有着重要的意义。未来,精准医疗概念的落实也依赖功能柔性化的微小型生物反应器系统。 相似文献
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石墨烯是一种新型的二维碳纳米材料,由于具有优异的电子、光学、机械等特性,已经被广泛应用于电子器件、复合材料、能源储存等领域.近年来,石墨烯在生物医药领域崭露头角,其在诸如生物传感器、细胞成像、药物输运、抗菌材料等方面的广泛应用,为生物医药技术带来了突破,也为人体健康带来了福音.然而,随着石墨烯以不同途径进入人们的生活,其对人体及其他生物体的安全构成潜在威胁,引发的健康风险正受到广泛关注.本文从石墨烯对生物体的影响及其同生物体的相互作用方面入手,综述了近年来石墨烯健康风险的研究进展,并且总结归纳了人体抵御石墨烯健康风险的途径及机制,最后指出了未来石墨烯健康风险方面的研究方向. 相似文献
4.
Trask JS Garnica WT Malhi RS Kanthaswamy S Smith DG 《Journal of medical primatology》2011,40(4):224-232
Background Genetic differences between Indian and Chinese rhesus macaques contribute to the phenotypic variance of clinical trials, including infection with SIVmac. The completion of the rhesus genome has facilitated the discovery of several thousand markers. Methods We developed a genome‐wide SNP map for rhesus macaques containing 3869 validated markers with an average distance of 0.88 Mb and used the program VarLD to identify genomic areas with significant differences in linkage disequilibrium (LD) between Indian‐derived and Chinese rhesus macaques. Results Forty‐one statistically significant differences in LD between Chinese and Indian‐origin rhesus were detected on chromosomes 1, 4, 5 and 11. The region of greatest LD difference was located on the proximal end of chromosome one, which also contained the genes ELAVL4, MAST2 and HIVEP3. Conclusion These genomic areas provide entry to more detailed studies of gene function. This method is also applicable to the study of differences in biomarkers between regional populations of other species. 相似文献
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Gene therapy, recently frequently investigated, is an alternative treatment method that introduces therapeutic genes into a cancer cell or tissue to cause cell death or slow down the growth of the cancer. This treatment has various strategies such as therapeutic gene activation or silencing of unwanted or defective genes; therefore a wide variety of genes and viral or nonviral vectors are being used in studies. Gene therapy strategies in cancer can be classified as inhibition of oncogene activation, activation of tumor suppressor gene, immunotherapy, suicide gene therapy and antiangiogenic gene therapy. In this review, we explain gene therapy, gene therapy strategies in cancer, approved gene medicines for cancer treatment and future of gene therapy in cancer. Today gene therapy has not yet reached the level of replacing conventional therapies. However, with a better understanding of the mechanism of cancer to determine the right treatment and target, in the future gene therapy, used as monotherapy or in combination with another existing treatment options, is likely to be used as a new medical procedure that will make cancer a controllable disease. 相似文献
6.
Sharif Moradi Parisa Torabi Saeed Mohebbi Sara Amjadian Piter Bosma Farnoush Faridbod Vahid Khoddami Morteza Hosseini Sadegh Babashah Maryam Ghotbaddini Arezoo Rasti Faezeh Shekari Hamid Sadeghi-Abandansari Jafar Kiani Mehdi Shamsara Mohammad Kazemi-Ashtiani Samira Gholami 《BioEssays : news and reviews in molecular, cellular and developmental biology》2020,42(6):2000042
7.
Álvaro González-Garcinuño Antonio Tabernero Ángel Domínguez Miguel A. Galán 《Biocatalysis and Biotransformation》2018,36(3):233-244
AbstractNowadays, levan synthesis and its biocatalysis is a step claiming attention due to its promising uses in biomedical field. Levansucrase, as the enzyme responsible of levan biocatalysis is studied in this work concerning sequence homology, signal peptide, metal binding, etc. More than 650 different levansucrase sequences were studied and many interesting results were obtained such as phylogenetic trees and conserved residues that could be essential for biocatalysis machinery. Moreover, a review of levan applications in biomedicine and health field was made. It is showed the advances in applications such as a film agent, a carrier for drug delivery systems, an anti-inflammatory compound or its potential use for functional food as prebiotic. 相似文献
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《Molecular systems biology》2021,17(10)
We need to effectively combine the knowledge from surging literature with complex datasets to propose mechanistic models of SARS‐CoV‐2 infection, improving data interpretation and predicting key targets of intervention. Here, we describe a large‐scale community effort to build an open access, interoperable and computable repository of COVID‐19 molecular mechanisms. The COVID‐19 Disease Map (C19DMap) is a graphical, interactive representation of disease‐relevant molecular mechanisms linking many knowledge sources. Notably, it is a computational resource for graph‐based analyses and disease modelling. To this end, we established a framework of tools, platforms and guidelines necessary for a multifaceted community of biocurators, domain experts, bioinformaticians and computational biologists. The diagrams of the C19DMap, curated from the literature, are integrated with relevant interaction and text mining databases. We demonstrate the application of network analysis and modelling approaches by concrete examples to highlight new testable hypotheses. This framework helps to find signatures of SARS‐CoV‐2 predisposition, treatment response or prioritisation of drug candidates. Such an approach may help deal with new waves of COVID‐19 or similar pandemics in the long‐term perspective. 相似文献
10.
Vladimir Sobeslav Petra Maresova Ondrej Krejcar Tanos C.C. Franca 《Journal of biomolecular structure & dynamics》2016,34(12):2688-2697
Nowadays, biomedicine is characterised by a growing need for processing of large amounts of data in real time. This leads to new requirements for information and communication technologies (ICT). Cloud computing offers a solution to these requirements and provides many advantages, such as cost savings, elasticity and scalability of using ICT. The aim of this paper is to explore the concept of cloud computing and the related use of this concept in the area of biomedicine. Authors offer a comprehensive analysis of the implementation of the cloud computing approach in biomedical research, decomposed into infrastructure, platform and service layer, and a recommendation for processing large amounts of data in biomedicine. Firstly, the paper describes the appropriate forms and technological solutions of cloud computing. Secondly, the high-end computing paradigm of cloud computing aspects is analysed. Finally, the potential and current use of applications in scientific research of this technology in biomedicine is discussed. 相似文献