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- 저자 : Chaima Amri (검색결과 2 건)
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Recent Developments in Surface Topography-Modulated Neurogenesis
Chaima Amri,김태형,이진호 한국바이오칩학회 2021 BioChip Journal Vol.15 No.4
Repairing a nervous system damaged following an injury or as a consequence of neurodegeneration is still a challenging task. Yet, topography-based tissue engineering of neurons from different cell sources has demonstrated promising potential in the field. Substrate patterning through a range of methods including photolithography, nanofibers electrospinning, or microimprinting can not only impact the maturity of these vital neural cells but can also orient the differentiation of neural stem cells, a more prolific source of neurons. Furthermore, it has been shown that topography can guide the trans-differentiation of mesenchymal stem cells, a readily accessible cell source, towards a neuronal fate. Thus, in this review, we will cover the most recent methods used in topography-based neural tissue engineering.
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Molecularly imprinted polymers (MIPs): emerging biomaterials for cancer theragnostic applications
Min Seok Kang,Euni Cho,Hye Eun Choi,Chaima Amri,Jin‑Ho Lee,김기수 한국생체재료학회 2023 생체재료학회지 Vol.27 No.00
Cancer is a disease caused by abnormal cell growth that spreads through other parts of the body and threatens life by destroying healthy tissues. Therefore, numerous techniques have been employed not only to diagnose and monitor the progress of cancer in a precise manner but also to develop appropriate therapeutic agents with enhanced efficacy and safety profiles. In this regard, molecularly imprinted polymers (MIPs), synthetic receptors that recognize targeted molecules with high affinity and selectivity, have been intensively investigated as one of the most attractive biomaterials for theragnostic approaches. This review describes diverse synthesis strategies to provide the rationale behind these synthetic antibodies and provides a selective overview of the recent progress in the in vitro and in vivo targeting of cancer biomarkers for diagnosis and therapeutic applications. Taken together, the topics discussed in this review provide concise guidelines for the development of novel MIP-based systems to diagnose cancer more precisely and promote successful treatment.
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