Maity Swapan, Upreti Akshita, Chowdhury Souvik, Kumar Dubey Dipesh, Harsukhbhai Chandpa Hitesh, Meena Jairam, Kumar Santra Manas, Maiti Pralay
School of Materials Science and Technology, Indian Institute of Technology (Banaras Hindu University), Varanasi, 221005, India.
Department of Biological Sciences, Birla Institute of Technology and Science, Pilani (K. K Birla Goa Campus), Goa, 403726, India.
Small. 2025 Nov;21(44):e06499. doi: 10.1002/smll.202506499. Epub 2025 Sep 18.
Clinical oncology grapples with persistent challenges, particularly the rapid onset of tumor resistance and the systemic limitations of conventional chemotherapeutics such as doxorubicin (Dox). Despite its potency, Dox suffers from poor solubility, non-specific distribution, and severe toxicity, often compromising therapeutic efficacy. Addressing these obstacles, this study explores cobalt-aluminium layered double hydroxides (Co-Al LDHs) as smart nanocarriers for targeted melanoma therapy. Capitalizing on their tunable structure, high drug-loading capacity, and biocompatibility, Co-Al LDHs facilitate enhanced encapsulation, sustained release, and selective tumor accumulation of Dox. Density Functional Theory (DFT) analyses confirm robust molecular interactions between Dox and the LDH matrix, ensuring structural stability and favorable energetics for drug delivery. In vitro assays reveal significant cytotoxicity (≈80%) against melanoma cells and with minimal toxicity (≈8%) to normal muscle cells. Furthermore, in vivo evaluations using luciferase-tagged B16-F10 melanoma models demonstrate pronounced tumor inhibition and excellent systemic biocompatibility. Augmented by machine learning-guided force field modelling, this platform also offers a predictive framework for engineering next-generation nanotherapeutics. Together, these findings position Co-Al LDHs as a promising frontier in nanomedicine, merging targeted delivery, controlled release, and computational precision to overcome current therapeutic barriers in melanoma treatment and beyond.
临床肿瘤学面临着持续的挑战,尤其是肿瘤耐药性的快速出现以及传统化疗药物(如阿霉素,Dox)的全身局限性。尽管Dox具有强大的效力,但它存在溶解度差、分布非特异性和严重毒性等问题,常常影响治疗效果。为了解决这些障碍,本研究探索了钴铝层状双氢氧化物(Co-Al LDHs)作为靶向黑色素瘤治疗的智能纳米载体。凭借其可调节的结构、高载药能力和生物相容性,Co-Al LDHs促进了Dox的增强包封、持续释放和选择性肿瘤蓄积。密度泛函理论(DFT)分析证实了Dox与LDH基质之间存在强大的分子相互作用,确保了结构稳定性和药物递送的有利能量学。体外试验显示对黑色素瘤细胞具有显著的细胞毒性(约80%),而对正常肌肉细胞的毒性极小(约8%)。此外,使用荧光素酶标记的B16-F10黑色素瘤模型进行的体内评估表明具有明显的肿瘤抑制作用和出色的全身生物相容性。通过机器学习引导的力场建模得到增强,该平台还为工程化下一代纳米治疗药物提供了一个预测框架。总之,这些发现使Co-Al LDHs成为纳米医学中一个有前途的前沿领域,融合了靶向递送、控释和计算精度,以克服黑色素瘤治疗及其他领域当前的治疗障碍。