微纳米机器人增强的抗菌治疗
Micro-/Nanorobots for Enhanced Antibacterial Treatment
细菌感染正演变为全球第二大死因,严重威胁着人类的生命健康。目前报道的抗菌疗法如抗生素治疗、光热治疗、光/声动力治疗等效率亟待提高,而微纳米机器人作为一种具有主动运动属性的小型化机器人,有望为高效抗菌提供新的治疗策略。一方面,微纳米机器人能够将抗菌介质精准高效递送至病灶微区;另一方面,机器人的集群运动可引发机械效应与流体搅拌效应,机械损伤病原菌的同时促进其与抗菌介质充分反应,协同提升抗菌效率。本文综述了微纳米机器人在抗菌领域的研究进展,以抗菌微纳米机器人的驱动方式为切入点系统阐述了其在各类抗菌疗法中的作用机制与应用优势,在此基础上总结了微纳米机器人在抗菌治疗中面临的挑战,并对未来的研究方向进行展望。
Bacterial infections, becoming the second leading cause of death in the worldwide, pose a serious threat to public health. Plenty of therapeutic strategies, such as antibiotic therapy, photothermal therapy, photodynamic therapy and sonodynamic therapy, etc., have been developed to treat bacterial infections. However, how to improve the efficiency of antibacterial therapy is still a great challenge. Micro-/nanorobots, as miniaturized robots with active motion properties, are promising to provide new therapeutic strategies for effective antibacterial. On the one hand, micro-/nanorobots can accurately deliver antibacterial media to the micro area of the lesion through their controllable directional movement. On the other hand, the motion of swarms of micro-/nanorobots can also cause mechanical effect and fluid stirring effects, which mechanically damage the pathogen and at the same time, promote the full reaction between pathogens and antibacterial media, so as to enhance the antibacterial efficiency synergistically. In this review, we summarize the important research advances of micro-/nanorobots in the field of antibacterial applications, and start from the driving mode of antibacterial micro-/nanorobots, systematically expounding the mechanism of action and application advantages in various antibacterial treatments. Finally, we discuss the potential challenges faced by micro-/nanorobots in antibacterial therapy and prospect the main directions of future research in this field.
1 Introduction
2 Driving mode of antibacterial micro-/nanorobots
3 Micro-/nanorobots in antibacterial application
3.1 Antibacterial agent delivery
3.2 Enhanced photothermal therapy
3.3 Enhanced photodynamic therapy
3.4 Mechanical disruption
3.5 Synergistic strategies
4 Conclusion and outlook
微纳米机器人 / 协同效应 / 精准控制 / 抗菌治疗 / 主动递送
micro-/nanorobots / synergy effect / precise control / antibacterial treatment / active delivery
| [1] |
|
| [2] |
|
| [3] |
|
| [4] |
|
| [5] |
|
| [6] |
|
| [7] |
|
| [8] |
|
| [9] |
|
| [10] |
|
| [11] |
|
| [12] |
|
| [13] |
|
| [14] |
|
| [15] |
|
| [16] |
|
| [17] |
|
| [18] |
|
| [19] |
|
| [20] |
|
| [21] |
|
| [22] |
|
| [23] |
|
| [24] |
|
| [25] |
|
| [26] |
|
| [27] |
|
| [28] |
|
| [29] |
|
| [30] |
|
| [31] |
|
| [32] |
|
| [33] |
|
| [34] |
|
| [35] |
|
| [36] |
|
| [37] |
|
| [38] |
|
| [39] |
|
| [40] |
|
| [41] |
|
| [42] |
|
| [43] |
|
| [44] |
|
| [45] |
|
| [46] |
|
| [47] |
|
| [48] |
|
| [49] |
|
| [50] |
|
| [51] |
|
| [52] |
|
| [53] |
|
| [54] |
|
| [55] |
|
| [56] |
|
| [57] |
|
| [58] |
|
| [59] |
|
| [60] |
|
| [61] |
|
| [62] |
|
| [63] |
|
| [64] |
|
| [65] |
|
| [66] |
|
| [1] | Huang H Y, Ali A, Liu Y, Xie H, Ullah S, Roy S, Song Z Y, Guo B, Xu J. Adv. Drug Deliv. Rev., 2023, 192: 114634. |
| [2] | Egusquiaguirre S P, Igartua M, Hernández R M, Pedraz J L. Clin. Transl. Oncol., 2012, 14(2): 83. |
| [3] | Hochvaldova L, Vecerova R, Kolar M, Prucek R, Kvitek L, Lapcik L, Panacek A. Nanotechnol. Rev., 2022, 11: 1115. |
| [4] | Chang R, Zhao D H, Zhang C, Liu K Y, He Y M, Guan F X, Yao M H. Int. J. Biol. Macromol., 2023, 226: 870. |
| [5] | He Y M, Liu K Y, Guo S, Chang R, Zhang C, Guan F X, Yao M H. Acta Biomater., 2023, 155: 199. |
| [6] | Wang B, Xu Y, Shao D H, Li L J, Ma Y Q, Li Y H, Zhu J W, Shi X C, Li W L. Front. Bioeng. Biotechnol., 2022, 10: 1047598. |
| [7] | Mussini A, Uriati E, Hally C, Nonell S, Bianchini P, Diaspro A, Pongolini S, Delcanale P, Abbruzzetti S, Viappiani C. Bioconjugate Chem., 2022, 33(4): 666. |
| [8] | Reynoso E, Durantini A M, Solis C A, Macor L P, Otero L A, Gervaldo M A, Durantini E N, Heredia D A. RSC Adv., 2021, 11(38): 23519. |
| [9] | Wei Z X, Teng S Y, Fu Y, Zhou Q, Yang W S. Prog. Org. Coat., 2022, 164: 106703. |
| [10] | Wang M Y, Wang X, Liu B, Lang C Y, Wang W, Liu Y, Wang X,. J. Pharm. Sci., 2023, 112(1): 336. |
| [11] | Medina-Sánchez M, Schmidt O G. Nature, 2017, 545(7655): 406. |
| [12] | Yan M, Liu T Y, Li X F, Zhou S, Zeng H, Liang Q R, Liang K, Wei X B, Wang J Q, Gu Z, Jiang L, Zhao D Y, Kong B. J. Am. Chem. Soc., 2022, 144(17): 7778. |
| [13] | Li J X, Esteban-Fernández de ávila B, Gao W, Zhang L F, Wang J. Sci. Robot., 2017, 2(4): eaam6431. |
| [14] | Xu D D, Zhou C, Zhan C, Wang Y, You Y Q, Pan X, Jiao J P, Zhang R, Dong Z J, Wang W, Ma X. Adv. Funct. Mater., 2019, 29(17): 1807727. |
| [15] | Chen C Y, Chen L J, Wang P P, Wu L F, Song T. J. Magn. Magn. Mater., 2019, 479: 74. |
| [16] | Li J H, Shen H, Zhou H J, Shi R, Wu C T, Chu P K. Mater. Sci. Eng. R Rep., 2023, 152: 100712. |
| [17] | Zhang Z F, Wang L, Chan T K F, Chen Z G, Ip M, Chan P K S, Sung J J Y, Zhang L. Adv. Healthc. Mater., 2022, 11(6): 2101991. |
| [18] | Liu T Y, Xie L, Price C A H, Liu J, He Q, Kong B. Chem. Soc. Rev., 2022, 51(24): 10083. |
| [19] | Zhou H J, Dong G Z, Gao G, Du R, Tang X Y, Ma Y N, Li J H. Cyborg Bionic Syst., 2022, 2022: 9852853. |
| [20] | Gao S, Hou J W, Zeng J, Richardson J J, Gu Z, Gao X, Li D W, Gao M, Wang D W, Chen P, Chen V, Liang K, Zhao D Y, Kong B. Adv. Funct. Mater., 2019, 29(18): 1808900. |
| [21] | Lin Z H, Gao C Y, Wang D L, He Q. Angew. Chem. Int. Ed., 2021, 60(16): 8750. |
| [22] | Wavhale R D, Dhobale K D, Rahane C S, Chate G P, Tawade B V, Patil Y N, Gawade S S, Banerjee S S. Commun. Chem., 2021, 4: 159. |
| [23] | Liu X X, Sun X, Peng Y X, Wang Y, Xu D D, Chen W J, Wang W, Yan X H, Ma X. ACS Nano, 2022, 16(9): 14666. |
| [24] | Schmidt C K, Medina-Sánchez M, Edmondson R J, Schmidt O G. Nat. Commun., 2020, 11: 5618. |
| [25] | Tang S S, Zhang F Y, Gong H, Wei F N, Zhuang J, Karshalev E, de ávila B E F, Huang C Y, Zhou Z D, Li Z X, Yin L, Dong H F, Fang R H, Zhang X J, Zhang L F, Wang J. Sci. Robot., 2020, 5(43): eaba6137. |
| [26] | Liu W J, Ge H B, Ding X Y, Lu X L, Zhang Y N, Gu Z W. Nanoscale, 2020, 12(38): 19655. |
| [27] | Stanton M M, Park B W, Vilela D, Bente K, Faivre D, Sitti M, Sánchez S. ACS Nano, 2017, 11(10): 9968. |
| [28] | Chen C Y, Chen C F, Yi Y, Chen L J, Wu L F, Song T. Biomed. Microdevices, 2014, 16(5): 761. |
| [29] | Shchelik I S, Molino J V D, Gademann K. Acta Biomater., 2021, 136: 99. |
| [30] | Shchelik I S, Sieber S, Gademann K. Chem. Eur. J., 2020, 26(70): 16644. |
| [31] | Zhang F Y, Zhuang J, Li Z X, Gong H, de ávila B E F, Duan Y O, Zhang Q Z, Zhou J R, Yin L, Karshalev E, Gao W W, Nizet V, Fang R H, Zhang L F, Wang J. Nat. Mater., 2022, 21(11): 1324. |
| [32] | Soto F, Lopez-Ramirez M A, Jeerapan I, de Avila B E F, Mishra R K, Lu X L, Chai I, Chen C R, Kupor D, Nourhani A, Wang J. Adv. Funct. Mater., 2019, 29(22): 1900658. |
| [33] | Carlsen R W, Sitti M. Small, 2014, 10(19): 3831. |
| [34] | Xie H, Sun M M, Fan X J, Lin Z H, Chen W N, Wang L, Dong L X, He Q. Sci. Robot., 2019, 4(28): eaav8006. |
| [35] | Hong Y Y, Diaz M, Córdova-Figueroa U M, Sen A. Adv. Funct. Mater., 2010, 20(10): 1568. |
| [36] | de Avila B E F, Angell C, Soto F, Lopez-Ramirez M A, Báez D F, Xie S B, Wang J, Chen Y. ACS Nano, 2016, 10(5): 4997. |
| [37] | Wang L C, Meng Z Y, Chen Y, Zheng Y Y. Adv. Intell. Syst., 2021, 3(7): 2000267. |
| [38] | Cui T T, Wu S, Sun Y H, Ren J S, Qu X G. Nano Lett., 2020, 20(10): 7350. |
| [39] | Ussia M, Urso M, Dolezelikova K, Michalkova H, Adam V, Pumera M. Adv. Funct. Mater., 2021, 31(27): 2101178. |
| [40] | Xie L, Yan M, Liu T Y, Gong K, Luo X, Qiu B L, Zeng J, Liang Q R, Zhou S, He Y J, Zhang W, Jiang Y L, Yu Y, Tang J Y, Liang K, Zhao D Y, Kong B. J. Am. Chem. Soc., 2022, 144(4): 1634. |
| [41] | Xu T L, Gao W, Xu L P, Zhang X J, Wang S T. Adv. Mater., 2017, 29(9): 1603250. |
| [42] | Garcia-Gradilla V, Orozco J, Sattayasamitsathit S, Soto F, Kuralay F, Pourazary A, Katzenberg A, Gao W, Shen Y F, Wang J. ACS Nano, 2013, 7(10): 9232. |
| [43] | de Avila B E F, Angsantikul P, Ramírez-Herrera D E, Soto F, Teymourian H, Dehaini D, Chen Y J, Zhang L F, Wang J. Sci. Robot., 2018, 3(18): eaat0485. |
| [44] | Li J X, Angsantikul P, Liu W J, de Avila B E F, Chang X C, Sandraz E, Liang Y Y, Zhu S Y, Zhang Y, Chen C R, Gao W W, Zhang L F, Wang J. Adv. Mater., 2018, 30(2): 1704800. |
| [45] | Milosavljevic V, Kosaristanova L, Dolezelikova K, Adam V, Pumera M. Adv. Funct. Mater., 2022, 32(43): 2112935. |
| [46] | Zheng C, Li Z Q, Xu T T, Chen L, Fang F, Wang D, Dai P Q, Wang Q T, Wu X Y, Yan X H. Appl. Mater. Today, 2021, 22: 100962. |
| [47] | Gong D, Celi N, Xu L, Zhang D, Cai J. Mater. Today Chem., 2022, 23: 100694. |
| [48] | Villa K, Sopha H, Zelenka J, Motola M, Dekanovsky L, Beketova D C, Macak J M, Ruml T, Pumera M. Small, 2022, 18(36): 2106612. |
| [49] | Elbourne A, Cheeseman S, Atkin P, Truong N P, Syed N, Zavabeti A, Mohiuddin M, Esrafilzadeh D, Cozzolino D, McConville C F, Dickey M D, Crawford R J, Kalantar-Zadeh K, Chapman J, Daeneke T, Truong V K. ACS Nano, 2020, 14(1): 802. |
| [50] | Sun M M, Chan K F, Zhang Z F, Wang L, Wang Q L, Yang S H, Chan S M, Chiu P W Y, Sung J J Y, Zhang L. Adv. Mater., 2022, 34(34): 2201888. |
| [51] | Bhuyan T, Simon A T, Maity S, Singh A K, Ghosh S S, Bandyopadhyay D. ACS Appl. Mater. Interfaces, 2020, 12(39): 43352. |
| [52] | de Avila B E F, Angsantikul P, Li J X, Angel Lopez-Ramirez M, Ramírez-Herrera D E, Thamphiwatana S, Chen C R, Delezuk J, Samakapiruk R, Ramez V, Obonyo M, Zhang L F, Wang J. Nat. Commun., 2017, 8: 272. |
| [53] | Yu Q L, Deng T, Lin F C, Zhang B, Zink J I. ACS Nano, 2020, 14(5): 5926. |
| [54] | Bhuyan T, Singh A K, Ghosh S S, Bandyopadhyay D. Bull. Mater. Sci., 2020, 43(1): 111. |
| [55] | Qi C Y, Zhang Y P, Tu J. Biochem. Eng. J., 2022, 186: 108569. |
| [56] | Lin X, Cao Y B, Li J, Zheng D Y, Lan S Y, Xue Y N, Yu F Q, Wu M, Zhu X J. Biomater. Sci., 2019, 7(7): 2996. |
| [57] | Xie L S, Pang X, Yan X H, Dai Q X, Lin H R, Ye J, Cheng Y, Zhao Q L, Ma X, Zhang X Z, Liu G, Chen X Y. ACS Nano, 2020, 14(3): 2880. |
| [58] | Yuan H X, Li Z L, Wang X Y, Qi R L. Polymers, 2022, 14(17): 3657. |
| [59] | Cheeseman S, Elbourne A, Kariuki R, Ramarao A V, Zavabeti A, Syed N, Christofferson A J, Kwon K Y, Jung W, Dickey M D, Kalantar-Zadeh K, McConville C F, Crawford R J, Daeneke T, Chapman J, Truong V K. J. Mater. Chem. B, 2020, 8(47): 10776. |
| [60] | Gu H, Lee S W, Carnicelli J, Zhang T, Ren D C. Nat. Commun., 2020, 11: 2211. |
| [61] | Chen C Y, Chen L J, Wang P P, Wu L F, Song T. Nanomed. Nanotechnol. Biol. Med., 2017, 13(2): 363. |
| [62] | Daima H K, Selvakannan P R, Kandjani A E, Shukla R, Bhargava S K, Bansal V. Nanoscale, 2014, 6(2): 758. |
| [63] | Liu X, Liu H X, Zhang J Z, Hao Y J, Yang H N, Zhao W B, Mao C. Biomater. Sci., 2022, 10(19): 5608. |
| [64] | Hwang G, Paula A J, Hunter E E, Liu Y, Babeer A, Karabucak B, Stebe K, Kumar V, Steager E, Koo H. Sci. Robot., 2019, 4(29): eaaw2388. |
| [65] | Xu D D, Hu J, Pan X, Sánchez S, Yan X H, Ma X. ACS Nano, 2021, 15(7): 11543. |
| [66] | Lu B T, Hu E L, Xie R Q, Yu K, Lu F, Bao R, Wang C H, Lan G Q, Dai F Y. ACS Appl. Mater. Interfaces, 2021, 13(19): 22225. |
国家自然科学基金(82001845)
广东省机器人与智能系统重点实验室开放基金(XDHT2019588A)
深圳市科技创新委员会基础研究面上项目(JCYJ20190809163407481)
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