Despite the recognition that the gut microbiota acts a clinically significant role in cancer chemotherapy, both mechanistic understanding and translational research are still limited. Maximizing drug efficacy requires an in-depth understanding of how the microbiota contributes to therapeutic responses, while microbiota modulation is hindered by the complexity of the human body. To address this issue, a 3D experimental model named engineered microbiota (EM) is reported for bridging microbiota-drug interaction research and therapeutic decision-making. EM can be manipulated in vitro and faithfully recapitulate the human gut microbiota at the genus/species level while allowing co-culture with cells, organoids, and isolated tissues for testing drug responses. Examination of various clinical and experimental drugs by EM reveales that the gut microbiota affects drug efficacy through three pathways: immunological effects, bioaccumulation, and drug metabolism. Guided by discovered mechanisms, custom-tailored strategies are adopted to maximize the therapeutic efficacy of drugs on orthotopic tumor models with patient-derived gut microbiota. These strategies include immune synergy, nanoparticle encapsulation, and host-guest complex formation, respectively. Given the important role of the gut microbiota in influencing drug efficacy, EM will likely become an indispensable tool to guide drug translation and clinical decision-making.

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In the process of single-chip microcomputer teaching, there exist many problems, such as, the disconnection between theory and practice, low utilization for experimental resources and a misfit in experimental mode, etc. which caused students' application ability not to be improved substantially. Based on the teaching practice, the authors tried to make each student have a MCU core board and improve the teaching effect, by the means of reforming teaching methods, strengthening the practical process, improving the teaching resources, and perfecting the appraisal system and the matching facilities.

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