Microrobotic swarms hold great promise for the revolution of cancer treatment. The coordination of miniaturized microrobots offers a unique approach to treating cancers at the cellular level with enhanced delivery efficiency and environmental adaptability. Prior studies have summarized the design, functionalization, and biomedical applications of microrobotic swarms. The strategies for actuation and motion control of swarms have also been introduced. In this review, we first give a detailed introduction to microrobot swarming. We then explore the design of microrobots and microrobotic swarms specifically engineered for cancer therapy, with a focus on tumor targeting, infiltration, and therapeutic efficacy. Moreover, the latest developments in active delivery methods and imaging techniques that enhance the precision of these systems are discussed. Finally, we categorize and analyze the various cancer therapies facilitated by functional microrobotic swarms, highlighting their potential to revolutionize treatment strategies for different cancer types.

Gecko-inspired dry adhesives have shown great potential in the field of robotics. However, there is still a large gap between current artificial adhesive-based grippers and natural geckos, especially in terms of precise and fast control of adhesion, which is an important capability for robotic gripper systems, since the targets to be gripped may vary in size and weight (including thin, fragile, soft, and deformable), and manipulation must be fast to meet high productivity requirements. Here, we propose a robotic gripper that is able to switch adhesion rapidly (in less than 0.5 s) to grasp and release objects of various sizes and weights (such as glass substrates, fragile silicon wafers, and deformable polyethylene terephthalate films) by mimicking the self-peeling behavior of gecko toe pads. The gripper retains the fast and stable manipulation of the conventional mechanical gripper, which is more reliable and has a higher load capacity than stimulus-responsive switchable adhesives. Systematic experimental and theoretical studies provide insights into the construction and analysis of the self-peeling model and mechanism to identify certain crucial parameters affecting the self-peeling behavior. Furthermore, a strategy for active adhesion control (i.e., precise adhesion modulation) is integrated by introducing a preset peeling angle θ_B, providing the gripper with a quantitative criterion for adjusting the adhesion strength (0 to 82.77 kPa) according to the requirements of practical applications. The gripper has great potential to be an alternative end-operating gripper for robotic systems, opening an avenue for the development of robotic manipulation.

Computed tomography perfusion (CTP) plays a crucial role in guiding reperfusion therapy and patient selection for acute ischemic stroke (AIS) through perfusion parameter maps of the brain; however, its widespread use is limited by the complexity of acquisition protocols and high radiation dose. Previous studies have attempted to reduce radiation exposure by equally lowering the temporal sampling rate; however, it may miss the peak of arterial enhancement, leading to underestimation of blood flow parameter. Here, we investigate the feasibility of using a generative adversarial network (GAN) to generate perfusion maps from 3 phases of CTP (mCTP). The three phases were chosen based on the multiphase computed tomography angiography scanning protocol: the peak arterial input function phase, the peak venous output function phase, and the delayed venous output function phase. The findings demonstrate that the GAN model achieved high visual overlap and performance for cerebral blood flow and time-to-maximum maps, with a mean structural similarity index measure of 0.921 to 0.971 and 0.817 to 0.883, a mean normalized root mean squared error of 0.019 to 0.108 and 0.058 to 0.064, and a mean learned perceptual image patch similarity of 0.039 to 0.088 and 0.141 to 0.146, respectively. For the 2 external datasets, the volume agreement between the model- and CTP-derived infarct and hypoperfusion areas was the intraclass correlation coefficient of 0.731 to 0.883 and 0.499 to 0.635, and the Spearman correlation coefficient of 0.720 to 0.808 and 0.533 to 0.6540, respectively. Qualitative assessments of diagnostic quality further confirmed that the mCTP-derived maps were comparable to those obtained from traditional CTP. In conclusion, the GAN-based model is effective in generating perfusion maps from mCTP, which could serve as a viable alternative to traditional CTP in the diagnostic evaluation of AIS.

Fusobacterium nucleatum (Fn), an oral anaerobic commensal, has recently been identified as a crucial oncogenic contributor to colorectal cancer pathogenesis through its ectopic colonization in the gastrointestinal tract. Accumulating evidence reveals its multifaceted involvement in colorectal cancer initiation, progression, metastasis, and therapeutic resistance to conventional treatments, including chemotherapy, radiotherapy, and immunotherapy. This perspective highlights recent advances in anti-Fn strategies, including small-molecule inhibitors, nanomedicines, and biopharmaceuticals, while critically analyzing the translational barriers in developing targeted antimicrobial interventions. We further propose potential strategies to overcome current challenges in Fn modulation, aiming to pave the way for more effective therapeutic interventions and better clinical outcomes.

The stages of transcription initiation and elongation are critical in the regulation of HIV-1 gene expression. Recent single-molecule imaging in living cells has shown that HIV-1 transcription occurs across multiple time scales and plays a key role in the control of latency. However, the molecular mechanisms of HIV-1 transcription remain poorly understood due to the lack of a unified modeling framework and advanced computational methods for analyzing HIV-1 imaging data. Here, we present a general stochastic model that characterizes HIV-1 transcription dynamics and computes the distributions of initiation times and nascent RNA counts. Our results show that coordination between initiation and elongation modulates transcription dynamics and that leveraging initiation-time data enhances model identification. Meanwhile, we develop a statistical inference method that integrates initiation-time data and nascent RNA data. Our results show that incorporating initiation-time data allows for accurate inference of the initiation rate and elongation time, with these parameter estimates being independent of the models used. When applied to HIV-1 transcription data in living cells, our theory and inference methods confirm the dual role of Tat in HIV-1 transcriptional regulation. In addition, the optimal predictive model indicates that Tat induces viral reactivation and latency exit by altering the number of silent states of the promoter. Our approach may provide the potential to improve current HIV-1 cure strategies.

Slow wound healing in the elderly has attracted much attention recently due to the associated infection risks and decreased longevity. The “brain–skin axis” theory suggests that abnormalities in the brain and nervous system can lead to skin degeneration because abnormal mental states, like chronic stress, can have negative physiological and functional effects on the skin through a variety of processes, resulting in delayed wound healing and accelerated skin aging. However, it remains unclear whether maintaining a youthful brain has beneficial effects on aged skin healing. In light of this, we identified youthful brain-derived extracellular vesicles (YBEVs) and created a composite GelMA hydrogel material that encourages scarless wound healing in aged skin. We found that YBEVs reduce the expression of senescence, senescence-associated secretory phenotypes, and inflammation-associated proteins, and even restore dysfunction in senescent cells. Furthermore, by encouraging collagen deposition, angiogenesis, epidermal and dermal regeneration, and folliculogenesis, we demonstrated that YBEV-containing composite hydrogels accelerated scarless wound healing in skin wounds of aged rats. The pro-repairing speed and effect of this composite hydrogel even matched that of young rats. Subsequent proteomic analysis revealed the presence of numerous proteins within YBEVs, some of which may play a role in the regulation of skin energy intake, particularly through oxidative phosphorylation and mitochondrial function. In conclusion, the findings suggest that maintaining a youthful brain could potentially alleviate skin aging, and the proposed YBEVs-GelMA hydrogel emerges as a promising strategy for addressing age-related impairments in skin healing.

Adoptive T cell therapy has shown great promise in the treatment of solid tumors, which, however, poses a great challenge to obtain autologous tumor-reactive T cells in a cost-effective manner. Here, we present a dynamic tumor immunology-on-a-chip, mimicking immune responses, for achieving the enrichment and expansion of tumor-reactive T cells. Tumor spheroids with uniform size can be generated by seeding tumor cells in hydrogel-embedded micropillar arrays, and could be trapped upon removal of hydrogel. Then, T cells were infused and fully contacted with these tumor spheroids under biomimetic flow conditions provided by herringbone-patterned microgrooves arrays. We found that the tamed tumor-reactive T cells could be fully activated and a rapid clonal proliferation was realized during the cultivation. In addition, these tumor-reactive T cells exhibited a specific and powerful tumor-killing capability in vitro. Thus, the suggested dynamic microfluidic chips with staged structure-transformable properties realize both the producible formation of tumor spheroids and the recapitulation of tumor-immune crosstalk to expand tumor-reactive T cells. These features indicate that the dynamic and reproducible tumor immunology-on-a-chip has potential in the preparation of therapeutic T cell products for clinical cancer immunotherapy.

Prussian blue and Prussian blue analogs are widely used in sodium-ion batteries (SIBs). In this study, we upcycle the degraded Prussian blue directly into layered materials for SIBs through thermal treatment. Prussian blue thermally decomposes to form metal oxides, which then recrystallize into layered metal oxides with metal–nitrogen bond on their surface under suitable temperature conditions. This transformation method is similar to solid-state synthesis, allowing for the pre-addition of necessary components before material conversion to optimize the composition and integrity of the target materials. Based on in situ x-ray diffraction observations of the crystal structure changes of Prussian blue at different temperatures, we demonstrate 1,000 °C as the optimal temperature for converting to layered materials. These materials exhibit an initial discharge capacity of 122.3 mAh g⁻¹ and good rate and cycling stability. We hope that this research will promote the sustainable development of the SIB industry.

Fat-1, an enzyme encoded by the fat-1 gene, is responsible for the conversion of endogenous omega-6 polyunsaturated fatty acids into omega-3 polyunsaturated fatty acids in Caenorhabditis elegans. To better investigate whether the expression of Fat-1 will exert a beneficial function in dyslipidemia and metabolic dysfunction-associated fatty liver disease (MAFLD), we established an adeno-associated virus 9 expressing Fat-1. We found that adeno-associated-virus-mediated expression of Fat-1 markedly reduced the levels of plasma triglycerides and total cholesterol but increased high-density lipoprotein levels in male wild-type hamsters on both chow diet and high-fat diet as well as in chow-diet-fed male LDLR^−/− hamsters. Fat-1 ameliorated diet-induced MAFLD in wild-type hamsters by enhancing fatty acid oxidation through the hepatic peroxisome proliferator-activated receptor α (PPARα)-dependent pathway. Mechanistically, Fat-1 increased the levels of multiple lipid derivatives as ligands for PPARα and simultaneously facilitated the nuclear localization of PPARα. Our results provide new insights into the multiple therapeutic potentials of Fat-1 to treat dyslipidemia, MAFLD, and atherosclerosis.