Design of a microfluidic chip consisting of micropillars and its use for the enrichment of nasopharyngeal cancer cells

The effects of doxorubicin loaded aptamer S3-linked DNA tetrahedrons on nasopharyngeal carcinoma

OBJECTIVE

Our research group in the early stage identified CD109 as the target of aptamer S3 in nasopharyngeal carcinoma (NPC). This study was to use S3 to connect DNA tetrahedron (DT) and load doxorubicin (Dox) onto DT to develop a targeted delivery system, and explore whether S3-DT-Dox can achieve targeted therapy for NPC.

METHODS

Aptamer S3-conjugated DT was synthesized and loaded with Dox. The effects of S3-DT-Dox on NPC cells were investigated with laser confocal microscopy, flow cytometry, and MTS assays. A nude mouse tumor model was established from NPC 5-8F cells, and the in vivo anti-tumor activity of S3-DT-Dox was examined by using fluorescent probe labeling and hematoxylin-eosin staining.

RESULTS

The synthesized S3-DT had high purity and stability. S3-DT specifically recognized 5-8F cells and NPC tissues in vitro. When the ratio of S3-DT to Dox was 1:20, S3-DT had the best Dox loading efficiency. The drug release rate reached the maximum (0.402 ± 0.029) at 48 h after S3-DT-Dox was prepared and mixed with PBS. S3-DT did not affect Dox toxicity to 5-8F cells, but reduced Dox toxicity to non-target cells. Meanwhile, S3-DT-Dox was able to specifically target the transplanted tumors and inhibit their growth in nude mice, with minor damage to normal tissues.

CONCLUSION

Our study highlights the ability and safety of S3-DT-Dox to target NPC cells and inhibit the development NPC.

Microfluidic chips: recent advances, critical strategies in design, applications and future perspectives

Microfluidic chip technology is an emerging tool in the field of biomedical application. Microfluidic chip includes a set of groves or microchannels that are engraved on different materials (glass, silicon, or polymers such as polydimethylsiloxane or PDMS, polymethylmethacrylate or PMMA). The microchannels forming the microfluidic chip are interconnected with each other for desired results. This organization of microchannels trapped into the microfluidic chip is associated with the outside by inputs and outputs penetrating through the chip, as an interface between the macro- and miniature world. With the help of a pump and a chip, microfluidic chip helps to determine the behavioral change of the microfluids. Inside the chip, there are microfluidic channels that permit the processing of the fluid, for example, blending and physicochemical responses. Microfluidic chip has numerous points of interest including lesser time and reagent utilization and alongside this, it can execute numerous activities simultaneously. The miniatured size of the chip fastens the reaction as the surface area increases. It is utilized in different biomedical applications such as food safety sensing, peptide analysis, tissue engineering, medical diagnosis, DNA purification, PCR activity, pregnancy, and glucose estimation. In the present study, the design of various microfluidic chips has been discussed along with their biomedical applications.

Computational Simulations in Advanced Microfluidic Devices: A Review

Numerical simulations have revolutionized research in several engineering areas by contributing to the understanding and improvement of several processes, being biomedical engineering one of them. Due to their potential, computational tools have gained visibility and have been increasingly used by several research groups as a supporting tool for the development of preclinical platforms as they allow studying, in a more detailed and faster way, phenomena that are difficult to study experimentally due to the complexity of biological processes present in these models—namely, heat transfer, shear stresses, diffusion processes, velocity fields, etc. There are several contributions already in the literature, and significant advances have been made in this field of research. This review provides the most recent progress in numerical studies on advanced microfluidic devices, such as organ-on-a-chip (OoC) devices, and how these studies can be helpful in enhancing our insight into the physical processes involved and in developing more effective OoC platforms. In general, it has been noticed that in some cases, the numerical studies performed have limitations that need to be improved, and in the majority of the studies, it is extremely difficult to replicate the data due to the lack of detail around the simulations carried out.