Hepatology and drug development for liver diseases require in vitro liver models. Typical models include 2D planar primary hepatocytes, hepatocyte spheroids, hepatocyte organoids, and liver-on-a-chip. Liver-on-a-chip has emerged as the mainstream model for drug development because it recapitulates the liver microenvironment and has good assay robustness such as reproducibility. Liver-on-a-chip with human primary cells can potentially correlate clinical testing. Liver-on-a-chip can not only predict drug hepatotoxicity and drug metabolism, but also connect other artificial organs on the chip for a human-on-a-chip, which can reflect the overall effect of a drug. Engineering an effective liver-on-a-chip device requires knowledge of multiple disciplines including chemistry, fluidic mechanics, cell biology, electrics, and optics. This review first introduces the physiological microenvironments in the liver, especially the cell composition and its specialized roles, and then summarizes the strategies to build a liver-on-a-chip via microfluidic technologies and its biomedical applications. In addition, the latest advancements of liver-on-a-chip technologies are discussed, which serve as a basis for further liver-on-a-chip research.

The poor metabolic ability of cell lines fails to meet the requirements of an in vitro model for drug interaction testing which is crucial for the development or clinical application of drugs. Herein, we describe a liver sinusoid-on-a-chip device composed of four kinds of transformed cell lines (HepG2 cells, LX-2 cells, EAhy926 cells, and U937 cells) that were ordered in a physiological distribution with artificial liver blood flow and biliary efflux flowing in the opposite direction. This microfluidic device applied three-dimensional culturing of HepG2 cells with high density (10⁷ ml⁻¹), forming a tightly connected monolayer of EAhy926 cells and achieving the active transport of drugs in HepG2 cells. Results showed that the device maintained synthetic and secretory functions, preserved cytochrome P450 1A1/2 and uridine diphosphate glucuronyltransferase enzymatic activities, as well as sensitivity of drug metabolism. The cell lines derived device enables the investigation of a drug-drug interaction study. We used it to test the hepatotoxicity of acetaminophen and the following combinations: “acetaminophen + rifampicin,” “acetaminophen + omeprazole,” and “acetaminophen + ciprofloxacin.” The variations in hepatotoxicity of the combinations compared to acetaminophen alone, which is not found in a 96-well plate model, in the device were −17.15%, 14.88%, and −19.74%. In addition, this result was similar to the one tested by the classical primary hepatocyte plate model (−13.22%, 13.51%, and −15.81%). Thus, this cell lines derived liver model provides an alternative to investigate drug hepatotoxicity, drug-drug interaction.

Microfluidic chips have been proved effective in mimicking different organs of human body. Simulating human ovarian follicles by microfluidic device will be useful in exploring the mechanism of folliculogenesis and related diseases. In this paper, a microfluidic chip was designed to culture a single human pre-antral follicle. Ovarian follicles were first encapsulated in 3D calcium alginate hydrogel beads and then cultured on chip and in dish under same conditions. The diameters of cultured ovarian follicles were measured, and the same amount of medium was collected from microfluidic device or dish per two days for measuring the estradiol and androgen concentrations. The results confirmed the successful growth of ovarian follicles on chip with their hormonal trends and diameters increase, which were similar to ovarian follicles cultured in dish. It is concluded that this microfluidic chip can be used to culture a single human ovarian follicle, which provides a useful tool to explore the hormonal changes and their interactions during folliculogenesis.

Hepatoprotectant is critical for the treatment of liver disease. This study first reported the application of a liver chip in the hepatoprotective effect assessment. We first established a biomimetic sinusoid-on-a-chip by laminating four types of hepatic cell lines (HepG2, HUVEC, LX-2, and U937 cells) in a single microchannel with the help of laminar flow in the microchannel and some micro-fences. This chip was straightforward to fabricate and operate and was able to be long-term cultured. It also demonstrated better hepatic activity (cell viability, albumin synthesis, urea secretion, and cytochrome P450 enzyme activities) over the traditional planar cell culture model. Then, we loaded three hepatoprotectants (tiopronin, bifendatatum, and glycyrrhizinate) into the chip followed by the addition of acetaminophen as a toxin. We successfully observed the hepatoprotective effect of these hepatoprotectants in the chip, and we also found that bifendatatum predominantly reduced alanine transaminase secretion, tiopronin predominantly reduced lactate dehydrogenase secretion, and glycyrrhizinate predominantly reduced aspartate transaminase secretion, which revealed the different mechanisms of these hepatoprotectants and provided a clue for following molecular biological study of the protecting mechanism.

Neuron-immune interaction through secreted factors contributes significantly to the complex microenvironment in the central nervous system that could alter cell functionalities and fates in both physiological and pathological conditions, which remains poorly characterized at the single-cell level. Herein, using a spatially patterned antibody barcode microchip, we realized the mapping of 12 different secretomes, covering cytokines, neurotrophic factors (NFs), and neuron-derived exosomes (NDEs) from high-throughput, paired single cells (≥ 600) simultaneously under normal conditions and an Alzheimer’s disease (AD) model induced with amyloid beta protein 1-42 (Aβ _1–42 ). We applied the platform to analyze the secretion profiles from paired neuron–macrophage and neuron–microglia single cells with human cell lines. We found that pairwise neuron–macrophage interaction would trigger immune responses and attenuate neuron cells’ secretion, while neuron–microglia interaction generally results in opposite outcomes in secretion. When neuron cells are induced with Aβ _1–42 protein into the AD model, both neuron–macrophage and neuron–microglia interactions lead to increased cytokines and NDEs and decreased NFs. Further analysis of AD patients’ serum showed that NDEs were significantly higher in patients’ samples than in the control group, validating our observation from the interaction assay. Furthermore, we resolved previously undifferentiated heterogeneity underlying the secretions from single-neuron cells. We found that the NDE and NF secretion was less dependent on the paracrine signaling between one another and that secretions from neuron cells would attenuate after differentiation with Aβ _1–42 . This study demonstrates the mapping of the different secretomes from paired neuron-immune single cells, providing avenues for understanding how neurons and immune cells interact through the complex secretome network.