| Literature DB >> 32260191 |
Ye Cong1, Xiahe Han2, Youping Wang2, Zongzheng Chen3, Yao Lu4, Tingjiao Liu5, Zhengzhi Wu3, Yu Jin3, Yong Luo1, Xiuli Zhang2.
Abstract
Organ-on-a-chip academic research is in its blossom. Drug toxicity evaluation is a promising area in which organ-on-a-chip technology can apply. A unique advantage of organ-on-a-chip is the ability to integrate drug metabolism and drug toxic processes in a single device, which facilitates evaluation of toxicity of drug metabolites. Human organ-on-a-chip has been fabricated and used to assess drug toxicity with data correlation with the clinical trial. In this review, we introduced the microfluidic chip models of liver, kidney, heart, nerve, and other organs and multiple organs, highlighting the application of these models in drug toxicity detection. Some biomarkers of toxic injury that have been used in organ chip platforms or have potential for use on organ chip platforms are summarized. Finally, we discussed the goals and future directions for drug toxicity evaluation based on organ-on-a-chip technology.Entities:
Keywords: drug metabolism; drug toxicity; organ-on-a-chip
Year: 2020 PMID: 32260191 PMCID: PMC7230535 DOI: 10.3390/mi11040381
Source DB: PubMed Journal: Micromachines (Basel) ISSN: 2072-666X Impact factor: 2.891
Some common biomarkers for drug toxicity evaluation.
| Toxicity | Biomarker | Reference | Specification | Whether Utilized with Organ Chips |
|---|---|---|---|---|
| Hepatotoxicity | ALT (alanine aminotransferase) | [ | Diagnostic marker of liver damage | √ |
| ALP (alkalinephosphatase) | [ | Diagnostic marker of cholestatic injury | √ | |
| GLDH (glutamate dehydrogenase) | [ | Early detection biomarker | × | |
| HMGB-1 (high-mobility group box 1) | [ | Early detection biomarker | × | |
| K18 (keratin-18) | [ | Early detection biomarker | √ | |
| OCT (ornithine carbamoyltransferase) | [ | Early detection biomarker | × | |
| GST-α (glutathione S-transferase α) | [ | Early detection biomarker | √ | |
| CYP (cytochrome P450) | [ | Metabolic ability biomarke | √ | |
| miRNA-122, miRNA-192 | [ | Genomic markers | √ | |
| CDH-5 (cadherin-5) | [ | Proteomics biomarker | √ | |
| FABP1 (fatty acid binding protein 1) | [ | Proteomics biomarker | × | |
| nephrotoxicity | GFR (glomerular filtration rate) | [ | Diagnostic marker of renal function | √ |
| SCr levels and urine output | [ | Diagnostic marker of AKI (acute kidney injury) | √ | |
| KIM-1 (kidney injury molecule-1) | [ | Early detection biomarker | √ | |
| NAG (N-acetyl-β-glucosaminidase) | [ | Early detection biomarker | √ | |
| NGAL (neutrophil gelatinase-associated lipocalin) | [ | Early detection biomarker | √ | |
| L-FABP (liver type fatty acid binding protein) | [ | Early detection biomarker | × | |
| MCP-1 (monocyte chemotactic peptide-1) | [ | Early detection biomarker | × | |
| CYs C (cystatin C) | [ | Early detection biomarker | √ | |
| OPN (osteopontin) | [ | Early detection biomarker | × | |
| CLU (clusterin) | [ | Early detection biomarker | × | |
| TFF3 (trefoil factor 3) | [ | Early detection biomarker | × | |
| TEER (transendothelial resistance) | [ | Biomarker of barrier functions | √ | |
| miRNAs | [ | Genomic markers | √ | |
| cardiotoxicity | LVDP (left ventricular formation pressure) | [ | Diagnostic marker of myocardial injury | √ |
| TnI (troponin I) | [ | Early detection biomarker | × | |
| BNP (brain natriuretic peptide) | [ | Early detection biomarker | × | |
| MPO (myeloperoxidase) | [ | Biomarker of oxidative stress | × | |
| miR-146a, miR-1, miR-133, miR-208, miR-499 | [ | Genomic markers | √ | |
| beating frequency, systolic stress, field potential | [ | Mechanical markers | √ | |
| TEER | [ | Biomarker of barrier functions | √ | |
| neurotoxicity | plasma P-Tau (phosphorylated-Tau) | [ | Diagnostic marker of central nervous system (CNS) injury | × |
| NF-H (neurofilaments heavy subunit) | [ | Diagnostic marker of axonal injury | × | |
| miR-425-p, miR-21, miR-93, miR-191, miR-499,miR-328, miR-362-3p, miR-451, miR-486a | [ | Genomic markers | √ | |
| H-FABP (heart fatty acid binding protein) | [ | Diagnostic marker of CNS injury | × | |
| SP, sCD40L, TIMP-1, MDA, CK-18 | [ | Early detection biomarkers | √ | |
| MBG (marinobufagenin) | [ | Biomarker of neuro-inflammation | × | |
| other toxicities | Ghrelin | [ | Biomarker of stomach/small intestine injury | × |
| DAO (diamine oxidase) | [ | Biomarker of small intestine injury | × | |
| CD64, C-reactive protein | [ | Biomarker of small/large intestine | √ | |
| NOS isoenzymes | [ | Breath biomarkers | √ | |
| HO (heme oxygenase) | [ | Biomarker of upper respiratory tract viral infections | √ | |
| CYP (cytochrome P450) | [ | Biomarker of pulmonary diseases | √ | |
| Breath methylated hydrocarbons | [ | Lipid peroxidation markers | × | |
| TEER | [ | Biomarker of barrier functions | √ |
Figure 1A liver chip system for drug toxicity testing. (A) Specific cell type (human, dog, rat) four-cell culture chip used for drug toxicity test [66]; (B) Perfusion-incubator-liver-chip (PIC) using CO2 gas pressure to drive the perfusion medium, which can be used for chronic toxicity repeated dose drug toxicity tests [67] (C) Liver chip combined with fluorescent probe to track mitochondrial function status in real time to monitor cell viability and metabolic function [68]; (D) Liver chip microdevice with a vascular layer, which is helpful for predicting the mechanism of drug liver toxicity at the microcirculation level [69].
Figure 2A kidney chip system for drug toxicity testing. (A) Design of the human kidney proximal tubule-on-a-chip [77]. (B) Microfluidic device designs for single channel and multi-channel devices, and the final device assembly with notable features marked [81]. (C) Design for the device contains the glomerulus, Bowman’s capsule, proximal renal lumen, and capillary tubules [86].
Figure 3A heart chip system for drug toxicity testing. (A) Schematic of the first microfluidic devices to CMs anisotropy [91]. (B) Representative tissues in the Biowire II platform [96]. (C) Design of the microfluidic device used for integrated heart/cancer-on-a-chip (iHCC) [98].
Figure 4Schematic diagram of the research progress of neural chips. (A) The structure of the human brain organoid-on-a-chip to model prenatal nicotine exposure [112]. (B) Three-dimensional brain-on-a-chip with an interstitial level of flow and its application as an in vitro model of Alzheimer’s disease [114]. (C) A 3D microfluidic device to quantify orientational regeneration of injured neurons in AD by natural product concentration gradients [115].
Figure 5Some other-organ-on-a-chip systems for drug toxicity testing. (A) Schematic representation of the 3-lane OrganoPlate gut-on-a-chip model [122]. (B) A microengineered model of human pulmonary edema [127]. (C) Schematic drawing of the preparation of the in vitro blood–brain barrier (BBB) model [132].