Xiaoni Ai

Prof. Dr. Xiaoni Ai


Research Focus & Metrics

Academic Career Length

9Years (2018-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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3 September 2021 in Biotechnology and Bioengineering
Verified
Journal Article
Closed access
PDF file
RXRong‐Rong Xiao
Rong‐Rong Xiao
TLTian Lv
Tian Lv
XTXia Tu
Xia Tu
PLPeiwen Li
Peiwen Li
TWTiantian Wang
Tiantian Wang
XAXiaoni Ai
Xiaoni Ai

16 June 2020 in Lab on a Chip
Verified
Journal Article
Closed access
PDF file
YHYu Hou
Yu Hou
XAXiaoni Ai
Xiaoni Ai
LZLin Zhao
Lin Zhao
ZGZhao Gao
Zhao Gao
YWYujiang Wang
Yujiang Wang
YJYong Jiang
Yong Jiang
The integration of liver metabolism and hepatotoxicity evaluation for anticancer bioactivity assays in vitro is of fundamental importance to better predict the efficacy and safety of anticancer drugs. In particular, there is a lack of co-culture techniques that can fully mimic the physiological microenvironment at speeds consistent with high-throughput screening. Herein, an integrated Biomimetic Array Chip (iBAC) that enables co-culture of three-dimensional (3D) liver and tumor microtissues was developed for advanced anticancer bioactivity screening at throughputs. The iBAC consisted of two functional chips, a liver chip and a tumor chip containing a cross-shaped protrusion on the tip of a pillar array for co-culture. First, the 3D biomimetic liver microtissue on the liver chip was optimized to mimic superior liver function. Next, the constructed iBAC was evaluated for metabolism-induced anticancer bioactivity by using model prodrugs and for the effect of drug–drug interactions. Finally, the functionality of the iBAC for simultaneous evaluation of anticancer bioactivity and hepatotoxicity was verified. The iBAC exhibits superior performance in biomimetic and integrated functions as well as operationally simple and high-throughput co-culture that makes a good balance between functionality and throughput. Overall, the iBAC provides an integrated, biomimetic and high-throughput co-culture platform to complement the conventional bioactivity assay in tiered screening strategies and could be used as a secondary screening tool at the early phase of drug development.

13 March 2018 in Analytical Chemistry
Verified
Journal Article
Closed access
XAXiaoni Ai
Xiaoni Ai
WLWenbo Lu
Wenbo Lu
KZKewu Zeng
Kewu Zeng
CLChun Li
Chun Li
YJYong Jiang
Yong Jiang
PTPengfei Tu
Pengfei Tu

3 September 2022 in Biosensors
Verified
Journal Article
Open access
PDF file
BJBolin Jing
Bolin Jing
LYLei Yan
Lei Yan
JLJiajia Li
Jiajia Li
PLPiaopiao Luo
Piaopiao Luo
XAXiaoni Ai
Xiaoni Ai
PTPengfei Tu
Pengfei Tu
An in vitro human renal proximal tubule model that represents the proper transporter expression and pronounced epithelial polarization is necessary for the accurate prediction of nephrotoxicity. Here, we constructed a high-throughput human renal proximal tubule model based on an integrated biomimetic array chip (iBAC). Primary human renal proximal tubule epithelial cells (hRPTECs) cultured on this microfluidic platform were able to form a tighter barrier, better transporter function and more sensitive nephrotoxicity prediction than those on the static Transwell. Compared with the human immortalized HK2 model, the hRPTECs model on the chip gained improved apical-basolateral polarization, barrier function and transporter expression. Polymyxin B could induce nephrotoxicity not only from the apical of the hRPTECs, but also from the basolateral side on the iBAC. However, other chemotherapeutic agents, such as doxorubicin and sunitinib, only induced nephrotoxicity from the apical surface of the hRPTECs on the iBAC. In summary, our renal proximal tubule model on the chip exhibits improved epithelial polarization and membrane transporter activity, and can be implemented as an effective nephrotoxicity-screening toolkit.

13 November 2024 in Acta Pharmaceutica Sinica B
Verified
Journal Article
Open access
ZGZhao Gao
Zhao Gao
ZDZhiyong Du
Zhiyong Du
YHYu Hou
Yu Hou
KHKun Hua
Kun Hua
PTPengfei Tu
Pengfei Tu
YJYong Jiang
Yong Jiang
Macrophage-mediated inflammation plays a pivotal role in cardiovascular disease pathogenesis. However, current cell-based models lack a comprehensive understanding of crosstalk between macrophages and cardiomyocytes, hindering the discovery of effective therapeutic interventions. Here, a microfluidic model has been developed to facilitate the coculture of macrophages and cardiomyocytes, allowing for mapping key signaling pathways and screening potential therapeutic agents against inflammation-induced dynamic myocardial injury. Through metabolic profiling and bioinformatic enrichment analysis, the microchip model with dynamic cell-cell crosstalk reveals robust activation of inflammatory and oxidative stress-associated metabolic pathways, closely resembling metabolic profiles of myocardial infarction in both humans and rodents. Furthermore, an integrative screening strategy has been established to screen bioactive natural products precisely, identifying ginsenoside Rb1 and protocatechualdehyde as promising cardioprotective candidates in vitro and in vivo. Taken together, the microfluidic coculture model advances mechanistic insight into macrophage-mediated cardio-immunology and may accelerate the discovery of therapeutics for myocardial injury.

18 October 2022 in Lab on a Chip
Verified
Journal Article
Closed access
PDF file
RXRong-Rong Xiao
Rong-Rong Xiao
BJBolin Jing
Bolin Jing
LYLei Yan
Lei Yan
JLJiajia Li
Jiajia Li
PTPengfei Tu
Pengfei Tu
XAXiaoni Ai
Xiaoni Ai
The development of an in vitro model for predicting drug permeability through the human blood–brain barrier (BBB) will greatly accelerate the development of neural therapy. Previously reported platforms for BBB model construction cannot meet the requirements of constant-rate and high-throughput flow, as well as compatibility with the commercial meter for real-time transendothelial electrical resistance (TEER) measurement. Herein, a constant-rate perfused array chip (cPAC) was developed to establish a brain endothelium model for screening drug permeability. The cPAC consisted of 24 units with four layers. Three reservoirs on the top had a 0.5 mm center-to-center spacing, enabling real-time detection of the TEER with the commercial volt–ohm meter. With the optimized chip design, the constant-rate and high-throughput flow by gravity was achieved. Compared with the static culture of the Transwell, the brain endothelium model on the cPAC exhibited superior performance in barrier function, efflux functionality of the transporters, and reversible osmotic opening of the brain endothelium. More importantly, the permeability of model drugs on the cPAC matched the in vivo results with the correlation coefficient reaching 0.994. Finally, the brain endothelium model was cocultured with 3D tumor cells for simultaneous evaluation of drug permeability and brain tumor therapy. The drug efficacy at the target cells on the coculture model was also consistent with clinical findings. These results demonstrated that this platform provides a promising tool for brain endothelium model establishment to predict drug permeability and brain therapy. We anticipate the cPAC to be widely accepted for establishing various barrier models.