1.AIDS associated with pneumocystis carinii severe pneumonia during epidemic of coronavirus disease 2019: a case report
Yucui SHEN ; Yu LUO ; Jiawei REN ; Jue ZHANG ; Lize XIONG
Chinese Journal of Anesthesiology 2020;40(3):299-301
The identification and diagnosis of coronavirus disease 2019 (COVID-19) is of great significance in the treatment of COVID-19. Based on Diagnosis and Treatment Protocol for COVID-19 (Trial Version 5) issued on February 8, 2020 by the National Health Commission, there is no fungal pneumonia among the disease listed in the identification and diagnosis item. Thus, we reported a case of patient with AIDS associated with pneumocystis carinii severe pneumonia admitted to Shanghai Fourth People′s Hospital affiliated to Tongji University School of Medicine in January, 2020, which was helpful in improving the identification and diagnosis of COVID-19.
2.High-throughput "read-on-ski" automated imaging and label-free detection system for toxicity screening of compounds using personalised human kidney organoids.
Qizheng WANG ; Jun LU ; Ke FAN ; Yiwei XU ; Yucui XIONG ; Zhiyong SUN ; Man ZHAI ; Zhizhong ZHANG ; Sheng ZHANG ; Yan SONG ; Jianzhong LUO ; Mingliang YOU ; Meijin GUO ; Xiao ZHANG
Journal of Zhejiang University. Science. B 2022;23(7):564-577
Organoid models are used to study kidney physiology, such as the assessment of nephrotoxicity and underlying disease processes. Personalized human pluripotent stem cell-derived kidney organoids are ideal models for compound toxicity studies, but there is a need to accelerate basic and translational research in the field. Here, we developed an automated continuous imaging setup with the "read-on-ski" law of control to maximize temporal resolution with minimum culture plate vibration. High-accuracy performance was achieved: organoid screening and imaging were performed at a spatial resolution of 1.1 μm for the entire multi-well plate under 3 min. We used the in-house developed multi-well spinning device and cisplatin-induced nephrotoxicity model to evaluate the toxicity in kidney organoids using this system. The acquired images were processed via machine learning-based classification and segmentation algorithms, and the toxicity in kidney organoids was determined with 95% accuracy. The results obtained by the automated "read-on-ski" imaging device, combined with label-free and non-invasive algorithms for detection, were verified using conventional biological procedures. Taking advantage of the close-to-in vivo-kidney organoid model, this new development opens the door for further application of scaled-up screening using organoids in basic research and drug discovery.
Humans
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Kidney
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Organoids
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Pluripotent Stem Cells