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4. Messenger RNA electroporated hepatitis B virus (HBV) antigen-specific T cell receptor (TCR) redirected T cell therapy is well-tolerated in patients with recurrent HBV-related hepatocellular carcinoma post-liver transplantation: results from a phase I trial

Author

Yang, Fan, Zheng, Xiaofang, Koh, Sarene, Lu, Jianxi, Cheng, Jintao, Li, Panlong, Du, Cong, Chen, Yunhao, Chen, Xiaoyan, Yang, Li, Chen, Wanxin, Wong, Regina Wanju, Wai, Lu‑En, Wang, Tingting, Zhang, Qi, and Chen, Wenjie

Published
2023
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10. Electrosorption Mechanism of Zwitterionic Amino Acid Neurotransmitters in Iontronic Devices.

Author

Li, Panlong, Tarasova, Anna, Slesinski, Adam, Bräuniger, Yannik, Galek, Przemyslaw, Grothe, Julia, and Kaskel, Stefan

Subjects
*AMINO acid neurotransmitters, *ZWITTERIONS, *SPACE charge, *CARBON electrodes, *NEGATIVE electrode, *POROUS electrodes, *GABA
Abstract

Neurotransmitters carrying specific chemical information play a key role in the nervous system, which inspires ion‐based devices to mimic biological functions of nervous system, including sensing, transduction, and computing. In this work, the interaction mechanism of zwitterionic amino acids, glycine (Gly), and gamma‐aminobutyric acid (GABA) (two common inhibitory neurotransmitters) are analyzed with porous carbon electrodes. The charge balance of these zwitterionic neurotransmitters relies on zwitterion protonation in the vicinity of the negative electrodes (produced cations adsorbed by the negative electrode) and deprotonation near the positive electrode (produced anions to balance the positive charges) as demonstrated based on the theoretical dissociation analyses and local pH measurements. Additionally, electrosorption‐induced concentration changes of Gly and GABA in aqueous solutions and phosphate‐buffered saline (PBS) solutions are realized by electrosorption via nanoporous carbon electrodes. Based on this mechanistic understanding, the ionologic functions in printed ionic electrolyte double‐layer transistors are demonstrated. These neurotransmitter‐based iontronic devices hold potential for further organism‐machine interfacing and neuromorphic computing applications. [ABSTRACT FROM AUTHOR]

Published
2024
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23. General Design Concepts for CAPodes as Ionologic Devices

Author

Zhou, Hanfeng, primary, Li, Panlong, additional, Zhang, En, additional, Kunigkeit, Jonas, additional, Zhou, Xiongjun, additional, Haase, Katherina, additional, Rita Ortega Vega, Maria, additional, Wang, Shuwen, additional, Xu, Xiaosa, additional, Grothe, Julia, additional, Mannsfeld, Stefan C. B., additional, Brunner, Eike, additional, Kaneko, Katsumi, additional, and Kaskel, Stefan, additional

Published
2023
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27. Bioactive Ion‐Based Switchable Supercapacitors

Author

Li, Panlong, primary, Bräuniger, Yannik, additional, Kunigkeit, Jonas, additional, Zhou, Hanfeng, additional, Ortega Vega, Maria Rita, additional, Zhang, En, additional, Grothe, Julia, additional, Brunner, Eike, additional, and Kaskel, Stefan, additional

Published
2022
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32. Clinical Prediction of Heart Failure in Hemodialysis Patients: Based on the Extreme Gradient Boosting Method

Author

Wang, Yanfeng, Miao, Xisha, Xiao, Gang, Huang, Chun, Sun, Junwei, Wang, Ying, Li, Panlong, and You, Xu

Subjects
Genetics, Molecular Medicine, Genetics (clinical)
Abstract

Background: Heart failure (HF) is the main cause of mortality in hemodialysis (HD) patients. However, it is still a challenge for the prediction of HF in HD patients. Therefore, we aimed to establish and validate a prediction model to predict HF events in HD patients.Methods: A total of 355 maintenance HD patients from two hospitals were included in this retrospective study. A total of 21 variables, including traditional demographic characteristics, medical history, and blood biochemical indicators, were used. Two classification models were established based on the extreme gradient boosting (XGBoost) algorithm and traditional linear logistic regression. The performance of the two models was evaluated based on calibration curves and area under the receiver operating characteristic curves (AUCs). Feature importance and SHapley Additive exPlanation (SHAP) were used to recognize risk factors from the variables. The Kaplan–Meier curve of each risk factor was constructed and compared with the log-rank test.Results: Compared with the traditional linear logistic regression, the XGBoost model had better performance in accuracy (78.5 vs. 74.8%), sensitivity (79.6 vs. 75.6%), specificity (78.1 vs. 74.4%), and AUC (0.814 vs. 0.722). The feature importance and SHAP value of XGBoost indicated that age, hypertension, platelet count (PLT), C-reactive protein (CRP), and white blood cell count (WBC) were risk factors of HF. These results were further confirmed by Kaplan–Meier curves.Conclusions: The HF prediction model based on XGBoost had a satisfactory performance in predicting HF events, which could prove to be a useful tool for the early prediction of HF in HD.

Published
2022

33. Bioactive Ion-Based Switchable Supercapacitors

Author

Li, Panlong, Bräuniger, Yannik, Kunigkeit, Jonas, Zhou, Hanfeng, Ortega Vega, Maria Rita, Zhang, En, Grothe, Julia, Brunner, Eike, Kaskel, Stefan, Li, Panlong, Bräuniger, Yannik, Kunigkeit, Jonas, Zhou, Hanfeng, Ortega Vega, Maria Rita, Zhang, En, Grothe, Julia, Brunner, Eike, and Kaskel, Stefan

Abstract

Switchable supercapacitors (SCs) enable a reversible electrically-driven uptake/release of bioactive ions by polarizing porous carbon electrodes. Herein we demonstrate the first example of a bioactive ion-based switchable supercapacitor. Based on choline chloride and porous carbons we unravel the mechanism of physisorption vs. electrosorption by nuclear magnetic resonance, Raman, and impedance spectroscopy. Weak physisorption facilitates electrically-driven electrolyte depletion enabling the controllable uptake/release of electrolyte ions. A new 4-terminal device is proposed, with a main capacitor and a detective capacitor for monitoring bioactive ion adsorption in situ. Ion-concentration control in printed choline-based switchable SCs realizes switching down to 8.3 % residual capacitance. The exploration of adsorption mechanisms in printable microdevices will open an avenue of manipulating bioactive ions for the application of drug delivery, neuromodulation, or neuromorphic devices.

Published
2022

37. pathway toward practical application of lithium-metal anodes for non-aqueous secondary batteries.

Author

Li, Panlong, Fang, Zhong, Dong, Xiaoli, Wang, Congxiao, and Xia, Yongyao

Subjects
*STORAGE batteries, *ANODES, *ENERGY density, *FAILURE mode & effects analysis, *MOTOR vehicles
Abstract

The revolution of automotive vehicles (from petrol vehicles to electric vehicles) has set high demands for the performance of batteries. Lithium-metal batteries (LMBs) show great potential owing to their high energy density but encounter poor cycle life and safety issues. It is of great significance to reveal LMB failure mechanisms and understand their relationship with battery performance. This review presents an overview of the state-of-the-art Li-metal anodes, with an emphasis on two typical failure modes: capacity degradation and dendritic growth of Li metal. The critical correlations between the composition, structure and failure are explained point by point. The chemical and electrochemical stabilities of the lithium anode are discussed. Particularly, for the first time, five types of lithium-metal anodes are classified to develop a comprehensive understanding of LMBs. Furthermore, strategies are suggested to improve the practical performance of LMBs, including material innovation, electrolyte modification and advanced characterization. [ABSTRACT FROM AUTHOR]

Published
2022
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38. Tracer‐specific reference tissues selection improves detection of 18F‐FDG, 18F‐florbetapir, and 18F‐flortaucipir PET SUVR changes in Alzheimer's disease.

Author

Li, Yanxiao, Ng, Yee Ling, Paranjpe, Manish D., Ge, Qi, Gu, Fengyun, Li, Panlong, Yan, Shaozhen, Lu, Jie, Wang, Xiuying, and Zhou, Yun

Subjects
ALZHEIMER'S disease, POSITRON emission tomography, GRAY matter (Nerve tissue), GLUCOSE metabolism, BRAIN metabolism
Abstract

This study sought to identify a reference tissue‐based quantification approach for improving the statistical power in detecting changes in brain glucose metabolism, amyloid, and tau deposition in Alzheimer's disease studies. A total of 794, 906, and 903 scans were included for 18F‐FDG, 18F‐florbetapir, and 18F‐flortaucipir, respectively. Positron emission tomography (PET) and T1‐weighted images of participants were collected from the Alzheimer's disease Neuroimaging Initiative database, followed by partial volume correction. The standardized uptake value ratios (SUVRs) calculated from the cerebellum gray matter, centrum semiovale, and pons were evaluated at both region of interest (ROI) and voxelwise levels. The statistical power of reference tissues in detecting longitudinal SUVR changes was assessed via paired t‐test. In cross‐sectional analysis, the impact of reference tissue‐based SUVR differences between cognitively normal and cognitively impaired groups was evaluated by effect sizes Cohen's d and two sample t‐test adjusted by age, sex, and education levels. The average ROI t values of pons were 86.62 and 38.40% higher than that of centrum semiovale and cerebellum gray matter in detecting glucose metabolism decreases, while the centrum semiovale reference tissue‐based SUVR provided higher t values for the detection of amyloid and tau deposition increases. The three reference tissues generated comparable d images for 18F‐FDG, 18F‐florbetapir, and 18F‐flortaucipir and comparable t maps for 18F‐florbetapir and 18F‐flortaucipir, but pons‐based t map showed superior performance in 18F‐FDG. In conclusion, the tracer‐specific reference tissue improved the detection of 18F‐FDG, 18F‐florbetapir, and 18F‐flortaucipir PET SUVR changes, which helps the early diagnosis, monitoring of disease progression, and therapeutic response in Alzheimer's disease. [ABSTRACT FROM AUTHOR]

Published
2022
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44. Tau PET Distributional Pattern in AD Patients with Visuospatial Dysfunction

Author

Sun, Xi, primary, Nie, Binbin, additional, Zhao, Shujun, additional, Chen, Qian, additional, Li, Panlong, additional, Zhang, Tianhao, additional, Pan, Tingting, additional, Feng, Ting, additional, Wang, Luying, additional, Yin, Xiaolong, additional, Zhang, Wei, additional, Zhao, Shilun, additional, Shan, Baoci, additional, Liu, Hua, additional, Liang, Shengxiang, additional, Ai, Lin, additional, and Wang, Guihong, additional

Published
2019
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45. A human brain tau PET template in MNI space for the voxel-wise analysis of Alzheimer’s disease

Author

Sun, Xi, primary, Liang, Shengxiang, additional, Fu, Liping, additional, Zhang, Xiaojun, additional, Feng, Ting, additional, Li, Panlong, additional, Zhang, Tianhao, additional, Wang, Luying, additional, Yin, Xiaolong, additional, Zhang, Wei, additional, Hu, Yichao, additional, Liu, Hua, additional, Zhao, Shujun, additional, Nie, Binbin, additional, Xu, Baixuan, additional, and Shan, Baoci, additional

Published
2019
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49. Spatial Distribution Patterns and the Evolution Process of Carbon Storage in a Typical Karst Canyon Area

Author

Luo Guangjie, Wang Shijie, Bai Xiaoyong, Qin Luoyi, Li Yue, LI Panlong, and Zhang Siyu

Subjects
Canyon, Hydrology, Environmental Engineering, geography.geographical_feature_category, Ecology, Land use, chemistry.chemical_element, Vegetation, Carbon sequestration, Karst, Geography, chemistry, Terrestrial ecosystem, Quadrat, Carbon, Ecology, Evolution, Behavior and Systematics
Abstract

Qinglong County in Guizhou, China is a typical karst canyon area. Using quadrat methods and a land use transfer matrix we studied the carbon storage spatial distribution pattern and evolution process over three independent periods (1988, 1999 and 2009) in this area. Based on the results we estimated the carbon pool capacity of the entire karst canyon area in Guizhou and contribution ratios. Carbon storage and average carbon density of the karst area in Qinglong decreased at first, and then increased over the sampling period. The actual carbon storage of the karst canyon area in Guizhou was estimated to be 42.55 Tg. The average carbon intensity of the karst canyon area in Guizhou is far higher than that of national terrestrial ecosystems, especially in vegetation areas. Through cross comparison, we found that karst canyon areas have great carbon sequestration potential and we suggest that it is necessary to control and prevent rocky desertification in karst areas in China.

Published
2015

50. Spatial–Temporal Evolution of Soil Erosion in a Typical Mountainous Karst Basin in SW China, Based on GIS and RUSLE

Author

Li Yue, Luoyi Qin, Xiaoyong Bai, Yichao Tian, Xiao Tian, Yunchao Zhou, and Li Panlong

Subjects
Hydrology, geography, Multidisciplinary, geography.geographical_feature_category, 010504 meteorology & atmospheric sciences, Drainage basin, Soil classification, Structural basin, 010502 geochemistry & geophysics, Karst, 01 natural sciences, Universal Soil Loss Equation, Erosion, Geotechnical engineering, Dryland salinity, WEPP, Geology, 0105 earth and related environmental sciences
Abstract

In this study, we address the characteristics of the spatial and temporal evolution of soil erosion in karstic mountainous area of Houzhai River Basin of southwest China. The study uses GIS, erodibility test results, actual surveys of soil types, a revised universal soil loss equation for estimating soil erosion in 1973, 1990, 2002, and 2013, and an analysis of the spatial and temporal distribution of the evolution law of soil erosion for almost 40 years. Results show the following: (1) The soil erosion modulus of the Houzhai River Basin exhibits a decrease from 222.72 t km−2 year−1 in 1973 to 103.82 t km−2 year−1 in 2013. (2) The intensity level of soil erosion changes across space. The most active area is mainly concentrated in the upstream peak cluster depression. Areas with a slope of 8°–25° account for 40.81 % of the total erosion contribution rate, indicating that these are the main areas where erosion occurs. (3) The global and universal classification standard of soil erosion shows that the Houzhai River Basin areas above 65 % do not undergo micro-erosion. The rocky desertification is a serious problem, which explains why grading standard soil erosion intensity is inapplicable to karst areas. (4) The average soil erosion modulus in the basin is generally low (i.e., below 1000 t km−2 year−1), which indicates strong karstification in the karst areas. This process can occur through subsurface pores, fissures, holes, and underground leakage phenomena, which underestimate the amount of soil erosion in the karst areas. A comprehensive analysis of a long time series reveals that soil erosion in the karst areas is a complex process which requires further detailed studies.

Published
2015

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