86 Works
Additional file 1 of High prevalence of metabolic diseases, liver steatosis and fibrosis among Chinese psychiatric patients
Huixia Li, Chi Chen, Yi Chen, Bing Han, Yingchao Chen, Jing Cheng, Ningjian Wang, Bin Wang & Yingli Lu
Supplementary Material 1 Supplemental Table 1: Demographic characteristics of psychiatric patients
Proportional optimization forecasting analysis of photovoltaic and coal-fired power in 2050, China: the economic and environmental perspectives
Lu Wang, Jiawen Liu, Chenglong Wang & Peng Wang
To meet the targets of carbon emission reductions and mitigate climate change, Chinese government actively supports the development of photovoltaic power (PV). Assessing the feasibility of development model and the possibility to achieve carbon emission targets should firstly address the relationship of PV development compared to coal-fired power (CFP), this study evaluated economic and environmental effects of PV and CFP from life-cycle perspective and further forecasted the optimal proportions of PV replacing CFP in 2030...
Additional file 1 of Identification and in vitro and in vivo validation of the key role of GSDME in pyroptosis-related genes signature in hepatocellular carcinoma
Xinyi Chen, Mu Yang, Lu Wang, Yuan Wang, Jingyao Tu, Xiao Zhou & Xianglin Yuan
Additional file 1: Table S1. Total 52 pyroptosis-related genes.
Stochastic Tree Search for Estimating Optimal Dynamic Treatment Regimes
Yilun Sun & Lu Wang
A dynamic treatment regime (DTR) is a sequence of decision rules that adapt to the time-varying states of an individual. Black-box learning methods have shown great potential in predicting the optimal treatments; however, the resulting DTRs lack interpretability, which is of paramount importance for medical experts to understand and implement. We present a stochastic tree-based reinforcement learning (ST-RL) method for estimating optimal DTRs in a multistage multitreatment setting with data from either randomized trials or...
sj-pdf-1-jcb-10.1177_0271678X231158434 - Supplemental material for Identifying the distinct spectral dynamics of laminar-specific interhemispheric connectivity with bilateral line-scanning fMRI
Sangcheon Choi, Yi Chen, Hang Zeng, Bharat Biswal & Xin Yu
Supplemental material, sj-pdf-1-jcb-10.1177_0271678X231158434 for Identifying the distinct spectral dynamics of laminar-specific interhemispheric connectivity with bilateral line-scanning fMRI by Sangcheon Choi, Yi Chen, Hang Zeng, Bharat Biswal and Xin Yu in Journal of Cerebral Blood Flow & Metabolism
Additional file 2 of Potential mechanisms of osthole against bladder cancer cells based on network pharmacology, molecular docking, and experimental validation
Yunzhong Jiang, Mengzhao Zhang, Lu Wang, Lu Zhang, Minghai Ma, Minxuan Jing, Jianpeng Li, Rundong Song, Yuanquan Zhang, Zezhong Yang, Yaodong Zhang, Yuanchun Pu, Xiaowei Qu & Jinhai Fan
Additional file 2.
Additional file 1 of Disulfiram attenuates hypoxia-induced pulmonary hypertension by inhibiting GSDMD cleavage and pyroptosis in HPASMCs
Shunlian Hu, Lu Wang, Yahan Xu, Fajiu Li & Tao Wang
Additional file 1. Table S1. Clinical information of PAH subjects and controls in the study. Table S2. Gene set enrichment analysis details.
Additional file 1 of High prevalence of metabolic diseases, liver steatosis and fibrosis among Chinese psychiatric patients
Huixia Li, Chi Chen, Yi Chen, Bing Han, Yingchao Chen, Jing Cheng, Ningjian Wang, Bin Wang & Yingli Lu
Supplementary Material 1 Supplemental Table 1: Demographic characteristics of psychiatric patients
Additional file 1 of Novel lipometabolism biomarker for chemotherapy and immunotherapy response in breast cancer
Lei Zhang, Risheng She, Jianlin Zhu, Jin Lu, Yuan Gao, Wenhua Song, Songwang Cai & Lu Wang
Additional file 1.
Additional file 2 of Novel lipometabolism biomarker for chemotherapy and immunotherapy response in breast cancer
Lei Zhang, Risheng She, Jianlin Zhu, Jin Lu, Yuan Gao, Wenhua Song, Songwang Cai & Lu Wang
Additional file 2.
sj-pdf-1-smm-10.1177_09622802221122397 - Supplemental material for Penalized Spline-Involved Tree-based (PenSIT) Learning for estimating an optimal dynamic treatment regime using observational data
Kelly A Speth, Michael R Elliott, Juan L Marquez & Lu Wang
Supplemental material, sj-pdf-1-smm-10.1177_09622802221122397 for Penalized Spline-Involved Tree-based (PenSIT) Learning for estimating an optimal dynamic treatment regime using observational data by Kelly A Speth, Michael R Elliott, Juan L Marquez and Lu Wang in Statistical Methods in Medical Research
Additional file 1 of Association between serum vitamin D levels and visceral adipose tissue among adolescents: a cross-sectional observational study in NHANES 2011–2015
Yan-feng Li, Xiao Zheng, Wen-lan Gao, Feng Tao & Yi Chen
Additional file 1: Supplementary Table 1. The missing data of covariates and their processing. Supplementary Table 2. Association between covariates and VAT mass. Supplementary Table 3. The adjusting roles of potential confounders on the estimates of serum vitamin D on VAT.
Additional file 1 of Association between serum vitamin D levels and visceral adipose tissue among adolescents: a cross-sectional observational study in NHANES 2011–2015
Yan-feng Li, Xiao Zheng, Wen-lan Gao, Feng Tao & Yi Chen
Additional file 1: Supplementary Table 1. The missing data of covariates and their processing. Supplementary Table 2. Association between covariates and VAT mass. Supplementary Table 3. The adjusting roles of potential confounders on the estimates of serum vitamin D on VAT.
Additional file 1 of Mining and characterization of the PKS–NRPS hybrid for epicoccamide A: a mannosylated tetramate derivative from Epicoccum sp. CPCC 400996
Tao Zhang, Guowei Cai, Xiaoting Rong, Jingwen Xu, Bingya Jiang, Hao Wang, Xinxin Li, Lu Wang, Ran Zhang, Wenni He & Liyan Yu
Additional file 1: Table S1. NMR Data for epicoccamide A (1). Table S2. Comparison of the signature residues for amino acid selection by adenylation (A) domains of fungal PKS-NRPS (NRPS). Figure S1. The 1H NMR spectrum of compound 1. Figure S2. The 13C NMR spectrum of compound 1. Figure S3. The 1H-1H COSY spectrum of compound 1 (in DMSO). Figure S4. The HSQC spectrum of compound 1 (in DMSO). Figure S5. The HMBC spectrum of...
Additional file 5 of PCSK9 promotes the progression and metastasis of colon cancer cells through regulation of EMT and PI3K/AKT signaling in tumor cells and phenotypic polarization of macrophages
Lu Wang, Shuangshuang Li, Huanhua Luo, Qi Lu & Shuwen Yu
Additional file 5.
Additional file 5 of PCSK9 promotes the progression and metastasis of colon cancer cells through regulation of EMT and PI3K/AKT signaling in tumor cells and phenotypic polarization of macrophages
Lu Wang, Shuangshuang Li, Huanhua Luo, Qi Lu & Shuwen Yu
Additional file 5.
Additional file 6 of PCSK9 promotes the progression and metastasis of colon cancer cells through regulation of EMT and PI3K/AKT signaling in tumor cells and phenotypic polarization of macrophages
Lu Wang, Shuangshuang Li, Huanhua Luo, Qi Lu & Shuwen Yu
Additional file 6.
Degradation of Tetrabromobisphenol S by thermo-activated Persulphate Oxidation: reaction Kinetics, transformation Mechanisms, and brominated By-products
Lu Wang, Yaqun Yu, Guoqiang Liu, Baowei Hu & Junhe Lu
Brominated flame retardants (BFRs) are a group of contaminants of emerging environmental concern. In this study, systematic exploration was carried out to investigate the degradation of tetrabromobisphenol S (TBBPS), a typical emerging BFRs, by thermally activated persulfate (PDS) oxidation. The removal of 5.0 μM TBBPS was 100% after 60 min oxidation treatment under 60°C. Increasing the temperature or initial PDS concentration facilitated the degradation efficiency of TBBPS. The quenching test indicated that TBBPS degradation occurred...
Proportional optimization forecasting analysis of photovoltaic and coal-fired power in 2050, China: the economic and environmental perspectives
Lu Wang, Jiawen Liu, Chenglong Wang & Peng Wang
To meet the targets of carbon emission reductions and mitigate climate change, Chinese government actively supports the development of photovoltaic power (PV). Assessing the feasibility of development model and the possibility to achieve carbon emission targets should firstly address the relationship of PV development compared to coal-fired power (CFP), this study evaluated economic and environmental effects of PV and CFP from life-cycle perspective and further forecasted the optimal proportions of PV replacing CFP in 2030...
Additional file 1 of Identification and in vitro and in vivo validation of the key role of GSDME in pyroptosis-related genes signature in hepatocellular carcinoma
Xinyi Chen, Mu Yang, Lu Wang, Yuan Wang, Jingyao Tu, Xiao Zhou & Xianglin Yuan
Additional file 1: Table S1. Total 52 pyroptosis-related genes.
Emergence of an ancient and pathogenic mammarenavirus
Xue-Lian Luo, Shan Lu, Chuan Qin, Mang Shi, Xiao-Bo Lu, Lu Wang, Sang Ga, Dong Jin, Xin-Li Ma, Jing Yang, Yan Dai, Lin-Lin Bao, Yan-Peng Cheng, Ya-Jun Ge, Yi-Bo Bai, Wen-Tao Zhu, Ji Pu, Hui Sun, Yu-Yuan Huang, Ming-Chao Xu, Wen-Jing Lei, Kui Dong, Cai-Xin Yang, Yi-Fan Jiao, Qi Lv … & Jianguo Xu
Emerging zoonoses of wildlife origin caused by previously unknown agents are one of the most important challenges for human health. The Qinghai-Tibet Plateau represents a unique ecological niche with diverse wildlife that harbours several human pathogens and numerous previously uncharacterized pathogens. In this study, we identified and characterized a novel arenavirus (namely, plateau pika virus, PPV) from plateau pikas (Ochotona curzoniae) on the Qinghai-Tibet Plateau by virome analysis. Isolated PPV strains could replicate in several...
A new dihydroflavone and a new polyacetylene glucoside from Bidens parviflora
Fu-Jie Cai, Chuan-Hou Li, Xiao-Hui Sun, Lu Wang, Jin-Li Tian, Wei Zhao, De-Gang Kong, Qing Liu & Hong-Lei Zhou
A new dihydroflavone, 2(S)-isookanin-4′-methoxy-8-O-β-D-glucopyranoside (1), and a new polyacetylene glucoside, (10S)-tridecane-2E-ene-4,6,8-triyne-1-ol-10-O-β-D-glucopyranoside (2), along with seven known compounds (3–9), were isolated from the herb of Bidens parviflora Willd. The structures of all the extracted compounds were elucidated by HR-ESI-MS, 1 D and 2 D NMR spectra, as well as circular dichroism (CD).
Sex difference in lipid levels in first-diagnosed drug-naïve depression patients: A case-control and 12-weeks follow-up study
Rui Yang, Lu Wang, Song Cao, Ming Chen, Chu-Jun Wu, Floyd Silva, Man-Jun Shen, Jin-Dong Chen, Mi-Mi Tang & Bi-Lian Liu
Patients with depression have a high prevalence of developing dyslipidemia. In this study, we aim to investigate the difference of serum lipids, including total cholesterol (TCH), high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), and triglycerides (TG), between the depressed patients and healthy controls. Sex differences in lipids and their psychological correlations were also included. The study included 56 healthy controls (males/females = 26/30) and 110 first-diagnosed drug-naïve outpatients (males/females = 35/75). A total of...
Additional file 1 of Targeted OUM1/PTPRZ1 silencing and synergetic CDT/enhanced chemical therapy toward uveal melanoma based on a dual-modal imaging-guided manganese metal–organic framework nanoparticles
Yue Li, Fang Li, Hui Pan, Xiaolin Huang, Jie Yu, Xueru Liu, Qinghao Zhang, Caiwen Xiao, He Zhang & Leilei Zhang
Additional file1: Fig. S1. OUM1 knockdown impairs UM cell metastasis and proliferation. Fig. S2. GO and pathway function analysis. Fig. S3. Bioinformatics analysis of OUM1 targets. Fig. S4. PTPRZ1 might be a target of OUM1. Fig. S5. Synergistic effect of SOV and OUM1 interference on apoptosis. Fig. S6. In vivo toxicity evaluation. Table S1. Downregulated and Upregulated gene. Table S2. Primers and siRNA used in this study. Table S3. Primers used in RNA-ChIP assay. Details...
Additional file 2 of Potential mechanisms of osthole against bladder cancer cells based on network pharmacology, molecular docking, and experimental validation
Yunzhong Jiang, Mengzhao Zhang, Lu Wang, Lu Zhang, Minghai Ma, Minxuan Jing, Jianpeng Li, Rundong Song, Yuanquan Zhang, Zezhong Yang, Yaodong Zhang, Yuanchun Pu, Xiaowei Qu & Jinhai Fan
Additional file 2.
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Affiliations
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Minjiang University86
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Shanghai Jiao Tong University86
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Chinese Academy of Medical Sciences & Peking Union Medical College86
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Chongqing Medical University76
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Huazhong University of Science and Technology74
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University of Michigan–Ann Arbor70
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Inner Mongolia University70
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Chinese PLA General Hospital70
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University of Electronic Science and Technology of China70
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Yunnan University68