1,821 Works
Re-interpretation of the mechanism of type 2 diabetes mellitus based on a framework of psychosomatic medicine: a real-world study
Wenjiao Min, Bo Zhou, Zhengyu Li, Nie Tang, Xu Zhang, Jinxiang Wang, Yuexin Chen, Yaling Zhou, Ruhan A, Lei Tang, Gang Li & Xueli Sun
Abstract Objective Using bipolar disorder (BD) as a control, we explored the possible developmental process of impaired glucose metabolism rhythm. Methods In total, 441 subjects (77, 162, 134, 54, and 14 in the pre-diabetes [pre-DM], DM, BD, BD + pre-DM, and BD + DM groups, respectively) and 160 controls were included. All subjects were assessed using the Neuroticism Extraversion Openness Five-Factor Inventory (NEO-FFI). The hypothalamic-pituitary-adrenal (HPA) and hypothalamic–pituitary–thyroid (HPT) axes were measured. Results Cluster analysis...
Additional file 1 of Re-interpretation of the mechanism of type 2 diabetes mellitus based on a framework of psychosomatic medicine: a real-world study
Wenjiao Min, Bo Zhou, Zhengyu Li, Nie Tang, Xu Zhang, Jinxiang Wang, Yuexin Chen, Yaling Zhou, Ruhan A, Lei Tang, Gang Li & Xueli Sun
Additional file 1: Supplementary table 1. Comparisons of demographic data among the five groups. Supplementary table 2. Comparisons of the scores of five factors of NEO-FFI among the five groups. Supplementary table 3. Comparisons of hormonelevels and abnormal rates among the five groups. Supplementary figure 1. Comparisons of abnormal rates of neuroendocrine axes among the five case groups.
Improving winter wheat yield estimation under complex irrigation conditions through coupling APSIM crop growth model and the machine learning approach
Quandi Niu, Jianxi Huang, Xuecao Li, Hai Huang, Haixiang Guan, Wei Wang, Wei Su, Li Li, Shuangxi Miao & Dongqin Yin
The annual dynamics of winter wheat yield in Henan, China from 2018 to 2021 are provided, with the resolution of 20m and GeoTiff format.
Effective hospital readmission prediction models using machine-learned features
Sacha Davis, Jin Zhang, Ilbin Lee, Mostafa Rezaei, Russell Greiner, Finlay A. McAlister & Raj Padwal
Abstract Background: Hospital readmissions are one of the costliest challenges facing healthcare systems, but conventional models fail to predict readmissions well. Many existing models use exclusively manually-engineered features, which are labor intensive and dataset-specific. Our objective was to develop and evaluate models to predict hospital readmissions using derived features that are automatically generated from longitudinal data using machine learning techniques. Methods: We studied patients discharged from acute care facilities in 2015 and 2016 in Alberta,...
CircRNA has_circ_0017109 promotes lung tumor progression via activation of Wnt/β-catenin signaling due to modulating miR-671-5p/FZD4 axis
Bo Yang, Bin Zhang, Qi Qi & Changli Wang
Abstract Introduction Accumulating evidence highlights the critical roles of circular RNAs (circRNAs) in the malignant progression of cancers. In this study, we investigated the expression pattern of a newly identified circRNA (hsa_circ_0017109) in non–small cell lung cancer (NSCLC), and examined its downstream molecular targets. Methods Quantitative real-time PCR (qRT-PCR) and Western blotting (WB) were conducted to quantify gene and protein expression. In vitro functional assays such as colony formation assay, cell counting kit-8 (CCK-8) and...
Additional file 1 of Identification of MAP3K4 as a novel regulation factor of hepatic lipid metabolism in non-alcoholic fatty liver disease
Zhiyong He, Yangyang Bin, Guangshun Chen, Qiang Li, Wenling Fan, Yongqiang Ma, Junfang Yi, Xiaohua Luo, Zhi Tan & Jiequn Li
Additional file 1: Table S1. Clinical Characteristics of NAFLD patients and controls.
Additional file 1 of Identification of MAP3K4 as a novel regulation factor of hepatic lipid metabolism in non-alcoholic fatty liver disease
Zhiyong He, Yangyang Bin, Guangshun Chen, Qiang Li, Wenling Fan, Yongqiang Ma, Junfang Yi, Xiaohua Luo, Zhi Tan & Jiequn Li
Additional file 1: Table S1. Clinical Characteristics of NAFLD patients and controls.
Additional file 2 of Identification of MAP3K4 as a novel regulation factor of hepatic lipid metabolism in non-alcoholic fatty liver disease
Zhiyong He, Yangyang Bin, Guangshun Chen, Qiang Li, Wenling Fan, Yongqiang Ma, Junfang Yi, Xiaohua Luo, Zhi Tan & Jiequn Li
Additional file 2: Table S2. RNA-seq data of liver tissues of NAFLD patients and controls.
Additional file 4 of Identification of MAP3K4 as a novel regulation factor of hepatic lipid metabolism in non-alcoholic fatty liver disease
Zhiyong He, Yangyang Bin, Guangshun Chen, Qiang Li, Wenling Fan, Yongqiang Ma, Junfang Yi, Xiaohua Luo, Zhi Tan & Jiequn Li
Additional file 4: Table S4. The top 20 significantly KEGG pathways of RNA-seq data.
Additional file 8 of Identification of MAP3K4 as a novel regulation factor of hepatic lipid metabolism in non-alcoholic fatty liver disease
Zhiyong He, Yangyang Bin, Guangshun Chen, Qiang Li, Wenling Fan, Yongqiang Ma, Junfang Yi, Xiaohua Luo, Zhi Tan & Jiequn Li
Additional file 8: Figure S1. PPI network based on the analysis of 134 overlapping genes using Cytoscape.
Additional file 9 of Identification of MAP3K4 as a novel regulation factor of hepatic lipid metabolism in non-alcoholic fatty liver disease
Zhiyong He, Yangyang Bin, Guangshun Chen, Qiang Li, Wenling Fan, Yongqiang Ma, Junfang Yi, Xiaohua Luo, Zhi Tan & Jiequn Li
Additional file 9: Table S8. The top 10 hub genes rank in Betweenness algorithm of CytoHubba.
Additional file 9 of Identification of MAP3K4 as a novel regulation factor of hepatic lipid metabolism in non-alcoholic fatty liver disease
Zhiyong He, Yangyang Bin, Guangshun Chen, Qiang Li, Wenling Fan, Yongqiang Ma, Junfang Yi, Xiaohua Luo, Zhi Tan & Jiequn Li
Additional file 9: Table S8. The top 10 hub genes rank in Betweenness algorithm of CytoHubba.
Additional file 2 of The prognostic value of IPI in patients with primary breast lymphoma, a multicenter retrospective study
Kexin Feng, Shuangtao Zhao, Qingyao Shang, Guangdong Qiao, Jiaxiang Liu, Chenxuan Yang, Ya Wei, Yalun Li, Fei Ren, Lixue Xuan, Xiang Wang & Xin Wang
Additional file 2: Table S2. Basic information of studies included in the literature review.
Additional file 1 of Evaluation of CSF albumin quotient in neuronal surface antibody-associated autoimmune encephalitis
Qi-Lun Lai, Meng-Ting Cai, Yang Zheng, Gao-Li Fang, Bing-Qing Du, Chun-Hong Shen, Jia-Jia Wang, Qin-Jie Weng & Yin-Xi Zhang
Additional file 1: Table S1. Comparison of demographic and clinical characteristics between normal and elevated Qalb groups of anti-NMDAR encephalitis. Table S2. Comparison of paraclinical profiles between normal and elevated Qalb groups of anti-NMDAR encephalitis. Table S3. Comparison of clinical outcome between normal and elevated Qalb groups of anti-NMDAR encephalitis. Table S4. Comparison of clinical and paraclinical characteristics between good and poor prognosis groups of neuronal surface antibody-associated autoimmune encephalitis. Table S5. Multivariate logistic regression...
Additional file 1 of Overcoming high level adenosine-mediated immunosuppression by DZD2269, a potent and selective A2aR antagonist
Yu Bai, Xin Zhang, Jie Zheng, Ziyi Liu, Zhenfan Yang & Xiaolin Zhang
Supplementary Material 1
Overcoming high level adenosine-mediated immunosuppression by DZD2269, a potent and selective A2aR antagonist
Yu Bai, Xin Zhang, Jie Zheng, Ziyi Liu, Zhenfan Yang & Xiaolin Zhang
Abstract Background Adenosine is a potent immunosuppressant whose levels in the tumor microenvironment (TME) are often much higher than those in normal tissues. Binding of adenosine to its receptor A2aR activates a cascade of genes and leads to immunosuppression. In addition, immune checkpoint blockage markedly increases A2aR expression in T cells, which could dampen their anti-tumor response. Several A2aR antagonists are under clinical development, but with limited clinical benefit reported so far. These A2aR antagonists...
Additional file 10 of The global, regional, and national early-onset colorectal cancer burden and trends from 1990 to 2019: results from the Global Burden of Disease Study 2019
Hongfeng Pan, Zeyi Zhao, Yu Deng, Zhifang Zheng, Ying Huang, Shenghui Huang & Pan Chi
Additional file 10: Table S5. Changes in DALYs number according to population-level determinants and causes from 1990 to 2019.
Additional file 5 of The global, regional, and national early-onset colorectal cancer burden and trends from 1990 to 2019: results from the Global Burden of Disease Study 2019
Hongfeng Pan, Zeyi Zhao, Yu Deng, Zhifang Zheng, Ying Huang, Shenghui Huang & Pan Chi
Additional file 5: Figure S5. Percentage of age-standardised DALYs due to early-onset colorectal cancer attributable to risk factors for 21 GBD regions, both sexes, 2019. GBD: Global Burden of Diseases, Injuries, and Risk Factors Study; SDI: Socio-demographic index; DALYs, Disability-Adjusted Life Years.
Additional file 9 of The global, regional, and national early-onset colorectal cancer burden and trends from 1990 to 2019: results from the Global Burden of Disease Study 2019
Hongfeng Pan, Zeyi Zhao, Yu Deng, Zhifang Zheng, Ying Huang, Shenghui Huang & Pan Chi
Additional file 9: Table S4. DALY of early-onset colorectal cancer in 1990 and 2019 with AAPC from 2009 and 2019 at countries/territories level, both sexes.
Additional file 2 of Floral organ transcriptome in Camellia sasanqua provided insight into stamen petaloid
Menglong Fan, Xinlei Li, Ying Zhang, Si Wu, Zhixin Song, Hengfu Yin, Weixin Liu, Zhengqi Fan & Jiyuan Li
Additional file 2: Table S2. The GO enrichment analysis of comparison analysis.
Additional file 4 of Floral organ transcriptome in Camellia sasanqua provided insight into stamen petaloid
Menglong Fan, Xinlei Li, Ying Zhang, Si Wu, Zhixin Song, Hengfu Yin, Weixin Liu, Zhengqi Fan & Jiyuan Li
Additional file 4: Table S4. The gene description list of the model.
Additional file 7 of Floral organ transcriptome in Camellia sasanqua provided insight into stamen petaloid
Menglong Fan, Xinlei Li, Ying Zhang, Si Wu, Zhixin Song, Hengfu Yin, Weixin Liu, Zhengqi Fan & Jiyuan Li
Additional file 7: Table S7. The primer of RT-qPCR.
Floral organ transcriptome in Camellia sasanqua provided insight into stamen petaloid
Menglong Fan, Xinlei Li, Ying Zhang, Si Wu, Zhixin Song, Hengfu Yin, Weixin Liu, Zhengqi Fan & Jiyuan Li
Abstract Background The cultivated Camellia sasanqua forms a divergent double flower pattern, and the stamen petaloid is a vital factor in the phenomenon. However, the regulation mechanism remains largely unclear. Results Here, a comprehensive comparative transcriptome analysis of the wild-type, “semi-double”, “peony double”, and “rose double” was performed. The cluster analysis of global gene expression level showed petal and stamen difficulty separable in double flower. The crucial pathway and genes related to double flower patterns...
Additional file 1 of A prospective cohort study of Plasmodium falciparum malaria in three sites of Western Kenya
Benyl M. Ondeto, Xiaoming Wang, Harrysone Atieli, Daibin Zhong, Guofa Zhou, Ming-Chieh Lee, Pauline Winnie Orondo, Kevin O. Ochwedo, Collince J. Omondi, Simon M. Muriu, David O. Odongo, Horace Ochanda, James Kazura, Andrew K. Githeko & Guiyun Yan
Additional file 1: Figure S1. Distribution of the proportion of surveys being infected in Kombewa (a), Iguhu (b), and Marani (c) in western Kenya.
Additional file 6 of A prospective cohort study of Plasmodium falciparum malaria in three sites of Western Kenya
Benyl M. Ondeto, Xiaoming Wang, Harrysone Atieli, Daibin Zhong, Guofa Zhou, Ming-Chieh Lee, Pauline Winnie Orondo, Kevin O. Ochwedo, Collince J. Omondi, Simon M. Muriu, David O. Odongo, Horace Ochanda, James Kazura, Andrew K. Githeko & Guiyun Yan
Additional file 6: Figure S3. Variations in monthly maximum temperature, minimum temperature, mean temperature and monthly rainfalls in Kombewa (a), Iguhu (b), and Marani (c) in western Kenya.
Affiliations
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Sheng Jing Hospital1,821
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Shanghai Jiao Tong University1,130
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Chinese Academy of Medical Sciences & Peking Union Medical College1,114
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Sichuan University1,092
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Zhejiang University1,043
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Fudan University961
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Capital Medical University951
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Huazhong University of Science and Technology879
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Peking University849
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University of Chinese Academy of Sciences794