171 Works

Sudden Unexpected Death in Epilepsy: A Personalized Prediction Tool

Ashwani Jha, Cheongeun Oh, Dale Hesdorffer, Beate Diehl, Sasha Devore, Martin Brodie, Torbjörn Tomson, Josemir W. Sander, Thaddeus S. Walczak & Orrin Devinsky
Objective: To develop and validate a tool for individualised prediction of Sudden Unexpected Death in Epilepsy (SUDEP) risk, we re-analysed data from one cohort and three case-control studies undertaken 1980-2005. Methods: We entered 1273 epilepsy cases (287 SUDEP, 986 controls) and 22 clinical predictor variables into a Bayesian logistic regression model. Results: Cross-validated individualized model predictions were superior to baseline models developed from only average population risk or from generalised tonic-clonic seizure frequency (pairwise difference...

Supplement to: Global impact of the COVID-19 pandemic on stroke care and intravenous thrombolysis

Raul Nogueira, Muhammed Qureshi, Mohamad Abdalkader, Sheila Martins, Hiroshi Yamagami, Zhongming Qiu, Ossama Mansour, Anvitha Sathya, Anna Czlonkowska, Georgios Tsivgoulis, Diana Aguiar De Sousa, Jelle Demeestere, Robert Mikulik, Peter Vanacker, James Siegler, Janika Korv, Jose Biller, Conrad Liang, Navdeep Sangha, Alicia Zha, Alexandra Czap, Christine Holmstedt, Tanya Turan, George Ntaios, Konark Malhotra … & Thanh Nguyen
Objective: The objectives of this study were to measure the global impact of the pandemic on the volumes for intravenous thrombolysis (IVT), IVT transfers, and stroke hospitalizations over 4 months at the height of the pandemic (March 1 to June 30, 2020) compared with two control 4-month periods. Methods: We conducted a cross-sectional, observational, retrospective study across 6 continents, 70 countries, and 457 stroke centers. Diagnoses were identified by their ICD-10 codes and/or classifications in...

Multi-contrast MRI and histology datasets used to train and validate MRH networks to generate virtual mouse brain histology

Zifei Liang & Jiangyang Zhang
H MRI maps brain structure and function non-invasively through versatile contrasts that exploit inhomogeneity in tissue micro-environments. Inferring histopathological information from MRI findings, however, remains challenging due to absence of direct links between MRI signals and cellular structures. Here, we provided deep convolutional neural networks, called MRH-Nets, developed using co-registered multi-contrast MRI and histological data of the mouse brain, can estimate histological staining intensity directly from MRI signals at each voxel. The results provide three-dimensional...

Association between depression, happiness, and sleep duration: data from the UAE healthy future pilot study

Mitha Al Balushi, Sara Al Balushi, Syed Javaid, Andrea Leinberger-Jabari, Fatma Al-Maskari, Mohammed Al-Houqani, Ayesha Al Dhaheri, Abdullah Al Nuaimi, Abdullah Al Junaibi, Naima Oumeziane, Marina Kazim, Aisha Al Hamiz, Muna Haji, Ayesha Al Hosani, Leila Abdel Wareth, Wael AlMahmeed, Habiba Alsafar, Fatme AlAnouti, Eiman Al Zaabi, Claire K. Inman, Omar El Shahawy, Michael Weitzman, Ann Marie Schmidt, Scott Sherman, Abdishakur Abdulle … & Raghib Ali
Abstract Background The United Arab Emirates Healthy Future Study (UAEHFS) is one of the first large prospective cohort studies and one of the few studies in the region which examines causes and risk factors for chronic diseases among the nationals of the United Arab Emirates (UAE). The aim of this study is to investigate the eight-item Patient Health Questionnaire (PHQ-8) as a screening instrument for depression among the UAEHFS pilot participants. Methods The UAEHFS pilot...

Additional file 1 of Reading activities compensate for low education-related cognitive deficits

Yue Wang, Shinan Wang, Wanlin Zhu, Na Liang, Chen Zhang, Yuankun Pei, Qing Wang, Shiping Li & Jiong Shi
Additional file 1: Supplemental Table 1. Cognitive performance of participants having different reading years.

Reading activities compensate for low education-related cognitive deficits

Yue Wang, Shinan Wang, Wanlin Zhu, Na Liang, Chen Zhang, Yuankun Pei, Qing Wang, Shiping Li & Jiong Shi
Abstract Background The incidence of cognitive impairment is increasing with an aging population. Developing effective strategies is essential to prevent dementia. Higher education level is associated with better baseline cognitive performance, and reading activities can slow down cognitive decline. However, it is unclear whether education and reading activities are synergistic or independent contributors to cognitive performance. Methods This was a sub-study of an ongoing prospective community cohort of China National Clinical Research Center Alzheimer’s Disease...

Additional file 4 of Rapid and sensitive single-cell RNA sequencing with SHERRY2

Lin Di, Bo Liu, Yuzhu Lyu, Shihui Zhao, Yuhong Pang, Chen Zhang, Jianbin Wang, Hai Qi, Jie Shen & Yanyi Huang
Additional file 4: Table S3.qPCR results of gDNA after DNase treatment. (recording data values of Additional file 1: Fig. S6B).

Additional file 5 of Rapid and sensitive single-cell RNA sequencing with SHERRY2

Lin Di, Bo Liu, Yuzhu Lyu, Shihui Zhao, Yuhong Pang, Chen Zhang, Jianbin Wang, Hai Qi, Jie Shen & Yanyi Huang
Additional file 5: Table S4.Normalized abundance of marker genes in each GC cell type. (recording data values of Additional file 1: Fig. S7D).

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.

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.

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
Abstract Emerging proof shows that abnormal lipometabolism affects invasion, metastasis, stemness and tumor microenvironment in carcinoma cells. However, molecular markers related to lipometabolism have not been further established in breast cancer. In addition, numerous studies have been conducted to screen for prognostic features of breast cancer only with RNA sequencing profiles. Currently, there is no comprehensive analysis of multiomics data to extract better biomarkers. Therefore, we have downloaded the transcriptome, single nucleotide mutation and copy...

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
Abstract Emerging proof shows that abnormal lipometabolism affects invasion, metastasis, stemness and tumor microenvironment in carcinoma cells. However, molecular markers related to lipometabolism have not been further established in breast cancer. In addition, numerous studies have been conducted to screen for prognostic features of breast cancer only with RNA sequencing profiles. Currently, there is no comprehensive analysis of multiomics data to extract better biomarkers. Therefore, we have downloaded the transcriptome, single nucleotide mutation and copy...

Traditional Chinese medicine Lingguizhugan decoction treating non-alcoholic fatty liver disease with spleen-yang deficiency pattern: Study protocol for a multicenter randomized controlled trial

Jingjuan Xu, Ruirui Wang, Shengfu You, Lei Zhang, Peiyong Zheng, Guang Ji & Baocheng Liu
Abstract Background Non-alcoholic fatty liver disease (NAFLD) is a common chronic liver disease characterized by excessive fat accumulation in the liver. One of the underlying pathophysiological mechanisms is insulin resistance (IR). Traditional Chinese medicine (TCM) has showed potential benefits in the management of NAFLD. Lingguizhugan decoction (LGZG) is a representative Chinese herbal formula; however, there is still no rigorous clinical trial supporting its application. Methods/design This study will be a three-arm, dose-optimization, randomized, double-blinded, placebo-controlled...

Additional file 11 of Exploring AI-2-mediated interspecies communications within rumen microbial communities

Xiaozhen Liu, Qinmeng Liu, Sihuai Sun, Hengxi Sun, Yao Wang, Xihui Shen & Lei Zhang
Additional file 11: Figure S5. Expression of the predicted AI-2 synthases and receptors within a rumen microbial metatranscriptome at the phylum level. (A) The number of bacterial genomes containing AI-2-related genes and the percentage of corresponding genomes that expressed these genes. (B) The number of bacterial genomes containing luxS synthases and the percentage of the corresponding genomes that expressed luxS genes at the phylum level. (C) The number of bacterial genomes containing lsrB receptors and...

Additional file 2 of Exploring AI-2-mediated interspecies communications within rumen microbial communities

Xiaozhen Liu, Qinmeng Liu, Sihuai Sun, Hengxi Sun, Yao Wang, Xihui Shen & Lei Zhang
Additional file 2: Table S2. The rumen microbiota and the presence of quorum sensing molecules.

Additional file 6 of Exploring AI-2-mediated interspecies communications within rumen microbial communities

Xiaozhen Liu, Qinmeng Liu, Sihuai Sun, Hengxi Sun, Yao Wang, Xihui Shen & Lei Zhang
Additional file 6: Figure S2. Distribution and abundance of AI-2 synthases and receptors based on QS in the rumen bacterial genomes. Numbers indicate the number of bacterial genomes in which the corresponding proteins were found at the genus level. The LuxS synthases, LsrB receptors, and CahR-type receptors were discovered within 88, 27, and 42 genera, respectively.

Additional file 2 of Exploring AI-2-mediated interspecies communications within rumen microbial communities

Xiaozhen Liu, Qinmeng Liu, Sihuai Sun, Hengxi Sun, Yao Wang, Xihui Shen & Lei Zhang
Additional file 2: Table S2. The rumen microbiota and the presence of quorum sensing molecules.

Genome and annotation of triploid cultivated banana

Xiuxiu Li, Sheng Yu, Zhihao Cheng, Yingzi Yun, Xuequn Chen, Xing Liu, Hua Li, Wenjun Zhu, Shiyao Xu, Yanbing Xu, Chen Zhang, Xianjun Wang, Xingtan Zhang, Zhenguo Lin, Jean-Marc Aury, Yves Van de Peer, Zonghua Wang, Xiaofan Zhou, Peitao Lü & Liangsheng Zhang
Genome assemblies and annotations of Cavendish and Gros Michel bananas

Additional file 5 of Systems biology approach reveals a common molecular basis for COVID-19 and non-alcoholic fatty liver disease (NAFLD)

Shi-Tao Jiang, Yao-Ge Liu, Lei Zhang, Xin-Ting Sang, Yi-Yao Xu & Xin Lu
Additional file 5: Table S4. Common differentially expressed genes of SS, NASH, and COVID-19 (n = 62).

Additional file 2 of Systems biology approach reveals a common molecular basis for COVID-19 and non-alcoholic fatty liver disease (NAFLD)

Shi-Tao Jiang, Yao-Ge Liu, Lei Zhang, Xin-Ting Sang, Yi-Yao Xu & Xin Lu
Additional file 2: Table S1. Differentially expressed genes for COVID-19.

The lung microbiome, peripheral gene expression, and recurrence-free survival after resection of stage II non-small cell lung cancer

Brandilyn A. Peters, Harvey I. Pass, Robert D. Burk, Xiaonan Xue, Chandra Goparaju, Christopher C. Sollecito, Evan Grassi, Leopoldo N. Segal, Jun-Chieh J. Tsay, Richard B. Hayes & Jiyoung Ahn
Abstract Background Cancer recurrence after tumor resection in early-stage non-small cell lung cancer (NSCLC) is common, yet difficult to predict. The lung microbiota and systemic immunity may be important modulators of risk for lung cancer recurrence, yet biomarkers from the lung microbiome and peripheral immune environment are understudied. Such markers may hold promise for prediction as well as improved etiologic understanding of lung cancer recurrence. Methods In tumor and distant normal lung samples from 46...

Additional file 1 of The lung microbiome, peripheral gene expression, and recurrence-free survival after resection of stage II non-small cell lung cancer

Brandilyn A. Peters, Harvey I. Pass, Robert D. Burk, Xiaonan Xue, Chandra Goparaju, Christopher C. Sollecito, Evan Grassi, Leopoldo N. Segal, Jun-Chieh J. Tsay, Richard B. Hayes & Jiyoung Ahn
Additional file 1: Supplementary Table 1. Predictors of RFS, DFS, and OS in Cox proportional hazards models. Adjusted models are adjusted for all other covariates shown here. Supplementary Table 2. Association of richness and the Shannon diversity index with RFS, DFS, and OS in Cox proportional hazards models. Analyses were performed on the tumor tissue microbiome data and normal tissue microbiome data. Adjusted models are adjusted for age, sex, race, histology, smoking, and chemotherapy. Supplementary...

Additional file 1 of GelMA-MXene hydrogel nerve conduits with microgrooves for spinal cord injury repair

Jiaying Cai, Hui Zhang, Yangnan Hu, Zhichun Huang, Yan Wang, Yu Xia, Xiaoyan Chen, Jiamin Guo, Hong Cheng, Lin Xia, Weicheng Lu, Chen Zhang, Jingdun Xie, Huan Wang & Renjie Chai
Additional file 1: Fig. S1. Biocompatibility and proliferation of NSCs under different concentrations of MXene. Fig. S2. Conductivity of GelMA-MXene hydrogels with different concentrations of MXene. Fig. S3. Characterization of the two conduits. Fig. S4. Biocompatibility and proliferation of NSCs on different substrates. Fig. S5. Apparent morphology NSCs differentiation on the three substrates. Fig. S6. The bladders of different groups on week 8. Fig. S7. Representative images of spinal cord at the lesion rate. Fig....

GelMA-MXene hydrogel nerve conduits with microgrooves for spinal cord injury repair

Jiaying Cai, Hui Zhang, Yangnan Hu, Zhichun Huang, Yan Wang, Yu Xia, Xiaoyan Chen, Jiamin Guo, Hong Cheng, Lin Xia, Weicheng Lu, Chen Zhang, Jingdun Xie, Huan Wang & Renjie Chai
Abstract Repair of spinal cord injury (SCI) depends on microenvironment improvement and the reconnection between injured axons and regenerated neurons. Here, we fabricate a GelMA-MXene hydrogel nerve conduit with electrical conductivity and internal-facing longitudinal grooves and explore its function in SCI repair. It is found that the resultant grooved GelMA-MXene hydrogel could effectively promote the neural stem cells (NSCs) adhesion, directed proliferation and differentiation in vitro. Additionally, when the GelMA-MXene conduit loaded with NSCs (GMN)...

Additional file 1 of Dissecting super-enhancer driven transcriptional dependencies reveals novel therapeutic strategies and targets for group 3 subtype medulloblastoma

Meng Li, Yujie Han, Chaochen Wang, Wenfeng Kang, Wenyan Jiang, Lei Zhang & Yujie Tang
Additional file 1: Supplementary Table S1

Registration Year

  • 2022
    149
  • 2021
    10
  • 2020
    8
  • 2018
    2
  • 2016
    1
  • 2014
    1

Resource Types

  • Dataset
    80
  • Text
    46
  • Collection
    24
  • Image
    21

Affiliations

  • New York University Langone Medical Center
    171
  • Huazhong University of Science and Technology
    149
  • Shanghai University of Traditional Chinese Medicine
    149
  • Fudan University
    149
  • Shanghai Jiao Tong University
    149
  • Chinese Academy of Medical Sciences & Peking Union Medical College
    149
  • Peking University
    143
  • Chinese Academy of Agricultural Sciences
    131
  • Anhui Agricultural University
    129
  • Chongqing Medical University
    127