408 Works

Association between atherosclerotic cardiovascular diseases risk and renal outcome in patients with type 2 diabetes mellitus

Honghong Ren, Lijun Zhao, Yutong Zou, Yiting Wang, Junlin Zhang, Yucheng Wu, Rui Zhang, Tingli Wang, Jiali Wang, Yitao Zhu, Ruikun Guo, Huan Xu, Lin Li, Mark E. Cooper & Fang Liu
Chronic kidney disease (CKD) and diabetes mellitus increase atherosclerotic cardiovascular diseases (ASCVD) risk. However, the association between renal outcome of diabetic kidney disease (DKD) and ASCVD risk is unclear. This retrospective study enrolled 218 type 2 diabetic patients with biopsy-proven DKD, and without known cardiovascular diseases. Baseline characteristics were obtained and the 10-year ASCVD risk score was calculated using the Pooled Cohort Equation (PCE). Renal outcome was defined as progression to end-stage renal disease (ESRD)....

Cognitive Diagnosis Testlet Model for Multiple-Choice Items

Lei Guo, Wenjie Zhou, Nai-Qing Song & Xiao Li
Testlet design is very popular in educational and psychological assessments. This article proposes a new cognitive diagnosis model, the Multiple-Choice Cognitive Diagnostic Testlet (MC-CDT) model for a test with testlets consisting of multiple-choice (MC) items. The MC-CDT model uses the original examinees’ responses to MC items instead of dichotomously scored data (i.e. correct or incorrect) so that it retains the information from different distractors and thus enhances the diagnostic power of MC items. The MCMC...

First-Order Newton-Type Estimator for Distributed Estimation and Inference

Xi Chen, Weidong Liu & Yichen Zhang
This article studies distributed estimation and inference for a general statistical problem with a convex loss that could be nondifferentiable. For the purpose of efficient computation, we restrict ourselves to stochastic first-order optimization, which enjoys low per-iteration complexity. To motivate the proposed method, we first investigate the theoretical properties of a straightforward divide-and-conquer stochastic gradient descent approach. Our theory shows that there is a restriction on the number of machines and this restriction becomes more...

The predictive value of diabetic retinopathy on subsequent diabetic nephropathy in patients with type 2 diabetes: a systematic review and meta-analysis of prospective studies

Yu Li, Xiaoxuan Su, Qing Ye, Xiaodan Guo, Bo Xu, Tianjun Guan & Anqun Chen
This systematic review and meta-analysis aimed to assess the predictive value of diabetic retinopathy (DR) on further diabetic nephropathy (DN) risk in patients with type 2 diabetes (T2D) based on the prospective cohort studies. PubMed, Embase, and the Cochrane Library were systematically searched for eligible prospective cohort studies through March 2020. The predictive value of DR was assessed using sensitivity, specificity, positive likelihood ratio (PLR) and negative likelihood ratio (NLR), diagnostic odds ratio (DOR), and...

Niche separation and weak interactions in the high tidal zone of saltmarsh-mangrove mixing communities

Patrick Ndayambaje, Lili Wei, Tingfeng Zhang, Yuhong Li, Lin Liu, Xu Huang & Chaoxiang Liu
1. Saltmarsh-mangrove ecotones occur at the boundary of the natural geographical distribution of mangroves and salt marshes. Climate warming and species invasion can also drive the formation of saltmarsh-mangrove mixing communities. How these coastal species live together in a “new” mixed community is important in predicting the dynamic of saltmarsh-mangrove ecosystems as affected by ongoing climate change or human activities. To date, the understanding of species interactions has been rare on adult species in these...

Strong tie or weak tie? Exploring the impact of group-formation gamification mechanisms on user emotional anxiety in social commerce

Manning Li, Dongming Xu, Guanghui Ma & Qianqian Guo
Customers can raise various aspects of concerns and anxieties during their participation in gamified social mobile marketing campaigns. To gain insights into how to address these anxieties, this research explores the impact of group-formation gamification mechanisms on users’ emotional anxiety and their intentions to participate in such campaigns. A research model depicting group-formation gamification strategies, user anxieties and participation intentions in gamified social mobile marketing campaigns was proposed and examined through experiments involving 232 participants,...

Chrysophanol inhibits the osteoglycin/mTOR and activats NF2 signaling pathways to reduce viability and proliferation of malignant meningioma cells

Jiapeng Wang & Peng Lv
Chrysophanol shows promising antitumor activity, but how it may work against malignant meningioma is poorly understood. In addition, osteoglycin (OGN) may help mediate the antitumor effects of chrysophanol; thus, this study investigated the potential antitumor mechanism of chrysophanol in malignant meningioma cultures. Meningioma cell line HBL-52 were incubated with varying doses of chrysophanol (0–90 μM) for different time points, and osteoglycin (OGN) was overexpressed or inhibited in some cell cultures to assess its roles. Cell...

Microbial profiling identifies potential key drivers in gastric cancer patients

Yonghong Li, Jia Wang, Mengge Wang, Yongshun Gao, Cheng-Yun Jin, Xiaojing Shi, Boyang Ji, Yongjun Wei & Hongmin Liu
Gastric cancer (GC) is the fifth most commonly diagnosed cancer and the third leading cause of cancer-related death in the world. Microbiota is believed to be associated with GC. Growing evidences showed Helicobacter pylori played a key role in GC development. However, little was known about the microbiota in gastric juices and tissues in GC patients, and thus it was difficult to understand other potential microbial causation for GC. Here, we collected the gastric juice...

First-order Newton-type Estimator for Distributed Estimation and Inference

Xi Chen, Weidong Liu & Yichen Zhang
This paper studies distributed estimation and inference for a general statistical problem with a convex loss that could be non-differentiable. For the purpose of efficient computation, we restrict ourselves to stochastic first-order optimization, which enjoys low per-iteration complexity. To motivate the proposed method, we first investigate the theoretical properties of a straightforward Divide-and-Conquer Stochastic Gradient Descent (DC-SGD) approach. Our theory shows that there is a restriction on the number of machines and this restriction becomes...

First-Order Newton-Type Estimator for Distributed Estimation and Inference

Xi Chen, Weidong Liu & Yichen Zhang
This article studies distributed estimation and inference for a general statistical problem with a convex loss that could be nondifferentiable. For the purpose of efficient computation, we restrict ourselves to stochastic first-order optimization, which enjoys low per-iteration complexity. To motivate the proposed method, we first investigate the theoretical properties of a straightforward divide-and-conquer stochastic gradient descent approach. Our theory shows that there is a restriction on the number of machines and this restriction becomes more...

Bioinformatics analysis reveals the competing endogenous RNA (ceRNA) coexpression network in the tumor microenvironment and prognostic biomarkers in soft tissue sarcomas

Dandan Zou, Yang Wang, Meng Wang, Bo Zhao, Fei Hu, Yanguo Li & Bingming Zhang
Soft tissue sarcomas (STSs) are rare, heterogeneous mesenchymal neoplasias. Understanding the tumor microenvironment (TME) and identifying potential biomarkers for prognosis associated with the TME of STS might provide effective clues for immune therapy. We evaluated the immune scores and stromal scores of STS patients by using the RNA sequencing dataset from The Cancer Genome Atlas (TCGA) database and the ESTIMATE algorithm. Then, the differentially expressed mRNAs (DEGs), miRNAs (DEMs) and lncRNAs (DELs) were identified after...

Quasispecies of SARS-CoV-2 revealed by single nucleotide polymorphisms (SNPs) analysis

Rongsui Gao, Wenhong Zu, Yang Liu, Junhua Li, Zeyao Li, Yanling Wen, Haiyan Wang, Jing Yuan, Lin Cheng, Shengyuan Zhang, Yu Zhang, Shuye Zhang, Weilong Liu, Xun Lan, Lei Liu, Feng Li & Zheng Zhang
New SARS-CoV-2 mutants have been continuously indentified with enhanced transmission ever since its outbreak in early 2020. As an RNA virus, SARS-CoV-2 has a high mutation rate due to the low fidelity of RNA polymerase. To study the single nucleotide polymorphisms (SNPs) dynamics of SARS-CoV-2, 158 SNPs with high confidence were identified by deep meta-transcriptomic sequencing, and the most common SNP type was C > T. Analyses of intra-host population diversity revealed that intra-host quasispecies’...

Long non-coding RNA LINC00649 regulates YES-associated protein 1 (YAP1)/Hippo pathway to accelerate gastric cancer (GC) progression via sequestering miR-16-5p

Hongyan Wang, Xin Di, Yingjie Bi, Shidong Sun & Tao Wang
Although long non-coding RNA (LncRNA) LINC00649 is reported to be closely associated with acute myeloid leukemia (AML), prostate cancer and colorectal cancer, its role in regulating other types of cancer, such as gastric cancer (GC), has not been studied. This study analyzed the expression status of LINC00649 in GC tissues and cells by performing Real-Time qPCR analysis, and we found that LINC00649 tended to be enriched in cancerous tissues and cells but not in their...

Prevalence and predictors of post-traumatic stress disorder in patients with cured coronavirus disease 2019 (COVID-19) one month post-discharge

Yumeng Ju, Jin Liu, Roger M. K. Ng, Bangshan Liu, Mi Wang, Wentao Chen, Mei Huang, Aiping Yang, Kongliang Shu, Yun Zhou, Li Zhang, Mei Liao, Jiyang Liu & Yan Zhang
Background: Coronavirus disease 2019 (COVID-19) can place an immense psychological strain on the infected patient. The psychological distress can linger after the initial recovery from the infection. Objective: This study aimed to evaluate the prevalence and predictors of provisional post-traumatic stress disorder (PTSD) in patients with cured COVID-2019. Methods: The baseline survey was conducted from 10 to 25 February 2020 in patients with COVID-19 in a designated hospital. Demographic and clinical characteristics were acquired, and...

In-hospital acute kidney injury and atrial fibrillation: incidence, risk factors, and outcome

Guoqin Wang, Lijiao Yang, Nan Ye, Weijing Bian, Changsheng Ma, Dong Zhao, Jing Liu, Yongchen Hao, Na Yang & Hong Cheng
The incidence and the risk factors of in-hospitalized acute kidney injury (AKI) in patients hospitalized for atrial fibrillation (AF) were unclear. The Improving Care for Cardiovascular Disease in China-AF (CCC-AF) project is an ongoing registry and quality improvement project, with 240 hospitals recruited across China. We selected 4527 patients hospitalized for AF registered in the CCC-AF from January 2015 to January 2019. Patients were divided into the AKI and non-AKI groups according to the changes...

Genome-wide identification evolution and expression of vestigial-like gene family in chicken

Dan Hou, Panpan Qin, Xinran Niu, Tong Li, Bingjie Chen, Chengjie Wei, Zhenzhu Jing, Ruili Han, Hong Li, Xiaojun Liu, Yadong Tian, Donghua Li, Zhuanjian Li, Hanfang Cai & Xiangtao Kang
Vestigial-like (Vgll) genes are widespread in vertebrates and play an important role in muscle development. In this study, we used bioinformatics methods to systematically identify the chicken VGLL family in the whole genome and investigated its evolutionary history and gene structure features. Tissue expression spectra combined with real-time PCR data were used to analyze the organizational expression pattern of the genes. Based on the maximum likelihood method, a phylogenetic tree of the VGLL family was...

SRSF5 regulates alternative splicing of DMTF1 pre-mRNA through modulating SF1 binding

Jialiang Li, Guangyue Li, Yige Qi, Yao Lu, Hao Wang, Ke Shi, Dangdang Li, Jinming Shi, Daniel B. Stovall & Guangchao Sui
Among the three DMTF1 splicing isoforms, DMTF1α acts as a tumour suppressor through promoting p14ARF expression, while DMTF1β exhibits an oncogenic role likely through antagonizing DMTF1α. However, the molecular mechanism underlying alternative splicing of DMTF1 pre-mRNA has not been delineated. In the current study, we discovered SRSF5 as a regulatory protein binding to a region located between DMTF1β and α acceptor splice sites to promote DMTF1β and γ splicing. We demonstrated that SRSF5 expression positively...

SRSF5 regulates alternative splicing of DMTF1 pre-mRNA through modulating SF1 binding

Jialiang Li, Guangyue Li, Yige Qi, Yao Lu, Hao Wang, Ke Shi, Dangdang Li, Jinming Shi, Daniel B. Stovall & Guangchao Sui
Among the three DMTF1 splicing isoforms, DMTF1α acts as a tumour suppressor through promoting p14ARF expression, while DMTF1β exhibits an oncogenic role likely through antagonizing DMTF1α. However, the molecular mechanism underlying alternative splicing of DMTF1 pre-mRNA has not been delineated. In the current study, we discovered SRSF5 as a regulatory protein binding to a region located between DMTF1β and α acceptor splice sites to promote DMTF1β and γ splicing. We demonstrated that SRSF5 expression positively...

sj-pdf-2-ppa-10.1177_09520767211034664 - Supplemental material for The evolution of collaborative networks: A social network analysis of Chinese environmental protection policy

Yanwei Li & Jing Huang
Supplemental material, sj-pdf-2-ppa-10.1177_09520767211034664 for The evolution of collaborative networks: A social network analysis of Chinese environmental protection policy by Yanwei Li and Jing Huang in Public Policy and Administration

Removal of harmful algae by Shigella sp. H3 and Alcaligenes sp. H5: algicidal pathways and characteristics

Gang Xue, Xiaonuan Wang, Chenlan Xu, Binxue Song & Hong Chen
Application of algicidal bacteria is a promising technology to control harmful algal blooms (HABs). In this study, algicidal bacteria strains Shigella sp. H3 and Alcaligenes sp. H5 were obtained via two different isolation methods from the same lake water sample, with optimal algicidal efficiencies 96% and 74% against algae mixture. The Shigella sp. H3 and Alcaligenes sp. H5 lysed algae cells through cells-to-cells direct contact and secretion of algicidal metabolites, respectively. The stronger algicidal capability...

Two new sesquiterpenoid lactone derivatives from Lindera aggregata

Song-Song Wen, Yan Wang, Jia-Ping Xu, Qi Liu, Lei Zhang, Jing Zheng, Lin Li, Na Zhang, Xin Liu, Yu-Wen Xu & Zhen-Liang Sun
Two new sesquiterpenoid lactone derivatives, linderin A (1) and linderin B (2) comprising a sesquiterpenoid lactone and a methyl geranylhomogentisate moiety together with six known compounds were isolated from the roots of Lindera aggregata. Their chemical structures were elucidated using extensive spectroscopic analysis including 1 D, 2 D NMR, and HR-ESI-MS data and compared with previously reported data. The absolute configurations of 1 and 2 were assigned based on the electronic circular dichroism calculation. Compound...

STAT3-induced ZBED3-AS1 promotes the malignant phenotypes of melanoma cells by activating PI3K/AKT signaling pathway

Yang Wang, Nan Lou, Min Zuo, Fuqiang Zhu, Yan He, Zhiqiang Cheng & Xiaomei Wang
Melanoma is considered as the most frequent primary malignancy occurring in skin. Accumulating studies have suggested that long non-coding RNAs (lncRNAs) play critical parts in multiple cancers. In this study, we explored the molecular mechanism of ZBED3 antisense RNA 1 (ZBED3-AS1) in melanoma. We observed that ZBED3-AS1 expression was remarkably up-regulated in melanoma tissues, and high ZBED3-AS1 level was linked to unsatisfactory survival of melanoma patients. Then, we discovered that ZBED3-AS1 was overexpressed in melanoma...

Synergy of alanine and gentamicin to reduce nitric oxide for elevating killing efficacy to antibiotic-resistant Vibrio alginolyticus

Su-fang Kuang, Yue-tao Chen, Jia-jie Chen, Xuan-xian Peng, Zhuanggui Chen & Hui Li
The present study explored the cooperative effect of both alanine (Ala) and gentamicin (Gent) on metabolic mechanisms by which exogenous Ala potentiates Gent to kill antibiotic-resistant Vibrio alginolyticus. To test this, GC-MS-based metabolomics was used to characterize Ala-, Gent- and both-induced metabolic profiles, identifying nitric oxide (NO) production pathway as the most key clue to understand metabolic mechanisms. Gent, Ala and both led to low, lower and lowest activity of total nitric oxide synthase (tNOS)...

Extraction and characterization of a functional protein from Millettia speciosa Champ. leaf

Si-Yuan Luo, Zhi Huang, Xi Chen, Min-Hua Zong & Wen-Yong Lou
Natural plant-derived protein with excellent bioactivities has attracted much attention so a functional protein with molecular weight of 15.2 kDa was extracted from Millettia speciosa Champ. leaf for the first time. Under the pH of 12.0, solid-liquid ratio of 1:40 (w/v), extraction time of 2.0 h, and extraction temperature of 50 °C, the highest extracting efficiency (79.25 ± 0.78%) of the Millettia speciosa Champ. leaf protein (MLP) was achieved. The main structure of MLP contained...

An enhanced methodology for predicting protein-protein interactions between human and hepatitis C virus via ensemble learning algorithms

Xin Liu, Liang Wang, Cheng-Hao Liang, Ya-Ping Lu, Ting Yang & Xiao Zhang
Hepatitis C virus (HCV) is responsible for a variety of human life-threatening diseases, which include liver cirrhosis, chronic hepatitis, fibrosis and hepatocellular carcinoma (HCC) . Computational study of protein-protein interactions between human and HCV could boost the findings of antiviral drugs in HCV therapy and might optimize the treatment procedures for HCV infections. In this analysis, we constructed a prediction model for protein-protein interactions between HCV and human by incorporating the features generated by pseudo...

Registration Year

  • 2021
    408

Resource Types

  • Dataset
    179
  • Text
    170
  • Image
    28
  • Other
    17
  • Collection
    14

Affiliations

  • University of Chinese Academy of Sciences
    408
  • Chinese Academy of Medical Sciences & Peking Union Medical College
    284
  • Chinese Academy of Sciences
    282
  • Shanghai Jiao Tong University
    260
  • Zhejiang University
    252
  • Sun Yat-sen University
    244
  • Capital Medical University
    235
  • Fudan University
    232
  • Sichuan University
    199
  • Huazhong University of Science and Technology
    198