40 Works
Identification and validation of a fatty acid metabolism-related lncRNA signature as a predictor for prognosis and immunotherapy in patients with liver cancer
Erbao Chen, Jing Yi, Jing Jiang, Zhilin Zou, Yuqian Mo, Qingqi Ren, Zewei Lin, Yi Lu, Jian Zhang & Jikui Liu
Abstract Background Fatty acid (FA) metabolism is considered the emerging cause of tumor development and metastasis, driving poor prognosis. Long non-coding RNAs (lncRNAs) are closely related to cancer progression and play important roles in FA metabolism. Thus, the discovery of FA metabolism-related lncRNA signatures to predict outcome and immunotherapy response is critical in improving the survival of patients with hepatocellular carcinoma (HCC). Methods FA metabolism scores and a FA metabolism-related lncRNA signature were constructed using...
Prophylactic antibiotic use during labor and delivery in China: a nationwide, multicenter, hospital-based, cross-sectional study
Qiguo Lian, Tao Zheng, Xiaona Huo, Jun Zhang & Lin Zhang
Abstract Background Prophylactic antibiotic use during delivery is common in routine obstetric practice to prevent infection globally, especially in low- and middle-income countries. In China, however, little is currently known about the national estimates for prophylactic antibiotic use during delivery. Therefore, we aimed to describe the prevalence of prophylactic antibiotic use and guideline adherence using national data in China. Methods This cross-sectional study analyzed a national dataset from the China Labor and Delivery Survey in...
Prophylactic antibiotic use during labor and delivery in China: a nationwide, multicenter, hospital-based, cross-sectional study
Qiguo Lian, Tao Zheng, Xiaona Huo, Jun Zhang & Lin Zhang
Abstract Background Prophylactic antibiotic use during delivery is common in routine obstetric practice to prevent infection globally, especially in low- and middle-income countries. In China, however, little is currently known about the national estimates for prophylactic antibiotic use during delivery. Therefore, we aimed to describe the prevalence of prophylactic antibiotic use and guideline adherence using national data in China. Methods This cross-sectional study analyzed a national dataset from the China Labor and Delivery Survey in...
Psychometric evaluation of the Urgency NRS as a new patient-reported outcome measure for patients with ulcerative colitis
Marla C. Dubinsky, Mingyang Shan, Laure Delbecque, Trevor Lissoos, Theresa Hunter, Gale Harding, Larissa Stassek, David Andrae & James D. Lewis
Abstract Background The Urgency Numeric Rating Scale (NRS) was developed as a content-valid single-item patient-reported outcome measure to assess severity of bowel urgency. Here, we evaluated the psychometric properties of the Urgency NRS. Methods Data were from a multicenter, randomized, placebo-controlled phase 3 trial in adults with moderately to severely active ulcerative colitis (NCT03518086). Patients completed the Urgency NRS using a daily electronic diary, from which weekly average Urgency NRS scores were calculated. Test–retest reliability,...
Prevalence and influence factors of occupational exposure to blood and body fluids in registered Chinese nurses: a national cross-sectional study
Lihui Zhang, Qi Li, Ling Guan, Lu Fan, Yunxia Li, Zhiyun Zhang & Sue Yuan
Abstract Background Occupational exposure to blood and body fluids poses a threat to medical providers and to nurses especially. This harm is not only physical, but psychology as well and can ultimately impact patient safety. This study aims to understand the prevalence of occupational exposure to blood and body fluids among Chinese registered nurses and explores the factors that influence this exposure. Methods A cross-sectional online survey was conducted for 31 province-level divisions in China,...
DrDED, a dataset on literature on risk factors for dry eye disease
Wanju Yang, Kuiliang Yang, Yumiao Pan, Shangcao Wu, Xiangxi Chen, Lei Shen, Qingyan Zeng, Jianhua Wu, Minzhi Lv, Junyan Zhang, Yanning Yang & Yiqiao Xing
1. A dataset on literature on risk factors for dry eye disease (DrDED). 2. The current DrDED contains 44 studies published between 2000 and 2021. 3. The datasheet includes publication information, study characteristics, definition and prevalence of disease, and risk factors for DED together with their strengths of association of eligible studies
Pyrite oxidation under carbonate buffer and its environmental implications: a case study from the Shangmanggang gold deposit, southwest China
Yanyan Wang, Xuemin Liu & Qi Li
Abstract: Understanding the process and influencing factors of the oxidation of pyrite is beneficial for the management of environmental problems in mining areas. In this study, we investigated the morphology and geochemistry of the pyrite and related goethite from the weathering crust of the Shangmanggang (SMG) gold deposit, southwest China, via petrographic work, electron microprobe analysis, X-ray diffraction analysis, and PHREEQC geochemical modelling. The weathering profile of the SMG is composed of the unweathered Carlin-type...
Nasopharyngeal aspirates in children with severe community-acquired pneumonia collected within 3 days before bronchoscopy can partially reflect the pathogens in bronchoalveolar lavage fluids
Qiguo Zhu, Junli Zhou, Fei Li, Peng Shi, Yi Lu, Xiaoliang Lin, Lin Yuan, Zhiqiang Zhuo & Jun Shen
Abstract Background There is little evidence about consistency between nasopharyngeal and pulmonary pathogens in children with severe pneumonia. This study aims to compare the difference of pathogens between nasopharyngeal aspirates (NPAs) collected before bronchoscopy and bronchoalveolar lavage fluids (BALFs) in children with severe community-acquired pneumonia (SCAP). Methods NPAs and BALFs were collected form pediatric SCAP cases hospitalized from January 2018 to March 2019. NPAs were colleced within 3 days before bronchoscopy. Samples were detected by...
Joint modeling strategy for using electronic medical records data to build machine learning models: an example of intracerebral hemorrhage
Jianxiang Tang, Xiaoyu Wang, Hongli Wan, Chunying Lin, Zilun Shao, Yang Chang, Hexuan Wang, Yi Wu, Tao Zhang & Yu Du
Abstract Background Outliers and class imbalance in medical data could affect the accuracy of machine learning models. For physicians who want to apply predictive models, how to use the data at hand to build a model and what model to choose are very thorny problems. Therefore, it is necessary to consider outliers, imbalanced data, model selection, and parameter tuning when modeling. Methods This study used a joint modeling strategy consisting of: outlier detection and removal,...
Effects of treatment with montelukast alone, budesonide/formoterol alone and a combination of both in cough variant asthma
Fang Yi, Chen Zhan, Baojuan Liu, Hu Li, Jianmeng Zhou, Jiaman Tang, Wen Peng, Wei Luo, Qiaoli Chen & Kefang Lai
Abstract Background Whether cysteinyl-leukotriene receptor antagonists (LTRAs) have a similar antitussive effect to inhaled corticosteroids and long-acting β2-agonist (ICS/LABA), and that LTRA plus ICS/LABA is superior to LTRAs alone or ICS/LABA alone in treating cough variant asthma (CVA) remain unclear. This study aimed to investigate and compare the efficacy of montelukast alone, budesonide/formoterol alone and the combination of both in the treatment of CVA. Methods Ninety-nine CVA patients were assigned randomly in a 1:1:1 ratio...
Identification and validation of a fatty acid metabolism-related lncRNA signature as a predictor for prognosis and immunotherapy in patients with liver cancer
Erbao Chen, Jing Yi, Jing Jiang, Zhilin Zou, Yuqian Mo, Qingqi Ren, Zewei Lin, Yi Lu, Jian Zhang & Jikui Liu
Abstract Background Fatty acid (FA) metabolism is considered the emerging cause of tumor development and metastasis, driving poor prognosis. Long non-coding RNAs (lncRNAs) are closely related to cancer progression and play important roles in FA metabolism. Thus, the discovery of FA metabolism-related lncRNA signatures to predict outcome and immunotherapy response is critical in improving the survival of patients with hepatocellular carcinoma (HCC). Methods FA metabolism scores and a FA metabolism-related lncRNA signature were constructed using...
Profiling the transcriptomic signatures and identifying the patterns of zygotic genome activation – a comparative analysis between early porcine embryos and their counterparts in other three mammalian species
Yanhui Zhai, Hao Yu, Xinglan An, Zhiren Zhang, Meng Zhang, Sheng Zhang, Qi Li & Ziyi Li
Abstract Background The transcriptional changes around zygotic genome activation (ZGA) in preimplantation embryos are critical for studying mechanisms of embryonic developmental arrest and searching for key transcription factors. However, studies on the transcription profile of porcine ZGA are limited. Results In this study, we performed RNA sequencing in porcine in vivo developed (IVV) and somatic cell nuclear transfer (SCNT) embryo at different stages and compared the transcriptional activity of porcine embryos with mouse, bovine and...
An explainable artificial intelligence system for diagnosing Helicobacter Pylori infection under endoscopy: a case–control study
Mengjiao Zhang, Jie Pan, Jiejun Lin, Ming Xu, Lihui Zhang, Renduo Shang, Liwen Yao, Yanxia Li, Wei Zhou, Yunchao Deng, Zehua Dong, Yijie Zhu, Xiao Tao, Lianlian Wu & Honggang Yu
Background:Changes in gastric mucosa caused by Helicobacter pylori (H. pylori) infection affect the observation of early gastric cancer under endoscopy. Although previous researches reported that computer-aided diagnosis (CAD) systems have great potential in the diagnosis of H. pylori infection, their explainability remains a challenge.Objective:We aim to develop an explainable artificial intelligence system for diagnosing H. pylori infection (EADHI) and giving diagnostic basis under endoscopy.Design:A case–control study.Methods:We retrospectively obtained 47,239 images from 1826 patients between 1...
Joint modeling strategy for using electronic medical records data to build machine learning models: an example of intracerebral hemorrhage
Jianxiang Tang, Xiaoyu Wang, Hongli Wan, Chunying Lin, Zilun Shao, Yang Chang, Hexuan Wang, Yi Wu, Tao Zhang & Yu Du
Abstract Background Outliers and class imbalance in medical data could affect the accuracy of machine learning models. For physicians who want to apply predictive models, how to use the data at hand to build a model and what model to choose are very thorny problems. Therefore, it is necessary to consider outliers, imbalanced data, model selection, and parameter tuning when modeling. Methods This study used a joint modeling strategy consisting of: outlier detection and removal,...
A single-model multi-task deep learning network for recognition and quantitation of surface-enhanced Raman spectroscopy
Luyuan xie, Yujian Shen, Meng Zhang, yan zhong, Yi Lu, Longkun Yang & Zhipeng Li
SERS spectroscopy analysis has long been the central task of nanoscience and nanotechnology to realize the ultrasensitive recognition/quantitation applications. Recently, the blooming of artificial intelligence algorithms provides an edge tool to revolutionize the spectroscopy analysis, especially, for large-scale data handling. In this study, a single-model multi-task deep learning network is proposed to simultaneously achieve the qualitative recognition and quantitative analysis of SERS spectroscopy. The SERS spectra of two kinds of hypoglycemic drugs, PHE and ROS,...
Fiber reinforced polypropylene composites interfacial behavior improvement fabricated by cold plasma jet SiOx nanoparticles deposition
Lin Zhang, Zhangchuan Xia, Yadong He, Chunling Xin, Yang Yu, Feng Ren & Ruixue Wang
In this study, cold atmospheric pressure plasma jet was adopted to glass fibers surface modification with tetraethyl orthosilicate as a precursor. To enhance the interfacial bonding forces of glass fiber reinforced polypropylene (GFRP) composites, SiOx nanoparticles were polymerized on the fiber surfaces. The effect of two factors (the distance between nozzle and fiber (D) and the treatment time (T)) on the interfacial bonding behavior of GFRP composites was studied. The modified fibers and composites properties,...
Tensile strained direct bandgap GeSn microbridges enabled in GeSn-on-insulator substrates with residual tensile strain
Daniel Burt, Lin Zhang, Yongduck Jung, Hyo-Jun Joo, Youngmin Kim, Melvina Chen, Bongkwon Son, WJ FAN, Zoran Ikonic & Chuan Seng Tan
Tensile strained GeSn alloys are being extensively explored as a potential gain medium for lasers compatible with complementary metal-oxide-semiconductor (CMOS) technology. Despite having achieved drastically improved lasing characteristics by harnessing tensile strain, the current methods of introducing a sizeable tensile strain into GeSn lasers require complex fabrication processes, thus reducing the viability of the lasers for practical applications. The geometric strain amplification is a simple technique that can concentrate residual and small tensile strain into...
Profiling the transcriptomic signatures and identifying the patterns of zygotic genome activation – a comparative analysis between early porcine embryos and their counterparts in other three mammalian species
Yanhui Zhai, Hao Yu, Xinglan An, Zhiren Zhang, Meng Zhang, Sheng Zhang, Qi Li & Ziyi Li
Abstract Background The transcriptional changes around zygotic genome activation (ZGA) in preimplantation embryos are critical for studying mechanisms of embryonic developmental arrest and searching for key transcription factors. However, studies on the transcription profile of porcine ZGA are limited. Results In this study, we performed RNA sequencing in porcine in vivo developed (IVV) and somatic cell nuclear transfer (SCNT) embryo at different stages and compared the transcriptional activity of porcine embryos with mouse, bovine and...
Nasopharyngeal aspirates in children with severe community-acquired pneumonia collected within 3 days before bronchoscopy can partially reflect the pathogens in bronchoalveolar lavage fluids
Qiguo Zhu, Junli Zhou, Fei Li, Peng Shi, Yi Lu, Xiaoliang Lin, Lin Yuan, Zhiqiang Zhuo & Jun Shen
Abstract Background There is little evidence about consistency between nasopharyngeal and pulmonary pathogens in children with severe pneumonia. This study aims to compare the difference of pathogens between nasopharyngeal aspirates (NPAs) collected before bronchoscopy and bronchoalveolar lavage fluids (BALFs) in children with severe community-acquired pneumonia (SCAP). Methods NPAs and BALFs were collected form pediatric SCAP cases hospitalized from January 2018 to March 2019. NPAs were colleced within 3 days before bronchoscopy. Samples were detected by...
Effects of treatment with montelukast alone, budesonide/formoterol alone and a combination of both in cough variant asthma
Fang Yi, Chen Zhan, Baojuan Liu, Hu Li, Jianmeng Zhou, Jiaman Tang, Wen Peng, Wei Luo, Qiaoli Chen & Kefang Lai
Abstract Background Whether cysteinyl-leukotriene receptor antagonists (LTRAs) have a similar antitussive effect to inhaled corticosteroids and long-acting β2-agonist (ICS/LABA), and that LTRA plus ICS/LABA is superior to LTRAs alone or ICS/LABA alone in treating cough variant asthma (CVA) remain unclear. This study aimed to investigate and compare the efficacy of montelukast alone, budesonide/formoterol alone and the combination of both in the treatment of CVA. Methods Ninety-nine CVA patients were assigned randomly in a 1:1:1 ratio...
Both indirect maternal and direct fetal genetic effects reflect the observational relationship between higher birth weight and lower adult bone mass
Jiang-Wei Xia, Lin Zhang, Jin Li, Cheng-Da Yuan, Xiao-Wei Zhu, Yu Qian, Saber Khederzadeh, Jia-Xuan Gu, Lin Xu, Jian-Hua Gao, Ke-Qi Liu, David Karasik, Shu-Yang Xie, Guo-Bo Chen & Hou-Feng Zheng
Abstract Background Birth weight is considered not only to undermine future growth, but also to induce lifelong diseases; the aim of this study is to explore the relationship between birth weight and adult bone mass. Methods We performed multivariable regression analyses to assess the association of birth weight with bone parameters measured by dual-energy X-ray absorptiometry (DXA) and by quantitative ultrasound (QUS), independently. We also implemented a systemic Mendelian randomization (MR) analysis to explore the...
Prevalence and influence factors of occupational exposure to blood and body fluids in registered Chinese nurses: a national cross-sectional study
Lihui Zhang, Qi Li, Ling Guan, Lu Fan, Yunxia Li, Zhiyun Zhang & Sue Yuan
Abstract Background Occupational exposure to blood and body fluids poses a threat to medical providers and to nurses especially. This harm is not only physical, but psychology as well and can ultimately impact patient safety. This study aims to understand the prevalence of occupational exposure to blood and body fluids among Chinese registered nurses and explores the factors that influence this exposure. Methods A cross-sectional online survey was conducted for 31 province-level divisions in China,...
Psychometric evaluation of the Urgency NRS as a new patient-reported outcome measure for patients with ulcerative colitis
Marla C. Dubinsky, Mingyang Shan, Laure Delbecque, Trevor Lissoos, Theresa Hunter, Gale Harding, Larissa Stassek, David Andrae & James D. Lewis
Abstract Background The Urgency Numeric Rating Scale (NRS) was developed as a content-valid single-item patient-reported outcome measure to assess severity of bowel urgency. Here, we evaluated the psychometric properties of the Urgency NRS. Methods Data were from a multicenter, randomized, placebo-controlled phase 3 trial in adults with moderately to severely active ulcerative colitis (NCT03518086). Patients completed the Urgency NRS using a daily electronic diary, from which weekly average Urgency NRS scores were calculated. Test–retest reliability,...
An explainable artificial intelligence system for diagnosing Helicobacter Pylori infection under endoscopy: a case–control study
Mengjiao Zhang, Jie Pan, Jiejun Lin, Ming Xu, Lihui Zhang, Renduo Shang, Liwen Yao, Yanxia Li, Wei Zhou, Yunchao Deng, Zehua Dong, Yijie Zhu, Xiao Tao, Lianlian Wu & Honggang Yu
Background:Changes in gastric mucosa caused by Helicobacter pylori (H. pylori) infection affect the observation of early gastric cancer under endoscopy. Although previous researches reported that computer-aided diagnosis (CAD) systems have great potential in the diagnosis of H. pylori infection, their explainability remains a challenge.Objective:We aim to develop an explainable artificial intelligence system for diagnosing H. pylori infection (EADHI) and giving diagnostic basis under endoscopy.Design:A case–control study.Methods:We retrospectively obtained 47,239 images from 1826 patients between 1...
Both indirect maternal and direct fetal genetic effects reflect the observational relationship between higher birth weight and lower adult bone mass
Jiang-Wei Xia, Lin Zhang, Jin Li, Cheng-Da Yuan, Xiao-Wei Zhu, Yu Qian, Saber Khederzadeh, Jia-Xuan Gu, Lin Xu, Jian-Hua Gao, Ke-Qi Liu, David Karasik, Shu-Yang Xie, Guo-Bo Chen & Hou-Feng Zheng
Abstract Background Birth weight is considered not only to undermine future growth, but also to induce lifelong diseases; the aim of this study is to explore the relationship between birth weight and adult bone mass. Methods We performed multivariable regression analyses to assess the association of birth weight with bone parameters measured by dual-energy X-ray absorptiometry (DXA) and by quantitative ultrasound (QUS), independently. We also implemented a systemic Mendelian randomization (MR) analysis to explore the...
Affiliations
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Eli Lilly (United States)40
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Shanghai Jiao Tong University30
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Fudan University24
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Chinese Academy of Medical Sciences & Peking Union Medical College24
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Zhejiang University20
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Chinese Academy of Sciences18
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Jiangsu Province Hospital18
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Southern Medical University17
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Sichuan University16
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Capital Medical University14