5,392 Works

Fluorescence lifetime tracking and imaging of single moving particles assisted by a low-photon-count analysis algorithm

Pengfa Chen, QIN KANG, Jingjing Niu, Yingying Jing, Xiao Zhang, Bin Yu, Junle Qu & Danying Lin
Fluorescence lifetime imaging microscopy (FLIM) has been widely used in the field of biological research because of its high specificity, sensitivity and quantitative ability in sensing cellular microenvironment. The most commonly used FLIM technology is based on time-correlated single photon counting (TCSPC). Although TCSPC method has the highest temporal resolution, the data acquisition time is usually long and the imaging speed is slow. In this work, we proposed a fast FLIM technology for fluorescence lifetime...

Temporal relationship between atherogenic dyslipidemia and inflammation and their joint cumulative effect on type 2 diabetes onset: a longitudinal cohort study

Yulong Lan, Guanzhi Chen, Dan Wu, Xiong Ding, Zegui Huang, Xianxuan Wang, Lois Balmer, Xingang Li, Manshu Song, Wei Wang, Shouling Wu & Youren Chen
Abstract Background Concurrent atherogenic dyslipidemia and elevated inflammation are commonly observed in overt hyperglycemia and have long been proposed to contribute to diabetogenesis. However, the temporal relationship between them and the effect of their cumulative co-exposure on future incident type 2 diabetes (T2D) remains unclear. Methods Longitudinal analysis of data on 52,224 participants from a real-world, prospective cohort study (Kailuan Study) was performed to address the temporal relationship between high-sensitivity C-reactive protein (hsCRP) and the...

Identifying cancer driver genes based on multi-view heterogeneous graph convolutional network and self-attention mechanism

Wei Peng, Rong Wu, Wei Dai & Ning Yu
Abstract Background Correctly identifying the driver genes that promote cell growth can significantly assist drug design, cancer diagnosis and treatment. The recent large-scale cancer genomics projects have revealed multi-omics data from thousands of cancer patients, which requires to design effective models to unlock the hidden knowledge within the valuable data and discover cancer drivers contributing to tumorigenesis. Results In this work, we propose a graph convolution network-based method called MRNGCN that integrates multiple gene relationship...

Aberrant JAK-STAT signaling-mediated chromatin remodeling impairs the sensitivity of NK/T-cell lymphoma to chidamide

Jinghong Chen, Zhixiang Zuo, Yan Gao, Xiaosai Yao, Peiyong Guan, Yali Wang, Zhimei Li, Zhilong Liu, Jing Han Hong, Peng Deng, Jason Yongsheng Chan, Daryl Ming Zhe Cheah, Jingquan Lim, Kelila Xin Ye Chai, Burton Kuan Hui Chia, Jane Wan Lu Pang, Joanna Koh, Dachuan Huang, Haixia He, Yichen Sun, Lizhen Liu, Shini Liu, Yuhua Huang, Xiaoxiao Wang, Hua You … & Jing Tan
Abstract Background Natural killer/T-cell lymphoma (NKTL) is a rare type of aggressive and heterogeneous non-Hodgkin's lymphoma (NHL) with a poor prognosis and limited therapeutic options. Therefore, there is an urgent need to exploit potential novel therapeutic targets for the treatment of NKTL. Histone deacetylase (HDAC) inhibitor chidamide was recently approved for treating relapsed/refractory peripheral T-cell lymphoma (PTCL) patients. However, its therapeutic efficacy in NKTL remains unclear. Methods We performed a phase II clinical trial to...

The BRD4 inhibitor JQ1 augments the antitumor efficacy of abemaciclib in preclinical models of gastric carcinoma

Mei Feng, Hao Xu, Wenyuan Zhou & Yisheng Pan
Abstract Background Advanced gastric cancer (GC) is a lethal malignancy, harboring recurrent alterations in cell cycle pathway, especially the CDKN2A-CDK4/CDK6/CCND1 axis. However, monotherapy of CDK4/6 inhibitors has shown limited antitumor effects for GC, and combination treatments were urgently needed for CDK4/6 inhibitors. Methods Here, we performed a comprehensive analysis, including drug screening, pan-cancer genomic dependency analysis, and epigenetic sequencing to identify the candidate combination with CDK4/6 inhibitors. Mechanisms were investigated by bulk RNA-sequencing and experimental...

Obesity difference on association blood malondialdehyde level and diastolic hypertension in the elderly population: a cross-sectional analysis

Ying Huang, Hong Chen, Qifan Liu, Jinzhu Hu, Dongxi Hu, Zixi Huang, Zhenyan Xu & Rong Wan
Abstract Aims Although increased production of malondialdehyde (MDA), an end product of lipid oxidation caused by reactive oxygen species (ROS), has been found be elevated in hypertensive population, whether MDA contributed to a changed risk of hypertension is uncertain. We aimed to investigate whether elevated blood levels of MDA contribute to increased risk of hypertension and obesity has a modified effect on the association in an older Chinese population. Methods Data were obtained from 2011...

Effect of positive event recording based on positive psychology on healthy behaviors and readmission rate of patients after PCI: a study protocol for a prospective, randomized controlled trial

Yao-Yao Hu, Xin Jiang, Fang-Ying Mao, Jing Zhang, Lin Liu, Jie Gu, Qing Wu & Chun Li
Abstract Background Unhealthy behaviors of coronary heart disease (CHD) patients are closely related to the occurrence of major heart events, which increases the readmission rate and brings a heavy economic burden to families and society. Therefore, it is necessary for health care workers to take active preventive and therapeutic measures to keep or establish healthy behaviors of patients. Positive psychological intervention has been proved to be effective, but it has not been reported in the...

Temperature variability and common diseases of the elderly in China: a national cross-sectional study

Bo Wen, Bin Bin Su, Jiahui Xue, Junqing Xie, Yao Wu, Li Chen, Yanhui Dong, Xiaolan Wu, Mengfan Wang, Yi Song, Jun Ma & Xiaoying Zheng
Abstract Background In the context of climate change, it has been well observed that short-term temperature variability (TV) could increase the overall and cause-specific mortality and morbidity. However, the association between long-term TV and a broader spectrum of diseases is not yet well understood, especially in the elderly. Methods Our study used data from the fourth Urban and Rural Elderly Population (UREP) study. Long-term TV was calculated from the standard deviation (SD) of daily minimum...

Neural biomarker diagnosis and prediction to mild cognitive impairment and Alzheimer’s disease using EEG technology

Bin Jiao, Rihui Li, Hui Zhou, Kunqiang Qing, Hui Liu, Hefu Pan, Yanqin Lei, Wenjin Fu, Xiaoan Wang, Xuewen Xiao, Xixi Liu, Qijie Yang, Xinxin Liao, Yafang Zhou, Liangjuan Fang, Yanbin Dong, Yuanhao Yang, Haiyan Jiang, Sha Huang & Lu Shen
Abstract Background Electroencephalogram (EEG) has emerged as a non-invasive tool to detect the aberrant neuronal activity related to different stages of Alzheimer’s disease (AD). However, the effectiveness of EEG in the precise diagnosis and assessment of AD and its preclinical stage, amnestic mild cognitive impairment (MCI), has yet to be fully elucidated. In this study, we aimed to identify key EEG biomarkers that are effective in distinguishing patients at the early stage of AD and...

Neural biomarker diagnosis and prediction to mild cognitive impairment and Alzheimer’s disease using EEG technology

Bin Jiao, Rihui Li, Hui Zhou, Kunqiang Qing, Hui Liu, Hefu Pan, Yanqin Lei, Wenjin Fu, Xiaoan Wang, Xuewen Xiao, Xixi Liu, Qijie Yang, Xinxin Liao, Yafang Zhou, Liangjuan Fang, Yanbin Dong, Yuanhao Yang, Haiyan Jiang, Sha Huang & Lu Shen
Abstract Background Electroencephalogram (EEG) has emerged as a non-invasive tool to detect the aberrant neuronal activity related to different stages of Alzheimer’s disease (AD). However, the effectiveness of EEG in the precise diagnosis and assessment of AD and its preclinical stage, amnestic mild cognitive impairment (MCI), has yet to be fully elucidated. In this study, we aimed to identify key EEG biomarkers that are effective in distinguishing patients at the early stage of AD and...

Prenatal exposure to fine particulate matter and newborn anogenital distance: a prospective cohort study

Xiaoli Shen, Xia Meng, Cuiping Wang, Xiangfeng Chen, Qian Chen, Jing Cai, Jun Zhang, Qianlong Zhang & Lichun Fan
Abstract Background Considerable attention has been paid to reproductive toxicity of fine particulate matter (PM2.5). However, the relationship between prenatal PM2.5 exposure and anogenital distance (AGD) has not been well studied. We aim to investigate the potential effects of prenatal exposure to PM2.5 on newborn AGD. Methods Prenatal PM2.5 exposure of 2332 participates in Shanghai (2013–2016) was estimated using high-performance machine learning models. Anoscrotal distance (AGDas) in male infants and anofourchette distance (AGDaf) in female...

Prenatal exposure to fine particulate matter and newborn anogenital distance: a prospective cohort study

Xiaoli Shen, Xia Meng, Cuiping Wang, Xiangfeng Chen, Qian Chen, Jing Cai, Jun Zhang, Qianlong Zhang & Lichun Fan
Abstract Background Considerable attention has been paid to reproductive toxicity of fine particulate matter (PM2.5). However, the relationship between prenatal PM2.5 exposure and anogenital distance (AGD) has not been well studied. We aim to investigate the potential effects of prenatal exposure to PM2.5 on newborn AGD. Methods Prenatal PM2.5 exposure of 2332 participates in Shanghai (2013–2016) was estimated using high-performance machine learning models. Anoscrotal distance (AGDas) in male infants and anofourchette distance (AGDaf) in female...

A bibliometric analysis of chronic subdural hematoma since the twenty-first century

Rundong Chen, Yanpeng Wei, Xiaolong Xu, Renkun Zhang, Yuhao Tan, Guanghao Zhang, Hongwei Yin, Dongwei Dai, Qiang Li, Rui Zhao, Qinghai Huang, Yi Xu, Pengfei Yang, Jianmin Liu & Qiao Zuo
Abstract Background Chronic subdural hematoma (CSDH) is a common disease that forms between the dura and arachnoid membranes of the brain. With the development of medications and surgery, significant progress has been made in the diagnosis and treatment of CSDH. However, there is no comprehensive analysis available on CSDH-related studies published in the literature. This study aimed to collect and analyze CSDH-related studies published since the twenty-first century using bibliometric analysis and to summarize the...

Combined with UPLC-Triple-TOF/MS-based plasma lipidomics and molecular pharmacology reveals the mechanisms of schisandrin against Alzheimer’s disease

Tian-tian Zhao, Ying Zhang, Cheng-qin Zhang, Ya-fei Chang, Mei-rong Cui, Yue Sun, Wen-qian Hao, Yu-meng Yan, Shuo Gu, Yao Xie & Bin-bin Wei
Abstract Background Alzheimer’s disease (AD), a type of neurodegeneration disease, is characterized by Aβ deposition and tangles of nerve fibers. Schisandrin is one of the main components of Fructus Schisandrae Chinensis. Researches showed that schisandrin can improve the cognitive impairment and memory of AD mice, but the specific mechanism has not been fully elucidated. Purpose The purpose of this study is to investigate the possible mechanism of schisandrin in improving AD pathology. Methods The Morris...

Integrin Mac1 mediates paraquat and maneb-induced learning and memory impairments in mice through NADPH oxidase–NLRP3 inflammasome axis-dependent microglial activation

Liyan Hou, Jianing Liu, Fuqiang Sun, Ruixue Huang, Rui Chang, Zhengzheng Ruan, Ying Wang, Jie Zhao & Qingshan Wang
Abstract Introduction The mechanisms of cognitive impairments in Parkinson’s disease (PD) remain unknown. Accumulating evidence revealed that brain neuroinflammatory response mediated by microglial cells contributes to cognitive deficits in neuropathological conditions and macrophage antigen complex-1 (Mac1) is a key factor in controlling microglial activation. Objectives To explore whether Mac1-mediated microglial activation participates in cognitive dysfunction in PD using paraquat and maneb-generated mouse PD model. Methods Cognitive performance was measured in wild type and Mac1−/− mice...

A population-based study to assess two convolutional neural networks for dental age estimation

Jian Wang, Jiawei Dou, Jiaxuan Han, Guoqiang Li & Jiang Tao
Abstract Background Dental age (DA) estimation using two convolutional neural networks (CNNs), VGG16 and ResNet101, remains unexplored. In this study, we aimed to investigate the possibility of using artificial intelligence-based methods in an eastern Chinese population. Methods A total of 9586 orthopantomograms (OPGs) (4054 boys and 5532 girls) of the Chinese Han population aged from 6 to 20 years were collected. DAs were automatically calculated using the two CNN model strategies. Accuracy, recall, precision, and...

Explosive eye injuries: characteristics, traumatic mechanisms, and prognostic factors for poor visual outcomes

Ying Zhang, Xin Kang, Qiong Wu, Zhong Zheng, Jun Ying & Mao-Nian Zhang
Abstract Background Explosions can produce blast waves, high-speed medium, thermal radiation, and chemical spatter, leading to complex and compound eye injuries. However, few studies have comprehensively investigated the clinical features of different eye injury types or possible risk factors for poor prognosis. Methods We retrospectively reviewed all consecutive records of explosive eye injuries (1449 eyes in 1115 inpatients) in 14 tertiary referral hospitals in China over 12 years (between January 2008 and December 2019). Data...

Rehabilitation and outcomes after complicated vs uncomplicated mild TBI: results from the CENTER-TBI study

Emilie Isager Howe, Marina Zeldovich, Nada Andelic, Nicole von Steinbuechel, Silje C. R. Fure, Ida M. H. Borgen, Marit V. Forslund, Torgeir Hellstrøm, Helene L. Søberg, Unni Sveen, Mari Rasmussen, Ingerid Kleffelgaard, Cathrine Tverdal, Eirik Helseth, Marianne Løvstad, Juan Lu, Juan Carlos Arango-Lasprilla, Olli Tenovuo, Philippe Azouvi, Helen Dawes & Cecilie Roe
Abstract Background Despite existing guidelines for managing mild traumatic brain injury (mTBI), evidence-based treatments are still scarce and large-scale studies on the provision and impact of specific rehabilitation services are needed. This study aimed to describe the provision of rehabilitation to patients after complicated and uncomplicated mTBI and investigate factors associated with functional outcome, symptom burden, and TBI-specific health-related quality of life (HRQOL) up to six months after injury. Methods Patients (n = 1379) with...

Characteristics and fetal outcomes of pregnant women with hypertensive disorders in China: a 9-year national hospital-based cohort study

Yi Yang, Yanxia Xie, Mingrong Li, Yi Mu, Peiran Chen, Zheng Liu, Yanping Wang, Qi Li, Xiaohong Li, Li Dai, Juan Liang & Jun Zhu
Abstract Background Hypertensive disorders of pregnancy (HDP) are a growing concern and a challenge for maternity care providers as the prevalence of hypertension continues to increase. However, optimal management of HDP is unclear. Therefore, we aimed to explore the differences in adverse fetal outcomes among women with different subtypes of HDP and different blood pressure (BP) levels, to provide evidence-based management of HDP. Methods We obtained data from China’s National Maternal Near-Miss Surveillance System from...

Comprehensive analysis of cuproptosis-related lncRNAs in immune infiltration and prognosis in hepatocellular carcinoma

Chunhua Liu, Simin Wu, Liying Lai, Jinyu Liu, Zhaofu Guo, Zegen Ye & Xiang Chen
Abstract Background Being among the most common malignancies worldwide, hepatocellular carcinoma (HCC) accounting for the third cause of cancer mortality. The regulation of cell death is the most crucial step in tumor progression and has become a crucial target for nearly all therapeutic options. Cuproptosis, a copper-induced cell death, was recently reported in Science. However, its primary function in carcinogenesis is still unclear. Methods Cuproptosis-related lncRNAs significantly associated with overall survival (OS) were screened by...

PET-based radiomics visualizes tumor-infiltrating CD8 T cell exhaustion to optimize radiotherapy/immunotherapy combination in mouse models of lung cancer

Ying Zhang, Hui-Hui Hu, Shi-Hong Zhou, Wu-Yan Xia, Yan Zhang, Jian-Ping Zhang, Xiao-Long Fu & Wen Yu
Abstract Background Cumulative preclinical and clinical evidences showed radiotherapy might augment systemic antitumoral responses to immunotherapy for metastatic non-small cell lung cancer, but the optimal timing of combination is still unclear. The overall infiltration and exhausted subpopulations of tumor-infiltrating CD8+ T cells might be a potential biomarker indicating the response to immune checkpoint inhibitors (ICI), the alteration of which is previously uncharacterized during peri-irradiation period, while dynamic monitoring is unavailable via repeated biopsies in clinical...

Analysis of gut microbiota diversity in Hashimoto’s thyroiditis patients

Jilai Liu, Xuejun Qin, Boxi Lin, Jing Cui, Juan Liao, Fu Zhang & Qing Lin
Abstract Background Hashimoto’s thyroiditis (HT) is an autoimmune disease. Recent studies have found that the gut microbiota may play an important role in inducing HT, but there are no systematic studies on the changes in the gut microbiota during the development of HT. Methods In this study, 16S rDNA high-throughput sequencing technology in combination with the Kruskal–Wallis test, CCA/RDA analysis, Spearman correlation analysis, and other statistical methods were used to analyze the effects of age,...

LINC00858 stabilizes RAN expression and promotes metastasis of gastric cancer

Yunxin Lu, Qi Meng, Long Bai, Ruobing Wang, Yong Sun, Jiaqi Li, Jun Fan & Tian Tian
Abstract Metastasis constitutes one of the major causes of tumor-related death in gastric cancer (GC), and understanding key events in the initiation of this phenotypic switch may provide therapeutic opportunities. Long noncoding RNAs (lncRNAs) are emerging as molecules that play vital roles in tumorigenesis and metastasis. In this study, we aimed to identify metastasis-related lncRNAs in the context of GC. The lncRNAs overexpressed in tumor tissues and positively associated with overall survival were screened out...

LINC00858 stabilizes RAN expression and promotes metastasis of gastric cancer

Yunxin Lu, Qi Meng, Long Bai, Ruobing Wang, Yong Sun, Jiaqi Li, Jun Fan & Tian Tian
Abstract Metastasis constitutes one of the major causes of tumor-related death in gastric cancer (GC), and understanding key events in the initiation of this phenotypic switch may provide therapeutic opportunities. Long noncoding RNAs (lncRNAs) are emerging as molecules that play vital roles in tumorigenesis and metastasis. In this study, we aimed to identify metastasis-related lncRNAs in the context of GC. The lncRNAs overexpressed in tumor tissues and positively associated with overall survival were screened out...

Eating habit of adding salt to foods and incident sleep apnea: a prospective cohort study

Tingting Li, Lin Song, Guang Li, Fengping Li, Xiaoge Wang, Liangkai Chen, Shuang Rong & Li Zhang
Abstract Background Previous studies have revealed that sodium-restricted diet intervention significantly decreased apnea frequency among patients with sleep apnea. However, the longitudinal association between the habit of adding salt to foods and sleep apnea in general populations is uncertain. Methods The UK Biobank cohort study includes more than 500,000 participants aged 40 to 69 across the United Kingdom from 2006 to 2010. The frequency of adding salt to foods was collected through a touch screen...

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