152 Works

Gene expression profiles provide insights into the survival strategies in deep-sea mussel (Bathymodiolus platifrons) of different developmental stages

Junrou Huang, Peilin Huang, Jianguo Lu, Nengyou Wu, Genmei Lin, Xilin Zhang, Hong Cao, Wei Geng, Bin Zhai, Cuiling Xu & Zhilei Sun
Abstract Background Deep-sea mussels living in the cold seeps with enormous biomass act as the primary consumers. They are well adapted to the extreme environment where light is absent, and hydrogen sulfide, methane, and other hydrocarbon-rich fluid seepage occur. Despite previous studies on diversity, role, evolution, and symbiosis, the changing adaptation patterns during different developmental stages of the deep-sea mussels remain largely unknown. Results The deep-sea mussels (Bathymodiolus platifrons) of two developmental stages were collected...

Hemin-incorporating DNA nanozyme enabling catalytic oxygenation and GSH depletion for enhanced photodynamic therapy and synergistic tumor ferroptosis

Xiaoxiong Xiao, Min Chen, Yuchen Zhang, Liang Li, Ying Peng, Junyu Li & Wenhu Zhou
Abstract Photodynamic therapy (PDT) has emerged as a promising tumor treatment method via light-triggered generation of reactive oxygen species (ROS) to kill tumor cells. However, the efficacy of PDT is usually restricted by several biological limitations, including hypoxia, excess glutathione (GSH) neutralization, as well as tumor resistance. To tackle these issues, herein we developed a new kind of DNA nanozyme to realize enhanced PDT and synergistic tumor ferroptosis. The DNA nanozyme was constructed via rolling...

Community composition and trophic mode diversity of fungi associated with fruiting body of medicinal Sanghuangporus vaninii

Yanjun Ma, Weiqian Gao, Fan Zhang, Xuetai Zhu, Weibao Kong, Shiquan Niu, Kun Gao & Hongqin Yang
Abstract Background: The microbial symbionts of macrofungal fruiting body have been shown to play momentous roles in host growth, development, and secondary metabolism. Nevertheless, there is no report on the fungal diversity of Sanghuangporus, a medicinal and edible homologous macrofungus as “forest gold”, which has good effects on antioxidation, boosting immunity and curing stomachache. Here, the diversity and functional group of fungi associated with the fruiting body of the most widely applied S. vaninii were...

Zinc oxide nanoparticle regulates the ferroptosis, proliferation, invasion and steaminess of cervical cancer by miR-506-3p/CD164 signaling

Jie-Yun Lei, Shuang-Xue Li, Feng Li, Hui Li & Yuan-Sheng Lei
Abstract Background Cancer stem cell (CSC) and ferroptosis play critical roles in cancer development, but the underlying mechanisms remain unclear. Cervical cancer induces a great mortality and an increased incidence globally. Zinc oxide nanoparticle is the nanomaterial that has been applied in industrial products and targets multiple cancer cell types and cancer stem cells. Here, we aimed to explore the effect of ZON on CSC and ferroptosis of cervical cancer. Methods In the present study,...

Zinc oxide nanoparticle regulates the ferroptosis, proliferation, invasion and steaminess of cervical cancer by miR-506-3p/CD164 signaling

Jie-Yun Lei, Shuang-Xue Li, Feng Li, Hui Li & Yuan-Sheng Lei
Abstract Background Cancer stem cell (CSC) and ferroptosis play critical roles in cancer development, but the underlying mechanisms remain unclear. Cervical cancer induces a great mortality and an increased incidence globally. Zinc oxide nanoparticle is the nanomaterial that has been applied in industrial products and targets multiple cancer cell types and cancer stem cells. Here, we aimed to explore the effect of ZON on CSC and ferroptosis of cervical cancer. Methods In the present study,...

Real-time realistic computer-generated hologram with accurate depth precision and a large depth range

Chongli Zhong, Xinzhu Sang, Binbin Yan, Hui Li, Duo Chen & Xiujuan Qin
Holographic display is an ideal technology for near-eye display to realize virtual and augmented reality applications, because it can provide all depth perception cues. However, depth performance is sacrificed by exiting computer-generated hologram (CGH) methods for real-time calculation. In this paper, volume representation and improved ray tracing algorithm are proposed for real-time CGH generation with enhanced depth performance. Using the single fast Fourier transform (S-FFT) method, the volume representation enables a low calculation burden and...

Proteome-wide analyses reveal diverse functions of protein acetylation and succinylation modifications in fast growing stolons of bermudagrass (Cynodon dactylon L.)

Bing Zhang, Zhuoting Chen, Qixue Sun & Jianxiu Liu
Abstract Background Bermudagrass (Cynodon dactylon L.) is an important warm-season turfgrass species with well-developed stolons, which lay the foundation for the fast propagation of bermudagrass plants through asexual clonal growth. However, the growth and development of bermudagrass stolons are still poorly understood at the molecular level. Results In this study, we comprehensively analyzed the acetylation and succinylation modifications of proteins in fast-growing stolons of the bermudagrass cultivar Yangjiang. A total of 4657 lysine acetylation sites...

Evidence-based expert consensus on the management of primary central nervous system lymphoma in China

Tong Chen, Yuanbo Liu, Yang Wang, Qing Chang, Jinsong Wu, Zhiliang Wang, Daoying Geng, Jin-Tai Yu, Yuan Li, Xiao-Qiu Li, Hong Chen, Dongxiao Zhuang, Jianyong Li, Bin Wang, Tao Jiang, Lanting Lyu, Yuqin Song, Xiaoguang Qiu, Wenbin Li, Song Lin, Xinghu Zhang, Dehong Lu, Junqiang Lei, Yaolong Chen & Ying Mao
Abstract Primary central nervous system lymphoma (PCNSL) is a type of central nervous system restricted non-Hodgkin lymphoma, whose histopathological diagnosis is majorly large B cell lymphoma. To provide specific, evidence-based recommendations for medical professionals and to promote more standardized, effective and safe treatment for patients with PCNSL, a panel of experts from the Chinese Neurosurgical Society of the Chinese Medical Association and the Society of Hematological Malignancies of the Chinese Anti-Cancer Association jointly developed an...

Cost-effectiveness analysis of sintilimab plus bevacizumab biosimilar compared with lenvatinib as the first-line treatment of unresectable or metastatic hepatocellular carcinoma

Ting Zhou, Xintian Wang, Yingdan Cao, Lan Yang, Zijing Wang, Aixia Ma & Hongchao Li
Abstract Background In recent years, programmed cell death protein-1 inhibitors, including sintilimab, have significantly prolonged the overall survival time of patients with unresectable or metastatic hepatocellular carcinoma (HCC); however, the cost-effectiveness of sintilimab is unclear. The aim of this study was to assess the cost-effectiveness of sintilimab plus bevacizumab biosimilar compared with lenvatinib as first-line treatment in patients with unresectable or metastatic HCC. Methods A lifetime partitioned survival model was developed to conduct a cost-effectiveness...

Cost-effectiveness analysis of sintilimab plus bevacizumab biosimilar compared with lenvatinib as the first-line treatment of unresectable or metastatic hepatocellular carcinoma

Ting Zhou, Xintian Wang, Yingdan Cao, Lan Yang, Zijing Wang, Aixia Ma & Hongchao Li
Abstract Background In recent years, programmed cell death protein-1 inhibitors, including sintilimab, have significantly prolonged the overall survival time of patients with unresectable or metastatic hepatocellular carcinoma (HCC); however, the cost-effectiveness of sintilimab is unclear. The aim of this study was to assess the cost-effectiveness of sintilimab plus bevacizumab biosimilar compared with lenvatinib as first-line treatment in patients with unresectable or metastatic HCC. Methods A lifetime partitioned survival model was developed to conduct a cost-effectiveness...

LncRNA Airn alleviates diabetic cardiac fibrosis by inhibiting activation of cardiac fibroblasts via a m6A-IMP2-p53 axis

Tingwei Peng, Mingchuan Liu, Lang Hu, Dong Guo, Di Wang, Bingchao Qi, Gaotong Ren, Chenchen Hu, Feng Zhang, Hyung J. Chun, Liqiang Song, Jianqiang Hu & Yan Li
Abstract Background Cardiac fibrosis is a leading cause of cardiac dysfunction in patients with diabetes. However, the underlying mechanisms of cardiac fibrosis remain unclear. This study aimed to investigate the role of the long non-coding RNA (LncRNA) Airn in the pathogenesis of cardiac fibrosis in diabetic cardiomyopathy (DCM) and its underlying mechanism. Methods Diabetes mellitus (DM) was induced in mice by streptozotocin injection. An intramyocardial adeno-associated virus (AAV) was used to manipulate Airn expression. The...

Optimized dose selective HDAC inhibitor tucidinostat overcomes anti-PD-L1 antibody resistance in experimental solid tumors

Pei Zhang, Yang Du, Hua Bai, Zhijie Wang, Jianchun Duan, Xin Wang, Jia Zhong, Rui Wan, Jiachen Xu, Xiran He, Di Wang, Kailun Fei, Ruofei Yu, Jie Tian & Jie Wang
Abstract Background Although immune checkpoint inhibitors (ICIs) have influenced the treatment paradigm for multiple solid tumors, increasing evidence suggests that primary and adaptive resistance may limit the long-term efficacy of ICIs. New therapeutic strategies with other drug combinations are hence warranted to enhance the antitumor efficacy of ICIs. As a novel tumor suppressor, histone deacetylase (HDAC) inhibitor tucidinostat has been successfully confirmed to act against hematological malignancies. However, the underlying mechanisms of action for tucidinostat...

Prediction and prognosis of adverse maternal and foetal/neonatal outcomes in pulmonary hypertension: an observational study and nomogram construction

Yuqin Chen, Dansha Zhou, Mingmei Xiong, Xin Xi, Wenni Zhang, Ruifeng Zhang, Lishi Chen, Qian Jiang, Ning Lai, Xiang Li, Jieer Luo, Xuanyi Li, Weici Feng, Chuhui Gao, Jiyuan Chen, Xin Fu, Wei Hong, Mei Jiang, Kai Yang, Wenju Lu, Yiping Luo, Jun Zhang, Zhe Cheng, Chunli Liu & Jian Wang
Abstract Background Pregnant women with pulmonary hypertension (PH) have higher mortality rates and poor foetal/neonatal outcomes. Tools to assess these risk factors are not well established. Methods Predictive and prognostic nomograms were constructed using data from a “Development” cohort of 420 pregnant patients with PH, recorded between January 2009 and December 2018. Logistic regression analysis established models to predict the probability of adverse maternal and foetal/neonatal events and overall survival by Cox analysis. An independent...

Evolution of the CBL and CIPK gene families in Medicago: genome-wide characterization, pervasive duplication, and expression pattern under salt and drought stress

Xiao-Xia Zhang, Xiao-Long Ren, Xiao-Tong Qi, Zhi-Min Yang, Xiao-Lei Feng, Tian Zhang, Hui-Jie Wang, Peng Liang, Qi-Ying Jiang, Wen-Jun Yang, Yuan Fu, Min Chen, Zhi-Xi Fu & Bo Xu
Abstract Background Calcineurin B-like proteins (CBLs) are ubiquitous Ca2+ sensors that mediate plant responses to various stress and developmental processes by interacting with CBL-interacting protein kinases (CIPKs). CBLs and CIPKs play essential roles in acclimatization of crop plants. However, evolution of these two gene families in the genus Medicago is poorly understood. Results A total of 68 CBL and 135 CIPK genes have been identified in five genomes from Medicago. Among these genomes, the gene...

Targeted Identification of Rice Grain-Associated Gene Allelic Variation Through Mutation Induction, Targeted Sequencing, and Whole Genome Sequencing Combined with a Mixed-Samples Strategy

Kai Sun, Dandan Li, Aoyun Xia, Hua Zhao, Qin Wen, Sisi Jia, Jiafeng Wang, Guili Yang, Danhua Zhou, Cuihong Huang, Hui Wang, Zhiqiang Chen & Tao Guo
Abstract Background The mining of new allelic variation and the induction of new genetic variability are the basis for improving breeding efficiency. Results In this study, in total, 3872 heavy ion-irradiated M2 generation rice seeds and individual leaves were collected. The grain length was between 8 and 10.22 mm. The grain width was between 1.54 and 2.87 mm. The results showed that there was extensive variation in granulotype. The allelic variation in GS3 and GW5...

Trade-off between conservation of biological variation and batch effect removal in deep generative modeling for single-cell transcriptomics

Hui Li, Davis J. McCarthy, Heejung Shim & Susan Wei
Abstract Background Single-cell RNA sequencing (scRNA-seq) technology has contributed significantly to diverse research areas in biology, from cancer to development. Since scRNA-seq data is high-dimensional, a common strategy is to learn low-dimensional latent representations better to understand overall structure in the data. In this work, we build upon scVI, a powerful deep generative model which can learn biologically meaningful latent representations, but which has limited explicit control of batch effects. Rather than prioritizing batch effect...

An emergency department nurse led intervention to facilitate serious illness conversations among seriously ill older adults: A feasibility study

Kei Ouchi, Rachel S. Lee, Susan D. Block, Emily L. Aaronson, Mohammad A. Hasdianda, Wei Wang, Sarah Rossmassler, Ruth Palan Lopez, Donna Berry, Rebecca Sudore, Mara A. Schonberg & James A. Tulsky
Background:Serious illness conversations may lead to care consistent with patients’ goals near the end of life. The emergency department could serve as an important time and location for these conversations.Aim:To determine the feasibility of an emergency department-based, brief motivational interview to stimulate serious illness conversations among seriously ill older adults by trained nurses.Design:A pre-/post-intervention studySettings/participants:In an urban, tertiary care, academic medical center and a community hospital from January 2021 to January 2022, we prospectively enrolled...

Pseudomonas aeruginosa biofilm dispersion by the mouse antimicrobial peptide CRAMP

Yang Zhang, Peng Cheng, Shiyuan Wang, Xiaofen Li, Lianci Peng, Rendong Fang, Jing Xiong, Hui Li, Cui Mei, Jiye Gao, Zhenhui Song, Dengfeng Xu, Lizhi Fu, Chenghong Li, Xueqing Wu, Yuzhang He & Hongwei Chen
Abstract Pseudomonas aeruginosa (P. aeruginosa) is a known bacterium that produces biofilms and causes severe infection. Furthermore, P. aeruginosa biofilms are extremely difficult to eradicate, leading to the development of chronic and antibiotic-resistant infections. Our previous study showed that a cathelicidin-related antimicrobial peptide (CRAMP) inhibits the formation of P. aeruginosa biofilms and markedly reduces the biomass of preformed biofilms, while the mechanism of eradicating bacterial biofilms remains elusive. Therefore, in this study, the potential mechanism...

Opto-electrical and polarization performance of a mesa-structured InGaAs PIN detector integrated with subwavelength aluminum gratings

Junyang Zhang, Zhendong Gao, Miao Wang, Guojian Ding, Chunhua Du, Yang Jiang, Haiqiang Jia, Wenxin Wang, Hong Chen & Zhen Deng
Polarization detection in the short-wave infrared (SWIR) region presents broad applications in clinical medicine, sensing, surface reconstruction, etc. A mesa structure can prevent light crosstalk due to its intrinsic advantage, making it potentially suited to meet the need for manufacturing smaller-sized devices to save cost and shrink volume. In this paper, the mesa-structured InGaAs PIN detector with the spectral response ranging from 800nm to 1700nm and the detectivity of 6.28×1011 cm·Hz1/2/W at 1550 nm and...

Association of Valproic Acid Use With Post-Myocardial Infarction Heart Failure Development: A Meta-Analysis of Two Retrospective Case–Control Studies

Joseph D. English, Shuo Tian, Zhong Wang & Jasmine A. Luzum
Background:Despite advances in treatments, myocardial infarction (MI) remains a significant cause of morbidity and mortality worldwide. Our team has previously shown that valproic acid (VPA) is cardio-protective when administered to rats post-MI. The aim of this study was to investigate the association of VPA use with post-MI heart failure (HF) development in humans.Methods:This study was a random effects meta-analysis of two retrospective case–control studies collected from electronic health record (Michigan Medicine) and claims data (OptumInsight)....

Channel transformer U-Net: an automatically and 1 effective skeleton extraction network for electronic speckle pattern interferometry

Biyuan Li, Zhuo Li, Jun Zhang, Gaowei Sun, Jianqiang Mei & Jun Yan
Fringe skeletons extraction method maybe the most straightforward method for electronic speckle pattern interferometry (ESPI) phase extraction. Due to the ESPI fringe patterns have the characteristics of high noise, low contrast and different fringe shapes, it is very difficult to extract skeletons from ESPI fringe patterns with high accuracy. To deal with this problem, we propose a skeletons extraction method based on deep learning, called channel transformer U-Net, for directly extracting skeletons from the noisy...

Pain Intensity and Trajectory Following Intra-Articular Injection of Mono-Iodoacetate in Experimental Osteoarthritis: A Meta-Analysis of In Vivo Studies

Hongyu Jin, Yuanheng Yang, Guanghua Lei, Chao Zeng, Ke He, Yilun Wang, Caifeng Deng, Jie Wei, Xiaoxiao Li & Hui Li
ObjectiveAlthough most frequently used in experimental osteoarthritis (OA) pain induction, intra-articular mono-iodoacetate (MIA) injection lacks concluded references for dose selection and timing of intervention. Herein, we aimed to compare the pain intensity of rats induced by different doses of MIA and explored the trajectory of pain.DesignPubMed, Embase, and Web of Science were searched up to June 2021 for literatures involving MIA experiments investigating OA pain. Pain intensity was measured based on weightbearing distribution (WBD) and...

Unsupervised Fourier-inspired neural network for real-time and high-fidelity computer-generated holography

Zhenxing Dong, Chao Xu, Yuye Ling, Yan Li & Yikai Su
Learning-based computer-generated holography (CGH) algorithms appear as novel alternatives to generate phase-only holograms. However, most existing learning-based approaches underperform their iterative peers in terms of display quality. Here, we propose an unsupervised Fourier-inspired neural network that could generate phase-only holograms in real time and obtain high-fidelity reconstructed images. Both simulation and experiment were performed to showcase its capability. By explicitly leveraging Fourier transforms within the neural network architecture, global features of the holograms are more...

The Application of Morphogo in the Detection of Megakaryocytes from Bone Marrow Digital Images with Convolutional Neural Networks

Xiaofen Wang, Ying Wang, Chao Qi, Sai Qiao, Suwen Yang, Rongrong Wang, Hong Jin & Jun Zhang
The evaluation of megakaryocytes is an important part of the work up on bone marrow smear examination. It has significance in the differential diagnosis, therapeutic efficacy assessment, and predication of prognosis of many hematologic diseases. The process of manual identification of megakaryocytes are tedious and lack of reproducibility; therefore, a reliable method of automated megakaryocytic identification is urgently needed. Three hundred and thirty-three bone marrow aspirate smears were digitized by Morphogo system. Pathologists annotated megakaryocytes...

The clinical, myopathological, and molecular characteristics of 26 Chinese patients with dysferlinopathy: a high proportion of misdiagnosis and novel variants

Ning Wang, Xu Han, Shengpu Hao, Jingzhe Han, Xiaomeng Zhou, Shuyan Sun, Jin Tang, Yanpeng Lu, Hongran Wu, Shaojuan Ma, Xueqin Song & Guang Ji
Abstract Background Dysferlinopathy is an autosomal recessive muscular dystrophy caused by pathogenic variants in the dysferlin (DYSF) gene. This disease shows heterogeneous clinical phenotypes and genetic characteristics. Methods We reviewed the clinical and pathological data as well as the molecular characteristics of 26 Chinese patients with dysferlinopathy screened by immunohistochemistry staining and pathogenic variants in DYSF genes. Results Among 26 patients with dysferlinopathy, 18 patients (69.2%) presented as Limb-girdle Muscular Dystrophy Type R2 (LGMD R2),...

Registration Year

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Affiliations

  • Institute of Botany
    152
  • Shanghai Jiao Tong University
    119
  • Chinese Academy of Medical Sciences & Peking Union Medical College
    106
  • Zhejiang University
    100
  • Fudan University
    98
  • Nanjing Medical University
    92
  • University of Chinese Academy of Sciences
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  • Huazhong University of Science and Technology
    90
  • Capital Medical University
    77
  • Tongji University
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