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  1. Article ; Online: Efficacy of propranolol in 55 cases of infantile periocular hemangioma.

    Song, Dan / Li, Yixiao / Wang, Liang / Liu, Guohua

    Asian journal of surgery

    2024  

    Language English
    Publishing date 2024-04-09
    Publishing country Netherlands
    Document type Letter
    ZDB-ID 1068461-x
    ISSN 0219-3108 ; 1015-9584
    ISSN (online) 0219-3108
    ISSN 1015-9584
    DOI 10.1016/j.asjsur.2024.03.169
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Liquid Biopsy, a Potential New Detection Method in Heart Allograft Rejection.

    Li, Chenghao / Wang, Guohua

    Methods in molecular biology (Clifton, N.J.)

    2023  Volume 2695, Page(s) 309–315

    Abstract: Allografts rejection remains the most important reason causing allograft dysfunction in heart transplantation recipients. Currently, the golden standard for detecting graft rejection is endomyocardial biopsy (EMB). As a new noninvasive technique, liquid ... ...

    Abstract Allografts rejection remains the most important reason causing allograft dysfunction in heart transplantation recipients. Currently, the golden standard for detecting graft rejection is endomyocardial biopsy (EMB). As a new noninvasive technique, liquid biopsy emerges along with the great developments of droplet-based digital PCR and the various optimizations of next-generation sequencing technologies, which is also cheaper than EMB. This review introduces several types of liquid biopsy and its application in heart transplantation.
    MeSH term(s) Heart Transplantation/adverse effects ; Biopsy ; Liquid Biopsy ; Transplantation, Homologous ; Graft Rejection/diagnosis ; Graft Rejection/pathology ; Allografts ; Myocardium/pathology
    Language English
    Publishing date 2023-07-14
    Publishing country United States
    Document type Review ; Journal Article
    ISSN 1940-6029
    ISSN (online) 1940-6029
    DOI 10.1007/978-1-0716-3346-5_21
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Dynamic attitude measurement taken by monocular line scan vision.

    Wang, Qing / Zhang, Guohua

    Applied optics

    2023  Volume 62, Issue 5, Page(s) 1130–1135

    Abstract: Attitude measurements are important parameters for condition monitoring of precision machines. We develop an angle measurement method based on monocular line scan vision to dynamically measure the attitude of shafts. The proposed measurement system, ... ...

    Abstract Attitude measurements are important parameters for condition monitoring of precision machines. We develop an angle measurement method based on monocular line scan vision to dynamically measure the attitude of shafts. The proposed measurement system, which consists of a single line scan camera, a parallel laser light source, and a triangular mirror, does not require fixation of a sensor on the shaft. The measurement system uses the line scan camera to capture the projection of the shaft. The light source is diffused by a cylindrical lens to yield parallel directional light. Then the parallel directional light is reflected by a fixed-angle mirror and projected onto the projection plane. The captured image can be considered a discrete time sequence. The attitude measurement principle based on linear monocular vision is derived. A double light-spot centroid algorithm is developed to obtain the centroid coordinates of the projection points. The proposed method is investigated by a simulation and experiment. The proposed method can also monitor the vibration of the shaft. The experimental results prove that the proposed method is effective and highly accurate.
    Language English
    Publishing date 2023-02-13
    Publishing country United States
    Document type Journal Article
    ISSN 1539-4522
    ISSN (online) 1539-4522
    DOI 10.1364/AO.474983
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article: A new cryptic species in the

    Du, Lingyun / Wang, Jian / Liu, Shuo / Yu, Guohua

    ZooKeys

    2022  Volume 1099, Page(s) 123–138

    Abstract: We describe a new species ... ...

    Abstract We describe a new species of
    Language English
    Publishing date 2022-05-03
    Publishing country Bulgaria
    Document type Journal Article
    ZDB-ID 2445640-8
    ISSN 1313-2970 ; 1313-2989
    ISSN (online) 1313-2970
    ISSN 1313-2989
    DOI 10.3897/zookeys.1099.80390
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Drug Discovery in Canine Pyometra Disease Identified by Text Mining and Microarray Data Analysis.

    Wang, Xin / Yu, Guohua

    BioMed research international

    2023  Volume 2023, Page(s) 7839568

    Abstract: Canine pyometra, which is accompanied by bacterial contamination of the dog uterus, is defined as a complex disease associated with the activation of several systems, including the immune system. This study uses text mining and microarray data analysis ... ...

    Abstract Canine pyometra, which is accompanied by bacterial contamination of the dog uterus, is defined as a complex disease associated with the activation of several systems, including the immune system. This study uses text mining and microarray data analysis methods to discover some existing targeted gene drugs and expand potential new drug indications. Text mining ("canine pyometra") and microarray data analysis (GSE99877) were used to obtain a common set of genes. These genes and protein-protein interaction (PPI) networks were analyzed using Gene Ontology and the Kyoto Encyclopedia of Genes and Genomes. Then, the important genes clustered in the PPI network were selected for gene-drug interaction analysis to provide evidence for potential drug discovery. Through text mining and data analysis, we obtained 17,544 text mining genes (TMGs) and 399 differentially expressed genes (DEGs), respectively. There were 256 repeat genes between TMGs and DEGs, including 70 upregulated genes and 186 downregulated genes. Thirty-seven genes clustered in three significant gene modules. Eight of the 37 genes can target 23 existing drugs. In conclusion, the discovery of 8 immune response-related genes (
    MeSH term(s) Humans ; Female ; Animals ; Dogs ; Gene Expression Profiling/methods ; Pyometra ; Microarray Analysis ; Gene Regulatory Networks ; Protein Interaction Maps/genetics ; Data Mining ; Computational Biology/methods ; Gene Ontology
    Language English
    Publishing date 2023-04-17
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2698540-8
    ISSN 2314-6141 ; 2314-6133
    ISSN (online) 2314-6141
    ISSN 2314-6133
    DOI 10.1155/2023/7839568
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article: Coronary Artery Fistula and Severe Coronary Artery Stenosis: A Case Report and an Insight for Potential Pathogenesis of Coronary Artery Atherosclerosis.

    Liu, Jinchun / Yu, Zhijun / Wang, Guohua

    International medical case reports journal

    2024  Volume 17, Page(s) 227–233

    Abstract: Coronary artery fistulae (CAF) are a rare anomaly characterized by abnormal connections between a coronary artery and a cardiac chamber or a great vessel, with most patients remaining asymptomatic. Despite being predisposed to severe complications like ... ...

    Abstract Coronary artery fistulae (CAF) are a rare anomaly characterized by abnormal connections between a coronary artery and a cardiac chamber or a great vessel, with most patients remaining asymptomatic. Despite being predisposed to severe complications like heart failure, patients with CAF infrequently experience severe stenosis in the coronary artery. This study delineates a case involving a 46-year-old male presenting with a fistula bridging the right coronary artery (RCA) and right atrium (RA), manifesting a pronounced 99% stenosis at the right extremity of the coronary artery proximal to the fistula. Concurrently, the individual exhibits six conventional risk factors: age over 40, male gender, hypertension, diabetes, smoking, and hypertriglyceridemia. Following pharmaceutical intervention, the patient was discharged and subjected to extended follow-up. This case highlights the dual processes of "accelerating damage" and "retarding renewal" in the progression of atherosclerosis. Factors such as shear stress, smoking, and hypertension are posited to expedite endothelial cell damage, while aging and diabetes may impede the renewal and repair of these cells. Together with the concept of secondary atherosclerotic plaque healing, this case prompts the introduction of a "Double Endothelial Healings" hypothesis, proposing a potential pathogenetic mechanism for coronary artery atherosclerosis.
    Language English
    Publishing date 2024-03-26
    Publishing country New Zealand
    Document type Case Reports
    ZDB-ID 2495077-4
    ISSN 1179-142X
    ISSN 1179-142X
    DOI 10.2147/IMCRJ.S442878
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article: Tumor regression and safe distance of distal margin after neoadjuvant therapy for rectal cancer.

    Yu, Guilin / Chi, Huanyu / Zhao, Guohua / Wang, Yue

    Frontiers in oncology

    2024  Volume 14, Page(s) 1375334

    Abstract: Neoadjuvant therapy has been widely employed in the treatment of rectal cancer, demonstrating its utility in reducing tumor volume, downstaging tumors, and improving patient prognosis. It has become the standard preoperative treatment modality for ... ...

    Abstract Neoadjuvant therapy has been widely employed in the treatment of rectal cancer, demonstrating its utility in reducing tumor volume, downstaging tumors, and improving patient prognosis. It has become the standard preoperative treatment modality for locally advanced rectal cancer. However, the efficacy of neoadjuvant therapy varies significantly among patients, with notable differences in tumor regression outcomes. In some cases, patients exhibit substantial tumor regression, even achieving pathological complete response. The assessment of tumor regression outcomes holds crucial significance for determining surgical approaches and establishing safe margins. Nonetheless, current research on tumor regression patterns remains limited, and there is considerable controversy surrounding the determination of a safe margin after neoadjuvant therapy. In light of these factors, this study aims to summarize the primary patterns of tumor regression observed following neoadjuvant therapy for rectal cancer, categorizing them into three types: tumor shrinkage, tumor fragmentation, and mucinous lake formation. Furthermore, a comparison will be made between gross and microscopic tumor regression, highlighting the asynchronous nature of regression in the two contexts. Additionally, this study will analyze the safety of non-surgical treatment in patients who achieve complete clinical response, elucidating the necessity of surgical intervention. Lastly, the study will investigate the optimal range for safe surgical resection margins and explore the concept of a safe margin distance post-neoadjuvant therapy.
    Language English
    Publishing date 2024-04-04
    Publishing country Switzerland
    Document type Journal Article ; Review
    ZDB-ID 2649216-7
    ISSN 2234-943X
    ISSN 2234-943X
    DOI 10.3389/fonc.2024.1375334
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: Investment analysis of the private firm under different financial arrangements in infrastructure projects.

    Ding, Qianxing / Huang, Shanshan / Fu, Guohua / Wang, Bing

    PloS one

    2024  Volume 19, Issue 2, Page(s) e0287418

    Abstract: This study investigates the impact of various financial arrangements on the investment behavior of the private firm in PPP (Public-Private Partnership) projects. The results manifest that: first, the private firm will invest in the project earlier under ... ...

    Abstract This study investigates the impact of various financial arrangements on the investment behavior of the private firm in PPP (Public-Private Partnership) projects. The results manifest that: first, the private firm will invest in the project earlier under long-term debt financing than under short-term debt financing or all equity financing; second, the investment boundary of the private sector decreasing with the probability of obtaining long-term debt financing under short-term debt financing, while increasing with the probability of obtaining long-term debt financing under long-term debt financing; third, the optimal debt level under short-term debt financing displays a U-shaped relationship with the refinancing risk probability; fourth, under short-term debt financing, the difference in the optimal capital structure between projects with different volatility of cash flow is larger when the refinancing risk probability is lower; and fifth, the private firm may exit the project earlier under short-term debt financing than under long-term debt financing. These results can help us to understand the investment behavior of the private firm under different financial arrangements.
    MeSH term(s) Investments ; Public-Private Sector Partnerships ; Probability ; Financial Statements
    Language English
    Publishing date 2024-02-16
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2267670-3
    ISSN 1932-6203 ; 1932-6203
    ISSN (online) 1932-6203
    ISSN 1932-6203
    DOI 10.1371/journal.pone.0287418
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: GSL-DTI: Graph structure learning network for Drug-Target interaction prediction.

    E, Zixuan / Qiao, Guanyu / Wang, Guohua / Li, Yang

    Methods (San Diego, Calif.)

    2024  Volume 223, Page(s) 136–145

    Abstract: Motivation: Drug-target interaction prediction is an important area of research to predict whether there is an interaction between a drug molecule and its target protein. It plays a critical role in drug discovery and development by facilitating the ... ...

    Abstract Motivation: Drug-target interaction prediction is an important area of research to predict whether there is an interaction between a drug molecule and its target protein. It plays a critical role in drug discovery and development by facilitating the identification of potential drug candidates and expediting the overall process. Given the time-consuming, expensive, and high-risk nature of traditional drug discovery methods, the prediction of drug-target interactions has become an indispensable tool. Using machine learning and deep learning to tackle this class of problems has become a mainstream approach, and graph-based models have recently received much attention in this field. However, many current graph-based Drug-Target Interaction (DTI) prediction methods rely on manually defined rules to construct the Drug-Protein Pair (DPP) network during the DPP representation learning process. However, these methods fail to capture the true underlying relationships between drug molecules and target proteins.
    Results: We propose GSL-DTI, an automatic graph structure learning model used for predicting drug-target interactions (DTIs). Initially, we integrate large-scale heterogeneous networks using a graph convolution network based on meta-paths, effectively learning the representations of drugs and target proteins. Subsequently, we construct drug-protein pairs based on these representations. In contrast to previous studies that construct DPP networks based on manual rules, our method introduces an automatic graph structure learning approach. This approach utilizes a filter gate on the affinity scores of DPPs and relies on the classification loss of downstream tasks to guide the learning of the underlying DPP network structure. Based on the learned DPP network, we transform the prediction of drug-target interactions into a node classification problem. The comprehensive experiments conducted on three public datasets have shown the superiority of GSL-DTI in the tasks of DTI prediction. Additionally, GSL-DTI provides a fresh perspective for advancing research in graph structure learning for DTI prediction.
    MeSH term(s) Drug Discovery ; Drug Delivery Systems ; Machine Learning
    Language English
    Publishing date 2024-02-14
    Publishing country United States
    Document type Journal Article
    ZDB-ID 1066584-5
    ISSN 1095-9130 ; 1046-2023
    ISSN (online) 1095-9130
    ISSN 1046-2023
    DOI 10.1016/j.ymeth.2024.01.018
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: Genome-wide identification of the CYP82 gene family in cucumber and functional characterization of

    Wang, Hongyu / Li, Pengfei / Wang, Yu / Chi, Chunyu / Ding, Guohua

    PeerJ

    2024  Volume 12, Page(s) e17162

    Abstract: The cytochrome P450 (CYP450) gene family plays a vital role in basic metabolism, hormone signaling, and enhances plant resistance to stress. Among them, the CYP82 gene family is primarily found in dicots, and they are typically activated in response to ... ...

    Abstract The cytochrome P450 (CYP450) gene family plays a vital role in basic metabolism, hormone signaling, and enhances plant resistance to stress. Among them, the CYP82 gene family is primarily found in dicots, and they are typically activated in response to various specific environmental stresses. Nevertheless, their roles remain considerably obscure, particularly within the context of cucumber. In the present study, 12 CYP82 subfamily genes were identified in the cucumber genome. Bioinformatics analysis included gene structure, conserved motif, cis-acting promoter element, and so on. Subcellular localization predicted that all CYP82 genes were located in the endoplasmic reticulum. The results of cis element analysis showed that CYP82s may significantly affect the response to stress, hormones, and light exposure. Expression patterns of the CYP82 genes were characterized by mining available RNA-seq data followed by qRT-PCR (quantitative real-time polymerase chain reaction) analysis. Members of CYP82 genes display specific expression profiles in different tissues, and in response to PM and abiotic stresses in this study, the role of
    MeSH term(s) Cucumis sativus/genetics ; Disease Resistance/genetics ; Genome, Plant/genetics ; Erysiphe/genetics ; Computational Biology
    Language English
    Publishing date 2024-03-28
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2703241-3
    ISSN 2167-8359 ; 2167-8359
    ISSN (online) 2167-8359
    ISSN 2167-8359
    DOI 10.7717/peerj.17162
    Database MEDical Literature Analysis and Retrieval System OnLINE

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