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  1. Article ; Online: The Classification of Lumbar Spondylolisthesis X-Ray Images Using Convolutional Neural Networks.

    Chen, Wutong / Junsheng, Du / Chen, Yanzhen / Fan, Yifeng / Liu, Hengzhi / Tan, Chang / Shao, Xuanming / Li, Xinzhi

    Journal of imaging informatics in medicine

    2024  

    Abstract: We aimed to develop and validate a deep convolutional neural network (DCNN) model capable of accurately identifying spondylolysis or spondylolisthesis on lateral or dynamic X-ray images. A total of 2449 lumbar lateral and dynamic X-ray images were ... ...

    Abstract We aimed to develop and validate a deep convolutional neural network (DCNN) model capable of accurately identifying spondylolysis or spondylolisthesis on lateral or dynamic X-ray images. A total of 2449 lumbar lateral and dynamic X-ray images were collected from two tertiary hospitals. These images were categorized into lumbar spondylolysis (LS), degenerative lumbar spondylolisthesis (DLS), and normal lumbar in a proportional manner. Subsequently, the images were randomly divided into training, validation, and test sets to establish a classification recognition network. The model training and validation process utilized the EfficientNetV2-M network. The model's ability to generalize was assessed by conducting a rigorous evaluation on an entirely independent test set and comparing its performance with the diagnoses made by three orthopedists and three radiologists. The evaluation metrics employed to assess the model's performance included accuracy, sensitivity, specificity, and F1 score. Additionally, the weight distribution of the network was visualized using gradient-weighted class activation mapping (Grad-CAM). For the doctor group, accuracy ranged from 87.9 to 90.0% (mean, 89.0%), precision ranged from 87.2 to 90.5% (mean, 89.0%), sensitivity ranged from 87.1 to 91.0% (mean, 89.2%), specificity ranged from 93.7 to 94.7% (mean, 94.3%), and F1 score ranged from 88.2 to 89.9% (mean, 89.1%). The DCNN model had accuracy of 92.0%, precision of 91.9%, sensitivity of 92.2%, specificity of 95.7%, and F1 score of 92.0%. Grad-CAM exhibited concentrations of highlighted areas in the intervertebral foraminal region. We developed a DCNN model that intelligently distinguished spondylolysis or spondylolisthesis on lumbar lateral or lumbar dynamic radiographs.
    Language English
    Publishing date 2024-04-18
    Publishing country Switzerland
    Document type Journal Article
    ISSN 2948-2933
    ISSN (online) 2948-2933
    DOI 10.1007/s10278-024-01115-9
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Fatty acid- and retinol-binding protein 6 does not control worm fatty acid content in Caenorhabditis elegans but might play a role in Haemonchus contortus parasitism.

    Wu, Fei / Wei, Haidian / Chen, Xueqiu / Du, Zhendong / Huang, Yan / Shi, Hengzhi / Yang, Yi / Du, Aifang / Ma, Guangxu

    Parasites & vectors

    2023  Volume 16, Issue 1, Page(s) 230

    Abstract: Background: Nematodes have lost the ability to synthesise necessary lipids de novo and have complementally evolved the capacity to acquire fatty acids and their derivatives from a diet or host animal. Nematode-specific fatty acid- and retinol-binding ... ...

    Abstract Background: Nematodes have lost the ability to synthesise necessary lipids de novo and have complementally evolved the capacity to acquire fatty acids and their derivatives from a diet or host animal. Nematode-specific fatty acid- and retinol-binding protein (FAR) family is one approach that facilitates lipid acquisition, representing an Achilles heel and potential target against roundworms of socioeconomic significance. However, little is known about their detailed functional roles in either free-living or parasitic nematodes.
    Methods: A genome-wide identification and curation were performed to screen the FAR family members of Haemonchus contortus. Their transcription patterns in worms were also analysed to identify the targets. Ligand binding assay and molecular docking were conducted to verify the fatty acid binding activities of FAR proteins of interest. RNA interference (RNAi) and heterologous expression (rescuing) experiments were designed to explore the potential roles of the selected FAR protein in nematodes. Localisation of the protein was shown in sections of paraffin-embedded worms after an immunohistochemistry (IHC) assay.
    Results: Here, an orthologue of far-6 in the model organism Caenorhabditis elegans (Ce-far-6) was functionally characterised in a parasitic nematode, H. contortus (Hc-far-6). It is demonstrated that knockdown of Ce-far-6 gene did not affect worm fat content, reproduction, or lifespan, but decreased worm body length at an early life stage of C. elegans. In particular, the Ce-far-6 mutant associated phenotype was completely rescued by Hc-far-6, suggesting a conserved functional role. Surprisingly, there were distinct tissue expression patterns of FAR-6 in the free-living C. elegans and parasitic H. contortus. High transcriptional level of Hc-far-6 and dominant expression of FAR-6 in the intestine of the parasitic stage of H. contortus link this gene/protein to nematode parasitism.
    Conclusions: These findings substantially enhance our understanding of far genes and the associated lipid biology of this important parasitic nematode at a molecular level, and the approaches established are readily applicable to the studies of far genes in a broad range of parasites.
    MeSH term(s) Animals ; Caenorhabditis elegans/genetics ; Haemonchus/genetics ; Molecular Docking Simulation ; Biological Assay ; Fatty Acids
    Chemical Substances Fatty Acids
    Language English
    Publishing date 2023-07-10
    Publishing country England
    Document type Journal Article
    ZDB-ID 2409480-8
    ISSN 1756-3305 ; 1756-3305
    ISSN (online) 1756-3305
    ISSN 1756-3305
    DOI 10.1186/s13071-023-05836-8
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: The potential effects of DPP‐4 inhibitors on cardiovascular system in COVID‐19 patients

    Du, Hengzhi / Wang, Dao Wen / Chen, Chen

    Journal of Cellular and Molecular Medicine

    2020  Volume 24, Issue 18, Page(s) 10274–10278

    Keywords Molecular Medicine ; Cell Biology ; covid19
    Language English
    Publisher Wiley
    Publishing country us
    Document type Article ; Online
    ZDB-ID 2074559-X
    ISSN 1582-4934 ; 1582-4934 ; 1582-1838
    ISSN (online) 1582-4934
    ISSN 1582-4934 ; 1582-1838
    DOI 10.1111/jcmm.15674
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  4. Article: Haemonchus contortus

    Shi, Hengzhi / Huang, Xiaocui / Chen, Xueqiu / Yang, Yi / Wu, Fei / Yao, Chaoqun / Ma, Guangxu / Du, Aifang

    Frontiers in cell and developmental biology

    2021  Volume 9, Page(s) 753667

    Abstract: Transthyretin (TTR)-like proteins play multi-function roles in nematode and are important component of excretory/secretory product ... ...

    Abstract Transthyretin (TTR)-like proteins play multi-function roles in nematode and are important component of excretory/secretory product in
    Language English
    Publishing date 2021-11-03
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2737824-X
    ISSN 2296-634X
    ISSN 2296-634X
    DOI 10.3389/fcell.2021.753667
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: The potential effects of DPP-4 inhibitors on cardiovascular system in COVID-19 patients.

    Du, Hengzhi / Wang, Dao Wen / Chen, Chen

    Journal of cellular and molecular medicine

    2020  Volume 24, Issue 18, Page(s) 10274–10278

    Abstract: With the outbreak of a new coronavirus, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the public healthcare systems are facing great challenges. Coronavirus disease 2019 (COVID-19) could develop into severe pneumonia, acute respiratory ... ...

    Abstract With the outbreak of a new coronavirus, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the public healthcare systems are facing great challenges. Coronavirus disease 2019 (COVID-19) could develop into severe pneumonia, acute respiratory distress syndrome and multi-organ failure. Remarkably, in addition to the respiratory symptoms, some COVID-19 patients also suffer from cardiovascular injuries. Dipeptidyl peptidase-4 (DPP-4) is a ubiquitous glycoprotein which could act both as a cell membrane-bound protein and a soluble enzymatic protein after cleavage and release into the circulation. Despite angiotensin-converting enzyme 2 (ACE2), the recently recognized receptor of SARS-CoV and SARS-CoV-2, which facilitated their entries into the host, DPP-4 has been identified as the receptor of middle east respiratory syndrome coronavirus (MERS-CoV). In the current review, we discussed the potential roles of DPP-4 in COVID-19 and the possible effects of DPP-4 inhibitors on cardiovascular system in patients with COVID-19.
    MeSH term(s) COVID-19/drug therapy ; Cardiovascular Diseases/enzymology ; Cardiovascular Diseases/virology ; Dipeptidyl Peptidase 4/metabolism ; Dipeptidyl-Peptidase IV Inhibitors/pharmacology ; Host-Pathogen Interactions ; Humans ; SARS-CoV-2/physiology ; Virus Internalization
    Chemical Substances Dipeptidyl-Peptidase IV Inhibitors ; DPP4 protein, human (EC 3.4.14.5) ; Dipeptidyl Peptidase 4 (EC 3.4.14.5)
    Keywords covid19
    Language English
    Publishing date 2020-07-26
    Publishing country England
    Document type Journal Article ; Research Support, Non-U.S. Gov't ; Review
    ZDB-ID 2074559-X
    ISSN 1582-4934 ; 1582-4934 ; 1582-1838
    ISSN (online) 1582-4934
    ISSN 1582-4934 ; 1582-1838
    DOI 10.1111/jcmm.15674
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Book ; Online: Zero-Shot Classification by Logical Reasoning on Natural Language Explanations

    Han, Chi / Pei, Hengzhi / Du, Xinya / Ji, Heng

    2022  

    Abstract: Humans can classify data of an unseen category by reasoning on its language explanations. This ability is owing to the compositional nature of language: we can combine previously seen attributes to describe the new category. For example, we might ... ...

    Abstract Humans can classify data of an unseen category by reasoning on its language explanations. This ability is owing to the compositional nature of language: we can combine previously seen attributes to describe the new category. For example, we might describe a sage thrasher as "it has a slim straight relatively short bill, yellow eyes and a long tail", so that others can use their knowledge of attributes "slim straight relatively short bill", "yellow eyes" and "long tail" to recognize a sage thrasher. Inspired by this observation, in this work we tackle zero-shot classification task by logically parsing and reasoning on natural language expla-nations. To this end, we propose the framework CLORE (Classification by LOgical Reasoning on Explanations). While previous methods usually regard textual information as implicit features, CLORE parses explanations into logical structures and then explicitly reasons along thess structures on the input to produce a classification score. Experimental results on explanation-based zero-shot classification benchmarks demonstrate that CLORE is superior to baselines, which we further show mainly comes from higher scores on tasks requiring more logical reasoning. We also demonstrate that our framework can be extended to zero-shot classification on visual modality. Alongside classification decisions, CLORE can provide the logical parsing and reasoning process as a clear form of rationale. Through empirical analysis we demonstrate that CLORE is also less affected by linguistic biases than baselines.

    Comment: 9 pages, 8 figures. Accepted in the 61st Annual Meeting of the Association for Computational Linguistics (ACL 2023) Findings
    Keywords Computer Science - Computation and Language
    Subject code 160
    Publishing date 2022-11-06
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  7. Article: Roles of MicroRNAs in Glucose and Lipid Metabolism in the Heart.

    Du, Hengzhi / Zhao, Yanru / Li, Huaping / Wang, Dao Wen / Chen, Chen

    Frontiers in cardiovascular medicine

    2021  Volume 8, Page(s) 716213

    Abstract: MicroRNAs (miRNAs) are small non-coding RNAs that participate in heart development and pathological processes mainly by silencing gene expression. Overwhelming evidence has suggested that miRNAs were involved in various cardiovascular pathological ... ...

    Abstract MicroRNAs (miRNAs) are small non-coding RNAs that participate in heart development and pathological processes mainly by silencing gene expression. Overwhelming evidence has suggested that miRNAs were involved in various cardiovascular pathological processes, including arrhythmias, ischemia-reperfusion injuries, dysregulation of angiogenesis, mitochondrial abnormalities, fibrosis, and maladaptive remodeling. Various miRNAs could regulate myocardial contractility, vascular proliferation, and mitochondrial function. Meanwhile, it was reported that miRNAs could manipulate nutrition metabolism, especially glucose and lipid metabolism, by regulating insulin signaling pathways, energy substrate transport/metabolism. Recently, increasing studies suggested that the abnormal glucose and lipid metabolism were closely associated with a broad spectrum of cardiovascular diseases (CVDs). Therefore, maintaining glucose and lipid metabolism homeostasis in the heart might be beneficial to CVD patients. In this review, we summarized the present knowledge of the functions of miRNAs in regulating cardiac glucose and lipid metabolism, as well as highlighted the miRNA-based therapies targeting cardiac glucose and lipid metabolism.
    Language English
    Publishing date 2021-07-22
    Publishing country Switzerland
    Document type Journal Article ; Review
    ZDB-ID 2781496-8
    ISSN 2297-055X
    ISSN 2297-055X
    DOI 10.3389/fcvm.2021.716213
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: The role of miR-320 in glucose and lipid metabolism disorder-associated diseases.

    Du, Hengzhi / Zhao, Yanru / Yin, Zhongwei / Wang, Dao Wen / Chen, Chen

    International journal of biological sciences

    2021  Volume 17, Issue 2, Page(s) 402–416

    Abstract: Glucose and lipids are important nutrients that provide the majority of energy for each organ to maintain homeostasis of the body. With the continuous improvement in living standards, the incidence of metabolic disorder-associated diseases, such as ... ...

    Abstract Glucose and lipids are important nutrients that provide the majority of energy for each organ to maintain homeostasis of the body. With the continuous improvement in living standards, the incidence of metabolic disorder-associated diseases, such as diabetes, hyperlipidemia, and atherosclerosis, is increasing worldwide. Among them, diabetes, which could be induced by both glucose and lipid metabolic disorders, is one of the five diseases with the highest incidence and mortality worldwide. However, the detailed molecular mechanisms underlying glucose and lipid metabolism disorders and target-organ damage are still not fully defined. MicroRNAs (miRNAs) are small, non-coding, single-stranded RNAs, which usually affect their target mRNAs in the cytoplasm by post-transcriptional regulation. Previously, we have found that miR-320 contributed to glucose and lipid metabolism via different signaling pathways. Most importantly, we identified that nuclear miR-320 mediated diabetes-induced cardiac dysfunction by activating the transcription of fatty acid metabolic genes to cause lipotoxicity in the heart. Here, we reviewed the roles of miR-320 in glucose and lipid metabolism and target-organ damage.
    MeSH term(s) Biomarkers/metabolism ; Glucose Metabolism Disorders/genetics ; Humans ; Lipid Metabolism Disorders/genetics ; MicroRNAs/physiology
    Chemical Substances Biomarkers ; MIRN3200 microRNA, human ; MicroRNAs
    Language English
    Publishing date 2021-01-01
    Publishing country Australia
    Document type Journal Article ; Research Support, Non-U.S. Gov't ; Review
    ZDB-ID 2179208-2
    ISSN 1449-2288 ; 1449-2288
    ISSN (online) 1449-2288
    ISSN 1449-2288
    DOI 10.7150/ijbs.53419
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article: The potential effects of DPP-4 inhibitors on cardiovascular system in COVID-19 patients

    Du, Hengzhi / Wang, Dao Wen / Chen, Chen

    J. cell. mol. med

    Abstract: With the outbreak of a new coronavirus, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the public healthcare systems are facing great challenges. Coronavirus disease 2019 (COVID-19) could develop into severe pneumonia, acute respiratory ... ...

    Abstract With the outbreak of a new coronavirus, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the public healthcare systems are facing great challenges. Coronavirus disease 2019 (COVID-19) could develop into severe pneumonia, acute respiratory distress syndrome and multi-organ failure. Remarkably, in addition to the respiratory symptoms, some COVID-19 patients also suffer from cardiovascular injuries. Dipeptidyl peptidase-4 (DPP-4) is a ubiquitous glycoprotein which could act both as a cell membrane-bound protein and a soluble enzymatic protein after cleavage and release into the circulation. Despite angiotensin-converting enzyme 2 (ACE2), the recently recognized receptor of SARS-CoV and SARS-CoV-2, which facilitated their entries into the host, DPP-4 has been identified as the receptor of middle east respiratory syndrome coronavirus (MERS-CoV). In the current review, we discussed the potential roles of DPP-4 in COVID-19 and the possible effects of DPP-4 inhibitors on cardiovascular system in patients with COVID-19.
    Keywords covid19
    Publisher WHO
    Document type Article
    Note WHO #Covidence: #670250
    Database COVID19

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  10. Article ; Online: Development of SYBR Green real-time PCR for diagnosis of fasciolosis in sheep.

    Shi, Hengzhi / Li, Minwei / Huang, Xiaocui / Yao, Chaoqun / Chen, Xueqiu / Du, Aifang / Yang, Yi

    Veterinary parasitology

    2020  Volume 283, Page(s) 109193

    Abstract: Fasciolosis is commonly diagnosed by microscopic detection of egg following sedimentation. However, this technique is time-consuming when a large number of samples must be processed and requires sufficient experience. Quantitative real-time PCR based on ... ...

    Abstract Fasciolosis is commonly diagnosed by microscopic detection of egg following sedimentation. However, this technique is time-consuming when a large number of samples must be processed and requires sufficient experience. Quantitative real-time PCR based on the detection of liver fluke ribosomal DNA in feces has been introduced, which is more accurate and liable to reflect the presence of flukes in hosts. This study aimed to develop an efficient molecular detection method in laboratory diagnosis. A cross-sectional study of 250 sheep was performed to detect Fasciola hepatica infections using gold standard microscopic detection, conventional PCR and real-time PCR. Both conventional and real-time PCRs targeted the internal transcribed spacer 2 (ITS-2). A composite reference standard(CRS) was used to analyze the sensitivity and specificity of three methods. Furthermore, the minimal amount of plasmid DNA detected by the real-time PCR was 1.67 pg plasmid DNA (equivalent to 1.1 × 10
    MeSH term(s) Animals ; Benzothiazoles/chemistry ; Diagnostic Tests, Routine/veterinary ; Diamines/chemistry ; Fascioliasis/diagnosis ; Fascioliasis/parasitology ; Fascioliasis/veterinary ; Female ; Male ; Quinolines/chemistry ; Real-Time Polymerase Chain Reaction/instrumentation ; Real-Time Polymerase Chain Reaction/veterinary ; Sheep ; Sheep Diseases/diagnosis ; Sheep Diseases/parasitology ; Sheep, Domestic
    Chemical Substances Benzothiazoles ; Diamines ; Quinolines ; SYBR Green I (163795-75-3)
    Language English
    Publishing date 2020-07-23
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 196831-2
    ISSN 1873-2550 ; 0304-4017
    ISSN (online) 1873-2550
    ISSN 0304-4017
    DOI 10.1016/j.vetpar.2020.109193
    Database MEDical Literature Analysis and Retrieval System OnLINE

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