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Article: [Advances on aryl hydrocarbon receptor in intestinal function and diseases].

Na, R N / Duan, X Y / Chen, P

2024 Volume 63, Issue 3, Page(s) 296–302

MeSH term(s)	Humans ; Receptors, Aryl Hydrocarbon ; Defecation
Chemical Substances	Receptors, Aryl Hydrocarbon
Language	Chinese
Publishing date	2024-03-06
Publishing country	China
Document type	Journal Article
ZDB-ID	754223-9
ISSN	0578-1426
ISSN	0578-1426
DOI	10.3760/cma.j.cn112138-20231104-00295
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Article ; Online: Cullin-3 proteins be a novel biomarkers and therapeutic targets for hyperchloremia induced by oral poisoning.

Duan, Hui / Li, Na / Qi, Jia / Li, Xi / Zhou, Kun

Scientific reports

2024 Volume 14, Issue 1, Page(s) 8597

Abstract: Oral poisoning can trigger diverse physiological reactions, determined by the toxic substance involved. One such consequence is hyperchloremia, characterized by an elevated level of chloride in the blood and leads to kidney damage and impairing chloride ... ...

Abstract	Oral poisoning can trigger diverse physiological reactions, determined by the toxic substance involved. One such consequence is hyperchloremia, characterized by an elevated level of chloride in the blood and leads to kidney damage and impairing chloride ion regulation. Here, we conducted a comprehensive genome-wide analysis to investigate genes or proteins linked to hyperchloremia. Our analysis included functional enrichment, protein-protein interactions, gene expression, exploration of molecular pathways, and the identification of potential shared genetic factors contributing to the development of hyperchloremia. Functional enrichment analysis revealed that oral poisoning owing hyperchloremia is associated with 4 proteins e.g. Kelch-like protein 3, Serine/threonine-protein kinase WNK4, Serine/threonine-protein kinase WNK1 and Cullin-3. The protein-protein interaction network revealed Cullin-3 as an exceptional protein, displaying a maximum connection of 18 nodes. Insufficient data from transcriptomic analysis indicates that there are lack of information having direct associations between these proteins and human-related functions to oral poisoning, hyperchloremia, or metabolic acidosis. The metabolic pathway of Cullin-3 protein revealed that the derivative is Sulfonamide which play role in, increasing urine output, and metabolic acidosis resulted in hypertension. Based on molecular docking results analysis it found that Cullin-3 proteins has the lowest binding energies score and being suitable proteins. Moreover, no major variations were observed in unbound Cullin-3 and all three peptide bound complexes shows that all systems remain compact during 50 ns simulations. The results of our study revealed Cullin-3 proteins be a strong foundation for the development of potential drug targets or biomarker for future studies.
MeSH term(s)	Humans ; Acidosis ; Biomarkers ; Chlorides/adverse effects ; Chlorides/toxicity ; Cullin Proteins/metabolism ; Halogens ; Molecular Docking Simulation ; Protein Serine-Threonine Kinases/metabolism ; WNK Lysine-Deficient Protein Kinase 1/metabolism
Chemical Substances	Biomarkers ; Chlorides ; Cullin Proteins ; Halogens ; CUL3 protein, human ; Protein Serine-Threonine Kinases (EC 2.7.11.1) ; WNK1 protein, human (EC 2.7.11.1) ; WNK4 protein, human (EC 2.7.11.1) ; WNK Lysine-Deficient Protein Kinase 1 (EC 2.7.11.1)
Language	English
Publishing date	2024-04-13
Publishing country	England
Document type	Journal Article
ZDB-ID	2615211-3
ISSN	2045-2322 ; 2045-2322
ISSN (online)	2045-2322
ISSN	2045-2322
DOI	10.1038/s41598-024-59264-4
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Article ; Online: DCSAU-Net: A deeper and more compact split-attention U-Net for medical image segmentation.

Xu, Qing / Ma, Zhicheng / He, Na / Duan, Wenting

Computers in biology and medicine

2023 Volume 154, Page(s) 106626

Abstract: Deep learning architecture with convolutional neural network achieves outstanding success in the field of computer vision. Where U-Net has made a great breakthrough in biomedical image segmentation and has been widely applied in a wide range of practical ...

Abstract	Deep learning architecture with convolutional neural network achieves outstanding success in the field of computer vision. Where U-Net has made a great breakthrough in biomedical image segmentation and has been widely applied in a wide range of practical scenarios. However, the equal design of every downsampling layer in the encoder part and simply stacked convolutions do not allow U-Net to extract sufficient information of features from different depths. The increasing complexity of medical images brings new challenges to the existing methods. In this paper, we propose a deeper and more compact split-attention u-shape network, which efficiently utilises low-level and high-level semantic information based on two frameworks: primary feature conservation and compact split-attention block. We evaluate the proposed model on CVC-ClinicDB, 2018 Data Science Bowl, ISIC-2018, SegPC-2021 and BraTS-2021 datasets. As a result, our proposed model displays better performance than other state-of-the-art methods in terms of the mean intersection over union and dice coefficient. More significantly, the proposed model demonstrates excellent segmentation performance on challenging images. The code for our work and more technical details can be found at https://github.com/xq141839/DCSAU-Net.
MeSH term(s)	Neural Networks, Computer ; Semantics ; Image Processing, Computer-Assisted
Language	English
Publishing date	2023-02-01
Publishing country	United States
Document type	Journal Article
ZDB-ID	127557-4
ISSN	1879-0534 ; 0010-4825
ISSN (online)	1879-0534
ISSN	0010-4825
DOI	10.1016/j.compbiomed.2023.106626
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Article ; Online: Clinical value of combination detection of direct antiglobulin test and serum albumin globulin ratio in severe hyperbilirubinemia caused by ABO hemolytic disease of the newborn.

Duan, Ling / Chen, Ping / Tu, Na / Hu, Hongbing

The journal of maternal-fetal & neonatal medicine : the official journal of the European Association of Perinatal Medicine, the Federation of Asia and Oceania Perinatal Societies, the International Society of Perinatal Obstetricians

2023 Volume 36, Issue 2, Page(s) 2228965

Abstract: ... ...

Abstract	Background
MeSH term(s)	Female ; Humans ; Infant, Newborn ; ABO Blood-Group System ; Coombs Test/methods ; Erythroblastosis, Fetal/diagnosis ; Erythroblastosis, Fetal/therapy ; Globulins ; Hyperbilirubinemia/diagnosis ; Serum Albumin/analysis
Chemical Substances	ABO Blood-Group System ; Globulins ; Serum Albumin
Language	English
Publishing date	2023-06-25
Publishing country	England
Document type	Journal Article
ZDB-ID	2077261-0
ISSN	1476-4954 ; 1057-0802 ; 1476-7058
ISSN (online)	1476-4954
ISSN	1057-0802 ; 1476-7058
DOI	10.1080/14767058.2023.2228965
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Article: [Effects of family dignity intervention on male infertility patients and their spouses].

Xue, Wei / Li, Zheng-Hong / Wang, Li-Ya / DU, Na-Na / Li, Duan / Yu, Ze-Wei

Zhonghua nan ke xue = National journal of andrology

2024 Volume 29, Issue 3, Page(s) 249–254

Abstract: Objective: To investigate the effects of family dignity intervention (FDI) on anxiety, depression, hope level and quality of life (QOL) of male infertility patients and their spouses.: Methods: Using quasi-experimental design, we selected male ... ...

Abstract	Objective: To investigate the effects of family dignity intervention (FDI) on anxiety, depression, hope level and quality of life (QOL) of male infertility patients and their spouses. Methods: Using quasi-experimental design, we selected male infertility patients and their spouses undergoing human-assisted reproductive technology (ART) in our Center of Reproductive Medicine from June to December 2022 and divided them into an intervention group (38 couples) and a control group (40 couples). The former underwent a four-stage FDI, including ovulation promotion cycle assessment, family sharing, pre-transplantation interview and post-transplantation follow-up, while the latter received routine nursing. Using Hospital Anxiety and Depression Scale, Herth Hope Index and Fertility Quality of Life Scale, we evaluated the effects of FDI before and after transplantation. Results: After FDI, the anxiety and depression scores were significantly lower (P < 0.05) and the total scores on the hope level and all other dimensions remarkably higher in the intervention group than in the control (P < 0.05). The self-confidence of the couples in the intervention groups in ART treatment was markedly increased in comparison with that of the controls, and their scores on physical and mental health were significantly higher than those of the latter (P < 0.05). Conclusion: FDI can effectively relieve the anxiety and depression, raise the hope level and improve the quality of life of both male infertility patients and their spouses.
MeSH term(s)	Female ; Humans ; Male ; Quality of Life/psychology ; Spouses/psychology ; Respect ; Infertility/therapy ; Infertility/psychology ; Infertility, Male/therapy ; Anxiety/therapy ; Depression/therapy
Language	Chinese
Publishing date	2024-04-10
Publishing country	China
Document type	English Abstract ; Journal Article
ZDB-ID	2267480-9
ISSN	1009-3591
ISSN	1009-3591
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Article ; Online: Facial attribute classification by deep mining inter‐attribute correlations

Na Liu / Fan Zhang / Liang Chang / Fuqing Duan

IET Computer Vision, Vol 17, Iss 3, Pp 352-

2023 Volume 365

Abstract: Abstract Face attribute classification (FAC) has received considerable attention due to its excellent application value in bio‐metric verification and face retrieval. Current FAC methods suffer two typical challenges: complex inter‐attribute correlations ...

Abstract	Abstract Face attribute classification (FAC) has received considerable attention due to its excellent application value in bio‐metric verification and face retrieval. Current FAC methods suffer two typical challenges: complex inter‐attribute correlations and imbalanced learning. Aims at the challenges, presents an end‐to‐end FAC framework with integrated use of multiple strategies, which consists of a convolutional neural network (CNN) and a graph convolutional network (GCN). The GCN is used to model the semantic correlations among attributes and capture inter‐dependency among them. The correlation information learnt via the GCN is used to guide the learning of the inter‐dependent classification features of the FAC network. An adaptive thresholding strategy and a boosting scheme are adopted to alleviate the effect of the class‐imbalance. To deal with the task imbalance problem, a new dynamic weighting scheme is proposed to update the weight of each attribute classification task in the training process. We apply four evaluation metrics to evaluate the proposed method. Experimental results show all the proposed strategies are effective, and our approach outperforms state‐of‐the‐art FAC methods on two challenging datasets CelebA and LFWA.
Keywords	image classification ; image processing ; image recognition ; Computer applications to medicine. Medical informatics ; R858-859.7 ; Computer software ; QA76.75-76.765
Subject code	006
Language	English
Publishing date	2023-04-01T00:00:00Z
Publisher	Wiley
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: A Comparative Study of Human Pluripotent Stem Cell-Derived Macrophages in Modeling Viral Infections.

Zhang, Yaxuan / Qiu, Hui / Duan, Fuyu / An, Haoran / Qiao, Huimin / Zhang, Xingwu / Zhang, Jing-Ren / Ding, Qiang / Na, Jie

Viruses

2024 Volume 16, Issue 4

Abstract: Macrophages play multiple roles in innate immunity including phagocytosing pathogens, modulating the inflammatory response, presenting antigens, and recruiting other immune cells. Tissue-resident macrophages (TRMs) adapt to the local microenvironment and ...

Abstract	Macrophages play multiple roles in innate immunity including phagocytosing pathogens, modulating the inflammatory response, presenting antigens, and recruiting other immune cells. Tissue-resident macrophages (TRMs) adapt to the local microenvironment and can exhibit different immune responses upon encountering distinct pathogens. In this study, we generated induced macrophages (iMACs) derived from human pluripotent stem cells (hPSCs) to investigate the interactions between the macrophages and various human pathogens, including the hepatitis C virus (HCV), severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), and
MeSH term(s)	Humans ; Macrophages/immunology ; Macrophages/virology ; Hepacivirus/immunology ; Hepacivirus/physiology ; SARS-CoV-2/immunology ; Pluripotent Stem Cells/immunology ; Streptococcus pneumoniae/immunology ; COVID-19/immunology ; COVID-19/virology ; Hepatitis C/immunology ; Hepatitis C/virology ; Phagocytosis ; Virus Diseases/immunology ; Immunity, Innate
Language	English
Publishing date	2024-04-01
Publishing country	Switzerland
Document type	Journal Article ; Research Support, Non-U.S. Gov't ; Comparative Study
ZDB-ID	2516098-9
ISSN	1999-4915 ; 1999-4915
ISSN (online)	1999-4915
ISSN	1999-4915
DOI	10.3390/v16040552
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article: Diagnostic and prognostic potential of long non-coding RNA NORAD in patients with acute deep vein thrombosis and its role in endothelial cell function.

Zhou, Kun / Li, Na / Qi, Jia / Tu, Pingping / Yang, Yan / Duan, Hui

Thrombosis journal

2024 Volume 22, Issue 1, Page(s) 3

Abstract: Background: Deep venous thrombosis (DVT) is the common clinical cardiovascular disease, and easily develops into post-thrombotic syndrome (PTS). The study aimed to examine the clinical value of long non-coding RNA NORAD gene in the development of DVT ... ...

Abstract	Background: Deep venous thrombosis (DVT) is the common clinical cardiovascular disease, and easily develops into post-thrombotic syndrome (PTS). The study aimed to examine the clinical value of long non-coding RNA NORAD gene in the development of DVT and PTS. In vitro, the underlying mechanism was explored. Methods: Serum levels of lncRNA NORAD gene in 85 DVT cases and 85 healthy individuals were tested. The role of lncRNA NORAD gene in human umbilical vein endothelial cells (HUVECs) proliferation, migration and inflammation was examined. The candidate downstream target gene was predicted via bioinformatic analysis. Gene ontology (GO) analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis were done for the function annotation and pathway enrichment. Results: LncRNA NORAD gene was at high expression in the serum of DVT patients, it can distinguish DVT patients from healthy controls with the area under the curve of 0.919. Elevated expression of lncRNA NORAD gene in PTS patients was detected, DVT cases with high expression of lncRNA NORAD gene were more susceptible to PTS. LncRNA NORAD gene knockdown promoted HUVECs' proliferation, migration while suppressing cell apoptosis and inflammation. MiR-93-5p served as a target of lncRNA NORAD gene, and its overexpression reversed the role of lncRNA NORAD gene in the biological function of HUVECs. The target genes of miR-93-5p were enriched in HIF-1 signaling, TGF-beta signaling and PI3K-Akt signaling, protein-protein interaction (PPI) network indicated STAT3, MAPK1 to be the key targets. Conclusions: Upregulation of expression of lncRNA NORAD gene was a potential diagnostic biomarker for DVT and related to the development of PTS. LncRNA NORAD/miR-93-5p axis was involved in the progress of DVT through regulating endothelial cell function.
Language	English
Publishing date	2024-01-02
Publishing country	England
Document type	Journal Article
ZDB-ID	2118392-2
ISSN	1477-9560
ISSN	1477-9560
DOI	10.1186/s12959-023-00575-3
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Article ; Online: Targeted Delivery of Geraniol via Hyaluronic Acid-Conjugation Enhances Its Anti-Tumor Activity Against Prostate Cancer.

Yu, Han / Ning, Na / He, Fujin / Xu, Jiao / Zhao, Han / Duan, Shaofeng / Zhao, Yunqi

International journal of nanomedicine

2024 Volume 19, Page(s) 155–169

Abstract: Background: Targeted delivery systems have been developed to improve cancer treatment by reducing side effects and enhancing drug efficacy. Geraniol, a natural product, has demonstrated promising anti-cancer effects in various cancer types, including ... ...

Abstract	Background: Targeted delivery systems have been developed to improve cancer treatment by reducing side effects and enhancing drug efficacy. Geraniol, a natural product, has demonstrated promising anti-cancer effects in various cancer types, including prostate cancer, which is the most commonly diagnosed cancer in men. Hyaluronic acid (HA), a natural carrier targeting CD44-positive prostate cancer cells, can be utilized in a targeted delivery system. Purpose: This study investigated the efficacy of a conjugate of HA and geraniol linked via a disulfide bond linker (HA-SS-Geraniol) in prostate cancer. Materials and methods: The cytotoxicity of HA-SS-Geraniol was evaluated on human PC-3 prostate cancer cells. Flow cytometry was used to assess its effects on mitochondrial membrane potential, apoptosis, and cell cycle arrest. Additionally, proteomic analysis was conducted to explore the underlying mechanism of action induced by HA-SS-Geraniol treatment. A subcutaneous xenograft tumor model was established in nude mice to evaluate the toxicity and efficacy of HA-SS-Geraniol in vivo. Results: The results demonstrated that HA-SS-Geraniol exhibited potent cytotoxicity against PC-3 prostate cancer cells by inducing mitochondrial membrane potential loss and apoptosis in vitro. The proteomic analysis further supported the hypothesis that HA-SS-Geraniol induces cell death through mitochondria-mediated apoptosis, as evidenced by differential protein expression. The in vivo mouse model confirmed the safety of HA-SS-Geraniol and its ability to inhibit tumor growth. Conclusion: HA-SS-Geraniol holds promise as a biologically safe and potentially effective therapeutic agent for prostate cancer treatment. Its targeted delivery system utilizing HA as a carrier shows potential for improving the efficacy of geraniol in cancer therapy.
MeSH term(s)	Male ; Humans ; Animals ; Mice ; Hyaluronic Acid ; Mice, Nude ; Proteomics ; Prostatic Neoplasms/drug therapy ; Disease Models, Animal ; Acyclic Monoterpenes
Chemical Substances	geraniol (L837108USY) ; Hyaluronic Acid (9004-61-9) ; Acyclic Monoterpenes
Language	English
Publishing date	2024-01-06
Publishing country	New Zealand
Document type	Journal Article
ZDB-ID	2364941-0
ISSN	1178-2013 ; 1176-9114
ISSN (online)	1178-2013
ISSN	1176-9114
DOI	10.2147/IJN.S444815
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Article ; Online: AoPrdx2 Regulates Oxidative Stress, Reactive Oxygen Species, Trap Formation, and Secondary Metabolism in

Zhao, Na / Zhu, Meichen / Liu, Qianqian / Shen, Yanmei / Duan, Shipeng / Zhu, Lirong / Yang, Jinkui

Journal of fungi (Basel, Switzerland)

2024 Volume 10, Issue 2

Abstract: Prdx2 is a peroxiredoxin (Prx) family protein that protects cells from attack via reactive oxygen species (ROS), and it has an important role in improving the resistance and scavenging capacity of ROS in fungi. ...

Abstract	Prdx2 is a peroxiredoxin (Prx) family protein that protects cells from attack via reactive oxygen species (ROS), and it has an important role in improving the resistance and scavenging capacity of ROS in fungi.
Language	English
Publishing date	2024-01-28
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2784229-0
ISSN	2309-608X ; 2309-608X
ISSN (online)	2309-608X
ISSN	2309-608X
DOI	10.3390/jof10020110
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