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  1. Artikel ; Online: New "drugs and targets" in the GWAS era of bipolar disorder.

    Qi, Hao-Xiang / Xiao, Xiao / Li, Tao / Li, Ming

    Bipolar disorders

    2023  Band 25, Heft 5, Seite(n) 410–421

    Abstract: Objective: Due to the phenotypic heterogeneity and etiological complexity of bipolar disorder (BD), many patients do not respond well to the current medications, and developing novel effective treatment is necessary. Whether any BD genome-wide ... ...

    Abstract Objective: Due to the phenotypic heterogeneity and etiological complexity of bipolar disorder (BD), many patients do not respond well to the current medications, and developing novel effective treatment is necessary. Whether any BD genome-wide association study (GWAS) risk genes were targets of existing drugs or novel drugs that can be repurposed in the clinical treatment of BD is a hot topic in the GWAS era of BD.
    Methods: A list of 425 protein-coding BD risk genes was distilled through the BD GWAS, and 4479 protein-coding druggable targets were retrieved from the druggable genome. The overlapped genes/targets were subjected to further analyses in DrugBank, Pharos, and DGIdb datasets in terms of their FDA status, mechanism of action and primary indication, to identify their potential for repurposing.
    Results: We identified 58 BD GWAS risk genes grouped as the druggable targets, and several genes were given higher priority. These BD risk genes were targets of antipsychotics, antidepressants, antiepileptics, calcium channel antagonists, as well as anxiolytics and analgesics, either existing clinically-approved drugs for BD or the drugs than can be repurposed for treatment of BD in the future. Those genes were also likely relevant to BD pathophysiology, as many of them encode ion channel, ion transporter or neurotransmitter receptor, or the mice manipulating those genes are likely to mimic the phenotypes manifest in BD patients.
    Conclusions: This study identifies several targets that may facilitate the discovery of novel treatments in BD, and implies the value of conducting GWAS into clinical translation.
    Mesh-Begriff(e) Humans ; Animals ; Mice ; Bipolar Disorder/drug therapy ; Bipolar Disorder/genetics ; Genome-Wide Association Study ; Genetic Predisposition to Disease ; Antidepressive Agents ; Phenotype
    Chemische Substanzen Antidepressive Agents
    Sprache Englisch
    Erscheinungsdatum 2023-01-16
    Erscheinungsland Denmark
    Dokumenttyp Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 1472242-2
    ISSN 1399-5618 ; 1398-5647
    ISSN (online) 1399-5618
    ISSN 1398-5647
    DOI 10.1111/bdi.13295
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  2. Artikel ; Online: Development of antibody-drug conjugates in cancer: Overview and prospects.

    Ruan, Dan-Yun / Wu, Hao-Xiang / Meng, Qi / Xu, Rui-Hua

    Cancer communications (London, England)

    2023  Band 44, Heft 1, Seite(n) 3–22

    Abstract: In recent years, remarkable breakthroughs have been reported on antibody-drug conjugates (ADCs), with 15 ADCs successfully entering the market over the past decade. This substantial development has positioned ADCs as one of the fastest-growing domains in ...

    Abstract In recent years, remarkable breakthroughs have been reported on antibody-drug conjugates (ADCs), with 15 ADCs successfully entering the market over the past decade. This substantial development has positioned ADCs as one of the fastest-growing domains in the realm of anticancer drugs, demonstrating their efficacy in treating a wide array of malignancies. Nonetheless, there is still an unmet clinical need for wider application, better efficacy, and fewer side effects of ADCs. An ADC generally comprises an antibody, a linker and a payload, and the combination has profound effects on drug structure, pharmacokinetic profile and efficacy. Hence, optimization of the key components provides an opportunity to develop ADCs with higher potency and fewer side effects. In this review, we comprehensively reviewed the current development and the prospects of ADC, provided an analysis of marketed ADCs and the ongoing pipelines globally as well as in China, highlighted several ADC platforms and technologies specific to different pharmaceutical enterprises and biotech companies, and also discussed the new related technologies, possibility of next-generation ADCs and the directions of clinical research.
    Mesh-Begriff(e) Humans ; Immunoconjugates/therapeutic use ; Immunoconjugates/chemistry ; Immunoconjugates/pharmacology ; Neoplasms/drug therapy ; Antineoplastic Agents/therapeutic use ; China
    Chemische Substanzen Immunoconjugates ; Antineoplastic Agents
    Sprache Englisch
    Erscheinungsdatum 2023-12-30
    Erscheinungsland United States
    Dokumenttyp Journal Article ; Review ; Research Support, Non-U.S. Gov't
    ISSN 2523-3548
    ISSN (online) 2523-3548
    DOI 10.1002/cac2.12517
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  3. Buch ; Online: SLS4D

    Feng, Qi-Yuan / Chen, Hao-Xiang / Xu, Qun-Ce / Mu, Tai-Jiang

    Sparse Latent Space for 4D Novel View Synthesis

    2023  

    Abstract: Neural radiance field (NeRF) has achieved great success in novel view synthesis and 3D representation for static scenarios. Existing dynamic NeRFs usually exploit a locally dense grid to fit the deformation field; however, they fail to capture the global ...

    Abstract Neural radiance field (NeRF) has achieved great success in novel view synthesis and 3D representation for static scenarios. Existing dynamic NeRFs usually exploit a locally dense grid to fit the deformation field; however, they fail to capture the global dynamics and concomitantly yield models of heavy parameters. We observe that the 4D space is inherently sparse. Firstly, the deformation field is sparse in spatial but dense in temporal due to the continuity of of motion. Secondly, the radiance field is only valid on the surface of the underlying scene, usually occupying a small fraction of the whole space. We thus propose to represent the 4D scene using a learnable sparse latent space, a.k.a. SLS4D. Specifically, SLS4D first uses dense learnable time slot features to depict the temporal space, from which the deformation field is fitted with linear multi-layer perceptions (MLP) to predict the displacement of a 3D position at any time. It then learns the spatial features of a 3D position using another sparse latent space. This is achieved by learning the adaptive weights of each latent code with the attention mechanism. Extensive experiments demonstrate the effectiveness of our SLS4D: it achieves the best 4D novel view synthesis using only about $6\%$ parameters of the most recent work.

    Comment: 10 pages, 6 figures
    Schlagwörter Computer Science - Computer Vision and Pattern Recognition ; Computer Science - Graphics
    Thema/Rubrik (Code) 004
    Erscheinungsdatum 2023-12-15
    Erscheinungsland us
    Dokumenttyp Buch ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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  4. Artikel ; Online: Metabolome and microbiome analyses of the anti-fatigue mechanism of

    Shi, Chao / Liang, Zehua / Li, Ting / Hao, Qi / Xiang, Hongyu / Xie, Qiuhong

    Food & function

    2024  Band 15, Heft 7, Seite(n) 3791–3809

    Abstract: Acanthopanax ... ...

    Abstract Acanthopanax senticosus
    Mesh-Begriff(e) Mice ; Animals ; Plant Extracts/chemistry ; Eleutherococcus/chemistry ; Fatigue/drug therapy ; Antioxidants ; Metabolome
    Chemische Substanzen Plant Extracts ; Antioxidants
    Sprache Englisch
    Erscheinungsdatum 2024-04-02
    Erscheinungsland England
    Dokumenttyp Journal Article
    ZDB-ID 2612033-1
    ISSN 2042-650X ; 2042-6496
    ISSN (online) 2042-650X
    ISSN 2042-6496
    DOI 10.1039/d3fo05311c
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  5. Artikel ; Online: Precise determination of major and trace elements in micrometer-scale ilmenite lamellae in titanomagnetite using LA-ICP-MS technique: application of regression analysis to time-resolved signals.

    Liu, Si-Qi / Jiang, Shao-Yong / Chen, Wei / Wang, Christina Yan / Su, Hui-Min / Cao, Yonghua / Zhang, Hao-Xiang / Li, Wen-Tian

    RSC advances

    2023  Band 13, Heft 19, Seite(n) 13303–13313

    Abstract: Laser ablation ICP-MS (LA-ICP-MS) is a powerful microbeam technique capable of rapid and precise determination for a large spectrum of trace elements at ppm or sub-ppm levels. Micrometer-scale minerals and inclusions are very common in geological ... ...

    Abstract Laser ablation ICP-MS (LA-ICP-MS) is a powerful microbeam technique capable of rapid and precise determination for a large spectrum of trace elements at ppm or sub-ppm levels. Micrometer-scale minerals and inclusions are very common in geological materials, for which direct measurement is restricted by the spot size using LA-ICP-MS (generally 20-50 μm). In this study, ilmenite lamellae intergrown with magnetite were selected as an example to describe a practical algorithm that applies regression analysis to extract the chemical compositions of binary phases from mixed LA-ICP-MS signals. The method accuracy is confirmed by the agreement between the regressed value for various trace elements in ilmenite exsolutions and their reference values (direct analyses using EPMA and LA-ICP-MS). Results were obtained for most detectable components (Mg, Mn, V, Nb, Ta, Sc, Zr, Hf, Sn,
    Sprache Englisch
    Erscheinungsdatum 2023-05-02
    Erscheinungsland England
    Dokumenttyp Journal Article
    ISSN 2046-2069
    ISSN (online) 2046-2069
    DOI 10.1039/d3ra02472e
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  6. Artikel ; Online: The unilateral biportal endoscopic technique for lumbar disc herniation.

    Zhu, Hao / Yang, Qi / Xiang, Zhicheng / Shang, Hui

    Asian journal of surgery

    2023  Band 46, Heft 9, Seite(n) 4087

    Mesh-Begriff(e) Humans ; Intervertebral Disc Displacement/surgery ; Endoscopy/methods ; Decompression, Surgical/methods ; Treatment Outcome ; Retrospective Studies
    Sprache Englisch
    Erscheinungsdatum 2023-05-04
    Erscheinungsland Netherlands
    Dokumenttyp Letter
    ZDB-ID 1068461-x
    ISSN 0219-3108 ; 1015-9584
    ISSN (online) 0219-3108
    ISSN 1015-9584
    DOI 10.1016/j.asjsur.2023.04.065
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  7. Artikel ; Online: Network-based analysis revealed significant interactions between risk genes of severe COVID-19 and host genes interacted with SARS-CoV-2 proteins.

    Qi, Hao-Xiang / Shen, Qi-Dong / Zhao, Hong-Yi / Qi, Guo-Zhen / Gao, Lei

    Briefings in bioinformatics

    2021  Band 23, Heft 1

    Abstract: ... Haoxiang-Qi/Network-Calculator.git). By using Network Calculator, we identified a network composed of 13 ...

    Abstract Whether risk genes of severe coronavirus disease 2019 (COVID-19) from genome-wide association study could play their regulatory roles by interacting with host genes that were interacted with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) proteins was worthy of exploration. In this study, we implemented a network-based approach by developing a user-friendly software Network Calculator (https://github.com/Haoxiang-Qi/Network-Calculator.git). By using Network Calculator, we identified a network composed of 13 risk genes and 28 SARS-CoV-2 interacted host genes that had the highest network proximity with each other, with a hub gene HNRNPK identified. Among these genes, 14 of them were identified to be differentially expressed in RNA-seq data from severe COVID-19 cases. Besides, by expression enrichment analysis in single-cell RNA-seq data, compared with mild COVID-19, these genes were significantly enriched in macrophage, T cell and epithelial cell for severe COVID-19. Meanwhile, 74 pathways were significantly enriched. Our analysis provided insights for the underlying genetic etiology of severe COVID-19 from the perspective of network biology.
    Mesh-Begriff(e) COVID-19/genetics ; COVID-19/metabolism ; Genome-Wide Association Study ; Humans ; Patient Acuity ; RNA-Seq ; Risk Factors ; SARS-CoV-2/genetics ; SARS-CoV-2/metabolism ; Viral Proteins/genetics ; Viral Proteins/metabolism
    Chemische Substanzen Viral Proteins
    Sprache Englisch
    Erscheinungsdatum 2021-09-17
    Erscheinungsland England
    Dokumenttyp Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2068142-2
    ISSN 1477-4054 ; 1467-5463
    ISSN (online) 1477-4054
    ISSN 1467-5463
    DOI 10.1093/bib/bbab372
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  8. Artikel ; Online: Endosymbionts of citrus leafminer Phyllocnistis citrella Stainton among different citrus orchards in China.

    Liu, Hao-Qiang / Li, Hong-Jun / Pan, Qi / Xiang, Yao-Zong

    Scientific data

    2024  Band 11, Heft 1, Seite(n) 519

    Abstract: Endosymbionts regulate the behavior of pest species, which could provide insights into their control. The citrus leafminer (Phyllocnistis citrella Stainton) is a widely distributed pest associated with diseases of citrus, especially of young trees. Here, ...

    Abstract Endosymbionts regulate the behavior of pest species, which could provide insights into their control. The citrus leafminer (Phyllocnistis citrella Stainton) is a widely distributed pest associated with diseases of citrus, especially of young trees. Here, we determined the endosymbiont composition of P. citrella in citrus orchards across China. The resulting dataset comprised average 50,430 high-quality reads for bacterial 16S rRNA V3-V4 regions of endosymbionts from 36 P. citrella larvae sampled from 12 citrus orchards across China. The sequencing depth and sampling size of this dataset were sufficient to reveal most of the endosymbionts of P. citrella. In total, 2,875 bacterial amplicon sequence variants were obtained; taxonomic analysis revealed a total of 372 bacterial genera, most of which were Proteobacteria phylum with Undibacterium being the most abundant genus. This dataset provides the first evidence of P. citrella endosymbionts that could support the development of pest management approaches in citrus orchards.
    Mesh-Begriff(e) Animals ; Bacteria/classification ; Bacteria/genetics ; China ; Citrus ; Larva/microbiology ; Moths/microbiology ; RNA, Ribosomal, 16S/genetics ; Symbiosis
    Chemische Substanzen RNA, Ribosomal, 16S
    Sprache Englisch
    Erscheinungsdatum 2024-05-22
    Erscheinungsland England
    Dokumenttyp Dataset ; Journal Article
    ZDB-ID 2775191-0
    ISSN 2052-4463 ; 2052-4463
    ISSN (online) 2052-4463
    ISSN 2052-4463
    DOI 10.1038/s41597-024-03372-3
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  9. Artikel: First report of

    Sun, Lei / Deng, Li Guang / Fan, Jin Qin / Xiang, Wei / Chen, Qi Dong / He, Qiong / Wu, Ling Hai / Hu, Hao Shi / Pan, Hao

    Plant disease

    2024  

    Abstract: Lily ( ...

    Abstract Lily (
    Sprache Englisch
    Erscheinungsdatum 2024-03-18
    Erscheinungsland United States
    Dokumenttyp Journal Article
    ZDB-ID 754182-x
    ISSN 0191-2917
    ISSN 0191-2917
    DOI 10.1094/PDIS-12-23-2588-PDN
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  10. Artikel ; Online: Bidirectional genetic overlap between bipolar disorder and intelligence.

    Shang, Meng-Yuan / Wu, Yong / Zhang, Chu-Yi / Qi, Hao-Xiang / Zhang, Qing / Huo, Jin-Hua / Wang, Lu / Wang, Chuang / Li, Ming

    BMC medicine

    2022  Band 20, Heft 1, Seite(n) 464

    Abstract: Background: Bipolar disorder (BD) is a highly heritable psychiatric illness exhibiting substantial correlation with intelligence.: Methods: To investigate the shared genetic signatures between BD and intelligence, we utilized the summary statistics ... ...

    Abstract Background: Bipolar disorder (BD) is a highly heritable psychiatric illness exhibiting substantial correlation with intelligence.
    Methods: To investigate the shared genetic signatures between BD and intelligence, we utilized the summary statistics from genome-wide association studies (GWAS) to conduct the bivariate causal mixture model (MiXeR) and conjunctional false discovery rate (conjFDR) analyses. Subsequent expression quantitative trait loci (eQTL) mapping in human brain and enrichment analyses were also performed.
    Results: Analysis with MiXeR suggested that approximately 10.3K variants could influence intelligence, among which 7.6K variants were correlated with the risk of BD (Dice: 0.80), and 47% of these variants predicted BD risk and intelligence in consistent allelic directions. The conjFDR analysis identified 37 distinct genomic loci that were jointly associated with BD and intelligence with a conjFDR < 0.01, and 16 loci (43%) had the same directions of allelic effects in both phenotypes. Brain eQTL analyses found that genes affected by the "concordant loci" were distinct from those modulated by the "discordant loci". Enrichment analyses suggested that genes related to the "concordant loci" were significantly enriched in pathways/phenotypes related with synapses and sleep quality, whereas genes associated with the "discordant loci" were enriched in pathways related to cell adhesion, calcium ion binding, and abnormal emotional phenotypes.
    Conclusions: We confirmed the polygenic overlap with mixed directions of allelic effects between BD and intelligence and identified multiple genomic loci and risk genes. This study provides hints for the mesoscopic phenotypes of BD and relevant biological mechanisms, promoting the knowledge of the genetic and phenotypic heterogeneity of BD. The essential value of leveraging intelligence in BD investigations is also highlighted.
    Mesh-Begriff(e) Humans ; Bipolar Disorder/genetics ; Genome-Wide Association Study ; Intelligence/genetics ; Brain ; Alleles
    Sprache Englisch
    Erscheinungsdatum 2022-11-30
    Erscheinungsland England
    Dokumenttyp Journal Article
    ZDB-ID 2131669-7
    ISSN 1741-7015 ; 1741-7015
    ISSN (online) 1741-7015
    ISSN 1741-7015
    DOI 10.1186/s12916-022-02668-8
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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