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  1. Article ; Online: Nomogram for predicting disease-specific survival in osteosarcoma.

    Yang, Xia / Yang, Yajie / Weng, Xin / Zhang, Meng

    Chinese medical journal

    2022  Volume 135, Issue 9, Page(s) 1126–1128

    MeSH term(s) Bone Neoplasms ; Humans ; Nomograms ; Osteosarcoma ; Prognosis ; Survival Rate
    Language English
    Publishing date 2022-05-05
    Publishing country China
    Document type Letter
    ZDB-ID 127089-8
    ISSN 2542-5641 ; 0366-6999 ; 1002-0187
    ISSN (online) 2542-5641
    ISSN 0366-6999 ; 1002-0187
    DOI 10.1097/CM9.0000000000001837
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: XMECP: Reaching State-of-the-Art MECP Optimization in Multiscale Complex Systems.

    Xu, Jiawei / Hao, Jian / Bu, Caijie / Meng, Yajie / Xiao, Han / Zhang, Minyi / Li, Chunsen

    Journal of chemical theory and computation

    2024  

    Abstract: The Python-based program, XMECP, is developed for realizing robust, efficient, and state-of-the-art minimum energy crossing point (MECP) optimization in multiscale complex systems. This article introduces the basic capabilities of the XMECP program by ... ...

    Abstract The Python-based program, XMECP, is developed for realizing robust, efficient, and state-of-the-art minimum energy crossing point (MECP) optimization in multiscale complex systems. This article introduces the basic capabilities of the XMECP program by theoretically investigating the MECP mechanism of several example systems including (1) the photosensitization mechanism of benzophenone, (2) photoinduced proton-coupled electron transfer in the cytosine-guanine base pair in DNA, (3) the spin-flip process in oxygen activation catalyzed by an iron-containing 2-oxoglutarate-dependent oxygenase (Fe/2OGX), and (4) the photochemical pathway of flavoprotein adjusted by the intensity of an external electric field. MECPs related to multistate reaction and multistate reactivity in large-scale complex biochemical systems can be well-treated by workflows suggested by the XMECP program. The branching plane updating the MECP optimization algorithm is strongly recommended as it provides derivative coupling vector (DCV) with explicit calculation and can equivalently evaluate contributions from non-QM residues to DCV, which can be nonadiabatic coupling or spin-orbit coupling in different cases. In the discussed QM/MM examples, we also found that the influence on the QM region by DCV can occur through noncovalent interactions and decay with distance. In the example of DNA base pairs, the nonadiabatic coupling occurs across the π-π stacking structure formed in the double-helix system. In contrast to general intuition, in the example of Fe/2OGX, the central ferrous and oxygen part contribute little to the spin-orbit coupling; however, a nearby arginine residue, which is treated by molecular mechanics in the QM/MM method, contributes significantly via two hydrogen bonds formed with α-ketoglutarate (α-KG). This indicates that the arginine residue plays a significant role in oxygen activation, driving the initial triplet state toward the productive quintet state, which is more than the previous knowledge that the arginine residue can bind α-KG at the reaction site by hydrogen bonds.
    Language English
    Publishing date 2024-04-23
    Publishing country United States
    Document type Journal Article
    ISSN 1549-9626
    ISSN (online) 1549-9626
    DOI 10.1021/acs.jctc.4c00033
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: HFS-SLPEE

    Yajie Meng / Min Jin

    Frontiers in Cell and Developmental Biology, Vol

    A Novel Hierarchical Feature Selection and Second Learning Probability Error Ensemble Model for Precision Cancer Diagnosis

    2021  Volume 9

    Abstract: The emergence of high-throughput RNA-seq data has offered unprecedented opportunities for cancer diagnosis. However, capturing biological data with highly nonlinear and complex associations by most existing approaches for cancer diagnosis has been ... ...

    Abstract The emergence of high-throughput RNA-seq data has offered unprecedented opportunities for cancer diagnosis. However, capturing biological data with highly nonlinear and complex associations by most existing approaches for cancer diagnosis has been challenging. In this study, we propose a novel hierarchical feature selection and second learning probability error ensemble model (named HFS-SLPEE) for precision cancer diagnosis. Specifically, we first integrated protein-coding gene expression profiles, non-coding RNA expression profiles, and DNA methylation data to provide rich information; afterward, we designed a novel hierarchical feature selection method, which takes the CpG-gene biological associations into account and can select a compact set of superior features; next, we used four individual classifiers with significant differences and apparent complementary to build the heterogeneous classifiers; lastly, we developed a second learning probability error ensemble model called SLPEE to thoroughly learn the new data consisting of classifiers-predicted class probability values and the actual label, further realizing the self-correction of the diagnosis errors. Benchmarking comparisons on TCGA showed that HFS-SLPEE performs better than the state-of-the-art approaches. Moreover, we analyzed in-depth 10 groups of selected features and found several novel HFS-SLPEE-predicted epigenomics and epigenetics biomarkers for breast invasive carcinoma (BRCA) (e.g., TSLP and ADAMTS9-AS2), lung adenocarcinoma (LUAD) (e.g., HBA1 and CTB-43E15.1), and kidney renal clear cell carcinoma (KIRC) (e.g., IRX2 and BMPR1B-AS1).
    Keywords precision cancer diagnosis ; hierarchical feature selection ; ensemble model ; transcriptome profiling ; DNA methylation ; biomarker ; Biology (General) ; QH301-705.5
    Subject code 004
    Language English
    Publishing date 2021-06-01T00:00:00Z
    Publisher Frontiers Media S.A.
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  4. Article: SARS-CoV-2 Papain-like Protease Negatively Regulates the NLRP3 Inflammasome Pathway and Pyroptosis by Reducing the Oligomerization and Ubiquitination of ASC.

    Meng, Huan / Zhou, Jianglin / Wang, Mingyu / Zheng, Mei / Xing, Yaling / Wang, Yajie

    Microorganisms

    2023  Volume 11, Issue 11

    Abstract: The interaction of viruses with hosts is complex, especially so with the antiviral immune systems of hosts, and the underlying mechanisms remain perplexing. Infection ... ...

    Abstract The interaction of viruses with hosts is complex, especially so with the antiviral immune systems of hosts, and the underlying mechanisms remain perplexing. Infection with
    Language English
    Publishing date 2023-11-17
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2720891-6
    ISSN 2076-2607
    ISSN 2076-2607
    DOI 10.3390/microorganisms11112799
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article: HFS-SLPEE: A Novel Hierarchical Feature Selection and Second Learning Probability Error Ensemble Model for Precision Cancer Diagnosis.

    Meng, Yajie / Jin, Min

    Frontiers in cell and developmental biology

    2021  Volume 9, Page(s) 696359

    Abstract: The emergence of high-throughput RNA-seq data has offered unprecedented opportunities for cancer diagnosis. However, capturing biological data with highly nonlinear and complex associations by most existing approaches for cancer diagnosis has been ... ...

    Abstract The emergence of high-throughput RNA-seq data has offered unprecedented opportunities for cancer diagnosis. However, capturing biological data with highly nonlinear and complex associations by most existing approaches for cancer diagnosis has been challenging. In this study, we propose a novel hierarchical feature selection and second learning probability error ensemble model (named HFS-SLPEE) for precision cancer diagnosis. Specifically, we first integrated protein-coding gene expression profiles, non-coding RNA expression profiles, and DNA methylation data to provide rich information; afterward, we designed a novel hierarchical feature selection method, which takes the CpG-gene biological associations into account and can select a compact set of superior features; next, we used four individual classifiers with significant differences and apparent complementary to build the heterogeneous classifiers; lastly, we developed a second learning probability error ensemble model called SLPEE to thoroughly learn the new data consisting of classifiers-predicted class probability values and the actual label, further realizing the self-correction of the diagnosis errors. Benchmarking comparisons on TCGA showed that HFS-SLPEE performs better than the state-of-the-art approaches. Moreover, we analyzed in-depth 10 groups of selected features and found several novel HFS-SLPEE-predicted epigenomics and epigenetics biomarkers for breast invasive carcinoma (BRCA) (e.g., TSLP and ADAMTS9-AS2), lung adenocarcinoma (LUAD) (e.g., HBA1 and CTB-43E15.1), and kidney renal clear cell carcinoma (KIRC) (e.g., IRX2 and BMPR1B-AS1).
    Language English
    Publishing date 2021-06-30
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2737824-X
    ISSN 2296-634X
    ISSN 2296-634X
    DOI 10.3389/fcell.2021.696359
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article: An update on brown adipose tissue and obesity intervention: Function, regulation and therapeutic implications.

    Liu, Xiaomeng / Zhang, Zhi / Song, Yajie / Xie, Hengchang / Dong, Meng

    Frontiers in endocrinology

    2023  Volume 13, Page(s) 1065263

    Abstract: Overweight and obesity have become a world-wide problem. However, effective intervention approaches are limited. Brown adipose tissue, which helps maintain body temperature and contributes to thermogenesis, is dependent on uncoupling protein1. Over the ... ...

    Abstract Overweight and obesity have become a world-wide problem. However, effective intervention approaches are limited. Brown adipose tissue, which helps maintain body temperature and contributes to thermogenesis, is dependent on uncoupling protein1. Over the last decade, an in-creasing number of studies have found that activating brown adipose tissue and browning of white adipose tissue can protect against obesity and obesity-related metabolic disease. Brown adipose tissue has gradually become an appealing therapeutic target for the prevention and re-versal of obesity. However, some important issues remain unresolved. It is not certain whether increasing brown adipose tissue activity is the cause or effect of body weight loss or what the risks might be for sympathetic nervous system-dependent non-shivering thermogenesis. In this review, we comprehensively summarize approaches to activating brown adipose tissue and/or browning white adipose tissue, such as cold exposure, exercise, and small-molecule treatment. We highlight the functional mechanisms of small-molecule treatment and brown adipose tissue transplantation using batokine, sympathetic nervous system and/or gut microbiome. Finally, we discuss the causality between body weight loss induced by bariatric surgery, exercise, and brown adipose tissue activity.
    MeSH term(s) Humans ; Adipose Tissue, Brown/metabolism ; Obesity/therapy ; Obesity/metabolism ; Adipose Tissue, White/metabolism ; Sympathetic Nervous System/metabolism ; Weight Loss
    Language English
    Publishing date 2023-01-11
    Publishing country Switzerland
    Document type Journal Article ; Review ; Research Support, Non-U.S. Gov't
    ZDB-ID 2592084-4
    ISSN 1664-2392
    ISSN 1664-2392
    DOI 10.3389/fendo.2022.1065263
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: A near-infrared fluorescent ratiometric probe with large Stokes shift for multi-mode sensing of Pb

    Bai, Cuibing / Yao, Junxiong / Meng, Qian / Dong, Yajie / Chen, Mengyu / Liu, Xinyi / Wang, Xinyu / Qiao, Rui / Huang, Huanan / Wei, Biao / Qu, Changqing / Miao, Hui

    Journal of hazardous materials

    2024  Volume 469, Page(s) 133968

    Abstract: ... ...

    Abstract Pb
    MeSH term(s) Humans ; Animals ; Mice ; Fluorescent Dyes ; HeLa Cells ; Lead ; Ecosystem
    Chemical Substances Fluorescent Dyes ; Lead (2P299V784P)
    Language English
    Publishing date 2024-03-05
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 1491302-1
    ISSN 1873-3336 ; 0304-3894
    ISSN (online) 1873-3336
    ISSN 0304-3894
    DOI 10.1016/j.jhazmat.2024.133968
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article: Comparative analysis of the gut bacteria and fungi in migratory demoiselle cranes (

    Li, Ziteng / Duan, Tianfeng / Wang, Lin / Wu, Jiawei / Meng, Yajie / Bao, Dulan / Gao, Li / Liu, Li

    Frontiers in microbiology

    2024  Volume 15, Page(s) 1341512

    Abstract: Introduction: Gut microbiota are closely related to the nutrition, immunity, and metabolism of the host and play important roles in maintaining the normal physiological activities of animals. Cranes are important protected avian species in China, and ... ...

    Abstract Introduction: Gut microbiota are closely related to the nutrition, immunity, and metabolism of the host and play important roles in maintaining the normal physiological activities of animals. Cranes are important protected avian species in China, and they are sensitive to changes in the ecological environment and are thus good environmental indicators. There have been no reports examining gut fungi or the correlation between bacteria and fungi in wild Demoiselle cranes (
    Methods: 16S rRNA and ITS high-throughput sequencing techniques were used to analyze the gut bacterial and fungal diversity of Common and Demoiselle cranes migrating to the Yellow River wetland in Inner Mongolia.
    Results: The results revealed that for gut bacteria α diversity, Chao1 index in Demoiselle cranes was remarkably higher than that in Common cranes (411.07 ± 79.54 vs. 294.92 ± 22.38), while other index had no remarkably differences. There was no remarkable difference in fungal diversity. There were marked differences in the gut microbial composition between the two crane species. At the phylum level, the highest abundance of bacteria in the Common crane and Demoiselle crane samples was Firmicutes, accounting for 87.84% and 74.29%, respectively. The highest abundance of fungi in the guts of the Common and Demoiselle cranes was Ascomycota, accounting for 69.42% and 57.63%, respectively. At the genus level, the most abundant bacterial genus in the Common crane sample was
    Discussion: This study provided a research basis for the protection of cranes. Indeed, a better understanding of the gut microbiota is very important for the conservation and management of wild birds, as it not only helps us to understand their life history and related mechanisms, but also can hinder the spread of pathogenic microorganisms.
    Language English
    Publishing date 2024-03-20
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2587354-4
    ISSN 1664-302X
    ISSN 1664-302X
    DOI 10.3389/fmicb.2024.1341512
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: PFOS Elicits Cytotoxicity in Neuron Through Astrocyte-Derived CaMKII-DLG1 Signaling In Vitro Rat Hippocampal Model.

    Yang, Jiawei / Wang, Ying / Xia, Yuyan / Ren, Yajie / Wang, Zhi / Meng, Xin / Li, Shuangyue / Liu, Xiaohui / Shao, Jing

    Neurochemical research

    2024  Volume 49, Issue 5, Page(s) 1226–1238

    Abstract: Both epidemiological investigation and animal experiments demonstrated that pre-/postnatal exposure to perfluorooctane sulfonic acid (PFOS) could induce neurodevelopmental disorders. Previous studies showed that astrocyte was involved in PFOS-induced ... ...

    Abstract Both epidemiological investigation and animal experiments demonstrated that pre-/postnatal exposure to perfluorooctane sulfonic acid (PFOS) could induce neurodevelopmental disorders. Previous studies showed that astrocyte was involved in PFOS-induced neurotoxicity, while little information is available. In the present study, the role of astrocyte-derived calmodulin-dependent protein kinase II (CaMKII)-phosphorylated discs large homolog 1 (DLG1) signaling in PFOS eliciting cytotoxicity in neuron was explored with primary cultured hippocampal astrocyte and neuron. The application of PFOS showed a decreased cell viability, synapse length and glutamate transporter 1 (GLT-1) expression, but an increased CaMKII, DLG1 and cyclic AMP response element binding protein (CREB) expression in primary cultured astrocyte. With 2-(2-hydroxyethylamino)-6-aminohexylcarbamic acid tert-butyl ester-9-isopropylpurine (CK59), the CaMKII inhibitor, the disturbed cell viability and molecules induced by PFOS could be alleviated (CREB expression was excluded) in astrocytes. The cytotoxic effect of neuron exposed to astrocyte conditional medium collected from PFOS (PFOS-ACM) pretreated with CK59 was also decreased. These results indicated that PFOS mediated GLT-1 expression through astrocyte-derived CaMKII-DLG signaling, which might be associated with injuries on neurons. The present study gave an insight in further exploration of mechanism in PFOS-induced neurotoxicity.
    MeSH term(s) Rats ; Animals ; Astrocytes/metabolism ; Calcium-Calmodulin-Dependent Protein Kinase Type 2/metabolism ; Hippocampus/metabolism ; Neurons/metabolism ; Cells, Cultured ; Fluorocarbons ; Alkanesulfonic Acids
    Chemical Substances perfluorooctane sulfonic acid (9H2MAI21CL) ; Calcium-Calmodulin-Dependent Protein Kinase Type 2 (EC 2.7.11.17) ; Fluorocarbons ; Alkanesulfonic Acids
    Language English
    Publishing date 2024-02-23
    Publishing country United States
    Document type Journal Article
    ZDB-ID 199335-5
    ISSN 1573-6903 ; 0364-3190
    ISSN (online) 1573-6903
    ISSN 0364-3190
    DOI 10.1007/s11064-024-04109-9
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: Tumor cell senescence-induced macrophage CD73 expression is a critical metabolic immune checkpoint in the aging tumor microenvironment.

    Deng, Yue / Chen, Qinyan / Yang, Xiao / Sun, Yajie / Zhang, Bin / Wei, Wenwen / Deng, Suke / Meng, Jingshu / Hu, Yan / Wang, Yijun / Zhang, Zhanjie / Wen, Lu / Huang, Fang / Wan, Chao / Yang, Kunyu

    Theranostics

    2024  Volume 14, Issue 3, Page(s) 1224–1240

    Abstract: Background: ...

    Abstract Background:
    MeSH term(s) Humans ; Tumor Microenvironment ; Cisplatin ; Macrophages/metabolism ; Cellular Senescence ; Lung Neoplasms/pathology ; Adenosine/metabolism
    Chemical Substances Cisplatin (Q20Q21Q62J) ; Adenosine (K72T3FS567)
    Language English
    Publishing date 2024-01-20
    Publishing country Australia
    Document type Journal Article
    ZDB-ID 2592097-2
    ISSN 1838-7640 ; 1838-7640
    ISSN (online) 1838-7640
    ISSN 1838-7640
    DOI 10.7150/thno.91119
    Database MEDical Literature Analysis and Retrieval System OnLINE

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