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  1. Article ; Online: Metagenomic and Machine Learning Meta-Analyses Characterize Airborne Resistome Features and Their Hosts in China Megacities.

    Wu, Dong / Xie, Jiawen / Liu, Yangying / Jin, Ling / Li, Guiying / An, Taicheng

    Environmental science & technology

    2023  Volume 57, Issue 43, Page(s) 16414–16423

    Abstract: Urban ambient air contains a cocktail of antibiotic resistance genes (ARGs) emitted from various anthropogenic sites. However, what is largely unknown is whether the airborne ARGs exhibit site-specificity or their pathogenic hosts persistently exist in ... ...

    Abstract Urban ambient air contains a cocktail of antibiotic resistance genes (ARGs) emitted from various anthropogenic sites. However, what is largely unknown is whether the airborne ARGs exhibit site-specificity or their pathogenic hosts persistently exist in the air. Here, by retrieving 1.2 Tb metagenomic sequences (
    MeSH term(s) Genes, Bacterial ; Metagenome ; Cities ; Anti-Bacterial Agents/pharmacology ; China
    Chemical Substances Anti-Bacterial Agents
    Language English
    Publishing date 2023-10-16
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ISSN 1520-5851
    ISSN (online) 1520-5851
    DOI 10.1021/acs.est.3c02593
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: An Ion Concentration Polarization Microplatform for Efficient Enrichment and Analysis of

    Wang, Zhiying / Liu, Ming / Lin, Haocheng / Zhu, Guiying / Dong, Zaizai / Wu, Nan / Fan, Yubo / Xu, Gaolian / Chang, Lingqian / Wang, Yang

    ACS nano

    2024  Volume 18, Issue 4, Page(s) 2872–2884

    Abstract: Strategies for rapid, effective nucleic acid processing hold tremendous significance to the clinical analysis of circulating tumor DNA ( ...

    Abstract Strategies for rapid, effective nucleic acid processing hold tremendous significance to the clinical analysis of circulating tumor DNA (
    MeSH term(s) Humans ; Neoplasms/diagnosis ; Neoplasms/genetics ; Nucleic Acids ; Circulating Tumor DNA/genetics ; Carcinogenesis ; Nucleic Acid Amplification Techniques/methods
    Chemical Substances Nucleic Acids ; Circulating Tumor DNA
    Language English
    Publishing date 2024-01-18
    Publishing country United States
    Document type Journal Article
    ISSN 1936-086X
    ISSN (online) 1936-086X
    DOI 10.1021/acsnano.3c07137
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Improving Alzheimer's Disease Diagnosis With Multi-Modal PET Embedding Features by a 3D Multi-Task MLP-Mixer Neural Network.

    Zhang, Zi-Chao / Zhao, Xingzhong / Dong, Guiying / Zhao, Xing-Ming

    IEEE journal of biomedical and health informatics

    2023  Volume 27, Issue 8, Page(s) 4040–4051

    Abstract: Positron emission tomography (PET) with fluorodeoxyglucose (FDG) or florbetapir (AV45) has been proved effective in the diagnosis of Alzheimer's disease. However, the expensive and radioactive nature of PET has limited its application. Here, employing ... ...

    Abstract Positron emission tomography (PET) with fluorodeoxyglucose (FDG) or florbetapir (AV45) has been proved effective in the diagnosis of Alzheimer's disease. However, the expensive and radioactive nature of PET has limited its application. Here, employing multi-layer perceptron mixer architecture, we present a deep learning model, namely 3-dimensional multi-task multi-layer perceptron mixer, for simultaneously predicting the standardized uptake value ratios (SUVRs) for FDG-PET and AV45-PET from the cheap and widely used structural magnetic resonance imaging data, and the model can be further used for Alzheimer's disease diagnosis based on embedding features derived from SUVR prediction. Experiment results demonstrate the high prediction accuracy of the proposed method for FDG/AV45-PET SUVRs, where we achieved Pearson's correlation coefficients of 0.66 and 0.61 respectively between the estimated and actual SUVR and the estimated SUVRs also show high sensitivity and distinct longitudinal patterns for different disease status. By taking into account PET embedding features, the proposed method outperforms other competing methods on five independent datasets in the diagnosis of Alzheimer's disease and discriminating between stable and progressive mild cognitive impairments, achieving the area under receiver operating characteristic curves of 0.968 and 0.776 respectively on ADNI dataset, and generalizes better to other external datasets. Moreover, the top-weighted patches extracted from the trained model involve important brain regions related to Alzheimer's disease, suggesting good biological interpretability of our proposed method."
    MeSH term(s) Humans ; Alzheimer Disease/diagnostic imaging ; Fluorodeoxyglucose F18 ; Positron-Emission Tomography/methods ; Magnetic Resonance Imaging/methods ; Neural Networks, Computer ; Cognitive Dysfunction/diagnostic imaging
    Chemical Substances Fluorodeoxyglucose F18 (0Z5B2CJX4D)
    Language English
    Publishing date 2023-08-07
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2695320-1
    ISSN 2168-2208 ; 2168-2194
    ISSN (online) 2168-2208
    ISSN 2168-2194
    DOI 10.1109/JBHI.2023.3280823
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Highly efficient and selective photoreduction of CO

    Qin, Yaxin / Dong, Guohui / Zhang, Lizhi / Li, Guiying / An, Taicheng

    Environmental research

    2021  Volume 195, Page(s) 110880

    Abstract: Artificial photoreduction of ... ...

    Abstract Artificial photoreduction of CO
    MeSH term(s) Adsorption ; Carbon Dioxide ; Catalysis ; Light ; Nanostructures
    Chemical Substances Carbon Dioxide (142M471B3J)
    Language English
    Publishing date 2021-02-17
    Publishing country Netherlands
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 205699-9
    ISSN 1096-0953 ; 0013-9351
    ISSN (online) 1096-0953
    ISSN 0013-9351
    DOI 10.1016/j.envres.2021.110880
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Inhibitory Effect of Acetaminophen on Ocular Pigmentation and its Relationship with Thyroxine in Zebrafish Embryos.

    Wang, Huan / Kang, Guiying / Ma, Chenglong / Lian, Hua / Zhao, Kexin / Zhao, Baoquan / Feng, Yuanzhou / Dong, Wu

    Bulletin of environmental contamination and toxicology

    2024  Volume 112, Issue 2, Page(s) 39

    Abstract: Acetaminophen (N-acetyl-p-aminophenol; APAP) is one of the most widely used analgesics. To examine the toxicity of APAP, we used zebrafish embryos as model animals to detect the effect of APAP on the thyroid system of zebrafish embryos. The zebrafish ... ...

    Abstract Acetaminophen (N-acetyl-p-aminophenol; APAP) is one of the most widely used analgesics. To examine the toxicity of APAP, we used zebrafish embryos as model animals to detect the effect of APAP on the thyroid system of zebrafish embryos. The zebrafish embryos were exposed to APAP from 4 h post fertilization (4 hpf) until observation. The experimental results showed that APAP caused pericardial edema and decreased pigmentation in the zebrafish embryos or larvae. The APAP treatment caused a decrease in the expression of tpo and thrβ in the zebrafish at 36 and 72 hpf. The transcriptomic analysis found that APAP affected retinol metabolism, the metabolism of xenobiotics by cytochrome P450, and the tyrosine metabolism pathway. The harmful effect of APAP on zebrafish embryos might be due to its disrupting effect on the functional regulation of the thyroid hormone system.
    MeSH term(s) Animals ; Acetaminophen/toxicity ; Zebrafish ; Thyroxine ; Pigmentation ; Thyroid Gland ; Perciformes
    Chemical Substances Acetaminophen (362O9ITL9D) ; Thyroxine (Q51BO43MG4)
    Language English
    Publishing date 2024-02-14
    Publishing country United States
    Document type Journal Article
    ZDB-ID 6895-0
    ISSN 1432-0800 ; 0007-4861
    ISSN (online) 1432-0800
    ISSN 0007-4861
    DOI 10.1007/s00128-024-03867-0
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: N1-methylnicotinamide impairs gestational glucose tolerance in mice.

    Wei, Xiaojing / Tan, Yutian / Huang, Jiaqi / Dong, Ximing / Feng, Weijie / Liu, Tanglin / Yang, Zhao / Yang, Guiying / Luo, Xiao

    Journal of molecular endocrinology

    2024  Volume 72, Issue 2

    Abstract: N1-methylnicotinamide (MNAM), a product of methylation of nicotinamide through nicotinamide N-methyltransferase, displays antidiabetic effects in male rodents. This study aimed to evaluate the ameliorative potential of MNAM on glucose metabolism in a ... ...

    Abstract N1-methylnicotinamide (MNAM), a product of methylation of nicotinamide through nicotinamide N-methyltransferase, displays antidiabetic effects in male rodents. This study aimed to evaluate the ameliorative potential of MNAM on glucose metabolism in a gestational diabetes mellitus (GDM) model. C57BL/6N mice were fed with a high-fat diet (HFD) for 6 weeks before pregnancy and throughout gestation to establish the GDM model. Pregnant mice were treated with 0.3% or 1% MNAM during gestation. MNAM supplementation in CHOW diet and HFD both impaired glucose tolerance at gestational day 14.5 without changes in insulin tolerance. However, MNAM supplementation reduced hepatic lipid accumulation as well as mass and inflammation in visceral adipose tissue. MNAM treatment decreased GLUT4 mRNA and protein expression in skeletal muscle, where NAD+ salvage synthesis and antioxidant defenses were dampened. The NAD+/sirtuin system was enhanced in liver, which subsequently boosted hepatic gluconeogenesis. GLUT1 protein was diminished in placenta by MNAM. In addition, weight of placenta, fetus weight, and litter size were not affected by MNAM treatment. The decreased GLUT4 in skeletal muscle, boosted hepatic gluconeogenesis and dampened GLUT1 in placenta jointly contribute to the impairment of glucose tolerance tests by MNAM. Our data provide evidence for the careful usage of MNAM in treatment of GDM.
    MeSH term(s) Pregnancy ; Humans ; Female ; Male ; Mice ; Animals ; NAD ; Mice, Inbred C57BL ; Niacinamide/pharmacology ; Glucose Intolerance/metabolism ; Diabetes, Gestational/drug therapy ; Diabetes, Gestational/metabolism ; Diet, High-Fat/adverse effects ; Glucose/metabolism ; Insulin Resistance
    Chemical Substances N(1)-methylnicotinamide (UM47085BXC) ; NAD (0U46U6E8UK) ; Niacinamide (25X51I8RD4) ; Glucose (IY9XDZ35W2)
    Language English
    Publishing date 2024-01-08
    Publishing country England
    Document type Journal Article
    ZDB-ID 645012-x
    ISSN 1479-6813 ; 0952-5041
    ISSN (online) 1479-6813
    ISSN 0952-5041
    DOI 10.1530/JME-23-0126
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: Preconception folic acid supplementation for the prevention of birth defects: a prospective, population-based cohort study in mainland China.

    Zhou, Qiongjie / Dong, Guiying / Wang, Qiaomei / Shen, Haiping / Zhang, Yiping / Zhang, Shikun / Chen, Jingqi / Li, Xiaotian

    BMC pregnancy and childbirth

    2024  Volume 24, Issue 1, Page(s) 114

    Abstract: Background: Folic acid supplementation is recommended for reducing the risk of birth defects. We aimed to assess the protective association of periconception folic acid supplements with birth defects in real-world setting.: Methods: This prospective, ...

    Abstract Background: Folic acid supplementation is recommended for reducing the risk of birth defects. We aimed to assess the protective association of periconception folic acid supplements with birth defects in real-world setting.
    Methods: This prospective, population-based cohort study utilized national preconception registered data of married Chinese couples planning a pregnancy within 6 months between 2010 and 2012 in Mainland China. Participated women are freely provided folic acid starting 3 months before conception till 3 months after conception. Birth defects were self-reported at 42 days postpartumn followup. R software (v4.0.2) was applied for statistical analyses.
    Results: Complete data of 567,547 couples with pregnancy outcomes and folic acid supplementation were extracted for final analysis. A total of 74.7% women were with folic acid supplementation, and 599 birth defects were self-reported. The odd of birth defects was lower among women taking folic acid compared to their counterparts not taking (0.102% vs 0.116%, P < 0.001). In the multiple logistic regression analyses, the odd of birth defects was lower among couples with maternal folic acid supplementation (OR = 0.78, 95%CI: 0.66-0.95, P = 0.011), especially decreased odd of neural tube defects (NTDs) (OR = 0.56, 95%CI: 0.39-0.82, P = 0.003). This association was confirmed by 1:4 and 1:10 case control analysis. Odds of birth defects were significantly lower among women with folic acid supplementation more than 3 months before pregnancy (P < 0.001), and moreover, the odds of cleft (P = 0.007) and NTDs (P = 0.007) were of notable decrease.
    Conclusion: This retrospective case cohort study provides programmatic evidence for public health strategy-making to for reducing the risk of NTDs and clefts.
    MeSH term(s) Pregnancy ; Female ; Humans ; Male ; Cohort Studies ; Prospective Studies ; Retrospective Studies ; Folic Acid ; Neural Tube Defects/prevention & control ; Dietary Supplements ; China
    Chemical Substances Folic Acid (935E97BOY8)
    Language English
    Publishing date 2024-02-06
    Publishing country England
    Document type Journal Article
    ZDB-ID 2059869-5
    ISSN 1471-2393 ; 1471-2393
    ISSN (online) 1471-2393
    ISSN 1471-2393
    DOI 10.1186/s12884-024-06283-8
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: Correction: Tumor-targeting, enzyme-activated nanoparticles for simultaneous cancer diagnosis and photodynamic therapy.

    Shi, Huaxia / Sun, Wucheng / Liu, Changbing / Gu, Guiying / Ma, Bo / Si, Weili / Fu, Nina / Zhang, Qi / Huang, Wei / Dong, Xiaochen

    Journal of materials chemistry. B

    2023  Volume 11, Issue 25, Page(s) 5922

    Abstract: Correction for 'Tumor-targeting, enzyme-activated nanoparticles for simultaneous cancer diagnosis and photodynamic therapy' by Huaxia ... ...

    Abstract Correction for 'Tumor-targeting, enzyme-activated nanoparticles for simultaneous cancer diagnosis and photodynamic therapy' by Huaxia Shi
    Language English
    Publishing date 2023-06-28
    Publishing country England
    Document type Published Erratum
    ZDB-ID 2702241-9
    ISSN 2050-7518 ; 2050-750X
    ISSN (online) 2050-7518
    ISSN 2050-750X
    DOI 10.1039/d3tb90090h
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  9. Article ; Online: Comparison of clinical characteristics of first-episode thrombotic thrombocytopenic purpura and TTP-like syndrome: a retrospective cohort study in a level I hematology center in China.

    Dong, Guiying / Shi, Fang-E / Yu, Jianbo / Zhu, Jihong

    Annals of hematology

    2022  

    Abstract: Comparing the characteristics of thrombotic thrombocytopenic purpura (TTP) and TTP-like syndrome patients at admission will allow early differentiation of TTP from TTP-like syndrome and help tailor initial treatment. The medical records of 78 patients ... ...

    Abstract Comparing the characteristics of thrombotic thrombocytopenic purpura (TTP) and TTP-like syndrome patients at admission will allow early differentiation of TTP from TTP-like syndrome and help tailor initial treatment. The medical records of 78 patients with suspected TTP in the Emergency Department of Peking University People's Hospital in the past 5 years were retrospectively analyzed and divided into TTP and TTP-like syndrome groups based on ADAMTS13 activity and ADAMTS13 antibody titer. There were 25 and 53 patients in the TTP group and the TTP-like syndrome group, respectively. The neutrophil-to-lymphocyte ratio (P = 0.025) was tremendously higher, and albumin (P = 0.002) was lower in the TTP-like syndrome group, indicating a more severe inflammation. Compared with the TTP-like syndrome group, the TTP group had an approximately two-fold to three-fold higher prevalence of central nervous system dysfunction (P < 0.001). Also, hemolysis was more substantial in the TTP group as evidenced by higher schistocytes (P < 0.001), reticulocyte (P < 0.001), total bilirubin (P = 0.002), indirect bilirubin (P < 0.001), lactate dehydrogenase (P = 0.007) and cell-free hemoglobin (P < 0.001), simultaneously lower platelet (P < 0.001), haptoglobin (P = 0.044), and ADAMTS13 activity (P < 0.001). The Kaplan-Meier survival analysis showed that the TTP group significantly predicted poor prognosis (log-rank test: X
    Language English
    Publishing date 2022-11-17
    Publishing country Germany
    Document type Journal Article
    ZDB-ID 1064950-5
    ISSN 1432-0584 ; 0939-5555 ; 0945-8077
    ISSN (online) 1432-0584
    ISSN 0939-5555 ; 0945-8077
    DOI 10.1007/s00277-022-05030-3
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  10. Article ; Online: MorbidGCN: prediction of multimorbidity with a graph convolutional network based on integration of population phenotypes and disease network.

    Dong, Guiying / Zhang, Zi-Chao / Feng, Jianfeng / Zhao, Xing-Ming

    Briefings in bioinformatics

    2022  Volume 23, Issue 4

    Abstract: Exploring multimorbidity relationships among diseases is of great importance for understanding their shared mechanisms, precise diagnosis and treatment. However, the landscape of multimorbidities is still far from complete due to the complex nature of ... ...

    Abstract Exploring multimorbidity relationships among diseases is of great importance for understanding their shared mechanisms, precise diagnosis and treatment. However, the landscape of multimorbidities is still far from complete due to the complex nature of multimorbidity. Although various types of biological data, such as biomolecules and clinical symptoms, have been used to identify multimorbidities, the population phenotype information (e.g. physical activity and diet) remains less explored for multimorbidity. Here, we present a graph convolutional network (GCN) model, named MorbidGCN, for multimorbidity prediction by integrating population phenotypes and disease network. Specifically, MorbidGCN treats the multimorbidity prediction as a missing link prediction problem in the disease network, where a novel feature selection method is embedded to select important phenotypes. Benchmarking results on two large-scale multimorbidity data sets, i.e. the UK Biobank (UKB) and Human Disease Network (HuDiNe) data sets, demonstrate that MorbidGCN outperforms other competitive methods. With MorbidGCN, 9742 and 14 010 novel multimorbidities are identified in the UKB and HuDiNe data sets, respectively. Moreover, we notice that the selected phenotypes that are generally differentially distributed between multimorbidity patients and single-disease patients can help interpret multimorbidities and show potential for prognosis of multimorbidities.
    MeSH term(s) Humans ; Multimorbidity ; Phenotype
    Language English
    Publishing date 2022-07-02
    Publishing country England
    Document type 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/bbac255
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