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  1. Article: [To be professional care-givers by consolidating basic skills as key competency and grasping both general and specific medical knowledge].

    Jia, W P

    Zhonghua nei ke za zhi

    2024  Volume 63, Issue 5, Page(s) 427–429

    Language Chinese
    Publishing date 2024-05-08
    Publishing country China
    Document type English Abstract ; Journal Article
    ZDB-ID 754223-9
    ISSN 0578-1426
    ISSN 0578-1426
    DOI 10.3760/cma.j.cn112138-20240302-00138
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Improvement of hepatic steatosis and fibrosis in diabetes: Which bariatric procedure is more appropriate?

    Jia, Weiping

    Journal of diabetes investigation

    2022  Volume 13, Issue 11, Page(s) 1803–1804

    MeSH term(s) Humans ; Fatty Liver/complications ; Bariatric Surgery/methods ; Bariatrics ; Liver Cirrhosis/complications ; Liver Cirrhosis/surgery ; Diabetes Mellitus ; Non-alcoholic Fatty Liver Disease/complications
    Language English
    Publishing date 2022-08-17
    Publishing country Japan
    Document type Journal Article
    ZDB-ID 2625840-7
    ISSN 2040-1124 ; 2040-1116
    ISSN (online) 2040-1124
    ISSN 2040-1116
    DOI 10.1111/jdi.13892
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Diabetes care in China: Innovations and implications.

    Jia, Weiping

    Journal of diabetes investigation

    2022  Volume 13, Issue 11, Page(s) 1795–1797

    MeSH term(s) Humans ; Diabetes Mellitus/epidemiology ; Diabetes Mellitus/therapy ; Diffusion of Innovation ; China/epidemiology
    Language English
    Publishing date 2022-09-19
    Publishing country Japan
    Document type Editorial
    ZDB-ID 2625840-7
    ISSN 2040-1124 ; 2040-1116
    ISSN (online) 2040-1124
    ISSN 2040-1116
    DOI 10.1111/jdi.13908
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Brown goat yogurt: Metabolomics, peptidomics, and sensory changes during production.

    Zhang, R / Jia, W

    Journal of dairy science

    2022  Volume 106, Issue 3, Page(s) 1712–1733

    Abstract: Brown goat milk products have gained popularity for their unique taste and flavor. The emergence of chain-reversal phenomenon makes the design and development of goat milk products gradually tend to a consumer-oriented model. However, the precise ... ...

    Abstract Brown goat milk products have gained popularity for their unique taste and flavor. The emergence of chain-reversal phenomenon makes the design and development of goat milk products gradually tend to a consumer-oriented model. However, the precise mechanism of how browning and fermentation process causes characteristics is not clear. In an effort to understand how the treatments potentially lead to certain metabolite profile changes in goat milk, comprehensive, quantitative metabolomics and peptidomics analysis of goat milk samples after browning and fermentation were undertaken. An intelligent hybrid z-score standardization-principal components algorithm-multimodal denoizing autoencoder was used for feature fusion and hidden layer fusion in high-dimensional variable space. The fermentation process significantly improved the flavor of brown goat yogurt through the tricarboxylic acid-urea-glycolysis composite pathway. Bitter peptides HPFLEWAR, PPGLPDKY, and PPPPPKK have strong interactions with both putative dipeptidyl peptidase IV and angiotensin-converting enzyme, proving that brown goat yogurt can be considered as effective provider of potential putative dipeptidyl peptidase IV and angiotensin-converting enzyme inhibitors. The level of health-promoting bioactive components and sensory contributed to consumer selection. The proposed multimodal data integrative analysis platform was applicable to explain the effect of the dynamic changes of metabolites and peptides on consumer preferences.
    MeSH term(s) Animals ; Dipeptidyl Peptidase 4 ; Yogurt/analysis ; Goats ; Milk ; Taste ; Fermentation
    Chemical Substances Dipeptidyl Peptidase 4 (EC 3.4.14.5)
    Language English
    Publishing date 2022-12-29
    Publishing country United States
    Document type Journal Article
    ZDB-ID 242499-x
    ISSN 1525-3198 ; 0022-0302
    ISSN (online) 1525-3198
    ISSN 0022-0302
    DOI 10.3168/jds.2022-22654
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article: [Prevention and control of chronic diseases under new situation and with new perspectives].

    Jia, W P

    Zhonghua nei ke za zhi

    2022  Volume 61, Issue 1, Page(s) 1–3

    MeSH term(s) Chronic Disease ; Humans
    Language Chinese
    Publishing date 2022-01-03
    Publishing country China
    Document type Journal Article
    ZDB-ID 754223-9
    ISSN 0578-1426
    ISSN 0578-1426
    DOI 10.3760/cma.j.cn112138-20211124-00843
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  6. Article ; Online: Supramolecular self-assembly strategies of natural-based β-lactoglobulin modulating bitter perception of goat milk-derived bioactive peptides.

    Zhang, Rong / Jia, Wei

    Journal of dairy science

    2024  

    Abstract: Complete self-assembly and reassembly behavior of bitter peptide-protein necessitates multilevel theories that encompass phenomena ranging from the self-assembly of recombinant complex to atomic trajectories. An extension to the level of mechanism method ...

    Abstract Complete self-assembly and reassembly behavior of bitter peptide-protein necessitates multilevel theories that encompass phenomena ranging from the self-assembly of recombinant complex to atomic trajectories. An extension to the level of mechanism method was put forth, involves limited enzymatic digestion and bottom-up proteomics to dissect inherent heterogeneity within β-lactoglobulin and β-lactoglobulin-PPGLPDKY complex and uncover conformational and dynamic alterations occurring in specific local regions of the model protein. Bitter peptide PPGLPDKY spontaneously bound to IIAEKTK, IDALNENK, and YLLFCMENSAEPEQSLACQCLVR regions of β-lactoglobulin in 1:1 stoichiometric ratio to mask bitterness perception. Molecular dynamic simulation and free energy calculation provided time-varying atomic trajectories of the recombinant complex, and found that peptide was stabilized in the upper region of the hydrophobic cavity with the binding free energy of -30.56 kJ mol
    Language English
    Publishing date 2024-02-02
    Publishing country United States
    Document type Journal Article
    ZDB-ID 242499-x
    ISSN 1525-3198 ; 0022-0302
    ISSN (online) 1525-3198
    ISSN 0022-0302
    DOI 10.3168/jds.2023-24386
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  7. Article ; Online: Selenium Decipher: Trapping of Native Selenomethionine-Containing Peptides in Selenium-Enriched Milk and Unveiling the Deterioration after Ultrahigh-Temperature Treatment.

    Wu, Xixuan / Jia, Wei

    Analytical chemistry

    2024  Volume 96, Issue 3, Page(s) 1156–1166

    Abstract: Selenopeptide identification relies on databases to interpret the selenopeptide spectra. A common database search strategy is to set selenium as a variable modification instead of sulfur on peptides. However, this approach generally detects only a ... ...

    Abstract Selenopeptide identification relies on databases to interpret the selenopeptide spectra. A common database search strategy is to set selenium as a variable modification instead of sulfur on peptides. However, this approach generally detects only a fraction of selenopeptides. An alternative approach, termed Selenium Decipher, is proposed in the present study. It involves identifying collision-induced dissociation-cleavable selenomethionine-containing peptides by iteratively matching the masses of seleno-amino acids in selenopeptide spectra. This approach uses variable-data-independent acquisition (vDIA) for peptide detection, providing a flexible and customizable window for secondary mass spectral fragmentation. The attention mechanism was used to capture global information on peptides and determine selenomethionine-containing peptide backbones. The core structure of selenium on selenomethionine-containing peptides generates a series of fragment ions, namely, C
    MeSH term(s) Animals ; Cattle ; Selenomethionine/analysis ; Selenomethionine/chemistry ; Selenomethionine/metabolism ; Selenium/chemistry ; Milk/chemistry ; Temperature ; Peptides/chemistry
    Chemical Substances Selenomethionine (964MRK2PEL) ; Selenium (H6241UJ22B) ; Peptides
    Language English
    Publishing date 2024-01-08
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 1508-8
    ISSN 1520-6882 ; 0003-2700
    ISSN (online) 1520-6882
    ISSN 0003-2700
    DOI 10.1021/acs.analchem.3c04247
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: Atom-photon dressed states in a waveguide-QED system with multiple giant atoms.

    Jia, W Z / Yu, M T

    Optics express

    2024  Volume 32, Issue 6, Page(s) 9495–9511

    Abstract: We study the properties of bound states in waveguide-QED systems consisting of multiple giant atoms coupled to a coupled-resonator waveguide. Based on the general analytical expressions for these states and the corresponding energy spectra, we analyze in ...

    Abstract We study the properties of bound states in waveguide-QED systems consisting of multiple giant atoms coupled to a coupled-resonator waveguide. Based on the general analytical expressions for these states and the corresponding energy spectra, we analyze in detail the threshold conditions for the appearance of bound states and the photon-mediated interactions between dressed atoms for different configurations. In addition, when multiple giant atoms are coupled to the waveguide, different types of interacting atomic chain can be obtained by manipulating the coupling configurations. Accordingly, the energy spectra of the bound states form metaband structures in the photonic band gaps. This makes the system a useful platform for quantum simulation and quantum information processing.
    Language English
    Publishing date 2024-04-03
    Publishing country United States
    Document type Journal Article
    ZDB-ID 1491859-6
    ISSN 1094-4087 ; 1094-4087
    ISSN (online) 1094-4087
    ISSN 1094-4087
    DOI 10.1364/OE.518325
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: 3D-MPEA: A Graph Attention Model-Guided Computational Approach for Annotating Unknown Metabolites in Interactomics via Mass Spectrometry-Focused Multilayer Molecular Networking.

    Fan, Zibian / Jia, Wei

    Analytical chemistry

    2024  Volume 96, Issue 19, Page(s) 7532–7541

    Abstract: The spectral matching strategy of MS2 fragment spectrograms serves as a ubiquitous method for compound characterization within the matrix. Nevertheless, challenges arise due to the deficiency of distinctions in spectra across instruments caused by ... ...

    Abstract The spectral matching strategy of MS2 fragment spectrograms serves as a ubiquitous method for compound characterization within the matrix. Nevertheless, challenges arise due to the deficiency of distinctions in spectra across instruments caused by coelution peak-derived fragments and incompleteness of the current spectral reference database, leading to dilemma of multidimensional omics annotation. The graph attention model embedded with long short-term memory was proposed as an optimized approach involving integrating similar MS2 spectra into molecular networks according to the isotopic ion peak cluster spacing features to collapse diverse ion species and expand the spectral reference library, which efficiently evaluated the substance capture capacity to 123.1% than classic substance perception tactics. The versatility and utility of the established annotation procedure were showcased in a study on the stimulation of pork mediated by 2,2-bis(4-hydroxyphenyl)propane and enabled the global metabolite annotation from knowns to unknowns at metabolite-lipid-protein level. On the spectra for which in silico extended spectral library search provided a group truth, 83.5-117.1% accuracy surpassed 1.2-14.3% precision after manual validation. β-Ala-His dipeptidase was first evidenced as the critical node related to the transformation of α-helical (36.57 to 35.74%) to random coil (41.53 to 42.36%) mediated by 2,2-bis(4-hydroxyphenyl)propane, ultimately triggering an augment of catalytic performance, inducing a series of oxidative stress, and further intervening in the availability of animal-derived substrates. The integration of ionic fragment feature networks and long short-term memory models allows the effective annotation of recurrent unknowns in organisms and the deciphering of unacquainted matter in multiomics.
    MeSH term(s) Animals ; Swine ; Mass Spectrometry ; Metabolomics/methods
    Language English
    Publishing date 2024-05-03
    Publishing country United States
    Document type Journal Article
    ZDB-ID 1508-8
    ISSN 1520-6882 ; 0003-2700
    ISSN (online) 1520-6882
    ISSN 0003-2700
    DOI 10.1021/acs.analchem.4c00256
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  10. Article ; Online: High-confidence structural annotation of substances via multi-layer molecular network reveals the system-wide constituent alternations in milk interfered with diphenylolpropane.

    Fan, Zibian / Jia, Wei

    Journal of hazardous materials

    2024  Volume 471, Page(s) 134334

    Abstract: The spectral database-based mass spectrometry (MS) matching strategy is versatile for structural annotating in ingredient fluctuation profiling mediated by external interferences. However, the systematic variability of MS pool attributable to aliasing ... ...

    Abstract The spectral database-based mass spectrometry (MS) matching strategy is versatile for structural annotating in ingredient fluctuation profiling mediated by external interferences. However, the systematic variability of MS pool attributable to aliasing peaks and inadequacy of present spectral database resulted in a substantial metabolic feature depletion. An amended procedure termed multiple-charges overlap peaks extraction algorithm (MCOP) was proposed involving identifying collision-trigged dissociation precursor ions through iteratively matching mass features of fragmentations to expand the spectral reference library. We showcased the versatility and utility of established strategy in an investigation centered on the stimulation of milk mediated by diphenylolpropane (BPA). MCOP enabled efficient unknown annotations at metabolite-lipid-protein level, which elevated the accuracy of substance annotation to 85.3% after manual validation. Arginase and α-amylase (|r| > 0.75, p < 0.05) were first identified as the crucial issues via graph neural network-based virtual screening in the abnormal metabolism of urea triggered by BPA, resulting in the accumulation of arginine (original: 1.7 μg kg
    MeSH term(s) Milk/chemistry ; Animals ; Algorithms ; alpha-Amylases/metabolism ; Neural Networks, Computer ; Mass Spectrometry ; Urea/chemistry ; Arginine/chemistry ; Food Contamination/analysis
    Chemical Substances alpha-Amylases (EC 3.2.1.1) ; Urea (8W8T17847W) ; Arginine (94ZLA3W45F)
    Language English
    Publishing date 2024-04-17
    Publishing country Netherlands
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 1491302-1
    ISSN 1873-3336 ; 0304-3894
    ISSN (online) 1873-3336
    ISSN 0304-3894
    DOI 10.1016/j.jhazmat.2024.134334
    Database MEDical Literature Analysis and Retrieval System OnLINE

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