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  1. Article ; Online: Advanced Tuneable Micronanoplatforms for Sensitive and Selective Multiplexed Spectroscopic Sensing via Electro-Hydrodynamic Surface Molecular Lithography.

    Gomes, Paulo De Carvalho / Hin-Chu, Martin / Rickard, Jonathan James Stanley / Goldberg Oppenheimer, Pola

    Advanced science (Weinheim, Baden-Wurttemberg, Germany)

    2024  Volume 11, Issue 12, Page(s) e2306068

    Abstract: Micro- and nanopatterning of materials, one of the cornerstones of emerging technologies, has transformed research capabilities in lab-on-a-chip diagnostics. Herein, a micro- and nanolithographic method is developed, enabling structuring materials at the ...

    Abstract Micro- and nanopatterning of materials, one of the cornerstones of emerging technologies, has transformed research capabilities in lab-on-a-chip diagnostics. Herein, a micro- and nanolithographic method is developed, enabling structuring materials at the submicron scale, which can, in turn, accelerate the development of miniaturized platform technologies and biomedical sensors. Underpinning it is the advanced electro-hydrodynamic surface molecular lithography, via inducing interfacial instabilities produces micro- and nanostructured substrates, uniquely integrated with synthetic surface recognition. This approach enables the manufacture of design patterns with tuneable feature sizes, which are functionalized via synthetic nanochemistry for highly sensitive, selective, rapid molecular sensing. The development of a high-precision piezoelectric lithographic rig enables reproducible substrate fabrication with optimum signal enhancement optimized for functionalization with capture molecules on each micro- and nanostructured array. This facilitates spatial separation, which during the spectroscopic sensing, enables multiplexed measurement of target molecules, establishing the detection at minute concentrations. Subsequently, this nano-plasmonic lab-on-a-chip combined with the unconventional computational classification algorithm and surface enhanced Raman spectroscopy, aimed to address the challenges associated with timely point-of-care detection of disease-indicative biomarkers, is utilized in validation assay for multiplex detection of traumatic brain injury indicative glycan biomarkers, demonstrating straightforward and cost-effective micro- and nanoplatforms for accurate detection.
    MeSH term(s) Hydrodynamics ; Spectrum Analysis, Raman/methods ; Nanostructures/chemistry ; Lab-On-A-Chip Devices ; Biomarkers
    Chemical Substances Biomarkers
    Language English
    Publishing date 2024-01-15
    Publishing country Germany
    Document type Journal Article
    ZDB-ID 2808093-2
    ISSN 2198-3844 ; 2198-3844
    ISSN (online) 2198-3844
    ISSN 2198-3844
    DOI 10.1002/advs.202306068
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Pathogenicity of SARS‐CoV‐2 Omicron

    Hin Chu / Kwok‐Yung Yuen

    Clinical and Translational Medicine, Vol 12, Iss 5, Pp n/a-n/a (2022)

    2022  

    Keywords Medicine (General) ; R5-920
    Language English
    Publishing date 2022-05-01T00:00:00Z
    Publisher Wiley
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  3. Article ; Online: Pathogenicity of SARS-CoV-2 Omicron.

    Chu, Hin / Yuen, Kwok-Yung

    Clinical and translational medicine

    2022  Volume 12, Issue 5, Page(s) e880

    MeSH term(s) COVID-19 ; Humans ; Mutation ; SARS-CoV-2 ; Virulence
    Language English
    Publishing date 2022-05-11
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2697013-2
    ISSN 2001-1326 ; 2001-1326
    ISSN (online) 2001-1326
    ISSN 2001-1326
    DOI 10.1002/ctm2.880
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Pathogenicity of SARS-CoV-2 Omicron BA.1.1 in hamsters.

    Chan, Jasper Fuk-Woo / Chu, Hin

    EBioMedicine

    2022  Volume 80, Page(s) 104035

    MeSH term(s) Animals ; COVID-19 ; Cricetinae ; Humans ; Lung ; Mesocricetus ; SARS-CoV-2 ; Virulence
    Language English
    Publishing date 2022-04-28
    Publishing country Netherlands
    Document type Journal Article ; Comment
    ZDB-ID 2851331-9
    ISSN 2352-3964
    ISSN (online) 2352-3964
    DOI 10.1016/j.ebiom.2022.104035
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Development and application of an optimised Bayesian shrinkage prior for spectroscopic biomedical diagnostics.

    Chu, Hin On / Buchan, Emma / Smith, David / Goldberg Oppenheimer, Pola

    Computer methods and programs in biomedicine

    2024  Volume 245, Page(s) 108014

    Abstract: Background and objective: Classification of vibrational spectra is often challenging for biological substances containing similar molecular bonds, interfering with spectral outputs. To address this, various approaches are widely studied. However, whilst ...

    Abstract Background and objective: Classification of vibrational spectra is often challenging for biological substances containing similar molecular bonds, interfering with spectral outputs. To address this, various approaches are widely studied. However, whilst providing powerful estimations, these techniques are computationally extensive and frequently overfit the data. Shrinkage priors, which favour models with relatively few predictor variables, are often applied in Bayesian penalisation techniques to avoid overfitting.
    Methods: Using the logit-normal continuous analogue of the spike-and-slab (LN-CASS) as the shrinkage prior and modelling, we have established classification for accurate analysis, with the established system found to be faster than conventional least absolute shrinkage and selection operator, horseshoe or spike-and-slab. These were examined versus coefficient data based on a linear regression model and vibrational spectra produced via density functional theory calculations. Then applied to Raman spectra from saliva to classify the sample sex.
    Results: Subsequently applied to the acquired spectra from saliva, the evaluated models exhibited high accuracy (AUC>90 %) even when number of parameters was higher than the number of observations. Analyses of spectra for all Bayesian models yielded high-classification accuracy upon cross-validation. Further, for saliva sensing, LN-CASS was found to be the only classifier with 100 %-accuracy in predicting the output based on a leave-one-out cross validation.
    Conclusions: With potential applications in aiding diagnosis from small spectroscopic datasets and are compatible with a range of spectroscopic data formats. As seen with the classification of IR and Raman spectra. These results are highly promising for emerging developments of spectroscopic platforms for biomedical diagnostic sensing systems.
    MeSH term(s) Bayes Theorem ; Spectrum Analysis ; Penicillanic Acid/analogs & derivatives
    Chemical Substances 6-chloropenicillanic acid S-sulfoxide (97729-66-3) ; Penicillanic Acid (87-53-6)
    Language English
    Publishing date 2024-01-09
    Publishing country Ireland
    Document type Journal Article
    ZDB-ID 632564-6
    ISSN 1872-7565 ; 0169-2607
    ISSN (online) 1872-7565
    ISSN 0169-2607
    DOI 10.1016/j.cmpb.2024.108014
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: A lethal mouse model using a mouse-adapted SARS-CoV-2 strain with enhanced binding to mouse ACE2 as an important platform for COVID-19 research.

    Chu, Hin / Chan, Jasper Fuk-Woo

    EBioMedicine

    2021  Volume 68, Page(s) 103406

    MeSH term(s) Animals ; COVID-19 ; Disease Models, Animal ; Humans ; Peptidyl-Dipeptidase A ; SARS-CoV-2 ; Spike Glycoprotein, Coronavirus
    Chemical Substances Spike Glycoprotein, Coronavirus ; Peptidyl-Dipeptidase A (EC 3.4.15.1)
    Language English
    Publishing date 2021-05-25
    Publishing country Netherlands
    Document type Journal Article ; Comment
    ZDB-ID 2851331-9
    ISSN 2352-3964
    ISSN (online) 2352-3964
    DOI 10.1016/j.ebiom.2021.103406
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: COVID-19 drug discovery and treatment options.

    Chan, Jasper Fuk-Woo / Yuan, Shuofeng / Chu, Hin / Sridhar, Siddharth / Yuen, Kwok-Yung

    Nature reviews. Microbiology

    2024  

    Abstract: The coronavirus disease 2019 (COVID-19) pandemic caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has caused substantial morbidity and mortality, and serious social and economic disruptions worldwide. Unvaccinated or incompletely ... ...

    Abstract The coronavirus disease 2019 (COVID-19) pandemic caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has caused substantial morbidity and mortality, and serious social and economic disruptions worldwide. Unvaccinated or incompletely vaccinated older individuals with underlying diseases are especially prone to severe disease. In patients with non-fatal disease, long COVID affecting multiple body systems may persist for months. Unlike SARS-CoV and Middle East respiratory syndrome coronavirus, which have either been mitigated or remained geographically restricted, SARS-CoV-2 has disseminated globally and is likely to continue circulating in humans with possible emergence of new variants that may render vaccines less effective. Thus, safe, effective and readily available COVID-19 therapeutics are urgently needed. In this Review, we summarize the major drug discovery approaches, preclinical antiviral evaluation models, representative virus-targeting and host-targeting therapeutic options, and key therapeutics currently in clinical use for COVID-19. Preparedness against future coronavirus pandemics relies not only on effective vaccines but also on broad-spectrum antivirals targeting conserved viral components or universal host targets, and new therapeutics that can precisely modulate the immune response during infection.
    Language English
    Publishing date 2024-04-15
    Publishing country England
    Document type Journal Article ; Review
    ZDB-ID 2139054-X
    ISSN 1740-1534 ; 1740-1526
    ISSN (online) 1740-1534
    ISSN 1740-1526
    DOI 10.1038/s41579-024-01036-y
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: Pathogenicity of SARS-CoV-2 Omicron BA.1.1 in hamsters

    Jasper Fuk-Woo Chan / Hin Chu

    EBioMedicine, Vol 80, Iss , Pp 104035- (2022)

    2022  

    Keywords Medicine ; R ; Medicine (General) ; R5-920
    Language English
    Publishing date 2022-06-01T00:00:00Z
    Publisher Elsevier
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  9. Article ; Online: Animal models in SARS-CoV-2 research.

    Chu, Hin / Chan, Jasper Fuk-Woo / Yuen, Kwok-Yung

    Nature methods

    2022  Volume 19, Issue 4, Page(s) 392–394

    MeSH term(s) Animals ; COVID-19 ; Disease Models, Animal ; SARS-CoV-2
    Language English
    Publishing date 2022-04-08
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2169522-2
    ISSN 1548-7105 ; 1548-7091
    ISSN (online) 1548-7105
    ISSN 1548-7091
    DOI 10.1038/s41592-022-01447-w
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: The impact of COVID-19 restrictions on motorcycle crashes in Taiwan.

    Siu, Wing Hin Stanford / Peng, Wei-Sheng / Chen, Wei-Min / See, Lai-Chu

    Medicine

    2024  Volume 103, Issue 16, Page(s) e37901

    Abstract: Taiwan is one of the countries with the highest motorcycle per capita globally, and motorcycle crashes are predominant among traffic crashes. This study examines the impact of coronavirus disease 2019 restrictions on motorcycle crashes. We analyzed the ... ...

    Abstract Taiwan is one of the countries with the highest motorcycle per capita globally, and motorcycle crashes are predominant among traffic crashes. This study examines the impact of coronavirus disease 2019 restrictions on motorcycle crashes. We analyzed the trend of motorcycle crashes in Taipei City from 2019 to 2020 using the dataset provided by the Department of Transportation, Taipei City Government, Taiwan. We found 47,108 and 51,441 motorcycle crashes in 2019 and 2020, involving 61,141 and 67,093 motorcycles, respectively. Mopeds had the highest risk in 2020, followed by heavy motorcycles [≥550 cubic capacity (cc)] and scooters compared to 2019. Food delivery motorcycle crashes increased for scooters (0.93% in 2019 to 3.45% in 2020, P < .0001) and heavy motorcycles (250 < cc < 550) (0.90% in 2019 to 3.38% in 2020, P < .0001). While fatalities remained under 1%, 30% to 51% of motorcyclists sustained injuries. Food delivery with scooters or heavy motorcycles (250 < cc < 550) was significantly associated with motorcyclist injuries and deaths. Compared with 2019, the adjusted odds ratios of motorcyclist injuries and deaths in 2020 were 1.43 (95% confidence interval = 1.05-1.94) for heavy motorcycles (≥550 cc) and 1.07 (95% confidence interval = 1.04-1.09) for scooters. This study shows that coronavirus disease 2019 restrictions was associated with elevated risks of crashes, injuries, and deaths among motorcyclists, reflecting the general preference for private transport over public transport. The popularity of food delivery services also contributed to increased motorcycle crashes.
    MeSH term(s) Humans ; Accidents, Traffic ; Motorcycles ; Taiwan/epidemiology ; COVID-19/epidemiology
    Language English
    Publishing date 2024-04-19
    Publishing country United States
    Document type Journal Article
    ZDB-ID 80184-7
    ISSN 1536-5964 ; 0025-7974
    ISSN (online) 1536-5964
    ISSN 0025-7974
    DOI 10.1097/MD.0000000000037901
    Database MEDical Literature Analysis and Retrieval System OnLINE

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