Publications by authors named "A Wong"

6,279 Publications

High Utilization of Composite Magnesium Metal Anodes Enabled by a Magnesiophilic Coating.

Nano Lett 2022 Aug 10. Epub 2022 Aug 10.

Institute of Materials Research and Engineering, Agency for Science, Technology and Research (A*STAR), 2 Fusionopolis Way, Innovis, Singapore 138634, Singapore.

Metallic magnesium is a promising high-capacity anode material for energy storage technologies beyond lithium-ion batteries. However, most reported Mg metal anodes are only cyclable under shallow cycling (≤1 mAh cm) and thus poor Mg utilization (<3%) conditions, significantly compromising their energy-dense characteristic. Herein, composite Mg metal anodes with high capacity utilization of 75% are achieved by coating magnesiophilic gold nanoparticles on copper foils for the first time. Benefiting from homogeneous ionic flux and uniform deposition morphology, the Mg-plated Au-Cu electrode exhibits high average Coulombic efficiency of 99.16% over 170 h cycling at 75% Mg utilization. Moreover, the full cell based on Mg-plated Au-Cu anode and MoS cathode achieves superior capacity retention of 80% after 300 cycles at a low negative/positive ratio of 1.33. This work provides a simple yet effective general strategy to enhance Mg utilization and reversibility, which can be extended to other metal anodes as well.
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http://dx.doi.org/10.1021/acs.nanolett.2c02829DOI Listing
August 2022

At the heart of the problem: congestive cardiac failure as a cause of ascites: A narrative review.

Medicine (Baltimore) 2022 Aug;101(31):e29951

Department of Emergency Medicine, New Taipei Municipal Tucheng Hospital, New Taipei City, Taiwan.

Heart failure leading to cardiac ascites is an extremely rare and underrecognized entity in clinical practice. Recognizing cardiac ascites can be difficult, especially since patients presenting with ascites may have more than 1 etiology. Various biomarkers are available to aid in the diagnosis of cardiac ascites, though with differing sensitivities and specificities. Such biomarkers include serum albumin, ascitic albumin and protein, as well as serum N-terminal pro-brain natriuretic peptide (NT-proBNP). While serum NT-proBNP is a powerful biomarker in distinguishing the etiology of ascites and monitoring treatment progression, its cost can be prohibitive in low-resource settings. Clinicians practicing under these circumstances may opt to rely on other parameters to manage their patients. We go on further to report a series of 3 patients with cardiac ascites to illustrate how these biomarkers may be employed in the management of this patient population. Clinicians should always keep in mind the differential diagnosis of cardiac failure as a cause of ascites. The resolution of cardiac ascites may serve as a surrogate clinical marker for response to antifailure therapy in lieu of NT-proBNP at resource-scarce centers.
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http://dx.doi.org/10.1097/MD.0000000000029951DOI Listing
August 2022

Development of a novel peptide to prevent entry of SARS-CoV-2 into lung and olfactory bulb cells of hACE2 expressing mice.

Mol Brain 2022 Aug 9;15(1):71. Epub 2022 Aug 9.

Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, 250 College Street, Toronto, ON, M5T 1R8, Canada.

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is a novel coronavirus that has caused a global pandemic Coronavirus Disease 2019 (COVID-19). Currently, there are no effective treatments specifically for COVID-19 infection. The initial step in SARS-CoV-2 infection is attachment to the angiotensin-converting enzyme 2 (ACE2) on the cell surface. We have developed a protein peptide that effectively disrupts the binding between the SARS-CoV-2 spike protein and ACE2. When delivered by nasal spray, our peptide prevents SARS-CoV-2 spike protein from entering lung and olfactory bulb cells of mice expressing human ACE2. Our peptide represents a potential novel treatment and prophylaxis against COVID-19.
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http://dx.doi.org/10.1186/s13041-022-00956-1DOI Listing
August 2022

Cancer-Net SCa: tailored deep neural network designs for detection of skin cancer from dermoscopy images.

BMC Med Imaging 2022 Aug 9;22(1):143. Epub 2022 Aug 9.

Vision and Image Processing Research Group, University of Waterloo, Waterloo, Canada.

Background: Skin cancer continues to be the most frequently diagnosed form of cancer in the U.S., with not only significant effects on health and well-being but also significant economic costs associated with treatment. A crucial step to the treatment and management of skin cancer is effective early detection with key screening approaches such as dermoscopy examinations, leading to stronger recovery prognoses. Motivated by the advances of deep learning and inspired by the open source initiatives in the research community, in this study we introduce Cancer-Net SCa, a suite of deep neural network designs tailored for the detection of skin cancer from dermoscopy images that is open source and available to the general public. To the best of the authors' knowledge, Cancer-Net SCa comprises the first machine-driven design of deep neural network architectures tailored specifically for skin cancer detection, one of which leverages attention condensers for an efficient self-attention design.

Results: We investigate and audit the behaviour of Cancer-Net SCa in a responsible and transparent manner through explainability-driven performance validation. All the proposed designs achieved improved accuracy when compared to the ResNet-50 architecture while also achieving significantly reduced architectural and computational complexity. In addition, when evaluating the decision making process of the networks, it can be seen that diagnostically relevant critical factors are leveraged rather than irrelevant visual indicators and imaging artifacts.

Conclusion: The proposed Cancer-Net SCa designs achieve strong skin cancer detection performance on the International Skin Imaging Collaboration (ISIC) dataset, while providing a strong balance between computation and architectural efficiency and accuracy. While Cancer-Net SCa is not a production-ready screening solution, the hope is that the release of Cancer-Net SCa in open source, open access form will encourage researchers, clinicians, and citizen data scientists alike to leverage and build upon them.
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http://dx.doi.org/10.1186/s12880-022-00871-wDOI Listing
August 2022

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Mol Pharmacol 2022 Aug 9. Epub 2022 Aug 9.

Illawarra Health & Medical Research Institute, University of Wollongong, Australia

The analgesic α-conotoxins Vc1.1, RgIA, and PeIA attenuate nociceptive transmission via activation of G protein-coupled GABA receptors (GABAR) to modulate N-type calcium channels in primary afferent neurons and recombinantly co-expressed human GABAR and Cav2.2 channels in HEK293T cells. Here, we investigated the effects of analgesic α-conotoxins following the mutation of amino acid residues in the Venus Flytrap (VFT) domains of the GABAR subunits predicted through computational peptide docking and molecular dynamics simulations. Our docking calculations predicted that all three of the α-conotoxins form close contacts with VFT residues in both B1 and B2 subunits, comprising a novel GABAR ligand-binding site. The effects of baclofen and α-conotoxins on the peak Ba current (I) amplitude were investigated on wild-type and 15 GABAR mutants individually co-expressed with human Cav2.2 channels. Mutations at the interface of the VFT domains of both GABAR subunits attenuated baclofen-sensitive I inhibition by the analgesic α-conotoxins. In contrast, mutations located outside the putative peptide-binding site (D380A and R98A) did not. The key GABAR residues involved in interactions with the α-conotoxins are K168 and R207 on the B2 subunit and S130, S153, R162, E200, F227, and E253 on the B1 subunit. The double mutant, S130A+S153A, abolished inhibition by both baclofen and the α-conotoxins. Depolarization-activated I mediated by both wild-type and all GABAαR mutants were inhibited by the selective GABAR antagonist CGP 55845. This study identifies specific residues of GABAR involved in the binding of the analgesic α-conotoxins to the VFT domains of the GABAR. This study defines the binding site of analgesic α-conotoxins Vc1.1, RgIA, and PeIA on the human GABA receptor to activate Gi/o proteins and inhibit Cav2.2 channels. Computational docking and MD simulations of GABAR identified amino acids of the Venus flytrap (VFT) domains with which the α-conotoxins interact. GABAR alanine mutants attenuated baclofen-sensitive Cav2.2 inhibition by the α-conotoxins. We identify an allosteric binding site at the interface of the VFT domains of the GABAR subunits for the analgesic α-conotoxins.
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http://dx.doi.org/10.1124/molpharm.122.000543DOI Listing
August 2022
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