Publications by authors named "Hui Chong"

Several cation graphite carbon nitrides (g-C3N4-(CH2)n-ImI+) were synthesized by chemically attaching imidazolium appended alkane chains with different lengths ( = 2, 4, 8, 12 and 16) to g-C3N4. The introduction of a cation segment potentially improved the interaction between the carbon material and Gram negative (MDR-. ) and Gram positive () bacteria as characterized by potential measurement.

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Due to the lack of blood vessels and nerves, the ability of cartilage to repair itself is limited, and the injury of articular cartilage urgently needs effective treatment. Currently, the limitation of clinical repair for cartilage defects is that it is difficult to form pure hyaline cartilage repair, and the source of cartilage tissue and cells is limited. To obtain high-purity regenerated hyaline cartilage, we proposed to construct an injectable hydrogel precursor by using human living hyaline cartilage graft (hLhCG) secreted by human chondrocytes as the dispersed phase and fibrinogen solution as the continuous phase, by double injection with thrombin, three-dimensional network hydrogel structure was formed under the action of thrombin to repair joint defects.

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The rotator cuff tendon-bone interface tissue exhibits high heterogeneity in its composition and structure, with collagen being its primary component. Here, we prepared tissue-engineered decellularized live hyaline cartilage grafts (dLHCG), this dLHCG scaffold's bioactive ECM mainly consists of collagen II, proteoglycans, and fibronectin, presenting a cartilage-like lacuna microstructure. The dLHCG scaffold loaded human amniotic mesenchymal stem cells (hAMSCs) and adipose stem cells (ADSCs) were implanted into the interface.

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Rotator cuff tear repair poses significant challenges due to the complex gradient interface structure. In the face of disease-related disruptions in the tendon-bone interface (TBI), the strategy of constructing a biomimetic scaffold is a promising avenue. A novel 3D-printed rotator cuff scaffold loaded adipose stem cells (ADSCs), bone morphogenetic protein-2 (BMP-2), and collagen type I (COL I).

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Article Synopsis
  • * Results showed that heat treatment significantly reduced the total plate count of bacteria more effectively than HPP, but both methods minimized yeast, mold, and lactic acid bacteria compared to untreated milk.
  • * HPP at 600 MPa for 5 minutes effectively extended the milk's shelf-life by three weeks without affecting its pH, color, protein, or fat content, suggesting it as a viable alternative to heat treatment.*
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Objectives: The study aimed to compare the efficacy and safety of unilateral versus bilateral percutaneous kyphoplasty (PKP) in treating osteoporotic vertebral compression fractures.

Materials And Methods: Adhering to the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines, three English-language databases were systematically reviewed: PubMed, Web of Science, and the National Library of Medicine. The search was conducted between their inception and January 1, 2023.

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Article Synopsis
  • The study aimed to compare healing outcomes for patients with venous leg ulcers treated with compression bandaging in community care versus tertiary care settings.
  • It involved 47 patients recruited from an outpatient clinic, focusing on the change in ulcer size over 12 weeks and assessing quality of life.
  • Results showed no significant differences in healing or quality of life between the two care settings, although the study had a small sample size and high dropout rate, indicating more research is needed for conclusive findings.*
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Ulcerative colitis (UC) is a chronic inflammatory bowel disease characterized by the disruption of the intestinal epithelial barrier. This study described the synthesis and characterization of CCM-Co-ZIF-8, a novel composite material with enzyme-like activities similar to catalase, peroxidase, and superoxide dismutase. CCM-Co-ZIF-8 demonstrated the ability to scavenge reactive oxygen species that play a critical role in UC pathogenesis.

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Novel antibiotics are urgently needed to combat the antibiotic-resistance crisis. We present a machine-learning-based approach to predict antimicrobial peptides (AMPs) within the global microbiome and leverage a vast dataset of 63,410 metagenomes and 87,920 prokaryotic genomes from environmental and host-associated habitats to create the AMPSphere, a comprehensive catalog comprising 863,498 non-redundant peptides, few of which match existing databases. AMPSphere provides insights into the evolutionary origins of peptides, including by duplication or gene truncation of longer sequences, and we observed that AMP production varies by habitat.

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The unique gradient structure and complex composition of osteochondral tissue pose significant challenges in defect regeneration. Restoration of tissue heterogeneity while maintaining hyaline cartilage components has been a difficulty of an osteochondral tissue graft. A novel class of multi-crosslinked polysaccharide-based three-dimensional (3D) printing inks, including decellularized natural cartilage (dNC) and nano-hydroxyapatite, was designed to create a gradient scaffold with a robust interface-binding force.

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Background: In an era of safety systems, hospital interventions to build a culture of safety deliver organisational learning methodologies for staff. Their benefits to hospital staff are unknown. We examined the literature for evidence of staff outcomes.

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This systematic review and meta-analysis aimed to evaluate the impact of prospective payment systems (PPSs) on cholecystectomy. A comprehensive literature review was conducted, examining studies published until December 2023. The review process focused on identifying research across major databases that reported critical outcomes such as length of stay (LOS), mortality, complications, admissions, readmissions, and costs following PPS for cholecystectomy.

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Purpose: This study evaluated the accuracy of the American College of Surgeons National Surgical Quality Improvement Program (ACS-NSQIP) calculator in predicting outcomes after hepatectomy for colorectal cancer (CRC) liver metastasis in a Southeast Asian population.

Methods: Predicted and actual outcomes were compared for 166 patients undergoing hepatectomy for CRC liver metastasis identified between 2017 and 2022, using receiver operating characteristic curves with area under the curve (AUC) and Brier score.

Results: The ACS-NSQIP calculator accurately predicted most postoperative complications (AUC > 0.

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Pt based organometallic photosensitizers (PSs) have emerged as novel potent photodynamic inactivation (PDI) reagents through their enhanced intersystem crossing (ISC) processes. Currently, few Pt PSs have been investigated as antibacterial materials, with relatively poor performances reported and with structure-activity relationships not well described. Herein, a pair of configurational isomers are reported of Bis-BODIPY (4,4-difluoro-boradizaindacene) embedded Pt PSs.

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Background: Pressure injuries (PIs) represent a significant healthcare challenge in Singapore among the aging population. These injuries contribute to increased morbidity, mortality, and healthcare expenditure. Existing research predominantly explores single-component interventions in hospital environments, often yielding limited success.

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Interface tissue repair requires the construction of biomaterials with integrated structures of multiple protein types. Hydrogels that modulate internal porous structures provide a 3D microenvironment for encapsulated cells, making them promise for interface tissue repair. Currently, reduction of intrinsic immunogenicity and increase of bioactive extracellular matrix (ECM) secretion are issues to be considered in these materials.

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Novel antibiotics are urgently needed to combat the antibiotic-resistance crisis. We present a machine learning-based approach to predict prokaryotic antimicrobial peptides (AMPs) by leveraging a vast dataset of 63,410 metagenomes and 87,920 microbial genomes. This led to the creation of AMPSphere, a comprehensive catalog comprising 863,498 non-redundant peptides, the majority of which were previously unknown.

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Article Synopsis
  • - The study focuses on enhancing wheat quality by modifying storage protein genes, particularly through the introduction or deletion of specific high molecular weight subunits (1Dx5 and 1Dy10) in digenic and trigenic wheat lines.
  • - Results showed that gene pyramiding improved various quality metrics, such as higher sedimentation values and better mixograph parameters, especially in trigenic lines, indicating enhanced dough elasticity and overall wheat quality.
  • - The modified wheat lines exhibited an improved protein composition, with higher Glu/Gli ratios compared to wild type samples, pointing towards significant advancements in both food safety and quality traits.
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Overexpression of classically activated macrophages (M1) subtypes and assessed reactive oxygen species (ROS) levels are often observed in patients with ulcerative colitis. At present, the treatment system of these two problems has yet to be established. Here, the chemotherapy drug curcumin (CCM) is decorated with Prussian blue analogs in a straightforward and cost-saving manner.

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A gelatin/sodium alginate-based hydrogel microsphere has been fabricated after reaction condition optimization. Macrophages (RAW246.7) and adipose mesenchymal stem cells (ADSC) have been subsequently encapsulated in the microsphere in order to construct a 3D paracrine system for wound healing treatment.

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The gut microbial communities are highly plastic throughout life, and the human gut microbial communities show spatial-temporal dynamic patterns at different life stages. However, the underlying association between gut microbial communities and time-related factors remains unclear. The lack of context-awareness, insufficient data, and the existence of batch effect are the three major issues, making the life trajection of the host based on gut microbial communities problematic.

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Acute pharyngitis (AP) is a common reason for private primary care consultations, thus providing an avenue for widespread antibiotic intake among the community. However, there is limited data on the antibiotic prescription appropriateness and resistance information in the Malaysian private primary care setting, therefore, this study aimed to investigate the prevalence of isolated viruses and bacteria, antibiotic resistance patterns, antibiotic prescription patterns and appropriateness by general practitioners (GPs) and factors affecting antibiotic resistance and antibiotic prescription patterns. To investigate, a cross-sectional study was conducted among 205 patients presenting with AP symptoms at private primary care clinics in central Malaysia from 3rd January 2016 to 30th November 2016.

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Microbial community classification enables identification of putative type and source of the microbial community, thus facilitating a better understanding of how the taxonomic and functional structure were developed and maintained. However, previous classification models required a trade-off between speed and accuracy, and faced difficulties to be customized for a variety of contexts, especially less studied contexts. Here, we introduced EXPERT based on transfer learning that enabled the classification model to be adaptable in multiple contexts, with both high efficiency and accuracy.

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Background: Microbial community samples have been accumulating at a speed faster than ever, with hundreds of thousands of samples been sequenced each year. Mining such a huge amount of multisource heterogeneous data is becoming an increasingly difficult challenge, so efficient and accurate compare and search of samples is in urgent need: faced with millions of samples in the data repository, traditional sample comparison and search approaches fall short in speed and accuracy.

Findings: Here we proposed Meta-Prism 2.

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With the rapid increase of the microbiome samples and sequencing data, more and more knowledge about microbial communities has been gained. However, there is still much more to learn about microbial communities, including billions of novel species and genes, as well as countless spatiotemporal dynamic patterns within the microbial communities, which together form the microbial dark matter. In this work, we summarized the dark matter in microbiome research and reviewed current data mining methods, especially artificial intelligence (AI) methods, for different types of knowledge discovery from microbial dark matter.

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