Displaying all 13 publications

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  1. Zhang Q, Noryati I, Cheng LH
    J Food Sci, 2008 Mar;73(2):E82-7.
    PMID: 18298729 DOI: 10.1111/j.1750-3841.2007.00627.x
    Chicken breast muscle powder (CBMP) and modified waxy cornstarch (MWCS) blends were prepared at different pH conditions (pH 4, 5, 6, 7, 8, and 9). The blends were characterized by light microscopy, frequency sweep, flow analysis, and freeze-thaw stability analysis. Light microscopy showed that the blend structure was coarse at pH conditions close to the isoelectric point of protein and became finer with increasing pH. Frequency sweep demonstrated that the blend was more liquid-like with relatively lower storage (G') and loss (G'') moduli as the pH was increased from pH 4 to pH 9. Flow analysis revealed that thixotropy behavior was evident in samples treated at pHs 4 and 5, whereas antithixotropy was shown by those adjusted to pHs 6, 7, 8, and 9. The CBMP-MWCS blends were found to show better freeze-thaw stability at pH 8 that could be attributed to the formation of a highly interactive network structure of CBMP and MWCS.
  2. Gan CY, Cheng LH, Easa AM
    J Food Sci, 2009 Mar;74(2):C141-6.
    PMID: 19323728 DOI: 10.1111/j.1750-3841.2009.01053.x
    Soy protein isolate (SPI) gels were produced using single cross-linking agents (SCLA) of microbial transglutaminase (MTG) via incubation for 5 or 24 h (SCLA-MTG). When powdered SCLA-MTG gels were heated for 2 h with ribose (R2) (2 g/100 mL), dark brown gels were formed, and these were designated as combined cross-linking agent (CCLA) gels: MTG5(R2) and MTG24(R2). The results showed that the levels of Maillard-derived browning and cross-links of MTG5(R2) and MTG24(R2) gels were significantly (P < 0.05) lower than a control gel produced without MTG (SCLA-R2) even though the percentage of ribose remaining after heating of these gels was similar, indicating that a similar amount of ribose was consumed during heating. epsilon-(gamma-glutamyl)lysine bonds formed during incubation of SPI with MTG may have reduced the free amino group of SPI to take part in the Maillard reaction; nevertheless, ribose took part in the Maillard reaction and initiated the Maillard cross-linkings within the CCLA gels.
  3. Kiang WS, Bhat R, Rosma A, Cheng LH
    Lett Appl Microbiol, 2013 Apr;56(4):251-7.
    PMID: 23278854 DOI: 10.1111/lam.12042
    In this study, the effects of thermosonication and thermal treatment on Escherichia coli O157:H7 and Salmonella Enteritidis in mango juice were investigated at 50 and 60°C. Besides, nonlethal injury of Salm. Enteritidis after both treatments was also examined. The highest inactivation was attained with thermosonication at 60°C. The inactivation rate was different for both pathogens, and Salm. Enteritidis was found to be more sensitive to thermosonication than E. coli O157:H7. Salmonella Enteritidis was recovered in all treated samples, except those subjected to more than 5-min thermosonication at 60°C. It was found that the introduction of high-intensity ultrasound enhanced the inactivation of pathogens compared to thermal treatment alone. On the other hand, Salm. Enteritidis was detected in a number of samples following incubation in universal pre-enrichment broth, but no growth was detected after incubation in mango juice.
  4. Haslinda WH, Cheng LH, Chong LC, Noor Aziah AA
    Int J Food Sci Nutr, 2009;60 Suppl 4:232-9.
    PMID: 19449278 DOI: 10.1080/09637480902915525
    Flour was prepared from peeled and unpeeled banana Awak ABB. Samples prepared were subjected to analysis for determination of chemical composition, mineral, dietary fibre, starch and total phenolics content, antioxidant activity and pasting properties. In general, flour prepared from unpeeled banana was found to show enhanced nutrition values with higher contents of mineral, dietary fibre and total phenolics. Hence, flour fortified with peel showed relatively higher antioxidant activity. On the other hand, better pasting properties were shown when banana flour was blended with peel. It was found that a relatively lower pasting temperature, peak viscosity, breakdown, final viscosity and setback were evident in a sample blended with peel.
  5. Liu C, Zhao M, Zheng Y, Cheng L, Zhang J, Tee CATH
    Langmuir, 2021 Jan 26;37(3):983-1000.
    PMID: 33443436 DOI: 10.1021/acs.langmuir.0c02758
    When two or more droplets coalesce on a superhydrophobic surface, the merged droplet can jump spontaneously from the surface without requiring any external energy. This phenomenon is defined as coalescence-induced droplet jumping and has received significant attention due to its potential applications in a variety of self-cleaning, anti-icing, antifrosting, and condensation heat-transfer enhancement uses. This article reviews the research and applications of coalescence-induced droplet jumping behavior in recent years, including the influence of droplet parameters on coalescence-induced droplet jumping, such as the droplet size, number, and initial velocity, to name a few. The main structure types and influence mechanism of the superhydrophobic substrates for coalescence-induced droplet jumping are described, and the potential application areas of coalescence-induced droplet jumping are summarized and forecasted.
  6. Yang P, Chen Y, Huang Z, Xia H, Cheng L, Wu H, et al.
    Elife, 2022 Oct 06;11.
    PMID: 36200862 DOI: 10.7554/eLife.80127
    Despite the importance of innate immunity in invertebrates, the diversity and function of innate immune cells in invertebrates are largely unknown. Using single-cell RNA-seq, we identified prohemocytes, monocytic hemocytes, and granulocytes as the three major cell-types in the white shrimp hemolymph. Our results identified a novel macrophage-like subset called monocytic hemocytes 2 (MH2) defined by the expression of certain marker genes, including Nlrp3 and Casp1. This subtype of shrimp hemocytes is phagocytic and expresses markers that indicate some conservation with mammalian macrophages. Combined, our work resolves the heterogenicity of hemocytes in a very economically important aquatic species and identifies a novel innate immune cell subset that is likely a critical player in the immune responses of shrimp to threatening infectious diseases affecting this industry.
  7. Cheng L, Wang F, Guo Y, Du Q, Zeng X, Wu Z, et al.
    Food Chem, 2025 Jan 15;463(Pt 3):141335.
    PMID: 39316909 DOI: 10.1016/j.foodchem.2024.141335
    The purpose of this paper is to investigate the potential prebiotic properties and proliferation mechanism of fermented milk-derived peptides. In this study, fermented milk-derived polypeptides were obtained by extraction, separation, and purification. The purified peptides were used to culture fecal flora in vitro, and the relative abundance and composition of the flora were analyzed by high-throughput 16S rRNA sequencing technology. The results showed that peptides can promote the proliferation of beneficial bacteria Lactococcus in the intestine and inhibit the proliferation of harmful bacteria Escherichia coli-Shigella. The amino acid sequence of polypeptide components was determined and synthesized in vitro to verify the proliferation of intestinal flora; the proliferation mechanism of peptides on Lactococcus lactis was studied using non-targeted LC-MS metabolomics technology. Five important peptides with molecular weights of 1000-2000 Da were identified by LC-MS: GRP1 (LTEEEK), GRP2 (ENDAPSPVM*K), GRP3 (ITVDDK), GRP4 (EAM*APK) and GRP5 (LPPPEK). The results showed that the peptides could affect the arginine biosynthesis pathway and the amino sugar and nucleotide sugar metabolism of Lactococcus lactis. In addition, the peptides increased the expression of organic acids and their derivatives in Lactococcus lactis. This study provides a research basis for expanding the potential sources of new prebiotics and also opens up a new idea for discovering new prebiotics in vitro.
  8. Wang X, Zhang L, Cheng L, Wang Y, Li M, Yu J, et al.
    Cancer Lett, 2024 Aug 12.
    PMID: 39142499 DOI: 10.1016/j.canlet.2024.217184
    Prostate cancer (PCa) is the second most prevalent cancer in men worldwide, presenting a significant global public health challenge that necessitates early detection and personalized treatment. Recently, non-invasive liquid biopsy methods have emerged as promising tools to provide insights into the genetic landscape of PCa and monitor disease progression, aiding decision-making at all stages. Research efforts have concentrated on identifying liquid biopsy biomarkers to improve PCa diagnosis, prognosis, and treatment prediction. This article reviews recent research advances over the last five years utilizing extracellular vesicles (EVs) as a natural biomarker library for PCa, and discusses the clinical translation of EV biomarkers, including ongoing trials and key implementation challenges. The findings underscore the transformative role of liquid biopsy, particularly EV-based biomarkers, in revolutionizing PCa diagnosis, prediction, and treatment.
  9. Grill G, Lehner B, Thieme M, Geenen B, Tickner D, Antonelli F, et al.
    Nature, 2019 05;569(7755):215-221.
    PMID: 31068722 DOI: 10.1038/s41586-019-1111-9
    Free-flowing rivers (FFRs) support diverse, complex and dynamic ecosystems globally, providing important societal and economic services. Infrastructure development threatens the ecosystem processes, biodiversity and services that these rivers support. Here we assess the connectivity status of 12 million kilometres of rivers globally and identify those that remain free-flowing in their entire length. Only 37 per cent of rivers longer than 1,000 kilometres remain free-flowing over their entire length and 23 per cent flow uninterrupted to the ocean. Very long FFRs are largely restricted to remote regions of the Arctic and of the Amazon and Congo basins. In densely populated areas only few very long rivers remain free-flowing, such as the Irrawaddy and Salween. Dams and reservoirs and their up- and downstream propagation of fragmentation and flow regulation are the leading contributors to the loss of river connectivity. By applying a new method to quantify riverine connectivity and map FFRs, we provide a foundation for concerted global and national strategies to maintain or restore them.
  10. Love RR, Hossain SM, Hussain MM, Mostafa MG, Laudico AV, Siguan SS, et al.
    Eur J Cancer, 2016 06;60:107-16.
    PMID: 27107325 DOI: 10.1016/j.ejca.2016.03.011
    PURPOSE: In premenopausal women with metastatic hormone receptor-positive breast cancer, hormonal therapy is the first-line therapy. Gonadotropin-releasing hormone analogue + tamoxifen therapies have been found to be more effective. The pattern of recurrence risk over time after primary surgery suggests that peri-operative factors impact recurrence. Secondary analyses of an adjuvant trial suggested that the luteal phase timing of surgical oophorectomy in the menstrual cycle simultaneous with primary breast surgery favourably influenced long-term outcomes.

    METHODS: Two hundred forty-nine premenopausal women with incurable or metastatic hormone receptor-positive breast cancer entered a trial in which they were randomised to historical mid-luteal or mid-follicular phase surgical oophorectomy followed by oral tamoxifen treatment. Kaplan-Meier methods, the log-rank test, and multivariable Cox regression models were used to assess overall and progression-free survival (PFS) in the two randomised groups and by hormone-confirmed menstrual cycle phase.

    RESULTS: Overall survival (OS) and PFS were not demonstrated to be different in the two randomised groups. In a secondary analysis, OS appeared worse in luteal phase surgery patients with progesterone levels <2 ng/ml (anovulatory patients; adjusted hazard ratio 1.46, 95% confidence interval [CI]: 0.89-2.41, p = 0.14) compared with those in luteal phase with progesterone level of 2 ng/ml or higher. Median OS was 2 years (95% CI: 1.7-2.3) and OS at 4 years was 26%.

    CONCLUSIONS: The history-based timing of surgical oophorectomy in the menstrual cycle did not influence outcomes in this trial of metastatic patients. ClinicalTrials.gov number NCT00293540.

    Study site: Bangladesh, The Philippines, China, Nigeria,
    Indonesia, Malaysia, Taiwan, Morocco, and Vietnam
  11. Grill G, Lehner B, Thieme M, Geenen B, Tickner D, Antonelli F, et al.
    Nature, 2019 Aug;572(7768):E9.
    PMID: 31337922 DOI: 10.1038/s41586-019-1379-9
    An Amendment to this paper has been published and can be accessed via a link at the top of the paper.
  12. Porwal P, Pachade S, Kokare M, Deshmukh G, Son J, Bae W, et al.
    Med Image Anal, 2020 01;59:101561.
    PMID: 31671320 DOI: 10.1016/j.media.2019.101561
    Diabetic Retinopathy (DR) is the most common cause of avoidable vision loss, predominantly affecting the working-age population across the globe. Screening for DR, coupled with timely consultation and treatment, is a globally trusted policy to avoid vision loss. However, implementation of DR screening programs is challenging due to the scarcity of medical professionals able to screen a growing global diabetic population at risk for DR. Computer-aided disease diagnosis in retinal image analysis could provide a sustainable approach for such large-scale screening effort. The recent scientific advances in computing capacity and machine learning approaches provide an avenue for biomedical scientists to reach this goal. Aiming to advance the state-of-the-art in automatic DR diagnosis, a grand challenge on "Diabetic Retinopathy - Segmentation and Grading" was organized in conjunction with the IEEE International Symposium on Biomedical Imaging (ISBI - 2018). In this paper, we report the set-up and results of this challenge that is primarily based on Indian Diabetic Retinopathy Image Dataset (IDRiD). There were three principal sub-challenges: lesion segmentation, disease severity grading, and localization of retinal landmarks and segmentation. These multiple tasks in this challenge allow to test the generalizability of algorithms, and this is what makes it different from existing ones. It received a positive response from the scientific community with 148 submissions from 495 registrations effectively entered in this challenge. This paper outlines the challenge, its organization, the dataset used, evaluation methods and results of top-performing participating solutions. The top-performing approaches utilized a blend of clinical information, data augmentation, and an ensemble of models. These findings have the potential to enable new developments in retinal image analysis and image-based DR screening in particular.
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