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1دورية أكاديمية
المؤلفون: Xin Jiang, Ruilong Zhou, Fengle Jiang, Yanan Yan, Zheting Zhang, Jianmin Wang
المصدر: Frontiers in Oncology, Vol 14 (2024)
مصطلحات موضوعية: liver cancer, machine learning, random forest model, LightGBM model, the progression of HCC, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282
الوصف: Liver cancer is one of the most prevalent forms of cancer worldwide. A significant proportion of patients with hepatocellular carcinoma (HCC) are diagnosed at advanced stages, leading to unfavorable treatment outcomes. Generally, the development of HCC occurs in distinct stages. However, the diagnostic and intervention markers for each stage remain unclear. Therefore, there is an urgent need to explore precise grading methods for HCC. Machine learning has emerged as an effective technique for studying precise tumor diagnosis. In this research, we employed random forest and LightGBM machine learning algorithms for the first time to construct diagnostic models for HCC at various stages of progression. We categorized 118 samples from GSE114564 into three groups: normal liver, precancerous lesion (including chronic hepatitis, liver cirrhosis, dysplastic nodule), and HCC (including early stage HCC and advanced HCC). The LightGBM model exhibited outstanding performance (accuracy = 0.96, precision = 0.96, recall = 0.96, F1-score = 0.95). Similarly, the random forest model also demonstrated good performance (accuracy = 0.83, precision = 0.83, recall = 0.83, F1-score = 0.83). When the progression of HCC was categorized into the most refined six stages: normal liver, chronic hepatitis, liver cirrhosis, dysplastic nodule, early stage HCC, and advanced HCC, the diagnostic model still exhibited high efficacy. Among them, the LightGBM model exhibited good performance (accuracy = 0.71, precision = 0.71, recall = 0.71, F1-score = 0.72). Also, performance of the LightGBM model was superior to that of the random forest model. Overall, we have constructed a diagnostic model for the progression of HCC and identified potential diagnostic characteristic gene for the progression of HCC.
وصف الملف: electronic resource
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2دورية أكاديمية
المؤلفون: Kunli Xu, Kexin Jiang, Aolin Yang, Zheting Zhang, Zhengyu Lin, Tielong Wang, Lingyun Xu, Fanyu Meng, Bei Wang
المصدر: Arabian Journal of Chemistry, Vol 17, Iss 9, Pp 105876- (2024)
مصطلحات موضوعية: Chestnuts, Sensory profile, Texture, Volatile compounds, Chemistry, QD1-999
الوصف: Chestnuts are known for their unique sensory characteristics and nutritional value. However, the changes in their sensory attributes after processing remain unclear. This study used instrumental analysis and sensory evaluation combined with multivariate statistical analysis to investigate the effect of packaging and thermal sterilization procedures on the sensory characteristics of chestnuts. The results showed that the significant variations (p
وصف الملف: electronic resource
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3دورية أكاديمية
المؤلفون: Raji Rajesh Lenin, Yi Hui Koh, Zheting Zhang, Yan Zhuang Yeo, Bhav Harshad Parikh, Ivan Seah, Wendy Wong, Xinyi Su
المصدر: International Journal of Molecular Sciences, Vol 24, Iss 10, p 8763 (2023)
مصطلحات موضوعية: mitochondrial dysfunction, age-related macular degeneration, retinal pigment epithelium, aging, clinical trials, autophagy, Biology (General), QH301-705.5, Chemistry, QD1-999
الوصف: Retinal pigment epithelial (RPE) cell dysfunction is a key driving force of AMD. RPE cells form a metabolic interface between photoreceptors and choriocapillaris, performing essential functions for retinal homeostasis. Through their multiple functions, RPE cells are constantly exposed to oxidative stress, which leads to the accumulation of damaged proteins, lipids, nucleic acids, and cellular organelles, including mitochondria. As miniature chemical engines of the cell, self-replicating mitochondria are heavily implicated in the aging process through a variety of mechanisms. In the eye, mitochondrial dysfunction is strongly associated with several diseases, including age-related macular degeneration (AMD), which is a leading cause of irreversible vision loss in millions of people globally. Aged mitochondria exhibit decreased rates of oxidative phosphorylation, increased reactive oxygen species (ROS) generation, and increased numbers of mitochondrial DNA mutations. Mitochondrial bioenergetics and autophagy decline during aging because of insufficient free radical scavenger systems, the impairment of DNA repair mechanisms, and reductions in mitochondrial turnover. Recent research has uncovered a much more complex role of mitochondrial function and cytosolic protein translation and proteostasis in AMD pathogenesis. The coupling of autophagy and mitochondrial apoptosis modulates the proteostasis and aging processes. This review aims to summarise and provide a perspective on (i) the current evidence of autophagy, proteostasis, and mitochondrial dysfunction in dry AMD; (ii) current in vitro and in vivo disease models relevant to assessing mitochondrial dysfunction in AMD, and their utility in drug screening; and (iii) ongoing clinical trials targeting mitochondrial dysfunction for AMD therapeutics.
وصف الملف: electronic resource
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4دورية أكاديمية
المؤلفون: Jacqueline Chua, Zheting Zhang, Damon Wong, Bingyao Tan, Bhavani Kulantayan, Chelvin C. A. Sng, Saima Hilal, Narayanaswamy Venketasubramanian, Boon Yeow Tan, Carol Y. Cheung, Gerhard Garhöfer, Alina Popa-Cherecheanu, Tien Yin Wong, Christopher Li-Hsian Chen, Leopold Schmetterer
المصدر: Frontiers in Aging Neuroscience, Vol 14 (2022)
مصطلحات موضوعية: age-related macular degeneration, diabetic retinopathy, cognitive impairment no dementia, Alzheimer's disease, dementia, Neurosciences. Biological psychiatry. Neuropsychiatry, RC321-571
الوصف: IntroductionAlzheimer's disease (AD) and age-related eye diseases pose an increasing burden as the world's population ages. However, there is limited understanding on the association of AD/cognitive impairment, no dementia (CIND) with age-related eye diseases.MethodsIn this cross-sectional, memory clinic-based study of multiethnic Asians aged 50 and above, participants were diagnosed as AD (n = 216), cognitive impairment, no dementia (CIND) (n = 252), and no cognitive impairment (NCI) (n = 124) according to internationally accepted criteria. Retinal photographs were graded for the presence of age-related macular degeneration (AMD) and diabetic retinopathy (DR) using standard grading systems. Multivariable-adjusted logistic regression models were used to determine the associations between neurological diagnosis and odds of having eye diseases.ResultsOver half of the adults had at least one eye disease, with AMD being the most common (60.1%; n = 356), followed by DR (8.4%; n = 50). After controlling for age, sex, race, educational level, and marital status, persons with AD were more likely to have moderate DR or worse (OR = 2.95, 95% CI = 1.15–7.60) compared with NCI. In the fully adjusted model, the neurological diagnosis was not associated with AMD (OR = 0.75, 95% CI = 0.45–1.24).ConclusionPatients with AD have an increased odds of having moderate DR or worse, which suggests that these vulnerable individuals may benefit from specific social support and screening for eye diseases.
وصف الملف: electronic resource
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5دورية أكاديمية
المؤلفون: Ali Kiani-Pouya, Leiting Li, Fatemeh Rasouli, Zheting Zhang, Jiahong Chen, Min Yu, Ayesha Tahir, Rainer Hedrich, Sergey Shabala, Heng Zhang
المصدر: Plant Stress, Vol 3, Iss , Pp 100061- (2022)
مصطلحات موضوعية: Epidermal bladder cell, Salinity stress, Quinoa, Transcriptome, Plant ecology, QK900-989
الوصف: The ability of some halophytic plants such as Chenopodium quinoa to sequester large quantities of salt into epidermal bladder cell (EBC) is considered as one of the traits conferring their salinity stress resilience. In the current study, we used mRNA-seq to characterize transcriptome differences between intact and EBC-free quinoa leaves from plants that were treated with 400 mM NaCl for 4 weeks. Employing K-means clustering on differentially expressed genes identified clusters of genes showing distinct expression patterns, indicating significant differences between quinoa leaves with or without EBCs in response to salt stress. EBC-free leaves retained most transcriptome responses to salt stress as normal intact leaves. However, specific processes such as increased DNA replication activity failed to be induced in EBC-free leaves. This correlated with reduced expression of many immune response-related genes and increased expression of multiple phytohormone signaling components. These results revealed that EBCs play a critical role in salt stress acclimation of quinoa leaves and provided important candidate genes for further mechanistic studies.
وصف الملف: electronic resource
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المؤلفون: Jane S, Lim, Merrelynn, Hong, Walter S T, Lam, Zheting, Zhang, Zhen Ling, Teo, Yong, Liu, Wei Yan, Ng, Li Lian, Foo, Daniel S W, Ting
المصدر: Current Opinion in Ophthalmology. 33:174-187
مصطلحات موضوعية: Technology, Ophthalmology, Artificial Intelligence, Privacy, Humans, General Medicine, Natural Language Processing
الوصف: The application of artificial intelligence (AI) in medicine and ophthalmology has experienced exponential breakthroughs in recent years in diagnosis, prognosis, and aiding clinical decision-making. The use of digital data has also heralded the need for privacy-preserving technology to protect patient confidentiality and to guard against threats such as adversarial attacks. Hence, this review aims to outline novel AI-based systems for ophthalmology use, privacy-preserving measures, potential challenges, and future directions of each.Several key AI algorithms used to improve disease detection and outcomes include: Data-driven, imagedriven, natural language processing (NLP)-driven, genomics-driven, and multimodality algorithms. However, deep learning systems are susceptible to adversarial attacks, and use of data for training models is associated with privacy concerns. Several data protection methods address these concerns in the form of blockchain technology, federated learning, and generative adversarial networks.AI-applications have vast potential to meet many eyecare needs, consequently reducing burden on scarce healthcare resources. A pertinent challenge would be to maintain data privacy and confidentiality while supporting AI endeavors, where data protection methods would need to rapidly evolve with AI technology needs. Ultimately, for AI to succeed in medicine and ophthalmology, a balance would need to be found between innovation and privacy.
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8e1fbdd84d6a2e13f8e588f5b01a0d30
https://doi.org/10.1097/icu.0000000000000846 -
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المؤلفون: Julia Borowicz, Zheting Zhang, Giskin Day, Mariana Pinto da Costa
مصطلحات موضوعية: COVID-19 Vaccines, Health Policy, Public Health, Environmental and Occupational Health, Humans, COVID-19, Pandemics
الوصف: The topic of inequitable vaccine distribution has been widely discussed by academics, journalists and policy-makers in the context of the COVID-19 pandemic. However, research into perceptions of vaccine equity has been particularly neglected, resulting in a lack of universal understanding of vaccine equity. To address this, we conducted a meta-narrative review on COVID-19 vaccine equity according to the Realist And MEta-narrative Evidence Syntheses: Evolving Standards (RAMESES) publication standard. The review included articles published between January 2020 and September 2021. It aims to (1) identify research traditions that have considered this topic and investigate how it has been conceptualised; (2) explore any potential differences in understandings of the concept of vaccine equity adopted by distinct research groups; and (3) investigate the angles from which authors based their recommendations on how vaccine equity can be achieved. Five meta-narratives from the literature across various research traditions are identified, contextualised and discussed: frameworks and mechanisms for vaccine allocation, global health law, vaccine nationalism, ethics and morality, and reparative justice. Our findings indicate the need for a comparative review of existing global COVID-19 allocation frameworks, with a focus on explicating understandings of vaccine equity. COVID-19 will not be the last health crisis the world confronts. Heterogeneity in the academic literature is part of the way concepts are debated and legitimised, but in the interests of global public health policy-making, it is desirable to reach a consensus on what constitutes progress on equitable development, production, distribution and research.
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::83f6e461ff6b636f70eec57ddb75d84c
http://hdl.handle.net/10044/1/100561 -
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المؤلفون: Zheting Zhang, Sean Ng Ming Sheng, John H. Kempen, Claudia Fabiani, Atul Arora, Vishali Gupta, Edmund Tsui, Luca Cimino, Richard J. Symes, Jennifer Dell, Robert P. Finger, Carsten Heinz, Rupesh Agrawal
المصدر: Ocular immunology and inflammation.
مصطلحات موضوعية: Ophthalmology, Immunology and Allergy
الوصف: Clinical registries are increasingly important in research and clinical advancement. This review explores and compares current uveitis registries and recommends future directions on how uveitis registries can complement one another for synergistic effect and benefit.From a systematic search, 861 citations were screened for longitudinal, non-interventional, and multicenter uveitis-specific registries. Additional registries were identified via consultations with uveitis experts. Characteristics of all registries were analyzed and compared.Four registries were identified: Treatment Exit Options for Non-infectious Uveitis, AutoInflammatory Disease Alliance International Registry, Ocular Autoimmune Systemic Inflammatory Infectious Study, and Fight Uveitis Blindness!. Despite certain differences, these registries have the overarching goal of collecting large quantities of real-world, high-quality patient data to improve the understanding of uveitis.The four uveitis registries share similar goals and collect clinical data from overlapping geographical regions. There is vast potential for collaboration, including data sharing to further augment datasets for analysis.
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المؤلفون: Shaobo Zhu, Jinge Gu, Juanjuan Yao, Yichen Li, Zheting Zhang, Wencheng Xia, Zhen Wang, Xinrui Gui, Leiting Li, Dan Li, Heng Zhang, Cong Liu
المصدر: Developmental Cell. 57:583-597.e6
مصطلحات موضوعية: Stress, Physiological, Arabidopsis, RNA-Binding Proteins, RNA, Messenger, Cell Biology, Cytoplasmic Granules, Molecular Biology, Heat-Shock Response, General Biochemistry, Genetics and Molecular Biology, Developmental Biology
الوصف: As sessile organisms, plants are highly sensitive to environmental stresses. In response to stresses, globally repressed translation initiation leads to stress granule (SG) formation. Protein liquid-liquid phase separation (LLPS) contributes to SG formation, but a direct link between protein LLPS and stress resistance has not yet been found in plants. Here, we report that two RNA-binding proteins, RBGD2 and RBGD4, function redundantly to improve heat resistance in Arabidopsis. RBGD2 and RBGD4 undergo LLPS in vitro and condense into heat-induced SGs in vivo via tyrosine residue array (TRA). Importantly, disrupting LLPS by mutating TRA abolishes RBGD2/4 condensation in SGs and impairs their protective function against heat stress (HS). Further study found that upon HS, the RBGD2/4 interaction network expands with additional SG proteins and heat-responsive mRNA. Our work shows a mechanistic basis that underlies protein LLPS in HS response in plants and suggests manipulation of protein LLPS as a general strategy to improve plant stress resistance.
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2d946672d45dcc3181c9aa2d8d862be4
https://doi.org/10.1016/j.devcel.2022.02.005
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