21 research outputs found

    Deep learning system to predict the 5-year risk of high myopia using fundus imaging in children

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    Our study aims to identify children at risk of developing high myopia for timely assessment and intervention, preventing myopia progression and complications in adulthood through the development of a deep learning system (DLS). Using a school-based cohort in Singapore comprising 998 children (aged 6-12 years old), we train and perform primary validation of the DLS using 7456 baseline fundus images of 1878 eyes; with external validation using an independent test dataset of 821 baseline fundus images of 189 eyes together with clinical data (age, gender, race, parental myopia, and baseline spherical equivalent (SE)). We derive three distinct algorithms - image, clinical, and mix (image + clinical) models to predict high myopia development (SE ≤ -6.00 diopter) during teenage years (5 years later, age 11-17). Model performance is evaluated using the area under the receiver operating curve (AUC). Our image models (Primary dataset AUC 0.93-0.95; Test dataset 0.91-0.93), clinical models (Primary dataset AUC 0.90-0.97; Test dataset 0.93-0.94) and mixed (image + clinical) models (Primary dataset AUC 0.97; Test dataset 0.97-0.98) achieve clinically acceptable performance. The addition of 1 year SE progression variable has minimal impact on the DLS performance (clinical model AUC 0.98 versus 0.97 in the primary dataset, 0.97 versus 0.94 in the test dataset; mixed model AUC 0.99 versus 0.97 in the primary dataset, 0.95 versus 0.98 in test dataset). Thus, our DLS allows prediction of the development of high myopia by teenage years amongst school-going children. This has potential utility as a clinical decision support tool to identify "at-risk" children for early intervention.info:eu-repo/semantics/publishedVersio

    AAV-mediated human PEDF inhibits tumor growth and metastasis in murine colorectal peritoneal carcinomatosis model

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    <p>Abstract</p> <p>Background</p> <p>Angiogenesis plays an important role in tumor growth and metastasis, therefore antiangiogenic therapy was widely investigated as a promising approach for cancer therapy. Recently, pigment epithelium-derived factor (PEDF) has been shown to be the most potent inhibitor of angiogenesis. Adeno-associated virus (AAV) vectors have been intensively studied due to their wide tropisms, nonpathogenicity, and long-term transgene expression <it>in vivo</it>. The objective of this work was to evaluate the ability of AAV-mediated human PEDF (hPEDF) as a potent tumor suppressor and a potential candidate for cancer gene therapy.</p> <p>Methods</p> <p>Recombinant AAV<sub>2 </sub>encoding hPEDF (rAAV<sub>2</sub>-hPEDF) was constructed and produced, and then was assigned for <it>in vitro </it>and <it>in vivo </it>experiments. Conditioned medium from cells infected with rAAV<sub>2</sub>-hPEDF was used for cell proliferation and tube formation tests of human umbilical vein endothelial cells (HUVECs). Subsequently, colorectal peritoneal carcinomatosis (CRPC) mouse model was established and treated with rAAV<sub>2</sub>-hPEDF. Therapeutic efficacy of rAAV<sub>2</sub>-hPEDF were investigated, including tumor growth and metastasis, survival time, microvessel density (MVD) and apoptosis index of tumor tissues, and hPEDF levels in serum and ascites.</p> <p>Results</p> <p>rAAV<sub>2</sub>-hPEDF was successfully constructed, and transmission electron microscope (TEM) showed that rAAV<sub>2</sub>-hPEDF particles were non-enveloped icosahedral shape with a diameter of approximately 20 nm. rAAV<sub>2</sub>-hPEDF-infected cells expressed hPEDF protein, and the conditioned medium from infected cells inhibited proliferation and tube-formation of HUVECs <it>in vitro</it>. Furthermore, in CRPC mouse model, rAAV<sub>2</sub>-hPEDF significantly suppressed tumor growth and metastasis, and prolonged survival time of treated mice. Immunofluorescence studies indicated that rAAV<sub>2</sub>-hPEDF could inhibit angiogenesis and induce apoptosis in tumor tissues. Besides, hPEDF levels in serum and ascites of rAAV<sub>2</sub>-hPEDF-treated mice were significant higher than those in rAAV<sub>2</sub>-null or normal saline (NS) groups.</p> <p>Conclusions</p> <p>Thus, our results suggest that rAAV<sub>2</sub>-hPEDF may be a potential candidate as an antiangiogenic therapy agent.</p

    Establishment of a Model of Microencapsulated SGC7901 Human Gastric Carcinoma Cells Cocultured with Tumor-Associated Macrophages

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    The important factors of poor survival of gastric cancer (GC) are relapse and metastasis. For further elucidation of the mechanism, a culture system mimicking the microenvironment of the tumor in humans was needed. We established a model of microencapsulated SGC7901 human GC cells and evaluated the effects of coculturing spheres with tumor-associated macrophages (TAMs). SGC7901 cells were encapsulated in alginate-polylysine-sodium alginate (APA) microcapsules using an electrostatic droplet generator. MTT assays showed that the numbers of microencapsulated cells were the highest after culturing for 14 days. Metabolic curves showed consumption of glucose and production of lactic acid by day 20. Immunocytochemistry confirmed that Proliferating Cell Nuclear Antigen (PCNA) and Vascular Endothelial Growth Factor (VEGF) were expressed in microencapsulated SGC7901 cells on days 7 and 14. The expression of PCNA was observed outside spheroids; however, VEGF was found in the entire spheroids. PCNA and VEGF were increased after being cocultured with TAMs. Matrix metalloproteinase-2 (MMP-2) and matrix metalloproteinase-9 (MMP-9) expressions were detected in the supernatant of microencapsulated cells cocultured with TAMs but not in microencapsulated cells. Our study confirms the successful establishment of the microencapsulated GC cells. TAMs can promote PCNA, VEGF, MMP-2, and MMP-9 expressions of the GC cells

    Association of neural tube defects with maternal alterations and genetic polymorphisms in one-carbon metabolic pathway

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    Abstract Background Neural tube defects (NTDs) are birth defects of the brain, spine, or spinal cord invoked by the insufficient intake of folic acid in the early stages of pregnancy and have a complex etiology involving both genetic and environmental factors. So the study aimed to explore the association between alterations in maternal one-carbon metabolism and NTDs in the offspring. Methods We conducted a case-control study to get a deeper insight into this association, as well as into the role of genetic polymorphisms. Plasma concentrations of folate, homocysteine (Hcy), S-adenosylmethionine (SAM), S-adenosylhomocysteine (SAH) and genotypes and alleles distributions of 52 SNPs in 8 genes were compared for 61 women with NTDs-affected offspring and 61 women with healthy ones. Results There were significant differences between groups with regard to plasma folate, SAM, SAH and SAM/SAH levels. Logistic regression results revealed a significant association between maternal plasma folate level and risk of NTDs in the offspring. For MTHFD1 rs2236225 polymorphism, mothers having GA genotype and A allele exhibited an increased risk of NTDs in the offspring (OR = 2.600, 95%CI: 1.227–5.529; OR = 1.847, 95%CI: 1.047–3.259). For MTHFR rs1801133 polymorphism, mothers having TT and CT genotypes were more likely to affect NTDs in the offspring (OR = 4.105, 95%CI: 1.271–13.258; OR = 3.333, 95%CI: 1.068–10.400). Moreover, mothers carrying T allele had a higher risk of NTDs in the offspring (OR = 1.798, 95%CI: 1.070–3.021). For MTRR rs1801394 polymorphism, the frequency of G allele was significantly higher in cases than in controls (OR = 1.763, 95%CI: 1.023–3.036). Mothers with NTDs-affected children had higher AG genotype in RFC1 rs1051226 polymorphism than controls, manifesting an increased risk for NTDs (OR = 3.923, 95%CI: 1.361–11.308). Conclusion Folic acid deficiency, MTHFD1 rs2236225, MTHFR rs1801133, MTRR rs1801349 and RFC1 rs1051226 polymorphisms may be maternal risk factors of NTDs

    Large-scale and high-resolution mass spectrometry-based proteomics profiling defines molecular subtypes of esophageal cancer for therapeutic targeting

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    食管癌是我国高发的恶性肿瘤。近十多年来,基因组、转录组层面的研究促进了食管癌分子机制的解析,但与其它癌症类型相比,食管癌基于基因组和转录组数据的分子分型、预后标记物及靶向治疗靶点仍颇为局限。蛋白组学分析能更深层次揭示基因组和转录组无法解密的肿瘤生物学密码,为癌症临床治疗研究开辟新方向。药学院刘文教授课题组和汕头大学医学院李恩民教授、许丽艳研究员课题组从多维组学层面全面揭示了食管癌中失调蛋白、磷酸化修饰位点及相关信号通路,发现了食管癌中具有显著生存差异的两个蛋白质组亚型,预测了针对高风险亚型的药物,并验证了药物的有效性,为指导食管癌患者的治疗决策和药物开发提供了新的思路。Esophageal cancer (EC) is a type of aggressive cancer without clinically relevant molecular subtypes, hindering the development of effective strategies for treatment. To define molecular subtypes of EC, we perform mass spectrometry-based proteomic and phosphoproteomics profiling of EC tumors and adjacent non-tumor tissues, revealing a catalog of proteins and phosphosites that are dysregulated in ECs. The EC cohort is stratified into two molecular subtypes—S1 and S2—based on proteomic analysis, with the S2 subtype characterized by the upregulation of spliceosomal and ribosomal proteins, and being more aggressive. Moreover, we identify a subtype signature composed of ELOA and SCAF4, and construct a subtype diagnostic and prognostic model. Potential drugs are predicted for treating patients of S2 subtype, and three candidate drugs are validated to inhibit EC. Taken together, our proteomic analysis define molecular subtypes of EC, thus providing a potential therapeutic outlook for improving disease outcomes in patients with EC.This work was supported by the Natural Science Foundation of China-Guangdong Joint Fund (U1601229), 2020 Li Ka Shing Foundation Cross-Disciplinary Research Grant (2020LKSFG07B) to E.L., the National Cohort of Esophageal Cancer of China (2016YFC0901400), the National Natural Science Foundation of China (81772532) to Li-Yan Xu, and the Ministry of Science and Technology of the People’s Republic of China (2020YFA0112300), National Natural Science Foundation of China (91953114, 81761128015, 81861130370, 31871319), Fujian Province Health Education Joint Research Project (WKJ2016-2-09), Xiamen Science and Technology Project (2017S0091), and the Fundamental Research Funds for the Central University (20720200002 and 20720190145) to W.L. (Wen Liu), and the Natural Science Foundation of Heilongjiang Province, China (LH2021F048) to W.L. (Wei Liu). We would like to acknowledge Rong Ding, Lei Zhang, Ya-ying Wu, Bao-ying Xie, and Jing-Ru Huang in the mass spectrometry facility of Xiamen University for providing technical assistance.该研究工作得到了科技部国家重点研发计划、国家自然科学基金-广东省联合基金重点项目以及国家自然科学基金面上项目等项目支持
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