Article
Developmental Biology
Marta Bastos de Oliveira, Katja Meier, Simone Jung, Eireen Bartels-Klein, Baptiste Coxam, Ilse Geudens, Anna Szymborska, Renae Skoczylas, Ines Fechner, Katarzyna Koltowska, Holger Gerhardt
Summary: The study demonstrates that Vash1 plays a role in regulating microtubule detyrosination in endothelial cells during vasculature formation, and it has significant effects on trunk vasculature formation and lymphatic vessel development in zebrafish.
Article
Biochemistry & Molecular Biology
Wannakarn Kitipaspallop, Preecha Phuwapraisirisan, Woo-Keun Kim, Chanpen Chanchao, Wittaya Pimtong
Summary: This study evaluated the developmental toxicity of sesamin in zebrafish embryos and found that it did not cause any harm to the embryos. It also showed evidence of anti-angiogenesis, antioxidant, and anti-inflammatory activities.
COMPARATIVE BIOCHEMISTRY AND PHYSIOLOGY C-TOXICOLOGY & PHARMACOLOGY
(2023)
Article
Biochemistry & Molecular Biology
Shengtao Xu, Yijun Sun, Peng Wang, Yuchen Tan, Lei Shi, Jian Chen
Summary: Angiogenesis is an important process in tumor development and progression. In this study, a series of novel dihydro-1H-indene derivatives were designed and evaluated as tubulin polymerisation inhibitors, showing anti-angiogenic activities. Compound 12d was identified as the most potent derivative, with strong antiproliferative activity against multiple cancer cell lines. It bound to the colchicine site on tubulin, inhibited tubulin polymerisation, and effectively prevented tumor growth, proliferation, and angiogenesis in vivo. These findings suggest that compound 12d is a promising tubulin polymerisation inhibitor for further research.
JOURNAL OF ENZYME INHIBITION AND MEDICINAL CHEMISTRY
(2023)
Article
Medicine, Research & Experimental
Jeshma Ravindra, U. G. Yathisha, Dechamma Pandyanda Nanjappa, Krithika Kalladka, Rasik Dhakal, Anirban Chakraborty, Gunimala Chakraborty
Summary: Garlic is an important ingredient in Indian cuisine and its most abundant component, allicin, has been studied for its antimicrobial and antioxidant properties. This study aimed to develop a simple method for allicin extraction from fresh garlic and evaluate its properties in zebrafish, including antioxidant, anti-proliferative, pro-apoptotic, and anti-angiogenic effects.
BIOMEDICINE & PHARMACOTHERAPY
(2023)
Article
Chemistry, Medicinal
He Huang, Yongfang Yao, Guodong Hou, Cui Zhao, Jinling Qin, Yixin Zhang, Yongtao Duan, Chuanjun Song, Junbiao Chang
Summary: The structural optimization of tanshinone IIA led to the discovery of a new analogue, 2f, with potent anti-cancer properties, including inhibition of tubulin assembly, induction of apoptotic cell death, and suppression of cell proliferation, migration, and invasion. Additionally, 2f exhibited promising in vivo anti-angiogenic effects.
EUROPEAN JOURNAL OF MEDICINAL CHEMISTRY
(2021)
Article
Biochemistry & Molecular Biology
Moran Sun, Yixin Zhang, Jinling Qin, Mengyu Ba, Yongfang Yao, Yongtao Duan, Hongmin Liu, Dequan Yu
Summary: The structural optimization of 2-ME2 led to the discovery of 9i, which effectively inhibited cancer cell proliferation by binding to the tubulin colchicine site, leading to anti-angiogenic effects. Additionally, 9i regulated cell cycle and apoptosis proteins to impact cancer cells.
BIOORGANIC CHEMISTRY
(2021)
Article
Biochemistry & Molecular Biology
Gyem Tshering, Wittaya Pimtong, Tullayakorn Plengsuriyakarn, Kesara Na-Bangchang
Summary: In this study, beta-Eudesmol and atractylodin, sesquiterpenoid contents extracted from Atractylodes lancea (AL), were investigated for their potential anti-angiogenic activities using zebrafish embryos. The results showed that beta-Eudesmol inhibited blood vessel development by downregulating the expression of the Vegfaa gene and its receptor Vegfr2 at both gene and protein levels, while atractylodin did not possess this anti-angiogenic property.
COMPARATIVE BIOCHEMISTRY AND PHYSIOLOGY C-TOXICOLOGY & PHARMACOLOGY
(2021)
Article
Pharmacology & Pharmacy
Cui Ma, Zhenghua Wu, Xue Wang, Mengling Huang, Xiaona Wei, Wei Wang, Han Qu, Xijier Qiaolongbatu, Yuefen Lou, Lili Jing, Guorong Fan
Summary: Pathological angiogenesis plays a critical role in the progression of cancerous tumors and blinding eye diseases. Antiangiogenic receptor tyrosine kinase inhibitors (TKIs) are commonly used for the treatment of these diseases, but it is still unclear whether TKIs exhibit similar anti-angiogenesis activities in different tissues. Additionally, many TKIs have demonstrated varying degrees of toxic effects that should be considered in clinical use.
TOXICOLOGY AND APPLIED PHARMACOLOGY
(2022)
Article
Developmental Biology
Elisabeth C. Kugler, James Frost, Vishmi Silva, Karen Plant, Karishma Chhabria, Tim J. A. Chico, Paul A. Armitage
Summary: Zebrafish vasculature quantification (ZVQ) is a image analysis workflow that allows for the 3D quantification of zebrafish brain vasculature. It enables assessment of vascular anatomy, extraction of quantitative parameters, and study of vascular biology.
Review
Chemistry, Medicinal
Yifan Shen, Ruilong Sheng, Ruihua Guo
Summary: Developing natural product-based anti-cancer drugs is a promising approach to overcome the side effects and toxicity of traditional chemotherapeutics. However, evaluating the in vivo anti-cancer activities of natural products is challenging. Zebrafish models have been utilized to address this issue and have shown great potential in assessing the in vivo activities of natural compounds.
Article
Biochemistry & Molecular Biology
Silvia Carra, Germano Gaudenzi, Alessandra Dicitore, Davide Saronni, Maria Celeste Cantone, Alice Plebani, Anna Ghilardi, Maria Orietta Borghi, Leo J. Hofland, Luca Persani, Giovanni Vitale
Summary: This study compared the anti-tumor activity of VAN and CAB in MTC, revealing comparable effects on cell viability, cell cycle, and apoptosis, but showing that CAB has a more potent anti-angiogenic activity.
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
(2021)
Article
Chemistry, Analytical
Wenting Zhang, Yaru Feng, Lu Ni, Wenju Liang, Xiangri Li, Ruichao Lin
Summary: This study successfully screened anti-angiogenic active components in Euphorbia pekinensis using UPLC-QTOF-MS method combined with a transgenic zebrafish model, with 3,3'-O-dimethoxy ellagic acid, quercetin, and ingenol showing significant anti-angiogenic effects.
JOURNAL OF PHARMACEUTICAL AND BIOMEDICAL ANALYSIS
(2022)
Article
Chemistry, Medicinal
J. S. Dileep Kumar, Andrei Molotkov, Patrick Carberry, Thomas Chaly, Ramesh Neelamegam, Akiva Mintz
Summary: Combinations of antiangiogenic and cytotoxic agents are effective in cancer treatment, but there is a lack of single agents with both antiangiogenic and cytotoxic activities. This study developed a high-affinity dual target inhibitor, [C-11]AG-488, which binds to RTK and exhibits anti-tubulin activities. The inhibitor has potential in enhancing tumor to tissue ratio for cancer drug development.
BIOORGANIC & MEDICINAL CHEMISTRY LETTERS
(2022)
Article
Nanoscience & Nanotechnology
Changlong Wang, Wei Zhang, Yanjie He, Zirui Gao, Liyuan Liu, Siyao Yu, Yuxing Hu, Shuang Wang, Chaochao Zhao, Hui Li, Jinan Shi, Wu Zhou, Feng Li, Hua Yue, Yuhua Li, Wei Wei, Guanghui Ma, Ding Ma
Summary: Trivalent arsenic (As-III) is effective in treating acute promyelocytic leukemia, but its limitations include low effective concentrations in leukemia cells and off-target cytotoxicity. Researchers designed a ferritin-based As nanomedicine, As@Fn, that targets leukemia cells expressing CD71 with high affinity, demonstrating improved efficacy in different leukemia types in animal models.
NATURE NANOTECHNOLOGY
(2021)
Article
Cell Biology
Robyn A. Umans, Carolyn Pollock, William A. Mills, Kareem C. Clark, Y. Albert Pan, Harald Sontheimer
Summary: Researchers utilized zebrafish as a model to study the interactions between different glial cell populations and brain blood vessels, revealing their diverse roles during blood vessel development and providing a suitable model for elucidating glial-vascular relationships in vertebrate brain development.
FRONTIERS IN CELL AND DEVELOPMENTAL BIOLOGY
(2021)
Meeting Abstract
Oncology
Bofei Wang, Christopher Ly, Fatima Zahra Jelloul, Enes Dasdemir, Guilin Tang, Sonali Jindal, Yulong Chen, Sreyashi Basu, Poonam Desai, Pamella Borges, Preethi Gunaratne, Natalia Baran, Qing Deng, Dapeng Hao, Sean Post, Michael Green Green, Marina Konopleva, Andy Futreal, Padmanee Sharma, Hussein A. Abbas
Article
Chemistry, Inorganic & Nuclear
Xianliang Li, Diwei Deng, Lufang He, Yan Xu
Summary: Exploration of credible non-enzymatic glucose sensors with high selectivity and sensitivity is important for early clinical monitoring of glucose concentration. In this study, mesoporous carbon (MC) sphere immobilized Co-MOF-74 nanorods (NRs) were prepared and showed effective glucose sensing performance. The Co-MOF-74 NRs/MC modified glassy carbon electrode (GCE) exhibited fast response time and high glucose sensitivity, as well as good anti-interference capability and long-term reusability. The applicability of the sensor for glucose sensing in real serum samples was also demonstrated.
DALTON TRANSACTIONS
(2023)
Article
Oncology
Yaxiong Tang, Lede Lin, Yunfei Xiao, Linghao Meng, Yujia Yang, Xiang Li
Summary: Compared to radical cystectomy, trimodality therapy is becoming increasingly utilized for patients with muscle-invasive bladder cancer. However, achieving satisfactory oncological outcomes requires strict patient selection criteria, and the comparative outcomes of trimodality therapy versus radical cystectomy remain controversial.
CLINICAL & TRANSLATIONAL ONCOLOGY
(2023)
Article
Geochemistry & Geophysics
Jing Tang, Peng Li, Xuri Huang, Qiang Lai, Ding Wang
Summary: In this article, a prestack inversion method based on the exact Zoeppritz equation under the Bayesian framework is proposed to improve the inversion accuracy. The method integrates multisource information to generate posterior distributions of elastic parameters. Additionally, a whale optimization particle filtering (WOPF) method is used to obtain a relatively stable and accurate initial model.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2023)
Article
Astronomy & Astrophysics
L. K. Li, K. Kinoshita, I. Adachi, J. K. Ahn, H. Aihara, S. Al Said, D. M. Asner, T. Aushev, R. Ayad, V. Babu, S. Bahinipati, Sw. Banerjee, P. Behera, K. Belous, J. Bennett, M. Bessner, B. Bhuyan, T. Bilka, D. Biswas, A. Bobrov, D. Bodrov, G. Bonvicini, J. Borah, A. Bozek, M. Bra, P. Branchini, T. E. Browder, A. Budano, M. Campajola, M. -c. Chang, A. Chen, B. G. Cheon, K. Chilikin, K. Cho, S. -j. Cho, Y. Choi, S. Choudhury, D. Cinabro, S. Das, G. De Nardo, G. De Pietro, R. Dhamija, F. Di Capua, J. Dingfelder, Z. Dolezal, T. V. Dong, D. Epifanov, T. Ferber, D. Ferlewicz, B. G. Fulsom, R. Garg, V. Gaur, A. Garmash, A. Giri, P. Goldenzweig, B. Golob, G. Gong, E. Graziani, Y. Guan, K. Gudkova, C. Hadjivasiliou, S. Halder, X. Han, K. Hayasaka, H. Hayashii, M. T. Hedges, W. -s. Hou, C. -l. Hsu, K. Inami, N. Ipsita, A. Ishikawa, R. Itoh, M. Iwasaki, W. W. Jacobs, E. -j. Jang, Q. P. Ji, S. Jia, Y. Jin, K. K. Joo, K. H. Kang, T. Kawasaki, C. H. Kim, D. Y. Kim, K. -H. Kim, Y. -K. Kim, P. Kodys, A. Korobov, S. Korpar, E. Kovalenko, P. Krizan, P. Krokovny, T. Kuhr, M. Kumar, R. Kumar, K. Kumara, Y. -j. Kwon, T. Lam, J. S. Lange, S. C. Lee, C. H. Li, S. X. Li, Y. Li, Y. B. Li, L. Li Gioi, J. Libby, K. Lieret, Y. -r. Lin, D. Liventsev, T. Luo, M. Masuda, T. Matsuda, D. Matvienko, S. K. Maurya, F. Meier, M. Merola, F. Metzner, K. Miyabayashi, R. Mizuk, R. Mussa, I. Nakamura, T. Nakano, M. Nakano, Z. Natkaniec, A. Natochii, L. Nayak, M. Nayak, N. K. Nisar, S. Nishida, S. Ogawa, H. Ono, P. Pakhlov, G. Pakhlova, S. Pardi, H. Park, J. Park, A. Passeri, S. Patra, S. Paul, R. Pestotnik, L. E. Piilonen, T. Podobnik, E. Prencipe, M. T. Prim, A. Rostomyan, N. Rout, Y. Russo, G. Sakai, S. Sandilya, V. Savinov, G. Schnell, J. Schueler, C. Schwanda, A. J. Schwartz, Y. Seino, K. Senyo, M. E. Sevior, W. Shan, M. Shapkin, C. Sharma, C. P. Shen, J. -g. Shiu, F. Simon, J. B. Singh, E. Solovieva, M. Staric, J. F. Strube, M. Sumihama, T. Sumiyoshi, M. Takizawa, U. Tamponi, S. S. Tang, K. Tanida, F. Tenchini, M. Uchida, T. Uglov, Y. Unno, K. Uno, S. Uno, P. Urquijo, S. E. Vahsen, R. van Tonder, G. Varner, K. E. Varvell, A. Vinokurova, A. Vossen, D. Wang, M. -z. Wang, X. L. Wang, M. Watanabe, S. Watanuki, O. Werbycka, J. Wiechczynski, E. Won, X. Xu, B. D. Yabsley, W. Yan, S. B. Yang, J. Yelton, J. H. Yin, C. Z. Yuan, L. Yuan, Y. Yusa, Z. P. Zhang, V. Zhilich, V. Zhukova
Summary: We present a study of the decays A+c -pK0SK0S and A+c -pK0St7 and measure their branching fractions relative to A+c -pK0S. The absolute branching fractions are also calculated by combining with the world average. The mode A+c -pK0 SK0S is observed for the first time with a statistical significance of > 10 sigma, and the branching fraction of A+c -pK0St7 is found to be consistent with the world average with improved precision.
Article
Chemistry, Physical
Hong-Mei Yu, Xiao-Yong Yu, Yong Chen, Yu Liu
Summary: A fullerene-polysaccharide supramolecular hydrogel with good antioxidant and antiglycation properties was constructed by co-assembly of fullerene@hydroxypropyl-b-cyclodextrin, chitosan, and bentonite, showing promising cosmetics applications.
Article
Biochemistry & Molecular Biology
Nanlan Yu, Tianxing Hu, Haichao Yang, Lian Zhang, Lin Zhu, Xiaofang Zhou, Fei Xiang, Xichuan Yang, Yuhong Li
Proceedings Paper
Computer Science, Artificial Intelligence
Heng Ruan, Xiaoge Li, Xianliang Li, Huikai Jiang, Yingchao Li
Summary: This study addresses the issue of lack of annotated sequence data in many domains by utilizing a few labeled support sentences in cross-domain fine-grained sentiment analysis task. A supervised sequence labeling model is used as a feature extractor, and a prototype representation of each tag is constructed. The distance between tokens of the target domain and the prototype representation is calculated to determine the label type, and the Viterbi decoder is used to determine label dependencies. The method achieves state-of-the-art performance on the cross-domain ABSA task.
ADVANCES IN NATURAL COMPUTATION, FUZZY SYSTEMS AND KNOWLEDGE DISCOVERY, ICNC-FSKD 2022
(2023)
Article
Energy & Fuels
Xiao-Rong Li, Chen-Wang Gu, Ze-Chen Ding, Yong-Cun Feng
Summary: The paper presents a coupled THM modeling approach to quantify the potential of cement failure under mechanically and thermally induced stress during the life-of-well. A staged finite-element procedure is used to consider sequential stress and displacement development during each stage of the well life. The model provides a comprehensive understanding of the stress states and state variables at each well stage, eliminating the need to guess the initial stress and strain state.
Article
Chemistry, Multidisciplinary
Jie Niu, Yao-Hua Liu, Wenshi Xu, Wen-Wen Xu, Ya-Hui Song, Jie Yu, Ying-Ming Zhang, Yu Liu
Summary: A ternary supramolecular assembly, consisting of a morpholine-modified permethyl beta-cyclodextrin, sulfonated porphyrin, and folic acid-modified chitosan, was constructed with dual-targeting capability towards lysosomes and cancer cells. The obtained assembly exhibited enhanced photodynamic effect and achieved precise imaging in cancer cells, surpassing the performance of free porphyrin.
CHEMICAL COMMUNICATIONS
(2023)
Article
Genetics & Heredity
Dan He, Xi Wang, Jing Ye, Yao Yao, Yan Wen, Yumeng Jia, Peilin Meng, Xuena Yang, Cuiyan Wu, Yujie Ning, Sen Wang, Feng Zhang
Summary: This study aimed to investigate the effect of diet and gut microbiome on neuropsychiatric disorders and explore the mechanisms of their interaction on the risk of neuroticism. Using individual genotype data, the study calculated the polygenic risk score based on genetic variations related to diet, diet compositions, and gut microbiome. Regression analysis revealed multiple candidate interactions between specific dietary factors and gut microbiome with neuroticism.
PSYCHIATRIC GENETICS
(2023)
Article
Chemistry, Multidisciplinary
Wanqing Zhang, Xijiao Li, Xinxin Hu, Chunxiang Li, Shanqin Liu, Jingjing Ma, Jichao Wang, Renlong Li, Qing Wang, Xiaoman Ding, Zhiyuan Wang
Summary: In this study, a novel electrochemical sensor for rapid detection of gallic acid (GA) was constructed using an Fe-N-C/AuNP nanohybrid combined with a glassy carbon electrode (GCE). The synthesized materials and sensors were characterized using various physical and electrochemical techniques. The Fe-N-C/AuNP nanohybrid exhibited rapid electron transfer, more active sites, excellent catalytic activity, and high conductivity, allowing for the detection of GA over a wide concentration range with high sensitivity and low detection limit. The constructed sensor also showed satisfactory recoveries when used to detect GA in honey, black tea, and green tea samples.
NEW JOURNAL OF CHEMISTRY
(2023)
Meeting Abstract
Rheumatology
Puli Zhang, Chao Sun, Lining Zhang, Hongxia Yang, Xiaolan Tian, Qinglin Peng, Guochun Wang, Xin Lu
CLINICAL AND EXPERIMENTAL RHEUMATOLOGY
(2023)
Article
Computer Science, Information Systems
Xiaofei Li
Summary: Deep hashing methods are proposed to achieve better retrieval performance by learning feature representations and hash codes in an end-to-end framework. In this study, a non-relaxation deep hashing method for fast image retrieval is introduced. The method uses a differentiable host thresholding function instead of quantization symbol function for generating hash-like codes, and employs a designed loss function with norm constraint to make each bit of the code as binary as possible. Experimental results demonstrate its effectiveness in learning image features, generating accurate binary hash codes, and outperforming state-of-the-art methods in mean average precision.
Article
Oncology
Liying Zhou, Qing Li, Jingshen Xu, Shuaikang Wang, Zhiqiang Song, Xinyi Chen, Yan Ma, Zhiguang Lin, Bobin Chen, He Huang
Summary: In this study, a logical regression model based on metabolic markers in cerebrospinal fluid (CSF) was developed to effectively predict the prognosis of PCNSL patients before chemotherapy treatments. The model performed well in a validation cohort of PCNSL patients.
NEURO-ONCOLOGY ADVANCES
(2023)