Title |
A novel nanobody-heavy chain antibody against Angiopoietin-like protein 3 reduces plasma lipids and relieves nonalcoholic fatty liver disease
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Published in |
Journal of Nanobiotechnology, May 2022
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DOI | 10.1186/s12951-022-01456-z |
Pubmed ID | |
Authors |
Xiaozhi Hu, Jiajun Fan, Qianqian Ma, Lei Han, Zhonglian Cao, Caili Xu, Jingyun Luan, Guangjun Jing, Yanyang Nan, Tao Wu, Yuting Zhang, Hanqi Wang, Yuanzhen Zhang, Dianwen Ju |
Abstract |
Nonalcoholic fatty liver disease (NAFLD) is a metabolic disease mainly on account of hypercholesterolemia and may progress to cirrhosis and hepatocellular carcinoma. The discovery of effective therapy for NAFLD is an essential unmet need. Angiopoietin-like protein 3 (ANGPTL3), a critical lipid metabolism regulator, resulted in increased blood lipids and was elevated in NAFLD. Here, we developed a nanobody-heavy chain antibody (VHH-Fc) to inhibit ANGPTL3 for NAFLD treatment. In this study, we retrieved an anti-ANGPTL3 VHH and Fc fusion protein, C44-Fc, which exhibited high affinities to ANGPTL3 proteins and rescued ANGPLT3-mediated inhibition of lipoprotein lipase (LPL) activity. The C44-Fc bound a distinctive epitope within ANGPTL3 when compared with the approved evinacumab, and showed higher expression yield. Meanwhile, C44-Fc had significant reduction of the triglyceride (~ 44.2%), total cholesterol (~ 36.6%) and LDL-cholesterol (~ 54.4%) in hypercholesterolemic mice and ameliorated hepatic lipid accumulation and liver injury in NAFLD mice model. We discovered a VHH-Fc fusion protein with high affinity to ANGPTL3, strong stability and also alleviated the progression of NAFLD, which might offer a promising therapy for NAFLD. |
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Geographical breakdown
Country | Count | As % |
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Sri Lanka | 1 | 25% |
United Kingdom | 1 | 25% |
Unknown | 2 | 50% |
Demographic breakdown
Type | Count | As % |
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Scientists | 2 | 50% |
Members of the public | 1 | 25% |
Science communicators (journalists, bloggers, editors) | 1 | 25% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Unknown | 16 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Ph. D. Student | 2 | 13% |
Researcher | 1 | 6% |
Professor | 1 | 6% |
Professor > Associate Professor | 1 | 6% |
Unknown | 11 | 69% |
Readers by discipline | Count | As % |
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Biochemistry, Genetics and Molecular Biology | 3 | 19% |
Chemical Engineering | 1 | 6% |
Pharmacology, Toxicology and Pharmaceutical Science | 1 | 6% |
Medicine and Dentistry | 1 | 6% |
Unknown | 10 | 63% |