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Zhang Z, Zhang Q, Zhang Y, Lou Y, Ge L, Zhang W, Zhang W, Song F, Huang P. Role of sodium taurocholate cotransporting polypeptide (NTCP) in HBV-induced hepatitis: Opportunities for developing novel therapeutics. Biochem Pharmacol 2024; 219:115956. [PMID: 38049009 DOI: 10.1016/j.bcp.2023.115956] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2023] [Revised: 11/29/2023] [Accepted: 11/29/2023] [Indexed: 12/06/2023]
Abstract
Hepatitis B is an infectious disease caused by the HBV virus. It presents a significant challenge for treatment due to its chronic nature and the potential for developing severe complications, including hepatocirrhosis and hepatocellular carcinoma. These complications not only cause physical and psychological distress to patients but also impose substantial economic and social burdens on both individuals and society as a whole. The internalization of HBV relies on endocytosis and necessitates the involvement of various proteins, including heparin sulfate proteoglycans, epidermal growth factor receptors, and NTCP. Among these proteins, NTCP is pivotal in HBV internalization and is primarily located in the liver's basement membrane. As a transporter of bile acids, NTCP also serves as a receptor facilitating HBV entry into cells. Numerous molecules have been identified to thwart HBV infection by stifling NTCP activity, although only a handful exhibit low IC50 values. In this systematic review, our primary focus dwells on the structure and regulation of NTCP, as well as the mechanism involved in HBV internalization. We underscore recent drug breakthroughs that specifically target NTCP to combat HBV infection. By shedding light on these advances, this review contributes novel insights into developing effective anti-HBV medications.
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Affiliation(s)
- Zhentao Zhang
- Department of Pharmacology, College of Pharmaceutical Sciences, Zhejiang University of Technology, Hangzhou, China
| | - Qi Zhang
- Department of Pharmacology, College of Pharmaceutical Sciences, Zhejiang University of Technology, Hangzhou, China
| | - Yiwen Zhang
- Center for Clinical Pharmacy, Cancer Center, Department of Pharmacy, Zhejiang Provincial People's Hospital (Affiliated People's Hospital), Hangzhou Medical College, Hangzhou, Zhejiang, China; Key Laboratory of Endocrine Gland Diseases of Zhejiang Province, Hangzhou, China
| | - Yutao Lou
- Department of Pharmacology, College of Pharmaceutical Sciences, Zhejiang University of Technology, Hangzhou, China
| | - Luqi Ge
- Department of Pharmacology, College of Pharmaceutical Sciences, Zhejiang University of Technology, Hangzhou, China
| | - Wanli Zhang
- Department of Pharmacology, College of Pharmaceutical Sciences, Zhejiang University of Technology, Hangzhou, China
| | - Wen Zhang
- Department of Pharmacology, College of Pharmaceutical Sciences, Zhejiang University of Technology, Hangzhou, China
| | - Feifeng Song
- Center for Clinical Pharmacy, Cancer Center, Department of Pharmacy, Zhejiang Provincial People's Hospital (Affiliated People's Hospital), Hangzhou Medical College, Hangzhou, Zhejiang, China; Key Laboratory of Endocrine Gland Diseases of Zhejiang Province, Hangzhou, China.
| | - Ping Huang
- Center for Clinical Pharmacy, Cancer Center, Department of Pharmacy, Zhejiang Provincial People's Hospital (Affiliated People's Hospital), Hangzhou Medical College, Hangzhou, Zhejiang, China; Key Laboratory of Endocrine Gland Diseases of Zhejiang Province, Hangzhou, China.
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Dudka D, Akins RB, Lampson MA. FREEDA: An automated computational pipeline guides experimental testing of protein innovation. J Cell Biol 2023; 222:e202212084. [PMID: 37358475 PMCID: PMC10292211 DOI: 10.1083/jcb.202212084] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2022] [Revised: 04/22/2023] [Accepted: 06/07/2023] [Indexed: 06/27/2023] Open
Abstract
Cell biologists typically focus on conserved regions of a protein, overlooking innovations that can shape its function over evolutionary time. Computational analyses can reveal potential innovations by detecting statistical signatures of positive selection that lead to rapid accumulation of beneficial mutations. However, these approaches are not easily accessible to non-specialists, limiting their use in cell biology. Here, we present an automated computational pipeline FREEDA that provides a simple graphical user interface requiring only a gene name; integrates widely used molecular evolution tools to detect positive selection in rodents, primates, carnivores, birds, and flies; and maps results onto protein structures predicted by AlphaFold. Applying FREEDA to >100 centromere proteins, we find statistical evidence of positive selection within loops and turns of ancient domains, suggesting innovation of essential functions. As a proof-of-principle experiment, we show innovation in centromere binding of mouse CENP-O. Overall, we provide an accessible computational tool to guide cell biology research and apply it to experimentally demonstrate functional innovation.
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Affiliation(s)
- Damian Dudka
- Department of Biology, School of Arts and Sciences, University of Pennsylvania, Philadelphia, PA, USA
| | - R. Brian Akins
- Department of Biology, School of Arts and Sciences, University of Pennsylvania, Philadelphia, PA, USA
| | - Michael A. Lampson
- Department of Biology, School of Arts and Sciences, University of Pennsylvania, Philadelphia, PA, USA
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Zakrzewicz D, Geyer J. Interactions of Na +/taurocholate cotransporting polypeptide with host cellular proteins upon hepatitis B and D virus infection: novel potential targets for antiviral therapy. Biol Chem 2023:hsz-2022-0345. [PMID: 37103224 DOI: 10.1515/hsz-2022-0345] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2022] [Accepted: 04/13/2023] [Indexed: 04/28/2023]
Abstract
Na+/taurocholate cotransporting polypeptide (NTCP) is a member of the solute carrier (SLC) family 10 transporters (gene symbol SLC10A1) and is responsible for the sodium-dependent uptake of bile salts across the basolateral membrane of hepatocytes. In addition to its primary transporter function, NTCP is the high-affinity hepatic receptor for hepatitis B (HBV) and hepatitis D (HDV) viruses and, therefore, is a prerequisite for HBV/HDV virus entry into hepatocytes. The inhibition of HBV/HDV binding to NTCP and internalization of the virus/NTCP receptor complex has become a major concept in the development of new antiviral drugs called HBV/HDV entry inhibitors. Hence, NTCP has emerged as a promising target for therapeutic interventions against HBV/HDV infections in the last decade. In this review, recent findings on protein-protein interactions (PPIs) between NTCP and cofactors relevant for entry of the virus/NTCP receptor complex are summarized. In addition, strategies aiming to block PPIs with NTCP to dampen virus tropism and HBV/HDV infection rates are discussed. Finally, this article suggests novel directions for future investigations evaluating the functional contribution of NTCP-mediated PPIs in the development and progression of HBV/HDV infection and subsequent chronic liver disorders.
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Affiliation(s)
- Dariusz Zakrzewicz
- Institute of Pharmacology and Toxicology, Faculty of Veterinary Medicine, Justus-Liebig-University Giessen, Schubertstr. 81, D-35392 Giessen, Germany
| | - Joachim Geyer
- Institute of Pharmacology and Toxicology, Faculty of Veterinary Medicine, Justus-Liebig-University Giessen, Schubertstr. 81, D-35392 Giessen, Germany
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Dudka D, Akins RB, Lampson MA. FREEDA: an automated computational pipeline guides experimental testing of protein innovation by detecting positive selection. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.02.27.530329. [PMID: 36909479 PMCID: PMC10002610 DOI: 10.1101/2023.02.27.530329] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/06/2023]
Abstract
Cell biologists typically focus on conserved regions of a protein, overlooking innovations that can shape its function over evolutionary time. Computational analyses can reveal potential innovations by detecting statistical signatures of positive selection that leads to rapid accumulation of beneficial mutations. However, these approaches are not easily accessible to non-specialists, limiting their use in cell biology. Here, we present an automated computational pipeline FREEDA (Finder of Rapidly Evolving Exons in De novo Assemblies) that provides a simple graphical user interface requiring only a gene name, integrates widely used molecular evolution tools to detect positive selection, and maps results onto protein structures predicted by AlphaFold. Applying FREEDA to >100 mouse centromere proteins, we find evidence of positive selection in intrinsically disordered regions of ancient domains, suggesting innovation of essential functions. As a proof-of-principle experiment, we show innovation in centromere binding of CENP-O. Overall, we provide an accessible computational tool to guide cell biology research and apply it to experimentally demonstrate functional innovation.
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