1
|
Juković M, Ratkaj I, Kalafatovic D, Bradshaw NJ. Amyloids, amorphous aggregates and assemblies of peptides - Assessing aggregation. Biophys Chem 2024; 308:107202. [PMID: 38382283 DOI: 10.1016/j.bpc.2024.107202] [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: 11/29/2023] [Revised: 01/31/2024] [Accepted: 02/14/2024] [Indexed: 02/23/2024]
Abstract
Amyloid and amorphous aggregates represent the two major categories of aggregates associated with diseases, and although exhibiting distinct features, researchers often treat them as equivalent, which demonstrates the need for more thorough characterization. Here, we compare amyloid and amorphous aggregates based on their biochemical properties, kinetics, and morphological features. To further decipher this issue, we propose the use of peptide self-assemblies as minimalistic models for understanding the aggregation process. Peptide building blocks are significantly smaller than proteins that participate in aggregation, however, they make a plausible means to bridge the gap in discerning the aggregation process at the more complex, protein level. Additionally, we explore the potential use of peptide-inspired models to research the liquid-liquid phase separation as a feasible mechanism preceding amyloid formation. Connecting these concepts can help clarify our understanding of aggregation-related disorders and potentially provide novel drug targets to impede and reverse these serious illnesses.
Collapse
Affiliation(s)
- Maja Juković
- Faculty of Biotechnology and Drug Development, University of Rijeka, 51000 Rijeka, Croatia
| | - Ivana Ratkaj
- Faculty of Biotechnology and Drug Development, University of Rijeka, 51000 Rijeka, Croatia
| | - Daniela Kalafatovic
- Faculty of Biotechnology and Drug Development, University of Rijeka, 51000 Rijeka, Croatia.
| | - Nicholas J Bradshaw
- Faculty of Biotechnology and Drug Development, University of Rijeka, 51000 Rijeka, Croatia.
| |
Collapse
|
2
|
Behera DP, Subadini S, Freudenberg U, Sahoo H. Sulfation of hyaluronic acid reconfigures the mechanistic pathway of bone morphogenetic protein-2 aggregation. Int J Biol Macromol 2024; 263:130128. [PMID: 38350587 DOI: 10.1016/j.ijbiomac.2024.130128] [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: 11/22/2023] [Revised: 02/03/2024] [Accepted: 02/09/2024] [Indexed: 02/15/2024]
Abstract
Bone morphogenetic protein-2 (BMP-2) is a critical growth factor of bone extracellular matrix (ECM), pivotal for osteogenesis. Glycosaminoglycans (GAGs), another vital ECM biomolecules, interact with growth factors, affecting signal transduction. Our study primarily focused on hyaluronic acid (HA), a prevalent GAG, and its sulfated derivative (SHA). We explored their impact on BMP-2's conformation, aggregation, and mechanistic pathways of aggregation using diverse optical and rheological methods. In the presence of HA and SHA, the secondary structure of BMP-2 underwent a structured transformation, characterized by a substantial increase in beta sheet content, and a detrimental alteration, manifesting as a shift towards unstructured content, respectively. Although both HA and SHA induced BMP-2 aggregation, their mechanisms differed. SHA led to rapid amorphous aggregates, while HA promoted amyloid fibrils with a lag phase and sigmoidal kinetics. Aggregate size and shape varied; HA produced larger structures, SHA smaller. Each aggregation type followed distinct pathways influenced by viscosity and excluded volume. Higher viscosity, low diffusivity of protein and higher excluded volume In the presence of HA promotes fibrillation having size in micrometer range. Low viscosity, high diffusivity of protein and lesser excluded volume leads to amorphous aggregate of size in nanometer range.
Collapse
Affiliation(s)
- Devi Prasanna Behera
- Biophysical and Protein Chemistry Lab, Department of Chemistry, National Institute of Technology, Rourkela 769008, Odisha, India
| | - Suchismita Subadini
- Biophysical and Protein Chemistry Lab, Department of Chemistry, National Institute of Technology, Rourkela 769008, Odisha, India
| | - Uwe Freudenberg
- Institute of Polymer Research, Technical University Dresden, 01307 Dresden, Germany
| | - Harekrushna Sahoo
- Biophysical and Protein Chemistry Lab, Department of Chemistry, National Institute of Technology, Rourkela 769008, Odisha, India; Center for Nanomaterials, National Institute of Technology, Rourkela 769008, Odisha, India.
| |
Collapse
|
3
|
Sheng H, Chen L, Zhao Y, Long X, Chen Q, Wu C, Li B, Fei Y, Mi L, Ma J. Closed, one-stop intelligent and accurate particle characterization based on micro-Raman spectroscopy and digital microfluidics. Talanta 2024; 266:124895. [PMID: 37454511 DOI: 10.1016/j.talanta.2023.124895] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2023] [Revised: 06/19/2023] [Accepted: 07/01/2023] [Indexed: 07/18/2023]
Abstract
Monoclonal antibodies are prone to form protein particles through aggregation, fragmentation, and oxidation under varying stress conditions during the manufacturing, shipping, and storage of parenteral drug products. According to pharmacopeia requirements, sub-visible particle levels need to be controlled throughout the shelf life of the product. Therefore, in addition to determining particle counts, it is crucial to accurately characterize particles in drug product to understand the stress condition of exposure and to implement appropriate mitigation actions for a specific formulation. In this study, we developed a new method for intelligent characterization of protein particles using micro-Raman spectroscopy on a digital microfluidic chip (DMF). Several microliters of protein particle solutions induced by stress degradation were loaded onto a DMF chip to generate multiple droplets for Raman spectroscopy testing. By training multiple machine learning classification models on the obtained Raman spectra of protein particles, eight types of protein particles were successfully characterized and predicted with high classification accuracy (93%-100%). The advantages of the novel particle characterization method proposed in this study include a closed system to prevent particle contamination, one-stop testing of morphological and chemical structure information, low sample volume consumption, reusable particle droplets, and simplified data analysis with high classification accuracy. It provides great potential to determine the probable root cause of the particle source or stress conditions by a single testing, so that an accurate particle control strategy can be developed and ultimately extend the product shelf-life.
Collapse
Affiliation(s)
- Han Sheng
- Institute of Biomedical Engineering and Technology, Academy for Engineer and Technology, Fudan University, 220 Handan Road, Shanghai, 200433, China
| | - Liwen Chen
- Shanghai Engineering Research Center of Ultra-precision Optical Manufacturing, Key Laboratory of Micro and Nano Photonic Structures (Ministry of Education), Green Photoelectron Platform, Department of Optical Science and Engineering, Fudan University, 220 Handan Road, Shanghai, 200433, China; Ruidge Biotech Co. Ltd., No. 888, Huanhu West 2nd Road, Lin-Gang Special Area, China (Shanghai) Pilot Free Trade Zone, Shanghai, 200131, China
| | - Yinping Zhao
- Institute of Biomedical Engineering and Technology, Academy for Engineer and Technology, Fudan University, 220 Handan Road, Shanghai, 200433, China
| | - Xiangan Long
- Institute of Biomedical Engineering and Technology, Academy for Engineer and Technology, Fudan University, 220 Handan Road, Shanghai, 200433, China
| | - Qiushu Chen
- Shanghai Engineering Research Center of Ultra-precision Optical Manufacturing, Key Laboratory of Micro and Nano Photonic Structures (Ministry of Education), Green Photoelectron Platform, Department of Optical Science and Engineering, Fudan University, 220 Handan Road, Shanghai, 200433, China
| | - Chuanyong Wu
- Shanghai Hengxin BioTechnology, Ltd., 1688 North Guo Quan Rd, Bldg A8, Rm 801, Shanghai, 200438, China
| | - Bei Li
- State Key Laboratory of Applied Optics, Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, No.3888 Dong Nanhu Road, Changchun, Jilin, 130033, China
| | - Yiyan Fei
- Shanghai Engineering Research Center of Ultra-precision Optical Manufacturing, Key Laboratory of Micro and Nano Photonic Structures (Ministry of Education), Green Photoelectron Platform, Department of Optical Science and Engineering, Fudan University, 220 Handan Road, Shanghai, 200433, China
| | - Lan Mi
- Shanghai Engineering Research Center of Ultra-precision Optical Manufacturing, Key Laboratory of Micro and Nano Photonic Structures (Ministry of Education), Green Photoelectron Platform, Department of Optical Science and Engineering, Fudan University, 220 Handan Road, Shanghai, 200433, China.
| | - Jiong Ma
- Institute of Biomedical Engineering and Technology, Academy for Engineer and Technology, Fudan University, 220 Handan Road, Shanghai, 200433, China; Shanghai Engineering Research Center of Ultra-precision Optical Manufacturing, Key Laboratory of Micro and Nano Photonic Structures (Ministry of Education), Green Photoelectron Platform, Department of Optical Science and Engineering, Fudan University, 220 Handan Road, Shanghai, 200433, China; Shanghai Engineering Research Center of Industrial Microorganisms, The Multiscale Research Institute of Complex Systems (MRICS), School of Life Sciences, Fudan University, 220 Handan Road, Shanghai, 200433, China.
| |
Collapse
|
4
|
Basha S, Mukunda DC, Rodrigues J, Gail D'Souza M, Gangadharan G, Pai AR, Mahato KK. A comprehensive review of protein misfolding disorders, underlying mechanism, clinical diagnosis, and therapeutic strategies. Ageing Res Rev 2023; 90:102017. [PMID: 37468112 DOI: 10.1016/j.arr.2023.102017] [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: 05/06/2023] [Revised: 07/14/2023] [Accepted: 07/14/2023] [Indexed: 07/21/2023]
Abstract
INTRODUCTION Proteins are the most common biological macromolecules in living system and are building blocks of life. They are extremely dynamic in structure and functions. Due to several modifications, proteins undergo misfolding, leading to aggregation and thereby developing neurodegenerative and systemic diseases. Understanding the pathology of these diseases and the techniques used to diagnose them is therefore crucial for their effective management . There are several techniques, currently being in use to diagnose them and those will be discussed in this review. AIM/OBJECTIVES Current review aims to discuss an overview of protein aggregation and the underlying mechanisms linked to neurodegeneration and systemic diseases. Also, the review highlights protein misfolding disorders, their clinical diagnosis, and treatment strategies. METHODOLOGY Literature related to neurodegenerative and systemic diseases was explored through PubMed, Google Scholar, Scopus, and Medline databases. The keywords used for literature survey and analysis are protein aggregation, neurodegenerative disorders, Alzheimer's disease, Parkinson's disease, systemic diseases, protein aggregation mechanisms, etc. DISCUSSION /CONCLUSION: This review summarises the pathogenesis of neurodegenerative and systemic disorders caused by protein misfolding and aggregation. The clinical diagnosis and therapeutic strategies adopted for the management of these diseases are also discussed to aid in a better understanding of protein misfolding disorders. Many significant concerns about the role, characteristics, and consequences of protein aggregates in neurodegenerative and systemic diseases are not clearly understood to date. Regardless of technological advancements, there are still great difficulties in the management and cure of these diseases. Therefore, for better understanding, diagnosis, and treatment of neurodegenerative and systemic diseases, more studies to identify novel drugs that may aid in their treatment and management are required.
Collapse
Affiliation(s)
- Shaik Basha
- Department of Biophysics, Manipal School of Life Sciences, Manipal Academy of Higher Education, Manipal 576104, Karnataka, India
| | | | - Jackson Rodrigues
- Department of Biophysics, Manipal School of Life Sciences, Manipal Academy of Higher Education, Manipal 576104, Karnataka, India
| | - Meagan Gail D'Souza
- Department of Biophysics, Manipal School of Life Sciences, Manipal Academy of Higher Education, Manipal 576104, Karnataka, India
| | - Gireesh Gangadharan
- Department of Cell and Molecular Biology, Manipal School of Life Sciences, Manipal Academy of Higher Education, Manipal 576104, Karnataka, India
| | - Aparna Ramakrishna Pai
- Department of Neurology, Kasturba Medical College - Manipal, Manipal Academy of Higher Education, Manipal 576104, Karnataka, India
| | - Krishna Kishore Mahato
- Department of Biophysics, Manipal School of Life Sciences, Manipal Academy of Higher Education, Manipal 576104, Karnataka, India.
| |
Collapse
|
5
|
Hall D, Basu G, Ito N. Computational biophysics and structural biology of proteins-a Special Issue in honor of Prof. Haruki Nakamura's 70th birthday. Biophys Rev 2023; 14:1211-1222. [PMID: 36620377 PMCID: PMC9809522 DOI: 10.1007/s12551-022-01039-0] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/08/2022] [Indexed: 01/05/2023] Open
Abstract
Receiving his initial training jointly in theoretical and applied physics at the University of Tokyo, Professor Haruki Nakamura has had a long and eventful scientific career, along the way helping to shape the way that biophysics is carried out in Japan. Concentrating his research efforts on the simulation of protein structure and function, he has, over his career arc, acted as director of the Institute for Protein Research (Osaka, Japan), director of the Protein Data Bank of Japan (PDBj), president of the Biophysical Society of Japan (BSJ), president of the Protein Science Society of Japan (PSSJ), and group leader and professor of Bioinformatics and Computational Structural Biology at Osaka University. In 2022, Prof. Haruki Nakamura turned 70 years old, and to mark this occasion, his scientific colleagues from around the world have combined their efforts to produce this Festschrift Issue of the IUPAB Biophysical Reviews journal around the theme of the computational biophysics and structural biology of proteins.
Collapse
Affiliation(s)
- Damien Hall
- WPI Nano Life Science Institute, Kanazawa University, Kakumamachi, Kanazawa, Ishikawa 920-1164 Japan
- Department of Applied Physics, Aalto University, 00076 Aalto, Finland
| | - Gautam Basu
- Department of Biophysics, Bose Institute, Centenary Campus, P-1/12 C.I.T. Scheme VII-M, Kolkata, 700054 India
| | - Nobutoshi Ito
- Medical Research Institute, Tokyo Medical and Dental University (TMDU), Yushima, Bunkyo-Ku, Tokyo, 113-8510 Japan
| |
Collapse
|
6
|
Pedroza-Escobar D, Castillo-Maldonado I, González-Cortés T, Delgadillo-Guzmán D, Ruíz-Flores P, Cruz JHS, Espino-Silva PK, Flores-Loyola E, Ramirez-Moreno A, Avalos-Soto J, Téllez-López MÁ, Velázquez-Gauna SE, García-Garza R, Vertti RDAP, Torres-León C. Molecular Bases of Protein Antigenicity and Determinants of Immunogenicity, Anergy, and Mitogenicity. Protein Pept Lett 2023; 30:719-733. [PMID: 37691216 DOI: 10.2174/0929866530666230907093339] [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: 03/29/2023] [Revised: 08/03/2023] [Accepted: 08/03/2023] [Indexed: 09/12/2023]
Abstract
BACKGROUND The immune system is able to recognize substances that originate from inside or outside the body and are potentially harmful. Foreign substances that bind to immune system components exhibit antigenicity and are defined as antigens. The antigens exhibiting immunogenicity can induce innate or adaptive immune responses and give rise to humoral or cell-mediated immunity. The antigens exhibiting mitogenicity can cross-link cell membrane receptors on B and T lymphocytes leading to cell proliferation. All antigens vary greatly in physicochemical features such as biochemical nature, structural complexity, molecular size, foreignness, solubility, and so on. OBJECTIVE Thus, this review aims to describe the molecular bases of protein-antigenicity and those molecular bases that lead to an immune response, lymphocyte proliferation, or unresponsiveness. CONCLUSION The epitopes of an antigen are located in surface areas; they are about 880-3,300 Da in size. They are protein, carbohydrate, or lipid in nature. Soluble antigens are smaller than 1 nm and are endocytosed less efficiently than particulate antigens. The more the structural complexity of an antigen increases, the more the antigenicity increases due to the number and variety of epitopes. The smallest immunogens are about 4,000-10,000 Da in size. The more phylogenetically distant immunogens are from the immunogen-recipient, the more immunogenicity increases. Antigens that are immunogens can trigger an innate or adaptive immune response. The innate response is induced by antigens that are pathogen-associated molecular patterns. Exogenous antigens, T Dependent or T Independent, induce humoral immunogenicity. TD protein-antigens require two epitopes, one sequential and one conformational to induce antibodies, whereas, TI non-protein-antigens require only one conformational epitope to induce low-affinity antibodies. Endogenous protein antigens require only one sequential epitope to induce cell-mediated immunogenicity.
Collapse
Affiliation(s)
- David Pedroza-Escobar
- Centro de Investigacion Biomedica, Universidad Autonoma de Coahuila, Unidad Torreon, Torreon, Coahuila, 27000, Mexico
| | - Irais Castillo-Maldonado
- Centro de Investigacion Biomedica, Universidad Autonoma de Coahuila, Unidad Torreon, Torreon, Coahuila, 27000, Mexico
| | - Tania González-Cortés
- Centro de Investigacion Biomedica, Universidad Autonoma de Coahuila, Unidad Torreon, Torreon, Coahuila, 27000, Mexico
| | - Dealmy Delgadillo-Guzmán
- Facultad de Medicina, Universidad Autonoma de Coahuila, Unidad Torreon, Torreon, Coahuila, 27000, Mexico
| | - Pablo Ruíz-Flores
- Centro de Investigacion Biomedica, Universidad Autonoma de Coahuila, Unidad Torreon, Torreon, Coahuila, 27000, Mexico
| | - Jorge Haro Santa Cruz
- Centro de Investigacion Biomedica, Universidad Autonoma de Coahuila, Unidad Torreon, Torreon, Coahuila, 27000, Mexico
| | - Perla-Karina Espino-Silva
- Centro de Investigacion Biomedica, Universidad Autonoma de Coahuila, Unidad Torreon, Torreon, Coahuila, 27000, Mexico
| | - Erika Flores-Loyola
- Facultad de Ciencias Biologicas, Universidad Autonoma de Coahuila, Unidad Torreon, Torreon, Coahuila, 27276, Mexico
| | - Agustina Ramirez-Moreno
- Facultad de Ciencias Biologicas, Universidad Autonoma de Coahuila, Unidad Torreon, Torreon, Coahuila, 27276, Mexico
| | - Joaquín Avalos-Soto
- Cuerpo Academico Farmacia y Productos Naturales, Facultad de Ciencias Quimicas, Universidad Juarez del Estado de Durango, Gomez Palacio, Mexico
| | - Miguel-Ángel Téllez-López
- Cuerpo Academico Farmacia y Productos Naturales, Facultad de Ciencias Quimicas, Universidad Juarez del Estado de Durango, Gomez Palacio, Mexico
| | | | - Rubén García-Garza
- Facultad de Medicina, Universidad Autonoma de Coahuila, Unidad Torreon, Torreon, Coahuila, 27000, Mexico
| | | | - Cristian Torres-León
- Centro de Investigacion y Jardin Etnobiologico, Universidad Autonoma de Coahuila, Viesca, Coahuila, 27480, Mexico
| |
Collapse
|