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Wang J, Zhang H, Wan W, Yang H, Zhao J. Advances in nanotechnological approaches for the detection of early markers associated with severe cardiac ailments. Nanomedicine (Lond) 2024; 19:1487-1506. [PMID: 39121377 PMCID: PMC11318751 DOI: 10.1080/17435889.2024.2364581] [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: 03/01/2024] [Accepted: 05/31/2024] [Indexed: 08/11/2024] Open
Abstract
Mortality from cardiovascular disease (CVD) accounts for over 30% of all deaths globally, necessitating reliable diagnostic tools. Prompt identification and precise diagnosis are critical for effective personalized treatment. Nanotechnology offers promising applications in diagnostics, biosensing and drug delivery for prevalent cardiovascular diseases. Its integration into cardiovascular care enhances diagnostic accuracy, enabling early intervention and tailored treatment plans. By leveraging nanoscale innovations, healthcare professionals can address the complexities of CVD progression and customize interventions based on individual patient needs. Ongoing advancements in nanotechnology continue to shape the landscape of cardiovascular medicine, offering potential for improved patient outcomes and reduced mortality rates from these pervasive diseases.
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Affiliation(s)
- Jie Wang
- Department of Cardiac Care Unit, Yantaishan Hospital, Yantai, Shandong, 264003, China
| | - Haifeng Zhang
- Department of Cardiology, Yantai Yeda Hospital, Yantai, Shangdong, 264006, China
| | - Weiping Wan
- Department of Ultrasound, Yantaishan Hospital, Yantai, Shandong, 264003, China
| | - Haijiao Yang
- Department of Cardiac Care Unit, Yantaishan Hospital, Yantai, Shandong, 264003, China
| | - Jing Zhao
- Department of Critical Care Medicine, Yantaishan Hospital, Yantai, Shandong, 264003, China
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2
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Elsaygh J, Zaher A, Parikh MA, Frishman WH, Peterson SJ. Nanotechnology: The Future for Diagnostic and Therapeutic Intervention in Cardiovascular Diseases is Here. Cardiol Rev 2024:00045415-990000000-00281. [PMID: 38814069 DOI: 10.1097/crd.0000000000000727] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 05/31/2024]
Abstract
With advances in technology and medicine over the last 3 decades, cardiovascular medicine has evolved tremendously. Nanotechnology provides a promising future in personalized precision medicine. In this review, we delve into the current and prospective applications of nanotechnology and nanoparticles in cardiology. Nanotechnology has allowed for point-of-care testing such as high-sensitivity troponins, as well as more precise cardiac imaging. This review is focused on 3 diseases within cardiology: coronary artery disease, heart failure, and valvular heart disease. The use of nanoparticles in coronary stents has shown success in preventing in-stent thrombosis, as well as using nanosized drug delivery medications to prevent neointimal proliferation in a way that spares systemic toxicity. In addition, by using nanoparticles as drug delivery systems, nanotechnology can be utilized in the delivery of goal-directed medical therapy in heart failure patients. It has also been shown to improve cell therapy in this patient population by helping in cell retention of grafts. Finally, the use of nanoparticles in the manufacturing of bioprosthetic valves provides a promising future for the longevity and success of cardiac valve repair and replacement.
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Affiliation(s)
- Jude Elsaygh
- From the Department of Medicine, New York Presbyterian Brooklyn Methodist Hospital, Brooklyn, NY
| | - Anas Zaher
- From the Department of Medicine, New York Presbyterian Brooklyn Methodist Hospital, Brooklyn, NY
| | - Manish A Parikh
- From the Department of Medicine, New York Presbyterian Brooklyn Methodist Hospital, Brooklyn, NY
- Weill Department of Medicine, Weill Cornell Medicine, New York, NY
| | | | - Stephen J Peterson
- From the Department of Medicine, New York Presbyterian Brooklyn Methodist Hospital, Brooklyn, NY
- Weill Department of Medicine, Weill Cornell Medicine, New York, NY
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3
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Ullah A, Ullah M, Lim SI. Recent advancements in nanotechnology based drug delivery for the management of cardiovascular disease. Curr Probl Cardiol 2024; 49:102396. [PMID: 38266693 DOI: 10.1016/j.cpcardiol.2024.102396] [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: 01/06/2024] [Accepted: 01/14/2024] [Indexed: 01/26/2024]
Abstract
Cardiovascular diseases (CVDs) constitute a predominant cause of both global mortality and morbidity. To address the challenges in the early diagnosis and management of CVDs, there is growing interest in the field of nanotechnology and nanomaterials to develop innovative diagnostic and therapeutic approaches. This review focuses on the recent advancements in nanotechnology-based diagnostic techniques, including cardiac immunoassays (CIA), cardiac circulating biomarkers, cardiac exosomal biomarkers, and molecular Imaging (MOI). Moreover, the article delves into the exciting developments in nanoparticles (NPs), biomimetic NPs, nanofibers, nanogels, and nanopatchs for cardiovascular applications. And discuss how these nanoscale technologies can improve the precision, sensitivity, and speed of CVD diagnosis and management. While highlighting their vast potential, we also address the limitations and challenges that must be overcome to harness these innovations successfully. Furthermore, this review focuses on the emerging opportunities for personalized and effective cardiovascular care through the integration of nanotechnology, ultimately aiming to reduce the global burden of CVDs.
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Affiliation(s)
- Aziz Ullah
- Department of Chemical Engineering, Pukyong National University, Yongso-ro 45, Nam-gu, Engineering Bldg#1, Rm1108, Busan 48513, Republic of Korea
| | - Muneeb Ullah
- College of Pharmacy, Pusan National University, Busandaehak-ro 63 beon-gil 2, Geumjeong-gu, Busan 46241, Republic of Korea
| | - Sung In Lim
- Department of Chemical Engineering, Pukyong National University, Yongso-ro 45, Nam-gu, Engineering Bldg#1, Rm1108, Busan 48513, Republic of Korea.
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4
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Di Mauro V, Lauta FC, Modica J, Appleton SL, De Franciscis V, Catalucci D. Diagnostic and Therapeutic Aptamers: A Promising Pathway to Improved Cardiovascular Disease Management. JACC Basic Transl Sci 2024; 9:260-277. [PMID: 38510714 PMCID: PMC10950404 DOI: 10.1016/j.jacbts.2023.06.013] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/19/2023] [Accepted: 06/29/2023] [Indexed: 03/22/2024]
Abstract
Despite advances in care, cardiovascular diseases remain the leading cause of death worldwide. As a result, identifying suitable biomarkers for early diagnosis and improving therapeutic and diagnostic strategies is crucial. Because of their significant advantages over other therapeutic approaches, nucleic-based therapies, particularly aptamers, are gaining increased attention. Aptamers are innovative synthetic polymers or oligomers of single-stranded DNA (ssDNA) or RNA molecules that can form 3-dimensional structures and thus interact with their targets with high specificity and affinity. Furthermore, they outperform classical protein-based antibodies in terms of in vitro selection, production, ease of modification and conjugation, high stability, low immunogenicity, and suitability for nanoparticle functionalization for targeted drug delivery. This work aims to review the advances made in the aptamers' field in biomarker detection, diagnosis, imaging, and targeted therapy, which highlight their huge potential in the management of cardiovascular diseases.
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Affiliation(s)
- Vittoria Di Mauro
- Veneto Institute of Molecular Medicine, Padua, Italy
- Institute of Genetic and Biomedical Research, Milan, Milan Italy
- Humanitas Cardio Center, IRCCS Humanitas Research Hospital, Rozzano, Milan, Italy
| | | | - Jessica Modica
- Institute of Genetic and Biomedical Research, Milan, Milan Italy
- Humanitas Cardio Center, IRCCS Humanitas Research Hospital, Rozzano, Milan, Italy
| | - Silvia Lucia Appleton
- Institute of Genetic and Biomedical Research, Milan, Milan Italy
- Humanitas Cardio Center, IRCCS Humanitas Research Hospital, Rozzano, Milan, Italy
| | | | - Daniele Catalucci
- Institute of Genetic and Biomedical Research, Milan, Milan Italy
- Humanitas Cardio Center, IRCCS Humanitas Research Hospital, Rozzano, Milan, Italy
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5
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Umar A, Haque M, Ansari SG, Seo HK, Ibrahim AA, Alhamami MAM, Algadi H, Ansari ZA. Label-Free Myoglobin Biosensor Based on Pure and Copper-Doped Titanium Dioxide Nanomaterials. BIOSENSORS 2022; 12:1151. [PMID: 36551118 PMCID: PMC9775539 DOI: 10.3390/bios12121151] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/31/2022] [Revised: 12/02/2022] [Accepted: 12/06/2022] [Indexed: 06/17/2023]
Abstract
In this study, using pure and copper-doped titanium dioxide (Cu-TiO2) nanostructures as the base matrix, enzyme-less label free myoglobin detection to identify acute myocardial infarction was performed and presented. The Cu-TiO2 nanomaterials were prepared using facile sol-gel method. In order to comprehend the morphologies, compositions, structural, optical, and electrochemical characteristics, the pure and Cu-TiO2 nanomaterials were investigated by several techniques which clearly revealed good crystallinity and high purity. To fabricate the enzyme-less label free biosensor, thick films of synthesized nanomaterials were applied to the surface of a pre-fabricated gold screen-printed electrode (Au-SPE), which serves as a working electrode to construct the myoglobin (Mb) biosensors. The interference study of the fabricated biosensor was also carried out with human serum albumin (HSA) and cytochrome c (cyt-c). Interestingly, the Cu-doped TiO2 nanomaterial-based Mb biosensor displayed a higher sensitivity of 61.51 µAcm-2/nM and a lower detection limit of 14 pM with a response time of less than 10 ms.
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Affiliation(s)
- Ahmad Umar
- Department of Chemistry, Faculty of Science and Arts, Najran University, Najran 11001, Saudi Arabia
- Promising Centre for Sensors and Electronic Devices (PCSED), Najran University, Najran 11001, Saudi Arabia
- Department of Materials Science and Engineering, The Ohio State University, Columbus, OH 43210, USA
| | - Mazharul Haque
- Centre for Interdisciplinary Research in Basic Sciences, Jamia Millia Islamia, New Delhi 110025, India
| | - Shafeeque G. Ansari
- Centre for Interdisciplinary Research in Basic Sciences, Jamia Millia Islamia, New Delhi 110025, India
| | - Hyung-Kee Seo
- School of Chemical Engineering, Jeonbuk National University, Jeonju 56212, Republic of Korea
| | - Ahmed A. Ibrahim
- Department of Chemistry, Faculty of Science and Arts, Najran University, Najran 11001, Saudi Arabia
- Promising Centre for Sensors and Electronic Devices (PCSED), Najran University, Najran 11001, Saudi Arabia
| | - Mohsen A. M. Alhamami
- Department of Chemistry, Faculty of Science and Arts, Najran University, Najran 11001, Saudi Arabia
| | - Hassan Algadi
- Promising Centre for Sensors and Electronic Devices (PCSED), Najran University, Najran 11001, Saudi Arabia
- Department of Electrical Engineering, College of Engineering, Najran University, Najran 11001, Saudi Arabia
| | - Zubaida A. Ansari
- Centre for Interdisciplinary Research in Basic Sciences, Jamia Millia Islamia, New Delhi 110025, India
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Gharib G, Bütün İ, Muganlı Z, Kozalak G, Namlı İ, Sarraf SS, Ahmadi VE, Toyran E, van Wijnen AJ, Koşar A. Biomedical Applications of Microfluidic Devices: A Review. BIOSENSORS 2022; 12:bios12111023. [PMID: 36421141 PMCID: PMC9688231 DOI: 10.3390/bios12111023] [Citation(s) in RCA: 18] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/23/2022] [Revised: 10/30/2022] [Accepted: 11/08/2022] [Indexed: 05/26/2023]
Abstract
Both passive and active microfluidic chips are used in many biomedical and chemical applications to support fluid mixing, particle manipulations, and signal detection. Passive microfluidic devices are geometry-dependent, and their uses are rather limited. Active microfluidic devices include sensors or detectors that transduce chemical, biological, and physical changes into electrical or optical signals. Also, they are transduction devices that detect biological and chemical changes in biomedical applications, and they are highly versatile microfluidic tools for disease diagnosis and organ modeling. This review provides a comprehensive overview of the significant advances that have been made in the development of microfluidics devices. We will discuss the function of microfluidic devices as micromixers or as sorters of cells and substances (e.g., microfiltration, flow or displacement, and trapping). Microfluidic devices are fabricated using a range of techniques, including molding, etching, three-dimensional printing, and nanofabrication. Their broad utility lies in the detection of diagnostic biomarkers and organ-on-chip approaches that permit disease modeling in cancer, as well as uses in neurological, cardiovascular, hepatic, and pulmonary diseases. Biosensor applications allow for point-of-care testing, using assays based on enzymes, nanozymes, antibodies, or nucleic acids (DNA or RNA). An anticipated development in the field includes the optimization of techniques for the fabrication of microfluidic devices using biocompatible materials. These developments will increase biomedical versatility, reduce diagnostic costs, and accelerate diagnosis time of microfluidics technology.
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Affiliation(s)
- Ghazaleh Gharib
- Faculty of Engineering and Natural Science, Sabanci University, Istanbul 34956, Turkey
- Sabanci University Nanotechnology Research and Application Centre (SUNUM), Istanbul 34956, Turkey
- Center of Excellence for Functional Surfaces and Interfaces for Nano Diagnostics (EFSUN), Faculty of Engineering and Natural Sciences, Sabanci University, Istanbul 34956, Turkey
| | - İsmail Bütün
- Faculty of Engineering and Natural Science, Sabanci University, Istanbul 34956, Turkey
| | - Zülâl Muganlı
- Faculty of Engineering and Natural Science, Sabanci University, Istanbul 34956, Turkey
| | - Gül Kozalak
- Faculty of Engineering and Natural Science, Sabanci University, Istanbul 34956, Turkey
- Center of Excellence for Functional Surfaces and Interfaces for Nano Diagnostics (EFSUN), Faculty of Engineering and Natural Sciences, Sabanci University, Istanbul 34956, Turkey
| | - İlayda Namlı
- Faculty of Engineering and Natural Science, Sabanci University, Istanbul 34956, Turkey
| | | | | | - Erçil Toyran
- Faculty of Engineering and Natural Science, Sabanci University, Istanbul 34956, Turkey
| | - Andre J. van Wijnen
- Department of Biochemistry, University of Vermont, 89 Beaumont Avenue, Burlington, VT 05405, USA
| | - Ali Koşar
- Faculty of Engineering and Natural Science, Sabanci University, Istanbul 34956, Turkey
- Sabanci University Nanotechnology Research and Application Centre (SUNUM), Istanbul 34956, Turkey
- Center of Excellence for Functional Surfaces and Interfaces for Nano Diagnostics (EFSUN), Faculty of Engineering and Natural Sciences, Sabanci University, Istanbul 34956, Turkey
- Turkish Academy of Sciences (TÜBA), Çankaya, Ankara 06700, Turkey
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Li X, Wu M, Li J, Guo Q, Zhao Y, Zhang X. Advanced targeted nanomedicines for vulnerable atherosclerosis plaque imaging and their potential clinical implications. Front Pharmacol 2022; 13:906512. [PMID: 36313319 PMCID: PMC9606597 DOI: 10.3389/fphar.2022.906512] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2022] [Accepted: 09/20/2022] [Indexed: 12/24/2022] Open
Abstract
Atherosclerosis plaques caused by cerebrovascular and coronary artery disease have been the leading cause of death and morbidity worldwide. Precise assessment of the degree of atherosclerotic plaque is critical for predicting the risk of atherosclerosis plaques and monitoring postinterventional outcomes. However, traditional imaging techniques to predict cardiocerebrovascular events mainly depend on quantifying the percentage reduction in luminal diameter, which would immensely underestimate non-stenotic high-risk plaque. Identifying the degree of atherosclerosis plaques still remains highly limited. vNanomedicine-based imaging techniques present unique advantages over conventional techniques due to the superior properties intrinsic to nanoscope, which possess enormous potential for characterization and detection of the features of atherosclerosis plaque vulnerability. Here, we review recent advancements in the development of targeted nanomedicine-based approaches and their applications to atherosclerosis plaque imaging and risk stratification. Finally, the challenges and opportunities regarding the future development and clinical translation of the targeted nanomedicine in related fields are discussed.
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8
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Multiplexed sensing techniques for cardiovascular disease biomarkers - A review. Biosens Bioelectron 2022; 216:114680. [DOI: 10.1016/j.bios.2022.114680] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2022] [Revised: 08/21/2022] [Accepted: 08/29/2022] [Indexed: 01/02/2023]
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9
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Tang X, Zhu Y, Guan W, Zhou W, Wei P. Advances in nanosensors for cardiovascular disease detection. Life Sci 2022; 305:120733. [DOI: 10.1016/j.lfs.2022.120733] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2022] [Revised: 06/10/2022] [Accepted: 06/21/2022] [Indexed: 12/25/2022]
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10
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Liu X, Gan Y, Li F, Qiu Y, Pan Y, Wan H, Wang P. An Immunocolorimetric Sensing System for Highly Sensitive and High-Throughput Detection of BNP with Carbon-Gold Nanocomposites Amplification. BIOSENSORS 2022; 12:bios12080619. [PMID: 36005015 PMCID: PMC9405646 DOI: 10.3390/bios12080619] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/24/2022] [Revised: 08/04/2022] [Accepted: 08/04/2022] [Indexed: 11/17/2022]
Abstract
Conventional immunocolorimetric sensing of biomolecules continues to be challenged with low sensitivity although its wide application as a diagnostic tool in medicine and biotechnology. Herein, we present a multifunctional immunocolorimetric sensing system for sensitive and high-throughput detection of B-type natriuretic peptide (BNP) with carbon-gold nanocomposite (CGNs) amplification. Using a “green” strategy, monodisperse carbon nanospheres (CNs) were successfully synthesized by glucose carbonization. A simple and efficient hydrothermal method was developed to assemble abundant gold nanoparticles (AuNPs) onto the surfaces of CNs. The resulting CGNs were characterized and utilized for biomarker detection with superior properties of easy manufacturing, good biocompatibility, satisfactory chemical stability, and high loading capacity for biomolecules. As a proof of concept, the as-prepared CGNs were conjugated with horseradish peroxidase-labeled antibody against BNP (CGNs@AntiBNP-HRP) functioning as the carrier, signal amplifier, and detector for the sensitive detection of BNP. Under optimal conditions, the established CGNs@AntiBNP-HRP immunoprobe remarkably enhanced the detection performance of BNP, achieving signal amplification of more than 9 times compared to the conventional method. Based on our self-developed bionic electronic eye (e-Eye) and CGNs@AntiBNP-HRP immunoprobe, the multifunctional sensing system displayed a wide dynamic linear range of 3.9–500 ng/mL and a LOD of 0.640 ng/mL for BNP detection with high specificity, good accuracy and reproducibility. This portable sensing system with enhanced performance demonstrates great potential for BNP detection in point of care applications, and offers a universal and reliable platform for in vitro biomarker detection.
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Affiliation(s)
- Xin Liu
- Biosensor National Special Laboratory, Key Laboratory for Biomedical Engineering of Education Ministry, Department of Biomedical Engineering, Zhejiang University, Hangzhou 310027, China
- Cancer Centre, Zhejiang University, Hangzhou 310058, China
- Binjiang Institute, Zhejiang University, Hangzhou 310053, China
- State Key Laboratory of Transducer Technology, Chinese Academy of Sciences, Shanghai 200050, China
| | - Ying Gan
- School of Biomedical Engineering, Tianjin Medical University, Tianjin 300070, China
| | - Fengheng Li
- Biosensor National Special Laboratory, Key Laboratory for Biomedical Engineering of Education Ministry, Department of Biomedical Engineering, Zhejiang University, Hangzhou 310027, China
| | - Yong Qiu
- Biosensor National Special Laboratory, Key Laboratory for Biomedical Engineering of Education Ministry, Department of Biomedical Engineering, Zhejiang University, Hangzhou 310027, China
| | - Yuxiang Pan
- Research Institute of Intelligent Sensing, Zhejiang Lab, Hangzhou 310027, China
- Correspondence: (Y.P.); (H.W.); (P.W.)
| | - Hao Wan
- Biosensor National Special Laboratory, Key Laboratory for Biomedical Engineering of Education Ministry, Department of Biomedical Engineering, Zhejiang University, Hangzhou 310027, China
- Cancer Centre, Zhejiang University, Hangzhou 310058, China
- Binjiang Institute, Zhejiang University, Hangzhou 310053, China
- Correspondence: (Y.P.); (H.W.); (P.W.)
| | - Ping Wang
- Biosensor National Special Laboratory, Key Laboratory for Biomedical Engineering of Education Ministry, Department of Biomedical Engineering, Zhejiang University, Hangzhou 310027, China
- Cancer Centre, Zhejiang University, Hangzhou 310058, China
- Binjiang Institute, Zhejiang University, Hangzhou 310053, China
- State Key Laboratory of Transducer Technology, Chinese Academy of Sciences, Shanghai 200050, China
- Correspondence: (Y.P.); (H.W.); (P.W.)
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Hu Q, Fang Z, Ge J, Li H. Nanotechnology for Cardiovascular Diseases. Innovation (N Y) 2022; 3:100214. [PMID: 35243468 PMCID: PMC8866095 DOI: 10.1016/j.xinn.2022.100214] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2021] [Revised: 01/30/2022] [Accepted: 01/30/2022] [Indexed: 11/23/2022] Open
Abstract
Cardiovascular diseases have become the major killers in today's world, among which coronary artery diseases (CADs) make the greatest contributions to morbidity and mortality. Although state-of-the-art technologies have increased our knowledge of the cardiovascular system, the current diagnosis and treatment modalities for CADs still have limitations. As an emerging cross-disciplinary approach, nanotechnology has shown great potential for clinical use. In this review, recent advances in nanotechnology in the diagnosis of CADs will first be elucidated. Both the sensitivity and specificity of biosensors for biomarker detection and molecular imaging strategies, such as magnetic resonance imaging, optical imaging, nuclear scintigraphy, and multimodal imaging strategies, have been greatly increased with the assistance of nanomaterials. Second, various nanomaterials, such as liposomes, polymers (PLGA), inorganic nanoparticles (AuNPs, MnO2, etc.), natural nanoparticles (HDL, HA), and biomimetic nanoparticles (cell-membrane coating) will be discussed as engineered as drug (chemicals, proteins, peptides, and nucleic acids) carriers targeting pathological sites based on their optimal physicochemical properties and surface modification potential. Finally, some of these nanomaterials themselves are regarded as pharmaceuticals for the treatment of atherosclerosis because of their intrinsic antioxidative/anti-inflammatory and photoelectric/photothermal characteristics in a complex plaque microenvironment. In summary, novel nanotechnology-based research in the process of clinical transformation could continue to expand the horizon of nanoscale technologies in the diagnosis and therapy of CADs in the foreseeable future. Nanotechnology represents new viable approaches for diagnosis and treatment of cardiovascular diseases, the leading cause of morbidity and mortality worldwide Nanotechnology-assisted biosensing and molecular imaging can improve the sensitivity and specificity in the diagnosis of cardiovascular diseases Nanomaterials enable targeted drug delivery or directly exert therapeutic action for cardiovascular system, based on their physicochemical properties and surface modification
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Du X, Su X, Zhang W, Yi S, Zhang G, Jiang S, Li H, Li S, Xia F. Progress, Opportunities, and Challenges of Troponin Analysis in the Early Diagnosis of Cardiovascular Diseases. Anal Chem 2021; 94:442-463. [PMID: 34843218 DOI: 10.1021/acs.analchem.1c04476] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
- Xuewei Du
- State Key Laboratory of Biogeology Environmental Geology, Engineering Research Center of Nano-Geomaterials of Ministry of Education, Faculty of Materials Science and Chemistry, China University of Geosciences, Wuhan 430074, China
| | - Xujie Su
- State Key Laboratory of Biogeology Environmental Geology, Engineering Research Center of Nano-Geomaterials of Ministry of Education, Faculty of Materials Science and Chemistry, China University of Geosciences, Wuhan 430074, China
| | - Wanxue Zhang
- State Key Laboratory of Biogeology Environmental Geology, Engineering Research Center of Nano-Geomaterials of Ministry of Education, Faculty of Materials Science and Chemistry, China University of Geosciences, Wuhan 430074, China
| | - Suyan Yi
- State Key Laboratory of Biogeology Environmental Geology, Engineering Research Center of Nano-Geomaterials of Ministry of Education, Faculty of Materials Science and Chemistry, China University of Geosciences, Wuhan 430074, China
| | - Ge Zhang
- State Key Laboratory of Biogeology Environmental Geology, Engineering Research Center of Nano-Geomaterials of Ministry of Education, Faculty of Materials Science and Chemistry, China University of Geosciences, Wuhan 430074, China
| | - Shan Jiang
- State Key Laboratory of Biogeology Environmental Geology, Engineering Research Center of Nano-Geomaterials of Ministry of Education, Faculty of Materials Science and Chemistry, China University of Geosciences, Wuhan 430074, China
| | - Hui Li
- State Key Laboratory of Biogeology Environmental Geology, Engineering Research Center of Nano-Geomaterials of Ministry of Education, Faculty of Materials Science and Chemistry, China University of Geosciences, Wuhan 430074, China
| | - Shaoguang Li
- State Key Laboratory of Biogeology Environmental Geology, Engineering Research Center of Nano-Geomaterials of Ministry of Education, Faculty of Materials Science and Chemistry, China University of Geosciences, Wuhan 430074, China
| | - Fan Xia
- State Key Laboratory of Biogeology Environmental Geology, Engineering Research Center of Nano-Geomaterials of Ministry of Education, Faculty of Materials Science and Chemistry, China University of Geosciences, Wuhan 430074, China
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13
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He X, Ma Y, Xie H, Rao G, Yang Z, Zhang J, Feng Z. Biomimetic Nanostructure Platform for Cancer Diagnosis Based on Tumor Biomarkers. Front Bioeng Biotechnol 2021; 9:687664. [PMID: 34336803 PMCID: PMC8320534 DOI: 10.3389/fbioe.2021.687664] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2021] [Accepted: 06/07/2021] [Indexed: 12/11/2022] Open
Abstract
Biomarker discovery and its clinical use have attracted considerable attention since early cancer diagnosis can significantly decrease mortality. Cancer biomarkers include a wide range of biomolecules, such as nucleic acids, proteins, metabolites, sugars, and cytogenetic substances present in human biofluids. Except for free-circulating biomarkers, tumor-extracellular vesicles (tEVs) and circulating tumor cells (CTCs) can serve as biomarkers for the diagnosis and prognosis of various cancers. Considering the potential of tumor biomarkers in clinical settings, several bioinspired detection systems based on nanotechnologies are in the spotlight for detection. However, tremendous challenges remain in detection because of massive contamination, unstable signal-to-noise ratios due to heterogeneity, nonspecific bindings, or a lack of efficient amplification. To date, many approaches are under development to improve the sensitivity and specificity of tumor biomarker isolation and detection. Particularly, the exploration of natural materials in biological frames has encouraged researchers to develop new bioinspired and biomimetic nanostructures, which can mimic the natural processes to facilitate biomarker capture and detection in clinical settings. These platforms have substantial influence in biomedical applications, owing to their capture ability, significant contrast increase, high sensitivity, and specificity. In this review, we first describe the potential of tumor biomarkers in a liquid biopsy and then provide an overview of the progress of biomimetic nanostructure platforms to isolate and detect tumor biomarkers, including in vitro and in vivo studies. Capture efficiency, scale, amplification, sensitivity, and specificity are the criteria that will be further discussed for evaluating the capability of platforms. Bioinspired and biomimetic systems appear to have a bright future to settle obstacles encountered in tumor biomarker detection, thus enhancing effective cancer diagnosis.
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Affiliation(s)
- Xiping He
- Department of Rehabilitation Medicine, The Affiliated Wenling Hospital of Wenzhou Medical University, Wenling, China
| | - Yifan Ma
- Department of Chemical and Biomolecular Engineering, The Ohio State University, Columbus, OH, United States
| | - Haotian Xie
- Department of Mathematics, The Ohio State University, Columbus, OH, United States
| | - Gaofeng Rao
- Department of Rehabilitation Medicine, The Affiliated Wenling Hospital of Wenzhou Medical University, Wenling, China
| | - Zhaogang Yang
- Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX, United States
| | - Jingjing Zhang
- Department of Chemical and Biomolecular Engineering, The Ohio State University, Columbus, OH, United States
| | - Zhong Feng
- Department of Neurology, The Affiliated Wenling Hospital of Wenzhou Medical University, Wenling, China
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14
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Ma Y, Yang Z, Huntoon K, Jiang W, Kim BYS. Advanced Immunotherapy Approaches for Glioblastoma. ADVANCED THERAPEUTICS 2021. [DOI: 10.1002/adtp.202100046] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Affiliation(s)
- Yifan Ma
- Department of Biomedical Engineering The Ohio State University Columbus OH 43210 USA
| | - Zhaogang Yang
- Department of Radiation Oncology University of Texas Southwestern Medical Center Dallas TX 75235 USA
| | - Kristin Huntoon
- Department of Neurosurgery The University of Texas MD Anderson Cancer Center Houston TX 77030 USA
| | - Wen Jiang
- Department of Radiation Oncology University of Texas Southwestern Medical Center Dallas TX 75235 USA
- Department of Bioengineering University of Texas Southwestern Medical Center Dallas TX 75390 USA
| | - Betty Y. S. Kim
- Department of Neurosurgery The University of Texas MD Anderson Cancer Center Houston TX 77030 USA
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Abstract
Cardiovascular diseases (CVDs) are the world’s leading cause of mortality and represent a large contributor to the costs of medical care. Although tremendous progress has been made for the diagnosis of CVDs, there is an important need for more effective early diagnosis and the design of novel diagnostic methods. The diagnosis of CVDs generally relies on signs and symptoms depending on molecular imaging (MI) or on CVD-associated biomarkers. For early-stage CVDs, however, the reliability, specificity, and accuracy of the analysis is still problematic. Because of their unique chemical and physical properties, nanomaterial systems have been recognized as potential candidates to enhance the functional use of diagnostic instruments. Nanomaterials such as gold nanoparticles, carbon nanotubes, quantum dots, lipids, and polymeric nanoparticles represent novel sources to target CVDs. The special properties of nanomaterials including surface energy and topographies actively enhance the cellular response within CVDs. The availability of newly advanced techniques in nanomaterial science opens new avenues for the targeting of CVDs. The successful application of nanomaterials for CVDs needs a detailed understanding of both the disease and targeting moieties.
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Wang J, Liu Q, Xie H, Yang Z, Zhou H. Boosted EfficientNet: Detection of Lymph Node Metastases in Breast Cancer Using Convolutional Neural Networks. Cancers (Basel) 2021; 13:661. [PMID: 33562232 PMCID: PMC7915222 DOI: 10.3390/cancers13040661] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2020] [Revised: 01/30/2021] [Accepted: 02/03/2021] [Indexed: 12/14/2022] Open
Abstract
(1) Purpose: To improve the capability of EfficientNet, including developing a cropping method called Random Center Cropping (RCC) to retain the original image resolution and significant features on the images' center area, reducing the downsampling scale of EfficientNet to facilitate the small resolution images of RPCam datasets, and integrating attention and Feature Fusion (FF) mechanisms with EfficientNet to obtain features containing rich semantic information. (2) Methods: We adopt the Convolutional Neural Network (CNN) to detect and classify lymph node metastasis in breast cancer. (3) Results: Experiments illustrate that our methods significantly boost performance of basic CNN architectures, where the best-performed method achieves an accuracy of 97.96% ± 0.03% and an Area Under the Curve (AUC) of 99.68% ± 0.01% on RPCam datasets, respectively. (4) Conclusions: (1) To our limited knowledge, we are the only study to explore the power of EfficientNet on Metastatic Breast Cancer (MBC) classification, and elaborate experiments are conducted to compare the performance of EfficientNet with other state-of-the-art CNN models. It might provide inspiration for researchers who are interested in image-based diagnosis using Deep Learning (DL). (2) We design a novel data augmentation method named RCC to promote the data enrichment of small resolution datasets. (3) All of our four technological improvements boost the performance of the original EfficientNet.
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Affiliation(s)
- Jun Wang
- Department of Informatics, King’s College London, London WC2R 2LS, UK;
| | - Qianying Liu
- College of Management, Shenzhen University, Shenzhen 518060, China;
| | - Haotian Xie
- Department of Mathematics, The Ohio State University, Columbus, OH 43210, USA;
| | - Zhaogang Yang
- Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA
| | - Hefeng Zhou
- Department of Informatics, King’s College London, London WC2R 2LS, UK;
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