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Lawrence SM, Goshia T, Sinha M, Fraley SI, Williams M. Decoding human cytomegalovirus for the development of innovative diagnostics to detect congenital infection. Pediatr Res 2024; 95:532-542. [PMID: 38146009 PMCID: PMC10837078 DOI: 10.1038/s41390-023-02957-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/02/2023] [Revised: 11/14/2023] [Accepted: 11/27/2023] [Indexed: 12/27/2023]
Abstract
Cytomegalovirus is the most common cause of congenital infectious disease and the leading nongenetic etiology of sensorineural hearing loss. Although most infected neonates are asymptomatic at birth, congenital cytomegalovirus infection is responsible for nearly 400 infant deaths annually in the United States and may lead to significant long-term neurodevelopmental impairments in survivors. The resulting financial and social burdens of congenital cytomegalovirus infection have led many medical centers to initiate targeted testing after birth, with a growing advocacy to advance universal newborn screening. While no cures or vaccines are currently available to eliminate or prevent cytomegalovirus infection, much has been learned over the last five years regarding disease pathophysiology and viral replication cycles that may enable the development of innovative diagnostics and therapeutics. This Review will detail our current understanding of congenital cytomegalovirus infection, while focusing our discussion on routine and emerging diagnostics for viral detection, quantification, and long-term prognostication. IMPACT: This review highlights our current understanding of the fetal transmission of human cytomegalovirus. It details clinical signs and physical findings of congenital cytomegalovirus infection. This submission discusses currently available cytomegalovirus diagnostics and introduces emerging platforms that promise improved sensitivity, specificity, limit of detection, viral quantification, detection of genomic antiviral resistance, and infection staging (primary, latency, reactivation, reinfection).
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Affiliation(s)
- Shelley M Lawrence
- University of Utah, College of Medicine, Department of Pediatrics, Division of Neonatology, Salt Lake City, UT, USA.
| | - Tyler Goshia
- Department of Bioengineering, University of California, San Diego, San Diego, CA, USA
| | | | - Stephanie I Fraley
- Department of Bioengineering, University of California, San Diego, San Diego, CA, USA
| | - Marvin Williams
- University of Oklahoma, College of Medicine, Department of Obstetrics and Gynecology, Division of Fetal-Maternal Medicine, Oklahoma City, OK, USA
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Tavasolikejani S, Farazin A. The effect of increasing temperature on simulated nanocomposites reinforced with SWBNNs and its effect on characteristics related to mechanics and the physical attributes using the MDs approach. Heliyon 2023; 9:e21022. [PMID: 37867868 PMCID: PMC10587535 DOI: 10.1016/j.heliyon.2023.e21022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2023] [Revised: 10/12/2023] [Accepted: 10/12/2023] [Indexed: 10/24/2023] Open
Abstract
This study examines the effect of increasing temperature (300, 350, 400, 450 and 500 K) on simulated nanocomposites reinforced with exploration of the impact of single-walled boron nitride nanotubes (SWBNNTs) on both the mechanical properties (including Young's modulus, Poisson's ratio, shear modulus, and bulk modulus) and the physical property of density, achieved through molecular dynamics (MDs) simulations. MDs utilized to simulate nanocomposite models consisting of five case studies of SWBNNs with different chiralities (5, 0), (10, 0), (15, 0), (20, 0), and (25, 0) as the reinforcement and using thermoplastic polyurethane (TPU) as the common matrix. The results reveal that with increasing temperature and chiralities of SWBNNTs, the density and Poisson's ratio increase dramatically, and Young's, shear, and bulk moduli decrease continuously. At a consistent temperature, there is a noteworthy trend in the mechanical properties of SWBNNTs with various chiralities. This includes the increase in Young's modulus, Poisson's ratio, shear modulus, and bulk modulus in the simulated nanocomposite, ranging from SWBNNTs (5, 0) to (25, 0). Similarly, the physical property of density exhibits an increasing trend from SWBNNTs (5, 0) to (20, 0) and then decreases at SWBNNTs (25, 0). To validate the accuracy of these findings, a Radial Distribution Function (RDF) diagram is generated using Materials Studio software.
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Affiliation(s)
| | - Ashkan Farazin
- Department of Solid Mechanics, Faculty of Mechanical Engineering, University of Kashan, P.O. Box 87317-53153, Kashan, Iran
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Alzahrani KE, Assaifan AK, Al‐Gawati M, Alswieleh AM, Albrithen H, Alodhayb A. Microelectromechanical system-based biosensor for label-free detection of human cytomegalovirus. IET Nanobiotechnol 2022; 17:32-39. [PMID: 36537882 PMCID: PMC9932435 DOI: 10.1049/nbt2.12109] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2022] [Revised: 11/27/2022] [Accepted: 12/07/2022] [Indexed: 12/24/2022] Open
Abstract
The human cytomegalovirus (HCMV) is an asymptomatic common virus that is typically harmless, but in some cases, it can be life threatening. Thus, there is an urgent need to develop novel diagnostic methods and strengthen the efforts to combat this virus. A microcantilever-based biosensor functionalised with the UL83-antibody of HCMV (UL83-HCMV antibody) has been developed to detect the UL83-antigen of HCMV (UL83-HCMV antigen) at different concentrations ranging from 0.3 to 300 ng/ml. The response of the biosensor to the presence of UL83-HCMV antigen was measured through the shift in resonance frequency before and after antigen-antibody binding. The system shows a low detection limit of 84 pg/ml, which is comparable to traditional sensors, and a detection time of less than 15 min was achieved. The selectivity of the sensor was demonstrated using three different proteins with and without the UL83-HCMV antigen. The biosensor shows high selectivity for the UL83-HCMV antigen. Mass loading by the UL83-HCMV antigen was roughly estimated with a sensitivity of ∼30 fg/Hz. This technique is crucial for the fabrication of portable and low-cost biosensors that can be used in real-time monitoring and enables early medical diagnosis.
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Affiliation(s)
- Khalid E. Alzahrani
- Department of Physics and AstronomyCollege of ScienceKing Saud UniversityRiyadhSaudi Arabia,Biological and Environmental Sensing Research UnitKing Abdullah Institute for NanotechnologyKing Saud UniversityRiyadhSaudi Arabia
| | - Abdulaziz K. Assaifan
- Biological and Environmental Sensing Research UnitKing Abdullah Institute for NanotechnologyKing Saud UniversityRiyadhSaudi Arabia,Department of Biomedical TechnologyCollege of Applied Medical SciencesKing Saud UniversityRiyadhSaudi Arabia
| | - Mahmoud Al‐Gawati
- Department of Physics and AstronomyCollege of ScienceKing Saud UniversityRiyadhSaudi Arabia,Biological and Environmental Sensing Research UnitKing Abdullah Institute for NanotechnologyKing Saud UniversityRiyadhSaudi Arabia
| | - Abdullah M. Alswieleh
- Biological and Environmental Sensing Research UnitKing Abdullah Institute for NanotechnologyKing Saud UniversityRiyadhSaudi Arabia,Department of ChemistryCollege of ScienceKing Saud UniversityRiyadhSaudi Arabia
| | - Hamad Albrithen
- Department of Physics and AstronomyCollege of ScienceKing Saud UniversityRiyadhSaudi Arabia,Biological and Environmental Sensing Research UnitKing Abdullah Institute for NanotechnologyKing Saud UniversityRiyadhSaudi Arabia,Research Chair for Tribology, Surface, and Interface SciencesDepartment of Physics and AstronomyCollege of ScienceKing Saud UniversityRiyadhSaudi Arabia
| | - Abdullah Alodhayb
- Department of Physics and AstronomyCollege of ScienceKing Saud UniversityRiyadhSaudi Arabia,Biological and Environmental Sensing Research UnitKing Abdullah Institute for NanotechnologyKing Saud UniversityRiyadhSaudi Arabia,Research Chair for Tribology, Surface, and Interface SciencesDepartment of Physics and AstronomyCollege of ScienceKing Saud UniversityRiyadhSaudi Arabia
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Organic-inorganic hybrid nanoflowers: The known, the unknown, and the future. Adv Colloid Interface Sci 2022; 309:102780. [DOI: 10.1016/j.cis.2022.102780] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2022] [Revised: 09/01/2022] [Accepted: 09/19/2022] [Indexed: 01/10/2023]
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State of the Art in Smart Portable, Wearable, Ingestible and Implantable Devices for Health Status Monitoring and Disease Management. SENSORS 2022; 22:s22114228. [PMID: 35684847 PMCID: PMC9185336 DOI: 10.3390/s22114228] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/06/2022] [Revised: 05/25/2022] [Accepted: 05/26/2022] [Indexed: 02/01/2023]
Abstract
Several illnesses that are chronic and acute are becoming more relevant as the world's aging population expands, and the medical sector is transforming rapidly, as a consequence of which the need for "point-of-care" (POC), identification/detection, and real time management of health issues that have been required for a long time are increasing. Biomarkers are biological markers that help to detect status of health or disease. Biosensors' applications are for screening for early detection, chronic disease treatment, health management, and well-being surveillance. Smart devices that allow continual monitoring of vital biomarkers for physiological health monitoring, medical diagnosis, and assessment are becoming increasingly widespread in a variety of applications, ranging from biomedical to healthcare systems of surveillance and monitoring. The term "smart" is used due to the ability of these devices to extract data with intelligence and in real time. Wearable, implantable, ingestible, and portable devices can all be considered smart devices; this is due to their ability of smart interpretation of data, through their smart sensors or biosensors and indicators. Wearable and portable devices have progressed more and more in the shape of various accessories, integrated clothes, and body attachments and inserts. Moreover, implantable and ingestible devices allow for the medical diagnosis and treatment of patients using tiny sensors and biomedical gadgets or devices have become available, thus increasing the quality and efficacy of medical treatments by a significant margin. This article summarizes the state of the art in portable, wearable, ingestible, and implantable devices for health status monitoring and disease management and their possible applications. It also identifies some new technologies that have the potential to contribute to the development of personalized care. Further, these devices are non-invasive in nature, providing information with accuracy and in given time, thus making these devices important for the future use of humanity.
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Sharma P, Hasan MR, Mehto NK, Deepak, Bishoyi A, Narang J. 92 years of zinc oxide: has been studied by the scientific community since the 1930s- An overview. SENSORS INTERNATIONAL 2022. [DOI: 10.1016/j.sintl.2022.100182] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/17/2022] Open
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Graphene nanomaterials: The wondering material from synthesis to applications. SENSORS INTERNATIONAL 2022. [DOI: 10.1016/j.sintl.2022.100190] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
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Kumar N, Shetti NP, Jagannath S, Aminabhavi TM. Electrochemical sensors for the detection of SARS-CoV-2 virus. CHEMICAL ENGINEERING JOURNAL (LAUSANNE, SWITZERLAND : 1996) 2022; 430:132966. [PMID: 34690533 PMCID: PMC8525496 DOI: 10.1016/j.cej.2021.132966] [Citation(s) in RCA: 83] [Impact Index Per Article: 41.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/30/2021] [Revised: 09/29/2021] [Accepted: 10/10/2021] [Indexed: 05/09/2023]
Abstract
Coronavirus (COVID-19), a deadly pandemic has spread worldwide and created many global health issues. Though methods of its detection are being continuously developed for the early detection and monitoring of COVID-19, still there is need for more novel methods. The presently used methods include rapid antigen tests, serological surveys, reverse transcription-polymerase chain reaction (RT-PCR), artificial intelligence-based techniques, and assays based on sensors/biosensors. Of all these, RT-PCR test has high sensitivity and specificity though it requires more time for testing and need for skilled technicians. Recently, electrochemical sensors have been developed for rapid monitoring and detection of SARS-CoV-2 from the patient's biological fluid samples. This review covers the recently developed electrochemical sensors that are focused on the detection of viral nucleic acid, immunoglobulin, antigen, and the entire viral particles. In addition, we also compare and assess their detection limits, sensitivities and specificities for the identification and monitoring of COVID-19. Furthermore, this review will address the best practices for the development of electrochemical sensors such as electrode fouling, limit of detection/limit of quantification determination and verification.
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Affiliation(s)
- Neeraj Kumar
- Department of Inorganic and Physical Chemistry, Indian Institute of Science Bangalore 560012, India
| | - Nagaraj P Shetti
- School of Advanced Sciences, KLE Technological University, Hubballi 580 031, India
| | - Somanath Jagannath
- Laboratory of Molecular and Chemical Biology of Neurodegeneration, Brain Mind Institute, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
| | - Tejraj M Aminabhavi
- School of Advanced Sciences, KLE Technological University, Hubballi 580 031, India
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Lab-on-paper based devices for COVID-19 sensors. SENSING TOOLS AND TECHNIQUES FOR COVID-19 2022. [PMCID: PMC9335016 DOI: 10.1016/b978-0-323-90280-9.00006-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
In December 2019, a disease linked to the coronavirus (CoV) was identified in the capital of China’s Wuhan. When seen under an electron microscope, CoVs, which are enveloped positive-sense RNA viruses, appear like crown-shaped viruses. There are four subtypes of CoVs such as (a) alpha, (b) beta, (c) delta, (d) gamma CoV. Coronavirus disease is caused by the extreme acute respiratory syndrome coronavirus 2, which is caused by a beta coronavirus (-CoVs or Beta-CoVs) (SARS-CoV-2). Infected people may have fever of 38°C, cough, and shortness of breath. WHO officially called COVID-19, an abbreviated form of coronavirus disease 2019, on February 12, 2020.
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