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Markandan K, Tiong YW, Sankaran R, Subramanian S, Markandan UD, Chaudhary V, Numan A, Khalid M, Walvekar R. Emergence of infectious diseases and role of advanced nanomaterials in point-of-care diagnostics: a review. Biotechnol Genet Eng Rev 2022:1-89. [PMID: 36243900 DOI: 10.1080/02648725.2022.2127070] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2022] [Accepted: 09/12/2022] [Indexed: 11/09/2022]
Abstract
Infectious outbreaks are the foremost global public health concern, challenging the current healthcare system, which claims millions of lives annually. The most crucial way to control an infectious outbreak is by early detection through point-of-care (POC) diagnostics. POC diagnostics are highly advantageous owing to the prompt diagnosis, which is economical, simple and highly efficient with remote access capabilities. In particular, utilization of nanomaterials to architect POC devices has enabled highly integrated and portable (compact) devices with enhanced efficiency. As such, this review will detail the factors influencing the emergence of infectious diseases and methods for fast and accurate detection, thus elucidating the underlying factors of these infections. Furthermore, it comprehensively highlights the importance of different nanomaterials in POCs to detect nucleic acid, whole pathogens, proteins and antibody detection systems. Finally, we summarize findings reported on nanomaterials based on advanced POCs such as lab-on-chip, lab-on-disc-devices, point-of-action and hospital-on-chip. To this end, we discuss the challenges, potential solutions, prospects of integrating internet-of-things, artificial intelligence, 5G communications and data clouding to achieve intelligent POCs.
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Affiliation(s)
- Kalaimani Markandan
- Temasek Laboratories, Nanyang Technological University, Nanyang Drive, Singapore
- Faculty of Engineering, Technology and Built Environment, UCSI University, Kuala Lumpur, Malaysia
| | - Yong Wei Tiong
- NUS Environmental Research Institute, National University of Singapore, Engineering Drive, Singapore
| | - Revathy Sankaran
- Graduate School, University of Nottingham Malaysia Campus, Semenyih, Selangor, Malaysia
| | - Sakthinathan Subramanian
- Department of Materials & Mineral Resources Engineering, National Taipei University of Technology (NTUT), Taipei, Taiwan
| | | | - Vishal Chaudhary
- Research Cell & Department of Physics, Bhagini Nivedita College, University of Delhi, New Delhi, India
| | - Arshid Numan
- Graphene & Advanced 2D Materials Research Group (GAMRG), School of Engineering and Technology, Sunway University, Petaling Jaya, Selangor, Malaysia
- Sunway Materials Smart Science & Engineering (SMS2E) Research Cluster School of Engineering and Technology, Sunway University, Selangor, Malaysia
| | - Mohammad Khalid
- Graphene & Advanced 2D Materials Research Group (GAMRG), School of Engineering and Technology, Sunway University, Petaling Jaya, Selangor, Malaysia
- Sunway Materials Smart Science & Engineering (SMS2E) Research Cluster School of Engineering and Technology, Sunway University, Selangor, Malaysia
| | - Rashmi Walvekar
- Department of Chemical Engineering, School of Energy and Chemical Engineering, Xiamen University Malaysia, Sepang, Selangor, Malaysia
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Ramos RS, Macêdo WJC, Costa JS, da Silva CHTDP, Rosa JMC, da Cruz JN, de Oliveira MS, de Aguiar Andrade EH, E Silva RBL, Souto RNP, Santos CBR. Potential inhibitors of the enzyme acetylcholinesterase and juvenile hormone with insecticidal activity: study of the binding mode via docking and molecular dynamics simulations. J Biomol Struct Dyn 2019; 38:4687-4709. [PMID: 31674282 DOI: 10.1080/07391102.2019.1688192] [Citation(s) in RCA: 30] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
Abstract
Models validation in QSAR, pharmacophore, docking and others can ensure the accuracy and reliability of future predictions in design and selection of molecules with biological activity. In this study, pyriproxyfen was used as a pivot/template to search the database of the Maybridge Database for potential inhibitors of the enzymes acetylcholinesterase and juvenile hormone as well. The initial virtual screening based on the 3D shape resulted in 2000 molecules with Tanimoto index ranging from 0.58 to 0.88. A new reclassification was performed on the overlapping of positive and negative charges, which resulted in 100 molecules with Tanimoto's electrostatic score ranging from 0.627 to 0.87. Using parameters related to absorption, distribution, metabolism and excretion and the pivot molecule, the molecules selected in the previous stage were evaluated regarding these criteria, and 21 were then selected. The pharmacokinetic and toxicological properties were considered and for 12 molecules, the DEREK software not fired any alert of toxicity, which were thus considered satisfactory for prediction of biological activity using the Web server PASS. In the molecular docking with insect acetylcholinesterase, the Maybridge3_002654 molecule had binding affinity of -11.1 kcal/mol, whereas in human acetylcholinesterase, the Maybridge4_001571molecule show in silico affinity of -10.2 kcal/mol, and in the juvenile hormone, the molecule MCULE-8839595892 show in silico affinity value of -11.6 kcal/mol. Subsequent long-trajectory molecular dynamics studies indicated considerable stability of the novel molecules compared to the controls.AbbreviationsQSARquantitative structure-activity relationshipsPASSprediction of activity spectra for substancesCommunicated by Ramaswamy H. Sarma.
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Affiliation(s)
- Ryan S Ramos
- Graduate Program in Biotechnology and Biodiversity-Network BIONORTE, Federal University of Amapá, Macapá, Brazil.,Laboratory of Modeling and Computational Chemistry, Department of Biological and Health Sciences, Federal University of Amapá, Macapá, Brazil.,Laboratory of Molecular Modeling and Simulation System, Federal Rural University of Amazônia, Capanema, Brazil
| | - Williams J C Macêdo
- Laboratory of Modeling and Computational Chemistry, Department of Biological and Health Sciences, Federal University of Amapá, Macapá, Brazil.,Laboratory of Molecular Modeling and Simulation System, Federal Rural University of Amazônia, Capanema, Brazil
| | - Josivan S Costa
- Laboratory of Modeling and Computational Chemistry, Department of Biological and Health Sciences, Federal University of Amapá, Macapá, Brazil.,Laboratory of Molecular Modeling and Simulation System, Federal Rural University of Amazônia, Capanema, Brazil
| | - Carlos H T de P da Silva
- Computational Laboratory of Pharmaceutical Chemistry, Faculty of Pharmaceutical Sciences of Ribeirão Preto, São Paulo, Brazil
| | - Joaquín M C Rosa
- Department of Pharmaceutical Organic Chemistry, University of Granada, Granada, Spain
| | | | - Mozaniel S de Oliveira
- Program of Post-Graduation in Food Science and Technology, Federal University of Pará, Belém, Brazil
| | - Eloisa H de Aguiar Andrade
- Adolpho Ducke Laboratory, Emílio Goeldi Paraense Museum, Belém, Brazil.,Program of Post-Graduation in Biodiversity and Biotechnology (BIONORTE), Federal University of Pará, Belém, Brazil
| | - Raullyan B L E Silva
- Center of Biodiversity, Institute for Scientific and Technological Research of Amapá (IEPA), Brazil
| | | | - Cleydson B R Santos
- Graduate Program in Biotechnology and Biodiversity-Network BIONORTE, Federal University of Amapá, Macapá, Brazil.,Laboratory of Modeling and Computational Chemistry, Department of Biological and Health Sciences, Federal University of Amapá, Macapá, Brazil
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Pashchenko O, Shelby T, Banerjee T, Santra S. A Comparison of Optical, Electrochemical, Magnetic, and Colorimetric Point-of-Care Biosensors for Infectious Disease Diagnosis. ACS Infect Dis 2018; 4:1162-1178. [PMID: 29860830 PMCID: PMC6736529 DOI: 10.1021/acsinfecdis.8b00023] [Citation(s) in RCA: 115] [Impact Index Per Article: 19.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
Each year, infectious diseases are responsible for millions of deaths, most of which occur in the rural areas of developing countries. Many of the infectious disease diagnostic tools used today require a great deal of time, a laboratory setting, and trained personnel. Due to this, the need for effective point-of-care (POC) diagnostic tools is greatly increasing with an emphasis on affordability, portability, sensitivity, specificity, timeliness, and ease of use. In this Review, we discuss the various diagnostic modalities that have been utilized toward this end and are being further developed to create POC diagnostic technologies, and we focus on potential effectiveness in resource-limited settings. The main modalities discussed herein are optical-, electrochemical-, magnetic-, and colorimetric-based modalities utilized in diagnostic technologies for infectious diseases. Each of these modalities feature pros and cons when considering application in POC settings but, overall, reveal a promising outlook for the future of this field of technological development.
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Affiliation(s)
- Oleksandra Pashchenko
- Department of Chemistry, Pittsburg State University, 1701 South Broadway Street, Pittsburg, Kansas, 66762
| | - Tyler Shelby
- Department of Chemistry, Pittsburg State University, 1701 South Broadway Street, Pittsburg, Kansas, 66762
| | - Tuhina Banerjee
- Department of Chemistry, Pittsburg State University, 1701 South Broadway Street, Pittsburg, Kansas, 66762
| | - Santimukul Santra
- Department of Chemistry, Pittsburg State University, 1701 South Broadway Street, Pittsburg, Kansas, 66762
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