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Annamalai A, Karuppaiya V, Ezhumalai D, Cheruparambath P, Balakrishnan K, Venkatesan A. Nano-based techniques: A revolutionary approach to prevent covid-19 and enhancing human awareness. J Drug Deliv Sci Technol 2023; 86:104567. [PMID: 37313114 PMCID: PMC10183109 DOI: 10.1016/j.jddst.2023.104567] [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: 01/25/2023] [Revised: 04/22/2023] [Accepted: 05/13/2023] [Indexed: 06/15/2023]
Abstract
In every century of history, there are many new diseases emerged, which are not even cured by many developed countries. Today, despite of scientific development, new deadly pandemic diseases are caused by microorganisms. Hygiene is considered to be one of the best methods of avoiding such communicable diseases, especially viral diseases. Illness caused by SARS-CoV-2 was termed COVID-19 by the WHO, the acronym derived from "coronavirus disease 2019. The globe is living in the worst epidemic era, with the highest infection and mortality rate owing to COVID-19 reaching 6.89% (data up to March 2023). In recent years, nano biotechnology has become a promising and visible field of nanotechnology. Interestingly, nanotechnology is being used to cure many ailments and it has revolutionized many aspects of our lives. Several COVID-19 diagnostic approaches based on nanomaterial have been developed. The various metal NPs, it is highly anticipated that could be viable and economical alternatives for treating drug resistant in many deadly pandemic diseases in near future. This review focuses on an overview of nanotechnology's increasing involvement in the diagnosis, prevention, and therapy of COVID-19, also this review provides readers with an awareness and knowledge of importance of hygiene.
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Affiliation(s)
- Asaikkutti Annamalai
- Marine Biotechnology Laboratory, Department of Biotechnology, School of Life Sciences, Pondicherry University, Pondicherry, 605 014, Puducherry, India
| | - Vimala Karuppaiya
- Cancer Nanomedicine Laboratory, Department of Zoology, School of Life Sciences, Periyar University, Salem, 636 011, Tamil Nadu, India
| | - Dhineshkumar Ezhumalai
- Dr. Krishnamoorthi Foundation for Advanced Scientific Research, Vellore, 632 001, Tamil Nadu, India
- Manushyaa Blossom Private Limited, Chennai, 600 102, Tamil Nadu, India
| | | | - Kaviarasu Balakrishnan
- Dr. Krishnamoorthi Foundation for Advanced Scientific Research, Vellore, 632 001, Tamil Nadu, India
- Manushyaa Blossom Private Limited, Chennai, 600 102, Tamil Nadu, India
| | - Arul Venkatesan
- Marine Biotechnology Laboratory, Department of Biotechnology, School of Life Sciences, Pondicherry University, Pondicherry, 605 014, Puducherry, India
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Bhar A. The application of next generation sequencing technology in medical diagnostics: a perspective. PROCEEDINGS OF THE INDIAN NATIONAL SCIENCE ACADEMY 2022. [PMCID: PMC9395867 DOI: 10.1007/s43538-022-00098-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
Rapid isolation, characterization, and identification are prerequisites of any successful medical intervention to infectious disease treatment. This is a real challenge to the scientific as well as a medical community to find out a proper and robust method of pathogen detection. Classical cultural, as well as biochemical test-based identification, has its own limitations to their time-consuming and ineffectiveness for closely related pathovars. Molecular diagnostics became a popular alternative to classical techniques for the past couple of decades but it required some prior information to detect the pathogen successfully. Recently, with the advent of next-generation sequencing (NGS) technology identification, and characterization of almost all the pathogenic bacteria become possible without any information a priori. Metagenomic next generation sequencing is another specialized type of NGS that is profoundly utilized in medical biotechnology and diagnostics now a days. Therefore, the present review is focused on a brief introduction to NGS technology, its application in medical microbiology, and possible future aspects for the development of medical sciences.
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Affiliation(s)
- Anirban Bhar
- Post Graduate Department of Botany, Ramakrishna Mission Vivekananda Centenary College, Rahara, Kolkata 700118 India
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Bhar A, Jain A, Das S. Natural therapeutics against SARS CoV2: the potentiality and challenges. VEGETOS (BAREILLY, INDIA) 2022; 36:322-331. [PMID: 35729947 PMCID: PMC9198211 DOI: 10.1007/s42535-022-00401-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/22/2022] [Revised: 04/24/2022] [Accepted: 04/29/2022] [Indexed: 11/28/2022]
Abstract
The incidence of the COVID-19 pandemic completely reoriented global socio-economic parameters and human civilization have experienced the worst situation in the recent past. The rapid mutation rates in viruses have continuously been creating emerging variants of concerns (VOCs) which devastated different parts of the world with subsequent waves of infection. Although, series of antiviral drugs and vaccines were formulated but cent percent effectiveness of these drugs is still awaited. Many of these drugs have different side effects which necessitate proper trial before release. Plants are the storehouse of antimicrobial metabolites which have also long been utilized as traditional medicines against different viral infections. Although, proper mechanism of action of these traditional medicines are unknown, they may be a potential source of effective anti-COVID drug for future implications. Advanced bioinformatic applications have opened up a new arena in predicting these repurposed drugs as a potential COVID mitigator. The present review summarizes brief accounts of the corona virus with their possible entry mechanism. This study also tries to classify different possible anti COVID-19 plant-derived metabolites based on their probable mode of action. This review will surely provide useful information on repurposed drugs to combat COVID-19 in this critical situation.
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Affiliation(s)
- Anirban Bhar
- Post Graduate Department of Botany, Ramakrishna Mission Vivekananda Centenary College, Rahara, Kolkata, 700118 India
| | - Akansha Jain
- Division of Plant Biology, Bose Institute, Centenary Campus, P 1/12, CIT Scheme, VII-M, Kolkata, West Bengal 700054 India
| | - Sampa Das
- Division of Plant Biology, Bose Institute, Centenary Campus, P 1/12, CIT Scheme, VII-M, Kolkata, West Bengal 700054 India
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Brahmi F, Vejux A, Ghzaiel I, Ksila M, Zarrouk A, Ghrairi T, Essadek S, Mandard S, Leoni V, Poli G, Vervandier-Fasseur D, Kharoubi O, El Midaoui A, Atanasov AG, Meziane S, Latruffe N, Nasser B, Bouhaouala-Zahar B, Masmoudi-Kouki O, Madani K, Boulekbache-Makhlouf L, Lizard G. Role of Diet and Nutrients in SARS-CoV-2 Infection: Incidence on Oxidative Stress, Inflammatory Status and Viral Production. Nutrients 2022; 14:2194. [PMID: 35683996 PMCID: PMC9182601 DOI: 10.3390/nu14112194] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2022] [Revised: 05/10/2022] [Accepted: 05/17/2022] [Indexed: 11/17/2022] Open
Abstract
Coronavirus illness (COVID-19) is an infectious pathology generated by intense severe respiratory syndrome coronavirus 2 (SARS-CoV-2). This infectious disease has emerged in 2019. The COVID-19-associated pandemic has considerably affected the way of life and the economy in the world. It is consequently crucial to find solutions allowing remedying or alleviating the effects of this infectious disease. Natural products have been in perpetual application from immemorial time given that they are attested to be efficient towards several illnesses without major side effects. Various studies have shown that plant extracts or purified molecules have a promising inhibiting impact towards coronavirus. In addition, it is substantial to understand the characteristics, susceptibility and impact of diet on patients infected with COVID-19. In this review, we recapitulate the influence of extracts or pure molecules from medicinal plants on COVID-19. We approach the possibilities of plant treatment/co-treatment and feeding applied to COVID-19. We also show coronavirus susceptibility and complications associated with nutrient deficiencies and then discuss the major food groups efficient on COVID-19 pathogenesis. Then, we covered emerging technologies using plant-based SARS-CoV-2 vaccine. We conclude by giving nutrient and plants curative therapy recommendations which are of potential interest in the COVID-19 infection and could pave the way for pharmacological treatments or co-treatments of COVID-19.
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Affiliation(s)
- Fatiha Brahmi
- Laboratory Biomathématique, Biochimie, Biophysique et Scientométrie, Faculté des Sciences de la Nature et de la Vie, Université de Bejaia, Bejaia 06000, Algeria; (K.M.); (L.B.-M.)
| | - Anne Vejux
- Department of Biochemistry of the Peroxisome, Inflammation and Lipid Metabolism, University of Bourgogne Franche-Comte, 21000 Dijon, France; (A.V.); (I.G.); (M.K.); (S.E.); (N.L.)
| | - Imen Ghzaiel
- Department of Biochemistry of the Peroxisome, Inflammation and Lipid Metabolism, University of Bourgogne Franche-Comte, 21000 Dijon, France; (A.V.); (I.G.); (M.K.); (S.E.); (N.L.)
- Lab-NAFS ‘Nutrition-Functional Food & Vascular Health’, Faculty of Medicine, LR12ES05, University Monastir, Monastir 5000, Tunisia;
| | - Mohamed Ksila
- Department of Biochemistry of the Peroxisome, Inflammation and Lipid Metabolism, University of Bourgogne Franche-Comte, 21000 Dijon, France; (A.V.); (I.G.); (M.K.); (S.E.); (N.L.)
- Laboratory of Neurophysiology, Cellular Physiopathology and Valorisation of Biomolecules, (LR18ES03), Department of Biology, Faculty of Sciences, University Tunis El Manar, Tunis 2092, Tunisia; (T.G.); (O.M.-K.)
| | - Amira Zarrouk
- Lab-NAFS ‘Nutrition-Functional Food & Vascular Health’, Faculty of Medicine, LR12ES05, University Monastir, Monastir 5000, Tunisia;
- Laboratory of Biochemistry, Faculty of Medicine, University of Sousse, Sousse 4000, Tunisia
| | - Taoufik Ghrairi
- Laboratory of Neurophysiology, Cellular Physiopathology and Valorisation of Biomolecules, (LR18ES03), Department of Biology, Faculty of Sciences, University Tunis El Manar, Tunis 2092, Tunisia; (T.G.); (O.M.-K.)
| | - Soukena Essadek
- Department of Biochemistry of the Peroxisome, Inflammation and Lipid Metabolism, University of Bourgogne Franche-Comte, 21000 Dijon, France; (A.V.); (I.G.); (M.K.); (S.E.); (N.L.)
- Laboratory Neuroscience and Biochemistry, University of Hassan 1st, Settat 26000, Morocco;
| | - Stéphane Mandard
- Lipness Team and LipSTIC LabEx, UFR Sciences de Santé, INSERM/University of Bourgogne Franche-Comté LNC UMR1231, 21000 Dijon, France;
| | - Valerio Leoni
- Department of Laboratory Medicine, University of Milano-Bicocca, Azienda Socio Sanitaria Territoriale Brianza ASST-Brianza, Desio Hospital, Via Mazzini 1, 20833 Desio, Italy;
| | - Giuseppe Poli
- Department of Clinical and Biological Sciences, San Luigi Hospital, University of Turin, 10043 Orbassano (Turin), Italy;
| | - Dominique Vervandier-Fasseur
- Team OCS, Institute of Molecular Chemistry of University of Burgundy (ICMUB UMR CNRS 6302), University of Bourgogne Franche-Comté, 21000 Dijon, France;
| | - Omar Kharoubi
- Laboratory of Experimental Biotoxicology, Biodepollution and Phytoremediation, Faculty of Life and Natural Sciences, University Oran 1 ABB, Oran 31000, Algeria;
| | - Adil El Midaoui
- Department of Pharmacology and Physiology, Faculty of Medicine, University of Montreal, Montreal, QC H3C 3J7, Canada;
- Faculty of Sciences and Techniques, Moulay Ismail University of Meknes, Errachidia 52000, Morocco
| | - Atanas G. Atanasov
- Institute of Genetics and Animal Breeding of the Polish Academy of Sciences, Jastrzebiec, 05-552 Magdalenka, Poland;
| | - Smail Meziane
- Institut Européen des Antioxydants, 1b Rue Victor de Lespinats, 54230 Neuves-Maison, France;
| | - Norbert Latruffe
- Department of Biochemistry of the Peroxisome, Inflammation and Lipid Metabolism, University of Bourgogne Franche-Comte, 21000 Dijon, France; (A.V.); (I.G.); (M.K.); (S.E.); (N.L.)
| | - Boubker Nasser
- Laboratory Neuroscience and Biochemistry, University of Hassan 1st, Settat 26000, Morocco;
| | - Balkiss Bouhaouala-Zahar
- Laboratory of Biomolecules, Venoms and Theranostic Applications, Pasteur Institute of Tunis, University of Tunis El Manar, Tunis 1002, Tunisia;
| | - Olfa Masmoudi-Kouki
- Laboratory of Neurophysiology, Cellular Physiopathology and Valorisation of Biomolecules, (LR18ES03), Department of Biology, Faculty of Sciences, University Tunis El Manar, Tunis 2092, Tunisia; (T.G.); (O.M.-K.)
| | - Khodir Madani
- Laboratory Biomathématique, Biochimie, Biophysique et Scientométrie, Faculté des Sciences de la Nature et de la Vie, Université de Bejaia, Bejaia 06000, Algeria; (K.M.); (L.B.-M.)
- Centre de Recherche en Technologie des Industries Agroalimentaires, Route de Targua Ouzemour, Bejaia 06000, Algeria
| | - Lila Boulekbache-Makhlouf
- Laboratory Biomathématique, Biochimie, Biophysique et Scientométrie, Faculté des Sciences de la Nature et de la Vie, Université de Bejaia, Bejaia 06000, Algeria; (K.M.); (L.B.-M.)
| | - Gérard Lizard
- Department of Biochemistry of the Peroxisome, Inflammation and Lipid Metabolism, University of Bourgogne Franche-Comte, 21000 Dijon, France; (A.V.); (I.G.); (M.K.); (S.E.); (N.L.)
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Jalil Z, Abbasi A, Javed AR, Badruddin Khan M, Abul Hasanat MH, Malik KM, Saudagar AKJ. COVID-19 Related Sentiment Analysis Using State-of-the-Art Machine Learning and Deep Learning Techniques. Front Public Health 2022; 9:812735. [PMID: 35096755 PMCID: PMC8795663 DOI: 10.3389/fpubh.2021.812735] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2021] [Accepted: 12/15/2021] [Indexed: 12/22/2022] Open
Abstract
The coronavirus disease 2019 (COVID-19) pandemic has influenced the everyday life of people around the globe. In general and during lockdown phases, people worldwide use social media network to state their viewpoints and general feelings concerning the pandemic that has hampered their daily lives. Twitter is one of the most commonly used social media platforms, and it showed a massive increase in tweets related to coronavirus, including positive, negative, and neutral tweets, in a minimal period. The researchers move toward the sentiment analysis and analyze the various emotions of the public toward COVID-19 due to the diverse nature of tweets. Meanwhile, people have expressed their feelings regarding the vaccinations' safety and effectiveness on social networking sites such as Twitter. As an advanced step, in this paper, our proposed approach analyzes COVID-19 by focusing on Twitter users who share their opinions on this social media networking site. The proposed approach analyzes collected tweets' sentiments for sentiment classification using various feature sets and classifiers. The early detection of COVID-19 sentiments from collected tweets allow for a better understanding and handling of the pandemic. Tweets are categorized into positive, negative, and neutral sentiment classes. We evaluate the performance of machine learning (ML) and deep learning (DL) classifiers using evaluation metrics (i.e., accuracy, precision, recall, and F1-score). Experiments prove that the proposed approach provides better accuracy of 96.66, 95.22, 94.33, and 93.88% for COVISenti, COVIDSenti_A, COVIDSenti_B, and COVIDSenti_C, respectively, compared to all other methods used in this study as well as compared to the existing approaches and traditional ML and DL algorithms.
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Affiliation(s)
- Zunera Jalil
- Department of Cyber Security, Air University, Islamabad, Pakistan
| | - Ahmed Abbasi
- Department of Cyber Security, Air University, Islamabad, Pakistan
| | | | - Muhammad Badruddin Khan
- Information Systems Department, College of Computer and Information Sciences, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, Saudi Arabia
| | - Mozaherul Hoque Abul Hasanat
- Information Systems Department, College of Computer and Information Sciences, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, Saudi Arabia
| | - Khalid Mahmood Malik
- Department of Computer Science and Engineering, Oakland University Rochester, Rochester, MI, United States
| | - Abdul Khader Jilani Saudagar
- Information Systems Department, College of Computer and Information Sciences, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, Saudi Arabia
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