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Capó X, Annunziata G, Jiménez-Garcia M, Muscogiuri G, Barrea L. COVID-19 and endocrine disorders: a potential new trigger. Minerva Med 2023; 114:767-769. [PMID: 37800449 DOI: 10.23736/s0026-4806.23.08936-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/07/2023]
Affiliation(s)
- Xavier Capó
- Translational Research in Aging and Longevity (TRIAL) Group, Health Research Institute of the Balearic Islands (IdISBa), Palma, Spain
| | - Giuseppe Annunziata
- Department of Experimental Medicine, Università degli Studi della Campania "Luigi Vanvitelli", Naples, Italy
| | - Manuel Jiménez-Garcia
- Group of Neurophysiology, Department of Biology, Faculty of Science, University of the Balearic Islands, Palma, Spain -
- Group of Neurophysiology, Behavioral Studies and Biomarkers, Health Research Institute of the Balearic Islands (IdISBa), Palma, Spain
| | - Giovanna Muscogiuri
- Unit of Endocrinology, Diabetology and Andrology, Department of Clinical Medicine and Surgery, University of Naples Federico II, Naples, Italy
- Cattedra Unesco "Educazione alla Salute e allo Sviluppo Sostenibile", University of Naples Federico II, Naples, Italy
| | - Luigi Barrea
- Dipartimento di Scienze Umanistiche, Università Telematica Pegaso, Naples, Italy
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Askari H, Rabiei F, Lohrasbi F, Ghadir S, Ghasemi-Kasman M. The Latest Cellular and Molecular Mechanisms of COVID-19 on Non-Lung Organs. Brain Sci 2023; 13:brainsci13030415. [PMID: 36979225 PMCID: PMC10046222 DOI: 10.3390/brainsci13030415] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2023] [Revised: 02/24/2023] [Accepted: 02/25/2023] [Indexed: 03/06/2023] Open
Abstract
Understanding the transmission pathways of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) will aid in developing effective therapies directed at the virus’s life cycle or its side effects. While severe respiratory distress is the most common symptom of a coronavirus 2019 (COVID-19) infection, the virus is also known to cause damage to almost every major organ and system in the body. However, it is not obvious whether pathological changes in extra-respiratory organs are caused by direct infection, indirect, or combination of these effects. In this narrative review, we first elaborate on the characteristics of SARS-CoV-2, followed by the mechanisms of this virus on various organs such as brain, eye, and olfactory nerve and different systems such as the endocrine and gastrointestinal systems.
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Affiliation(s)
- Hamid Askari
- Student Research Committee, Babol University of Medical Sciences, Babol 47176-47745, Iran
| | - Fatemeh Rabiei
- Student Research Committee, Babol University of Medical Sciences, Babol 47176-47745, Iran
| | - Fatemeh Lohrasbi
- Student Research Committee, Babol University of Medical Sciences, Babol 47176-47745, Iran
| | - Sara Ghadir
- Student Research Committee, Babol University of Medical Sciences, Babol 47176-47745, Iran
| | - Maryam Ghasemi-Kasman
- Cellular and Molecular Biology Research Center, Health Research Institute, Babol University of Medical Sciences, Babol 47176-47745, Iran
- Department of Physiology, School of Medicine, Babol University of Medical Sciences, Babol 47176-47745, Iran
- Correspondence: ; Tel./Fax: +98-11-32190557
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Ismail L, Materwala H, Al Hammadi Y, Firouzi F, Khan G, Azzuhri SRB. Automated artificial intelligence-enabled proactive preparedness real-time system for accurate prediction of COVID-19 infections— Performance evaluation. Front Med (Lausanne) 2022; 9:871885. [PMID: 36111116 PMCID: PMC9468324 DOI: 10.3389/fmed.2022.871885] [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] [Received: 02/08/2022] [Accepted: 08/01/2022] [Indexed: 11/19/2022] Open
Abstract
COVID-19 is a contagious disease that has infected over half a billion people worldwide. Due to the rapid spread of the virus, countries are facing challenges to cope with the infection growth. In particular, healthcare organizations face difficulties efficiently provisioning medical staff, equipment, hospital beds, and quarantine centers. Machine and deep learning models have been used to predict infections, but the selection of the model is challenging for a data analyst. This paper proposes an automated Artificial Intelligence-enabled proactive preparedness real-time system that selects a learning model based on the temporal distribution of the evolution of infection. The proposed system integrates a novel methodology in determining the suitable learning model, producing an accurate forecasting algorithm with no human intervention. Numerical experiments and comparative analysis were carried out between our proposed and state-of-the-art approaches. The results show that the proposed system predicts infections with 72.1% less Mean Absolute Percentage Error (MAPE) and 65.2% lower Root Mean Square Error (RMSE) on average than state-of-the-art approaches.
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Affiliation(s)
- Leila Ismail
- Intelligent Distributed Computing and Systems (INDUCE) Laboratory, College of Information Technology, United Arab Emirates University, Al Ain, United Arab Emirates
- Department of Computer Science and Software Engineering, College of Information Technology, United Arab Emirates University, Al Ain, United Arab Emirates
- National Water and Energy Center, United Arab Emirates University, Al Ain, United Arab Emirates
- *Correspondence: Leila Ismail,
| | - Huned Materwala
- Intelligent Distributed Computing and Systems (INDUCE) Laboratory, College of Information Technology, United Arab Emirates University, Al Ain, United Arab Emirates
- Department of Computer Science and Software Engineering, College of Information Technology, United Arab Emirates University, Al Ain, United Arab Emirates
- National Water and Energy Center, United Arab Emirates University, Al Ain, United Arab Emirates
| | - Yousef Al Hammadi
- Intelligent Distributed Computing and Systems (INDUCE) Laboratory, College of Information Technology, United Arab Emirates University, Al Ain, United Arab Emirates
- Department of Information System and Security, College of Information Technology, United Arab Emirates University, Al Ain, United Arab Emirates
| | - Farshad Firouzi
- Department of Electrical and Computer Engineering, Duke University, Durham, NC, United States
| | - Gulfaraz Khan
- Department Medical Microbiology and Immunology, College of Medicine and Health Sciences, Tawam Hospital, Al Ain, United Arab Emirates
| | - Saaidal Razalli Bin Azzuhri
- Department of Computer System and Technology, Faculty of Computer Science and Information Technology, University of Malaya, Kuala Lumpur, Malaysia
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Clemente-Suárez VJ, Ramos-Campo DJ, Mielgo-Ayuso J, Dalamitros AA, Nikolaidis PA, Hormeño-Holgado A, Tornero-Aguilera JF. Nutrition in the Actual COVID-19 Pandemic. A Narrative Review. Nutrients 2021; 13:1924. [PMID: 34205138 PMCID: PMC8228835 DOI: 10.3390/nu13061924] [Citation(s) in RCA: 59] [Impact Index Per Article: 19.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2021] [Revised: 05/27/2021] [Accepted: 05/31/2021] [Indexed: 02/08/2023] Open
Abstract
The pandemic of Coronavirus Disease 2019 (COVID-19) has shocked world health authorities generating a global health crisis. The present study discusses the main finding in nutrition sciences associated with COVID-19 in the literature. We conducted a consensus critical review using primary sources, scientific articles, and secondary bibliographic indexes, databases, and web pages. The method was a narrative literature review of the available literature regarding nutrition interventions and nutrition-related factors during the COVID-19 pandemic. The main search engines used in the present research were PubMed, SciELO, and Google Scholar. We found how the COVID-19 lockdown promoted unhealthy dietary changes and increases in body weight of the population, showing obesity and low physical activity levels as increased risk factors of COVID-19 affection and physiopathology. In addition, hospitalized COVID-19 patients presented malnutrition and deficiencies in vitamin C, D, B12 selenium, iron, omega-3, and medium and long-chain fatty acids highlighting the potential health effect of vitamin C and D interventions. Further investigations are needed to show the complete role and implications of nutrition both in the prevention and in the treatment of patients with COVID-19.
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Affiliation(s)
- Vicente Javier Clemente-Suárez
- Faculty of Sports Sciences, Universidad Europea de Madrid, Tajo Street, s/n, 28670 Madrid, Spain;
- Grupo de Investigación en Cultura, Educación y Sociedad, Universidad de la Costa, 080002 Barranquilla, Colombia
- Studies Centre in Applied Combat (CESCA), 45007 Toledo, Spain;
| | | | - Juan Mielgo-Ayuso
- Department of Health Sciences, Faculty of Health Sciences, University of Burgos, 09001 Burgos, Spain;
| | - Athanasios A. Dalamitros
- Laboratory of Evaluation of Human Biological Performance, School of Physical Education and Sport Sciences, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece;
| | | | | | - Jose Francisco Tornero-Aguilera
- Faculty of Sports Sciences, Universidad Europea de Madrid, Tajo Street, s/n, 28670 Madrid, Spain;
- Studies Centre in Applied Combat (CESCA), 45007 Toledo, Spain;
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