The circadian rhythm of viruses and its implications on susceptibility to infection

Blanco, José Ramón; Verdugo‐Sivianes, Eva M.; Amiama-Roig, Ana; Muñoz-Galván, Sandra

doi:10.1080/14787210.2022.2072296

Cited by 3 publications

(5 citation statements)

References 103 publications

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“…Numerous factors that synchronize peripheral clocks, including the autonomic nervous system, body temperature, fasting/feeding cycles, and cytokines and hormones, may impact viral-mediated pathologies [ 44 ]. Viruses can reprogramme cellular metabolism, affecting the mechanisms involved in circadian rhythm [ 45 ]. Chronobiology is important for designing therapeutic strategies against SARS-CoV-2 and COVID-19, and other viruses [ 46 ].…”

Section: The Problem Of Drug Resistance In Chronic Infection and The ...mentioning

confidence: 99%

Using chronobiology-based second-generation artificial intelligence digital system for overcoming antimicrobial drug resistance in chronic infections

et al. 2023

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Antimicrobial resistance results from the widespread use of antimicrobial agents and is a significant obstacle to the effectiveness of these agents. Numerous methods are used to overcome this problem with moderate success. Besides efforts of antimicrobial stewards, several artificial intelligence (AI)-based technologies are being explored for preventing resistance development. These first-generation systems mainly focus on improving patients’ adherence. Chronobiology is inherent in all biological systems. Host response to infections and pathogens activity are assumed to be affected by the circadian clock. This paper describes the problem of antimicrobial resistance and reviews some of the current AI technologies. We present the establishment of a second-generation AI chronobiology-based approach to help in preventing further resistance and possibly overcome existing resistance. An algorithm-controlled regimen that improves the long-term effectiveness of antimicrobial agents is being developed based on the implementation of variability in dosing and drug administration times. The method provides a means for ensuring a sustainable response and improved outcomes. Ongoing clinical trials determine the effectiveness of this second-generation system in chronic infections. Data from these studies are expected to shed light on a new aspect of resistance mechanisms and suggest methods for overcoming them. IMPORTANCE SECTION The paper presents the establishment of a second-generation AI chronobiology-based approach to help in preventing further resistance and possibly overcome existing resistance. Key messages Antimicrobial resistance results from the widespread use of antimicrobial agents and is a significant obstacle to the effectiveness of these agents. We present the establishment of a second-generation AI chronobiology-based approach to help in preventing further resistance and possibly overcome existing resistance.

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Section: The Problem Of Drug Resistance In Chronic Infection and The ...mentioning

confidence: 99%

Using chronobiology-based second-generation artificial intelligence digital system for overcoming antimicrobial drug resistance in chronic infections

et al. 2023

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“…It is common for algorithms to be trained using data from tertiary settings instead of primary care, which does not represent mild diseases well. It can have clinically significant effects, such as inflated case fatality estimates [ 132 ]. Overfitting training datasets and unforeseen errors from incidental variations or artifacts in input data can lead to bias in the algorithm’s output [ 133 ].…”

Section: Challenges In Healthcare Systems That Need To Be Accounted F...mentioning

confidence: 99%

“…ML learns from historical data, and those underrepresented in these data sets may receive inaccurate diagnoses, so real-world data validation is crucial [ 132 ]. The population bias results from a focus on common presentations involving a solid predisposition toward training sub-populations [ 127 , 135 , 136 ].…”

Section: Challenges In Healthcare Systems That Need To Be Accounted F...mentioning

confidence: 99%

The Constrained-Disorder Principle Assists in Overcoming Significant Challenges in Digital Health: Moving from “Nice to Have” to Mandatory Systems

Hurvitz,

Ilan

2023

Clinics and Practice

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The success of artificial intelligence depends on whether it can penetrate the boundaries of evidence-based medicine, the lack of policies, and the resistance of medical professionals to its use. The failure of digital health to meet expectations requires rethinking some of the challenges faced. We discuss some of the most significant challenges faced by patients, physicians, payers, pharmaceutical companies, and health systems in the digital world. The goal of healthcare systems is to improve outcomes. Assisting in diagnosing, collecting data, and simplifying processes is a “nice to have” tool, but it is not essential. Many of these systems have yet to be shown to improve outcomes. Current outcome-based expectations and economic constraints make “nice to have,” “assists,” and “ease processes” insufficient. Complex biological systems are defined by their inherent disorder, bounded by dynamic boundaries, as described by the constrained disorder principle (CDP). It provides a platform for correcting systems’ malfunctions by regulating their degree of variability. A CDP-based second-generation artificial intelligence system provides solutions to some challenges digital health faces. Therapeutic interventions are held to improve outcomes with these systems. In addition to improving clinically meaningful endpoints, CDP-based second-generation algorithms ensure patient and physician engagement and reduce the health system’s costs.

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“…A primary way of strengthening the virus' resistance is connected to the biological rhythm, which is used as a therapeutic strategy. The most fundamental and significant circadian rhythm is the cycle of sleep and wakefulness [9]. The hormone melatonin, which the brain primarily releases at night, supports the maintenance and rhythm regulation of the body's biological clock [10].…”

Section: Introductionmentioning

confidence: 99%

“…The hormone melatonin, which the brain primarily releases at night, supports the maintenance and rhythm regulation of the body's biological clock [10]. The immune system can combat viral infections when the lungs, heart, kidney, and brain have synchronized circadian rhythms [9]. On the other hand, a novel monoclonal antibody called bebtelovimab is intended for individuals with mild to severe COVID-19 disease severity [11].…”

Section: Introductionmentioning

confidence: 99%

The Concomitant Use o f Melatonin and Bebtelovimab as a Treatment Strategy for Omicron and Future Variants of Concern

Erdag¹

2022

Int J Pharm Res Allied Sci

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The number of hospitalizations and fatalities brought on by COVID-19 has considerably grown since the World Health Organization proclaimed the disease as a global pandemic. New combination therapy is required to lessen the risk of COVID-19 progression during this time when the danger of transmission rises as new Omicron subvariants arise. In this situation, it is critical to boost the immune system to combat highly inflammatory conditions like the cytokine storm brought on by COVID-19. Furthermore, if administered early in COVID-19 illness, monoclonal antibodies (mAbs) that neutralize SARS-CoV-2 can minimize the chance of hospitalization. LY-CoV1404 (bebtelovimab) is one of these mAbs that has recently gained prominence due to its ability to effectively neutralize the SARS-CoV-2 virus and protect binding to spike proteins of several variants including B.1.1.529 (Omicron) and its subvariants (BA.1, BA.1.1, and BA.2) with various essential receptor binding domain (RBD) mutations. This brief review emphasizes the advantages of combining melatonin with bebtelovimab, which has been demonstrated to be the most effective SARS-CoV-2 neutralizing monoclonal antibody against the Omicron variant in the management of COVID-19. This study suggests that the combination therapy for Omicron subvariants is beneficial and could be regarded as adjuvant therapy for COVID-19 disease.

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The circadian rhythm of viruses and its implications on susceptibility to infection

Cited by 3 publications

References 103 publications

Using chronobiology-based second-generation artificial intelligence digital system for overcoming antimicrobial drug resistance in chronic infections

Using chronobiology-based second-generation artificial intelligence digital system for overcoming antimicrobial drug resistance in chronic infections

The Constrained-Disorder Principle Assists in Overcoming Significant Challenges in Digital Health: Moving from “Nice to Have” to Mandatory Systems

The Concomitant Use o f Melatonin and Bebtelovimab as a Treatment Strategy for Omicron and Future Variants of Concern

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