Showing posts with label Research Topic. Show all posts
Showing posts with label Research Topic. Show all posts

Thursday, 5 January 2023

research topic

About this Research Topic


Beginning in December 2019, the world saw the rise and rapid spread of the COVID-19 disease, which eventually became a global pandemic. The first wave and second waves were very severe, causing widespread mortality. Subsequent waves - the third and fourth waves - though not as severe, have also seen fatalities. The development of vaccines and improved knowledge greatly contributed to the reduction in severity and fatality. However, a new problem has emerged. One of the characteristic features of COVID-19 disease was hyper-inflammation. This hyper-inflammation involved multiple inflammatory pathways and was characterized by elevated levels of cytokines, promoting coagulation dysfunction, causing tissue damage, sepsis and organ failure. It has been well established that this was one of the mechanisms the causative agent of COVID-19, SARS-CoV-2 exploited. The widespread, uncontrolled inflammation was the major cause of disease severity and mortality and a chief reason that anti-inflammatory drugs such as corticosteroids and monoclonal antibodies targeting signaling pathways formed a major part of the treatment of COVID-19.


As the pandemic gradually recedes, its after-effects are being observed. Heart and kidney disease, gastrointestinal and neurological issues are being reported to name a few. An important underlying condition has been detected- multisystem inflammatory syndrome (MIS). In this condition, the hyperinflammation observed during the COVID-19 disease remains unresolved. The body is unable to address this hyperinflammation appropriately after the COVID-19 disease subsides. As a result, the body does not return to its former state, as it was before the SARS-CoV-2 infection. There is still a residual level of inflammation and inflammatory cytokines, and the body remains in an inflammatory state. This may explain the sudden deaths due to cardiac arrests observed in numerous COVID-19 patients after initial recovery. Many COVID-19 patients also develop acute kidney disease and, in some cases, suffer renal failure after their initial recovery. The neurological issues and gastrointestinal disturbances also can be traced back to this inflammatory state.

The anti-inflammatory activity of many medicinal plants has been well established. Different traditional systems of medicine, including traditional Indian medicine (TIM), traditional Chinese medicine (TCM), traditional African medicine (TAM), and ancient Persian medicine use these anti-inflammatory plants, extracts, and formulations for the treatment of disease. Some of these medicinal plants with known anti-inflammatory activity may also form a part of the diet; including turmeric, cumin, fenugreek, ginger, and garlic. Nutrition also plays a key role in the inflammatory state of the body. Some foods may promote inflammation while others can help reduce inflammation. During COVID-19 disease, in some countries, the traditional systems of medicine were employed in conjunction with the regular treatment protocols prescribed by standard agencies (the WHO and respective government agencies). Dietary interventions such as diets rich in anti-inflammatory components and the use of supplements were another facet of the treatment of COVID-19.

Data science and machine learning are important tools that help in the prediction and risk mitigation of the occurrence of disease. Several studies using data science and machine learning to predict the occurrence and severity of COVID-19 were attempted. Additionally, the different immunological signatures observed during inflammation can be used to predict the likelihood of a patient developing multisystem inflammatory syndrome, post-COVID-19.

With this being an interdisciplinary research topic, we invite contributions from researchers and colleagues, focusing particularly on the multisystem inflammatory syndrome observed post-COVID-19, the role of ethnopharmacology, nutrition and diet for mitigation, and data science for prediction.

Specific themes include:

• Multisystem inflammatory syndrome in children and adults post COVID-19.

• Medicinal plants, extracts, and formulations as anti-inflammatory agents that can help reduce inflammation.

• Nutritional and dietary modifications that influence inflammation and inflammatory state of the body.

• Role of data science in the prediction of the possible occurrence of multisystem inflammatory syndrome post COVID-19.

All the manuscripts submitted to the collection will need to fully comply with the Four Pillars of Best Practice in Ethnopharmacology (you can freely download the full version here).). We also expect that the MS follow the standards established in the ConPhyMP statement Front. Pharmacol. 13:953205.

Wednesday, 27 May 2020

Frontiers Research Topic: "Coronavirus Disease (COVID-19): Diet, Inflammation and Nutritional Status"

About Frontiers Research Topics

With their unique mixes of varied contributions from Original Research to Review Articles, Research Topics unify the most influential researchers, the latest key findings and historical advances in a hot research area!

About this Research Topic

COVID-19 is an infectious disease caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) that has had a significant impact on the way in which we live our lives. Whilst the vast majority of people infected with COVID-19 experience mild symptoms and can recover without the need for hospitalization, it has become increasingly clear that those with pre-existing noncommunicable diseases such as diabetes mellitus, chronic lung diseases, cardiovascular disease and obesity are at increased risk of severe illness and mortality.

The potential for specific foods and nutrients to affect COVID-19 severity and outcomes is gathering increasing interest from the scientific community, as well as the general population and mass media. Given that a common complication in patients with severe COVID-19, and individuals with noncommunicable diseases, is excessive inflammation, foods with anti-inflammatory properties may possess a protective role. Likewise, the role of nutritional status and other nutrients, such as selenium, vitamin D and vitamin C has gathered attention, with vitamin D and selenium deficiency recently linked to COVID-19 severity. Nevertheless, the potential for supplementation of specific foods and nutrients to act as a protective measure against COVID-19 remains a topic of debate.

The goal of this Research Topic is to gather Original Research articles and Reviews which will improve our understanding of diet, specific foods and nutritional status in relation to COVID-19 severity and outcomes. While we expect submissions are likely to be on the preventative role of specific foods and nutrients, submissions on the role of nutrition in treating COVID-19 will also be considered if conducted with scientific rigor.

Welcome subtopics include (but are not limited to):
• Immunological and anti-inflammatory properties of food
• Specific food components and COVID-19 outcomes
• Mechanisms by which specific foods/nutrients may affect COVID-19 severity and outcomes
• Relationship between micronutrient deficiencies and COVID-19
• Nutritional supplementation and COVID-19 outcomes
• Nutritional status and its relationship with COVID-19 severity and outcomes

Due to the exceptional nature of the COVID-19 situation, Frontiers is waiving all article publishing charges for COVID-19 related research in this Research Topic until the 31st of July 2020.

Keywords: COVID-19, Inflammatory, Micronutrients, Selenium, Vitamin

Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review. 




Participating Journals

Manuscripts can be submitted to this Research Topic via the following journals: