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Obesity and the increased risk for COVID-19: mechanisms and nutritional management

Published online by Cambridge University Press:  13 November 2020

Ana Heloneida de Araújo Morais*
Affiliation:
Nutrition Postgraduate Program, Centre for Health Sciences, Federal University of Rio Grande do Norte, Natal, RN 59078-970, Brazil Biochemistry Postgraduate Program, Biosciences Centre, Federal University of Rio Grande do Norte, Natal, RN 59078-970, Brazil Department of Nutrition, Centre for Health Sciences, Federal University of Rio Grande do Norte, Natal, RN 59078-970, Brazil
Thais Sousa Passos
Affiliation:
Department of Nutrition, Centre for Health Sciences, Federal University of Rio Grande do Norte, Natal, RN 59078-970, Brazil
Sancha Helena de Lima Vale
Affiliation:
Department of Nutrition, Centre for Health Sciences, Federal University of Rio Grande do Norte, Natal, RN 59078-970, Brazil
Juliana Kelly da Silva Maia
Affiliation:
Nutrition Postgraduate Program, Centre for Health Sciences, Federal University of Rio Grande do Norte, Natal, RN 59078-970, Brazil Department of Nutrition, Centre for Health Sciences, Federal University of Rio Grande do Norte, Natal, RN 59078-970, Brazil
Bruna Leal Lima Maciel
Affiliation:
Nutrition Postgraduate Program, Centre for Health Sciences, Federal University of Rio Grande do Norte, Natal, RN 59078-970, Brazil Department of Nutrition, Centre for Health Sciences, Federal University of Rio Grande do Norte, Natal, RN 59078-970, Brazil
*
*Corresponding author: Ana Heloneida de Araújo Morais, email [email protected]
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Abstract

The global COVID-19 (coronavirus disease 2019) pandemic has become a complex problem that overlaps with a growing public health problem, obesity. Obesity alters different components of the innate and adaptive immune responses, creating a chronic and low-grade state of inflammation. Nutritional status is closely related to a better or worse prognosis of viral infections. Excess weight has been recognised as a risk factor for COVID-19 complications. In addition to the direct risk, obesity triggers other diseases such as diabetes and hypertension, increasing the risk of severe COVID-19. The present review explains the diets that induce obesity and the importance of different foods in this process. We also review tissue disruption in obesity, leading to impaired immune responses and the possible mechanisms by which obesity and its co-morbidities increase COVID-19 morbidity and mortality. Nutritional strategies that support the immune system in patients with obesity and with COVID-19 are also discussed in light of the available data, considering the severity of the infection. The discussions held may contribute to combating this global emergency and planning specific public health policy.

Type
Review Article
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
Copyright
© The Author(s), 2020. Published by Cambridge University Press on behalf of The Nutrition Society

Introduction

The global pandemic of COVID-19 (coronavirus disease 2019) caused by the SARS-CoV-2 (severe acute respiratory syndrome coronavirus 2) virus is a complex problem affecting society in several aspects, whether economic, social and especially health. There is no doubt that food plays a fundamental role in the population’s health–disease processes in general: the impact of nutrition on the immune system is well recognised(Reference Cena and Calder1).

Nutritional status is closely related to a better or worse prognosis of a disease, and this finding is no different for viral infections(Reference Calder, Carr and Gombart2), including COVID-19. Various nutrients, whether essential vitamins or minerals and the bioactive compounds found in the most diverse foods, especially in fresh or minimally processed foods, play crucial and complementary roles in supporting the immune system’s innate and adaptive processes(Reference Childs, Calder and Miles3,Reference Zhang and Liu4) . However, the global pattern of food consumption in recent years has been predominantly represented by diets rich in sugars, fats and Na, from ultra-processed industrialised foods(Reference Monteiro, Moubarac and Cannon5-Reference Monteiro, Cannon and Levy7). Despite this, few studies have related the consumption of ultra-processed foods and their respective damage to the immune system(Reference Myles8,Reference Gibney, Forde and Mullally9) .

According to the FAO the nature of foods, how their choice is driven, and their respective impacts on human health status have been neglected in epidemiological and experimental studies on diet, nutrition and health. However, these preferences have an impact on nutritional status, partially justifying the progressive and sustained increase in obesity cases(Reference Monteiro, Cannon and Lawrence10).

Recently, regional boards of the four UN agencies (FAO, UNICEF, WHO and World Food Programme) issued a joint statement on nutrition in the context of the COVID-19 pandemic in Asia and the Pacific. This declaration addresses recommendations for the possible and real impacts of COVID-19 on nutrition, highlighting, among other aspects, the importance of breast-feeding and healthy diets(11).

Obesity has recently been shown to increase the risk for COVID-19 complications, as well as heart disease, diabetes and lung disease(Reference Dietz and Santos-Burgoa12,Reference Jordan, Adab and Cheng13) . What puts obesity as a critical problem is that obesity contributes to systemic metabolic dysfunction and is associated with conditions that increase COVID-19 severity. Individuals with obesity also present with changes in the innate and adaptive immune responses, inducing chronic and low-grade inflammation(Reference Andersen, Murphy and Fernandez14,Reference Bornstein, Dalan and Hopkins15) .

Coronaviruses induce an increase in T-helper 1 (Th1) cells, cytokines (IL-1, IL-6), and inflammatory chemokines (chemokine (C-C motif) ligand 2 (CCL2) protein and C-X-C motif chemokine ligand 10 (CXCL10) protein)(Reference Channappanavar, Zhao and Perlman16-Reference Mubarak and Alturaiki18). In this sense, there is a need for additional strategies to support the immune system, especially acquired immunity, to reduce the impact of respiratory and other infections.

Considering these immune dysfunctions in patients with COVID-19, management therapies have used immunomodulatory drugs that benefit COVID-19 patients in pathways also altered by obesity(Reference Mamber, Krakowka and Osborn19,Reference Sanders, Monogue and Jodlowski20) . Hoffmann et al. (Reference Hoffmann, Kleine-Weber and Schroeder21), demonstrated that SARS-CoV-2 uses the SARS-CoV angiotensin-converting enzyme (ACE) 2 receptor to enter the cells and transmembrane protease serine 2 (TMPRSS2) for spike (S) protein priming. According to the study conducted by Sanders et al. (Reference Sanders, Monogue and Jodlowski20), some adjuvant therapies on COVID-19 deserve special mention, such as the use of corticosteroids and anti-cytokines. A new mechanism related to the inhibition of a cellular protease FURIN, the transmembrane protease, serine 2, encoded by the TMPRSS2 gene, is an additional target drug for future research.

Because of the little evidence published so far of efficient vaccines for prevention, and specific and effective drugs to treat COVID-19(Reference Sanders, Monogue and Jodlowski20), challenges arise, such as obesity being among risk factors with significant implications for COVID-19 mortality. These problems are likely to overload health systems that are mostly not well configured to manage patients with obesity(Reference Ryan and Ravussin22,Reference Simonnet, Chetboun and Poissy23) .

Thus, this review presents the health implications of obesity considering the COVID-19 pandemic. We explain diets inducing obesity, and the importance of the different kinds of foods in this process. We review tissue disruption in obesity, leading to impaired immune responses and the possible mechanisms by which obesity and its co-morbidities increase COVID-19 morbidity and mortality. Nutritional strategies that support the immune system in patients with obesity and with COVID-19 are also discussed in light of the available data, considering the severity of the infection for nutritional therapy. The discussions held may contribute to combating this global health emergency, and help the planning of specific public health policy.

Different aspects related to obesity and the COVID-19 pandemic

Until 2020, obesity was the main pandemic of the 21st century(24-Reference Lee26). Nevertheless, obesity has never received urgent attention, as occurs with the rapid spreading of infectious diseases. Now, the world faces the confluence of two overlapping public health problems: COVID-19 and obesity – with its associated co-morbidities(Reference Ryan and Ravussin22).

According to the WHO(Reference World Health27), global obesity has almost tripled since 1975. More alarming data are that, in 2018, 40 million children under 5 years of age were overweight or obese. The USA, the country at the top of the COVID-19 pandemic ranking, is also one of the leaders in the prevalence of obesity(28).

Despite the alarming numbers of overweight and obesity cases, the WHO(Reference World Health27) considers obesity to be preventable. Classic interventions, with the highest degree of therapeutic recommendation, consist of practising regular physical activity, important in the anti-inflammatory response and reduction of changes in cytokines associated with the strengthening of cellular immune function in obesity(Reference Souza, Matos and Dos Santos29). Limiting the intake of energy from fats, reducing salt and sugars, and increasing the consumption of vegetables, fruits and whole grains is also essential(Reference World Health27). However, these measures are not easy to adhere to, considering that patients with obesity and its associated morbidities keep increasing in prevalence(Reference Afshin, Reitsma and Murray30,Reference Berry31) .

With the ongoing COVID-19 pandemic, these recommendations have been reinforced by relevant agencies of the UN, which consider that a balanced, diversified and nutritious diet is a crucial way of promoting health and nutritional well-being(11). This nutritional care plays a critical role in the immune system(Reference Childs, Calder and Miles3,Reference Zhang and Liu4) .

Altered microbiota diversity occurs in most individuals with obesity, and a mutual interplay exists between gut microbiota and the immune system(Reference Pindjakova, Sartini and Lo Re32). According to Morais et al. (Reference Morais, Passos and Maciel33), the administration of probiotics could be a promising adjuvant alternative in the treatment of SARS-CoV-2 infection in addition to adequate intake of nutrients and bioactive compounds from unprocessed food.

Inadequate intake of vitamins and minerals, food processing and industrialisation are related to obesity and the co-regulating of the intestinal microbial ecosystems. Increased energy intake, influenced by lifestyle changes resulting from urbanisation and globalisation, has promoted an obesogenic environment(Reference Pindjakova, Sartini and Lo Re32,Reference Monteiro and Cannon34-Reference Falcao, Lyra and Morais38) . Although consuming ultra-processed foods is associated with obesity and its co-morbidities(Reference Chazelas, Srour and Desmetz39), only recently studies related this consumption to damage in the immune system(Reference Jordan, Adab and Cheng13,Reference Andersen, Murphy and Fernandez14) . Cohort studies are also being conducted to clarify the real impact of ultra-processed foods on health(Reference Silva, Giatti and de Figueiredo40,Reference Medeiros, Azevedo and Mesquita41) .

Thus, the viability of widespread interventions related to this dietary pattern and their sustainability needs to be evaluated, considering the possibility of generating economic and social impact(Reference Afshin, Reitsma and Murray30,Reference Dietz42) . These new interventions should add to the continued adoption of recommendations and strategies aligned with the guidelines given by competent entities in generating data and managing aspects related to nutritional surveillance, food protection, quality of food and food security. These concerns have been raised given COVID-19(11), as food biodiversity is an opportunity to increase food and nutrition security today(Reference Jacob, Medeiros and Albuquerque43).

Multisectoral and evidence-based policy actions to deal with the global nutrition crisis have risen. Consequently, obesity has been targeted in several aspects, even though some measures are still unpopular and do not present immediate results. Actions in health systems, economic incentives, concerns about the school and work environment, quality and labelling standards, and innovation, entrepreneurship and sustainability are being implemented(Reference Bezerra, Oliveira and Pinheiro44-Reference da Cunha, Rolim and Damasceno47).

Overweight and obesity cause other non-communicable diseases that affect the reserves of many nutrients(Reference Aquino, da Cunha and Pereira48-Reference Cunha, Pereira and de Aquino52). Overweight and obesity lead to adverse metabolic effects on blood pressure, lipid profile, insulin resistance, low-grade inflammation, and, consequently worse prognosis for viral infections, and this seems to be the same for SARS-CoV-2(Reference Calder, Carr and Gombart2,Reference Dietz and Santos-Burgoa12,Reference Jordan, Adab and Cheng13,Reference Bornstein, Dalan and Hopkins15) .

However, most deaths from non-communicable diseases could be prevented with known behavioural and pharmaceutical interventions. Several initiatives for preventing and controlling non-communicable diseases have been adopted over the last decades, supported by the WHO. These initiatives are currently being tested in the treatment of COVID-19, especially in cases where obesity is also present(Reference Bornstein, Dalan and Hopkins15,Reference Mamber, Krakowka and Osborn19,Reference Sanders, Monogue and Jodlowski20) .

Besides obesity emerging as a significant important risk factor for the severity of COVID-19, the lockdown imposed by COVID-19 may also increase the prevalence of obesity(Reference Hellewell, Abbott and Gimma53). For example, most weight-loss programmes and nutritional interventions, such as bariatric surgery, are currently restricted. Additionally, self-isolation measures adopted in some countries will directly affect food consumption at this time of anxiety, and restrict mobility and physical activity. Thus, the effects of increased overweight and obesity may persist for an extended period(Reference Kissler, Tedijanto and Goldstein54), even considering the alternating isolation. This increase may be especially true in vulnerable populations that already presented food and nutritional insecurity as social-health issues and may worsen the evolution of the COVID-19 pandemic even more(11,Reference Calazans, Pequeno and Camara55-Reference Ribeiro, Garcia and Dametto60) .

Finally, this global urgency to combat COVID-19 may generate more confidence in processed and industrialised foods compared with fresh food, conditioned by hygienic-sanitary safety, longer shelf life and easier stocking(61). According to Butler & Barrientos(Reference Butler and Barrientos62) and Muscogiuri et al. (Reference Muscogiuri, Barrea and Savastano63), it is essential to improve broader access to healthy foods rich in vitamins, minerals, bioactive compounds and antioxidants to reduce susceptibility and long-term complications of COVID-19. Diet composition and obesity have a widespread role in immunity(Reference Pindjakova, Sartini and Lo Re32), affecting the severity of respiratory diseases and other infections.

Obesity and impaired immune response

Impaired immune response in individuals with obesity is not a novel feature, and this has been evidenced by high vaccine failure(Reference Sheridan, Paich and Handy64) and more complications from infections(Reference Bandaru, Rajkumar and Nappanveettil65). Worsened response to infections in the presence of obesity was observed in Asian (1957–1960) and Hong Kong (1968) influenzas, leading to higher mortality and prolonged illness duration. The H1N1 pandemic in 2009 was also more severe in patients with obesity, causing more hospitalisations and deaths(Reference Luzi and Radaelli66). The same seems to be true for the COVID-19 pandemic(Reference Simonnet, Chetboun and Poissy23,Reference Luzi and Radaelli66) , and there are some immunological explanations for these facts.

One of these explanations underlies the fact that obesity causes stress and dysfunction in many tissues, including the adipose tissue, liver, skeletal muscle, pancreas, gut and respiratory tract. Most of these alterations present an intricate association with inflammation, determined by the immune cells activated in the adipose tissue(Reference Andersen, Murphy and Fernandez14).

Low-grade chronic inflammation, characterised by a higher concentration, in basal levels, of the pro-inflammatory cytokines TNF-α, IL-1β, monocyte chemoattractant protein-1 (MCP-1) and IL-6, is an obesity hallmark. These cytokines are mainly produced by visceral and subcutaneous adipose tissue-activated macrophages and enlarged adipocytes(Reference Cox, West and Cripps67). Classically, this production was considered separately for obesity and pathogens, but now it is accepted that both cause chronic cellular stress, activating shared signalling pathways. The primary difference between these two activations is that the response to pathogens is acute and highly inflammatory. In obesity, the low-grade tissue inflammation provides a physiological immune adaptation. Disruption of this adaptation causes the transition from metabolically healthy obesity to the metabolic syndrome(Reference Thomas and Apovian68).

Although the order of the determining factors for obesity-induced inflammation in humans is not precisely described, animal models have shown that overfeeding causes oxidative stress and an increase in NEFA in the adipose tissue(Reference Thomas and Apovian68). These factors induce the activation of classical macrophages (M1), which are highly inflammatory cells, producing IL-1β, TNF-α and IL-6. TNF-α reduces insulin sensitivity, and the inflammatory cytokines induce more lipolysis with the release of more NEFA, creating an upstream pathway for the inflammation(Reference Wynn, Chawla and Pollard69).

The enlarging white adipose tissues, in turn, release the CCL2, CCL5 and CCL8 chemokines, which recruit more inflammatory monocytes to the adipose tissue. Concisely, in the absence of obesity, adipose tissue macrophages represent 10–15 % of stromal cells and present markers associated with the maintenance of insulin sensitivity by the production of IL-10. In this context, alternative macrophages (M2) are more activated, producing IL-10 after stimulation by IL-4 and IL-13. Adiponectin is also higher in lean animals and humans and inhibits the activation of M1. In contrast, during obesity in mice and humans, inflammatory monocytes are recruited to adipose tissue, increasing macrophage content to 45–60 %(Reference Andersen, Murphy and Fernandez14,Reference Wynn, Chawla and Pollard69) .

The inflammation and stress in the adipose tissue induce adipocyte apoptosis and the release of chemotactic mediators. Apoptosis and the chemotactic mediators promote inflammatory leucocyte infiltration. The inflammatory leucocytes produce resistin and IL-1β and induce M1 and adipocytes to produce more TNF-α, IL-6 and monocyte chemoattractant protein-1 (MCP-1), causing a vicious cycle of inflammation(Reference Cox, West and Cripps67-Reference Wynn, Chawla and Pollard69).

These inflammatory alterations in the adipose tissue underlie the chronic systemic inflammation and the metabolic changes in obesity. These changes are mediated, besides insulin resistance, by unfavourable hormone milieu. Low adiponectin (an anti-inflammatory adipokine) and high leptin (pro-inflammatory adipokine) production is observed in obesity, ultimately stimulating NF-κB-mediated pro-inflammatory gene transcription and reducing PPAR-α and PPAR-γ transcriptional activity. This hormone profile also leads to dysregulation of the immune response and may concur with the obesity-linked complications during infections(Reference Ouchi, Parker and Lugus70).

Obesity also negatively alters the lymphoid tissue structure and function. This impairment occurs by ectopic lipid accumulation in the bone marrow, thymus and secondary lymphoid organs, changing the immune tissue architecture(Reference Yang, Youm and Vandanmagsar71,Reference Kanneganti and Dixit72) . This architecture is essential to the development of functional leucocytes through the critical interactions within the immune cells(Reference Andersen, Murphy and Fernandez14). These tissue structure changes alter leucocyte populations’ distributions, lymphocyte activity, and immune defences and are linked to a compromised response of innate lymphoid cells(Reference Rolot and O’Sullivan73).

Interestingly, accumulation of fat tissue in the lymphoid tissues naturally occurs in senescence and impairs immunity in the elderly(Reference Camell, Günther and Lee74-Reference Dixit76). In animal models, energy restriction has been found to block this fat accumulation and is associated with increased immunity and longer lifespan. Thus, obesity can cause premature ‘ageing’ of the immune system(Reference Yang, Youm and Vandanmagsar71,Reference Kanneganti and Dixit72) . This fact may be one of the causes putting individuals with obesity at risk for severe influenza and COVID-19 evolutions, with increased mortality. Further studies should address how immunomodulation induced by diets and other agents could revert the effects of fat accumulation on lymphoid tissues from individuals with obesity and older individuals in the context of SARS-CoV-2 infection.

Obesity alters gut microbiota(Reference Cox, West and Cripps67) and several studies have associated oxidative stress with dysbiosis(Reference Silva-Maia, Batista and Correa77,Reference Weiss and Hennet78) , which is the disruption of healthy microbiota(Reference Lazar, Ditu and Pircalabioru79). Evidence suggests that intestinal microflora may be responsible for the development of the low-grade inflammation in obesity. This could possibly occur by microflora dysfunctions in the intestinal barrier, increasing its permeability and inducing endotoxaemia, characterised by an increase in gut-derived plasma lipopolysaccharide(Reference Cani, Osto and Geurts80,Reference Cani, Possemiers and Van de Wiele81) .

Studies in animal models have shown that communication between the gut, adipose tissue and brain is essential for maintaining energy balance. This communication is impaired during obesity and type 2 diabetes(Reference Geurts, Neyrinck and Delzenne82). In this context, metabolic endotoxaemia has been identified as one of the main factors leading to the development of metabolic inflammation and insulin resistance because the increase in plasma lipopolysaccharide induces M1(Reference Boutagy, McMillan and Frisard83). The adipokines secreted by the adipose tissue might also affect the airway function. Leptin is involved in neonatal lung development, surfactant production(Reference Torday, Powell and Farmer84,Reference De Blasio, Boije and Kempster85) and regulation of ventilatory drive(Reference Torday, Powell and Farmer84,Reference Bassi, Furuya and Menani86) . Studies have consistently shown the association of high leptin concentrations and asthma(Reference Sideleva, Suratt and Black87,Reference Sood, Ford and Camargo88) .

Considering respiratory infections, most of the knowledge linking obesity and immunity comes from experimental models of influenza(Reference Mancuso89). In diet-induced obesity (DIO) mice with influenza A infection, impaired host defence was associated with a decrease in type I interferon (IFN-α and IFN-β), a delay in IL-6 and TNF-α expression, that increased to higher concentrations than those in lean animals, and impaired the cytotoxicity of natural killer cells(Reference Smith, Sheridan and Harp90). Further studies also revealed that, after influenza infection, DIO reduced dendritic cells’ ability to present antigens to T cells, impairing monocyte and CD8+ T cell recruitment and reducing IL-2 and IL-12 production(Reference Smith, Sheridan and Tseng91). DIO mice also demonstrated an inability to produce and maintain functional antigen-specific memory CD8+ T cells for influenza viruses(Reference Karlsson, Sheridan and Beck92,Reference Karlsson, Sheridan and Beck93) . Additionally, effector CD8+ T cells presented a lower ability to kill influenza-infected cells, and compromised healing of pulmonary epithelial cells, resulting in microvascular permeability and protein leak(Reference Mancuso89).

Thus, obesity causes stress and disruption of several tissues, with inflammation mainly in the adipose and lymphoid tissues, gut and respiratory tract. The stress and inflammation determine the altered activation of leucocyte subpopulations. These changes impair the immune response, increasing the risk for the evolution of infections to severe disease, and might be the leading causes for increased mortality in patients with obesity and COVID-19 (Fig. 1).

Fig. 1. Obesity and immune alterations in different tissues leading to impaired immune response and increased risk for the evolution of respiratory infectious to severe disease. Obesity determines the stress and disruption of many tissues’ integrity leading to inflammation. In the adipose tissue, the enlarging adipocytes present oxidative stress and increase the release of NEFA in the adipose tissue, activating classical macrophages (M1), which produce IL-1β, TNF-α and IL-6. An unfavourable hormone milieu also promotes inflammation: low adiponectin and high leptin productions are observed in obesity. In the lymphoid tissue, lipid accumulation occurs in the bone marrow, thymus and secondary lymphoid organs, altering the immune tissue architecture similarly to findings observed in ageing. In the gut, oxidative stress causes dysbiosis, increasing gut permeability and inducing endotoxaemia, characterised by an increase in gut-derived plasma lipopolysaccharide, which induces inflammation. In the lungs, experimental diet-induced obesity studies of influenza infections showed the reduced ability of dendritic cells (DC) to present antigens (Ag) to T cells, impairing monocyte and CD8+ T cell recruitment and reducing IL-2 and IL-12 production. Effector CD8+ T cells demonstrated a lower ability to kill influenza-infected cells, and the healing of pulmonary epithelial cells is compromised, resulting in microvascular permeability and protein leak. Overall, the inflammation induced by obesity causes altered activation of leucocyte subpopulations, impairing the immune response and increasing the risk of the evolution of respiratory infection to severe disease. ↑, Increase; ↓, decrease.

Obesity, co-morbidities and COVID-19: a triple burden

In addition to disruption of the immune system, obesity can result in metabolic dysfunction leading to dyslipidaemia, insulin resistance, type 2 diabetes, hypertension and CVD, all of which increase patients’ vulnerability to SARS-CoV-2 infection(Reference Kassir94). Thus, obesity plays a crucial role in the pathogenesis of COVID-19.

Dietz & Santos-Burgoa(Reference Dietz and Santos-Burgoa12) suggested that the increased prevalence of obesity in older Italian adults compared with in Chinese could explain the higher COVID-19 mortality in Italy. Studies in both animals and human subjects have shown that obesity is directly related to more severe respiratory infections(Reference Mancuso89). The H1N1 influenza pandemic (2009) reinforced this evidence since multiple cohort studies showed that obesity and morbid obesity are independent risk factors that increase hospitalisation, admission and time in an intensive care unit (ICU)(Reference Hanslik, Boelle and Flahault95,Reference Morgan, Bramley and Fowlkes96) . In Spain, a study observed that obesity was the most common co-morbidity (48 %) in patients admitted to ICU with SARS-CoV-2 infection(Reference Barrasa, Rello and Tejada97).

Although all the possible pathways of interaction between COVID-19 and obesity are still not wholly understood, the discussion concerning the impact of the high prevalence of obesity and coronavirus infection has arisen. Possibly, the interaction between these two important public health concerns occurs through multiple overlapping pathways, some of which will be discussed in this section. Data on this topic are still limiting, and for now, only a few studies have addressed the triple burden of obesity, its co-morbidities and COVID-19 or even other coronavirus diseases. Those data are summarised in Table 1.

Table 1. Studies concerning co-morbidities of obesity and coronavirus infections

SARS, severe acute respiratory syndrome; MERS-CoV, Middle East respiratory syndrome coronavirus; SARS-CoV-2, severe acute respiratory syndrome coronavirus 2; SOC3, suppressor of cytokine signalling 3; ACE2, angiotensin-converting enzyme 2; SREBP1, sterol regulatory element-binding protein 1; MAFLD, metabolic associated fatty liver disease; COVID-19, coronavirus disease 2019.

Patients with obesity can present compromised pulmonary ventilation dynamics because overweight increases pressure in the diaphragm, making breathing more difficult during infection, promoting a relative increase in the anatomical dead space. Thus, decreased expiratory reserve volume, functional capacity and respiratory system compliance occur(Reference Dietz and Santos-Burgoa12,Reference Luzi and Radaelli66,Reference Al Heialy, Hachim and Senok98) . In general, abdominal obesity can impair the ventilation in the lungs’ base, resulting in reduced oxygen saturation of the blood(Reference Dixon and Peters99) and obstructive sleep apnoea associated with an increased risk of CVD and metabolic disease(Reference Gottlieb and Punjabi100). This problem can contribute to daytime alveolar hypoventilation (obesity hypoventilation syndrome) and apparent respiratory failure(Reference Schwartz, Patil and Laffan101).

Obesity can also contribute to the development of more virulent diseases, and permissive mutations might be triggered by delayed interferon responses that favour viral replication(Reference Honce and Karlsson102). Meliopoulos et al. (Reference Meliopoulos, Livingston and Van de Velde103), using an obese mouse model, showed that the lungs of obese mice increased the expression of epithelial integrin 6, which was associated with the severity of lung disease in an influenza virus infection.

Patients with hyperglycaemia and type 2 diabetes have a state of metabolic inflammation, promoting the release of inflammatory cytokines(Reference Mehta, McAuley and Brown104). In cases of COVID-19, this condition might be one of the triggering factors to the so-called cytokine storm (a high cytokine release), consequently leading to death due to multiple organ failure. Kulcsar et al. (Reference Kulcsar, Coleman and Beck105) (Table 1), using mice with type 2 diabetes induced by administering a high-fat diet, observed that upon infection with MERS-CoV (Middle East respiratory syndrome coronavirus), diabetic mice had a prolonged phase of severe disease and delayed recovery, regardless of virus titres. These results were attributed to a dysregulated immune response, characterised by lower TNF-α, IL-6, IL-12b and Arg1 expression levels and higher IL-17a expression levels.

Recently, Hoffmann et al. (Reference Hoffmann, Kleine-Weber and Schroeder21) elucidated that SARS-CoV-2 enters human cells through spike glycoprotein found on the virus’s surface. This spike is capable of binding to ACE2, which is expressed in the mouth(Reference Xu, Zhong and Deng106), lung(Reference Hoffmann, Kleine-Weber and Schroeder21), intestine(Reference Wang, Zhao and Liu107) and kidney(Reference Fan, Li and Ding108). Studies have already shown that the renin–angiotensin system modulates the metabolism and endocrine function of adipocytes(Reference Engeli, Negrel and Sharma109), so this will have significant consequences in patients with obesity infected with SARS-CoV-2.

Bornstein et al. (Reference Bornstein, Dalan and Hopkins15) discuss that individuals with insulin resistance or diabetes and hypertension may have this clinical condition aggravated due to an imbalance in the pathways that regulate the activities of ACE1 and ACE2. An increase in the activation of angiotensin receptors (AT1R and AT2R) is promoted, causing higher pro-inflammatory responses, and stimulating aldosterone secretion. As a result, there is an increment in local vascular permeability, which worsens the respiratory syndrome. Besides, type 2 diabetes induces the expression of ACE in tissues other than the lung, such as the liver and heart, so this may contribute to the death of patients due to multiple organ failure in cases of SARS-CoV-2. They observed a high risk to the development of severe hypoxia and death related to the hyperglycaemia and ketosis effects in severe acute respiratory syndrome (SARS) (Table 1).

The clinical condition of patients diagnosed with SARS-CoV-2 worsens more intensely in a pre-existing CVD, related to increased ACE2 secretion(Reference Zheng, Ma and Zhang110). As reviewed by Tan & Aboulhosn(Reference Tan and Aboulhosn111), several studies have shown that patients with CVD (hypertension and coronary artery disease) require considerable attention in the ICU due to the higher possibility of developing a severe clinical condition of COVID-19.

Obesity and diabetes are directly related to unregulated lipid synthesis and clearance. Al Heialy et al. (Reference Al Heialy, Hachim and Senok98), through the re-analysis of public available transcriptomic data, showed that unregulated lipogenesis leads to high expression of ACE2 in individuals with obesity. This mechanism is consequently related to worse lung injury in SARS-CoV-2 infections (Table 1).

Moreover, abdominal fat is associated with metabolic risk factors that contribute to increased coronary risk. Among these factors are abnormalities in the coagulation system(Reference Von Eyben, Mouritsen and Holm112). According to the review by Blokhin & Lentz(Reference Blokhin and Lentz113), fibrinolysis is the process of degradation of the fibrin clot by plasmin, whose rate is down-regulated by a serine protease inhibitor secreted by the vascular endothelium, liver and adipose tissue called plasminogen activator inhibitor-1 (PAI-1). The expression of the inhibitor undergoes positive regulation in visceral adipose tissue in obesity. According to the review by Blokhin & Lentz(Reference Blokhin and Lentz113), high plasma levels of PAI-1 are observed in patients with obesity or the metabolic syndrome. Studies show that TNF-α positively regulates the expression of PAI-1, which suggests that high levels of this activator are related to the chronic inflammatory state of obesity. Preclinical studies demonstrate the association between obesity, high levels of PAI-1, and thrombosis, which reinforces that PAI-1 plays a crucial role in promoting the prothrombotic effects of obesity.

There is an increased risk of disseminated intravascular coagulation and venous thromboembolism as complications in COVID-19(Reference Kollias, Kyriakoulis and Dimakakos114), and this may be even worse in patients with obesity. Shock and disseminated intravascular coagulation are associated causes of organ dysfunction in sepsis, and abnormal coagulation has been found in non-survivors of COVID-19. Yin et al. (Reference Yin, Huang and Li115) observed that the platelet count in patients with COVID-19 was significantly higher than in the non-COVID group. They attributed this increase to the reactive increase in thrombopoietin after the lung infection, characterising more severe inflammatory reaction and hypercoagulability in COVID-19.

Patients with acute coronary syndrome deserve greater care by specialist clinicians because cardiac functional reserve may be compromised due to myocardial ischaemia or necrosis. When infected with SARS-CoV-2, these patients may have a myocardial infarction (type 1), increased myocardial demand, ischaemia and necrosis, leading to myocardial infarction type 2. They may also have an increase in the metabolic demand that leads to heart failure and death(Reference Zheng, Ma and Zhang110).

According to Kovesdy et al. (Reference Kovesdy, Furth and Zoccali116), metabolic changes in obesity might also affect the kidneys through the induction of hypertension and type 2 diabetes. Numerous renal system changes can occur, including ectopic lipid accumulation, increased fat deposition in the renal site, development of glomerular hypertension, increased glomerular permeability due to damage to the glomerular filtration barrier related to hyperfiltration, development of glomerulomegaly, and focal or segmental glomerulosclerosis. Insulin resistance and obesity are also related to the increased risk of developing nephrolithiasis. Body weight is associated with lower urinary pH and increased urinary oxalate, excretion of acids, Na+ and phosphate. Thus, patients with obesity-associated kidney complications may be more severely affected by SARS-CoV-2 infections. Xu et al. (Reference Xu, Zhang and Gong117) were able to locate the expression and distribution of the ACE2 and TMPRSS genes in the renal cells of patients diagnosed with COVID-19, through single-cell transcriptome sequencing (scRNA) analysis. They found that the podocytes and cells of the proximal straight tubules were infected by SARS-CoV-2, which resulted in chronic kidney failure induced by the virus.

Zheng et al. (Reference Zheng, Gao and Wang118) highlight that patients with metabolic associated non-alcoholic fatty liver disease generally have obesity. As a result, they have metabolic risk factors that may generate a higher risk of respiratory illnesses. Consequently, this can contribute to increased severity of SAR-CoV-2 infection (Table 1).

Thus, obesity and its low-grade chronic inflammation induce the onset of the most diverse co-morbidities. Obesity and its co-morbidities, in turn, increase the risk for severe COVID-19. The SARS-CoV-2 infection itself might provoke a broad spectrum of inflammatory responses, aggravating the inflammation of obesity and its co-morbidities and inducing the cytokine storm, characterising the triple burden between obesity, co-morbidities, and COVID-19 that increases mortality (Fig. 2).

Fig. 2. Obesity, co-morbidities and COVID-19 (coronavirus disease 2019): the triple burden. Obesity and its co-morbidities induce low-grade chronic inflammation and an increase in angiotensin-converting enzyme 2 (ACE2) receptors present in the lungs, intestine and kidneys. COVID-19, in turn, also induces inflammation and alterations overlapping those induced by obesity and its co-morbidities. These alterations occur as the disease severity increases and are in: glycaemia – increasing blood glucose; the renin–angiotensin system – causing higher pro-inflammatory responses; lung function – increasing vascular permeability and lung injury; the coagulation system – increasing prothrombotic effects; kidney function – inducing chronic kidney failure. Possible pathways to explain these worsened alterations in patients with obesity and with co-morbidities are: in the lungs – a higher ACE2 expression, unregulated lipogenesis and inflammation; in the coagulation system – a higher concentration of plasminogen activator inhibitor-1; and in the kidney – a higher expression of ACE2 and transmembrane protease serine (TMPRSS) genes. These overlapping alterations and inflammation associated with the cytokine storm induced by COVID-19 increase the risk of complications in patients with obesity, such as respiratory failure, septic shock, multiple organ failure, and, ultimately, increased mortality.

Impact of COVID-19 on the nutritional management of obesity

The first symptoms of COVID-19, such as cough, myalgia, fever and shortness of breath, are similar to other common viral infections(Reference Puig-Domingo, Marazuela and Giustina119) and, in general, individuals can be recovering at home. However, patients with obesity should be aware that they may have more complicated clinical courses, as previously discussed.

When presenting with fever, even if not thirsty, COVID-19 patients should continue drinking fluids to support the body’s ability to fight the virus and the immune function. The American Society for Parenteral and Enteral Nutrition (ASPEN)(120) recommends drinking water or clear liquid fluids every hour, at least 3 litres/d, and to monitor for signs of dehydration during COVID-19. There have been reports of olfactory and gustatory dysfunctions, like anosmia and ageusia, in patients with mild-to-moderate SARS-CoV-2 infection(Reference Russell, Moss and Rigg121-Reference Lechien, Chiesa-Estomba and De Siati123). These symptoms can underlie the loss of appetite, also related as a symptom of COVID-19.

Loss of appetite is a symptom of COVID-19(Reference Lechien, Chiesa-Estomba and De Siati123) and has already been linked to inflammation(Reference Sieske, Janssen and Babel124). Regardless of age or an individual’s BMI, people with a loss of appetite decrease energy and micronutrient consumption(Reference Dent, Hoogendijk and Wright125,Reference Caccialanza, Laviano and Lobascio126) . Nutrients have been extensively related to improvement of the immune status and, consequently, the response to COVID-19. Fresh and minimally processed foods, sources of vitamins C, A, D and E, B vitamins, n-3 PUFA, Se, Fe and Zn should be encouraged(Reference Zhang and Liu4,Reference Ellulu127) . The dietary references intake values of these vitamins and minerals were proposed for healthy individuals by the Institute of Medicine and should be met by the consumption of these foods(128-131).

Evidence suggests that obesity may decrease fat-soluble vitamins and vitamin C concentrations in the plasma(Reference Godala, Materek-Kusmierkiewicz and Moczulski50,Reference Wortsman, Matsuoka and Chen132,Reference Amin, Siddiqui and Uddin133) . For vitamin A or β-carotene (vitamin A precursor), this reduction occurs due to a lower intake of these nutrients and/or higher deposition in the adipose tissue, decreasing its bioavailability(Reference Beydoun, Chen and Jha134,Reference Coronel and Pinos135) .

Vitamin A deficiency has been associated with lower vitamin C concentrations. In a group of 191 patients with the metabolic syndrome, vitamin C deficiency increased 3·5-fold the risk of vitamin A deficiency(Reference Godala, Materek-Kusmierkiewicz and Moczulski50). Vitamin A (or its precursors) can be provided by a large amount of fresh or minimally processed foods, such as milk and dairy products, vegetables, fruits (for example, cantaloupe melon), eggs, and oils(Reference da Cunha, Rolim and Damasceno47,Reference Medeiros, Gomes and Amaral136) . Males have daily requirements slightly higher than females(129). Citric fruits and dark green vegetables are the main sources of ascorbate in the human diet. One portion of orange, kiwi, guava, cantaloupe melon, broccoli or Brussels sprouts has a minimum of 50 % of the RDA of vitamin C(131,Reference Fenech, Amaya and Valpuesta137) .

A major source of vitamin D for most humans comes from exposure of the skin to sunlight. Thus, exposure of arms and legs to 0·5 minimal erythemal doses is equivalent to ingesting approximately 3000 IU (75 μg) of vitamin D3. Some foods naturally contain vitamin D2 or vitamin D3 (cold water fishes, like sardines, tuna, salmon; egg yolk; shitake mushrooms) and fortified food (milk, butter, cheese, yogurts, breakfast cereal). Pharmaceutical and supplemental sources have different contents of vitamin D2 or D3(Reference Holick, Binkley and Bischoff-Ferrari138).

The Endocrine Society Clinical Practice recognises that obesity is associated with vitamin D deficiency and suggests that the daily requirements are higher than the Institute of Medicine values(128), ranging from 1500 to 2000 IU/d (38 to 50 μg/d) and upper-level intakes until 10 000 IU/d (250 μg/d)(Reference Holick, Binkley and Bischoff-Ferrari138). Vitamin D supplementation to raise serum 25-hydroxyvitamin D (25(OH)D) concentrations at least 40–50 ng/ml (100–125 nmol/l) would be an important step in preventing COVID-19 infection and spread(Reference Grant, Lahore and McDonnell139).

The relationship between Zn, obesity and diabetes is well described, showing how this trace element influences lipid and insulin profiles, adiposity, inflammatory processes and insulin resistance(Reference Prasad140-Reference Lais, de Lima Vale and Xavier143). Recent studies have shown that overweight people and individuals with obesity had lower Zn serum levels than normal-weight individuals(Reference Rios-Lugo and Madrigal-Arellano142,Reference Gu, Xiang and Zhang144) . These lower Zn levels in biological fluids have been associated with a higher risk of developing insulin resistance, inflammation, hypertension and hypertriacylglycerolaemia(Reference Olechnowicz, Tinkov and Skalny145). Another study revealed that an energy-restricted diet with 30 mg/d of Zn reduced inflammatory markers, insulin resistance, anthropometric measurements and appetite in individuals with obesity(Reference Khorsandi, Nikpayam and Yousefi146).

Zn is in many foods, including meat, fish, oysters, nuts and legumes. Although the absorption varies by substrate, this trace element plays a role as an immunonutrient together with vitamins A, C, E and D, and Se and Fe(Reference Maxfield and Crane147,Reference Reddavide, Rotolo and Caruso148) . Besides, high Zn2+ concentrations can mitigate viral RNA replication. A study showed that the replication of RNA-dependent RNA polymerase (RdRp) from coronavirus (SARS-CoV nsp12) was inhibited by increased Zn2+ concentrations(Reference Te Velthuis, Van den Worm and Sims149).

Dysbiosis has been observed in patients infected with COVID-19. Some experiences in managing this alteration have reported the administration of prebiotics and probiotics(Reference Xu, Cai and Shen150). There is a mutual interaction between obesity, gut microbiota and the adaptive immune system(Reference Pindjakova, Sartini and Lo Re32,Reference Cox, West and Cripps67) . These interactions possibly increase the inflammatory status in patients with viral infections, as discussed by Gogokhia et al. (Reference Gogokhia, Taur and Juluru151) in patients with HIV.

Other symptoms of COVID-19 that contribute to the maintenance of overweight and obesity are severe fatigue or myalgia. These can lead to decreased physical activity(Reference Carter, Baranauskas and Fly152,Reference Gasmi, Noor and Tippairote153) . Physical inactivity leads not only to weight gain but also to a loss in immune competence(Reference Barazzoni, Bischoff and Breda154,Reference Lippi, Henry and Bovo155) . Staying home made it more challenging to maintain motivation to a physical activity schedule. For those patients with obesity following nutritional counselling and using medication for co-morbidities and other conditions related to obesity, purchasing healthy food and medicines might be difficult, especially during a lockdown.

The period of social distancing imposed in most countries can be particularly challenging for individuals in treatment for obesity(Reference Carter, Baranauskas and Fly152,Reference Lippi, Henry and Bovo155) . For these cases, it is essential to maintain a stock of medicines and groceries(Reference Lippi, Henry and Bovo155), and have a fresh food delivery service, so that these items can be replaced more frequently. The amount of contact and support from clinical visits influences motivation to maintain lifestyle changes for weight loss. Teleconference, telehealth and mobile devices may be an effective alternative to provide this patient support and counselling process(Reference Barazzoni, Bischoff and Breda154,Reference Severin, Sabbahi and Mahmoud156) . In this social isolation context, sensations that trigger food consumption are also difficult to contain, such as anxiety and depression(Reference Lippi, Henry and Bovo155). The boredom caused by the broken routine leads to food craving in an attempt to achieve mood improvement. Therefore, keeping fresh foods and planning meals could help tackle homestay’s adverse health effects(Reference Muscogiuri, Barrea and Savastano63).

In response to the COVID-19 pandemic outbreak, the International Federation for the Surgery of Obesity and Metabolic Disorders (IFSO) postponed all elective surgical and endoscopic bariatric surgery to keep hospital resources available to COVID-19 coping(Reference Yang, Wang and Shikora157). As mentioned, this can negatively affect individuals since following a low-energy diet and medical weight management can be difficult, causing immeasurable impacts on health(Reference Tewksbury, Williams and Dumon158-Reference Stahel160). Stahel(Reference Stahel160) classified bariatric surgery as elective discretionary that could be postponed for 3 months. Additionally, this author proposed a decision-making algorithm for utilisation during the current COVID-19 pandemic.

The clinical spectrum of the SARS-CoV-2 infection ranges from mild disease with non-specific signs to symptoms of acute respiratory illness(Reference Puig-Domingo, Marazuela and Giustina119). In situations of worsening symptoms, individuals must seek medical attention. Currently, several channels are available such as phone calls, chats, videoconferences, where it is possible to consult and ask questions to specialists(Reference Severin, Sabbahi and Mahmoud156).

However, sometimes the individual must go to a health service for examinations and even for specific hospitalisation care when diagnosed with COVID-19(Reference Puig-Domingo, Marazuela and Giustina119). Hospitalised patients with obesity should be kept on oral feeding whenever possible. Early nutritional supplementation of non-ICU hospitalised patients aims to supply energy and protein that may have its needs increased in situations of infection and inflammation by a coronavirus(Reference Caccialanza, Laviano and Lobascio126). If oral feeding is not tolerated and/or respiratory conditions require non-invasive ventilation or continuous positive airway pressure, supplemental/total parenteral nutrition may be a choice to avoid complications related to concurrent use of face masks and enteral nutrition(Reference Caccialanza, Laviano and Lobascio126).

Obesity increases the risk of hospitalisation(Reference Barazzoni, Bischoff and Breda154). As previously discussed, in situations of more considerable aggravation, an overreaction of the immune system leading to the lungs’ autoimmune aggression could be involved in the most severe acute distress respiratory syndrome(Reference Puig-Domingo, Marazuela and Giustina119). Therefore, it may be necessary to continue treatment in ICU, especially for adequate ventilatory support considering the high pulmonary demand characterising COVID-19.

According to the recent European Society for Parenteral and Enteral Nutrition (ESPEN) guidelines, enteral nutrition may be superior to parenteral nutrition because of a lower risk of infection and is security for patients who receive mechanical ventilation(Reference Barazzoni, Bischoff and Breda154). Prone position ventilation is the therapy of choice in acute respiratory distress syndrome patients with obesity(Reference Schetz, De Jong and Deane161), and enteral nutrition in this position is not a limitation, being viable and safe.

However, situations such as uncontrolled shock, hypercapnia, acidosis and life-threatening hypoxaemia require a delay in enteral nutrition(Reference Laviano, Koverech and Zanetti162). In cases of impaired enteral nutrition, parenteral nutrition should be suggested. It is vital to consider the target level for blood glucose between 6 and 8 mmol/l, monitoring blood TAG and electrolytes, including phosphate, K+ and Mg2+(Reference Barazzoni, Bischoff and Breda154).

The best way to determine the energy needs of individuals is indirect calorimetry. If this is not available, Caccialanza et al. (Reference Caccialanza, Laviano and Lobascio126) suggest that the total amount of energy should be estimated by multiplying the resting energy expenditure calculated by the Harris–Benedict equation by a 1·5 stress-factor (in patients with obesity (BMI > 30 kg/m Reference Calder, Carr and Gombart2 ), ideal body weight used in the equation), and 1·3 to 1·5 g of proteins/kg of ideal body weight(Reference Caccialanza, Laviano and Lobascio126,Reference Barazzoni, Bischoff and Breda154) .

Another option for energy estimation is to use 11–14 kcal/kg per d (46–59 kJ/kg per d) with actual body weight for critically ill patients with BMI 30–50 kg/m Reference Calder, Carr and Gombart2 , and 22–25 kcal/kg per d (92–105 kJ/kg per d) with ideal body weight for critically ill patients with BMI > 50 kg/m Reference Calder, Carr and Gombart2 , as proposed by Mogensen et al. (Reference Mogensen, Andrew and Corona163), when analysing patients with obesity and with super-obesity on mechanical breathing. Schetz et al. (Reference Schetz, De Jong and Deane161), for energy from non-protein sources, consider an energy ratio from fat and carbohydrates between 30:70 % (subjects with no respiratory deficiency) to 50:50 % (ventilated patients)(Reference Barazzoni, Bischoff and Breda154).

Thus, the nutritional management of SARS-CoV-2 infection in patients with obesity, although not fully established yet, must consider the infection’s severity. Several nutrients deserve special attention in immunomodulation, such as vitamins A, D and C, and minerals, such as Zn. Prebiotics and probiotics may also be necessary for COVID-19 management, especially in patients with obesity. With the advances of research in the area, health professionals and researchers should establish protocols to ensure proper care.

Final considerations

The SARS-Cov-2 infection has become pandemic, overlapping with obesity and its co-morbidities. Obesity and its co-morbidities create an unfavourable inflammatory environment that enhances the risk of severe COVID-19. Therefore, obesity must be recognised as an independent risk factor for COVID-19 severity to better define public health policy and protect susceptible individuals, including specific social distancing measures. These measures can also contribute to preventing collapse of the health care system. Further research should define proper therapeutics for COVID-19, and nutritional therapy is an essential measure for treating COVID-19 in patients with obesity. Research should establish protocols, considering the severity of the disease.

Acknowledgements

The authors thank the Federal University of Rio Grande do Norte (UFRN), especially the Pro-Rectory of Postgraduation and the Pro-Rectory of Research, for all efforts dedicated to supporting the research of our institution.

All the authors contributed equally to this work, with conceptualisation, database research, and drafting and revising the manuscript.

The authors declare no conflicts of interest.

Footnotes

These authors contributed equally to the present review.

References

Cena, H & Calder, PC (2020) Defining a healthy diet: evidence for the role of contemporary dietary patterns in health and disease. Nutrients 12, 334.10.3390/nu12020334CrossRefGoogle ScholarPubMed
Calder, PC, Carr, AC, Gombart, AF, et al. (2020) Optimal nutritional status for a well-functioning immune system is an important factor to protect against viral infections. Nutrients 12, 1181.10.3390/nu12041181CrossRefGoogle ScholarPubMed
Childs, CE, Calder, PC & Miles, EA (2019) Diet and immune function. Nutrients 11, 1933.10.3390/nu11081933CrossRefGoogle ScholarPubMed
Zhang, L & Liu, Y (2020) Potential interventions for novel coronavirus in China: a systematic review. J Med Virol 92, 479490.CrossRefGoogle ScholarPubMed
Monteiro, CA, Moubarac, JC, Cannon, G, et al. (2013) Ultra-processed products are becoming dominant in the global food system. Obes Rev 14, Suppl. 2, 2128.CrossRefGoogle ScholarPubMed
Monteiro, CA, Cannon, G, Moubarac, JC, et al. (2018) The UN Decade of Nutrition, the NOVA food classification and the trouble with ultra-processing. Public Health Nutr 21, 517.10.1017/S1368980017000234CrossRefGoogle ScholarPubMed
Monteiro, CA, Cannon, G, Levy, RB, et al. (2019) Ultra-processed foods: what they are and how to identify them. Public Health Nutr 22, 936941.CrossRefGoogle Scholar
Myles, IA (2014) Fast food fever: reviewing the impacts of the Western diet on immunity. Nutr J 13, 61.10.1186/1475-2891-13-61CrossRefGoogle ScholarPubMed
Gibney, MJ, Forde, CG, Mullally, D, et al. (2017) Ultra-processed foods in human health: a critical appraisal. Am J Clin Nutr 106, 717724.10.3945/ajcn.117.160440CrossRefGoogle ScholarPubMed
Monteiro, C, Cannon, G, Lawrence, M, et al. (2019) Ultra-Processed Foods, Diet Quality, and Health Using the NOVA Classification System. Rome: FAO.Google Scholar
United Nations Office for the Coordination of Humanitarian Affairs (OCHA) (2020) Joint statement on nutrition in the context of the COVID-19 pandemic in Asia and the Pacific. https://www.humanitarianresponse.info/en/operations/bangladesh/document/joint-statement-nutrition-context-covid-19-pandemic-asia-and-pacific (accessed April 2020).Google Scholar
Dietz, W & Santos-Burgoa, C (2020) Obesity and its implications for COVID-19 mortality. Obesity 28, 1005.10.1002/oby.22818CrossRefGoogle ScholarPubMed
Jordan, RE, Adab, P & Cheng, KK (2020) Covid-19, risk factors for severe disease and death. BMJ 368, m1198.10.1136/bmj.m1198CrossRefGoogle ScholarPubMed
Andersen, CJ, Murphy, KE & Fernandez, ML (2016) Impact of obesity and metabolic syndrome on immunity. Adv Nutr 7, 6675.CrossRefGoogle ScholarPubMed
Bornstein, SR, Dalan, R, Hopkins, D, et al. (2020) Endocrine and metabolic link to coronavirus infection. Nat Rev Endocrinol 16, 297298.CrossRefGoogle ScholarPubMed
Channappanavar, R, Zhao, J & Perlman, S (2014) T cell-mediated immune response to respiratory coronaviruses. Immunol Res 59, 118128.10.1007/s12026-014-8534-zCrossRefGoogle ScholarPubMed
Mahallawi, WH, Khabour, OF, Zhang, Q, et al. (2018) MERS-CoV infection in humans is associated with a pro-inflammatory Th1 and Th17 cytokine profile. Cytokine 104, 813.10.1016/j.cyto.2018.01.025CrossRefGoogle ScholarPubMed
Mubarak, A & Alturaiki, W (2019) Middle East respiratory syndrome coronavirus (MERS-CoV): infection, immunological response, and vaccine development. J Immunol Res 2019, 6491738.10.1155/2019/6491738CrossRefGoogle ScholarPubMed
Mamber, S, Krakowka, S, Osborn, J, et al. (2020) Could unconventional immunomodulatory agents help alleviate COVID-19 symptoms and severity? mSphere 5, e00288-220.10.1128/mSphere.00288-20CrossRefGoogle ScholarPubMed
Sanders, JM, Monogue, ML, Jodlowski, TZ, et al. (2020) Pharmacologic treatments for coronavirus disease 2019 (COVID-19): a review. JAMA 323, 18241836.Google ScholarPubMed
Hoffmann, M, Kleine-Weber, H, Schroeder, S, et al. (2020) SARS-CoV-2 cell entry depends on ACE2 and TMPRSS2 and is blocked by a clinically proven protease inhibitor. Cell 181, 271280.CrossRefGoogle ScholarPubMed
Ryan, DH & Ravussin, E (2020) COVID 19 and the patient with obesity – the editors speak out. Obesity 28, 847.10.1002/oby.22808CrossRefGoogle Scholar
Simonnet, A, Chetboun, M, Poissy, J, et al. (2020) High prevalence of obesity in severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) requiring invasive mechanical ventilation. Obesity 28, 11951199.CrossRefGoogle ScholarPubMed
National Academies of Sciences, Engineering, and Medicine (2019) Current Status and Response to the Global Obesity Pandemic: Proceedings of a Workshop – In Brief. Washington, DC: The National Academies Press.Google Scholar
Swinburn, BA, Sacks, G, Hall, KD, et al. (2011) The global obesity pandemic: shaped by global drivers and local environments. Lancet 378, 804814.CrossRefGoogle ScholarPubMed
Lee, J (2020) The obesity pandemic and the search for solutions. J Med Food 23, 205.CrossRefGoogle ScholarPubMed
World Health, Organization (2020) Obesity and overweight. https://www.who.int/news-room/fact-sheets/detail/obesity-and-overweight (accessed May 2020).Google Scholar
Centers for Disease Control and Prevention (2020) Centers for Disease Control and Prevention home page. https://www.cdc.gov/ (accessed April 2020).Google Scholar
Souza, DC, Matos, VAF, Dos Santos, VOA, et al. (2018) Effects of high-intensity interval and moderate-intensity continuous exercise on inflammatory, leptin, IgA, and lipid peroxidation responses in obese males. Front Physiol 9, 567.CrossRefGoogle ScholarPubMed
Afshin, A, Reitsma, MB & Murray, CJL (2017) Health effects of overweight and obesity in 195 countries. N Engl J Med 377, 14961497.Google ScholarPubMed
Berry, EM (2020) The obesity pandemic – whose responsibility? No blame, no shame, not more of the same. Front Nutr 7, 2.CrossRefGoogle Scholar
Pindjakova, J, Sartini, C, Lo Re, O, et al. (2017) Gut dysbiosis and adaptive immune response in diet-induced obesity vs. systemic inflammation. Front Microbiol 8, 1157.CrossRefGoogle ScholarPubMed
Morais, AHA, Passos, TS, Maciel, BLL, et al. (2020) Can probiotics and diet promote beneficial immune modulation and purine control in coronavirus infection? Nutrients 12, 1737.CrossRefGoogle ScholarPubMed
Monteiro, C & Cannon, G (2019) The role of the transnational ultra-processed food industry in the pandemic of obesity and its associated diseases: problems and solutions. World Nutr J 10, 8999.CrossRefGoogle Scholar
Rauber, F, Steele, EM & Louzada, MLDC, et al. (2020) Ultra-processed food consumption and indicators of obesity in the United Kingdom population (2008–2016). PLOS ONE 15, e0232676.CrossRefGoogle ScholarPubMed
Araújo, C, Ribeiro, K, Padrão, P, et al. (2019) Industrialized foods in early infancy: a growing need of nutritional research. Porto Biomed J 4, e47.CrossRefGoogle ScholarPubMed
Fox, A & Feng, W (2019) What is driving global obesity trends? Globalization or “modernization”? Global Health 15, 32.CrossRefGoogle ScholarPubMed
Falcao, R, Lyra, CO, Morais, CMM, et al. (2019) Processed and ultra-processed foods are associated with high prevalence of inadequate selenium intake and low prevalence of vitamin B1 and zinc inadequacy in adolescents from public schools in an urban area of northeastern Brazil. PLOS ONE 14, e0224984.CrossRefGoogle Scholar
Chazelas, E, Srour, B, Desmetz, E, et al. (2019) Sugary drink consumption and risk of cancer: results from NutriNet-Sante prospective cohort. BMJ 366, l2408.CrossRefGoogle ScholarPubMed
Silva, FM, Giatti, L, de Figueiredo, RC, et al. (2018) Consumption of ultra-processed food and obesity: cross sectional results from the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil) cohort (2008–2010). Public Health Nutr 21, 22712279.CrossRefGoogle Scholar
Medeiros, G, Azevedo, KPM, Mesquita, GXB, et al. (2019) Red meat consumption, risk of incidence of cardiovascular disease and cardiovascular mortality, and the dose–response effect: protocol for a systematic review and meta-analysis of longitudinal cohort studies. Medicine (Baltimore) 98, e17271.CrossRefGoogle ScholarPubMed
Dietz, WH (2019) Global shifts in the patterns of urban and rural weight increase. Nat Med 25, 10351036.CrossRefGoogle Scholar
Jacob, M, Medeiros, M & Albuquerque, U (2020) Biodiverse food plants in the semiarid region of Brazil have unknown potential: a systematic review. PLOS ONE 15, e0230936.CrossRefGoogle ScholarPubMed
Bezerra, IW, Oliveira, AG, Pinheiro, LG, et al. (2017) Evaluation of the nutritional status of workers of transformation industries adherent to the Brazilian Workers’ Food Program. A comparative study. PLOS ONE 12, e0171821.CrossRefGoogle Scholar
Mozaffarian, D (2020) Dietary and policy priorities to reduce the global crises of obesity and diabetes. Nat Food 1, 3850.CrossRefGoogle Scholar
Resnick, D (2020) Political economy of food system reform. Nat Food 1, 154.CrossRefGoogle Scholar
da Cunha, JA, Rolim, PM, Damasceno, K, et al. (2020) From seed to flour: sowing sustainability in the use of cantaloupe melon residue (Cucumis melo L. var. reticulatus). PLOS ONE 15, e0219229.CrossRefGoogle ScholarPubMed
Aquino, SLS, da Cunha, ATO, Pereira, HT, et al. (2018) Predictors of 25-hydroxyvitamin D status among individuals with metabolic syndrome: a cross-sectional study. Diabetol Metab Syndr 10, 45.CrossRefGoogle ScholarPubMed
Sales, MC, de Oliveira, LP, de Araujo Cabral, NL, et al. (2018) Plasma zinc in institutionalized elderly individuals: relation with immune and cardiometabolic biomarkers. J Trace Elem Med Biol 50, 615621.CrossRefGoogle ScholarPubMed
Godala, M, Materek-Kusmierkiewicz, I, Moczulski, D, et al. (2017) The risk of plasma vitamin A, C, E and D deficiency in patients with metabolic syndrome: a case–control study. Adv Clin Exp Med 26, 581586.CrossRefGoogle Scholar
Freitas, EP, Cunha, AT, Aquino, SL, et al. (2017) Zinc status biomarkers and cardiometabolic risk factors in metabolic syndrome: a case control study. Nutrients 9, 175.CrossRefGoogle ScholarPubMed
Cunha, ATO, Pereira, HT, de Aquino, SLS, et al. (2016) Inadequacies in the habitual nutrient intakes of patients with metabolic syndrome: a cross-sectional study. Diabetol Metab Syndr 8, 32.CrossRefGoogle ScholarPubMed
Hellewell, J, Abbott, S, Gimma, A, et al. (2020) Feasibility of controlling COVID-19 outbreaks by isolation of cases and contacts. Lancet Global Health 8, e488e496.CrossRefGoogle ScholarPubMed
Kissler, S, Tedijanto, C, Goldstein, E, et al. (2020) Projecting the transmission dynamics of SARS-CoV-2 through the post-pandemic period. Science 368, 860868.CrossRefGoogle Scholar
Calazans, DLMS, Pequeno, NPF, Camara, JPT, et al. (2017) Analysis of the human right to adequate food of the indigenous of Sagi-Trabanda in Rio Grande do Norte. Interface (Natal) 14, 119144.Google Scholar
Food and Agriculture Organization of the United Nations (2020) Indigenous peoples’ health and safety at risk due to Coronavirus (COVID-19). http://www.fao.org/indigenous-peoples/news-article/en/c/1268353/ (accessed November 2020).Google Scholar
Farrell, P, Thow, AM, Abimbola, S, et al. (2018) How food insecurity could lead to obesity in LMICs: when not enough is too much: a realist review of how food insecurity could lead to obesity in low- and middle-income countries. Health Promot Int 33, 812826.CrossRefGoogle ScholarPubMed
Berger, ZD, Evans, NG, Phelan, AL, et al. (2020) Covid-19: control measures must be equitable and inclusive. BMJ 368, m1141.CrossRefGoogle ScholarPubMed
Rundle, AG, Park, Y, Herbstman, JB, et al. (2020) COVID-19-related school closings and risk of weight gain among children. Obesity 28, 10081009.CrossRefGoogle ScholarPubMed
Ribeiro, KDDS, Garcia, LRS, Dametto, JFDS, et al. (2020) COVID-19 and nutrition: the need for initiatives to promote healthy eating and prevent obesity in childhood. Child Obes 16, 235237.CrossRefGoogle ScholarPubMed
UNSCN (United Nations System Standing Committee on Nutrition) (2020) Food Environments in the COVID-19 pandemic: last updated by the UNSCN Secretariat on 8th April. https://www.unscn.org/en/news-events/recent-news?idnews=2040 (accessed May 2020).Google Scholar
Butler, MJ & Barrientos, RM (2020) The impact of nutrition on COVID-19 susceptibility and long-term consequences. Brain Behav Immun 87, 5354.CrossRefGoogle ScholarPubMed
Muscogiuri, G, Barrea, L, Savastano, S, et al. (2020) Nutritional recommendations for CoVID-19 quarantine. Eur J Clin Nutr 74, 850851.CrossRefGoogle ScholarPubMed
Sheridan, PA, Paich, HA, Handy, J, et al. (2012) Obesity is associated with impaired immune response to influenza vaccination in humans. Int J Obes (Lond) 36, 10721077.CrossRefGoogle ScholarPubMed
Bandaru, P, Rajkumar, H & Nappanveettil, G (2013) The impact of obesity on immune response to infection and vaccine: an insight into plausible mechanisms. Endocrinol Metab Synd 2, 10000113.Google Scholar
Luzi, L & Radaelli, MG (2020) Influenza and obesity: its odd relationship and the lessons for COVID-19 pandemic. Acta Diabetol 57, 759764.CrossRefGoogle ScholarPubMed
Cox, AJ, West, NP & Cripps, AW (2015) Obesity, inflammation, and the gut microbiota. Lancet Diabetes Endocrinol 3, 207215.CrossRefGoogle ScholarPubMed
Thomas, D & Apovian, C (2017) Macrophage functions in lean and obese adipose tissue. Metabolism 72, 120143.CrossRefGoogle ScholarPubMed
Wynn, TA, Chawla, A & Pollard, JW (2013) Macrophage biology in development, homeostasis and disease. Nature 496, 445455.CrossRefGoogle ScholarPubMed
Ouchi, N, Parker, JL, Lugus, JJ, et al. (2011) Adipokines in inflammation and metabolic disease. Nat Rev Immunol 11, 8597.CrossRefGoogle ScholarPubMed
Yang, H, Youm, YH, Vandanmagsar, B, et al. (2009) Obesity accelerates thymic aging. Blood 114, 38033812.CrossRefGoogle ScholarPubMed
Kanneganti, TD & Dixit, VD (2012) Immunological complications of obesity. Nat Immunol 13, 707712.CrossRefGoogle ScholarPubMed
Rolot, M & O’Sullivan, TE (2020) Living with yourself: innate lymphoid cell immunometabolism. Cells 9, 334.CrossRefGoogle ScholarPubMed
Camell, CD, Günther, P, Lee, A, et al. (2019) Aging induces an Nlrp3 inflammasome-dependent expansion of adipose B cells that impairs metabolic homeostasis. Cell Metab 30, 10241039.CrossRefGoogle ScholarPubMed
Dixit, VD (2012) Impact of immune-metabolic interactions on age-related thymic demise and T cell senescence. Semin Immunol 24, 321330.CrossRefGoogle ScholarPubMed
Dixit, VD (2008) Adipose-immune interactions during obesity and caloric restriction: reciprocal mechanisms regulating immunity and health span. J Leukoc Biol 84, 882892.CrossRefGoogle ScholarPubMed
Silva-Maia, JK, Batista, AG, Correa, LC, et al. (2019) Aqueous extract of berry (Plinia jaboticaba) byproduct modulates gut microbiota and maintains the balance on antioxidant defense system in rats. J Food Biochem 43, e12705.CrossRefGoogle ScholarPubMed
Weiss, GA & Hennet, T (2017) Mechanisms and consequences of intestinal dysbiosis. Cell Mol Life Sci 74, 29592977.CrossRefGoogle ScholarPubMed
Lazar, V, Ditu, LM, Pircalabioru, GG, et al. (2019) Gut microbiota, host organism, and diet trialogue in diabetes and obesity. Front Nutr 6, 21.CrossRefGoogle ScholarPubMed
Cani, PD, Osto, M, Geurts, L, et al. (2012) Involvement of gut microbiota in the development of low-grade inflammation and type 2 diabetes associated with obesity. Gut Microbes 3, 279288.CrossRefGoogle ScholarPubMed
Cani, PD, Possemiers, S, Van de Wiele, T, et al. (2009) Changes in gut microbiota control inflammation in obese mice through a mechanism involving GLP-2-driven improvement of gut permeability. Gut 58, 10911103.CrossRefGoogle ScholarPubMed
Geurts, L, Neyrinck, AM, Delzenne, NM, et al. (2014) Gut microbiota controls adipose tissue expansion, gut barrier and glucose metabolism: novel insights into molecular targets and interventions using prebiotics. Benef Microbes 5, 317.CrossRefGoogle ScholarPubMed
Boutagy, NE, McMillan, RP, Frisard, MI, et al. (2016) Metabolic endotoxemia with obesity: is it real and is it relevant? Biochimie 124, 1120.CrossRefGoogle ScholarPubMed
Torday, JS, Powell, FL, Farmer, CG, et al. (2010) Leptin integrates vertebrate evolution: from oxygen to the blood–gas barrier. Respir Physiol Neurobiol 173, Suppl., S37S42.CrossRefGoogle Scholar
De Blasio, MJ, Boije, M, Kempster, SL, et al. (2016) Leptin matures aspects of lung structure and function in the ovine fetus. Endocrinology 157, 395404.CrossRefGoogle ScholarPubMed
Bassi, M, Furuya, WI, Menani, JV, et al. (2014) Leptin into the ventrolateral medulla facilitates chemorespiratory response in leptin-deficient (ob/ob) mice. Acta Physiol (Oxf) 211, 240248.CrossRefGoogle ScholarPubMed
Sideleva, O, Suratt, BT, Black, KE, et al. (2012) Obesity and asthma: an inflammatory disease of adipose tissue not the airway. Am J Respir Crit Care Med 186, 598605.CrossRefGoogle Scholar
Sood, A, Ford, ES & Camargo, CA Jr (2006) Association between leptin and asthma in adults. Thorax 61, 300305.CrossRefGoogle ScholarPubMed
Mancuso, P (2013) Obesity and respiratory infections: does excess adiposity weigh down host defense? Pulm Pharmacol Ther 26, 412419.CrossRefGoogle ScholarPubMed
Smith, AG, Sheridan, PA, Harp, JB, et al. (2007) Diet-induced obese mice have increased mortality and altered immune responses when infected with influenza virus. J Nutr 137, 12361243.CrossRefGoogle ScholarPubMed
Smith, AG, Sheridan, PA, Tseng, RJ, et al. (2009) Selective impairment in dendritic cell function and altered antigen-specific CD8+ T-cell responses in diet-induced obese mice infected with influenza virus. Immunology 126, 268279.CrossRefGoogle ScholarPubMed
Karlsson, EA, Sheridan, PA & Beck, MA (2010) Diet-induced obesity in mice reduces the maintenance of influenza-specific CD8+ memory T cells. J Nutr 140, 16911697.CrossRefGoogle ScholarPubMed
Karlsson, EA, Sheridan, PA & Beck, MA (2010) Diet-induced obesity impairs the T cell memory response to influenza virus infection. J Immunol 184, 31273133.CrossRefGoogle Scholar
Kassir, R (2020) Risk of COVID-19 for patients with obesity. Obes Rev 21, e13034.CrossRefGoogle ScholarPubMed
Hanslik, T, Boelle, P-Y & Flahault, A (2010) Preliminary estimation of risk factors for admission to intensive care units and for death in patients infected with A(H1N1)2009 influenza virus, France, 2009–2010. PLoS Curr 2, RRN1150.CrossRefGoogle ScholarPubMed
Morgan, OW, Bramley, A, Fowlkes, A, et al. (2010) Morbid obesity as a risk factor for hospitalization and death due to 2009 pandemic influenza A(H1N1) disease. PLoS ONE 5, e9694.CrossRefGoogle ScholarPubMed
Barrasa, H, Rello, J, Tejada, S, et al. (2020) SARS-Cov-2 in Spanish intensive care: early experience with 15-day survival in Vitoria. Anaesth Crit Care Pain Med 39, 553561.CrossRefGoogle ScholarPubMed
Al Heialy, S, Hachim, MY, Senok, A, et al. (2020) Regulation of angiotensin converting enzyme 2 (ACE2) in obesity: implications for COVID-19. bioRxiv 4, 046938.Google Scholar
Dixon, AE & Peters, U (2018) The effect of obesity on lung function. Expert Rev Respir Med 12, 755767.CrossRefGoogle ScholarPubMed
Gottlieb, DJ & Punjabi, NM (2020) Diagnosis and management of obstructive sleep apnea: a review. JAMA 323, 13891400.CrossRefGoogle ScholarPubMed
Schwartz, AR, Patil, SP, Laffan, AM, et al. (2008) Obesity and obstructive sleep apnea. Proc Am Thorac Soc 5, 185192.CrossRefGoogle ScholarPubMed
Honce, R & Karlsson, EA (2020) Obesity-related microenvironment promotes emergence of virulent influenza virus strains. mBio 11, e03341-19.CrossRefGoogle ScholarPubMed
Meliopoulos, V, Livingston, B, Van de Velde, LA, et al. (2019) Absence of β6 integrin reduces influenza disease severity in highly susceptible obese mice. J Virol 93, e01646-18.CrossRefGoogle ScholarPubMed
Mehta, P, McAuley, DF, Brown, M, et al. (2020) COVID-19: consider cytokine storm syndromes and immunosuppression. Lancet 395, 10331034.CrossRefGoogle ScholarPubMed
Kulcsar, KA, Coleman, CM, Beck, SE, et al. (2019) Comorbid diabetes results in immune dysregulation and enhanced disease severity following MERS-CoV infection. JCI Insight 4, e131774.CrossRefGoogle ScholarPubMed
Xu, H, Zhong, L, Deng, J, et al. (2020) High expression of ACE2 receptor of 2019-nCoV on the epithelial cells of oral mucosa. Int J Oral Sci 12, 8.CrossRefGoogle ScholarPubMed
Wang, J, Zhao, S, Liu, M, et al. (2020) ACE2 expression by colonic epithelial cells is associated with viral infection, immunity and energy metabolism. medRxiv 2020, 20020545.Google Scholar
Fan, C, Li, K, Ding, Y, et al. (2020) ACE2 expression in kidney and testis may cause kidney and testis damage after 2019-nCoV infection. medRxiv 2020, 20022418.Google Scholar
Engeli, S, Negrel, R & Sharma, AM (2000) Physiology and pathophysiology of the adipose tissue renin–angiotensin system. Hypertension 35, 12701277.CrossRefGoogle ScholarPubMed
Zheng, Y-Y, Ma, Y-T, Zhang, J-Y, et al. (2020) COVID-19 and the cardiovascular system. Nat Rev Cardiol 17, 259260.CrossRefGoogle ScholarPubMed
Tan, W & Aboulhosn, J (2020) The cardiovascular burden of coronavirus disease 2019 (COVID-19) with a focus on congenital heart disease. Int J Cardiol 309, 7077.CrossRefGoogle ScholarPubMed
Von Eyben, FE, Mouritsen, E, Holm, J, et al. (2003) Intra-abdominal obesity and metabolic risk factors: a study of young adults. Int J Obes Relat Metab Disord 27, 941949.CrossRefGoogle ScholarPubMed
Blokhin, IO & Lentz, SR (2013) Mechanisms of thrombosis in obesity. Curr Opin Hematol 20, 437444.CrossRefGoogle ScholarPubMed
Kollias, A, Kyriakoulis, KG, Dimakakos, E, et al. (2020) Thromboembolic risk and anticoagulant therapy in COVID-19 patients: emerging evidence and call for action. Br J Haematol 189, 846847.CrossRefGoogle ScholarPubMed
Yin, S, Huang, M, Li, D, et al. (2020) Difference of coagulation features between severe pneumonia induced by SARS-CoV2 and non-SARS-CoV2. J Thromb Thrombolysis (epublication ahead of print version 3 April 2020).CrossRefGoogle Scholar
Kovesdy, CP, Furth, SL & Zoccali, C (2017) Obesity and kidney disease: hidden consequences of the epidemic. Indian J Nephrol 27, 8592.Google ScholarPubMed
Xu, D, Zhang, H, Gong, H, et al. (2020) Identification of a potential mechanism of acute kidney injury during the Covid-19 outbreak: a study based on single-cell transcriptome analysis. Preprints 2020, 2020020331.Google Scholar
Zheng, KI, Gao, F, Wang, X-B, et al. (2020) Obesity as a risk factor for greater severity of COVID-19 in patients with metabolic associated fatty liver disease. Metabolism 108, 154244.CrossRefGoogle ScholarPubMed
Puig-Domingo, M, Marazuela, M & Giustina, A (2020) COVID-19 and endocrine diseases. A statement from the European Society of Endocrinology. Endocrine 68, 25.CrossRefGoogle ScholarPubMed
American Society for Parenteral and Enteral Nutrition (ASPEN) (2020) Nutrition and Hydration: Quick Facts for COVID-19 Patients. ASPEN Recommendations for Non-ICU COVID-19 Patients. Silver Spring, MD: ASPEN.Google Scholar
Russell, B, Moss, C, Rigg, A, et al. (2020) Anosmia and ageusia are emerging as symptoms in patients with COVID-19: what does the current evidence say? Ecancermedicalscience 14, ed98.CrossRefGoogle ScholarPubMed
Vaira, LA, Salzano, G, Deiana, G, et al. (2020) Anosmia and ageusia: common findings in COVID-19 patients. Laryngoscope 103, 1787.CrossRefGoogle Scholar
Lechien, JR, Chiesa-Estomba, CM, De Siati, DR, et al. (2020) Olfactory and gustatory dysfunctions as a clinical presentation of mild-to-moderate forms of the coronavirus disease (COVID-19): a multicenter European study. Eur Arch Otorhinolaryngol 277, 22512261.CrossRefGoogle ScholarPubMed
Sieske, L, Janssen, G, Babel, N, et al. (2019) Inflammation, appetite and food intake in older hospitalized patients. Nutrients 11, 1986.CrossRefGoogle ScholarPubMed
Dent, E, Hoogendijk, EO & Wright, ORL (2019) New insights into the anorexia of ageing: from prevention to treatment. Curr Opin Clin Nutr Metab Care 22, 4451.CrossRefGoogle ScholarPubMed
Caccialanza, R, Laviano, A, Lobascio, F, et al. (2020) Early nutritional supplementation in non-critically ill patients hospitalized for the 2019 novel coronavirus disease (COVID-19): rationale and feasibility of a shared pragmatic protocol. Nutrition 74, 110835.CrossRefGoogle ScholarPubMed
Ellulu, MS (2017) Obesity, cardiovascular disease, and role of vitamin C on inflammation: a review of facts and underlying mechanisms. Inflammopharmacology 25, 313328.CrossRefGoogle ScholarPubMed
Institute of Medicine (2011) Dietary Reference Intakes for Calcium and Vitamin D. Washington, DC: National Academies Press.Google Scholar
Institute of Medicine (2001) Dietary Reference Intakes for Vitamin A, Vitamin K, Arsenic, Boron, Chromium, Copper, Iodine, Iron, Manganese, Molybdenum, Nickel, Silicon, Vanadium, and Zinc. Washington, DC: National Academies Press.Google Scholar
Institute of Medicine (2011) Dietary Reference Intakes for Thiamin, Riboflavin, Niacin, Vitamin B6, Folate, Vitamin B12, Pantothenic Acid, Biotin, and Choline. Washington, DC: National Academies Press.Google Scholar
Institute of Medicine (2011) Dietary Reference Intakes for Vitamin C, Vitamin E, Selenium, and Carotenoids. Washington, DC: National Academies Press.Google Scholar
Wortsman, J, Matsuoka, LY, Chen, TC, et al. (2000) Decreased bioavailability of vitamin D in obesity. Am J Clin Nutr 72, 690693.CrossRefGoogle ScholarPubMed
Amin, MN, Siddiqui, SA, Uddin, MG, et al. (2020) Increased oxidative stress, altered trace elements, and macro-minerals are associated with female obesity. Biol Trace Elem Res 197, 384393.CrossRefGoogle ScholarPubMed
Beydoun, MA, Chen, X, Jha, K, et al. (2019) Carotenoids, vitamin A, and their association with the metabolic syndrome: a systematic review and meta-analysis. Nutr Rev 77, 3245.CrossRefGoogle ScholarPubMed
Coronel, J & Pinos, I (2019) β-Carotene in obesity research: technical considerations and current status of the field. Nutrients 11, 842.CrossRefGoogle ScholarPubMed
Medeiros, A, Gomes, CC, Amaral, M, et al. (2019) Nanoencapsulation improved water solubility and color stability of carotenoids extracted from Cantaloupe melon (Cucumis melo L.). Food Chem 270, 562572.CrossRefGoogle ScholarPubMed
Fenech, M, Amaya, I, Valpuesta, V, et al. (2019) Vitamin C content in fruits: biosynthesis and regulation. Front Plant Sci 9, 2006.CrossRefGoogle ScholarPubMed
Holick, MF, Binkley, NC, Bischoff-Ferrari, HA, et al. (2011) Evaluation, treatment, and prevention of vitamin D deficiency: an Endocrine Society clinical practice guideline. J Clin Endocrinol Metab 96, 19111930.CrossRefGoogle ScholarPubMed
Grant, WB, Lahore, H, McDonnell, SL, et al. (2020) Evidence that vitamin D supplementation could reduce risk of influenza and COVID-19 infections and deaths. Nutrients 12, 988.CrossRefGoogle ScholarPubMed
Prasad, AS (2012) Discovery of human zinc deficiency: 50 years later. J Trace Elem Med Biol 26, 6669.CrossRefGoogle ScholarPubMed
Gombart, AF, Pierre, A & Maggini, S (2020) A review of micronutrients and the immune system – working in harmony to reduce the risk of infection. Nutrients 12, 236.CrossRefGoogle Scholar
Rios-Lugo, MJ & Madrigal-Arellano, C (2020) Association of serum zinc levels in overweight and obesity. Biol Trace Elem Res 198, 5157.CrossRefGoogle ScholarPubMed
Lais, LL, de Lima Vale, SH, Xavier, CA, et al. (2016) Effect of a one-week balanced diet on expression of genes related to zinc metabolism and inflammation in type 2 diabetic patients. Clin Nutr Res 5, 2632.CrossRefGoogle ScholarPubMed
Gu, K, Xiang, W, Zhang, Y, et al. (2019) The association between serum zinc level and overweight/obesity: a meta-analysis. Eur J Nutr 58, 29712982.CrossRefGoogle ScholarPubMed
Olechnowicz, J, Tinkov, A, Skalny, A, et al. (2018) Zinc status is associated with inflammation, oxidative stress, lipid, and glucose metabolism. J Physiol Sci 68, 1931.CrossRefGoogle ScholarPubMed
Khorsandi, H, Nikpayam, O, Yousefi, R, et al. (2019) Zinc supplementation improves body weight management, inflammatory biomarkers and insulin resistance in individuals with obesity: a randomized, placebo-controlled, double-blind trial. Diabetol Metab Syndr 11, 101.CrossRefGoogle ScholarPubMed
Maxfield, L & Crane, JS (2019) Zinc deficiency. https://www.ncbi.nlm.nih.gov/books/NBK493231/ (accessed May 2020).Google Scholar
Reddavide, R, Rotolo, O, Caruso, MG, et al. (2018) The role of diet in the prevention and treatment of inflammatory bowel diseases. Acta Biomed 89, 6075.Google ScholarPubMed
Te Velthuis, AJ, Van den Worm, SH, Sims, AC, et al. (2010) Zn2+ inhibits coronavirus and arterivirus RNA polymerase activity in vitro and zinc ionophores block the replication of these viruses in cell culture. PLoS Pathog 6, e1001176.CrossRefGoogle ScholarPubMed
Xu, K, Cai, H, Shen, Y, et al. (2020) Management of corona virus disease-19 (COVID-19): the Zhejiang experience (article in Chinese). Zhejiang Da Xue Xue Bao Yi Xue Ban 49, 147157.Google Scholar
Gogokhia, L, Taur, Y, Juluru, K, et al. (2020) Intestinal dysbiosis and markers of systemic inflammation in viscerally and generally obese persons living with HIV. J Acquir Immune Defic Syndr 83, 8189.CrossRefGoogle ScholarPubMed
Carter, SJ, Baranauskas, MN & Fly, AD (2020) Considerations for obesity, vitamin D, and physical activity amidst the COVID-19 pandemic. Obesity 28, 11761177.CrossRefGoogle Scholar
Gasmi, A, Noor, S, Tippairote, T, et al. (2020) Individual risk management strategy and potential therapeutic options for the COVID-19 pandemic. J Clin Immunol 215, 108409.CrossRefGoogle ScholarPubMed
Barazzoni, R, Bischoff, SC, Breda, J, et al. (2020) ESPEN expert statements and practical guidance for nutritional management of individuals with SARS-CoV-2 infection. Clin Nutr 39, 16311638.CrossRefGoogle ScholarPubMed
Lippi, G, Henry, BM, Bovo, C, et al. (2020) Health risks and potential remedies during prolonged lockdowns for coronavirus disease 2019 (COVID-19). Diagnosis (Berl) 7, 8590.CrossRefGoogle ScholarPubMed
Severin, R, Sabbahi, A, Mahmoud, AM, et al. (2019) Precision medicine in weight loss and healthy living. Prog Cardiovasc Dis 62, 1520.CrossRefGoogle ScholarPubMed
Yang, W, Wang, C, Shikora, S, et al. (2020) Recommendations for metabolic and bariatric surgery during the COVID-19 pandemic from IFSO. Obes Surg 30, 20712073.CrossRefGoogle ScholarPubMed
Tewksbury, C, Williams, NN, Dumon, KR, et al. (2017) Preoperative medical weight management in bariatric surgery: a review and reconsideration. Obes Surg 27, 208214.CrossRefGoogle ScholarPubMed
Walo-Syversen, G, Kvalem, IL, Kristinsson, J, et al. (2019) Executive function, eating behavior, and preoperative weight loss in bariatric surgery candidates: an observational study. Obes Facts 12, 489501.CrossRefGoogle ScholarPubMed
Stahel, PF (2020) How to risk-stratify elective surgery during the COVID-19 pandemic? Patient Saf Surg 14, 8.CrossRefGoogle ScholarPubMed
Schetz, M, De Jong, A, Deane, AM, et al. (2019) Obesity in the critically ill: a narrative review. Intensive Care Med 45, 757769.CrossRefGoogle ScholarPubMed
Laviano, A, Koverech, A & Zanetti, M (2020) Nutrition support in the time of SARS-CoV-2 (COVID-19). Nutrition 74, 110834.CrossRefGoogle ScholarPubMed
Mogensen, KM, Andrew, BY, Corona, JC, et al. (2016) Validation of the Society of Critical Care Medicine and American Society for Parenteral and Enteral Nutrition recommendations for caloric provision to critically ill obese patients: a pilot study. J Parenter Enteral Nutr 40, 713721.CrossRefGoogle Scholar
Yang, JK, Feng, Y, Yuan, MY, et al. (2006) Plasma glucose levels and diabetes are independent predictors for mortality and morbidity in patients with SARS. Diabet Med 23, 623628.CrossRefGoogle ScholarPubMed
Figure 0

Fig. 1. Obesity and immune alterations in different tissues leading to impaired immune response and increased risk for the evolution of respiratory infectious to severe disease. Obesity determines the stress and disruption of many tissues’ integrity leading to inflammation. In the adipose tissue, the enlarging adipocytes present oxidative stress and increase the release of NEFA in the adipose tissue, activating classical macrophages (M1), which produce IL-1β, TNF-α and IL-6. An unfavourable hormone milieu also promotes inflammation: low adiponectin and high leptin productions are observed in obesity. In the lymphoid tissue, lipid accumulation occurs in the bone marrow, thymus and secondary lymphoid organs, altering the immune tissue architecture similarly to findings observed in ageing. In the gut, oxidative stress causes dysbiosis, increasing gut permeability and inducing endotoxaemia, characterised by an increase in gut-derived plasma lipopolysaccharide, which induces inflammation. In the lungs, experimental diet-induced obesity studies of influenza infections showed the reduced ability of dendritic cells (DC) to present antigens (Ag) to T cells, impairing monocyte and CD8+ T cell recruitment and reducing IL-2 and IL-12 production. Effector CD8+ T cells demonstrated a lower ability to kill influenza-infected cells, and the healing of pulmonary epithelial cells is compromised, resulting in microvascular permeability and protein leak. Overall, the inflammation induced by obesity causes altered activation of leucocyte subpopulations, impairing the immune response and increasing the risk of the evolution of respiratory infection to severe disease. ↑, Increase; ↓, decrease.

Figure 1

Table 1. Studies concerning co-morbidities of obesity and coronavirus infections

Figure 2

Fig. 2. Obesity, co-morbidities and COVID-19 (coronavirus disease 2019): the triple burden. Obesity and its co-morbidities induce low-grade chronic inflammation and an increase in angiotensin-converting enzyme 2 (ACE2) receptors present in the lungs, intestine and kidneys. COVID-19, in turn, also induces inflammation and alterations overlapping those induced by obesity and its co-morbidities. These alterations occur as the disease severity increases and are in: glycaemia – increasing blood glucose; the renin–angiotensin system – causing higher pro-inflammatory responses; lung function – increasing vascular permeability and lung injury; the coagulation system – increasing prothrombotic effects; kidney function – inducing chronic kidney failure. Possible pathways to explain these worsened alterations in patients with obesity and with co-morbidities are: in the lungs – a higher ACE2 expression, unregulated lipogenesis and inflammation; in the coagulation system – a higher concentration of plasminogen activator inhibitor-1; and in the kidney – a higher expression of ACE2 and transmembrane protease serine (TMPRSS) genes. These overlapping alterations and inflammation associated with the cytokine storm induced by COVID-19 increase the risk of complications in patients with obesity, such as respiratory failure, septic shock, multiple organ failure, and, ultimately, increased mortality.