Literature DB >> 35113309

Evaluating Possible Mechanisms Linking Obesity to COVID-19: a Narrative Review.

Maryam Vasheghani1, Zahra Hessami2, Mahsa Rekabi3, Atefeh Abedini4, Akram Qanavati5.   

Abstract

Currently, pneumonia caused by the coronavirus disease 2019 (COVID-19) is a pandemic. To date, there is no specific antiviral treatment for the disease, and universal access to the vaccine is a serious challenge. Some observational studies have shown that COVID-19 is more common in countries with a high prevalence of obesity and that people with COVID-19 have a higher body mass index. In these studies, obesity increased the risk of disease, as well as its severity and mortality. This study aimed to review the mechanisms that link obesity to COVID-19.
© 2022. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.

Entities:  

Keywords:  Adipokines; COVID-19; Cardiovascular system; Inflammation; Insulin resistance; Obesity; Respiratory; SARS-CoV-2; Thromboembolism

Mesh:

Year:  2022        PMID: 35113309      PMCID: PMC8811344          DOI: 10.1007/s11695-022-05933-0

Source DB:  PubMed          Journal:  Obes Surg        ISSN: 0960-8923            Impact factor:   3.479


Introduction

According to the World Health Organization (WHO) report, the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), known as COVID-19, is currently a pandemic. Although most patients have flu-like symptoms, severe disease or death may occur in these patients. [1-4] Risk factors and underlying health issues may affect the progression of COVID-19 as well as its prognosis. The mortality was higher in elderly (age over 65 years) and patients with comorbidities. [5] According to the WHO reports, 50% of the world population is currently overweight or obese. The risk of infectious diseases and related complications is increased due to obesity. Also, obesity has been suggested as a risk factor for COVID-19 [6-8] (Table 1).
Table 1

Literature review for the relationship between obesity and COVID-19

AuthorDate of publicationMethod of studyNumber of studies, populationAimKey findings
Yang et al. [14]2021 MaySystematic review, meta-analysis41 studies with 219,543 cases (115,635 COVID‐19 patients)Positive SARS‐CoV‐2 test result, hospitalization, ICU admission, invasive mechanical ventilation and in‐hospital mortality according to obesity and degree of obesity

Subjects with obesity were more likely to have:

•Positive SARS-CoV-2 test results (OR = 1.50; 95% CI = 1.37–1.63, I2 = 69.2%)

•A higher incidence of:

-Hospitalization (OR = 1.54, 95% CI = 1.33–1.78, I2 = 60.9%)

-Intensive care unit admission (OR = 1.48, 95% CI = 1.24–1.77, I2 = 67.5%)

-Need to invasive mechanical ventilation (OR = 1.47, 95% CI = 1.31–1.65, I2 = 18.8%)

-In-hospital mortality (OR = 1.14, 95% CI = 1.04–1.26, I2 = 74.4%)

Thakur et al. [15]2021 AprSystematic review and meta-analysis120 studies with 125,446 patientsTo determine the differences in the prevalence of major comorbidities associated with COVID-19 and the severity and mortality of COVID-19

The overall prevalence of comorbidities in patients with COVID-19:

•HTN (32%, 95% CI = 28–36%)

•Obesity (25%, 95% CI = 17–34%)

•DM (18%, 95% CI = 15–20%)

•CVD (16%, 95% CI = 13–19%)

•Lung disease (9%, 95%CI = 7–11%)

•CKD (6%, 95%CI = 5–8%)

There was no association between the prevalence of obesity and severity, and mortality of COVID-19

Du et al. [16]2021 AprSystematic review, meta-analysis16 observational studies with 109,881 casesRandom-effects models and dose–response meta-analysis

Patients with obesity (BMI ≥ 30 vs. BMI < 30 kg/m2) had a more:

•Critical COVID-19, OR = 2.35, 95%CI = 1.64–3.38, P < 0.001

•Mortality, OR = 2.68, 95%CI = 1.65–4.37, P < 0.001

The risk of critical COVID-19 and mortality increased by 9% (OR = 1.09, 95%CI = 1.04–1.14, P < 0.001) and 6% (OR = 1.06, 95%CI = 1.02–1.10, P = 0.002) for each 1 kg/m2 increase in BMI, respectively

Pranata et al. 172021 MarSystematic review, meta-analysis12 studies with a total of 34,390 patientsEvaluation of the dose-response relationship between body mass index (BMI) and poor outcome in patients with COVID-19. The primary outcome was a poor outcome consisting of mortality and disease severity. Secondary outcomes were mortality and severity

Obesity in patients with COVID-19 was associated with:

•Composite poor outcome, OR = 1.73, 95%CI = 1.40–2.14, P < 0.001, I2 = 55.6%

•Severity, OR = 1.90, 95%CI = 1.45–2.48, P < 0.001, I2 = 5.2%

•Mortality, OR = 1.55, 95%CI = 1.16–2.06, P = 0.003, I2 = 74.4

The dose–response meta-analysis showed an increased risk of composite poor outcome by aOR = 1.052, 95%CI = 1.028–1.077, P < 0.001 for every 5 kg/m2 increase in BMI (P non-linearity < 0.001)

Yang et al. [18]2020 DecSystematic review, meta-analysisA total of 50 studies, including data on 18,260,378 patients, were availableRisk of COVID-19 and severity of COVID-19 (severe case, ICU admission, and intensive mechanical ventilation) studied based on BMI

Obesity was associated with a higher risk of SARS-CoV-2 infection as compared to those without obesity (OR: 1.39; 95% CI 1.25–1.54; P < 0.00001)

Obesity was associated with a more severity of COVID-19 disease:

•Hospital admission rate, OR = 2.45, 95% CI = 1.78–3.39; P < 0.00001

•Severe cases, OR = 3.74, 95% CI = 1.18–11.87; P: 0.02

•Need for ICU admission, OR = 1.30, 95% CI = 1.21–1.40; P < 0.00001

•Need for invasive mechanical ventilation, OR = 1.59, 95% CI = 1.35–1.88; P < 0.00001

•Obesity was associated with higher mortality, OR = 1.65, 95% CI = 1.21–2.25, P: 0.001)

Ho et al. [19]2020 DecSystematic review, meta-analysis61 studies on 270,241 patients

Prevalence of obesity in hospitalized patients, ICU admission or critical illness, and severity of disease

Obesity is define as BMI ≥ 27.5 for Asia–Pacific area and BMI ≥ 27.5 for others

•Pooled prevalence of obesity was 27.6% (95% CI = 22.0–33.2)

•A positive COVID-19 test (OR = 1.50, 95% CI = 1.25–1.81, P < 0.001)

•ICU admission or critical illness (OR = 1.25, 95% CI = 0.99–1.58, P = 0.062, I2 = 31.0)

•Severe disease (OR = 3.13, 95% CI = 1.41–6.92, P = 0.005, I2 = 82.6)

•Mortality (OR = 1.36, 95% CI = 1.09–1.69, P = 0.006, I2 = 88.5)

Moazzami et al. [20]2020 DecSystematic review, meta-analysis13 studies on 2,602, 7,632, and 15,268 patients with COVID-19 were included in the analysis of obesity, diabetes, and hypertension, respectivelyTo assess the association of metabolic risk factors and risk of COVID-19

The pooled prevalence of obesity in COVID-19 patients was 29% (95% CI = 14–7%, I2 = 98%, P < 0.001)

For diabetes was 22% (95% CI = 12–33%, I2 = 99%, P < 0.001)

For hypertension was 32% (95% CI = 12–56%, I2 = 99.7%, P < 0.001)

Popkin et al. [21]2020 NovSystematic review, meta-analysis75 studies with 399,461 casesTo provide insight into the relationship between being an individual with overweight/obesity and COVID-19

Obesity was associated with more risk for:

•Positive COVID-19 test, OR = 1.46, 95% CI = 1.30–1.65,P < 0.0001

•Hospitalization, OR = 2.13, 95% CI = 1.74–2.60, P < 0.0001

•ICU admission, OR = 1.74, 95% CI = 1.46–2.08

•Mortality, OR = 1.48, 95% CI = 1.22–1.80, P < 0.001

Zhou et al. [22]2020 OctSystematic review, meta-analysis34 studies with 16,110 casesTo evaluate the association between different comorbidities and the severity of COVID-19

The prevalence of obesity was (42%, 95%CI = 34–49%)

The pooled ORs of the obesity in patients with severe or fatal vs. non-severe/fatal COVID-19 were:

•Obesity, overall OR = 1.72 (95% CI = 1.04–2.85, I2 = 69.8)

•Obesity, OR for clinical symptom or disease severity = 2.29 (95% CI = 1.22–4.29, P = 0.01, I2 = 38.5)

•Obesity, OR for death = 1.15 (95% CI = 0.98–1.34, P = 0.08, I2 = -)

Földi et al. [23]2020 JulSystematic review, meta-analysis24 retrospective cohort studies with 3279 casesTo examine whether obesity is a risk factor for the critical condition in COVID-19 patients

Obesity (BMI >  = 25 vs. BMI < 25) is a significant risk factor for:

•ICU admission (OR = 1.21, CI = 1.002–1.46, I2 = 0.0%)

•IMV requirement (OR = 2.63, CI = 1.64–4.22, I2 = 0.0%) in COVID-19

Caussy et al. [24]2020 JulCase control observational study

1674 cases

Three groups: A, 464 severe COVID-19 cases (240 cases non-critical and 224 critical cases); B, 1210 cases admitted to ICU due to non COVID-19 disease; C, general population

To assess the prevalence of obesity (BMI ≥ 30 kg/m2) among patients requiring hospitalization for severe COVID-19

25% of group A, 26% of group B, and 15.3% of group C had obesity

The risk of obesity in group A is more than group C (OR = 1.35, 95% CI = 1.08–1.66, P = 0·003). The prevalence of obesity was higher in patients with critical COVID-19 than in ICU patients without COVID-19 (OR = 1·69, 95% CI = 1·10–2.56, P = 0·017) after adjustment for age and sex

The risk of obesity in critical severe COVID-19 is more than general population (OR = 1·96, 95% CI = 1·13–3.42, P = 0·018)

Petrilli et al. [25]2020 MayProspective cohort study5279 casesTo describe outcomes in patients with COVID-19 (admission to hospital, critical illness, intensive care, mechanical ventilation) and discharge or deathBMI ≥ 40 was a risk factor for hospitalization (OR = 2.45, 95% CI = 1.78–3.36, P < 0.001); critical illness (OR = 1.71, 95% CI = 1.10–2.7, P = 0.02), and maybe mortality (OR = 1.45, 95% CI = 0.99–213, P = 0.05)

*Articles are sorted by date and number of participants

Literature review for the relationship between obesity and COVID-19 Subjects with obesity were more likely to have: •Positive SARS-CoV-2 test results (OR = 1.50; 95% CI = 1.37–1.63, I2 = 69.2%) •A higher incidence of: -Hospitalization (OR = 1.54, 95% CI = 1.33–1.78, I2 = 60.9%) -Intensive care unit admission (OR = 1.48, 95% CI = 1.24–1.77, I2 = 67.5%) -Need to invasive mechanical ventilation (OR = 1.47, 95% CI = 1.31–1.65, I2 = 18.8%) -In-hospital mortality (OR = 1.14, 95% CI = 1.04–1.26, I2 = 74.4%) The overall prevalence of comorbidities in patients with COVID-19: •HTN (32%, 95% CI = 28–36%) •Obesity (25%, 95% CI = 17–34%) •DM (18%, 95% CI = 15–20%) •CVD (16%, 95% CI = 13–19%) •Lung disease (9%, 95%CI = 7–11%) •CKD (6%, 95%CI = 5–8%) There was no association between the prevalence of obesity and severity, and mortality of COVID-19 Patients with obesity (BMI ≥ 30 vs. BMI < 30 kg/m2) had a more: •Critical COVID-19, OR = 2.35, 95%CI = 1.64–3.38, P < 0.001 •Mortality, OR = 2.68, 95%CI = 1.65–4.37, P < 0.001 The risk of critical COVID-19 and mortality increased by 9% (OR = 1.09, 95%CI = 1.04–1.14,  < 0.001) and 6% (OR = 1.06, 95%CI = 1.02–1.10,  = 0.002) for each 1 kg/m2 increase in BMI, respectively Obesity in patients with COVID-19 was associated with: •Composite poor outcome, OR = 1.73, 95%CI = 1.40–2.14, P < 0.001, I2 = 55.6% •Severity, OR = 1.90, 95%CI = 1.45–2.48, P < 0.001, I2 = 5.2% •Mortality, OR = 1.55, 95%CI = 1.16–2.06, P = 0.003, I2 = 74.4 The dose–response meta-analysis showed an increased risk of composite poor outcome by aOR = 1.052, 95%CI = 1.028–1.077,  < 0.001 for every 5 kg/m2 increase in BMI (P non-linearity < 0.001) Obesity was associated with a higher risk of SARS-CoV-2 infection as compared to those without obesity (OR: 1.39; 95% CI 1.25–1.54; P < 0.00001) Obesity was associated with a more severity of COVID-19 disease: •Hospital admission rate, OR = 2.45, 95% CI = 1.78–3.39; P < 0.00001 •Severe cases, OR = 3.74, 95% CI = 1.18–11.87; P: 0.02 •Need for ICU admission, OR = 1.30, 95% CI = 1.21–1.40; P < 0.00001 •Need for invasive mechanical ventilation, OR = 1.59, 95% CI = 1.35–1.88; P < 0.00001 •Obesity was associated with higher mortality, OR = 1.65, 95% CI = 1.21–2.25, : 0.001) Prevalence of obesity in hospitalized patients, ICU admission or critical illness, and severity of disease Obesity is define as BMI ≥ 27.5 for Asia–Pacific area and BMI ≥ 27.5 for others •Pooled prevalence of obesity was 27.6% (95% CI = 22.0–33.2) •A positive COVID-19 test (OR = 1.50, 95% CI = 1.25–1.81, P < 0.001) •ICU admission or critical illness (OR = 1.25, 95% CI = 0.99–1.58, P = 0.062, I2 = 31.0) •Severe disease (OR = 3.13, 95% CI = 1.41–6.92, P = 0.005, I2 = 82.6) •Mortality (OR = 1.36, 95% CI = 1.09–1.69, P = 0.006, I2 = 88.5) The pooled prevalence of obesity in COVID-19 patients was 29% (95% CI = 14–7%, 2 = 98%,  < 0.001) For diabetes was 22% (95% CI = 12–33%, I2 = 99%, P < 0.001) For hypertension was 32% (95% CI = 12–56%, I2 = 99.7%, P < 0.001) Obesity was associated with more risk for: •Positive COVID-19 test, OR = 1.46, 95% CI = 1.30–1.65,P < 0.0001 •Hospitalization, OR = 2.13, 95% CI = 1.74–2.60, P < 0.0001 •ICU admission, OR = 1.74, 95% CI = 1.46–2.08 •Mortality, OR = 1.48, 95% CI = 1.22–1.80, P < 0.001 The prevalence of obesity was (42%, 95%CI = 34–49%) The pooled ORs of the obesity in patients with severe or fatal vs. non-severe/fatal COVID-19 were: •Obesity, overall OR = 1.72 (95% CI = 1.04–2.85, 2 = 69.8) •Obesity, OR for clinical symptom or disease severity = 2.29 (95% CI = 1.22–4.29,  = 0.01, 2 = 38.5) •Obesity, OR for death = 1.15 (95% CI = 0.98–1.34,  = 0.08, 2 = -) Obesity (BMI >  = 25 vs. BMI < 25) is a significant risk factor for: •ICU admission (OR = 1.21, CI = 1.002–1.46, I = 0.0%) •IMV requirement (OR = 2.63, CI = 1.64–4.22, I2 = 0.0%) in COVID-19 1674 cases Three groups: A, 464 severe COVID-19 cases (240 cases non-critical and 224 critical cases); B, 1210 cases admitted to ICU due to non COVID-19 disease; C, general population 25% of group A, 26% of group B, and 15.3% of group C had obesity The risk of obesity in group A is more than group C (OR = 1.35, 95% CI = 1.08–1.66, P = 0·003). The prevalence of obesity was higher in patients with critical COVID-19 than in ICU patients without COVID-19 (OR = 1·69, 95% CI = 1·10–2.56, P = 0·017) after adjustment for age and sex The risk of obesity in critical severe COVID-19 is more than general population (OR = 1·96, 95% CI = 1·13–3.42, P = 0·018) *Articles are sorted by date and number of participants The researchers have compared the prevalence of obesity in 20 countries with the highest COVID-19 deaths according to the WHO reports. Mortality is directly related to the prevalence of obesity in these countries. [9] Body mass index (BMI) above 40 was the second leading risk factor for hospitalization in elderly people with COVID-19 [10]. In many studies with different methods, the relationship between obesity and COVID-19 has been evaluated. According to their results, COVID-19 prevalence and severity were significantly higher in obese patients compared to general population. [11-13]. Obesity is more common in people with COVID-19 than in the general population. Obesity is associated with a higher rate of positive polymerase chain reaction (PCR) tests for COVID-19, severe illness, hospitalization rate, admission to intensive care unit (ICU), and sometimes higher mortality. [14-25]. In this study, we briefly reviewed the published articles on the relationship between obesity and COVID-19 up to July 5, 2021. Table 1 summarizes the findings of several systematic review and meta-analysis studies.

Methodology

In this mini review, we searched these words “obesity & covid,” “obese & covid,” “BMI & covid,” “body mass index & covid,” “obesity & covid-19,” “obesity & covid19,” “obese & covid19,” “BMI & covid19,” “body mass index & covid19,” “risk & covid,” “severity & covid,” “mortality& covid,” “risk & covid19,” “severity & covid19,” and “mortality& covid19” in the title and abstract of “pubmed/medline,” “Scopus,” and “web of science.” Totally, 1310 articles were found. The English free full-text article from January 1, 2020, to December 30, 2020, was selected. Finally, 82 articles were included in this study.

Results

All 82 articles were studied. Full-text articles on risk factors, disease severity, and mortality from COVID-19 disease were included. Studies that had more participants and were newer are listed in Table 1. In addition, all articles were studied for epidemiological, pathophysiological, and etiological explanations, and each that explained the relationship between COVID-19 and obesity was used in the “Discussion” section of the article.

Discussion

Obesity increased the risk of COVID-19 disease, as well as its severity and mortality. This study aimed to review the mechanisms that link obesity to COVID-19. The major pathophysiology complications related to obesity in COVID-19 disease are not fully understood. The relationship between obesity and COVID-19 can be explained in different pathways. First, obesity may cause these effects alone or in combination with comorbidities. Second, obesity changes immune system balance. Third, obesity changes respiratory physiology and aggravates hypoxia and hypercapnia due to COVID-19 pneumonia. Fourth, deep vein thrombosis (DVT) and pulmonary-thromboembolism (PTE) complicate the course of COVID-19. Obesity may play a role in these complications by hypercoagulopathy. Finally, COVID-19 can also increase the prevalence of obesity and failure of obesity treatment protocols. These pathways are summarized in Fig. 1.
Fig. 1

Possible pathways linking obesity to COVID-19

Possible pathways linking obesity to COVID-19

Comorbidities

Obesity, especially visceral obesity, is one of the most important risk factors for metabolic syndrome, cardiovascular disease [26, 27], and vitamin D deficiency [28]. Obesity, along with the abovementioned diseases, can increase the severity and mortality of COVID-19 (Table 1). Insulin resistance, abnormal lipid metabolism, and diabetes along with obesity can change pulmonary vascular endothelium and pulmonary artery pressure and increase airway smooth muscle (ASM) proliferation and airway hyperresponsiveness (AHR). [29, 30]. Diseases such as type 2 diabetes, which are often associated with obesity, increase the risk of pneumonia by impairment of immune system. [31]. Lipotoxicity increases free fatty acids (FFAs). High levels of FFAs increase adipokines, myokines, and/or cytokines. These mediators promote inflammatory processes and amyloid deposition. These cytokines damage vascular endothelium and activate the renin–angiotensin–aldosterone (RAAS) system. Activation of this pathway by angiotensin-converting enzyme (ACE) receptors and insulin resistance increases blood pressure, atherosclerosis, and thrombosis. [32]. ACE2 is a homolog of ACE that converts angiotensin I to angiotensin II, which alleviates RAAS-related vasoconstriction. There are two forms of ACE2: soluble and membrane-bound. SARS-CoV-2 binds to ACE2 receptor on the cell membrane of host cell. Cell entry of corona virus depends on binding of viral spikes (S) protein to cellular receptors and on S protein priming by host cell proteases. So, the ACE2 receptor has a key role in the respiratory system involvement by SARS-CoV-2 and occurrence of acute respiratory complications of COVID-19. Obesity can propose patients to acute respiratory complications due to RAAS dysfunction. [33-35]. Vitamin D deficiency (VITDD) is more prevalent in obesity, and it can promote obesity by increasing lipogenesis. [36, 37] A variety of factors can lead to VITDD in obese people, including decreased synthesis through sunlight, vitamin D entrapment in fat cells, fatty liver complications, and lifestyle factors. Vitamin D can potentially control COVID-19 because it strengthens the body’s physical barrier against pathogens, modulating the immune system to prevent the proliferation of SARS-CoV-2 and the cytokine storm. Adequate vitamin D can reduce pulmonary injury, acute respiratory distress syndrome, as well as cardiovascular and thrombotic complications by increasing ACE2, nitric oxide, and NF-κB1 and decreasing inflammatory cytokines. [38-40].

Immune System Impairment

Leptin and adiponectin are major adipokines of adipose tissue with pro-inflammatory and anti-inflammatory properties, respectively. In obesity, leptin levels are higher, and adiponectin levels are lower than in normal-weight individuals. [41]. Adiponectin reduces T cell response to pathogens, the capacity of phagocytosis by macrophages, and B cell production in the bone marrow. It disrupts immune cell activity by inhibiting activation of the NF-κB pathway and signaling of AMP-activated protein kinase (AMPK). The production of anti-inflammatory cytokines such as IL-10 and IL1Rα with PI3K and p38 pathways is decreased by adiponectin. Low adiponectin blood levels have the opposite effect on obesity and cause an inappropriate increase in the immune response in COVID-19 disease. Leptin is closely linked to the immune system and plays an important role in the regulation of T cells and the production of cytokines. [42-45] High leptin blood level signals via STAT3 and activates both polymorphonuclear neutrophils and lymphocytes. It also increases proliferation and activation of immune cells (T cells, monocyte, macrophage, dendritic cells, and natural killer cells) and cytokine production. This unfavorable hormone milieu also leads to a dysregulation of the immune response. Obesity is associated with high frequency of both upper and lower respiratory tract infections due to innate immunity impairment. Long-term hyperleptinemia leads to leptin resistance and defects in host defense. Leptin resistance in T cells, natural killer (NK) cells, and peripheral blood monocytes has been demonstrated in obesity. [46-48]. An imbalance between pro-inflammatory and anti-inflammatory factors is the most important key point for introducing obesity as a major risk factor for abnormal immune response and acute lung injury. [49]. Fat tissue may act as a reservoir for the SARS-CoV-2 virus and facilitate the spread of the virus, and stimulate the immune response (Fig. 2). [50].
Fig. 2

The function of the immune system when a SARS-CoV-2 virus enters the body. Several cytokines and adipokines are released by the vascular endothelium, adipose tissue, and T cells after exposure to the virus. Inappropriate activation of the immune system results in cytokine storm and hypercoagulability state. These conditions complicated the COVID-19 disease course and its management. Abbreviations: VCAM-1, vascular cell adhesion protein 1; MCP-1, monocyte chemoattractant protein-1; NOS, nitric oxide synthase; IL, interleukin; TNF-α, tumor necrosis factor alpha; TLR, toll-like receptor; ACE2, angiotensin-converting enzyme 2; DDP4, dipeptidyl peptidase-4; NFκB, nuclear factor kappa-light-chain-enhancer of activated B cells; STAT3, signal transducer and activator of transcription 3; MQ, macrophage cell; NK cell, natural killer cell; IFN-γ, interferon-gamma; Th, T helper cell; CCL-2, chemokine (C–C motif) ligand 2; IG, immunoglobulin

The function of the immune system when a SARS-CoV-2 virus enters the body. Several cytokines and adipokines are released by the vascular endothelium, adipose tissue, and T cells after exposure to the virus. Inappropriate activation of the immune system results in cytokine storm and hypercoagulability state. These conditions complicated the COVID-19 disease course and its management. Abbreviations: VCAM-1, vascular cell adhesion protein 1; MCP-1, monocyte chemoattractant protein-1; NOS, nitric oxide synthase; IL, interleukin; TNF-α, tumor necrosis factor alpha; TLR, toll-like receptor; ACE2, angiotensin-converting enzyme 2; DDP4, dipeptidyl peptidase-4; NFκB, nuclear factor kappa-light-chain-enhancer of activated B cells; STAT3, signal transducer and activator of transcription 3; MQ, macrophage cell; NK cell, natural killer cell; IFN-γ, interferon-gamma; Th, T helper cell; CCL-2, chemokine (C–C motif) ligand 2; IG, immunoglobulin

Coagulopathy

COVID-19 was commonly associated with increased coagulopathy, disseminated intravascular coagulation (DIC), and acute inflammation, which resulted in higher mortality. [51, 52] Recurrent venous and arterial thromboembolism have been reported as serious complications of COVID-19 in high-risk patients (ICU patients and obese individuals). Pulmonary embolism is the most common thrombotic event that occurs despite prophylaxis against thrombosis. Obesity increases the rate of recurrent venous thromboembolism (VTE) compared to normal-weight people. [53]. VTE results from the complex interactions of genetic and environmental factors. Increased pre-coagulation factors due to inflammation along with disorders of the anticoagulant and fibrinolytic systems lead to increased coagulation and/or decreased fibrinolysis. Obesity can cause venous stasis and increase the rate of venous thrombosis. Serum levels of D-dimer, fibrinogen, factor VIII, and factor IX are directly related to BMI. [54] Visceral obesity is accompanied by a systemic oxidative stress process, pro-inflammatory cytokines, and insulin resistance. These changes result in the loss of the antithrombotic properties of the endothelium, platelets, and other circulating cells. The production of microprocoagulant (MP) particles, IL-1β, plasminogen activator inhibitor-1 (PAI-1), and tissue factor (TF), which activates the factor 7 receptor, is increased in obesity. In addition, the release of adipokines/inflammatory cytokines, such as TNF-α, IL-6, and IL-8, can result in Von Willebrand factor (VWF) release from the endothelium and the activation as well as aggregation of platelets. [55]. Obesity raises thrombin levels and subsequently increases blood coagulation, which decreases with weight loss after bariatric surgery. [56].

Respiratory System Involvement

COVID-19 disease was recognized worldwide with pneumonia and involvement of the respiratory system. Obesity also causes significant changes in the respiratory system. Increased inflammation or blood coagulation due to obesity can exacerbate lung damage in COVID-19 disease. Obesity can cause shallow breathing and a higher respiratory rate. Shallow ventilation facilitates respiratory tract infections [57]. Obesity is associated with airway hyperresponsiveness and can cause wheezing, shortness of breath, and orthopnea. Accumulation of adipose tissue in the chest wall reduces lung compliance. Reduced lung compliance and volumes can cause focal atelectasis, which is more common in the base of the lungs. Therefore, ventilation/perfusion mismatch becomes worse at the base of the lungs and reduces blood oxygen saturation by pressing on the diaphragm. Respiratory muscle weakness in obese patients increases the work of respiratory system. Sleep apnea and asthma are more common in obesity. Restrictive and obstructive respiratory pattern, ventilation/perfusion mismatch, muscle weakness, and atelectasis worsened hypoxia and hypercapnia in COVID-19. Obesity can also damage lung by systemic inflammation. Adipokines activate macrophage infiltration and secretion of other pro-inflammatory cytokines such as TNF-α and IL-6, which damage pulmonary epithelium and parenchyma. [58-62]. Mortality rates of obese patients are higher than normal-weight patients in ICU because they have a higher risk of complications such as sepsis, ventilator-associated pneumonia, and central venous catheter infection [63]. It is also more difficult in obese people to manage anesthesia during surgery and ventilate them in the ICU. [64, 65].

Treatment Challenges

Obesity may change the pharmacokinetics and pharmacodynamics of antiviral drugs, and thus affect the treatment of COVID-19. There are no approved guidelines for infection management and dose adjustment in COVID-19 patients with obesity. In healthy obese volunteers, clearance and distribution volumes of an antiviral drug (Oseltamivir) were higher than in normal-weight subjects. [66, 67]. The COVID-19 pandemic has also challenged obesity treatment. The most common protocol proposed by governments to control COVID-19 is home quarantine. Adherence to this protocol has reduced daily physical activity. Sedentary lifestyle increases the prevalence of obesity and other risk factors for cardiovascular disease. [68] Sedentary lifestyle, emotional stress, and financial problems increase the prevalence of obesity in the COVID-19 pandemic and reduce the success of treatments such as diet and exercise. Physical activities strengthen the immune system by increasing immune cells. [69]. Patients undergoing elective surgery during the COVID-19 pandemic are at risk of contamination by the virus [70]. In a cohort study of patients undergoing various surgeries, patients with COVID-19 had a higher risk of 30-day mortality and surgical, pulmonary, and thrombotic complications than those without COVID-19. These researchers recommend that elective surgery should be delayed for at least 9 weeks during the COVID-19 disease pandemic [71]. Hence, “the International Federation for the Surgery of Obesity and Metabolic Disorders (IFSO) recommend that elective metabolic surgery for obesity should be postponed throughout the pandemic.” [72] Therefore, the number of metabolic and bariatric surgeries has greatly decreased in the COVID-19 pandemic. Patients’ access to these surgeries as an effective and long-term treatment for obesity has decreased. This has unintended consequences for obese patients and exposed them to severe forms of COVID-19 disease with complications and death. It also lengthens the waiting list for bariatric surgery and gradually reduces the skill of surgeons. [73, 74].

Efficacy of COVID-19 Vaccine

Obesity may affect the rate of COVID-19 vaccination and its effectiveness. There is some evidence to support the role of obesity in reducing the effectiveness of influenza A virus vaccination. [75] Similar results may be obtained after the COVID-19 vaccine injection, which may raise concerns about its effectiveness. In a cohort study, the number needed to vaccinate (NNV) to prevent one COVID-19-related death over 1 year was lower for surgical patients than the general population in all age groups [76]. Limited data is available about this issue, and more data is needed to clarify the effect of obesity on vaccination.

Conclusion

Obesity can increase the risk of COVID-19 in different ways. Obesity has paradoxical effects on immune system, and it can impair the body’s immune defense, increase inflammation, and cause cytokine storm. Negative effects of obesity on the respiratory system, comorbidities, and insulin resistance damage the vascular endothelium and activate the RAAS system. These factors result in the end organ damage, thromboembolism, and serious complication of COVID-19. Obesity may change pharmacokinetics of the antiviral drugs and the effectiveness of the COVID-19 vaccine. On the other hand, COVID-19 can increase the prevalence of obesity and its treatment failure. These issues should be investigated in future studies.
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Journal:  Epidemiology       Date:  2015-07       Impact factor: 4.822

2.  Impact of obesity on antiretroviral pharmacokinetics and immuno-virological response in HIV-infected patients: a case-control study.

Authors:  Vincent Madelain; Minh P Le; Karen Champenois; Charlotte Charpentier; Roland Landman; Veronique Joly; Patrick Yeni; Diane Descamps; Yazdan Yazdanpanah; Gilles Peytavin
Journal:  J Antimicrob Chemother       Date:  2017-04-01       Impact factor: 5.790

3.  Obesity and bronchodilator response in black and Hispanic children and adolescents with asthma.

Authors:  Meghan E McGarry; Elizabeth Castellanos; Neeta Thakur; Sam S Oh; Celeste Eng; Adam Davis; Kelley Meade; Michael A LeNoir; Pedro C Avila; Harold J Farber; Denise Serebrisky; Emerita Brigino-Buenaventura; William Rodriguez-Cintron; Rajesh Kumar; Kirsten Bibbins-Domingo; Shannon M Thyne; Saunak Sen; Jose R Rodriguez-Santana; Luisa N Borrell; Esteban G Burchard
Journal:  Chest       Date:  2015-06       Impact factor: 9.410

4.  Obesity Is a Risk Factor for Severe COVID-19 Infection: Multiple Potential Mechanisms.

Authors:  Naveed Sattar; Iain B McInnes; John J V McMurray
Journal:  Circulation       Date:  2020-04-22       Impact factor: 29.690

5.  Obesity in COVID-19: A Systematic Review and Meta-analysis.

Authors:  Jamie S Y Ho; Daniel I Fernando; Mark Y Chan; Ching Hui Sia
Journal:  Ann Acad Med Singap       Date:  2020-12       Impact factor: 2.473

Review 6.  Adipokines in obesity.

Authors:  Viviane de Oliveira Leal; Denise Mafra
Journal:  Clin Chim Acta       Date:  2013-02-16       Impact factor: 3.786

7.  A novel coronavirus outbreak of global health concern.

Authors:  Chen Wang; Peter W Horby; Frederick G Hayden; George F Gao
Journal:  Lancet       Date:  2020-01-24       Impact factor: 79.321

8.  Association of Body mass index (BMI) with Critical COVID-19 and in-hospital Mortality: a dose-response meta-analysis.

Authors:  Yanbin Du; Yuan Lv; Wenting Zha; Nan Zhou; Xiuqin Hong
Journal:  Metabolism       Date:  2020-09-16       Impact factor: 8.694

9.  SARS-CoV-2 vaccination modelling for safe surgery to save lives: data from an international prospective cohort study.

Authors: 
Journal:  Br J Surg       Date:  2021-09-27       Impact factor: 11.122

10.  Characteristics of and Important Lessons From the Coronavirus Disease 2019 (COVID-19) Outbreak in China: Summary of a Report of 72 314 Cases From the Chinese Center for Disease Control and Prevention.

Authors:  Zunyou Wu; Jennifer M McGoogan
Journal:  JAMA       Date:  2020-04-07       Impact factor: 56.272

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Review 1.  Obesity and COVID-19: What are the Consequences?

Authors:  Charlotte Steenblock; Mohamed Hassanein; Emran G Khan; Mohamad Yaman; Margrit Kamel; Mahmoud Barbir; Dietrich E Lorke; Dean Everett; Saqipi Bejtullah; Tobias Lohmann; Uwe Lindner; Ermal Tahirukaj; Feras Jassim Jirjees; Sameh S M Soliman; Friederike Quitter; Stefan R Bornstein
Journal:  Horm Metab Res       Date:  2022-06-20       Impact factor: 2.788

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