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Review

Molecular Mechanisms Responsible for Diabetogenic Effects of COVID-19 Infection—Induction of Autoimmune Dysregulation and Metabolic Disturbances

1
Department of Infectious Diseases, University Hospital Centre Osijek, 4 Josip Huttler Street, HR-31000 Osijek, Croatia
2
Faculty of Medicine Osijek, J. J. Strossmayer University of Osijek, 4 Josip Huttler Street, HR-31000 Osijek, Croatia
3
Department of Pharmacology, Faculty of Medicine Osijek, J. J. Strossmayer University of Osijek, 4 Josip Huttler Street, HR-31000 Osijek, Croatia
4
Clinical Institute of Nuclear Medicine and Radiation Protection, University Hospital Centre Osijek, 4 Josip Huttler Street, HR-31000 Osijek, Croatia
5
Department for Nuclear Medicine and Oncology, Faculty of Medicine, J. J. Strossmayer University of Osijek, 4 Josip Huttler Street, HR-31000 Osijek, Croatia
6
Academy of Medical Sciences of Croatia, 15 Kaptol Street, HR-10000 Zagreb, Croatia
7
Department of Endocrinology and Metabolism Disorders, Internal Medicine Clinic, University Hospital Centre Osijek, 4 Josip Huttler Street, HR-31000 Osijek, Croatia
8
Faculty of Dental Medicine and Health Osijek, University of Osijek, 21 Crkvena Street, HR-31000 Osijek, Croatia
*
Author to whom correspondence should be addressed.
Int. J. Mol. Sci. 2023, 24(14), 11576; https://doi.org/10.3390/ijms241411576
Submission received: 21 June 2023 / Revised: 16 July 2023 / Accepted: 16 July 2023 / Published: 18 July 2023

Abstract

:
The COVID-19 pandemic has revealed a significant association between SARS-CoV-2 infection and diabetes, whereby individuals with diabetes are more susceptible to severe disease and higher mortality rates. Interestingly, recent findings suggest a reciprocal relationship between COVID-19 and diabetes, wherein COVID-19 may contribute to developing new-onset diabetes and worsen existing metabolic abnormalities. This narrative review aims to shed light on the intricate molecular mechanisms underlying the diabetogenic effects of COVID-19. Specifically, the review explores the potential role of various factors, including direct damage to β -cells, insulin resistance triggered by systemic inflammation, and disturbances in hormonal regulation, aiming to enhance our understanding of the COVID-19 impact on the development and progression of diabetes. By analysing these mechanisms, the aim is to enhance our understanding of the impact of COVID-19 on the development and progression of diabetes. The binding of SARS-CoV-2 to angiotensin-converting enzyme 2 (ACE2) receptors, which are present in key metabolic organs and tissues, may interfere with glucometabolic pathways, leading to hyperglycaemia, and potentially contribute to the development of new disease mechanisms. The virus’s impact on β -cells through direct invasion or systemic inflammation may induce insulin resistance and disrupt glucose homeostasis. Furthermore, glucocorticoids, commonly used to treat COVID-19, may exacerbate hyperglycaemia and insulin resistance, potentially contributing to new-onset diabetes. The long-term effects of COVID-19 on glucose metabolism are still unknown, necessitating further research into the possibility of developing a novel type of diabetes. This article provides a comprehensive overview of the current understanding of the interaction between COVID-19 and diabetes, highlighting potential areas for future research and therapeutic interventions.

1. Introduction

During the COVID-19 pandemic, it has been observed that individuals with diabetes have a significantly increased risk of developing a severe form of the illness and a higher mortality rate following infection with SARS-CoV-2 [1]. This is consistent with the long-established connection between diabetes and increased susceptibility and severity of infections, which is attributed to hyperglycaemia. Hyperglycaemia leads to cytokine dysregulation and immune response alteration, resulting in a pro-inflammatory and procoagulant state that promotes immune dysfunction through various pathways [2,3]. Individuals with diabetes also exhibit increased rates of hospitalization and mortality resulting from infections. The risk of infections escalates with worsening glycaemic control, with type 1 diabetes patients being at greater risk [4,5,6]. Individuals diagnosed with type 1 diabetes mellitus (T1DM) or type 2 diabetes mellitus (T2DM) frequently present with comorbid medical conditions, such as hypertension, obesity, and cardiovascular disease, which have been linked to an increased risk of contracting COVID-19 as well as an increased risk of infection-related mortality [7]. As the COVID-19 pandemic is constantly evolving, it has become more apparent that individuals with COVID-19 may experience hyperglycaemia, regardless of whether they have diabetes. This observation could imply a mutually influential relationship between COVID-19 and diabetes. Recent research suggests that a combination of insulin resistance and possible issues with insulin secretion may be responsible for the development of hyperglycaemia in COVID-19 patients who did not previously have diabetes [8,9].
The SARS-CoV-2 virus has the ability to attach itself to receptors called angiotensin-converting enzyme 2 (ACE2), which are present in various crucial metabolic organs and tissues, such as pancreatic β -cells, adipose tissue, kidneys, and the small intestine. This suggests that SARS-CoV-2 may potentially interfere with the glucometabolic pathways, leading to complications and even contributing to the development of new disease mechanisms [1]. Various mechanisms have been suggested to explain the occurrence of diabetes in conjunction with COVID-19 infection, including direct invasion of β -cells by the virus, leading to their impaired function, induction of insulin resistance through systemic inflammation, or endocrine alterations inciting this response [10]. It is presently uncertain if the emergence of SARS-CoV-2-induced diabetes is due to established mechanisms of type 1 diabetes mellitus (T1DM) or type 2 diabetes mellitus (T2D) or if it constitutes an atypical diabetes form. It is unknown whether COVID-19 patients are still vulnerable to developing new-onset diabetes or diabetes-related complications even after virus clearance and recovery [2,3]. Furthermore, glucocorticoids, which are frequently prescribed for moderate to severe COVID-19 cases, have been known to cause hyperglycaemia and insulin resistance, which could contribute to the incidence of new-onset diabetes [11]. Some studies have found that COVID-19 patients who develop new-onset diabetes tend to have worse outcomes than those with no diabetes or with previous diabetes [11,12,13,14]. Although the underlying mechanisms between COVID-19 and diabetes are still being investigated, it is obvious that both conditions share stress-induced pathways that interact in a two-way direction. This review aims to explore the available literature on SARS-CoV-2-related new-onset diabetes and the underlying physiological mechanisms.

2. Viruses and Diabetes Mellitus—What Do We Know So Far?

There is a great deal of speculation about viruses causing or triggering different types of chronic diseases, such as diabetes mellitus. This association was examined in studies with different viruses. For example, it was shown that enteroviruses can cause induction or acceleration of the autoimmune response to the insulin-producing β -cells of the pancreas [15,16,17]. Another example is the hepatitis C virus, which has been linked to an increased possibility of developing diabetes in liver transplant and other patients [18,19,20,21,22,23]. Furthermore, there was a large TEDDY study with 7896 participants and two relatively smaller studies—the MIDIA study with 885 participants and the BABYDIET study with 148 participants—that all confirmed an association between respiratory infection and diabetes development [24,25,26]. Al-Sayyar et al. focused on similarities between COVID-19-associated diabetes and other respiratory infections associated with diabetes, demonstrating common mechanisms among those groups of patients [27]. Because COVID-19 has been a major cause of respiratory infections since its outbreak in the year 2019, and as a relatively newly emerged disease, it presents an area of particular interest among scientists.

3. COVID-19 and Diabetes Mellitus

Clinical studies worldwide indicate that diabetes mellitus is among the most prevalent comorbidities observed in patients infected with SARS-CoV-2. At the onset of the COVID-19 pandemic, this finding, in association with the established heightened risk of infection with other pathogens, gave rise to the notion that individuals with diabetes are at a greater primary risk of contracting COVID-19. However, most of the studies reporting this finding pertain to patients receiving in-hospital care or those admitted to the intensive care unit (ICU), who typically experience a more severe course of the disease [28]. Several factors present in diabetes mellitus make individuals more susceptible and increase the severity of COVID-19 infection, including older age, a pro-inflammatory and procoagulable state, hyperglycaemia, and accompanying comorbidities like obesity, hypertension, cardiovascular disease, and chronic kidney disease. The state of hyperglycaemia, insulin resistance, and chronic low-grade inflammation leads to a dysfunction of the immune system, resulting in reduced interleukin production, decreased chemotaxis and phagocyte activity, and immobilization of polymorphonuclear leukocytes [28,29,30].
SARS-CoV-2 uses the ACE2 receptor to enter cells within the human body. People with diabetes mellitus have a greater level of expression of ACE2, which is primarily found in the lungs but also present in numerous other tissues, such as the endothelial cells of the heart and kidneys, as well as β -cells of the pancreas. Research has indicated that SARS-CoV-2 can replicate within the β -cells of the pancreas, causing harm to the pancreas and ultimately leading to hyperglycaemia and diabetic ketoacidosis [31]. The aforementioned mechanism could explain the increased susceptibility of patients with DM to illness caused by the COVID-19 infection and the emergence of more severe forms of the disease [30,32]. Both the viral spike protein binding to the ACE2 receptor and the degree of the immune response to the virus can be affected by uncontrolled hyperglycaemia. Elevated levels of blood sugar can directly increase the concentration of glucose in airway secretions [33]. Brufsky suggests that uncontrolled hyperglycaemia may increase in ACE2 receptors that are highly and aberrantly glycosylated in the lung, nasal airways, and oropharynx. This could lead to more binding sites for the SARS-CoV-2 virus, increasing the likelihood of COVID-19 infection and the severity of the disease [34]. This observation is suggestive of stress hyperglycaemia, which exhibits worse outcomes in acute illness when compared to pre-existing diabetes [35]. Stress hyperglycaemia has been identified as an unfavourable prognostic factor and has been associated with an elevated risk of respiratory failure and mortality in individuals with SARS [36]. The viral and immune responses during critical stages of COVID-19 can also lead to hyperglycaemia and reduce insulin sensitivity, resulting in additional metabolic complications [37]. Additionally, prolonged hyperglycaemia can impede the innate and humoral immune responses, thereby blocking lymphocyte proliferation, natural killer cell activity, and the function of monocytes/macrophages and neutrophils [38]. Correspondingly, numerous reports have demonstrated that elevated glucose levels upon admission serve as independent risk factors for the critical progression of COVID-19 and mortality [29,39,40].
SARS-CoV-2 directly affects the vascular system by targeting endothelial cells, resulting in severe endothelial damage and inflammation [41]. Additionally, COVID-19 causes an overproduction of pro-inflammatory cytokines, which further promotes endothelial dysfunction, which is already compromised by diabetes [42]. Three post-mortem histological analyses of patients have shown evidence of endotheliitis during COVID-19 infection, highlighting the potential for more severe clinical presentation in patients with a history of endothelial dysfunction [43]. Further evidence suggests that persistent endothelial dysfunction increases the susceptibility to severe COVID-19 disease. This is because hyperglycaemia and insulin resistance result in endothelial dysfunction and glycocalyx damage in individuals with type 2 diabetes mellitus, which then leads to leukocyte adhesion and promotes a procoagulant and antifibrinolytic state [44]. The combination of glucotoxicity and the inflammatory cytokine cascade characteristic of COVID-19, as well as immune dysregulation and endothelial damage, can result in additional metabolic complications in people with diabetes, including heightened susceptibility to thromboembolic events and multiorgan damage [45].
Thrombotic complications play a substantial role in the reduced survival rates observed in COVID -19 patients. Various studies have reported that the incidence of symptomatic venous thromboembolic events in individuals with COVID-19 ranges from 20% to 3% [46]. In contrast, the incidence of arterial thrombosis appears to be significantly lower than that of venous thromboembolism, with reported rates between 2.8% and 3.8% in small series [47]. Numerous studies indicate that COVID-19 infection can cause both arterial and venous thrombosis. Two distinct patterns of thrombotic manifestations have been identified, with one resembling classical thromboembolic disease and the other being diffuse micro-thrombotic [48]. Violi et al.’s research revealed that hospitalised COVID-19 patients are vulnerable to both venous and arterial ischemic events, which are indicators of a poor prognosis. This study contradicts previous findings by showing that COVID-19 is associated with a comparable venous and arterial thrombosis incidence. Nearly half of the 75 patients with ischemic events were affected by arterial thrombosis, altering coronary, cerebral, and peripheral circulations [49]. This thrombotic state is caused by the interaction between the inflammatory and hemostatic systems, including infected endothelial cells, leukocytes, platelets, complement activation, and the virus-induced hypoxic environment [48].
The association between COVID-19 and lipid metabolism has been observed, with liver damage being suggested as a potential etiological factor. Approximately half of COVID-19 patients exhibit mild to moderate elevations in transaminase levels, indicating impaired liver function and a potential link to hypolipidemia. However, the exact mechanism by which SARS-CoV-2-induced liver damage affects the biosynthesis of LDL-C remains to be established. Recent evidence from COVID-19 patients indicates a significant increase in IL-6 levels in 96% of those investigated, suggesting that proinflammatory cytokines and acute inflammation may play a crucial role in the disturbed lipid metabolism observed in COVID-19 patients [50]. Viral-induced inflammation can lead to dyslipidemia, specifically decreased LDL-C levels. The reduced LDL-C levels are likely not primarily caused by liver damage but rather influenced by acute inflammation and elevated levels of proinflammatory cytokines such as IL-6. These results demonstrate the importance of inflammation in altering lipid metabolism in COVID-19 infection. Upon admission to the hospital, COVID-19 patients experience a reduction in LDL-C levels, which persists throughout the course of treatment. However, upon discharge, LDL-C levels gradually return to their pre-infection levels. Total cholesterol follows a similar pattern, while HDL-C levels decrease initially and remain low even after recovery. Non-surviving COVID-19 patients experience a continuous decline in LDL-C, HDL-C, and total cholesterol levels until death. Critically ill patients also exhibit reduced HDL-C levels, while even mildly symptomatic patients can develop hypolipidemia that corresponds to disease severity [51]. LDL-C cholesterol shows promise as a potential prognostic indicator for poor outcomes in COVID-19 [52]. Infection with SARS-CoV-2 can also affect thyroid function, with mild reductions in TSH and FT4 levels observed in some COVID-19 patients [53]. The thyroid gland expresses higher levels of ACE2 and TMPRSS2 than the respiratory system, which may contribute to a variety of immune responses and manifestations. Moreover, the cytokine storm associated with COVID-19 may indirectly cause prolonged inflammation in the thyroid gland [50].
Drugs commonly used to treat COVID-19, such as corticosteroids or antiviral agents, can worsen hyperglycaemia, leading to lipodystrophy and insulin resistance [37]. An observational study revealed that hospitalized patients with COVID-19 who had hyperglycaemia demonstrated elevated levels of IL-6 and D-dimer, two markers associated with inflammation and a procoagulant state. Effective glucose control significantly decreased these levels, suggesting that hyperglycaemia contributes to heightened inflammation and a procoagulant state independently of viral factors. Therefore, both type 1 and type 2 diabetes mellitus (T1DM and T2DM), particularly when accompanied by inadequate glycemic control, present high-risk pre-existing conditions for various bacterial and viral infections, including SARS-CoV-2 [3,54]. The available research had mainly focused on patients with type 2 diabetes (T2DM) or lacked information on diabetes type, leaving uncertainty regarding the elevated risk of severe COVID-19 in type 1 diabetes (T1DM) patients. Recent evidence suggests, however, that individuals with type 1 diabetes mellitus (T1DM) are at an increased risk of experiencing severe outcomes related to COVID-19, such as mortality, ICU admission, and hospitalisation. Compared to non-diabetic individuals, T1DM patients experience a 3.5-fold increase in in-hospital deaths due to COVID-19, according to a study of the entire English population [55]. Individuals with T1DM and COVID-19 who had an HbA1c level greater than 10.0% (86 mmol/mol) were found to have significantly higher odds of mortality compared to those with an HbA1c level of 6.5–7.0% (48–53 mmol/mol). Similarly, a nationwide population-based study in Scotland showed that T1DM patients faced higher risks of COVID-19-related mortality and ICU admission compared to T2DM patients [56]. Finally, a recent prospective cohort study conducted in the USA confirmed these findings and further showed that T1DM patients had a higher risk of hospitalization for COVID-19 than T2DM patients [57]. It should not be neglected that SARS-CoV-2 patients with diabetes are more prone to the development of severe clinical presentation [58,59], as well as the complicated course of the disease, especially when they are not regulated properly. A large prospective cohort study that included 9058 patients in Romania showed that patients with T2DM were associated with higher intensive care unit mortality [60]. Those results are also supported by meta-analysis, including data from 6,653,207 patients associating diabetes mellitus with both hospital and community-based mortality and risk for developing severe clinical presentation and need for hospitalization [61]. Furthermore, SARS-CoV-2 has been identified as a plausible culprit for the onset of diabetes mellitus in previously healthy individuals [62,63]. Moreover, there is a correlation between COVID-19 and notable impairment in metabolic function in both new-onset and pre-existing diabetes cases, potentially leading to severe conditions like diabetic ketoacidosis (DKA) and hyperglycaemic hyperosmolar state (HHS) [8,64,65,66].

4. COVID-19-Induced Diabetes

The association between diabetes and COVID-19 is probably bidirectional. Diabetes is known as a serious disease and comorbidity associated with a more severe clinical presentation and worse prognosis in many infectious and other diseases [67,68,69,70,71,72,73,73]. New-onset hyperglycaemia has been increasingly observed in adults with no history of diabetes in association with COVID-19, accompanied with significant morbidity and mortality. Although infection-induced inflammation and cytokine activation leading to insulin resistance may cause stress hyperglycaemia, it is unknown to what extent the direct destruction of islet cells by the virus, resulting in decreased insulin production and release, contributes [9]. Interestingly, COVID-19 infection has been linked to the development of diabetes, evident through sudden onset hyperglycaemia in non-diabetic individuals, diabetic ketoacidosis in pre-existing diabetic patients with COVID-19, and the emergence of diabetes in patients with COVID-19 [13,74,75,76], shown in Table 1.
Like other viruses, SARS-CoV-2 infections can trigger a stress response that may decrease insulin secretion, activate the release of cortisol and adrenaline, and stimulate excessive gluconeogenesis, leading to temporary hyperglycaemia. These mechanisms do not inevitably result in diabetes [80]. COVID-19 infection has been associated with a distinctive range of newly developed diabetes variations, including some that appear to be unique to the disease. While most large-scale studies have categorized new-onset diabetes as either type 1 or type 2, recent case reports have suggested that COVID-induced diabetes can take on different forms. Omotosho et al. presented a case study of a woman who developed latent autoimmune diabetes of adulthood (LADA) following a COVID-19 infection [81]. Positive tests for islet cell and glutamic acid decarboxylase (GAD) antibodies confirmed the patient’s type 1 diabetes diagnosis. Marchand et al. also reported a case of LADA in a patient infected with COVID-19 [82].
A random effects meta-analysis determined that the overall incidence of new-onset diabetes among COVID-19 patients was 14.4% [62]. Additionally, a systematic review and meta-analysis of eight cohort studies, which included over forty-seven million individuals, demonstrated that COVID-19 was associated with a 66% increase in the risk of diabetes compared to those who did not contract COVID-19. The risk was not influenced by variables such as age, gender, or study quality [83]. Patients with newly diagnosed diabetes as a result of COVID-19 have a greater risk of hospitalization and death compared to those who are normoglycaemic or have only temporary hyperglycaemia. These patients with pre-existing or new-onset diabetes associated with COVID-19 also have more severe complications, such as acute respiratory distress syndrome, acute renal failure, shock, and low albumin levels, compared to those with normal or temporarily elevated blood sugar levels [11]. Furthermore, patients with COVID-19 are also more prone to ketoacidosis [84,85,86], which could indicate the diabetogenic potential of SARS-CoV-2. The mechanisms mentioned were proposed by Sathish et al. [87] and some other authors [88,89]. Some studies showed that diabetes is related to prolonged hospitalization of patients with COVID-19 [90] and with worse disease outcomes [27,28,79,91,92,93,94,95,96]. It is also concluded that patients with diabetes mellitus are more prone to developing severe symptoms of COVID-19 [28,93,94,96]. Moreover, newly diagnosed diabetes during SARS-CoV-2 infection has been linked to an even worse prognosis than pre-existing, probably due to insufficient diabetes regulation [62,92,93,97].
A previous study that involved more than 180,000 veterans showed that individuals who had recovered from COVID-19 were 40% more likely to develop diabetes than those who had not previously been diagnosed with COVID-19. As mentioned, another study revealed that as much as 14% of individuals who were hospitalized for COVID-19 were subsequently diagnosed with diabetes [83]. Another meta-analysis that included 4,270,747 SARS-CoV-2 positive patients surviving the disease and 43,203,759 control patients demonstrated a higher risk of diagnosing diabetes in recovered COVID-19 patients than in the control group [83]. Those data could be in favour of the diabetogenic potential of SARS-CoV-2 or could have a connection with corticosteroid treatment, which can worsen hyperglycaemia, resulting in a negative impact on patients’ physiological processes [28,98]. However, the SARS-CoV-2 pandemic influenced diabetic patients in other ways, such as health availability and support, which were mostly insufficient, at least at the beginning of the pandemic [99,100,101,102].

4.1. Type 1 Diabetes Mellitus (T1DM)

Although type 1 diabetes is autoimmune in nature, its onset usually necessitates an environmental trigger, such as an infection [103]. In the case of SARS-CoV-2, it is suggested that direct infection, coupled with the inflammatory response and interactions with the renin–angiotensin system, can lead to damage to pancreatic cells and the development of new-onset diabetes. Case reports of individuals with recent SARS-CoV-2 infection presenting with new-onset T1DM and DKA suggest that SARS-CoV-2 infection may expedite the development of T1DM or elevate the susceptibility to its metabolic complications [66,77,78,104]. There is much speculation surrounding the suggestion that exposure to SARS-CoV-2 could have triggered the onset of T1DM, which may have contributed to the rise in DKA. However, there is insufficient evidence to confirm whether this new-onset diabetes represents classic T1DM or a distinct form of diabetes. It remains unclear whether the severe COVID-19-induced hyperglycaemia observed in some individuals would resolve over time, as was observed with SARS-CoV-1-induced diabetes [1]. The precise mechanisms by which SARS-CoV-2 increases the risk of T1DM are still being investigated. However, it is known that the destruction of β -cells can initiate the spread of epitopes, leading to the activation of CD-8 T cells and the production of a broader spectrum of autoantibodies that target various islet cells, such as insulin, glutamic acid decarboxylase, and protein tyrosine phosphatase. This autoimmune response depletes functional β -cells, resulting in hyperglycemia and the clinical manifestation of type 1 diabetes [105].

4.2. Type 2 Diabetes Mellitus (T2DM)

Studies have indicated that acute COVID-19 more often may exacerbate pre-existing prediabetes or T2DM [106]. Individuals who are hospitalized for acute COVID-19 infections may have undetected diabetes mellitus. The pandemic-related changes in lifestyle, such as decreased physical activity due to measures like lockdowns, may have played a role in the increased weight gain and glyco-metabolic syndrome observed in people with prediabetes. Such changes may also raise the risk of developing new-onset diabetes in the post-infectious stage [79]. COVID-19 can elevate stress hormones, such as adrenaline and cortisol, which may trigger the production of glucose, resulting in hyperglycaemia [107]. Also, direct cytotoxic injury to pancreatic cells caused by SARS-CoV-2 infection may result in reduced insulin production [108]. COVID-19 may exacerbate pre-existing T2DM or prediabetes. Certain studies suggest that these conditions are transient and may resolve with time, but this hypothesis requires ongoing investigation in the future [106].

4.3. COVID-19-Vaccine-Induced Diabetes Mellitus

There are speculations about the impact of COVID-19 vaccines on diabetes mellitus development. For now, there are mostly case reports for such events; patients are usually presenting with ketoacidosis [109,110,111], hyperglycaemia [112,113,114], or hyperosmolar state [113]. There were some observations that vaccines could precipitate hyperglycaemia and other complications in patients that already have diabetes [115], but a study conducted on 350,936 cases did not find such a link [116], as well as a study completed in paediatric patients [117]. Furthermore, there are reports about more frequent adverse reactions to the vaccines with diabetic patients [118,119], but other researchers did not find such a relation [58]. There were concerns that, since diabetes mellitus is a procoagulatory state, vaccines could precipitate thromboembolic incidents, but a study investigating coagulation pathways in T1DM and T2DM patients after vaccination did not find significant differences compared to healthy individuals [59]. Vaccines not only reduce the chance of severe clinical presentation and hospital admission in diabetic patients [120] but could also have a protective effect and reduce the possibility of developing diabetes mellitus after COVID-19 in healthy individuals [108,121]. Nevertheless, patients with diabetes mellitus have decreased antibody and memory β -cell response to the vaccine [58,122,123], and there are reports that vaccines could be less effective in those individuals [124,125].

5. Underlying Pathophysiological Mechanism of COVID-19-Induced Diabetes Mellitus

The pathogenesis of SARS-CoV-2-induced new-onset diabetes is complex and not yet fully understood. As previously described, it may involve direct β -cell damage, systemic-inflammation-induced insulin resistance, and hormonal dysregulation. Additionally, treatment with glucocorticoids for COVID-19 may increase the risk of new-onset diabetes due to their association with hyperglycaemia and insulin resistance [126,127], shown in Figure 1.

5.1. Direct and Indirect β -Cell Damage

The onset of acute hyperglycaemia during coronavirus infection has been linked to the binding of the virus to the ACE2 receptor located in pancreatic islet cells [128]. The SARS-CoV-2 virus infects cells by attaching to receptors such as ACE2, TMPRSS2, and DPP-4, which are present not only in alveolar cells but also in cells of the pancreas, heart, and small intestine. The expression of ACE2 has been found to be more prominent in the pancreas than in the lungs and has been detected in both the exocrine glands and islets of the pancreas, including β -cells [129]. Autopsies of COVID-19 patients have confirmed the presence of the virus in β -cells and the potential for replication within the endocrine pancreas. The virus infects pancreatic β -cells and causes transdifferentiation, leading to decreased insulin secretion and increased production of glucagon and trypsin 1 [130]. The findings of Muller et al. indicate that SARS-CoV-2 infection of β -cells can result in hormone-negative cells, supporting the theory that the disruption of glucose regulation observed in COVID-19 patients may play a role in the development of new-onset diabetes [131]. The pro-inflammatory cytokines and acute-phase reactants triggered by COVID-19 may directly induce inflammation and harm pancreatic β -cells [132]. Individuals with acute SARS-CoV-2 infection may experience a cytokine storm, an intensely inflammatory state affecting various organs in the body, including the pancreas. This can give rise to acute pancreatitis and degeneration of the pancreatic islet cells, potentially resulting in hyperglycaemia and diabetes if the damage is extensive [133].

5.1.1. Indirect β -Cell Damage: Autoimmunity and Inflammation

COVID-19 has been linked to the development of various autoimmune disorders, including systemic lupus erythematosus (SLE), Guillain–Barré syndrome, and Grave’s disease. The autoimmunity of β -cells could be explained by molecular mimicry [134]. Molecular mimicry refers to a phenomenon where a viral epitope shares similarities with a host islet protein, potentially triggering an autoimmune response against the host tissue in susceptible individuals. However, studies conducted to investigate molecular mimicry have produced inconclusive findings. It is likely that molecular mimicry does not initiate the autoimmune process independently but rather accelerates it once it has already been initiated [135]. Prolonged infection of β -cells leads to the continual overexpression of MHC-1, which in turn leads to the persistent presentation of β -cells epitopes to the immune system. This sustained presentation of antigens contributes to the promotion of autoimmunity [64]. Excessive formation of neutrophil extracellular traps (NETs) during COVID-19 infection may also play a role in autoimmunity. NETs are complex structures composed of DNA, histones, microbicidal proteins, and oxidant enzymes that neutrophils release to contain infections. While neutrophil extracellular traps (NETs) play a crucial role in preventing the invasion of pathogens, their uncontrolled formation can have detrimental effects, including the development of autoimmune inflammation and tissue damage [136]. The ACE2 receptor plays a pivotal role in anti-inflammatory pathways by producing angiotensin 1–7, which has vasodilatory and antifibrotic effects, by converting angiotensin II into inactive angiotensin 1–7. In SARS-CoV-2 infection, ACE2 expression is reduced, resulting in reduced levels of angiotensin 1–7 and increased inflammation and coagulability [137]. Chee et al. have proposed a hypothesis stating that reduced levels of ACE2 and the detrimental effects of angiotensin II cause diminished blood flow to pancreatic β -cells, leading to β -cell dysfunction and glycaemic dysregulation. Angiotensin II also has a pro-inflammatory effect, increasing macrophage and monocyte infiltration, further exacerbating the disruption of β -cell function. These mechanisms are likely to cause β -cell function disruptions, resulting in glycaemic dysregulation [104,138].

5.1.2. Insulin Resistance

Patients with COVID-19 often experience a decreased sensitivity to insulin due to the damage to their β -cells and may require an increase in insulin dosage, especially during feverish episodes [139]. According to research by He et al., COVID-19 was found to cause new-onset insulin resistance in patients without a prior history of metabolic disease [140]. The research demonstrated a reduction in the activity of the REST transcription factor, which is connected to alterations in the expression of essential genes involved in glucose and lipid metabolism. Additionally, an increase in propionic and isobutyric acids was noted, and previous animal studies have established a link between these acids and insulin resistance. Interestingly, the BMI range for subjects with COVID-19 in this study was between 20.5 and 24.6, suggesting that lean individuals may also develop insulin resistance, independent of traditional risk factors such as high BMI. This study also showed that insulin resistance persists even after SARS-CoV-2 has been eliminated, suggesting potential long-term consequences for COVID-19 patients [140].
The induction of the integrated stress response (ISR) due to stressors can activate a group of four serine/threonine kinases, including RNA-dependent protein kinases that may phosphorylate insulin receptor substrates (IRS) at serine, which can suppress the insulin signalling pathway. In the case of SARS-CoV-2 infection, viral RNA fragments may activate kinase and induce insulin resistance [137]. Additionally, cytokine storm, a condition characterized by high levels of pro-inflammatory cytokines, is known to activate the serine/threonine kinase family associated with the ISR, resulting in insulin resistance [141,142]. In a study by Šestan et al., viral-infection-induced production of interferon gamma (IFN) reduced insulin receptors in skeletal muscle, resulting in insulin resistance. This mechanism could contribute to the insulin resistance observed in patients with COVID-19-induced diabetes, both adults and children [143,144,145]. Cellular stress during acute inflammation may stimulate accelerated lipolysis, leading to increased levels of free fatty acids in circulation and relative insulin deficiency [132]. Once more, the potential impact of glucocorticoid therapy on precipitating insulin resistance should not be overlooked.

6. Future Directions and Conclusions

The study of COVID-19’s impact on glucose regulation is a pressing area of research. The underlying cause of glucose imbalance in COVID-19 patients is complex and multi-dimensional, encompassing insulin resistance and β -cell dysfunction. Clinical data have shown that COVID-19 patients require increased insulin doses to maintain glucose control and exhibit significant fluctuations in glucose levels. Scientists are exploring SARS-CoV-2’s mechanisms of β -cell destruction through its known receptors, such as ACE2, and other potential entry points that require further investigation. Additionally, the connection between the β -cells and the endothelium, which is crucial for intact β -cell function, may also contribute to β -cell dysfunction indirectly. Timely recognition and management of patients with new-onset diabetes post-COVID-19 is of paramount importance as it has been linked to unfavourable outcomes. Further research is imperative to fully understand this novel type of diabetes and to establish effective management strategies. The long-term effects of COVID-19 on glucose metabolism are still unclear, including whether these disruptions are permanent or if the virus can cause a novel form of diabetes. Further research is imperative to fully elucidate this novel type of diabetes and to establish effective management strategies and potential treatment options.

Funding

This research paper was supported by IP20-2023 Instituitional project, principal investigator Associate Professor Ines Bilić Ćurčić, MD, and their support is gratefully acknowledged.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Acknowledgments

The authors acknowledge the constructive comments and suggestions provided by the anonymous reviewers, which improved the manuscript’s quality.

Conflicts of Interest

The authors declare no conflict of interest.

Abbreviations

The following abbreviations are used in this manuscript (in alphabetical order):
ACE2Angiotensin-Converting Enzyme 2
BMIBody Mass Index
COVID-19Coronavirus Disease 2019
DKADiabetic Ketoacidosis
DNADeoxyribonucleic Acid
DPP-4Dipeptidyl-Peptidase 4
FT4Free Thyroxine
GADGlutamic Acid Decarboxylase
HbA1cHemoglobin A1c
HDL-CHigh-Density Lipoprotein Cholesterol
HHSHyperglycaemic Hyperosmolar State
ICUIntensive Care Unit
IFNInterferon Gamma
IL-6Interleukin 6
IRSInsulin Receptor Substrates
ISRIntegrated Stress Response
LDL-CLow-Density Lipoprotein Cholesterol
NETNeutrophil Extracellular Trap
RESTRepressor Element-1 Silencing Transcription factor
RNARibonucleic Acid
SARS-CoV-2Severe Acute Respiratory Syndrome Coronavirus 2
SLESystemic Lupus Erythematosus
T1DMType 1 Diabetes Mellitus
T2DMType 2 Diabetes Mellitus
TMPRSS2Transmembrane Serine Protease 2
TNF-alphaTumor Necrosis Factor Alpha
TSHThyroid-stimulating hormone

References

  1. Rubino, F.; Amiel, S.A.; Zimmet, P.; Alberti, G.; Bornstein, S.; Eckel, R.H.; Mingrone, G.; Boehm, B.; Cooper, M.E.; Chai, Z.; et al. New-Onset Diabetes in COVID-19. N. Engl. J. Med. 2020, 383, 789–790. [Google Scholar] [CrossRef] [PubMed]
  2. Joshi, N.; Caputo, G.M.; Weitekamp, M.R.; Karchmer, A.W. Infections in patients with diabetes mellitus. N. Engl. J. Med. 1999, 341, 1906–1912. [Google Scholar] [CrossRef]
  3. Al-Aly, Z.; Xie, Y.; Bowe, B. High-dimensional characterization of post-acute sequelae of COVID-19. Nature 2021, 594, 259–264. [Google Scholar] [CrossRef] [PubMed]
  4. Erener, S. Diabetes, infection risk and COVID-19. Mol. Metab. 2020, 39, 101044. [Google Scholar] [CrossRef] [PubMed]
  5. Carey, I.M.; Critchley, J.A.; DeWilde, S.; Harris, T.; Hosking, F.J.; Cook, D.G. Risk of Infection in Type 1 and Type 2 Diabetes Compared With the General Population: A Matched Cohort Study. Diabetes Care 2018, 41, 513–521. [Google Scholar] [CrossRef] [Green Version]
  6. Casqueiro, J.; Casqueiro, J.; Alves, C. Infections in patients with diabetes mellitus: A review of pathogenesis. Indian J. Endocrinol. Metab. 2012, 16 Suppl 1, S27–S36. [Google Scholar] [CrossRef]
  7. Zhu, L.; She, Z.G.; Cheng, X.; Qin, J.J.; Zhang, X.J.; Cai, J.; Lei, F.; Wang, H.; Xie, J.; Wang, W.; et al. Association of Blood Glucose Control and Outcomes in Patients with COVID-19 and Pre-existing Type 2 Diabetes. Cell Metab. 2020, 31, 1068–1077.e3. [Google Scholar] [CrossRef] [PubMed]
  8. Apicella, M.; Campopiano, M.C.; Mantuano, M.; Mazoni, L.; Coppelli, A.; Del Prato, S. COVID-19 in people with diabetes: Understanding the reasons for worse outcomes. Lancet Diabetes Endocrinol. 2020, 8, 782–792. [Google Scholar] [CrossRef]
  9. Ceriello, A.; De Nigris, V.; Prattichizzo, F. Why is hyperglycaemia worsening COVID-19 and its prognosis? Diabetes Obes. Metab. 2020, 22, 1951–1952. [Google Scholar] [CrossRef]
  10. Lazarus, G.; Audrey, J.; Wangsaputra, V.K.; Tamara, A.; Tahapary, D.L. High admission blood glucose independently predicts poor prognosis in COVID-19 patients: A systematic review and dose-response meta-analysis. Diabetes Res. Clin. Pract. 2021, 171, 108561. [Google Scholar] [CrossRef]
  11. Li, H.; Tian, S.; Chen, T.; Cui, Z.; Shi, N.; Zhong, X.; Qiu, K.; Zhang, J.; Zeng, T.; Chen, L.; et al. Newly diagnosed diabetes is associated with a higher risk of mortality than known diabetes in hospitalized patients with COVID-19. Diabetes Obes. Metab. 2020, 22, 1897–1906. [Google Scholar] [CrossRef] [PubMed]
  12. Wang, S.; Ma, P.; Zhang, S.; Song, S.; Wang, Z.; Ma, Y.; Xu, J.; Wu, F.; Duan, L.; Yin, Z.; et al. Fasting blood glucose at admission is an independent predictor for 28-day mortality in patients with COVID-19 without previous diagnosis of diabetes: A multi-centre retrospective study. Diabetologia 2020, 63, 2102–2111. [Google Scholar] [CrossRef] [PubMed]
  13. Fadini, G.P.; Morieri, M.L.; Boscari, F.; Fioretto, P.; Maran, A.; Busetto, L.; Bonora, B.M.; Selmin, E.; Arcidiacono, G.; Pinelli, S.; et al. Newly-diagnosed diabetes and admission hyperglycemia predict COVID-19 severity by aggravating respiratory deterioration. Diabetes Res. Clin. Pract. 2020, 168, 108374. [Google Scholar] [CrossRef] [PubMed]
  14. Coppelli, A.; Giannarelli, R.; Aragona, M.; Penno, G.; Falcone, M.; Tiseo, G.; Ghiadoni, L.; Barbieri, G.; Monzani, F.; Virdis, A.; et al. Hyperglycemia at Hospital Admission Is Associated With Severity of the Prognosis in Patients Hospitalized for COVID-19: The Pisa COVID-19 Study. Diabetes Care 2020, 43, 2345–2348. [Google Scholar] [CrossRef] [PubMed]
  15. Yeung, W.C.G.; Rawlinson, W.D.; Craig, M.E. Enterovirus infection and Type 1 diabetes mellitus: Systematic review and meta-analysis of observational molecular studies. BMJ 2011, 342, 421. [Google Scholar] [CrossRef] [Green Version]
  16. Rewers, M.; Ludvigsson, J. Environmental risk factors for type 1 diabetes. Lancet 2016, 387, 2340–2348. [Google Scholar] [CrossRef] [Green Version]
  17. Hyöty, H.; Hiltunen, M.; Knip, M.; Laakkonen, M.; Vähäsalo, P.; Karjalainen, J.; Koskela, P.; Roivainen, M.; Leinikki, P.; Hovi, T. A prospective study of the role of coxsackie B and other enterovirus infections in the pathogenesis of IDDM. Childhood Diabetes in Finland (DiMe) Study Group. Diabetes 1995, 44, 652–657. [Google Scholar] [CrossRef]
  18. Fabrizi, F.; Martin, P.; Dixit, V.; Bunnapradist, S.; Kanwal, F.; Dulai, G. Post-transplant diabetes mellitus and HCV seropositive status after renal transplantation: Meta-analysis of clinical studies. Am. J. Transplant. Off. J. Am. Soc. Transplant. Am. Soc. Transpl. Surg. 2005, 5, 2433–2440. [Google Scholar] [CrossRef]
  19. Labropoulou-Karatza, C.; Goritsas, C.; Fragopanagou, H.; Repandi, M.; Matsouka, P.; Alexandrides, T. High prevalence of diabetes mellitus among adult β-thalassaemic patients with chronic hepatitis C. Eur. J. Gastroenterol. Hepatol. 1999, 11, 1033–1036. [Google Scholar] [CrossRef]
  20. Mason, A.L.; Lau, J.Y.; Hoang, N.; Qian, K.; Alexander, G.J.; Xu, L.; Guo, L.; Jacob, S.; Regenstein, F.G.; Zimmerman, R.; et al. Association of diabetes mellitus and chronic hepatitis C virus infection. Hepatology 1999, 29, 328–333. [Google Scholar] [CrossRef]
  21. Knobler, H.; Stagnaro-Green, A.; Wallenstein, S.; Schwartz, M.; Roman, S.H. Higher incidence of diabetes in liver transplant recipients with hepatitis C. J. Clin. Gastroenterol. 1998, 26, 30–33. [Google Scholar] [CrossRef] [PubMed]
  22. Mehta, S.H.; Brancati, F.L.; Sulkowski, M.S.; Strathdee, S.A.; Szklo, M.; Thomas, D.L. Prevalence of type 2 diabetes mellitus among persons with hepatitis C virus infection in the United States. Ann. Intern. Med. 2000, 133, 592–599. [Google Scholar] [CrossRef] [PubMed]
  23. Sánchez-Pérez, B.; Aranda Narváez, J.M.; Santoyo Santoyo, J.; Fernández-Aguilar, J.L.; Suárez Muñoz, M.A.; González-Sánchez, A.J.; Pérez Daga, J.A.; Ramírez Plaza, C.P.; Carrasco Campos, J.; Jiménez Mazure, C.; et al. Influence of Immunosuppression and Effect of Hepatitis C Virus on New Onset of Diabetes Mellitus in Liver Transplant Recipients. Transplant. Proc. 2008, 40, 2994–2996. [Google Scholar] [CrossRef] [PubMed]
  24. Rasmussen, T.; Witsø, E.; Tapia, G.; Stene, L.C.; Rønningen, K.S. Self-reported lower respiratory tract infections and development of islet autoimmunity in children with the type 1 diabetes high-risk HLA genotype: The MIDIA study. Diabetes/Metab. Res. Rev. 2011, 27, 834–837. [Google Scholar] [CrossRef]
  25. Lönnrot, M.; Lynch, K.F.; Elding Larsson, H.; Lernmark, Å.; Rewers, M.J.; Törn, C.; Burkhardt, B.R.; Briese, T.; Hagopian, W.A.; She, J.X.; et al. Respiratory infections are temporally associated with initiation of type 1 diabetes autoimmunity: The TEDDY study. Diabetologia 2017, 60, 1931–1940. [Google Scholar] [CrossRef] [Green Version]
  26. Beyerlein, A.; Wehweck, F.; Ziegler, A.G.; Pflueger, M. Respiratory infections in early life and the development of islet autoimmunity in children at increased type 1 diabetes risk: Evidence from the BABYDIET study. JAMA Pediatr. 2013, 167, 800–807. [Google Scholar] [CrossRef] [Green Version]
  27. Al-Sayyar, A.; Hulme, K.D.; Thibaut, R.; Bayry, J.; Sheedy, F.J.; Short, K.R.; Alzaid, F. Respiratory Tract Infections in Diabetes—Lessons From Tuberculosis and Influenza to Guide Understanding of COVID-19 Severity. Front. Endocrinol. 2022, 13, 919223. [Google Scholar] [CrossRef]
  28. Landstra, C.P.; de Koning, E.J.P. COVID-19 and Diabetes: Understanding the Interrelationship and Risks for a Severe Course. Front. Endocrinol. 2021, 12, 649525. [Google Scholar] [CrossRef]
  29. Zhou, Y.; Chi, J.; Lv, W.; Wang, Y. Obesity and diabetes as high-risk factors for severe coronavirus disease 2019 (COVID-19). Diabetes/Metabolism Res. Rev. 2021, 37, e3377. [Google Scholar] [CrossRef]
  30. Feldman, E.L.; Savelieff, M.G.; Hayek, S.S.; Pennathur, S.; Kretzler, M.; Pop-Busui, R. COVID-19 and Diabetes: A Collision and Collusion of Two Diseases. Diabetes 2020, 69, 2549–2565. [Google Scholar] [CrossRef]
  31. Wu, C.T.; Lidsky, P.V.; Xiao, Y.; Lee, I.T.; Cheng, R.; Nakayama, T.; Jiang, S.; Demeter, J.; Bevacqua, R.J.; Chang, C.A.; et al. SARS-CoV-2 infects human pancreatic β cells and elicits β cell impairment. Cell Metab. 2021, 33, 1565–1576.e5. [Google Scholar] [CrossRef] [PubMed]
  32. Rajpal, A.; Rahimi, L.; Ismail-Beigi, F. Factors leading to high morbidity and mortality of COVID-19 in patients with type 2 diabetes. J. Diabetes 2020, 12, 895–908. [Google Scholar] [CrossRef] [PubMed]
  33. Morra, M.E.; Van Thanh, L.; Kamel, M.G.; Ghazy, A.A.; Altibi, A.M.A.; Dat, L.M.; Thy, T.N.X.; Vuong, N.L.; Mostafa, M.R.; Ahmed, S.I.; et al. Clinical outcomes of current medical approaches for Middle East respiratory syndrome: A systematic review and meta-analysis. Rev. Med. Virol. 2018, 28, e1977. [Google Scholar] [CrossRef]
  34. Brufsky, A. Hyperglycemia, hydroxychloroquine, and the COVID-19 pandemic. J. Med. Virol. 2020, 92, 770–775. [Google Scholar] [CrossRef] [PubMed]
  35. Umpierrez, G.E.; Isaacs, S.D.; Bazargan, N.; You, X.; Thaler, L.M.; Kitabchi, A.E. Hyperglycemia: An independent marker of in-hospital mortality in patients with undiagnosed diabetes. J. Clin. Endocrinol. Metab. 2002, 87, 978–982. [Google Scholar] [CrossRef]
  36. Yang, J.K.; Feng, Y.; Yuan, M.Y.; Yuan, S.Y.; Fu, H.J.; Wu, B.Y.; Sun, G.Z.; Yang, G.R.; Zhang, X.L.; Wang, L.; et al. Plasma glucose levels and diabetes are independent predictors for mortality and morbidity in patients with SARS. Diabet. Med. J. Br. Diabet. Assoc. 2006, 23, 623–628. [Google Scholar] [CrossRef] [PubMed]
  37. Korytkowski, M.; Antinori-Lent, K.; Drincic, A.; Hirsch, I.B.; McDonnell, M.E.; Rushakoff, R.; Muniyappa, R. A Pragmatic Approach to Inpatient Diabetes Management during the COVID-19 Pandemic. J. Clin. Endocrinol. Metab. 2020, 105, 3076–3087. [Google Scholar] [CrossRef]
  38. Knapp, S. Diabetes and Infection: Is There a Link? Gerontology 2013, 59, 99–104. [Google Scholar] [CrossRef]
  39. Cummings, M.J.; Baldwin, M.R.; Abrams, D.; Jacobson, S.D.; Meyer, B.J.; Balough, E.M.; Aaron, J.G.; Claassen, J.; Rabbani, L.E.; Hastie, J.; et al. Epidemiology, clinical course, and outcomes of critically ill adults with COVID-19 in New York City: A prospective cohort study. Lancet 2020, 395, 1763–1770. [Google Scholar] [CrossRef]
  40. Wu, C.; Chen, X.; Cai, Y.; Xia, J.; Zhou, X.; Xu, S.; Huang, H.; Zhang, L.; Zhou, X.; Du, C.; et al. Risk Factors Associated with Acute Respiratory Distress Syndrome and Death in Patients with Coronavirus Disease 2019 Pneumonia in Wuhan, China. JAMA Intern. Med. 2020, 180, 934–943. [Google Scholar] [CrossRef] [Green Version]
  41. Hamming, I.; Timens, W.; Bulthuis, M.L.C.; Lely, A.T.; Navis, G.J.; van Goor, H. Tissue distribution of ACE2 protein, the functional receptor for SARS coronavirus. A first step in understanding SARS pathogenesis. J. Pathol. 2004, 203, 631–637. [Google Scholar] [CrossRef] [PubMed]
  42. Lambadiari, V.; Kousathana, F.; Raptis, A.; Katogiannis, K.; Kokkinos, A.; Ikonomidis, I. Pre-Existing Cytokine and NLRP3 Inflammasome Activation and Increased Vascular Permeability in Diabetes: A Possible Fatal Link With Worst COVID-19 Infection Outcomes? Front. Immunol. 2020, 11, 557235. [Google Scholar] [CrossRef] [PubMed]
  43. Toki, S.; Goleniewska, K.; Reiss, S.; Zhang, J.; Bloodworth, M.H.; Stier, M.T.; Zhou, W.; Newcomb, D.C.; Ware, L.B.; Stanwood, G.D.; et al. Glucagon-like peptide 1 signaling inhibits allergen-induced lung IL-33 release and reduces group 2 innate lymphoid cell cytokine production in vivo. J. Allergy Clin. Immunol. 2018, 142, 1515–1528.e8. [Google Scholar] [CrossRef]
  44. Ikonomidis, I.; Pavlidis, G.; Lambadiari, V.; Kousathana, F.; Varoudi, M.; Spanoudi, F.; Maratou, E.; Parissis, J.; Triantafyllidi, H.; Dimitriadis, G.; et al. Early detection of left ventricular dysfunction in first-degree relatives of diabetic patients by myocardial deformation imaging: The role of endothelial glycocalyx damage. Int. J. Cardiol. 2017, 233, 105–112. [Google Scholar] [CrossRef]
  45. Lim, S.; Bae, J.H.; Kwon, H.S.; Nauck, M.A. COVID-19 and diabetes mellitus: From pathophysiology to clinical management. Nat. Rev. Endocrinol. 2021, 17, 11–30. [Google Scholar] [CrossRef] [PubMed]
  46. Lodigiani, C.; Iapichino, G.; Carenzo, L.; Cecconi, M.; Ferrazzi, P.; Sebastian, T.; Kucher, N.; Studt, J.D.; Sacco, C.; Bertuzzi, A. Venous and arterial thromboembolic complications in COVID-19 patients admitted to an academic hospital in Milan, Italy. Thromb. Res. 2020, 191, 9–14. [Google Scholar] [CrossRef]
  47. Mackman, N.; Antoniak, S.; Wolberg, A.S.; Kasthuri, R.; Key, N.S. Coagulation abnormalities and thrombosis in patients infected with SARS-CoV-2 and other pandemic viruses. Arterioscler. Thromb. Vasc. Biol. 2020, 40, 2033–2044. [Google Scholar] [CrossRef] [PubMed]
  48. Manolis, A.S.; Manolis, T.A.; Manolis, A.A.; Papatheou, D.; Melita, H. COVID-19 Infection: Viral Macro- and Micro-Vascular Coagulopathy and Thromboembolism/Prophylactic and Therapeutic Management. J. Cardiovasc. Pharmacol. Ther. 2020, 26, 12–24. [Google Scholar] [CrossRef]
  49. Violi, F.; Ceccarelli, G.; Cangemi, R.; Cipollone, F.; D’Ardes, D.; Oliva, A.; Pirro, M.; Rocco, M.; Alessandri, F.; D’Ettorre, G.; et al. Arterial and venous thrombosis in coronavirus 2019 disease (COVID-19): Relationship with mortality. Intern. Emerg. Med. 2021, 16, 1231–1237. [Google Scholar] [CrossRef]
  50. D’Ardes, D.; Rossi, I.; Bucciarelli, B.; Allegra, M.; Bianco, F.; Sinjari, B.; Marchioni, M.; Di Nicola, M.; Santilli, F.; Guagnano, M.T.; et al. Metabolic Changes in SARS-CoV-2 Infection: Clinical Data and Molecular Hypothesis to Explain Alterations of Lipid Profile and Thyroid Function Observed in COVID-19 Patients. Life 2021, 11, 860. [Google Scholar] [CrossRef]
  51. Wei, X.; Zeng, W.; Su, J.; Wan, H.; Yu, X.; Cao, X.; Tan, W.; Wang, H. Hypolipidemia is associated with the severity of COVID-19. J. Clin. Lipidol. 2020, 14, 297–304. [Google Scholar] [CrossRef] [PubMed]
  52. Fan, J.; Wang, H.; Ye, G.; Cao, X.; Xu, X.; Tan, W.; Zhang, Y. Low-density lipoprotein is a potential predictor of poor prognosis in patients with coronavirus disease 2019. Metabolism 2020, 107, 154243. [Google Scholar] [CrossRef]
  53. Khoo, B.; Tan, T.; Clarke, S.A.; Mills, E.G.; Patel, B.; Modi, M.; Phylactou, M.; Eng, P.C.; Thurston, L.; Alexander, E.C. Thyroid function before, during, and after COVID-19. J. Clin. Endocrinol. Metab. 2021, 106, e803–e811. [Google Scholar] [CrossRef] [PubMed]
  54. Sardu, C.; D’Onofrio, N.; Balestrieri, M.L.; Barbieri, M.; Rizzo, M.R.; Messina, V.; Maggi, P.; Coppola, N.; Paolisso, G.; Marfella, R. Outcomes in Patients With Hyperglycemia Affected by COVID-19: Can We Do More on Glycemic Control? Diabetes Care 2020, 43, 1408–1415. [Google Scholar] [CrossRef]
  55. Barron, E.; Bakhai, C.; Kar, P.; Weaver, A.; Bradley, D.; Ismail, H.; Knighton, P.; Holman, N.; Khunti, K.; Sattar, N.; et al. Associations of type 1 and type 2 diabetes with COVID-19-related mortality in England: A whole-population study. Lancet Diabetes Endocrinol. 2020, 8, 813–822. [Google Scholar] [CrossRef]
  56. McGurnaghan, S.J.; Weir, A.; Bishop, J.; Kennedy, S.; Blackbourn, L.A.K.; McAllister, D.A.; Hutchinson, S.; Caparrotta, T.M.; Mellor, J.; Jeyam, A.; et al. Risks of and risk factors for COVID-19 disease in people with diabetes: A cohort study of the total population of Scotland. Lancet Diabetes Endocrinol. 2021, 9, 82–93. [Google Scholar] [CrossRef]
  57. Gregory, J.M.; Slaughter, J.C.; Duffus, S.H.; Smith, T.J.; LeStourgeon, L.M.; Jaser, S.S.; McCoy, A.B.; Luther, J.M.; Giovannetti, E.R.; Boeder, S.; et al. COVID-19 Severity Is Tripled in the Diabetes Community: A Prospective Analysis of the Pandemic’s Impact in Type 1 and Type 2 Diabetes. Diabetes Care 2021, 44, 526–532. [Google Scholar] [CrossRef] [PubMed]
  58. Xiang, F.; Long, B.; He, J.; Cheng, F.; Zhang, S.; Liu, Q.; Chen, Z.; Li, H.; Chen, M.; Peng, M.; et al. Impaired antibody responses were observed in patients with Type 2 diabetes mellitus after receiving the inactivated COVID-19 vaccines. Virol. J. 2023, 20, 22. [Google Scholar] [CrossRef]
  59. Paar, M.; Aziz, F.; Sourij, C.; Tripolt, N.J.; Kojzar, H.; Müller, A.; Pferschy, P.; Obermayer, A.; Banfic, T.; Di Geronimo Quintero, B.; et al. Only Subclinical Alterations in the Haemostatic System of People with Diabetes after COVID-19 Vaccination. Viruses 2022, 15, 10. [Google Scholar] [CrossRef]
  60. Bubenek-Turconi, Ş.I.; Andrei, S.; Văleanu, L.; Ştefan, M.G.; Grigoraş, I.; Copotoiu, S.; Bodolea, C.; Tomescu, D.; Popescu, M.; Filipescu, D.; et al. Clinical characteristics and factors associated with ICU mortality during the first year of the SARS-Cov-2 pandemic in Romania: A prospective, cohort, multicentre study of 9000 patients. Eur. J. Anaesthesiol. 2023, 40, 4–12. [Google Scholar] [CrossRef]
  61. Vardavas, C.I.; Mathioudakis, A.G.; Nikitara, K.; Stamatelopoulos, K.; Georgiopoulos, G.; Phalkey, R.; Leonardi-Bee, J.; Fernandez, E.; Carnicer-Pont, D.; Vestbo, J.; et al. Prognostic factors for mortality, intensive care unit and hospital admission due to SARS-CoV-2: A systematic review and metaanalysis of cohort studies in Europe. Eur. Respir. Rev. 2022, 31, 220098. [Google Scholar] [CrossRef]
  62. Sathish, T.; Kapoor, N.; Cao, Y.; Tapp, R.J.; Zimmet, P. Proportion of newly diagnosed diabetes in COVID-19 patients: A systematic review and meta-analysis. Diabetes Obes. Metab. 2021, 23, 870–874. [Google Scholar] [CrossRef]
  63. Sathish, T.; Chandrika Anton, M. Newly diagnosed diabetes in patients with mild to moderate COVID-19. Diabetes Metab. Syndr. Clin. Res. Rev. 2021, 15, 569–571. [Google Scholar] [CrossRef]
  64. Boddu, S.K.; Aurangabadkar, G.; Kuchay, M.S. New onset diabetes, Type 1 diabetes and COVID-19. Diabetes Metab. Syndr. 2020, 14, 2211–2217. [Google Scholar] [CrossRef]
  65. Unsworth, R.; Wallace, S.; Oliver, N.S.; Yeung, S.; Kshirsagar, A.; Naidu, H.; Kwong, R.M.W.; Kumar, P.; Logan, K.M. New-onset type 1 diabetes in children during COVID-19: Multicenter regional findings in the U.K. Diabetes Care 2020, 43, e170–e171. [Google Scholar] [CrossRef]
  66. Kamrath, C.; Mönkemöller, K.; Biester, T.; Rohrer, T.R.; Warncke, K.; Hammersen, J.; Holl, R.W. Ketoacidosis in Children and Adolescents With Newly Diagnosed Type 1 Diabetes During the COVID-19 Pandemic in Germany. JAMA 2020, 324, 801–804. [Google Scholar] [CrossRef] [PubMed]
  67. Cheong, C.W.; Chen, C.L.; Li, C.H.; Seak, C.J.; Tseng, H.J.; Hsu, K.H.; Ng, C.J.; Chien, C.Y. Two-stage prediction model for in-hospital mortality of patients with influenza infection. BMC Infect. Dis. 2021, 21, 451. [Google Scholar] [CrossRef] [PubMed]
  68. Andrade, F.B.; Gualberto, A.; Rezende, C.; Percegoni, N.; Gameiro, J.; Hottz, E.D. The Weight of Obesity in Immunity from Influenza to COVID-19. Front. Cell. Infect. Microbiol. 2021, 11, 638852. [Google Scholar] [CrossRef]
  69. Shill, M.C.; Mohsin, M.N.A.B.; Showdagor, U.; Hasan, S.N.; Zahid, M.Z.I.; Khan, S.I.; Hossain, M.; Rahman, G.M.S.; Reza, H.M. Microbial sensitivity of the common pathogens for UTIs are declining in diabetic patients compared to non-diabetic patients in Bangladesh: An institution-based retrospective study. Heliyon 2023, 9, e12897. [Google Scholar] [CrossRef]
  70. Wong, J.W.H.; Xu, R.H.; Ramm, O.; Tucker, L.Y.; Zaritsky, E.F. Urinary Tract Infections Among Gender Diverse People Assigned Female at Birth on Testosterone. Urogynecology 2023, 29, 295–301. [Google Scholar] [CrossRef] [PubMed]
  71. Morbach, S.; Eckhard, M.; Lobmann, R.; Müller, E.; Reike, H.; Risse, A.; Rümenapf, G.; Spraul, M. Diabetic Foot Syndrome. Exp. Clin. Endocrinol. Diabetes 2023, 131, 84–93. [Google Scholar] [CrossRef]
  72. Wu, H.; Lau, E.S.; Yang, A.; Zhang, X.; Fan, B.; Ma, R.C.; Kong, A.P.; Chow, E.; So, W.Y.; Chan, J.C.; et al. Age-specific population attributable risk factors for all-cause and cause-specific mortality in Type 2 diabetes: An analysis of a 6-year prospective cohort study of over 360,000 people in Hong Kong. PLoS Med. 2023, 20, e1004173. [Google Scholar] [CrossRef] [PubMed]
  73. Beumer, M.C.; Koch, R.M.; van Beuningen, D.; OudeLashof, A.M.; van de Veerdonk, F.L.; Kolwijck, E.; van der Hoeven, J.G.; Bergmans, D.C.; Hoedemaekers, C.W.E. Influenza virus and factors that are associated with ICU admission, pulmonary co-infections and ICU mortality. J. Crit. Care 2019, 50, 59–65. [Google Scholar] [CrossRef]
  74. Metwally, A.A.; Mehta, P.; Johnson, B.S.; Nagarjuna, A.; Snyder, M.P. COVID-19–Induced New-Onset Diabetes: Trends and Technologies. Diabetes 2021, 70, 2733–2744. [Google Scholar] [CrossRef]
  75. Montefusco, L.; Ben Nasr, M.; D’Addio, F.; Loretelli, C.; Rossi, A.; Pastore, I.; Daniele, G.; Abdelsalam, A.; Maestroni, A.; Dell’Acqua, M.; et al. Acute and long-term disruption of glycometabolic control after SARS-CoV-2 infection. Nat. Metab. 2021, 3, 774–785. [Google Scholar] [CrossRef]
  76. Ghosh, A.; Anjana, R.M.; Shanthi Rani, C.S.; Jeba Rani, S.; Gupta, R.; Jha, A.; Gupta, V.; Kuchay, M.S.; Luthra, A.; Durrani, S.; et al. Glycemic parameters in patients with new-onset diabetes during COVID-19 pandemic are more severe than in patients with new-onset diabetes before the pandemic: NOD COVID India Study. Diabetes Metab. Syndr. 2021, 15, 215–220. [Google Scholar] [CrossRef]
  77. Tittel, S.R.; Rosenbauer, J.; Kamrath, C.; Ziegler, J.; Reschke, F.; Hammersen, J.; Mönkemöller, K.; Pappa, A.; Kapellen, T.; Holl, R.W. Did the COVID-19 lockdown affect the incidence of pediatric type 1 diabetes in Germany? Diabetes Care 2020, 43, e172–e173. [Google Scholar] [CrossRef] [PubMed]
  78. Salmi, H.; Heinonen, S.; Hästbacka, J.; Lääperi, M.; Rautiainen, P.; Miettinen, P.J.; Vapalahti, O.; Hepojoki, J.; Knip, M. New-onset type 1 diabetes in Finnish children during the COVID-19 pandemic. Arch. Dis. Child. 2022, 107, 180–185. [Google Scholar] [CrossRef]
  79. Shrestha, D.B.; Budhathoki, P.; Raut, S.; Adhikari, S.; Ghimire, P.; Thapaliya, S.; Rabaan, A.A.; Karki, B.J. New-onset diabetes in COVID-19 and clinical outcomes: A systematic review and meta-analysis. World J. Virol. 2021, 10, 275–287. [Google Scholar] [CrossRef] [PubMed]
  80. Wu, R.; Mumtaz, M.; Maxwell, A.J.; Isaacs, S.R.; Laiho, J.E.; Rawlinson, W.D.; Hyöty, H.; Craig, M.E.; Kim, K.W. Respiratory infections and Type 1 diabetes: Potential roles in pathogenesis. Rev. Med. Virol. 2023, 33, e2429. [Google Scholar] [CrossRef]
  81. Omotosho, Y.B.; Ying, G.W.; Stolar, M.; Mallari, A.J.P. COVID-19-Induced Diabetic Ketoacidosis in an Adult with Latent Autoimmune Diabetes. Cureus 2021, 13, e12690. [Google Scholar] [CrossRef]
  82. Marchand, L.; Pecquet, M.; Luyton, C. Type 1 diabetes onset triggered by COVID-19. Acta Diabetol. 2020, 57, 1265–1266. [Google Scholar] [CrossRef] [PubMed]
  83. Ssentongo, P.; Zhang, Y.; Witmer, L.; Chinchilli, V.M.; Ba, D.M. Association of COVID-19 with diabetes: A systematic review and meta-analysis. Sci. Rep. 2022, 12, 20191. [Google Scholar] [CrossRef] [PubMed]
  84. Li, J.; Wang, X.; Chen, J.; Zuo, X.; Zhang, H.; Deng, A. COVID-19 infection may cause ketosis and ketoacidosis. Diabetes Obes. Metab. 2020, 22, 1935–1941. [Google Scholar] [CrossRef] [PubMed]
  85. Gentile, S.; Strollo, F.; Mambro, A.; Ceriello, A. COVID-19, ketoacidosis and new-onset diabetes: Are there possible cause and effect relationships among them? Diabetes Obes. Metab. 2020, 22, 2507–2508. [Google Scholar] [CrossRef]
  86. Rivero-Martín, M.J.; Rivas-Mercado, C.M.; Ceñal-González-Fierro, M.J.; López-Barrena, N.; Lara-Orejas, E.; Alonso-Martín, D.; Alfaro-Iznaola, C.; Alcázar-Villar, M.J.; Sánchez-Escudero, V.; González-Vergaz, A. Severity of new-onset type 1 diabetes in children and adolescents during the coronavirus-19 disease pandemic. Endocrinol. Diabetes y Nutr. 2022, 69, 810–815. [Google Scholar] [CrossRef]
  87. Sathish, T.; Tapp, R.J.; Cooper, M.E.; Zimmet, P. Potential metabolic and inflammatory pathways between COVID-19 and new-onset diabetes. Diabetes Metab. 2021, 47, 101204. [Google Scholar] [CrossRef]
  88. Alomar, F.A. Methylglyoxal in COVID-19-induced hyperglycemia and new-onset diabetes. Eur. Rev. Med. Pharmacol. Sci. 2022, 26, 8152–8171. [Google Scholar] [CrossRef]
  89. Nunez Lopez, Y.O.; Iliuk, A.; Casu, A.; Parikh, A.; Smith, J.S.; Corbin, K.; Lupu, D.; Pratley, R.E. Extracellular vesicle proteomics and phosphoproteomics identify pathways for increased risk in patients hospitalized with COVID-19 and type 2 diabetes mellitus. Diabetes Res. Clin. Pract. 2023, 197, 110565. [Google Scholar] [CrossRef]
  90. Stidsen, J.V.; Green, A.; Rosengaard, L.; Højlund, K. Risk of severe COVID-19 infection in persons with diabetes during the first and second waves in Denmark: A nationwide cohort study. Front. Endocrinol. 2022, 13, 1025699. [Google Scholar] [CrossRef]
  91. Loza, A.; Wong-Chew, R.M.; Jiménez-Corona, M.E.; Zárate, S.; López, S.; Ciria, R.; Palomares, D.; García-López, R.; Iša, P.; Taboada, B.; et al. Two-year follow-up of the COVID-19 pandemic in Mexico. Front. Public Health 2023, 10, 1050673. [Google Scholar] [CrossRef]
  92. Uchihara, M.; Sugiyama, T.; Bouchi, R.; Matsunaga, N.; Asai, Y.; Gatanaga, H.; Ohsugi, M.; Ohmagari, N.; Kajio, H.; Ueki, K. Association of acute-to-chronic glycemic ratio and outcomes in patients with COVID-19 and undiagnosed diabetes mellitus: A retrospective nationwide cohort study. J. Diabetes Investig. 2023, 14, 623–629. [Google Scholar] [CrossRef] [PubMed]
  93. Uchihara, M.; Bouchi, R.; Kodani, N.; Saito, S.; Miyazato, Y.; Umamoto, K.; Sugimoto, H.; Kobayashi, M.; Hikida, S.; Akiyama, Y.; et al. Impact of newly diagnosed diabetes on coronavirus disease 2019 severity and hyperglycemia. J. Diabetes Investig. 2022, 13, 1086–1093. [Google Scholar] [CrossRef] [PubMed]
  94. Vargas-Vázquez, A.; Bello-Chavolla, O.Y.; Ortiz-Brizuela, E.; Campos-Muñoz, A.; Mehta, R.; Villanueva-Reza, M.; Bahena-López, J.P.; Antonio-Villa, N.E.; González-Lara, M.F.; Ponce De León, A.; et al. Impact of undiagnosed Type 2 diabetes and pre-diabetes on severity and mortality for SARS-CoV-2 infection. BMJ Open Diabetes Res. Care 2021, 9, e002026. [Google Scholar] [CrossRef]
  95. Miller, L.E.; Bhattacharyya, R.; Miller, A.L. Diabetes mellitus increases the risk of hospital mortality in patients with COVID-19: Systematic review with meta-analysis. Medicine 2020, 99, e22439. [Google Scholar] [CrossRef]
  96. Sindi, A.A.; Tashkandi, W.A.; Jastaniah, M.W.; Bashanfar, M.A.; Fakhri, A.F.; Alsallum, F.S.; Alguydi, H.B.; Elhazmi, A.; Al-Khatib, T.A.; Alawi, M.M.; et al. Impact of diabetes mellitus and co-morbidities on mortality in patients with COVID-19: A single-center retrospective study. Saudi Med. J. 2023, 44, 67–73. [Google Scholar] [CrossRef]
  97. Zhang, T.; Mei, Q.; Zhang, Z.; Walline, J.H.; Liu, Y.; Zhu, H.; Zhang, S. Risk for newly diagnosed diabetes after COVID-19: A systematic review and meta-analysis. BMC Med. 2022, 20, 444. [Google Scholar] [CrossRef] [PubMed]
  98. Reynolds, R.M.; Labad, J.; Sears, A.V.; Williamson, R.M.; Strachan, M.W.J.; Deary, I.J.; Lowe, G.D.O.; Price, J.F.; Walker, B.R. Glucocorticoid treatment and impaired mood, memory and metabolism in people with diabetes: The Edinburgh Type 2 Diabetes Study. Eur. J. Endocrinol. 2012, 166, 861–868. [Google Scholar] [CrossRef] [Green Version]
  99. Kim, Y.; Park, S.; Oh, K.; Choi, H.; Jeong, E.K. Changes in the management of hypertension, diabetes mellitus, and hypercholesterolemia in Korean adults before and during the COVID-19 pandemic: Data from the 2010–2020 Korea National Health and Nutrition Examination Survey. Epidemiol. Health 2023, 45, e2023014. [Google Scholar] [CrossRef]
  100. Carr, M.J.; Wright, A.K.; Leelarathna, L.; Thabit, H.; Milne, N.; Kanumilli, N.; Ashcroft, D.M.; Rutter, M.K. Impact of COVID-19 on diagnoses, monitoring, and mortality in people with type 2 diabetes in the UK. Lancet Diabetes Endocrinol. 2021, 9, 413–415. [Google Scholar] [CrossRef]
  101. Carr, M.J.; Wright, A.K.; Leelarathna, L.; Thabit, H.; Milne, N.; Kanumilli, N.; Ashcroft, D.M.; Rutter, M.K. Impact of COVID-19 restrictions on diabetes health checks and prescribing for people with type 2 diabetes: A UK-wide cohort study involving 618 161 people in primary care. BMJ Qual. Saf. 2022, 31, 503–514. [Google Scholar] [CrossRef] [PubMed]
  102. Capra, M.E.; Stanyevic, B.; Giudice, A.; Monopoli, D.; Decarolis, N.M.; Esposito, S.; Biasucci, G. The Effects of COVID-19 Pandemic and Lockdown on Pediatric Nutritional and Metabolic Diseases: A Narrative Review. Nutrients 2022, 15, 88. [Google Scholar] [CrossRef]
  103. Quinn, L.M.; Wong, F.S.; Narendran, P. Environmental Determinants of Type 1 Diabetes: From Association to Proving Causality. Front. Immunol. 2021, 12, 737964. [Google Scholar] [CrossRef] [PubMed]
  104. Chee, Y.J.; Ng, S.J.H.; Yeoh, E. Diabetic ketoacidosis precipitated by COVID-19 in a patient with newly diagnosed diabetes mellitus. Diabetes Res. Clin. Pract. 2020, 164, 108166. [Google Scholar] [CrossRef] [PubMed]
  105. Taplin, C.; Barker, J. Autoantibodies in type 1 diabetes. Autoimmunity 2008, 41, 11–18. [Google Scholar] [CrossRef]
  106. Steenblock, C.; Hassanein, M.; Khan, E.G.; Yaman, M.; Kamel, M.; Barbir, M.; Lorke, D.E.; Rock, J.A.; Everett, D.; Bejtullah, S.; et al. Diabetes and COVID-19: Short- and Long-Term Consequences. Horm. Metab. Res. 2022, 54, 503–509. [Google Scholar] [CrossRef]
  107. Mamtani, M.; Athavale, A.; Abraham, M.; Vernik, J.; Amarah, A.; Ruiz, J.; Joshi, A.; Itteera, M.; Zhukovski, S.; Madaiah, R.; et al. Association of hyperglycaemia with hospital mortality in nondiabetic COVID-19 patients: A cohort study. Diabetes Metab. 2021, 47, 101254. [Google Scholar] [CrossRef]
  108. Chourasia, P.; Goyal, L.; Kansal, D.; Roy, S.; Singh, R.; Mahata, I.; Sheikh, A.B.; Shekhar, R. Risk of New-Onset Diabetes Mellitus as a Post-COVID-19 Condition and Possible Mechanisms: A Scoping Review. J. Clin. Med. 2023, 12, 1159. [Google Scholar] [CrossRef] [PubMed]
  109. Bally, K.; Ji, B.; Soni, L. COVID-19 Vaccine-Induced Latent Autoimmune Diabetes in Adults. Cureus 2023, 15, e33762. [Google Scholar] [CrossRef]
  110. Lin, R.; Lin, Y.W.; Chen, M.H. Fulminant Type 1 Diabetes Mellitus after SARS-CoV-2 Vaccination: A Case Report. Vaccines 2022, 10, 1905. [Google Scholar] [CrossRef]
  111. Kshetree, B.; Lee, J.; Acharya, S. COVID-19 Vaccine-Induced Rapid Progression of Prediabetes to Ketosis-Prone Diabetes Mellitus in an Elderly Male. Cureus 2022, 14, e28830. [Google Scholar] [CrossRef]
  112. Moon, H.; Suh, S.; Park, M.K. Adult-Onset Type 1 Diabetes Development Following COVID-19 mRNA Vaccination. J. Korean Med. Sci. 2023, 38, e12. [Google Scholar] [CrossRef]
  113. Abu-Rumaileh, M.A.; Gharaibeh, A.M.; Gharaibeh, N.E. COVID-19 Vaccine and Hyperosmolar Hyperglycemic State. Cureus 2021, 13, e14125. [Google Scholar] [CrossRef] [PubMed]
  114. Edwards, A.E.; Vathenen, R.; Henson, S.M.; Finer, S.; Gunganah, K. Acute hyperglycaemic crisis after vaccination against COVID-19: A case series. Diabet. Med. J. Br. Diabet. Assoc. 2021, 38, e14631. [Google Scholar] [CrossRef]
  115. Mishra, A.; Ghosh, A.; Dutta, K.; Tyagi, K.; Misra, A. Exacerbation of hyperglycemia in patients with type 2 diabetes after vaccination for COVID19: Report of three cases. Diabetes Metab. Syndr. Clin. Res. Rev. 2021, 15, 102151. [Google Scholar] [CrossRef] [PubMed]
  116. Wan, E.Y.F.; Chui, C.S.L.; Mok, A.H.Y.; Xu, W.; Yan, V.K.C.; Lai, F.T.T.; Li, X.; Wong, C.K.H.; Chan, E.W.Y.; Lui, D.T.W.; et al. mRNA (BNT162b2) and Inactivated (CoronaVac) COVID-19 Vaccination and Risk of Adverse Events and Acute Diabetic Complications in Patients with Type 2 Diabetes Mellitus: A Population-Based Study. Drug Saf. 2022, 45, 1477–1490. [Google Scholar] [CrossRef] [PubMed]
  117. Gouda, N.; Dimitriadou, M.; Sotiriou, G.; Christoforidis, A. The impact of COVID-19 vaccination on glycaemic control in children and adolescents with type 1 diabetes mellitus on continuous glucose monitoring. Acta Diabetol. 2022, 59, 1609–1614. [Google Scholar] [CrossRef]
  118. López-Contreras, J.E.; Paredes-Casillas, P.; Morales-Romero, J.; Castillo-Vélez, F.E.; Lona-Reyes, J.C.; Bedolla-Barajas, M. Incidence and factors associated with early and late adverse reactions after the first dose of Pfizer-BioNTech vaccine among healthcare workers. Cir. Cir. 2023, 91, 34–41. [Google Scholar] [CrossRef] [PubMed]
  119. Mallhi, T.H.; Khan, Y.H.; Butt, M.H.; Salman, M.; Tanveer, N.; Alotaibi, N.H.; Alzarea, A.I.; Alanazi, A.S. Surveillance of Side Effects after Two Doses of COVID-19 Vaccines among Patients with Comorbid Conditions: A Sub-Cohort Analysis from Saudi Arabia. Medicina 2022, 58, 1799. [Google Scholar] [CrossRef]
  120. Heald, A.H.; Jenkins, D.A.; Williams, R.; Mudaliar, R.N.; Naseem, A.; Davies, K.A.B.; Gibson, J.M.; Peng, Y.; Ollier, W. COVID-19 Vaccination and Diabetes Mellitus: How Much Has It Made a Difference to Outcomes Following Confirmed COVID-19 Infection? Diabetes Ther. Res. Treat. Educ. Diabetes Relat. Disord. 2023, 14, 193–204. [Google Scholar] [CrossRef]
  121. Kwan, A.C.; Ebinger, J.E.; Botting, P.; Navarrette, J.; Claggett, B.; Cheng, S. Association of COVID-19 Vaccination With Risk for Incident Diabetes After COVID-19 Infection. JAMA Netw. Open 2023, 6, e2255965. [Google Scholar] [CrossRef] [PubMed]
  122. Cheng, Y.; Shen, P.; Tao, Y.; Zhang, W.; Xu, B.; Bi, Y.; Han, Z.; Zhou, Y.H. Reduced antibody response to COVID-19 vaccine composed of inactivated SARS-CoV-2 in diabetic individuals. Front. Public Health 2022, 10, 1025901. [Google Scholar] [CrossRef] [PubMed]
  123. Virgilio, E.; Trevisan, C.; Abbatecola, A.; Malara, A.; Palmieri, A.; Fedele, G.; Stefanelli, P.; Leone, P.; Schiavoni, I.; Maggi, S.; et al. Diabetes Affects Antibody Response to SARS-CoV-2 Vaccination in Older Residents of Long-term Care Facilities: Data From the GeroCovid Vax Study. Diabetes Care 2022, 45, 2935–2942. [Google Scholar] [CrossRef]
  124. van den Berg, J.M.; Remmelzwaal, S.; Blom, M.T.; van Hoek, B.A.C.E.; Swart, K.M.A.; Overbeek, J.A.; Burchell, G.L.; Herings, R.M.C.; Elders, P.J.M. Effectiveness of COVID-19 Vaccines in Adults with Diabetes Mellitus: A Systematic Review. Vaccines 2022, 11, 24. [Google Scholar] [CrossRef]
  125. D’Onofrio, L.; Fogolari, M.; Amendolara, R.; Siena, A.; De Fata, R.; Davini, F.; Coraggio, L.; Mignogna, C.; Moretti, C.; Maddaloni, E.; et al. Reduced early response to SARS-CoV2 vaccination in people with type 1 and type 2 diabetes, a 6 months follow-up study: The CoVaDiab study I. Diabetes/Metabolism Res. Rev. 2023, 39, e3601. [Google Scholar] [CrossRef]
  126. Steenblock, C.; Richter, S.; Berger, I.; Barovic, M.; Schmid, J.; Schubert, U.; Jarzebska, N.; von Mässenhausen, A.; Linkermann, A.; Schürmann, A.; et al. Viral infiltration of pancreatic islets in patients with COVID-19. Nat. Commun. 2021, 12, 3534. [Google Scholar] [CrossRef] [PubMed]
  127. Reiterer, M.; Rajan, M.; Gómez-Banoy, N.; Lau, J.D.; Gomez-Escobar, L.G.; Ma, L.; Gilani, A.; Alvarez-Mulett, S.; Sholle, E.T.; Chandar, V.; et al. Hyperglycemia in acute COVID-19 is characterized by insulin resistance and adipose tissue infectivity by SARS-CoV-2. Cell Metab. 2021, 33, 2174–2188.e5. [Google Scholar] [CrossRef]
  128. Ali Abdelhamid, Y.; Kar, P.; Finnis, M.E.; Phillips, L.K.; Plummer, M.P.; Shaw, J.E.; Horowitz, M.; Deane, A.M. Stress hyperglycaemia in critically ill patients and the subsequent risk of diabetes: A systematic review and meta-analysis. Crit. Care 2016, 20, 301. [Google Scholar] [CrossRef] [Green Version]
  129. Hoffmann, M.; Kleine-Weber, H.; Schroeder, S.; Krüger, N.; Herrler, T.; Erichsen, S.; Schiergens, T.S.; Herrler, G.; Wu, N.H.; Nitsche, A.; et al. SARS-CoV-2 Cell Entry Depends on ACE2 and TMPRSS2 and Is Blocked by a Clinically Proven Protease Inhibitor. Cell 2020, 181, 271–280.e8. [Google Scholar] [CrossRef]
  130. Tang, X.; Uhl, S.; Zhang, T.; Xue, D.; Li, B.; Vandana, J.J.; Acklin, J.A.; Bonnycastle, L.L.; Narisu, N.; Erdos, M.R.; et al. SARS-CoV-2 infection induces beta cell transdifferentiation. Cell Metab. 2021, 33, 1577–1591.e7. [Google Scholar] [CrossRef]
  131. Müller, J.A.; Groß, R.; Conzelmann, C.; Krüger, J.; Merle, U.; Steinhart, J.; Weil, T.; Koepke, L.; Bozzo, C.P.; Read, C.; et al. SARS-CoV-2 infects and replicates in cells of the human endocrine and exocrine pancreas. Nat. Metab. 2021, 3, 149–165. [Google Scholar] [CrossRef] [PubMed]
  132. Ahlqvist, E.; Storm, P.; Käräjämäki, A.; Martinell, M.; Dorkhan, M.; Carlsson, A.; Vikman, P.; Prasad, R.B.; Aly, D.M.; Almgren, P.; et al. Novel subgroups of adult-onset diabetes and their association with outcomes: A data-driven cluster analysis of six variables. Lancet Diabetes Endocrinol. 2018, 6, 361–369. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  133. Holshue, M.L.; DeBolt, C.; Lindquist, S.; Lofy, K.H.; Wiesman, J.; Bruce, H.; Spitters, C.; Ericson, K.; Wilkerson, S.; Tural, A.; et al. First Case of 2019 Novel Coronavirus in the United States. N. Engl. J. Med. 2020, 382, 929–936. [Google Scholar] [CrossRef]
  134. Caruso, P.; Longo, M.; Esposito, K.; Maiorino, M.I. Type 1 diabetes triggered by covid-19 pandemic: A potential outbreak? Diabetes Res. Clin. Pract. 2020, 164, 108219. [Google Scholar] [CrossRef]
  135. Christen, U.; Edelmann, K.H.; McGavern, D.B.; Wolfe, T.; Coon, B.; Teague, M.K.; Miller, S.D.; Oldstone, M.B.; Von Herrath, M.G. A viral epitope that mimics a self antigen can accelerate but not initiate autoimmune diabetes. J. Clin. Investig. 2004, 114, 1290–1298. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  136. Dotan, A.; Muller, S.; Kanduc, D.; David, P.; Halpert, G.; Shoenfeld, Y. The SARS-CoV-2 as an instrumental trigger of autoimmunity. Autoimmun. Rev. 2021, 20, 102792. [Google Scholar] [CrossRef]
  137. Santos, A.; Magro, D.O.; Evangelista-Poderoso, R.; Saad, M.J.A. Diabetes, obesity, and insulin resistance in COVID-19: Molecular interrelationship and therapeutic implications. Diabetol. Metab. Syndr. 2021, 13, 23. [Google Scholar] [CrossRef]
  138. Montezano, A.C.; Nguyen Dinh Cat, A.; Rios, F.J.; Touyz, R.M. Angiotensin II and Vascular Injury. Curr. Hypertens. Rep. 2014, 16, 431. [Google Scholar] [CrossRef]
  139. Govender, N.; Khaliq, O.P.; Moodley, J.; Naicker, T. Insulin resistance in COVID-19 and diabetes. Prim. Care Diabetes 2021, 15, 629–634. [Google Scholar] [CrossRef]
  140. He, X.; Liu, C.; Peng, J.; Li, Z.; Li, F.; Wang, J.; Hu, A.; Peng, M.; Huang, K.; Fan, D.; et al. COVID-19 induces new-onset insulin resistance and lipid metabolic dysregulation via regulation of secreted metabolic factors. Signal Transduct. Target. Ther. 2021, 6, 427. [Google Scholar] [CrossRef]
  141. Cron, R.Q.; Caricchio, R.; Chatham, W.W. Calming the cytokine storm in COVID-19. Nat. Med. 2021, 27, 1674–1675. [Google Scholar] [CrossRef]
  142. Hirano, T.; Murakami, M. COVID-19: A New Virus, but a Familiar Receptor and Cytokine Release Syndrome. Immunity 2020, 52, 731–733. [Google Scholar] [CrossRef] [PubMed]
  143. Šestan, M.; Marinović, S.; Kavazović, I.; Cekinović, Đ.; Wueest, S.; Turk Wensveen, T.; Brizić, I.; Jonjić, S.; Konrad, D.; Wensveen, F.M.; et al. Virus-Induced Interferon-γ Causes Insulin Resistance in Skeletal Muscle and Derails Glycemic Control in Obesity. Immunity 2018, 49, 164–177.e6. [Google Scholar] [CrossRef] [Green Version]
  144. Calcaterra, V.; Bosoni, P.; Dilillo, D.; Mannarino, S.; Fiori, L.; Fabiano, V.; Carlucci, P.; Di Profio, E.; Verduci, E.; Mameli, C.; et al. Impaired Glucose-Insulin Metabolism in Multisystem Inflammatory Syndrome Related to SARS-CoV-2 in Children. Children 2021, 8, 384. [Google Scholar] [CrossRef] [PubMed]
  145. Ilias, I.; Diamantopoulos, A.; Pratikaki, M.; Botoula, E.; Jahaj, E.; Athanasiou, N.; Tsipilis, S.; Zacharis, A.; Vassiliou, A.G.; Vassiliadi, D.A.; et al. Glycemia, Beta-Cell Function and Sensitivity to Insulin in Mildly to Critically Ill COVID-19 Patients. Medicina 2021, 57, 68. [Google Scholar] [CrossRef] [PubMed]
Figure 1. Potential pathophysiological mechanisms of COVID-19-induced diabetes.
Figure 1. Potential pathophysiological mechanisms of COVID-19-induced diabetes.
Ijms 24 11576 g001
Table 1. Studies that have described new-onset diabetes in COVID-19 patients.
Table 1. Studies that have described new-onset diabetes in COVID-19 patients.
AuthorsType of StudyCountryNumber of CasesResults
Sathish et al. [62]Meta-analysisChina, Italy, US3711 patients14.4% of the population had new-onset diabetes
Sathish et al. [63]Retrospective studyIndia102 patients20.6% of the population had new-onset diabetes
Li et al. [11]Retrospective studyChina453 patients20.8% of the population had new-onset diabetes
Unsworth et al. [65]Retrospective studyUK30 children80% increase in new-onset T1DM
Tittel et al. [77]Prospective studyGermanyChildren from 216 paediatric diabetes centresT1DM incidence increased from 16.4 per 100,000 to 22.2 per 100,000
Salmi et al. [78]Retrospective studyFinlandChildren admitted to PICU due to new-onset diabetes compared with the pre-pandemic periodThe number of children admitted to PICU due to new-onset diabetes increased from 6.25 in 2016 to 20 in 2020.
Montefusco et al. [75]Retrospective studyItaly551 patients46% were hyperglycaemic
Kamrath et al. [66]Prospective studyGermany532 newly diagnosed T1DMThe frequency of diabetic ketoacidosis was 44.7%
Fadini et al. [13]Retrospective studyItaly413 patients5% had new-onset diabetes
Ghosh et al. [76]Retrospective studyIndia555 patients with new-onset diabetesPatients with new-onset diabetes had worse glycaemic parameters
Shrestha et al. [79]Meta-analysisUS, China, France, India, Italy1943 patients across seven studiesThe mortality rate in COVID-19-associated diabetes patients was 25%
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Grubišić, B.; Švitek, L.; Ormanac, K.; Sabo, D.; Mihaljević, I.; Bilić-Ćurčić, I.; Omanović Kolarić, T. Molecular Mechanisms Responsible for Diabetogenic Effects of COVID-19 Infection—Induction of Autoimmune Dysregulation and Metabolic Disturbances. Int. J. Mol. Sci. 2023, 24, 11576. https://doi.org/10.3390/ijms241411576

AMA Style

Grubišić B, Švitek L, Ormanac K, Sabo D, Mihaljević I, Bilić-Ćurčić I, Omanović Kolarić T. Molecular Mechanisms Responsible for Diabetogenic Effects of COVID-19 Infection—Induction of Autoimmune Dysregulation and Metabolic Disturbances. International Journal of Molecular Sciences. 2023; 24(14):11576. https://doi.org/10.3390/ijms241411576

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Grubišić, Barbara, Luka Švitek, Klara Ormanac, Dea Sabo, Ivica Mihaljević, Ines Bilić-Ćurčić, and Tea Omanović Kolarić. 2023. "Molecular Mechanisms Responsible for Diabetogenic Effects of COVID-19 Infection—Induction of Autoimmune Dysregulation and Metabolic Disturbances" International Journal of Molecular Sciences 24, no. 14: 11576. https://doi.org/10.3390/ijms241411576

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