SARS-CoV-2 infection induces beta cell transdifferentiation

Recent advances in nutritional metabolism studies on SARS-CoV-2 infection

In the context of the coronavirus disease 2019 (COVID-19) pandemic caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), metabolic research has become crucial for in-depth exploration of viral infection mechanisms and in searching for therapeutic strategies. This paper summarizes the interrelationships between carbohydrate, lipid, and amino acid metabolism and COVID-19 infection, discussing their roles in infection progression. SARS-CoV-2 infection leads to insulin resistance and increased glycolysis, reducing glucose utilization and shifting metabolism to use fat as an energy source. Fat is crucial for viral replication, and imbalances in amino acid metabolism may interfere with immune regulation. Consequently, metabolic changes such as hyperglycemia, hypolipidemia, and deficiency of certain amino acids following SARS-CoV-2 infection can contribute to progression toward severe conditions. These metabolic pathways not only have potential value in prediction and diagnosis but also provide new perspectives for the development of therapeutic strategies. By monitoring metabolic changes, infection severity can be predicted early, and modulating these metabolic pathways may help reduce inflammatory responses, improve immune responses, and reduce the risk of thrombosis. Research on the relationship between metabolism and SARS-CoV-2 infection provides an important scientific basis for addressing the global challenge posed by COVID-19, however, further studies are needed to validate these findings and provide more effective strategies for disease control.

Maximum insulin dose in patients admitted to the intensive care units with severe COVID-19 in the "Cross ICU Searchable Information System" study: A multicenter retrospective cohort study

AIMS

This study aimed to determine the maximum daily insulin dose (MDI) and associated factors in critically ill patients with coronavirus disease 2019 (COVID-19) receiving insulin therapy, under ventilator and/or extracorporeal membrane oxygenation (ECMO) management.

MATERIALS AND METHODS

This cross-sectional analysis used the Cross ICU Searchable Information System data from a Japanese multicenter retrospective observational cohort study of critically ill patients with COVID-19 receiving ventilation and/or ECMO, from February 2020 to March 2022. Maximum daily insulin dose was determined, and factors associated with it and maximum daily insulin dose per body weight were assessed using linear regression analysis.

RESULTS

The analysis included 788 patients. Their mean age, glycated hemoglobin level, maximum daily insulin dose, and time from admission to the maximum daily insulin dose were 65.2 ± 13.0 years, 7.0 ± 1.5% (53.0 ± 7.1 mmol/mol), 46.0 ± 43.6 U/day, and 7.3 ± 7.0 days, respectively. Male sex (β = 6.902, P = 0.034), body mass index (β = 1.020, P = 0.001), glycated hemoglobin (β = 12.272, P < 0.001), and having renal failure (β = 20.637, P = 0.003) were independent determinants of maximum daily insulin dose. Age (β = 0.004, P = 0.035), glycated hemoglobin (β = 0.154, P < 0.001), and having renal failure (β = 0.282, P = 0.004) were independent determinants of maximum daily insulin dose per body weight.

CONCLUSIONS

In patients with COVID-19 on ventilator and/or ECMO management, the maximum daily insulin dose reached after about 1 week of hospitalization was approximately 46.0 U/day. Glycated hemoglobin and renal failure were both associated with the maximum daily insulin dose and maximum daily insulin dose per body weight.

SARS-CoV-2 Spike S1 Subunit Triggers Pericyte and Microvascular Dysfunction in Human Pancreatic Islets

The COVID-19 pandemic has profoundly affected human health; however, the mechanisms underlying its impact on metabolic and vascular systems remain incompletely understood. Clinical evidence suggests that SARS-CoV-2 directly disrupts vascular homeostasis, with perfusion abnormalities observed in various tissues. The pancreatic islet, a key endocrine miniorgan reliant on its microvasculature for optimal function, may be particularly vulnerable. Studies have proposed a link between SARS-CoV-2 infection and islet dysfunction, but the mechanisms remain unclear. Here, we investigated how SARS-CoV-2 spike S1 protein affects human islet microvascular function. Using confocal microscopy and living pancreas slices from organ donors without diabetes, we show that a SARS-CoV-2 spike S1 recombinant protein activates pericytes, key regulators of islet capillary diameter and β-cell function, and induces capillary constriction. These effects are driven by a loss of ACE2 from pericytes' plasma membrane, impairing ACE2 activity and increasing local angiotensin II levels. Our findings highlight islet pericyte dysfunction as a potential contributor to the diabetogenic effects of SARS-CoV-2 and offer new insights into the mechanisms linking COVID-19, vascular dysfunction, and diabetes.

ARTICLE HIGHLIGHTS

Different components of the renin-angiotensin system are expressed by vascular cells in human pancreatic islets. The islet microvasculature is responsive to vasoactive angiotensin peptides. This pancreatic renin-angiotensin system is targeted upon incubation with a SARS-CoV-2 spike recombinant protein. SARS-CoV-2 spike activates pericytes and constricts capillaries in human islets. Islet vascular dysfunction could contribute to dysglycemia in some patients with COVID-19.

Impact of COVID-19 on metabolic parameters in patients with type 2 diabetes mellitus

BACKGROUND AND AIM

The Coronavirus Disease 2019 (COVID-19) pandemic has disproportionately affected individuals with Type 2 Diabetes Mellitus (T2DM), making them more susceptible to viral infections. Additionally, COVID-19 and the associated lockdown restrictions have influenced metabolic regulatory mechanisms in this population. This study aims to evaluate the impact of COVID-19 infection and lockdown measures on physiological parameters in individuals with T2DM.

METHODS

This retrospective cohort study included 118 individuals with a prior diagnosis of T2DM. Medical records were reviewed for laboratory tests conducted within three months before the onset of the COVID-19 pandemic in Iran. Fifty-nine patients with confirmed COVID-19 infection during the first three months of the pandemic underwent follow-up laboratory tests six months post-diagnosis. An age- and gender-matched group of 59 noninfected individuals underwent follow-up tests six months after the pandemic's onset. Clinical and laboratory parameters were analyzed and compared within each group.

RESULTS

In the COVID-19 positive group, significant reductions were observed in triglycerides (TG) (P = 0.001), total cholesterol (TC) (P = 0.028), body mass index (BMI) (P = 0.034), atherogenic index of plasma (AIP) (P = 0.027), triglyceride-glucose (TyG) index (P = 0.001), and triglyceride-glucose-BMI (TyG-BMI) index (P < 0.001) during the six months following infection compared to pre-pandemic levels. Other variables remained unchanged. In the COVID-19 negative group, significant reductions were noted in TC (P = 0.001) and low-density lipoprotein cholesterol (LDL-C) (P = 0.01).

CONCLUSION

T2DM patients with mild to moderate COVID-19 infection exhibited improvements in TC, TG, BMI, and insulin-related indices. Lockdown restrictions were associated with decreased TC and LDL-C levels in T2DM patients without a history of COVID-19 infection.

Effect of Ficus pumila L. on Improving Insulin Secretory Capacity and Resistance in Elderly Patients Aged 80 Years Old or Older Who Develop Diabetes After COVID-19 Infection

(1) Background: It has been reported that people affected by COVID-19, an infectious disease caused by SARS-CoV-2, suffer from various diseases, after infection. One of the most serious problems is the increased risk of developing diabetes after COVID-19 infection. However, a treatment for post-COVID-19 infection diabetes has not yet been established. In this study, we investigated the effects of Ficus pumila L. extract, which has traditionally been used to reduce blood glucose levels in Okinawa, on patients who developed diabetes after COVID-19 infection. (2) Methods: In total, 128 rehabilitation patients aged 80 years old or older who developed diabetes after COVID-19 infection were included. The HOMA-β (Homeostatic model assessment of β-cell function) and HOMA-IR (Homeostatic model assessment of insulin resistance) were assessed to evaluate the glucose tolerance. (3) Results: The HOMA-β decreased and HOMA-IR increased in patients who developed after diabetes after COVID-19 infection. Subsequently, 59 patients were given Ficus pumila L. extract and their HOMA-β and HOMA-IR improved after ingestion. On the other hand, the control group of patients who did not consume Ficus pumila L. showed no improvement in both HOMA-β and HOMA-IR. (4) Conclusions: Ficus pumila L. extract, ingested by patients who developed diabetes after COVID-19 infection, stimulated insulin secretion capacity and improved insulin resistance.

Hormonal Implications of SARS-CoV-2: A Review of Endocrine Disruptions

To improve medical care and rehabilitation algorithms for patients affected by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), it is important to evaluate and summarize the available data on the effect of coronavirus infection (COVID-19) on the endocrine system. The purpose of this review was to study the effect of COVID-19 on the endocrine system. The scientific novelty of this study is the evaluation of the effect of coronavirus infection on the endocrine system and the potential effect of hormones on susceptibility to COVID-19. The results of this review show that the endocrine system is vulnerable to disorders caused by COVID-19, mainly thyroid dysfunction and hyperglycemia. The information in the published literature mentioned here contains some unclear aspects and contradictory data, but much remains to be studied and clarified regarding the impact of COVID-19 on the endocrine system. In particular, this concerns the study of the hyperglycemic status of patients who have had coronavirus infection, which is extremely important for the future metabolic health of COVID-19 survivors. This review contributes to the scientific discourse by systematically synthesizing disparate studies to identify patterns, gaps, and emerging trends in the literature concerning the effects of COVID-19 on the endocrine system. By integrating these findings, this study offers a novel perspective on potential hormonal interactions influencing COVID-19 susceptibility and outcomes, proposing new hypotheses and frameworks for future research.

Antidiabetic agent use and clinical outcomes in patients with diabetes hospitalized for COVID-19: a systematic review and meta-analysis

Background

The effect of antidiabetic agents on mortality outcomes is unclear for individuals with diabetes mellitus (DM) who are hospitalized for COVID-19.

Purpose

To examine the relationship between antidiabetic agent use and clinical outcomes in individuals with DM hospitalized for COVID-19.

Methods

A systematic review of the literature (2020-2024) was performed across five databases. Included articles reported primary research (English) reporting clinical outcomes of adult patients (≥18 yrs.) with DM receiving antidiabetic agents who were hospitalized for COVID-19. Following PRISMA guidelines articles underwent independent dual review. Quality appraisal was completed for included studies. Independent reviewers used a structured data extraction form to retrieve relevant data. Aggregated data were synthesized by treatment regimen and reported descriptively. Random effects meta-analyses were performed to assess relative risk and prevalence of mortality.

Results

After removing duplicates, title and abstract screening of 4,898 articles identified 118 articles for full-text review and 35 articles were retained for analysis. Included articles were primarily from China (15/35, 43%) and retrospective in nature (31/35, 89%). Fourteen studies (40%) assessed multiple antidiabetic agents, fifteen studies (42%) focused on metformin, three studies (9%) assessed the use of DPP-4 inhibitors, and three single studies (9%) investigated the use of insulin, TZD, and SGLT2 inhibitors. Despite differences among studies, the overall relative risk of mortality among metformin and DPP-4 inhibitor users was 0.432 (95% CI = 0.268-0.695, z = 3.45, p < 0.001) and the overall prevalence of mortality among all antidiabetic users was 16% (95% CI = 13%-19%, z = 10.70, p < 0.001).

Conclusions and implications

Synthesis of findings suggest that patients who remained on oral agents (with/without supplemental insulin therapy) exhibited decreased mortality and lower inflammatory markers. Results indicate that individuals with DM should continue oral antidiabetic agents with additional basal insulin as needed to improve glycemic control and reduce mortality. Further work is needed to uncover mechanism(s) and clarify medical management approaches.

Interferon Upregulation Associates with Insulin Resistance in Humans

In humans, insulin resistance is a physiological response to infections developed to supply sufficient energy to the activated immune system. This metabolic adaptation facilitates the immune response but usually persists after the recovery period of the infection and predisposes the hosts to type 2 diabetes and vascular injury. In patients with diabetes, superimposed insulin resistance worsens metabolic control and promotes diabetic ketoacidosis. Pathogenic mechanisms underlying insulin resistance during microbial invasions remain to be fully defined. However, interferons cause insulin resistance in healthy subjects and other population groups, and their production is increased during infections, suggesting that this group of molecules may contribute to reduced insulin sensitivity. In agreement with this notion, gene expression profiles (transcriptomes) from patients with insulin resistance show a robust overexpression of interferon- stimulated genes (interferon signature). In addition, serum levels of interferon and surrogates for interferon activity are elevated in patients with insulin resistance. Circulating levels of interferon- γ-inducible protein-10, neopterin, and apolipoprotein L1 correlate with insulin resistance manifestations, such as hypertriglyceridemia, reduced HDL-c, visceral fat, and homeostasis model assessment-insulin resistance. Furthermore, interferon downregulation improves insulin resistance. Antimalarials such as hydroxychloroquine reduce interferon production and improve insulin resistance, reducing the risk for type 2 diabetes and cardiovascular disease. In addition, diverse clinical conditions that feature interferon upregulation are associated with insulin resistance, suggesting that interferon may be a common factor promoting this adaptive response. Among these conditions are systemic lupus erythematosus, sarcoidosis, and infections with severe acute respiratory syndrome-coronavirus-2, human immunodeficiency virus, hepatitis C virus, and Mycobacterium tuberculosis.

Recognizing SARS-CoV-2 infection of nasopharyngeal tissue at the single-cell level by machine learning method

SARS-CoV-2 has posed serious global health challenges not only because of the high degree of virus transmissibility but also due to its severe effects on the respiratory system, such as inducing changes in multiple organs through the ACE2 receptor. This virus makes changes to gene expression at the single-cell level and thus to cellular functions and immune responses in a variety of cell types. Previous studies have not been able to resolve these mechanisms fully, and so our study tries to bridge knowledge gaps about the cellular responses under conditions of infection. We performed single-cell RNA-sequencing of nasopharyngeal swabs from COVID-19 patients and healthy controls. We assembled a dataset of 32,588 cells for 58 subjects for analysis. The data were sorted into eight cell types: ciliated, basal, deuterosomal, goblet, myeloid, secretory, squamous, and T cells. Using machine learning, including nine feature ranking algorithms and two classification algorithms, we classified the infection status of single cells and analyzed gene expression to pinpoint critical markers of SARS-CoV-2 infection. Our findings show distinct gene expression profiles between infected and uninfected cells across diverse cell types, with key indicators such as FKBP4, IFITM1, SLC35E1, CD200R1, MT-ATP6, KRT13, RBM15, and FTH1 illuminating unique immune responses and potential pathways for viral spread and immune evasion. The machine learning methods effectively differentiated between infected and non-infected cells, shedding light on the cellular heterogeneity of SARS-CoV-2 infection. The findings will improve our knowledge of the cellular dynamics of SARS-CoV-2.

COVID-19 infection and inactivated vaccination: Impacts on clinical and immunological profiles in Chinese children with type 1 diabetes

BACKGROUND

The coronavirus disease 2019 (COVID-19) pandemic has been linked to an increased incidence of diabetes and diabetic ketoacidosis (DKA). However, the relationship between COVID-19 infection and progression to type 1 diabetes (T1D) in children has not been well defined.

AIM

To evaluate the influence of COVID-19 infection and inactivated vaccine administration on the progression of T1D among Chinese children.

METHODS

A total of 197 newly diagnosed patients with T1D were retrospectively enrolled from Children's Hospital of Fudan University between September 2020 and December 2023. The patients were divided into three groups based on their history of COVID-19 infection and vaccination: the infection group, the vaccination-only group, and the non-infection/non-vaccination group. Comprehensive clinical assessments and detailed immunological evaluations were performed to delineate the characteristics and immune responses of these groups.

RESULTS

The incidence of DKA was significantly higher in the COVID-19 infection group (70.2%) compared to the non-infection/non-vaccination group (62.5%) and vacscination-only group (45.6%; P = 0.015). Prior COVID-19 infection was correlated with increased DKA risk (OR: 1.981, 95%CI: 1.026-3.825, P = 0.042), while vaccination was associated with a reduced risk (OR: 0.558, 95%CI: 0.312-0.998, P = 0.049). COVID-19 infection mildly altered immune profiles, with modest differences in autoantibody positivity, lymphocyte distribution, and immunoglobulin levels. Notably, HLA-DR3 positive children with a history of COVID-19 infection had an earlier T1D onset and lower fasting C-peptide levels than the HLA-DR3 negative children with a history of infection (both P < 0.05).

CONCLUSION

COVID-19 infection predisposes children to severe T1D, characterized by enhanced DKA risk. Inactivated vaccination significantly lowers DKA incidence at T1D onset. These findings are valuable for guiding future vaccination and T1D risk surveillance strategies in epidemic scenarios in the general pediatric population.

A novel microRNA promotes coxsackievirus B4 infection of pancreatic β cells

The epidemiological association of coxsackievirus B infection with type 1 diabetes suggests that therapeutic strategies that reduce viral load could delay or prevent disease onset. Moreover, recent studies suggest that treatment with antiviral agents against coxsackievirus B may help preserve insulin levels in type 1 diabetic patients. In the current study, we performed small RNA-sequencing to show that infection of immortalized trophoblast cells with coxsackievirus caused differential regulation of several miRNAs. One of these, hsa-miR-AMC1, was similarly upregulated in human pancreatic β cells infected with coxsackievirus B4. Moreover, treatment of β cells with non-cytotoxic concentrations of an antagomir that targets hsa-miR-AMC1 led to decreased CVB4 infection, suggesting a positive feedback loop wherein this microRNA further promotes viral infection. Interestingly, some predicted target genes of hsa-miR-AMC1 are shared with hsa-miR-184, a microRNA that is known to suppress genes that regulate insulin production in pancreatic β cells. Consistently, treatment of coxsackievirus B4-infected β cells with the hsa-miR-AMC1 antagomir was associated with a trend toward increased insulin production. Taken together, our findings implicate novel hsa-miR-AMC1 as a potential early biomarker of coxsackievirus B4-induced type 1 diabetes and suggest that inhibiting hsa-miR-AMC1 may provide therapeutic benefit to type 1 diabetes patients. Our findings also support the use of trophoblast cells as a model for identifying microRNAs that might be useful diagnostic markers or therapeutic targets for coxsackievirus B-induced type 1 diabetes.

Pathological Sequelae of SARS-CoV-2: A Review for Clinicians

The Coronavirus Disease 2019 (COVID-19) pandemic, driven by the novel coronavirus and its variants, has caused over 518 million infections and 6.25 million deaths globally, leading to a significant health crisis. Beyond its primary respiratory impact, Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2) has been implicated in various extra-pulmonary complications. Research studies reveal that the virus affects multiple organs, including the kidneys, liver, pancreas, and central nervous system (CNS), largely due to the widespread expression of Angiotensin Converting Enzyme-2 (ACE-2) receptors. Clinical evidence shows that the virus can induce diabetes by disrupting pancreatic and liver functions as well as cause acute kidney injury. Additionally, neurological complications, including cognitive impairments and neuroinflammation, have been observed in a significant number of COVID-19 patients. This review discusses the mechanisms linking SARS-CoV-2 to acute kidney injury, Type 1 and Type 2 Diabetes Mellitus (T1DM and T2DM), emphasizing its effects on pancreatic beta cells, insulin resistance, and the regulation of gluconeogenesis. We also explore how SARS-CoV-2 induces neurological complications, detailing the intricate pathways of neuro-invasion and the potential to trigger conditions such as Alzheimer's disease (AD). By elucidating the metabolic and neurological manifestations of COVID-19 and the underlying pathogenic mechanisms, this review underscores the imperative for continued research and the development of effective therapeutic interventions to mitigate the long-term and short-term impacts of SARS-CoV-2 infection.

The Integrated Stress Response in Pancreatic Development, Tissue Homeostasis, and Cancer

Present in all eukaryotic cells, the integrated stress response (ISR) is a highly coordinated signaling network that controls cellular behavior, metabolism, and survival in response to diverse stresses. The ISR is initiated when any 1 of 4 stress-sensing kinases (protein kinase R-like endoplasmic reticulum kinase [PERK], general control non-derepressible 2 [GCN2], double-stranded RNA-dependent protein kinase [PKR], heme-regulated eukaryotic translation initiation factor 2α kinase [HRI]) becomes activated to phosphorylate the protein translation initiation factor eukaryotic translation initiation factor 2α (eIF2α), shifting gene expression toward a comprehensive rewiring of cellular machinery to promote adaptation. Although the ISR has been shown to play an important role in the homeostasis of multiple tissues, evidence suggests that it is particularly crucial for the development and ongoing health of the pancreas. Among the most synthetically dynamic tissues in the body, the exocrine and endocrine pancreas relies heavily on the ISR to rapidly adjust cell function to meet the metabolic demands of the organism. The hardwiring of the ISR into normal pancreatic functions and adaptation to stress may explain why it is a commonly used pro-oncogenic and therapy-resistance mechanism in pancreatic ductal adenocarcinoma and pancreatic neuroendocrine tumors. Here, we review what is known about the key roles that the ISR plays in the development, homeostasis, and neoplasia of the pancreas.

Correlation of the FIB-4 Liver Biomarker Score with the Severity of Heart Failure

Background and Objectives: Heart failure is associated with high morbidity and mortality and linked with several pre-existing health conditions and risk factors. Early detection and prompt management in heart failure improves patient outcomes. Liver involvement is associated with heart failure disease progression, and hence liver biomarkers and liver fibrosis may have a prognostic impact. Several blood test based markers and scoring systems estimate liver fibrosis and hence can be useful prognostic tools. Materials and Methods: We retrospectively analyzed a series of 303 patients with decompensated heart failure in a city in western Romania over a period of 6 months. Several biochemical parameters were measured, the FIB-4 score was estimated and echocardiography was performed. Results for targeted variables are presented using descriptive statistics. Patients were analyzed based on their LVEF categories. Statistical analysis was based on ANOVA one-way tests for continuous variables and Chi-square tests for categorical variables. Pairwise comparisons were performed based on Bonferroni adjusted significance tests. The correlations between FIB-4 score, LVEF and NT-pro BNP in patients with and without diabetes and hypertension were explored using Spearman's correlation coefficient. Result: Age, gender, NYHA class, death, history of (h/o) type 2 diabetes mellitus (T2DM), h/o coronary artery disease (CAD), h/o arrhythmias, sodium, potassium, creatinine, eGFR, uric acid, NT-pro BNP, left atrial volume, LDL, HDL, and TG were analyzed by LVEF categories using ANOVA one-way tests, Chi-square tests, and Bonferroni correction comparisons. We found a strong statistically significant correlation between each of NT-pro BNP, left atrial volume, LDL, and HDL with the LVEF categories. Discussion: Early detection of cardiac dysfunction leads to better management in patients with cardiovascular risk factors including diabetes and hypertension. High LDL and low HDL levels contribute to a reduction in left ventricular (LV) function. Available literature suggests the FIB-4 score as superior to other non-invasive markers of fibrosis. It utilizes the patient's age, platelet count, AST, and ALT, which can be available retrospectively, making it an easy and inexpensive tool. FIB-4 score has a few limitations. Conclusions: Our study has shown a statistically significant positive correlation between severity categories of LVEF and FIB-4 score for heart failure patients with and without diabetes, and for heart failure patients with or without hypertension. We propose the implementation of FIB-4 score as a prognostic tool for heart failure.

Human vascularized macrophage-islet organoids to model immune-mediated pancreatic β cell pyroptosis upon viral infection

There is a paucity of human models to study immune-mediated host damage. Here, we utilized the GeoMx spatial multi-omics platform to analyze immune cell changes in COVID-19 pancreatic autopsy samples, revealing an accumulation of proinflammatory macrophages. Single-cell RNA sequencing (scRNA-seq) analysis of human islets exposed to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) or coxsackievirus B4 (CVB4) viruses identified activation of proinflammatory macrophages and β cell pyroptosis. To distinguish viral versus proinflammatory-macrophage-mediated β cell pyroptosis, we developed human pluripotent stem cell (hPSC)-derived vascularized macrophage-islet (VMI) organoids. VMI organoids exhibited enhanced marker expression and function in both β cells and endothelial cells compared with separately cultured cells. Notably, proinflammatory macrophages within VMI organoids induced β cell pyroptosis. Mechanistic investigations highlighted TNFSF12-TNFRSF12A involvement in proinflammatory-macrophage-mediated β cell pyroptosis. This study established hPSC-derived VMI organoids as a valuable tool for studying immune-cell-mediated host damage and uncovered the mechanism of β cell damage during viral exposure.

SARS-CoV-2 Infection and the Neuroendocrine System

BACKGROUND

The novel coronavirus strain SARS-CoV-2 triggered the COVID-19 pandemic with severe economic and social ramifications. As the pathophysiology of SARS-CoV-2 infection in the respiratory system becomes more understood, growing evidence suggests that the virus also impacts the homeostasis-regulating neuroendocrine system, potentially affecting other organ systems.

SUMMARY

This review explores the interactions between SARS-CoV-2 and the neuroendocrine system, highlighting the effect of this virus on various endocrine glands, including the brain, hypothalamus, pituitary, pineal, thyroid, parathyroid, adrenal glands, pancreatic islets, gonads, and adipose tissue. The viral invasion disrupts normal hormonal pathways, leading to a range of endocrine disorders, immune dysregulation, and metabolic disturbances.

KEY MESSAGES

There is potential for SARS-CoV-2 to induce autoimmune responses, exacerbate existing endocrine conditions, and trigger new-onset disorders. Understanding these interactions is crucial for developing treatment strategies that address not only the respiratory symptoms of COVID-19 but also its endocrine complications. The review emphasizes the need for further research to elucidate the long-term effects of SARS-CoV-2 on endocrine health.

Increased Insulin Requirements in Severe Cases of Covid-19 are Higher Than in Moderate Cases

Purpose

Despite the low overall death rate of coronavirus disease 2019 (COVID-19), no study has examined the association between COVID-19 severity and the total daily insulin dose required for glycemic control. The aim of this study was to determine the maximum total daily insulin dose required according to COVID-19 severity, and the number of days required to reach the maximum insulin dose in patients with COVID-19 who used insulin during hospitalization.

Patients and Methods

This retrospective cohort study included participants aged 20-90 years with a confirmed diagnosis of COVID-19 who used insulin during hospitalization at Kyoto Prefectural University of Medicine Hospital between March 4, 2020, and May 31, 2021. Factors associated with maximum insulin dose during hospitalization were evaluated using linear regression analyses.

Results

The maximum insulin doses were 31.8, 76.8, and 230.7 U/day, and the numbers of days between COVID-19 diagnosis and the need for maximum insulin were 15.6, 17.1, and 13.7 days in patients without ventilator management, with ventilator management, and with ventilator and extracorporeal membrane oxygenation management, respectively. Multivariate linear regression analyses revealed that hemoglobin A1c level (β = 15.87, P = 0.001), use of a ventilator (β = 50.53, P < 0.001), and use of extracorporeal membrane oxygenation (β = 150.36, P < 0.001) were independent determinants of maximum insulin dose.

Conclusion

Patients with severe COVID-19 required a significantly higher maximum insulin dose than did those with moderate COVID-19. The maximum insulin dose was reached approximately 2 weeks after onset. Furthermore, the hemoglobin A1c level on admission and the use of a ventilator or extracorporeal membrane oxygenation during hospitalization were associated with the need for maximum insulin dose.

The relationship between SARS-CoV-2 infection and type 1 diabetes mellitus

Environmental factors, in particular viral infections, are thought to have an important role in the pathogenesis of type 1 diabetes mellitus (T1DM). The COVID-19 pandemic reinforced this hypothesis as many observational studies and meta-analyses reported a notable increase in the incidence of T1DM following infection with SARS-CoV-2 as well as an association between SARS-CoV-2 infection and the risk of new-onset T1DM. Experimental evidence suggests that human β-cells express SARS-CoV-2 receptors and that SARS-CoV-2 can infect and replicate in β-cells, resulting in structural or functional alterations of these cells. These alterations include reduced numbers of insulin-secreting granules, impaired pro-insulin (or insulin) secretion, and β-cell transdifferentiation or dedifferentiation. The inflammatory environment induced by local or systemic SARS-CoV-2 infection might result in a set of signals (such as pro-inflammatory cytokines) that lead to β-cell alteration or apoptosis or to a bystander activation of T cells and disruption of peripheral tolerance that triggers autoimmunity. Other mechanisms, such as viral persistence, molecular mimicry and activation of endogenous human retroviruses, are also likely to be involved in the pathogenesis of T1DM following SARS-CoV-2 infection. This Review addresses the issue of the involvement of SARS-CoV-2 infection in the development of T1DM using evidence from epidemiological, clinical and experimental studies.

Risk of New-Onset Diabetes Before and During the COVID-19 Pandemic: A Real-World Cohort Study

BACKGROUND

Studies of new-onset diabetes as a post-acute sequela of SARS-CoV-2 infection are difficult to generalize to all socio-demographic subgroups.

OBJECTIVE

To study the risk of new-onset diabetes after SARS-CoV-2 infection in a socio-demographically diverse sample.

DESIGN

Retrospective cohort study of electronic health record (EHR) data available from the OneFlorida + clinical research network within the National Patient-Centered Clinical Research Network (PCORnet).

SUBJECTS

Persons aged 18 or older were included as part of an Exposed cohort (positive SARS-CoV-2 test or COVID-19 diagnosis between 1 March 2020 and 29 January 2022; n = 43,906), a contemporary unexposed cohort (negative SARS-CoV-2 test; n = 162,683), or an age-sex matched historical control cohort (index visits between 2 Mar 2018 and 30 Jan 2020; n = 40,957).

MAIN MEASURES

The primary outcome was new-onset type 2 diabetes ≥ 30 days after index visit. Hazard ratios and cases per 1000 person-years of new-onset diabetes were studied using target trial approaches for observational data. Associations were reported by sex, race/ethnicity, age, and hospitalization status subgroups.

KEY RESULTS

The sample was 62% female, 21.4% non-Hispanic Black, and 21.4% Hispanic; mean age was 51.8 (SD, 18.9) years. Relative to historical controls (cases, 28.2 [26.0-30.5]), the unexposed (HR, 1.28 [95% CI, 1.18-1.39]; excess cases, [5.1-10.3]), and exposed cohorts (HR, 1.64 [95% CI, 1.50-1.80]; excess cases, 17.3 [13.7-20.8]) had higher risk of new-onset T2DM. Relative to the unexposed cohort, the exposed cohort had a higher risk (HR, 1.28 [1.19-1.37]); excess cases, 9.5 [6.4-12.7]). Findings were similar across subgroups.

CONCLUSION

The pandemic period was associated with increased T2DM cases across all socio-demographic subgroups; the greatest risk was observed among individuals exposed to SARS-CoV-2.

Cardiovascular abnormalities of long-COVID syndrome: Pathogenic basis and potential strategy for treatment and rehabilitation

Cardiac injury and sustained cardiovascular abnormalities in long-COVID syndrome, i.e. post-acute sequelae of coronavirus disease 2019 (COVID-19) have emerged as a debilitating health burden that has posed challenges for management of pre-existing cardiovascular conditions and other associated chronic comorbidities in the most vulnerable group of patients recovered from acute COVID-19. A clear and evidence-based guideline for treating cardiac issues of long-COVID syndrome is still lacking. In this review, we have summarized the common cardiac symptoms reported in the months after acute COVID-19 illness and further evaluated the possible pathogenic factors underlying the pathophysiology process of long-COVID. The mechanistic understanding of how Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) damages the heart and vasculatures is critical in developing targeted therapy and preventive measures for limiting the viral attacks. Despite the currently available therapeutic interventions, a considerable portion of patients recovered from severe COVID-19 have reported a reduced functional reserve due to deconditioning. Therefore, a rigorous and comprehensive cardiac rehabilitation program with individualized exercise protocols would be instrumental for the patients with long-COVID to regain the physical fitness levels comparable to their pre-illness baseline.

Human Vascularized Macrophage-Islet Organoids to Model Immune-Mediated Pancreatic β cell Pyroptosis upon Viral Infection

There is a paucity of human models to study immune-mediated host damage. Here, we utilized the GeoMx spatial multi-omics platform to analyze immune cell changes in COVID-19 pancreatic autopsy samples, revealing an accumulation of proinflammatory macrophages. Single cell RNA-seq analysis of human islets exposed to SARS-CoV-2 or Coxsackievirus B4 (CVB4) viruses identified activation of proinflammatory macrophages and β cell pyroptosis. To distinguish viral versus proinflammatory macrophage-mediated β cell pyroptosis, we developed human pluripotent stem cell (hPSC)-derived vascularized macrophage-islet (VMI) organoids. VMI organoids exhibited enhanced marker expression and function in both β cells and endothelial cells compared to separately cultured cells. Notably, proinflammatory macrophages within VMI organoids induced β cell pyroptosis. Mechanistic investigations highlighted TNFSF12-TNFRSF12A involvement in proinflammatory macrophage-mediated β cell pyroptosis. This study established hPSC-derived VMI organoids as a valuable tool for studying immune cell-mediated host damage and uncovered mechanism of β cell damage during viral exposure.

Potential Effects of Hyperglycemia on SARS-CoV-2 Entry Mechanisms in Pancreatic Beta Cells

The COVID-19 pandemic has revealed a bidirectional relationship between SARS-CoV-2 infection and diabetes mellitus. Existing evidence strongly suggests hyperglycemia as an independent risk factor for severe COVID-19, resulting in increased morbidity and mortality. Conversely, recent studies have reported new-onset diabetes following SARS-CoV-2 infection, hinting at a potential direct viral attack on pancreatic beta cells. In this review, we explore how hyperglycemia, a hallmark of diabetes, might influence SARS-CoV-2 entry and accessory proteins in pancreatic β-cells. We examine how the virus may enter and manipulate such cells, focusing on the role of the spike protein and its interaction with host receptors. Additionally, we analyze potential effects on endosomal processing and accessory proteins involved in viral infection. Our analysis suggests a complex interplay between hyperglycemia and SARS-CoV-2 in pancreatic β-cells. Understanding these mechanisms may help unlock urgent therapeutic strategies to mitigate the detrimental effects of COVID-19 in diabetic patients and unveil if the virus itself can trigger diabetes onset.

Update on the transdifferentiation of pancreatic cells into functional beta cells for treating diabetes

The increasing global prevalence and associated comorbidities need innovative approaches for type 2 diabetes mellitus (T2DM) prevention and treatment. Genetics contributes significantly to T2DM susceptibility, and genetic counseling is significant in detecting and informing people about the diabetic risk. T2DM is also intricately linked to overnutrition and obesity, and nutritional advising is beneficial to mitigate diabetic evolution. However, manipulating pancreatic cell plasticity and transdifferentiation could help beta cell regeneration and glucose homeostasis, effectively contributing to the antidiabetic fight. Targeted modulation of transcription factors is highlighted for their roles in various aspects of pancreatic cell differentiation and function, inducing non-beta cells' conversion into functional beta cells (responsive to glucose). In addition, pharmacological interventions targeting specific receptors and pathways might facilitate cell transdifferentiation aiming to maintain or increase beta cell mass and function. However, the mechanisms underlying cellular reprogramming are not yet well understood. The present review highlights the primary transcriptional factors in the endocrine pancreas, focusing on transdifferentiation as a primary mechanism. Therefore, islet cell reprogramming, converting one cell type to another and transforming non-beta cells into insulin-producing cells, depends, among others, on transcription factors. It is a promising fact that new transcription factors are discovered every day, and their actions on pancreatic islet cells are revealed. Exploring these pathways associated with pancreatic development and islet endocrine cell differentiation could unravel the molecular intricacies underlying transdifferentiation processes, exploring novel therapeutic strategies to treat diabetes. The medical use of this biotechnology is expected to be achievable within a short time.

Mammalian integrated stress responses in stressed organelles and their functions

The integrated stress response (ISR) triggered in response to various cellular stress enables mammalian cells to effectively cope with diverse stressful conditions while maintaining their normal functions. Four kinases (PERK, PKR, GCN2, and HRI) of ISR regulate ISR signaling and intracellular protein translation via mediating the phosphorylation of eukaryotic translation initiation factor 2 α (eIF2α) at Ser51. Early ISR creates an opportunity for cells to repair themselves and restore homeostasis. This effect, however, is reversed in the late stages of ISR. Currently, some studies have shown the non-negligible impact of ISR on diseases such as ischemic diseases, cognitive impairment, metabolic syndrome, cancer, vanishing white matter, etc. Hence, artificial regulation of ISR and its signaling with ISR modulators becomes a promising therapeutic strategy for relieving disease symptoms and improving clinical outcomes. Here, we provide an overview of the essential mechanisms of ISR and describe the ISR-related pathways in organelles including mitochondria, endoplasmic reticulum, Golgi apparatus, and lysosomes. Meanwhile, the regulatory effects of ISR modulators and their potential application in various diseases are also enumerated.

Infection with SARS-CoV-2 can cause pancreatic impairment

Evidence suggests associations between COVID-19 patients or vaccines and glycometabolic dysfunction and an even higher risk of the occurrence of diabetes. Herein, we retrospectively analyzed pancreatic lesions in autopsy tissues from 67 SARS-CoV-2 infected non-human primates (NHPs) models and 121 vaccinated and infected NHPs from 2020 to 2023 and COVID-19 patients. Multi-label immunofluorescence revealed direct infection of both exocrine and endocrine pancreatic cells by the virus in NHPs and humans. Minor and limited phenotypic and histopathological changes were observed in adult models. Systemic proteomics and metabolomics results indicated metabolic disorders, mainly enriched in insulin resistance pathways, in infected adult NHPs, along with elevated fasting C-peptide and C-peptide/glucose ratio levels. Furthermore, in elder COVID-19 NHPs, SARS-CoV-2 infection causes loss of beta (β) cells and lower expressed-insulin in situ characterized by islet amyloidosis and necrosis, activation of α-SMA and aggravated fibrosis consisting of lower collagen in serum, an increase of pancreatic inflammation and stress markers, ICAM-1 and G3BP1, along with more severe glycometabolic dysfunction. In contrast, vaccination maintained glucose homeostasis by activating insulin receptor α and insulin receptor β. Overall, the cumulative risk of diabetes post-COVID-19 is closely tied to age, suggesting more attention should be paid to blood sugar management in elderly COVID-19 patients.

New Insights into the Effects of SARS-CoV-2 on Metabolic Organs: A Narrative Review of COVID-19 Induced Diabetes

Coronavirus disease 2019 (COVID-19)-induced new-onset diabetes has raised widespread concerns. Increased glucose concentration and insulin resistance levels were observed in the COVID-19 patients. COVID-19 patients with newly diagnosed diabetes may have worse clinical outcomes and can have serious consequences. The types and exact mechanisms of COVID-19-caused diabetes are not well understood. Understanding the direct effects of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) on pancreatic beta cells and insulin target metabolism organs, such as the liver, muscle, and adipose tissues, will provide new ideas for preventing and treating the new-onset diabetes induced by COVID-19.

Diabetes Mellitus, Energy Metabolism, and COVID-19

Obesity, diabetes mellitus (mostly type 2), and COVID-19 show mutual interactions because they are not only risk factors for both acute and chronic COVID-19 manifestations, but also because COVID-19 alters energy metabolism. Such metabolic alterations can lead to dysglycemia and long-lasting effects. Thus, the COVID-19 pandemic has the potential for a further rise of the diabetes pandemic. This review outlines how preexisting metabolic alterations spanning from excess visceral adipose tissue to hyperglycemia and overt diabetes may exacerbate COVID-19 severity. We also summarize the different effects of SARS-CoV-2 infection on the key organs and tissues orchestrating energy metabolism, including adipose tissue, liver, skeletal muscle, and pancreas. Last, we provide an integrative view of the metabolic derangements that occur during COVID-19. Altogether, this review allows for better understanding of the metabolic derangements occurring when a fire starts from a small flame, and thereby help reducing the impact of the COVID-19 pandemic.

Diabetes as a Pancreatic Microvascular Disease-A Pericytic Perspective

Diabetes is not only an endocrine but also a vascular disease. Vascular defects are usually seen as consequence of diabetes. However, at the level of the pancreatic islet, vascular alterations have been described before symptom onset. Importantly, the cellular and molecular mechanisms underlying these early vascular defects have not been identified, neither how these could impact the function of islet endocrine cells. In this review, we will discuss the possibility that dysfunction of the mural cells of the microvasculature-known as pericytes-underlies vascular defects observed in islets in pre-symptomatic stages. Pericytes are crucial for vascular homeostasis throughout the body, but their physiological and pathophysiological functions in islets have only recently started to be explored. A previous study had already raised interest in the "microvascular" approach to this disease. With our increased understanding of the crucial role of the islet microvasculature for glucose homeostasis, here we will revisit the vascular aspects of islet function and how their deregulation could contribute to diabetes pathogenesis, focusing in particular on type 1 diabetes (T1D).

ISR inhibition reverses pancreatic β-cell failure in Wolfram syndrome models

Pancreatic β-cell failure by WFS1 deficiency is manifested in individuals with wolfram syndrome (WS). The lack of a suitable human model in WS has impeded progress in the development of new treatments. Here, human pluripotent stem cell derived pancreatic islets (SC-islets) harboring WFS1 deficiency and mouse model of β cell specific Wfs1 knockout were applied to model β-cell failure in WS. We charted a high-resolution roadmap with single-cell RNA-seq (scRNA-seq) to investigate pathogenesis for WS β-cell failure, revealing two distinct cellular fates along pseudotime trajectory: maturation and stress branches. WFS1 deficiency disrupted β-cell fate trajectory toward maturation and directed it towards stress trajectory, ultimately leading to β-cell failure. Notably, further investigation of the stress trajectory identified activated integrated stress response (ISR) as a crucial mechanism underlying WS β-cell failure, characterized by aberrant eIF2 signaling in WFS1-deficient SC-islets, along with elevated expression of genes in regulating stress granule formation. Significantly, we demonstrated that ISRIB, an ISR inhibitor, efficiently reversed β-cell failure in WFS1-deficient SC-islets. We further validated therapeutic efficacy in vivo with β-cell specific Wfs1 knockout mice. Altogether, our study provides novel insights into WS pathogenesis and offers a strategy targeting ISR to treat WS diabetes.

Impact of Delta SARS-CoV-2 Infection on Glucose Metabolism: Insights on Host Metabolism and Virus Crosstalk in a Feline Model

Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) causes enhanced mortality in people with metabolic and cardiovascular diseases. Other highly infectious RNA viruses have demonstrated dependence on glucose transport and utilization, so we hypothesized that SARS-CoV-2 infection could lead to alterations in cellular and whole-body glucose metabolism. Twenty-four healthy domestic cats were intratracheally inoculated with B.1.617.2 (delta) SARS-CoV-2 and samples were collected at 4- and 12-days post-inoculation (dpi). Blood glucose and circulating cortisol concentrations were elevated at 4 and 12 dpi. Serum insulin concentration was statistically significantly decreased, while angiotensin 2 concentration was elevated at 12 dpi. SARS-CoV-2 RNA was detected in the pancreas and skeletal muscle at low levels; however, no change in the number of insulin-producing cells or proinflammatory cytokines was observed in the pancreas of infected cats through 12 dpi. SARS-CoV-2 infection statistically significantly increased GLUT protein expression in both the heart and lungs, correlating with increased AMPK expression. In brief, SARS-CoV-2 increased blood glucose concentration and cardio-pulmonary GLUT expression through an AMPK-dependent mechanism, without affecting the pancreas, suggesting that SARS-CoV-2 induces the reprogramming of host glucose metabolism. A better understanding of host cell metabolism and virus crosstalk could lead to the discovery of novel metabolic therapeutic targets for patients affected by COVID-19.

Type 1 diabetes: A new vision of the disease based on endotypes

Diagnosis and management of type 1 diabetes (T1D) have remained largely unchanged for the last several years. The management of the disease remains primarily focused on its phenotypical presentation and less on endotypes, namely the specific biological mechanisms behind the development of the disease. Furthermore, the treatment of T1D is essentially universal and indiscriminate-with patients administering insulin at varying dosages and frequencies to maintain adequate glycaemic control. However, it is now well understood that T1D is a heterogeneous disease with many different biological mechanisms (i.e. endotypes) behind its complex pathophysiology. A range of factors, including age of onset, immune system regulation, rate of β-cell destruction, autoantibodies, body weight, genetics and the exposome are recognised to play a role in the development of the condition. Patients can be classified into distinct diabetic subtypes based on these factors, which can be used to categorise patients into specific endotypes. The classification of patients into endotypes allows for a greater understanding of the natural progression of the disease, giving rise to more accurate and patient-centred therapies and follow-up monitoring, specifically for other autoimmune diseases. This review proposes 6 unique endotypes of T1D based on the current literature. The recognition of these endotypes could then be used to direct therapeutic modalities based on patients' individual pathophysiology.

Differential impact of SARS-CoV-2 infection during different outbreak periods on incident diabetes in Japan: a matched cohort study utilizing health insurance claims

BACKGROUND

An increased risk of diabetes after COVID-19 exposure has been reported in Caucasians during the early phase of the pandemic, but the effects across viral variants and in non-Caucasians have not been evaluated.

METHODS

To address this gap, survival analyses were performed for five outbreak periods. From an anonymized health insurance database REZULT for the employees and their dependents of large companies or government agencies in Japan, 5 matched cohorts were generated based on age, sex, area of residence (47 prefectures), and 7 ranges of medical bills (COVID-19 exposed:unexposed = 1:4). Observation of each matching group began on the same day. Incident diabetes type 1 (T1D) and type 2 (T2D) were defined as the first claim during the target period, including at least 1 year before the start of observation.

RESULTS

T1D accounted for 0.8% of incident diabetes after the first COVID-19 exposure, similar to the non-exposed cohort. Most T2D in the COVID-19 cohort was observed within a few weeks. After further adjustment for the number of days from the start of observation to hospitalization (a time-dependent variable), the hazard ratio for incident T2D ranged from 14.1 to 20.0, with 95% confidence intervals (95%CI) of 8.7 to 32.0, during the 2-month follow-ups from the original strain outbreak to the Delta variant outbreak (by September 2021), and decreased to 2.0, with a 95%CI of 1.6 to 2.5, during the Omicron outbreak (by March 2022). No association was found during the BA.4/5 outbreak (until September 2022). Males had a higher risk, and the trend toward higher risk in older age groups was inconsistent across the periods.

CONCLUSIONS

Our large dataset, covering 2019-2023, reports for the first time the impact of COVID-19 on incident diabetes in non-Caucasians. The risk intensity and attributes of post-COVID-19 T2D were inconsistent across outbreak periods, suggesting diverse biological effects of different SARS-CoV-2 variants.

Single-Cell Transcriptome Profiling of Pancreatic Islets From Early Diabetic Mice Identifies Anxa10 for Ca2+ Allostasis Toward β-Cell Failure

Type 2 diabetes is a progressive disorder denoted by hyperglycemia and impaired insulin secretion. Although a decrease in β-cell function and mass is a well-known trigger for diabetes, the comprehensive mechanism is still unidentified. Here, we performed single-cell RNA sequencing of pancreatic islets from prediabetic and diabetic db/db mice, an animal model of type 2 diabetes. We discovered a diabetes-specific transcriptome landscape of endocrine and nonendocrine cell types with subpopulations of β- and α-cells. We recognized a new prediabetic gene, Anxa10, that was induced by and regulated Ca2+ influx from metabolic stresses. Anxa10-overexpressed β-cells displayed suppression of glucose-stimulated intracellular Ca2+ elevation and potassium-induced insulin secretion. Pseudotime analysis of β-cells predicted that this Ca2+-surge responder cluster would proceed to mitochondria dysfunction and endoplasmic reticulum stress. Other trajectories comprised dedifferentiation and transdifferentiation, emphasizing acinar-like cells in diabetic islets. Altogether, our data provide a new insight into Ca2+ allostasis and β-cell failure processes.

ARTICLE HIGHLIGHTS

The transcriptome of single-islet cells from healthy, prediabetic, and diabetic mice was studied. Distinct β-cell heterogeneity and islet cell-cell network in prediabetes and diabetes were found. A new prediabetic β-cell marker, Anxa10, regulates intracellular Ca2+ and insulin secretion. Diabetes triggers β-cell to acinar cell transdifferentiation.

Development trends of human organoid-based COVID-19 research based on bibliometric analysis

Coronavirus disease 2019 (COVID-19), a global pandemic caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has posed a catastrophic threat to human health worldwide. Human stem cell-derived organoids serve as a promising platform for exploring SARS-CoV-2 infection. Several review articles have summarized the application of human organoids in COVID-19, but the research status and development trend of this field have seldom been systematically and comprehensively studied. In this review, we use bibliometric analysis method to identify the characteristics of organoid-based COVID-19 research. First, an annual trend of publications and citations, the most contributing countries or regions and organizations, co-citation analysis of references and sources and research hotspots are determined. Next, systematical summaries of organoid applications in investigating the pathology of SARS-CoV-2 infection, vaccine development and drug discovery, are provided. Lastly, the current challenges and future considerations of this field are discussed. The present study will provide an objective angle to identify the current trend and give novel insights for directing the future development of human organoid applications in SARS-CoV-2 infection.

COVID-19 Vaccination Prior to SARS-CoV-2 Infection Reduced Risk of Subsequent Diabetes Mellitus: A Real-World Investigation Using U.S. Electronic Health Records

OBJECTIVE

Previous studies have indicated a bidirectional correlation between diabetes and severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection. However, no investigation has comprehensively explored the potential of coronavirus disease 2019 (COVID-19) vaccination to reduce the risk of new-onset diabetes in infected individuals.

RESEARCH DESIGN AND METHODS

In the first of 2 cohorts, we compared the risk of new-onset diabetes between individuals infected with SARS-CoV-2 and noninfected individuals (N = 1,562,606) using the TriNetX database to validate findings in prior literature. For the second cohort, we identified 83,829 vaccinated and 83,829 unvaccinated COVID-19 survivors from the same period. Diabetes, antihyperglycemic drug use, and a composite of both were defined as outcomes. We conducted Cox proportional hazard regression analysis for the estimation of hazard ratios (HRs) and 95% CIs. Kaplan-Meier analysis was conducted to calculate the incidence of new-onset diabetes. Subgroup analyses based on age (18-44, 45-64, ≥65 years), sex (female, male), race (White, Black or African American, Asian), and BMI categories (<19.9, 20-29, 30-39, ≥40), sensitivities analyses, and a dose-response analysis were conducted to validate the findings.

RESULTS

The initial cohort of patients infected with SARS-CoV-2 had a 65% increased risk (HR 1.65; 95% CI 1.62-1.68) of developing new-onset diabetes relative to noninfected individuals. In the second cohort, we observed that vaccinated patients had a 21% lower risk of developing new-onset diabetes in comparison with unvaccinated COVID-19 survivors (HR 0.79; 95% CI 0.73-0.86). Subgroup analyses by sex, age, race, and BMI yielded similar results. These findings were consistent in sensitivity analyses and cross-validation with an independent data set from TriNetX.

CONCLUSIONS

In conclusion, this study validates a 65% higher risk of new-onset diabetes in SARS-CoV-2-infected individuals compared to noninfected counterparts. Furthermore, COVID-19 survivors who received COVID-19 vaccinations experienced a reduced risk of new-onset diabetes, with a dose-dependent effect. Notably, the protective impact of COVID-19 vaccination is more pronounced among the Black/African American population than other ethnic groups. These findings emphasize the imperative of widespread vaccination to mitigate diabetes risk and the need for tailored strategies for diverse demographic groups to ensure equitable protection.

Functional interrogation of twenty type 2 diabetes-associated genes using isogenic human embryonic stem cell-derived β-like cells

Genetic studies have identified numerous loci associated with type 2 diabetes (T2D), but the functional roles of many loci remain unexplored. Here, we engineered isogenic knockout human embryonic stem cell lines for 20 genes associated with T2D risk. We examined the impacts of each knockout on β cell differentiation, functions, and survival. We generated gene expression and chromatin accessibility profiles on β cells derived from each knockout line. Analyses of T2D-association signals overlapping HNF4A-dependent ATAC peaks identified a likely causal variant at the FAIM2 T2D-association signal. Additionally, the integrative association analyses identified four genes (CP, RNASE1, PCSK1N, and GSTA2) associated with insulin production, and two genes (TAGLN3 and DHRS2) associated with β cell sensitivity to lipotoxicity. Finally, we leveraged deep ATAC-seq read coverage to assess allele-specific imbalance at variants heterozygous in the parental line and identified a single likely functional variant at each of 23 T2D-association signals.

New-Onset Diabetes After COVID-19

There is evidence suggesting that infection with SARS-CoV-2 can lead to several long-term sequelae including diabetes. This mini-review examines the rapidly evolving and conflicting literature on new-onset diabetes after COVID-19, which we term NODAC. We searched PubMed, MEDLINE, and medRxiv from inception until December 1, 2022, using Medical Subject Headings (MeSH) terms and free text words including "COVID-19," "SARS-CoV-2," "diabetes," "hyperglycemia," "insulin resistance," and "pancreatic β-cell." We also supplemented searches by examining reference lists from retrieved articles. Current evidence suggests that COVID-19 increases the risk of developing diabetes, but the attributable risk is uncertain because of limitations of study designs and the evolving nature of the pandemic, including new variants, widespread population exposure to the virus, diagnostic options for COVID-19, and vaccination status. The etiology of diabetes after COVID-19 is likely multifactorial and includes factors associated with host characteristics (eg, age), social determinants of health (eg, deprivation index), and pandemic-related effects both at the personal (eg, psychosocial stress) and the societal-community level (eg, containment measures). COVID-19 may have direct and indirect effects on pancreatic β-cell function and insulin sensitivity related to the acute infection and its treatment (eg, glucocorticoids); autoimmunity; persistent viral residency in multiple organs including adipose tissue; endothelial dysfunction; and hyperinflammatory state. While our understanding of NODAC continues to evolve, consideration should be given for diabetes to be classified as a post-COVID syndrome, in addition to traditional classifications of diabetes (eg, type 1 or type 2), so that the pathophysiology, natural history, and optimal management can be studied.

Type 2 diabetes and Covid-19: Lessons learnt, unanswered questions and hints for the future

Type 2 diabetes (T2DM) and COVID-19 represent a considerable burden of disease for patients and healthcare systems. New evidence is transpiring detailing the existence of a bidirectional relationship between T2DM and COVID-19. Alongside the acute influence of pre-existing T2DM on the course of COVID-19 and the exacerbation of dysglycemia following acute infection, long-term sequalae resulting from the synergistic interplay between the two is emerging, namely the development of COVID-induced diabetes and long-COVID in patients with pre-existing diabetes. This review presents our current understanding of the bidirectionality between these two conditions with a view to highlighting questions which remain unanswered and suggesting avenues for future research. In doing so, it emphasises critical gaps where concentrated research efforts are likely to yield the most beneficial improvements in understanding of the relationship between the two conditions, translating to tangible optimisations in care for the affected population.

Diabetic Ketoacidosis and Long-term Insulin Requirements in Youths with Newly Diagnosed Type 2 Diabetes During the SARS-CoV-2 Pandemic

OBJECTIVE

SARS-CoV-2 infection increases the risk of diabetes and diabetic ketoacidosis (DKA) in both adults and children. We investigated the clinical course of new-onset type 2 diabetes in youth presenting with DKA during the COVID-19 pandemic.

METHODS

This single-center retrospective cohort study included 148 subjects with obesity aged 10 to 21 years, admitted with DKA from January 2018 to January 2022. Groups were defined by the presence of DKA precipitant: any infection (n = 38, 26%), which included the SARS-CoV-2 (n = 10, 7%) and other infection (n = 28, 19%) groups, and no infection (n = 110, 74%). The primary outcome was insulin discontinuation within a 12-month follow-up.

RESULTS

The mean age was 14.9 years (IQR, 13.8-16.5), and age-adjusted body mass index (%) was 99.1 (IQR, 98.0-99.5) with 85.8% identifying as Black or Hispanic. There were no differences in DKA severity among groups. The incidence of DKA was higher during the pandemic (March 2020-January 2022, n = 117) than in the prepandemic period (January 2018-February 2020, n = 31). Within the first year after the acute DKA episode, 46 patients discontinued all insulin within 9 months (IQR, 4-14). Sixteen subjects restarted insulin 10 months (IQR, 6.5-11.0) after insulin discontinuation. Infection with SARS-CoV-2 at diagnosis was not associated with the likelihood (P =.57) or timing (P =.27) of discontinuing all insulin within 1 year, nor was having any infection.

CONCLUSION

The incidence of DKA at the onset of type 2 diabetes was higher during the SARS-CoV-2 pandemic than in the prepandemic period. SARS-CoV-2 infection was not associated with DKA severity or insulin discontinuation within the first year of diagnosis in youth with new-onset type 2 diabetes and DKA.

The Impact of COVID-19 Vaccines on the Development of Acute Complications in Type 1 and 2 Diabetes Patients: A Cross-Sectional Study in the Eastern Province of Saudi Arabia

Background

COVID-19 vaccines were developed to control the pandemic spread as they have been proven to be efficient and safe. However, the likelihood of such postvaccination effects as poor glycemic control and adverse events has been noted in several studies.

Objective

To determine the effect of COVID-19 vaccines on the glycemic control and the development of hyperglycemic emergencies among type 1 and 2 diabetes patients.

Methods

A cross-sectional study was conducted on 409 participants aged 18 years and above with type 1 or 2 diabetes who had received at least a single dose of COVID-19 vaccine.

Results

Among the 409 diabetes patients, a majority reported general mild postvaccination symptoms regardless of diabetes duration or type. After vaccination, severe diabetic emergencies were mostly reported in long-standing diabetes patients. Diabetes-related complications and emergencies were more profound among those who had received the Pfizer vaccine. Nonetheless, occurrence of adverse events could possibly be due to various factors, including the duration of diabetes and COVID-19 infection status.

Conclusion

COVID-19 vaccinations have the potential to influence diabetic patients in regard to acute glycemic complications. However, vaccine efficiency and benefits are superior to the side effects of COVID-19 vaccines, as these adverse events only affect a small number of individuals. A need for postvaccination monitoring of diabetes patients is suggested.

Mechanisms and clinical relevance of the bidirectional relationship of viral infections with metabolic diseases

Viruses have been present during all evolutionary steps on earth and have had a major effect on human history. Viral infections are still among the leading causes of death. Another public health concern is the increase of non-communicable metabolic diseases in the last four decades. In this Review, we revisit the scientific evidence supporting the presence of a strong bidirectional feedback loop between several viral infections and metabolic diseases. We discuss how viruses might lead to the development or progression of metabolic diseases and conversely, how metabolic diseases might increase the severity of a viral infection. Furthermore, we discuss the clinical relevance of the current evidence on the relationship between viral infections and metabolic disease and the present and future challenges that should be addressed by the scientific community and health authorities.

Screening compounds for treating the diabetes and COVID-19 from Miao medicine by molecular docking and bioinformatics

Both diabetes and Corona Virus Disease 2019 (COVID-19) are seriously harmful to human health, and they are closely related. It is of great significance to find drugs that can simultaneously treat diabetes and COVID-19. Based on the theory of traditional Chinese medicine for treating COVID-19, this study first sorted out the compounds of Guizhou Miao medicine with "return to the lung channel" and "clear heat and detoxify" effects in China. The active components against COVID-19 were screened by molecular docking with SARS-CoV-2 PLpro and angiotensin-converting enzyme II as targets. Furthermore, the common target dipeptidyl peptidase 4 (DPP4) of diabetes and COVID-19 was used as a screening protein, and molecular docking was used to obtain potential components for the treatment of diabetes and COVID-19. Finally, the mechanism of potential ingredients in the treatment of diabetes and COVID-19 was explored with bioinformatics. More than 80 kinds of Miao medicine were obtained, and 584 compounds were obtained. Further, 110 compounds against COVID-19 were screened, and top 6 potential ingredients for the treatment of diabetes and COVID-19 were screened, including 3-O-β-D-Xylopyranosyl-(1-6)-β-D-glucopyranosyl-(1-6)-β-D-glucopyranosyl oleanolic acid 28-O-β-D-glucopyranosyl ester, Glycyrrhizic acid, Sequoiaflavone, 2-O-Caffeoyl maslinic acid, Pholidotin, and Ambewelamide A. Bioinformatics analysis found that their mechanism of action in treating diabetes and COVID-19 may be related to regulating the expression of DPP4, angiotensin II type 1 receptor, vitamin D receptor, plasminogen, chemokine C-C-motif receptor 6, and interleukin 2. We believe that Guizhou Miao medicine is rich in potential ingredients for the treatment of diabetes and COVID-19.

Tracking Ca2+ Dynamics in NOD Mouse Islets During Spontaneous Diabetes Development

The mechanisms accounting for the functional changes of α- and β-cells over the course of type 1 diabetes (T1D) development are largely unknown. Permitted by our established technology of high spatiotemporal resolution imaging of cytosolic Ca2+ ([Ca2+]c) dynamics on fresh pancreas tissue slices, we tracked the [Ca2+]c dynamic changes, as the assessment of function, in islet α- and β-cells of female nonobese diabetic (NOD) mice during the development of spontaneous diabetes. We showed that, during the phases of islet inflammation, 8 mmol/L glucose-induced synchronized short [Ca2+]c events in β-cells were diminished, whereas long [Ca2+]c events were gradually more triggerable at substimulatory 4 and 6 mmol/L glucose. In the islet destruction phase, the synchronized short [Ca2+]c events in a subset of β-cells resumed at high glucose condition, while the long [Ca2+]c events were significantly elevated already at substimulatory glucose concentrations. In the α-cells, the glucose sensitivity of the [Ca2+]c events persisted throughout the course of T1D development. At the late islet destruction phase, the α-cell [Ca2+]c events exhibited patterns of synchronicity. Our work has uncovered windows of functional recovery in β-cells and potential α-cells functional synchronization in NOD mice over the course of T1D development.

ARTICLE HIGHLIGHTS

In NOD mice β-cells, 8 mmol/L glucose-induced synchronized short [Ca2+]c events diminish in the early phases of islet inflammation, and long Ca2+ events became more sensitive to substimulatory 4 and 6 mmol/L glucose. In the late islet destruction phase, the synchronized short [Ca2+]c events in a subset of β-cells resumed at 8 mmol/L glucose, while the long Ca2+ events were significantly elevated at substimulatory glucose concentrations. In the α-cells, the glucose sensitivity of the [Ca2+]c events persisted throughout the course of type 1 diabetes development. α-Cell [Ca2+]c events occasionally synchronize in the islets with severe β-cell destruction.

COVID-19 as a Trigger for Type 1 Diabetes

Type 1 diabetes (T1D) is usually caused by immune-mediated destruction of islet β cells, and genetic and environmental factors are thought to trigger autoimmunity. Convincing evidence indicates that viruses are associated with T1D development and progression. During the COVID-19 pandemic, cases of hyperglycemia, diabetic ketoacidosis, and new diabetes increased, suggesting that SARS-CoV-2 may be a trigger for or unmask T1D. Possible mechanisms of β-cell damage include virus-triggered cell death, immune-mediated loss of pancreatic β cells, and damage to β cells because of infection of surrounding cells. This article examines the potential pathways by which SARS-CoV-2 affects islet β cells in these 3 aspects. Specifically, we emphasize that T1D can be triggered by SARS-CoV-2 through several autoimmune mechanisms, including epitope spread, molecular mimicry, and bystander activation. Given that the development of T1D is often a chronic, long-term process, it is difficult to currently draw firm conclusions as to whether SARS-CoV-2 causes T1D. This area needs to be focused on in terms of the long-term outcomes. More in-depth and comprehensive studies with larger cohorts of patients and long-term clinical follow-ups are required.

Dissecting the Interrelationship between COVID-19 and Diabetes Mellitus

COVID-19 disease, caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has led to enormous morbidity and mortality worldwide. After gaining entry into the human host, the virus initially infects the upper and lower respiratory tract, subsequently invading multiple organs, including the pancreas. While on one hand, diabetes mellitus (DM) is a significant risk factor for severe COVID-19 infection and associated death, recent reports have shown the onset of DM in COVID-19-recovered patients. SARS-CoV-2 infiltrates the pancreatic islets and activates stress response and inflammatory signaling pathways, impairs glucose metabolism, and consequently leads to their death. Indeed, the pancreatic autopsy samples of COVID-19 patients reveal the presence of SARS-CoV-2 particles in β-cells. The current review describes how the virus enters the host cells and activates an immunological response. Further, it takes a closer look into the interrelationship between COVID-19 and DM with the aim to provide mechanistic insights into the process by which SARS-CoV-2 infects the pancreas and mediates dysfunction and death of endocrine islets. The effects of known anti-diabetic interventions for COVID-19 management are also discussed. The application of mesenchymal stem cells (MSCs) as a future therapy for pancreatic β-cells damage to reverse COVID-19-induced DM is also emphasized.

Pediatric COVID-19 and Diabetes: An Investigation into the Intersection of Two Pandemics

Coronavirus disease 2019 (COVID-19) is a complex infectious disease caused by the SARS-CoV-2 virus, and it currently represents a worldwide public health emergency. The pediatric population is less prone to develop severe COVID-19 infection, but children presenting underlying medical conditions, such as diabetes mellitus, are thought to be at increased risk of developing more severe forms of COVID-19. Diabetic children face new challenges when infected with SARS-CoV-2. On one hand, the glycemic values become substantially more difficult to manage as COVID-19 is a predisposing factor for hyperglycemia. On the other hand, alongside other risk factors, high glycemic values are incriminated in modulating immune and inflammatory responses, leading to potentially severe COVID-19 cases in the pediatric population. Also, there are hypotheses of SARS-CoV-2 being diabetogenic itself, but this information is still to be confirmed. Furthermore, it is reported that there was a noticeable increase in the number of cases of new-onset type 2 diabetes among the pediatric population, and the complications in these patients with COVID-19 include the risk of developing autoimmune diseases under the influence of stress. Additionally, children with diabetes mellitus are confronted with lifestyle changes dictated by the pandemic, which can potentially lead to the onset or exacerbation of a potential underlying anxiety disorder or depression. Since the literature contains a series of unknowns related to the impact of COVID-19 in both types of diabetes in children, the purpose of our work is to bring together the data obtained so far and to identify potential knowledge gaps and areas for future investigation regarding COVID-19 and the onset of diabetes type 1 or type 2 among the pediatric population.

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

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.

Newly detected diabetes during the COVID-19 pandemic: What have we learnt?

The SARS-CoV-2 pandemic has had an unprecedented effect on global health, mortality and healthcare provision. Diabetes has emerged as a key disease entity over the pandemic period, influencing outcomes from COVID-19 but also a tantalising hypothesis that the virus itself may be inducing diabetes. An uptick in diabetes cases over the pandemic has been noted for both type 1 diabetes (in children) and type 2 diabetes but understanding how this increase in incidence relates to the pandemic is challenging. It remains unclear whether indirect effects of the pandemic on behaviour, lifestyle and health have contributed to the increase; whether the virus itself has somehow mediated new-onset diabetes or whether other factors such as stress hyperglycaemic of steroid treatment during COVID-19 infection have played a roll. Within the myriad possibilities are some real challenges in interpreting epidemiological data, assigning diabetes type and understanding what in vitro data are telling us. In this review article we address the issue of newly-diagnosed diabetes during the pandemic, reviewing both epidemiological and basic science data and bringing together both strands of this emerging story.

Glycemic Dysregulation, Inflammation and Disease Outcomes in Patients Hospitalized with COVID-19: Beyond Diabetes and Obesity

INTRODUCTION

During the COVID-19 pandemic, diabetes mellitus (DM) and obesity were associated with high rates of morbidity and mortality. The aim of this study was to investigate the relationship between markers of inflammation, disease severity, insulin resistance, hyperglycemia, and outcomes in COVID-19 patients with and without diabetes and obesity.

MATERIALS AND METHODS

Epidemiological, clinical, and laboratory data were collected from the University Hospital of Ioannina COVID-19 Registry and included hospitalized patients from March 2020 to December 2022. The study cohort was divided into three subgroups based on the presence of DM, obesity, or the absence of both.

RESULTS

In diabetic patients, elevated CRP, IL-6, TRG/HDL-C ratio, and TyG index, severe pneumonia, and hyperglycemia were associated with extended hospitalization. Increased IL-6, NLR, and decreased PFR were associated with a higher risk of death. In the obese subgroup, lower levels of PFR were associated with longer hospitalization and a higher risk of death, while severe lung disease and hyperglycemia were associated with extended hospitalization. In patients without DM or obesity severe pneumonia, NLR, CRP, IL-6, insulin resistance indices, and hyperglycemia during hospitalization were associated with longer hospitalization.

CONCLUSION

Inflammatory markers and disease severity indices were strongly associated with disease outcomes and hyperglycemia across all subgroups.

Immunological mechanisms of increased susceptibility to COVID-19 disease and its severe course in patients with diabetes mellitus type 2 and obesity

In this review, we analyze and summarize literature data and the results of our own research related to the immunity status of patients with type 2 diabetes mellitus (T2D) and those T2D patients who were infected with the SARS-CoV-2 virus. It was shown that in the blood plasma of T2D patients, especially those with ele­vated BMI, the level and ultrastructure of the main cellular components of natural immunity – neutrophils and monocytes – were affected accompanied by high levels of proinflammatory cytokines (IL-1β, IL-6, IL-17 and TNF-α). It was suggested that the increased susceptibility of T2D patients to SARS-CoV-2 infection is primarily­ due to a weakening of the innate immune defense against pathogens, whereas in T2D patients who have COVID-19, adaptive T-cell immunity disorders accompanied by a cytokine storm prevail. It was concluded that hyperinflammation in T2D+COVID19 patients is the result of enhancement of already existing before SARS-CoV-2 infection T2D-caused disorders of innate and adaptive immunity, in the mechanism of which cytokines and chemokines play a significant role. Keywords: COVID-19, cytokines, innate and adaptive­ immunit, neutrophils, T-lymphocytes, type 2 diabetes mellitus