The Relationship between Type 1 Diabetes Mellitus, TNF-α, and IL-10 Gene Expression

Biomedicines, Journal Year: 2023, Volume and Issue: 11(4), P. 1120 - 1120

Published: April 7, 2023

Type 1 diabetes mellitus (T1DM) is one of the major chronic diseases in children worldwide. This study aimed to investigate interleukin-10 (IL-10) gene expression and tumor necrosis factor-alpha (TNF-α) T1DM. A total 107 patients were included, 15 T1DM ketoacidosis, 30 had HbA1c ≥ 8%; 32 presented < controls. The peripheral blood mononuclear cells was performed using reverse transcriptase-polymerase chain reaction real time. cytokines higher with IL-10 increased substantially there a positive correlation HbA1c. negative found for age diabetes, time diagnosis disease. There between TNF-α age. genes showed significant increase DM1 patients. Once current treatment based on exogenous insulin, need other therapies, inflammatory biomarkers could bring new possibilities therapeutic approach

Language: Английский

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COVID-19-Induced Diabetes Mellitus: Comprehensive Cellular and Molecular Mechanistic Insights

Pathophysiology, Journal Year: 2024, Volume and Issue: 31(2), P. 197 - 209

Published: April 8, 2024

Despite evidence demonstrating the risks of developing diabetes mellitus because SARS-CoV-2, there is, however, insufficient scientific data available to elucidate relationship between and COVID-19. Research indicates that SARS-CoV-2 infection is associated with persistent damage organ systems due systemic inflammatory response. Since COVID-19 known induce these conditions, further investigation necessary fully understand its long-term effects on human health. Consequently, it essential consider effect pandemic when predicting prevalence in future, especially since incidence was already rise before pandemic. Additional research required comprehend impact glucose tolerance insulin sensitivity. Therefore, this article delves deeper into current literature links perceived diabetes. In addition, highlights necessity for grasp mechanisms utilises new-onset Where understanding consensus are reached, therapeutic interventions prevent onset could be proposed. Lastly, we propose advocating regular screening pre-diabetes, particularly high-risk population a history infection.

Language: Английский

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Effect of Comorbidities on the Mortality of Patients With COVID‐19: A Systematic Review of Reviews and Meta‐Analyses

Reviews in Medical Virology, Journal Year: 2025, Volume and Issue: 35(2)

Published: March 1, 2025

ABSTRACT Studies with strong scientific evidence have demonstrated that comorbidities are associated fatal outcomes in patients SARS‐CoV‐2 infection. To aggregate the findings of these studies and assess magnitude effect different chronic diseases on COVID‐19 mortality, we conducted a systematic review reviews meta‐analysis. Six databases were searched to retrieve meta‐analysis published during early years pandemic. Statistical analysis was performed using Stata v.12.0 software, risk ratio (RR) odds (OR), confidence interval 95% (95% CI), calculated. We selected 15 publications 476 original articles 2,135,888 patients. Our results indicated following factors for mortality: diabetes mellitus (RR = 1.95; CI:1.41–2.49); hypertension 1.88; CI:1.51–2.26); cancer 1.84; CI:1.24–2.43); cardiovascular 2.14; CI:1.66–2.63), cerebrovascular 2.43; CI:2.15–2.72), kidney 2.39; CI:1.36–3.42), pulmonary 1.98; CI:1.48–2.47) liver (OR 1.56; CI:1.18–1.94); obesity 1.15; CI:1.04–1.26); smoking habits 1.18; CI:1.13–1.22); male sex 1.69; CI:1.65–1.73). Evidence has confirmed underlying conditions, which involve an imbalance immune response, significantly increase deaths.

Language: Английский

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Assessment of COVID-19 risk factors of early and long-term mortality with prediction models of clinical and laboratory variables

BMC Infectious Diseases, Journal Year: 2024, Volume and Issue: 24(1)

Published: July 9, 2024

Abstract Background Coronavirus disease (COVID-19) may lead to serious complications and increased mortality. The outcomes of patients who survive the early period are burdened with persistent long-term symptoms morbidity aim our study was determine which baseline parameters provide best prediction outcomes. Methods group comprised 141 hospitalized for COVID-19. Demographic data, clinical data laboratory were collected. main endpoints defined as in-hospital mortality 1-year associations between evaluated. Prediction models created. Results rate 20.5% ( n = 29). Compared survivors, nonsurvivors significantly older p 0.001) presented comorbidities, including diabetes (0.027) atrial fibrillation 0.006). Assessment markers time death revealed negative correlations higher IL-6 levels 0.032; Spearman rho − 0.398) lower lymphocyte counts 0.018; Pearson r -0.438). one-year 35.5% 50). nonsurvivor subgroup < had more arterial hypertension 0.009), 0.023), 0.046) active malignancy 0.024) than did survivor subgroup. model composed count highest value risk prediction. Conclusions Diabetes fibrillation, factors, LDH, count, determinants, predictors COVID-19 risk.

Language: Английский

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FEATURES OF COVID-19 IN PATIENTS WITH DIABETES MELLITUS

Eastern Ukrainian Medical Journal, Journal Year: 2024, Volume and Issue: 12(3), P. 660 - 669

Published: Jan. 1, 2024

Introduction: Diabetes mellitus and COVID-19 are nosologies that pose new challenges in the field of medicine, after their combination, have already outlined importance potentially large impact on health people around world. Each these pathologies individually has a significant lives well-being patients, together they create complex conditions for medical practice healthcare organization. The study mutual influence diabetes clinical picture, features course, diagnosis treatment patients is great relevance both scientific community applied practical its continuation expansion public need. Materials Methods: А total 53 with were examined. Their records reviewed. To assess parameters, epidemiological data, physical psycho-emotional state author's own questionnaire "Form Communication-1" was created used. Based data obtained, statistical indicators calculated: Pearson's test qualitative indicators, Mann-Whitney U used as non-parametric analysis method, Student's t-test values corresponded to normality distribution, respectively. Results: Patients divided into two groups: (20 37.7%) without this pathology (comparison group) (33 62.3%). Most those studied women (57%), aged (59.2 ± 12.5) years. hospitalized days 4-5 disease. Among concomitant pathologies, arterial hypertension coronary heart disease more frequently detected group (85% each), comparison (55% 52%, respectively (p < 0.05). coronavirus began acutely chills fever up (38.3±0.18) °C. Generalized weakness experienced by 96 % patients. complaints group, ague %) hoarseness voice (52 prevailed Severe observed 85% mellitus, - 33% On contrary, moderate severity (64 patients) blood glucose level setting type 2 (9.9 6.8) mmol/L higher than (5.8 1.4) mmol/L, indicating hyperglycemia due impaired tolerance Conclusions: Women (57%) middle age years) predominate among predominates mellitus. picture not significantly different compared groups, but laboratory (elevated C-reactive protein, changes platelet size, elevated levels alanine aminotransferase, aspartate gamma-glutamyl transpeptidase, urea, creatinine), objective symptoms (changes general condition, severe auscultatory abnormalities) indicate pronounced SARS-CoV-2 induces metabolism contributes COVID-19, which turn leads hypercytokinemia, cytokine storm, tissue airway damage.

Language: Английский

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Gender differences in comorbidities of patients with COVID-19: An Italian local register-based analysis

Heliyon, Journal Year: 2023, Volume and Issue: 9(7), P. e18109 - e18109

Published: July 1, 2023

In the current COVID-19 pandemic scenario, it is still necessary to understand if differences exist between genders in terms of patients' characteristics and clinical outcomes. For this reason, we retrospectively analyzed data obtained from a local register-based dataset all SARS-CoV-2 positive patients diagnosed province Catania (Italy). The main aim analysis was any distribution previous medical conditions, evaluate which them posed individuals at higher risk death.With purpose, 1424 with least one underlying condition, who were tested for infection February 2020 December 2021. Overall, males 59.5% total population significantly younger than females (median ages: 68 years vs. 72 years; p = 0.011). age cases by gender confirms that 70 79 most affected both genders. comparison comorbidities shows significant diabetes (p < 0.001), other metabolic diseases 0.006), obesity 0.019). Accordingly, multivariable logistic regression confirmed more likely be present while less 0.003 0.005, respectively). Although no difference mortality evident 0.141), male female had death they such as CVDs, kidney diseases, or chronic neurological diseases. Moreover, respiratory factors among men, whereas cancer contributor women. Our findings confirm gender-differences pre-existing conditions patients, may influence death. Further studies, however, are needed physiological pathological mechanisms underpinning these differences.

Language: Английский

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COVID-19 Outcomes and Diabetes Mellitus: A Comprehensive Multicenter Prospective Cohort Study

Microorganisms, Journal Year: 2023, Volume and Issue: 11(6), P. 1416 - 1416

Published: May 27, 2023

The link between type 2 diabetes (T2D) and the severe outcomes of COVID-19 has raised concerns about optimal management patients with T2D. This study aimed to investigate clinical characteristics T2D hospitalized explore potential associations chronic treatments adverse outcomes. was a multicenter prospective cohort in Greece during third wave pandemic (February–June 2021). Among 354 included this study, 63 (18.6%) died hospitalization, 16.4% required ICU admission. use DPP4 inhibitors for associated an increased risk in-hospital death (adjusted odds ratio (adj. OR) 2.639, 95% confidence interval (CI) 1.148–6.068, p = 0.022), admission OR 2.524, CI: 1.217–5.232, 0.013), progression ARDS 2.507, 1.278–4.916, 0.007). Furthermore, significantly thromboembolic events 2.249, 1.073–4.713, 0.032) hospitalization. These findings highlight importance considering impact treatment regiments on need further studies elucidate underlying mechanisms.

Language: Английский

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

Diabetes Research and Clinical Practice, Journal Year: 2023, Volume and Issue: 204, P. 110896 - 110896

Published: Sept. 6, 2023

Language: Английский

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A Critical Review on the Long-term COVID-19 Impacts on Patients with Diabetes

The American Journal of Medicine, Journal Year: 2024, Volume and Issue: unknown

Published: March 1, 2024

Language: Английский

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COVID-19 and Diabetes: An Epidemiologic Overview

Pediatric Annals, Journal Year: 2024, Volume and Issue: 53(7)

Published: July 1, 2024

Language: Английский

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