Genomic profiling of interferon signaling pathway gene mutations in type 2 diabetic individuals with COVID-19 DOI Creative Commons
Tuncay Tuluk, Teoman Kankılıç, İlkay CİVELEK

et al.

Turkish Journal of Biochemistry, Journal Year: 2024, Volume and Issue: 50(1), P. 80 - 88

Published: Dec. 30, 2024

Abstract Objectives Comorbidities, especially diabetes, significantly contribute to the mortality and morbidity of COVID-19. Studies indicate higher rates among diabetic COVID-19 patients compared general population. However, precise mechanisms underlying this immune response remain incompletely understood. Our study aimed explore potential disparities in prognosis type 2 investigate genomic-level relationship between key proteins interferon signaling pathway: IFNAR1, IFNAR2, IRF3 , IRF7. Methods Mutation/polymorphism analysis was conducted identify mutations polymorphisms group. Predictive assessments mutation pathogenicity were performed using PolyPhen-2 bioinformatics tool, while STRING network enhanced our understanding functional protein relationships cellular processes. Results We detected 10 (3 missense, intronic, indel, 1 nonsense, regulatory, frameshift mutation), all documented Human Gene Mutation Database. PolyPhen2 flagged three missense nonsense as pathogens. The found no consistent trend across genes. IFNAR2 IRF7 genes decreased disease severity lessened both patient control groups. Diabetic Covid-19 exhibited IRF3, non-diabetic controls, suggesting that Type might be more susceptible genetic when infected with Conclusions Understanding these profiles could improve assessments, enhance preventive measures, aid developing effective treatment strategies for coronaviral syndromes severe acute respiratory infections.

Language: Английский

Prognostic Utility of dNLR, ALRI, APRI, and SII in COVID-19 Patients with Diabetes: A Cross-Sectional Study DOI Creative Commons
Alexandra-Ioana Dănilă,

Flavius Cioca,

Sai Teja Gadde

et al.

Diagnostics, Journal Year: 2024, Volume and Issue: 14(15), P. 1685 - 1685

Published: Aug. 4, 2024

The coronavirus disease 2019 (COVID-19) pandemic has necessitated the identification of biomarkers that can predict severity, particularly in vulnerable populations such as individuals with diabetes. This study aims to evaluate predictive value inflammatory and liver function markers, specifically derived Neutrophil Lymphocyte Ratio (dNLR), aspartate aminotransferase (AST)-to-lymphocyte ratio (ALRI), AST Platelet Index (APRI), Systemic Inflammation (SII), COVID-19 patients without cross-sectional included 336 participants, comprising 168 diabetes matched without, based on gender, body mass index (BMI), severity at hospitalization. was conducted Victor Babes Hospital for Infectious Diseases Pulmonology from January 2021 December 2023. All participants had a confirmed SARS-CoV-2 infection met inclusion criteria being 18 years or older type 1 2 per American Diabetes Association guidelines. At 3 days post symptom onset, significant differences markers were observed between two groups. dNLR, ALRI, APRI, SII notably higher diabetic patients. dNLR cutoff 2.685, sensitivity specificity 70.312% 65.978%, respectively, an AUC 0.624 (

Language: Английский

Citations

1

Evaluating the Utility of Clinical Scores APACHE, CURB, SOFA, and NEWS2 at Admission and 5-Days after Symptom Onset in Predicting Severe COVID-19 in Patients with Diabetes DOI Open Access
Radu Ion,

Jaya Shankar Sai Kumar Kimidi,

Chaitanya Kalapala

et al.

Journal of Personalized Medicine, Journal Year: 2024, Volume and Issue: 14(8), P. 868 - 868

Published: Aug. 16, 2024

The elevated risk of severe COVID-19 outcomes in patients with diabetes underscores the need for effective predictive tools. This study aimed to assess accuracy APACHE II, CURB-65, SOFA, and NEWS2 scores at critical time points diabetic diagnosed COVID-19, aiming guide early potentially life-saving interventions. In a prospective cohort conducted from January 2021 December 2023, adult type 1 or 2 confirmed SARS-CoV-2 infection were evaluated. Clinical calculated admission five days post-symptom onset, data analyzed using receiver operating characteristic (ROC) curves logistic regression determine areas under curve (AUC) hazard ratios (HR) outcomes. Among 141 studied, ROC analysis revealed high AUC values SOFA (0.771 admission, 0.873 day five) (0.892 0.729 five), indicating strong these scores. II score's improved 0.698 0.806 on five, reflecting worsening patient conditions. Regression showed significant HRs associated exceeding threshold scores: score HR was 3.07 (95% CI: 2.29-4.12,

Language: Английский

Citations

1

Elevated risk of pre-diabetes and diabetes in people with past history of COVID-19 in northeastern Nigeria DOI Creative Commons
Roland I. Stephen, Jennifer Tyndall,

Hsing-Yu Hsu

et al.

BMC Public Health, Journal Year: 2024, Volume and Issue: 24(1)

Published: Sept. 12, 2024

An increased risk of diabetes mellitus (DM) after COVID-19 has been reported in the United States, Europe, and Asia. The burden COVID-related DM yet to be described Africa, where overall increasing rapidly. Our objective was compare prevalence pre-DM Nigerian individuals with a history without known infection.

Language: Английский

Citations

1

КОРОНАВІРУСНА ХВОРОБА У ПАЦІЄНТІВ ІЗ РИЗИКОМ ВИНИКНЕННЯ ТЯЖКОГО ТА УСКЛАДНЕНОГО ПЕРЕБІГУ DOI
Oleksandra Pryshliak, Ihor H. Hryzhak, Zoriana Tylishchak

et al.

Інфекційні хвороби, Journal Year: 2024, Volume and Issue: 4, P. 4 - 13

Published: Dec. 17, 2024

Проблеми перебігу інфекційних хвороб на тлі супутньої патології вже багато років цікавлять науковців і клініцистів. Колектив кафедри Івано-Франківського національного медичного університету вивчає вплив коморбідних станів перебіг інфекційного процесу та інфекційної хвороби стан коморбідної патології. Фундатором цієї ідеї був доктор медичних наук, професор, завідувач епідеміології (1991–2013 рр.) Богдан Миколайович Дикий. За було вивчено вагомі клініко-лабораторні, патогенетичні терапевтичні аспекти вірусних гепатитів, кишкових інфекцій, лептоспірозу, ВІЛ-інфекції, деяких респіраторних паразитозів супутніх доведено ризики, які ведуть до тяжкого (чи ускладненого) як хвороби, так дестабілізації Викликом для усього людства була поява в 2019 р. нового штаму коронавірусів SARS-CoV-2. Хоча коронавірусна хвороба тепер перейшла розряд сезонних захворювань, однак вона зберігає значний потенціал викликати тяжкі ускладнені) форми недуги, а часом з летальним вислідом. У комплексному дослідженні ми вивчали коронавірусної у пацієнтів із фоновим цукровим діабетом, хронічною серцево-судинною патологією. Було деякі COVID-19 вагітних. ході виконання роботи встановлено механізми ускладненого хвороби: при цукровому діабеті 2-го типу однією важливих ланок патогенетичних порушень є ендотелійна дисфункція зміни мікросудинному руслі; такі фактори хронічна серцева недостатність, зменшення фракції викиду, міокарда різних типів, легенева гіпертензія, – мають несприятливе прогностичне значення. Щодо вагітних, то попри підвищення рівнів D-димерів, вагітність не самостійним чинником ризику (за винятком ожиріння, наявного цукрового діабету, хронічної серцево-судинної іншої вагітної). публікацію включено результати досліджень, фрагментом комплексної «Перебіг захворювань патології, поєднаних хронічних інфекцій інвазій, корекція лікування», державним фінансуванням, номер державної реєстрації: 0119U100571, терміни виконання: 2021-2023 рр.

Citations

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Temporal analysis of hospitalizations for Diabetes Mellitus in Brazil and its relationship with COVID-19: ecological study DOI Creative Commons
Amanda Chabrour Chehadi,

Beatriz da Silva Morandi,

Gelma Maria Jerônymo Vieira Neves

et al.

Contribuciones a las Ciencias Sociales, Journal Year: 2024, Volume and Issue: 17(2), P. e4078 - e4078

Published: Feb. 9, 2024

Diabetes mellitus (DM) is a condition resulting from changes in cartilage or the effect of insulin, chronic hyperglycemia. In diabetic patients, presence COVID-19 increases rates serious complications and there greater risk mortality. To analyze phenotypic characteristics hospitalizations mortality due to DM Brazil through epidemiological data their relationship with COVID-19. This an observational, descriptive, cross-sectional, quantitative retrospective study; carried out analysis secondary on for DM, Information Technology Department Unified Health System (DataSUS) period 2018 2022 Brazil. Variables year service, region, race/color, age group sex were considered. present analysis, MT Southeast Northeast regions terms gender distribution, highest prevalence males (51.05%), but lower than females (2.69 x 2.84), population aged between 50 over. 80 years old higher percentages international TM. Finally, it clear that Brown race required more (41.68%), while Black was associated rates. study, possible patients influence prognosis, providing basis further research aim analyzing mechanisms lead aspects

Language: Английский

Citations

0

Herbal-based therapeutics for diabetic patients with SARS-Cov-2 infection DOI
Yousef Rasmi,

Ighli di Bari,

Shah Faisal

et al.

Molecular Biology Reports, Journal Year: 2024, Volume and Issue: 51(1)

Published: Feb. 20, 2024

Language: Английский

Citations

0

The prevalence of pre-diabetes and diabetes in people with and without past history of COVID-19 in northeastern Nigeria DOI Creative Commons
Roland I. Stephen,

Jennifer Tyndal,

Vivian Hsu

et al.

Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown

Published: March 11, 2024

Abstract Background An increased risk of diabetes mellitus (DM) after COVID-19 has been reported in the United States, Europe, and Asia. The burden COVID-related DM not described Africa, where overall increasing rapidly. Our objective was to compare prevalence pre-DM Nigerian individuals with a history without known infection. Methods We identified 256 past medical no or pre-DM/DM. Participants were categorized as (fasting capillary glucose 100–125 mg/dL) ≥ 126 mg/dL). used multivariate multinomial logistic regression determine odds those adjustment for age, gender, presence hypertension, physical activity, central adiposity, family DM. Results Compared control group, had similar median age (38 vs 40 years, p = 0.84), higher proportion men (63% 49%), lower adiposity (waist: hip ratio 0.90 males WHR 0.85 females) (48% 56.3%, 0.06). Of COVID-19, 44 (17%) required inpatient care. (interquartile range) time interval between diagnosis glycaemic assessment 19 (14, 24) months. Pre-DM 27% post-COVID-19 group 4% whereas 7% 2% group. After multivariable adjustment, 8.12 (95% confidence (CI): 33.98, 16.58; < 0.001) higher, 3.97 CI: 1.16, 13.63) compared controls. Conclusion Previous found be factor prevalent pre-diabetes Nigeria. More intensive screening should considered.

Language: Английский

Citations

0

Predictive value of admission D-dimer levels in patient with acute ischaemic stroke and COVID-19: a second-wave prospective cohort study DOI Creative Commons
Al Rasyid, Salim Harris, Mohammad Kurniawan

et al.

BMJ Open, Journal Year: 2024, Volume and Issue: 14(4), P. e077500 - e077500

Published: April 1, 2024

Objectives This study aimed to evaluate the predictive value of admission D-dimer levels for in-hospital mortality in patients with COVID-19 and acute ischaemic stroke. Design Cohort (prospective). Setting Tertiary referral hospital capital city Indonesia conducted from June December 2021. Participants 60 stroke were included. Patients classified into groups (low high) according a 2 110 ng/mL cut-off value, determined via receiver operating characteristic analysis. Primary secondary outcome measures The primary was mortality, as major predictor. Secondary outcomes included associations between other demographic clinical variables value. Kaplan-Meier method used carry out survival analysis, univariable multivariable Cox regression performed assess association confounding (including demographic, laboratory parameters) mortality. Results findings demonstrated an elevated (≥2 ng/mL) increased likelihood death during hospitalisation. adjusted HR 14.054 (95% CI 1.710 115.519; p=0.014), demonstrating increase risk after accounting confounders such age diabetes history. Other significant predictors history white blood cell count. Conclusions Admission may be useful indicator hospitalisation individuals

Language: Английский

Citations

0

The Diagnostic and Predictive Role of Neutrophil-Lymphocyte Ratio, Lymphocyte-Monocyte Ratio, Platelet-Lymphocyte Ratio and C-Reactive Protein in Diabetic and Nondiabetic COVID-19 Patients DOI Open Access
Raneem O. Salem, Ayesha Nuzhat, Majd Aldeen Kallash

et al.

Journal of Endocrinology and Metabolism, Journal Year: 2024, Volume and Issue: 14(2), P. 71 - 77

Published: April 1, 2024

Background: Coronavirus disease 2019 (COVID-19) infection is more severe in diabetic cases due to abnormality hematological and inflammatory markers. This study was conducted determine the values of neutrophil-lymphocyte ratio (NLR), lymphocyte-monocyte (LMR), platelet-lymphocyte (PLR) C-reactive protein COVID-19 nondiabetic patients, with a specific focus on associating these markers severity mortality. Methods: A descriptive done by collecting laboratory parameters patients (n = 123) 124) retrospectively at King Fahad Medical City, Saudi Arabia. Results: Compared nondiabetics, diabetes were older, their mean white blood cells (9.16; 8.22), monocytes (7.68; 7.08), eosinophils high (0.69; 0.26), lymphocytes low (17.65; 18.77). The NLR, LMR, PLR, D-dimer higher, statistical significance for NLR (P 0.05) PLR 0.005). Diabetic had longer hospital stay (17 days), higher intensive care admissions (28.5%), mortality rate (11.4%). percentage comorbidities higher. Multinomial logistic regression analysis performed controlling age sex, we obtained odds several factors. association not statistically significant. Conclusions: results from this research identified that protein, than patients. J Endocrinol Metab. 2024;14(2):71-77 doi: https://doi.org/10.14740/jem934

Language: Английский

Citations

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Epidemiological profile of patients diagnosed with covid-19 in the municipality of Sao Goncalo, Rio de Janeiro, Brazil DOI Creative Commons
Raphael Rangel das Chagas, Hércules Rezende Freitas, Sergian Vianna Cardozo

et al.

medRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: Sept. 9, 2024

Abstract Objectives The global health crisis caused by SARS-CoV-2 has led to over 760 million confirmed cases and 6.8 deaths worldwide, primarily impacting the respiratory system with symptoms varying from mild severe. This study aimed analyze interplay between vaccination status, sociodemographic profiles, comorbidities, COVID-19 outcomes. Study Design Observational, cross-sectional, analytical. Methods analyzed data 6,953 individuals, examining statuses, test results, other relevant variables. cohort comprised predominantly mixed-race (51%), Caucasian (38%), Black (9.5%) 61% being female 60% aged 21-50 years. Prevalent comorbidities included hypertension (18.2%), diabetes (4.9%), obesity (0.4%). Results Population-weighted analysis revealed significant associations factors Younger age groups, particularly 11-30 years, had higher positivity rates, which declined age. Caucasians exhibited rates (40.1%) compared ethnicities. Cramér’s V indicated small correlations outcomes, notably loss of taste (V = 0.11) smell 0.08). Odds ratio identified as significantly associated (OR 1.54, 95% CI: 1.28-1.83, p < 0.001), while was lower 0.13, 0.02-0.63, 0.025). Symptoms such fever, cough, taste, smell, myalgia also showed positive Conclusions provides valuable insights into complex characteristics, symptoms,

Language: Английский

Citations

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