Aims/hypothesis Coronavirus disease-2019 (COVID-19) is a life-threatening infection caused by the severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) virus. Diabetes has rapidly emerged as a major comorbidity for COVID-19 severity. However, the phenotypic characteristics of diabetes in COVID-19 patients are unknown. Methods We conducted a nationwide multicentre observational study in people with diabetes hospitalised for COVID-19 in 53 French centres in the period 10-31 March 2020. The primary outcome combined tracheal intubation for mechanical ventilation and/or death within 7 days of admission. Age-and sex-adjusted multivariable logistic regressions were performed to assess the prognostic value of clinical and biological features with the endpoint. ORs are reported for a 1 SD increase after standardisation. Results The current analysis focused on 1317 participants: 64.9% men, mean age 69.8 ± 13.0 years, median BMI 28.4 (25th-75th percentile: 25.0-32.7) kg/m 2 ; with a predominance of type 2 diabetes (88.5%). Microvascular and macrovascular diabetic complications were found in 46.8% and 40.8% of cases, respectively. The primary outcome was encountered in 29.0% (95% CI 26.6, 31.5) of participants, while 10.6% (9.0, 12.4) died and 18.0% (16.0, 20.2) were discharged on day 7. In univariate analysis, characteristics prior to admission significantly associated with the primary outcome were sex, BMI and previous treatment with renin-angiotensin-aldosterone system (RAAS) blockers, but not age, type of diabetes, HbA 1c , diabetic complications or glucoselowering therapies. In multivariable analyses with covariates prior to admission, only BMI remained positively associated with the primary outcome (OR 1.28 [1.10, 1.47]). On admission, dyspnoea (OR 2.10 [1.31, 3.35]), as well as lymphocyte count (OR A complete list of the CORONADO trial investigators is provided in the Electronic supplementary material (ESM).
The human leukocyte antigen (HLA)-A2-restricted zinc transporter (ZnT)8186–194 and other islet epitopes elicit interferon-γ secretion by CD8+ T cells preferentially in type 1 diabetes (T1D) patients compared with controls. Here, we show that clonal ZnT8186–194-reactive CD8+ T cells express private T-cell receptors and display equivalent functional properties in T1D and healthy subjects. Ex-vivo analyses further revealed that CD8+ T cells reactive to ZnT8186–194 and other islet epitopes circulate at similar frequencies and exhibit a predominantly naïve phenotype in age-matched T1D and healthy donors. Higher frequencies of ZnT8186–194-reactive CD8+ T cells with a more antigen-experienced phenotype were detected in children vs. adults, irrespective of disease status. Moreover, some ZnT8186–194-reactive CD8+ T-cell clonotypes were found to cross-recognize a Bacteroides stercoris mimotope. While ZnT8 was poorly expressed in thymic medullary epithelial cells, variable thymic expressions levels of islet antigens did not modulate the peripheral frequency of their cognate CD8+ T cells. In contrast, ZnT8186–194-reactive cells were enriched in the pancreata of T1D donors vs. non-diabetic and type 2 diabetic controls. Thus, islet-reactive CD8+ T cells circulate in most individuals, but home to the pancreas preferentially in T1D patients. We conclude that the activation of this common islet-reactive T-cell repertoire and progression to T1D likely require defective peripheral immunoregulation and/or a pro-inflammatory islet microenvironment.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.