IL-1β Implications in Type 1 Diabetes Mellitus Progression: Systematic Review and Meta-Analysis.
Fátima Cano-CanoLaura Gómez-JaramilloPablo Ramos-GarcíaAna I ArrobaManuel Aguilar-DiosdadoPublished in: Journal of clinical medicine (2022)
During Type 1 Diabetes Mellitus (T1DM) progression, there is chronic and low-grade inflammation that could be related to the evolution of the disease. We carried out a systematic review and meta-analysis to evaluate whether peripheral levels of pro-inflammatory markers such as interleukin-1 beta (IL-1β) is significantly different among patients with or without T1DM, in gender, management of the T1DM, detection in several biological fluids, study design, age range, and glycated hemoglobin. We searched PubMed, Embase, Web of Science, and Scopus databases, and 26 relevant studies (2186 with T1DM, 2047 controls) were included. We evaluated the studies' quality using the Newcastle-Ottawa scale. Meta-analyses were conducted, and heterogeneity and publication bias were examined. Compared with controls, IL-1β determined by immunoassays (pooled standardized mean difference (SMD): 2.45, 95% CI = 1.73 to 3.17; p < 0.001) was significantly elevated in T1DM. The compared IL-1β levels in patients <18 years (SMD = 2.81, 95% CI = 1.88-3.74) was significantly elevated. The hemoglobin-glycated (Hbg) levels in patients <18 years were compared (Hbg > 7: SMD = 5.43, 95% CI = 3.31-7.56; p = 0.001). Compared with the study design, IL-1β evaluated by ELISA (pooled SMD = 3.29, 95% CI = 2.27 to 4.30, p < 0.001) was significantly elevated in T1DM patients. IL-1β remained significantly higher in patients with a worse management of T1DM and in the early stage of T1DM. IL-1β levels determine the inflammatory environment during T1DM.
Keyphrases
- glycemic control
- low grade
- early stage
- end stage renal disease
- systematic review
- oxidative stress
- cardiovascular disease
- chronic kidney disease
- high grade
- ejection fraction
- mental health
- public health
- peritoneal dialysis
- machine learning
- type diabetes
- single cell
- lymph node
- adipose tissue
- meta analyses
- metabolic syndrome
- deep learning
- quantum dots
- anti inflammatory
- locally advanced