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Updated: Feb 13, 2026

A Zebrafish Model of Diabetes Mellitus and Metabolic Memory
Published on: February 28, 2013
Immune cell and cytokine patterns in children with type 1 diabetes mellitus undergoing a remission phase: A
Ana Laura Fitas1, Catarina Martins2, Luís Miguel Borrego2
1Paediatric Endocrinology Unit, Hospital de Dona Estefânia, Centro Hospitalar de Lisboa Central, Lisbon, Portugal.
Insights
Type 1 diabetes (T1D) progression involves dynamic immune cell changes. Specific immune patterns and cytokine responses correlate with metabolic markers, aiding in T1D staging and personalized treatment strategies.
Area of Science:
- Immunology
- Endocrinology
- Pediatrics
Background:
- Type 1 diabetes (T1D) progresses through distinct stages.
- Understanding the immunologic patterns during T1D progression is crucial.
- Immune cell dynamics in T1D remission are not fully understood.
Purpose of the Study:
- To identify peripheral immune cell patterns at key time-points in children with T1D.
- To analyze immune cell variations during T1D onset, remission, and established disease.
- To correlate immune profiles with metabolic markers in T1D.
Main Methods:
- Longitudinal study of 28 children with T1D and healthy controls.
- Flow cytometry analysis of peripheral blood at onset, remission, and established disease.
- Measurement of cytokines, fasting C-peptide, HbA1c, and 25OHD.
Main Results:
- T1D children showed differences in neutrophils, T helper (Th)17, and natural killer (NK) cells compared to controls.
- Neutrophils, NK, Th17, and T cytotoxic (Tc)17 cells decreased at onset, with neutrophils recovering later.
- Low cytokine responders had higher C-peptide and longer remission periods, with C-peptide inversely correlating with inflammatory cells.
Conclusions:
- Immune cell dynamics and cytokine patterns are associated with metabolic markers in T1D.
- Dynamic changes involve innate and adaptive immune cells, offering insights into T1D progression.
- Longitudinal immune profiling can facilitate disease staging and personalized T1D treatment.
Objective:
Type 1 diabetes (T1D) develops in distinct stages, before and after disease onset. Whether the natural course translates into different immunologic patterns is still uncertain. This study aimed at identifying peripheral immune patterns at key time-points, in T1D children undergoing remission phase.
Methods:
Children with new-onset T1D and healthy age and gender-matched controls were recruited at a pediatric hospital. Peripheral blood samples were evaluated by flow cytometry at 3 longitudinal time-points: onset (T1), remission phase (T2) and established disease (T3). Cytokine levels were quantified by multiplex assay. Fasting C-peptide, HbA1c, and 25OHD were also measured.
Results:
T1D children (n = 28; 10.0 ± 2.6 years) showed significant differences from controls in circulating neutrophils, T helper (Th)17 and natural killer (NK) cells, with relevant variations during disease progression. At onset, neutrophils, NK, Th17 and T cytotoxic (Tc)17 cells were decreased. As disease progressed, neutrophil counts recovered whereas NK counts remained low. Th17 and Tc17 cells behavior followed the neutrophil variation pattern. B-cells were lowest in the remission phase and regulatory T-cells significantly declined after remission. Two cytokine response profiles were identified. Low cytokine-responders showed higher circulating fasting C-peptide levels at onset and longer remission periods. C-peptide inversely correlated with pro-inflammatory and cytotoxic cells.
Conclusions:
Our data suggest an association between immune cells, cytokine patterns and metabolic counterparts. The dynamic changes of circulating immune cells during disease progression involve key innate and acquired immune cell types. This longitudinal picture of T1D progression may enable disease staging and patient stratification, essential for individualized treatment.
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