ArticleFrontiers in immunology2022
Combined unsupervised and semi-automated supervised analysis of flow cytometry data reveals cellular fingerprint associated with newly diagnosed pediatric type 1 diabetes.
Article in Frontiers in immunology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.
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Who cites it
9 citing papers in PubMed, 1 synthesis or guideline pooled it, 12 citations in OpenAlex.
- Clinical parameters and emerging biomarkers of partial remission in pediatric type 1 diabetes: a systematic review.Frontiers in endocrinology · 2026Pooled it
- Type 1 Diabetes and Other Autoimmune Diseases-Epidemiology, Pathophysiology and Screening.Endocrinology, diabetes & metabolism · 2026Review
- Children With Celiac Disease Have a Higher Degree of Activated or Exhausted CD4Scandinavian journal of immunology · 2025Article
- A multi-omics integration approach relying on circulating factors does not discern subtypes of childhood type 1 diabetes.Communications medicine · 2025Article
- AI-assisted peripheral immune profiling reveals unconventional lymphocyte signatures associated with prognosis in soft tissue sarcoma patients.Frontiers in immunology · 2025Article
- Approaches to Measuring Beta Cell Reserve and Defining Partial Clinical Remission in Paediatric Type 1 Diabetes.Children (Basel, Switzerland) · 2024Review
- HOMA-IR and the Matsuda Index as predictors of progression to type 1 diabetes in autoantibody-positive relatives.Diabetologia · 2024Article
- Human immune phenotyping reveals accelerated aging in type 1 diabetes.JCI insight · 2023Article
- Autoimmune polyglandular syndrome type 4: experience from a single reference center.Frontiers in endocrinology · 2023Observational
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Authors and funding
22 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
An unbiased and replicable profiling of type 1 diabetes (T1D)-specific circulating immunome at disease onset has yet to be identified due to experimental and patient selection limitations. Multicolor flow cytometry was performed on whole blood from a pediatric cohort of 107 patients with new-onset T1D, 85 relatives of T1D patients with 0-1 islet autoantibodies (pre-T1D_LR), 58 patients with celiac disease or autoimmune thyroiditis (CD_THY) and 76 healthy controls (HC). Unsupervised clustering of flow cytometry data, validated by a semi-automated gating strategy, confirmed previous findings showing selective increase of naïve CD4 T cells and plasmacytoid DCs, and revealed a decrease in CD56
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