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Updated: Mar 13, 2026

A High-Throughput Multiplexed Screening for Type 1 Diabetes, Celiac Diseases, and COVID-19
Published on: July 5, 2022
Reclassification of asymptomatic beta cell autoimmunity: a critical perspective
Mikael Knip1,2,3,4, Jenni Selvenius5, Heli Siljander6,7
1Children's Hospital, University of Helsinki and Helsinki University Hospital, P.O. Box 22 (Stenbäckinkatu 11), 00014, Helsinki, Finland. mikael.knip@helsinki.fi.
Type 1 diabetes autoimmunity can be detected before symptoms appear. However, labeling asymptomatic children as patients may harm them psychologically; combining immune and metabolic markers offers a better prediction of disease progression.
Area of Science:
- Immunology
- Endocrinology
- Pediatrics
Background:
- Type 1 diabetes is an immune-mediated disease causing beta cell destruction and insulin dependency.
- A preclinical, asymptomatic period precedes clinical type 1 diabetes onset, marked by autoantibodies.
- The duration of this preclinical period varies significantly among individuals.
Purpose of the Study:
- To evaluate the proposal of classifying asymptomatic beta cell autoimmunity as a distinct pathological and diagnostic entity.
- To discuss the potential benefits and significant drawbacks of diagnosing preclinical type 1 diabetes.
- To explore alternative approaches for predicting disease progression.
Main Methods:
- Review of existing literature and a proposed diagnostic strategy.
- Analysis of the timing of autoantibody emergence and clinical symptom onset.
- Consideration of psychological and familial impacts of early diagnosis.
Main Results:
- Classifying asymptomatic autoimmunity as a disease entity has potential benefits but also serious psychological drawbacks for affected children and families.
- Current diagnostic approaches may lead to prolonged periods of uncertainty or delayed intervention.
- Metabolic abnormalities appear before clinical symptoms, offering a potential window for prediction.
Conclusions:
- Labeling asymptomatic children as patients requires careful consideration of psychological consequences.
- A combined analysis of immunological and metabolic markers may offer a more accurate prediction of type 1 diabetes progression.
- This approach could shorten the preclinical 'sickness' period and improve patient outcomes.
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