Submitted:
28 May 2025
Posted:
29 May 2025
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Abstract
Keywords:
1. Introduction
2. Before Insulin: Diabetes in Antiquity and the Pre-modern Era
3. The Insulin Revolution: From Fatal Diagnosis to a Chronic Condition (1921–1950)
4. Heterogeneity and the Pre-Autoimmune Puzzle (1950–1970)
5. The Autoimune Paradigm Shift (1971–1976)
6. Consolidating Autoimmunity: From Experimental Models to Human Trials (1980–2000)
7. The Immunological Turn of the 21st Century: Biomarkers, Therapies, and Prevention (2000–2024)
8. The Contribution of Dismantled Immune Pathogenetic Concepts to the Diagnosis of T1DM: From Urine Testing to Seroimmunological and Biomolecular Analyses
9. Conclusion
10. Epistemological Reflections on Paradigm Shifts in T1DM
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| Period | Diagnostic Method | Key Features / Milestones |
|---|---|---|
| Antiquity – 19th c. | Symptom-based observation | Diagnosis based on polyuria, weight loss, and “sweet-tasting” urine (e.g., ants attracted to urine). |
| Early 20th c. | Benedict’s and Fehling’s tests | Semi-quantitative detection of glycosuria; basic chemical assays for reducing sugars. |
| 1921–1923 | Discovery of insulin | Introduction of insulin therapy; stimulated need for more accurate diagnostic tools. |
| 1940s–1960s | Blood glucose measurement | Use of colorimetric methods and enzymatic assays (e.g., glucose oxidase) in clinical practice. |
| 1970s | C-peptide and insulin assays | Enabled discrimination between T1DM and T2DM; highlighted β-cell function status. |
| Late 1970s–1980s | Islet cell autoantibodies (ICA) | First immunological biomarker of T1DM; foundation for autoimmune profiling. |
| 1980s–1990s | Anti-insulin, anti-GAD, anti-IA-2 autoantibodies | Expanded autoantibody panel; allowed risk stratification in at-risk individuals. |
| 1990s–2000s | HLA class II haplotype analysis | Genetic screening tools (e.g., DR3-DQ2/DR4-DQ8) identified high-risk genotypes. |
| 2000s–2010s | ZnT8 autoantibodies; multiplex autoantibody assays | Improved sensitivity and specificity of early diagnosis and screening programs. |
| 2010s–Present | Metabolomics and immune-cell profiling | Identification of pre-autoimmune metabolic signatures and autoreactive T-cell assays. |
| Present – Future | Multi-omics, AI-driven predictive algorithms | Integration of genomics, proteomics, and machine learning for personalized risk prediction. |
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