US Edition
New form of type 1 diabetes identified in Black patients
SUB-SAHARAN AFRICA, JUL 24 – A study of 894 African youth found 65% diagnosed with type 1 diabetes lacked autoimmune markers, indicating a non-immune diabetes subtype needing tailored treatment.
- Published in The Lancet Diabetes and Endocrinology today, an international team identified a non-autoimmune form of type 1 diabetes in children and young adults across Cameroon, Uganda and South Africa.
- Because 65% of participants lacked islet autoantibodies, the research challenges the autoimmune assumption underlying classic type 1 diabetes.
- Using consistent lab tests and genetic tools across three African countries, the study found 15% of Black Americans exhibited the same non-autoimmune diabetes subtype.
- Dana Dabelea said `This suggests that many young people in this region have a different form of T1D altogether and is not autoimmune in origin,` and these findings could change how diabetes is diagnosed, treated and managed across the region.
- Researchers say this discovery could change how type 1 diabetes is diagnosed and managed in individuals of African descent, and Dana Dabelea notes `The identification of this T1D diabetes subtype … suggests a potential ancestral or genetic link.
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Many people in sub-Saharan Africa are diagnosed with type 1 diabetes, but apparently suffer from a previously unknown subtype of the disease.
Black Children at Risk of Misdiagnosis Due to Undiscovered Diabetes Subtype
Researchers have detected a previously unrecognized diabetes in children and young adults in Sub-Saharan Africa, highlighting the risk that many patients may not be receiving the most effective treatment. The study, published in The Lancet Diabetes & Endocrinology with funding from the UK’s National Institute for Health and Care Research (NIHR), brings a significant shift […] The post Black Children at Risk of Misdiagnosis Due to Undiscovered Di…
Coverage Details
Total News Sources22
Leaning Left5Leaning Right2Center5Last UpdatedBias Distribution42% Left, 42% Center
Bias Distribution
- 42% of the sources lean Left, 42% of the sources are Center
42% Center
L 42%
C 42%
R 17%
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