Media ReleaseFrom: The Lancet
Researchers propose five distinct types of adult-onset diabetes
Separating adult-onset diabetes cases into five different types, rather than just type 1 or type 2, might help to better tailor early treatment for patients, and could represent a first step towards precision medicine in the disease, according to an analysis of patients with adult-onset diabetes in Sweden and Finland published in The Lancet Diabetes & Endocrinology journal.
The five types of the disease found in the study had different characteristics and were associated with different complications, illustrating the varied treatment needs of patients with diabetes.
Rates of diabetes are increasing worldwide, faster than for any other disorders, representing a significant cause of ill health worldwide. However, the medical classification of diabetes has not been updated for 20 years and mainly relies on measuring blood glucose levels.
While type 1 diabetes is generally diagnosed in childhood and caused by the body not producing enough insulin, type 2 diabetes occurs when the body cannot produce enough insulin to meet the increased demands imposed by obesity and insulin resistance, and typically occurs later in life. Most diagnosed cases of diabetes are type 2 (75-85%), and while it is known that type 2 diabetes is highly variable, few attempts have been made to explore these distinctions.
“Evidence suggests that early treatment for diabetes is crucial to prevent life-shortening complications. More accurately diagnosing diabetes could give us valuable insights into how it will develop over time, allowing us to predict and treat complications before they develop,” says lead author of the study Professor Leif Groop, Lund University Diabetes Centre (LUDC), Sweden, and Institute for Molecular Medicine Finland (FIMM). “Existing treatment guidelines are limited by the fact they respond to poor metabolic control when it has developed, but do not have the means to predict which patients will need intensified treatment. This study moves us towards a more clinically useful diagnosis, and represents an important step towards precision medicine in diabetes.” 
The study used four cohort studies including people over the age of 18 years who had been recently diagnosed with diabetes, totalling 14775 patients across Sweden and Finland. The authors analysed six measurements used to monitor patients with diabetes that reflect key aspects of the disease (age at diagnosis, body mass index [BMI], long-term glycaemic control [HbA1c], successful functioning of the insulin-producing cells in the pancreas, insulin resistance, and presence of auto-antibodies associated with autoimmune diabetes). They also did genetic analyses, and compared disease progression, treatment, and development of diabetic complications for each type of diabetes.
Analysing the six measures in a cohort of 8980 adults at first, the authors identified one autoimmune type of diabetes and four distinct subtypes of type 2 diabetes, which they then tested across three more cohorts of patients consisting of 5795 people. They found that the five different disease profiles were also present in these patients.
These types of diabetes were distinct, and included three severe and two mild forms of the disease .
Among the severe forms, there was one group with severe insulin resistance and a significantly higher risk of kidney disease than the other types (cluster 3/severe insulin-resistant diabetes, affecting 11-17% of patients), and a group of relatively young, insulin-deficient individuals with poor metabolic control but no auto-antibodies (cluster 2/severe insulin-deficient diabetes, affecting 9-20%).
The other severe group were insulin-deficient patients who had auto-antibodies associated with autoimmune diabetes (cluster 1/severe autoimmune diabetes, affecting around 6-15%), a form of diabetes formerly called type 1 diabetes, or latent autoimmune diabetes in adults (LADA).
The most common form of the disease was one of the more moderate forms of diabetes, which was seen in elderly people and affected 39-47% of patients (cluster 5, or mild age-related diabetes). The other mild form of diabetes (cluster 4, or mild obesity-related diabetes) was mainly seen in obese individuals and affected 18-23% of patients.
All five types of diabetes were also genetically distinct, with no mutations associated with all types of the disease. This supports the idea that the five types of diabetes are not simply different stages of the same disease.
Lastly, the authors looked at the types of treatments being given to each group of patients and found that many were not being given appropriate treatment. For example, a low proportion of patients in clusters 1 and 2 were being treated with insulin from disease onset (42%, 212/506 patients, and 29%, 389/1339 patients, respectively), suggesting that traditional classification of diabetes is unable to tailor treatment to the underlying characteristics of diabetes.
The authors note some limitations, including that the study cannot confirm that the five types of adult-onset diabetes have different causes, nor whether patients’ type of disease changes over time. The study only involved Scandinavian patients, so will need to be confirmed in other populations.
Future research will be needed to test and refine the five types of the disease by including biomarkers, genotypes, genetic risk scores, blood pressure and blood lipids.
Writing in a linked Comment, Dr Rob Sladek, McGill University and Génome Québec Innovation Centre, Canada, says: “Diabetes is a group of chronic metabolic disorders that share the common feature of hyperglycaemia, meaning that, in principle, diabetes can be diagnosed via measurement of a single blood component. However, elevations in blood glucose can be caused by a number of genetic and acquired factors that reduce the circulating concentrations of insulin or decrease its effectiveness, leading to heterogeneity in the clinical presentation and progression of the disease… In providing information about disease prognosis, Ahlqvist and colleagues extend earlier studies that used combinations of genetic risk scores, clustering, and regression analysis to identify subtypes of type 2 diabetes on the basis of clinical and genetic parameters.”
NOTES TO EDITORS
This study was funded by the Swedish Research Council, European Research Council, Vinnova, Academy of Finland, Novo Nordisk Foundation, Vasa Hospital district, Scania University Hospital, Sigrid Juselius foundation, European Union (IMI2), Swedish Foundation for Strategic Research, Jakobstadsnejden Heart Foundation, Folkhälsan Research Foundation, and Ollqvist Foundation. It was conducted by researchers from Lund University, Skåne University Hospital, Vaasa Central Hospital, Vaasa Health Care Center, Uppsala University, Lund University Hospital, Folkhälsan Research Center, Helsinki University Central Hospital, University of Helsinki, University of Gothenburg.
 Quote direct from author and cannot be found in the text of the Article.
 Cluster 1 = severe autoimmune diabetes, cluster 2 = severe insulin-deficient diabetes, cluster 3 = severe insulin-resistant diabetes, cluster 4 = mild obesity-related diabetes, cluster 5 = mild age-related diabetes.]