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Type 2 diabetes mellitus is a progressive disease requiring regular monitoring and therapeutic changes. It is important that healthcare professionals embrace both ends of the spectrum of therapeutic inertia, including appropriate advancement and de-intensification of therapies.
Artificial intelligence has already revolutionized various fields in medicine and research. Due to the complex and interconnected nature of the endocrine system, it is an ideal area to further exploit and maximize the potential benefits of artificial intelligence.
The path to becoming a clinical academic researcher is arduous and convoluted, with many hurdles. A good mentor is key to growth and development, not only as one embarks on the journey, but also as a ‘sounding board’ throughout one’s career.
Type 1 diabetes mellitus (T1DM) can be predicted, and immune therapy can alter the progression of the disease. The FDA’s approval of teplizumab as the first disease-modifying therapy for T1DM and the first therapy aimed at delaying the clinical onset of any immune-mediated disease represents a paradigm shift in the treatment of T1DM.
In 1923, Kimball and Murlin published work that identified a substance in pancreatic extracts that caused hyperglycaemia, which they named glucagon. A century later, we now know the importance of this hormone in human physiology and disease, and drugs targeting the glucagon receptor family have been developed to treat metabolic diseases.
Adipose tissue is a complex organ that has crucial endocrine and metabolic functions in mammalian physiology. A new Article Series aims to collate adipose tissue content from Nature Reviews Endocrinology and provide a useful resource for researchers working in this field.