Pathophysiology of type 2 diabetes in sub-Saharan Africans.
Julia H GoedeckeAmy E MendhamPublished in: Diabetologia (2022)
Sub-Saharan Africa (SSA) is the region with the highest projected rates of increase in type 2 diabetes (129% by 2045), which will exacerbate the already high prevalence of type 2 diabetes complications and comorbidities in SSA. In addition, SSA is grappling with poverty-related health problems and infectious diseases and is also undergoing the most rapid rates of urbanisation globally. These socioenvironmental and lifestyle factors may interact with genetic factors to alter the pathophysiological sequence leading to type 2 diabetes in sub-Saharan African populations. Indeed, current evidence from SSA and the diaspora suggests that the pathophysiology of type 2 diabetes in Black Africans is different from that in their European counterparts. Studies from the diaspora suggest that insulin clearance is the primary defect underlying the development of type 2 diabetes. We propose that, among Black Africans from SSA, hyperinsulinaemia due to a combination of both increased insulin secretion and reduced hepatic insulin clearance is the primary defect, which promotes obesity and insulin resistance, exacerbating the hyperinsulinaemia and eventually leading to beta cell failure and type 2 diabetes. Nonetheless, the current understanding of the pathogenesis of type 2 diabetes and the clinical guidelines for preventing and managing the disease are largely based on studies including participants of predominately White European ancestry. In this review, we summarise the existing knowledge base and data from the only non-pharmacological intervention that explores the pathophysiology of type 2 diabetes in SSA. We also highlight factors that may influence the pathogenesis of type 2 diabetes in SSA, such as social determinants, infectious diseases and genetic and epigenetic influences.
Keyphrases
- type diabetes
- infectious diseases
- insulin resistance
- glycemic control
- healthcare
- mental health
- cardiovascular disease
- metabolic syndrome
- public health
- weight loss
- risk factors
- dna methylation
- high fat diet
- adipose tissue
- randomized controlled trial
- gene expression
- clinical practice
- genome wide
- cell therapy
- high fat diet induced
- climate change
- electronic health record
- case control
- deep learning
- body mass index
- skeletal muscle
- amino acid
- artificial intelligence
- risk assessment
- mesenchymal stem cells
- big data
- health information
- weight gain