Genetic biomarkers of cognitive impairment and dementia of potential interest in CKD patients.
Carmine ZoccaliGiovambattista CapassoPublished in: Journal of nephrology (2024)
This review discusses genetic variants associated with cognitive dysfunction in chronic kidney disease (CKD) patients, emphasising the limited research in this area. Four studies have explored genetic markers of cognitive dysfunction in CKD, with findings suggesting shared genetic biomarkers between Alzheimer's Disease and CKD.Because of the limited specific research on genetic markers of cognitive dysfunction and dementia in CKD, we extracted data from the current literature studies on genetic markers in the general population that may be relevant to the CKD population. These markers include Apolipoprotein E (APOE), Complement Receptor 1 (CR1), Clusterin (CLU), Sortilin-related receptor 1 (SORL1), Catechol-O-methyltransferase (COMT), and Brain-derived neurotrophic factor (BDNF), all of which are known to be associated with cognitive dysfunction and dementia in other populations. These genes play various roles in lipid metabolism, inflammation, Aβ clearance, and neuronal function, making them potential candidates for studying cognitive decline in CKD patients.CKD-specific research is needed to understand the role of these genetic markers in CKD-related cognitive dysfunction. Investigating how these genes influence cognitive decline in CKD patients could provide valuable insights into early detection, targeted interventions, and personalised treatment strategies. Overall, genetic studies to enhance our understanding and management of cognitive dysfunction in CKD represent a clinical research priority in this population.
Keyphrases
- chronic kidney disease
- end stage renal disease
- cognitive decline
- mild cognitive impairment
- genome wide
- cognitive impairment
- newly diagnosed
- ejection fraction
- prognostic factors
- copy number
- type diabetes
- systematic review
- skeletal muscle
- climate change
- transcription factor
- brain injury
- deep learning
- binding protein
- subarachnoid hemorrhage
- blood brain barrier
- bioinformatics analysis