Unknown

Dataset Information

0

Potential for Novel Biomarkers in Diabetes-Associated Chronic Kidney Disease: Epigenome, Metabolome, and Gut Microbiome.


ABSTRACT: Diabetes-associated chronic kidney disease is a pandemic issue. Despite the global increase in the number of individuals with this chronic condition together with increasing morbidity and mortality, there are currently only limited therapeutic options to slow disease progression. One of the reasons for this is that the current-day "gold standard" biomarkers lack adequate sensitivity and specificity to detect early diabetic chronic kidney disease (CKD). This review focuses on the rapidly evolving areas of epigenetics, metabolomics, and the gut microbiome as potential sources of novel biomarkers in diabetes-associated CKD and discusses their relevance to clinical practice. However, it also highlights the problems associated with many studies within these three areas-namely, the lack of adequately powered longitudinal studies, and the lack of reproducibility of results which impede biomarker development and clinical validation in this complex and susceptible population.

SUBMITTER: Lecamwasam A 

PROVIDER: S-EPMC7555227 | biostudies-literature | 2020 Sep

REPOSITORIES: biostudies-literature

altmetric image

Publications

Potential for Novel Biomarkers in Diabetes-Associated Chronic Kidney Disease: Epigenome, Metabolome, and Gut Microbiome.

Lecamwasam Ashani A   Ekinci Elif I EI   Saffery Richard R   Dwyer Karen M KM  

Biomedicines 20200910 9


Diabetes-associated chronic kidney disease is a pandemic issue. Despite the global increase in the number of individuals with this chronic condition together with increasing morbidity and mortality, there are currently only limited therapeutic options to slow disease progression. One of the reasons for this is that the current-day "gold standard" biomarkers lack adequate sensitivity and specificity to detect early diabetic chronic kidney disease (CKD). This review focuses on the rapidly evolving  ...[more]

Similar Datasets

| S-EPMC8270075 | biostudies-literature
| S-EPMC10312025 | biostudies-literature
| S-EPMC5086447 | biostudies-literature
| S-EPMC8529068 | biostudies-literature
| S-EPMC7824346 | biostudies-literature
| S-EPMC7578882 | biostudies-literature
| S-EPMC9127389 | biostudies-literature
| S-EPMC6710987 | biostudies-literature
| S-EPMC7676259 | biostudies-literature
| S-EPMC7269359 | biostudies-literature