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Fifty years of basic and clinical renal stone research: have we achieved major breakthroughs? A debate
Allen Rodgers1, Alberto Trinchieri2
1Department of Chemistry, University of Cape Town, Cape Town, South Africa.
Purpose Of Review:
After 50 years of basic and clinical renal stone research, it is appropriate to evaluate whether breakthroughs have been achieved and if so, how they may be harnessed to combat stone disease therapeutically and prophylactically.
Recent Findings:
Regarding stone therapeutics and prophylaxis, recent innovative studies are sparse. Researchers have resorted to publishing articles derived from data mining. Stone incidence and prevalence have increased during the past 50 years, suggesting the absence of any major breakthroughs. However, new sciences and technologies have created fresh opportunities. Information technology stores huge epidemiological databases leading to identification of new risk factors. Genetic coding has prompted identification of monogenic diseases associated with urolithiasis. Genome-wide association studies in combination with epigenomics, transcriptomics, proteomics, and metabolomics are providing new insights. High-throughput and culture-independent techniques promise to define the impact of microbiome on stone formation while artificial intelligent techniques contribute to diagnosis and prediction of treatment outcomes. These technologies, as well as those which are advancing surgical treatment of stones represent major breakthroughs in stone research.
Summary:
Although efforts to cure stones have not yielded major breakthroughs, technological advances have improved surgical management of this disease and represent significant headway in applied stone research.
Insights
Despite limited therapeutic breakthroughs in kidney stone disease over 50 years, new technologies offer novel approaches. Advances in surgical management and data analysis are improving treatment and prevention strategies for urolithiasis.
Area of Science:
- Urology
- Nephrology
- Medical Informatics
Background:
- Renal stone research has spanned 50 years with limited therapeutic breakthroughs.
- Stone incidence and prevalence have paradoxically increased, indicating a need for novel strategies.
Approach:
- Leveraging information technology for large-scale epidemiological data analysis to identify novel risk factors.
- Utilizing genetic coding and genome-wide association studies (GWAS) to understand monogenic diseases and urolithiasis.
- Integrating multi-omics approaches (epigenomics, transcriptomics, proteomics, metabolomics) for deeper insights into stone formation.
- Employing high-throughput, culture-independent techniques to investigate the role of the microbiome.
- Applying artificial intelligence (AI) for improved diagnosis and treatment outcome prediction.
Key Points:
- Recent therapeutic and prophylactic studies for kidney stones are sparse, with a rise in data mining publications.
- Technological advancements are creating new opportunities for understanding and managing urolithiasis.
- Identification of new risk factors, genetic predispositions, and the impact of the microbiome are emerging areas of research.
Conclusions:
- While cures for kidney stones remain elusive, significant progress has been made in surgical management.
- Technological innovations represent major breakthroughs in applied stone research, offering hope for improved patient outcomes.
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