Kidney stones are an emerging worldwide health issue, with rising prevalence attributed to metabolic diseases like diabetes and obesity. Current studies indicate a complex interaction between cardiometabolic index (CMI) and kidney stones, which may be mediated by diabetes. This article examines the inverted L-shaped relationship between CMI and kidney stones, with a focus on diabetes as a mediator. Elucidation of these interactions can enhance risk stratification and inform early interventions to avoid kidney stone development in high-risk individuals.
Kidney stones, or nephrolithiasis, are hard deposits of minerals and salts that develop inside the urinary system, and they afflict millions globally. The pathophysiology of kidney stones is complex and multifactorial, and metabolic, dietary, and genetic factors have an important role. There is mounting evidence indicating that there is a strong association between metabolic syndrome (MetS) and kidney stones, with diabetes being the prime mediator for this association. Cardiometabolic index (CMI), a composite indicator of metabolic health, has recently emerged as a potential risk predictor for kidney stones. The underlying nature of the association between CMI and kidney stones is unclear. This article explores how diabetes shapes this association, resulting in an inverted L-shaped relationship.
CMI is a new index that combines body mass index (BMI) and triglyceride-to-high-density lipoprotein (TG/HDL) ratio, providing an overall evaluation of metabolic health. In contrast to conventional markers like BMI or waist circumference, CMI offers more profound insights into visceral fat accumulation and insulin resistance. Increased values of CMI are typically related to metabolic disorders, such as diabetes, cardiovascular disease, and chronic kidney disease.
Kidney stone formation is modulated by several metabolic disturbances, including insulin resistance, hyperuricemia, and abnormal urinary excretion of calcium and oxalate. The components of the metabolic syndrome, i.e., obesity, hypertension, and dyslipidemia, enhance the risk of developing kidney stones. Insulin resistance has been reported to enhance urinary excretion of calcium and uric acid, creating a prostone environment. In addition, chronic inflammation and oxidative stress, which are typical in metabolic syndrome, may play a role in the pathogenesis of kidney stones.
Recent epidemiological studies suggest a non-linear, inverted L-shaped relationship between CMI and kidney stones. This implies that kidney stone risk initially decreases with increasing CMI but rises sharply beyond a critical threshold. This paradoxical association suggests a complex interplay between metabolic health and lithogenic risk.
Low CMI and Reduced Risk: Individuals with lower CMI values, indicative of optimal metabolic health, exhibit a lower likelihood of kidney stone formation due to balanced urinary electrolyte composition and minimal metabolic disturbances.
Moderate CMI and Protective Effect: A moderate increase in CMI, reflecting mild metabolic alterations, may still confer some protective effects by enhancing insulin sensitivity and preserving renal function.
High CMI and Increased Risk: Beyond a certain CMI threshold, the risk of kidney stones increases significantly due to worsening metabolic dysfunction, insulin resistance, and hypercalciuria.
Diabetes, a hallmark of metabolic syndrome, plays a crucial role in mediating the CMI-kidney stone relationship. Several mechanisms explain this mediation:
Hyperglycemia and Urinary Composition: Chronic hyperglycemia in diabetes alters urinary pH and increases the excretion of calcium, oxalate, and uric acid, thereby facilitating stone formation.
Insulin Resistance and Lithogenesis: Insulin resistance, a key feature of type 2 diabetes, reduces renal ammonium production, leading to acidification of urine and a greater propensity for uric acid stone formation.
Oxidative Stress and Inflammation: Diabetes promotes chronic inflammation and oxidative stress, contributing to kidney injury and stone formation.
Gut Microbiome Alterations: Emerging research suggests that diabetes-related changes in gut microbiota influence oxalate metabolism, potentially affecting kidney stone risk.
Understanding the intricate relationship between CMI, diabetes, and kidney stones has significant clinical implications:
Early Risk Stratification: CMI can serve as a valuable tool for identifying individuals at high risk of developing kidney stones, particularly those with diabetes.
Targeted Interventions: Addressing metabolic dysfunction through lifestyle modifications, glycemic control, and lipid management may help reduce kidney stone incidence.
Personalized Dietary Recommendations: Given the role of hyperglycemia and insulin resistance in stone formation, personalized dietary interventions focusing on reducing oxalate-rich foods and optimizing hydration may be beneficial.
More studies are required to further develop the CMI-kidney stone risk model and create evidence-based interventions. Longitudinal research must examine the effect of CMI modification on the prevention of kidney stones, while mechanistic research can clarify the specific pathways by which diabetes mediates lithogenesis. Furthermore, investigating new therapeutic targets, including gut microbiome modulation, could provide potential strategies for kidney stone prevention in metabolically disturbed patients.
The relationship between kidney stones and cardiometabolic index is inverted U-shaped, where diabetes acts centrally as a mediating factor. Moderate levels of CMI potentially have some benefits, but a high value in CMI very substantially increases kidney stone risk on account of compounding metabolic maladies. Awareness that diabetes has a mediating function points the way toward intense metabolic control aimed at lessening the burden of kidney stones. By utilizing CMI as an anticipatory predictor, clinicians have better opportunities to recognize individuals with heightened risk status and initiate on-time interventions toward renal and metabolic well-being outcomes.
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