Understanding Metabolic Alterations in Advanced Stage Chronic Kidney Disease Patients by NMR-based metabolomics
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Understanding metabolic alterations in CKD is crucial, as serum creatinine-based diagnosis lacks precision, affecting key clinical decisions. In this study, a 1H NMR-based metabolomics approach was employed to distinguish between advanced-stage CKD (ASCKD) patients and healthy controls (HC), as well as within the ASCKD stages (Stage 4 and Stage 5). Serum samples from 52 ASCKD (S4, S5) and 25 HC were analyzed. Multivariate and univariate analysis revealed distinct metabolic patterns across groups, providing insights into CKD pathophysiology and associated pathway alterations. Compared to HC, six metabolites were significantly altered in both stage 4 and 5 CKD patients with upregulated creatinine, urea, myoinositol, choline, N, N-dimethylglycine, and downregulated tyrosine, showing potential as biomarkers with AUC above 0.8 in ROC analysis. Additionally, myo-inositol, dimethylamine, N, N-dimethylglycine, and choline correlate positively with creatinine while tyrosine correlates negatively. Amino acid metabolism was downregulated in S5 indicating more severity. Within ASCKD patients, significant alterations were observed in metabolites such as glutamate, glutamine, alanine, threonine, myo-inositol, dimethylamine, citrulline, urea, citrate, and betaine. Pathway analysis identified five distinct metabolic pathways associated with CKD progression. Consequently, we propose a panel of serum metabolites as an alternative diagnostic marker of CKD progression. Markers of oxidative stress, inflammation, and gut dysbiosis were evident in the perturbed metabolic profile due to the systemic impact of CKD.
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References
- 1. Eknoyan, Garabed, et al. "KDIGO 2012 clinical practice guideline for the evaluation and management of chronic kidney disease." Kidney int 3.1 (2013): 5-14.
- 2. Horio, Masaru, et al. "Performance of GFR equations in Japanese subjects." Clinical and experimental nephrology 17 (2013): 352-358
- 3. Jessani, Saleem, et al. "Estimation of GFR in South Asians: a study from the general population in Pakistan." American journal of kidney diseases 63.1 (2014): 49-58.
- 4. Xie, D. et al. A comparison of change in measured and estimated glomerular filtration rate in patients with nondiabetic kidney disease. Clin. J. Am. Soc. Nephrol. 3, 1332–1338 (2008
- 5. Barroso, S., Martinez, J. M., Martin, M. V., Rayo, I. & Caravaca, F. Accuracy of indirect estimates of renal function in advanced chronic renal failure patients. Nefrologia 26, 344–350 (2006).