Fourteen plasma metabolites, including 11 glycerophospholipids, were significantly associated with eGFR slope in patients with diabetic kidney disease across all adjusted models.
Does higher interstitial palladin expression predict kidney events in patients with diabetic kidney disease?
Higher interstitial palladin expression correlates with reduced eGFR, increased fibrosis, and a significantly higher risk of kidney events in patients with diabetic kidney disease.
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toxic intermediates that cause cellular dysfunction and lipoapoptosis.It is an important mechanism that warrants studies.We aim to identify plasma metabolomics associated with estimated glomerular filtration rate (eGFR) decline in DKD.Methods: 227 patients were recruited from National University Hospital, Singapore.Patients were followed for three years with data captured via medical records.Blood samples were collected at baseline and 6-monthly for metabolomics and proteonomics profiling respectively.Baseline and subsequent eGFR were measured using the Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equation.eGFR slope was calculated using linear mixed effected model.Three models of linear regression were performed, with adjustment for various covariates.The first model adjusted for age, gender, ethnicity, body mass index (BMI), duration of diabetes, systolic blood pressure and baseline eGFR.The second and third models additionally adjusted for HbA1c and urine albumin-creatinine ratio respectively.Categorical and continuous variables were compared using Chi-square and Welch Ttest.Results: Mean cohort age was 61.8 years.62.9% were male.62.4% were Chinese.Mean HbA1c was 7.9%.Mean urine albumin-creatinine ratio (uACR) was 121 mg/mmol.Mean baseline eGFR was 41 ml/min/ 1.73m2.Mean eGFR slope was -3.05 ml/min/1.73m2.The cohort was separated into controls and rapid progressors (defined as eGFR slope 60ml/min/1.73m2,wherein our cohort involved patients with more advanced chronic kidney disease.Further trials in larger cohorts may be considered to explore relationships between acylcarnitines, glycerolipids and sphingolipids with DKD, and evaluate potential therapeutic targets in phospholipid metabolism.I have no potential conflict of interest to disclose.I did not use generative AI and AI-assisted technologies in the writing process.
Yamamoto et al. (Wed,) reported a other. Fourteen plasma metabolites, including 11 glycerophospholipids, were significantly associated with eGFR slope in patients with diabetic kidney disease across all adjusted models.