Predictive value of urinary micro-cholesterol (mCHO) levels in patients with progressive glomerular disease

Identification of a Non-Invasive Urinary Exosomal Biomarker for Diabetic Nephropathy Using Data-Independent Acquisition Proteomics

Diabetic nephropathy (DN), as the one of most common complications of diabetes, is generally diagnosed based on a longstanding duration, albuminuria, and decreased kidney function. Some patients with the comorbidities of diabetes and other primary renal diseases have similar clinical features to DN, which is defined as non-diabetic renal disease (NDRD). It is necessary to distinguish between DN and NDRD, considering they differ in their pathological characteristics, treatment regimes, and prognosis. Renal biopsy provides a gold standard; however, it is difficult for this to be conducted in all patients. Therefore, it is necessary to discover non-invasive biomarkers that can distinguish between DN and NDRD. In this research, the urinary exosomes were isolated from the midstream morning urine based on ultracentrifugation combined with 0.22 μm membrane filtration. Data-independent acquisition-based quantitative proteomics were used to define the proteome profile of urinary exosomes from DN (n = 12) and NDRD (n = 15) patients diagnosed with renal biopsy and Type 2 diabetes mellitus (T2DM) patients without renal damage (n = 9), as well as healthy people (n = 12). In each sample, 3372 ± 722.1 proteins were identified on average. We isolated 371 urinary exosome proteins that were significantly and differentially expressed between DN and NDRD patients, and bioinformatic analysis revealed them to be mainly enriched in the immune and metabolic pathways. The use of least absolute shrinkage and selection operator (LASSO) logistic regression further identified phytanoyl-CoA dioxygenase domain containing 1 (PHYHD1) as the differential diagnostic biomarker, the efficacy of which was verified with another cohort including eight DN patients, five NDRD patients, seven T2DM patients, and nine healthy people. Additionally, a concentration above 1.203 μg/L was established for DN based on the ELISA method. Furthermore, of the 19 significantly different expressed urinary exosome proteins selected by using the protein-protein interaction network and LASSO logistic regression, 13 of them were significantly related to clinical indicators that could reflect the level of renal function and hyperglycemic management.

Improvement of LXR-mediated lipid metabolism in nephrotic model kidney accompanied by suppression of inflammation and fibrosis

Kidney disease affects millions of people worldwide. Chronic kidney diseases, such as diabetic nephropathy, are often accompanied by nephrotic syndrome, which causes a large amount of protein and lipid to leak out into the urine. Leaked lipids are well known to accumulate in the proximal tubules as lipid droplets. However, the role of lipid metabolism in the kidney has not been thoroughly studied, and the relationship between accumulated lipid and pathological progression is often unknown. In this study, we showed that reducing accumulated lipids by exerting an agonistic effect on Liver X receptor, one of the nuclear receptors known to play an important role in lipid metabolism, suppressed the development of pathological conditions, such as inflammation and fibrosis, in a nephrosis model. Until now, many renal disease treatments have focused on suppressing the inflammatory response. However, it is now clear that even if the direct anti-inflammatory response is weak, the spread of inflammation and fibrosis can be suppressed by reducing accumulated lipids. Our results suggest that reducing abnormal lipid accumulation in the kidney could lead to disease treatment.

Absolute quantification of cholesteryl esters using liquid chromatography-tandem mass spectrometry uncovers novel diagnostic potential of urinary sediment

BACKGROUND

Urine has been utilized as a source of biomarkers in renal disease. However, urinary lipids have not attracted much attention so far. Here we studied urinary cholesteryl ester (CE) and its relevance in renal disease.

METHODS

Quantitative analysis of CE molecular species in serum, urinary supernatant, and urinary sediment from patients with renal disease (N=64) and non-renal disease (N=23) was carried out using liquid chromatography-tandem mass spectrometry (LC-MS/MS) and deuterated CEs as internal standards.

RESULTS

Validation study showed good precision and accuracy of LC-MS/MS. Many CE species were detected in the urinary sediment and supernatant in the renal disease group, whereas only a few CE species were detected in the other group. In the renal disease group, the sum of the concentrations of all CE species showed a significant correlation between the sediment and the supernatant from urinary samples (r=0.876, p<0.001); however, the composition of CEs was significantly different between them. Further, the composition of CEs of the supernatant was similar to that of the serum.

CONCLUSIONS

Our LC-MS/MS analysis uncovered a distinct CE profile in urinary sediment from patients with renal disease, suggesting a possible contribution of CEs in urothelial cells to the development of renal disease.

The value of IgG-uria in predicting renal failure in idiopathic glomerular diseases. A long-term follow-up study

BACKGROUND

Proteinuria is the hallmark of glomerular disease and non-selective proteinuria is often associated with progression to renal failure. The predictive value of urine IgG excretion was studied comprehensively in patients with nephrotic syndrome. In the present follow-up study, we examine the predictive value of IgG-uria in patients with idiopathic glomerular diseases with a wide range of proteinuia.

METHODS

A total of 189 (113 males and 76 females) patients with idiopathic glomerulonephritis and serum creatinine of less than 150 μmol/L diagnosed between 1993 and 2004 were followed up to their last visit in 2009. Measurement of urine excretion of albumin, IgG, and protein HC were performed in the early morning of spot urine samples collected at the time of the diagnostic renal biopsy. Patients were stratified according to urine protein concentrations and the progression rate to end-stage renal disease (ESRD) calculated using Kaplan-Meier survival analysis. ESRD was defined as the start of renal replacement therapy.

RESULTS

During the study follow-up time of 1429 person-years; 26 (13.8%) patients reached ESRD. The overall mean kidney survival time of studied patients with serum creatinine less than 150 were 13.4 years. The incidence rate of ESRD was ∼18 per 1000 person-years. Stratified analysis identified urinary excretion of IgG, but not albuminuria, as predictor of ESRD. The progression rate to ESRD was 36 per 1000 person-years in patients with urine IgG concentration exceeding 5 mg/mmol urine creatinine, compared to a progression rate of 6/1000 person-years for patients with lower levels of urine IgG.

CONCLUSION

The findings of the study suggest that at early stages, the level of IgG-uria is useful to be used in risk stratification of patients with proteinuric glomerular diseases.

Early diagnosis of acute kidney injury

There is a considerable lack of data concerning the diagnostic testing for kidney damage after surgical procedures. In this situation the most important variables should be examined with respect to their clinical informative value, the costs associated with their analysis, and their potential use in routine diagnostic testing. Forty patients in the surgical intensive care unit (ICU) with acute kidney injury (AKI) that developed during their stay of 13–18 (median, 16) days in the ICU were examined daily during their entire ICU admission. The bulk of the laboratory research consisted of the measurement of creatinine, urea, and sodium, as well as clearances rates and diuresis. Various tests for diagnosing regional renal damage (enzymes and proteins) were also carried out. The included photometry, nephelometric analysis, and ELISA (enzyme-linked immunosorbent assay). Five days before an AKI became evident, pathologic levels of urinary α1-microglobulin (tubular parameter) could already be confirmed. Serum creatinine values or creatinine clearance indicated the presence of disease only 1 day before the AKI was seen. Our results show that determination of α1-microglobulin and immunoglobulin G (glomerular parameter) levels, in addition to the level of urea in serum, be recommended for patients in surgical intensive care units who are at risk for AKI. Use of these procedures can achieve early recognition and sufficiently precise localization of renal damage.