Lipidomics reveals association of circulating lipids with body mass index and outcomes in IgA nephropathy patients.

IgA nephropathy (IgAN) is a leading cause of chronic kidney disease (CKD), which are commonly accompanied by dyslipidemia. Obesity is also associated with dyslipidemia and risk of CKD, but the relation of the dyslipidemia patterns with obesity and disease progression in IgAN patients remains unknown. Traditional Chinese medicine (TCM) and the combined treatment with corticosteroids and TCM have been shown to be of benefit for IgAN patients, but predictive markers for guiding these treatments are lacking. Here, we quantified 545 lipid species in the plasma from 196 participants, including 140 IgAN patients and 56 healthy volunteers, and revealed an altered plasma lipidome in IgAN patients as compared to healthy participants. Association analysis showed that a sub-group of glycerides, particularly triacylglycerols (TGs) containing docosahexaenoic acid, were positively associated with high body mass index (BMI) in under- or normal weight IgAN patients, while several free fatty acids and sphingomyelins were positively associated with high BMI in overweight or obese IgAN patients. Further, our study suggested that elevated levels of eight lipids, mainly TG species containing linolenic acid, were independent risk factors for IgAN progression and also reported the prospective association of circulating lipids with treatment outcomes in IgAN. Taken together, our findings may not only help to achieve precision medicine but also provide a knowledge base for dietary intervention in the treatment of IgAN.

Traditional Chinese Medicine as an adjunct therapy in the treatment of idiopathic membranous nephropathy: A systematic review and meta-analysis.

BACKGROUND: Idiopathic membranous nephropathy (IMN) is one of the most common causes of nephrotic syndrome in adults involving multiple targets and factors. The effect of conservative nonimmunosuppressive or immunosuppressive therapies is unsatisfactory and with many side effects. Traditional Chinese medicine (TCM) can regulate immune function and improve kidney function. PURPOSE: To evaluate the total effective rate, curative rate, recurrence rate and adverse events of TCM alone or TCM as an adjunctive therapy for IMN. METHODS: Randomized controlled trials (RCT) comparing either TCM alone or the combination of TCM to western medicine (WM) therapies for patients with IMN were retrieved by searching English and Chinese database. Risk of bias summary was used to assess the methodological quality of eligible studies. Dichotomous data were presented using odds ratios (OR). The primary outcome measure was the total effective rate. Secondary outcomes included curative rate, recurrence rate and adverse events. RESULTS: 29 RCTs involving 1883 participants met the inclusion criteria. There was no statistically significant difference between the therapy of TCM alone and WM on the total effective rates (OR: 2.00; 95% CI: 0.80-4.98; P = 0.14) and curative rate (OR: 1.66; 95%CI: 0.66-4.22; p = 0.28). However, compared to basic treatment or immunosuppressive therapies alone, results showed that TCM as an adjunctive therapy had beneficial effects on the total effective rate (OR: 2.59; 95% CI: 1.38-4.86; P = 0.003 and OR: 3.01; 95% CI: 2.25-4.04; P < 0.00001) and curative rate (OR: 3.01; 95%CI: 1.24-7.28; p = 0.01 and OR: 1.73; 95%CI: 1.10-2.71; p = 0.02). In addition, the combination of TCM treatment could reduce the recurrence rate (OR: 0.28; 95% CI: 0.12-0.68; P = 0.004) and adverse reactions (OR: 0.38; 95% CI: 0.27-0.54; p < 0.00001). CONCLUSION: The results indicate that TCM is well-tolerated for the treatment of IMN. However, there remains a need for large-scale and high-quality trials.

Plasma acylcarnitines could predict prognosis and evaluate treatment of IgA nephropathy.

BACKGROUND: Effective evaluation or prediction of therapy response could be helpful for treatment of chronic kidney disease (CKD), which may rely on accurate biomarkers. Acylcarnitines are involved with lipid metabolism and mitochondrial function. The relation of acylcarnitines with treatment response in patients with CKD is unknown. The purpose of this study is to investigate the association of plasma acylcarnitines with renal function and its alteration by intervention in patients with IgA nephropathy (IgAN). METHODS: A retrospective study was performed in 81 IgAN patients with treatment by traditional Chinese medicine (TCM). Multivariate linear regression analyses were performed to identify the association of acylcarnitines with baseline estimated glomerular filtration rate (eGFR) and eGFR changes after treatment. RESULTS: Twenty-seven acylcarnitines were measured at baseline and after 1-year TCM intervention. Certain short-chain and median-chain acylcarnitines were independently associated with baseline eGFR and eGFR alterations after 1 year treatment. Particularly, patients with high C5:1(ß = - 0.42), C8:1(ß = - 0.49), C3DC(ß = - 0.5), C10:1(ß = - 0.36) and C5DC(ß = - 0.64)at baseline would have worse prognosis and treatment response. Moreover, certain acylcarnitines could be changed along with the eGFR alteration after 1-year TCM treatment. CONCLUSIONS: The findings indicate a significant association between plasma acylcarnitines with prognosis and treatment responses in patients with IgAN, which suggest its role as a potential penal of biomarker for IgAN.

Personalized evaluation based on quantitative proteomics for drug-treated patients with chronic kidney disease.

The patient's response to drug treatment is usually systems-wide based on multi-spots through either direct or indirect targets. Thus, the evaluation of the treatment cannot rely on single targeted biomarker, especially for complex diseases such as chronic kidney disease. In the present study, we performed a systems-wide analysis using proteomic approach to quantify changes in the proteomic profiles of the plasma from IgA nephropathy (IgAN) patients before and after treatment. In particular, the patient-to-health distances based on global proteome quantification before and after treatment were calculated and considered as quantitative readouts to measure patient divergences from the healthy condition. We found that the patient-to-health distance nicely correlated with the patient's response to drug treatment and long-term prognosis, which created a self-tracking platform for personalized evaluation. In addition, the steroid treatment plays a role in immunosuppression, while the Chinese Traditional Medicine (TCM) can modulate whole-body systems. Our results indicated that STC therapy normalized the proteomic profile more significantly than SA therapy. This work provides an omics-based and systematic platform for personalized evaluation of disease treatment. This strategy could help us to evaluate treatment outcomes and predict prognosis in patients with IgAN and other complex diseases.

The Application of SILAC Mouse in Human Body Fluid Proteomics Analysis Reveals Protein Patterns Associated with IgA Nephropathy.

Body fluid proteome is the most informative proteome from a medical viewpoint. But the lack of accurate quantitation method for complicated body fluid limited its application in disease research and biomarker discovery. To address this problem, we introduced a novel strategy, in which SILAC-labeled mouse serum was used as internal standard for human serum and urine proteome analysis. The SILAC-labeled mouse serum was mixed with human serum and urine, and multidimensional separation coupled with tandem mass spectrometry (IEF-LC-MS/MS) analysis was performed. The shared peptides between two species were quantified by their SILAC pairs, and the human-only peptides were quantified by mouse peptides with coelution. The comparison for the results from two replicate experiments indicated the high repeatability of our strategy. Then the urine from Immunoglobulin A nephropathy patients treated and untreated was compared by this quantitation strategy. Fifty-three peptides were found to be significantly changed between two groups, including both known diagnostic markers for IgAN and novel candidates, such as Complement C3, Albumin, VDBP, ApoA,1 and IGFBP7. In conclusion, we have developed a practical and accurate quantitation strategy for comparison of complicated human body fluid proteome. The results from such strategy could provide potential disease-related biomarkers for evaluation of treatment.

Systematic variations associated with renal disease uncovered by parallel metabolomics of urine and serum.

BACKGROUND: Membranous nephropathy is an important glomerular disease characterized by podocyte injury and proteinuria, but no metabolomics research was reported as yet. Here, we performed a parallel metabolomics study, based on human urine and serum, to comprehensively profile systematic metabolic variations, identify differential metabolites, and understand the pathogenic mechanism of membranous nephropathy. RESULTS: There were obvious metabolic distinctions between the membranous nephropathy patients with urine protein lower than 3.5 g/24 h (LUPM) and those higher than 3.5 g/24 h (HUPM) by Partial Least Squares Discriminant Analysis (PLS-DA) model analysis. In total, 26 urine metabolites and 9 serum metabolites were identified to account for such differences, and the majority of metabolites were significantly increased in HUPM patients for both urines and serums. Combining the results of urine with serum, all differential metabolites were classified to 5 classes. This classification helps globally probe the systematic metabolic alterations before and after blood flowing through kidney. Citric acid and 4 amino acids were markedly increased only in the serum samples of HUPM patients, implying more impaired filtration function of kidneys of HUPM patients than LUPM patients. The dicarboxylic acids, phenolic acids, and cholesterol were significantly elevated only in urines of HUPM patients, suggesting more severe oxidative attacks than LUPM patients. CONCLUSIONS: Parallel metabolomics of urine and serum revealed the systematic metabolic variations associated with LUPM and HUPM patients, where HUPM patients suffered more severe injury of kidney function and oxidative stresses than LUPM patients. This research exhibited a promising application of parallel metabolomics in renal diseases.