Dataset Information

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

ABSTRACT:

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(??=?-?0.42), C8:1(??=?-?0.49), C3DC(??=?-?0.5), C10:1(??=?-?0.36) and C5DC(??=?-?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.

SUBMITTER: Xia FY

PROVIDER: S-EPMC6323753 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature

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Publications

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

Xia Fang-Ying FY Zhu Li L Xu Chao C Wu Qing-Qing QQ Chen Wan-Jia WJ Zeng Rong R Deng Yue-Yi YY

Nutrition & metabolism 20190108

<h4>Background</h4>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 ...[more]

PMID: 30631376

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Project description:BackgroundChronic inflammation is related to the development of IgA nephropathy (IgAN). Emerging studies have reported that platelet-related parameters including platelet (PLT), platelet-to-albumin ratio (PAR), and platelet-to-lymphocyte ratio (PLR) are proved to be novel prognostic indicators for several inflammatory diseases. Whether platelet-related parameters could serve as predictors for IgAN remains unknown.MethodsA total of 966 IgAN patients were enrolled in this retrospective study and were divided into several groups based on the optimal cut-off value of the platelet-related parameters. End-stage renal disease was used as the renal endpoint. A 1:2 propensity score (PS) match was then carried out to eliminate significant differences at baseline. The area under the receiver operating characteristic curve (AUROC), Kaplan-Meier (K-M) curve, and Cox proportional hazards analyses were performed to evaluate their predictive effect.ResultsWithout considering the effect of covariates, the K-M curve showed that PLT, PLR, and PAR were strongly correlated with the renal outcomes of IgAN. However, the AUROC revealed that the PAR and PLR had better predictive power than the PLT. Multivariate Cox regression adjusting for demographic data, pathological findings, treatment, and laboratory results indicated that compared with PLR, albumin and PLT, PAR seemed to be a better marker of adverse renal outcome, implying that PAR was the only platelet-related parameter that could be used as an independent risk factor. Notably, high PAR patients seemed to have more severe clinical manifestations and pathological lesions. However, after eliminating the influence of different baselines on outcome variables, the PAR could still predict the poor prognosis of IgAN. To more accurately evaluate the predictive power of the PAR, we analyzed the predictive effect of the PAR on patients with different clinicopathological characteristics through subgroup analysis. It was indicated that the PAR might better predict the prognosis and outcome of patients whose disease was already very severe.ConclusionPAR might be used as an independent risk factor for IgAN progression.

Dataset Information

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

Background

Methods

Results

Conclusions

Publications

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

Similar Datasets

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