Association of Angiopoietin-2 with Renal Outcome in Chronic Kidney Disease

Tsai, Yi‐Chun; Chiu, Yi‐Wen; Tsai, Jer‐Chia; Kuo, Hung-Tien; Lee, Su-Chu; Hung, Chi‐Chih; Lin, Ming‐Yen; Hwang, Shiuh-Lin; Kuo, Mei‐Chuan; Chen, Hung‐Chun

doi:10.1371/journal.pone.0108862

Cited by 30 publications

(38 citation statements)

References 37 publications

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“…Consistent with their report [15], serum Angpt2 increased stepwisely with urine PCR, and this was inreversely correlated with eGFR in our patients with diabetic nephropathy. Our previous study suggested that serum Angpt2 level was an independent risk factor for adverse renal outcomes in patients with CKD stages 3-5 [16]. However, whether serum Angpt2 can predict rapid deterioration in renal function in patients with clinical diabetes mellitus has not been well-explored.…”

Section: Discussionmentioning

confidence: 99%

Angiopoietin-2, Renal Deterioration, Major Adverse Cardiovascular Events and All-Cause Mortality in Patients with Diabetic Nephropathy

Tsai¹,

Lee²,

Chiu³

et al. 2018

Kidney Blood Press Res

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Background/Aims: Diabetic nephropathy is the leading cause of end-stage renal disease and accounts for 30∼40% of patients requiring maintenance dialysis, thereby increasing the burden on health insurance programs. Diabetic nephropathy is also the strongest predictor of cardiovascular morbidity and mortality. The aim of this study was to examine whether angiopoietin-2 (Angpt2), a modulator of endothelial function, affects the clinical outcomes of diabetic patients. Methods: This study enrolled 236 patients with diabetes mellitus with estimated glomerular filtration rate (eGFR) < 60ml/min/1.73m² from January 2006 to December 2011, who were followed until June 2017. Clinical outcomes included renal outcomes (commencing dialysis and rapid decline in renal function (eGFR decline > 3 ml/min per 1.73 m²/year)), major adverse cardiovascular events (MACEs), and all-cause mortality. Results: Over a mean follow-up period of 3.9±2.7 years, 135 (57.2%) patients commenced dialysis, 106 (44.9%) had rapid decline in renal function, and 50 (21.2%) had MACEs or died from all-causes. Log-formed Angpt2 was significantly associated with increased risks of commencing dialysis (HR: 3.91, 95% CI: 1.56-9.76), rapid renal function decline (OR: 6.81, 95% CI: 1.06-43.88), and MACEs or all-cause mortality (HR: 6.34, 95% CI: 1.18-33.97) in the adjusted analysis. Patients in the highest quartile had hazard ratios of 2.90 and 3.11 for commencing dialysis and rapid renal function decline, respectively, compared to those in the lowest quartile after adjustments. Similar significant dose-response results were found in composite outcomes of either MACEs or all-cause mortality. Conclusion: Angpt2 is an independent predictor of adverse clinical outcomes in diabetic patients. Further studies are needed to identify the pathogenic role of Angpt2 in renal deterioration and cardiovascular complications of diabetes mellitus.

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Section: Discussionmentioning

confidence: 99%

Angiopoietin-2, Renal Deterioration, Major Adverse Cardiovascular Events and All-Cause Mortality in Patients with Diabetic Nephropathy

Tsai¹,

Lee²,

Chiu³

et al. 2018

Kidney Blood Press Res

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“…Ang-2 is supposed to reflect the amount of endothelial activation [32] and to predict the severity and outcome in critically ill patients or of illnesses like acute pancreatitis [32], CKD [15], or after cardiac surgery [33], in early stages of the medical conditions. These predictions were often linked to an deterioration of renal function [15, 32, 33].…”

Section: Discussionmentioning

confidence: 99%

“…In patients with CKD, dialysis patients or renal transplant recipients, the progressive decline in glomerular filtration rate (GFR) is often associated with a significant elevation in serum Ang-2 concentrations [9]. In a further study in CKD patients, the estimated GFR (eGFR) was inversely related to circulating Ang-2 concentrations and Ang-2 concentrations rose with advancing CKD stages [15]. …”

Section: Introductionmentioning

confidence: 99%

“…Although several clinical studies [9, 11, 15, 16] investigated the association between clinical renal diseases and circulating Ang-2 concentrations, there are currently no studies addressing the relation between renal function and circulating Ang-2 concentrations in the general population. We therefore investigated the associations of functional parameters of the kidney (serum creatinine, cystatin C concentrations, urinary albumin-to-creatinine ratio (uACR) or creatinine and cystatin C-based eGFR) with serum Ang-2 concentrations as well as with serum Tie-2 concentrations in the population-based Study of Health in Pomerania (SHIP) consisting of two independent cohorts (SHIP-1 and SHIP-Trend) with a study population of more than 7000 subjects.…”

Section: Introductionmentioning

confidence: 99%

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Circulating Angiopoietin-2 and Its Soluble Receptor Tie-2 Concentrations Are Related to Renal Function in Two Population-Based Cohorts

et al. 2016

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BackgroundAn intact angiopoietin/Tie-2 ligand receptor system is indispensable for life. High circulating angiopoietin-2 (Ang-2) concentrations are strongly associated with kidney disease involving the progressive loss of glomerular filtration. The aim of our study was to investigate the associations between renal function and serum Ang-2 or serum Tie-2 concentrations in the general population.MethodsData of 3081 and 4088 subjects from two population-based studies, the Study of Health in Pomerania (SHIP-1) and SHIP-Trend, were used. Renal function was assessed by serum creatinine, cystatin C concentration, creatinine-based estimated glomerular filtration rate [eGFR(crea)], cystatin C-based eGFR [eGFR(cys)] and urinary albumin-to-creatinine ratio (uACR). Analyses of variance and linear regression models were calculated.ResultsIn both cohorts, strong positive associations between serum cystatin C concentrations and serum Ang-2 or Tie-2 concentrations as well as inverse associations between eGFR(cys) and serum Ang-2 or Tie-2 concentrations were found. These relations were also present in a subpopulation without hypertension or diabetes mellitus type 2. Furthermore, we detected weak U-shaped associations between serum creatinine concentrations or eGFR(crea) and serum Ang-2 concentrations. With respect to uACR a strong positive association with serum Ang-2 concentrations was revealed.ConclusionSerum Ang-2 concentrations are strongly associated with sensitive parameters of renal impairment like serum cystatin C, uACR and eGFR(cys). These findings persisted even after exclusion of subjects with hypertension or diabetes mellitus type 2, conditions that predispose to chronic renal disease and are associated with increased Ang-2 concentrations. Interestingly, we did not detect the same strong relations between serum creatinine and eGFR(crea) with serum Ang-2 concentration. Additionally, significant association of serum Tie-2 concentrations with cystatin C and eGFR(cys) were detected.

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“…These three methods are widely applied in industries that demand forecasting [15,25,6,7,20]. However, in the past three years, the LME model has been broadly applied in various fields, such as the timber industry [30], medicine [9,49], and ecology [31], and to identify crucial influential factors. In addition, numerous studies have established models for forecasting [38,46].…”

Section: Forecasting Methodologymentioning

confidence: 99%

Advantage of make-to-stock strategy based on linear mixed-effect model: a comparison with regression, autoregressive, times series, and exponential smoothing models

Liao

Chiu

2017

Croat. Oper. Res. Rev.

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Abstract. In the past few decades, demand forecasting has become relatively difficult due to rapid changes in the global environment. This research illustrates the use of the make-to-stock (MTS) production strategy in order to explain how forecasting plays an essential role in business management. The linear mixed-effect (LME) model has been extensively developed and is widely applied in various fields. However, no study has used the LME model for business forecasting. We suggest that the LME model be used as a tool for prediction and to overcome environment complexity. The data analysis is based on real data in an international display company, where the company needs accurate demand forecasting before adopting a MTS strategy. The forecasting result from the LME model is compared to the commonly used approaches, including the regression model, autoregressive model, times series model, and exponential smoothing model, with the results revealing that prediction performance provided by the LME model is more stable than using the other methods. Furthermore, product types in the data are regarded as a random effect in the LME model, hence demands of all types can be predicted simultaneously using a single LME model. However, some approaches require splitting the data into different type categories, and then predicting the type demand by establishing a model for each type. This feature also demonstrates the practicability of the LME model in real business operations.

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Association of Angiopoietin-2 with Renal Outcome in Chronic Kidney Disease

Cited by 30 publications

References 37 publications

Angiopoietin-2, Renal Deterioration, Major Adverse Cardiovascular Events and All-Cause Mortality in Patients with Diabetic Nephropathy

Angiopoietin-2, Renal Deterioration, Major Adverse Cardiovascular Events and All-Cause Mortality in Patients with Diabetic Nephropathy

Circulating Angiopoietin-2 and Its Soluble Receptor Tie-2 Concentrations Are Related to Renal Function in Two Population-Based Cohorts

Advantage of make-to-stock strategy based on linear mixed-effect model: a comparison with regression, autoregressive, times series, and exponential smoothing models

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