Trial reportBMC nephrology2019
Plasma metabolites and lipids associate with kidney function and kidney volume in hypertensive ADPKD patients early in the disease course.
Trial report in BMC nephrology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT00283686 (HALT Progression of Polycystic Kidney Disease Study A), which is not on this map. Cited by 14 papers, 2 of them syntheses that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
HALT Progression of Polycystic Kidney Disease Study A
Who cites it
14 citing papers in PubMed, 2 syntheses or guidelines pooled it, 18 citations in OpenAlex.
- Interventions for preventing the progression of autosomal dominant polycystic kidney disease.The Cochrane database of systematic reviews · 2024Pooled it
- Genome-wide meta-analysis identifies new candidate genes for sickle cell disease nephropathy.Blood advances · 2023Pooled it
- Metabolomic Markers of Left Ventricular Structure, Diastolic Function, and Risk of Coronary Heart Disease: A Longitudinal Study in American Indian Individuals.Journal of the American Heart Association · 2026Article
- Electrolyte and metabolite composition of cystic fluid from a rat model of ARPKD.Communications biology · 2025Article
- The Influence of Non-Pharmacological and Pharmacological Interventions on the Course of Autosomal Dominant Polycystic Kidney Disease.Nutrients · 2024Review
- Role of MCP-1 as an inflammatory biomarker in nephropathy.Frontiers in immunology · 2023Review
- A Systematic Review of Reported Outcomes in ADPKD Studies.Kidney international reports · 2022Article
- Imputation of Missing Values for Multi-Biospecimen Metabolomics Studies: Bias and Effects on Statistical Validity.Metabolites · 2022Article
- Obesity, Weight Loss, Lifestyle Interventions, and Autosomal Dominant Polycystic Kidney Disease.Kidney and dialysis · 2022Article
- Comparison of imputation and imputation-free methods for statistical analysis of mass spectrometry data with missing data.Briefings in bioinformatics · 2022Article
- Cardiovascular risk factors and the impact on prognosis in patients with chronic kidney disease secondary to autosomal dominant polycystic kidney disease.BMC nephrology · 2021Article
- Metabolic profiling in children and young adults with autosomal dominant polycystic kidney disease.Scientific reports · 2021Article
- Metabolic Reprogramming and Reconstruction: Integration of Experimental and Computational Studies to Set the Path Forward in ADPKD.Frontiers in medicine · 2021Review
- The relationship between blood metabolites of the tryptophan pathway and kidney function: a bidirectional Mendelian randomization analysis.Scientific reports · 2020Article
Corrections and comments
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Authors and funding
5 authors at 3 institutions in 1 country.
Funding
Abstract
backgroundAutosomal dominant polycystic kidney disease (ADPKD) is the most common hereditary kidney disease and is characterized by gradual cyst growth and expansion, increase in kidney volume with an ultimate decline in kidney function leading to end stage renal disease (ESRD). Given the decades long period of stable kidney function while cyst growth occurs, it is important to identify those patients who will progress to ESRD. Recent data from our and other laboratories have demonstrated that metabolic reprogramming may play a key role in cystic epithelial proliferation resulting in cyst growth in ADPKD. Height corrected total kidney volume (ht-TKV) accurately reflects cyst burden and predicts future loss of kidney function. We hypothesize that specific plasma metabolites will correlate with eGFR and ht-TKV early in ADPKD, both predictors of disease progression, potentially indicative of early physiologic derangements of renal disease severity.
methodsTo investigate the predictive role of plasma metabolites on eGFR and/or ht-TKV, we used a non-targeted GC-TOF/MS-based metabolomics approach on hypertensive ADPKD patients in the early course of their disease. Patient data was obtained from the HALT-A randomized clinical trial at baseline including estimated glomerular filtration rate (eGFR) and measured ht-TKV. To identify individual metabolites whose intensities are significantly correlated with eGFR and ht-TKV, association analyses were performed using linear regression with each metabolite signal level as the primary predictor variable and baseline eGFR and ht-TKV as the continuous outcomes of interest, while adjusting for covariates. Significance was determined by Storey's false discovery rate (FDR) q-values to correct for multiple testing.
resultsTwelve metabolites significantly correlated with eGFR and two triglycerides significantly correlated with baseline ht-TKV at FDR q-value < 0.05. Specific significant metabolites, including pseudo-uridine, indole-3-lactate, uric acid, isothreonic acid, and creatinine, have been previously shown to accumulate in plasma and/or urine in both diabetic and cystic renal diseases with advanced renal insufficiency.
conclusionsThis study identifies metabolic derangements in early ADPKD which may be prognostic for ADPKD disease progression. CLINICAL TRIAL: HALT Progression of Polycystic Kidney Disease (HALT PKD) Study A; Clinical www.clinicaltrials.gov identifier: NCT00283686; first posted January 30, 2006, last update posted March 19, 2015.
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