Observational studyKidney international2015
Renal systems biology of patients with systemic inflammatory response syndrome.
Observational study in Kidney international, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
37 citing papers in PubMed.
- Serum meprin α levels for the detection of systemic inflammatory response syndrome.Molecular medicine (Cambridge, Mass.) · 2026Article
- The long-term impact of mild COVID-19 on cardiovascular disease and mortality in patients on hemodialysis: a post-Omicron era retrospective observational study.Renal failure · 2025Observational
- Metabolomic biomarkers predict long-term physical function in survivors of acute respiratory failure.Respiratory research · 2025Article
- Metabolomic Biomarkers Predict Long-term Physical Function in Survivors of Acute Respiratory Failure.Research square · 2025Article
- Molecular dynamics of the host response to Streptococcus pneumoniae pneumonia in baboons.Animal models and experimental medicine · 2025Article
- Identification of druggable targets in acute kidney injury by proteome- and transcriptome-wide Mendelian randomization and bioinformatics analysis.Biology direct · 2025Article
- Peripheral Transcriptomics in Acute and Long-Term Kidney Dysfunction in SARS-CoV-2 Infection.Kidney360 · 2025Article
- Transcriptomic analysis after SARS-CoV-2 mRNA vaccination reveals a specific gene signature in low-responder hemodialysis patients.Frontiers in immunology · 2025Article
- Metabolic Pathways Affected in Patients Undergoing Hemodialysis and Their Relationship with Inflammation.International journal of molecular sciences · 2024Article
- Plasma proteomics of acute tubular injury.Nature communications · 2024Article
- Uremic Toxins and Inflammation: Metabolic Pathways Affected in Non-Dialysis-Dependent Stage 5 Chronic Kidney Disease.Biomedicines · 2024Article
- Exploring the causal role of multiple metabolites on ovarian cancer: a two sample Mendelian randomization study.Journal of ovarian research · 2024Article
- Causal impact of human blood metabolites and metabolic pathways on serum uric acid and gout: a mendelian randomization study.Frontiers in endocrinology · 2024Article
- Multilevel omics for the discovery of biomarkers in pediatric sepsis.Pediatric investigation · 2023Review
- The role of regulatory T cells in the pathogenesis of acute kidney injury.Journal of cellular and molecular medicine · 2023Article
- Comparison of Growth Performance and Plasma Metabolomics between Two Sire-Breeds of Pigs in China.Genes · 2023Article
- Proteomic changes associated with racial background and sepsis survival outcomes.Molecular omics · 2022Article
- Absorption and Metabolism of the Natural Sweeteners Erythritol and Xylitol in Humans: A Dose-Ranging Study.International journal of molecular sciences · 2022Article
- The Neglected Price of Pediatric Acute Kidney Injury: Non-renal Implications.Frontiers in pediatrics · 2022Review
- A metabolomic endotype of bioenergetic dysfunction predicts mortality in critically ill patients with acute respiratory failure.Scientific reports · 2021Article
Corrections and comments
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Authors and funding
21 authors.
Funding
Abstract
A systems biology approach was used to comprehensively examine the impact of renal disease and hemodialysis (HD) on patient response during critical illness. To achieve this, we examined the metabolome, proteome, and transcriptome of 150 patients with critical illness, stratified by renal function. Quantification of plasma metabolites indicated greater change as renal function declined, with the greatest derangements in patients receiving chronic HD. Specifically, 6 uremic retention molecules, 17 other protein catabolites, 7 modified nucleosides, and 7 pentose phosphate sugars increased as renal function declined, consistent with decreased excretion or increased catabolism of amino acids and ribonucleotides. Similarly, the proteome showed increased levels of low-molecular-weight proteins and acute-phase reactants. The transcriptome revealed a broad-based decrease in mRNA levels among patients on HD. Systems integration revealed an unrecognized association between plasma RNASE1 and several RNA catabolites and modified nucleosides. Further, allantoin, N1-methyl-4-pyridone-3-carboxamide, and N-acetylaspartate were inversely correlated with the majority of significantly downregulated genes. Thus, renal function broadly affected the plasma metabolome, proteome, and peripheral blood transcriptome during critical illness; changes were not effectively mitigated by hemodialysis. These studies allude to several novel mechanisms whereby renal dysfunction contributes to critical illness.
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