Ontogeny related changes in the pediatric liver metabolome (part-III)
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo Sapiens
TISSUE(S): Liver
PROVIDER: ST001404 | MetabolomicsWorkbench |
REPOSITORIES: MetabolomicsWorkbench
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Project description:Background: A major challenge in implementing personalized medicine in pediatrics is identifying appropriate drug dosages for children. The majority of drug dosing studies have been based on adult populations, often with modification of the dosing for children based on size and weight. However, the growth and development experienced by children between birth and adulthood represents a dynamically changing biological system, with implications for effective drug dosing, efficacy as well as potential drug toxicity. The purpose of this study was to apply a metabolomics approach to gain preliminary insights into the ontogeny of liver function from newborn to adolescent. Methods: Metabolites were measured in 98 post-mortem pediatric liver samples in two experiments 3 batches of samples, allowing for both technical and biological validation. After extensive quality control, imputation and normalization, non-parametric tests were used to determine which metabolite levels differ between the four age groups (AG) ranging in age from newborn to adolescent (AG1-children <1 year; AG2-children with age between 1 and 6 years; AG3-children with age between 6 and 12 years; AG4-children with age between 12 and 18 years). To identify which metabolites had different concentration levels among the age groups, Kruskal-Wallis and Spearman correlation tests were conducted. Pathway analysis utilized the Gamma Method. Correction for multiple testing was completed using Bonferroni correction. Results: We found 41 metabolites (out of 884) that were biologically validated, and of those 25 were technically replicated, of which 24 were known metabolites. For the majority of these 24 metabolites, concentration levels were significantly lower in newborns than in the other age groups, many of which were long chain fatty acids or involved in pyrimidine or purine metabolism. Additionally, we found two KEGG pathways enriched for association with age: betaine metabolism and alpha linolenic acid and linoleic acid metabolism. Conclusions: Understanding the role that ontogeny of childhood liver plays may aid in determining better drug dosing algorithms for children.
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Project description: Not available
| ST001402 | MetabolomicsWorkbench
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| ST001403 | MetabolomicsWorkbench
Project description:OBJECTIVES:The majority of drug dosing studies are based on adult populations, with modification of the dosing for children based on size and weight. This rudimentary approach for drug dosing children is limited, as biologically a child can differ from an adult in far more aspects than just size and weight. Specifically, understanding the ontogeny of childhood liver development is critical in dosing drugs that are metabolized through the liver, as the rate of metabolism determines the duration and intensity of a drug's pharmacologic action. Therefore, we set out to determine pharmacogenes that change over childhood development, followed by a secondary agnostic analysis, assessing changes transcriptome wide. MATERIALS AND METHODS:A total of 47 human liver tissue samples, with between 10 and 13 samples in four age groups spanning childhood development, underwent pair-end sequencing. Kruskal-Wallis and Spearman's rank correlation tests were used to determine the association of gene expression levels with age. Gene set analysis based on the pathways in KEGG utilized the gamma method. Correction for multiple testing was completed using q-values. RESULTS:We found evidence for increased expression of 'very important pharmacogenes', for example, coagulation factor V (F5) (P=6.7×10(-7)), angiotensin I converting enzyme (ACE) (P=6.4×10(-3)), and solute carrier family 22 member 1 (SLC22A1) (P=7.0×10(-5)) over childhood development. In contrast, we observed a significant decrease in expression of two alternative CYP3A7 transcripts (P=1.5×10(-5) and 3.0×10(-5)) over development. The analysis of genome-wide changes detected transcripts in the following genes with significant changes in mRNA expression (P<1×10(-9) with false discovery rate<5×0(-5)): ADCY1, PTPRD, CNDP1, DCAF12L1 and HIP1. Gene set analysis determined ontogeny-related transcriptomic changes in the renin-angiotensin pathway (P<0.002), with lower expression of the pathway, in general, observed in liver samples from younger participants. CONCLUSION:Considering that the renin-angiotensin pathway plays a central role in blood pressure and plasma sodium concentration, and our observation that ACE and PTPRD expression increased over the spectrum of childhood development, this finding could potentially impact the dosing of an entire class of drugs known as ACE-inhibitors in pediatric patients.
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Project description:Background/aimsShifts in the gut microbiota and metabolites are interrelated with liver cirrhosis progression and complications. However, causal relationships have not been evaluated comprehensively. Here, we identified complication-dependent gut microbiota and metabolic signatures in patients with liver cirrhosis.MethodsMicrobiome taxonomic profiling was performed on 194 stool samples (52 controls and 142 cirrhosis patients) via V3-V4 16S rRNA sequencing. Next, 51 samples (17 controls and 34 cirrhosis patients) were selected for fecal metabolite profiling via gas chromatography mass spectrometry and liquid chromatography coupled to time-of-flight mass spectrometry. Correlation analyses were performed targeting the gut-microbiota, metabolites, clinical parameters, and presence of complications (varices, ascites, peritonitis, encephalopathy, hepatorenal syndrome, hepatocellular carcinoma, and deceased).ResultsVeillonella bacteria, Ruminococcus gnavus, and Streptococcus pneumoniae are cirrhosis-related microbiotas compared with control group. Bacteroides ovatus, Clostridium symbiosum, Emergencia timonensis, Fusobacterium varium, and Hungatella_uc were associated with complications in the cirrhosis group. The areas under the receiver operating characteristic curve (AUROCs) for the diagnosis of cirrhosis, encephalopathy, hepatorenal syndrome, and deceased were 0.863, 0.733, 0.71, and 0.69, respectively. The AUROCs of mixed microbial species for the diagnosis of cirrhosis and complication were 0.808 and 0.847, respectively. According to the metabolic profile, 5 increased fecal metabolites in patients with cirrhosis were biomarkers (AUROC >0.880) for the diagnosis of cirrhosis and complications. Clinical markers were significantly correlated with the gut microbiota and metabolites.ConclusionCirrhosis-dependent gut microbiota and metabolites present unique signatures that can be used as noninvasive biomarkers for the diagnosis of cirrhosis and its complications.
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Project description:Nicotinamide adenine dinucleotide (NAD+) and related coenzymes play critical roles in liver function. Although hepatic alcohol metabolism depresses NAD+, current understanding of the NAD+ metabolome in alcohol-related liver disease (ArLD) is based on animal models. We used human liver samples to quantify the NAD+ metabolome in ArLD with samples obtained at the time of liver transplantation or resection at University Hospitals Birmingham National Health Service Foundation Trust. The severity of steatohepatitis in liver from patients with ArLD was assessed with standard liver function tests and histology. NAD-targeted quantitative metabolomic analysis of liver tissue was performed by liquid chromatography-tandem mass spectrometry. Seventy-two human liver specimens were analyzed, including 43 with ArLD. The NAD+ metabolome differed significantly between different types of liver disease (two-way analysis of variance [ANOVA], P = 0.001). ArLD liver tissue showed markedly depressed concentrations of NAD+ (432 μM vs. 616 μM in normal liver) and precursor molecules nicotinic acid and nicotinamide riboside. There was a significant overall difference in the NAD+ metabolome between ArLD samples with and without steatohepatitis (two-way ANOVA, P = 0.018). After correcting for multiple comparisons, a significant difference for individual components of the metabolome was observed for the concentration of NAD+ (mean, 462 μM vs. 322 μM; P < 0.01 in nonsevere vs. severe alcoholic steatohepatitis, respectively). NAD+ concentration was inversely related to serum bilirubin concentration (r 2 = -0.127; P = 0.04) and positively correlated with myeloperoxidase activity (r 2 = 0.31; P = 0.003). The concentration of NAD+ and its precursor molecules are significantly reduced in ArLD and are associated with disease activity. Conclusion: Liver samples from people with ArLD show depressed NAD+ and precursor levels as well as depressed myeloperoxidase activity.
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Project description:Accumulating metabolomics data is starting to become extremely useful in understanding the ageing process, by providing a snapshot into the metabolic state of tissues and organs, at different ages. Molecular studies of such metabolic variations during "normal" ageing can hence guide lifestyle changes and/or medical interventions aimed at improving healthspan and perhaps even lifespan. In this work, we present MetaboAge, a freely accessible database which hosts ageing-related metabolite changes, occurring in healthy individuals. Data is automatically filtered and then manually curated from scientific articles reporting statistically significant associations of human metabolite variations or correlations with ageing. Up to date, MetaboAge contains 408 metabolites annotated with their biological and chemical information, and more than 1515 ageing-related variations, graphically represented on the website grouped by validation methods, sex and age-groups. The MetaboAge database aims to continually structure the expanding information from the field of metabolomics in relation to ageing, thus making it more accessible for further research in gerontology.
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