RESUMEN
Using a non-targeted metabolomics platform, we recently identified C-mannosyltryptophan and pseudouridine as non-traditional kidney function markers. The aims of this study were to obtain absolute concentrations of both metabolites in blood and urine from individuals with and without CKD to provide reference ranges and to assess their fractional excretions (FE), and to assess the agreement with their non-targeted counterparts. In individuals without/with CKD, mean plasma and urine concentrations for C-mannosyltryptophan were 0.26/0.72 µmol/L and 3.39/4.30 µmol/mmol creatinine, respectively. The respective concentrations for pseudouridine were 2.89/5.67 µmol/L and 39.7/33.9 µmol/mmol creatinine. Median (25th, 75th percentiles) FEs were 70.8% (65.6%, 77.8%) for C-mannosyltryptophan and 76.0% (68.6%, 82.4%) for pseudouridine, indicating partial net reabsorption. Association analyses validated reported associations between single metabolites and eGFR. Targeted measurements of both metabolites agreed well with the non-targeted measurements, especially in urine. Agreement for composite nephrological measures FE and urinary metabolite-to-creatinine ratio was lower, but could be improved by replacing non-targeted creatinine measurements with a standard clinical creatinine test. In summary, targeted quantification and additional characterization in relevant populations are necessary steps in the translation of non-traditional biomarkers in nephrology from non-targeted discovery to clinical application.
Asunto(s)
Seudouridina/sangre , Seudouridina/orina , Triptófano/análogos & derivados , Adulto , Biomarcadores/sangre , Biomarcadores/orina , Estudios de Casos y Controles , Creatinina/sangre , Creatinina/orina , Estudios Transversales , Diabetes Mellitus Tipo 2/sangre , Diabetes Mellitus Tipo 2/orina , Femenino , Tasa de Filtración Glomerular , Humanos , Pruebas de Función Renal , Masculino , Persona de Mediana Edad , Estudios Prospectivos , Valores de Referencia , Insuficiencia Renal Crónica/sangre , Insuficiencia Renal Crónica/orina , Triptófano/sangre , Triptófano/orinaRESUMEN
The high reliability of NMR spectroscopy makes it an ideal tool for large-scale metabolomic studies. However, the complexity of biofluids and, in particular, the presence of macromolecules poses a significant challenge. Ultrafiltration and protein precipitation are established means of deproteinization and recovery of free or total metabolite content, but neither is ever complete. In addition, aside from cost and labor, all deproteinization methods constitute an additional source of experimental variation. The Carr-Purcell-Meiboom-Gill (CPMG) echo-train acquisition of NMR spectra obviates the need for prior deproteinization by attenuating signals from macromolecules, but concentration values of metabolites measured in blood plasma will not necessarily reflect total or free metabolite content. Here, in contrast to approaches that propose the determination of individual T1 and T2 relaxation times for the computation of correction factors, we demonstrate their determination by spike-in experiments with known amounts of metabolites in pooled samples of the matrix of interest to facilitate the measurement of total metabolite content. Provided that the protein content does not vary too much among individual samples, accurate quantitation of metabolites is feasible. Moreover, samples with significantly deviating protein content may be readily recognized by inclusion of a standard that shows moderate protein binding. It is also shown that urinary proteins when present in high concentrations may effect detection of common urinary metabolites prone to strong protein binding such as tryptophan.
Asunto(s)
Proteínas Sanguíneas/aislamiento & purificación , Espectroscopía de Resonancia Magnética , Metaboloma/genética , Metabolómica , Proteínas Sanguíneas/química , Proteínas Sanguíneas/genética , Cromatografía Liquida , Unión Proteica , Espectrometría de Masas en TándemRESUMEN
Reliable identification of features distinguishing biological groups of interest in urinary metabolite fingerprints requires the control of total metabolite abundance, which may vary significantly as the kidneys adjust the excretion of water and solutes to meet the homeostatic needs of the body. Failure to account for such variation may lead to misclassification and accumulation of missing data in case of less concentrated urine specimens. Here, different pre- and post-acquisition methods of normalization were compared systematically for their ability to recover features from liquid chromatography-mass spectrometry metabolite fingerprints of urine that allow distinction between patients with chronic kidney disease and healthy controls. Methods of normalization that were employed prior to analysis included dilution of urine specimens to either a fixed creatinine concentration or osmolality value. Post-acquisition normalization methods applied to chromatograms of 1:4 diluted urine specimens comprised normalization to creatinine, osmolality, and sum of all integrals. Dilution of urine specimens to a fixed creatinine concentration resulted not only in the least number of missing values, but it was also the only method allowing the unambiguous classification of urine specimens from healthy and diseased individuals. The robustness of classification could be confirmed for two independent patient cohorts of chronic kidney disease patients and yielded a shared set of 49 discriminant metabolite features. Graphical Abstract Dilution to a uniform creatinine concentration across urine specimens yields more comparable urinary metabolite fingerprints.
Asunto(s)
Biomarcadores/orina , Creatinina/análisis , Metabolómica/normas , Urinálisis/métodos , Anemia/orina , Estudios de Cohortes , Diabetes Mellitus Tipo 2/orina , Voluntarios Sanos , Humanos , Metabolómica/métodos , Concentración Osmolar , Insuficiencia Renal Crónica/orina , Manejo de Especímenes , Urinálisis/normasRESUMEN
Large arrays of femtoliter-sized chambers are important tools for single molecule research as well as bioanalytical applications. We have optimized the design and fabrication of two array types consisting of 250 × 250 (62 500) femtoliter chambers either by surface etching of fused silica slides or by polydimethylsiloxane (PDMS) molding. Highly diluted solutions of ß-galactosidase were enclosed in such arrays to monitor the fluorogenic reactions of hundreds of individual enzyme molecules in parallel by wide-field fluorescence microscopy. An efficient mechanical sealing procedure was developed to prevent diffusion of the fluorescent reaction product out of the chambers. Different approaches for minimizing non-specific surface adsorption were explored. The signal acquisition was optimized to grant both a large field of view and an efficient signal acquisition from each femtoliter chamber. The optimized femtoliter array has enabled a three-in-one enzyme assay system: First, the concentration of active enzyme can be determined in a digital way by counting fluorescent chambers in the array. Second, the activity of the enzyme bulk solution is given by averaging many individual substrate turnover rates without the need for knowing the exact enzyme concentration. Third-unlike conventional enzyme assays-the distribution of individual substrate turnover rates yields insight into the conformational heterogeneity in an enzyme population. The substrate turnover rates of single ß-galactosidase molecules were found to be broadly distributed and independent of the type of femtoliter array. In general, both types of femtoliter arrays are highly sensitive platforms for enzyme analysis at the single molecule level and yield consistent results. Graphical Abstract Isolation and analysis of individual enzyme molecules in large arrays of femtoliter-sized chambers.
Asunto(s)
beta-Galactosidasa/metabolismo , Dimetilpolisiloxanos/química , Límite de DetecciónRESUMEN
Acute kidney injury (AKI) is a frequent complication after cardiopulmonary bypass, but early detection of postoperative AKI remains challenging. Protein biomarkers predict AKI excellently in homogeneous cohorts but are less reliable in patients suffering from various comorbidities. We employed nuclear magnetic resonance spectroscopy in a prospective study of 85 adult cardiac surgery patients to identify metabolites prognostic of AKI in plasma specimens collected 24 h after surgery. Postoperative AKI of stages 1-3, as defined by the Acute Kidney Injury Network (AKIN), developed in 33 cases. A random forests classifier trained on the NMR spectra prognosticated AKI across all stages, with an average accuracy of 80 ± 0.9% and an area under the receiver operating characteristic curve of 0.87 ± 0.01. Prognostications were based, on average, on 24 ± 2.8 spectral features. Among the set of discriminative ions and molecules identified were Mg(2+), lactate, and the glucuronide conjugate of propofol. Using creatinine, Mg(2+), and lactate levels to derive an AKIN index score, we found AKIN 1 disease to be largely indistinguishable from AKIN 0, in concordance with the rather mild nature of AKIN 1 disease.
Asunto(s)
Lesión Renal Aguda/sangre , Biomarcadores/sangre , Puente de Arteria Coronaria/efectos adversos , Lesión Renal Aguda/etiología , Humanos , Espectrometría de Masas , Resonancia Magnética Nuclear Biomolecular , Pronóstico , Curva ROCRESUMEN
Recent years have seen resurging interest in cancer cell metabolism and the role of secreted cancer metabolites in modulating the tumor stroma. Using a combination of nontargeted and targeted LC and GC-MS methods, the exometabolomes of three leukemia, two melanoma, three renal cell carcinoma, two colorectal adenocarcinoma, four hepatocellular carcinoma, three breast cancer, two bladder carcinoma, and one glioblastoma cell line, as well as five primary cultures of human melanocytes, hepatocytes, monocytes, CD4 and CD8 lymphocytes, that had been all cultivated under identical conditions, were investigated. Unsupervised affinity propagation clustering of the metabolic footprints yielded five distinct clusters that grouped the investigated cell cultures mainly according to the tissue of origin. A common expected feature of all neoplastic cells was high lactate production. Extracellular arginine and nicotinamide were major discriminants between normal and neoplastic hepatocytes. Further, significant differences in the assimilation of di- and tripeptides were observed. This finding appears to underscore the importance of peptides for meeting the increased bioenergetic and biosynthetic demands of many cancers.