1H NMR urinalysis in glomerulonephritis: A new prognostic criterion

Knubovets, Tatyana; Lundina, Tatyana A.; Sibel'dina, L A; Sedov, K.R.

doi:10.1016/0730-725x(92)90382-a

Cited by 12 publications

(8 citation statements)

References 21 publications

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“…Furthermore, in studies with experimental animals exposed to region-specific nephrotoxins, the NMRgenerated metabolite profiles were characteristically changed according to the exact site and mechanism of the lesion (glomeruli, lower or upper regions of the proximal tubules, and renal medulla) (19). In the clinical field, NMR urinalysis has contributed to the assessment of renal transplant dysfunction (20,21), to the early detection of latent tubulointerstitial disturbances in glomerulonephritis (22), and to the detection of renal dysfunction in several pathological states (23)(24)(25)(26).…”

Section: Introductionmentioning

confidence: 99%

Evaluation of the proximal tubular function in individuals with primary renal hypouricemia: an NMR‐based metabonomic study

et al. 2009

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Primary renal hypouricemia (PRH) refers to a rare condition of increased renal urate clearance, caused by an isolated inborn error of membrane transport of urate in the renal proximal tubule. Several cases of exercise-induced acute renal failure and urolithiasis have been reported. This is the first study that assessed tubular function in PRH using NMR-based metabonomic urine analysis. The study groups consisted of 36 unrelated asymptomatic subjects with PRH, defined as serum uric acid levels (sUA) <2.5 mg/dL and fractional excretion of uric acid (FEUA) >10%, after exclusion of diseases and drugs that may affect urate homeostasis, and 39 sex and age-matched healthy individuals with normal sUA levels (>4.0 mmol/L) and FEUA<10%. Individuals with primary hypouricemia presented similar biochemical profiles to the controls without significant differences with regard to FE of electrolytes and renal threshold for phosphate excretion. Individuals with primary hypouricemia were differentiated from healthy individuals in the orthogonal signal correction/partial least-squares-discriminant analysis models of the NMR data with a statistically significant separation. The components that contributed to this separation were the lower levels of hippurate, creatinine, and trimethylaminoxide, and the higher levels of phenylalanine, alanine, glycine, glutamate, acetate, and of an unidentified metabolite (3.3 ppm) observed in hypouricemic subjects compared with controls. Primary hypouricemia, though considered an isolated renal tubular defect, is often associated with a more generalized proximal tubular disorder that mimics a partial Fanconi syndrome.

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Section: Introductionmentioning

confidence: 99%

Evaluation of the proximal tubular function in individuals with primary renal hypouricemia: an NMR‐based metabonomic study

et al. 2009

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“…1 H NMR spectroscopy of urine provides overall profiles of low molecular weight (LMW) metabolites that alter characteristically in response to changes in physiological status, toxic insult, or disease processes. − In situations where renal damage is present in humans or experimental animals, the LMW metabolite profile of urine is significantly altered, and this is closely reflected in the 1 H NMR spectral fingerprint. Furthermore, in studies with experimental animals exposed to region-specific nephrotoxins, the NMR-generated metabolite profiles were characteristically changed according to the exact site and mechanism of the lesion (glomeruli, lower or upper regions of the proximal tubules, renal medulla). , In the clinical field, NMR urinalysis has contributed to the assessment of renal transplant dysfunction, , to the early detection of latent tubulointerstitial distortions in glomerulonephritis, , and to the detection of renal dysfunction in several pathological states. − …”

Section: Introductionmentioning

confidence: 99%

Evaluation of Tubulointerstitial Lesions' Severity in Patients with Glomerulonephritides: An NMR-Based Metabonomic Study

et al. 2007

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An 1H NMR-based metabonomic approach was used to investigate the correlation of histopathologically assessed tubulointerstitial lesions with the urinary metabolite profile in 77 patients with glomerulonephritides submitted to renal biopsy. The presence of renal damage was predicted with a sensitivity of 96% and a specificity of 99%. Patients with mild, moderate, and severe tubulointerstitial lesions were progressively differentiated from the healthy individuals in the Orthogonal Signal Correction Partial Least-Squares-Discriminant Analysis (OSC/PLS-DA) models with a statistically significant separation between those with mild and with severe lesions. The onset of the tubulointerstitial lesions is characterized by decreased excretion of citrate, hippurate, glycine, and creatinine, whereas further deterioration is followed by glycosuria, selective aminoaciduria, total depletion of citrate and hippurate, and gradual increase in the excretion of lactate, acetate, and trimethylamine-N-oxide. NMR-based metabonomic urinalysis could contribute to the early evaluation of the severity of the renal damage and possibly to the monitoring of kidney function.

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“…1 H-NMR has been widely used in urinary fingerprinting and the search for disease biomarkers [2,3]. The approach has been recently complemented by chromatographic techniques hyphenated to MS (GC-MS and LC-MS), with the advantage over 1 H-NMR of a higher sensitivity [4][5][6][7].…”

Section: Introductionmentioning

confidence: 99%

Data processing in metabolic fingerprinting by CE‐UV: Application to urine samples from autistic children

Soria

Wright²,

Goodall

et al. 2007

Electrophoresis

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Data processing in metabolic fingerprinting by CE-UV: Application to urine samples from autistic childrenMetabolic fingerprinting of biofluids such as urine can be used to detect and analyse differences between individuals. However, before pattern recognition methods can be utilised for classification, preprocessing techniques for the denoising, baseline removal, normalisation and alignment of electropherograms must be applied. Here a MEKC method using diode array detection has been used for high-resolution separation of both charged and neutral metabolites. Novel and generic algorithms have been developed for use prior to multivariate data analysis. Alignment is achieved by combining the use of reference peaks with a method that uses information from multiple wavelengths to align electropherograms to a reference signal. This metabolic fingerprinting approach by MEKC has been applied for the first time to urine samples from autistic and control children in a nontargeted and unbiased search for markers for autism. Although no biomarkers for autism could be determined using MEKC data here, the general approach presented could also be applied to the processing of other data collected by CE with UV-Vis detection. Keywords IntroductionMetabolic fingerprinting approaches [1] have recently emerged as a nonbiased alternative to the determination of individual levels of a specific metabolite or class of metabolites in large sets of samples, as is necessary for clinical diagnosis purposes. 1 H-NMR has been widely used in urinary fingerprinting and the search for disease biomarkers [2,3]. The approach has been recently complemented by chromatographic techniques hyphenated to MS (GC-MS and LC-MS), with the advantage over 1 H-NMR of a higher sensitivity [4][5][6][7]. Other spectroscopic techniques used less frequently for urinary fingerprinting include direct injection MS [8,9] and FTIR spectroscopy [10]. CE has recently been incorporated to the family of metabolic fingerprinting techniques used for clinical studies [11][12][13][14]. CE is an efficient and sensitive high-resolution separation technique that allows fast analysis of ionic species and the use of small samples.MEKC, applicable to both ionic and neutral species, has proved to be a useful tool in the study of different target metabolites in urine [15][16][17][18]. However, its application as a nontargeted approach has not yet been fully exploited. CD-modified MEKC allows the separation of over 80 UVabsorbing endogenous analytes of different charge types (neutral, anionic and cationic) below 25 min [18][19][20]. Since minimal sample pretreatment is required, this methodology has the potential for high-throughput analysis of the large number of samples required in screening applications.Urinary fingerprints produced by MEKC are highly complex datasets and require multivariate techniques for interpretation. Unsupervised pattern recognition methods such as cluster analysis and principal component analysis (PCA) have been used to examine the structure of these dataset...

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1H NMR urinalysis in glomerulonephritis: A new prognostic criterion

Cited by 12 publications

References 21 publications

Evaluation of the proximal tubular function in individuals with primary renal hypouricemia: an NMR‐based metabonomic study

Evaluation of the proximal tubular function in individuals with primary renal hypouricemia: an NMR‐based metabonomic study

Evaluation of Tubulointerstitial Lesions' Severity in Patients with Glomerulonephritides: An NMR-Based Metabonomic Study

Data processing in metabolic fingerprinting by CE‐UV: Application to urine samples from autistic children

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