Brazilian Network of Pediatric Nephrotic Syndrome (REBRASNI)

Feltran, Luciana de Santis; Watanabe, Andréia; Guaragna, Mara Sanches; Machado, Ivan C; Casimiro, Fernanda Maria Serafim; Neves, Precil Diego Miranda de Menezes; Palma, Lílian Monteiro Pereira; Varela, Patrícia Siqueira; Vaisbich, María Helena; Marie, Suely Kazue Nagahashi; Facincani, Inalda; Pesquero, João Bosco; Belangero, Vera Maria Santoro; Sampson, Matthew G.; Nogueira, Paulo Roberto; Onuchic, Luiz Fernando

doi:10.1016/j.ekir.2019.11.007

Cited by 4 publications

(3 citation statements)

References 8 publications

(10 reference statements)

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“…However, the precise pathophysiology of SSNS remains elusive, which impedes the progress toward achieving effective long‐term treatment 12 . Early diagnosis of SSNS is a reliable way to reduce the recurrence rate 13 . So far, a renal biopsy and the patient's response to steroid treatment are the gold standards for clinicians to rely on for a long‐term prognosis 14 .…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Metabolomic profiles in serum and urine uncover novel biomarkers in children with nephrotic syndrome

Lin

Huang

et al. 2023

Eur J Clin Investigation

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Background: Nephrotic syndrome is common in children and adults worldwide, and steroid-sensitive nephrotic syndrome (SSNS) accounts for 80%. Aberrant metabolism involvement in early SSNS is sparsely studied, and its pathogenesis remains unclear. Therefore, the goal of this study was to investigate the changes in initiated SSNS patients-related metabolites through serum and urine metabolomics and discover the novel potential metabolites and metabolic pathways.Methods: Serum samples (27 SSNS and 56 controls) and urine samples (17 SSNS and 24 controls) were collected. Meanwhile, the non-targeted analyses were performed by ultra-high-performance liquid chromatography-quadrupole time of flight-mass spectrometry (UHPLC-QTOF-MS) to determine the changes in SSNS. We applied the causal inference model, the DoWhy model, to assess the causal effects of several selected metabolites. An ultraperformance liquid chromatography-tandem mass spectrometry (UPLC-MS/MS) was used to validate hits (D-mannitol, dulcitol, D-sorbitol, XMP, NADPH, NAD, bilirubin, and α-KG-like) in 41 SSNS and 43 controls. In addition, the metabolic pathways were explored.

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Section: Introductionmentioning

confidence: 99%

“…12 Early diagnosis of SSNS is a reliable way to reduce the recurrence rate. 13 So far, a renal biopsy and the patient's response to steroid treatment are the gold standards for clinicians to rely on for a long-term prognosis. 14 Nevertheless, they are invasive and bring patients side effects.…”

Section: Introductionmentioning

confidence: 99%

Metabolomic profiles in serum and urine uncover novel biomarkers in children with nephrotic syndrome

Lin

Huang

et al. 2023

Eur J Clin Investigation

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“…In addition, rituximab, a chimeric B-cell depleting anti–CD 20 antibody, has become a choice for patients with primary glomerular disease [ 4 ]. If children with NS are not diagnosed and treated promptly, there is a 40% chance that they may develop the condition again once they reach adulthood and ultimately progress into end-stage renal disease [ 5 , 6 ]. The diagnosis of NS is based on characteristic clinical symptoms, in addition to the confirmation of significant proteinuria and hypoalbuminemia [ 7 ].…”

Section: Introductionmentioning

confidence: 99%

Metabolomics Profiling of Nephrotic Syndrome towards Biomarker Discovery

Jacob

Nimer

Alabdaljabar

et al. 2022

IJMS

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Nephrotic syndrome (NS) is a kidney illness characterized by excessive proteinuria, hypoalbuminemia, edema, and hyperlipidemia, which may lead to kidney failure and necessitate renal transplantation. End-stage renal disease, cardiovascular issues, and mortality are much more common in those with NS. Therefore, the present study aimed to identify potential new biomarkers associated with the pathogenesis and diagnosis of NS. The liquid chromatography–mass spectrometry (LC–MS) metabolomics approach was applied to profile the metabolome of human serum of patients with NS. A total of 176 metabolites were significantly altered in NS compared to the control. Arginine, proline, and tryptophan metabolism; arginine, phenylalanine, tyrosine, and tryptophan biosynthesis were the most common metabolic pathways dysregulated in NS. Furthermore, alanyl-lysine and isoleucyl-threonine had the highest discrimination between NS and healthy groups. The candidate biomarkers may lead to understanding the possible metabolic alterations associated with NS and serve as potential diagnostic biomarkers.

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