Slpi in the Perfusion Solution Helps to Identify Graft Quality in Kidney Transplants

Ambrosi, Nella; Fiorella, Y; Osella, Francisco; Alvarez, L; Sánchez, F; Toniolo, Fernanda; Guerrieri, Diego; Incardona, Claudio; Casadei, Domingo; Chuluyan, Eduardo

doi:10.2217/bmm-2018-0428

Cited by 5 publications

(3 citation statements)

References 20 publications

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“…Biomarkers [e.g., neutrophil gelatinase-associated lipocalin (NGAL), kidney injury molecule-1 (KIM-1), liver-type fatty acid binding protein (L-FABP), monocyte chemoattractant protein-1 (MCP-1), chitinase-3-like 1 (YKL-40), interleukin 18 (IL-18), secretory leukocyte peptidase inhibitor (SLPI), etc.] derived from donor urine or serum may offer advantages in the precise measurement of kidney quality [ 99 , 100 , 101 , 102 ]. RS and SERS have been evaluated as alternative tools because there is currently no gold-standard method for detecting biomarkers involved in donor kidney injury.…”

Section: The Potential Use Of Raman Spectroscopy In Specific Kidney D...mentioning

confidence: 99%

The Potential Applications of Raman Spectroscopy in Kidney Diseases

Delrue

Speeckaert

2022

JPM

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Raman spectroscopy (RS) is a spectroscopic technique based on the inelastic interaction of incident electromagnetic radiation (from a laser beam) with a polarizable molecule, which, when scattered, carries information from molecular vibrational energy (the Raman effect). RS detects biochemical changes in biological samples at the molecular level, making it an effective analytical technique for disease diagnosis and prognosis. It outperforms conventional sample preservation techniques by requiring no chemical reagents, reducing analysis time even at low concentrations, and working in the presence of interfering agents or solvents. Because routinely utilized biomarkers for kidney disease have limitations, there is considerable interest in the potential use of RS. RS may identify and quantify urinary and blood biochemical components, with results comparable to reference methods in nephrology.

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Section: The Potential Use Of Raman Spectroscopy In Specific Kidney D...mentioning

confidence: 99%

The Potential Applications of Raman Spectroscopy in Kidney Diseases

Delrue

Speeckaert

2022

JPM

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“…250 mg/kg) and plasma samples were obtained at 30, 60, 120 min and 24 h after administration. Levels of SLPI were measured with sandwich ELISA as previously described (27).…”

Section: Time Kinetics Studymentioning

confidence: 99%

Secretory Leukocyte Proteinase Inhibitor Protects Acute Kidney Injury Through Immune and Non-Immune Pathways

Guerrieri

Ambrosi

Romeo

et al. 2021

Shock

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Acute kidney injury (AKI) is characterized by rapid loss of excretory function and is the clinical manifestation of several disorders affecting the kidney. The aim of the present study was to investigate the mechanism of action of Secretory Leukocyte Proteinase Inhibitor (SLPI) that protects the kidneys form AKI. In vivo and in vitro experiments were performed to assess the effect of SLPI on kidney injury. Animal models of kidney injury was generated by 40 min obstruction of kidney artery and vein (ischemia-reperfusion injury model) or daily administration of 60 mg/kg/day of gentamicine for 5 day (gentamicinassociated AKI model). For in vitro assessment, human renal epithelium HK-2 cells were cultured under serum starvation conditions or with tacrolimus. The administration of SLPI (250 mg/kg, i.p.) reduced elevated plasma creatinine and blood urea nitrogen levels, tissue myeloperoxidase content, and acute tubular necrosis induced by kidney damage. Furthermore, SLPI treatment reduced CD86, CD68, CD14, CCL2, TNFa, and IL-10 transcripts in kidney biopsies. To further analyze a direct effect of SLPI on renal epithelial cells, HK-2 cells from human renal epithelium were cultured under serum starvation conditions or with tacrolimus. Both conditions induced apoptosis of HK-2 cells which was reduced when SLPI was present in the culture medium. Furthermore, SLPI favored the proliferation and migration of HK-2 cells. An analysis of the gene profiles of HK-2 cells treated with calcineurin inhibitors affected inflammatory and non-inflammatory pathways that were reversed by SLPI. Among them, SLPI down modulated the expression of CCL2, SLC5A3, and BECN1 but up-regulated the expression of TLR4, ATF4, ATF6, HSP90B, BBC3 SLC2A1, and TNFRSF10B. Overall, these results suggest that SLPI, in addition to its activity on immune cells, may directly target tubular epithelial cells of the kidney to mediate the nephroprotective activity in AKI.

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“…Compared with patients without AKI after kidney transplantation, there is an increase of secretory leucocyte peptidase inhibitor ( SLPI ) in AKI patient plasma and urine; SLPI has a unique significance in transplantation-related AKI ( 13 ), and in the perfusion solution. It may help to identify graft quality after kidney transplantation ( 14 ). In the mouse model of ischemic AKI, ischemia can upregulate the expression of macrophage migration inhibitor 2, thereby promoting the release of SLPI and imparting renal protection.…”

Section: Introductionmentioning

confidence: 99%

Machine learning algorithm-based identification and verification of characteristic genes in acute kidney injury

Zhang

et al. 2022

Front. Med.

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BackgroundAcute kidney injury is a common renal disease with high incidence and mortality. Early identification of high-risk acute renal injury patients following renal transplant could improve their prognosis, however, no biomarker exists for early detection.MethodsThe GSE139061 dataset was used to identify hub genes in 86 DEGs between acute kidney injury and control samples using three machine learning algorithms (LASSO, random forest, and support vector machine-recursive feature elimination). We used GSEA to identify the related signal pathways of six hub genes. Finally, we validated these potential biomarkers in an in vitro hypoxia/reoxygenation injury cell model using RT-qPCR.ResultsSix hub genes (MDFI, EHBP1L1, FBXW4, MDM4, RALYL, and ESM1) were identified as potentially predictive of an acute kidney injury. The expression of ESM1 and RALYL were markedly increased in control samples, while EHBP1L1, FBXW4, MDFI, and MDM4 were markedly increased in acute kidney injury samples.ConclusionWe screened six hub genes related to acute kidney injury using three machine learning algorithms and identified genes with potential diagnostic utility. The hub genes identified in this study might play a significant role in the pathophysiology and progression of AKI. As such, they might be useful for the early diagnosis of AKI and provide the possibility of improving the prognosis of AKI patients.

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Slpi in the Perfusion Solution Helps to Identify Graft Quality in Kidney Transplants

Cited by 5 publications

References 20 publications

The Potential Applications of Raman Spectroscopy in Kidney Diseases

The Potential Applications of Raman Spectroscopy in Kidney Diseases

Secretory Leukocyte Proteinase Inhibitor Protects Acute Kidney Injury Through Immune and Non-Immune Pathways

Machine learning algorithm-based identification and verification of characteristic genes in acute kidney injury

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