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Proteomics coupled transcriptomics reveals Slc34a1 and Slc34a3 downregulation as potential features of nephrotoxin-induced acute kidney injury

ABSTRACT: Acute kidney injury (AKI) is a clinically common and severe disease with a significant economic burden worldwide. Although several studies have focused on the pathogenesis of AKI, much remains unknown about its complex molecular regulatory network and pathophysiological mechanisms. This study combines mass spectrometry and RNA sequencing technologies to investigate nephrotoxin-induced AKI mice's protein and RNA expression profiles. The results revealed that Slc34a1 and Slc34a3 were significantly down-regulated in nephrotoxin-induced AKI mice and may be potential diagnostic and therapeutic targets.

ORGANISM(S): Mus musculus

PROVIDER: GSE240304 | GEO | 2023/08/11

REPOSITORIES: GEO

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Proteomics coupled transcriptomics reveals Slc34a1 and Slc34a3 downregulation as potential features of nephrotoxin-induced acute kidney injury

Project description:Acute kidney injury (AKI) is a clinically common and severe disease with a significant economic burden worldwide. Although several studies have focused on the pathogenesis of AKI, much remains unknown about its complex molecular regulatory network and pathophysiological mechanisms. This study combines mass spectrometry and RNA sequencing technologies to investigate nephrotoxin-induced AKI mice's protein and RNA expression profiles. The results revealed that Slc34a1 and Slc34a3 were significantly down-regulated in nephrotoxin-induced AKI mice and may be potential diagnostic and therapeutic targets.

2023-08-03 | PXD044372 |

Proteomics coupled transcriptomics reveals Slc34a1 and Slc34a3 downregulation as potential features of nephrotoxin-induced acute kidney injury

Project description:Proteomics coupled transcriptomics reveals Slc34a1 and Slc34a3 downregulation as potential features of nephrotoxin-induced acute kidney injury

| PRJNA1003115 | ENA

Transcriptomic analysis of rhabdomyolysis induced kidney injury

Project description:Acute kidney injury (AKI) represents a syndrome seldom characterized by a single, distinct pathophysiological cause. Rhabdomyolysis-induced acute kidney injury (RIAKI) constitutes roughly 15% of AKI cases, yet its underlying pathophysiology remains poorly understood. Using a murine model of RIAKI induced by muscular glycerol injection, we aimed to analyse transcriptomic alterations by RNAseq.

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Transcription profiling by array of human renal proximal tubular cell cultures treated with nephrotoxins

Project description:This experiment is designed to investigate common transcriptional alterations in renal proximal tubular cell cultures due to nephrotoxin exposure.

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Proteomic Characterization of Acute Kidney Injury in Patients Hospitalized with SARS-CoV2 Infection

Project description:Background: Acute kidney injury (AKI) is a known complication of COVID-19 and is associated with an increased risk of in-hospital mortality. Unbiased proteomics using biological specimens can lead to improved risk stratification and discover pathophysiological mechanisms. Methods: Using measurements of ~4000 plasma proteins in two cohorts of patients hospitalized with COVID-19, we discovered and validated markers of COVID-associated AKI (stage 2 or 3) and long-term kidney dysfunction. In the discovery cohort (N= 437), we identified 413 higher plasma abundances of protein targets and 40 lower plasma abundances of protein targets associated with COVID-AKI (adjusted p <0.05). Of these, 62 proteins were validated in an external cohort (p <0.05, N =261). Results: We demonstrate that COVID-AKI is associated with increased markers of tubular injury (NGAL) and myocardial injury. Using estimated glomerular filtration (eGFR) measurements taken after discharge, we also find that 25 of the 62 AKI-associated proteins are significantly associated with decreased post-discharge eGFR (adjusted p <0.05). Proteins most strongly associated with decreased post-discharge eGFR included desmocollin-2, trefoil factor 3, transmembrane emp24 domain-containing protein 10, and cystatin-C indicating tubular dysfunction and injury. Conclusions: Using clinical and proteomic data, our results suggest that while both acute and long-term COVID-associated kidney dysfunction are associated with markers of tubular dysfunction, AKI is driven by a largely multifactorial process involving hemodynamic instability and myocardial damage.

2023-12-01 | GSE225349 | GEO

Comprehensive Landscape of SA-AKI Revealed by Integrated Proteomics and Metabolomics Analysis

Project description:Sepsis-associated acute kidney injury (SA-AKI) is a severe and life-threatening condi-tion with high morbidity and mortality among emergency patients, and it poses a sig-nificant risk of chronic renal failure. Clinical treatments for SA-AKI remain reactive and non-specific, lacking effective diagnostic biomarkers or treatment targets. In this study, we established an SA-AKI mouse model using LPS and performed proteomics and metabolomics analyses. A variety of bioinformatic analyses, including Gene Set En-richment Analysis (GSEA), Weighted Gene Co-expression Network Analysis (WGCNA), protein and protein interactions (PPI), and MetaboAnalyst analysis, were conducted to investigate the key molecules of SA-AKI. Proteomics and metabolomics analyses re-vealed that sepsis led to impaired renal mitochondrial function and metabolic disorders. Immune-related pathways were found to be activated in kidneys upon septic infection. The catabolic products of polyamines accumulated in septic kidneys. Overall, our study provides a more comprehensive understanding of SA-AKI and identifies potential pathways for this condition.

2023-10-24 | PXD044371 | Pride

Integrative analysis of transcriptome and metabolome provide new insights into mechanisms of Capilliposide A against cisplatin-induced nephrotoxicity

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2023-10-31 | GSE246133 | GEO

Urinary proteomics investigations into contrast-induced acute kidney injury

Project description:The incidence of CI-AKI varies from 5% to 20% among hospitalized patients. However, research on the pathophysiological mechanism and biomarkers of CI-AKI has not been deep so far, especially research with LC-MS/MS methods. MS has brought proteomics research into the modern era and continues to be the best choice for accurate medicine. Thus, we identified the urine proteins of CI-AKI patients with LC-MS/MS methods and compared the differences in urine protein expression between CI-AKI patients and non-CI-AKI patients with bioinformatics analysis. Several DEPs were identified in CI-AKI patients, some of which are related to kidney diseases, including annexin A2 (ANXA2), growth differentiation factor 15 (GDF15) and retinol-binding protein 4 (RBP4). We think that they are likely to be biomarkers of CI-AKI. Among the DEPs, we found that the number and degree of proteins expressed in tubules were more significant than those in glomeruli, which indicated that tubule injury may play a more important role in CI-AKI. Through bioinformatics analysis, we found that the immune response and inflammation were involved in CI-AKI, which indicated that the immune system and inflammatory response may participate in CI-AKI progression. Our study revealed some proteins that are likely to be biomarkers and provided a further understanding of CI-AKI.

2021-02-21 | PXD024271 |

Integrated host and viral transcriptome analyses reveal pathology and inflammatory response mechanisms to ALV-J injection in SPF chicken

Project description:Avian leukosis virus (ALV) causes substantial economic losses from mortality and decreased performance in poultry industry. To characterize the response to ALV challenge, we developed a novel methodology that combines four datasets: mRNA expression and their associated regulatory factors of miRNA and lncRNA, and ALV gene expression. Specific Pathogen-Free (SPF) layer chickens were assigned to the ALV-infected or control group. Spleen samples (n=6) were collected at 40 days post injection (dpi), and sequenced. Comparing the infected and non-infected groups, 864 genes, 7 miRNAs and 17 lncRNAs were differentially expressed.

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Light induced targeting enables proteomics on endogenous condensates

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2024-10-18 | GSE270770 | GEO

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