Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

GV-971 prevents severe acute pancreatitis by remodeling the microbiota-metabolic-immune axis

ABSTRACT: GV-971 prevents severe acute pancreatitis by remodeling the microbiota-metabolic-immune axis

PROVIDER: PRJNA1129455 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR29640933_1.fastq.gz	Fastqsanger.gz
	SRR29640933_2.fastq.gz	Fastqsanger.gz
	SRR29640934_1.fastq.gz	Fastqsanger.gz
	SRR29640934_2.fastq.gz	Fastqsanger.gz
	SRR29640935_1.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 24

Similar Datasets

GV-971 prevents severe acute pancreatitis by remodeling the microbiota-metabolic-immune axis

Project description:Despite recent advances, severe acute pancreatitis (SAP) remains an extremely lethal inflammation with limited treatment options. Here, we provide compelling evidence of GV-971 (sodium oligomannate), an anti-Alzheimer's medication, as being a protective agent in various mouse SAP models. Microbiome sequencing, along with fecal microbiota transplantation and mass cytometry technology, unveiled that GV-971 reshapes the gut microbiota, increasing Faecalibacterium populations and modulating both peripheral and intestinal immune systems. A metabolomics analysis of cecal contents from GV-971–treated SAP mice further identified short-chain fatty acids, including propionate and butyrate, as key metabolites in inhibiting macrophage M1 polarization and subsequent lethal inflammation by blocking the MAPK pathway. These findings suggest GV-971 as a promising therapeutic for SAP by targeting the microbiota metabolic immune axis.

2024-07-04 | GSE271034 | GEO

Hepatic transcriptome analysis of control, acute pancreatitis and severe acute pancreatitis mice

Project description:Hepatic transcriptome analysis of control, acute pancreatitis and severe acute pancreatitis mice

| PRJNA637754 | ENA

Gene expression in lung tissue, blood and spleen of mice with severe acute pancreatitis

Project description:Severe acute pancreatitis (SAP) is a critical disease, often complicated with multiple organ dysfunction, which seriously endangeres the life safety of patients. Previous studies have shown that cGAS-STING signaling pathway is significantly activated in mice with severe acute pancreatitis. In this study, we studied the gene expression in different tissues of normal mice and SAP mice to understand the differentially expressed genes and find the downstream genes of cGAS-STING signaling pathway.

2023-11-01 | GSE244335 | GEO

Hepatic transcriptome analysis of control, acute pancreatitis and severe acute pancreatitis mice

Project description:Purpose: The purpose of this study was to compare the hepatic transcriptome in the control group, acute pancreatitis, and severe acute pancreatitis, in order to identify metabolic gene changes during pancreatitis. Methods: 6-week Balb/c mice were subjected to AP (caerulein), SAP (caerulein and LPS) and control (saline), and mice liver tissues were harvested at 24 hours for RNA preparation (n=8 each group). Results: Among 11952 mapped genes, 8977 differentially expressed genes were identified by RNA-seq, including 351 genes induced in AP compare to Control and 5249 genes down regulated in SAP compare to AP. The genes up regulated were mainly related to fatty acid oxidation and ketone body synthesis especially Cpt2 and Acadvl, while genes that down regulated were associated with energy metabolism and inflammation. The overlap of two gene sets were 96 genes that involved in fatty acid metabolism. Conclusions: Our study revealed that in AP, genes associated with ketone body synthesis are upregulated in liver, in SAP, fatty acid oxidation related genes are downregulated in liver. Our data revealed the crosstalk between pancreas and liver, illustrated the difference of metabolism in AP and SAP.

2022-04-06 | GSE151927 | GEO

CircRNA expression profiles of pancreatic tissues from severe acute pancreatitis mice

Project description:Severe acute pancreatitis (SAP) is the most serious type of pancreatitis with high morbidity and mortality. The underlying mechanism behind SAP pathogenesis is complex and remains elusive. In the present study, next-generation RNA sequencing was utilized to identify circRNA transcripts in the pancreatic tissues from three SAP mice and three matched normal tissues. Our results discovered that 56 circRNAs were differently expressed in SAP compared with normal control. Our findings may provide novel insights for pathophysiological mechanism of SAP and offer novel targets for SAP.

2020-02-19 | GSE139173 | GEO

Hepatic transcriptome analysis of control and severe acute pancreatitis mice

Project description:Purpose: The purpose of this study was to compare the hepatic transcriptome in the control group and severe acute pancreatitis, in order to identify metabolic gene changes during pancreatitis. Methods: 6-week Balb/c mice were subjected to control (Saline*12) and SAP (caerulein *12), and mice liver tissues were harvested at 24 hours for RNA preparation (n=6 each group). Results: Among 18257 mapped genes, 3639 differentially expressed genes were identified by RNA-seq, including 1714 genes induced in SAP compare to Control and 1892 genes down regulated in SAP compare to Control. The genes up regulated were mainly related to immune response and ER stress, while genes that down regulated were associated with fatty acids oxidation and oxidative phosphorylation. Conclusions: Our study revealed that in SAP, genes associated with immune response are upregulated in liver, fatty acid oxidation related genes are downregulated in liver. Our data revealed the crosstalk between pancreas and liver, illustrated the change of liver metabolism in SAP.

2022-04-06 | GSE183158 | GEO

microRNA expression in Mestenteric lymph samples from rat models of acute pancreatitis

Project description:MicroRNAs in body fluids are becoming interesting markers for disease state. Here we assessed their presence in Mesenteric Lymph to identify candidate biomarkers for pancreatitis using a rat model of the disease. We used Affymetrix microRNA arrays to assess the differences in mesenteric lymph fluid miRNAs in a taurocholate induced rat model of pancreatitis Mesenteric lymph was collected from five biological replicates from control sham operated animals (SHAM), fluid resuscitated taurocholate induced acute pancreatitis (RAP) and non-resuscitated taurocholate induced pancreatitis animals (AP). The latter group represent a more severe form of the disease.

2014-03-31 | E-GEOD-42455 | biostudies-arrayexpress

From Moderately Severe to Severe Hypertriglyceridemia Induced Acute Pancreatitis: Circulating miRNAs Play Role as Potential Biomarkers

Project description:Study the serum miRNA expression profiles in hypertriglyceridemia induced acute pancreatitis and report a possible role of circulating miRNAs as biomarker in the progression of HTAP.

2014-06-05 | E-MTAB-2642 | biostudies-arrayexpress

Hepatic transcriptome analysis of control and severe acute pancreatitis mice

Project description:Hepatic transcriptome analysis of control and severe acute pancreatitis mice

| PRJNA759329 | ENA

Gene Expression Profiling of Acute Pancreatitis

Project description:Peripheral blood was collected from 87 patients with acute pancreatitis (AP) of varying severity (Mild=57, Moderately-Severe=20, Severe=10) within 24 hours of presentation to the hospital and from 32 healthy controls. RNA-Seq was performed to identify changes in expression in severe AP cf. mild, moderately-severe, and healthy controls.

2022-03-01 | GSE194331 | GEO

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data