Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

DM

ABSTRACT: Diabetic mellitus (DM) is a disease that affects glucose homeostasis and has cause of complications, such as diabetic nephropathy (DN). For diagnose of the early DN, microalbuminuria is one of the mostly used biomarker currently. However, more early diagnostic biomarkers are desired rather than microalbuminuria.

ORGANISM(S): Homo Sapiens (human)

SUBMITTER: Tadashi Yamamoto

PROVIDER: PXD008683 | JPOST Repository | Thu May 31 00:00:00 BST 2018

REPOSITORIES: jPOST

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	DM_01_01.raw	Raw
	DM_01_02.raw	Raw
	DM_02_01.raw	Raw
	DM_02_02.raw	Raw
	DM_03_01.raw	Raw

Items per page:

1 - 5 of 20

Publications

Proteome Profiling of Diabetic Mellitus Patient Urine for Discovery of Biomarkers by Comprehensive MS-Based Proteomics.

Hirao Yoshitoshi Y Saito Suguru S Fujinaka Hidehiko H Miyazaki Shigeru S Xu Bo B Quadery Ali F AF Elguoshy Amr A Yamamoto Keiko K Yamamoto Tadashi T

Proteomes 20180206 1

Diabetic mellitus (DM) is a disease that affects glucose homeostasis and causes complications, such as diabetic nephropathy (DN). For early diagnosis of DN, microalbuminuria is currently one of the most frequently used biomarkers. However, more early diagnostic biomarkers are desired in addition to microalbuminuria. In this study, we performed comprehensive proteomics analysis of urine proteomes of diabetic mellitus patients without microalbuminuria and healthy volunteers to compare the protein ...[more]

PMID: 29415455

Similar Datasets

Identification of ethanolamine as a biomarker and therapeutic potential for diabetic retinopathy in glucose well-controlled diabetic patients

Project description:Diabetic retinopathy (DR) is the leading cause of blindness in the working-age population, and there are no diagnostic biomarkers and intervention methods for DR developed from glucose well-controlled diabetic patients (GW-DR) to date. Here, we established a prospective cohort of 2126 diabetic Chinese adults (DM) including1134 subjects without ocular diseases at baseline. After 2-year follow-up, 42 participants (21 new-onset GW-DR and 21 matched control) with HbA1c persistently less than 7% were enrolled to profile the serum metabolic features of GW-DR through targeted metabolomics. Among different levels of metabolites, the lower level of ethanolamine with an AUC of 0.954 was significantly associated with early-stage GW-DR risk compared to HbA1c with a 0.506 AUC. Moreover, ethanolamine attenuated diabetic retinal inflammation in STZ-induced diabetic rats with inactivating microglia and DAG-PKC pathway remodeling. In conclusion, ethanolamine, as a potential metabolic biomarker for early diagnosis of GW-DR, may provide a biomarker-based treatment for DR prevention. We then performed gene expression profiling analysis using data obtained from RNA-seq of 4 different cells at two time points.

2022-11-13 | GSE217573 | GEO

Investigating HMGB1 as a Potential Serum Biomarker for Early Diabetic Nephropathy Monitoring by Quantitative Proteomics

Project description:Current diagnostic methods for diabetic nephropathy (DN) lack precision, especially in early stages and monitoring progression. This study aims to find potential biomarkers for DN progression and evaluate their accuracy. Using serum samples from healthy controls (NC), diabetic patients (DM), early-medium stage DN (DN-EM), and late-stage DN (DN-L), researchers employed quantitative proteomics and Mfuzz clustering analysis revealed 15 proteins showing increased expression during DN progression, hinting at their biomarker potential. Combining Mfuzz clustering with weighted gene co-expression network analysis (WGCNA) highlighted five candidates (HMGB1, CD44, FBLN1, PTPRG, and ADAMTSL4). HMGB1 emerged as a promising biomarker, closely correlated with renal function changes. Experimental validation supported HMGB1’s upregulation under high glucose conditions, reinforcing its potential as an early detection biomarker for DN. This research advances DN understanding and identifies five potential biomarkers, notably HMGB1, as a promising early monitoring target. These findings set the stage for future clinical diagnostic applications in DN.

2023-12-28 | PXD047872 | Pride

Alterations of 5-Hydroxymethylcytosines in Circulating Cell-free DNA Reflect Retinopathy in Type 2 Diabetes

Project description:Diabetic retinopathy (DR) is a common microvascular complication that may cause severe visual impairment and blindness in patients with type 2 diabetes mellitus (T2DM). Early detection of DR will provide opportunities for more treatment options and better control of disease progression. Effective biomarkers, which are not currently available, may improve clinical outcomes through precise diagnosis and prognosis. We sought to develop a non-invasive diagnostic approach for diabetic retinopathy among type 2 diabetes mellitus based on 5-hydroxymethylcytosines (5hmC), an emerging epigenetic marker, in circulating cell-free DNA (cfDNA)

2021-11-20 | GSE140842 | GEO

Sturrock2015 - glioma growth

Project description:The paper describes a model of glioma. Created by COPASI 4.26 (Build 213) This model is described in the article: A mathematical model of pre-diagnostic glioma growth Marc Sturrock, Wenrui Hao, Judith Schwartzbaum, Grzegorz A. Rempala J Theor Biol. 2015 September 7; 380: 299–308 Abstract: Due to their location, the malignant gliomas of the brain in humans are very difficult to treat in advanced stages. Blood-based biomarkers for glioma are needed for more accurate evaluation of treatment response as well as early diagnosis. However, biomarker research in primary brain tumors is challenging given their relative rarity and genetic diversity. It is further complicated by variations in the permeability of the blood brain barrier that affects the amount of marker released into the bloodstream. Inspired by recent temporal data indicating a possible decrease in serum glucose levels in patients with gliomas yet to be diagnosed, we present an ordinary differential equation model to capture early stage glioma growth. The model contains glioma-glucose-immune interactions and poses a potential mechanism by which this glucose drop can be explained. We present numerical simulations, parameter sensitivity analysis, linear stability analysis and a numerical experiment whereby we show how a dormant glioma can become malignant. To cite BioModels Database, please use: BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models . To the extent possible under law, all copyright and related or neighbouring rights to this encoded model have been dedicated to the public domain worldwide. Please refer to CC0 Public Domain Dedication for more information.

2024-09-02 | BIOMD0000000801 | BioModels

Association between lncRNAs in plasma exosomes and diabetic retinopathy

Project description:Long noncoding RNA (lncRNA) in plasma exosomes is a potential non-invasive diagnostic biomarker for diabetic retinopathy (DR). However, the changes in plasma exosomal lncRNAs and diagnostic relevance in patients with DR patients remain unclear. A case–control study with type 2 diabetes mellitus (T2DM) and patients with comorbid DR were enrolled, and their clinical information and blood samples were collected.

2022-09-06 | GSE212594 | GEO

Transcriptional profiling of autophagy proficient and compromised cell lines, determined by expression levels of Atg5

Project description:Autophagy is activated in pancreatic ductal adenocarcinoma (PDAC) and is currently being considered a promising therapeutic target in clinical trials. PDAC is a highly lethal disease with incidence rate equalling mortality rate. Main reasons for PDAC lethality are late-stage diagnosis, high agressiveness and metastatic rate, lack of effective treatments as well as specific diagnostic markers. Here we show that varying levels of the Autophagy related gene 5 (Atg5) determine pancreatic tumor formation and malignancy. While homozygous deletion of Atg5 blocks tumor progression in an in vivo model of PDAC, heterozygous deletion increases tumor aggressiveness and metastasis. Further analyses reveal that monoallelic loss of Atg5 affects mitochondrial homeostasis, changes intracellular calcium oscillations, heightens extracellular cathepsin activities , and promotes a pro-tumorigenic inflammatory microenvironment collectively enhancing tumor cell migration, invasion, and metastasis. Future treatments should take into account that variations in the autophagy pathway may have opposing effects on pancreatic tumor load, especially considering the multitude of autophagy inhibitors currently tested in clinical trials.

2018-10-15 | E-MTAB-6275 | biostudies-arrayexpress

Value of lipocalin 2 as a potential biomarker for bacterial meningitis

Project description:Objectives: Central nervous system (CNS) infections are common causes of morbidity and mortality worldwide. We aimed to discover protein biomarkers that could rapidly and accurately identify the likely cause of the infections, essential for clinical management and improving outcome. Methods: We applied liquid chromatography tandem mass-spectrometry on 45 cerebrospinal fluid (CSF) samples from a cohort of adults with/without CNS infections to discover potential diagnostic biomarkers. We then validated the diagnostic performance of a selected biomarker candidate in an independent cohort of 364 consecutively treated adults with CNS infections admitted to a referral hospital in Vietnam. Results: In the discovery cohort, we identified lipocalin 2 (LCN2) as a potential biomarker of bacterial meningitis (BM) other than tuberculous meningitis. The analysis of the validation cohort showed that LCN2 could discriminate BM from other CNS infections (including tuberculous meningitis, cryptococcal meningitis and viral/antibody-mediated encephalitis), with the sensitivity: 0.88 (95% confident interval (CI): 0.77-0.94), the specificity: 0.91 (95%CI: 0.88-0.94) and the diagnostic odd ratio: 73.8 (95%CI: 31.8-171.4)). LCN2 outperformed other CSF markers (leukocytes, glucose, protein and lactate) commonly used in routine care worldwide. The combination of LCN2, CSF leukocytes, glucose, protein and lactate resulted in the highest diagnostic performance for BM (area under receiver-operating-characteristic-curve 0.96; 95%CI: 0.93-0.99). Conclusions: Our results suggest that LCN2 is a sensitive and specific biomarker for discriminating BM from a broad spectrum of other CNS infections. A prospective study is needed to assess the diagnostic utility of LCN2 in the diagnosis and management of CNS infections..

2020-08-20 | PXD020510 | Pride

Dapagliflozin alleviates renal inflammation and protects against diabetic kidney diseases dependent and independent of glucose levels [RNA-seq]

Project description:Diabetic kidney disease (DKD) has become the leading cause of end-stage renal disease worldwide. Therefore, efforts to understand DKD pathophysiology and prevent its development at the early phase are highly warranted. Here, we analyzed kidneys from healthy mice, diabetic mice, and diabetic mice treated with the sodium-glucose cotransporter 2 inhibitor dapagliflozin. Our combined method of ATAC and RNA sequencing revealed Csf2rb, Btla, and Isg15 as the key candidate genes associated with hyperglycemia, azotemia, and albuminuria. Their protein levels were altered together with multiple other inflammatory cytokines in the diabetic kidney, which was alleviated by dapagliflozin treatment. Cell culture of immortalized renal tubular cells and macrophages unraveled that dapagliflozin could directly effect on these cells in vitro as an anti-inflammatory agent independent of glucose concentrations. We further proved that dapagliflozin attenuated ischemia/reperfusion-induced chronic kidney injury and renal inflammation in mice. Overall, our data emphasize the importance of inflammatory factors to the pathogenesis of DKD, and provide valuable mechanistic insights into the renoprotective role of dapagliflozin.

2023-11-02 | GSE246576 | GEO

Dapagliflozin alleviates renal inflammation and protects against diabetic kidney diseases dependent and independent of glucose levels [ATAC-seq]

2023-11-02 | GSE246763 | GEO

Serum integrative omics reveals the landscape of human diabetic kidney disease

Project description:Diabetic kidney disease (DKD) is the most common microvascular complication of type 2 diabetes mellitus (2-DM). Currently, urine and kidney biopsy specimens are the major clinical resources for DKD diagnosis. The diagnostic values of blood in monitoring the onset and progression of DKD have not been well explored. To fully describe the biological changes in human blood after DKD, we recruited 1,513 participants including healthy adults and patients diagnosed with 2-DM, early stage of DKD (DKD-E), and advanced stage of DKD (DKD-A) from 4 independent medical centers. The collected serums were subjected to pilot proteomics and large-scale metabolomics, respectively. By performing deep profiling of serum proteomes and metabolomes, several insights were revealed. First, the pilot proteomics revealed that the combination of alpha 2-Macroglobulin, Cathepsin D, and CD324 served as a surrogate protein biomarker in monitoring DKD progression. Second, metabolomics demonstrated that galactose metabolism and glycerolipid metabolism are the major disturbed metabolic pathways in DKD. Serum metabolite, glycerol-3-galactoside, is an independent marker in predicting DKD. Third, integrating proteomics and metabolomics increased the diagnostic and predictive stability and accuracy in distinguishing DKD status. Our study provides a rich and open-access data resource to shed light on optimizing the management of diabetes.

2021-05-22 | MSV000087487 | MassIVE

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