Browse
Submit Data
Databases
API
Help

Dataset Information

5 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Plasma lipidomics approach in early and specific Alzheimer Disease diagnosis

ABSTRACT: The study of lipid profiles in plasma samples could help in the identification of early AD changes and new potential biomarkers.

ORGANISM(S): Homo sapiens (human)

SUBMITTER:

PROVIDER: S-BSST877 | biostudies-other |

REPOSITORIES: biostudies-other

ACCESS DATA

Json Xml

Similar Datasets

Epigenomics and Lipidomics Integration in Alzheimer Disease: Pathways Involved in Early Stages.

Project description: Not available

| S-EPMC8698767 | biostudies-literature

Metabolomics in early Alzheimer's disease: identification of altered plasma sphingolipidome using shotgun lipidomics.

Project description: Not available

| S-EPMC3136924 | biostudies-literature

Lipidomics reveals new lipid-based lung adenocarcinoma early diagnosis model

Project description: Not available

| S-SCDT-10_1038-S44321-024-00052-Y | biostudies-other

Plasma tau in Alzheimer disease.

Project description: Not available

| S-EPMC5089525 | biostudies-literature

RNA-seq of human plasma microRNAs in Alzheimer Disease

Project description:MicroRNAs (miRNAs) could play an important role as potential Alzheimer Disease (AD) biomarkers. Plasma samples were collected from participants: Mild cognitive impairment (MCI) due to AD patients (n= 20), preclinical AD patients (n= 8) and healthy controls (n= 20). Then, small RNA sequencing analysis, followed by miRNA differential expression analysis comparing different methods (DESeq2, edgeR, NOISeq) were carried out.

2022-05-08 | E-MTAB-11103 | biostudies-arrayexpress

CSF proteomics in early Alzheimer Disease

Project description: Not available

| S-BSST1456 | biostudies-other

Omics-based Biomarkers for the Early Alzheimer Disease Diagnosis and Reliable Therapeutic Targets Development.

Project description: Not available

| S-EPMC6712290 | biostudies-literature

An integrated metabolomics and lipidomics approach for the study of metabolic network and early diagnosis in cerebral infarction

Project description:Cerebral infarction (CI) remains a major cause of high mortality and long-term disability worldwide. The exploration of biomarkers and pathogenesis is crucial for early diagnosis of CI. Although the understanding of metabolic perturbations underlying CI has increased in recent years, the relationship between altered metabolites and disease pathogenesis has only been partially elucidated and requires further investigation. Here, we performed an integrated metabolomics and lipidomics analysis on 59 healthy subjects and 47 CI patients. Ultimately, 49 metabolites and 68 lipids biomarkers were identified and enriched in 24 disturbed pathways. The metabolic network revealed a significant interaction between altered lipids and other metabolites. Using ROC analysis, a panel of 3 polar metabolites and 7 lipids was optimized in training set, which was taurine, oleoylcarnitine, creatinine, PE(22:6/P-18:0), Cer 34:2, GlcCer(d18:0/18:0), DG 44:0, LysoPC(16:0), 22:6-OH/LysoPC and TAG58:7-FA22:4. Subsequently, a support vector machine (SVM) model was constructed and validated, which showed an excellent predictive ability in validation set. Thereby, the integrated metabolomics and lipidomics approach could contribute to a comprehensive understanding of the metabolic dyshomeostasis associated with the pathogenesis underlying CI. The present research may promote a deeper understanding and early diagnosis of CI in clinic.

2023-03-11 | PXD036199 | Pride

Associations of Plasma Phospho-Tau217 Levels With Tau Positron Emission Tomography in Early Alzheimer Disease.

Project description: Not available

| S-EPMC7653537 | biostudies-literature

Plasma proteomics for the identification of Alzheimer disease.

Project description: Not available

| S-EPMC3626738 | biostudies-literature