Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Potential biomarkers: differentially expressed proteins of the extrinsic coagulation pathway in plasma samples from patients with depression

1 Jan 2021

Abstract excerpt

Depression is a severe disabling psychiatric illness and the pathophysiological mechanisms remain unknown. In previous work, we found the changes in extrinsic coagulation (EC) pathway proteins in depressed patients compared with healthy subjects were significant. In this study, we screened differentially expressed proteins (DEPs) in the EC pathway, and explored the molecular mechanism by constructing a...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Bipolar Disorder and Treatment
Share to Mental Health Research Topics
Share to Tryptophan and brain disorders

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Source

Identifiers

PMID: 34488523
DOI: 10.1080/21655979.2021.1971037

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 8 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Potential biomarkers: differentially expressed proteins of the extrinsic coagulation pathway in plasma samples from patients with depressionPMID 34488523Read ↗

Screening and identification of key biomarkers of depression using bioinformaticsSemantic proximity Read ↗

Genome-wide study of key genes and scoring system as potential noninvasive biomarkers for detection of suicide behavior in major depression disorderSemantic proximity Read ↗

Uncovering plasma protein biomarkers linked to depression: A differential abundance analysis and Mendelian randomization using large-scale data.Semantic proximity Read ↗

Identification of Core Genes and Pathways in Major Depressive Disorder Applying BioinformaticsSemantic proximity Read ↗

Enriched pathways for major depressive disorder identified from a genome-wide association study.Semantic proximity Read ↗

Identification of genes, pathways and transcription factor-miRNA-target gene networks and experimental verification in venous thromboembolismSemantic proximity Read ↗

Identification of Common Genes and Screening of Therapeutic Agents for Major Depressive Disorder and Alzheimer's Disease through Integrated Bioinformatics ApproachSemantic proximity Read ↗

Potential Candidates for Biomarkers in Bipolar Disorder: A Proteomic Approach through Systems BiologySemantic proximity Read ↗

Identification of ferroptosis-related biomarkers in depression using a bioinformatics approachSemantic proximity Read ↗

Proteomic approaches to identify blood-based biomarkers for depression and bipolar disordersSemantic proximity Read ↗

Immunological analysis and differential genes screening of venous thromboembolismSemantic proximity Read ↗

Potential diagnostic markers and therapeutic targets for major depressive disorder based on bioinformatics analysis and Molecular Docking StudiesSemantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.