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

Topics Community

Article

Cross-talk between oxidative stress and lipid metabolism regulators reveals molecular clusters and immunological characterization in polycystic ovarian syndrome

15 Aug 2024

Abstract excerpt

BACKGROUND: Changes in the oxidative stress and lipid metabolism (OSLM) pathways play important roles in polycystic ovarian syndrome (PCOS) pathogenesis and development. Consequently, a systematic analysis of genes related to OSLM was conducted to identify molecular clusters and explore new biomarkers that are helpful for the diagnostic of PCOS. METHODS: Gene expression and clinical data from 22 PCOS women and 14...

Source

Identifiers

PMID: 39143634
DOI: 10.1186/s12944-024-02237-3

Provenance

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 31 Aug 2026.

Community interpretation

Discuss the evidence

Ask a question, add context or challenge an interpretation. Community activity is separate from scientific evidence strength.

0

discussions

0

replies

Citations encouraged

Claims remain attributable.

No discussion yet

Be the first to add a careful, cited interpretation.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Cross-talk between oxidative stress and lipid metabolism regulators reveals molecular clusters and immunological characterization in polycystic ovarian syndromePMID 39143634Read ↗

Identification of biomarkers related to oxidative stress in polycystic ovary syndrome based on bioinformaticsSemantic proximity Read ↗

Identification and immune features of cuproptosis-related molecular clusters in polycystic ovary syndromeSemantic proximity Read ↗

Transcriptome Profiling Revealed the Relationship Between Immune-Related Genes and m6A Modifiers in Polycystic Ovary SyndromeSemantic proximity Read ↗

Unveiling the molecular landscape of PCOS: identifying hub genes and causal relationships through bioinformatics and Mendelian randomization.Semantic proximity Read ↗

Transcriptomic Profiling Reveals Potential Genes Involved in the Immune Landscape of Polycystic Ovary Syndrome: An Exploratory StudySemantic proximity Read ↗

Identification of key genes associated with polycystic ovary syndrome (PCOS) and ovarian cancer using an integrated bioinformatics analysisSemantic proximity Read ↗

Identification of Key genes associated with polycystic ovary syndrome (PCOS) and ovarian cancer using an integrated bioinformatics analysisSemantic proximity Read ↗

Identification of Immune-Associated Genes in Diagnosing Polycystic Ovary Syndrome with Metabolic Syndrome by Weighted Gene Co-expression Network AnalysisSemantic proximity Read ↗

Identification of the hub genes in polycystic ovary syndrome based on disease‐associated molecule networkSemantic proximity Read ↗

Systems biology and in silico-based analysis of PCOS revealed the risk of metabolic disordersSemantic proximity Read ↗

Discovering common pathogenetic processes between SARS-CoV-2 infection and polycystic ovary syndrome based on an integrated bioinformatics approach and experiment validationSemantic proximity Read ↗

Transcriptome profiling reveals dysregulation of inflammatory and protein synthesis genes in PCOSSemantic proximity Read ↗

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