Omics · study · 2026
γ-Tocopherol attenuates COPD-associated macrophage inflammation through the PSEN1–SYT7–PI3K/Akt axis
Listed in NCBI GEO
Rationale: Chronic obstructive pulmonary disease (COPD) features persistent airway inflammation, oxidative/nitrative stress, and macrophage activation. γ-tocopherol has antioxidant and anti-inflammatory activity, but its disease relevance and molecular targets are unclear.
Description
Objectives: To test whether γ-tocopherol attenuates disease-associated inflammation and define the macrophage mechanism.
Methods
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Multi-omics integrated analysis combined with γ-tocopherol-treated COPD-like mouse models was performed to evaluate the anti-inflammatory effects of γ-tocopherol and identify its target cell populations. Furthermore, target prediction, cellular thermal shift assay, co-immunoprecipitation, and other experimental approaches were used to identify the molecular target of γ-tocopherol and elucidate the downstream mechanisms underlying its anti-inflammatory and antioxidant effects.
Measurements and Main Results: COPD was associated with altered γ-tocopherol metabolism and vitamin E-related transcriptional programs. γ-tocopherol reduced inflammatory cell accumulation, nitric oxide metabolites, macrophage activation, and lung inflammation in COPD-like mouse models. Alveolar macrophages were identified as the primary target cell population of γ-tocopherol in lung tissue. γ-tocopherol treatment suppressed nitric oxide synthesis and inflammatory cytokine release in macrophages, and this effect depended on the engagement of γ-tocopherol with PSEN1.
Further mechanistic analysis identified SYT7 as a downstream effector of PSEN1, linking γ-tocopherol treatment to reduced PI3K/AKT signaling activity and attenuated inflammatory readouts. Conclusions: γ-tocopherol attenuates macrophage-centered inflammation in COPD-like models through a PSEN1–SYT7–PI3K/AKT signaling axis.
Links
Get the data
- GEO FTP directory ftp.ncbi.nlm.nih.gov/geo/series/GSE336nnn/GSE336580 ↗
download · from NCBI GEO
Where it is published
- GEO accession page ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE336580 ↗
landing page · from NCBI GEO
Documentation and papers
- PRJNA1482019 ncbi.nlm.nih.gov/bioproject/PRJNA1482019 ↗
project · from NCBI GEO
Topics
- Stated by source
- Expression profiling by high throughput sequencing · Mus musculus
- From keywords
- Life Sciences
- Inferred from text
- Disease 75%
Provenance · 1 source records, 8 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| NCBI GEO | GSE336580 | 11 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| concepts[disease].local:disease:disease | enrichment · NCBI GEO | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[field].local:field:life-sciences | mapping · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| concepts[method].geo_series_type:expression-profiling-by-high-throughput-sequencing | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /gdstype |
| concepts[organism].NCBITaxon:10090 | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /taxon |
| description | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /summary |
| publication_date | source · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| title | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /title |