Omics · study · 2026
Pathogenic IgG sialylation drives macrophage immunometabolic dysfunction and lung immunopathology via a Siglec-1–FcγR–VDAC1 axis
Listed in NCBI GEO
Immunoglobulin G (IgG) Fc glycosylation critically regulates antibody effector functions, yet the pathogenic potential of early glycoform dynamics during acute viral infection remains poorly understood.
Description
Here, we identify a transient enrichment of sialylated IgG (Sia-IgG) during the early phase of SARS-CoV-2 infection that acts as a key driver of lung immunopathology. Contrary to the conventional anti-inflammatory role of sialylation, early-phase Sia-IgG fails to confer protection upon secondary viral challenge and instead aggravates lung injury despite reduced viral burden.
Single-cell transcriptomic analysis of COVID-19 lungs reveals a selectively expanded SIGLEC1⁺ monocyte-derived macrophage population as a potential cellular target of this pathogenic signaling. Functional assays show that acute-phase IgG drives macrophage inflammatory infiltration in an FcγR-dependent manner. Moreover, acute-phase serum impairs phagocytic capacity and downregulates expression of the homeostatic marker CD206 in macrophages, indicative of a phenotypic shift toward a pro-inflammatory, dysfunctional state.
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Mechanistically, Sia-IgG coordinates the synergistic engagement of Siglec-1 and FcγRs, triggering mitochondrial immunometabolic collapse via VDAC1 oligomerization, excessive mitochondrial reactive oxygen species production, and impaired oxidative phosphorylation. Collectively, our findings define pathogenic IgG sialylation as a critical determinant of macrophage reprogramming, establishing a Siglec-1-FcγR-VDAC1 signaling axis that links humoral glycomic shifts to severe respiratory immunopathology during viral infection.
Links
Get the data
- GEO FTP directory ftp.ncbi.nlm.nih.gov/geo/series/GSE329nnn/GSE329962 ↗
download · from NCBI GEO
Where it is published
- GEO accession page ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE329962 ↗
landing page · from NCBI GEO
Documentation and papers
- PRJNA1462287 ncbi.nlm.nih.gov/bioproject/PRJNA1462287 ↗
project · from NCBI GEO
Topics
- Stated by source
- Expression profiling by high throughput sequencing · Homo sapiens
- From keywords
- Life Sciences
Provenance · 1 source records, 7 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| NCBI GEO | GSE329962 | 14 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| 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:9606 | 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 |