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Cellular senescence
Research brief

SGK1 linked to myeloid cell senescence markers in ME/CFS: transcriptomic and cell-model study

In an abstract of an integrative transcriptomic and cell-model study, SGK1 was identified as a candidate regulator associated with myeloid cell senescence-related alterations in ME/CFS; the authors call for validation in primary patient immune cells and clinical cohorts. [1]

Automatic summary · not editorially reviewed

The key findings

  1. The authors used bulk transcriptomic dataset GSE14577 and intersected ME/CFS-correlated gene modules with aging-related genes from the GenAge database to obtain candidate genes. [1]

  2. Single-cell RNA sequencing data suggested SGK1 expression was enriched in myeloid cell populations, including monocytes and neutrophils, in individuals with ME/CFS. [1]

  3. In D-galactose-induced senescent THP-1 cells, SGK1 knockdown markedly reduced mRNA levels of the senescence markers p16, p21 and p53. [1]

The source at a glance

Study type / format
Integrative transcriptomic and computational study with in vitro cell-model validation (abstract)
Population / context
People with ME/CFS in public transcriptomic datasets and D-galactose-induced senescent THP-1 cells in vitro
Summary based on
Study abstract
Original publication
October 16, 2026

ME/CFS transcriptomes screened for aging-related hub genes

The authors describe ME/CFS as a complex illness without objective diagnostic biomarkers or a clear understanding of its pathophysiology, with immune dysregulation and chronic inflammation resembling aging phenotypes. They asked whether myeloid cell senescence plays a role, which they say had not been explored. Using the bulk transcriptomic dataset GSE14577, they identified differentially expressed genes and used weighted gene co-expression network analysis to find modules correlated with the ME/CFS phenotype. Candidate genes came from intersecting these modules with aging-related genes from the GenAge database.

Supporting source [1]

SGK1 enriched in myeloid cells; knockdown lowered p16, p21, p53

Core hub genes were selected using LASSO regression and random forest machine learning; HMGCR and SGK1 emerged. Functional enrichment linked candidate genes to cellular senescence and inflammation pathways. Single-cell RNA sequencing data (GSE214283) suggested SGK1 expression was enriched in myeloid cell populations, including monocytes and neutrophils, in individuals with ME/CFS, whereas HMGCR showed a broader pattern. Single-gene analysis associated SGK1 with autophagy and lysosomal function. In vitro, SGK1 was significantly upregulated in D-galactose-induced senescent THP-1 cells, and SGK1 knockdown markedly reduced mRNA levels of the senescence markers p16, p21 and p53.

Supporting source [1]

Candidate link only; primary patient cells and cohorts untested

The authors conclude that SGK1 is a candidate molecule associated with myeloid cell senescence-related alterations in ME/CFS, and that the integrated analyses suggest a potential link between SGK1 expression and aging-associated immune alterations. They state that further validation in primary ME/CFS-derived immune cells and clinical cohorts is required to determine the biological significance and clinical relevance of SGK1. This is an abstract; the full text was not reviewed. The described work is an association and cell-model study, not evidence that SGK1 causes ME/CFS or that modifying it benefits patients.

Supporting source [1]

How to interpret this

Abstract only; the full text was not reviewed. Findings come from bioinformatic analyses of public datasets and an in vitro THP-1 cell senescence model. The authors state that validation in primary ME/CFS-derived immune cells and clinical cohorts is required. Associations do not establish causation or clinical benefit.

Based on the study abstract; the full paper, tables and supplementary data were not reviewed.

Source & supporting passages

Read the quoted passagesIn the language of the original source
  1. Finding 1 ↑

    aging-related genes from the GenAge database
  2. Finding 2 ↑

    enriched in myeloid cell populations, including monocytes
  3. Finding 3 ↑

    markedly reduced the mRNA expression levels of

AI-assisted summary with linked source passages. No independent editorial or clinical review.

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