T2D Monocyte Inflammatory Signature

Gu et al. report that monocytes in type 2 diabetes PBMCs show an inflammatory and antigen-presenting profile, centered on CD14 monocytes and intermediate monocytes.

Key Findings

Monocyte Subset Composition

  • In the Gu et al. 2024 PBMC atlas, CD14 monocyte proportions were lower in T2D, while CD16 and intermediate monocytes were higher.
  • Li et al. 2025 reported a significant increase in overall monocyte proportions in T2D versus healthy controls.
  • Li et al. 2025 reclustered monocytes into classical, intermediate, and non-classical subsets and reported higher intermediate monocytes and lower classical monocytes in T2D.
  • In Li et al. 2025’s subtype analysis, subtype B showed lower classical monocytes, while subtypes A and B showed higher intermediate monocyte proportions than healthy controls.
  • Zhao and Fang 2025 reclustered monocytes into dendritic cells, CD14+ monocytes, and FCGR3A+ monocytes and reported 175 monocyte DEGs (51 up, 124 down) in T2DM versus healthy controls.

Inflammatory State and Antigen Presentation

  • Gu et al. 2024 reported that CD14 monocytes from T2D participants had higher pro-inflammatory module scores based on CXCL8, CCL2, CCL3, CCL5, IL1B, CXCL9, and CXCL10.
  • Gu et al. 2024 pseudobulk analysis showed pro-inflammatory genes were more highly expressed in T2D CD14 monocytes.
  • Gu et al. 2024 GO enrichment in T2D CD14 monocytes highlighted MHC class II protein complex binding, MHC protein complex binding, T-cell receptor binding, and cytokine binding.
  • Gu et al. 2024 reported that intermediate monocytes in T2D showed higher MHC class II gene expression, consistent with antigen-presentation activity.
  • Zhao and Fang 2025 reported monocyte DEG enrichment for cytokine activity, cytokine binding, S100 protein binding, and HALLMARK_INTERFERON_GAMMA_RESPONSE.

WGCNA Modules and Clinical Correlations

  • Zhao and Fang 2025 found that a fasting-glucose-associated monocyte module was enriched for the chemokine signaling pathway.
  • Zhao and Fang 2025 reported monocyte-clinical indicator correlations involving CLEC7A, SIGLEC14, AC018755.4 (negatively correlated with HbA1c), and VSTM1 (negatively correlated with FINS and HOMA-IR), but these correlations are exploratory because the cohort contains only 6 participants.

Cell-Interaction Signal

  • Gu et al. 2024 CellChat analysis showed increased sending signaling and higher outgoing interaction strength from CD14 monocytes in T2D.
  • Gu et al. 2024 reported increased RETN-CAP1 interactions between CD14 monocytes and CD4 cytotoxic T cells, CD8 effector memory T cells, gamma-delta T cells, and MAIT cells.
  • These Gu et al. 2024 observations support a model in which T2D monocytes may help sustain adaptive immune activation, but the direction of causality is not proven by the cross-sectional single-cell data.
  • Li et al. 2025 inferred stronger T-cell-monocyte communication in T2D than healthy controls, with subtype B showing the largest number and strength of interactions.
  • Li et al. 2025 reported broad MHC-I pathway communication across T-cell and monocyte subtypes and subtype-specific TNF and CCL signaling patterns involving monocytes.
  • These Li et al. 2025 results converge with Gu et al. 2024’s monocyte-antigen-presentation findings, but Li et al.’s cross-accession control design means the exact direction and magnitude of monocyte composition shifts should be treated cautiously.

Manuscript Use

  • This page supports claims that T2D PBMC changes include per-cell inflammatory state changes, not only altered immune-cell proportions.
  • It is relevant to distinguishing monocyte abundance from monocyte activation in PBMC immune changes in type 2 diabetes.
  • Zhao and Fang 2025 can support a pathway-level monocyte inflammatory context, especially interferon-gamma and chemokine signaling, but should not be used as high-confidence directionality evidence.

Sources