# Phospholipase D: emerging therapeutic targets in signaling, metabolism, and immune-oncology

**Authors:** Lin Tang, Yunxiao Ge, Yuanying Li, Xiaobing Chen, Kangdong Liu, Zigang Dong, Hui Liu

PMC · DOI: 10.1186/s12964-025-02596-z · Cell Communication and Signaling : CCS · 2025-12-20

## TL;DR

This paper reviews how the PLD enzyme family regulates signaling, metabolism, and immunity, and highlights its potential as a target for treating cancer, autoimmune diseases, and metabolic disorders.

## Contribution

The paper provides a comprehensive overview of PLD isoform-specific roles in disease mechanisms and emphasizes the need for isoform-specific inhibitors for therapeutic development.

## Key findings

- PLD isoforms regulate key signaling pathways like Wnt/β-catenin, PKC, and mTOR.
- PLD activity influences immune responses, glucose metabolism, and tumor microenvironment remodeling.
- Dysregulated PLD is linked to metabolic syndrome, autoimmune diseases, and cancer progression.

## Abstract

The phospholipase D (PLD) family, comprising six evolutionarily conserved isoforms (PLD1-6), serves as master regulators of lipid signaling, membrane dynamics, and cellular communication. Functional divergence driven by structural heterogeneity enables PLD-mediated control of signal transduction, metabolic homeostasis, and immune responses. Activated by stimuli like growth factors and hormones, PLD governs core signaling networks, including Wnt/β-catenin, protein kinase C (PKC), and mammalian target of rapamycin (mTOR) pathways while modulating glucose uptake and lipid metabolism. PLD isoforms coordinate adaptive and innate immunity through T/B cell activation, macrophage polarization, and cytokine regulation. Dysregulated PLD activity promotes metabolic syndrome, autoimmune diseases, and remodeling of the tumor immune microenvironment, positioning PLD as a therapeutic target. This review integrates isoform-specific mechanisms in signaling, metabolism, immunity and tumor microenvironment, and underscores the critical need for isoform-specific inhibitors to dissect pathological mechanisms and advance disease understanding. By deconvoluting PLD’s pleiotropic roles across signaling axis, lipid-glucose crosstalk, and immune circuitry, this work delineates a roadmap for developing targeted combinatorial therapies that exploit PLD’s spatial-temporal regulation of cellular homeostasis.

The phospholipase D (PLD) enzyme family serves as a central regulatory node governing interconnected biological processes, including cellular signal transduction, metabolic reprogramming, and immunomodulatory networks, particularly within tumor-immune microenvironment dynamics. A comprehensive understanding of PLD's molecular underpinnings in these cascades holds significant translational potential for developing targeted therapies against cancer, autoimmune disorders, and metabolic diseases.

## Linked entities

- **Genes:** PLD1 (phospholipase D1) [NCBI Gene 5337], PLD2 (phospholipase D2) [NCBI Gene 5338], PLD3 (phospholipase D family member 3) [NCBI Gene 23646], PLD4 (phospholipase D family member 4) [NCBI Gene 122618], PLD5 (phospholipase D family member 5) [NCBI Gene 200150], PLD6 (phospholipase D family member 6) [NCBI Gene 201164]
- **Proteins:** Pld (Phospholipase D), ctnnb1.S (catenin beta 1 S homeolog)
- **Diseases:** metabolic syndrome (MONDO:0000816), cancer (MONDO:0004992)

## Full-text entities

- **Genes:** CTNNB1 (catenin beta 1) [NCBI Gene 1499] {aka CTNNB, EVR7, MRD19, NEDSDV, armadillo}, MTOR (mechanistic target of rapamycin kinase) [NCBI Gene 2475] {aka FRAP, FRAP1, FRAP2, RAFT1, RAPT1, SKS}, GPLD1 (glycosylphosphatidylinositol specific phospholipase D1) [NCBI Gene 2822] {aka GPIPLD, GPIPLDM, PIGPLD, PIGPLD1, PLD}, PRRT2 (proline rich transmembrane protein 2) [NCBI Gene 112476] {aka BFIC2, BFIS2, DSPB3, DYT10, EKD1, FICCA}
- **Diseases:** autoimmune diseases (MESH:D001327), metabolic syndrome (MESH:D024821), tumor (MESH:D009369)
- **Chemicals:** lipid (MESH:D008055), glucose (MESH:D005947)

## Full text

_Full body text omitted from this summary view._ Fetch the complete paper as Markdown: https://tomesphere.com/paper/PMC12837048/full.md

## Figures

9 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12837048/full.md

## References

2 references — full list in the complete paper: https://tomesphere.com/paper/PMC12837048/full.md

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Source: https://tomesphere.com/paper/PMC12837048