# A plasma proteomic signature of the actin-coagulation axis accurately predicts progression to active tuberculosis

**Authors:** Peng Lu, Weiwei Gao, Xiaoyan Ding, Jingjing Pan, Hui Ding, Qiao Liu, Limei Zhu, Xiang Huo

PMC · DOI: 10.3389/fmicb.2025.1746190 · Frontiers in Microbiology · 2026-01-26

## TL;DR

A blood protein signature can predict who will develop active tuberculosis, offering a new way to prevent the disease.

## Contribution

A novel plasma proteomic signature linking actin cytoskeleton and coagulation changes to TB progression is identified.

## Key findings

- A 33-protein signature predicted TB progression with high accuracy (AUC = 0.992).
- Proteomic changes were detectable up to 2 years before clinical symptoms appeared.
- Key hub proteins include ACTR3, ACTN1, MYH9, and F2, linked to actin remodeling and coagulation.

## Abstract

Predicting progression to active tuberculosis (TB) is a critical unmet need, as current immunological tests only detect infection but cannot discriminate those who will develop active disease. A reliable prognostic biomarker could enable targeted preventive therapy and transform TB control strategies.

We performed deep plasma proteomics using data-independent acquisition mass spectrometry on a prospective cohort of 60 TB-exposed students in Jiangsu Province, China, comprising 40 individuals with Mycobacterium tuberculosis infection and 20 uninfected controls.

Over 2 years of follow-up, 21 of the 40 infected participants progressed to active disease, and a LASSO-Cox model with internal cross-validation for tuning the regularization parameter (λ) was used to develop a prognostic signature from baseline plasma samples. A 33-protein signature predicted progression to active TB with high discriminatory performance in this cohort (AUC = 0.992, 95% CI 0.977–1.0). This signature revealed a distinct pre-symptomatic state in progressors, defined by a pro-thrombotic shift in the coagulation cascade and profound disruption of actin cytoskeleton dynamics. The proteomic alterations were detectable up to 2 years before clinical diagnosis, providing a potential window for intervention. Functional network analysis identified key hub proteins including ACTR3, ACTN1, and MYH9 (actin remodeling) and F2 (coagulation).

We identified a plasma protein signature that accurately predicts progression from latent to active tuberculosis, linking disease onset to dysregulation of the actin cytoskeleton and coagulation. This biomarker provides a basis for precision preventive therapy and identifies novel host-directed therapeutic targets.

## Linked entities

- **Genes:** ACTR3 (actin related protein 3) [NCBI Gene 10096], ACTN1 (actinin alpha 1) [NCBI Gene 87], MYH9 (myosin heavy chain 9) [NCBI Gene 4627], F2 (coagulation factor II, thrombin) [NCBI Gene 2147]
- **Diseases:** tuberculosis (MONDO:0018076), active tuberculosis (MONDO:0018076)

## Full-text entities

- **Genes:** ACTN1 (actinin alpha 1) [NCBI Gene 87] {aka BDPLT15}, MYH9 (myosin heavy chain 9) [NCBI Gene 4627] {aka BDPLT6, DFNA17, EPSTS, FTNS, MATINS, MHA}, ACTR3 (actin related protein 3) [NCBI Gene 10096] {aka ARP3}
- **Diseases:** Mycobacterium tuberculosis infection (MESH:D014376), thrombotic (MESH:D013927), infected (MESH:D007239)

## Full text

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## Figures

5 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12883649/full.md

## References

27 references — full list in the complete paper: https://tomesphere.com/paper/PMC12883649/full.md

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Source: https://tomesphere.com/paper/PMC12883649