# Identifying prioritization of potential targets for idiopathic pulmonary fibrosis: Proteome-wide Mendelian randomization and colocalization analyses

**Authors:** Gexiang Cai, Jingjing Liu, Mengsi Cai, Lianyou Shao

PMC · DOI: 10.1016/j.clinsp.2026.100913 · 2026-03-18

## TL;DR

This study identifies three plasma proteins linked to idiopathic pulmonary fibrosis, suggesting new potential targets for treatment.

## Contribution

MASP1 and S100A11 are novel protective targets, while WFIKKN2 is a risk-increasing target for idiopathic pulmonary fibrosis.

## Key findings

- MASP1 is associated with a decreased risk of idiopathic pulmonary fibrosis.
- S100A11 levels are inversely related to idiopathic pulmonary fibrosis risk.
- WFIKKN2 is linked to an increased risk of idiopathic pulmonary fibrosis.

## Abstract

•Mendelian randomization reveals causal plasma proteins for idiopathic pulmonary fibrosis.•MASP1 and S100A11 are novel therapeutic targets lowering IPF risk.•WFIKKN2 is a potential therapeutic target that increases IPF risk.

Mendelian randomization reveals causal plasma proteins for idiopathic pulmonary fibrosis.

MASP1 and S100A11 are novel therapeutic targets lowering IPF risk.

WFIKKN2 is a potential therapeutic target that increases IPF risk.

Idiopathic Pulmonary Fibrosis (IPF) is a chronic and progressive lung disorder characterized by limited therapeutic options. Thus, identifying new therapeutic targets for IPF is imperative.

The authors employed 2 large-scale circulating proteomic and IPF GWAS (Ncase = 2189, Ncontrol = 407,609) to conduct proteome-wide Mendelian randomization meta-analysis. Subsequently, the authors utilized Summary Mendelian Randomization analysis and Bayesian colocalization to enhance the screening of proteins. Lastly, MR analysis of protein-protein level ratio, two-step MR method, enrichment analysis, Protein-Protein Interaction (PPI), and druggability assessment were applied to explore the potential mechanisms of candidate proteins.

Through proteome-wide Mendelian randomization analysis and multiple validations, the authors identified 3 plasma proteins significantly associated with IPF. With strong evidence of colocalization and consistent support from SMR analysis, the gene-predicted MASP1 was correlated with decreased IPF risk (ORmeta = 0.46, 95% CImeta: 0.22‒0.99, Pmeta = 0.0478, PPH4 = 0.92). With suggestive colocalization support (PPH4 = 0.50), the levels of S100A11 were inversely related to IPF risk, with odds ratios of 0.53 (95% CIMR1 0.34–0.83, PMR1 = 0.0053). Conversely, the gene-predicted WFIKKN2 was associated with an increased risk of IPF (ORmeta = 1.31, 95% CImeta 1.15–1.48, Pmeta = 2.48E-05, PPH4 = 0.50). Their association was further supported by SMR analysis. Moreover, MR analysis of protein level ratio, mediator MR analysis, enrichment, and PPI network provided insights into the potential drug development based on the proteins.

Our proteome-wide Mendelian Randomization analysis highlighted MASP1, S100A11, and WFIKKN2 as potential targets for further clinical investigation in IPF. The specific mechanisms by which these proteins influence IPF pathogenesis require further elucidation through continued research.

## Linked entities

- **Genes:** MASP1 (MBL associated serine protease 1) [NCBI Gene 5648], S100A11 (S100 calcium binding protein A11) [NCBI Gene 6282], WFIKKN2 (WAP, follistatin/kazal, immunoglobulin, kunitz and netrin domain containing 2) [NCBI Gene 124857]
- **Diseases:** idiopathic pulmonary fibrosis (MONDO:0800029)

## Full-text entities

- **Genes:** NCF2 (neutrophil cytosolic factor 2) [NCBI Gene 4688] {aka NCF-2, NOXA2, P67-PHOX, P67PHOX}, WFIKKN1 (WAP, follistatin/kazal, immunoglobulin, kunitz and netrin domain containing 1) [NCBI Gene 117166] {aka C16orf12, RJD2, WFDC20A, WFIKKN}, LYPD4 (LY6/PLAUR domain containing 4) [NCBI Gene 147719] {aka SMR}, LSP1 (lymphocyte specific protein 1) [NCBI Gene 4046] {aka WP34, pp52}, TGFB1 (transforming growth factor beta 1) [NCBI Gene 7040] {aka CAEND1, CED, DPD1, IBDIMDE, LAP, TGF-beta1}, IFNG (interferon gamma) [NCBI Gene 3458] {aka IFG, IFI, IMD69}, CRP (C-reactive protein) [NCBI Gene 1401] {aka PTX1}, SAT2 (spermidine/spermine N1-acetyltransferase family member 2) [NCBI Gene 112483] {aka SSAT-2, SSAT2}, MASP1 (MBL associated serine protease 1) [NCBI Gene 5648] {aka 3MC1, CRARF, CRARF1, MAP-1, MAP1, MASP}, MUC2 (mucin 2, oligomeric mucus/gel-forming) [NCBI Gene 4583] {aka MLP, MUC-2, SMUC}, CDHR5 (cadherin related family member 5) [NCBI Gene 53841] {aka MLPCDH, MU-PCDH, MUCDHL, MUPCDH}, AP2A2 (adaptor related protein complex 2 subunit alpha 2) [NCBI Gene 161] {aka ADTAB, CLAPA2, HIP-9, HIP9, HYPJ}, BRSK2 (BR serine/threonine kinase 2) [NCBI Gene 9024] {aka C11orf7, PEN11B, SAD-A, SAD1, SADA, STK29}, S100A11 (S100 calcium binding protein A11) [NCBI Gene 6282] {aka HEL-S-43, MLN70, S100C}, CPVL (carboxypeptidase vitellogenic like) [NCBI Gene 54504] {aka HVLP}, IGDCC4 (immunoglobulin superfamily DCC subclass member 4) [NCBI Gene 57722] {aka DDM36, NOPE}, TFPI (tissue factor pathway inhibitor) [NCBI Gene 7035] {aka EPI, LACI, TFI, TFPI1}, PSMB1 (proteasome 20S subunit beta 1) [NCBI Gene 5689] {aka HC5, NEDMHAL, PMSB1, PSC5}, S100A12 (S100 calcium binding protein A12) [NCBI Gene 6283] {aka CAAF1, CAGC, CGRP, ENRAGE, MRP-6, MRP6}, CDH15 (cadherin 15) [NCBI Gene 1013] {aka CDH14, CDH3, CDHM, MCAD, MRD3}, KCNK3 (potassium two pore domain channel subfamily K member 3) [NCBI Gene 3777] {aka DDSA, K2p3.1, OAT1, PPH4, TASK, TASK-1}, EFNA1 (ephrin A1) [NCBI Gene 1942] {aka B61, ECKLG, EPLG1, GMAN, LERK-1, LERK1}, FST (follistatin) [NCBI Gene 10468] {aka FS}, WFIKKN2 (WAP, follistatin/kazal, immunoglobulin, kunitz and netrin domain containing 2) [NCBI Gene 124857] {aka GASP-1, WFDC20B, WFIKKNRP, hGASP-1}, CXCL8 (C-X-C motif chemokine ligand 8) [NCBI Gene 3576] {aka GCP-1, GCP1, IL8, LECT, LUCT, LYNAP}, FAM13A (family with sequence similarity 13 member A) [NCBI Gene 10144] {aka ARHGAP48, FAM13A1}, STX7 (syntaxin 7) [NCBI Gene 8417]
- **Diseases:** lung function decline (MESH:D055370), paroxysmal nocturnal hemoglobinuria (MESH:D006457), immunodeficiency (MESH:D007153), lung disease (MESH:D008171), Coronavirus Disease (MESH:D018352), IPF (MESH:D054990), hypothyroidism (MESH:D007037), pulmonary inflammation (MESH:D011014), prostate cancer (MESH:D011471), respiratory diseases (MESH:D012140), C3 glomerulopathy (MESH:C562875), staphylococcus aureus infection (MESH:D013203), asthma (MESH:D001249), inflammatory (MESH:D007249), COVID-19 (MESH:D000086382), MR (MESH:C562757), cystic fibrosis (MESH:D003550)
- **Chemicals:** Tenofovir (MESH:D000068698), Nintedanib (MESH:C530716), OMS-906 (-), Emtricitabine (MESH:D000068679), calcium (MESH:D002118), Ivacaftor (MESH:C545203), Pirfenidone (MESH:C093844)
- **Species:** Homo sapiens (human, species) [taxon 9606], Rattus norvegicus (brown rat, species) [taxon 10116]

## Figures

6 figures with captions in the complete paper: https://tomesphere.com/paper/PMC13014964/full.md

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Source: https://tomesphere.com/paper/PMC13014964