# The Architecture of Deep Phenotyping in Asthma: Integrating Molecular, Metabolic, and Neuro-Hormonal Endotypes

**Authors:** Nicolae Demenciuc, Corina Ureche, Corina Eugenia Budin, Mircea Stoian, Teodora Nicola-Varo, Edith Simona Ianosi, Dariana-Elena Pătrîntașu, Anca Goman, Lavinia Davidescu, Diana Deleanu

PMC · DOI: 10.3390/ijms27062545 · International Journal of Molecular Sciences · 2026-03-10

## TL;DR

This paper reviews how deep molecular profiling can improve asthma management by integrating biomarkers of inflammation, metabolism, and lung structure.

## Contribution

The paper introduces a framework for precision asthma management using multi-omic biomarkers like ECP, ADMA, YKL-40, and miR-21.

## Key findings

- Eosinophil activation markers ECP and EDN are more reliable than absolute eosinophil counts.
- ADMA is linked to metabolic dysfunction in obese asthma patients.
- Biomarkers like YKL-40, SP-D, and miR-21 indicate airway remodeling and steroid resistance.

## Abstract

Asthma is increasingly recognized as a heterogeneous syndrome where traditional management fails, particularly given spirometry’s limitations in assessing small airway dysfunction. This review synthesizes the transition from clinical phenotyping to deep molecular endotyping, establishing a framework for precision medicine. We highlight the insufficiency of absolute eosinophil counts, proposing eosinophil cationic protein (ECP) and eosinophil-derived neurotoxin (EDN) as superior activation metrics. Furthermore, we explore Type 2 drivers (IL-4/IL-13, periostin) and epithelial alarmins like TSLP. Beyond classical immunology, the text describes metabolic dysregulation, specifically asymmetric dimethylarginine (ADMA) in obese-asthma phenotypes where nitric oxide synthase uncoupling promotes oxidative stress. We also analyze YKL-40 and surfactant protein D (SP-D) as markers of remodeling and barrier permeability, alongside microRNAs—specifically miR-21—in corticosteroid resistance. We conclude that managing refractory asthma requires shifting from reactive symptom control to an integrated analysis of multi-omic biomarkers. Establishing this comprehensive molecular profile via specialized centers is fundamental for addressing current diagnostic limitations, selecting biological therapies, and modifying the disease trajectory through an endotype-driven strategy addressing inflammatory, metabolic, and structural pathologies.

## Linked entities

- **Proteins:** RNASE3 (ribonuclease A family member 3), RNASE2 (ribonuclease A family member 2), IL4 (interleukin 4), IL13 (interleukin 13), postn (periostin, osteoblast specific factor), TSLP (thymic stromal lymphopoietin), CHI3L1 (chitinase 3 like 1), HOXD13 (homeobox D13), MIR21 (microRNA 21)
- **Chemicals:** asymmetric dimethylarginine (PubChem CID 123831), ADMA (PubChem CID 69048)
- **Diseases:** asthma (MONDO:0004979)

## Full-text entities

- **Genes:** SFTPD (surfactant protein D) [NCBI Gene 6441] {aka COLEC7, PSP-D, SFTP4, SP-D}, RNASE2 (ribonuclease A family member 2) [NCBI Gene 6036] {aka EDN, RAF3, RNS2}, MIR21 (microRNA 21) [NCBI Gene 406991] {aka MIRN21, hsa-mir-21, miR-21, miRNA21}, IL4 (interleukin 4) [NCBI Gene 3565] {aka BCGF-1, BCGF1, BSF-1, BSF1, IL-4}, TSLP (thymic stromal lymphopoietin) [NCBI Gene 85480], IL13 (interleukin 13) [NCBI Gene 3596] {aka IL-13, P600}, POSTN (periostin) [NCBI Gene 10631] {aka OSF-2, OSF2, PDLPOSTN, PN}, CHI3L1 (chitinase 3 like 1) [NCBI Gene 1116] {aka ASRT7, CGP-39, GP-39, GP39, HC-gp39, HCGP-3P}, RNASE3 (ribonuclease A family member 3) [NCBI Gene 6037] {aka ECP, RAF1, RNS3}
- **Diseases:** obese (MESH:D009765), corticosteroid resistance (MESH:C565152), Asthma (MESH:D001249), airway dysfunction (MESH:D000402), inflammatory (MESH:D007249), Metabolic (MESH:D008659)
- **Chemicals:** ADMA (MESH:C018524)

## Full text

_Full body text omitted from this summary view._ Fetch the complete paper as Markdown: https://tomesphere.com/paper/PMC13026805/full.md

## Figures

2 figures with captions in the complete paper: https://tomesphere.com/paper/PMC13026805/full.md

## References

93 references — full list in the complete paper: https://tomesphere.com/paper/PMC13026805/full.md

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Source: https://tomesphere.com/paper/PMC13026805