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Received — 4 April 2026 ⏭ (Multiomics OR Omics) AND (Lung OR gastric OR Hepatocellular)

Integrated proteomics and metabolomics analysis reveals mechanisms by which SFYC decoction regulates airway inflammation in asthma

J Ethnopharmacol. 2026 Mar 30;365:121612. doi: 10.1016/j.jep.2026.121612. Online ahead of print.

ABSTRACT

ETHNOPHARMACOLOGICAL RELEVANCE: Airway inflammation is one of the primary pathological characteristics of asthma. Soufeng Yuchuan (SFYC) decoction, a compound formula derived from multiple traditional Chinese medicine prescriptions, is widely applied clinically and exhibits significant therapeutic efficacy against asthma. However, its anti-asthmatic mechanisms remain incompletely understood.

MATERIALS AND METHODS: Asthmatic rat models induced by ovalbumin (OVA) and ferroptosis models induced by erastin in BEAS-2B cells were established. Proteomics and metabolomics analyses were conducted on lung tissues and serum. Key ferroptosis-related targets (GPX4, SLC7A11/SLC3A2, GCLC, GSS, and VDAC2) were validated using Western blotting, RT-qPCR, and biochemical assays. The direct anti-ferroptosis effects of SFYC-containing serum were compared with ferrostatin-1 and blank serum in vitro.

RESULTS: Integrated omics analysis revealed that ferroptosis, glutathione metabolism, and ROS signaling pathways were the core targets modulated by SFYC. In vivo, SFYC significantly reduced airway inflammation and ROS accumulation, restored pulmonary GSH levels, upregulated the expression of GPX4, GCLC, GSS, SLC7A11, and SLC3A2, and downregulated VDAC2 expression (P < 0.05). In vitro, SFYC-containing serum effectively reversed erastin-induced lipid peroxidation, iron overload, GSH depletion, ROS elevation, and apoptosis in BEAS-2B cells, demonstrating comparable or superior efficacy to ferrostatin-1.

CONCLUSION: SFYC alleviates airway inflammation in asthma primarily by inhibiting ferroptosis. This study provides evidence that SFYC exerts anti-asthmatic effects, at least in part, via the regulation of ferroptosis pathways.

PMID:41921764 | DOI:10.1016/j.jep.2026.121612

Received — 2 April 2026 ⏭ (Multiomics OR Omics) AND (Lung OR gastric OR Hepatocellular)

Integrative Multi-omics Analysis of Buti Huatan Tang in Chronic Obstructive Pulmonary Disease

J Vis Exp. 2026 Mar 13;(229). doi: 10.3791/70383.

ABSTRACT

This study utilized a multi-omics and computational biology framework to investigate the therapeutic potential of the Traditional Chinese Medicine (TCM) formula Buti Huatan Tang (BTHTT) against chronic obstructive pulmonary disease (COPD). Significant physiological improvements were observed in a rat model following BTHTT intervention. Histological analysis showed a reversal of lung pathological damage, while biochemical assays, and transcriptomics confirmed the normalization of IL-1β and IL-1R2 levels. Additionally, metabolic profiling revealed that BTHTT corrected disruptions in T3 and T4 thyroid hormone levels. A negative correlation was observed between the IL-1β/IL-1R2 axis and these thyroid hormones, indicating that their regulation is associated with the formula's therapeutic effect. Beyond direct measurements, machine learning algorithms identified ten COPD signature genes from clinical databases. Pathway enrichment analysis suggests that BTHTT may act through cytokine-cytokine-receptor interactions and thyroid hormone synthesis pathways. Furthermore, while 283 components were identified in vivo, compounds such as tanshinone IIA and cryptotanshinone are currently considered candidate active substances. Their role as primary drivers is supported by a model in which they stably bind to IL-1R2; this inference is based on molecular docking and molecular dynamics (MD) simulations rather than direct experimental isolation. Overall, the data support a model in which BTHTT exerts a multi-target effect on COPD by modulating inflammation and metabolic homeostasis. This integrated approach provides a refined scientific basis for the clinical application of BTHTT and highlights specific pathways for future experimental validation.

PMID:41911070 | DOI:10.3791/70383

Received — 14 March 2026 ⏭ (Multiomics OR Omics) AND (Lung OR gastric OR Hepatocellular)
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