Clara cell 16 KDa protein mitigates house dust mite-induced airway inflammation and damage via regulating airway epithelial cell apoptosis in a manner dependent on HMGB1-mediated signaling inhibition

TRIM47 promotes HDM-induced bronchial epithelial pyroptosis by regulating NEMO ubiquitination to activate NF-κB/NLRP3 signaling

Asthma is an inflammatory disease. Airway epithelial cell pyroptosis and cytokine secretion promote asthma progression. Tripartite motif 47 (TRIM47) belongs to the E3 ubiquitin ligase family and is associated with apoptosis and inflammation in a range of diseases. However, the role of TRIM47 in asthma has not been explored. In this study, the human bronchial epithelial cell line BEAS-2B was treated with house dust mite (HDM) and TRIM47 expression was detected by RT-qPCR and Western blot. After transfection with TRIM47 interfering and overexpressing plasmids, the synthesis and secretion of cytokines, as well as pyroptosis-related indicators, were examined. Nuclear factor kappa-B (NF-κB) pathway proteins and nod-like receptor protein 3 (NLRP3) inflammasome were measured to explore the mechanism of TRIM47 action. In addition, the effect of TRIM47 on the level of NF-κB essential modulator (NEMO) ubiquitination was detected by an immunoprecipitation assay. The results showed that TRIM47 was upregulated in HDM-induced BEAS-2B cells and that TRIM47 mediated HDM-induced BEAS-2B cell pyroptosis and cytokine secretion. Mechanistically, TRIM47 promoted the K63-linked ubiquitination of NEMO and facilitated NF-κB/NLRP3 pathway activation. In conclusion, TRIM47 may promote cytokine secretion mediating inflammation and pyroptosis in bronchial epithelial cells by activating the NF-κB/NLRP3 pathway. Therefore, TRIM47 may be a potential therapeutic target for HDM-induced asthma.

An Andrographis paniculata Burm. Nees extract standardized for three main Andrographolides prevents house dust mite-induced airway inflammation, remodeling, and hyperreactivity by regulating Th1/Th2 gene expression in mice

ETHNOPHARMACOLOGICAL RELEVANCE

Andrographis paniculata Burm. Nees (AP) is an herb used traditionally in Indian and Chinese traditional medicine for the treatment of various inflammatory and respiratory tract diseases. However, the anti-inflammatory potential of standardized Andrographis paniculata 50% ethanol extract (APEE50) in the murine model of asthma has not been investigated.

AIM OF THE STUDY

This study aimed to evaluate the protective anti-inflammatory potential and better understand the underlying mechanism of action of APEE50 in a clinically-relevant mouse asthma model. Thereafter, develop the ethanolic extract of AP as a supplement for asthma prophylaxis.

MATERIALS AND METHOD

APEE50 was prepared and standardized for AGP, NAG, and DDAG using a high-performance liquid chromatography system. Asthma was induced according to a 14-day house dust mite (HDM) induction protocol. The prophylactic potential of APEE50 (50 mg/kg - 200 mg/kg) was determined by assessing cardinal asthma features, which included BALF leukocyte and differential cell count, BALF cytokine assay, histology, gene expression, and airway hyperreactivity study.

RESULTS

APEE50 significantly inhibited HDM-induced airway eosinophilia and neutrophilia. In addition to decreased levels of IL-4, IL-5, IL-13, and eotaxin in bronchoalveolar fluid, APEE50 abrogated HDM-induced airway mucus over-secretion and airway hyper-responsiveness. Administration of APEE50 downregulated HDM-induced upregulation of the oxidative stress enzyme Duox1 (dual oxidase 1) and marginally induced Nfe2l2 (nuclear factor erythroid 2-related factor 2) gene expressions. Similarly, Th2-related (Serpinb2, Clca3a1, Il4 and Il13) and Muc5ac gene expression were significantly downregulated.

CONCLUSION

Prophylactic administration of APEE50 prevented the progression of HDM-induced asthmatic responses by down-regulating Th2 cytokine gene expression and oxidative stress level.

Development of a prognostic Neutrophil Extracellular Traps related lncRNA signature for soft tissue sarcoma using machine learning

Background

Soft tissue sarcoma (STS) is a highly heterogeneous musculoskeletal tumor with a significant impact on human health due to its high incidence and malignancy. Long non-coding RNA (lncRNA) and Neutrophil Extracellular Traps (NETs) have crucial roles in tumors. Herein, we aimed to develop a novel NETsLnc-related signature using machine learning algorithms for clinical decision-making in STS.

Methods

We applied 96 combined frameworks based on 10 different machine learning algorithms to develop a consensus signature for prognosis and therapy response prediction. Clinical characteristics, univariate and multivariate analysis, and receiver operating characteristic curve (ROC) analysis were used to evaluate the predictive performance of our models. Additionally, we explored the biological behavior, genomic patterns, and immune landscape of distinct NETsLnc groups. For patients with different NETsLnc scores, we provided information on immunotherapy responses, chemotherapy, and potential therapeutic agents to enhance the precision medicine of STS. Finally, the gene expression was validated through real-time quantitative PCR (RT-qPCR).

Results

Using the weighted gene co-expression network analysis (WGCNA) algorithm, we identified NETsLncs. Subsequently, we constructed a prognostic NETsLnc signature with the highest mean c-index by combining machine learning algorithms. The NETsLnc-related features showed excellent and stable performance for survival prediction in STS. Patients in the low NETsLnc group, associated with improved prognosis, exhibited enhanced immune activity, immune infiltration, and tended toward an immunothermal phenotype with a potential immunotherapy response. Conversely, patients with a high NETsLnc score showed more frequent genomic alterations and demonstrated a better response to vincristine treatment. Furthermore, RT-qPCR confirmed abnormal expression of several signature lncRNAs in STS.

Conclusion

In conclusion, the NETsLnc signature shows promise as a powerful approach for predicting the prognosis of STS. which not only deepens our understanding of STS but also opens avenues for more targeted and effective treatment strategies.

Allergen-specific immunotherapy with Alutard SQ improves allergic inflammation in house-dust mites-induced allergic asthma rats through inactivation of the HMGB1/TLR4/NF-κB pathway

Background

Allergen-specific immunotherapy (AIT) is the only available safe, effective, and long-term treatment for allergic airway diseases, including allergic asthma. However, the potential molecular mechanism of AIT in ameliorating airway inflammation remains unknown.

Methods

Rats were sensitized and challenged with house dust mite (HDM) and administered with Alutard SQ or/and high mobility group box 1 (HMGB1) inhibitor, ammonium glycyrrhizinate (AMGZ) or HMGB1 lentivirus. The total and differential cell counts in rat bronchoalveolar lavage fluid (BALF) were detected. Hematoxylin and eosin staining (H&E) was performed to examine the pathological lesions in lung tissues. Enzyme-linked immunosorbent assay (ELISA) was performed to assess the expression of inflammatory factors in lungs, BALF, and serum. Quantitative real-time PCR (qRT-PCR) was used to measure the levels of inflammatory factors in the lungs. Western blot assay was used to evaluate the expression of HMGB1, Τoll-like receptor 4 (TLR4), and nuclear factor kappa-light-chain-enhancer of activated B cells (NF-κB) in the lungs.

Results

Consequently, AIT with Alutard SQ attenuated airway inflammation, the total and differential cells in BALF, and expression of Th (T helper)2 related cytokines and transforming growth factor beta 1 (TGF-β1). The regimen also upregulated Th-1-related cytokine expression by inhibiting the HMGB1/TLR4/NF-κB pathway in HDM-induced asthmatic rats. Furthermore, AMGZ, a HMGB1 antagonist, amplified the functions of AIT with Alutard SQ in the asthma rat model. Nevertheless, overexpression of HMGB1 reversed the functions of AIT with Alutard SQ in the asthma rat model.

Conclusions

In summary, this work demonstrates the role of AIT with Alutard SQ, which inhibits the HMGB1/TLR4/NF-κB signaling pathway in allergic asthma management.

CC16-TNF-α negative feedback loop formed between Clara cells and normal airway epithelial cells protects against diesel exhaust particles exposure-induced inflammation

CC16 is almost exclusively expressed in non-ciliated epithelial Clara cells, and widely used as a Clara cell marker. Diesel exhaust particles (DEPs), the fine particulate matters produced by diesel engines, cause or exacerbate airway-related diseases. Our previous study documented that DEP inhibits the CC16 expression in the immortalized mouse Clara cell line through methylation of C/EBPα promoter. However, the molecular mechanism by which DEP regulates CC16 secretion is unclear. Here, we isolated CC16 containing Clara cells (CC16⁺) from human distal lung, and found that DEP inhibited CC16 secretion from CC16⁺ cells via methylation of C/EBPα and inhibition of Munc18b transcription. CC16⁺ cell conditioned media containing different concentrations of CC16 was prepared and used for culture of airway epithelial cells BEAS-2B with no expression of CC16. A positive correlation was observed between CC16 level and DEP-induced autophagy activity, and a negative correlation between CC16 level and DEP-induced pro-inflammatory cytokine TNF-α, IL-6, and IL-8 level, suggesting that CC16 might mitigate DEP-induced inflammation via promoting autophagy in BEAS-2B cells. This result was further confirmed by adding recombinant CC16 to BEAS-2B cells exposed to DEP. Moreover, CC16 level was significantly increased when CC16⁺ cells were cultured in BEAS-2B cell conditioned medium containing TNF-α or the normal medium supplemented with recombinant TNF-α, suggesting that TNF-α induced CC16 production and secretion from CC16⁺ cells. Collectively, these data point that CC16 and TNF-α form a negative feedback loop, and this negative feedback loop between Clara cells and normal airway epithelial cells protects against DEP exposure-induced inflammation.