Gentiopicroside ameliorates bleomycin-induced pulmonary fibrosis in mice via inhibiting inflammatory and fibrotic process.

Pulmonary fibrosis (PF) is a chronic and ultimately fatal interstitial lung disease of various causes. The advent of nintedanib and pirfenidone provides treatment options for PF patients for the first time. However, the adverse effects of the two drugs such as gastrointestinal disorders and hepatic dysfunction often lead to treatment discontinuation. Gentiopicroside (GPS) is a natural secoiridoid glycoside from gentian species of medicinal plants, and has a variety of pharmacological activities, including hepatoprotective and cholagogic, anti-inflammatory, antinociceptive, and smooth muscle relaxing activities. The present study aimed to investigate the therapeutical effects of GPS on bleomycin (BLM)-induced PF in mice. Severe lung inflammation and fibrosis were observed in BLM-treated mice. GPS significantly ameliorated inflammatory and fibrotic responses in lungs of PF mice which were confirmed by histopathological examinations including light microscopy and transmission electron microscopy. Additionally, GPS significantly decreased the levels of inflammatory cytokines including TNF-α and IL-1ß in bronchoalveolar lavage fluid and reduced the content of hydroxyproline in lungs of PF mice. Furthermore, GPS significantly downregulated the expression of TGF-ß1 and CTGF in lungs of PF mice. In vitro, GPS inhibited epithelial-mesenchymal transition of A549 cells stimulated by TGF-ß1, in a dose-dependent manner. Our findings suggest that GPS has the potential as an ideal drug candidate for PF, as it has both anti-inflammatory and anti-fibrotic effects. Alveolar epithelial cells and TGF-ß1 may be the main target cells and molecule of GPS on BLM-induced PF, respectively.

Surgery-induced monocytic myeloid-derived suppressor cells expand regulatory T cells in lung cancer.

While monocytic myeloid-derived suppressor cells (M-MDSCs) have been reported to induce the development of regulatory T cells (Treg), little is known about their correlation with Treg during perioperative period. Here, we demonstrated that the M-MDSCs expressing CD11b+CD33+HLA-DR-CD14+ in lung cancer patients after thoractomy significantly increased in comparison with preoperation, and their accumulation linearly correlated with an increase in Treg. Surgery-induced M-MDSCs, in addition to have high arginase activity, were more efficient in suppressing T-cell proliferation. Furthermore, the surgery-induced Treg expressed high levels of Foxp3, PD-1 and CTLA-4. Surgery-induced M-MDSCs were more potent in expending Treg when cocultured with autologous T cells in vitro. Using a lung metastasis mouse model, we demonstrated that the M-MDSCs at postoperative period were significantly increased and linearly correlated with Treg. We also showed that all-trans retinoic acid significantly inhibited the induction and proliferation of M-MDSCs, suppressed expansion of Treg, and finally prevented tumor metastasis in the mice after tumor resection. Receiver operating characteristic analyses revealed the superiority of surgery-induced M-MDSCs and Treg to those at preoperative period as a prognostic marker for lung cancer patients. Taken together, our results link the presence of surgery-induced M-MDSCs with the emergence of Treg and identify M-MDSCs and Treg derived postoperatively as potential indicators of tumor metastasis.

Detecting the somatic mutations spectrum of Chinese lung cancer by analyzing the whole mitochondrial DNA genomes.

To detect the somatic mutations and character its spectrum in Chinese lung cancer patients. In this study, we sequenced the whole mitochondrial DNA (mtDNA) genomes for 10 lung cancer patients including the primary cancerous, matched paracancerous normal and distant normal tissues. By analyzing the 30 whole mtDNA genomes, eight somatic mutations were identified from five patients investigated, which were confirmed with the cloning and sequencing of the somatic mutations. Five of the somatic mutations were detected among control region and the rests were found at the coding region. Heterogeneity was the main character of the somatic mutations in Chinese lung cancer patients. Further potential disease-related screening showed that, except the C deletion at position 309 showed AD-weakly associated, most of them were not disease-related. Although the role of aforementioned somatic mutations was unknown, however, considering the relative higher frequency of somatic mutations among the whole mtDNA genomes, it hints that detecting the somatic mutation(s) from the whole mtDNA genomes can serve as a useful tool for the Chinese lung cancer diagnostic to some extent.

Characterization of Somatic Mutations in Air Pollution-Related Lung Cancer.

Air pollution has been classified as Group 1 carcinogenic to humans, but the underlying tumorigenesis remains unclear. In Xuanwei City of Yunnan Province, the lung cancer incidence is among the highest in China attributed to severe air pollution generated by combustion of smoky coal, providing a unique opportunity to dissect lung carcinogenesis of air pollution. Here we analyzed the somatic mutations of 164 non-small cell lung cancers (NSCLCs) from Xuanwei and control regions (CR) where smoky coal was not used. Whole genome sequencing revealed a mean of 289 somatic exonic mutations per tumor and the frequent C:G â†’ A:T nucleotide substitutions in Xuanwei NSCLCs. Exome sequencing of 2010 genes showed that Xuanwei and CR NSCLCs had a mean of 68 and 22 mutated genes per tumor, respectively (p < 0.0001). We found 167 genes (including TP53, RYR2, KRAS, CACNA1E) which had significantly higher mutation frequencies in Xuanwei than CR patients, and mutations in most genes in Xuanwei NSCLCs differed from those in CR cases. The mutation rates of 70 genes (e.g., RYR2, MYH3, GPR144, CACNA1E) were associated with patients' lifetime benzo(a)pyrene exposure. This study uncovers the mutation spectrum of air pollution-related lung cancers, and provides evidence for pollution exposure-genomic mutation relationship at a large scale.