Progress and application of lung-on-a-chip for lung cancer.

Lung cancer is a malignant tumour with the highest incidence and mortality worldwide. Clinically effective therapy strategies are underutilized owing to the lack of efficient models for evaluating drug response. One of the main reasons for failure of anticancer drug therapy is development of drug resistance. Anticancer drugs face severe challenges such as poor biodistribution, restricted solubility, inadequate absorption, and drug accumulation. In recent years, "organ-on-a-chip" platforms, which can directly regulate the microenvironment of biomechanics, biochemistry and pathophysiology, have been developed rapidly and have shown great potential in clinical drug research. Lung-on-a-chip (LOC) is a new 3D model of bionic lungs with physiological functions created by micromachining technology on microfluidic chips. This approach may be able to partially replace animal and 2D cell culture models. To overcome drug resistance, LOC realizes personalized prediction of drug response by simulating the lung-related microenvironment in vitro, significantly enhancing therapeutic effectiveness, bioavailability, and pharmacokinetics while minimizing side effects. In this review, we present an overview of recent advances in the preparation of LOC and contrast it with earlier in vitro models. Finally, we describe recent advances in LOC. The combination of this technology with nanomedicine will provide an accurate and reliable treatment for preclinical evaluation.

Whole transcriptome analysis of the differential RNA profiles and associated competing endogenous RNA networks in LPS-induced acute lung injury (ALI).

Acute lung injury (ALI) is a serious inflammation disease usually arises alveolar epithelial membrane dysfunction and even causes death. Therefore, the aims of this study are to screen the differentially expressed lncRNAs, circRNAs, miRNAs, and mRNAs in ALI based on the high-throughput sequencing. The lipopolysaccharide (LPS)-induced ALI mouse model was established, the injury of ALI mouse model was evaluated through histological analysis with hemotoxylin and eosin (H & E) staining assay, dry/wet ratio, infiltrated-immune cells, ET-1 mRNA expression and released-proinflammation factors. Then, expression data of lncRNAs, circRNAs, miRNAs and mRNAs in ALI were acquired using whole-transcriptome sequencing. The differential expression of lncRNAs (DE lncRNAs), circRNAs (DE circRNAs), miRNAs (DE miRNAs) and mRNAs (DE mRNAs) were identified, and the lncRNA-miRNA-mRNA network and circRNA-miRNA-mRNA network were constructed, and the biological function of target genes were annotated based on bioinformatics analysis. In the present study, the LPS-induced ALI mouse model was successfully established. The biological analysis results showed that total 201 DE lncRNAs, 172 DE circRNAs, 62 DE miRNAs, and 3081 DE mRNAs were identified in ALI. The 182 lncRNA-miRNA-mRNA networks and 32 circRNA-miRNA-mRNA networks were constructed were constructed based on the correlation between lncRNAs/circRNAs, miRNAs, mRNAs. The biological function analysis indicated that TNF signaling pathway, chemokine signaling pathway and so on involved in ALI. In the present study, the differential expression coding and non-coding RNAs (ncRNAs) in ALI were identified, and their regulatory networks were constructed. There might provide the potential biomarkers and underlying mechanism for ALI diagnosis and treatment.

TLR9 Rs352140 polymorphism contributes to a decreased risk of bacterial meningitis: evidence from a meta-analysis.

Some studies have suggested that the Toll-like receptor 9 polymorphism (TLR9 rs352140) is closely related to the risk of bacterial meningitis (BM), but this is subject to controversy. This study set out to estimate whether the TLR9 rs352140 polymorphism confers an increased risk of BM. Relevant literature databases were searched including PubMed, Embase, the Cochrane Library and China National Knowledge Infrastructure (CNKI) up to August 2020. Seven case-control studies from four publications were enrolled in the present meta-analysis. Odds ratios (OR) and confidence intervals (95% CI) were calculated to estimate associations between BM risk and the target polymorphism. Significant associations identified were allele contrast (A vs. G: OR 0.66, 95% CI 0.59-0.75, P = 0.000), homozygote comparison (AA vs. AG/GG: OR 0.62, 95% CI 0.49-0.78, P = 0.000), heterozygote comparison (A vs. G: OR 0.74, 95% CI 0.61-0.91, P = 0.005), recessive genetic model (AA vs. AG/GG: OR 0.78, 95% CI 0.65-0.93, P = 0.006) and dominant genetic model (AA vs. AG/GG: OR 0.70, 95% CI 0.57-0.85, P = 0.000). The findings indicate that, in contrast to some studies, the TLR9 rs352140 polymorphism is associated with a decreased risk for BM.