The metastasis of lung cancer can spread to the lymph nodes around the lungs. Metastasis, rather than the primary cancer, judges patients survival. Wherefore, a more detailed study on transcriptome of metastatic lung adenocarcinoma including primary carcinoma was carried out. LUAD RNA-seq data and the corresponding clinical information were available from The Cancer Genome Atlas (TCGA), which included 522 cases but only 515 cases have transcriptome data. Differential expression analyses between cases and controls, between primary cancer and metastasis subgroup, or between TNM stages, were respectively carried out using edgeR package. Then, the Kruskal-Wallis tests were used to verify the gradient changes of cancer metastasis or staging with the differential expression genes. The survival analyses were calculated using the Kaplan-Meier algorithm and log-rank test. The functional predictions for the differentially expressed genes were porformed with the Gene Ontology and Kyoto Encyclopedia of Genes and Genomes (GO/KEGG). Single gene set enrichment analysis (single GSEA) was run to explore the biological pathways associated with the expressions of RN7SL494P gene based on the Molecular Signatures Database (MSigDB). 406 and 439 differentially expressed genes were identified respectively in lymph node metastasis or TNM stages. 112/296 intersection genes were associated with nodal metastasis and/or staging, among them only 25 genes were associated with the nodal metastasis, 13 genes were associated with the staging with gradient changes. Only one gene (RN7SL494P) was found to be associated with prognosis. But RN7SL494P was not found joining any biological functions or processes or cellular components with GO/KEGG analyses. Finally, single GSEA enrichment and pathway analyses showed that RN7SL494P might be involving in cancer development process and poor outcome in lung adenocarcinoma. These findings highlight the potential applications of RN7SL494P as a promising molecular predictor not only in nodal metastasis but prognosis evalution in lung adenocarcinoma patients.

Existing evidence suggest that lactoferrin might be beneficial for Alzheimer’s disease. We aimed to determine the effects of lactoferrin intervention on cognitive function from APP/PS1 mice, and possible mechanisms involved in. Both young and middle-aged male APP/PS1 mice were divided into control and lactoferrin group with 16 weeks’ intervention. Lactoferrin intervention had no effects on cognitive function from both young and middle-aged mice, and no key markers involved in Aβ, tau pathology, neuro-inflammation and synaptic plasticity were altered post lactoferrin intervention. In regards to gut microbiota profiles, in the young mice, lactoferrin elevated α diversity index including ACE and Chao 1, and reduced the relative abundance of the genera Bacteroides and Alistipes and elevated Oscillibacter, in addition, Oscillibacter, Anaerotruncus, EF096579_g, EU454405_g, Mollicutes_RF39, EU474361_g, EU774448_g, and EF096976_g were specifically abundant post Lf intervention via LEfSe analysis. In the middle-aged mice, the relative abundance of the phylum Proteobacteria, as well as the genera Oscillospira, Coprococcus and Ruminococcus was significantly reduced post Lf intervention, additionally, S24_7, Bacteroidia, Bacteroidetes and Methylobacterium were specific via LEfSe analysis post lactoferrin intervention. In conclusion, dietary lactoferrin might be beneficial for gut microbiota homeostasis although might have no effects on cognition.

Nowadays, it is highly desired to develop highly active and humidity resistive ozone decomposition catalyst to eliminate the ozone contaminant, one of the primary pollutants in air. In this work, a series of Cu2S hollow structured materials are rapidly synthesized using different structured Cu2O templates. The Cu2S from porous Cu2O shows the highest ozone catalytic decomposition efficiency of >95% to 400 ppm ozone with a weight hourly space velocity of 480,000 cm3g-1h-1 in dry air. Importantly, the conversion still keeps >85% in a high relative humidity of 90%. The mechanism is explored by diffusive reflectance infrared spectroscopy which shows the decomposition intermediate of O22-, and the X-ray photoelectron spectroscopy reveals the dual active site of both Cu and S. All these results show the effective decomposition of ozone by Cu2S especially in harsh environments, promising for active ozone elimination.

Alzheimer's disease (AD) is a multifaceted neurodegenerative disorder characterized by cognitive decline and neuronal loss, representing a most challenging health issue. We present a computational analysis of transcriptomic data of AD tissues vs. healthy controls, focused on elucidation of functional roles played by long non-coding RNAs (lncRNAs) throughout the AD progression. We first assembled our own lncRNA transcripts from the raw RNA-Seq data generated from 527 samples of dorsolateral prefrontal cortex, resulting in the identification of 31,574 novel lncRNA genes. Based on co-expression analyses between mRNAs and lncRNAs, a co-expression network is constructed. Maximal subnetworks with dense connections are identified as functional clusters. Pathway enrichment analyses are conducted over mRNAs and lncRNAs in each cluster, which serve as the basis for the inference of functional roles played by lncRNAs involved in each of the key steps in an AD development model that we have previously build based on transcriptomic data of protein-encoding genes. Detailed information is presented about the functional roles by lncRNAs in activities related to stress response, reprogrammed metabolism, cell-polarity, and development. Our analyses have also revealed that lncRNAs have discerning power in distinguishing between AD samples of each stage and healthy controls. This study represents the first of its kind.