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Abstract: Lung cancer is one of the most common malignant tumors, and its death rate is much higher than that of colon, kidney, breast, and prostate cancers, and its 5-year survival rate is only 18%. Lung cancer has no specific clinical symptoms in its early stages and lacks effective detection, making early detection difficult. The survival rate for advanced lung cancer is meager, with a median survival of only 12 months for stage IIIB/IV non-small cell lung cancer treated with platinumbased chemotherapy. Exosomes could provide vital information for the early diagnosis of lung cancer and have the potential to become a tumor marker for lung cancer. In addition, scientists have proposed encouraging ways to treat lung cancer by loading drugs, proteins, microRNAs, and siRNAs into exosomes. Therefore, studying lung cancer exosomes and exosomal nano drugs will provide new ideas and approaches for the diagnosis and treatment of lung cancer. This paper reviews the progress of research on the biological functions of exosomes and exosomal nanomedicines and their applications in clinical practice.

Background As an important feature of anxiety disorders, anxiety refers to the emotional response to the anticipation of future threat, and excessive anxiety is more likely to trigger multi-kinds of disease symptoms. The aim of this study was to detect different performance of high-anxiety and low-anxiety individuals to deal with the discrimination and reasoning tasks and the mutual influence between the two tasks. Methods A modified “reasoning-discrimination” paradigm with the discrimination (d’) of discrimination task and the projectability of the reasoning task as response variables was used. Sixty-nine participants assessed through STAI, GAD-7 and interviews, divided into two groups. Results The results revealed that all individuals showed emotional bias in discrimination tasks, but as to complex tasks, the d’ of the high-anxiety group was lower than that of the low-anxiety group, especially in neutral and positive conditions; in reasoning tasks, the difference between the two groups of emotional effects was not significant. Conclusions The findings suggest that high anxiety could impair the discrimination ability, especially the discrimination ability of the positive information, and lead to a greater negative bias. And the effects of anxiety in different cognitive domains are probably not universal, but specific.

Previous studies have revealed the relationship between cold spells and morbidity and mortality due to respiratory diseases, while the detrimental effects of cold spells on the length of hospital stay and hospitalization expenses remain largely unknown.We collected hospitalization data for respiratory diseases in 11 cities of Shanxi, China during 2017-2019. In each case, exposure to meteorological variables and air pollution was estimated by the bilinear interpolation approach and inverse distance weighting method, respectively, and then averaged at the city level. Cold spells were defined as the daily mean temperature below the 10th, 7.5th, or 5th percentiles for at least 2 to 5 consecutive days. We applied distributed lag non-linear models combined with generalized additive models to assess cumulative effects and harvesting effects.There were significant associations between cold spells and hospital admissions, length of hospital stay, and hospital expenses for respiratory diseases. Compared with the non-cold spell period, the overall (lag 0-21) cumulative risk of hospitalization for total respiratory diseases was 1.232 (95 % CI: 1.090, 1.394) on cold spell days, and the increased length of hospital stay and hospitalization expenses were 112.793 (95 % CI: 10.755, 214.830) days and 127.568 (95 % CI: 40.513, 214.624) thousand Chinese yuan. The overall cumulative risks of cold spells on total respiratory diseases and pneumonia were statistically significant. We further observed harvesting effects in the associations between cold spells and hospital admission, length of hospital stay, and hospitalization expenses for respiratory diseases.Cumulative cold-spell exposure for up to three weeks is associated with hospitalization, length of hospital stay, and hospital expenses for respiratory diseases. The observed harmful effects of cold spells on respiratory diseases can be partly attributable to harvesting effects.

Numerous epidemiological studies have documented the association between ambient nitrogen dioxide (NOThis study collected the respiratory hospitalization, hospital expenditure, and LOS for respiratory diseases from 2017-2019 in Shanxi, China, and comprehensively evaluated the association between ambient NOThis study provides evidence on the association between ambient NO

Ivosidenib is an isocitrate dehydrogenase mutant inhibitor that the US Food and Drug Administration recently approved for the treatment of leukemia. Studies suggested that ivosidenib may inhibit the progression of non-small cell lung cancer (NSCLC). In the present study, we explored RNAs and their potential regulatory mechanisms by which ivosidenib treats NSCLC cells. We used MTT assays, Transwell assays, and flow cytometry to measure the anti-tumor effects of ivosidenib in NSCLC cells. We performed whole transcriptome sequencing to determine differentially expressed mRNAs (DE-mRNAs) and non-coding RNAs (ncRNA). We used GO and KEGG pathway enrichment analyses to identify the functions and potential mechanisms. According to miRNA target interactions, we constructed a competing endogenous network. Ivosidenib inhibited the proliferation, invasion, and migration of NSCLC cells and inhibited tumor growth in vivo. We identified 212 DE-mRNAs, four DE-miRNAs, and 206 DE-lncRNAs in ivosidenib-treated NSCLC cells compared to untreated NSCLC cells. DE-mRNAs were significantly enriched in the cancer-associated pathways, including the TGF-β signaling pathway, the PI3K-Akt signaling pathway, the Jak-STAT signaling pathway, the MAPK signaling pathway, the Rap1 signaling pathway, and cell adhesion molecules. Based on the competing endogenous RNA hypothesis, we constructed lncRNA-miRNA-mRNA networks to elucidate the regulatory relationships between mRNA and ncRNA. We found that qRT-PCR results showed corresponding expression trends of differential genes with sequencing data. Our results provide insights into the molecular basis of ivosidenib suppression of NSCLC.

Identifying stops from GPS trajectories is one of the main concerns in the study of moving objects and has a major effect on a wide variety of location-based services and applications. Although the spatial and non-spatial characteristics of trajectories have been widely investigated for the identification of stops, few studies have concentrated on the impacts of the contextual features, which are also connected to the road network and nearby Points of Interest (POIs). In order to obtain more precise stop information from moving objects, this paper proposes and implements a novel approach that represents a spatio-temproal dynamics relationship between stopping behaviors and geospatial elements to detect stops. The relationship between the candidate stops based on the standard time&ndash, distance threshold approach and the surrounding environmental elements are integrated in a complex way (the mobility context cube) to extract stop features and precisely derive stops using the classifier classification. The methodology presented is designed to reduce the error rate of detection of stops in the work of trajectory data mining. It turns out that 26 features can contribute to recognizing stop behaviors from trajectory data. Additionally, experiments on a real-world trajectory dataset further demonstrate the effectiveness of the proposed approach in improving the accuracy of identifying stops from trajectories.

Fgf-3 is expressed in a dynamic and complex spatiotemporal pattern during mouse development. Previous studies identified GATA-4 as a transcription factor that binds the key regulatory element PS4A of the Fgf-3 promoter and stimulates transcription. Here we show that members of the SOX family of transcription factors also bind PS4A and differentially modulate transcription. At least five SOX genes, Sox2, Sox6, Sox7, Sox13, and Sox17, were expressed in F9 cells, and of these, Sox7 and Sox17 were dramatically induced in parallel with Fgf-3 following differentiation into parietal endoderm-like cells with retinoic acid and dibutyryl cAMP. Complexes could be detected on PS4A with SOX2, SOX7, and SOX17 by using nuclear extracts from differentiated F9 cells. However, only Sox7 expression markedly activated the Fgf-3 promoter in these cells. By contrast, SOX2 was a poor activator of Fgf-3 transcription, and when Sox2 was coexpressed with Gata4, it negatively modulated the strong activation mediated by GATA-4. More detailed analyses showed that SOX7 competes with GATA-4 for PS4A occupancy and to activate the Fgf-3 promoter. In situ hybridization analysis showed that Sox7 is co-expressed with Fgf-3 and Gata4 in the parietal endoderm of E7.5 mouse embryos. In culture, GATA-4-deficient embryonal stem cells were shown to express Fgf-3 upon differentiation into embryoid bodies, although at lower levels than were found in wild type embryonal stem cells. This Fgf-3 expression was virtually abolished when Sox7 expression was suppressed by RNA interference. These results show that SOX7 is a potent activator of Fgf-3 transcription.