Basic education is a foundation-laying project of national quality education. Improving the ecological carrying level of basic education is of great practical significance to the coordinated and sustainable development of regional society and economy. Based on the panel data of Chongqing from 2011 to 2017, combined with the DPSIR theoretical model, a comprehensive evaluation index system was conducted, and the spatial and temporal evolution characteristics of ecological carrying capacity of county education in Chongqing was explored by using statistical analysis and spatial analysis methods. The multiple linear regression model was used to analyze differences in the impact of economic structure adjustment on the ecological carrying capacity of county education. It was found that the level of ecological carrying capacity of county education in Chongqing showed a steady upward trend in terms of time sequence, and all the five subsystems showed the characteristics of steady development, but the influence of each subsystem on the overall carrying capacity was different. From the formation mechanism, Chongqing’s educational ecological carrying capacity is the result of a multi-factor complex system, and there are obvious differences in the influencing factors at different development stages. Therefore, it is necessary to narrow the regional differences of education ecological carrying capacity, promote the coordinated development of education among regions, and take multiple measures to effectively ensure the high quality and sustainable development of county education in Chongqing.
Abstract Background: To improve the diagnosis accuracy of active pulmonary tuberculosis (TB) from pneumonia (PN) in low income and inadequate facilities areas is one of the biggest problems facing public health today. Most TB patients are difficult to diagnose, especially those who are acid-fast bacillus smear-negative (AFB - ) but IGRA®.TB test positive (IGRA + ). Thus, we aim to develop a low-cost and rapid risk model for the diagnosis of TB patients with AFB - IGRA + TB from PN. Methods: We retrospectively analyzed 41 laboratory variables of 204 AFB - IGRA + TB and 156 PN participants. Candidate variables were identified by t-statistic test and univariate logistic model. The logistic regression analysis was used to construct the multivariate risk model and nomogram with internal and external validation. Results: There were differential correlations between variable pairs in AFB - IGRA + TB and PN. We found several significant variables in TB compared with PN. Among them, uric acid (UA) was up-elevated , acting as a protective factor with an odds ratio (OR) < 1. By integrating five variables, including Age, UA, albumin (ALB), hemoglobin (Hb) and white blood cell counts (WBC), we constructed a multivariate risk model with a concordance index (C-index) of 0.7 (95% CI: 0.61, 0.8). Nomogram showed that UA and Hb had the protection effect, while Age, WBC and ALB acted as risk factors on TB occurrence. Internal and external validation revealed a good agreement between nomogran prediction and actual observations. Conclusions: Differential correlations existed between variable pairs in AFB - IGRA + TB and PN. An integration of five biomarkers (Age, UA, ALB, Hb and WBC) can be used to predict TB in AFB - IGRA + clinical samples from PN.
Non-small cell lung cancer (NSCLC) is one of the most common lung cancers, accounting for more than 85% of lung cancer incidence rates and seriously endangering human health. Increasing evidence shows that some long non-coding RNAs (lncRNAs) act as tumor suppressors and some promote cancer. Pterostilbene-regulated lncRNA-linc00511 has been confirmed to be an oncogenic gene in a variety of tumors. This study aimed to determine the biological function of pterostilbene-regulated lncRNA-linc00511 (LINC00511) in non-small cell lung cancer and provide new diagnostic and therapeutic targets for it. Lung cancer A549 cells were randomly divided into control group and hypoxic group. siRNA knockdown and LINC00511 overexpression plasmid were constructed under hypoxic conditions. Pterostilbene was used to intervene with lncRNA-linc00511. Real time PCR was used to detect the expression changes of LINC00511 and MiR-184. Analyze and detect the effect on the proliferation and invasion of non-small cell lung cancer cells under hypoxic conditions. Real time PCR analysis was used to detect the expression changes of EMT molecules E-cadherin and Vimentin. Western blot detected changes in HIF-1 α expression. The expression of LINC00511 increased and the expression of MiR-184 decreased in lung cancer A549 cells, and hypoxic environment led to more significant changes in both. After siRNA knocked down the expression of LINC00511 under hypoxic conditions, pterostilbene was used to intervene with lncRNA-linc00511. The results showed that it promoted the expression of MiR-184, inhibited the proliferation and invasion of lung cancer cells, upregulated the expression of EMT molecules E-cadherin, and increased the expression of Vimentin. The expression is reduced and the expression of HIF-1 α is downregulated. Overexpression of LINC00511 can reverse the above changes. Under hypoxic conditions, pterostilbene was used to interfere with lncRNA-linc00511 to promote cell proliferation in non-small cell lung cancer cells. Pterostilbene’s intervention with lncRNA-linc00511 could target the expression of MiR-184 to promote the proliferation and invasion of non-small cell lung cancer. Knocking down the expression of LINC00511 can target down-regulate the expression of MiR-184, change the occurrence of EMT, and alleviate the occurrence and progression of non-small cell lung cancer.
In coronavirus disease 2019 (COVID-19) patients, interleukin (IL)-6 is one of the leading factors causing death through cytokine release syndrome. Hence, identification of IL-6 downstream from clinical patients' transcriptome is very valid for analyses of its mechanism. However, clinical study is conditional and time consuming to collect optional size of samples, as patients have the clinical heterogeneity. A possible solution is to deeply mine the relative existing data. Several transcriptome-based studies on other diseases or treatments have revealed different genes to be regulated by IL-6. Through our meta-analysis of these transcriptome datasets, 352 genes were suggested to be regulated by IL-6 in different biological conditions, some of which were related to virus infection and cardiovascular disease. Among them, 232 genes were not identified by current transcriptome studies from clinical research. ICAM1 and PFKFB3 were the most significantly upregulated genes in our meta-analysis and could be employed as biomarkers in patients with severe COVID-19. In general, a meta-analysis of transcriptome datasets could be an alternative way to analyze the immune response and complications of patients suffering from severe COVID-19 and other emergency diseases.
AbstractObjective This study aimed to investigate the potential anti-inflammatory and antioxidant effects of apigenin in rats with acute lung injury (ALI). We also examined changes in levels of inflammatory and antioxidant factors after apigenin treatment in a rat model of ALI.Methods: We searched several databases, including PubMed, Scopus, EMBASE, Web of Science, ProQuest, and GoogleScholar, to retrieve relevant articles for our systematic review and meta-analysis.Five studies with 226 rat models of ALI were included in this study. We investigated inflammatory factors and oxidative stress with the corresponding 95% confidence interval in three groups: 1. Group1 (control vs. ALI), 2. Group2 (ALI vs. apigenin10), and 3. Group3 (ALI vs. apigenin20).Results Estimating the correlation and 95% confidence intervals for the inflammatory agents and oxidative stress in the intervention group (ALI), compared with that in the control group, respectively (correlation: 0.194; 95% confidence intervals, 0.101–0.282, p value = .001, z-value= 4.08) and (correlation: 0.099; 95% confidence intervals, 0.016–0.182, p value = .020, z value= 2.325). Estimating the correlation and 95% confidence intervals for the inflammatory agents and oxidative stress in the intervention group (apigenin 10 mg/kg), compared with that in the control group (ALI), respectively (correlation: 0.476; 95% confidence intervals, 0.391–0.553, p value = .001, z-value= 9.678) and (correlation: 0.415; 95% confidence intervals, 0.313–0.508, p value= .001, z-value= 7.349).Conclusion Apigenin may have potential anti-inflammatory and antioxidant effects in rat models of ALI. However, the efficacy of apigenin as a therapeutic strategy requires further investigation through prospective controlled randomized trials.Keywords: Acute lung injuryapigeninanti-inflammatoryflavonoids Declaration of interestThe authors report no conflicts of interest. The authors alone are responsible for the content and writing of this article.Data availability statementData are available on request to corresponding authors.Additional informationFundingThe author(s) reported there is no funding associated with the work featured in this article.
Identifying factors that influence Chinese herbal medicine (CHM) use in chronic lung disease (CLD) patients can inform targeted strategies to boost CHM use. However, the prevalence and factors affecting CHM use for treating CLD in middle-aged and older Chinese patients remain understudied. This study aims to examine the prevalence and influencing factors of CHM use among middle-aged Chinese patients with CLD.
Abstract. Grassland ecosystems are major components of the terrestrial ecosystems in arid and semiarid regions, and play important roles in the regional carbon dioxide (CO2) balance and cycle. Sandy grasslands are sensitive to climate change, yet the magnitudes, patterns, and environmental controls of their CO2 flows are poorly understood. Here, we report the results from continuous year-round CO2 observations in 5 years from a sandy grassland in the Horqin Sandy Land. The result showed that the sandy grassland was a CO2 source at annual scale (with mean annual net ecosystem CO2 exchange (NEE) of 48.88 ± 8.10 g C m−2 yr−1 in completely year 2015, 2016 and 2018), the total precipitation was the most important factor for NEE. At the seasonal scale, the sandy grassland showed a CO2 absorption during the summer, and in the rest of the seasons, it were all expressed as CO2 release. The main environmental factor of NEE were temperature and soil water content (SWC) in spring, radiation in summer, soil heat flux (SHF) and temperature in autumn, and SWC and temperature in winter. At the diel scale, net radiation (Rn) was the most important factor of NEE in all seasons. The sandy grassland may have been a net annual CO2 source at annual scale because the study site is recovering from degradation, thus vegetation productivity is still relatively low. Therefore, the ecosystem has not yet transitioned to a CO2 sink and long-term observations will be necessary to reveal the true source or sink intensity and its response to environmental and biological factors.
The association between lung function and motoric cognitive risk syndrome (MCR) is unclear. We aimed to explore the association of peak expiratory flow (PEF) with MCR using cross-sectional and longitudinal analyses.
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