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Permeability of coal reservoirs influence the extraction of coal gas from coal seams. Twelve coal samples were collected at an anticline and a syncline of the No. 3 coal seam in the Sihe coal mine. Porosity, permeability, pore size, vitrinite reflectance, and liquid nitrogen adsorption of the samples were evaluated. Structural curvatures at the sample locations, and the distance between the sampling locations and the nearest faults were calculated based on seismic data. The influences of the evaluated parameters on permeability were analyzed. Major factors that influence permeability of the No. 3 coal seam were extracted using principal component analysis (PCA). Based on the porosity–permeability model derived from the Archie formula and classic Kozeny–Carman equation, we deduced that the permeability of coal increased with an increase in porosity. With an increase in average vitrinite reflectance, permeability decreases first and then increases. PCA results showed that coal permeability was regulated by three key components representing three modes. The first component included pore size, depth, and pore complexity accounting for 52.59% of the variability indicating that it was the most important in controlling permeability. The second component included specific surface area, structural curvature, and porosity, and the third component comprised of specific surface area, porosity, and average vitrinite reflectance. Overall, pore diameter and complexity had significant effects on coal permeability. The results show that researchers and stakeholders must consider the interactions among multiple factors rather than single factors to understand the influences on permeability to facilitate efficient utilization of coalbed methane resources.

BackgroundSomatic cells could be reprogrammed to induced pluripotent stem cells (iPS) by ectopic expression of OCT4, SOX2, KLF4 and MYC (OSKM). We aimed to gain insights into the early mechanisms underlying the induction of pluripotency.MethodsGSE28688 containing 14 gene expression profiles were downloaded from GEO, including untreated human neonatal foreskin fibroblasts (HFF1) as control, OSKM-induced HFF1 (at 24, 48, 72 h post-transduction of OSKM encoding viruses), two iPS cell lines, and two embryonic stem (ES) cell lines. Differentially expressed genes (DEGs) were screened between different cell lines and the control by Limma package in Bioconductor. KEGG pathway enrichment analysis was performed by DAVID. The STRING database was used to construct protein-protein interaction (PPI) network. Activities and regulatory networks of transcription factors (TFs) were calculated and constructed by Fast Network Component Analysis (FastNCA).ResultsCompared with untreated HFF1, 117, 347, 557, 2263 and 2307 DEGs were obtained from three point post-transduction HFF1, iPS and ES cells. Meanwhile, up-regulated DEGs in first two days of HFF1 were mainly enriched in RIG-I-like receptor (RLR) and Toll-like receptor (TLR) signaling pathways. Down-regulated DEGs at 72 h were significantly enriched in focal adhesion pathway which was similar to iPS cells. Moreover, ISG15, IRF7, STAT1 and DDX58 were with higher degree in PPI networks during time series. Furthermore, the targets of six selected TFs were mainly enriched in screened DEGs.ConclusionIn this study, screened DEGs including ISG15, IRF7 and CCL5 participated in OSKM-induced pluripotency might attenuate immune response post-transduction through RLR and TLR signaling pathways.Virtual slidesThe virtual slide(s) for this article can be found here: http://www.diagnosticpathology.diagnomx.eu/vs/2503890341543007.

Background: Astrocyte elevated gene-1 (AEG-1), also known as metadherin, 3D3, and lysine-rich carcinoembryonic antigen-related cell adhesion molecule 1 (CEACAM1) coisolated, has emerged as an important oncogene that is overexpressed in a variety of cancers. Previous studies revealed that AEG-1 is also involved in multiple physiological and pathological processes, such as development, inflammation, neurodegeneration, migraine, and Huntington's disease. However, the function of AEG-1 in diabetic cardiomyopathy (DCM) has not been reported yet. Therefore, we conducted this study to characterize the potential role and mechanism of AEG-1 in DCM rats.Methods: DCM was induced by injections of streptozocin (STZ) in Wistar rats.Rats were randomized to be injected with lentivirus carrying AEG-1 small interfering RNA. Haemodynamic changes of Wistar rats, assessment of cardiac weight index, and the expression of AEG-1 and KLF4 were detected and compared among these three groups.Results: The expressions of AEG-1 and KLF4 in the STZ group were significantly elevated in cardiac tissues compared with the control group. Knockdown of AEG-1 significantly increased the values of left ventricular ejection fraction, ±dp/dt max , repressed autophagy, as well as upregulated the expression of KLF4.Conclusions: Knockdown of AEG-1 suppresses autophagy in DCM by downregulating the expression of KLF4. This study provide first-notion evidence for the potential value of AEG-1 as a therapeutic target for the treatment of the patients with DCM. K E Y W O R D S astrocyte elevated gene-1 (AEG-1), diabetic cardiomyopathy (DCM), KLF4 J Cell Biochem. 2019;120:9709-9715. wileyonlinelibrary.com/journal/jcb Tang N. Astrocyte elevated gene-1 induces autophagy in diabetic cardiomyopathy through upregulation of KLF4. J Cell Biochem. 2019; 120:9709-9715. https://doi.

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Tropospheric ozone (O3) pollution is becoming the primary obstacle to the improvement of air quality in China, especially in the Pearl River Delta (PRD) region. Because O3 pollution episodes are closely related to synoptic weather patterns (SWPs), historical episodes (from 2006 to 2019) were classified according to SWPs using the Lamb‐Jenkinson method. Monitoring network and weather reanalysis data, emission inventories, and satellite retrievals were used to investigate the spatiotemporal characteristics and influences of O3 pollution. It was found that easterly (P_E), anticyclone (P_A), and typhoon‐related (P_NE) SWPs accounted for 75% of all O3 pollution episodes. In the PRD, the O3 formation mechanism showed clear differences under different SWPs, which were affected by local emissions under P_A, whereas regional transmission dominated under P_E and P_NE. The O3 peak concentration was strongly associated with temperature, solar radiation, and shifting of the sea‐land breeze. A delayed shift of land to sea breeze caused by SWPs often caused the O3 peak to appear in the late afternoon. Finally, stepwise regression was used to explain individual meteorological parameters contributing to O3 formation. It was found that the formation of O3 pollution under P_E and P_NE was associated with increases in temperature and radiation, while P_A was mainly affected by the increase of the overnight accumulation of O3. This study advances our knowledge of the formation mechanism of O3 pollution and provides scientific support for effective O3 pollution control.