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The coal mine internet of things (IoT) communication system is used for real-time monitoring of mining production to ensure the safety and reliability of personnel and equipment in the mine. To eliminate multipath fading in the process of wireless communication in mines, multiple-output multiplexing (MIMO) and orthogonal frequency division multiplexing (OFDM) technologies are introduced. In this paper, a wireless communication system architecture of IoT in mining based on MIMO-OFDM is constructed. Aiming to solve the problems of intersymbol interference and frequency selective fading at the receiver, an improved minimum mean square error ordered successive interferences cancellation (MMSE-OSIC) signal detection algorithm is proposed. First, the signal-to-interference plus noise ratio of the received signal is calculated and the calculation results are sorted. The lowest signal-to-noise ratio is selected as the weakest signal layer. Then, the MMSE-OSIC algorithm is used to extract all of the signals, except the weakest layer. Finally, a maximum likelihood (ML) algorithm is used to traverse the whole signal domain; the signal symbol with the smallest distance from the weakest signal layer is found as the original signal of the weakest signal layer, and it is combined with the signal detected by MMSE-OSIC; then, the final signal detection result is obtained. The simulation results show that, compared with three benchmark algorithms, the proposed MMSE-OSIC algorithm has better signal detection performance under the conditions of different modulation methods and different channel numbers. [ABSTRACT FROM AUTHOR]

Hypoxic conditions are a typical extrinsic factor for the modification of trophoblast biological functions, including cell proliferation, migration, and invasion. Hypoxia-induced reactive oxygen species (ROS) accumulation causes chronic trophoblast injury and contributes to preeclampsia (PE). Glutathione-S-transferase P (GSTP1) is a main regulator of ROS. However, it is still unknown whether GSTP1 is involved in ROS regulation under hypoxic conditions. Here, we investigated the expression level of GSTP1 in first-trimester villi placentas compared with full-term placentas and the effect of hypoxic conditions on GSTP1. GSTP1 expression in first-trimester villi placentas was much higher than that in full-term placentas. After hypoxia exposure, GSTP1 was significantly upregulated in JEG3 cells, a trophoblast-like cell line. Hypoxic-induced GSTP1 scavenged ROS accumulated by hypoxia exposure, potentially by promoting GST activity. The inhibitory effects of hypoxia exposure on cell proliferation, migration, and invasion induced by hypoxia exposure were obviously reversed by overexpression of GSTP1. Hypoxia-induced cell apoptosis was also reversed by GSTP1 overexpression, indicating the protective effects of GSTP1 against ROS-induced cell injury. Moreover, overexpressed GSTP1 markedly promoted the cell proliferation, migration, invasion, and colony formation abilities in JEG3 cells, demonstrating that GSP1 also exerts promoting effects under normoxic conditions. These data show that hypoxia-induced GSTP1 expression facilitates trophoblast cell proliferation, migration, and invasion and exerts protective effects under hypoxic conditions, which may play an important role during the increase in PE. [ABSTRACT FROM AUTHOR]

Background: To investigate the correlation between gut microbiota and circulating microRNAs (miRNAs) in patients with primary diagnosis of type 2 diabetes mellitus (T2DM) and to explore the possible mechanisms of miRNA-gut microbiota crosstalke network in the regulation of the insulin signaling pathway and glucose homeostasis in T2DM., Methods: T2DM patients and normal controls were recruited. Fasting plasma and fecal samples were collected from the subjects, and their biochemical indexes including fasting blood glucose (FBG), glycated hemoglobin (HbAlc), cholesterol (TC), total triglycerides (TG), high-density lipoprotein (HDL), low-density lipoprotein (LDL), and insulin were recorded. The variations in intestinal microbiota in the two groups were analyzed using 16S rRNA third-generation sequencing technology, and the differential expression of miRNAs between the groups was screened using miRNA high-throughput sequencing. The correlation and association between specifically changed intestinal microbiota and miRNA expressions were analyzed using a combination of bioinformatics analysis and statistical methods. Finally, 16S functional gene prediction analysis and target gene enrichment pathway analysis were carried out to predict relevant gut microbiota and miRNAs., Results: Compared with normal controls, the biochemical indexes of HAlbc, FBG, TG, TC, LDL, HDL, and insulin were significantly different in T2DM patients (P<0.001, P<0.001, P=0.0125, P=0.98, P<0.001 P=0.022, and P=0.0013, respectively). The two groups also showed significantly different intestinal microbiota distribution and miRNA expression characteristics, including in the counts of Bacteriodes. uniformis and Phascolarctobacterium. Faecium (P=0.023, 0.031), which were negatively correlated (P=0.014, FC = -2.36) with the expression levels of serum miR-122-5p (r=-0.68, -0.60, P=0.01, 0.01)., Conclusions: This study discovered specific gut microbiota and miRNA characteristics in patients with a primary diagnosis of T2DM. A negative correlation between miR-122-5p and the intestinal bacteria Bacteriodes. uniformis and Phascolarctobacterium. Faecium was also revealed, suggesting that the crosstalke between miRNA and gut microbiota may regulate the insulin secretion and signal transduction by controling key genes of glucose metabolism during the development of T2DM., Competing Interests: Conflicts of Interest: All authors have completed the ICMJE uniform disclosure form (available at http://dx.doi.org/10.21037/atm-20-6717). The authors have no conflicts of interest to declare., (2020 Annals of Translational Medicine. All rights reserved.)