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The increasing incidence of retrogressive thaw slumps (RTSs) in permafrost regions underscores the need for detailed spatial and temporal analysis using InSAR technology to monitor and predict dynamic changes in the process of RTSs. Nevertheless, current InSAR deformation forecasting methods employing deep learning strategies such as the traditional long short-term memory (LSTM) and recent transformer models encounter difficulties in effectively capturing temporal features. Moreover, they are limited in their ability to directly integrate spatial information. In this paper, an innovative deep learning approach named Spacetimeformer is proposed for predicting medium- and short-term InSAR deformation of RTSs in the Chumar River area. This method employs a transformer architecture with a spatiotemporal attention mechanism, which enhances the long-term prediction capabilities of time series models and dynamic spatial modeling. It is applicable to multivariate InSAR spatiotemporal deformation prediction problems. The findings include a list of 72 RTSs compiled based on derived InSAR deformation maps and Sentinel-2 optical images, of which 64 have an average deformation rate exceeding 10 mm/year, indicating signs of permafrost degradation. The density distribution of the displacement maps predicted by the Spacetimeformer model aligned well with the InSAR deformation maps obtained from the small baseline subset (SBAS) method, with the overall prediction deviation controlled within 20 mm. In addition, the point-scale prediction results were compared with LSTM and transformer models. This study indicates that the Spacetimeformer network achieved good results in predicting the deformation of RTSs, with a root mean square error of 1.249 mm. The Spacetimeformer method for deformation prediction with the spacetime mechanism presented in this study can serve as a general framework for multivariate deformation prediction based on InSAR results. It can also quantitatively assess the spatial deformation characteristics and deformation trends of RTSs. [ABSTRACT FROM AUTHOR]

Background. Esophageal cancer is one of the most deadly malignant tumors. Among the common malignant tumors in the world, esophageal cancer is ranked seventh, which has a high mortality rate. Long noncoding RNAs (lncRNAs) play an important role in the occurrence and development of various tumors. lncRNAs can competitively bind microRNAs (miRNAs) with mRNA, which can regulate the expression level of the encoded gene at the posttranscriptional level. This regulatory mechanism is called the competitive endogenous RNA (ceRNA) hypothesis, and ceRNA has important research value in tumor-related research. However, the regulation of lncRNAs is less studied in the study of esophageal cancer. Methods. The Cancer Genome Atlas (TCGA) database was used to download transcriptome profiling data of esophageal cancer. Gene expression quantification data contains 160 cancer samples and 11 normal samples. These data were used to identify differentially expressed lncRNAs and mRNAs. miRNA expression data includes 185 cancer samples and 13 normal samples. The differentially expressed RNAs were identified using the edgeR package in R software. Then, the miRcode database was used to predict miRNAs that bind to lncRNAs. MiRTarBase, miRDB, and TargetScan databases were used to predict the target genes of miRNAs. Cytoscape software was used to draw ceRNA network. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses were performed using DAVID 6.8. Finally, multifactor cox regression was used to screen lncRNAs related to prognosis. Results. We have screened 1331 DElncRNAs, 3193 DEmRNAs, and 162 DEmiRNAs. Among them, the ceRNA network contains 111 lncRNAs, 11 miRNAs, and 63 DEmRNAs. Finally, we established a prediction model containing three lncRNAs through multifactor Cox regression analysis. Conclusions. Our research screened out three independent prognostic lncRNAs from the ceRNA network and constructed a risk assessment model. This is helpful to understand the regulatory role of lncRNAs in esophageal cancer. [ABSTRACT FROM AUTHOR]

Silicosis is an incurable occupational disease, and its pathological feature is diffuse pulmonary fibrosis. Pulmonary epithelial‐mesenchymal transition (EMT) is one of the important events in the pathogenesis of silicosis. Previous studies found that abnormal expression of various microRNAs (miRNAs) involved in the development of lung fibrosis. However, their roles in silicosis have not been elucidated. To research the biological effects of miR‐34a in EMT process in silica‐induced lung fibrosis, we established the silicosis model in mouse and miR‐34a intervention in a cell model of TGF‐β1 stimulated lung epithelial cells (A549). The results showed that miR‐34a expression was down‐regulated in the fibrotic lung tissue after silica treatment, and it was similarly expressed in A549 cells stimulated by TGF‐β1. Meanwhile, silica‐induced EMT process can increase expression of two mesenchymal markers, α‐SMA and vimentin. Furthermore, overexpression miR‐34a markedly inhibited EMT stimulated by TGF‐β1. Mechanistically, SMAD4 was identified as the target of miR‐34a. SMAD4 levels decreased in mRNA and protein levels in A549 cells upon miR‐34a overexpression. In addition, the knockdown of SMAD4 blocked the EMT process. Taken together, miR‐34a regulated EMT, which might be partially realized by targeting SMAD4. Our data might provide new insight into treatment targets for silica‐induced pulmonary fibrosis. [ABSTRACT FROM AUTHOR]

Silicosis, a severe and irreversible form of pulmonary fibrosis (PF) caused by long-term exposure to dust particles in production environments, is the biggest occupational health concern in China and most low-income countries. The transdifferentiation of pulmonary fibroblasts is the terminal event in silicosis, and specific transcription factors (TFs) play a crucial role in this condition. However, the relationship between TF-mediated regulation and silicosis remains unknown. We performed a transcriptomic analysis to elucidate this relationship, and our results revealed that two TFs, EGR2 and BHLHE40 , were upregulated and five, i.e. , TBX2 , NR1H3 (LXRα), NR2F1 , PPARG (PPARγ), and EPAS1 , were downregulated in activated fibroblasts. Notably, PPARγ and LXRα expression was also decreased in an experimental mouse model of silicosis. The mechanism underlying these changes may involve TGF-β1 secretion from silica-exposed alveolar macrophages, causing PPARγ and LXRα downregulation, which in turn would result in aberrant α-SMA transcription. Our results suggest that LXRα is a potential target for the prevention of silicosis and PF. Unlabelled Image • Seven transcription factors were found dysregulated in experimental silicosis. • PPARγ and LXRα expression was decreased in silica-treated mice. • Rosiglitazone upregulated LXRα, suppressing fibroblast transdifferentiation. • PPARγ/LXRα axis controls fibroblast activation, a crucial step in silicosis. [ABSTRACT FROM AUTHOR]

The main clinical manifestations are pulmonary fibrosis, silicosis, is one of the most common types of pneumoconiosis, and its pathogenesis is still unclear. The proliferation and transdifferentiation of fibroblasts are considered to be the key link leading to pulmonary fibrosis. Type II alveolar epithelial cells can be transformed into lung fibroblasts through epithelial-mesenchymal transition (EMT) to promote lung fibrosis. Involved in the EMT process of a variety of cancers, lncRNA UCA1 (UCA1) has been shown to competitively adsorb miR-204-5p, and play an effect on the downstream target gene E -box binding zinc finger protein 1 (ZEB1), thereby promoting EMT to facilitate the invasion and migration of cancer cells. This is an important potential intervention target that affects the process of EMT, but it has not been reported in the study of EMT related to silicosis. Therefore, this study established a SiO 2 dust-treated mouse silicosis model and an in vitro EMT model of A549 cells to observe the changes and effects of UCA1 and miR-204-5p, and intervene on the two respectively. The results showed that the EMT process existed in the aforementioned models, while UCA1 was upregulated in the in vitro model. Double luciferase reporter assay demonstrated the targeted binding of UCA1 and miR-204-5p. Silencing UCA1 can up-regulate the expression of miR-204-5p and reduce the level of ZEB1, thus inhibiting EMT process, while intervention of miR-204-5p can change the level of ZEB1 and regulate EMT. Therefore, UCA1 may release its target gene ZEB1 through competitive adsorption of miR-204-5p to regulate EMT process. • The EMT process exists in a mouse model of silicosis. • Silencing UCA1 can inhibit EMT in an in vitro model. • UCA1 can regulate EMT in vitro by adsorbing miR-204-5p through the "sponge". • Changes in miR-204-5p can modulate EMT in vitro by targeting ZEB1. [ABSTRACT FROM AUTHOR]

Mn (Manganese, Mn) is an essential trace element involved in various biological processes such as the regulation of immune, nervous and digestive system functions. However, excessive Mn exposure can lead to immune damage. Occupational workers in cement and ferroalloy manufacturing and other related industries are exposed to low levels of Mn for a long time. Mn exposure is one of the important occupational hazards, but the research on the effect of Mn on the immune system of the occupational population is not complete, and there is no reliable biomarker. Therefore, this study aimed to evaluate the immunotoxicity of Mn from the soluble immune checkpoint TIM-3 (T-cell immunoglobulin and mucin containing protein 3, TIM-3) and complement C3. A total of 144 Mn-exposed workers were recruited from a bus manufacturing company and a railroad company in Henan Province. An inductively coupled plasma mass spectrometer was used to detect the concentration of RBC Mn (Red blood cell Mn, RBC Mn), and ELISA kits were used to detect serum complement C3 and TIM-3. Finally, the subjects were statistically analyzed by dividing them into low and high Mn groups based on the median RBC Mn concentration. We found that Mn exposure resulted in elevated serum TIM-3 expression and decreased complement C3 expression in workers; that serum TIM-3 and complement C3 expression showed a dose-response relationship with RBC Mn; and that the mediating effect of complement C3 between RBC Mn and TIM-3 was found to be significant. The above findings indicate that this study has a preliminary understanding of the effect of Mn exposure on the immune system of the occupational population exposed to Mn, and complement C3 and TIM-3 may be biomarkers of Mn exposure, which may provide clues for the prevention and control of Mn occupational hazards., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2023 Qi, Si, Jin, Guo, Xia, He, Deng, Deng, Yao and Hao.)

Silicosis is a devastating occupational disease caused by long-term inhalation of silica particles, inducing irreversible lung damage and affecting lung function, without effective treatment. Mesenchymal stem cells (MSCs) are a heterogeneous subset of adult stem cells that exhibit excellent self-renewal capacity, multi-lineage differentiation potential and immunomodulatory properties. The aim of this study was to explore the effect of bone marrow-derived mesenchymal stem cells (BMSCs) in a silica-induced rat model of pulmonary fibrosis. The rats were treated with BMSCs on days 14, 28 and 42 after perfusion with silica. Histological examination and hydroxyproline assays showed that BMSCs alleviated silica-induced pulmonary fibrosis in rats. Results from ELISA and qRT-PCR indicated that BMSCs inhibited the expression of inflammatory cytokines TNF-α, IL-1β and IL-6 in lung tissues and bronchoalveolar lavage fluid of rats exposed to silica particles. We also performed qRT-PCR, Western blot and immunohistochemistry to examine epithelial-mesenchymal transition (EMT)-related indicators and demonstrated that BMSCs up-regulate E-cadherin and down-regulate vimentin and extracellular matrix (ECM) components such as fibronectin and collagen Ⅰ. Additionally, BMSCs inhibited the silica-induced increase in TGF-β1, p-Smad2 and p-Smad3 and decrease in Smad7. These results suggested that BMSCs can inhibit inflammation and reverse EMT through the inhibition of the TGF-β/Smad signalling pathway to exhibit an anti-fibrotic effect in the rat silicosis model. Our study provides a new and meaningful perspective for silicosis treatment strategies., (© 2021 The Authors. Journal of Cellular and Molecular Medicine published by Foundation for Cellular and Molecular Medicine and John Wiley & Sons Ltd.)