This study was aimed to explore the magnetic resonance imaging (MRI) image features based on the fuzzy local information C-means clustering (FLICM) image segmentation method to analyze the risk factors of restroke in patients with lacunar infarction. In this study, based on the FLICM algorithm, the Canny edge detection algorithm and the Fourier shape descriptor were introduced to optimize the algorithm. The difference of Jaccard coefficient, Dice coefficient, peak signal-to-noise ratio (PSNR), structural similarity index measure (SSIM), running time, and segmentation accuracy of the optimized FLICM algorithm and other algorithms when the brain tissue MRI images were segmented was studied. 36 patients with lacunar infarction were selected as the research objects, and they were divided into a control group (no restroke, 20 cases) and a stroke group (restroke, 16 cases) according to whether the patients had restroke. The differences in MRI imaging characteristics of the two groups of patients were compared, and the risk factors for restroke in lacunar infarction were analyzed by logistic multivariate regression. The results showed that the Jaccard coefficient, Dice coefficient, PSNR value, and SSIM value of the optimized FLICM algorithm for segmenting brain tissue were all higher than those of other algorithms. The shortest running time was 26 s, and the highest accuracy rate was 97.86%. The proportion of patients with a history of hypertension, the proportion of patients with paraventricular white matter lesion (WML) score greater than 2 in the stroke group, the proportion of patients with a deep WML score of 2, and the average age of patients in the stroke group were much higher than those in the control group ( P < 0.05 ). Logistic multivariate regression showed that age and history of hypertension were risk factors for restroke after lacunar infarction ( P < 0.05 ). It showed that the optimized FLICM algorithm can effectively segment brain MRI images, and the risk factors for restroke in patients with lacunar infarction were age and hypertension history. This study could provide a reference for the diagnosis and prognosis of lacunar infarction.

Background: Preliminary research has shown an inhibited growth rate of well-differentiated laryngeal squamous cell carcinoma cells (FD-LSC-1) in below-background radiation (BBR), but how the cells respond to this environmental stress and the potential mechanisms are yet unknown. The current study aimed to reveal the molecular differences in cells grown under BBR conditions and normal radiation at the transcriptional level. Methods:The expression profiles between FD-LSC-1 cells grown in a deep underground laboratory and above ground laboratory collected on day 4 were investigated by whole-transcriptome analysis, including messenger RNAs (mRNAs), long non-coding RNAs (lncRNAs), circular RNAs (circRNAs), and microRNAs (miRNAs). Functional analyses of Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment were then implemented for differentially expressed (DE) mRNAs and target genes of lncRNAs and circRNAs. Co-expression levels and the Bayesian network of DE genes were subsequently constructed, and the reliability of expression patterns were validated by quantitative real-time PCR. Results:The study identified a total of 671 mRNAs, 286 lncRNAs, 489 circRNAs, and 6 miRNAs as significantly expressed in response to the environmental stress. The GO annotations regarding the biological processes category were mainly biological regulation, metabolic process, response to stimulus, cell cycle, and modification process. The KEGG enrichment analysis indicated that TGF-β and Hippo signaling played a crucial role in the transcriptional regulation of FD-LSC-1 cell growth under background radiation. Further network construction suggested that the enriched KEGG pathways affected this process by regulating cell proliferation-related genes including SMAD, SMAD7, CDH1, EGR1, and BMP2.Conclusions: Below-background radiation can lead to transcriptional changes in FD-LSC-1 cells cultured in the deep underground. The inhibitory growth effect is associated with multiple biological processes as well as canonical pathways of proliferation.

To understand the distribution characteristics of antibiotic resistance genes (ARGs) and mobile genetic elements (MGEs) in vegetable soil in the main facility agriculture distribution centres of Liaoning Province, 13 soil samples from seven sites including Chaoyang Yandu Xincheng, Zhuanghe, and Fushun were collected to detect the species and abundance of ARGs and MGEs, and analyse their correlation. The results showed that the ARGs were mainly tetracycline and macrolide antibiotic resistance genes, the transportable elements were transposases, and the cell protection and cell discharge pump was the main resistance mechanism. The detection rate of tetm-02, oprj, sul2, blaTEM, fox5, ermX, ermB, and ermF was 100%. The detection rate of integron IntΙ-1 and transposable enzyme tnpA-01 was 100%. The highest content of antibiotic resistance genes was found in Qiandangpu Village, Daying Town, and Zhuanghe City, followed by Wutun Village, Miaojia Village, Daying Town, and Dalian. Correlation analysis showed a correlation between the abundance of ARGs and the abundance of MGEs in agricultural soil. There was a significant positive correlation between the abundance of ARGs and integron (P < 0.05). The results of this study provide data support for the assessment of soil ARG pollution levels and the effective prevention and control of ARG transmission risk in the main protected vegetable fields in Liaoning Province.

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