Hiatal hernia (HH) is a common gastrointestinal disorder characterized by the displacement of abdominal contents, particularly the stomach, into the thoracic cavity. This condition is frequently associated with gastroesophageal reflux disease (GERD) and can lead to various symptoms, including chronic cough and respiratory issues. Despite its prevalence, the mechanisms linking psychological factors to HH are not well understood. Observational studies have suggested correlations between mental health issues – such as stress, anxiety, and depression – and gastrointestinal disorders, indicating that emotional states may influence the development of HH. This study aims to clarify the causal relationships between mood swings, depression, and the risk of developing HH using Mendelian randomization (MR), a robust method that utilizes genetic variants as instrumental variables (IVs) to infer causality. Data for this MR analysis were obtained from publicly available genome-wide association studies (GWAS). We employed a bidirectional, 2-sample MR approach, using IVs associated with mood swings, depression, feelings of tension, and feelings of misery as exposures, with HH as the outcome. A reverse MR analysis was also conducted, treating HH as the exposure and the aforementioned emotional states as outcomes. The primary analytical method used was inverse variance weighting (IVW), supplemented by sensitivity analyses, including MR-Egger and weighted median methods. Our analysis revealed significant associations: mood swings (OR = 1.014; 95% CI = 1.001–1.027; P = .032), depression (OR = 1.019; 95% CI = 1.006–1.033; P = .003), feelings of tension (OR = 1.012; 95% CI = 1.004–1.020; P = .001), and feelings of misery (OR = 1.007; 95% CI = 1.003–1.010; P = .0001) significantly increased the risk of HH. Importantly, reverse MR analysis indicated no causal influence of HH on these emotional states. This study provides evidence that mood swings, depression, feelings of tension, and feelings of misery are significant risk factors for developing HH. These findings highlight the need to address psychological factors in the clinical management and prevention strategies for HH, potentially improving patient outcomes.
Issatchenkia orientalis, a non-Saccharomyces yeast that can resist a wide variety of environmental stresses, has potential use in winemaking and bioethanol production. Little is known about gene expression or the physiology of I. orientalis under ethanol stress. In this study, high-throughput RNA sequencing was used to investigate the transcriptome profile of I. orientalis in response to ethanol. 502 gene transcripts were differentially expressed, of which 451 were more abundant, and 51 less abundant, in cells subjected to 4 h of ethanol stress (10% v/v). Annotation and statistical analyses suggest that multiple genes involved in ergosterol biosynthesis, trehalose metabolism, and stress response are differentially expressed under these conditions. The up-regulation of molecular chaperones HSP90 and HSP70, and also genes associated with the ubiquitin-proteasome proteolytic pathway suggests that ethanol stress may cause aggregation of misfolded proteins. Finally, ethanol stress in I. orientalis appears to have a nitrogen starvation effect, and many genes involved in nutrient uptake were up-regulated.
Issatchenkia orientalis known as a multi-tolerant non-Saccharomyces yeast, which tolerant environmental stresses, exhibits potential in wine making and bioethanol production. It is essential for the growth of I. orientalis to tolerant acetic acid in the mixed cultures with Saccharomyces cerevisiae. In this work, RNA-sequence and TMT (Tandem Mass Tag) were used to examine the comprehensive transcriptomic and proteomic profiles of I. orientalis in response to acetic acid. The results showed that 876 genes were identified differentially transcribed in I. orientalis genome and 399 proteins expressed in proteome after 4 hr acetic acid (90 mM, pH 4.5). The comprehensive analysis showed a series of determinants of acetic acid tolerance: Glycolysis and TCA cycle provide enough nicotinamide adenine dinucleotide to effectively convert acetic acid. Genes associated with potassium, iron, zinc, and glutathione synthesis were upregulated. The same changes of differentially expressed genes and proteins were mainly concentrated in chaperones, coenzyme, energy production, and transformation. Practical applications In addition to the main fermentation products, wine yeast also produces metabolite acetic acid in the fermentation process, and yeast cells are exposed to acetic acid stress, which restrains cell proliferation. Issatchenkia orientalis exhibits great potential in winemaking and bioethanol production. The yeast is known as a multi-tolerant non-Saccharomyces yeast that can tolerate a variety of environmental stresses. In this study, RNA-Seq and TMT were conducted to investigate the changes in transcriptional and proteomic profile of I. orientalis under acetic acid stress. The knowledge of the transcription and expression changes of the I. orientalis is expected to understand the tolerance mechanisms in I. orientalis and to guide traditional fermentation processes by Saccharomyces cerevisiae improving its high resistance to acetic acid stress.
Multiple-input-multiple-output (MIMO) arc array radar is a novel radar, which can obtain higher azimuth resolution and richer multi-angle information of targets with fewer array elements. However, the imaging efficiency of traditional wideband MIMO arc array radar is limited by the large amount of echo data. Single-frequency MIMO arc array radar has less echo data and the potential for efficient imaging, but the existing imaging algorithms cannot meet the requirements of practical applications. In this paper, we propose a fast 3D imaging method for near-field targets based on single-frequency MIMO arc array radar. After performing geometry-conversion compensation and matched filtering on the echo signal, the proposed method projects the echo spectrum into the image space, to reconstruct the 3D image of near-field targets. The advantages of the proposed method are low computational complexity and high imaging efficiency. Numerical simulation verifies the imaging performance of the proposed method.
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