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• Competitive null models may yield false positives from co-expression. • Self-contained null models may yield false positives from bimodal correlations. • Test statistics interact differently with two types of null models. • Supplementary analyses with various configurations support the findings. Correlating transcriptional profiles with imaging-derived phenotypes has the potential to reveal possible molecular architectures associated with cognitive functions, brain development and disorders. Competitive null models built by resampling genes and self-contained null models built by spinning brain regions, along with varying test statistics, have been used to determine the significance of transcriptional associations. However, there has been no systematic evaluation of their performance in imaging transcriptomics analyses. Here, we evaluated the performance of eight different test statistics (mean, mean absolute value, mean squared value, max mean, median, Kolmogorov-Smirnov (KS), Weighted KS and the number of significant correlations) in both competitive null models and self-contained null models. Simulated brain maps (n = 1,000) and gene sets (n = 500) were used to calculate the probability of significance (Psig) for each statistical test. Our results suggested that competitive null models may result in false positive results driven by co-expression within gene sets. Furthermore, we demonstrated that the self-contained null models may fail to account for distribution characteristics (e.g., bimodality) of correlations between all available genes and brain phenotypes, leading to false positives. These two confounding factors interacted differently with test statistics, resulting in varying outcomes. Specifically, the sign-sensitive test statistics (i.e., mean, median, KS, Weighted KS) were influenced by co-expression bias in the competitive null models, while median and sign-insensitive test statistics were sensitive to the bimodality bias in the self-contained null models. Additionally, KS-based statistics produced conservative results in the self-contained null models, which increased the risk of false negatives. Comprehensive supplementary analyses with various configurations, including realistic scenarios, supported the results. These findings suggest utilizing sign-insensitive test statistics such as mean absolute value, max mean in the competitive null models and the mean as the test statistic for the self-contained null models. Additionally, adopting the confounder-matched (e.g., coexpression-matched) null models as an alternative to standard null models can be a viable strategy. Overall, the present study offers insights into the selection of statistical tests for imaging transcriptomics studies, highlighting areas for further investigation and refinement in the evaluation of novel and commonly used tests. [ABSTRACT FROM AUTHOR]

Endometritis is a significant contributor to reduced productivity in yaks in Tibet, China. The Cyt-c/Caspase-3 signaling axis plays a crucial role in the mitochondrial pathway that triggers cell apoptosis due to endogenous factors. In this study, we examined the endometrial epithelial tissue of yaks with endometritis using pathological examination, immunohistochemical analysis, TUNEL staining, qRT-PCR, and Western blot. The results indicated significant changes in the apoptotic factors of the Cyt-c/Caspase-3 signaling axis. The expression levels of Bak1, Bax, Cyt-c, Apaf-1, Caspase-9, and Caspase-3 were significantly increased (P < 0.05), while the expression level of Bcl-2 was significantly decreased. Immunohistochemistry results revealed significant increase in Bak1, Bax, Cyt-c, Apaf-1, Caspase-9, and Caspase-3 expression in the cytoplasm compared to the healthy group, except for Bcl-2, which showed a significant decrease. Pathological section analysis demonstrated that clinical endometritis in yaks led to structural damage, bleeding, congestion, and inflammatory cell infiltration in the endometrial epithelium. Our study findings indicated that clinical endometritis in yaks can modulate apoptosis of endometrial epithelial cells via the Cyt-c/Caspase-3 signaling pathway, resulting in different levels of damage. This research is pioneering in exploring cell apoptosis induced by clinical endometritis in yaks, offering novel insights and potential strategies for the future prevention and treatment of endometritis in yaks. • The occurrence of yak endometritis is accompanied by cell apoptosis. • The Cyt-c/Caspase-3 signaling axis and its related factors play a significant role in the development of yak endometritis. • This study provides new insights into the relationship between endometritis and apoptosis in yak. [ABSTRACT FROM AUTHOR]

Moment-to-moment reaction time variability on tasks of attention, often quantified by intra-individual response variability (IRV), provides a good indication of the degree to which an individual is vulnerable to lapses in sustained attention. Increased IRV is a hallmark of several disorders of attention, including Attention-Deficit/Hyperactivity Disorder (ADHD). Here, task-based fMRI was used to provide the first examination of how average brain activation and functional connectivity patterns in adolescents are related to individual differences in sustained attention as measured by IRV. We computed IRV in a large sample of adolescents (n = 758) across 'Go' trials of a Stop Signal Task (SST). A data-driven, multi-step analysis approach was used to identify networks associated with low IRV (i.e., good sustained attention) and high IRV (i.e., poorer sustained attention). Low IRV was associated with greater functional segregation (i.e., stronger negative connectivity) amongst an array of brain networks, particularly between cerebellum and motor, cerebellum and prefrontal, and occipital and motor networks. In contrast, high IRV was associated with stronger positive connectivity within the motor network bilaterally and between motor and parietal, prefrontal, and limbic networks. Consistent with these observations, a separate sample of adolescents exhibiting elevated ADHD symptoms had increased fMRI activation and stronger positive connectivity within the same motor network denoting poorer sustained attention, compared to a matched asymptomatic control sample. With respect to the functional connectivity signature of low IRV, there were no statistically significant differences in networks denoting good sustained attention between the ADHD symptom group and asymptomatic control group. We propose that sustained attentional processes are facilitated by an array of neural networks working together, and provide an empirical account of how the functional role of the cerebellum extends to cognition in adolescents. This work highlights the involvement of motor cortex in the integrity of sustained attention, and suggests that atypically strong connectivity within motor networks characterizes poor attentional capacity in both typically developing and ADHD symptomatic adolescents. [ABSTRACT FROM AUTHOR]

In this study, we collected feces of Tibetan piglets from Nyingchi area for isolation, culture, identification, virulence gene analysis and drug resistance analysis of Escherichia Coli. The results demonstrated a 41.3% isolation rate of Diarrheagenic Escherichia Coli from Tibetan pigs with the main phylogenetic groups: group A (68.6%) and group B2 (15.7%). Typical E.coli accounted for 76.5%. The highest detection rates of porcine virulence genes were E.coli heat-resistant enterotoxin STb (58.82%) and F107 fimbrial subunit (23.53%). The highest detection rates of virulence genes from Tibetan pigs were fimC (80.39%) and ompA (76.47%). A drug sensitivity test showed that Diarrheagenic Escherichia Coli from Tibetan pigs had high drug resistance rates to mezlocillin , doxycycline and gentamicin. This study comprehensively analyzed the species composition, virulence and drug resistance of Diarrheagenic Escherichia Coli from Tibetan pigs, which provided a clearer and more targeted idea for the prevention and treatment of yellow and white dysentery in Tibetan pigs in the future. [ABSTRACT FROM AUTHOR]

The goal of this work is to develop software that enables the rapid implementation of custom MRI spectrometers using commercially-available software defined radios (SDRs). The developed gr-MRI software package comprises a set of Python scripts, flowgraphs, and signal generation and recording blocks for GNU Radio, an open-source SDR software package that is widely used in communications research. gr-MRI implements basic event sequencing functionality, and tools for system calibrations, multi-radio synchronization, and MR signal processing and image reconstruction. It includes four pulse sequences: a single-pulse sequence to record free induction signals, a gradient-recalled echo imaging sequence, a spin echo imaging sequence, and an inversion recovery spin echo imaging sequence. The sequences were used to perform phantom imaging scans with a 0.5 Tesla tabletop MRI scanner and two commercially-available SDRs. One SDR was used for RF excitation and reception, and the other for gradient pulse generation. The total SDR hardware cost was approximately $2000. The frequency of radio desynchronization events and the frequency with which the software recovered from those events was also measured, and the SDR’s ability to generate frequency-swept RF waveforms was validated and compared to the scanner’s commercial spectrometer. The spin echo images geometrically matched those acquired using the commercial spectrometer, with no unexpected distortions. Desynchronization events were more likely to occur at the very beginning of an imaging scan, but were nearly eliminated if the user invoked the sequence for a short period before beginning data recording. The SDR produced a 500 kHz bandwidth frequency-swept pulse with high fidelity, while the commercial spectrometer produced a waveform with large frequency spike errors. In conclusion, the developed gr-MRI software can be used to develop high-fidelity, low-cost custom MRI spectrometers using commercially-available SDRs. [ABSTRACT FROM AUTHOR]

Previous studies have provided insights into the representations of original and relative values and the influence of predictability on decision making. However, whether the predictability of outcomes can influence the processing manner of outcomes (i.e. whether the outcomes are processed in terms of original or relative values) is still unknown. To investigate this issue, we had participants perform a monetary decision task which resulted in two outcomes with the same relative values but different original values in either a predictable or unpredictable condition, while recording event-related potentials (ERP). ERP results showed that the outcome processing in the unpredictable condition elicited more positive deflections in the time window of 300–500 ms (P300) than did those in the predictable condition. More importantly, the outcome with high original value elicited a greater P300 component than did that with low original value in the unpredictable condition even though these two outcomes had the same relative values, while in the predictable condition no significant difference was observed between ERPs elicited by the two outcomes even though their original values were different. These results suggest that the outcomes might be processed in terms of relative values in the predictable condition but original values in the unpredictable condition. [ABSTRACT FROM AUTHOR]

This work presents a no-reference sharpness metric for Gaussian blurred image. The metric is based on the notion of relative blur. The key concept is that the judgement on the sharpness closely relates to the degree of convenience for recognizing image objects on a certain scale. Based on this concept, the proposed metric is defined as relative blur with respect to certain object scale using an absolute blur measure. The object scale is characterized by a granularity analysis of image content. And the absolute blur is built on an analysis of edge local gray level distribution. The performance of the metric is tested and compared with some outstanding existing metrics in this field on three widely used databases. The experiment results show that the proposed metric can predict the sharpness of images in varying databases with high accuracy and reliability. [ABSTRACT FROM AUTHOR]

Highlights: [•] We describe a Shinnar–Le Roux algorithm to design -selective RF pulses. [•] The algorithm improves the selectivity of -selective pulses. [•] A new pulse form is described that can accurately excite large tip-angles. [•] The pulses’ sensitivity to off-resonance decreases with increasing . [•] The pulses have similar thresholds as BIR-4 pulses, but are more sensitive to off-resonance. [Copyright &y& Elsevier]

This study was ascertained to investigate the adverse effects of pathogenic E. coli on gut microbiota of Tibetan piglets with history of yellow and white dysentery. For this purpose, a total of 18 fecal samples were collected from infected and healthy Tibetan piglets for 16S rRNA gene amplification and sequencing of V3–V4 region. Results showed that Firmicutes , Bacteroidia Fusobacteriota , Proteobacteria and Actinobacteriota were the predominant bacteria in Tibetan piglets at the level of phylum classification. Results on classification at family level showed that Lactobacillus , Bacteroidota , Fusobacteriota and Enterobacteriaceae were the dominant bacteria. Results on classification of bacteria at phylum level compared with normal piglets indicated that Bacteroidota , Actinobacteriota , Euryarchaota and Spirochaetota in fecal microbial community in Tibetan piglets showing yellow dysenteric and diarrhea group were significantly decreased (P ≤ 0.05). Compared with the feces of healthy Tibetan piglets, the abundance of Escherichia-Shigella , Lactobacillus and Enterococcus increased significantly in feces of Tibetan piglets having yellow dysentery and white dysentery. Moreover, results exhibited that the Proteobacteria and Fusobacteriota were significantly increased (P ≤ 0.05) suggesting dominant microbial community. Results revealed that E. coli induced different pathological alterations in intestine including damage to intestinal epithelial cells, infiltration of inflammatory cells, presence of red blood cells in spaces of tissues, hemorrhages and necrosis of intestinal villi in piglets with history of yellow dysentery. This study for the first time reported the composition, characteristics, and differences of the fecal microflora diversity of Tibetan piglets with yellow and white dysentery in Qinghai-Tibet Plateau, which can provide a suitable support for effective control of diarrhoeal disease in these animals. • E. coli induce pathological alterations in intestinal tract of Tabetan piglets. • This study investigate adverse effects of pathogenic E. coli on intestinal flora. • Firmicutes, Bacteroidia Fusobacteriota, Proteobacteria and Actinobacteriota were the predominant bacteria. • This study for the first time reported the fecal microflora diversity in piglets. [ABSTRACT FROM AUTHOR]

Rapidly identifying cachexia-inducing factors that directly induce muscle wasting is an existing challenge. We developed two reporter cell lines that allow swift detection of such factors in blood from patients. C2C12 myoblasts were used for the establishment of reporter cells. A luciferase reporter gene, driven by promoters of wasting genes, Muscle RING-finger protein-1 (MuRF1) and Muscle Atrophy F-Box Protein (MAFbx / Atrogin-1) were used for the construction of reporter constructs. Increased expression of these genes in muscle tissue under wasting conditions was shown in vivo and in vitro. We found these reporter cell lines could detect factors associated with cancer cachexia, such as myostatin (Mstn), activin A, and TNF-α. We further investigated the capacity to directly detect a cachectic state using plasma samples from cachectic mice and cancer patients. Activation of the reporter cell lines was observed by the addition of plasma from mice with cancer cachexia and serum samples from patients with pancreatic or colorectal cancer. These results indicate that the reporter cell lines are competent as a tool for screening cachexia-inducing factors and potentially distinguishing a cachectic state induced by cancer. Image 1 • Reporter cell lines were created for detection of cachexia inducing factors in blood. • Differentiated C2C12 myotubes were engineered to express luciferase under muscle wasting promotors, MuRF-1 and Atrogin-1. • These cells lines are able to detect a cachexic state in human and mouse blood samples. • These tools may allow for rapid clinical detection of cachexia in cancer patients. [ABSTRACT FROM AUTHOR]

Cystic Echinococcosis (hydatidosis) is caused by the larval stage of Echinococcus spp. It is an animal-borne zoonotic parasitic disease with local epidemic and natural foci, which is very common in northwest China. In recent years, a considerable attention has been paid to the epidemic investigation of hydatid disease in humans and sheep, but there are few large-scale epidemic investigation and data analysis of bovine hydatid disease. We systematically reviewed and analyzed the prevalence of bovine hydatid disease (2000–2021) in China for the first time. Several databases including CNKI, Wanfang, VIP Chinese periodical database, Baidu Library, PubMed and ScienceDirect were used to search 57 articles and 72 sets of valid data about bovine hydatid disease in China from 2000 to 2021. We used the random effect model in META package of R software, and PAS for rate conversion. The subgroup analysis and univariate meta regression analysis were used to reveal the factors leading to the heterogeneity of the study. The total prevalence rate of bovine hydatid disease in China from 2000 to 2021 is estimated to be 17.27% (10898/63113). According to the analysis of sampling years, the lowest positive rate since 2016 is 7.54% (1503/19929). The highest prevalence rate of bovine hydatid disease is 53.93% (4340/8048). The infection rate of bovine liver accounted for the highest proportion of the total infections, 45.2% (2040/4507). We also assessed the effects of different geographical and climatic factors on the prevalence of bovine hydatid disease. The results showed that the prevalence rate of hydatid disease was higher in cold and humid areas. Although the infection rate of bovine hydatid disease has declined in recent years, it is still necessary to carry out long-term surveillance and control of hydatid disease, cut off the infection route and reduce the risk of infection in high-risk areas. • Cystic echinococcosis is a serious animal-borne zoonotic parasitic disease. • Meta-analysis was used to evaluate the prevalence of bovine hydatid disease. • The prevalence of bovine hydatid disease in China is estimated to be 17.27%. • The prevalence of hydatid disease was higher in cold and humid areas. [ABSTRACT FROM AUTHOR]