Systematic Pan-Cancer Analysis Reveals the Prognostic Value and Immunological Role of EPHX2

Background Accumulating evidence indicates the essential role of EPHX2 in tumorigenesis. However, to date, no studies have performed a systematic evaluation of EPHX2 gene in human cancers and the predictive role of EPHX2 in cancer immunotherapy response has still not been explored. Methods In the present study, Oncomine, TIMER2, UALCAN, GEPIA2, PrognoScan, HPA and Kaplan-Meier Plotter database were utilized to comprehensively analyze the expression landscape and prognostic clinical value of EPHX2 across 33 human cancers. To gain a better understanding of the role of EPHX2 in cancer immunotherapy, the correlations between EPHX2 and tumor immune microenvironment (TME) such as immune cell infiltrations, immune modulators, and the major histocompatibility complex were demonstrated. The underlying EPHX2-associated signaling pathways in cancer were also analysed. Moreover, the correlation between EPHX2 and immunotherapeutic biomarkers such as tumor mutational burden (TMB) and microsatellite instability (MSI) was explored. At last, the potential immune checkpoint blockers (ICB) response was predicted using tumor immune dysfunction and exclusion (TIDE) algorithm. Results Overall, the mRNA expression of EPHX2 was significantly downregulated in the majority of tumors compared with normal tissues. Despite the significant prognostic value of EPHX2 expression across cancers, EPHX2 played a protective or detrimental role in different kinds of cancers. Generally speaking, immune cell infiltrations, immune modulators and immunotherapeutic biomarkers were all strongly related to the expression of EPHX2. Besides, EPHX2 expression was significantly related to immune-relevant pathways, especially in PAAD, THYM and UVM. Furthermore, our study demonstrated diverse response patterns of ICB in response to EPHX2 expression in different tumor types. Conclusion Our findings here suggest that EPHX2 could be a prognostic factor in multiple cancers and play an important role in tumor immunity by affecting infiltrating immune cells, TMB and MSI. This study provides further insight into the role of EPHX2 in tumor immunotherapy.

Contrasting patterns of bacterial communities in the rearing water and gut of Penaeus vannamei in response to exogenous glucose addition

Supplementing exogenous carbon sources is a practical approach to improving shrimp health by manipulating the microbial communities of aquaculture systems. However, little is known about the microbiological processes and mechanisms of these systems. Here, the effects of glucose addition on shrimp growth performance and bacterial communities of the rearing water and the shrimp gut were investigated to address this knowledge gap. The results showed that glucose addition significantly improved the growth and survival of shrimp. Although the α-diversity indices of both bacterioplankton communities and gut microbiota were significantly decreased by adding glucose, both bacterial communities exhibited divergent response patterns to glucose addition. Glucose addition induced a dispersive bacterioplankton community but a more stable gut bacterial community. Bacterial taxa belonging to Ruegeria were significantly enriched by glucose in the guts, especially the operational taxonomic unit 2575 (OTU2575), which showed the highest relative importance to the survival rate and individual weight of shrimp, with the values of 43.8 and 40.6%, respectively. In addition, glucose addition increased the complexity of interspecies interactions within gut bacterial communities and the network nodes from Rhodobacteraceae accounted for higher proportions and linked more with the nodes from other taxa in the glucose addition group than that in control. These findings suggest that glucose addition may provide a more stable gut microbiota for shrimp by increasing the abundance of certain bacterial taxa, such as Ruegeria.

Multi-Omics Revealing the Response Patterns of Symbiotic Microorganisms and Host Metabolism in Scleractinian Coral Pavona minuta to Temperature Stresses

Global climate change has resulted in large-scale coral reef decline worldwide, for which the ocean warming has paid more attention. Coral is a typical mutually beneficial symbiotic organism with diverse symbiotic microorganisms, which maintain the stability of physiological functions. This study compared the responses of symbiotic microorganisms and host metabolism in a common coral species, Pavona minuta, under indoor simulated thermal and cold temperatures. The results showed that abnormal temperature stresses had unfavorable impact on the phenotypes of corals, resulting in bleaching and color change. The compositions of symbiotic bacteria and dinoflagellate communities only presented tiny changes under temperature stresses. However, some rare symbiotic members have been showed to be significantly influenced by water temperatures. Finally, by using ultra-performance liquid chromatography tandem mass spectrometry (UPLC–MS) method, we found that different temperature stresses had very different impacts on the metabolism of coral holobiont. The thermal and cold stresses induced the decrease of anti-oxidation metabolites, several monogalactosyldiacylglycerols (MGDGs), and the increase of lipotoxic metabolite, 10-oxo-nonadecanoic acid, in the coral holobiont, respectively. Our study indicated the response patterns of symbiotic microorganisms and host metabolism in coral to the thermal and cold stresses, providing theoretical data for the adaptation and evolution of coral to a different climate in the future.

The determinants affecting the intention of urban residents to prevent flooding in China

In the context of global warming and China’s disaster response patterns, it is critical to understand how to promote the effectiveness of household flood protection measures among the public. In this study, we developed a comprehensive theoretical framework based on protection motivation theory (PMT) to identify the main determinants that influence urban residents' intention to prepare for flooding. In addition to the fundamental factors in PMT, this framework also considered the influence of individual heterogeneity and social context. We selected urban residents in flood-prone areas of Henan Province as the study population and collected 857 valid questionnaires through an online survey. Firstly, the results showed that both threat perception and coping appraisal of flood risk are effective in increasing residents' intention to prevent. Secondly, negative risk response attitudes reduced people's intention to prepare. If people do not perceive preparedness actions as absolutely necessary, they will postpone or shift to public flood protection measures. In addition, analysis of affective pathways revealed that negative emotions were primarily influenced by perceptions of flood consequences and were not significantly related to perceptions of likelihood. The analysis of trust mechanisms showed that higher levels of trust reduced people's perceptions of flood risk thereby hindering their intention to prepare for floods. Finally, we found that the positive influence of social norms on preparedness intentions makes it appropriate to focus on the power of social mobilization. The findings will provide theoretical references for government departments to design further policy measures to improve integrated flood risk management in China.

Visual, delay and oculomotor timing and tuning in macaque dorsal pulvinar during instructed and free choice memory saccades

Causal perturbation studies suggest that the primate dorsal pulvinar (dPul) plays a crucial role in target selection and saccade planning, but many of its basic visuomotor neuronal properties are unclear. While some functional aspects of dPul and interconnected frontoparietal areas - such as ipsilesional choice bias after inactivation - are similar, it is not known if dPul neurons share oculomotor response properties of cortical circuitry. In particular, the delay period and choice-related activity have not been explored. Here we investigated visuomotor timing and tuning in macaque dPul during instructed and free choice memory saccades using electrophysiological recordings. Most units (80%) showed significant visual (16%), visuomotor (29%) or motor-related (35%) responses. Visual cue responses were mainly contralaterally-tuned; motor responses showed weak contralateral bias. Saccade-related responses (enhancement and suppression) were more common (64%) than cue-driven responses (45%). Pre-saccadic enhancement was less frequent (9-15% depending on the definition), and only few units exhibited classical visuomotor patterns such as a combination of cue and continuous delay period activity up to the saccade onset, or pre-saccadic ramping. Instead, activity was often suppressed during movement planning (30%) and execution phases (19%). Interestingly, most spatially-selective neurons did not encode the upcoming decision during the delay in free choice trials. Thus, in absence of a visible goal, the dorsal pulvinar has only a limited role in the prospective motor planning, with response patterns partially complementary to its frontoparietal cortical partners. Conversely, prevalent cue and post-saccadic responses imply that the dorsal pulvinar participates in integrating spatial goals with processing across saccades.

Distributed coding of duration in rodent prefrontal cortex during time reproduction

As we interact with the external world, we judge magnitudes from sensory information. The estimation of magnitudes has been characterized in primates, yet it is largely unexplored in non-primate species. Here we use time interval reproduction to study rodent behavior and its neural correlates in the context of magnitude estimation. We show that gerbils display primate-like magnitude estimation characteristics in time reproduction. Most prominently their behavioral responses show a systematic overestimation of small stimuli and an underestimation of large stimuli, often referred to as regression effect. We investigated the underlying neural mechanisms by recording from medial prefrontal cortex and show that the majority of neurons respond either during the measurement or the reproduction of a time interval. Cells that are active during both phases display distinct response patterns. We categorize the neural responses into multiple types and demonstrate that only populations with mixed responses can encode the bias of the regression effect. These results help unveil the organizing neural principles of time reproduction and perhaps magnitude estimation in general.

Do Cross-Latitude and Local Studies Give Similar Predictions of Phytoplankton Responses to Warming? An Analysis of Monitoring Data from 504 Danish Lakes

Cross-latitude studies on lakes have a potential to predict how global warming may cause major changes in phytoplankton biomass and composition, e.g., the development of favourable conditions for cyanobacteria dominance. However, results from these studies may be influenced by biogeographical factors, and the conclusions may, therefore, not hold when considering local response patterns. We used monthly monitoring data from 504 lakes in Denmark—a small and homogeneous geographical region—to establish empirical relationships between key phytoplankton groups and a set of explanatory variables including total phosphorus (TP), total nitrogen (TN), lake mean depth (DEP) and water temperature (TEMP). All variables had strong effects on phytoplankton biomass and composition, but their contributions varied over the seasons, with TEMP being particularly important in June–October. We found dominance of cyanobacteria in terms of biomass and also an increase in dinophytes biomass at higher TEMP, while diatoms and chlorophytes became less important. In May, however, the TEMP effect on total phytoplankton biomass was negative, likely reflecting intensified zooplankton grazing. Our results suggest that biogeographical effects are of minor importance for the response patterns of phytoplankton to temperature and that substantial concentration reductions of TN and TP are needed in eutrophic lakes to counteract the effect of the climate change-induced increase in TEMP.

Lying on the Dissection Table: Anatomizing Faked Responses

Research has shown that even experts cannot detect faking above chance, but recent studies have suggested that machine learning may help in this endeavor. However, faking differs between faking conditions, previous efforts have not taken these differences into account, and faking indices have yet to be integrated into such approaches. We reanalyzed seven data sets (N = 1,039) with various faking conditions (high and low scores, different constructs, naïve and informed faking, faking with and without practice, different measures [self-reports vs. implicit association tests; IATs]). We investigated the extent to which and how machine learning classifiers could detect faking under these conditions and compared different input data (response patterns, scores, faking indices) and different classifiers (logistic regression, random forest, XGBoost). We also explored the features that classifiers used for detection. Our results show that machine learning has the potential to detect faking, but detection success varies between conditions from chance levels to 100%. There were differences in detection (e.g., detecting low-score faking was better than detecting high-score faking). For self-reports, response patterns and scores were comparable with regard to faking detection, whereas for IATs, faking indices and response patterns were superior to scores. Logistic regression and random forest worked about equally well and outperformed XGBoost. In most cases, classifiers used more than one feature (faking occurred over different pathways), and the features varied in their relevance. Our research supports the assumption of different faking processes and explains why detecting faking is a complex endeavor.