A quadruple recombination event discovered in hepatitis E virus.

Hepatitis E virus (HEV) can infect humans, pigs, and many other animals, but recombination in HEV has rarely been reported. In the present study, phylogenetic and recombination analysis was performed on 557 complete HEV genome sequences from the GenBank database. A potentially significant quadruple recombination event was identified by recombination detection analysis. The recombinant progeny virus, HEV_32_Manchester_301214, was produced by inter-genotype recombination between the major parent HEPAC-44 and the minor parent HE-JA15-1335. HEV_32_Manchester_301214 and HEPAC-44 belong to genotype 3, while HE-JA15-1335 belongs to genotype 1, and these three strains were all isolated from humans. Three breakpoints of the four recombination events occurred in the ORF2 region, while another occurred in the ORF1 region. This quadruple recombination event was confirmed by phylogenetic analysis. The genotype, host, and recombination regions of the three strains were analyzed, and the analysis results provide valuable information for future research on HEV diversity.

Risk prediction models based on hematological/body parameters for chemotherapy-induced adverse effects in Chinese colorectal cancer patients.

PURPOSE: To determine risk factors and develop novel prediction models for chemotherapy-induced adverse effects (CIAEs) in Chinese colorectal cancer (CRC) patients receiving capecitabine. METHODS: A total of 233 Chinese CRC patients receiving post-operative chemotherapy with capecitabine were randomly divided into a training set (70%) and a validation set (30%). CIAE-related hematological/body parameters were screened by univariate logistic regression. Based on a set of factors selected from LASSO (least absolute shrinkage and selection operator) logistic regression, stepwise multivariate logistic regression was applied to develop prediction models. Area under the receiver operating characteristic (ROC) curve and Hosmer-Lemeshow (HL) test were used to evaluate the discriminatory ability and the goodness of fit of each model. RESULTS: In total, 35 variables were identified to be associated with CIAEs in univariate analysis. Developed multivariable models had AUCs (area under curve) ranging from 0.625 to 0.888 and 0.428 to 0.760 in the training and validation set, respectively. The grade ≥ 1 anemia multivariable model achieved the best discriminatory ability with AUC of 0.760 (95%CI: 0.609-0.912) and good calibration with HL P value of 0.450. Then, a nomogram was constructed to predict grade ≥ 1 anemia, which included variables of age, pre-operative hemoglobin count, and pre-operative albumin count, with C-indexes of 0.775 and 0.806 in the training and validation set, respectively. CONCLUSIONS: This study identified valuable hematological/body parameters related to CIAEs. A nomogram based on the multivariable model including three hematological/body predictors can accurately predict grade ≥ 1 anemia, facilitating clinicians to implement personalized medicine early for Chinese CRC patients receiving post-operative chemotherapy for better safety treatment. Trial registration This study was registered as a clinical trial at www.clinicaltrials.gov (NCT03030508).

A meta-analysis of salivary cortisol responses in the Trier Social Stress Test to evaluate the effects of speech topics, sex, and sample size.

Background: The Trier Social Stress Test (TSST) is one of the most widely used laboratory-based psychological stress paradigms. Previous studies have shown that males have a more robust cortisol response than females in the TSST. However, the effects of sample size, speech topic, and interaction between sex and speech topic on cortisol responses in TSST remain elusive. Our goal was to evaluate these influencing factors in the TSST using salivary cortisol reactivity as an objective measure. Methods: We collected TSST research articles in Web of Science, PubMed, PsycNet, and CNKI. We only included TSST studies that had measures of salivary cortisol both before and after task completion. A total of 65 articles involving 76 sub-studies met our inclusion criteria, with a total of 5171 participants (2040 females and 3131 males). The effects of sample sizes were assessed to determine if results of studies with various sample sizes were stable. We performed multivariate meta-regression to determine the effects of speech topic, sex, and the interaction between sex and speech topic after controlling their confounding effects. Subgroup analysis of sex was conducted to detect inter-group differences. We further evaluated the baseline and peak salivary cortisol concentrations for males and females independently to detect the sources of sex differences. Results: The average effect size (i.e., Cohen's d) of salivary cortisol reactivity was 0.93, 95% CI = 0.82 to 1.04, p < .001. The small studies produced larger variations in the reported effect sizes than the large-sample studies (r = -0.24, p = .041). A sample size of 40 was necessary to provide sufficient statistical power to detect significant changes of salivary cortisol in TSST. Speech topics, sex, and sex-speech topic interaction could predict salivary cortisol responses (F(df1 = 3, df2 = 72) = 11.98, p < .001) and explained 42.68% of the total experimental variation. Sex was the only significant contributing factor (p < .00025) in the regression model. Salivary cortisol responses in males were significantly higher than in females (Q B  = 42.89, df = 1, p < .001). Further, significant differences between males and females were detected at baseline (t = -2.03, df = 74, p = .046) and peak (t = -4.96, df = 74, p < .001). Conclusions: The TSST effectively induces stress response as measured by salivary cortisol change. Forty samples is the minimum sample size for detecting the robust salivary cortisol responses. We confirmed that males have more robust salivary cortisol reactivity than females in TSST. Speech topics that we tested did not significantly contribute to differences in salivary cortisol responses. No significant interaction between sex and speech topic on salivary cortisol responses was detected.

Atypical gaze patterns to facial feature areas in autism spectrum disorders reveal age and culture effects: A meta-analysis of eye-tracking studies.

Children and adults with autism spectrum disorder (ASD) often present with atypical gaze patterns to others' faces, a finding substantiated throughout the literature. Yet, a quantification of atypical gaze patterns to different facial regions (e.g., eyes versus mouth) in ASD remains controversial. Also few study has investigated how age and culture impacted the pattern of gaze abnormalities in ASD. This research therefore conducted a meta-analysis of eye-tracking studies to evaluate age and culture effect on atypical gaze patterns of face processing in ASD. A total of 75 articles (91 studies) and 4209 individuals (ASD: 2027; controls: 2182) across all age ranges (i.e., childhood through to adulthood) from both Eastern and Western cultures were included in this meta-analysis. Individuals with ASD yielded shorter fixation durations to the eyes than individuals without ASD. Group differences in the time spent fixating on the eyes were not modulated by age, but affected by culture. Effect size in the eastern culture was larger than that in the western culture. In contrast, group differences on time spent looking at the mouth were not significant, but changed with age and modulated by culture. Relative to the neurotypical controls, Western individuals with ASD spent more time looking at the mouth from school age, whereas Eastern individuals with ASD did not gaze longer on mouth until adulthood. These results add to the body of evidence supporting atypical gaze behaviors to eyes in ASD and provide new insights into a potential mouth compensation strategy that develops with age in ASD. LAY SUMMARY: Individuals with autism spectrum disorder (ASD) often show atypical gaze patterns when looking at others' faces compared to neurotypical individuals. This paper examines the role of age and culture on pattern of gaze abnormalities in individuals with ASD. Results show that reduction of gaze on eyes in ASD is stable across all ages and cultures, while increase of gaze on mouth emerges as individuals with ASD get older. The findings provide a developmental insight to the gaze patterns on the autism spectrum across culture.