In this study, we investigated the inactivation of wild-type vMyx-GFP (MYXV) using different methods. Assays were performed in vitro to test the following inactivation methods: heat, longwave UV only, longwave UV with psoralen (P + LWUV), and psoralen (P) only. In vitro assays demonstrated that the psoralen alone treatment did not cause any inactivation. These results showed that effective inactivation using psoralen was likely reliant on subsequent UV irradiation, creating a synergistic effect. Additionally, the UV and P + LWUV treatment demonstrated inactivation of MYXV, although by different mechanisms, as the UV-only treated virus demonstrated background infection, while P + LWUV treated virus did not. In mice, P + LWUV and UV treatment of MYXV demonstrated to be effective inactivation methods and likely preserved the antigenic epitopes of MYXV, allowing for the production of neutralizing antibodies in mice. More research is recommended on the heat treatment of MYXV as neutralizing antibodies were not observed, possibly due to the treatment denaturing antigenic epitopes or needing more booster injections to reach the threshold antibody concentration for protection. Furthermore, we demonstrated that the intraperitoneal (IP) injection of inactivated MYXV was superior to the subcutaneous injection in eliciting a strong immune response. The increased neutralizing antibodies observed after IP injection could be due to the advantage that the IP route has of reaching lymphoid tissue faster.

In this study, we investigated the inactivation of wild-type vMyx-GFP (MYXV) using different methods. Assays were performed in vitro to test the following inactivation methods: heat, longwave UV only, longwave UV with psoralen (P + LWUV), and psoralen (P) only. In vitro assays demonstrated that the psoralen alone treatment did not cause any inactivation. These results showed that effective inactivation using psoralen was likely reliant on subsequent UV irradiation, creating a synergistic effect. Additionally, the UV and P + LWUV treatments demonstrated inactivation of MYXV, although by different mechanisms, as the UV-only treated virus demonstrated background infection, while P + LWUV treated virus did not. In mice, P + LWUV and UV treatment of MYXV demonstrated effective inactivation methods and likely preserved the antigenic epitopes of MYXV, allowing for the production of neutralizing antibodies in mice. More research may need to be conducted on the heat treatment of MYXV as neutralizing antibodies were not observed, possibly due to the treatment denaturing antigenic epitopes or needing more booster injections to reach the threshold antibody concentration for protection. Furthermore, we demonstrated that the intraperitoneal (IP) injection of inactivated MYXV was superior to the subcutaneous injection in eliciting a strong immune response. The increased neutralizing antibodies observed after IP injection could be due to the advantage that the IP route has of reaching lymphoid tissue faster.

Critical flicker fusion thresholds (CFFTs) describe when quick amplitude modulations of a light source become undetectable as the frequency of the modulation increases and are thought to underlie a number of visual processing skills, including reading. Here, we compare the impact of two vision-training approaches, one involving contrast sensitivity training and the other directional dot-motion training, compared to an active control group trained on Sudoku. The three training paradigms were compared on their effectiveness for altering CFFT. Directional dot-motion and contrast sensitivity training resulted in significant improvement in CFFT, while the Sudoku group did not yield significant improvement. This finding indicates that dot-motion and contrast sensitivity training similarly transfer to effect changes in CFFT. The results, combined with prior research linking CFFT to high-order cognitive processes such as reading ability, and studies showing positive impact of both dot-motion and contrast sensitivity training in reading, provide a possible mechanistic link of how these different training approaches impact reading abilities.

Although autism spectrum disorder (ASD) is a serious lifelong condition, its underlying neural mechanism remains unclear. Recently, neuroimaging-based classifiers for ASD and typically developed (TD) individuals were developed to identify the abnormality of functional connections (FCs). Due to over-fitting and interferential effects of varying measurement conditions and demographic distributions, no classifiers have been strictly validated for independent cohorts. Here we overcome these difficulties by developing a novel machine-learning algorithm that identifies a small number of FCs that separates ASD versus TD. The classifier achieves high accuracy for a Japanese discovery cohort and demonstrates a remarkable degree of generalization for two independent validation cohorts in the USA and Japan. The developed ASD classifier does not distinguish individuals with major depressive disorder and attention-deficit hyperactivity disorder from their controls but moderately distinguishes patients with schizophrenia from their controls. The results leave open the viable possibility of exploring neuroimaging-based dimensions quantifying the multiple-disorder spectrum.