Examining the relationship between physical literacy and resilience against COVID-19-induced negative mental states in Chinese adolescents.

Research indicates that COVID-19 has had adverse effects on the mental health of adolescents, exacerbating their negative psychological states. The purpose of this study is to investigate the impact of Physical Literacy (PL) on Negative Mental State caused by COVID-19 (NMSC) and identify potential factors related to NMSC and PL in Chinese adolescents. This cross-sectional study involved a total of 729 Chinese high school students with an average age of 16.2 ± 1.1 years. Participants' demographic data, PL data, and NMSC data were collected. PL and NMSC were measured using the self-reported Portuguese Physical Literacy Assessment Questionnaire (PPLA-Q), the Stress and Anxiety to Viral Epidemics-6 (SAVE-6), and the Fear of COVID-19 Scale (FCV-19). Adolescents in the current study demonstrated higher levels of NMSC and lower PL, with average scores of 3.45 and 2.26, respectively (on a scale of 5). Through multiple linear regression analysis, Motivation (MO), Confidence (CO), Emotional Regulation (ER), and Physical Regulation (PR) were identified as factors influencing NMSC in adolescents. The study findings contribute to providing guidance for actions aimed at alleviating NMSC among adolescents.

Identification of hub genes and potential molecular mechanisms related to drug sensitivity in acute myeloid leukemia based on machine learning.

Background: Acute myeloid leukemia (AML) is the most common form of leukemia among adults and is characterized by uncontrolled proliferation and clonal expansion of hematopoietic cells. There has been a significant improvement in the treatment of younger patients, however, prognosis in the elderly AML patients remains poor. Methods: We used computational methods and machine learning (ML) techniques to identify and explore the differential high-risk genes (DHRGs) in AML. The DHRGs were explored through multiple in silico approaches including genomic and functional analysis, survival analysis, immune infiltration, miRNA co-expression and stemness features analyses to reveal their prognostic importance in AML. Furthermore, using different ML algorithms, prognostic models were constructed and validated using the DHRGs. At the end molecular docking studies were performed to identify potential drug candidates targeting the selected DHRGs. Results: We identified a total of 80 DHRGs by comparing the differentially expressed genes derived between AML patients and normal controls and high-risk AML genes identified by Cox regression. Genetic and epigenetic alteration analyses of the DHRGs revealed a significant association of their copy number variations and methylation status with overall survival (OS) of AML patients. Out of the 137 models constructed using different ML algorithms, the combination of Ridge and plsRcox maintained the highest mean C-index and was used to build the final model. When AML patients were classified into low- and high-risk groups based on DHRGs, the low-risk group had significantly longer OS in the AML training and validation cohorts. Furthermore, immune infiltration, miRNA coexpression, stemness feature and hallmark pathway analyses revealed significant differences in the prognosis of the low- and high-risk AML groups. Drug sensitivity and molecular docking studies revealed top 5 drugs, including carboplatin and austocystin-D that may significantly affect the DHRGs in AML. Conclusion: The findings from the current study identified a set of high-risk genes that may be used as prognostic and therapeutic markers for AML patients. In addition, significant use of the ML algorithms in constructing and validating the prognostic models in AML was demonstrated. Although our study used extensive bioinformatics and machine learning methods to identify the hub genes in AML, their experimental validations using knock-out/-in methods would strengthen our findings.

The impact of COVID-19 on students' anxiety and its clarification: a systematic review.

Introduction: Since the emergence of COVID-19 in 2019, every country in the world has been affected to varying degrees. Long-term psychological pressure and anxiety will inevitably damage the physical and mental health of students. This study aimed to examine the effects of the COVID-19 pandemic on students who experienced stress and anxiety and to clarify which intervention was more effective. Methods: A comprehensive literature search was conducted between January 2020 and December 2022 using online databases such as PubMed, Web of Science, Scopus, and Google Scholar by using the following keywords in combination: "COVID-19," "stress," "anxiety," "depression," and "intervention." The retrieved literature was screened and reviewed. Results: A total of 2,924 articles were retrieved using subject and keyword searches. After screening through the titles and abstracts, 18 related studies were retained. Their review revealed that: (1) most studies did not use medication to control stress and anxiety; (2) the standard methods used to reduce stress and anxiety were religion, psychological counseling, learning more about COVID-19 through the media, online mindfulness courses, improving sleep quality, and physical exercise; (3) the most effective interventions were physical activity and raising awareness about COVID-19 through the media and online mindfulness programs. However, some studies show that physical activity cannot directly relieve psychological stress and anxiety. Conclusion: Limited interventions are effective, but learning more about COVID-19 and using active coping strategies may help reduce stress and anxiety. The implications of COVID-19 are also discussed.

Functional characterization of common carp (Cyprinus carpio) AHRs: Subform-specific sensitivity to dioxin and interspecies differences.

Dioxins are widely known to bioaccumulate in the body and produce a wide spectrum of toxic effects on both humans and wildlife. In addition, some novel sorts of compounds that were similar in structure and effect were gradually identified and termed dioxin-like compounds (DLCs). The toxicity of dioxins as well as DLCs is predominantly mediated by the dioxin receptor (aryl hydrocarbon receptor, AHR) in animals, which is usually differentially expressed and functionally distinct (especially the sensitivity to dioxins) among species, possibly resulting in species-specific variations in the toxicity of dioxins. Therefore, detailed functional exploration of the AHRs of a given species, such as the common carp (which is a vital wild and commercial species with a broad geological distribution) in the current study, will enable a comprehensive ecotoxicity evaluation. Through genome survey and phylogenetic analysis, we identified three AHRs (AHR1a, AHR1b, and AHR2) and two ARNTs (ARNT1 and ARNT2). AHR2 was observed to have greater expression abundance in the gill and brain, and may serve as the predominant subform. Those AHRs and ARNTs are functional, and the AHRs can be efficiently transactivated by the classical dioxin congener 2,3,7,8-tetrachlorodibenzo-p-dioxin (TCDD). We individually determined the EC50 values of AHR1a (0.41 ± 0.24 nM), AHR1b (12.80 ± 3.28 nM), and AHR2 (0.64 ± 0.49 nM), and found that: 1) The AHR sensitivities of common carp and zebrafish (phylogenetically close species) are relatively similar. AHR1a and the predominant form AHR2 have greater sensitivity to TCDD. 2) ARNT1 and ARNT2 do not produce different sensitivities, but with distinct induction fold, of a given AHR transactivation when cooperating as the partner; 3) Distinct AHR subforms of the same or distinct species can have even one or two orders of magnitude differences in sensitivity. In summary, the current study will add to the knowledge of AHR biology and help improve ecotoxicology research on dioxins and DLCs.