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Depressive symptoms and aggression often co-occur, and previous studies have found different bidirectional links between depressive symptoms and aggression, suggesting inconsistent developmental cascades. Moreover, it is unclear whether different functions of aggression are differentially associated with depressive symptoms over time. The present study examined the longitudinal associations of reactive and proactive aggression with depressive symptoms in early adolescence. Adolescents (n = 942, 50.7% girls; mean age = 12.54 years, SD = 0.42) were surveyed annually over three years (2019-2021). Random-intercept cross-lagged panel models were used to disentangle between- and within-person effects. The results showed moderate between-person associations of depressive symptoms with the two aggressive functions. And depressive symptoms were more highly associated with reactive aggression than with proactive aggression. However, the state-level bidirectional cross-lagged associations between reactive and proactive aggression and depressive symptoms were not significant. This study highlights the stable trait-like association between depressive symptoms and reactive aggression, and the absence of state-level bidirectional cross-lagged associations challenges previous developmental cascades in adolescents.
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Comportamento do Adolescente , Agressão , Feminino , Humanos , Adolescente , Criança , Masculino , Depressão , Relações Interpessoais , Estudos LongitudinaisRESUMO
Depressive symptoms and aggression frequently occur together, and this co-occurrence may result in more severe developmental problems. However, it is unclear if there are distinct patterns of co-occurrence. This study investigated the co-occurrence patterns of depressive symptoms and aggression, and examined their stability and demographic characteristics. A total of 1010 Chinese adolescents (50.6% girls; mean age at T1 = 12.54 years, SD = 0.42) participated in annual surveys over three years (2019-2021). Three different patterns of co-occurrence were found except for the normal group: depression-dominant co-occurrence (13.6%), aggression-dominant co-occurrence (3.2%), and moderate co-occurrence (6.0%) (T1). In these co-occurrence patterns, adolescents classified as aggression-dominant co-occurrence exhibited the most instability and frequent changes, while adolescents classified as depression-dominant co-occurrence exhibited the most stability. Boys or younger adolescents were more likely to exhibit the aggression-dominant co-occurrence, while girls or older adolescents were more likely to exhibit the depression-dominant co-occurrence. The findings indicate that the co-occurrence patterns observed are distinct and are dominated by aggression or depression, which implies the need for targeted intervention practices.
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Previous work has proposed two potential benefits of retrospective attention on working memory (WM): target strengthening and non-target inhibition. It remains unknown which hypothesis contributes to the improved WM performance, yet the neural mechanisms responsible for this attentional benefit are unclear. Here, we recorded electroencephalography (EEG) signals while 33 participants performed a retrospective-cue WM task. Multivariate pattern classification analysis revealed that only representations of target features were enhanced by valid retrospective attention during retention, supporting the target strengthening hypothesis. Further univariate analysis found that mid-frontal theta inter-trial phase coherence (ITPC) and ERP components were modulated by valid retrospective attention and correlated with individual differences and moment-to-moment fluctuations on behavioral outcomes, suggesting that both trait- and state-level variability in attentional preparatory processes influence goal-directed behavior. Furthermore, task-irrelevant target spatial location could be decoded from EEG signals, indicating that enhanced spatial binding of target representation is vital to high WM precision. Importantly, frontoparietal theta-alpha phase-amplitude coupling was increased by valid retrospective attention and predicted the reduced random guessing rates. This long-range connection supported top-down information flow in the engagement of frontoparietal networks, which might organize attentional states to integrate target features. Altogether, these results provide neurophysiological bases that retrospective attention improves WM precision by enhancing flexible target representation and emphasize the critical role of the frontoparietal attentional network in the control of WM representations.
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Atenção , Memória de Curto Prazo , Humanos , Memória de Curto Prazo/fisiologia , Estudos Retrospectivos , Atenção/fisiologia , Eletroencefalografia , CogniçãoRESUMO
Surveillance of recombinant enterovirus 71 (EV71) and subgenotype replacement is vital for preventing and controlling hand, foot, and mouth disease (HFMD) outbreaks. Despite this, data on recombinant variants and phylogeny of circulating EV71 strains in mainland China are limited. In this study, recombinant variants of EV71 were identified in mainland China from 2009 to 2018. Phylogenetic analysis indicated that except for individual strains (CQ2014-86/CQ/CHN/2014 and EV71/Xiamen/2009 (B5)), almost all of the EV71 strains in mainland China belonged to the subgenotype C4a. Analysing complete genome sequences of 196 EV71 isolates, 3 intertypic recombination strains (VR1432, 30-2/2015/BJ, and Guangdong-2009) and 5 intratypic recombination strains (EV71/P1034/2013, VR1432, Henan-ZMD/CHN/2012, Hubei-WH/CHN/2012, and EV71/P868/2013/China) were identified among naturally circulating EV71. The breakpoints of these recombinant strains were located within the P1, P2, and P3 encoding regions. Notably, a double recombinant (VR1432) resulting from recombination between EV71 subgenotype C4a and C4b strain SHZH98 and a CA8 strain Donovan was identified. This study reports these specific intertypic and intratypic recombination events for the first time highlighting the importance of genetic recombination in the emergence of new enterovirus variants.
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Enterovirus Humano A/genética , Infecções por Enterovirus/virologia , Genoma Viral , China , Enterovirus Humano A/classificação , Enterovirus Humano A/isolamento & purificação , Evolução Molecular , Humanos , Recombinação GenéticaRESUMO
Objective.Accurate detection of electrocardiogram (ECG) waveforms is crucial for computer-aided diagnosis of cardiac abnormalities. This study introduces SEResUTer, an enhanced deep learning model designed for ECG delineation and atrial fibrillation (AF) detection.Approach. Built upon a U-Net architecture, SEResUTer incorporates ResNet modules and Transformer encoders to replace convolution blocks, resulting in improved optimization and encoding capabilities. A novel masking strategy is proposed to handle incomplete expert annotations. The model is trained on the QT database (QTDB) and evaluated on the Lobachevsky University Electrocardiography Database (LUDB) to assess its generalization performance. Additionally, the model's scope is extended to AF detection using the the China Physiological Signal Challenge 2021 (CPSC2021) and the China Physiological Signal Challenge 2018 (CPSC2018) datasets.Main results.The proposed model surpasses existing traditional and deep learning approaches in ECG waveform delineation on the QTDB. It achieves remarkable average F1 scores of 99.14%, 98.48%, and 98.46% for P wave, QRS wave, and T wave delineation, respectively. Moreover, the model demonstrates exceptional generalization ability on the LUDB, achieving average SE, positive prediction rate, and F1 scores of 99.05%, 94.59%, and 94.62%, respectively. By analyzing RR interval differences and the existence of P waves, our method achieves AF identification with 99.20% accuracy on the CPSC2021 test set and demonstrates strong generalization on CPSC2018 dataset.Significance.The proposed approach enables highly accurate ECG waveform delineation and AF detection, facilitating automated analysis of large-scale ECG recordings and improving the diagnosis of cardiac abnormalities.
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Fibrilação Atrial , Aprendizado Profundo , Humanos , Fibrilação Atrial/diagnóstico , Algoritmos , Processamento de Sinais Assistido por Computador , Eletrocardiografia/métodosRESUMO
Introduction: Working memory (WM) is a well-known fundamental ability related to various high-level cognitive functions, such as executive functioning, decision-making, and problem-solving. Although previous studies have posited that chronic exercise may improve cognitive functions, its underlying neural mechanisms and whether habitual exercise is associated with individual WM ability remain unclear. Methods: In the current study, 36 participants reported their habitual physical activity through the International Physical Activity Questionnaire (IPAQ). In addition to assessments of intelligence quotient (IQ), WM storage capacity (K score), and visuomotor coordination capacity, electroencephalogram (EEG) signals were recorded while the participants performed a WM precision task fusing conventional visual and motor retrospective cue (retro-cue) WM tasks. Results: We found that greater amounts of and higher frequencies of vigorous-intensity exercise were highly correlated with smaller recall errors in the WM precision task. Contralateral delay activity (CDA), a well-known WM-related event-related potential (ERP) component evoked by the valid retro-cue, predicted individual behavioral recall error. Participants who met the medium or high level of IPAQ criteria (the regular exercise group) showed smaller behavioral recall error and larger CDA than participants who did not meet the criteria (the irregular exercise group). The two groups did not differ in other assessments, such as IQ, WM storage capacity, and visuomotor coordination ability. Discussion: Habitual exercise was specifically correlated with individual differences in WM precision, rather than IQ, WM storage capacity, and visuomotor coordination ability, suggesting potential mechanisms of how modulations of chronic exercise improve cognition through visual and/or motor WM precision.
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Introduction: Few studies have simultaneously focused on the effects of marital conflict and marital intimacy on adolescent development, and little is known about the role of sibling relationships. Thus, this study examined the association between marital relationships and adolescent behavioral problems, including depressive symptoms and aggressive behavior. At the same time, we explored the mediating role of sibling hostility and sibling affection and the moderating effect of birth order in multichild families in China. Methods: Participants included 842 adolescents (Mage = 12.60, 46.2% boys) from Henan Province. Marital relationship, sibling relationship, birth order, depressive symptoms and aggressive behavior were assessed by a self-administered questionnaire. SEM was then used to examine the role of sibling relationships and birth order in the association between marital relationship and adolescent behavioral problems. Results: Our results showed that marital intimacy was negatively correlated with depressive symptoms and aggressive behavior, while marital conflict was positively correlated with them. Marital intimacy was associated with depressive symptoms and aggressive behavior through both sibling hostility and sibling affection. Marital conflict was indirectly associated with depressive symptoms and aggressive behavior through sibling hostility. In addition, the first-born adolescents were more sensitive to marital intimacy. Discussion: Given that the occurrence of adolescent behavioral problems is more common in contemporary society, our findings suggest that establishing a more intimate and warmer family atmosphere and promoting positive interactions between siblings may help control adolescent mental health problems.
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Identification of new recombinant HCV strains and positive selection sites are crucially important for the formulation of virus intervention measures. However, little is known about the recombinant variant information and positive selection sites of circulating HCV strains in mainland China. In this study, we systematically identified recombinant variants and positive selection sites of HCV in mainland China during the 2010-2019. Phylogenetic analysis results indicated that HCV-6 was one of the dominant genotypes in mainland China during 2010-2019, whereas genotypes 7 and 8 were not detected. Recombinant analysis based on 102 full-length genome sequences of Chinese epidemic strains of HCV identified four intra-genotypic recombinants (strains WYHCV286, GB28, GZ2983, and HCV156) and one inter-genotypic recombinant (strain HH075). Specifically, two breakpoints in the 5' UTR of two recombinants, the strains HH075 and WYHCV286, are rather unusual and has not been described before. Further, selection pressure analyses revealed five positive selective sites, which were located in the core, E2, and NS5B protein. Notably, positive selective sites in NS5B and core protein may be partially responsible for the drug resistance and immune evasion. To the best of our knowledge, this study firstly reported five specific intertypic and intratypic recombinants of Chinese epidemic strains of HCV, which highlight their significance for anti-HCV treatment and vaccine development.
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Hepacivirus , Hepatite C , Regiões 5' não Traduzidas , China/epidemiologia , Genótipo , Hepacivirus/genética , Humanos , Filogenia , Análise de Sequência de DNARESUMO
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is an emerging and highly pathogenic coronavirus that causes coronavirus disease (COVID-19), and might even lead to death. Circular RNAs (circRNAs), a new type of RNAs, are implicated in viral pathogenesis and host immune responses. However, their dynamic expression patterns and functions during SARS-CoV-2 infection remain to be unclear. We herein performed genome-wide dynamic analysis of circRNAs in human lung epithelial cells infected with SARS-CoV-2 at four time points. A total of 6118 circRNAs were identified at different genomic locations, including 5641 known and 477 novel circRNAs. Notably, a total of 42 circRNAs were significantly dysregulated, wherein 17 were up-regulated and 25 were down-regulated following infection at multiple phases. The gene ontology and KEGG enrichment analyses revealed that the parental genes of circRNAs were mainly involved in immune and inflammatory responses. Further, the RNA binding protein (RBP) prediction analysis indicated that the dysregulated circRNAs could regulate mRNA stability, immunity, cell death by binding specific proteins. Additionally, the circRNA-miRNA-gene network analysis showed that circRNAs indirectly regulated gene expression by absorbing their targeted miRNAs. Collectively, these results shed light on the roles of circRNAs in virus-host interactions, facilitating future studies on SARS-CoV-2 infection and pathogenesis.
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COVID-19/genética , Interações Hospedeiro-Patógeno/genética , Pulmão/citologia , RNA Circular/genética , COVID-19/patologia , Células Epiteliais , Regulação da Expressão Gênica , Ontologia Genética , Humanos , Pulmão/virologia , MicroRNAs/genética , Proteínas de Ligação a RNA/genética , Reprodutibilidade dos TestesRESUMO
School socioeconomic status (SES) is studied primarily as a variable to explain academic achievement; however, few previous studies have investigated how SES can influence individual student's academic achievement. The present study used a national representative sample of 10,784 grade 7 to 9 students (53.2% boys and 46.8% girls) in mainland China to examine the links between school SES and students' math and Chinese achievements, including the math and Chinese teacher-student relationships as mediating factors. The parents provided family socioeconomic information and the students reported on their teacher-student relationships. Achievements in math and Chinese were assessed using standardized tests. Multilevel mediation analyses revealed that school SES was positively related to students' math and Chinese achievements. Moreover, the link between school SES and students' math achievement was partially mediated by students' perception of the math teacher-student relationship. The Chinese teacher-student relationship had no mediating effect. This study indicated that school SES can influence individual student's academic achievement via their perception of teacher-student relationship. The poverty and lack of resources is obvious, yet low SES schools could make efforts in improving teacher-student relationship's quality to promote students' academic performance. Meanwhile, low SES schools should receive more attention from policymakers to improve teaching quality and school climate. Furthermore, the study findings could be used for future research on the gap between low and high SES schools.