Yanghe Decoction promotes ferroptosis through PPARγ-dependent autophagy to inhibit the malignant progression of triple-negative breast cancer.

Triple-negative breast cancer (TNBC) is a heterogeneous subtype of breast cancer that displays highly aggressive with poor prognosis. Yanghe Decoction (YHD) has been used in the treatment of breast cancer for many years. We aimed to explore the effects of YHD on the malignant phenotypes of MDA-MB-231 cells and the potential mechanism related to PPARγ, autophagy and ferroptosis. The serum of rat containing different concentrations of YHD were collected to culture MDA-MB-231 cells. Cell viability and proliferation were assessed by the CCK-8 assay and EDU staining. Wound healing- and transwell assays were used to detect the capacities of MDA-MB-231 cell migration and invasion. Additionally, the levels of lipid peroxidation, Fe2+ and the expression of ferroptosis-related proteins were evaluated. The expression of PPARγ and autophagy-related proteins was assessed using immunofluorescence staining or western blot assay. Then, the PPARγ inhibitor (GW9662), autophagy inhibitor (3-MA) and autophagy inducer (rapamycin; Rap) were used to further study the potential mechanism of YHD on TNBC. Results indicated that contained-YHD serum significantly decreased the viability, proliferation, migration and invasion of TNBC cells. Moreover, YHD promoted lipid peroxidation level, elevated Fe2+ content and downregulated GPX4, SLC7A11 and SLC3A2 expression. Besides, autophagy was induced and PPARγ was upregulated by YHD in MDA-MB-231 cells. Furthermore, GW9662 alleviated the impacts of YHD on autophagy of MDA-MB-231 cells. Rap reversed the effects of GW9662 on lipid peroxidation, ferroptosis, proliferation, migration and invasion of MDA-MB-231 cells. 3-MA had the similar effects to GW9662. Collectively, YHD suppressed the malignant progression of MDA-MB-231 cells by inducing ferroptosis through PPARγ-dependent autophagy.

Temporal network of experience sampling methodology identifies sleep disturbance as a central symptom in generalized anxiety disorder.

BACKGROUND: A temporal network of generalized anxiety disorder (GAD) symptoms could provide valuable understanding of the occurrence and maintenance of GAD. We aim to obtain an exploratory conceptualization of temporal GAD network and identify the central symptom. METHODS: A sample of participants (n = 115) with elevated GAD-7 scores (Generalized Anxiety Disorder 7-Item Questionnaire [GAD-7] ≥ 10) participated in an online daily diary study in which they reported their GAD symptoms based on DSM-5 diagnostic criteria (eight symptoms in total) for 50 consecutive days. We used a multilevel VAR model to obtain the temporal network. RESULTS: In temporal network, a lot of lagged relationships exist among GAD symptoms and these lagged relationships are all positive. All symptoms have autocorrelations and there are also some interesting feedback loops in temporal network. Sleep disturbance has the highest Out-strength centrality. CONCLUSIONS: This study indicates how GAD symptoms interact with each other and strengthen themselves over time, and particularly highlights the relationships between sleep disturbance and other GAD symptoms. Sleep disturbance may play an important role in the dynamic development and maintenance process of GAD. The present study may develop the knowledge of the theoretical model, diagnosis, prevention and intervention of GAD from a temporal symptoms network perspective.

Analysis of factors influencing medical students' learning engagement and its implications for teaching work-- a network analysis perspective.

PURPOSE: Higher medical education has always been a major project in the fields of education and health, and therefore, the quality of education has received much attention. Learning engagement has emerged as a significant indicator of teaching quality, attracting considerable research attention. This study aims to explore the relationship between medical students' learning engagement and their sense of school belonging, professional identity, and academic self-efficacy. METHODS: We conducted an online survey using convenience sampling method with 311 medical students. We employed Revised version of the Utrech Work Engagement Scale-Student (UWES-S), Chinese version of the Psychological Sense of School Membership (PSSM) scale, Academic Self-Efficacy Scale, and the questionnaire of college students' speciality identity for evaluation. Network analysis was used to analyze the relationships among these factors. RESULTS: Medical students' overall performance in school showed a positive trend. However, there is still room for improvement. In the network structure of learning engagement and its influencing factors, the "emotional" aspect of professional identity (EI = 1.11) was considered to be an important node with strong centrality. And "academic competence self-efficacy" aspect of academic self-efficacy (BEI = 0.72) was considered an important node with strong transitivity. CONCLUSION: Deepening medical students' emotional identification with their profession and enhancing their confidence in their academic abilities may improve their learning engagement and educational quality.

A network analysis bridging the gap between the big five personality traits and burnout among medical staff.

BACKGROUND: Burnout is a common issue among medical professionals, and one of the well-studied predisposing factors is the Big Five personality traits. However, no studies have explored the relationships between these traits and burnout from a trait-to-component perspective. To understand the specific connections between each Big Five trait and burnout components, as well as the bridging effects of each trait on burnout, we employed network analysis. METHODS: A cluster sampling method was used to select a total of 420 Chinese medical personnel. The 15-item Chinese Big Five Personality Inventory-15 (CBF-PI-15) assessed the Big Five personality traits, while the 15-item Maslach Burnout Inventory-General Survey (MBI-GS) assessed burnout components. Network analysis was used to estimate network structure of Big Five personality traits and burnout components and calculate the bridge expected influence. RESULTS: The study revealed distinct and clear relationships between the Big Five personality traits and burnout components. For instance, Neuroticism was positively related to Doubt significance and Worthwhile, while Conscientiousness was negatively related to Accomplish all tasks. Among the Big Five traits, Neuroticism displayed the highest positive bridge expected influence, while Conscientiousness displayed the highest negative bridge expected influence. CONCLUSIONS: The network model provides a means to investigate the connections between the Big Five personality traits and burnout components among medical professionals. This study offers new avenues for thought and potential targets for burnout prevention and treatment in medical personnel, which can be further explored and tested in clinical settings.

An investigation of the relationships between suicidal ideation, psychache, and meaning in life using network analysis.

BACKGROUND: Previous studies have investigated the relationships between psychache or meaning in life and suicidal ideation based on sum score of corresponding scale. However, this practice has hampered the fine-grained understanding of their relationships. This network analysis study aimed to conduct a dimension-level analysis of these constructs and the relationships among them in a joint framework, and identify potential intervention targets to address suicidal ideation. METHODS: Suicidal ideation, psychache, and meaning in life were measured using self-rating scales among 738 adults. A network of suicidal ideation, psychache, and meaning in life was constructed to investigate the connections between dimensions and calculate the expected influence and bridge expected influence of each node. RESULTS: "Psychache" was positively linked to "sleep" and "despair", while "presence of meaning in life" had negative associations with "psychache", "despair", and "pessimism". The most important central nodes were "sleep" and "despair", and the critical bridge nodes were "presence of meaning in life" and "psychache". CONCLUSION: These preliminary findings uncover the pathological pathways underlying the relationships between psychache, meaning in life, and suicidal ideation. The central nodes and bridge nodes identified may be potential targets for effectively preventing and intervening against the development and maintenance of suicidal ideation.

LF-rTMS ameliorates social dysfunction of FMR1-/- mice via modulating Akt/GSK-3ß signaling.

Autism spectrum disorders (ASD) are a group of neurological disorders which affect approximately 1% of children around the world. Social dysfunction is one of the two core syndromes of ASD, and still lacks effective treatment. Transcranial magnetic stimulation (TMS) is a noninvasive and safe procedure that uses magnetic fields to modulate neural activity. Whether it were effective in modulating social function remains unclear. By using 3-chamber test, ultrasonic vocalization recording and Western-blotting, we demonstrated that FMR1 (fragile X mental retardation protein) mutant mice, a model of ASD, exhibited obvious defects in social preference and ultrasonic communication. In addition, we detected increase of p-Akt (S473) and p-GSK-3ß (S9), and decrease of p-PSD-95 (T19) in the anterior cingulate cortex (ACC) of FMR1-/- mice. Treating FMR1-/- mice with 1 Hz repetitive TMS (rTMS) exerted a long lasting effect in improving both the ultrasonic communication and social preference, as well as restoring the levels of Akt/GSK-3ß activity and spine density in the FMR1-/-ACC. Our data, for the first time, demonstrated a beneficial effect of low frequency rTMS (LF-rTMS) on the social function of FMR1-/- mice and an involvement of Akt/GSK-3ß signaling in this process, indicating LF-rTMS as a potential therapeutic strategy for ASD patients.

Manganese(III) acetate-mediated synthesis of N-substituted fulleropyrrolines via the reaction of [60]fullerene with α-monosubstituted acetaldehydes and primary amines.

The simple one-step reaction of [60]fullerene with α-monosubstituted acetaldehydes and primary amines in the presence of Mn(OAc)3·2H2O under air conditions afforded a series of novel N-substituted fulleropyrrolines with trisubstituted CC bonds in moderate to good yields. The addition of Mn(OAc)3·2H2O played a crucial role in the successful synthesis of N-aryl fulleropyrrolines with trisubstituted CC bonds, which would be extremely difficult to prepare by known methods as a result of the decreased nucleophilicity of arylamines due to the p-π conjugation effect. Intriguingly, arylamines displayed abnormally higher reactivity as compared with non-arylamines in the current reaction system by the observation of obviously decreased equivalent of Mn(OAc)3·2H2O, higher product yields, and lower reaction temperature probably due to the radical reaction mechanism initiated by Mn(OAc)3·2H2O. On the basis of experimental observations, a plausible formation pathway for N-substituted fulleropyrrolines with trisubstituted CC bonds was proposed to elucidate the above-mentioned reaction process.

Network structure of depression and anxiety symptoms in Chinese female nursing students.

BACKGROUND: Comorbidity between depressive and anxiety disorders is common. From network perspective, mental disorders arise from direct interactions between symptoms and comorbidity is due to direct interactions between depression and anxiety symptoms. The current study investigates the network structure of depression and anxiety symptoms in Chinese female nursing students and identifies the central and bridge symptoms as well as how other symptoms in present network are related to depression symptom "thoughts of death". METHODS: To understand the full spectrum of depression and anxiety, we recruited 776 Chinese female nursing students with symptoms of depression and anxiety that span the full range of normal to abnormal. Depression symptoms were measured by Patient Health Questionnaire-9 while anxiety symptoms were measured by Generalized Anxiety Disorder 7-Item Questionnaire. Network analysis was used to construct networks. Specifically, we computed the predictability, expected influence and bridge expected influence for each symptom and showed a flow network of "thoughts of death". RESULTS: Nine strongest edges existed in network were from the same disorder. Four were between depression symptoms, like "sleep difficulties" and "fatigue", and "anhedonia" and "fatigue". Five were between anxiety symptoms, like "nervousness or anxiety" and "worry too much", and "restlessness" and "afraid something will happen". The symptom "fatigue", "feeling of worthlessness" and "irritable" had the highest expected influence centrality. Results also revealed two bridge symptoms: "depressed or sad mood" and "irritable". As to "thoughts of death", the direct relations between it and "psychomotor agitation/retardation" and "feeling of worthlessness" were the strongest direct relations. CONCLUSIONS: The current study highlighted critical central symptoms "fatigue", "feeling of worthlessness" and "irritable" and critical bridge symptoms "depressed or sad mood" and "irritable". Particularly, "psychomotor agitation/retardation" and "feeling of worthlessness" were identified as key priorities due to their strongest associations with suicide ideation. Implications for clinical prevention and intervention based on these symptoms are discussed.

The relations between different components of intolerance of uncertainty and symptoms of generalized anxiety disorder: a network analysis.

BACKGROUND: Intolerance of uncertainty (IU) is considered as a specific risk factor in the development and maintenance of generalized anxiety disorder (GAD). Yet, researches have investigated the relations between IU and GAD (or worry) using total scores on self-report measures. This ignores that there are different components exist in IU and the heterogeneity of GAD symptoms. In the present study, we explored the relations among different components of IU and symptoms of GAD. METHODS: A dimensional approach which take individual differences into consideration in different components of IU along a full range of normal to abnormal symptom severity levels of GAD were used in this study. Components of IU were measured by 12-item Intolerance of Uncertainty Scale and symptoms of GAD were measured by Generalized Anxiety Disorder 7-Item Questionnaire. Regularized partial-correlation network was estimated using cross-sectional data from 624 university students. RESULTS: Four strongest edges are between components of IU, like "Unforeseen events upset me greatly" and "It frustrates me not having all the information I need". Two strongest edges are between symptoms of GAD, like "Being so restless that it is hard to sit still" and "Feeling afraid as if something awful might happen". Symptom "Worrying too much about different things" and component "It frustrates me not having all the information I need" have the highest expected influences in the present network. In the community of IU, component "It frustrates me not having all the information I need" has the highest bridge expected influence. And in the community of GAD, symptoms "Worrying too much about different things" and "Not being able to stop or control worrying" have the highest bridge expected influence. CONCLUSIONS: This study reveals potential pathways between different components of IU and various symptoms of GAD. Understanding how putative risk factors such as different components of IU are related to symptoms of GAD may provide some references for related preventions and interventions, such as targeting component "It frustrates me not having all the information I need" may be more effective at reducing symptoms of GAD than targeting other components of IU.

Biotechnological Production of the Sunscreen Pigment Scytonemin in Cyanobacteria: Progress and Strategy.

Scytonemin is a promising UV-screen and antioxidant small molecule with commercial value in cosmetics and medicine. It is solely biosynthesized in some cyanobacteria. Recently, its biosynthesis mechanism has been elucidated in the model cyanobacterium Nostoc punctiforme PCC 73102. The direct precursors for scytonemin biosynthesis are tryptophan and p-hydroxyphenylpyruvate, which are generated through the shikimate and aromatic amino acid biosynthesis pathway. More upstream substrates are the central carbon metabolism intermediates phosphoenolpyruvate and erythrose-4-phosphate. Thus, it is a long route to synthesize scytonemin from the fixed atmospheric CO2 in cyanobacteria. Metabolic engineering has risen as an important biotechnological means for achieving sustainable high-efficiency and high-yield target metabolites. In this review, we summarized the biochemical properties of this molecule, its biosynthetic gene clusters and transcriptional regulations, the associated carbon flux-driving progresses, and the host selection and biosynthetic strategies, with the aim to expand our understanding on engineering suitable cyanobacteria for cost-effective production of scytonemin in future practices.

The item network and domain network of burnout in Chinese nurses.

BACKGROUND: As a common social phenomenon, nurses' occupational burnout has a high incidence rate, which seriously affects their mental health and nursing level. The current assessment mostly uses the total score model and explores the influence of external factors on burnout, while the correlation between burnout items or dimensions is less explored. Ignoring the correlation between the items or dimensions may result in a limited understanding of nurse occupational burnout. This paper explores the item and dimension network structure of the Maslach Burnout Inventory-General Survey (MBI-GS) in Chinese nurses, so as to gain a deeper understanding of this psychological construct and identify potential targets for clinical intervention. METHODS: A total of 493 Chinese nurses were recruited by cluster sampling. All participants were invited to complete the survey on symptoms of burnout. Network analysis was used to investigate the item network of MBI-GS. In addition, community detection was used to explore the communities of MBI-GS, and then network analysis was used to investigate the dimension network of MBI-GS based on the results of community detection. Regularized partial correlation and non-regularized partial correlation were used to describe the association between different nodes of the item network and dimension network, respectively. Expected influence and predictability were used to describe the relative importance and the controllability of nodes in both the item and dimension networks. RESULTS: In the item network, most of the strongly correlated edges were in the same dimension of emotional exhaustion (E), cynicism (C) and reduced professional efficacy (R), respectively. E5 (Item 5 of emotional exhaustion, the same below) "I feel burned out from my work", C1 "I have become more callous toward work since I took this job", and R3 "In my opinion, I am good at my job" had the highest expected influence (z-scores = 0.99, 0.81 and 0.94, respectively), indicating theirs highest importance in the network. E1 "I feel emotionally drained from my work" and E5 had the highest predictability (E1 = 0.74, E5 = 0.74). It shows that these two nodes can be interpreted by their internal neighbors to the greatest extent and have the highest controllability in the network. The spinglass algorithm and walktrap algorithm obtained exactly the same three communities, which are consistent with the original dimensions of MBI-GS. In the dimension network, the emotional exhaustion dimension was closely related to the cynicism dimension (weight = 0.65). CONCLUSIONS: The network model is a useful tool to study burnout in Chinese nurses. This study explores the item and domain network structure of nurse burnout from the network perspective. By calculating the relevant indicators, we found that E5, C1, and R3 were the most central nodes in the item network and cynicism was the central node in the domain network, suggesting that interventions aimed at E5, C1, R3 and cynicism might decrease the overall burnout level of Chinese nurses to the greatest extent. This study provides potential targets and a new way of thinking for the intervention of nurse burnout, which can be explored and verified in clinical practice.

Inhibition of SIRT1 in hippocampal CA1 ameliorates PTSD-like behaviors in mice by protections of neuronal plasticity and serotonin homeostasis via NHLH2/MAO-A pathway.

Hippocampal SIRT1 dysfunction and gene variation have previously been found potentially involved in depressive and anxiety disorders. However, the exact role of SIRT1 in post-traumatic stress disorder (PTSD) is not well understood. Here, we employed multiple genetic and pharmacological approaches targeting SIRT1 to verify the effects of SIRT1 on SPS-induced PTSD-like behaviors and its potential cellular and molecular mechanisms. We first demonstrated that Sirt1 knockout mice showed milder PTSD-like behavior after single prolonged stress (SPS) induction than wild type mice. Moreover, the expression of SIRT1 in the ventral CA1 (vCA1) region of hippocampus showed no significant changes following SPS induction, but the activity of SIRT1 enzyme was significantly increased post-SPS. Osmotic administration of EX527 in vCA1, a SIRT1 inhibitor, was shown to normalize the SIRT1 activity in SPS mice. Mechanically, EX527 rescued the acetylation of helix-loop-helix transcription factor 2 (NHLH2) and transcriptionally inhibited the increase of MAO-A expression in the vCA1, which thus suppressed the decomposition of the neurotransmitter serotonin into 5-hydroxydoleacetic acid (5-HIAA). Morphologically, Golgi staining showed that EX527 treatment improved the abnormal neuronal structure plasticity in the vCA1 region after SPS, including reversing the atrophic dendrites and the decreased dendritic spines. Finally, SIRT1 inhibitor effectively alleviated fear conditioning responses and anxiety-like behaviors. Our study first demonstrated that the development of PTSD-like behaviors was causatively related to the abnormal increase of SIRT1 activity in the ventral hippocampal CA1 region. And we also provided evidence that SIRT1 inhibition might exert therapeutic effects on PTSD by maintaining serotonin homeostasis through transcriptional inhibition of MAO-A, and thereby remodeled synaptic plasticity in the vCA1 region.

Association of insulin, C-peptide and blood lipid patterns in patients with impaired glucose regulation.

BACKGROUND: To investigate any associations between blood glucose (BG) and lipid levels in patients with different glucose tolerance statuses, including type 2 diabetes (T2DM) and impaired glucose regulation (IGR) cases as well as normal glucose tolerance (NGT) individuals. METHODS: A total of 354 participants were recruited to this study including 174 in the T2DM group, 112 in the IGR group and 68 in the NGT group. We compared BG, insulin and C-peptide (CP), total cholesterol (TC), triglyceride (TG), high-density lipoprotein cholesterol (HDL-C) and low-density lipoprotein cholesterol (LDL-C) serum levels during a 3 h oral glucose tolerance test (OGTT) in the 3 groups. RESULTS: Basic overall HbA1c serum concentration percentages were 5.52, 6.33 and 9.76% for the NTG, IGR and T2DM cases. During the OGTT, insulin secretion in the IGR group was almost double that of the T2DM group. CP levels were highest in the IGR patients and OGTT related BG concentrations were highest in the T2DM group followed by IGR, but in the IGR group hyperglycemia was less pronounced than in T2DM patients (P <  0.001). Compared to the NGT group, TC, TG and LDL-C serum concentrations were significantly higher (P ≤ 0.001) and HDL-C concentrations were significantly lower (P ≤ 0.001) in IGR and T2DM cases compared to the NTG group. CONCLUSIONS: IGR led to similar unfavorable blood lipid patterns compared with T2DM patients and an imbalance of insulin and CP serum concentrations during an OGTT.

Neptunicoccus sediminis gen. nov., sp. nov., a member of the family Rhodobacteraceae isolated from the Yellow Sea.

A novel Gram-stain-negative bacterium, designated strain CY02T, was isolated from sediment of the Yellow Sea. Cells of CY02T were aerobic, coccus or short rods. Growth occurred at 5-42 °C (optimum, 35 °C), pH 6-10 (optimum, 8.0) and 0.5-9.0 % NaCl (optimum, 1.5-3.0 %). Phylogenetic analysis of 16S rRNA gene sequences revealed that CY02T was a member of the family Rhodobacteraceae and exhibited less than 95 % sequence similarities with the closely related type strains of the family Rhodobacteraceae. The genomic DNA G+C content of CY02T was 57.5 mol%. The major respiratory quinone was ubiquinone-10 (Q-10). The polar lipids consisted of phosphatidylcholine, phosphatidylglycerol, phosphatidylethanolamine, diphosphatidylglycerol, three unidentified lipids, one unidentified phospholipid and one unidentified aminolipid. The predominant cellular fatty acids were C18 : 1ω7c (57.6 %), 11-methyl C18 : 1ω7c (22.8 %) and C16 : 0 (10.6 %). Based on the results of morphological, physiological, biochemical, chemotaxonomic, genotypic and phylogenetic analyses, strain CY02T represents a novel species of a novel genus of the family Rhodobacteraceae, for which the name Neptunicoccus sediminis gen. nov., sp. nov. is proposed. The type strain of Neptunicoccus sediminis is CY02T (=CCTCC AB 2015430T=KCTC 42985T=NBRC 111872T=MCCC 1K03518).

Regulatory focus and burnout in nurses: The mediating effect of perception of transformational leadership.

This correlation study investigated the relationship between nurses' regulatory focus and burnout, as mediated by their perceptions of transformational leadership, using a cross-sectional research design with anonymous questionnaires. In July-August 2012, data were collected from 378 nurses from three hospitals in Shaanxi Province, China, using self-report questionnaires for measuring the nurses' regulatory focus, their level of burnout and their perception of whether the leadership of their supervisor was transformational. Structural equation modelling and bootstrapping procedures were used to identify the mediating effect of their perceptions of transformational leadership. The results supported our hypothesized model. The type of regulatory focus emerged as a significant predictor of burnout. Having a perception of transformational leadership partially mediated the relationship between regulatory focus and burnout. Having a promotion focus reduced burnout when the participants perceived transformational leadership, whereas having a prevention focus exhibited the opposite pattern. The mediating effect of the perception of transformational leadership suggests that a promotion focus may help diminish burnout, directly and indirectly. Nurse managers must be aware of the role of a regulatory focus and cultivate promotion focus in their followers.

Experimental study on mechanical properties of 3D Printed layered rock like materials.

Layered rocks are prevalent in the Earth's crust and are frequently encountered in underground engineering construction. Due to their pronounced anisotropy, the deformation and failure mechanism of layered rock are complex. Laboratory tests are an effective way to study these mechanisms. However, natural layered rocks present challenges, such as difficult sampling and large discreteness. Additionally, current methods for creating layered rock models are often costly or lack precision, limiting research into their mechanical properties. In this study, a 3D printing process using wet material extrusion was adopted, with a wide range of material options and low production costs. Five layered model samples with bedding dip angles of 0°, 30°, 45°, 60° and 90° were printed using this method. Uniaxial compression tests were conducted, supplemented by digital image correlation (DIC) to capture detailed stress-strain data and failure patterns. The results demonstrate that the mechanical properties of the 3D-printed samples closely resemble those of natural layered rocks and exhibit significant anisotropy. This approach presents a new cost-effective method for studying the mechanical behavior of layered rock.

Relationship between parenting style and internet addiction: Interpersonal relationship problem as a mediator and gender as a moderator.

Purpose: This study assessed the moderating effect of gender on the indirect effects of positive and negative parenting styles on Internet addiction through interpersonal relationship problem. Methods: A cross-sectional survey of randomly sampled 1194 college students recruited voluntarily from three universities in China was conducted to assess the variables of positive and negative parenting styles, interpersonal relationship problem, and Internet addiction. Results: Positive parenting style, such as emotional warmth, was a protective factor for the development of Internet addiction, whereas negative parenting style, such as rejection and overprotection, was a potential risk factor for Internet addiction. Furthermore, interpersonal relationship problem completely mediated the association between positive parenting style and Internet addiction but partially mediated the relationship between negative parenting style and Internet addiction. Finally, gender moderated the indirect effect of parenting style on Internet addiction through interpersonal relationship problem. Conclusion: The correlation between positive parenting style and interpersonal relationship problem was considerably weaker among females, whereas the association between interpersonal relationship problem and Internet addiction was much stronger among females. For the prevention and intervention of Internet addiction, it is important to increase positive parenting style for males while enhancing interpersonal skills training for females. Further longitudinal studies should discuss the effects of paternal and maternal parenting styles on Internet addiction.

Affective norms for 501 Chinese words from three emotional dimensions rated by depressive disorder patients.

Introduction: Emotional words are often used as stimulus material to explore the cognitive and emotional characteristics of individuals with depressive disorder, while normal individuals mostly rate the scores of affective words. Given that individuals with depressive disorder exhibit a negative cognitive bias, it is possible that their depressive state could influence the ratings of affective words. To enhance the validity of the stimulus material, we specifically recruited patients with depression to provide these ratings. Methods: This study provided subjective ratings for 501 Chinese affective norms, incorporating 167 negative words selected from depressive disorder patients' Sino Weibo blogs, and 167 neutral words and 167 positive words selected from the Chinese Affective Word System. The norms are based on the assessments made by 91 patients with depressive disorder and 92 normal individuals, by using the paper-and-pencil quiz on a 9-point scale. Results: Regardless of the group, the results show high reliability and validity. We identified group differences in three dimensions: valence, arousal, and self-relevance: the depression group rated negative words higher, but positive and neutral words lower than the normal control group. Conclusion: The emotional perception affected the individual's perception of words, to some extent, this database expanded the ratings and provided a reference for exploring norms for individuals with different emotional states.

Harnessing photosynthetic microorganisms for enhanced bioremediation of microplastics: A comprehensive review.

Mismanaged plastics, upon entering the environment, undergo degradation through physicochemical and/or biological processes. This process often results in the formation of microplastics (MPs), the most prevalent form of plastic debris (<1 mm). MPs pose severe threats to aquatic and terrestrial ecosystems, necessitating innovative strategies for effective remediation. Some photosynthetic microorganisms can degrade MPs but there lacks a comprehensive review. Here we examine the specific role of photoautotrophic microorganisms in water and soil environments for the biodegradation of plastics, focussing on their unique ability to grow persistently on diverse polymers under sunlight. Notably, these cells utilise light and CO2 to produce valuable compounds such as carbohydrates, lipids, and proteins, showcasing their multifaceted environmental benefits. We address key scientific questions surrounding the utilisation of photosynthetic microorganisms for MPs and nanoplastics (NPs) bioremediation, discussing potential engineering strategies for enhanced efficacy. Our review highlights the significance of alternative biomaterials and the exploration of strains expressing enzymes, such as polyethylene terephthalate (PET) hydrolases, in conjunction with microalgal and/or cyanobacterial metabolisms. Furthermore, we delve into the promising potential of photo-biocatalytic approaches, emphasising the coupling of plastic debris degradation with sunlight exposure. The integration of microalgal-bacterial consortia is explored for biotechnological applications against MPs and NPs pollution, showcasing the synergistic effects in wastewater treatment through the absorption of nitrogen, heavy metals, phosphorous, and carbon. In conclusion, this review provides a comprehensive overview of the current state of research on the use of photoautotrophic cells for plastic bioremediation. It underscores the need for continued investigation into the engineering of these microorganisms and the development of innovative approaches to tackle the global issue of plastic pollution in aquatic and terrestrial ecosystems.

Unveiling macrophage diversity in myocardial ischemia-reperfusion injury: identification of a distinct lipid-associated macrophage subset.

Background and objective: Macrophages play a crucial and dichotomous role cardiac repair following myocardial ischemia-reperfusion, as they can both facilitate tissue healing and contribute to injury. This duality is intricately linked to environmental factors, and the identification of macrophage subtypes within the context of myocardial ischemia-reperfusion injury (MIRI) may offer insights for the development of more precise intervention strategies. Methods: Specific marker genes were used to identify macrophage subtypes in GSE227088 (mouse single-cell RNA sequencing dataset). Genome Set Enrichment Analysis (GSEA) was further employed to validate the identified LAM subtypes. Trajectory analysis and single-cell regulatory network inference were executed using the R packages Monocle2 and SCENIC, respectively. The conservation of LAM was verified using human ischemic cardiomyopathy heart failure samples from the GSE145154 (human single-cell RNA sequencing dataset). Fluorescent homologous double-labeling experiments were performed to determine the spatial localization of LAM-tagged gene expression in the MIRI mouse model. Results: In this study, single-cell RNA sequencing (scRNA-seq) was employed to investigate the cellular landscape in ischemia-reperfusion injury (IRI). Macrophage subtypes, including a novel Lipid-Associated Macrophage (LAM) subtype characterized by high expression of Spp1, Trem2, and other genes, were identified. Enrichment and Progeny pathway analyses highlighted the distinctive functional role of the SPP1+ LAM subtype, particularly in lipid metabolism and the regulation of the MAPK pathway. Pseudotime analysis revealed the dynamic differentiation of macrophage subtypes during IRI, with the activation of pro-inflammatory pathways in specific clusters. Transcription factor analysis using SCENIC identified key regulators associated with macrophage differentiation. Furthermore, validation in human samples confirmed the presence of SPP1+ LAM. Co-staining experiments provided definitive evidence of LAM marker expression in the infarct zone. These findings shed light on the role of LAM in IRI and its potential as a therapeutic target. Conclusion: In conclusion, the study identifies SPP1+ LAM macrophages in ischemia-reperfusion injury and highlights their potential in cardiac remodeling.