Associations between parenting burnout and maternal adverse childhood experiences among postnatal women.

This study aims at exploring the relationships between adverse childhood experience (ACEs) and parental burnout. A total of 583 postnatal Chinese mothers were recruited in this cross-sectional study. Maternal ACEs were measured by Adverse Childhood Experience Questionnaire-Revised and parental burnout was measured by Parental Burnout Assessment. Multiple linear and binary logistic regression, and latent class analysis were used to explore the association between each type and cumulative ACEs and parental burnout. We found ACEs were associated with a higher risk of parental burnout. However, the association differed in the type of ACEs. The higher levels of physical abuse (B = 0.971 ~ 0.459, all p < 0.05) and emotional neglect (B = 1.010 ~ 1.407, all p < 0.05) in childhood were correlated with more serious parental burnout. The higher levels of self-threatened (B = 0.429 ~ 0.559, all p < 0.05) and self-deprived experience (B = 0.384 ~ 0.462, all p < 0.05), higher number of ACEs type (B = 2.909 ~ 3.918, all p < 0.05) were associated with more serious parental burnout. Results were consistent after combining four dimensions of parental burnout as a whole in LCA. This study indicated that maternal ACEs were associated with parental burnout. Women with self-deprived, self-threatened and more types of ACEs should be paid special attention.

Vis-NIR spectroscopic discriminant analysis of aflatoxin B1 excessive standard in peanut meal as feedstuff materials.

A fast, simple and reagent-free detection method for aflatoxin B1 (AFB1) is of great significance to food safety and human health. Visible and near-infrared (Vis-NIR) spectroscopy was applied to the discriminant analysis of AFB1 excessive standard of peanut meal as feedstuff materials. Two types of excessive standard discriminant models based on spectral quantitative analysis with partial least squares (PLS) and direct pattern recognition with partial least squares-discrimination analysis (PLS-DA) were established, respectively. Multi-parameter optimization of Norris derivative filtering (NDF) was used for spectral preprocessing; the two-stage wavelength screening method based on equidistant combination-wavelength step-by-step phase-out (EC-WSP) was used for wavelength optimization. A rigorous sample experimental design of calibration-prediction-validation was utilized. The calibration and prediction samples were used for modeling and parameter optimization, and the selected model was validated using the independent validation samples. For quantitative analysis-based, the positive, negative and total recognition-accuracy rates in validation (RARV+, RARV-, and RARV) were 84.8 %, 74.6 % and 79.8 %, respectively; but, the relative root mean square error of prediction was as high as 51.0 %. For pattern recognition-based, the RARV+, RARV-, and RARV were 93.3 %, 90.5 % and 91.9 %, respectively. Moreover, the number of wavelengths N was drastically reduced to 17, and the discrete wavelength combination was in NIR overtone frequency region. The results indicated that, the EC-WSP-PLS-DA model achieved significantly better discrimination effect. Thus demonstrated that Vis-NIR spectroscopy has feasibility for the excessive standard discrimination of aflatoxin B1 in feedstuff materials.

Relationship Between Sleep Problems and Memory Impairment Among Nurses.

BACKGROUND: Sleep problems are common among nurses and can lead to various health problems. Further, the relationship between multiple sleep problems and memory impairment in clinical nurses remains unknown. Therefore, in this study, we aimed to explore the relationship between sleep problems and memory impairment among nurses. METHODS: Multistage cluster-stratified random sampling was performed from tertiary hospitals in Shandong, China. Overall, a total of 1833 nurses were included in the final analysis. The Chinese version of the Pittsburgh Sleep Quality Index and prospective and retrospective memory questionnaire were administered to the participants. RESULTS: The sleep quality of the nurses decreased during the normal epidemic prevention and control period compared with that before the epidemic in terms of sleep duration, sleep efficiency, and sleep disturbances. Nurses who reported cumulative or specific sleep problems (e.g., high sleep latency, sleep disturbances, and daytime dysfunction) and those in the "daily disturbances" and "poor sleep quality" groups had a higher risk of memory impairment than the others. CONCLUSION: Sleep problems might be important for memory impairment among nurses. These findings may help identify nurses at considerable risk of memory impairment in clinical practice.

Identification of KRAS mutation-associated gut microbiota in colorectal cancer and construction of predictive machine learning model.

Gut microbiota has demonstrated an increasingly important role in the onset and development of colorectal cancer (CRC). Nonetheless, the association between gut microbiota and KRAS mutation in CRC remains enigmatic. We conducted 16S rRNA sequencing on stool samples from 94 CRC patients and employed the linear discriminant analysis effect size algorithm to identify distinct gut microbiota between KRAS mutant and KRAS wild-type CRC patients. Transcriptome sequencing data from nine CRC patients were transformed into a matrix of immune infiltrating cells, which was then utilized to explore KRAS mutation-associated biological functions, including Gene Ontology items and Kyoto Encyclopedia of Genes and Genomes pathways. Subsequently, we analyzed the correlations among these KRAS mutation-associated gut microbiota, host immunity, and KRAS mutation-associated biological functions. At last, we developed a predictive random forest (RF) machine learning model to predict the KRAS mutation status in CRC patients, based on the gut microbiota associated with KRAS mutation. We identified a total of 26 differential gut microbiota between both groups. Intriguingly, a significant positive correlation was observed between Bifidobacterium spp. and mast cells, as well as between Bifidobacterium longum and chemokine receptor CX3CR1. Additionally, we also observed a notable negative correlation between Bifidobacterium and GOMF:proteasome binding. The RF model constructed using the KRAS mutation-associated gut microbiota demonstrated qualified efficacy in predicting the KRAS phenotype in CRC. Our study ascertained the presence of 26 KRAS mutation-associated gut microbiota in CRC and speculated that Bifidobacterium may exert an essential role in preventing CRC progression, which appeared to correlate with the upregulation of mast cells and CX3CR1 expression, as well as the downregulation of GOMF:proteasome binding. Furthermore, the RF model constructed on the basis of KRAS mutation-associated gut microbiota exhibited substantial potential in predicting KRAS mutation status in CRC patients.IMPORTANCEGut microbiota has emerged as an essential player in the onset and development of colorectal cancer (CRC). However, the relationship between gut microbiota and KRAS mutation in CRC remains elusive. Our study not only identified a total of 26 gut microbiota associated with KRAS mutation in CRC but also unveiled their significant correlations with tumor-infiltrating immune cells, immune-related genes, and biological pathways (Gene Ontology items and Kyoto Encyclopedia of Genes and Genomes pathways). We speculated that Bifidobacterium may play a crucial role in impeding CRC progression, potentially linked to the upregulation of mast cells and CX3CR1 expression, as well as the downregulation of GOMF:Proteasome binding. Furthermore, based on the KRAS mutation-associated gut microbiota, the RF model exhibited promising potential in the prediction of KRAS mutation status for CRC patients. Overall, the findings of our study offered fresh insights into microbiological research and clinical prediction of KRAS mutation status for CRC patients.

Analysis of differences in intestinal flora associated with different BMI status in colorectal cancer patients.

BACKGROUND: Overweight is known to be an important risk factor for colorectal cancer (CRC), and the differences in intestinal flora among CRC patients with different BMI status have not been clearly defined. The purpose of this study was to elucidate the differences in the abundance, composition and biological function of intestinal flora in CRC patients with different BMI status. METHOD: A total of 170 CRC patients were included and grouped according to the BMI data of CRC patients. BMI ≥ 24 kg/m2 was defined as overweight group, and BMI within the range of 18.5-23.9 kg/m2 was defined as normal weight group. Preoperative stool collection of patients in both groups was used for 16S rRNA sequencing. Total RNA was extracted from 17 CRC tumor tissue samples for transcriptome sequencing, and then CIBERSORT algorithm was used to convert the transcriptome data into the relative content matrix of 22 kinds of immune cells, and the correlation between different intestinal flora and immune cells and immune-related genes under different BMI states was analyzed. Finally, we identified BMI-related differential functional pathways and analyzed the correlation between these pathways and differential intestinal flora. RESULT: There was no significant difference in α diversity and ß diversity analysis between overweight group and normal weight group. Partial least square discriminant analysis (PLS-DA) could divide the flora into two different clusters according to BMI stratification. A total of 33 BMI-related differential flora were identified by linear discriminant effect size analysis (LEfSe), among which Actinomyces, Desulfovibrio and Bacteroides were significantly enriched in overweight group. ko00514: Other types of O-glycan biosynthesis are significantly enriched in overweight group. There was a significant positive correlation between Clostridium IV and Macrophages M2 and T cells regulatory (Tregs). There was a significant negative correlation with Dendritic cells activated and T cells CD4 memory activated. CONCLUSIONS: The richness and diversity of intestinal flora of CRC patients may be related to different BMI status, and the enrichment of Actinomyces, Desulphurvibrio and Bacteroides may be related to overweight status of CRC patients. The tumor microenvironment in which BMI-related differential flora resides has different immune landscapes, suggesting that some intestinal flora may affect the biological process of CRC by regulating immune cell infiltration and immune gene expression, but further experiments are needed to confirm this.

Association of intimate partner violence with offspring growth in 32 low- and middle-income countries: a population-based cross-sectional study.

Intimate partner violence (IPV) against women presents a major public health challenge, especially in low-income and middle-income countries (LMICs), and its relationship with poor offspring growth is emerging but remains understudied. This study aimed to explore the impact of maternal exposure to IPV on offspring growth based on different approaches in LMICs. We conducted a population-based cross-sectional study using the most recent Demographic and Health Surveys from 32 LMICs; 81,652 mother-child dyads comprising women aged from 15 to 49 years with children aged 0 to 59 months were included. We applied logistic regression models to explore the independent and cumulative relationship between IPV, including emotional, physical, and sexual IPV, with poor child growth status, including stunting and wasting; 52.6% of mothers were under the age of 30 years with a 36% prevalence of any lifetime exposure to IPV. Maternal exposure to any IPV increased the odds of stunting, but only physical and sexual IPV were independently associated with an increased risk of stunting. Three different types of IPV exhibited a cumulative effect on stunting. Maternal exposure to physical IPV was significantly associated with an increased risk of wasting. Significant associations between maternal exposure to emotional IPV with offspring stunting and physical IPV with wasting were only observed in children aged 0 to 36 months. IPV against women remains high in LMICs and has adverse effects on offspring growth. Policy and program efforts are needed to prioritize the reduction of widespread physical and sexual IPV and to mitigate the impact of such violence.

Psychometric Properties of the Chinese Version of the Functional Assessment of Chronic Illness Therapy - Palliative Care (FACIT-Pal) in Patients With Advanced Cancer.

CONTEXT: The Functional Assessment of Chronic Illness Therapy-Palliative Care (FACIT-Pal) has been widely used in assessing the quality of life (QOL) of patients with life-limiting illness. However, the Chinese version of the FACIT-Pal has not been psychometrically validated yet. OBJECTIVES: The purpose of this study was to psychometrically validate the FACIT-Pal in Chinese patients with advanced cancer. METHODS: 160 patients with advanced cancer in mainland China participated in this cross-sectional study. The scalability of the instrument was determined by the item-total correlations and the reliability was tested by examining the Cronbach's alpha coefficients. The construct and concurrent validity of the FACIT-Pal were also examined. RESULTS: The item-total correlation coefficients ranged from 0.25 to 0.72 (P < .01). Cronbach's alpha coefficient of the Chinese version of the FACIT-Pal was 0.94, ranging from 0.78 to 0.89 for subscales. Confirmatory factor analysis (CFA) results provided support for the measurement structure of the 26-item Functional Assessment of Cancer Therapy-General (FACT-G). Exploratory factor analysis (EFA) of the 19-item palliative care subscale identified five factors accounting for 62.21% of the total variance. Total/subscale scores of the FACIT-Pal were positively correlated with that of the Functional Assessment of Chronic Illness Therapy-Spiritual Well-Being 12 Item Scale (FACIT-Sp-12) (r = 0.338-0.811, P < .01), as well as with the Karnofsky Performance Scale (KPS) scores (r = 0.163-0.273, P < .05), except for the correlation between social/family well-being subscale score and KPS score. CONCLUSION: The Chinese version of the FACIT-Pal demonstrates desirable psychometric properties for evaluating QOL in Chinese patients with advanced cancer.

Molecular dynamics simulations revealed topological frustration in the binding-wrapping process of eIF4G with eIF4E.

Interaction between the cap-binding protein eIF4E and the scaffolding protein eIF4G is essential for the cap-dependent translation initiation in eukaryotes. In the Saccharomyces cerevisiae eIF4G/eIF4E complex, the intrinsically disordered eIF4E-binding domain of eIF4G folds into a bracelet-like structure upon binding to eIF4E. Aiming to unveil the molecular mechanism underlying the binding-wrapping process of eIF4G with eIF4E, we performed extensive coarse-grained molecular dynamics simulations and transition path analysis in this work. The major transition pathway revealed from our simulations showed that docking of the eIF4E-binding motif of eIF4G to the folded core of eIF4E initiates the binding process and then the disordered eIF4G wraps around the N-terminal tail of eIF4E. Additionally, we identified a minor transition pathway which indicates the involvement of topological frustration in the binding process. By manipulating the interaction strength of the wrapping contacts and the latching contacts, we further dissected factors affecting the formation of topological frustration and the binding transition kinetics. Our findings provide new clues for experimental studies on the binding mechanism of eIF4G to eIF4E in the future and exemplify the involvement of topological frustration in the binding process of intrinsically disordered proteins.

Molecular mechanism of CCDC106 regulating the p53-Mdm2/MdmX signaling axis.

The tumor suppressor p53 (p53) is regulated by murine double minute 2 (Mdm2) and its homologous MdmX in maintaining the basal level of p53. Overexpressed Mdm2/MdmX inhibits cellular p53 activity, which is highly relevant to cancer occurrence. Coiled-coil domain-containing protein 106 (CCDC106) has been identified as a p53-interacting partner. However, the molecular mechanism of the p53/Mdm2/MdmX/CCDC106 interactions is still elusive. Here, we show that CCDC106 functions as a signaling regulator of the p53-Mdm2/MdmX axis. We identified that CCDC106 directly interacts with the p53 transactivation domain by competing with Mdm2 and MdmX. CCDC106 overexpression downregulates the cellular level of p53 and Mdm2/MdmX, and decreased p53 reversibly downregulates the cellular level of CCDC106. Our work provides a molecular mechanism by which CCDC106 regulates the cellular levels of p53 and Mdm2/MdmX.

Effects and Mechanisms of a Web- and Mobile-Based Acceptance and Commitment Therapy Intervention for Anxiety and Depression Symptoms in Nurses: Fully Decentralized Randomized Controlled Trial.

BACKGROUND: Acceptance and commitment therapy (ACT) is a promising intervention for improving mental health. However, there is limited evidence on its effectiveness for nurses, particularly in web- and mobile-based intervention forms, in mitigating anxiety and depression symptoms. OBJECTIVE: In this study, we aimed to examine the effect and underlying psychological mechanisms of a web- and mobile-based ACT intervention on nurses' anxiety and depression symptoms. METHODS: In this fully decentralized randomized controlled trial, nurses were recruited nationwide across China through advertisements and posters. They were randomly assigned to either the 5-week fully automated intervention or the waiting group. Primary outcomes (anxiety and depression symptoms); secondary outcomes (sleep quality, burnout, and work performance); and mediators (psychological flexibility, cognitive defusion, mindfulness, and values) were assessed using the Wenjuanxing platform. Data collectors were blinded to the group assignments throughout the study period. RESULTS: A total of 145 nurses with anxiety or depression symptoms were randomly assigned to either the intervention group (n=72, 49.7%) or the control group (n=73, 50.3%); 97.2% (n=141) were female. During the study, 36 (24.8%) nurses were lost to follow-up, and 53 (73.6%) completed the entire intervention. Nurses in the intervention group showed significant improvement in anxiety (d=0.67, 95% CI 0.33-1.00) and depression symptoms (d=0.58, 95% CI 0.25-0.91), and the effects were sustained for 3 months after the intervention (anxiety: d=0.55, 95% CI 0.22-0.89; depression: d=0.66, 95% CI 0.33-1.00). Changes in psychological flexibility, cognitive defusion, and values mediated the effect of the intervention on anxiety and depression symptoms, while mindfulness did not have a mediating effect. CONCLUSIONS: The web- and mobile-based ACT intervention used in this study significantly improved nurses' anxiety and depression symptoms by improving psychological flexibility, cognitive defusion, and values. The results provide new ideas for hospital administrators to prevent and intervene in nurses' psychological issues. TRIAL REGISTRATION: Chinese Clinical Trial Register ChiCTR2200059218; https://tinyurl.com/4mb4t5y9.

[Identification of a new C-23 metabolite in sterol degradation of Mycobacterium neoaurum HGMS2 and analysis of its metabolic pathways].

Mycobacterium neoaurum has the ability to produce steroidal intermediates known as 22-hydroxy-23, 24-bisnorchol-4-en-3-one (BA) upon the knockout of the genes for either the hydroxyacyl-CoA dehydrogenase (Hsd4A) or acyl-CoA thiolase (FadA5). In a previous study, we discovered a novel metabolite in the fermentation products when the fadA5 gene was deleted. This research aims to elucidate the metabolic pathway of this metabolite through structural identification, homologous sequence analysis of the fadA5 gene, phylogenetic tree analysis of M. neoaurum HGMS2, and gene knockout. Our findings revealed that the metabolite is a C23 metabolic intermediate, named 24-norchol-4-ene-3, 22-dione (designated as 3-OPD). It is formed when a thioesterase (TE) catalyzes the formation of a ß-ketonic acid by removing CoA from the side chain of 3, 22-dioxo-25, 26-bisnorchol-4-ene-24-oyl CoA (22-O-BNC-CoA), followed by spontaneously undergoing decarboxylation. These results have the potential to contribute to the development of novel steroid intermediates.

Methylene blue accelerates liquid-to-gel transition of tau condensates impacting tau function and pathology.

Preventing tau aggregation is a potential therapeutic strategy in Alzheimer's disease and other tauopathies. Recently, liquid-liquid phase separation has been found to facilitate the formation of pathogenic tau conformations and fibrillar aggregates, although many aspects of the conformational transitions of tau during the phase transition process remain unknown. Here, we demonstrate that the tau aggregation inhibitor methylene blue promotes tau liquid-liquid phase separation and accelerates the liquid-to-gel transition of tau droplets independent of the redox activity of methylene blue. We further show that methylene blue inhibits the conversion of tau droplets into fibrils and reduces the cytotoxicity of tau aggregates. Although gelation slows down the mobility of tau and tubulin, it does not impair microtubule assembly within tau droplets. These findings suggest that methylene blue inhibits tau amyloid fibrillization and accelerates tau droplet gelation via distinct mechanisms, thus providing insights into the activity of tau aggregation inhibitors in the context of phase transition.

The healthy context paradox of bullying victimization and academic adjustment among Chinese adolescents: A moderated mediation model.

Few empirical studies have specifically examined the underlying mechanisms of the "healthy context paradox" in Chinese cultural context. By constructing a moderated mediation model, the present study investigated the relationship between bullying victimization and academic adjustment, as well as the mediating effects of subjective well-being and the moderating role of classroom-level victimization. A sample of 631 adolescents (Mage = 13.75, SD = 0.74, 318 boys) were recruited from four schools in Hubei, Southern China. Results show that: (1) classroom-level victimization moderates the relationship between bullying victimization and academic adjustment. (2) Classroom-level victimization moderates the association through subjective well-being. This study confirms the healthy context paradox of bullying victimization and first reveals the mechanism of the mediating role of subjective well-being. Understanding the mechanisms that contribute to the health context paradox is crucial for developing targeted intervention strategies for individuals who experience ongoing bullying.

The relationship between the Dark Triad and bullying among Chinese adolescents: the role of social exclusion and sense of control.

Introduction: Abundant evidence has proved the association between the Dark Triad and bullying. However, the underlying mechanisms of this relationship are still not fully understood. Based on the temporal need-threat model, three studies were designed to explore the mediating role of social exclusion and sense of control in this research. Methods: In study 1 we recruited 571 Chinese adolescents (Mage = 14.53, SD = 0.716) to participate in a cross-sectional study. And two experiments were respectively designed in Study 2 (N = 88) and Study 3 (N = 102) to verify the effects of real and cyber social exclusion on adolescent bullying behavior. Results: Study 1 showed that social exclusion and sense of control would play the serial mediating role in the relationship between the Dark Triad and bullying (except social exclusion as a mediator between the Dark Triad and cyberbullying). Study 2 and 3 showed that adolescents with high Dark Triad show lower sense of control and more bullying behavior after experiencing social exclusion. Discussion: These findings extend the research on the Dark Triad and bullying by providing a solid empirical foundation and intervention strategies to avoid bullying so that the problem can be rationally and scientifically approached.

Exploring the relationship between postnatal depressive symptoms and parental burnout from the perspective of the population and individual level.

BACKGROUND: Parental burnout has become increasingly common, which can lead to a range of adverse outcomes. Postnatal mothers are vulnerable and mothers with high postpartum depression scores may be more prone to parental burnout. This study aims to investigate the association between postnatal depressive symptoms and parental burnout at both the population and individual levels. METHODS: This study comprised a cross-sectional study design and participants were recruited using convenience sampling. A total of 560 postnatal mothers answered a questionnaire on their general information, postnatal depressive symptoms and parental burnout. Multiple linear regression and binary logistic regression analysis were used to examine the association between postnatal depressive symptoms and parental burnout. Furthermore, latent class analysis was used to identify subtypes of parental burnout. Finally, binary logistic regression was used to examine the differences in postnatal depressive symptoms between latent classes comprising parental burnout. RESULTS: The prevalence of burnout was approximately 10%. At the population level, postnatal depressive symptoms were positively associated with parental burnout (all P < 0.05). At the individual level, two latent classes were identified (i.e., "low parental burnout class" and "high parental burnout class"). Moreover, mothers with postnatal depressive symptoms were more likely to be associated with high parental burnout (PB) class than the low parental burnout class (OR = 1.12, 95% CI:1.03 to 1.23). CONCLUSION: This study found a positive relationship between postnatal depressive symptoms and parental burnout. It provided evidence for developing depression-targeted programs for parental burnout, which could bring great benefits for both mothers and infants.

Spectral separation degree method for Vis-NIR spectroscopic discriminant analysis of milk powder adulteration.

Adulteration detection of adding ordinary milk powder to high-end dedicated milk powder is challenging due to the high similarity. Using visible and near-infrared (Vis-NIR) spectroscopy combined with k-nearest neighbor (kNN), the discriminant analysis models of pure brand milk powder and its adulterated milk powder (including unary and binary adulteration) were established. Standard normal variate transformation and Norris derivative filter (D = 2, S = 11, G = 5) were jointly used for spectral preprocessing. The separation degree and separation degree spectrum between two spectral populations were proposed and used to describe the differences between the two spectral populations, based on which, a novel wavelength selection method, named separation degree priority combination-kNN (SDPC-kNN), was proposed for wavelength optimization. SDPC-wavelength step-by-step phase-out-kNN (SDPC-WSP-kNN) models were established to further eliminate interference wavelengths and improve the model effect. The nineteen wavelengths in long-NIR region (1100-2498 nm) with a separation degree greater than 0 were used to establish single-wavelength kNN models, the total recognition-accuracy rates in prediction (RARP) all reached 100%, and the total recognition-accuracy rate in validation (RARV) of the optimal model (1174 nm) reached 97.4%. In the visible (400-780 nm) and short-NIR (780-1100 nm) regions with the separation degree all less than 0, the SDPC-WSP-kNN models were established. The two optimal models (N = 7, 22) were determined, the RARP values reached 100% and 97.4% respectively, and the RARV values reached 96.1% and 94.3% respectively. The results indicated that Vis-NIR spectroscopy combined with few-wavelength kNN has feasibility of high-precision milk powder adulteration discriminant. The few-wavelength schemes provided a valuable reference for designing dedicated miniaturized spectrometer of different spectral regions. The separation degree spectrum and SDPC can be used to improve the performance of spectral discriminant analysis. The SDPC method based on the separation degree priority proposed is a novel and effective wavelength selection method. It only needs to calculate the distance between two types of spectral sets at each wavelength with low computational complexity and good performance. In addition to combining with kNN, SDPC can also be combined with other classifier algorithms (e.g. PLS-DA, PCA-LDA) to expand the application scope of the method.

Liquid - liquid phase separation of tau: Driving forces, regulation, and biological implications.

The past 15 years have witnessed an explosion in the studies of biomolecular condensates that are implicated in numerous biological processes and play vital roles in human health and diseases. Recent findings demonstrate that the microtubule-associated protein tau forms liquid condensates through liquid-liquid phase separation (LLPS) in in vitro experiments using purified recombinant proteins and cell-based experiments. Although in vivo studies are lacking, liquid condensates have emerged as an important assembly state of physiological and pathological tau and LLPS can regulate the function of microtubules, mediate stress granule formation, and accelerate tau amyloid aggregation. In this review, we summarize recent advances in tau LLPS, aiming to unveiling the delicate interactions driving tau LLPS. We further discuss the association of tau LLPS with physiology and disease in the context of the sophisticated regulation of tau LLPS. Deciphering the mechanisms underlying tau LLPS and the liquid-to-solid transition enables rational design of molecules that inhibit or delay the formation of tau solid species, thus providing novel targeted therapeutic strategies for tauopathies.

Associations of maternal antenatal bonding with neonatal meconium microbiota and the behavior temperament of infants: A prospective longitudinal study.

Exposure to a poor intrauterine environment, such as maternal prenatal stress, has been linked to gut microbiota health in infants. Understanding the link between maternal prenatal bonding, early gut microbiota, and neuropsychological development may promote healthy development in early life. This study included 306 mother-child pairs. Women were assessed for maternal antenatal bonding using the Maternal Antenatal Attachment Scale in all three trimesters of pregnancy. Neonatal meconium samples were collected after birth. The behavioral temperament of infants was measured using the Very Short Form of the Infant Behavior Questionnaire-Revised at 6 months postpartum. Maternal prenatal bonding was negatively associated with the infants' relative abundance of Burkholderia and was positively associated with the relative abundance of Bifidobacterium, infant surgency and effortful control. The infant's relative abundance of Burkholderia mediates the association between maternal prenatal bonding and effortful control of the infant. This study provides new evidence about the long-term behavioral implications of a prenatally positive intrauterine environment in offspring microbiomes. The integration of maternal bonding assessment and intervention into prenatal healthcare and wellness models may modulate the establishment of gut microbiota in early life and long-term neuropsychological development in infants.

[Biosynthesis of steroidal intermediates using Mycobacteria: a review].

Steroids are a class of medicines with important physiological and pharmacological effects. In pharmaceutical industry, steroidal intermediates are mainly prepared through Mycobacteria transformation, and then modified chemically or enzymatically into advanced steroidal compounds. Compared with the "diosgenin-dienolone" route, Mycobacteria transformation has the advantages of abundant raw materials, cost-effective, short reaction route, high yield and environmental friendliness. Based on genomics and metabolomics, the key enzymes in the phytosterol degradation pathway of Mycobacteria and their catalytic mechanisms are further revealed, which makes it possible for Mycobacteria to be used as chassis cells. This review summarizes the progress in the discovery of steroid-converting enzymes from different species, the modification of Mycobacteria genes and the overexpression of heterologous genes, and the optimization and modification of Mycobacteria as chassis cells.

Maternal Impaired Cognition and Infant Neglect: Exploring the Independent and Combined Effects of Maternal Executive Function and Reflective Function.

Infant neglect is a common type of child maltreatment. According to the Social Information Processing theory, maternal executive function (EF) and reflective function (RF) are assumed to be important contributing factors to infant neglect. However, empirical evidence about this assumption is sparse. This was a cross-sectional study. A total of 1010 eligible women participated. The Behavior Rating Inventory of Executive Function-Adult Version, Parental Reflective Function Questionnaire, and Signs of Neglect in Infants Assessment Scale (SIGN) were used to assess maternal EF, RF, and infant neglect, respectively. Random forest was used to assess the relevant importance of maternal EF and RF. K-means clustering was used to identify the profiles of maternal EF and RF. Multivariable linear regression and generalized additive models were used to examine the independent and combined effects of maternal EF and RF on infant neglect. Each dimension of EF was linearly related to infant neglect. The associations between each dimension of RF and infant neglect were nonlinear. The inflection point for each dimension of RF was indicated. Random forest showed EF was more closely related to infant neglect. EF and RF had accumulative effects on infant neglect. Three profiles were identified. Among them, those with globally impaired EF had the highest level of infant neglect compared with those who had normal cognition or only impaired RF. Maternal EF and RF had independent and combined effects on infant neglect. Interventions with maternal EF and RF as targets are promising for reducing infant neglect.