Early preschool wheeze trajectories are predominantly non-allergic with distinct biologic and microbiome traits.

Background: Disentangling preschool wheezing heterogeneity in terms of clinical traits, temporal patterns, and collective healthcare burden is critical for precise and effective interventions.

Objective: We aimed to collectively define contributions and distinct characteristics of respiratory phenotypes based on longitudinal wheeze and atopic sensitization patterns in the first 5 years of life.

Methods: Group-based trajectory analysis was performed in the CHILD Cohort study to identify distinct wheeze and allergic sensitization trajectories.

Site- and cell-type-specific miRNA and mRNA genes and networks across the cortex, striatum, and hypothalamus.

Biological rhythms control gene expression, but effects on central nervous system (CNS) cells and structures remain poorly defined. While circadian (24-hour) rhythms are most studied, many genes have periods of greater and less than 24-hours; these fluctuations can be both site- and cell-specific. Identifying patterns of gene rhythmicity across the CNS is necessary for both the study of chronobiology and to make sense of data obtained in the laboratory.

Research Progress on the Application of Neutralizing Nanobodies in the Prevention and Treatment of Viral Infections.

Public health crises triggered by viral infections pose severe threats to individual health and disrupt global socioeconomic systems. Against the backdrop of global pandemics caused by highly infectious diseases such as COVID-19 and Ebola virus disease (EVD), the development of innovative prevention and treatment strategies has become a strategic priority in the field of biomedicine. Neutralizing antibodies, as biological agents, are increasingly recognized for their potential in infectious disease control.

Cannabis smoking is associated with persistent epigenome-wide disruptions despite smoking cessation.

Background: The use of cannabis has been associated with both therapeutic and harmful effects. As with cigarette smoking, cannabis smoking may affect the epigenetic regulation (e.g.

Gene-by-environment interactions modulate the infant gut microbiota in asthma and atopy.

Background: Gut microbiota has been associated with health and susceptibility to childhood diseases, including asthma and allergies. However, the genomic factors contributing to interindividual variations in gut microbiota remain poorly understood.

Objective: We sought to integrate host genomics with early-life exposures to investigate main and interaction effects on gut microbiota during the first year of life.

Diethyldithiocarbamate-copper complex ignites the tumor microenvironment through NKG2D-NKG2DL axis.

Advanced metastatic colorectal cancer (CRC) with deficient DNA mismatch repair (MMR-d), or immune-hot CRCs, show significantly improved clinical outcomes compared to MMR-proficient (MMR-p), or immune-cold CRCs. While the prior represents about 5% of all CRCs, the latter represent 95% and are characterized by low immunogenicity. This study investigates bis-diethyldithiocarbamate (CuET), a novel anticancer compound, and its impact on the colorectal cancer tumor microenvironment (TME).

Accelerated epigenetic ageing worsens survival and mediates environmental stressors in fibrotic interstitial lung disease.

Background: The role of epigenetic ageing in the environmental pathogenesis and prognosis of fibrotic interstitial lung disease (fILD) is unclear. We evaluated whether ambient particulate matter with diameter ≤2.5 μm (PM) and neighbourhood disadvantage exposures are associated with accelerated epigenetic ageing, and whether epigenetic age is associated with adverse clinical outcomes in patients with fILD.

Corrigendum: Activation of EphrinB2/EphB2 signaling in the spine cord alters glia-neuron interactions in mice with visceral hyperalgesia following maternal separation.

[This corrects the article DOI: 10.3389/fphar.2024.

Activation of EphrinB2/EphB2 signaling in the spine cord alters glia-neuron interactions in mice with visceral hyperalgesia following maternal separation.

Background: Sress early in life has been linked to visceral hyperalgesia and associated functional gastrointestinal disorders. In a mouse model of visceral hyperalgesia, we investigated whether the EphB2 receptor and its EphrinB2 ligand in spinal cord contribute to dysregulation of glia-neuron interactions.

Methods: An established mouse model of stress due to maternal separation (MS).

Transcriptomic and metabolomic data of goat ovarian and uterine tissues during sexual maturation.

The ovaries and uterus are crucial reproductive organs in mammals, and their coordinated development ensures the normal development of sexual maturity and reproductive capacity. This study aimed to comprehensively capture the different physiological stages of the goat's sexual maturation by selecting four specific time points. We collected samples of ovarian and uterine tissues from five female Jining Gray goats at each time point: after birth (D1), 2-month-old (M2), 4-month-old (M4), and 6-month-old (M6).

Cannabis smoking is associated with advanced epigenetic age.

https://bit.ly/3x7s2CU

Persistent DNA Methylation Changes across the First Year of Life and Prenatal Exposure in a Canadian Prospective Birth Study.

Background: Evidence suggests that prenatal air pollution exposure alters DNA methylation (DNAm), which could go on to affect long-term health. It remains unclear whether DNAm alterations present at birth persist through early life. Identifying persistent DNAm changes would provide greater insight into the molecular mechanisms contributing to the association of prenatal air pollution exposure with atopic diseases.

Dehydrocorydaline alleviates sleep deprivation-induced persistent postoperative pain in adolescent mice through inhibiting microglial P2Y receptor expression in the spinal cord.

During adolescence, a second period of central nervous system (CNS) plasticity that follows the fetal period, which involves sleep deprivation (SD), becomes apparent. SD during adolescence may result in abnormal development of neural circuits, causing imbalance in neuronal excitation and inhibition, which not only results in pain, but increases the chances of developing emotion disorders in adulthood, such as anxiety and depression. The quantity of surgeries during adolescence is also consistently on the rise, yet the impact and underlying mechanism of preoperative SD on postoperative pain remain unexplored.

Identification and Characterization of circRNAs in Non-Lactating Dairy Goat Mammary Glands Reveal Their Regulatory Role in Mammary Cell Involution and Remodeling.

This study conducted transcriptome sequencing of goat-mammary-gland tissue at the late lactation (LL), dry period (DP), and late gestation (LG) stages to reveal the expression characteristics and molecular functions of circRNAs during mammary involution. A total of 11,756 circRNAs were identified in this study, of which 2528 circRNAs were expressed in all three stages. The number of exonic circRNAs was the largest, and the least identified circRNAs were antisense circRNAs.

Transcriptome Analysis of Goat Mammary Gland Tissue Reveals the Adaptive Strategies and Molecular Mechanisms of Lactation and Involution.

To understand how genes precisely regulate lactation physiological activity and the molecular genetic mechanisms underlying mammary gland involution, this study investigated the transcriptome characteristics of goat mammary gland tissues at the late gestation (LG), early lactation (EL), peak lactation (PL), late lactation (LL), dry period (DP), and involution (IN) stages. A total of 13,083 differentially expressed transcripts were identified by mutual comparison of mammary gland tissues at six developmental stages. Genes related to cell growth, apoptosis, immunity, nutrient transport, synthesis, and metabolism make adaptive transcriptional changes to meet the needs of mammary lactation.

Characterization of long noncoding RNA in nonlactating goat mammary glands reveals their regulatory role in mammary cell involution and remodeling.

Long noncoding RNA (lncRNA) can regulate mammary gland development and lactation physiological activities. However, the molecular genetic mechanisms of lncRNA in mammary gland involution and cell remodeling remain unclear. This work analyzed the expression characteristics and molecular functions of lncRNA in goat mammary gland tissue at the late lactation (LL), dry period (DP), and late gestation (LG) stages.

Deep Reinforcement Learning-Based Trading Strategy for Load Aggregators on Price-Responsive Demand.

With the development of the Internet of things and smart grid technologies, modern electricity markets seamlessly connect demand response to the spot market through price-responsive loads, in which the trading strategy of load aggregators plays a crucial role in profit capture. In this study, we propose a deep reinforcement learning-based strategy for purchasing and selling electricity based on real-time electricity prices and real-time demand data in the spot market, which maximizes the revenue of load aggregators. The deep deterministic policy gradient (DDPG) is applied through a bidirectional long- and short-term memory (BiLSTM) network to extract the market state features that are used to make trading decisions.

High-Throughput Sequencing Reveals Transcriptome Signature of Early Liver Development in Goat Kids.

As a vital metabolic and immune organ in animals, the liver plays an important role in protein synthesis, detoxification, metabolism, and immune defense. The primary research purpose of this study was to reveal the effect of breast-feeding, weaning transition, and weaning on the gene expression profile in the goat kid liver and to elucidate the transcriptome-level signatures associated with liver metabolic adaptation. Therefore, transcriptome sequencing was performed on liver tissues, which was collected at 1 day (D1), 2 weeks (W2), 4 weeks (W4), 8 weeks (W8), and 12 weeks (W12) after birth in Laiwu black goats at five different time-points, with five goats at each time point.

Short-Term Demand Forecasting Method in Power Markets Based on the KSVM-TCN-GBRT.

With the consumption of new energy and the variability of user activity, accurate and fast demand forecasting plays a crucial role in modern power markets. This paper considers the correlation between temperature, wind speed, and real-time electricity demand and proposes a novel method for forecasting short-term demand in the power market. Kernel Support Vector Machine is first used to classify real-time demand in combination with temperature and wind speed, and then the temporal convolutional network (TCN) is used to extract the temporal relationships and implied information of day-ahead demand.

Wheeze trajectories: Determinants and outcomes in the CHILD Cohort Study.

Background: Wheezing in early life is associated with asthma in adulthood; however, the determinants of wheezing trajectories and their associations with asthma and lung function in childhood remain poorly understood.

Objective: In the CHILD Cohort Study, we aimed to identify wheezing trajectories and examine the associations between these trajectories, risk factors, and clinical outcomes at age 5 years.

Methods: Wheeze data were collected at 8 time points from 3 months to 5 years of age.