Enhanced Electrochemiluminescence Detection of Dopamine Using Antifouling PEDOT-Modified SPEs for Complex Biological Samples.

Detecting medically important biomarkers in complex biological samples without prior treatment or extraction poses a major challenge in biomedical analysis. Electrochemical methods, specifically electrochemiluminescence (ECL), show potential due to their high sensitivity, minimal background noise, and straightforward operation. This study investigates the ECL performance of screen-printed electrodes (SPEs) modified with the conductive polymer poly(3,4-ethylenedioxythiophene) (PEDOT) and its derivatives for dopamine (DA) detection.

[Effects of electroacupuncture at auricular points on excitability of glutamatergic neurons in the anterior cingulate cortex of posttraumatic stress disorder mice].

Objectives: To elucidate the relationship between the auricular point stimulation and the activity of glutamatergic neurons in the anterior cingulate cortex (ACC) from the perspective of intrinsic excitability plasticity of neurons in mice with posttraumatic stress disorder (PTSD), so as to explore the underlying mechanisms of acupuncture at auricular points in improving emotional diseases induced by PTSD.

Methods: C57BL/6J male mice were randomly divided into control, PTSD model, sham electroacupuncture (EA), and EA groups, with 5 mice in each group. The glutamatergic neurons were labelled by injection of AAV2/9-CaMKⅡα-EGFP viral fluid into the bilateral ACC.

[Correlation between acupoint sensitization of body surface and pituitary adenylate cyclase activating polypeptide expression in myocardial ischemia mice].

Objectives: To explore the relationship between sensitization points of the body surface and the expression of pituitary adenylate cyclase activating polypeptides (PACAP) in myocardial ischemia (MI) mice, so as to reveal the underlying mechanisms of acupoint sensitization from the perspective of molecular biology.

Methods: Male C57BL/6J mice were randomly divided into control and model groups (28 mice/group). The MI-induced visceral pain model was established by intraperitoneal injection of isoprenaline (ISO, 160 mg/kg).

Comparison of global transcriptomes for nontyphoidal Salmonella clinical isolates from pediatric patients with and without bacteremia after their interaction with human intestinal epithelial cells in vitro.

Background: Nontyphoidal Salmonella (NTS) outbreaks of invasive diseases are increasing. Whether the genetic diversity of invasive NTS correlates with the clinical characteristics and bacteremia development in NTS infections remains unclear. In this study, we compared the global transcriptomes between bacteremic and nonbacteremic NTS strains after their interaction with human intestinal epithelial cells in vitro.

AQP4 is upregulated in schizophrenia and Its inhibition attenuates MK-801-induced schizophrenia-like behaviors in mice.

Background: The pathophysiology and molecular mechanisms of schizophrenia (SCZ) remain unclear, and the effective treatment resources are still limited. The goal of this study is to identify the expression of AQP4 in SCZ patients and explore whether AQP4 inhibition could ameliorate schizophrenia-like behaviors and its mechanisms.

Methods: Microarray datasets of PFC compared with healthy control were searched in the Gene Expression Omnibus (GEO) database, and differentially expressed genes (DEGs) were analyzed with the GEO2R online tool.

Understanding Shame-Driven Aggression: The Roles of Externalization of Blame and Hostility in Chinese Adolescents.

Background: Shame-proneness, particularly in adolescence, is a critical psychological construct linked to aggressive behavior. This study addresses the gap in understanding the specific mechanisms of this relationship within the cultural context of Chinese adolescents.

Aim: The study aims to explore the mediating roles of hostility and externalization of blame in the connection between shame-proneness and aggression among Chinese adolescents.

The Bridge Between Childhood Trauma and Alexithymia Among Adolescents with Depressive and Bipolar Disorders: A Network Bridge Analysis.

Childhood trauma and alexithymia are significant risk factors for adolescent mental health issues. Prior research has linked these factors to psychopathology, but the complexities of their interrelation remain underexplored. This study aims to elucidate the relationship between various forms of childhood trauma and alexithymia in adolescents with depressive and bipolar disorders.

Refinement of efficient encodings of movement in the dorsolateral striatum throughout learning.

The striatum is required for normal action selection, movement, and sensorimotor learning. Although action-specific striatal ensembles have been well documented, it is not well understood how these ensembles are formed and how their dynamics may evolve throughout motor learning. Here we used longitudinal 2-photon Ca imaging of dorsal striatal neurons in head-fixed mice as they learned to self-generate locomotion.

Latent profile analysis of Eysenck's personality dimensions and psychological constructs in university students.

Background: The exploration of personality traits in relation to psychological constructs has become increasingly relevant in understanding the mental health of university students (the emerging adulthood). Studies have focused on how dimensions intersect with various psychological parameters.

Aim: The study aims to identify distinct personality profiles among university students based on Eysenck's personality dimensions and investigate how these profiles differ across psychological constructs.

Acacetin alleviates autoimmune myocarditis by regulating CD4+ T cell mitochondrial respiration.

Background: Myocarditis refers to an autoimmune inflammatory response of the myocardium with characterization of self-reactive CD4+ T cell activation, which lacks effective treatment and has a poor prognosis. Acacetin is a natural flavonoid product that has been reported to have anti-inflammatory effects. However, acacetin has not been investigated in myocarditis.

Unitig-centered pan-genome machine learning approach for predicting antibiotic resistance and discovering novel resistance genes in bacterial strains.

In current genomic research, the widely used methods for predicting antimicrobial resistance (AMR) often rely on prior knowledge of known AMR genes or reference genomes. However, these methods have limitations, potentially resulting in imprecise predictions owing to incomplete coverage of AMR mechanisms and genetic variations. To overcome these limitations, we propose a pan-genome-based machine learning approach to advance our understanding of AMR gene repertoires and uncover possible feature sets for precise AMR classification.

Mental toughness in adolescents: bridging family relationships and depression across personality traits.

Background: Adolescence is a pivotal stage vulnerable to mental health issues like anxiety and depression. While family relationships, mental toughness, and personality traits are known to impact adolescent mental health, their interactive and moderating roles are not fully understood.

Aim: This study aims to investigate the mediating role of mental toughness in the relationship between family relationships and depression among high school students, and to examine the varying impacts of personality traits on this mediation.

Cognitive control in honesty and dishonesty under different conflict scenarios: insights from reaction time.

This study investigated the role of cognitive control in moral decision-making, focusing on conflicts between financial temptations and the integrity of honesty. We employed a perceptual task by asking participants to identify which side of the diagonal contained more red dots within a square to provoke both honest and dishonest behaviors, tracking their reaction times (RTs). Participants encountered situations with no conflict, ambiguous conflict, and clear conflict.

Prognosticating Fetal Growth Restriction and Small for Gestational Age by Medical History.

This study aimed to develop and externally validate a prognostic prediction model for screening fetal growth restriction (FGR)/small for gestational age (SGA) using medical history. From a nationwide health insurance database (n=1,697,452), we retrospectively selected visits of 12-to-55-year-old females to healthcare providers. This study used machine learning (including deep learning) and 54 medical-history predictors.

Low- and high-level information analyses of transcriptome connecting endometrial-decidua-placental origin of preeclampsia subtypes: A preliminary study.

Background: Existing proposed pathogenesis for preeclampsia (PE) was only applied for early onset subtype and did not consider pre-pregnancy and competing risks. We aimed to decipher PE subtypes by identifying related transcriptome that represents endometrial maturation and histologic chorioamnionitis.

Methods: We utilized eight arrays of mRNA expression for discovery (n=289), and other eight arrays for validation (n=352).

Plasma metabolites of aromatic amino acids associate with clinical severity and gut microbiota of Parkinson's disease.

Gut microbial proteolytic metabolism has been reportedly altered in Parkinson's disease (PD). However, the circulating aromatic amino acids (AAA) described in PD are inconsistent. Here we aimed to investigate plasma AAA profiles in a large cohort of PD patients, and examine their correlations with clinical severity and gut microbiota changes.

Characterization and Comparative Analysis of the Complete Plastomes of Five (Epidendreae, Orchidaceae) Species.

, one of the three largest genera of Orchidaceae, exhibits significant horticultural and ornamental value and serves as an important research model in conservation, ecology, and evolutionary biology. Given the ambiguous identification of germplasm and complex evolutionary relationships within the genus, the complete plastome of this genus (including five species) were firstly sequenced and assembled to explore their characterizations. The plastomes exhibited a typical quadripartite structure.

Yeast cell detection using fuzzy automatic contrast enhancement (FACE) and you only look once (YOLO).

In contemporary biomedical research, the accurate automatic detection of cells within intricate microscopic imagery stands as a cornerstone for scientific advancement. Leveraging state-of-the-art deep learning techniques, this study introduces a novel amalgamation of Fuzzy Automatic Contrast Enhancement (FACE) and the You Only Look Once (YOLO) framework to address this critical challenge of automatic cell detection. Yeast cells, representing a vital component of the fungi family, hold profound significance in elucidating the intricacies of eukaryotic cells and human biology.

[Relationship between acupoint sensitization and changes in dorsal root ganglion neuron excitability in myocardial ischemia mice].

Objective: To investigate the relationship between the sensitization state of acupoints on the surface of the myocardial ischemia (MI) model mice and the changes in the electrophysiological properties of the dorsal root ganglion (DRG) neurons in the corresponding spinal cord segment, and its underlying mechanism.

Methods: Sixty-eight male C57BL/6J mice were randomly divided into control and model groups (34 mice in each group). The model group received an intraperitoneal injection of 160 mg/kg isoproterenol (ISO) to establish the MI model, and the control group received an injection of the same dose of normal saline as the model group.