Genome-Wide Identification and Expression Analysis of WRKY Gene Family in Neolamarckia cadamba.

The WRKY transcription factor family plays important regulatory roles in multiple biological processes in higher plants. They have been identified and functionally characterized in a number of plant species, but very little is known in Neolamarckia cadamba, a 'miracle tree' for its fast growth and potential medicinal resource in Southeast Asia. In this study, a total of 85 WRKY genes were identified in the genome of N. cadamba. They were divided into three groups according to their phylogenetic features, with the support of the characteristics of gene structures and conserved motifs of protein. The NcWRKY genes were unevenly distributed on 22 chromosomes, and there were two pairs of segmentally duplicated events. In addition, a number of putative cis-elements were identified in the promoter regions, of which hormone- and stress-related elements were shared in many NcWRKYs. The transcript levels of NcWRKY were analyzed using the RNA-seq data, revealing distinct expression patterns in various tissues and at different stages of vascular development. Furthermore, 16 and 12 NcWRKY genes were confirmed to respond to various hormone treatments and two different abiotic stress treatments, respectively. Moreover, the content of cadambine, the active metabolite used for the various pharmacological activities found in N. cadamba, significantly increased after Methyl jasmonate treatment. In addition, expression of NcWRKY64/74 was obviously upregulated, suggesting that they may have a potential function of regulating the biosynthesis of cadambine in response to MeJA. Taken together, this study provides clues into the regulatory roles of the WRKY gene family in N. cadamba.

Clinical value of neutrophil to lymphocyte ratio and ultrasonic parameters in the diagnosis of bladder outlet obstruction in benign prostatic hyperplasia.

AIM: This study aimed to investigate the clinical significance of neutrophil-to-lymphocyte ratio and ultrasonic parameters in diagnosing bladder outlet obstruction in patients with benign prostatic hyperplasia. MATERIAL: Between September 2022 and January 2024, a total of 106 patients with benign prostatic hyperplasia were collected from Hongqi Hospital affiliated to Mudanjiang Medical University followed by urodynamic testing. The patients were categorized into three groups based on the International Prostate Symptom Score: mild (45 cases), moderate (36 cases), and severe (25 cases). Thirty-five healthy men were recruited at the hospital as a control group. All patients had blood tests and ultrasound scans. RESULTS: Neutrophil-to-lymphocyte ratio, detrusor wall thickness, detrusor muscle elastic modulus, internal gland elastic modulus, intravesical prostatic protrusion, and post-voiding residual volume were significantly correlated with the bladder outlet obstruction stage and showed good diagnostic efficiency (all P<0.05. There was no statistically significant difference observed in the external gland elastic modulus between the experimental group and the control group (P>0.05). CONCLUSIONS: The neutrophil-to-lymphocyte ratio, detrusor wall thickness, elastic modulus of the detrusor and glandular gland may hold clinical significance for diagnosing bladder outlet obstruction resulting from benign prostatic hyperplasia.

Subtypes of borderline personality features in adolescence: Insights from cross-lagged panel network analysis.

Borderline personality disorder (BPD) is a complex and severe psychiatric condition characterized by emotional, self-image, behavior, and relational instability. While adult BPD heterogeneity has been extensively studied, the phenomenological borderline personality features (BPFs) in adolescence remain uninvestigated. This study aimed to explore the potentially dynamic causal relationships between BPFs in adolescence and identify the subtypes through cross-lagged panel network (CLPN) analysis. Two independent Chinese adolescent samples were followed over 18 months (N1 = 1,056, M1age = 15.37, SD1 = 1.86) and 6 months (N2 = 723, M2age = 16.84, SD2 = 0.48) to track BPFs. CLPN modeling was employed to investigate the stability, potential causal relations, and subtypes of adolescent BPFs. The results revealed a relatively stable overall adolescent BPF network structure with some subtle changes over time. Impulsivity emerged as the BPF with the highest out-expected influence, indicating its predictive role for other BPFs. A strong reciprocal causal relationship was observed between impulsivity and affective instability. Based on the CLPN estimation, two distinct BPFs subgroups were spontaneously clustered: externalized-dysregulation subtype (impulsivity, affective instability, and self-harm/suicide) and introjective-disturbance subtype (identity disturbance, chronic emptiness, and stress-related dissociation). The present study tentatively explores a potential typology for adolescent BPF based on these two clusters, which possibly have different pathological mechanisms, and moreover offer insights into the essential construct and clinical intervention of adolescent BPD. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Raman spectroscopy based identification of flame retardants in consumer products using an acquired reference spectral library.

Flame retardants (FRs), a class of commonly used chemical additives in consumer products such as polyurethane foams, are well known for their persistence in the environment, bioaccumulation and potential toxicity [1]. In order to address the potential health concerns and environmental impacts associated with the wide-spread use these chemicals, it is essential to identify them efficiently in the environment and consumer products. Raman spectroscopy (RS) offers an attractive option for the non-invasive, in-situ identification of flame retardants in a variety of sample formats [2-4]. RS based chemical identification relies on the availability of spectral libraries for identification through spectral matching with reference chemicals. Here we present the application of Raman spectroscopy for identifying FR additives in select consumer products using an acquired spectral library of commonly used FRs. The RS based method described here enables simultaneous identification of multiple components within a sample, which can offer important insights into the sources of FR contamination, in addition to identification of the FR component itself. The availability of Raman spectral library of commercially used FRs, such as the one presented here, will facilitate the identification of these chemicals in consumer products.

Temporal motifs reveal collaboration patterns in online task-oriented networks.

Real networks feature layers of interactions and complexity. In them, different types of nodes can interact with each other via a variety of events. Examples of this complexity are task-oriented social networks (TOSNs), where teams of people share tasks towards creating a quality artifact, such as academic research papers or software development in commercial or open source environments. Accomplishing those tasks involves both work, e.g., writing the papers or code, and communication, to discuss and coordinate. Taking into account the different types of activities and how they alternate over time can result in much more precise understanding of the TOSNs behaviors and outcomes. That calls for modeling techniques that can accommodate both node and link heterogeneity as well as temporal change. In this paper, we report on methodology for finding temporal motifs in TOSNs, limited to a system of two people and an artifact. We apply the methods to publicly available data of TOSNs from 31 Open Source Software projects. We find that these temporal motifs are enriched in the observed data. When applied to software development outcome, temporal motifs reveal a distinct dependency between collaboration and communication in the code writing process. Moreover, we show that models based on temporal motifs can be used to more precisely relate both individual developer centrality and team cohesion to programmer productivity than models based on aggregated TOSNs.