CircZmMED16 delays plant flowering by negatively regulating starch content through its binding to ZmAPS1.

Circular RNAs (circRNAs), a type of head-to-tail closed RNA molecules, have been implicated in various aspects of plant development and stress responses through transcriptome sequencing; however, the precise functional roles of circRNAs in plants remain poorly understood. In this study, we identified a highly expressed circular RNA, circZmMED16, derived from exon 8 of the mediator complex subunit 16 (ZmMED16) across different maize (Zea mays L.) inbred lines using circRNA-seq analysis.

RNASEK interacting with PEDV structural proteins facilitates virus entry via clathrin-mediated endocytosis.

Porcine epidemic diarrhea virus (PEDV), as a type of Alphacoronavirus causing acute diarrhea and high death rate among sucking piglets, poses great financial damage to the swine industry. Nevertheless, the molecular mechanism whereby PEDV enters host cells is unclear, limiting the development of PED vaccines and anti-PEDV agents. The present study found that the host protein ribonuclease kappa (RNASEK) was regulated by USF2, a transcription factor, and facilitated the PEDV replication.

Mixed representations of choice direction and outcome by GABA/glutamate cotransmitting neurons in the entopeduncular nucleus.

The basal ganglia (BG) are an evolutionarily conserved and phylogenetically old set of sub-cortical nuclei that guide action selection, evaluation, and reinforcement. The entopeduncular nucleus (EP) is a major BG output nucleus that contains a population of GABA/glutamate cotransmitting neurons (EP) that specifically target the lateral habenula (LHb) and whose function in behavior remains mysterious. Here, we use a probabilistic switching task that requires an animal to maintain flexible relationships between action selection and evaluation to examine when and how GABA/glutamate cotransmitting neurons contribute to behavior.

The accumulation of myeloid-derived suppressor cells participates in abdominal infection-induced tumor progression through the PD-L1/PD-1 axis.

Gastric cancer (GC) is the third leading cause of cancer-related deaths worldwide, with gastrectomy being the primary treatment option. Sepsis, a systemic inflammatory response to infection, may influence tumor growth by creating an immunosuppressive environment conducive to cancer cell proliferation and metastasis. Here, the effect of abdominal infection on tumor growth and metastasis was investigated through the implementation of a peritoneal metastasis model and a subcutaneous tumor model.

Comparison between minimally invasive surgery and open surgery in managing localized adrenocortical carcinoma treatment: A retrospective propensity-matched study.

Background: It was controversial to use open surgery or minimally invasive surgery (MIS) for adrenocortical carcinoma (ACC). This retrospective study aimed to evaluate the impact on prognosis between MIS and open surgery in patients with clinical stage I-II ACC.

Methods: Patients with stage I-II ACC from December 2000 to October 2022 were retrospectively studied.

Disrupted Paraventricular Hypothalamic Nucleus Functional Connectivity in Parkinson's Disease With Constipation.

Background: Constipation is one of the most common non-motor symptoms in patients with Parkinson's disease (PD), which could manifest during the early stage of the disease. However, the etiology of constipation in PD remains largely unknown. Previous studies supported that gastrointestinal dysfunction may be associated with functional connectivity alterations in paraventricular hypothalamic nucleus (PVN).

Analysis of related factors for systemic lupus erythematosus flare after SARS-Cov-2 infection: A retrospective cohort study.

Objective: Since COVID-19 infections are more common in systemic lupus erythematosus (SLE) patients, most recent research has focused on the outcome of COVID-19, with fewer studies on disease activity in SLE. This research aims to evaluate flares in SLE with COVID-19 infection while investigating predictive factors.

Methods: A questionnaire survey was conducted to collect information on patients with previously diagnosed SLE from multi-center.

Self-Organized Protonic Conductive Nanochannel Arrays for Ultra-High-Density Data Storage.

While the highest-performing memristors currently available offer superior storage density and energy efficiency, their large-scale integration is hindered by the random distribution of filaments and nonuniform resistive switching in memory cells. Here, we demonstrate the self-organized synthesis of a type of two-dimensional protonic coordination polymers with high crystallinity and porosity. Hydrogen-bond networks containing proton carriers along its nanochannels enable uniform resistive switching down to the subnanoscale range.

transcription factor AP2-06B is mutated at high frequency in Southeast Asia but does not associate with drug resistance.

Introduction: A continuing challenge for malaria control is the ability of to develop resistance to antimalarial drugs. Members within the transcription factor family AP2 regulate the growth and development of the parasite, and are also thought to be involved in unclear aspects of drug resistance. Here we screened for single nucleotide polymorphisms (SNPs) within the AP2 family and identified 6 non-synonymous mutations within AP2-06B (PF3D7_0613800), with allele frequencies greater than 0.

Altered lumbo-pelvic-hip complex muscle morphometry and contraction change in postpartum pelvic girdle pain and asymptomatic subjects: a cross-sectional study.

Objective: Lumbo-pelvic-hip complex muscle training is considered a crucial component of exercise rehabilitation for postpartum women with pelvic girdle pain (PGP). However, there is a paucity of research evidence regarding the morphological changes and contraction function of these muscles in postpartum women with PGP. Understanding the alterations in lumbo-pelvic-hip complex muscles function associated with PGP, is crucial for tailoring effective rehabilitation strategies and promoting optimal postpartum recovery.

High-quality targeted temperature management combined with decompressive craniectomy in patients with poor-grade aneurysmal subarachnoid hemorrhage: a secondary analysis of a multicenter prospective study.

Background: The effect of targeted temperature management (TTM) combined with decompressive craniectomy (DC) on poor-grade aneurysmal subarachnoid hemorrhage (aSAH) has not been previously addressed in the literature. This study aims to investigate the therapeutic outcomes of the combination of TTM and DC in patients with poor-grade aSAH.

Methods: This study represents a secondary analysis of the Multicenter Clinical Research on Targeted Temperature Management of Poor-grade Aneurysmal Subarachnoid Hemorrhage (High-Quality TTM for PaSAH), a multicenter prospective study conducted in China.

Chemokine family significance and prognostic value in colorectal cancer.

Background: Colorectal cancer (CRC) poses a substantial global health concern, exhibits inconspicuous early symptoms, and is typically diagnosed at advanced stages leading to unfavorable outcomes. The intricate tumor microenvironment plays a crucial role in CRC development and progression, where chemokines contribute significantly. These chemokines exhibit widespread expression within tumor cells, facilitating immune cell infiltration, angiogenesis, and the establishment of distant metastases.

Predicting the risk of gastroparesis in critically ill patients after CME using an interpretable machine learning algorithm - a 10-year multicenter retrospective study.

Background: Gastroparesis following complete mesocolic excision (CME) can precipitate a cascade of severe complications, which may significantly hinder postoperative recovery and diminish the patient's quality of life. In the present study, four advanced machine learning algorithms-Extreme Gradient Boosting (XGBoost), Random Forest (RF), Support Vector Machine (SVM), and -nearest neighbor (KNN)-were employed to develop predictive models. The clinical data of critically ill patients transferred to the intensive care unit (ICU) post-CME were meticulously analyzed to identify key risk factors associated with the development of gastroparesis.

Case report: Electrical impedance tomography-guided ventilator weaning in an obese patient with severe pneumonia.

Background: Electrical impedance tomography (EIT) evaluates lung function by providing continuous, real-time monitoring of regional lung ventilation distribution to guide the restoration of lung ventilation. Patients with obesity who are dependent on mechanical ventilation often struggle with weaning. This case report highlights the potential of EIT to guide the weaning of ventilator-dependent patients in an obese patient with severe pneumonia.

Harnessing artificial intelligence in sepsis care: advances in early detection, personalized treatment, and real-time monitoring.

Sepsis remains a leading cause of morbidity and mortality worldwide due to its rapid progression and heterogeneous nature. This review explores the potential of Artificial Intelligence (AI) to transform sepsis management, from early detection to personalized treatment and real-time monitoring. AI, particularly through machine learning (ML) techniques such as random forest models and deep learning algorithms, has shown promise in analyzing electronic health record (EHR) data to identify patterns that enable early sepsis detection.

Aurora kinase A promotes hepatic stellate cell activation and liver fibrosis through the Wnt/β-catenin pathway.

Aims: Aurora kinase A (AURKA) has been implicated in promoting myeloid and renal fibrosis. This study aimed to investigate the impact and underlying mechanism of AURKA on liver fibrosis and to assess the therapeutic potential of MLN8237, a small-molecule AURKA inhibitor, in preventing liver fibrosis in mice.

Methods: The research used bioinformatics analysis and immunohistochemistry staining on fibrotic liver tissues from human and mouse models to assess AURKA expression.

Physicochemical profiles of mixed ruminal microbes in response to surface tension and specific surface area.

Introduction: In ruminants, a symbiotic rumen microbiota is responsible for supporting the digestion of dietary fiber and contributes to health traits closely associated with meat and milk quality. A holistic view of the physicochemical profiles of mixed rumen microbiota (MRM) is not well-illustrated.

Methods: The experiment was performed with a 3 × 4 factorial arrangement of the specific surface area (SSA: 3.

Danlian-Tongmai formula improves diabetic vascular calcification by regulating CCN3/NOTCH signal axis to inhibit inflammatory reaction.

Background: Vascular calcification (VC) commonly occurs in diabetes and is associated with cardiovascular disease incidence and mortality. Currently, there is no drug treatment for VC. The Danlian-Tongmai formula (DLTM) is a traditional Chinese medicine (TCM) prescription used for diabetic VC (DVC), but its mechanisms of action remain unclear.

Characterization of rhizosphere bacterial communities in oilseed rape cultivars with different susceptibility to infection.

Rhizosphere microbiomes are constantly mobilized during plant-pathogen interactions, and this, in turn, affects their interactions. However, few studies have examined the activities of rhizosphere microbiomes in plants with different susceptibilities to soil-borne pathogens, especially those that cause clubroot disease. In this study, we compared the rhizosphere bacterial community in response to infection of among the four different clubroot susceptibility cultivars of oilseed rape ().

Microsatellite and Mitochondrial COI Provide Novel Insights Into the Population Genetic Structure of White Prunicola Scale () in China.

The white prunicola scale (Maskell) is an important pest of fruit and ornamental plants, characterised by its wide distribution, broad host range and distinct biological traits. In this study, a comprehensive population genetic analysis of in China was conducted, focusing on genetic diversity, genetic structure, relationships among geographical populations, and population dynamics. Microsatellite molecular and mitochondrial COI markers were used to examine the genetic diversity and structure of 19 populations across 10 provinces in China.

Nest Site Selection by Green Sea Turtles () and Implications for Conservation on Qilianyu, Xisha Islands, South China Sea.

The green sea turtle () is the only sea turtle species that breeds in China, and the largest remaining nesting grounds for green sea turtles in Chinese waters is found on the Qilianyu atoll of the Xisha Islands. Nesting site selection is particularly important for egg survival, and understanding the microhabitat characteristics of green sea turtle nesting sites is crucial for delineating priority conservation areas for nesting grounds. In this study, we aimed to examine the role of several microhabitat ecological factors in the selection of nesting sites and the success of nesting.

Novel mutations related to simultaneous congenital nephropathy and ovarian insufficiency.

Nucleoporins, as major components of nuclear pore complex, have been recently discovered to participate in organ development. Here, we report a young female patient with nephrotic proteinuria resistant to immune suppressant treatment and congenital ovarian insufficiency. Renal pathology confirmed focal segmental glomerulosclerosis and whole-exome sequencing revealed compound heterozygous mutations in Nucleoporin 160 (), NM_015231.

TransferBAN-Syn: a transfer learning-based algorithm for predicting synergistic drug combinations against echinococcosis.

Echinococcosis is a zoonotic parasitic disease caused by the larvae of echinococcus tapeworms infesting the human body. Drug combination therapy is highly valued for the treatment of echinococcosis because of its potential to overcome resistance and enhance the response to existing drugs. Traditional methods of identifying drug combinations via biological experimentation is costly and time-consuming.

Construction of an Interpretable Model of the Risk of Post-Traumatic Brain Infarction Based on Machine Learning Algorithms: A Retrospective Study.

Background: Post-traumatic cerebral infarction (PTCI) is a severe complication resulting from traumatic brain injury (TBI), which can lead to permanent neurological damage or death. The investigation of the factors associated with PTCI and the establishment of predictive models are crucial for clinical practice.

Methods: We made a retrospective analysis of clinical data from 1484 TBI patients admitted to the Neurosurgery Department of a provincial hospital from January 2018 to December 2023.

Peptide platform for 3D-printed Ti implants with synergistic antibacterial and osteogenic functions to enhance osseointegration.

Bone defects caused by trauma, infection, or tumors present a major clinical challenge. Titanium (Ti) implants are widely used due to their excellent mechanical properties and biocompatibility; however, their high elastic modulus, low surface bioactivity, and susceptibility to infection hinder osseointegration and increase failure rates. There is an increasing demand for implants that can resist bacterial infection while promoting osseointegration.