Complete genome sequence of , the causal agent of goldthread anthracnose disease.

The complete genome sequence of , a goldthread anthracnose pathogen, was sequenced using PacBio Revio and MGI DNBSEQ-T7 PE150. It contains 10 chromosomes, 5 mini chromosomes, a circular mitochondrial chromosome, and 13,129 genes predicted with RNA-Seq data in a 52.13-Mb genome with an of 5.

Associations of ventriculomegaly and white matter hyperintensities with glymphatic dysfunction in idiopathic normal pressure hydrocephalus.

Objectives: To investigate glymphatic function in idiopathic normal pressure hydrocephalus (iNPH) using the diffusion tensor image analysis along the perivascular space (DTI-ALPS) method and to explore the associations of ALPS index with ventriculomegaly and white matter hyperintensities (WMH).

Materials And Methods: This study included 41 patients with iNPH and 40 age- and sex-matched normal controls (NCs). All participants underwent brain MRI.

Landscapes of gut microbiome and blood metabolomic signatures in relapsing remitting multiple sclerosis.

Although disturbances in the gut microbiome have been implicated in multiple sclerosis (MS), little is known about the changes and interactions between the gut microbiome and blood metabolome, and how these changes affect disease-modifying therapy (DMT) in preventing the progression of MS. In this study, the structure and composition of the gut microbiota were evaluated using 16S rRNA gene sequencing and an untargeted metabolomics approach was used to compare the serum metabolite profiles from patients with relapsing-remitting MS (RRMS) and healthy controls (HCs). Results indicated that RRMS was characterized by phase-dependent α-phylogenetic diversity and significant disturbances in serum glycerophospholipid metabolism.

CD38-mediated oxytocin signaling in paraventricular nucleus contributes to empathic pain.

Empathy plays a crucial role in social communication and the perception of affective states and behavioral processes. In this study, we observed that empathic interaction with a mouse experiencing pain resulted in decreased mechanical pain thresholds and anxiety-like behaviors in its bystander, though the underlying mechanisms remain unknown. We demonstrated that CD38 expression in the paraventricular nucleus (PVN) was upregulated during empathic pain, and the pain and emotions of CD38 knockout (CD38KO) mice as bystanders were not affected.

Metabolomic and proteomic profiling of a burn-hemorrhagic shock swine model reveals a metabolomic signature associated with fatal outcomes.

Background: Burn-hemorrhagic shock combined injury, a severe condition causing complex stress responses and metabolic disturbances that significantly affect clinical outcomes in both military and civilian settings, was modeled in swine to investigate the associated metabolomic and proteomic changes and identify potential biomarkers for disease prognosis.

Methods: Eight clean-grade adult male Landrace pigs (4-5 months, average weight 60-70 kg) were used to model burn-hemorrhagic shock combined injury. Serum samples collected at 0 h and 2 h post-injury were analyzed using metabolomic and proteomic measurements.

Efficacy of combination scalp acupuncture for post-stroke cognitive impairment: a systematic review and meta-analysis.

Objective: This systematic review and meta-analysis aimed to evaluate the efficacy of combination scalp acupuncture in treating post-stroke cognitive impairment.

Methods: A comprehensive search was conducted across eight databases: PubMed, Web of Science, Cochrane Database, Embase, CBM, CNKI, WanFang, and VIP, targeting randomized controlled trials (RCTs) published from the inception of these databases until October 24, 2024. The inclusion criteria focused on RCTs that compared scalp acupuncture with conventional treatments as therapeutic interventions for patients suffering from post-stroke cognitive impairment (PSCI).

Colorectal cancer screening based on fecal immunochemical test and risk assessment: a population-based study including two million participants in China.

Background: The fecal immunochemical test (FIT) has been widely used in colorectal cancer (CRC) screening, yet the practical performance of FIT combined with questionnaire-based risk assessment (QRA) remains undetermined. Moreover, risk factors for distinct CRC precursors identified in screening have been rarely compared.

Methods: This study was based on a population-based CRC screening in China, with 2,120,340 participants completing both FIT and QRA.

CancerPro: deciphering the pan-cancer prognostic landscape through combinatorial enrichment analysis and knowledge network insights.

Gene expression levels serve as valuable markers for assessing prognosis in cancer patients. To understand the mechanisms underlying prognosis and explore potential therapeutics across diverse cancers, we developed CancerPro (https:/medcode.link/cancerpro).

Associations Between Sprint Mechanical Properties and Change of Direction Ability and Asymmetries in COD Speed Performance in Basketball and Volleyball Players.

This study aimed to assess the associations between sprint force-velocity profile variables with change of direction (COD) performance and to investigate the impact of these variables on asymmetries in COD speed performance. Ninety-nine participants (volleyball players: n = 44, basketball players: n = 55) performed 40 m sprints for Fv relationship calculation, two COD tests (Modified Agility T-test and 505 test). A partial least squares (PLS) regression analysis was conducted to determine the relationships between the variables.

One or two? Comparison of the cardiorenal effects between combination therapy and monotherapy with SGLT2i or GLP1RA.

Objective: This study aimed to evaluate the cardiorenal effect of combining sodium-glucose cotransporter 2 inhibitors (SGLT2i) and glucagon-like peptide-1 receptor agonists (GLP-1RA) when compared with monotherapy of either agent in patients with type 2 diabetes (T2D).

Methods: PubMed, Web of Science, Embase, the Cochrane Central Register of Controlled Trials and Clinicaltrial.gov were systematically searched from inception to June 2024.

Discovery and functional characterization of two novel glycosyltransferases associated with the biosynthesis of α-hederin in Dipsacus asperoides.

Triterpenoid saponins are crucial natural products widely distributed in various medicinal plants, with Dipsacus asperoides being particularly rich in these compounds. However, the glycosyltransferases responsible for the biosynthesis of α-hederin, one of the primary bioactive secondary metabolites in D. asperoides, have not been elucidated.

Sports-Related Genomic Predictors Are Associated with Athlete Status in Chinese Sprint/Power Athletes.

The aim of this study was to assess the relationship between variant loci significantly associated with sports-related traits in the GWAS Catalog database and sprint/power athlete status, as well as to explore the polygenic profile of elite athletes. Next-generation sequencing and microarray technology were used to genotype samples from 211 elite athletes who had achieved success in national or international competitions in power-based sports and from 522 non-athletes, who were healthy university students with no history of professional sports training. Variant loci collected from databases were extracted after imputation.

Transcriptomic Analysis of the CNL Gene Family in the Resistant Rice Cultivar IR28 in Response to Infection.

Rice false smut, caused by , threatens rice production by reducing yields and contaminating grains with harmful ustiloxins. However, studies on resistance genes are scarce. In this study, the resistance level of IR28 (resistant cultivar) to was validated through artificial inoculation.

The weight reduction mediated by anti-obesity medication and the cardiovascular outcome.

The association between anti-obesity medications (AOMs) as well as their weight-loss effects and cardiovascular outcomes need to be comprehensively investigated. We searched PubMed, Embase, the Cochrane Center Register of Controlled Trials for Studies, and Clinicaltrial.gov website from the inception to April 2024 and included 129 randomized controlled trials (RCTs) of AOMs.

Diversified crop rotations improve soil microbial communities and functions in a six-year field experiment.

Diversified crop rotations can help mitigate the negative impacts of increased agricultural intensity on the sustainability of agroecosystems. However, the impact of crop rotation diversity on the complexity of soil microbial association networks and ecological functions is still not well understood. In this study, a 6-year field experiment was conducted to evaluate how six different crop rotations change the composition and network complexity of soil microbial communities, as well as their related ecological functions.

Isotope-Labeled Chemoselective Probes for Labeling, Separation, and Comprehensive Quantitative Analysis of Sub-Metabolome.

The significance of small molecule metabolites as biomarkers for disease diagnosis and prognosis is growing increasingly evident, necessitating the development of highly sensitive qualitative and quantitative methods. Herein, multi-chemoselective probes are synthesized and applied for profiling metabolites, including carboxyl, phosphate, hydroxyl, amino, thiol, and carbonyl compounds. This approach seamlessly integrates magnetic solid-phase materials, orthogonal cleavage sites, isotopic tags, and selective coupling sites, minimizes matrix interference, and enhances quantitative accuracy.

Deciphering the impact of aggregated autophagy-related genes TUBA1B and HSP90AA1 on colorectal cancer evolution: a single-cell sequencing study of the tumor microenvironment.

Background: Colorectal cancer (CRC) is the third most prevalent cancer worldwide, with the tumor microenvironment (TME) playing a crucial role in its progression. Aggregated autophagy (AA) has been recognized as a factor that exacerbates CRC progression. This study aims to study the relationship between aggregated autophagy and CRC using single-cell sequencing techniques.

A Multibranch Neural Network for Drug-Target Affinity Prediction Using Similarity Information.

Predicting drug-target affinity (DTA) is beneficial for accelerating drug discovery. In recent years, graph structure-based deep learning models have garnered significant attention in this field. However, these models typically handle drug or target protein in isolation and only extract the molecular structure information on the drug or protein itself.