Browse Articles

Integration of metabolomics and transcriptomics analyses reveals the effects of nano-selenium on pak choi

Ecological zone construction and multi-scenario simulation in Western China combining landscape ecological risk and ecosystem service value

Optimal age for screening lumbar osteoporosis in celiac disease

Molecular characterization of virulent genes in Pseudomonas aeruginosa based on componential usage divergence

Development and performance optimization of a taro (Colocasia esculenta) peeling machine for enhanced efficiency in small-scale farming

A new Similarity Based Adapted Louvain Algorithm (SIMBA) for active module identification in p-value attributed biological networks

Distinct prognostic implications of blood neuronal and astroglial biomarkers in neuromyelitis optica spectrum disorders versus multiple sclerosis

Experimental modeling of changes in geomechanical parameters of reservoir rock during water flooding operations

Revisiting low-frequency ferromagnetic resonance in yttrium iron garnet thin films

Sustainability in construction economics as a barrier to cloud computing adoption in small-scale Building projects

A predictive nomogram based on triglyceride glucose index to body mass index ratio for low appendicular skeletal muscle mass

Loneliness and biomarkers of brain pathology in people with subjective cognitive decline

Abstract Loneliness is a neuropsychiatric symptom that has been associated with cognitive impairment and dementia. We aimed to investigate whether depressive symptomatology and biomarkers of Alzheimer’s disease (AD) and cerebrovascular disease (CVD) are associated with loneliness. Secondly, we aimed to investigate whether loneliness, depressive symptomatology, and biomarkers of AD and CVD are associated with subjective cognitive decline (SCD). We included 215 cognitively unimpaired participants (70 y/o) with cerebrospinal fluid biomarkers, magnetic resonance imaging, and questionnaires for loneliness, depressive symptomatology, and SCD. For aim 1, our findings showed that CVD and depressive symptomatology were the most relevant measures to discriminate people with loneliness. For aim 2, a random forest classification model showed that loneliness contributed to discriminate individuals with SCD, but logistic regression showed that its partial predictive effect was non-significant when depressive symptomatology and AD biomarkers were included in the models. We conclude that loneliness is associated with SCD, CVD, and depressive symptomatology. Given the complex interplay between loneliness, depressive symptomatology, and SCD, more research is needed to fully clarify the unique role of each neuropsychiatric symptom in relation to biomarkers of brain pathology.

Study on the fracture characteristics of overlying rock strata under different mining face widths

A prospective multicenter phase III clinical trial evaluating the efficacy and safety of silk elastin sponge in patients with skin defects

Thermomechanical analyses and ANN modeling of novel epoxy adhesives with CSR particles and zinc oxide nanoparticles in structural bonding

Level of personality functioning and maladaptive personality traits in relation to depression and anxiety symptoms in middle and older adults

Experiment study on UAV target detection algorithm based on YOLOv8n-ACW

Effect of surface inclination and gluteus maximus activation on lumbar lordosis and footpronation in individuals with low back pain with extension pattern: a preliminary study

The interactive role of odor associations in friendship preferences

Nematicidal and antifeedant activity of ethyl acetate extracts from culture filtrates of Arabidopsis thaliana fungal endophytes

Abstract Endophytic fungi produce a diverse range of bioactive secondary metabolites with potential applications in biopesticide development. This study investigates the nematicidal and antifeedant properties of ethyl acetate extracts from endophytic fungi isolated from wild Arabidopsis thaliana populations in Spain. The extracts were tested against the plant-parasitic nematode Meloidogyne javanica , and two common insect pests, Myzus persicae and Spodoptera littoralis . Nine of the 13 extracts demonstrated significant nematicidal and/or antifeedant activity, indicating their potential as biopesticides. The active extracts were derived from six genera: Alternaria (3 isolates), Dydimella (1), Dothiora (1), Pleiochaeta (1), Penicillium (1), and Fusarium (2). Five extracts exhibited nematicidal activity above 90%, with three reducing the total number of M. javanica second-stage juveniles hatched from egg masses by 22–37%. Four extracts showed strong settling inhibition (> 70%) against M. persicae , and three exhibited feeding inhibition against S. littoralis . Chemical analysis by GC-MS and LC-MS revealed a wide array of unique secondary metabolites in the active extracts, reflecting substantial chemical diversity, regardless of the fungal origin. This study highlights the potential of fungal endophytes from A. thaliana as sources of novel biopesticides, paving the way for future research focused on harnessing these fungi for biopesticide development.