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Dietary Phyllanthus Emblica inclusion regulates growth, serum biochemistry, organ histology, gene expression, and resistance against Aspergillus Flavus in Nile Tilapia (Oreochromis Niloticus)
Overexpression of Tn antigen induces chronic pancreatitis in mice
Abstract Altered O-glycosylation is a key contributor to various pathophysiological processes. Notably, the expression of the Tn antigen is primarily attributed to dysfunction of the chaperone Cosmc, while the overexpression of polypeptide N-acetylgalactosaminyltransferases (GalNAc-Ts) has also been implicated in numerous diseases. We generated a transgenic mouse model with conditional Cosmc-knockout and simultaneous overexpression of polypeptide N-acetylgalactosaminyltransferase 2 (GalNT2) mediated by the pancreas-specific transcription factor 1a (Ptf1a)-Cre mouse strain to investigate the effect of Tn antigen overexpression on the pancreas in vivo. Histopathological examination of the transgenic pancreas revealed a chronic pancreatitis phenotype with interlobular fibrosis and focal necrosis after only a few weeks as a result of Tn antigen overexpression. In the later stages, there was a progressive loss of pancreatic parenchyma with consecutive exocrine pancreatic insufficiency and malnutrition in the transgenic mice. Flow cytometric analyses have also confirmed that significant infiltration of immune cells occurs in the course of pancreatitis. In the transgenic mouse model presented here, we demonstrated that overexpression of the Tn antigen in the pancreas results in chronic pancreatitis, highlighting the pathophysiological importance of truncated O-glycosylation.
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.