Identification and immunological characterization of genes associated with ferroptosis in Alzheimer's disease and experimental demonstration.

 The incidence of Alzheimer's disease (AD) is rising globally, yet its treatment and prediction of this condition remain challenging due to the complex pathophysiological mechanisms associated with it. Consequently, the objective of the present study was to analyze and characterize the molecular mechanisms underlying ferroptosis­related genes (FEGs) in the pathogenesis of AD, as well as to construct a prognostic model. The findings will provide new insights for the future diagnosis and treatment of AD. First, the AD dataset GSE33000 from the Gene Expression Omnibus database and the FEGs from FerrDB were obtained. Next, unsupervised cluster analysis was used to obtain the FEGs that were most relevant to AD. Subsequently, enrichment analyses were performed on the FEGs to explore biological functions. Subsequently, the role of these genes in the immune microenvironment was elucidated through CIBERSORT. Then, the optimal machine learning was selected by comparing the performance of different machine learning models. To validate the prediction efficiency, the models were validated using nomograms, calibration curves, decision curve analysis and external datasets. Furthermore, the expression of FEGs between different groups was verified using reverse transcription quantitative PCR and western blot analysis. In AD, alterations in the expression of FEGs affect the aggregation and infiltration of certain immune cells. This indicated that the occurrence of AD is strongly associated with immune infiltration. Finally, the most appropriate machine learning models were selected, and AD diagnostic models and nomograms were built. The present study provided novel insights that enhance understanding with regard to the molecular mechanism of action of FEGs in AD. Moreover, the present study provided biomarkers that may facilitate the diagnosis of AD.

Effect of Zhuang Jing Decoction on Learning and Memory Ability in Aging Rats.

With the average life span of humans on the rise, aging in the world has drawn considerable attentions. The monoamine neurotransmitters and neurotrophic factors in brain areas are involved in learning and memory processes and are an essential part of normal synaptic neurotransmission and plasticity. In the present study, the effect of Zhuang Jing Decoction (ZJD) on the learning and memory ability in aging rats was examined in vivo using Morris water maze. Furthermore, the levels of monoamine neurotransmitters and neurotrophic factors in brain were detected by high-performance liquid chromatography with a fluorescence detector and enzyme-linked immunosorbent assay, respectively. These data showed that oral administration with ZJD at the dose of 30 g·kg(-1) exerted an improved effect on learning and memory ability in aging rats. The results revealed that ZJD could effectively adjust the monoamine neurotransmitters and neurotrophic factors, restore the balance of the level of monoamine neurotransmitters and neurotrophic factors in brain, and finally attenuate the degeneration of learning and memory ability. These findings suggested that ZJD might be a potential agent as cognitive-enhancing drug in improving learning and memory ability. It may exert through regulating the levels of monoamine neurotransmitters and neurotrophic factors in brain, which demonstrated that ZJD had certain antiaging effects.