Abstract:Brain-derived neurotrophic factor is an extensively studied neurotrophin implicated in the pathology of multiple neurodegenerative and psychiatric disorders including, but not limited to, Parkinson’s disease, Alzheimer’s disease, Huntington’s disease, traumatic brain injury, major de-pressive disorder, and schizophrenia. Here we provide a brief summary of current knowledge on the role of BDNF and the common human single nucleotide polymorphism, rs6265, in driving the pathogenesis and rehabilitation in these di… Show more
“…For example, certain genetic variations, such as single nucleotide polymorphisms (SNPs), in the BDNF gene have been linked to an increased risk of developing conditions like Alzheimer's disease, depression, schizophrenia, and bipolar disorder. 38,39 These variations may impact BDNF expression or protein function, leading to disrupted neurodevelopment or impaired synaptic plasticity. In uenced by the BDNF locus in chromosome 11, the circulating BDNF level participates in the severity of AD 40 .…”
As the incidence of Alzheimer's disease (AD) increases year by year, more people begin to study this disease. In recent years, many studies on reactive oxygen species (ROS), neuroinflammation, autophagy, and other fields have confirmed that hypoxia is closely related to AD. However, no researchers have used bioinformatics methods to study the relationship between AD and hypoxia. Therefore, our study aimed to screen the role of hypoxia-related genes in AD and clarify their diagnostic significance. A total of 7681 differentially expressed genes (DEGs) were identified in GSE33000 by differential expression analysis and cluster analysis. Weighted gene co-expression network analysis (WGCNA) was used to detect 9 modules and 205 hub genes with high correlation coefficients. Next, machine learning algorithms were applied to 205 hub genes and four key genes were selected. Through the verification of external dataset and quantitative real-time PCR (qRT-PCR), the AD diagnostic model was established by ANTXR2, BDNF and NFKBIA. The bioinformatics analysis results suggest that hypoxia-related genes may increase the risk of AD., However, more in-depth studies are still needed to investigate their association, This article would guide the insights and directions for further research.
“…For example, certain genetic variations, such as single nucleotide polymorphisms (SNPs), in the BDNF gene have been linked to an increased risk of developing conditions like Alzheimer's disease, depression, schizophrenia, and bipolar disorder. 38,39 These variations may impact BDNF expression or protein function, leading to disrupted neurodevelopment or impaired synaptic plasticity. In uenced by the BDNF locus in chromosome 11, the circulating BDNF level participates in the severity of AD 40 .…”
As the incidence of Alzheimer's disease (AD) increases year by year, more people begin to study this disease. In recent years, many studies on reactive oxygen species (ROS), neuroinflammation, autophagy, and other fields have confirmed that hypoxia is closely related to AD. However, no researchers have used bioinformatics methods to study the relationship between AD and hypoxia. Therefore, our study aimed to screen the role of hypoxia-related genes in AD and clarify their diagnostic significance. A total of 7681 differentially expressed genes (DEGs) were identified in GSE33000 by differential expression analysis and cluster analysis. Weighted gene co-expression network analysis (WGCNA) was used to detect 9 modules and 205 hub genes with high correlation coefficients. Next, machine learning algorithms were applied to 205 hub genes and four key genes were selected. Through the verification of external dataset and quantitative real-time PCR (qRT-PCR), the AD diagnostic model was established by ANTXR2, BDNF and NFKBIA. The bioinformatics analysis results suggest that hypoxia-related genes may increase the risk of AD., However, more in-depth studies are still needed to investigate their association, This article would guide the insights and directions for further research.
“…Physical activity can modify synaptic connectivity within the dopamine (DA)depleted striatum 35 , directly increasing stimulus-evoked DA release or decreasing DA decay, which improves behavioral outcomes in rodent neurotoxicant-induced models 36,37 . In addition, physical activity has been shown to suppress oxidative stress and promote the expression of neurotrophic factors 38 , thereby potentially attenuating dopaminergic neuron degeneration and contributing to the neuroplasticity and survival of dopaminergic neurons 39,40 . In contrast, EDS is thought to be a potential prodromal symptom of PD with similar neuropathological lesions.…”
Substantial evidence has shown that the age at onset (AAO) of Parkinson’s disease (PD) is a major determinant of clinical heterogeneity. However, the mechanisms underlying heterogeneity in the AAO remain largely unknown. To investigate the independent association of genetic and environmental risk factors with the AAO of PD and their combined effects at a genome-wide level. A total of 3,156 patients with PD from the UK Biobank were included in this study. We evaluated the environmental risk factors associated with AAO using the Mann–Whitney U test and a generalized linear model. We further investigated the effects of genetic factors using linear regression analysis and their interactions with environmental risk factors using genome-wide by environment interaction studies. In addition to identifying previously reported environmental risk factors (smoking, non-steroidal anti-inflammatory drug intake, and family history of PD) associated with AAO, we found novel significant associations of physical activity (p < 0.0001) and excessive daytime sleepiness (p < 0.0001) with the AAO of PD. Individuals with a higher genetic risk had younger AAO (p = 3.91e-05). Additionally, we observed a nominally significant interaction between the polygenic risk scores and smoking for AAO (p = 0.0316). Specifically, several gene including ANGPT1 (p = 7.17e-07) and PLEKHA6 (p = 4.87e-06), suggestively significantly interacted with smoking to influence the AAO. Our data suggests that both genetic and environmental risk factors are associated with the AAO of PD and that there is a potential interaction between the two.
“…Sortilin interacts with proBDNF and controls the activity-dependent release of BDNF in cortical neurons, processing and transporting BDNF into neurons (Ho et al 2019 ). However, it has been discovered that sortilin truncation mutations disrupt the sorting of BDNF to particular vesicles, impairing its appropriate transport and release (Szarowicz et al 2022 ). One of the several circumstances that can lead to the disruption of the sortilin-BDNF interaction is the presence of Met alteration in the prodomain area of BDNF, which has been shown to decrease sortilin's ability to bind to BDNF.…”
The brain-derived neurotrophic factor (BDNF) involves stress regulation and psychiatric disorders. The Val66Met polymorphism in the BDNF gene has been linked to altered protein function and susceptibility to stress-related conditions. This in silico analysis aimed to predict and analyze the consequences of the Val66Met mutation in the BDNF gene of stressed individuals. Computational techniques, including ab initio, comparative, and I-TASSER modeling, were used to evaluate the functional and stability effects of the Val66Met mutation in BDNF. The accuracy and reliability of the models were validated. Sequence alignment and secondary structure analysis compared amino acid residues and structural components. The phylogenetic analysis assessed the conservation of the mutation site. Functional and stability prediction analyses provided mixed results, suggesting potential effects on protein function and stability. Structural models revealed the importance of BDNF in key biological processes. Sequence alignment analysis showed the conservation of amino acid residues across species. Secondary structure analysis indicated minor differences between the wild-type and mutant forms. Phylogenetic analysis supported the evolutionary conservation of the mutation site. This computational study suggests that the Val66Met mutation in BDNF may have implications for protein stability, structural conformation, and function. Further experimental validation is needed to confirm these findings and elucidate the precise effects of this mutation on stress-related disorders.
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