Parkinson disease is the second most common neurodegenerative disorder. Therefore, it is worthwhile to search for important molecular markers and pathways that hold great promise for further treatment of patients with Parkinson’s disease. DNA-microarray-based technologies allow simultaneous analysis of expression of thousands of genes. Here, we performed a comprehensive gene level assessment of Parkinson’s disease using 16 colorectal cancer samples and nine normal samples. The results show that SLC6A3, SLC18A2, and EN1, etc., are related to Parkinson’s disease. Besides, we further mined the underlying molecular mechanism within these different genes. The results indicate that tyrosine metabolism pathway and Parkinson's disease pathway were two significant pathways, with hope to provide insights into the development of novel therapeutic targets and pathways. Key words: Microarrays, graph-cluster, Parkinson’s disease, gene ontology (GO), pathway.
The present study aims to investigate the unknown relationship between inhibitory control and repetitive subconcussion induced by the indirect brain impacts. We enrolled 28 parachuters exposed to repetitive subconcussion (SC) and 27 matched health controls (HC). Parachuters who have completed at least 70 actual parachuting (71-112 times) and at least 1500 simulated platform jumps (1500-4500 times) were included in the SC group. The SC group had a reduced accuracy rate in both the Stroop congruent and incongruent conditions. Larger N2 and N450 amplitudes were elicited in the frontal regions of the SC group, which indicate compensatory adaptations to the deficit in conflict monitoring. The reduced frontal resting-state EEG complexity in full-band (1-40 Hz) may demonstrate the frontal structural damage following the indirect brain impacts of repetitive subconcussion. Pearson correlation analysis showed that in the SC group, the frontal beta-band sample entropy values are positively correlated with the accuracy rate of the Stroop incongruent condition, suggesting the frontal beta-band sample entropy values may serve as potential electrophysiological markers of impaired inhibitory control after indirectly repetitive brain impacts. This study provides the robust evidence that repetitive subconcussion resulting from indirect brain impacts may lead to impairment of inhibitory control.
ABSTRACT Background and Objective Prolactinomas may cause drastic hormone fluctuations throughout the body. It is not fully understood how endogenous hormone disorders such as prolactinomas reshape the patient’s brain. By employing the resting-state functional magnetic resonance imaging technique, we aimed to investigate the whole-brain functional connectivity (FC) and its relationship with hormone levels in patients with prolactinomas. Methods Using whole-brain and seed-based functional connectivity analyses, we compared FC metrics between 33 prolactinoma patients and 31 healthy controls matched with age, sex, and handedness. Then we performed partial correlation analysis to examine the relationship between FC metrics and hormone levels. Results Compared to healthy controls, we found that prolactinoma patients showed significantly increased thalamocortical (visual cortex) and cerebellar-cerebral connectivity. In addition, endogenous hormone levels were positively correlated with the increased FC, and the hormone-FC relationships showed sex difference in prolactinoma patients. Conclusions Our findings are the first to reveal the altered FC patterns and sex-dependent hormone-FC relationships in prolactinoma patients, indicating the important role of hormone levels in the neural mechanism of brain reorganization and hyperactive intrinsic connections in prolactinomas.
Background Total bilirubin (TBIL) has antioxidant and anti-inflammatory properties. This study aimed to determine whether elevated TBIL could modify the association between diabetes and stroke. Method Data were obtained from the National Health and Nutrition Examination Survey 2011–2016. TBIL was stratified by median (10.3 µmol/L). The association between diabetes and stroke was quantified using multivariable logistic regression models. The cut-off concentration for the presence of TBIL modification effects was identified by Johnson-Neyman analyses. Mediation analyses were performed to determine the influence of TBIL on mediating factors that mediate the relationship between diabetes and stroke. Results This cross-sectional study included 16 130 participants, with the mean age of 46.8±0.4 years and 48.5% of men. Diabetes was associated with the presence of stroke at TBIL <10.3 µmol/L (OR=2.19, 95% CI 1.58 to 3.05) but not at TBIL ≥10.3 µmol/L (OR=1.27, 95% CI 0.85 to 1.88) after adjustment for confounders. Above associations were significantly different between the two TBIL concentrations ( P for interaction=0.03). Moreover, the modification effect of TBIL specifically occurred in men ( P for interaction=0.02) rather than in women ( P for interaction=0.08). The cut-off concentration for the presence of TBIL modification effects was 17.05 µmol/L. Additionally, the TBIL of ≥10.3 µmol/L inhibited mediating effects of hypersensitive C reactive protein (mediating effect=0.03, 95% CI −0.15 to 0.22, P =0.72) and systemic immune-inflammation index (mediating effect=0.01, 95% CI −0.01 to 0.04, P =0.29) as compared with the TBIL of <10.3 µmol/L. Conclusions Elevated TBIL modified the association between diabetes and stroke through inhibiting mediating effects of inflammatory factors.
Background: Repetitive mild traumatic brain injury (rmTBI) often occurs in individuals engaged in contact sports, particularly boxing. This study aimed to elucidate the effects of rmTBI on phase-locking value (PLV)-based graph theory and functional network architecture in individuals with boxing-related injuries in five frequency bands by employing resting-state electroencephalography (EEG). Methods: Twenty-fore professional boxers and 25 matched healthy controls were recruited to perform a resting-state task, and their noninvasive scalp EEG data were collected simultaneously. Based on the construction of PLV matrices for boxers and controls, phase synchronization and graph-theoretic characteristics were identified in each frequency band. The significance of the calculated functional brain networks between the two populations was analyzed using a network-based statistical (NBS) approach. Results: Compared to controls, boxers exhibited an increasing trend in PLV synchronization and notable differences in the distribution of functional centers, especially in the gamma frequency band. Additionally, attenuated nodal network parameters and decreased small-world measures were observed in the theta, beta, and gamma bands, suggesting that the functional network efficiency and small-world characteristics were significantly weakened in boxers. NBS analysis revealed that boxers exhibited a significant increase in network connectivity strength compared to controls in the theta, beta, and gamma frequency bands. The functional connectivity of the significance subnetworks exhibited an asymmetric distribution between the bilateral hemispheres, indicating that the optimized organization of information integration and segregation for the resting-state networks was imbalanced and disarranged for boxers. Conclusions: This is the first study to investigate the underlying deficits in PLV-based graph-theoretic characteristics and NBS-based functional networks in patients with rmTBI from the perspective of whole-brain resting-state EEG. Joint analyses of distinctive graph-theoretic representations and asymmetrically hyperconnected subnetworks in specific frequency bands may serve as an effective method to assess the underlying deficiencies in resting-state network processing in patients with sports-related rmTBI.
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