ABSTRACT
Objective • To investigate the gene expression profiles of CD169+ and CD169- red pulp macrophages based on the expression of CD169 in murine splenic red pulp macrophages. Methods • The expression of CD169 in splenic red pulp macrophages in C57BL/6 wild-type (WT) mice was analyzed by flow cytometry and immunofluorescence. CD169 knockout (KO) mice were used as negative control. F4/80+ splenic red pulp macrophages were enriched and separated into CD169+ and CD169- subtypes. RNA-sequencing was performed on the two subtypes. DESeq2 was used to analyze differentially expressed genes at P<0.05 & |log2FC| ≥ 1. Kyoto Encyclopedia of Genes (KEGG) enrichment analysis was used to classify the differentially expressed genes according to the pathways involved or functions they performed, and some differentially expressed genes were verified by quantitative real-time PCR (qPCR). Results • Expression of CD169 in some red pulp macrophages was confirmed by flow cytometry and immunofluorescence. There were 485 differentially expressed genes in CD169+ and CD169- subtypes. Some differentially expressed genes related to inflammation were highly expressed in the CD169- subtype. Conclusion • The CD169+ and CD169- red pulp macrophages have different transcriptional profiles, and CD169- red pulp macrophages have more features of M1 macrophages.
ABSTRACT
Brain magnetic resonance imaging (MRI) of the elderly often reveals white matter changes (WMCs) with substantial variability across individuals.Our study was designed to explore MRI features and site-specific factors of ischemic WMCs.Clinical data of consecutive patients diagnosed with ischemic cerebral vascular disease who had undergone brain MRI were collected and analyzed.Multi-logistic regression analysis comparing patients with mild versus severe WMCs was performed to detect independent associations.Analyses of variance (ANOVAs) were used to detect regionally specific differences in lesions.We found that lesion distribution differed significantly across five cerebral areas,with lesions being predominant in the frontal lobe and parieto-occipital area.To explore WMCs risk factors,after adjusting for gender,diabetes mellitus,and hypertension,only age (P＜0.01),creatinine (P=0.01),alkaline phosphatase (ALP) (P=0.01) and low-density lipoprotein cholesterol (LDL-C) (P=0.03) were found to be independently associated with severe WMCs.Age (P＜0.001) was strongly associated with WMCs in the frontal lobe while hypertension was independently related to lesions in the basal ganglia (P=0.048) or infratentorial area (P=0.016).In conclusion,MRI of WMCs showed that ischemic WMCs occurred mostly in the frontal lobe and parieto-occipital area.The infratentorial area was least affected by WMCs.Typically,age-related WMCs were observed in the frontal lobes,while hypertension-related WMCs tended to occur in the basal ganglia and infratentorial area.
ABSTRACT
Brain magnetic resonance imaging (MRI) of the elderly often reveals white matter changes (WMCs) with substantial variability across individuals.Our study was designed to explore MRI features and site-specific factors of ischemic WMCs.Clinical data of consecutive patients diagnosed with ischemic cerebral vascular disease who had undergone brain MRI were collected and analyzed.Multi-logistic regression analysis comparing patients with mild versus severe WMCs was performed to detect independent associations.Analyses of variance (ANOVAs) were used to detect regionally specific differences in lesions.We found that lesion distribution differed significantly across five cerebral areas,with lesions being predominant in the frontal lobe and parieto-occipital area.To explore WMCs risk factors,after adjusting for gender,diabetes mellitus,and hypertension,only age (P＜0.01),creatinine (P=0.01),alkaline phosphatase (ALP) (P=0.01) and low-density lipoprotein cholesterol (LDL-C) (P=0.03) were found to be independently associated with severe WMCs.Age (P＜0.001) was strongly associated with WMCs in the frontal lobe while hypertension was independently related to lesions in the basal ganglia (P=0.048) or infratentorial area (P=0.016).In conclusion,MRI of WMCs showed that ischemic WMCs occurred mostly in the frontal lobe and parieto-occipital area.The infratentorial area was least affected by WMCs.Typically,age-related WMCs were observed in the frontal lobes,while hypertension-related WMCs tended to occur in the basal ganglia and infratentorial area.
ABSTRACT
<p><b>BACKGROUND</b>Previous studies have indicated that the cognitive deficits in patients with Alzheimer's disease (AD) may be due to topological deteriorations of the brain network. However, whether the selection of a specific frequency band could impact the topological properties is still not clear. Our hypothesis is that the topological properties of AD patients are also frequency-specific.</p><p><b>METHODS</b>Resting state functional magnetic resonance imaging data from 10 right-handed moderate AD patients (mean age: 64.3 years; mean mini mental state examination [MMSE]: 18.0) and 10 age and gender-matched healthy controls (mean age: 63.6 years; mean MMSE: 28.2) were enrolled in this study. The global efficiency, the clustering coefficient (CC), the characteristic path length (CpL), and "small-world" property were calculated in a wide range of thresholds and averaged within each group, at three different frequency bands (0.01-0.06 Hz, 0.06-0.11 Hz, and 0.11-0.25 Hz).</p><p><b>RESULTS</b>At lower-frequency bands (0.01-0.06 Hz, 0.06-0.11 Hz), the global efficiency, the CC and the "small-world" properties of AD patients decreased compared to controls. While at higher-frequency bands (0.11-0.25 Hz), the CpL was much longer, and the "small-world" property was disrupted in AD, particularly at a higher threshold. The topological properties changed with different frequency bands, suggesting the existence of disrupted global and local functional organization associated with AD.</p><p><b>CONCLUSIONS</b>This study demonstrates that the topological alterations of large-scale functional brain networks in AD patients are frequency dependent, thus providing fundamental support for optimal frequency selection in future related research.</p>