- Comparison of Long-Term Effect Between Direct and Indirect Bypass for Pediatric Ischemic-Type Moyamoya Disease: A Propensity Score-Matched Study. [Journal Article]Front Neurol 2019; 10:795FN
- CONCLUSIONS: Both techniques were effective in improving the neurological status of pediatric ischemic-type MMD patients, and direct bypass surgery might be more superior in preventing recurrent ischemic strokes in the short-term.
- Genetic variants linked to myopic macular degeneration in persons with high myopia: CREAM Consortium. [Journal Article]PLoS One 2019; 14(8):e0220143Plos
- CONCLUSIONS: Of the 50 myopia-associated loci, we did not find any variant specifically associated with MMD, but the KCNMA1 and GJD2 loci were significantly associated with HM in highly myopic subjects with MMD, compared to emmetropes.
- Identification of HLA-DRB1*04:10 allele as risk allele for Japanese moyamoya disease and its association with autoimmune thyroid disease: A case-control study. [Journal Article]PLoS One 2019; 14(8):e0220858Plos
- CONCLUSIONS: HLA-DRB1*04:10 is a risk allele and HLA-DRB1*04:10-HLA-DQB1*04:02 a risk haplotype for MMD. In addition, HLA-DRB1*04:10 is associated with thyroid disease in MMD patients.
- Collateral Circulation in Moyamoya Disease. [Journal Article]Stroke 2019; :STROKEAHA119024487S
- Background and Purpose- Predicting the risk of stroke and determining intervention indications are highly important for patients with Moyamoya disease (MMD). Here, we evaluated a novel MMD grading system based on collateral circulation and Suzuki stage to evaluate symptoms and predict prognosis. Methods- In total, 301 idiopathic MMD patients were retrospectively analyzed between 2014 and 2016. A …
Background and Purpose- Predicting the risk of stroke and determining intervention indications are highly important for patients with Moyamoya disease (MMD). Here, we evaluated a novel MMD grading system based on collateral circulation and Suzuki stage to evaluate symptoms and predict prognosis. Methods- In total, 301 idiopathic MMD patients were retrospectively analyzed between 2014 and 2016. A collateral circulation grading system with scores ranging from 1 to 12 was established: the anatomic extent of pial collateral blood flow from posterior cerebral artery to middle cerebral artery and anterior cerebral artery was scored from 1 to 6; perforator collateral and internal cerebral artery flow were scored as 6 to 1, which corresponded to Suzuki stages 1 to 6. Dynamic susceptibility contrast-magnetic resonance imaging was used to evaluate hemodynamic status. We assessed the association between the grading system and clinical characteristics. Results- We analyzed 364 symptomatic hemispheres of 301 patients (146 males, 28±16 years). Ischemic patients who presented with infarction were more likely to score <8 points (P<0.001), whereas those with ischemia symptoms (transient ischemic attack and headache) were more likely to score >8 points. Hemorrhagic patients who presented with intraparenchymal hemorrhage were more likely to score <8 points, whereas those who presented with intraventricular hemorrhage were more likely to score >8 points (P<0.001). According to dynamic susceptibility contrast-magnetic resonance imaging, lower scores were correlated with more severe time to peak delay (P<0.001) and worse relative cerebral blood volume ratio (P=0.016) and cerebral flow ratio (P=0.002). Encephaloduroarteriosynangiosis was performed in 348 symptomatic hemispheres. Patients who had collateral scores <4 points were more likely to have a postoperative stroke and a worse prognosis during the follow-up. Conclusions- This new MMD collateral grading system correlated well with clinical symptoms, hemodynamic status, and therapeutic prognosis and may facilitate risk stratification and prognosis predictions in patients with MMD.
- A perfusion territory shift attributable solely to the secondary collaterals in moyamoya patients: a potential risk factor for preoperative hemorrhagic stroke revealed by t-ASL and 3D-TOF-MRA. [Journal Article]J Neurosurg 2019; :1-9JN
- CONCLUSIONS: t-ASL could reveal comprehensive MMD cerebral blood perfusion and the vivid perfusion territory shifts fed by the unilateral ICA and ECA and bilateral VAs in a noninvasive, straightforward, nonradioactive, and nonenhanced manner. 3D-TOF-MRA could subdivide t-ASL perfusion territory shifts according to their shunt arteries. A perfusion territory shift attributable to the secondary collaterals is a potential independent risk factor for preoperative hemorrhage in MMD patients. A perfusion territory shift fed by the primary collaterals may not have a strong effect on preoperative hemorrhage in MMD patients. These findings make the combined modalities of t-ASL and 3D-TOF-MRA a feasible tool for MMD disease assessment, management, and surgical strategy planning.
- Lactobacillus rescues postnatal neurobehavioral and microglial dysfunction in a model of maternal microbiome dysbiosis. [Journal Article]Brain Behav Immun 2019BB
- Increasing reports of pregnancy events leading to maternal microbiome dysbiosis (MMD) show strong correlates with atypical neurodevelopmental outcomes. However, the mechanism(s) driving microbiome-mediated behavioral dysfunction in offspring remain understudied. Here, we demonstrate the presence of a novel gut commensal bacterium strain, Lactobacillus murinus HU-1, was sufficient to rescue behavi…
Increasing reports of pregnancy events leading to maternal microbiome dysbiosis (MMD) show strong correlates with atypical neurodevelopmental outcomes. However, the mechanism(s) driving microbiome-mediated behavioral dysfunction in offspring remain understudied. Here, we demonstrate the presence of a novel gut commensal bacterium strain, Lactobacillus murinus HU-1, was sufficient to rescue behavioral deficits and brain region-specific microglial activationobserved in MMD-reared murine offspring. We furtheridentified a postnatal window of susceptibility that could prevent social impairments with timed maternal administration of the symbiotic bacterium. Moreover, MMD increased expression of microglial senescence genes, Trp53 and Il1β, and Cx3cr1 protein in the prefrontal cortex, which correlated with dysfunctional modeling of synapses and accompanied dysbiosis-induced microglial activation. MMD male offspring harboring Lactobacillus murinus HU-1 or lacking Cx3cr1 showed amelioration of these effects. The current study describes a new avenue of influence by which maternally transferred Lactobacillus drives proper development of social behavior in the offspring through microglia-specific regulation of Cx3cr1 signaling.
- Differing disease phenotypes of Duchenne muscular dystrophy and Moyamoya disease in female siblings of a Korean family. [Journal Article]Mol Genet Genomic Med 2019; :e862MG
- CONCLUSIONS: This report illustrates the difficulty that might be encountered in the interpretation of complex clinical manifestations when different genetic defects affecting neuromuscular and vascular diseases coexist.
- Whole Genome Microarray Analysis of DUSP4-Deletion Reveals A Novel Role for MAP Kinase Phosphatase-2 (MKP-2) in Macrophage Gene Expression and Function. [Journal Article]Int J Mol Sci 2019; 20(14)IJ
- CONCLUSIONS: Transcriptome profiling reveals that MKP-2 regulates macrophage development showing candidate targets from monocyte-to-macrophage differentiation and macrophage proliferation. However, it is unclear whether effects upon ERK signalling are able to explain the effects of DUSP-4 deletion on macrophage function.
- A Graph Embedding Framework for Maximum Mean Discrepancy Based Domain Adaptation Algorithms. [Journal Article]IEEE Trans Image Process 2019IT
- Domain adaptation aims to deal with learning problems in which the labeled training data and unlabeled testing data are differently distributed. Maximum Mean Discrepancy (MMD), as a distribution distance measure, is minimized in various domain adaptation algorithms for eliminating domain divergence. We analyze empirical MMD from the point of view of graph embedding. It is discovered from the MMD …
Domain adaptation aims to deal with learning problems in which the labeled training data and unlabeled testing data are differently distributed. Maximum Mean Discrepancy (MMD), as a distribution distance measure, is minimized in various domain adaptation algorithms for eliminating domain divergence. We analyze empirical MMD from the point of view of graph embedding. It is discovered from the MMD intrinsic graph that, when the empirical MMD is minimized, the compactness within each domain and each class is simultaneously reduced. Therefore, points from different classes may mutually overlap, leading to unsatisfactory classification results. To deal with this issue, we present a graph embedding framework with intrinsic and penalty graphs for MMD-based domain adaptation algorithms. In the framework, we revise the intrinsic graph of MMD-based algorithms such that the within-class scatter is minimized, and thus the new features are discriminative. Two strategies are proposed. Based on the strategies, we instantiate the framework by exploiting four models. Each model has a penalty graph characterizing certain similarity property that should be avoided. Comprehensive experiments on visual cross-domain benchmark datasets demonstrate that the proposed models can greatly enhance the classification performance compared to state-of-the-art methods.
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- Case of Hemorrhagic Moyamoya Disease Associated with Von Willebrand Disease. [Journal Article]World Neurosurg 2019; 130:335-338WN
- CONCLUSIONS: The patient overcame postoperative transient neurological events and fully recovered. We discuss appropriate perioperative supplementation of coagulation factors for a revascularization surgery for MMD with vWD.