Uveitis as an important ocular sign to help early diagnosis in Kawasaki disease

PurposeIncomplete Kawasaki disease (KD) is frequently associated with delayed diagnosis and treatment. Delayed diagnosis leads to increasing risk of coronary artery aneurysm. Anterior uveitis is an important ocular sign of KD. The purpose of this study was to assess differences in laboratory findings, including echocardiographic measurements, clinical characteristics such as fever duration and treatment responses between KD patients with and those without uveitis.MethodsWe conducted a prospective study with 110 KD patients from January 2008 to June 2013. The study group (n=32, KD with uveitis) was compared with the control group (n=78, KD without uveitis). Laboratory data were obtained from each patient including complete blood count (CBC), erythrocyte sedimentation rate (ESR), platelet count, and level of alanine aminotransferase, aspartate aminotransferase, serum total protein, albumin, C-reactive protein (CRP), and N-terminal probrain natriuretic peptide (NT-pro BNP). Echocardiographic measurements and intravenous immunoglobulin responses were compared between the two groups.ResultsThe incidence of uveitis was 29.0%. Neutrophil counts and patient age were higher in the uveitis group than in the control group. ESR and CRP level were slightly increased in the uveitis group compared with the control group, but the difference between the two groups was not significant. No significant differences in coronary arterial complication and treatment responses were observed between the two groups.ConclusionUveitis is an important ocular sign in the diagnosis of incomplete KD. It is significantly associated with patient age and neutrophil count

Integration of RNA-Seq and proteomics data identifies glioblastoma multiforme surfaceome signature

Background: Glioblastoma multiforme (GBM) is a highly lethal, stage IV brain tumour with a prevalence of approximately 2 per 10,000 people globally. The cell surface proteins or surfaceome serve as information gateway in many oncogenic signalling pathways and are important in modulating cancer phenotypes. Dysregulation in surfaceome expression and activity have been shown to promote tumorigenesis. The expression of GBM surfaceome is a case in point; OMICS screening in a cell-based system identified that this sub-proteome is largely perturbed in GBM. Additionally, since these cell surface proteins have ‘direct’ access to drugs, they are appealing targets for cancer therapy. However, a comprehensive GBM surfaceome landscape has not been fully defined yet. Thus, this study aimed to define GBM-associated surfaceome genes and identify key cell-surface genes that could potentially be developed as novel GBM biomarkers for therapeutic purposes. Methods: We integrated the RNA-Seq data from TCGA GBM (n = 166) and GTEx normal brain cortex (n = 408) databases to identify the significantly dysregulated surfaceome in GBM. This was followed by an integrative analysis that combines transcriptomics, proteomics and protein-protein interaction network data to prioritize the highconfidence GBM surfaceome signature. Results: Of the 2381 significantly dysregulated genes in GBM, 395 genes were classified as surfaceome. Via the integrative analysis, we identified 6 high-confidence GBM molecular signature, HLA-DRA, CD44, SLC1A5, EGFR, ITGB2, PTPRJ, which were significantly upregulated in GBM. The expression of these genes was validated in an independent transcriptomics database, which confirmed their upregulated expression in GBM. Importantly, high expression of CD44, PTPRJ and HLA-DRA is significantly associated with poor disease-free survival. Last, using the Drugbank database, we identified several clinically-approved drugs targeting the GBM molecular signature suggesting potential drug repurposing. Conclusions: In summary, we identified and highlighted the key GBM surface-enriched repertoires that could be biologically relevant in supporting GBM pathogenesis. These genes could be further interrogated experimentally in future studies that could lead to efficient diagnostic/prognostic markers or potential treatment options for GBM

Identification of missense mutations in genes related to cancer pathways in glioma

Glioma is the most common primary brain tumour of the central nervous system. Many genetic alterations and mutations have been identified in glioma using various approaches. We performed DNA sequencing on the tumours of 16 patients with Grade I, II, III and IV glioma. The AmpliSeq Cancer Primers Pool was used to generate the amplicons. The targeted-ion sphere particles were prepared using the Ion One Touch and Ion Enrichment systems. DNA sequencing was performed on the Ion Torrent Personal Genome Machine (PGM) and the data were analysed using the Torrent Suite Software. In total, 14 mutations were identified in the following genes: KDR (Q472H), MLH1 (V384D), MET (N375S), PTPN11 (E69K), BRAF (V600E), TP53 (D149E, E154K, V157F), IDH1 (R132H), PIK3CA (H1047R), CSF1R (c1061_1061 ins A), KIT (M541L), PTEN (c1373_1373 del A) and PDGFRA (E556V). In addition, there were four novel mutations identified; TP53 (E154K, and D149E), CSF1R (c1061_1061 ins A) and PDGFRA (E556V). The pathogenicity prediction showed that only three mutations were pathogenic: PTPN11 (E69K), BRAF (V600E) and Tp53 (E154K). These mutations result in changes of the proteins’ structure and could affect their functions. Pathway analyses suggested that these genes are closely related to the pathogenesis of GBM through several pathways such as proliferation and invasion, metabolism and angiogenesis. In conclusion, PGM in combination with the AmpliSeq Cancer Panel could be utilised as a potential molecular diagnostic tool not only for glioma but also for other cancers

A preliminary study of the effects of macroeconomic variables on Singapore stock market.

This study aims to investigate the impact of various macroeconomic variables on equity returns. The return of the All-Singapore Share Index was used as the proxy for equity return in Singapore. Thirteen measures of various macroeconomic variables were used in this study. Linear regressions were performed between the contemporaneous, two lag periods and two lead periods data of the various measures and the return on the All-Singapore Share Index. Two sets of regressions, using monthly and quarterly data, were performed. Generally, the quarterly data produced more significant relationships that are consistent with the literature. This could be due to the relative stability in monthly data and has also been noted by others e.g. Fama and Schwert (1977). Next, a procedure called step-wise regression was performed between all the measures and the return on the All-Singapore Share Index using the software SPSS. For the monthly data, the second lead of the CPI, contemporaneous, first and second leads of Dow Jones Index level, contemporaneous Hang Seng Index level, second lag of M2 and the first lag of the POSB savings rate were all significant at the 5% level of significance. Using quarterly data, the second lead of the commercial property price index, contemporaneous and first lag of the Dow Jones and Hang Seng Index level, second lag of the S$/100JPY, first lag of M2, second lead of prime rate, first lead of the property price index and the S$US$, were all significant factors at the 5% level ofsignificance.BUSINES

Mitochondrial DNA Mutations in Grade II and III Glioma Cell Lines Are Associated with Significant Mitochondrial Dysfunction and Higher Oxidative Stress

The role of mitochondria in tumorigenesis has regained much attention as it could dysregulate cellular energetics, oxidative stress and apoptosis. However, the role of mitochondria in different grade gliomasis still unknown. This study aimed to identify mitochondrial DNA (mtDNA) sequence variations that could possibly affect the mitochondrial functions and also the oxidative stress status. Three different grades of human glioma cell lines and a normal human astrocyte cell line were cultured in-vitro and tested for oxidative stress biomarkers. Relative oxidative stress level, mitochondria activity, and mitochondrial mass were determined by live cell imaging with confocal laser scanning microscope using CM-H2DCFDA, MitoTracker Green, and MitoTracker Orange stains. The entire mitochondrial genome was sequenced using the AffymetrixGeneChip Human Mitochondrial Resequencing Array 2.0. The mitochondrial sequence variations were subjected to phylogenetic haplogroup assessment and pathogenicity of the mutations were predicted using pMUT and PolyPhen2. The Grade II astrocytoma cells showed increased oxidative stress wherea high level of 8-OHdG and oxidative stress indicator were observed. Simultaneously, Grade II and III glioma cells showed relatively poor mitochondria functions and increased number of mutations in the coding region of the mtDNA which could be due to high levels of oxidative stress in these cells. These non-synonymous mtDNA sequence variations were predicted to be pathogenic and could possibly lead to protein dysfunction, leading to oxidative phosphorylation (OXPHOS) impairment, mitochondria dysfunction and could create a vicious cycle of oxidative stress. The Grade IV cells had no missense mutation but preserved intact mitochondria and excellent antioxidant defense mechanisms thus ensuring better survival. In conclusion, Grade II and III glioma cells demonstrated coding region mtDNA mutations, leading to mitochondrial dysfunction and higher oxidative stress

Safety and Use of MLC601/MLC901 (NeuroAiDTM) in Primary Intracerebral Hemorrhage: A Cohort Study from the NeuroAiD Safe Treatment Registry

Background: MLC601/MLC901 (NeuroAiD™) is a combination of natural products shown to be safe and to aid neurological recovery after brain injuries, especially ischemic stroke. Few studies have investigated NeuroAiD in primary intracerebral hemorrhage (ICH). The NeuroAiD Safe Treatment (NeST) Registry explores NeuroAiD use in the real-world setting. This cohort study aimed to assess its use and safety in ICH. Methods: The online NeST Registry of subjects with ICH given NeuroAiD prospectively collected clinical data at baseline and monthly visits (V) 1 to 3. Outcome measures included compliance, side effects, Glasgow Coma Scale (GCS), National Institutes of Health Stroke Scale (NIHSS), modified Rankin Scale (mRS), and Short Orientation-Memory-Concentration Test (SOMCT). Results: Sixty-six subjects were included. NeuroAiD was well-tolerated with fair compliance over three months. Two non-serious side effects were reported. Mean scores significantly improved on all outcome scales. The proportion of subjects with favorable outcomes significantly improved from baseline to V3: NIHSS 0–4, from 12% to 59% (p < 0.0001); GCS 13–15, from 64% to 88% (p = 0.007); mRS 0–1, from 9% to 37% (p = 0.004); and SOMCT score 0–8, from 44% to 68% (p = 0.029). Conclusions: NeuroAiD in the real-world setting was safe and showed potential for a sustained positive effect on neurological recovery after ICH

Effects of Different Scan Duration on Brain Effective Connectivity among Default Mode Network Nodes

Background: Resting-state functional magnetic resonance imaging (rs-fMRI) can evaluate brain functional connectivity without requiring subjects to perform a specific task. This rs-fMRI is very useful in patients with cognitive decline or unable to respond to tasks. However, long scan durations have been suggested to measure connectivity between brain areas to produce more reliable results, which are not clinically optimal. Therefore, this study aims to evaluate a shorter scan duration and compare the scan duration of 10 and 15 min using the rs-fMRI approach. Methods: Twenty-one healthy male and female participants (seventeen right-handed and four left-handed), with ages ranging between 21 and 60 years, were recruited. All participants underwent both 10 and 15 min of rs-fMRI scans. The present study evaluated the default mode network (DMN) areas for both scan durations. The areas involved were the posterior cingulate cortex (PCC), medial prefrontal cortex (mPFC), left inferior parietal cortex (LIPC), and right inferior parietal cortex (RIPC). Fifteen causal models were constructed and inverted using spectral dynamic causal modelling (spDCM). The models were compared using Bayesian Model Selection (BMS) for group studies. Result: The BMS results indicated that the fully connected model was the winning model among 15 competing models for both 10 and 15 min scan durations. However, there was no significant difference in effective connectivity among the regions of interest between the 10 and 15 min scans. Conclusion: Scan duration in the range of 10 to 15 min is sufficient to evaluate the effective connectivity within the DMN region. In frail subjects, a shorter scan duration is more favourable