White matter changes measured by multi-component MR Fingerprinting in multiple sclerosis

T2-hyperintense lesions are the key imaging marker of multiple sclerosis (MS). Previous studies have shown that the white matter surrounding such lesions is often also affected by MS. Our aim was to develop a new method to visualize and quantify the extent of white matter tissue changes in MS based on relaxometry properties. We applied a fast, multi-parametric quantitative MRI approach and used a multi-component MR Fingerprinting (MC-MRF) analysis. We assessed the differences in the MRF component representing prolongedrelaxation time between patients with MS and controls and studied the relation between this component's volume and structural white matter damage identified on FLAIR MRI scans in patients with MS. A total of 48 MS patients at two different sites and 12 healthy controls were scanned with FLAIR and MRF-EPI MRI scans. MRF scans were analyzed with a joint-sparsity multi-component analysis to obtain magnetization fraction maps of different components, representing tissues such as myelin water, white matter, gray matter and cerebrospinal fluid. In the MS patients, an additional component was identified with increased transverse relaxation times compared to the white matter, likely representing changes in free water content. Patients with MS had a higher volume of the long- component in the white matter of the brain compared to healthy controls (B (95%-CI) = 0.004 (0.0006–0.008), p = 0.02). Furthermore, this MRF component had a moderate correlation (correlation coefficient R 0.47) with visible structural white matter changes on the FLAIR scans. Also, the component was found to be more extensive compared to structural white matter changes in 73% of MS patients. In conclusion, our MRF acquisition and analysis captured white matter tissue changes in MS patients compared to controls. In patients these tissue changes were more extensive compared to visually detectable white matter changes on FLAIR scans. Our method provides a novel way to quantify the extent of white matter changes in MS patients, which is underestimated using only conventional clinical MRI scans.</p

Gene Expression and Functional Annotation of the Human Ciliary Body Epithelia

Purpose: The ciliary body (CB) of the human eye consists of the non-pigmented (NPE) and pigmented (PE) neuro-epithelia. We investigated the gene expression of NPE and PE, to shed light on the molecular mechanisms underlying the most important functions of the CB. We also developed molecular signatures for the NPE and PE and studied possible new clues for glaucoma. Methods: We isolated NPE and PE cells from seven healthy human donor eyes using laser dissection microscopy. Next, we performed RNA isolation, amplification, labeling and hybridization against 44×k Agilent microarrays. For microarray conformations, we used a literature study, RT-PCRs, and immunohistochemical stainings. We analyzed the gene expression data with R and with the knowledge database Ingenuity. Results: The gene expression profiles and functional annotations of the NPE and PE were highly similar. We found that the most important functionalities of the NPE and PE were related to developmental processes, neural nature of the tissue, endocrine and metabolic signaling, and immunological functions. In total 1576 genes differed statistically significantly between NPE and PE. From these genes, at least 3 were cell-specific for the NPE and 143 for the PE. Finally, we observed high expression in the (N)PE of 35 genes previously implicated in molecular mechanisms related to glaucoma. Conclusion: Our gene expression analysis suggested that the NPE and PE of the CB were quite similar. Nonetheless, cell-type specific differences were found. The molecular machineries of the human NPE and PE are involved in a range of neuro-endocrinological, developmental and immunological functions, and perhaps glaucoma

The Functional −765G→C Polymorphism of the COX-2 Gene May Reduce the Risk of Developing Crohn's Disease

Contains fulltext : 87827.pdf (publisher's version ) (Open Access)BACKGROUND: Cyclooxygenase-2 (COX-2) is a key enzyme involved in the conversion of arachidonic acid into prostaglandins. COX-2 is mainly induced at sites of inflammation in response to proinflammatory cytokines such as interleukin-1alpha/beta, interferon-gamma and tumor necrosis factor-alpha produced by inflammatory cells. AIM: The aim of this study was to investigate the possible modulating effect of the functional COX-2 polymorphisms -1195 A-->G and -765G-->C on the risk for development of inflammatory bowel disease (IBD) in a Dutch population. METHODS: Genomic DNA of 525 patients with Crohn's disease (CD), 211 patients with ulcerative colitis (UC) and 973 healthy controls was genotyped for the -1195 A-->G (rs689466) and -765G-->C (rs20417) polymorphisms. Distribution of genotypes in patients and controls were compared and genotype-phenotype interactions were investigated. RESULTS: The genotype distribution of the -1195A-->G polymorphism was not different between the patients with CD or UC and the control group. The -765GG genotype was more prevalent in CD patients compared to controls with an OR of 1.33 (95%CI 1.04-1.69, pC polymorphism was associated with a reduced risk for developing Crohn's disease in a Dutch population

Effects of intervention with sulindac and inulin/VSL#3 on mucosal and luminal factors in the pouch of patients with familial adenomatous polyposis

Contains fulltext : 97862.pdf (publisher's version ) (Open Access)BACKGROUND/AIM: In order to define future chemoprevention strategies for adenomas or carcinomas in the pouch of patients with familial adenomatous polyposis (FAP), a 4-weeks intervention with (1) sulindac, (2) inulin/VSL#3, and (3) sulindac/inulin/VSL#3 was performed on 17 patients with FAP in a single center intervention study. Primary endpoints were the risk parameters cell proliferation and glutathione S-transferase (GST) detoxification capacity in the pouch mucosa; secondary endpoints were the short chain fatty acid (SCFA) contents, pH, and cytotoxicity of fecal water. METHODS: Before the start and at the end of each 4-week intervention period, six biopsies of the pouch were taken and feces was collected during 24 h. Cell proliferation and GST enzyme activity was assessed in the biopsies and pH, SCFA contents, and cytotoxicity were assessed in the fecal water fraction. The three interventions (sulindac, inulin/VSL#3, sulindac/inulin/VSL#3) were compared with the Mann-Whitney U test. RESULTS: Cell proliferation was lower after sulindac or VSL#3/inulin, the combination treatment with sulindac/inulin/VSL#3 showed the opposite. GST enzyme activity was increased after sulindac or VSL#3/inulin, the combination treatment showed the opposite effect. However, no significance was reached in all these measures. Cytotoxicity, pH, and SCFA content of fecal water showed no differences at all among the three treatment groups. CONCLUSION: Our study revealed non-significant decreased cell proliferation and increased detoxification capacity after treatment with sulindac or VSL#3/inulin; however, combining both regimens did not show an additional effect

Sparsity promoting algorithms for multi-component magnetic resonance parameter mapping

Magnetic resonance imaging (MRI) is often used to obtain qualitative images of the human brain. Different kinds of tissues can be recognised from the different levels of contrast. Multi-echo spin-echo T 2 MR measurements can be used to obtain a quantitative map of the brain where different tissues or components can be recognised based on a certain tissue property, the T 2 relaxation time this case. This quantitative approach is also called parameter mapping. Multi-component parameter mapping makes it possible to determine the concentrations of different tissues inside a certain region, this is mainly used for the determination of the myelin water fraction. Myelin is a substance present in low concentrations in the brain and can be related to certain neurodegenerative autoimmune diseases. Magnetic resonance fingerprinting (MRF) provides a new way to such qualitative measurements. An advantage is that MRF is sensitive to both T1 and T2 relaxation times, making it possible to distinguish more types of tissues. The drawback is, however, that more combinations of the parameters are possible, leading to a more difficult problem with longer computation times. In this project a new method to perform a multi-component analysis in MRF and multi-echo spin-echo T2 measurements is developed, which is faster and less sensitive to noise than previous methods. The algorithm that is developed in this project, is called Sparsity Promoting Iterative Joint Non-negative least squares (SPIJN). It finds a small number ofcomponents throughout the region of interest without assumptions about the number of components or their relaxation times by imposing a joint sparsity constraint. This new method is compared to previously published methods in both numerical simulations and in vivo experiments. The multi-component decomposition for brain data results in meaningful structures on first sight, although further research would be required on the meaning of the matched components. Moreover, the algorithm has been used for the calculation of the myelin water fraction from multi-echo spin-echo T2 data. The obtained maps are comparable to state-of-the-art methods, show improvements in some cases and have significantly shorter computation times.Computer Simulation for Science and Engineerin

Detecting Lynch syndrome in pancreatic ductal adenocarcinoma FNA cytology based on cancer history and immunocytochemistry

No abstract availabl

Circumferential margin involvement is the crucial prognostic factor after multimodality treatment in patients with locally advanced rectal carcinoma.

Contains fulltext : 52242.pdf (publisher's version ) (Open Access

<i>COX-2</i> diplotype distribution and corresponding ORs in patients with IBD, CD or UC versus controls.

<p>OR = Odds ratio; CI = confidence interval.</p