10 research outputs found

    T cell responses in Helicobacter pylori - Associated gastroduodenal diseases

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    Ph.DDOCTOR OF PHILOSOPH

    A State-of-the-Art Roadmap for Biomarker-Driven Drug Development in the Era of Personalized Therapies

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    Advances in biotechnology have enabled us to assay human tissue and cells to a depth and resolution that was never possible before, redefining what we know as the “biomarker”, and how we define a “disease”. This comes along with the shift of focus from a “one-drug-fits-all” to a “personalized approach”, placing the drug development industry in a highly dynamic landscape, having to navigate such disruptive trends. In response to this, innovative clinical trial designs have been key in realizing biomarker-driven drug development. Regulatory approvals of cancer genome sequencing panels and associated targeted therapies has brought personalized medicines to the clinic. Increasing availability of sophisticated biotechnologies such as next-generation sequencing (NGS) has also led to a massive outflux of real-world genomic data. This review summarizes the current state of biomarker-driven drug development and highlights examples showing the utility and importance of the application of real-world data in the process. We also propose that all stakeholders in drug development should (1) be conscious of and efficiently utilize real-world evidence and (2) re-vamp the way the industry approaches drug development in this era of personalized medicines

    The IL-17A response of CD4<sup>+</sup> PBMCs to HP-pulsed APCs.

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    <p>The mean ± SEM (standard error of mean) has been depicted for measurements of IL-17A concentration in the supernatant of co-culture experiments performed as described in the legend for <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0039199#pone-0039199-g003" target="_blank">figure 3B</a>. CD4<sup>+</sup> T cells were co-cultured with autologous HP-pulsed APCs either in the absence or presence of MHC Class II blocking antibody. The fold-decrease in response was calculated by dividing the supernatant concentration of IL-17A from the culture without MHC Class II blockade, by the IL-17A concentration in the culture with MHC Class II blockade. The mean fold-decrease was obtained for the indicated number of biological replicates in each group, and mean ± SEM has been reported in the table.</p

    Elevated frequencies of cells that express IL-17A persist in individuals with past HP infection.

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    <p>(A) The percentage of CD3<sup>+</sup>CD8<sup>−</sup>CCR6<sup>+</sup>IL-17A<sup>+</sup> cells as a function of CD3<sup>+</sup>CD8<sup>−</sup> PBMCs was assessed by flow cytometry. PBMCs were activated with PMA and ionomycin for 5 hours in the presence of GolgiStop. Cells were stained for cell surface CD3, CD8, and CCR6, fixed, permeabilised, and stained for intracellular IL-17A. Th17 cells were defined as CCR6<sup>+</sup>IL-17A<sup>+</sup> events within the CD3<sup>+</sup>CD8<sup>−</sup> compartment. Representative flow cytometry plots of individuals from group A, P, and N have been depicted. (B) Scatter plot of CD3<sup>+</sup>CD8<sup>−</sup>CCR6<sup>+</sup>IL-17A<sup>+</sup> cells as a percentage of CD3<sup>+</sup>CD8<sup>−</sup> cells among PBMCs that had been stimulated with PMA and ionomycin. Group A (n = 44), group P (n = 47), and group N (n = 48). The median and interquartile ranges have been represented on the scatter plot as horizontal bars. (C) The frequency of CD3<sup>+</sup>CD8<sup>−</sup>CCR6<sup>+</sup>IL-17A<sup>+</sup> events within the CD3<sup>+</sup>CD8<sup>−</sup> compartment for individuals from group P divided according to years since HP treatment. 1 year (n = 13), 2–3 years (n = 9), 4–9 years (n = 7), and ≥10 years (n = 3). (D) Number of CD4<sup>+</sup>IL-17A<sup>+</sup> cells per high powered field (HPF) in gastric biopsy samples. Immunofluorescence microscopy was performed on gastric biopsies obtained from 8 patients in group A, 17 patients in group P, 12 patients in group N. For each patient sample, ten HPFs were evaluated and the average number of CD4<sup>+</sup>IL-17A<sup>+</sup> cells per HPF was represented on the scatter plot. (E) Number of CD4<sup>+</sup>IL-17A<sup>+</sup> cells per HPF in samples from group P stratified according to years since HP treatment. 1 year (n = 3), 2–3 years (n = 5), 4–9 years (n = 1), and ≥10 years (n = 3). (F − I) Cytokine concentrations in clarified homogenate obtained from mechanically disrupted gastric biopsy samples were measured using the MILLIPLEX® xMAP® bead-based cytokine quantification assay. (F) IL-17A concentration in gastric biopsy samples obtained from patients in group A (n = 7), group P (n = 15), and group N (n = 9). (G) IL-17A concentration in gastric biopsy samples from group P individuals depicted in (F) who were further sub-grouped based on the presence (PC+) or absence (PC<b>−</b>) of histological evidence of pre-cancerous lesions (chronic atrophic gastritis or intestinal metaplasia) in the gastric mucosa. PC+ (n = 12), PC<b>−</b> (n = 3). (H) IFNγ concentration in gastric biopsy samples obtained from patients in group A (n = 7), group P (n = 15), and group N (n = 9). (I) IL-8 concentration in gastric biopsy samples obtained from patients in group A (n = 7), group P (n = 15), and group N (n = 9). NS: not significant, *p<0.05, **p<0.001, ***p<0.0001.</p

    Gastric mucosal expression of cytokines that modulate Th17 responses.

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    <p>(A) Semi-quantitative real-time PCR was used to determine gene expression of CCL20 in gastric biopsy samples, normalised to expression of β-actin. Group A (n = 17), group P (n = 27), group N (n = 20). (B) Semi-quantitative real-time PCR was used to determine gene expression of hBD-2 in gastric biopsy samples, normalised to expression of β-actin. Group A (n = 16), group P (n = 11), and group N (n = 12). (C) Semi-quantitative real-time PCR was used to determine gene expression of IL-23p19 in gastric biopsy samples, normalised to expression of β-actin. Group A (n = 15), group P (n = 31), and group N (n = 30). (D – G) <i>Ex vivo</i> protein concentrations of IL-6, TNF-α, IL-1β, and IL-1Ra in homogenised gastric biopsy samples were measured by MILLIPLEX® xMAP® bead-based cytokine quantification assay. Group A (n = 6), group P (n = 14), and group N (n = 7). (H) IL-1 receptor antagonist blocks IL-17A production by CD4<sup>+</sup> T cells co-cultured with HP-pulsed APCs. PBMCs obtained from a group P individual were pulsed with HP and prepared as in <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0039199#pone-0039199-g003" target="_blank">figure 3B</a> for use as APCs. These APCs were co-cultured for 48 hours with purified autologous CD4<sup>+</sup> T cells at a ratio of 5 APCs: 1 CD4<sup>+</sup> T cell, either in the absence or presence of IL-1Ra (final concentration 200 ng/ml). IL-17A levels in culture supernatant were measured using ELISA. Representative data from 1 of 2 independent experiments has been depicted. NS: not significant, *p<0.05, **p<0.001, ***p<0.0001.</p

    IL-22 expression in the gastric mucosa.

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    <p>(A) Number of IL-22<sup>+</sup> cells per high powered field (HPF) in gastric biopsy samples. Immunofluorescence microscopy was performed on gastric biopsies obtained from 13 patients in group A, 20 patients in group P, and 9 patients in group N. Ten HPFs were evaluated per sample, and the average number of IL-22<sup>+</sup> cells per HPF was represented on the scatter plot. (B) <i>Ex vivo</i> concentration of IL-22 in gastric biopsies. Cytokine concentrations in clarified homogenate obtained from mechanically disrupted gastric biopsy samples were measured by ELISA. Group A (n = 8), group P (n = 17), and group N (n = 9). (C) The ratio of gastric mucosal IL-17A to IL-22 was determined by dividing the concentration of IL-17A in gastric mucosal homogenate with the concentration of IL-22 found in the same biopsy sample obtained from a given individual. Group A (n = 7), group P (n = 14), and group N (n = 8). NS: not significant, *p<0.05, ***p<0.0001.</p

    The IL-17A response of expanded LPMCs to HP-pulsed APCs.

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    <p>The mean ± SEM (standard error of mean) has been depicted for measurements of IL-17A concentration in the supernatant of co-culture experiments performed as described in the legend for <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0039199#pone-0039199-g003" target="_blank">figure 3C</a>. LPMCs were co-cultured with autologous HP-pulsed APCs, either in the absence or presence of MHC Class II blocking antibody. The fold-decrease in response was calculated by dividing the supernatant concentration of IL-17A from the culture without MHC Class II blockade, by the IL-17A concentration in the culture with MHC Class II blockade. The mean fold-decrease was obtained for the indicated number of biological replicates in each group, and mean ± SEM has been reported in the table.</p

    Different and Polymorphisms are Found in the Chinese versus the Malay and Indian Populations: An Analysis of Virulence Genes in Singapore

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    Aim: Helicobacter pylori causes peptic ulcer disease and gastric cancer. Western studies suggest that polymorphisms in the virulence factors cagA and vacA may determine the ability of bacteria to cause gastroduodenal diseases. Differences in the cagA EPIYA motifs and polymorphisms of the signal (s), middle (m) and intermediate (i) regions of vacA are thought to be important. The aim of this study was to compare the polymorphisms of cagA and vacA of H. pylori isolated from the Chinese, Malay and Indian populations living in Singapore. Method: A total of 104 H. pylori isolates obtained from patients with dyspeptic symptoms were analysed. Of the 104 patients, 80 were Chinese, 9 Malays and 15 Indians. DNA was extracted from the isolates and the vacA allelic types and cagA EPIYA motifs were determined by polymerase chain reaction (PCR) and sequencing, respectively. Results: Differences in the vacA and cagA polymorphisms were found between the Chinese, Malays and Indians. Significantly more non-Chinese patients carried vacA s1/m1 strains versus Chinese patients ( p < 0.05). All 9 Malay patients, 11/15 (73.3%) Indians and 31/80 (38.8%) Chinese patients carried H. pylori strains with the vacA s1/m1/i1. Significantly more Chinese patients carried isolates with East Asian cagA EPIYA motifs versus non-Chinese patients ( p < 0.05). 79/80 (98.8%) of the Chinese isolates, 2/15 (13%) of Indian isolates, and 5/9(55.6%) of Malay isolates possessed CagA with the East Asian ABD type motif. Conclusion: Results from the current study demonstrated marked differences in the polymorphisms of vacA and CagA EPIYA motifs in strains isolated from Chinese versus non-Chinese patients. Epidemiologically, the Chinese are at the highest risk of developing gastric cancer. Work is ongoing to determine if differences found in the CagA EPIYA motifs of isolates from the Chinese patients can contribute to a subject's risk of developing gastric cancer
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