Mechanisms of Induction and Maintenance of Constitutive Ptgs2 Expression in Colonic Mesenchymal Stem Cells

Colonic injury and inflammation exhibit high morbidity and mortality in western society and are increasingly diagnosed in human patients. In many models of such gastrointestinal insults, prostaglandin endoperoxide synthetase 2: Ptgs2; cyclooxygenase 2) and its downstream synthetic products, most notably prostaglandin E2, support proliferation and modulate the inflammatory immune response, two functions involved in proper injury response. We identified a primary source of this mediator as a population of stromal cells constitutively expressing Ptgs2 that appear to be required in two different model injury systems: administration of dextran sodium sulfate: DSS) and colonic biopsy. The central role of Ptgs2-expressing cells in injury demonstrates the importance of understanding Ptgs2 regulation. We therefore created a robust in vitro system for studying the pathways and molecules involved by isolation of Ptgs2-expressing colonic stromal cells and identified the isolated lines as colonic mesenchymal stem cells: cMSCs). We then demonstrated the dominance of post-transcriptional regulation of Ptgs2 expression in cMSCs. Subsequent global gene array analysis comparing these cMSCs to a similar cell isolated from the bone marrow revealed a number of candidate genes with potential roles in post-transcriptional regulation of Ptgs2 expression. We determined that Fgf9 can regulate Ptgs2 through Fgf receptor expressed preferentially in cMSCs. Downstream of Fgf9, phosphorylation of Erk and increased abundance of mRNA binding protein CUGbp2 augments Ptgs2 expression. Furthermore, Fgf9 expression in the adult colonic epithelium ideally positions this growth factor to affect Ptgs2 expression in vivo. We also found that loss of insulin growth factor 2 binding protein 1: Igf2bp1 or Imp1) results in a decrease in Ptgs2 and confirmed the ability of Imp1 protein and Ptgs2 mRNA to interact in the cellular environment. Additionally, we discovered increased Imp1 expression in the colonic biopsy wound bed compared to normal mucosa and co-localization of Imp1 in wound bed Ptgs2-expressing cells. Overall, this work has uncovered multiple mechanisms involved in the complex post-transcriptional regulation of Ptgs2 in isolated stromal cells and demonstrated the role of these pathways in response to multiple forms of colonic injury

Modeling the dynamics of biomarkers during primary HIV infection taking into account the uncertainty of infection date

During primary HIV infection, the kinetics of plasma virus concentrations and CD4+ cell counts is very complex. Parametric and nonparametric models have been suggested for fitting repeated measurements of these markers. Alternatively, mechanistic approaches based on ordinary differential equations have also been proposed. These latter models are constructed according to biological knowledge and take into account the complex nonlinear interactions between viruses and cells. However, estimating the parameters of these models is difficult. A main difficulty in the context of primary HIV infection is that the date of infection is generally unknown. For some patients, the date of last negative HIV test is available in addition to the date of first positive HIV test (seroconverters). In this paper we propose a likelihood-based method for estimating the parameters of dynamical models using a population approach and taking into account the uncertainty of the infection date. We applied this method to a sample of 761 HIV-infected patients from the Concerted Action on SeroConversion to AIDS and Death in Europe (CASCADE).Comment: Published in at http://dx.doi.org/10.1214/10-AOAS364 the Annals of Applied Statistics (http://www.imstat.org/aoas/) by the Institute of Mathematical Statistics (http://www.imstat.org

Immunologic response in treatment-naïve HIV-2-infected patients:the IeDEA West Africa cohort

Introduction: Response to antiretroviral therapy (ART) among individuals infected with HIV-2 is poorly described. We compared the immunological response among patients treated with three nucleoside reverse-transcriptase inhibitors (NRTIs) to boosted protease inhibitor (PI) and unboosted PI-based regimens in West Africa. Methods: This prospective cohort study enrolled treatment-naïve HIV-2-infected patients within the International Epidemiological Databases to Evaluate AIDS collaboration in West Africa. We used mixed models to compare the CD4 count response to treatment over 12 months between regimens. Results: Of 422 HIV-2-infected patients, 285 (67.5%) were treated with a boosted PI-based regimen, 104 (24.6%) with an unboosted PI-based regimen and 33 (7.8%) with three NRTIs. Treatment groups were comparable with regard to gender (54.5% female) and median age at ART initiation (45.3 years; interquartile range 38.3 to 51.8). Treatment groups differed by clinical stage (21.2%, 16.8% and 17.3% at CDC Stage C or World Health Organization Stage IV for the triple NRTI, boosted PI and unboosted PI groups, respectively, p=0.02), median length of follow-up (12.9, 17.7 and 44.0 months for the triple NRTI, the boosted PI and the unboosted PI groups, respectively, p<0.001) and baseline median CD4 count (192, 173 and 129 cells/µl in the triple NRTI, the boosted PI and the unboosted PI-based regimen groups, respectively, p=0.003). CD4 count recovery at 12 months was higher for patients treated with boosted PI-based regimens than those treated with three NRTIs or with unboosted PI-based regimens (191 cells/µl, 95% CI 142 to 241; 110 cells/µl, 95% CI 29 to 192; 133 cells/µl, 95% CI 80 to 186, respectively, p=0.004). Conclusions: In this observational study using African data, boosted PI-containing regimens had better immunological response compared to triple NRTI combinations and unboosted PI-based regimens at 12 months. A randomized clinical trial is still required to determine the best initial regimen for treating HIV-2 infected patients

Early and Long-Term Effects of Dupilumab Treatment on Circulating T-Cell Functions in Patients with Moderate-to-Severe Atopic Dermatitis

Dupilumab, a mAb targeting IL-4 receptor alpha (IL-4Rα), markedly improves disease severity in patients with atopic dermatitis. However, the effect of IL-4Rα blockade on dynamics of circulating skin-homing T cells, which are crucial players in the pathologic mechanism of atopic dermatitis, has not been studied yet. In addition, it remains unknown whether dupilumab treatment induces long-lasting T- and B-cell polarization. Therefore, we studied the short- and long-term effects of dupilumab treatment on IL-4Rα expression and T-cell cytokine production within total and skin-homing (cutaneous lymphocyte antigen+/CCR4+) subpopulations in patients with moderate-to-severe atopic dermatitis. Dupilumab treatment completely blocked IL-4Rα expression and signal transducer and activator of transcription 6 phosphorylation in CD19+ B cells and CD4+ T cells within 2 hours of administration and through week 52. Although no change in the proportion of skin-homing T-cell subsets was found, dupilumab treatment significantly decreased the percentage of proliferating (Ki67+) and T helper type 2 and T helper type 22 cytokine-producing skin-homing CD4+ T cells at week 4. No evidence of general T helper type cell skewing following a year of dupilumab treatment was found. In summary, dupilumab treatment rapidly and stably inhibited IL-4Rα, which was accompanied by a strong early functional immunological effect specifically on skin-homing T cells without affecting overall T helper type cell skewing in the long term

Targeted Proteomics Reveals Inflammatory Pathways that Classify Immune Dysregulation in Common Variable Immunodeficiency

Patients with common variable immunodeficiency (CVID) can develop immune dysregulation complications such as autoimmunity, lymphoproliferation, enteritis, and malignancy, which cause significant morbidity and mortality. We aimed to (i) assess the potential of serum proteomics in stratifying patients with immune dysregulation using two independent cohorts and (ii) identify cytokine and chemokine signaling pathways that underlie immune dysregulation in CVID. A panel of 180 markers was measured in two multicenter CVID cohorts using Olink Protein Extension Assay technology. A classification algorithm was trained to distinguish CVID with immune dysregulation (CVIDid, n = 14) from CVID with infections only (CVIDio, n = 16) in the training cohort, and validated on a second testing cohort (CVIDid n = 23, CVIDio n = 24). Differential expression in both cohorts was used to determine relevant signaling pathways. An elastic net classifier using MILR1, LILRB4, IL10, IL12RB1, and CD83 could discriminate between CVIDid and CVIDio patients with a sensitivity of 0.83, specificity of 0.75, and area under the curve of 0.73 in an independent testing cohort. Activated pathways (fold change > 1.5, FDR-adjusted p < 0.05) in CVIDid included Th1 and Th17-associated signaling, as well as IL10 and other immune regulatory markers (LAG3, TNFRSF9, CD83). Targeted serum proteomics provided an accurate and reproducible tool to discriminate between patients with CVIDid and CVIDio. Cytokine profiles provided insight into activation of Th1 and Th17 pathways and indicate a possible role for chronic inflammation and exhaustion in immune dysregulation. These findings serve as a first step towards the development of biomarkers for immune dysregulation in CVID

Pharmacokinetic/pharmacodynamic modelling approaches in paediatric infectious diseases and immunology.

Pharmacokinetic/pharmacodynamic (PKPD) modelling is used to describe and quantify dose-concentration-effect relationships. Within paediatric studies in infectious diseases and immunology these methods are often applied to developing guidance on appropriate dosing. In this paper, an introduction to the field of PKPD modelling is given, followed by a review of the PKPD studies that have been undertaken in paediatric infectious diseases and immunology. The main focus is on identifying the methodological approaches used to define the PKPD relationship in these studies. The major findings were that most studies of infectious diseases have developed a PK model and then used simulations to define a dose recommendation based on a pre-defined PD target, which may have been defined in adults or in vitro. For immunological studies much of the modelling has focused on either PK or PD, and since multiple drugs are usually used, delineating the relative contributions of each is challenging. The use of dynamical modelling of in vitro antibacterial studies, and paediatric HIV mechanistic PD models linked with the PK of all drugs, are emerging methods that should enhance PKPD-based recommendations in the future

Dupilumab is very effective in a large cohort of difficult-to-treat adult atopic dermatitis patients:First clinical and biomarker results from the BioDay registry

Introduction: Dupilumab has recently been approved for the treatment of moderate to severe atopic dermatitis (AD) in adults. Daily practice data on dupilumab treatment are scarce. Objective: To study the effect of 16-week treatment with dupilumab on clinical response and serum biomarkers in adult patients with moderate-severe AD in daily practice. Methods: Data were extracted from the BioDay registry, a prospective multicenter registry. Sixteen-week clinical effectiveness of dupilumab was expressed as number of patients achieving EASI-50 (Eczema Area and Severity Index) or EASI-75, as well as patient-reported outcomes measures (Patient-Oriented Eczema Measure, Dermatology Life Quality Index, Numeric Rating Scale pruritus). Twenty-one biomarkers were measured in patients treated with dupilumab without concomitant use of oral immunosuppressive drugs at five different time points (baseline, 4, 8, 12, and 16 weeks). Results: In total, 138 patients treated with dupilumab in daily practice were included. This cohort consisted of patients with very difficult-to-treat AD, including 84 (61%) patients who failed treatment on ≥2 immunosuppressive drugs. At week 16, the mean percent change in EASI score was 73%. The EASI-50 and EASI-75 were achieved by 114 (86%) and 82 (62%) patients after 16 weeks of treatment. The most reported side effect was conjunctivitis, occurring in 47 (34%) patients. During dupilumab treatment, disease severity-related serum biomarkers (TARC, PARC, periostin, and IL-22), eotaxin-1, and eotaxin-3 significantly decreased. Conclusion: Treatment with dupilumab significantly improved disease severity and decreased severity-related serum biomarkers in patients with very difficult-to-treat AD in a daily practice setting

Алмазные фотоприемники ультрафиолетового диапазона

Изготовлены и исследованы планарные алмазные «солнечно-слепые» фотоприемники УФ-диапазона. Приведено теоретическое обоснование принципов работы и экспериментальные параметры фотоприемников в фоторезистивном и фотодиодном режимах

Resistance to antibody neutralization in HIV-2 infection occurs in late stage disease and is associated with X4 tropism

This is a non-final version of an article published in final form in AIDS. 28 November 2012 - Volume 26 - Issue 18 - p 2275–2284Objectives: To characterize the nature and dynamics of the neutralizing antibody (NAb) response and escape in chronically HIV-2 infected patients.Methods: Twenty-eight chronically infected adults were studied over a period of 1-4 years. The neutralizing activity of plasma IgG antibodies against autologous and heterologous primary isolates was analyzed using a standard assay in TZM-bl cells. Coreceptor usage was determined in GHOST cells. The sequence and predicted 3Dstructure of the C2V3C3 Env region were determined for all isolates.Results: Only 50% of the patients consistently produced IgG NAbs to autologous and contemporaneous virus isolates. In contrast, 96% of the patients produced IgG antibodies that neutralized at least two isolates of a panel of six heterologous R5 isolates. Breadth and potency of the neutralizing antibodies were positively associated with the number of CD4+ T cells and with the titer and avidity of C2V3C3-specific binding IgG antibodies. X4 isolates were obtained only from late stage disease patients and were fully resistant to neutralization. The V3 loop of X4 viruses was longer, had a higher net charge and differed markedly in secondary structure compared to R5 viruses.Conclusions: Most HIV-2 patients infected with R5 isolates produce C2V3C3-specific neutralizing antibodies whose potency and breadth decreases as the disease progresses. Resistance to antibody neutralization occurs in late stage disease and is usually associated with X4 viral tropism and major changes in V3 sequence and conformation. Our studies support a model of HIV-2 pathogenesis in which the neutralizing antibodies play a central role and have clear implications for the vaccine field.Fundação para a Ciência e Tecnologia, Portuga

Serum Biomarker Profile Including CCL1, CXCL10, VEGF, and Adenosine Deaminase Activity Distinguishes Active From Remotely Acquired Latent Tuberculosis

INTRODUCTION: There is an urgent medical need to differentiate active tuberculosis (ATB) from latent tuberculosis infection (LTBI) and prevent undertreatment and overtreatment. The aim of this study was to identify biomarker profiles that may support the differentiation between ATB and LTBI and to validate these signatures. MATERIALS AND METHODS: The discovery cohort included adult individuals classified in four groups: ATB (n = 20), LTBI without prophylaxis (untreated LTBI; n = 20), LTBI after completion of prophylaxis (treated LTBI; n = 20), and healthy controls (HC; n = 20). Their sera were analyzed for 40 cytokines/chemokines and activity of adenosine deaminase (ADA) isozymes. A prediction model was designed to differentiate ATB from untreated LTBI using sparse partial least squares (sPLS) and logistic regression analyses. Serum samples of two independent cohorts (national and international) were used for validation. RESULTS: sPLS regression analyses identified C-C motif chemokine ligand 1 (CCL1), C-reactive protein (CRP), C-X-C motif chemokine ligand 10 (CXCL10), and vascular endothelial growth factor (VEGF) as the most discriminating biomarkers. These markers and ADA(2) activity were significantly increased in ATB compared to untreated LTBI (p ≤ 0.007). Combining CCL1, CXCL10, VEGF, and ADA2 activity yielded a sensitivity and specificity of 95% and 90%, respectively, in differentiating ATB from untreated LTBI. These findings were confirmed in the validation cohort including remotely acquired untreated LTBI participants. CONCLUSION: The biomarker signature of CCL1, CXCL10, VEGF, and ADA2 activity provides a promising tool for differentiating patients with ATB from non-treated LTBI individuals