The inclusion criteria were a prostate volume larger than 20 mL PCI-32765 cost and peak urinary flow lower than 15 mL/sec, IPSS > 7 (International Prostrate Symptom Score).[15] Only flows with at least 150 mL of voided volume were included. If the voided volume was below 150 mL at the initial evaluation, uroflowmetry

was repeated at the next visit. Measurements of three dimensions of the prostate and post-void residual volume (PVR) were made by using a 4.0 MHz transabdominal ultrasound probe positioned suprapubically in the transverse and saggital planes. The volume of prostate was calculated by the following formula: prostate volume (mL) = width (cm) × height (cm) × length (cm) × 0.523. PVR was calculated by the following formula: PVR (mL) = width (cm) × height (cm) × length (cm) × 0.625. Exclusion criteria included any of the following: Medical or surgical intervention for BPH or prostate cancer Anticholinergic, cholinergic, sympathomimetic, sympatholytic medication within one month of entry into the study Treatment with any medication affecting testosterone or estrogen levels The presence of any renal or hepatic impairment Stress or overflow incontinence Angiogenesis inhibitor PVR greater than 200 mL History of any type of malignancy

History of cardiovascular disease History of hypertension History of a cerebrovascular incident Diabetes mellitus Any known primary neurological conditions such as multiple sclerosis or Parkinson’s disease Any other neurological diseases known to affect bladder function Active urinary tract infection History of any chronic inflammatory or infective disease Sinomenine The RDW reflects the variability in the size of erythrocytes (anisocytosis) and is routinely reported by the automated laboratory equipment used to perform CBCs. The RDW is calculated by dividing the standard deviation of erythrocyte volume by the MCV, and multiplying by 100 to express the result as

a percentage. Conditions such as a severe blood loss, vitamin B12 or folate deficiency, iron deficiency, abnormal hemoglobin (sickle cell anemia), hemolysis, or hemolytic anemia can cause more immature cells to be released into the bloodstream, modifying the shape of the erythrocytes and resulting in an increased RDW.[16] Patients diagnosed with the aforementioned pathologies were also excluded from the study. Baseline variables were described using means and standard deviation or percentages, as appropriate. The data were tested for normal distribution using the Kolmogorov–Smirnov test. The one-way analysis of variance (anova) was used for the continuous factors between the different categories of prostate volume.

[40] This may reflect model-dependent differences in inflammatory pathophysiology. An alternative explanation is that although cysts are macroscopically small at week 3, other pathophysiological processes (such as cell proliferation) may already be established at this stage, and stimulate macrophage infiltration. The phenotypes of macrophages in PKD may also provide a clue to the role of inflammation. Karihaloo et al. investigated macrophages in two murine models of ADPKD, the Pkd1fl/fl;Pkhd1-Cre and Pkd2WS25/− mouse.[19] In both mouse strains there were increased numbers of F4/80-positive

macrophages compared with disease controls. In Pkd1fl/fl;Pkhd1-Cre mice, Ly6Clow cells comprised the predominant population of macrophages,[19] a phenotype characteristic of alternatively activated macrophages.[12] Clodronate-induced depletion of macrophages find more in Pkd1fl/fl;Pkhd1-Cre mice resulted in a decrease in circulating monocyte numbers, Ki67-positive cell proliferation, cystic GSK1120212 ic50 index and blood urea nitrogen (BUN) compared with vehicle-treated controls.[19] These findings suggest that macrophage depletion delays disease progression, which seems inconsistent with the authors’ previous observation of a predominantly Ly6Clow macrophage population which should theoretically

have restorative roles in disease. The proportions of Ly6Clow and Ly6Chigh macrophages were not significantly changed following clodronate treatment, indicating that the improved disease outcomes were not due to selective depletion of one

macrophage subtype.[19] Wilson disease protein This implies that in PKD, alternatively activated macrophages may have detrimental rather than restorative roles. Indeed, alternatively activated macrophages can induce cell proliferation.[41] Although cell proliferation facilitates the repair of damaged renal parenchyma in other types of renal injury such as IRI,[41] proliferation, particularly of the CEC, promotes cyst expansion in PKD.[7] Since Karihaloo et al. observed a concomitant decrease in cell proliferation with macrophage depletion,[19] it is plausible that inflammatory cells such as macrophages exacerbate cyst growth in this disease. Although macrophages are the most well-studied infiltrating cell type in PKD, other cells have also been observed (see Table 3). CD45-positive lymphocytes[11] and CD4-positive lymphocytes[10] have been identified in the renal interstitium of ADPKD patients. Lymphocytes were also reported in kidneys of kat2J/kat2J mice,[30] DBA/2FG-pcy mice,[26] and Han:SPRD rats,[36] although lymphocyte-specific markers were not employed in any of these studies. In other inflammatory renal states such as IRI, lymphocytes produce chemokines (e.g. TNF-α and interferon-γ),[71] and may therefore instigate similar inflammatory effects in PKD. McPherson et al. identified interstitial mast cells surrounded by chymase in ADPKD kidney tissue.

[12] In diverging from most other guidelines, the KDIGO Work Group considered the nature of the endpoints (predominantly renal), that subgroup analyses of two of the trials demonstrated no benefit in the groups without proteinuria, possible adverse effects of antihypertensive therapy and reduced patient adherence to therapy when more agents are required to reach a lower target. For patients with proteinuria, the KDIGO

Work Group recommended the lower target of ≤130/80 mmHg, albeit with lower levels of evidence given that this was based on post-hoc analyses of subgroups with proteinuria in two of the trials[13, 14] included in the systematic review. Sound evidence Napabucasin price regarding treatment of blood pressure in CKD, as evaluated by the KDIGO Work Group, appears to be lacking (Fig. 1). No ‘1A’ recommendation is made in this guideline and the GSK1120212 predominant grading for the statements

is ‘2D’. Given that evidence for ‘2D’ statements is considered to be ‘very low’ in quality and the estimate of effect ‘often will be far from the truth’,[3] this should be of concern to physicians managing patients with CKD and stimulate interest in conducting randomized controlled trials (RCT) to further clarify what blood pressure to target in which patients. While we clearly do not have enough RCT data to underpin this guideline, has this guideline group been particularly severe in its grading of the evidence? The evidence behind the statements for patients with microalbuminuria or overt proteinuria is graded 2D and 2C using the ‘Grading of Recommendations Assessment, Development and Evaluation (GRADE)’ tool but the recent KHA-CARI guideline on Early Chronic Kidney Disease grades the evidence for a similar statement as 1B[6] (Table 1). Furthermore, an RCT is considered to be a ‘High’ level of evidence in the GRADE system but the guideline statements regarding blood pressure targets and agents in the chapter on children are graded 2D. The guideline statements are based on a single RCT, the ‘Effect of Strict Blood Pressure Control and ACE Inhibition of Progression of CRF in Paediatric

Patients (ESCAPE)’ trial.[15] Sitaxentan This trial demonstrated that intensified blood pressure control in children, targeting a mean arterial pressure below the 50th percentile, delayed progression to doubling of serum creatinine or ESKD, with a hazard ratio of 0.65 (95% confidence interval 0.44–0.94, P = 0.02) compared with usual blood pressure control. Although this was a large, well-designed RCT without serious limitations and rated by the Evidence Review Team to be of ‘Good’ quality for this outcome, the Work Group ‘downgraded’ the evidence because it was based on a single trial in a predominantly Caucasian population. In contrast, the first statement regarding kidney transplant recipients recommends a blood pressure target of ≤130/80 mmHg and grades the evidence 2D, the same as for blood pressure in children.

The airways of cystic fibrosis (CF) patients with chronic Pseudomonas Temsirolimus aeruginosa infection represent a complex environment which shapes evolution of the bacteria (Yang et al., 2011). The complexity of the environment is due to differences in the inflammatory process and antibiotic penetration in the

different focal areas of infection which occur in the compartments of the respiratory tree: paranasal sinuses, are conductive and respiratory zones where the bacteria form biofilms (Bjarnsholt et al., 2009; Hoiby et al., 2010). The biofilm mode of growth is the main reason for the failure of antibiotic treatment to eradicate airway infection, allowing the bacteria to persist for decades in the CF lung. It has been shown that P. aeruginosa might survive in the CF lung for more than 200 000 generations, during which evolution through adaptive mutagenesis occurs (Yang et al., 2011). The biofilm mode of growth has been shown to play an important role in the evolution of bacterial diversification (Boles & Singh, 2008). Oxidative stress has been shown to trigger the diversification process both inside (Boles & Singh, 2008; Driffield et al., 2008; Conibear et al., 2009) and outside the biofilm due to inflammation and antibiotic treatment (Ciofu et al., 2005; Kohanski et al.,

2007). As a consequence of bacterial evolution in the CF airways, P. aeruginosa CF strains often exhibit remarkable phenotypic diversity, as documented from the appearance of multiple colony morphology variants, including the mucoid phenotype, the development of hypermutability X-396 nmr and various degree of antimicrobial resistance (Doggett, 1969; Hoiby, 1977; Ciofu et al., 1994; Oliver et al., 2000). It has been proposed that this diversity is associated with specialized adaptation

to the different compartments in the CF airways (Bjarnsholt et al., 2009; Hassett et al., 2010; Mowat et al., 2011). The tolerance of biofilms to antibiotics is a physiological condition that does not involve mutations in resistance genes and allows the bacteria to survive, but not necessarily grow, in the presence of antibiotic concentrations above their planktonic minimal inhibitory concentration (MIC) (Ciofu & Tolker-Nielsen, 2011). Recent research has shown that biofilm tolerance Tau-protein kinase is multifactorial, involving restricted penetration, differential metabolic/physiological activity in bacterial subpopulations of biofilms, presence of persisters and activation of biofilm-specific genes (Fux et al., 2005; Williamson et al., 2012). Here we address the question of how the antibiotic tolerance of biofilms is affected by mucoidy, hypermutability and antibiotic resistance of planktonic cells, based on in vitro investigations. A discussion of the therapeutic recommendations in light of the in vitro results is presented.

Seroprotection rates (hemagglutinin-inhibition [HI] antibody titer 1:40) were 50–94% to all three antigens among adults and 27–80% among children in both seasons. Seroconversion rates (fourfold or more HI antibody rise) were

32–56% among adults and 13–67% among children in both seasons. No significant differences Smad inhibitor were observed between the two groups. In addition, 20/53 adult and 13/21 pediatric recipients received a vaccine containing identical antigens in both of these seasons. Geometric mean titer fold increases of all three antigens in adult recipients were significantly lower than those in recipients who had not received a preceding vaccination. In contrast, in pediatric recipients, there were no significant differences between the groups who had and had not received preceding vaccinations. The number of patients with rejection did not differ significantly between the two groups (0/53 vs. 1/21) in the 2011–12 season. The incidence of influenza after vaccination was significantly different between

adult and pediatric recipients (0/16 vs. 5/15 in 2010–11 and 0/53 vs. 3/21 in 2011–12, respectively). Overall, there were no significant differences in antibody responses between adult and pediatric groups. Influenza infection was www.selleckchem.com/products/gsk1120212-jtp-74057.html more frequent in pediatric recipients. Long-term response to preceding vaccinations appeared to be insufficient in both groups. “
“Natural killer cells are Tacrolimus (FK506) controlled by peptide selective inhibitory receptors for MHC class I, including the killer cell immunoglobulin-like receptors (KIRs). Despite having similar ligands, KIR2DL2 and KIR2DL3 confer different levels of protection to infectious disease. To investigate how changes in peptide repertoire may differentially affect NK cell reactivity, NK cells from KIR2DL2 and KIR2DL3 homozygous donors were tested for activity against different combinations of strong inhibitory (VAPWNSFAL), weak inhibitory (VAPWNSRAL), and antagonist peptide (VAPWNSDAL).

KIR2DL3-positive NK cells were more sensitive to changes in the peptide content of MHC class I than KIR2DL2-positive NK cells. These differences were observed for the weakly inhibitory peptide VAPWNSRAL in single peptide and double peptide experiments (p < 0.01 and p < 0.03, respectively). More significant differences were observed in experiments using all three peptides (p < 0.0001). Mathematical modeling of the experimental data demonstrated that VAPWNSRAL was dominant over VAPWNSFAL in distinguishing KIR2DL3- from KIR2DL2-positive donors. Donors with different KIR genotypes have different responses to changes in the peptide bound by MHC class I. Differences in the response to the peptide content of MHC class I may be one mechanism underlying the protective effects of different KIR genes against infectious disease. "
“Mucins are high molecular weight glycoproteins designed for cellular protection and sensing the external environment.

80 Various approaches have been used to clarify the discrepancies and possible underlying mechanisms, including generation of MDDC or the analysis of peripheral blood DCs in patients with chronic HCV, by studying the effectiveness of recombinant HCV proteins or cell-culture-adapted strains of HCV on DC in vitro. Some researchers also reported that HCV-infected cells trigger a robust IFN response in PDC by a mechanism that requires active viral replication, direct cell–cell contact, and Toll-like receptor 7 (TLR7) signalling, and showed that the activated PDC supernatant inhibits HCV infection in an IFN receptor-dependent manner.81 As there is clearly controversy regarding MDC’s ability to activate

T cells, it is unclear whether on a per cell basis MDCs from HCV-infected individuals are able

to prime naive T cells. Additionally, reduced numbers of peripheral blood MDC have been observed in HCV-infected individuals and may play see more a role in the defective response to vaccine. Canaday et al.82 specifically focused on analysis of peptide–MHC complex formation and presentation, the culmination of uptake, degradation and trafficking of antigen. They FG-4592 research buy found that this specific antigen-presenting cell function is preserved in the setting of chronic HCV infection. As the liver is the primary site for HCV replication, DC changes in peripheral blood may or may not reflect what is happening locally at the site of infection. Several studies demonstrated enrichment selleck of DC in the liver compartment compared with peripheral blood.80 Galle et al.83 employed electron microscopy, immunohistochemistry and immunofluorescence to show that DC are indeed enriched in the livers of HCV-infected individuals. Wertheimer et al.84 also showed a clear enrichment of DC in the intrahepatic compartment

compared with the peripheral circulation. To investigate the contribution of intrahepatic PDC and MDC to local immune responses during HCV infection, Lai et al.85,86 developed methods to isolate and characterize MDC and PDC from human liver. The MDC from HCV-infected liver demonstrated greater expression of MHC class II, CD86 and CD123, that were more efficient stimulators of allogeneic T cells and secreted less IL-10. In contrast, PDC were present at lower frequencies in HCV-infected liver and expressed higher levels of the regulatory receptor BDCA-2. In HCV-infected liver, the combination of enhanced MDC function and a reduced number of PDC might contribute to viral persistence in the face of persistent inflammation. Nattermann et al.87 demonstrated that chronic HCV infection, associated with intrahepatic DC enrichment, migration of DC is markedly affected by interaction of HCV E2 with CD81. A two-photon confocal microscopic analysis revealed that DC and T lymphocytes were rapidly recruited within human liver slices undergoing an ex vivo HCV infection.

TB remains an important cause of death from an infectious agent, only

in the second place to the infection of human immunodeficiency virus [1]. According to the report of 2010 global TB control published by World Health Organization, there were about 9.4 million new TB cases in 2009 and 1.7 million people died from TB [2]. Although various policies have been carried out to consummate TB management all over the world, rising proportion of multidrug-resistant [3] and HIV-positive [4] patients with TB aggravated the situation. Great progress of TB treatment ICG-001 and advancing research for TB diagnosis would help solve this embarrassing situation. Nowadays, common approaches for the diagnosis of TB are mainly based

on clinical features and some laboratory indices such as sputum smear microscopy, culture of M.tb, tuberculin skin test (TST), serological tests, M.tb-related DNA amplification tests, interferon gamma release assay (IGRA), imaging study and histopathology tests [5]. However, characteristics Bafilomycin A1 molecular weight of these examinations: time-consuming procedure, cross-reactive disturbance and invasive operation limit their application to TB diagnosis. In high endemic countries, a lack of trained personal and the high cost of tests is also a challenge [2]. Furthermore, complexity of TB pathogenesis and similarity of TB clinical symptoms compared with other pulmonary diseases result in limited specificity and sensitivity of TB diagnosis. So establishing a simple, rapid examination or figuring out a few new biomarkers of good diagnosis accuracy is quite an urgency for TB control in clinical practice. Traditional proteomic technologies have been used in exploring specific antigens secreted by M.tb, while further validation indicated that they did not have enough diagnostic efficiency for TB [6–8]. A few studies have been performed by proteomics to search new specific T cell antigens for IGRA but no satisfying protein was found [9–11]. Differential expressed proteins between Mycobacterium bovis and M.tb might help discover substitute of tuberculin

purify protein derivative, which might effectively reduce false-positive rate of TST [12–14]. New substitutes were explored by proteomic technology; however, it tetracosactide would take a long time until clinical utility. The classification tree model that involves orderly organized multiple disease biomarkers can distinguish target disease from control ones. The capability of MALDI-TOF MS to rapidly and precisely detect low molecular weight peptides and give out whole proteomic fingerprint of serum helps apply classification tree models to more research fields. In addition, WCX magnetic beads separate proteins and/or peptides of different isoelectric points from complex biological fluids with specific anionic ligands, and this would facilitate the identification of candidate biomarkers by MALDI-TOF MS.

m. immunization. Differences in frequencies achieved by i.m. in comparison to i.n. or i.vag. immunization were statistically significant (p<0.05) in spleens, Y-27632 mouse blood, ILN and GT at all post-vaccination time points tested. In the next set of experiments, prime-boost regimens were tested to establish whether systemic and mucosal CD8+ T-cell responses could be enhanced by a second immunization with a heterologous AdC vector expressing the same transgene product. For these experiments, mice were primed either i.n., i.m. or i.vag. with AdC6gag. Six weeks later, they were boosted

i.n., i.vag. or i.m. (i.m. for the i.m.-primed group only) with AdC68gag. Frequencies of Gag-specific CD8+ T cells were analyzed 2 wk before and 2 and 4 wk after the boost (Fig. 1B). GT and NALT were assessed after immunization with regimens inducing

the highest responses against HIV-Gag in systemic compartments. Briefly, i.m.-primed/i.m.-boosted mice were also analyzed for frequencies of tet+CD8+ T cells at 1 year after booster immunization to determine the longevity of the response. Vaginal booster immunization failed to increase frequencies of Gag-specific CD8+ T cells in systemic compartments of i.m.-primed mice. However, i.vag. boost of i.n.-primed mice elicited an increase of frequencies in spleen and blood, although less pronounced than the i.m./i.m. Selleck Anti-infection Compound Library regimen (p<0.05). Frequencies were higher in spleen, blood, ILN and GT for the group receiving two doses through systemic routes in comparison to groups receiving at least one mucosal administration (p<0.05). Within the GT, frequencies of Gag-specific CD8+ T cells increased after i.n./i.vag. or i.m./i.m. regimens, being more pronounced in the group receiving the vectors systemically (p<0.01). At 2 and 4 wk after the i.m/.im. prime-boost immunization, frequencies at the GT exceeded those from blood (p<0.01). At 1 year after the i.m./i.m. regimen, Gag-specific CD8+ T cells could still be detected in the GT although frequencies were not statistically different from those in blood (p<0.05)

and had decreased compared with those detected at 4 wk after boost (p<0.05). At that time, frequencies in spleens and ILN remained stable and those in blood decreased, presumably reflecting a loss of the more activated PtdIns(3,4)P2 effector/effector memory cells (p<0.05). To gain insight into functional properties of Gag-specific T cells, we conducted ELISpot assays for IFN-γ and IL-2. Figure 2A shows IFN-γ secretion by splenocytes isolated from mice that received AdC6gag i.m. Concomitantly with the ELISpot assays, cells were tested by flow cytometry to determine the frequencies of CD8+ T cells and results were normalized to reflect spots per 106 CD8+ T cells. In the ELISpot assay, cells were stimulated with either the AMQMLKETI peptide, which carries an immunodominat MHC class I epitope of gag for H-2kd mice or with a pool of peptides representing the entire Gag sequence.

“
“Systemic lupus erythematosus (SLE) and lupus nephritis (LN) have strong concomitance with cardiovascular disease that cannot fully be explained by typical risk factors. We examined the possibility that serum or urine expression of adipokines may act as biomarkers for LN, since these proteins have previously been associated with cardiovascular disease as well as SLE. Antibody arrays were performed on serum and urine from lupus patients and matched controls using a cross-sectional study design. From the initial array-based screening data of 15 adipokines, adiponectin, leptin, and resistin were selected for validation by ELISA. Correlations were determined between

adipokine expression levels and measures of disease activity or lupus nephritis. Expression of adiponectin and resistin were increased in both sera and urine from LN patients, while leptin was increased

see more in LN patient sera, as compared to matched controls. Serum resistin, but not urine resistin, was correlated with measures of renal dysfunction in LN. Serum resistin expression may be useful as a marker of renal dysfunction in patients with LN though longitudinal studies are warranted. Further Quizartinib studies are necessary to determine if resistin has functional consequences in LN. “
“Oestradiol and the selective oestrogen receptor modulator (SERM) raloxifene have been shown to ameliorate collagen-induced arthritis (CIA) in rats and in mice. One aim was to investigate if raloxifene exerts its anti-arthritic and anti-osteoporotic effects during the induction or effector phase of arthritis. A second aim was to analyse if raloxifene activates the oestrogen response element (ERE) to produce its immune-modulator effects. CIA or collagen–antibody-induced arthritis (CAIA) was induced in ovariectomized Etomidate DBA/1-mice. CIA was used for evaluation of treatment during the induction, and CAIA for the effector phase of arthritis and osteoporosis development. Raloxifene, oestradiol or vehicle was administered 5 days/week. The clinical disease was evaluated continuously. Bone marrow density (BMD) was analysed with peripheral quantitative computer tomography, paws were collected for histological examination, and sera

were analysed for markers of bone and cartilage turnover and proinflammatory cytokines. Transgenic luciferase (Luc)-ERE mice were immunized with collagen (CII), and after 10 days injected once with raloxifene, oestradiol or vehicle before termination. Spleens were analysed for luciferase activity to measure ERE activation. Treatment with oestradiol or raloxifene during the induction phase of CIA failed to affect arthritis. Raloxifene did not hamper disease activity in CAIA, whereas oestradiol delayed the onset and ameliorated the severity. Both raloxifene and oestradiol preserved BMD in CAIA. CII-immunization increased the oestradiol-induced ERE activation in spleen, and raloxifene activated the ERE at about 25% the intensity of oestradiol.

104 Beyond HCV core protein and

NS3, NS4 also suppressed T-cell responses as a result of the effect on monocytes or DC. The DCs produce high levels of type I IFN in response to double-stranded RNA generated upon viral replication.105 However, HCV suppresses this response via the NS3–NS4A viral protein, which blocks IFN regulatory factor 3-mediated induction of type I IFN.106 In Brady et al.’s study,107 supernatants from NS4-stimulated monocytes inhibited LPS-induced maturation of DC and suppressed their capacity to stimulate proliferation and IFN-γ production by allospecific T cells. Their data suggested that HCV subverts cellular immunity by inducing IL-10 and inhibiting IL-12 production by monocytes, which in turn inhibits the activation of DC that drive the differentiation of Th1 cells. Takaki et al.108 also found that HCV non-structural proteins, particularly NS4, change the iDC Talazoparib datasheet phenotype and reduce antigen-specific T-cell stimulatory function with Th1 cytokine reductions. HCV NS5 was also shown to impair PDC function with

several other in vivo studies indicating decreased numbers and impaired function of PDC in chronically HCV-infected patients.109 Venetoclax cost Over-expression of HCV core, NS3, NS5A or NS5B proteins induced apoptosis in mature DC.110 Likewise, individual HCV proteins, Core, NS3, NS4, NS5 as well as fused polyprotein (Core–NS3–NS4) were found to impair functions of both iDC and mDC by regulating the expression of co-stimulatory and antigen presentation molecules, strikingly reducing IL-12 secretion, inducing

the expression of FasL to mediate apoptosis, interfering with allo-stimulatory capacity, inhibiting TLR signalling and inhibiting nuclear translocation of nuclear factor-κB in DC.111 It is reported that increased PD-L1 expression and PD-L1/CD86 ratio on DC was associated with impaired DC function in HCV infection.112 Further indications that HCV affects DC function came directly from studies using the cell culture-produced HCV (HCVcc). Culture with HCVcc demonstrated inhibition of maturation of MDDC induced by a cocktail of cytokines (IL-1β, TNF, IL-6, prostaglandin E2) Histidine ammonia-lyase while enhancing the production of IL-10. In addition, DC exposed to HCVcc were impaired in their ability to stimulate antigen-specific T-cell responses.71 Similar experiments performed by Shiina and Rehermann113 proved that HCVcc inhibited TLR-9 mediated IFN-α production by PBMC and PDC. In contrast to its effect on PDC, HCVcc did not inhibit TLR3-mediated and TLR4-mediated maturation and IL-12, IL-6, IL-10, IFN-γ and TNF-α production by MDCs and MDDCs. Likewise, HCVcc altered the capacity of neither MDCs nor MDDCs to induce CD4 T-cell proliferation. Gondois-Rey et al.