VZV-specific CD4-T cells in patients with zoster bear typical features of anergy. This phenotype is reversible and may serve as adjunct tool for monitoring VZV reactivations in high-risk patients.
Aims/hypothesis Intellectual impairment in individuals with Down's syndrome and diabetes mellitus potentially limits the quality of diabetic control. In addition, these patients are at risk of having immunological abnormalities. The present study compared metabolic status and concomitant diseases in young (<20 years old) Down's syndrome patients with diabetes vs young type 1 diabetic patients. Methods The Diabetes-Patienten-Verlaufsdaten is a longitudinal follow-up database, which collects data from 298 German and Austrian diabetes centres. Data available on diabetic patients aged <20 years were analysed statistically.
Serological identification of the cytomegalovirus (CMV) status in children less than 18 months of age is complicated by the variable persistence of maternal antibodies. As T cells are not passively transferred, we attempted to assess whether CMV-specific cellular immunity may be superior to determine the actual CMV status; we also performed a functional characterization of T-cell immunity in childhood. Antibodies from 59 mothers and 168 children were determined, and specific CD4 + T cells were identified by induction of IFN-γ, IL-2, TNF-α, IL-4, and IL-17 after CMV-specific and polyclonal stimulation. Agreement between both tests was perfect for mothers and children more than 18 months. Among infants less than 18 months, 17/30 were concordantly negative. Interestingly, 8/13 seropositive children had detectable CMV-specific T cells, whereas only 5/13 were T-cell negative, indicating passive immunity. CMV-specific T cells from young infants differed in cytokine profiles from that of older age groups, and polyclonal effector T-cell frequencies were higher in young infants with detectable CMV-specific T cells compared with those without. In conclusion, the majority of young infants with CMV-specific antibodies show evidence of true infection, which indicates that passive immunity is overestimated. Our data may have important implications for improved risk stratification and CMV management in infants in the setting of transplantation. Keywords IntroductionComplications related to cytomegalovirus (CMV) are among the most serious infectious complications after organ transplantation Correspondence: Prof. Martina Sester e-mail: martina.sester@uks.eu in both adults and children [1][2][3]. The risk for CMV infection and disease largely depends on the CMV status of the donor and the recipient, which is determined prior to transplantation based on CMV serology. While the determination of CMV-specific humoral * These authors contributed equally to this work. Eur. J. Immunol. 2013. 43: 1099-1108 immunity is a reliable and widely used method to determine evidence of prior infection, it has limitations in clinical situations where passive antibodies may exist due to transfusion of plasma products or due to natural existence of maternal antibodies in young infants. This raises uncertainty as to the correct assignment of the CMV status in recipients or donors after plasma transfusion or in children below the age of 18 months. Based on this uncertainty, current guidelines recommend that the highest risk should be assumed for any transplant arrangement where passive antibody titers may exist in either the donor or the recipient, i.e. the recipient should always be assumed as CMV-negative and the donor should be considered as CMVpositive [1,2]. Based on this clinical dilemma, the development of alternative approaches to assess the actual infection status was recently defined as an important research priority to improve posttransplant management in children [1].We have previously shown in adults that the determination of CMV-specifi...
While an association between PCOS and type 2 diabetes is well established, to date there have been few data on clinical care of type 1 diabetes (T1D) patients with PCOS. The aim of our study was to characterize T1D patients with the comorbidity of PCOS within the DPV cohort with regard to diabetes phenotype, therapy and metabolic control. Clinical data from the prospective German/Austrian DPV cohort on patients with T1D and documented PCOS (n=76) were compared to female T1D controls (n=32,566) in reproductive age. The age at T1D manifestation in PCOS patients was later than in the control group (14.9±8.2 vs. 11.8±7.0 years, p<0.001). PCOS patients had higher BMI-SDS (0.92±0.11 vs. 0.38±0.01, p<0.001), metformin and oral contraceptives were used more frequently (p<0.001). A1c levels were significantly lower (7.92 +/- 0.23% vs. 8.43±0.01%, p<0.05) despite of lower insulin requirements (0.76±0.04 IU/kg/d vs. 0.84±0.00 IU/kg/d, p<0.05). In the PCOS group, higher rates of dyslipidemia (63.4 vs. 48.7%, p =0.032) and thyroid disorders (42.2% vs. 21.2%, p<0.001) were present. While patients with T1D and comorbid PCOS showed features of a "type 1.5 diabetes" phenotype, insulin requirements per kg body weight were not higher and metabolic control was better, which could be explained only partially by additional metformin therapy. A more precise genetic and metabolic characterisation of these patients is needed to answer open questions on the underlying autoimmune process and residual ß-cell function.
Further high-quality research is necessary to increase the proportion of reviews with clear recommendations. Funding and research agencies are key to selecting the most appropriate research programs.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.