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The COVID-19 pandemic has severely impacted the mental health of children and adolescents. Young people at risk for anorexia nervosa (AN) have been especially shown to be affected. There are no studies that have investigated the respective proportions of hospitalized children, adolescents, and young adults separately as well as of both sexes during the COVID-19 crisis. This study is based on the administrative data of the largest German statutory health insurance. All children (0-14 years) and adolescents (15-19 years) with a discharge diagnosis of typical and atypical AN according to the International Classification of Diseases (ICD)-10 were included. Admission rates per 10,000 person-years were calculated separately by sex and age group, based on admission numbers from the 9-month interval from January to September of 2019, 2020, and 2021 and the number of insured persons per sex and age group of each year. The entire sample comprised approximately 4.7 million children and adolescents. There was a highly significant increase of 40% (relative risk (RR): 1.4; [1.27, 1.55]; < 0.0001) in admission rates in the female children's and the adolescents' group (RR:1.32; [1.24, 1.41]; p< 0.0001) between the pre-COVID-19 and peri-COVID-19 periods in 2019 and 2021, respectively. Among males, hospitalization rates significantly increased in the children (RR: 1.69; [1.09, 2.62]; < 0.02). Young people appear to be especially prone to develop AN during a crisis, such as with social isolation and school closures. Home-based or mobile pediatric services should be established to prevent this often chronic and disabling disorder in young patients.

Randomized controlled trials (RCTs) are the gold standard for evaluating the efficacy and safety of both pharmacological and non-pharmacological interventions. However, while they are designed to control confounders and ensure internal validity, their usually stringent inclusion and exclusion criteria often limit the generalizability of findings to broader patient populations. Moreover, RCTs are resource-intensive, frequently underpowered to detect rare adverse events, and sometimes narrowly focused due to their highly controlled environments. In contrast, real-world data (RWD), typically derived from electronic health records (EHRs) and claims databases, offers a valuable counterpart for answering research questions that may be impractical to address through RCTs. Recognizing this, the US Food and Drug Administration (FDA) has increasingly relied on real-world evidence (RWE) from RWD to support regulatory decisions and post-market surveillance. Platforms like TriNetX, that leverage large-scale RWD, facilitate collaborations between academia, industry, and healthcare organizations, and constitute an in-depth tool for retrieval and analysis of RWD. TriNetX’s federated network architecture allows real-time, privacy-compliant data access, significantly enhancing the ability to conduct retrospective studies and refine clinical trial designs. With access to currently over 150 million EHRs, TriNetX has proven particularly effective in filling gaps left by RCTs, especially in the context of rare diseases, rare endpoints, and diverse patient populations. As the role of RWD in healthcare continues to expand, TriNetX stands out as a critical tool that complements traditional clinical trials, bridging the gap between controlled research environments and real-world practice. This review provides a comprehensive analysis of the methodologies and applications of the TriNetX platform, highlighting its potential contribution to advance patient care and outcomes.

A large increase in the rate of hospitalizations for adolescents and children with anorexia nervosa (AN) was observed during the coronavirus disease (COVID-19) pandemic. It is still not clear whether this was a temporary effect or whether the increased admission rates persist. Data were retrieved from the largest health insurance in Germany comprising 2.5 million children between 9 and 19 y. All patients of this age group with a discharge diagnosis of typical (AN) and atypical AN (AAN) according to the International Classification of Diseases, Tenth Revision (ICD-10), were included. Admission rates per 10,000 person-years were computed separately by sex, age and type of AN for entire years from 2019 to 2022 and the first half of 2023 in relation to the entire number of insured persons of the same sex and age per year. Two years after the final lockdown admission rates were still significantly higher in adolescent and childhood AN than in the pre-COVID-19 time. While admission rates declined for adolescents in 2023, those for children remained high, with an increase for girls of more than 40% compared with the rate before the pandemic (1.42 (CI 1.26, 1.60);  < 0.0001). The highest admission risk for AAN relative to the pre-COVID-19 period was observed in adolescents in the first half of 2023 (1.6; CI 1.34; 1.90;  < 0.0001). Children appear to be especially vulnerable to the pandemic-associated disruptions. Clinicians should try to determine the ongoing effects of the pandemic and support early detection and treatment of AN to prevent its often lifelong consequences.

Large, longitudinal, multi-center MR neuroimaging studies require comprehensive quality assurance (QA) protocols for assessing the general quality of the compiled data, indicating potential malfunctions in the scanning equipment, and evaluating inter-site differences that need to be accounted for in subsequent analyses. We describe the implementation of a QA protocol for functional magnet resonance imaging (fMRI) data based on the regular measurement of an MRI phantom and an extensive variety of currently published QA statistics. The protocol is implemented in the MACS (Marburg-Münster Affective Disorders Cohort Study, http://for2107.de/), a two-center research consortium studying the neurobiological foundations of affective disorders. Between February 2015 and October 2016, 1214 phantom measurements have been acquired using a standard fMRI protocol. Using 444 healthy control subjects which have been measured between 2014 and 2016 in the cohort, we investigate the extent of between-site differences in contrast to the dependence on subject-specific covariates (age and sex) for structural MRI, fMRI, and diffusion tensor imaging (DTI) data. We show that most of the presented QA statistics differ severely not only between the two scanners used for the cohort but also between experimental settings (e.g. hardware and software changes), demonstrate that some of these statistics depend on external variables (e.g. time of day, temperature), highlight their strong dependence on proper handling of the MRI phantom, and show how the use of a phantom holder may balance this dependence. Site effects, however, do not only exist for the phantom data, but also for human MRI data. Using T1-weighted structural images, we show that total intracranial (TIV), grey matter (GMV), and white matter (WMV) volumes significantly differ between the MR scanners, showing large effect sizes. Voxel-based morphometry (VBM) analyses show that these structural differences observed between scanners are most pronounced in the bilateral basal ganglia, thalamus, and posterior regions. Using DTI data, we also show that fractional anisotropy (FA) differs between sites in almost all regions assessed. When pooling data from multiple centers, our data show that it is a necessity to account not only for inter-site differences but also for hardware and software changes of the scanning equipment. Also, the strong dependence of the QA statistics on the reliable placement of the MRI phantom shows that the use of a phantom holder is recommended to reduce the variance of the QA statistics and thus to increase the probability of detecting potential scanner malfunctions. •Quality assurance (QA) protocol for large, longitudinal, multi-center MR neuroimaging studies.•Dependence of QA statistics on MR-scanner type, hardware and software changes and external variables (e.g., time of day, temperature).•Consequences of phantom data variations for human MRI data.•Dependence of MR phantom placement on QA statistics.

Background Dysbiosis, an imbalance in the bacterial composition of the human gut microbiota, is linked to inflammatory bowel disease (IBD). Advances in biological techniques have generated vast microbiota datasets, presenting both opportunities and challenges for clinical research in that field. Network theory offers powerful tools to analyze these complex datasets. Methods Utilizing genetically unrelated individuals from the Kiel IBD-KC cohort, we compared network properties of the gut microbiota between patients with inflammatory bowel disease (IBD, n  = 522) and healthy controls ( n  = 365), and between Crohn's disease (CD, n  = 230) and Ulcerative Colitis (UC, n  = 280). Correlation-based microbial networks were constructed, with genera as nodes and significant pairwise correlations as edges. We used centrality measures to identify key microbial constituents, called hubs, and suggest a network-based definition for a core microbiota. Using Graphlet theoretical approaches, we analyzed network topology and individual node roles. Results Global network properties differed between cases and controls, with controls showing a potentially more robust network structure characterized by e.g., a greater number of components and a lower edge density. Local network properties varied across all groups. For cases and both UC and CD, Faecalibacterium and Veillonella , and for unaffected controls Bacteroides , Blautia , Clostridium XIVa , and Clostridium XVIII emerged as unique hubs in the respective networks. Graphlet analysis revealed significant differences in terminal node orbits among all groups. Four genera which act as hubs in one state, were found to be terminal nodes in the opposite disease state: Bacteroides , Clostridium XIVa , Faecalibacterium , and Subdoligranulum . Comparing our network-based core microbiota definition with a conventional one showed an overlap in approximately half of the core taxa, while core taxa identified through our new definition maintained high abundance. Conclusion The network-based approach complements previous investigations of alteration of the human gut microbiota in IBD by offering a different perspective that extends beyond a focus solely on highly abundant taxa. Future studies should further investigate functional roles of hubs and terminal nodes as potential targets for interventions and preventions. Additionally, the advantages of the newly proposed network-based core microbiota definition, should be investigated more systematically.

The gut microbiome plays a crucial role in the pathogenesis and progression of inflammatory bowel disease (IBD). Understanding the dynamics of the gut microbiome in relation to treatment can provide valuable insights into disease management and therapy strategies. The aim of this study is to investigate if diversity and composition of the gut microbiome correlate with time since treatment and disease activity during maintenance infliximab (IFX) therapy among children with IBD. Data was collected from IBD patients aged 10-17 participating in an IFX-eHealth study. IFX infusions were administered in 4-12-week intervals based on weekly faecal calprotectin (FC) combined with symptom scores. Excess stool samples underwent microbiome profiling using 16S rRNA gene sequencing. Microbiome features, including alpha diversity and single taxa, were analysed for three key variables: 1) weeks-since-treatment, 2) FC, and 3) symptom score. From 25 patients (median age 14.4 years) diagnosed with Crohn´s Disease (n = 16) or ulcerative colitis (n = 9), microbiota were analysed in 671 faecal samples collected across 15 treatment intervals. A significant decrease over time in Shannon diversity, following the initial increase within four weeks of treatment, was found across patients. FC levels showed no association with alpha diversity (p>0.1), while symptom scores showed a negative association with Shannon and observed diversity in patients with UC. At the genus level, a lower abundance of the genera Anaerostipes and Fusicatenibacter (Firmicutes), and a greater abundance of the genus Parasutterella (Proteobacteria), were associated (p.adj<0.05) with the time elapsed since last infusion in UC specifically, while only Parasutterella was associated across the full cohort (p.adj = 1e-10). We found a recurring reduction over time in alpha diversity following the initial increase in diversity after an IFX infusion. Changes in an individual's microbiome may be an early sign of increasing disease activity that precedes clinical symptoms and increased FC.

In-patient treatment (IP) is the treatment setting of choice for moderately-to-severely ill adolescents with anorexia nervosa, but it is costly, and the risks of relapse and readmissions are high. Day patient treatment (DP) is less expensive and might avoid problems of relapse and readmission by easing the transition from hospital to home. We investigated the safety and efficacy of DP after short inpatient care compared with continued IP. For this multicentre, randomised, open-label, non-inferiority trial, we enrolled female patients (aged 11–18 years) with anorexia nervosa from six centres in Germany. Patients were eligible if they had a body-mass index (BMI) below the tenth percentile and it was their first admission to hospital for anorexia nervosa. We used a computer-generated randomisation sequence to randomly assign patients to continued IP or DP after 3 weeks of inpatient care (1:1; stratified for age and BMI at admission). The treatment programme and treatment intensity in both study groups were identical. The primary outcome was the increase in BMI between the time of admission and a 12-month follow-up adjusted for age and duration of illness (non-inferiority margin of 0·75 kg/m2). Analysis was done by modified intention to treat. This trial is registered with the International Standard Randomised Controlled Trial Number Register, number ISRCTN67783402, and the Deutsches Register Klinischer Studien, number DRKS00000101. Between Feb 2, 2007, to April 27, 2010, we screened 660 patients for eligibility, 172 of whom we randomly allocated to treatment: 85 to IP and 87 to DP. DP was non-inferior to IP with respect to the primary outcome, BMI at the 12-month follow-up (mean difference 0·46 kg/m2 in favour of DP (95% CI, −0·11 to 1·02; pnon-inferiority<0·0001). The number of treatment-related serious adverse events was similar in both study groups (eight in the IP group, seven in the DP group). Three serious adverse events in the IP group and two in the DP group were related to suicidal ideation; one patient in the DP attempted suicide 3 months after she was discharged. DP after short inpatient care in adolescent patients with non-chronic anorexia nervosa seems no less effective than IP for weight restoration and maintenance during the first year after admission. Thus, DP might be a safe and less costly alternative to IP. Our results justify the broad implementation of this approach. German Ministry for Education and Research.

In vitro , spheroid models have become well established in cancer research because they can better mimic certain characteristics of in vivo tumours. However, interaction with the tumour microenvironment, such as cancer-associated fibroblasts, plays a key role in tumour progression. We initially focused on the interaction of tumour cells with fibroblasts. To model this interaction, we developed a spheroid model of ovarian cancer and fibroblasts. To this end, ovarian cancer cell lines and ex vivo primary cells were simultaneously and sequentially seeded with fibroblasts in a scaffold-free system at different ratios and subsequently characterized with respect to changes in morphology, proliferation, and viability. We demonstrated that co-cultures are able to form by far more compact spheroids, especially in cells that form aggregates in mono-culture. In addition, the co-cultures were able to increase proliferation and sensitivity to cisplatin. Simultaneous seeding led fibroblasts invade the core in both cell lines and primary cells. These results show differences in formation, firmness, and size between co-culture and mono-culture. Our model is designed to better represent and characterize the mutual influencing factors of fibroblasts and tumour cells. Fibroblast-supplemented multicellular spheroids are a valuable tool for tumour microenvironment interaction and new drug discovery.

Methodological studies investigating transcranial direct current stimulation (tDCS) over the left dorsolateral prefrontal cortex (lDLPFC) in paediatric populations are limited. Therefore, we investigated in a paediatric population whether stimulation success of multichannel tDCS over the lDLPFC depends on concurrent task performance and individual head anatomy. In a randomised, sham-controlled, double-blind crossover study 22 healthy participants (10–17 years) received 2 mA multichannel anodal tDCS (atDCS) over the lDLPFC with and without a 2-back working memory (WM) task. After stimulation, the 2-back task and a Flanker task were performed. Resting state and task-related EEG were recorded. In 16 participants we calculated the individual electric field (E-field) distribution. Performance and neurophysiological activity in the 2-back task were not affected by atDCS. atDCS reduced reaction times in the Flanker task, independent of whether atDCS had been combined with the 2-back task. Flanker task related beta oscillation increased following stimulation without 2-back task performance. atDCS effects were not correlated with the E-field. We found no effect of multichannel atDCS over the lDLPFC on WM in children/adolescents but a transfer effect on interference control. While this effect on behaviour was independent of concurrent task performance, neurophysiological activity might be more sensitive to cognitive activation during stimulation. However, our results are limited by the small sample size, the lack of an active control group and variations in WM performance.

Recent studies reported an impact of the melanocortin 3 receptor (MC3R) on the regulation of body weight, linear growth and puberty timing. Previously, allele p.44Ile of a frequent non-synonymous variant (NSV) p.Val44Ile was reported to be associated with decreased lean body mass (LBM) and later puberty in both sexes. We Sanger sequenced the coding region of MC3R in 185 children or adolescents with short normal stature (SNS) or 258 individuals with severe obesity, and 192 healthy-lean individuals. Eleven variants (six NSVs) were identified. In-silico analyses ensued. Three rare loss-of-function (LoF) variants (p.Phe45Ser, p.Arg220Ser and p.Ile298Ser) were only found in severely obese individuals. One novel highly conserved NSV (p.Ala214Val), predicted to increase protein stability, was detected in a single lean female. In the individuals with SNS, we observed deviation from Hardy–Weinberg Equilibrium (HWE) ( p  = 0.012) for p.Val44Ile (MAF = 11.62%). Homozygous p.44Ile carriers with SNS had an increased BMI, but this effect did not remain significant after Bonferroni correction. In line with previous findings, the detected LoF NSVs may suggest that dysfunction in MC3R is associated with decreased body height, obesity and delayed puberty.