There is not sufficient evidence about whether stool DNA methylation tests allow prioritizing patients to colonoscopy. Due to the COVID-19 pandemic, there will be a wait-list for rescheduling colonoscopies once the mitigation is lifted. The aim of this meta-analysis was to evaluate the accuracy of stool DNA methylation tests in detecting colorectal cancer. The PubMed, Cochrane Library and MEDLINE via Ovid were searched. Studies reporting the accuracy (Sackett phase 2 or 3) of stool DNA methylation tests to detect sporadic colorectal cancer were included. The DerSimonian-Laird method with random-effects model was utilized for meta-analysis. Forty-six studies totaling 16149 patients were included in the meta-analysis. The pooled sensitivity and specificity of all single genes and combinations was 62.7% (57.7%, 67.4%) and 91% (89.5%, 92.2%), respectively. find more Combinations of genes provided higher sensitivity compared to single genes (80.8% [75.1%, 85.4%] vs. 57.8% [52.3%, 63.1%]) with no significant decrease in specificity (87.8% [84.1%, 90.7%] vs. 92.1% [90.4%, 93.5%]). The most accurate single gene was found to be SDC2 with a sensitivity of 83.1% (72.6%, 90.2%) and a specificity of 91.2% (88.6%, 93.2%). Stool DNA methylation tests have high specificity (92%) with relatively lower sensitivity (81%). Combining genes increases sensitivity compared to single gene tests. The single most accurate gene is SDC2, which should be considered for further research.Stool DNA methylation tests have high specificity (92%) with relatively lower sensitivity (81%). Combining genes increases sensitivity compared to single gene tests. The single most accurate gene is SDC2, which should be considered for further research.The Children's Communication Checklist-2 (CCC-2) is often applied to assess pragmatic language impairment which is highly prevalent in autism spectrum disorder (ASD) and several mental health conditions. We replicated previous findings on the limited applicability of the CCC-2 in clinical samples and the inconsistent findings concerning the factor structure. The aim of the present study was, thus, to develop a concise, simplified, and revised version of the CCC-2 in a large German-speaking sample. Four groups of children and adolescents aged 4 to 17 years were included ASD (n = 195), intellectual disability (ID, n = 83), diverse mental health conditions (MHC, n = 144) and a typically developing control group (TD, n = 417). We reduced the original number of items from 70 to 39, based on item analysis, exploratory factor analysis and the exclusion of communication-unrelated items. The revised version, CCC-R (α = 0.96), consists of two empirically derived factors a pragmatic-language (α = 0.96) and a grammaticales pragmatic language and grammatical-semantic language. The CCC-R can be used as a short and clinically relevant caregiver questionnaire which assesses pragmatic language impairments in children and adolescents. Autism Res 2021, 14 759-772. © 2021 The Authors. Autism Research published by International Society for Autism Research published by Wiley Periodicals LLC.In-source collision-induced dissociation (CID) is commonly used with single-stage high-resolution mass spectrometers to gather both a molecular formula and structural information through the collisional activation of analytes with residual background gas in the source region of the mass spectrometer. However, unlike tandem mass spectrometry, in-source CID does not involve an isolation step prior to collisional activation leading to a product ion spectrum composed of fragment ions from any analyte present during the activation event. This work provides the first comparison of in-source CID and beam-type CID spectra of emerging synthetic drugs on the same instrument to understand the fragmentation differences between the two techniques and to contribute to the scientific foundations of in-source CID. Electrospray ionization-quadrupole time-of-flight (ESI-Q-TOF) mass spectrometry was used to generate product ion spectra from in-source CID and beam-type CID for a series of well-characterized fentanyl analogs and synthetic cathinones. A comparison between the fragmentation patterns and relative ion abundances for each technique was performed over a range of fragmentor offset voltages for in-source CID and a range of collision energies for beam-type CID. The results indicate that large fragmentor potentials for in-source CID tend to favor higher energy fragmentation pathways that result in both kinetically favored pathways and consecutive neutral losses, both of which produce more abundant lower mass product ions relative to beam-type CID. Although conditions can be found in which in-source CID and beam-type CID provide similar overall spectra, the in-source CID spectra tend to contain elevated noise and additional chemical background peaks relative to beam-type CID.Spinal supraspinous ligament (SL) osteogenesis is the key risk of ankylosing spondylitis (AS), with an unclear pathogenesis. We previously found that transforming growth factor β1 (TGF-β1), bone morphogenetic proteins (eg BMP2) and type III TGF-β1 receptor (TβRIII) expression were markedly up-regulated in AS-SLs. However, the roles of these closely related molecules in AS are unknown. Here, we showed that BMP2, TGF-β1, TβRIII and S100A4 (a fibroblast marker) were abundant in active osteogenic AS-SL tissues. In vitro, AS-SL fibroblasts (AS-SLFs) showed high BMP2, TGF-β1 and TβRIII expression and auto-osteogenic capacity. We further evaluated the role of TβRIII in the osteogenesis of normal SLFs. BMP2 combined with TGF-β1 induced the osteogenesis of TβRIII-overexpressing SLFs, but the activity was lost in SLFs upon TβRIII knockdown. Moreover, our data suggested that BMP2 combined with TGF-β1 significantly activated both TGF-β1/Smad signalling and BMP2/Smad/RUNX2 signalling to induce osteogenesis of SLFs with TβRIII up-regulation. Furthermore, our multi-strategy molecular interaction analysis approach indicated that TGF-β1 presented BMP2 to TβRIII, sequentially facilitating BMP2 recognition by BMPR1A and promoting the osteogenesis of TβRIII-overexpressing SLFs. Collectively, our results indicate that TGF-β1 combined with BMP2 may participate in the osteogenic differentiation of AS-SLF by acting on up-regulated TβRIII, resulting in excessive activation of both TGF-β1/Smad and BMP2/BMPR1A/Smad/RUNX2 signalling.