Peeleodom2430

To evaluate the baseline features associated with blindness in a cohort of children with primary congenital glaucoma (PCG) from a hospital registry.

Retrospective clinical cohort study.

Setting Observational cohort study. StudyPopulation The registry included all children who presented to our tertiary care institute between 1995 and 2014 with a diagnosis of childhood glaucoma. ObservationProcedure Baseline characteristics at initial presentation of children with PCG in the registry who were blind at the last follow-up were compared with those who were not blind, using bivariate and then multivariate regressions to account for potential confounders. MainOutcomeMeasures Blindness was defined as a best-corrected visual acuity of 3/60 (20/400) or worse in the better eye at the final follow-up.

The eligible sample consisted of 196 children with a mean age of 9.54 ± 22.44months at presentation. After a mean ± standard deviation follow-up of 8.49 ± 3.85 years, 20 (10.2%) children were blind. The baseline demographic factors, intraocular pressure, horizontal corneal diameter, spherical equivalent, axial length, and corneal thickness, were similar for the "blind" and "not blind" groups (P > .05). In the multivariate regression, only the severity of corneal opacification remained significantly (P < .001) associated with the risk of blindness (odds ratio= 4.05; 95% confidence interval 1.89-8.85).

Corneal clouding is a predictor of future blindness in children with PCG. Children with severe corneal clouding may need more aggressive intraocular pressure control, closer follow-up, and earlier counseling.

Corneal clouding is a predictor of future blindness in children with PCG. Children with severe corneal clouding may need more aggressive intraocular pressure control, closer follow-up, and earlier counseling.Gegen Qinlian Decoction (GQD), a traditional Chinese medicine (TCM) formula, has long been used for the treatment of common metabolic diseases, including type 2 diabetes mellitus. However, the main limitation of its wider application is ingredient complexity of this formula. Thus, it is critically important to identify the major active ingredients of GQD and to illustrate mechanisms underlying its action. Here, we compared the effects of GQD and berberine, a hypothetical key active pharmaceutical ingredient of GQD, on a diabetic rat model by comprehensive analyses of gut microbiota, short-chain fatty acids, proinflammatory cytokines, and ileum transcriptomics. Our results show that berberine and GQD had similar effects on lowering blood glucose levels, modulating gut microbiota, inducing ileal gene expression, as well as relieving systemic and local inflammation. As expected, both berberine and GQD treatment significantly altered the overall gut microbiota structure and enriched many butyrate-producing bacteria, including Faecalibacterium and Roseburia, thereby attenuating intestinal inflammation and lowering glucose. Levels of short-chain fatty acids in rat feces were also significantly elevated after treatment with berberine or GQD. Moreover, concentration of serum proinflammatory cytokines and expression of immune-related genes, including Nfkb1, Stat1, and Ifnrg1, in pancreatic islets were significantly reduced after treatment. Our study demonstrates that the main effects of GQD can be attributed to berberine via modulating gut microbiota. The strategy employed would facilitate further standardization and widespread application of TCM in many diseases.Annotating cell types is a critical step in single-cell RNA sequencing (scRNA-seq) data analysis. Some supervised or semi-supervised classification methods have recently emerged to enable automated cell type identification. However, comprehensive evaluations of these methods are lacking. Moreover, it is not clear whether some classification methods originally designed for analyzing other bulk omics data are adaptable to scRNA-seq analysis. In this study, we evaluated ten cell-type annotation methods publicly available as R packages. Eight of them are popular methods developed specifically for single-cell research, including Seurat, scmap, SingleR, CHETAH, SingleCellNet, scID, Garnett, and SCINA. The other two methods were repurposed from deconvoluting DNA methylation data, i.e., linear constrained projection (CP) and robust partial correlations (RPC). We conducted systematic comparisons on a wide variety of public scRNA-seq datasets as well as simulation data. We assessed the accuracy through intra-dataset and inter-dataset predictions; the robustness over practical challenges such as gene filtering, high similarity among cell types, and increased cell type classes; as well as the detection of rare and unknown cell types. Overall, methods such as Seurat, SingleR, CP, RPC, and SingleCellNet performed well, with Seurat being the best at annotating major cell types. Additionally, Seurat, SingleR, CP, and RPC were more robust against downsampling. However, Seurat did have a major drawback at predicting rare cell populations, and it was suboptimal at differentiating cell types highly similar to each other, compared to SingleR and RPC. All the code and data are available from https//github.com/qianhuiSenn/scRNA_cell_deconv_benchmark.Wolfiporia cocos (F. A. Wolf) has been praised as a food delicacy and medicine for centuries in China. Here, we present the genome and transcriptome of the Chinese strain CGMCC5.78 of W. cocos. EHT 1864 clinical trial High-confidence functional prediction was made for 9277 genes among the 10,908 total predicted gene models in the W. cocos genome. Up to 2838 differentially expressed genes (DEGs) were identified to be related to sclerotial development by comparing the transcriptomes of mycelial and sclerotial tissues. These DEGs are involved in mating processes, differentiation of fruiting body tissues, and metabolic pathways. A number of genes encoding enzymes and regulatory factors related to polysaccharide and triterpenoid production were strikingly regulated. A potential triterpenoid gene cluster including the signature lanosterol synthase (LSS) gene and its modified components were annotated. In addition, five nonribosomal peptide synthase (NRPS)-like gene clusters, eight polyketide synthase (PKS) gene clusters, and 15 terpene gene clusters were discovered in the genome.