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Multi-scale buffer analysis and explainable machine learning identify urban form factors and thresholds for waterlogging in Shenzhen urban villages during 9·7 rainstorm
Endometriosis-related alterations in the endometrium revealed by integrated single-cell and AI-powered approaches
Abstract Endometriosis, affecting 1 in 9 women, presents treatment and diagnostic challenges. To address these issues, we generated a comprehensive single-cell atlas of endometrial tissue, comprising 466,371 cells from 35 endometriosis and 25 non-endometriosis donors without exogenous hormonal treatment. Detailed analysis reveals significant gene expression changes and altered receptor-ligand interactions present in the endometrium of endometriosis patients, including increased inflammation, adhesion, proliferation, cell survival, and angiogenesis in various cell types. These alterations may enhance endometriosis lesion formation and identify potential therapeutic targets. Using ScaiVision, we trained neural network models to predict endometriosis of varying disease severity (median AUC = 0.83), including one model based solely on a set of 11 genes confirmed as dysregulated in endometriosis patients through differential expression analysis. In conclusion, our findings reveal numerous pathway and ligand-receptor changes in the endometrium of endometriosis patients, offering insights into pathophysiology, potential targets for improved treatments, and predictive models for enhanced outcomes in endometriosis management. Our models, while not yet externally validated, can serve as a tool for hypothesis generation and starting point for further clinical development.
Deaminative C( <i>sp</i> <sup>3</sup> )─C( <i>sp</i> <sup>3</sup> ) Cross-Coupling of Benzylamines with Alcohols and Carboxylic Acids via Radical Sorting
Nanoarchitectonic Semiconductor–Bio Hybrid Systems with Enhanced Charge Transfer for Hydrogen Peroxide Production
Muscle-specific differences in MyHC isoform abundance, metabolic profile and gene expression in cattle
N-glycopedia: libraries for native N-glycan structural analysis
Hot-Carrier Injection and Millisecond Charge Separation from a Robust Heteroleptic Iron(II) Chromophore Immobilized on TiO <sub>2</sub>
Design, synthesis, and anticancer activity of phenoxyacetohydrazide derivatives in burkitt lymphoma
Impact of a whole food, plant-based diet on LDL-cholesterol and cardiovascular risk factors in adults with heterozygous familial hypercholesterolemia: a randomized, two-period, two-treatment, crossover, fully controlled feeding trial
Abstract Heterozygous familial hypercholesterolemia (HeFH) is a genetic disorder that accelerates atherosclerosis and leads to premature cardiovascular diseases (CVD). Whole food, plant-based diets (WFPB) are recommended worldwide for their cardioprotective properties but evidence regarding their effects in HeFH management remains unavailable. This study aims to evaluate the impact of a WFPB, in place of a standard American diet (SAD), on LDL-cholesterol (LDL-C) (primary outcome) and other CVD risk factors among adults with HeFH. In this randomized, two-period, two-treatment, crossover, controlled feeding trial, 50 adults with genetically confirmed HeFH, free of cholesterol-lowering medication, consumed a WFPB and a SAD for 4 weeks each in a random order, under fully controlled, isocaloric feeding conditions. The diets were separated by a two- to four-week washout period. LDL-C and other CVD risk factors were measured at the end of each diet. The WFPB induced a clinically significant reduction in LDL-C relative to the SAD ( − 17.9%, 95% CI: −21.7%, −14.3%; P < 0.0001). The study demonstrates the clinical significance of diet therapy in HeFH and supports its re-establishment as a cornerstone in clinical guidelines (clinicaltrials.gov registration: NCT05181553; funding: Canadian Institutes of Health Research).