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| http://dx.doi.org/10.1590/S1806-37562018000000279 | DOI Listing |
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Discovery of robust and highly specific microbiome signatures of non-alcoholic fatty liver disease.
Microbiome
January 2025
Department of Microbiome Dynamics, Leibniz Institute for Natural Product Research and Infection Biology - Hans Knöll Institute, Beutenbergstraße 11A, Jena, 07745, Germany.
Background: The pathogenesis of non-alcoholic fatty liver disease (NAFLD) with a global prevalence of 30% is multifactorial and the involvement of gut bacteria has been recently proposed. However, finding robust bacterial signatures of NAFLD has been a great challenge, mainly due to its co-occurrence with other metabolic diseases.
Results: Here, we collected public metagenomic data and integrated the taxonomy profiles with in silico generated community metabolic outputs, and detailed clinical data, of 1206 Chinese subjects w/wo metabolic diseases, including NAFLD (obese and lean), obesity, T2D, hypertension, and atherosclerosis.
Childhood obesity poses a significant public health challenge, yet the molecular intricacies underlying its pathobiology remain elusive. Leveraging extensive multi-omics profiling (methylome, miRNome, transcriptome, proteins and metabolites) and a rich phenotypic characterization across two parts of Europe within the population-based Human Early Life Exposome project, we unravel the molecular landscape of childhood obesity and associated metabolic dysfunction. Our integrative analysis uncovers three clusters of children defined by specific multi-omics profiles, one of which characterized not only by higher adiposity but also by a high degree of metabolic complications.
View Article and Find Full Text PDFGlobal research interest and publication trends on guided surgery in implant dentistry: A metrics-based analysis.
J Prosthet Dent
January 2025
Professor, Department of Dentistry, Federal University of Santa Catarina (UFSC), Florianopolis, SC, Brazil.
Statement Of Problem: Digital surgical guides improve precision by detailing the direction, position, and angle of implants, which reduces surgery time and complications. A bibliometric analysis of guided surgery in implant dentistry is lacking.
Purpose: The aim of this metrics-based analysis was to analyze the trends and key characteristics of articles related to guided surgery in implant dentistry.
Dynamic regulation and enhancement of synthetic network for efficient biosynthesis of monoterpenoid α-pinene in yeast cell factory.
Bioresour Technol
January 2025
Key Laboratory of Medical Molecule Science and Pharmaceutics Engineering, Ministry of Industry and Information Technology, Institute of Biochemical Engineering, School of Chemistry and Chemical Engineering, Beijing Institute of Technology, Beijing, China; Department of Chemical Engineering, Tsinghua University, Beijing, China; Key Lab for Industrial Biocatalysis, Ministry of Education, Tsinghua University, Beijing, China; Center for Synthetic and Systems Biology, Tsinghua University, Beijing, China; School of Chemistry and Chemical Engineering/State Key Laboratory Incubation Base for Green Processing of Chemical Engineering, Shihezi University, Shihezi, Xinjiang, China. Electronic address:
Pinene is a plant volatile monoterpenoid which is used in the fragrance, pesticide, and biofuel industries. Although α-pinene has been synthesized in microbial cell factories, the low synthesis efficiency has thus far limited its production. In this study, the cell growth and α-pinene production of the engineered yeast were decoupled by a dynamic regulation strategy, resulting in a 101.
View Article and Find Full Text PDFMulti-Scale Pyramid Squeeze Attention Similarity Optimization Classification Neural Network for ERP Detection.
Neural Netw
January 2025
Key Laboratory of Smart Manufacturing in Energy Chemical Process, Ministry of Education, East China University of Science and Technology, Shanghai 200237, China; Center of Intelligent Computing, School of Mathematics, East China University of Science and Technology, Shanghai 200237, China. Electronic address:
Event-related potentials (ERPs) can reveal brain activity elicited by external stimuli. Innovative methods to decode ERPs could enhance the accuracy of brain-computer interface (BCI) technology and promote the understanding of cognitive processes. This paper proposes a novel Multi-Scale Pyramid Squeeze Attention Similarity Optimization Classification Neural Network (MS-PSA-SOC) for ERP Detection.
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