Author(s): Nikolic M; Caswell CB; Prada NP; Iqbal M; Cox SML; Jaworska N; Castellanos-Ryan N; Vitaro F; Brendgen M; Parent S; Boivin M; Côté S; Tremblay RE; Séguin JR; Leyton M;

Background: We recently reported evidence that a biopsychosocial model predicts lifetime histories of commonly comorbid early-onset psychiatric disorders. This transdiagnostic model was produced when incorporating either positron emission tomography-measured midbrain dopamine autoreceptors or f ...

Article GUID: 42293407

Author(s): Wu N; Joyal-Desmarais K; Linkins LA; Flórez ID; Bacon SL;

Background: The COVID-19 pandemic demanded evidence synthesis approaches that could keep pace with rapidly evolving science and urgent policy needs. Rapid reviews and living evidence syntheses (LES) emerged as critical methodological responses, yet limited guidance exists for teams undertaking such work, particularly regarding the operational challenges ...

Article GUID: 42282099

Author(s): Chukwuejim S; Fatoki TH; Aluko RE;

Arginase is a binuclear manganese metalloenzyme that modulates L-arginine availability and downstream metabolic pathways. It was hypothesized that C-terminal arginine-containing peptides generated through simulated gastrointestinal digestion of white lupin (Lupinus albus) proteins would exhibit arginase inhibitory activity. To test this hypothesis, inte ...

Article GUID: 42232067

Author(s): Brancheriau CR; Larocque K; Schick G; Tountas I; Perlman A; Piekny A;

Cytokinesis, the final step of cell division, relies on ingression of a precisely positioned actomyosin ring. Chromatin-associated Ran-GTP fine-tunes ring position, although the mechanism remains unclear. We hypothesize that depletion of Ran-GTP between segregating chromosomes leads to equatorial enrichment of importins, promoting recruitment of the sca ...

Article GUID: 42225064

Author(s): Cohen TR; Bains A; Ball GDC; Faustini C; Heidl A; Morrison KM;

Few studies have characterized metabolically healthy (MHO) and unhealthy obesity (MUO) in pediatric populations over time. The objective of this study was to determine the prevalence of MHO in children and adolescents enrolled in a weight management program and examine changes in cardiometabolic indicators over 1 year.Methods: Participants from the CANa ...

Article GUID: 42189064

Author(s): Côté M; Ramos Salas X; Carrière K; Alberga AS;

Incretin-based therapies, including glucagon-like peptide-1 receptor agonists (GLP-1RAs), are approved for the treatment of type 2 diabetes, obesity, and related conditions, and have demonstrated significant benefits for individuals with these conditions. However, in recent years, public interest and demand for GLP-1RAs-often driven by media, social med ...

Article GUID: 41986775

Author(s): Ramos Salas X; Hussey B; Alberga AS; Kyle T; Small F;

Article GUID: 41945228

Author(s): Abraha HN; Gebre AK; Sim M; Smith C; Gilani SZ; Ilyas Z; Zarzour F; Schousboe JT; Lix LM; Binkley N; Reid S; Monchka BA; Kimelman D; Lewis JR; Leslie WD;

Background: Sagittal abdominal diameter (SAD), a measure of visceral adiposity, has been linked to major adverse cardiovascular events (MACE). However, the relationship between SAD and abdominal aortic calcification (AAC), a marker of subclinical vascular disease, and whether they independently ...

Article GUID: 41903786

Author(s): Liu-Ambrose T; Falck RS; Dao E; Crockett RA; Barha CK; Silva NCBS; Alkeridy WA; Best JR; Hsiung GR; Field TS; Madden KM; Davis JC; Ten Brinke LF; Tam RC;

Introduction: It is unknown whether progressive resistance training (PRT) improves cognitive function in adults with cerebral small vessel disease and mild cognitive impairment (i.e., subcortical vascular cognitive impairment [SVCI]). Methods: We conducted a 12-month randomized trial comparing ...

Article GUID: 41795685

Author(s): Wannaiampikul S; Lee B; Chen J; Prentice KJ; Ayansola R; Xu A; Santosa S; Pantopoulos K; Sweeney G;

Background: Metabolic Syndrome (MetS) presents a global health challenge, characterized by obesity, hypertension, dyslipidemia, and insulin resistance. Despite recognition of the gut microbiome's role in metabolic health, there remains scope for defining association of unique microbes with ...

Article GUID: 41794383

Author(s): Alicia Estefania Antonio Figueroa

This work implements deep learning models to capture non-linear and complex data behavior in aluminum price data. Deep learning models include the long short-term memory (LSTM) and deep feedforward neural networks (FFNN). The support vector regression (SVR) is employed as a base model for comparison. Each predictive model is tuned by using two different ...

Article GUID: 41751647