Results 211 to 220 of about 259,973 (348)

The causal relationship between systemic lupus erythematosus and juvenile myoclonic epilepsy: A Mendelian randomization study and mediation analysis

open access: yesIbrain, Volume 11, Issue 1, Page 98-105, Spring 2025.
Mendelian randomization (MR) studies were conducted using the inverse‐variance weighted (IVW) method, MR‐Egger and weighted median on juvenile myoclonic epilepsy (JME), and systemic lupus erythematosus (SLE) data from the Integrative Epidemiology Unit (IEU) Open genome‐wide association study (GWAS) database and the International League Against Epilepsy
Sirui Chen   +10 more
wiley   +1 more source

Developing the FIGO‐IPPS “R U MOVVING SOMe” classification system for female chronic pelvic pain

open access: yesInternational Journal of Gynecology &Obstetrics, EarlyView.
Abstract The goal was to develop a pragmatic classification system for conditions associated with chronic pelvic pain (CPP), aiming to enhance diagnosis, management, education, and research of CPP. An international, multidisciplinary panel participated in a modified RAND/UCLA Delphi consensus.
Georgine Lamvu   +8 more
wiley   +1 more source

Genetic and Epigenetic Factors in Ulcerative Colitis: A Narrative Literature Review. [PDF]

open access: yesGenes (Basel)
Caba L   +9 more
europepmc   +1 more source

A Dual Action of Everolimus in Ulcerative Colitis: Blocking CLEC4E‐Driven Inflammation and Remodeling the Gut Microbiota‐Metabolite Axis

open access: yesiMetaMed, EarlyView.
Graphical abstract of the major mechanisms of Everolimus in ulcerative colitis: Everolimus, a selective mTORC1 inhibitor, protects against ulcerative colitis through a dual mechanism. First, Eve directly suppresses CLEC4E/Syk/NF‐κB signaling, thereby reducing pro‐inflammatory cytokine production and preserving intestinal barrier integrity.
Jing Chen   +6 more
wiley   +1 more source

Prevalence and Severity of Periodontitis in Patients with Ulcerative Colitis: A Case-Control Study. [PDF]

open access: yesInt J Environ Res Public Health
Soronzonbold A   +3 more
europepmc   +1 more source

Saliva MicroAge: A salivary microbiome based machine learning model for noninvasive aging assessment and health state prediction

open access: yesiMetaOmics, EarlyView.
Saliva MicroAge is a machine learning‐based model designed to estimate biological age and assess health status using globally sourced salivary microbiome data. Trained on 4532 healthy samples, the model achieves high accuracy in predicting chronological age and captures health‐related deviations (MicroAgeGap) in various diseases.
Tiansong Xu   +13 more
wiley   +1 more source

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