Cognitive Impairment in Psychotic Disorders Is Associated with Brain Reductive Stress and Impaired Energy Metabolism as Measured by 31P Magnetic Resonance Spectroscopy.

Background And Hypothesis: Convergent evidence shows the presence of brain metabolic abnormalities in psychotic disorders. This study examined brain reductive stress and energy metabolism in people with psychotic disorders with impaired or average range cognition. We hypothesized that global cognitive impairment would be associated with greater brain metabolic dysregulation.

Biologic Therapy Is Associated With Improved Oncologic Outcomes in Crohn's Disease-Associated Colorectal Cancer.

Background: Patients with Crohn's disease face an elevated risk of colorectal cancer, in part due to underlying chronic inflammation. Biologic therapy is the mainstay of medical treatment; however, the impact of treatment on colorectal cancer-related outcomes remains unclear.

Objective: To investigate the association between prior exposure to biologic treatment and colorectal cancer-related outcomes in patients with underlying Crohn's disease.

Comparative Effectiveness of Amniotic and Chorionic Grafts in the Treatment of Lower-Extremity Diabetic Ulcers Using U.S. Medicare Real-World Evidence (2018-2022): A Retrospective Observational Cohort.

Lower-extremity diabetic ulcers (LEDUs) affect more than 500,000 U.S. Medicare beneficiaries each year.

Medical, Endoscopic, and Surgical Treatments for Rectal Cuffitis in IBD Patients with an Ileal Pouch-Anal Anastomosis: A Narrative Review.

Background: Ulcerative colitis patients who undergo ileal pouch-anal anastomosis (IPAA) without mucosectomy may develop inflammation of the rectal cuff (cuffitis). Treatment of cuffitis typically includes mesalamine suppositories or corticosteroids, but refractory cuffitis may necessitate advanced therapies or procedural interventions. This review aims to summarize the existing literature regarding treatments options for cuffitis.

Active learning of enhancers and silencers in the developing neural retina.

Deep learning is a promising strategy for modeling cis-regulatory elements. However, models trained on genomic sequences often fail to explain why the same transcription factor can activate or repress transcription in different contexts. To address this limitation, we developed an active learning approach to train models that distinguish between enhancers and silencers composed of binding sites for the photoreceptor transcription factor cone-rod homeobox (CRX).