98%
921
2 minutes
20
Post-stroke cognitive impairment (PSCI) is a common complication following a stroke that significantly affects patients' quality of life and rehabilitation outcomes. It also imposes a heavy economic burden. There is an urgent need to better understand the pathophysiology and pathogenesis of PSCI, as well as to identify markers that can predict PSCI early in the clinical stage, facilitating early prevention, monitoring, and treatment. Although the mechanisms underlying PSCI are complex and multifaceted, involving factors such as atherosclerosis and neuroinflammation, metabolic disorders also play a critical role. This article primarily reviews the relationship between metabolic disorders of the three major nutrients-sugar, fat, and protein-and the development of cognitive dysfunction following ischemic stroke (IS). It aims to elucidate how these metabolic disturbances contribute to cognitive dysfunction post-stroke and to explore potential metabolic biomarkers for PSCI. We believe that this review will offer new insights into the early identification, treatment, and prognostic assessment of PSCI.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11794095 | PMC |
http://dx.doi.org/10.3389/fendo.2025.1500650 | DOI Listing |
Genet Med
September 2025
Institute for Clinical and Translational Science, University of California, Irvine, CA, USA.
Purpose: Advancements in sequencing technologies have significantly improved clinical genetic testing, yet the diagnostic yield remains around 30-40%. Emerging technologies are now being deployed to address the remaining diagnostic gap.
Methods: We tested whether short-read genome sequencing could increase the diagnostic yield in individuals enrolled into the UCI-GREGoR research study, who had suspected Mendelian conditions and prior inconclusive testing.
Dan Med J
August 2025
Department of Hepatology and Gastroenterology, Aarhus University Hospital.
Introduction: A no-biopsy approach has been suggested for diagnosing coeliac disease (CD) in adult patients. This approach is already well established in diagnosing children with CD. This study aimed to evaluate the accuracy of IgA anti-tissue transglutaminase (IgA anti-tTG) in predicting duodenal mucosal lesions diagnostic of CD in adult patients.
View Article and Find Full Text PDFDan Med J
August 2025
Department of Cardiology, Copenhagen University Hospital - Bispebjerg and Frederiksberg Hospital.
Introduction: Cardiac amyloidosis is an underdiagnosed disease, and its prevalence is probably higher than previously estimated. We aimed to investigate the effect of introducing a systemic diagnostic algorithm for cardiac amyloidosis in clinical practice.
Methods: A systematic diagnostic algorithm was developed and clinically applied in two hospitals in Eastern Denmark.
Med Trop Sante Int
July 2025
Unité des maladies infectieuses et tropicales et CIC Inserm 1424, Centre hospitalier de Cayenne, Cayenne, Guyane.
Tahiti or the "myth of Paradise", Bora Bora, "the Pearl of the Pacific". Who has never wanted to take a plane and come and land on the heavenly beaches of Polynesia, a French territory at the antipodes of mainland France lost in the middle of the Pacific? However, we do not imagine that 60% of Polynesians live below the metropolitan low-income threshold or that life expectancy is lower than that of the mainland due to the high prevalence of cardiovascular diseases with three quarters overweight population.In addition to non-transmissible metabolic diseases, various pathologies common to temperate countries present specificities in Polynesia, leading to sometimes different management and medical reasoning.
View Article and Find Full Text PDFFront Immunol
September 2025
Guangxi Key Laboratory of AIDS Prevention and Treatment & School of Public Health, Guangxi Medical University, Nanning, Guangxi, China.
Background: People living with HIV(PLWH) are a high-risk population for cancer. We conducted a pioneering study on the gut microbiota of PLWH with various types of cancer, revealing key microbiota.
Methods: We collected stool samples from 54 PLWH who have cancer (PLWH-C), including Kaposi's sarcoma (KS, n=7), lymphoma (L, n=22), lung cancer (LC, n=12), and colorectal cancer (CRC, n=13), 55 PLWH who do not have cancer (PLWH-NC), and 49 people living without HIV (Ctrl).