This narrative review describes an overview of the multiple effects of methylphenidate (MPH) in attention-deficit/hyperactivity disorder (ADHD) and its potential neurobiological targets. It addressed the following aspects: 1) MPH effects on attention and executive functions in ADHD; 2) the relation between MPH efficacy and dopamine transporter gene (DAT) polymorphism; and 3) the role of MPH as an epigenetic modulator in ADHD. Literature analysis showed that MPH, the most commonly used psychostimulant in the therapy of ADHD, acts on multiple components of the disorder. Marked improvements in attentional and executive dysfunction have been observed in children with ADHD during treatment with MPH, as well as reductions in neurological soft signs. MPH efficacy may be influenced by polymorphisms in the DAT, and better responses to treatment were associated with the 10/10 genotype. Innovative lines of research have suggested that ADHD etiopathogenesis and its neuropsychological phenotypes also depend on the expression levels of human endogenous retrovirus (HERV). In particular, several studies have revealed that ADHD is associated with HERV-H over-expression and that MPH administration results in decreased expression levels of this retroviral family and a reduction in the main symptoms of the disorder. In conclusion, there is a confirmed role for MPH as an elective drug in the therapy of ADHD alone or in association with behavioral therapy. Its effectiveness can vary based on DAT polymorphisms and can act as a modulator of HERV-H gene expression, pointing to targets for a precision medicine approach.
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http://dx.doi.org/10.3389/fpsyt.2020.531092 | DOI Listing |
Surg Endosc
January 2025
Department of Surgery, Weill Cornell Medicine, New York, NY, USA.
Background: Minimally invasive liver surgery (MILS) is superior to open surgery when considering decreased blood loss, fewer complications, shorter hospital stay, and similar or improved oncologic outcomes. However, operative limitations in laparoscopic hepatectomy have curved its applicability and momentum of complex minimally invasive liver surgery. Transitioning to robotic hepatectomy may bridge this complexity gap.
View Article and Find Full Text PDFInj Prev
January 2025
School of Transportation and Logistics Engineering, Wuhan University of Technology, Wuhan, Hubei, China.
Introduction: Previous research usually focused on high-frequency crash clusters (surrounded by high-frequency crashes), which overlooked outlier locations where high-frequency crashes were surrounded by low-frequency crashes. Neglecting spatiotemporal outliers might overlook critical factors for safety improvements.
Methods: Using pedestrian-vehicle crash data in North Carolina from 2007 to 2019, this study proposes an enhanced spatiotemporal analysis framework (combined with Approximate Nearest Neighbour and the Global Moran I index) to distinguish spatiotemporal crash outliers from aggregated/dispersed patterns.
Foodborne Pathog Dis
January 2025
College of Veterinary Medicine, Xinjiang Agricultural University, Urumqi, China.
This investigation aimed to examine the virulence genes and antimicrobial resistance profiles of Shiga toxin-producing (STEC) strains found in diarrheal calves in Xinjiang between 2016 and 2022. A total of 800 samples, including 232 fecal and 568 rectal swabs from calves under 2 months old with diarrhea, were analyzed for Shiga toxin (Stx)-encoding genes using polymerase chain reaction. The study characterized the isolates based on their subtypes, virulence genes, O serogroups, phylogenetic groups, hemolytic phenotypes, antibiotic resistance, and resistance genes.
View Article and Find Full Text PDFPurpose Of Review: This review aims to evaluate the impact of artificial intelligence (AI) on cancer health equity, specifically investigating whether AI is addressing or widening disparities in cancer outcomes.
Recent Findings: Recent studies demonstrate significant advancements in AI, such as deep learning for cancer diagnosis and predictive analytics for personalized treatment, showing potential for improved precision in care. However, concerns persist about the performance of AI tools across diverse populations due to biased training data.
Am J Clin Nutr
December 2024
Indiana University School of Medicine, Division of Nephrology, Indianapolis, IN, United States.
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