Objective: Cognitive dysfunction in bipolar disorder (BD) is well established in the literature. The neurocognitive deficits have been considered to be endophenotypic markers of BD, and studies have examined whether neurocognitive deficits exist in first-degree relatives of individuals with BD I. We hypothesized that performance in tests of neurocognitive function would be impaired in euthymic BD I patients and their unaffected first-degree relatives compared to that of healthy controls.
Methods: We compared the performance of bipolar patients, their first-degree relatives, and healthy controls in a battery of neurocognitive tests to reveal possible endophenotypes of BD. A diagnostic interview and neuropsychological test battery were administered to 30 BD I patients, 55 of their unaffected first-degree relatives and 32 healthy controls.
Results: The patients and their first-degree relatives were significantly impaired in executive function assessed using the Wisconsin Card Sorting Test (WCST) and Trail Making Test-B (TMT-B) relative to the controls (WCST; perseverative errors: p < 0.0005, categories completed: p = 0.002, TMT-B; p = 0.002). There were no significant differences between the groups in terms of attention, psychomotor speed, verbal memory, or learning.
Conclusion: Our study suggests that the deficits in executive function may be endophenotypic markers of genetic vulnerability to BD I.
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http://dx.doi.org/10.3109/13651501.2013.859706 | DOI Listing |
Gastroenterology
December 2024
Division of Gastroenterology and Hepatology, Stanford University School of Medicine, Palo Alto, California.
Description: Gastric cancer (GC) is a leading cause of preventable cancer and mortality in certain US populations. The most impactful way to reduce GC mortality is via primary prevention, namely Helicobacter pylori eradication, and secondary prevention, namely endoscopic screening and surveillance of precancerous conditions, such as gastric intestinal metaplasia (GIM). An emerging body of evidence supports the possible impact of these strategies on GC incidence and mortality in identifiable high-risk populations in the United States.
View Article and Find Full Text PDFEur J Prev Cardiol
December 2024
Cardiovascular and Genomics Institute, City St George's University of London, Cranmer Terrace, London SW17 0RE, UK.
Aims: Sudden arrhythmic death syndrome (SADS) refers to a sudden death, which remains unexplained despite comprehensive post-mortem examination and a toxicological screen. We aimed to investigate the impact of age and sex on the overall diagnostic yield and underlying aetiology in decedents with SADS using a combined approach of familial evaluation (FE) and molecular autopsy (MA).
Methods And Results: Consecutive referrals to a single centre for FE only, MA only or both, following a SADS death were included.
Psychol Res
December 2024
Department of Psychology, University of Almería, Almería, Spain.
Previous research highlights impairments in the recognition of facial expression of emotion in individuals diagnosed with Autism Spectrum Disorder (ASD). Relatives of people with ASD may exhibit similar, albeit subtler, impairments, referred to as the Broad Autism Phenotype (BAP). Recently, the Differential outcomes procedure (DOP) has been shown to enhance this ability in young adults using dynamic stimuli, with fewer intensity levels required to identify fear and surprise.
View Article and Find Full Text PDFJ Pediatr Endocrinol Metab
December 2024
Pediatric Endocrinology Clinic, Bilkent City Hospital, Ankara, Türkiye.
Objectives: Hypothalamic hamartoma (HH) is a rare condition that causes epilepsy and central precocious puberty (CPP) at an early age. In this report, we describe a child with CPP secondary to HH and discuss the current literature.
Case Presentation: A 26-month-old girl was brought to our hospital for evaluation of breast enlargement.
BMC Public Health
December 2024
Department of Cancer Biomedical Science, Graduate School of Cancer Science and Policy, Goyang-si, Gyeonggi-do, Korea.
Background: Given the rapid increase in the prevalence of prostate cancer (PCa), identifying its risk factors and developing suitable risk prediction models has important implications for public health. We used machine learning (ML) approach to screen participants with high risk of PCa and, specifically, investigated whether participants with metabolic syndrome (MetS) exhibited an elevated PCa risk.
Methods: A prospective cohort study was performed with 41,837 participants in South Korea.
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