Bardet-Biedl syndrome (BBS) is an autosomal recessive disorder characterized by rod-cone dystrophy, polydactyly, central obesity, mental retardation, and hypogonadism. Although many organs are involved in BBS, hyperammonemia caused by portal hypertension has been reported previously in only a single patient. We describe the second such patient with BBS and hyperammonemia, associated with fluctuating mental impairment. The patient was a 17-year-old boy with BBS. Esophageal, gastric, and rectal varices and mild hepatic dysfunction started to develop at 5 years of age. A liver biopsy showed dilated portal veins with mild fibrosis in portal tract. From the age of 17 years, he often had forced laughter with apparently normal consciousness. Laboratory examinations revealed hyperammonemia (112.2mg/ml). Oral medication lowered the blood ammonia level to 69.9 mg/ml, reduced the frequency of forced laughter, and improved his IQ. Patients with BBS may have additional diseases or conditions that affect mental status, such as hyperammonemia. Physicians should explore the underlying causes of these conditions and treat such patients, who already have a compromised quality of life.
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http://dx.doi.org/10.1016/j.clineuro.2008.08.008 | DOI Listing |
J Clin Med
January 2025
Department of Pediatric Dentistry and Preclinical Dentistry, Medical University in Wroclaw, Krakowska 26, 50-425 Wrocław, Poland.
Facial asymmetry can be attributed to a multitude of underlying causes. Multiple reference points can be utilized for guidance in surgery planning. The scope of mandibular overgrowth and asymmetry should always be measured on CBCT radiographs (cone-beam computed tomography).
View Article and Find Full Text PDFHealthcare (Basel)
January 2025
Institute of Mental Health, University of Nottingham, Nottingham NG7 2RD, UK.
Background: In the United Kingdom, specialist teams managing crises in dementia make efforts to reduce inpatient admissions by supporting people to live for longer in their own homes. However, fluctuations in the health and social circumstances of both the person with dementia and/or their family caregiver can lead to 'crisis': a breakdown in home care often leading to inpatient admissions. At this point, a team managing crises in dementia (TMCD) might become involved.
View Article and Find Full Text PDFSci Rep
January 2025
International Institute for Integrative Sleep Medicine (WPI-IIIS), University of Tsukuba, Tsukuba, Ibaraki, 305- 8575, Japan.
We explore an innovative approach to sleep stage analysis by incorporating complexity features into sleep scoring methods for mice. Traditional sleep scoring relies on the power spectral features of electroencephalogram (EEG) and the electromyogram (EMG) amplitude. We introduced a novel methodology for sleep stage classification based on two types of complexity analysis, namely multiscale entropy and detrended fluctuation analysis.
View Article and Find Full Text PDFFront Hum Neurosci
January 2025
Student Affairs Office, Guilin Normal College, Guilin, China.
Introduction: Attention classification based on EEG signals is crucial for brain-computer interface (BCI) applications. However, noise interference and real-time signal fluctuations hinder accuracy, especially in portable single-channel devices. This study proposes a robust Kalman filtering method combined with a norm-constrained extreme learning machine (ELM) to address these challenges.
View Article and Find Full Text PDFBMC Med
January 2025
Early Intervention Unit, Department of Psychiatry, Affiliated Nanjing Brain Hospital, Nanjing Medical University, 264 Guangzhou Street, Nanjing, China.
Background: Intermediate phenotypes, such as characteristic neuroimaging patterns, offer unique insights into the genetic and stress-related underpinnings of neuropsychiatric disorders like depression. This study aimed to identify neuroimaging intermediate phenotypes associated with depression, bridging etiological factors to behavioral manifestations and connecting insights from animal models to diverse clinical populations.
Methods: We analyzed datasets from both rodents and humans.
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