This is a rare syndrome, most likely of several genetically determined neurodegenerative disorders with similar pathogenesis. Two forms of the disease are distinguished: familial occurring in about 50% of cases and sporadic with about 15% of cases in which parental consanguinity is found. Clinically, NBIA-1 is characterised by a slow progression of extrapyramidal symptoms and progressive dementia, mostly in children. Relentlessly progressive course is obvious, but the progress may be very slow, taking sometimes several dozen of years. Four subtypes of the disease have been thus far distinguished: early childhood, late childhood, adult onset and with protracted course. The clinical diagnosis of NBIA-1 is only probable because specific abnormalities have not as yet been detected in laboratory investigations. However, NBIA-1 should be suspected, if extrapyramidal symptoms are observed, such as dystonia, choreoathetosis, muscular rigidity, moreover dementia, retinal degeneration and/or optic nerve atrophy and characteristic magnetic resonance imaging (so called "the eye-of-the tiger" sign). At present, only comprehensive symptomatic treatment is possible.
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Comput Biol Med
January 2025
School of Automation Science and Engineering, South China University of Technology, Guangzhou, China. Electronic address:
Breast cancer poses a significant health threat worldwide. Contrastive learning has emerged as an effective method to extract critical lesion features from mammograms, thereby offering a potent tool for breast cancer screening and analysis. A crucial aspect of contrastive learning is negative sampling, where the selection of hard negative samples is essential for driving representations to retain detailed lesion information.
View Article and Find Full Text PDFBiosens Bioelectron
January 2025
Key Lab for Special Functional Materials of Ministry of Education, and School of Nanoscience and Materials Engineering, Henan University, 475004, Kaifeng, China. Electronic address:
Influenza A virus (IAV) and influenza B virus (IBV) with similar symptoms of infection caused a serious disease burden and economic losses in annual epidemic season, so it is important to quickly and accurately detect and distinguish between IAV and IBV during influenza season. Herein, the quantum dot microspheres (QDMS) were synthesized and applied to lateral flow immunoassays (LFIA), and a point-of-care (POC) biosensor that can discriminately and simultaneously diagnose IAV and IBV within 10 min was established. A double-sandwich QDMS nanotags was synthesized by immobilizing hydrophobic quantum dots (QDs) with chemical bonding method on a silica sphere template with an outer silica shell protection showed excellent stability and high fluorescence.
View Article and Find Full Text PDFInt J Surg
January 2025
Department of neurosurgery, Xuanwu Hospital, Capital Medical University, Beijing, China.
Background: Risk factors and mechanisms of cognitive impairment (CI) after aneurysmal subarachnoid hemorrhage (aSAH) are unclear. This study used a neuropsychological battery, MRI, ERP and CSF and plasma biomarkers to predict long-term cognitive impairment after aSAH.
Materials And Methods: 214 patients hospitalized with aSAH (n = 125) or unruptured intracranial aneurysms (UIA) (n = 89) were included in this prospective cohort study.
J Periodontol
January 2025
Stomatology Hospital, School of Stomatology, Zhejiang University School of Medicine, Zhejiang Provincial Clinical Research Center for Oral Diseases, Key Laboratory of Oral Biomedical Research of Zhejiang Province, Cancer Center of Zhejiang University, Hangzhou, China.
Background: The clinical evidence about alveolar ridge changes following molar extraction and how the alveolar bone morphology influences the ridge dimensional changes remains limited.
Methods: A total of 192 patients with 199 molar extractions were included in this retrospective study. Cone-beam computed tomography (CBCT) images of patients were obtained 0-3 months pre extraction and 6-12 months post extraction.
Alzheimers Dement
January 2025
Laboratory for Cognitive Neurology, Department of Neurosciences, Leuven Brain Institute, KU Leuven, Leuven, Belgium.
Introduction: The automated analysis of connected speech using natural language processing (NLP) emerges as a possible biomarker for Alzheimer's disease (AD). However, it remains unclear which types of connected speech are most sensitive and specific for the detection of AD.
Methods: We applied a language model to automatically transcribed connected speech from 114 Flemish-speaking individuals to first distinguish early AD patients from amyloid negative cognitively unimpaired (CU) and then amyloid negative from amyloid positive CU individuals using five different types of connected speech.
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