Objective: To establish the sensitivity and specificity of serum and CSF antibodies targeting the gangliosides GQ1b (GQ1bAb) in isolated ophthalmologic syndromes, such as acute ophthalmoplegia (AO) and optic neuritis (ON), caused by disorders other than Miller-Fisher syndrome (MFS).
Methods: We measured serum and CSF GQ1bAb in patients with MFS and with AO or ON caused by other disorders than MFS.
Results: Twenty-one patients with AO (21 serum, 9 CSF), 13 with ON (13 serum, 13 CSF), and 12 with MFS (12 serum, 10 CSF) were included in the study. There were no significant differences in age, sex, and CSF findings between the AO and MFS groups. Elevated serum GQ1b titers occurred in 11 of 12 patients with MFS but in only 1 of the 34 patients without MFS. Sensitivity was 92% (95% confidence interval [CI] 62%-100%) and specificity 97% (95% CI 85%-100%). In CSF, GQ1bAb were identified in 2 of 10 patients with MFS but in none with other disorders. Sensitivity was 20% (95% CI 2%-56%) and specificity 100% (95% CI 85%-100%).
Conclusions: Increased serum GQ1bAb are highly specific for MFS. Measurement of GQ1bAb in CSF does not improve diagnosis.
Classification Of Evidence: This study provides Class III evidence that serum GQ1bAb accurately distinguish MFS from other disorders (sensitivity 92%, 95% CI 62%-100%; specificity 97%, 95% CI 85%-100%).
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http://dx.doi.org/10.1212/WNL.0000000000002558 | DOI Listing |
Front Oncol
January 2025
The Second Department of General Surgery, the Fourth Hospital of Hebei Medical University, Hebei, Shijiazhuang, China.
Background: Stromal-cell-derived factor 1 (SDF-1) plays a crucial role in hematopoiesis and has been implicated in acute myeloid leukemia (AML) pathogenesis. Understanding its relationship with chemotherapy outcomes could lead to improved therapeutic approaches for elderly AML patients.
Methods: This study retrospectively analyzed the medical records of elderly AML patients (n = 187) and compared serum SDF-1α levels with age-matched controls (n = 120).
J Orthop Translat
January 2025
Musculoskeletal Research Laboratory of Department of Orthopaedics & Traumatology and Innovative Orthopaedic Biomaterial & Drug Translational Research Laboratory, Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong, China.
The orthopaedic community frequently encounters polytrauma individuals with concomitant traumatic brain injury (TBI) and their fractures demonstrate accelerated fracture union, but the mechanisms remain far from clear. Animal and clinical studies demonstrate robust callus formation at the early healing process and expedited radiographical union. In humans, robust callus formation in TBI occurs independently of fracture fixation methods across multiple fracture sites.
View Article and Find Full Text PDFIntroduction: Alzheimer's disease (AD) lacks a less invasive and early detectable biomarker. Here, we investigated the biomarker potential of miR-501-3p and miR-502-3p using different AD sources.
Methods: MiR-501-3p and miR-502-3p expressions were evaluated in AD CSF exosomes, serum exosomes, familial and sporadic AD fibroblasts and B-lymphocytes by qRT-PCR analysis.
Brain Behav
January 2025
Department of Neurology, Huashan Hospital, Fudan University, Shanghai, People's Republic of China.
Background: The diagnostic and prognostic values of serum neurofilament light chain (sNfL), in comparison to cerebrospinal fluid (CSF) neurofilament light chain (cNfL), and other clinical parameters in amyotrophic lateral sclerosis (ALS) at the time of diagnosis remain elusive.
Methods: We examine paired serum and CSF samples from 80 ALS patients and 21 control subjects, all obtained at the time of diagnosis. Additional serum samples were collected from 51 other ALS patients.
Discov Oncol
January 2025
School of Medicine, Hamadan University of Medical Sciences, Pajoohesh Blvd, Hamadan, Iran.
Purpose: Paraneoplastic syndromes (PNS) are a group of rare disorders triggered by an immune response to malignancy, characterized by diverse neurological, muscular, and systemic symptoms. This study aims to leverage machine learning to develop a predictive model for cancer diagnosis in patients with paraneoplastic autoantibodies.
Methods: Demographic data included age and sex, and presenting symptoms were recorded.
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