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| http://dx.doi.org/10.1186/s12937-024-01015-2 | DOI Listing |
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Background: Frequently utilized Alzheimer's disease (AD) preclinical models rely on risk factors expressed in familial AD, which accounts for <1% of the clinical AD population. Apolipoprotein (APOE) ε4 is the strongest genetic risk factor for the development of the more prevalent late-onset Alzheimer's disease (LOAD). MRI studies demonstrate a link between APOE-ε4 and reduced gray matter volume as well as lower fractional anisotropy (FA) in AD patients.
View Article and Find Full Text PDFImpact of Spinal Manipulative Therapy on Brain Function and Pain Alleviation in Lumbar Disc Herniation: A Resting-State fMRI Study.
Chin J Integr Med
December 2024
Department of Spine, The Third Affiliated Hospital of Zhejiang Chinese Medicine University, Hangzhou, 310053, China.
Objective: To elucidate how spinal manipulative therapy (SMT) exerts its analgesic effects through regulating brain function in lumbar disc herniation (LDH) patients by utilizing resting-state functional magnetic resonance imaging (rs-fMRI).
Methods: From September 2021 to September 2023, we enrolled LDH patients (LDH group, n=31) and age- and sex-matched healthy controls (HCs, n=28). LDH group underwent rs-fMRI at 2 distinct time points (TPs): prior to the initiation of SMT (TP1) and subsequent to the completion of the SMT sessions (TP2).
Accurate RNA velocity estimation based on multibatch network reveals complex lineage in batch scRNA-seq data.
BMC Biol
December 2024
School of Computer Science and Technology, Xidian University, Xi'an 710071, Shaanxi, China.
RNA velocity, as an extension of trajectory inference, is an effective method for understanding cell development using single-cell RNA sequencing (scRNA-seq) experiments. However, existing RNA velocity methods are limited by the batch effect because they cannot directly correct for batch effects in the input data, which comprises spliced and unspliced matrices in a proportional relationship. This limitation can lead to an incorrect velocity stream.
View Article and Find Full Text PDFCognitive Impairment and Brain Metabolic Changes in Post-Acute Sequelae of COVID-19: Insights From an [18F]FDG PET/CT Cohort Study.
Clin Nucl Med
December 2024
Hotel Dieu Hospital, Paris-Cité University, APHP, Department of Infectious Disease, Paris, France.
Purpose: Neurological symptoms often prominent in post-acute sequelae of COVID-19 (PASC) necessitate deeper understanding. Our objective was to investigate brain metabolism in PASC and examine correlations with neurological symptoms during both the acute and chronic stages.
Methods: Eighty-seven adults experiencing PASC with neurocognitive symptoms were recruited in the PERSICOR prospective study and examined using brain [18F]FDG PET/CT.
Refinement of post-COVID condition core symptoms, subtypes, determinants, and health impacts: a cohort study integrating real-world data and patient-reported outcomes.
EBioMedicine
December 2024
Centre for Statistics in Medicine and NIHR Biomedical Research Centre Oxford, NDORMS, University of Oxford, Oxford, UK.
Background: Post-COVID-19 condition (PCC) affects millions of people, and is an essential component of the long-term impact of COVID-19 during the post-pandemic era. Yet, consensus on clinical case definition and core components of PCC remains lacking, affecting our ability to inform research and evidence-based management. Our study aims 1) to identify the most specific symptoms for PCC, and identify clinical subtypes; 2) to evaluate both virus- and host-related determinants of PCC, and 3) assess the impact of PCC on physical and mental health.
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