There are reports of weight loss and low body mass index (BMI) in patients with AD. The mesial temporal cortex (MTC) is involved in feeding behavior and memory and is preferentially involved in AD. We studied 74 subjects, including 58 AD patients and 16 control subjects, to determine whether BMI is associated with atrophy of the MTC or other brain regions. We used MRI morphometric analysis to provide measures of regional brain atrophy. AD patients had significant brain atrophy in all measured brain regions, except the white matter, compared with normal control subjects. The MTC was the only brain region significantly associated with BMI in AD patients (r = 0.39, p = 0.003). Multiple-regression analysis indicated that addition of brain regions other than the MTC to the model did not significantly add to the prediction of BMI. We conclude that low BMI correlates best and specifically with MTC atrophy. This finding supports a connection between limbic system damage and low body weight in AD.
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http://dx.doi.org/10.1212/wnl.46.6.1585 | DOI Listing |
BMC Pharmacol Toxicol
January 2025
Department of Pharmaceutics and Pharmaceutical Technology, Kampala International University, Western Campus, P.O. Box 71, Ishaka - Bushenyi, Uganda.
Background: Piperine, a secondary metabolite, affects the antihyperlipidemic effect of Ezetimibe (EZ). Hyperlipidemia is one of the independent risk factors for cardiovascular disorders such as atherosclerosis. Antihyperlipidemic drugs are essential for reducing cardiovascular events and patient mortality.
View Article and Find Full Text PDFBMC Infect Dis
January 2025
Division of Pulmonary Sciences and Critical Care Medicine, University of Colorado School of Medicine, Aurora, CO, USA.
Background: Low blood absolute lymphocyte count (ALC) may predict severe COVID-19 outcomes. Knowledge gaps remain regarding the relationship of ALC trajectory with clinical outcomes and factors associated with lymphopenia.
Methods: Our post hoc analysis of the Therapeutics for Inpatients with COVID-19 platform trial utilized proportional hazards models to assess relationships between Day (D) 0 lymphopenia (ALC < 0.
Lasers Med Sci
January 2025
Shree Guru Gobind Singh Tricentenary University, Budhera-Gurugram, Haryana, 122006, India.
Numerous research studies have delved into the potential effect of LASER therapy on alleviating pain associated with plantar fasciitis. However, the distinct effects of both High Intensity and Low Intensity LASER therapy (HILT/LILT) on addressing plantar fasciitis pain have not been thoroughly investigated. This systematic review seeks to provide a comprehensive summary of the present body of literature regarding the use of LASER therapy in managing pain related to plantar fasciitis.
View Article and Find Full Text PDFNat Biotechnol
January 2025
Institute for Intelligent Biotechnologies (iBIO), Helmholtz Center Munich, Neuherberg, Germany.
Efficient and accurate nanocarrier development for targeted drug delivery is hindered by a lack of methods to analyze its cell-level biodistribution across whole organisms. Here we present Single Cell Precision Nanocarrier Identification (SCP-Nano), an integrated experimental and deep learning pipeline to comprehensively quantify the targeting of nanocarriers throughout the whole mouse body at single-cell resolution. SCP-Nano reveals the tissue distribution patterns of lipid nanoparticles (LNPs) after different injection routes at doses as low as 0.
View Article and Find Full Text PDFDiabetes Metab Res Rev
January 2025
Key Laboratory of Environmental Stress and Chronic Disease Control & Prevention, Department of Biostatistics and Epidemiology, Ministry of Education, School of Public Health, China Medical University, Shenyang, China.
Aims: Stroke is a common diabetic complication, by which the Chinese visceral adiposity index (CVAI) is confirmed as a better predictor of visceral fat. However, the relationship between CVAI change and the stroke risk among patients with diabetes and prediabetes remains unclear. Therefore, we aimed to examine the association of CVAI trajectory with the risk of stroke.
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