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Filename: helpers/my_audit_helper.php
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Filename: controllers/Detail.php
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Aims: Alpha-2-macroglobulin (MG) is thought to be associated with inflammatory reactions and procoagulant properties that might cause ischemic stroke. Endothelial dysfunction plays an important role in atherosclerosis development and in the occurrence of cardiovascular events. In this study, we investigated whether serum MG levels, endothelial function, and endothelial progenitor cell (EPC) number were associated in patients with chronic stroke or cardiovascular risk factors.
Methods: Patients with a history of stroke or any established cardiovascular risk factors were enrolled in this study (n=102; 69 men, 70.1±9.2 years). Endothelial function was assessed by flow-mediated dilation (FMD). EPC numbers (CD34+/CD133+) were measured using flow cytometry (n=91). Serum MG levels were measured by nephelometry.
Results: Patients in the highest tertile of serum MG levels were older (P=0.019) and more frequently exhibited dyslipidemia (P=0.021). Univariate-regression analysis revealed that increased MG levels were negatively associated with FMD values (r=-0.25; P=0.010), whereas increased EPC numbers were positively associated (r=0.21; P=0.044). Multivariate-regression analysis adjusted for male gender, hypertension, and severe white-matter lesions showed that serum MG levels were independently associated with FMD values (standardized partial regression coefficient [β] -0.185; P=0.033), although not significantly associated with EPC numbers.
Conclusion: Serum MG levels might reflect endothelial dysfunction evaluated by FMD in patients with chronic stroke or cardiovascular risk factors.
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http://dx.doi.org/10.5551/jat.41335 | DOI Listing |
Orphanet J Rare Dis
December 2024
Department of Neurology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei province, China.
Objective: Spinal muscular atrophy (SMA) is an autosomal recessive neuromuscular disease characterized by proximal muscle weakness and atrophy. The increasing availability of disease-modifying therapies has prompted the development of biomarkers to facilitate clinical assessments. We explored the association between disease severity and serum creatinine (Crn) levels in SMA patients undergoing up to two years of treatment with nusinersen.
View Article and Find Full Text PDFMol Biol Rep
December 2024
Department of Internal Medicine II, Hamamatsu University School of Medicine, 1-20-1 Handayama, Chuo-ku, Hamamatsu, Shizuoka, 431-3192, Japan.
Background: Neprilysin (NEP) is a metalloprotease that has become a therapeutic target for the treatment of heart failure and hypertension. However, the significance of NEP in chronic liver diseases has rarely been investigated. In this study, we investigated the serum NEP levels in patients with chronic liver disease and their relationship with clinical parameters.
View Article and Find Full Text PDFChin Med
December 2024
Department of Oriental Pharmaceutical Science, College of Pharmacy, Kyung Hee University, Seoul, 02447, Republic of Korea.
Background: Atopic dermatitis (AD) is a chronic multifactorial inflammatory skin disorder with a complex etiology. Despite its increasing prevalence, treatment of AD is still limited. Indole-3-carbinol (I3C) is found in cruciferous vegetables and is formed when these vegetables are cut, chewed, or cooked; it exerts diverse pharmacological activities.
View Article and Find Full Text PDFBMC Neurol
December 2024
Department of Neurology, The Affiliated Changsha Central Hospital, University of South China, No. 161 Shaoshan South Road, Changsha, 410004, Hunan, China.
Background: Stroke is the main cause of death and disability. Post-stroke cognitive impairment (PSCI) is one of the most severe complications of stroke, which lacks effective biomarkers for its early detection.
Objective: This study evaluated the significance of lncRNA SIX3OS1 in acute stroke and PSCI aiming to identify a novel biomarker.
J Agric Food Chem
December 2024
College of Food Science and Light Industry, Nanjing Tech University, Nanjing 211816, China.
This study utilized deep learning to optimize antihypertensive peptides from whey protein hydrolysate. Using the Large Language Models (LLMs), we identified an optimal multienzyme combination (MC5) with an ACE inhibition rate of 89.08% at a concentration of 1 mg/mL, significantly higher than single-enzyme hydrolysis.
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