Publications by authors named "M A Mens"
Article Synopsis
- MicroRNAs (miRNAs) are small non-coding RNAs that play a crucial role in regulating gene expression and may serve as biomarkers for various diseases through their presence in plasma.
- The study analyzed 2083 plasma circulating miRNAs from participants in the Rotterdam Study, uncovering 3292 associations between SNPs and miRNAs, with a significant portion confirmed in further studies.
- Findings suggest that specific miRNAs can influence a range of clinical conditions, with miR-1908-5p showing a protective effect against benign colon neoplasm, highlighting the potential for miRNA-targeted therapies in medicine.
Background: Extracellular microRNAs (miRNAs) are a class of noncoding RNAs that remain stable in the extracellular milieu, where they contribute to various physiological and pathological processes by facilitating intercellular signaling. Previous studies have reported associations between miRNAs and cardiovascular diseases (CVDs); however, the plasma miRNA signatures of CVD and its risk factors have not been fully elucidated at the population level.
Methods And Results: Plasma miRNA levels were measured in 4440 FHS (Framingham Heart Study) participants.
Objective: This study aimed to quantitatively assess the diagnostic value of bone marrow edema (BME) detection on virtual non-calcium (VNCa) images calculated from dual-energy CT (DECT) in people with diabetes mellitus and suspected Charcot neuro-osteoarthropathy (CN).
Materials And Methods: People with diabetes mellitus and suspected CN who underwent DECT of the feet (80kVp/Sn150kVp) were included retrospectively. Two blinded observers independently measured CT values on VNCa images using circular regions of interest in five locations in the midfoot (cuneiforms, cuboid and navicular) and the calcaneus of the contralateral or (if one foot was available) the ipsilateral foot.
Genetic Correlates of Biological Aging and the Influence on Prediction of Mortality.
J Gerontol A Biol Sci Med Sci
April 2024
Longevity and disease-free survival are influenced by a combination of genetics and lifestyle. Biological age (BioAge), a measure of aging based on composite biomarkers, may outperform chronological age in predicting health and longevity. This study investigated the relationship between genetic risks, lifestyle factors, and delta age (Δage), estimated as the difference between biological and chronological age.
View Article and Find Full Text PDFBackground: This study assessed the use of dual-energy computed tomography (CT) to evaluate sub-calcaneal plantar fat pad changes in people with diabetic neuropathy.
Methods: Dual-energy CT scans of people with diabetic neuropathy and non-diabetic controls were retrospectively included. Average CT values (in Hounsfield Units) and thickness (in centimeters) of the sub-calcaneal plantar fat pad were measured in mono-energetic images at two energy levels (40 keV and 70 keV).