With the development of designed materials and structures, a wide array of micro/nanomachines with versatile functionalities are employed for specific sensing applications. Here, we demonstrated a magnetic propelled microdimer-based point-of-care testing system, which can be used to provide the real-time data of plasma glucose and lipids relying on the motion feedback of mechanical properties. On-demand and programmable speed and direction of the microdimers can be achieved with the judicious adjustment of the external magnetic field, while their velocity and instantaneous postures provide estimation of glucose, cholesterol, and triglycerides concentrations with high temporal accuracy. Numerical simulations reveal the relationship between motility performance and surrounding liquid properties. Such technology presents a point-of-care testing (POCT) approach to adapt to biofluid measurement, which advances the development of microrobotic system in biomedical fields.
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http://dx.doi.org/10.3389/fbioe.2021.779632 | DOI Listing |
Nutrients
January 2025
Institute of Primary Care, University of Zurich, 8091 Zurich, Switzerland.
Background/objectives: Despite the abundant body of evidence linking high-intensity interval training (HIIT) to cardiometabolic markers, little is known about how HIIT affects liver enzymes, particularly in obese adolescents. This study aimed to investigate the effects of HIIT on metabolic dysfunction-associated steatotic liver disease (MASLD)-related biomarkers in overweight/obese adolescent girls.
Methods: Thirty-three overweight/obese adolescent girls (age, 17.
Nutrients
December 2024
Department of Gastroenterology, The First Affiliated Hospital, Sun Yat-sen University, No. 58 Zhongshan II Road, Yuexiu District, Guangzhou 510080, China.
: The 1-h post-load plasma glucose was proposed to replace the current OGTT criteria for diagnosing prediabetes/diabetes. However, it remains unclear whether it is superior in identifying progressive metabolic dysfunction-associated steatotic liver disease (MASLD), and thus we aimed to clarify this issue. : Consecutive Asian participants (non-MASLD, = 1049; MASLD, = 1165) were retrospectively enrolled between June 2012 and June 2024.
View Article and Find Full Text PDFNutrients
December 2024
School of Health Sciences, University of Ioannina, St. Niarchou Av, 45500 Ioannina, Greece.
Unlabelled: Introduction-Aim: Adopting a lifestyle that incorporates regular physical activity confers substantial benefits to both physical and mental health and is recommended for prediabetic individuals. The aim of this study is to investigate the impact of activity tracking apps on increasing physical activity and its effect on glycemic control in people with prediabetes.
Materials And Methods: This pilot study included 37 participants, 18 in the prediabetic group and 19 in the normoglycemic group matched for age and gender (mean age 53 years, 40% males).
Nutrients
December 2024
Pharmacology Laboratory, Department of Medicine, University of Patras, 26500 Rio Achaia, Greece.
Background/objectives: Lavender has been utilized for its medicinal properties since ancient times, with numerous health benefits reported. This study aimed to valorize solid waste from lavender essential oil production by developing a novel lavender extract from solid lavender residues. The extract's preclinical safety and efficacy were evaluated with emphasis on plasma lipid and lipoprotein metabolism, glucose tolerance, and adipose tissue metabolic activity.
View Article and Find Full Text PDFNutrients
December 2024
Functional Gastrointestinal Disorders Research Group, National Institute of Gastroenterology IRCCS "Saverio de Bellis", Castellana Grotte, 70013 Bari, Italy.
Aims: This study explores the link between body mass index (BMI), intestinal permeability, and associated changes in anthropometric and impedance parameters, lipid profiles, inflammatory markers, fecal metabolites, and gut microbiota taxa composition in participants having excessive body mass.
Methods: A cohort of 58 obese individuals with comparable diet, age, and height was divided into three groups based on a priori clustering analyses that fit with BMI class ranges: Group I (25-29.9), Group II (30-39.
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