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Objective: In human studies, new model systems are needed for improved mechanistic investigation of developmental predisposition for metabolic disease but also to serve as benchmarks in early life prevention or intervention efforts. In this regard, human infant umbilical cord-derived mesenchymal stem cells (MSCs) are an emerging tool. However, long-term clinical relevance to in vivo markers of metabolic disease is unknown.
Methods: In a cohort of 124 mother/child dyads, this study tested the hypothesis that triglyceride content (TG) of infant MSCs undergoing adipogenesis in vitro (MSC-TG) is associated with in vivo adiposity (percent fat mass) from birth to early childhood and with fasting glucose and insulin in early childhood.
Results: MSC-TG was positively associated with in vivo child adiposity at birth, age 4 to 6 months, and age 4 to 6 years. MSC-TG was associated with fasting glucose, but not insulin, at 4 to 6 years. Importantly, MSC-TG explained an additional 13% variance in child adiposity at 4 to 6 years, after accounting for other established birth predictors (weight and percent fat mass at birth) and other established covariates related to child adiposity (e.g., breastfeeding exposure, physical activity).
Conclusions: This work demonstrates the strength of the MSC model for predicting offspring metabolic phenotype into childhood, even when considering the important contribution of other early life risk factors.
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http://dx.doi.org/10.1002/oby.23594 | DOI Listing |
J Clin Ultrasound
September 2025
Hebei General Hospital, Shijiazhuang, China.
Background: Acute ischemic stroke (AIS) is characterized by high incidence, sudden onset, and often poor prognosis. Carotid atherosclerosis plays a crucial role in its pathogenesis, and ultrasound imaging offers a non-invasive method for evaluating carotid plaque characteristics. This study aimed to develop and validate a prediction model for AIS risk based on a novel ultrasound-based carotid plaque scoring system combined with clinical risk factors.
View Article and Find Full Text PDFJ Nutr
September 2025
Institute of Food and One Health, Leibniz University Hannover, 30167 Hannover, Germany.
Background: Dietary fiber supports metabolic health via microbial fermentation, producing short-chain fatty acids (SCFAs). However, metabolic responses to fiber vary between individuals, potentially due to differences in gut microbiota composition. The Prevotella-to-Bacteroides (P/B) ratio has emerged as a potential biomarker for fiber responsiveness.
View Article and Find Full Text PDFDiabetes Res Clin Pract
September 2025
Division of Endocrinology and Metabolism, Department of Internal Medicine, Faculty of Medicine, Canakkale Onsekiz Mart University, Canakkale, Turkey.
Aims: The mixed-meal tolerance test (MMTT), though considered the gold standard for evaluating residual beta-cell function in type 1 diabetes mellitus (T1D), is impractical for routine use. We aimed to develop and validate a machine learning (ML) model to predict MMTT-stimulated C-peptide categories using routine clinical data.
Methods: Data from 319 individuals in the T1D Exchange Registry with complete MMTT and clinical information were analyzed.
Biochem Biophys Res Commun
September 2025
Yangzhi Rehabilitation Hospital (Shanghai Sunshine Rehabilitation Center), Tongji University School of Medicine, Shanghai, PR China. Electronic address:
Epidemiological studies have reported that social isolation increases the risk of diabetes, but the underlying neural mechanism remains unclear. Using a long-term single-housed (SH) mouse model of social isolation, SH mice not only exhibited disrupted glucose homeostasis, evidenced by elevated fasting glucose, impaired glucose tolerance, and reduced insulin sensitivity, but also showed hypertrophic adipocytes and altered lipid metabolism. To elucidate the neural mechanisms underlying these metabolic disturbances, retrograde trans-synaptic tracing revealed the paraventricular nucleus (PVN) and locus coeruleus (LC) as the most PRV-labeled brain regions, suggesting their potential roles in social isolation-induced hyperglycemia.
View Article and Find Full Text PDFSleep Med
August 2025
Department of Radiology Imaging Center, Renmin Hospital, Hubei University of Medicine, Shiyan, Hubei, 442000, PR China. Electronic address:
Objective: This multicenter study aimed to investigate resting-state brain functional alterations in patients with type 2 diabetes mellitus (T2DM) comorbid with obstructive sleep apnea (OSA), and to elucidate the underlying neural mechanisms.
Methods: A total of 139 participants were enrolled from two centers, including 48 healthy controls (HCs), 46 T2DM patients, and 45 T2DM with OSA patients. Resting-state functional magnetic resonance imaging (rs-fMRI) was used to assess brain function using degree centrality (DC), amplitude of low-frequency fluctuation (ALFF), and seed-based functional connectivity (FC).