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There is growing evidence that higher intermuscular fat (IMF) is associated with worse processing speed, measured by the digit symbol substitution test (DSST) in older adults. However, the underlying biological mechanisms are not well understood. Considering that both muscle and the brain are metabolically active organs, we sought to identify metabolites that may explain the IMF-DSST association. We assessed 613 plasma metabolites in 2388 participants from the Health, Aging, and Body Composition Study (mean age ± SD 74.7 ± 2.9 years, 50% men, 63% white), using liquid chromatography-mass spectrometry. We confirmed that higher IMF was associated with worse DSST scores (standardized beta (95% CI) - 0.08 (- 0.12, - 0.03), p < 0.001). Sixty-six metabolites were significantly associated with both IMF and DSST. Four of the 66 metabolites attenuated the association by ≥ 10%: higher levels of adrenic acid (polyunsaturated fatty acid), and lower levels of C20:5 lysophosphatidylcholine (lysophospholipid), 1-methylnicotinamide (vitamin B3-related myokine), and maslinic acid (triterpene) were associated with higher IMF and worse DSST. Together, they explained 41% of the IMF-DSST association. Pathway enrichment analyses identified two significant shared pathways: unsaturated fatty acid metabolism and the citrate (TCA) cycle. This study provides hypothesis-generating evidence that a set of circulating metabolites related to unsaturated fatty acids, energy metabolism, and myokines may partially explain the inverse association of IMF with processing speed. The findings, if further confirmed by independent studies, advance our understanding of molecular pathways underlying muscle-brain crosstalk. Whether the identified metabolites are early predictors of future decline in processing speed should be further investigated.
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http://dx.doi.org/10.1007/s11357-025-01559-z | DOI Listing |
J Obes
September 2025
School of Natural Sciences, University of Lincoln, Lincoln, UK.
To investigate the genetic determinants of fat distribution across anatomical sites and their implications for health outcomes. We analyzed neck-to-knee MRI data from the UK Biobank ( = 37,589) to measure fat at various locations and used Mendelian randomization to assess effects on 26 obesity-related diseases and 94 biomarkers from FinnGen and other consortia. We identified genetic loci associated with 10 fat depots: abdominal subcutaneous adipose tissue ( = 2 loci), thigh subcutaneous adipose tissue (25), thigh intermuscular adipose tissue (15), visceral adipose tissue (7), liver proton density fat fraction (PDFF) (8), pancreas PDFF (11), paraspinal adipose tissue (9), pelvic bone marrow fat (28), thigh bone marrow fat (27), and vertebrae bone marrow fat (5).
View Article and Find Full Text PDFGeroscience
September 2025
Department of Epidemiology, School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA.
Introduction: Cancer is associated with accelerated aging, including changes in muscle composition and cognition. However, the relationship between myosteatosis and cognitive function has not been investigated in older cancer survivors. This study evaluated the association between myosteatosis and cognitive function in this population.
View Article and Find Full Text PDFClin Nutr
August 2025
Department of Gastrointestinal Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1277 Jiefang Rd, Wuhan, Hubei Province, 430022, China. Electronic address:
Background: Body composition alterations quantified by routine preoperative imaging may refine risk stratification and guide nutritional interventions in colorectal cancer (CRC). We aimed to establish the prognostic value of CT-assessed muscle quality and ectopic fat deposition for long-term survival.
Methods: This dual-center retrospective study analyzed 850 patients from Wuhan Union Hospital (original cohort) and 647 from Shihezi University Hospital (validation cohort) undergoing curative CRC resection.
Cyborg Bionic Syst
August 2025
Department of Endocrinology and Metabolism, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Key Clinical Center for Metabolic Disease, Shanghai 200233, China.
Growing evidence highlights the importance of body composition (BC), including bone, muscle, and adipose tissue (AT), as a critical biomarker for cardiometabolic risk stratification. However, conventional methods for quantifying BC components using medical images are hindered by labor-intensive workflows and limited anatomical coverage. This study developed BioCompNet-an end-to-end deep learning workflow that integrates dual-parametric magnetic resonance imaging (MRI) sequences (water/fat) with a hierarchical U-Net architecture to enable fully automated quantification of 15 biomechanically critical BC components.
View Article and Find Full Text PDFEur J Radiol
October 2025
Russell H. Morgan Department of Radiology and Radiological Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, United States. Electronic address:
An obesity paradox, i.e., an association between high BMI and reduced all-cause mortality, has been reported in patients with non-dialysis-dependent chronic kidney disease (CKD).
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