Molecular aging clocks estimate biological age from molecular biomarkers and often outperform chronological age in predicting health outcomes. Types include epigenetic, transcriptomic, proteomic, and metabolomic clocks. NMR-based metabolomic clocks provide a non-invasive, high-throughput platform to assess metabolic health.
View Article and Find Full Text PDFMethods Mol Biol
August 2025
GlycA and GlycB are composite proton H-NMR signals arising from the N-acetyl moieties of circulating acute-phase glycoproteins, chiefly α-acid glycoprotein, α-antichymotrypsin, haptoglobin, α1-antitrypsin, and transferrin. These signals have emerged as promising, noninvasive biomarkers of systemic inflammation and disease risk in a variety of clinical settings. Their quantification typically involves advanced NMR pulse sequences that enhance the separation of GlycA and GlycB from overlapping resonances and other interfering signals.
View Article and Find Full Text PDFHypertension is a highly prevalent medical condition that occurs when blood pressure is too high, which greatly increases the risk of developing other cardiovascular diseases and is generally associated with higher rates of morbidity and mortality. Due to the silent/asymptomatic nature of hypertension, although the methods currently available to diagnose it are easy, they generally do not allow for an early diagnosis and an efficient prognosis to avoid irreversible damage in the medium or long term. In fact, an early diagnosis of hypertension would be crucial to decrease hypertension-associated mortality.
View Article and Find Full Text PDFThe L-Leu amino acid transporter SLC7A5 has become an important target in inflammation and cancer. However, its role in acute graft-versus-host disease (aGVHD) and graft versus tumor (GVT) remains unexplored. We demonstrate that SLC7A5 deletion affected T cell activation, expansion and survival, and reduced IFNγ and granzyme B expression, thus controlling aGVHD, but without effect on tumor growth.
View Article and Find Full Text PDFPrecision medicine requires biomarkers that stratify patients and improve clinical outcomes. Although longitudinal multi-omic analyses provide insights into pathological states, their utility in stratifying healthy individuals remains underexplored. We performed a cross-sectional integrative study of three omic layers, including genomics, urine metabolomics, and serum metabolomics/lipoproteomics, on a cohort of 162 individuals without pathological manifestations.
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