Multiomic profiling provides a comprehensive physiological overview at the molecular level, but understanding of its spatiotemporal dynamics remains limited in human populations. We profiled longitudi...

Pro-inflammatory and hyperinsulinaemic dietary patterns are associated with specific gut microbiome profiles: a TwinsUK cohort study - Volume 5

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Twin researchers face the challenge of accurately determining the zygosity of twins for research. As part of the annual questionnaire between 1999 and 2006, 8,307 twins from the TwinsUK registry were ...

Un estudio de ocho años a 335 gemelas del registro TwinsUK, publicado en la revista Science, encontró que el envejecimiento molecular no sigue un guion único: p

An eight-year study of 335 twins from the TwinsUK registry, published in the journal Science, found that molecular aging does not follow a single script: people

Background Previous studies have reported inverse associations between total (poly)phenol intake or specific subclasses of (poly)phenols, estimated from dietary questionnaires, and cardiovascular disease (CVD) risk. However, no studies have examined (poly)phenol-rich dietary patterns and their corresponding urinary metabolite profiles in relation to CVD risk. This study investigated the associations between a (poly)phenol-rich dietary score (PPS-D), its urinary metabolic signature (PPS-M), and longitudinal CVD risk in the TwinsUK cohort. Methods We included 3110 participants (followed up for 11.20 ± 7.03 years) from TwinsUK who completed the EPIC-Norfolk Food Frequency Questionnaire with longitudinal data. A subset of 200 participants provided spot urine samples, in which 114 (poly)phenol metabolites were quantified using ultra-high-performance liquid chromatography-mass spectrometry (UHPLC-MS) to objectively measure (poly)phenol exposure. Associations between the PPS-D or PPS-M and CVD risk scores (ASCVD risk score and HeartScore), and biomarkers of CVD risk (blood pressure and lipid profile) were assessed using linear mixed models, adjusting for covariates and multiple testing (FDR < 0.05). Results PPS-D was negatively associated with ASCVD risk score (stdBeta: − 0.05 (− 0.07, − 0.04)) and Heartscore (stdBeta: − 0.03 (− 0.04, − 0.01)) (FDR-adjusted p < 0.01) in the overall population (n = 3,110). In the subgroup with urinary metabolites (n = 200), such significant associations were partially replicated through metabolites of flavonoids, phenolic acids, and tyrosols that significantly negatively associated with the ASCVD risk score, HeartScore, diastolic blood pressure (DBP), and positively with high-density lipoprotein cholesterol (HDL-C). In addition, a higher PPS-M was correlated with elevated HDL-C and lower blood pressure, ASCVD risk score, and HeartScore. Conclusions Higher adherence to a (poly)phenol-rich diet is associated with lower CVD risk, with consistent associations observed through urinary metabolite profiles, highlighting the long-term cardiovascular benefits of (poly)phenol consumption, particularly flavonoids and phenolic acids.

同じ年齢で健康な人同士でも、分子レベルでは驚くほど異なる加齢の過程をたどっている可能性がある、という研究結果が『Science』誌に報告された。 キングス・カレッジ・ロンドンを中心とする研究チームは、健康な加齢に伴う分子変化を長期間追跡し、遺伝的要因と環境要因が生涯を通じて相互作用しながら加齢の過程を形づくっていることを明らかにした。 研究チームは、TwinsUKに参加する335人を対象に8年...

Background Previous studies have reported inverse associations between total (poly)phenol intake or specific subclasses of (poly)phenols, estimated from dietary questionnaires, and cardiovascular dise...

A groundbreaking leap in DNA sequencing technology has unveiled previously hidden patterns of somatic mutations accumulating in normal human tissues. This landmark study, led by researchers at the Wellcome Sanger Institute in conjunction with the TwinsUK cohort at King’s College London, employs an enhanced version of nanorate sequencing (NanoSeq) to provide the most comprehensive view yet on how our cells acquire and select for mutations as we age.

The aging process is far from uniform. Molecular analysis reveals it's a chaotic dance of individual trajectories, where personal biological signatures matter more than broad trends, according to findings from the MultiMuTHER project. Measuring Biological Time Researchers meticulously tracked 335 participants in the TwinsUK cohort for eight years. Throughout this period, the study collected whole blood and serum samples from each individual at least three times. Employing a multi-omics approach, the team integrated RNA sequencing—which examines gene activity—with metabolomic analysis, focusing on the byproducts of metabolism. This combined methodology allowed them to distinguish between inherent genetic predispositions and real-time biological changes. Molecular Noise and Its Sources Over the eight-year study, alterations were observed in 5,061 genes and 181 metabolites. However, the researchers determined that a significant portion of these changes were not indicative of aging itself but rather stemmed from external, cyclical factors:

Ethics The work reported on TwinsUK samples was carried out with informed consent under TwinsUK BioBank ethics, approved by the North West–Liverpool Central Research Ethics Committee (REC reference 19/NW/0187), IRAS ID 258513 and earlier approvals granted to TwinsUK by the St Thomas’ Hospital Research Ethics Committee, later the London–Westminster Research Ethics Committee (REC reference EC04/015). SL samples were obtained from Discovery Life Sciences as discarded medical waste in accordance with IRB protocol DLS-BB050.