Transcutaneous intravascular laser irradiation of blood affects plasma metabolites of women DOI Creative Commons

Enzo Martins Benevento,

Fabíola Socorro Silva Lisboa,

Luisa de Oliveira Kaneko

et al.

Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)

Published: Dec. 1, 2024

The effectiveness of indirect Intravascular laser irradiation blood (ILIB) is not fully understood. In this study, we provided a novel experiment that employs metabolomics to investigate the effects ILIB in women. Twenty-eight volunteers underwent and had their plasma collected before after procedure. was applied at radial artery for 30 min, using low-power photobiomodulation (660 nm), power output 0.1 W. Plasma samples were extracted analyzed liquid chromatography—high-resolution mass spectrometry an untargeted approach. Partial Least Squares Discriminant Analysis revealed 151 molecules with Variable Projection score ≥ 1. From these, 26 identified. After checking related dietary intake, fasting, medication, or part human exposome, 15 affected by ILIB. abundances Estradiol 17b-glucuronide 3-sulfate, CAR 14:3, PI 22:6/PGJ2, 12:1 significantly increased ILIB, while AcylGlcADG 62:9, Tyrosyl-Glutamine, CDP-DG 22:3/PGF1 contrary effect. shown modulate from different chemical classes, although its impact on metaboloma minimal. Further research warranted elucidate implications these findings across various metabolic pathways, thus advancing science surrounding

Language: Английский

NMR metabolomic modeling of age and lifespan: A multicohort analysis DOI Creative Commons
Chung‐Ho E. Lau, Maria Manou, Georgios Markozannes

et al.

Aging Cell, Journal Year: 2024, Volume and Issue: 23(7)

Published: April 18, 2024

Abstract Metabolomic age models have been proposed for the study of biological aging, however, they not widely validated. We aimed to assess performance newly developed and existing nuclear magnetic resonance spectroscopy (NMR) metabolomic prediction chronological (CA), mortality, age‐related disease. Ninety‐eight metabolic variables were measured in blood from nine UK Finnish cohort studies ( N ≈31,000 individuals, range 24–86 years). used nonlinear penalized regression model CA time all‐cause mortality. examined associations four new two previously published models, with aging risk factors phenotypes. Within Biobank ≈102,000), we tested CA, incident disease (cardiovascular (CVD), type‐2 diabetes mellitus, cancer, dementia, chronic obstructive pulmonary disease), Seven‐fold cross‐validated Pearson's r between ranged 0.47 0.65 training set (mean absolute error: 8–9 adjusted associated C‐reactive protein, inversely glomerular filtration rate. Positively included obesity, diabetes, smoking, physical inactivity. In Biobank, correlations modest = 0.29–0.33), yet all scores predicted mortality (hazard ratios 1.01 1.06/metabolomic year) CVD, after adjustment CA. While only moderately an independent population, provided additional morbidity over itself, suggesting their wider applicability.

Language: Английский

Citations

8

Decoding aging clocks: New insights from metabolomics DOI
Honghao Huang, Yifan Chen, Wei Xu

et al.

Cell Metabolism, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 1, 2024

Language: Английский

Citations

7

Assessing Metabolic Ageing via DNA Methylation Surrogate Markers: A Multicohort Study in Britain, Ireland and the USA DOI Creative Commons
Kexin Xu, Belinda Hernández, Thalida Em Arpawong

et al.

Aging Cell, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 20, 2025

ABSTRACT Metabolomics and epigenomics have been used to develop ‘ageing clocks’ that assess biological age identify ‘accelerated ageing’. While metabolites are subject short‐term variation, DNA methylation (DNAm) may capture longer‐term metabolic changes. We aimed a hybrid DNAm‐metabolic clock using DNAm as metabolite surrogates (‘DNAm‐metabolites’) for prediction. Within the UK Airwave cohort ( n = 820), we developed by regressing 594 on selected 177 193 construct ‘DNAm‐metabolic’ ‘metabolic’ clocks. evaluated clocks in their prediction association with noncommunicable disease risk factors. additionally validated of health outcomes The Irish Longitudinal Study Ageing (TILDA, 488) Health Retirement (HRS, 4018). Around 70% showed significant correlations (Pearson's r : > 0.30, p < 10 −4 ) test set overall stronger associations than metabolites. was enriched traits associated 0.05) male sex, heavy drinking, anxiety, depression trauma. In TILDA HRS, predicted 0.73 0.69), disability gait speed 0.05). it time death, diabetes, cardiovascular disease, frailty grip strength. facilitate studies only data. Clocks built from provided novel approach ageing, potentially enabling early detection metabolic‐related diseases personalised medicine.

Language: Английский

Citations

0

Decoding brain aging trajectory: predictive discrepancies, genetic susceptibilities, and emerging therapeutic strategies DOI Creative Commons
Yulia K. Komleva,

K. A. Shpiliukova,

N. I. Bondar

et al.

Frontiers in Aging Neuroscience, Journal Year: 2025, Volume and Issue: 17

Published: March 19, 2025

The global extension of human lifespan has intensified the focus on aging, yet its underlying mechanisms remain inadequately understood. article highlights aspects genetic susceptibility to impaired brain bioenergetics, trends in age-related gene expression related neuroinflammation and senescence, impact stem cell exhaustion quiescence accelerated aging. We also review accumulation senescent cells, mitochondrial dysfunction, metabolic disturbances as central pathological processes emphasizing how these factors contribute inflammation disrupt cellular competition defining aging trajectory. Furthermore, we discuss emerging therapeutic strategies future potential integrating advanced technologies refine assessments. combination several methods including analysis, neuroimaging techniques, cognitive tests digital twins, offer a novel approach by simulating monitoring individual health trajectories, thereby providing more accurate personalized insights. Conclusively, estimation trajectories is crucial for understanding managing processes, potentially transforming preventive improve outcomes populations.

Language: Английский

Citations

0

Spatial Insights in Cardiovascular Aging DOI Creative Commons
Zhehao Dai, H G Ding, Q. Y. Zhang

et al.

Aging and Disease, Journal Year: 2025, Volume and Issue: unknown, P. 0 - 0

Published: Jan. 1, 2025

Language: Английский

Citations

0

Metabolomic changes in children with autism DOI Open Access
Mohammed Al‐Beltagi,

Nermin Kamal Saeed,

Adel Salah Bediwy

et al.

World Journal of Clinical Pediatrics, Journal Year: 2024, Volume and Issue: 13(2)

Published: June 7, 2024

Autism spectrum disorder (ASD) is a neurodevelopmental condition characterized by deficits in social communication and repetitive behaviors. Metabolomic profiling has emerged as valuable tool for understanding the underlying metabolic dysregulations associated with ASD.

Language: Английский

Citations

1

NMR metabolomic modelling of age and lifespan: a multi-cohort analysis DOI Creative Commons
Chung‐Ho E. Lau, Maria Manou, Georgios Markozannes

et al.

medRxiv (Cold Spring Harbor Laboratory), Journal Year: 2023, Volume and Issue: unknown

Published: Nov. 8, 2023

Metabolomic age models have been proposed for the study of biological aging, however they not widely validated. We aimed to assess performance newly developed and existing nuclear magnetic resonance spectroscopy (NMR) metabolomic prediction chronological (CA), mortality, age-related disease. 98 metabolic variables were measured in blood from nine UK Finnish cohort studies (N ≈ 31,000 individuals, range 24-86 years). used non-linear penalised regression model CA time all-cause mortality. examined associations four new two previously published models, with ageing risk factors phenotypes. Within Biobank (N≈ 102,000), we tested CA, incident disease (cardiovascular (CVD), type-2 diabetes mellitus, cancer, dementia, chronic obstructive pulmonary disease) Cross-validated Pearson's

Language: Английский

Citations

2

An introduction to personalized medicine DOI
Joshua A. Bornhorst

Therapeutic Drug Monitoring, Journal Year: 2024, Volume and Issue: unknown, P. 331 - 354

Published: Jan. 1, 2024

Pharmacogenetic testing (PGx), a necessary component of personalized medicine, is powerful tool to assist in prescribing safe and efficacious medications individual patients. PGx utilizes the information provided by an individual's unique genetic makeup potentially predict both pharmacokinetic profiles pharmacodynamic response for increasing number xenobiotics. This chapter will provide broad overview pharmacogenetic approaches. More recent pharmacogenomics approaches discoveries, such as genome-wide association studies pathway analyses candidate genes, also be discussed. comment on challenges advantages integrating part medicine philosophy, which advocates rational, individualized pharmacotherapy.

Language: Английский

Citations

0

Astragalus polysaccharide alleviates asthma by modulating gut microbiota and serum metabolomics DOI Open Access
Jie Zhang, Ming Guan,

Suling Wu

et al.

Biomedical Reports, Journal Year: 2024, Volume and Issue: 22(1)

Published: Nov. 13, 2024

The aim of the present study was to examine effects Astragalus polysaccharide (APS) on gut microbiota and serum metabolites in asthmatic mice. For this purpose, a total 36 BALB/c female mice were selected randomly classified into following groups: i) normal control group sensitized with phosphate‑buffered saline; ii) asthma challenged ovalbumin (OVA); iii) OVA + APS (2.5 g/kg) treatment group; iv) (5.0 v) (10 vi) dexamethasone (2 mg/kg) group, 6 each group. used establish mouse model asthma. In intragastrically administered at various doses 1 h prior stimulation. airway hyperreactivity (AHR) measured, hematoxylin eosin staining employed evaluate pulmonary inflammatory infiltration. addition, 16S rRNA sequencing ultra‑performance liquid chromatography‑tandem mass spectrometry detect changes metabolites. results revealed that compared improved inflammation eosinophil infiltration mice, microbial imbalance mainly manifested as low abundance Bacteroidetes high Firmicutes, yielding an increased F/B ratio. high‑dose Firmicutes reduced, increased, which thereby decreased ratio corrected imbalance. Through blood metabolomics, 145 105 significantly differential detected medium‑ groups, respectively. Moreover, Kyoto Encyclopedia Genes Genomes pathway enrichment analysis demonstrated metabolic pathways medium‑dose included biosynthesis unsaturated fatty acids arginine. On other hand, enriched acids, pyrimidine metabolism. whole, demonstrates may regulate improve AHR

Language: Английский

Citations

0

Transcutaneous intravascular laser irradiation of blood affects plasma metabolites of women DOI Creative Commons

Enzo Martins Benevento,

Fabíola Socorro Silva Lisboa,

Luisa de Oliveira Kaneko

et al.

Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)

Published: Dec. 1, 2024

The effectiveness of indirect Intravascular laser irradiation blood (ILIB) is not fully understood. In this study, we provided a novel experiment that employs metabolomics to investigate the effects ILIB in women. Twenty-eight volunteers underwent and had their plasma collected before after procedure. was applied at radial artery for 30 min, using low-power photobiomodulation (660 nm), power output 0.1 W. Plasma samples were extracted analyzed liquid chromatography—high-resolution mass spectrometry an untargeted approach. Partial Least Squares Discriminant Analysis revealed 151 molecules with Variable Projection score ≥ 1. From these, 26 identified. After checking related dietary intake, fasting, medication, or part human exposome, 15 affected by ILIB. abundances Estradiol 17b-glucuronide 3-sulfate, CAR 14:3, PI 22:6/PGJ2, 12:1 significantly increased ILIB, while AcylGlcADG 62:9, Tyrosyl-Glutamine, CDP-DG 22:3/PGF1 contrary effect. shown modulate from different chemical classes, although its impact on metaboloma minimal. Further research warranted elucidate implications these findings across various metabolic pathways, thus advancing science surrounding

Language: Английский

Citations

0