throughput nmr spectroscopy platform  (Nightingale Health Ltd)

Journal: Science Advances

Article Title: The metabolomic signatures mediate associations between physical frailty and metabolic dysfunction–associated steatotic liver disease

doi: 10.1126/sciadv.aeg4939

Figure Lengend Snippet: Leveraging phenotypic and hospitalization data from UK Biobank, this study investigated the prospective and causal association of physical frailty and its components with MASLD incidence, as well as the multiplicative and additive interactions with covariates. Then, capitalizing on high-throughput metabolomics data, we conducted a metabolome-wide association analysis to identify frailty-associated metabolites and dissect their role in mediating MASLD risk. Last, we reran the above analyses using MRI-derived PDFF as a secondary outcome and validated the association analysis on matched data using a propensity score matching procedure. Icons were made from www.svgrepo.com/ .

Article Snippet: Metabolomic analysis was performed on baseline EDTA plasma samples from a randomly selected subset of participants using a high-throughput NMR spectroscopy platform provided by Nightingale Health Ltd. ( ).

Techniques: High Throughput Screening Assay, Derivative Assay

Journal: medRxiv

Article Title: NMR metabolomic modelling of age and lifespan: a multi-cohort analysis

doi: 10.1101/2023.11.07.23298200

Figure Lengend Snippet: A) Associations with non-communicable disease risk factors. Estimates represent standard deviation change in metabolomic age associated with exposure which have been categorised into binary variables. B) Associations with age-related biomarkers. Estimates represent standard deviation (SD) change in metabolomic age associated with 1 SD unit change in biomarker levels. To avoid individuals from being accounted for more than once in the analysis, samples from YFS2001 and YFS2007, NFBC1966 (31y), and SABRE2 were excluded in the disease risk factor analysis, and subsequently up to 28,000 samples were included. C) Associations of metabolomic age models with adverse incident health events. Cox proportional regression models were adjusted for chronological age, sex, and ethnicity, and hazard ratios were estimated per unit of change in metabolomic age. 969, 638 and 715 deaths respectively in UKCTOCS, SABRE and WHII, and 1,273 and 442 coronary heart disease events, and 707 and 181 stroke events were respectively recorded in the UKCTOCS and SABRE cohorts during the subsequent follow-up period of up to 25 years. Analyses in A) – C) were based on cohort fixed effect inverse variance weighted meta-analyses and linear regression models adjusted for chronological age, sex and ethnicity. * denotes a P < 0.001 and error bars represent the lower and upper limits of the 95% confidence intervals.

Article Snippet: A high throughput 1 H NMR spectroscopy metabolomics platform (Brainshake Ltd./Nightingale Health©, Helsinki, Finland) was applied to fasted blood serum or plasma samples.

Techniques: Standard Deviation, Biomarker Assay

Journal: medRxiv

Article Title: NMR metabolomic modelling of age and lifespan: a multi-cohort analysis

doi: 10.1101/2023.11.07.23298200

Figure Lengend Snippet: A) Assessment of metabolomic ageing model scores in UK Biobank (N total = 101,524). Pearson’s correlation coefficients with chronological age are shown. B) Longitudinal assessment of metabolomic ageing model scores in UK Biobank. C) Associations of chronological age-adjusted metabolomic age scores with adverse incident events in the UK Biobank. Cox proportional regression models were adjusted for sex and chronological age. Hazard ratios were estimated based on per year of metabolomic age. * denotes a P < 0.001 and error bars represent the lower and upper limits of the 95% confidence intervals.

Article Snippet: A high throughput 1 H NMR spectroscopy metabolomics platform (Brainshake Ltd./Nightingale Health©, Helsinki, Finland) was applied to fasted blood serum or plasma samples.

Techniques: