Amino acid and lipid associated plasma metabolomic patterns are related to healthspan indicators with ageing

Johnson, Lawrence C.; Martens, Christopher R.; Santos‐Parker, Jessica R.; Bassett, Candace J.; Strahler, Talia R.; Cruickshank‐Quinn, Charmion; Reisdorph, Nichole; McQueen, Matthew B.; Seals, Douglas R.

doi:10.1042/cs20180409

Cited by 30 publications

(20 citation statements)

References 43 publications

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“…Recent advances in metabolic profiling technologies have enhanced the feasibility of high-throughput patient screening for diagnosing various disease states [37,38], and an increasing number of studies are utilizing metabolomics approaches to identify metabolic alterations and pathogenic factors in AF [39–42]. However, one previous study has not found altered metabolites in AF, making the metabolic regulation in AF controversial [19].…”

Section: Discussionmentioning

confidence: 99%

Targeting amino acids metabolic profile to identify novel metabolic characteristics in atrial fibrillation

She

Guo

et al. 2018

Clinical Science

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Atrial fibrillation (AF) is the most common cardiac arrhythmia whose incidence is on the rise globally. However, the pathophysiologic mechanism of AF remains poorly understood and there has been a lack of circulatory markers to diagnose and predict prognosis of AF. In the present study, by measuring metabolic profile and analyzing plasma amino acid levels in AF patients, we sought to determine whether amino acid metabolism was correlated to the occurrence of AF. Consecutive patients admitted to hospital for AF were enrolled. Plasma samples were obtained after overnight fast and a profile of 61 amino acids was then measured using gas chromatography/mass spectrometry (GC/MS). Twenty-three AF and thirty-seven control patients were enrolled in the study. A number of plasma amino acids were altered in AF, which showed significant prediction value for AF. Intriguingly, circulating 4-hydroxypyrrolidine-2-carboxylic was gradually lowered with the persistence of AF. Plasma amino acid levels were more strongly correlated with each other in AF as compared with control. By utilizing non-target metabolic profile surveys, we have found a number of altered amino acids, which exhibit diagnostic value for AF. Enhanced amino acids correlation network further identified AF as a metabolism disorder.

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Section: Discussionmentioning

confidence: 99%

Targeting amino acids metabolic profile to identify novel metabolic characteristics in atrial fibrillation

She

Guo

et al. 2018

Clinical Science

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“…The metabolome, defined as all small molecules characterizing a biological system, is altered with age and reflective of age-related changes in physiological function (Lawton et al 2008;Houtkooper et al 2011;Mapstone et al 2014;Johnson et al 2018). In the present study, we sought to identify plasma metabolomic signatures associated with biological aging in healthy adults.…”

Section: Introductionmentioning

confidence: 99%

The plasma metabolome as a predictor of biological aging in humans

et al. 2019

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Chronological age is an important predictor of morbidity and mortality; however, it is unable to account for heterogeneity in the decline of physiological function and health with advancing age. Several attempts have been made to instead define a "biological age" using multiple physiological parameters in order to account for variation in the trajectory of human aging; however, these methods require technical expertise and are likely too time-intensive and costly to be implemented into clinical practice. Accordingly, we sought to develop a metabolomic signature of biological aging that could predict changes in physiological function with the convenience of a blood sample. A weighted model of biological age was generated based on multiple clinical and physiological measures in a cohort of healthy adults and was then applied to a group of healthy older adults who were tracked longitudinally over a 5-10-year timeframe. Plasma metabolomic signatures were identified that were associated with biological age, including some that could predict whether individuals would age at a faster or slower rate. Metabolites most associated with the rate of biological aging included amino acid, fatty acid, acylcarnitine, sphingolipid, and nucleotide metabolites. These results not only have clinical implications by providing a simple blood-based assay of biological aging, but also provide insight into the molecular mechanisms underlying human healthspan.

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“…The profile of metabolites using serum, plasma, saliva, and cerebrospinal fluid in relation to mild cognitive impairment, dementia, and Alzheimer’s disease has been widely performed [ 1 , 5 , 6 , 7 , 8 , 9 ]. There are metabolomic studies related to health span and biological aging in human [ 10 , 11 , 12 ]. Amino acid metabolites and lipid associated with health span indicator and rate of biological aging.…”

Section: Introductionmentioning

confidence: 99%

Urine Untargeted Metabolomic Profiling Is Associated with the Dietary Pattern of Successful Aging among Malaysian Elderly

et al. 2020

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Food intake biomarkers (FIBs) can reflect the intake of specific foods or dietary patterns (DP). DP for successful aging (SA) has been widely studied. However, the relationship between SA and DP characterized by FIBs still needs further exploration as the candidate markers are scarce. Thus, 1H-nuclear magnetic resonance (1H-NMR)-based urine metabolomics profiling was conducted to identify potential metabolites which can act as specific markers representing DP for SA. Urine sample of nine subjects from each three aging groups, SA, usual aging (UA), and mild cognitive impairment (MCI), were analyzed using the 1H-NMR metabolomic approach. Principal components analysis (PCA) and partial least-squares discriminant analysis (PLS-DA) were applied. The association between SA urinary metabolites and its DP was assessed using the Pearson’s correlation analysis. The urine of SA subjects was characterized by the greater excretion of citrate, taurine, hypotaurine, serotonin, and melatonin as compared to UA and MCI. These urinary metabolites were associated with alteration in “taurine and hypotaurine metabolism” and “tryptophan metabolism” in SA elderly. Urinary serotonin (r = 0.48, p < 0.05) and melatonin (r = 0.47, p < 0.05) were associated with oat intake. These findings demonstrate that a metabolomic approach may be useful for correlating DP with SA urinary metabolites and for further understanding of SA development.

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Amino acid and lipid associated plasma metabolomic patterns are related to healthspan indicators with ageing

Cited by 30 publications

References 43 publications

Targeting amino acids metabolic profile to identify novel metabolic characteristics in atrial fibrillation

Targeting amino acids metabolic profile to identify novel metabolic characteristics in atrial fibrillation

The plasma metabolome as a predictor of biological aging in humans

Urine Untargeted Metabolomic Profiling Is Associated with the Dietary Pattern of Successful Aging among Malaysian Elderly

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