Tag Archives: metabolomic

Kynurenine/Tryptophan Is Associated With Biomarkers Of Neurodegenerative Disease

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Papers referenced in the video:
Solving neurodegeneration: common mechanisms and strategies for new treatments
https://molecularneurodegeneration.biomedcentral.com/articles/10.1186/s13024-022-00524-0

Tryptophan Metabolism and Neurodegeneration: Longitudinal Associations of Kynurenine Pathway Metabolites with Cognitive Performance and Plasma ADRD Biomarkers in the Duke Physical Performance Across the LifeSpan Study
https://pubmed.ncbi.nlm.nih.gov/36565121/

Which Nutrients Are Associated With A Younger Brain Age?

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——————————————————————————————————————————-Paper referenced in the video:
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Paper referenced in the video:
Investigating nutrient biomarkers of healthy brain aging: a multimodal brain imaging study https://www.nature.com/articles/s41514-024-00150-8

Plasma Metabolites Of A Healthy Lifestyle In Relation To Mortality And Longevity

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Papers referenced in the video:
Impact of Healthy Lifestyle Factors on Life Expectancies in the US Population https://pubmed.ncbi.nlm.nih.gov/29712712/

Association of dietary quality indices with glycemic status in korean patients with type 2 diabetes https://pubmed.ncbi.nlm.nih.gov/23908976/

Plasma metabolites of a healthy lifestyle in relation to mortality and longevity: Four prospective US cohort studies https://pubmed.ncbi.nlm.nih.gov/38366602/

Cholesterol Esters: Underrated Metabolites That Are Associated With Youth And Survival

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Papers referenced in the video:
The lipidomic correlates of epigenetic aging across the adult lifespan: A population‐based study
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10497837/

Plasma metabolomic profiles associated with mortality and longevity in a prospective analysis of 13,512 individuals
https://www.nature.com/articles/s41467-023-41515-z

Uremic Metabolites: Kidney Function Biomarkers

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Papers referenced in the video:
Predicting Age by Mining Electronic Medical Records with Deep Learning Characterizes Differences between Chronological and Physiological Age
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5716867/

Age-related changes in clinical parameters and their associations with common complex diseases
https://pubmed.ncbi.nlm.nih.gov/26623014/

Variation in serum creatinine level is correlated to risk of type 2 diabetes
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3811691/

Age and cystatin C in healthy adults: a collaborative study
https://pubmed.ncbi.nlm.nih.gov/19749145/

Cystatin C and long-term mortality among subjects with normal creatinine-based estimated glomerular filtration rates: NHANES III (Third National Health and Nutrition Examination Survey)
https://pubmed.ncbi.nlm.nih.gov/21109116/

Metagenomic and metabolomic remodeling in nonagenarians and centenarians and its association with genetic and socioeconomic factors
https://pubmed.ncbi.nlm.nih.gov/37118062/

The Intestinal Microbiota and Metabolites in the Gut-Kidney-Heart Axis of Chronic Kidney Disease
https://pubmed.ncbi.nlm.nih.gov/35370631/

Characteristics of Colon-Derived Uremic Solutes
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6140561/

Is Glutamate A Marker Of Low NAD?

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Papers referenced in the video:
The association between plasma metabolites and future risk of all-cause mortality
https://pubmed.ncbi.nlm.nih.gov/35796403/

Metagenomic and metabolomic remodeling in nonagenarians and centenarians and its association with genetic and socioeconomic factors
https://pubmed.ncbi.nlm.nih.gov/37118062/

How wasting is saving: Weight loss at altitude might result from an evolutionary adaptation
https://pubmed.ncbi.nlm.nih.gov/24917038/