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Blood Test #3 in 2022: Supplements, Diet
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Tag Archives: Biohacking
A Physiology Clock for Human Aging: BP and FEV1 As Top Predictors
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Papers referenced in the video:
A Physiology Clock for Human Aging (preprint) https://www.biorxiv.org/content/10.1101/2022.04.14.488358v1
Spirometry Reference Equations for Central European Populations from School Age to Old Age https://pubmed.ncbi.nlm.nih.gov/23320075/
An Integrated, Multimodal, Digital Health Solution for Chronic Obstructive Pulmonary Disease: Prospective Observational Pilot Study https://pubmed.ncbi.nlm.nih.gov/35142291/
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/
Methionine Restriction Extends Lifespan-What’s Optimal For Protein Intake? n=1 Analysis
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Papers referenced in the video:
Life-Span Extension in Mice by Preweaning Food Restriction and by Methionine Restriction in Middle Age https://pubmed.ncbi.nlm.nih.gov/19414512/
Low methionine ingestion by rats extends life span https://pubmed.ncbi.nlm.nih.gov/8429371/
Fasting glucose level and all-cause or cause-specific mortality in Korean adults: a nationwide cohort study https://pubmed.ncbi.nlm.nih.gov/32623847/
Total plasma homocysteine and cardiovascular risk profile. The Hordaland Homocysteine Study https://pubmed.ncbi.nlm.nih.gov/7474221/
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/
Association between low-density lipoprotein cholesterol and cardiovascular mortality in statin non-users: a prospective cohort study in 14.9 million Korean adults https://pubmed.ncbi.nlm.nih.gov/35218344/
Blood counts in adult and elderly individuals: defining the norms over eight decades of life https://pubmed.ncbi.nlm.nih.gov/32030733/
How Much Oxalate Is Too Much? n=1 Analysis
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Papers referenced in the video:
Dietary oxalate to calcium ratio and incident cardiovascular events: a 10-year follow-up among an Asian population https://pubmed.ncbi.nlm.nih.gov/35346210/
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/
Association between low-density lipoprotein cholesterol and cardiovascular mortality in statin non-users: a prospective cohort study in 14.9 million Korean adults https://pubmed.ncbi.nlm.nih.gov/35218344/
Joint distribution of lipoprotein cholesterol classes. The Framingham study) AND abbott lipoproteins 1983 https://pubmed.ncbi.nlm.nih.gov/6573877/
Incidental lymphopenia and mortality: a prospective cohort study https://pubmed.ncbi.nlm.nih.gov/31932337/
Blood counts in adult and elderly individuals: defining the norms over eight decades of life https://pubmed.ncbi.nlm.nih.gov/32030733/
Effect of Aging on Serum Uric Acid Levels: Longitudinal Changes in a Large Japanese Population Group https://pubmed.ncbi.nlm.nih.gov/12242321/
Liver enzymes and risk of all-cause mortality in general populations: a systematic review and meta-analysis. https://pubmed.ncbi.nlm.nih.gov/24585856/
Increased red blood cell distribution width (RDW) is associated with higher glycosylated hemoglobin (HbA1c) in the elderly https://pubmed.ncbi.nlm.nih.gov/25651746/
Quantifying Biological Age: Blood Test #2 in 2022
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Centenarian Blood Test Analysis (n=1,754)
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Papers referenced in the video:
Risk Factors For Hyperuricemia In Chinese Centenarians And Near-Centenarians https://pubmed.ncbi.nlm.nih.gov/31908434/
Association between fasting glucose and all-cause mortality according to sex and age: a prospective cohort study https://pubmed.ncbi.nlm.nih.gov/28811570/
Predicting age by mining electronic medical records with deep learning characterizes differences between chronological and physiological age https://pubmed.ncbi.nlm.nih.gov/29113935/
Age and sex variation in serum albumin concentration: an observational study https://pubmed.ncbi.nlm.nih.gov/26071488/
Commonly used clinical chemistry tests as mortality predictors: Results from two large cohort studies https://pubmed.ncbi.nlm.nih.gov/33152050/
The gamma gap predicts 4-year all-cause mortality among nonagenarians and centenarians https://pubmed.ncbi.nlm.nih.gov/29348636/
Triglyceride centenarian studies are referenced in this post from my website: https://michaellustgarten.com/2020/02/19/blood-testing-whats-an-optimal-value-for-triglycerides-2/
Effects of blood triglycerides on cardiovascular and all-cause mortality: a systematic review and meta-analysis of 61 prospective studies https://pubmed.ncbi.nlm.nih.gov/24164719/
High-density lipoprotein cholesterol and all-cause mortality by sex and age: a prospective cohort study among 15.8 million adults https://pubmed.ncbi.nlm.nih.gov/33313654/
(Part II) Supercentenarian (112 – 116y) Blood Test Analysis
Blood Test #1 in 2022: Supplements, Fitness, Diet
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Quantifying Biological Age: Blood Test #6 in 2021
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Levine’s Biological age calculator is embedded as an Excel file in this link from my website: https://michaellustgarten.com/2019/09/09/quantifying-biological-age/
Michael Lustgarten 