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Blood Test #3 in 2022: Supplements, Diet
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Quantifying Biological Age: Blood Test #3 in 2022
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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/
An epigenetic biomarker of aging for lifespan and healthspan https://pubmed.ncbi.nlm.nih.gov/29676998/
Underlying features of epigenetic aging clocks in vivo and in vitro https://pubmed.ncbi.nlm.nih.gov/32930491/
Population Specific Biomarkers of Human Aging: A Big Data Study Using South Korean, Canadian, and Eastern European Patient Populations https://pubmed.ncbi.nlm.nih.gov/29340580/
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/
AGE Products Impact Lifespan: Impact Of Hyperglycemia, Kidney Function, And The Microbiome
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Papers referenced in the video:
Oral glycotoxins determine the effects of calorie restriction on oxidant stress, age-related diseases, and lifespan https://pubmed.ncbi.nlm.nih.gov/18599606/
Reduced oxidant stress and extended lifespan in mice exposed to a low glycotoxin diet: association with increased AGER1 expression https://pubmed.ncbi.nlm.nih.gov/17525257/
Gut microbiota drives age-related oxidative stress and mitochondrial damage in microglia via the metabolite N 6-carboxymethyllysine https://pubmed.ncbi.nlm.nih.gov/35241804/
Plasma Carboxymethyl-Lysine, an Advanced Glycation End Product, and All-Cause and Cardiovascular Disease Mortality in Older Community-Dwelling Adults https://pubmed.ncbi.nlm.nih.gov/19682127/
Advanced glycation end products and their circulating receptors predict cardiovascular disease mortality in older community dwelling women https://pubmed.ncbi.nlm.nih.gov/19448391/
Acute Hyperglycemia Causes Intracellular Formation of CML and Activation of ras, p42/44 MAPK, and Nuclear Factor KappaB in PBMCs https://pubmed.ncbi.nlm.nih.gov/12606501/
Experimental Hyperglycemia Alters Circulating Concentrations and Renal Clearance of Oxidative and Advanced Glycation End Products in Healthy Obese Humans https://pubmed.ncbi.nlm.nih.gov/30823632/
Novel associations between blood metabolites and kidney function among Bogalusa Heart Study and Multi-Ethnic Study of Atherosclerosis participants https://pubmed.ncbi.nlm.nih.gov/31720858/
Serum Carboxymethyl-lysine, a Dominant Advanced Glycation End Product, is Associated with Chronic Kidney Disease: the Baltimore Longitudinal Study of Aging https://pubmed.ncbi.nlm.nih.gov/19853477/
Calcium Intake Affects The Association For Dietary Oxalate With CVD-Event Risk
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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/
Effect of Different Cooking Methods on Vegetable Oxalate Content https://pubmed.ncbi.nlm.nih.gov/15826055/
Oxalate in renal stone disease: the terminal metabolite that just won’t go away https://pubmed.ncbi.nlm.nih.gov/18523430/
Blood Test #2 in 2022: Diet
Join us on Patreon! https://www.patreon.com/MichaelLustgartenPhD
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/
Blood Test #2 in 2022: Supplements, Cardiovascular Fitness Metrics (HRV, RHR)
Join us on Patreon! https://www.patreon.com/MichaelLustgartenPhD
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/
Papers referenced in the video:
Inter- and intra-individual variability in daily resting heart rate and its associations with age, sex, sleep, BMI, and time of year: Retrospective, longitudinal cohort study of 92,457 adults https://pubmed.ncbi.nlm.nih.gov/32023264/
Heart rate variability with photoplethysmography in 8 million individuals: a cross-sectional study https://pubmed.ncbi.nlm.nih.gov/33328029/
Quantifying Biological Age: Blood Test #2 in 2022
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Michael Lustgarten 