Category Archives: blood testing

Epigenetic Tests #1 and 2: Horvath, Hannum, DunedinPACE

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TruDiagnostic Discount Link (Epigenetic Testing)
CONQUERAGING!

https://bit.ly/3Rken0n

Bristle Discount Link (Oral microbiome quantification):
ConquerAging15
https://www.bmq30trk.com/4FL3LK/GTSC3/

Cronometer Discount Link (Daily diet tracking):
https://shareasale.com/r.cfm?b=1390137&u=3266601&m=61121&urllink=&afftrack=

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Papers referenced in the video:
Underlying features of epigenetic aging clocks in vivo and in vitro
https://pubmed.ncbi.nlm.nih.gov/32930491/

DNA methylation‐based measures of biological age: meta‐analysis predicting time to death
https://pubmed.ncbi.nlm.nih.gov/27690265/

Decreased epigenetic age of PBMCs from Italian semi-supercentenarians and their offspring
https://pubmed.ncbi.nlm.nih.gov/26678252/

DunedinPACE, a DNA methylation biomarker of the pace of aging
https://pubmed.ncbi.nlm.nih.gov/35029144/

Effect of Long-Term Caloric Restriction on DNA Methylation Measures of BiologicalAging in Healthy Adults: CALERIE™ Trial Analysis
https://www.medrxiv.org/content/10.1101/2021.09.21.21263912v1.full.pdf

Blood Test #4 in 2022: Supplements, Diet

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Bristle Discount Link (Oral microbiome quantification):
ConquerAging15

https://www.bmq30trk.com/4FL3LK/GTSC3/

Cronometer Discount Link (Daily diet tracking):
https://shareasale.com/r.cfm?b=1390137&u=3266601&m=61121&urllink=&afftrack=

You can support the channel by buying me a coffee!
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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/

Quantifying Biological Age: Blood Test #4 in 2022

Here’s my latest video!

Join us on Patreon!
https://www.patreon.com/MichaelLustgartenPhD

Bristle Discount Link (Oral microbiome quantification):
ConquerAging15

https://www.bmq30trk.com/4FL3LK/GTSC3/

Cronometer Discount Link (Daily diet tracking):
https://shareasale.com/r.cfm?b=1390137&u=3266601&m=61121&urllink=&afftrack=

You can support the channel by buying me a coffee!
https://www.buymeacoffee.com/mlhnrca


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/

Albumin: What’s Optimal For Youth And Health? (2022 Update)

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Cronometer Discount Link:

https://shareasale.com/r.cfm?b=1390137&u=3266601&m=61121&urllink=&afftrack=

Papers referenced in the video:

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/

Calculate your biological age with Levine’s test using the downloadable Excel file in this link: https://michaellustgarten.com/2019/09/09/quantifying-biological-age/

Quantifying Biological Age: Blood Test #3 in 2022

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/

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/

Blood Test Analysis: Italian Centenarians

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Papers referenced in the video: Laboratory parameters in centenarians of Italian ancestry https://pubmed.ncbi.nlm.nih.gov/17681733/

Risk Factors For Hyperuricemia In Chinese Centenarians And Near-Centenarians https://pubmed.ncbi.nlm.nih.gov/31908434/

Fasting glucose level and all-cause or cause-specific mortality in Korean adults: a nationwide cohort study https://pubmed.ncbi.nlm.nih.gov/32623847/

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/

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/

11 Centenarian TG studies: https://michaellustgarten.com/2020/02/19/blood-testing-whats-an-optimal-value-for-triglycerides-2/

Association of Hemoglobin Concentration and Its Change With Cardiovascular and All-Cause Mortality https://pubmed.ncbi.nlm.nih.gov/29378732/

U-shaped mortality curve associated with platelet count among older people: a community-based cohort study https://pubmed.ncbi.nlm.nih.gov/26265696/

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/

Commonly used clinical chemistry tests as mortality predictors: Results from two large cohort studies https://pubmed.ncbi.nlm.nih.gov/33152050/

Implication of liver enzymes on incident cardiovascular diseases and mortality: A nationwide population-based cohort study https://pubmed.ncbi.nlm.nih.gov/29491346/

Association of the Aspartate Aminotransferase to Alanine Aminotransferase Ratio with BNP Level and Cardiovascular Mortality in the General Population: The Yamagata Study 10-Year Follow-Up https://pubmed.ncbi.nlm.nih.gov/27872510/

White blood cell count and mortality in the Baltimore Longitudinal Study of Aging https://pubmed.ncbi.nlm.nih.gov/17481443/

Age and sex variation in serum albumin concentration: an observational study https://pubmed.ncbi.nlm.nih.gov/26071488/

The gamma gap predicts 4-year all-cause mortality among nonagenarians and centenarians https://pubmed.ncbi.nlm.nih.gov/29348636/

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

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/

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/