Tag Archives: Quantified Self

Blood Test #7 in 2022: Diet Composition

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Attempting To Optimize The Oral Microbiome, Part 3: A Role For Berberine

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Papers referenced in the video:
Association between periodontal pathogens and systemic disease
https://pubmed.ncbi.nlm.nih.gov/30987702/

Anti-biofilm properties of Satureja hortensis L. essential oil against periodontal pathogens
https://pubmed.ncbi.nlm.nih.gov/19285147/

An in vitro study of the effects of Phellodendron bark extract and berberine chloride on periodontal pathogenic bacteria in the oral microbiome
https://pubmed.ncbi.nlm.nih.gov/36473619/

L. plantarum Increases Muscle Mass And Physical Function (Part II)

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Papers referenced in the video:
Lactobacillus plantarum TWK10 Attenuates Aging-Associated Muscle Weakness, Bone Loss, and Cognitive Impairment by Modulating the Gut Microbiome in Mice
https://pubmed.ncbi.nlm.nih.gov/34722603/

Effect of Lactobacillus plantarum TWK10 on Exercise Physiological Adaptation, Performance, and Body Composition in Healthy Humans
https://pubmed.ncbi.nlm.nih.gov/31752370/

Lactobacillus plantarum TWK10 Improves Muscle Mass and Functional Performance in Frail Older Adults: A Randomized, Double-Blind Clinical Trial
https://pubmed.ncbi.nlm.nih.gov/34361902/

A global clinical measure of fitness and frailty in elderly people
https://pubmed.ncbi.nlm.nih.gov/16129869/

Quantifying Biological Age: Blood Test #6 in 2022

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The Excel file to calculate Levine’s Biological Age is embedded in this link from my website:
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Breaths Per Minute While Asleep: What’s Optimal?

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Papers referenced in the video:
Mean nocturnal respiratory rate predicts cardiovascular and allcause mortality in community-dwelling older men and women
https://pubmed.ncbi.nlm.nih.gov/31151958/

Measurement of respiratory rate using wearable devices and applications to COVID-19 detection
https://pubmed.ncbi.nlm.nih.gov/34526602/

Improve Lung Function, Reduce Blood Pressure, Slow Brain Aging?

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Papers referenced in the video:
Biological aging of human body and brain systems (preprint)
https://www.medrxiv.org/content/10.1101/2022.09.03.22279337v1.full.pdf

A Physiology Clock for Human Aging (preprint)
https://www.biorxiv.org/content/10.1101/2022.04.14.488358v1.full

Spirometry Reference Equations for Central European Populations from School Age to Old Age https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0052619

An Integrated, Multimodal, Digital Health Solution for Chronic Obstructive Pulmonary Disease: Prospective Observational Pilot Study
https://pubmed.ncbi.nlm.nih.gov/35142291/

Influence of Inspiratory Muscle Training of Various Intensities on the Physical Performance of Long-Distance Runners
https://pubmed.ncbi.nlm.nih.gov/33312301/

Time-efficient, high-resistance inspiratory muscle strength training for
cardiovascular aging
https://pubmed.ncbi.nlm.nih.gov/34389471/

Optimal Blood Pressure Keeps Our Brains Younger
https://pubmed.ncbi.nlm.nih.gov/34675795/

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/

DHEA-S Is A Weakness In My Data: Blood Test #5 in 2022

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Papers referenced in the video:
Total cholesterol and all-cause mortality by sex and age: a prospective cohort study among 12.8 million adults
https://pubmed.ncbi.nlm.nih.gov/30733566/

The Value of Serum Albumin and High-Density Lipoprotein Cholesterol in Defining Mortality Risk in Older Persons with Low Serum Cholesterol
https://pubmed.ncbi.nlm.nih.gov/11559371/

Reference intervals of nine steroid hormones over the life-span analyzed by LC-MS/MS: Effect of age, gender, puberty, and oral contraceptives
https://pubmed.ncbi.nlm.nih.gov/31201927/

Incomplete Pattern of Steroidogenic Protein Expression in Functioning Adrenocortical Carcinomas
https://pubmed.ncbi.nlm.nih.gov/32751564/

Serum dehydroepiandrosterone sulfate levels predict longevity in men: 27-year follow up study in a community based cohort (Tanushimaru study)
https://pubmed.ncbi.nlm.nih.gov/18422949/

Quantifying Biological Age: Blood Test #5 in 2022

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Papers referenced in the video:
A new aging measure captures morbidity and mortality risk across diverse subpopulations from NHANES IV: A cohort study
https://pubmed.ncbi.nlm.nih.gov/30596641/

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

Biological Aging Predicts Vulnerability to COVID-19 Severity in UK Biobank Participants
https://pubmed.ncbi.nlm.nih.gov/33684206/

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/

The Excel file to calculate Levine’s Biological Age is embedded in this link from my website:
https://michaellustgarten.com/2019/09/09/quantifying-biological-age/

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/