Author Archives: Michael Lustgarten

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About Michael Lustgarten

Ph.D, Physiology, University of Texas Health Science Center at San Antonio, 2009 B.S., Biochemistry, Queens College, 2003 B.A, English Textual Studies, 1994, Syracuse University

A Bile Acid (TBMCA) Is Involved In A Mechanism That Reduces Muscle Mass And Strength

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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:

Depletion of gut microbiota induces skeletal muscle atrophy by FXR-FGF15/19 signalling https://pubmed.ncbi.nlm.nih.gov/33783283/

Gut microbiota regulates bile acid metabolism by reducing the levels of tauro-beta-muricholic acid, a naturally occurring FXR antagonist https://pubmed.ncbi.nlm.nih.gov/23395169/

Fibroblast growth factor 19 regulates skeletal muscle mass and ameliorates muscle wasting in mice https://pubmed.ncbi.nlm.nih.gov/28650457/

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

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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/

Bile Acids: The Next Frontier In Longevity?

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Papers referenced in the video:

Glycine supplementation extends lifespan of male and female mice https://pubmed.ncbi.nlm.nih.gov/30916479/

Ergothioneine exhibits longevity-extension effect in Drosophila melanogaster via regulation of cholinergic neurotransmission, tyrosine metabolism, and fatty acid oxidation https://pubmed.ncbi.nlm.nih.gov/34877949/

17-a-estradiol late in life extends lifespan in aging UM-HET3 male mice; nicotinamide riboside and three other drugs do not affect lifespan in either sex https://pubmed.ncbi.nlm.nih.gov/33788371/

Metagenomic and metabolomic remodeling in nonagenarians and centenarians and its association with genetic and socioeconomic factors https://www.nature.com/articles/s43587-022-00193-0

Methionine Restriction Extends Lifespan in Progeroid Mice and Alters Lipid and Bile Acid Metabolism https://pubmed.ncbi.nlm.nih.gov/30157432/

Lifespan extension and delayed immune and collagen aging in mutant mice with defects in growth hormone production https://pubmed.ncbi.nlm.nih.gov/11371619/

Alterations in xenobiotic metabolism in the long-lived Little mice https://pubmed.ncbi.nlm.nih.gov/17521389/ Life-Span Extension in Mice by Preweaning Food Restriction and by Methionine Restriction in Middle Age https://pubmed.ncbi.nlm.nih.gov/19414512/

Bile Acids: A Communication Channel in the Gut-Brain Axis https://pubmed.ncbi.nlm.nih.gov/33085065/

Resting Heart Rate And Heart Rate Variability: What’s Optimal, 4-Year Progress

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Papers referenced in the video: Inter- and intraindividual 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 #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/

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/

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/