Tag Archives: Creatinine

Biomarkers Of Kidney Function: Creatinine, Cystatin C, What’s Optimal?

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Use Code: CONQUERAGING

NAD+ Quantification: https://www.jinfiniti.com/intracellular-nad-test/
Use Code: ConquerAging At Checkout

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At-Home Blood Testing: https://getquantify.io/mlustgarten

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Papers referenced in the video:
Structural and physiological changes of the kidney with age and its impact on chronic conditions and COVID-19 https://pubmed.ncbi.nlm.nih.gov/37031725/

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

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/

Variation in serum creatinine level is correlated to risk of type 2 diabetes
https://pubmed.ncbi.nlm.nih.gov/24396680/

Age and cystatin C in healthy adults: a collaborative study https://pubmed.ncbi.nlm.nih.gov/19749145/

Cystatin C and long-term mortality among subjects with normal creatinine-based estimated glomerular filtration rates: NHANES III (Third National Health and Nutrition Examination Survey) https://pubmed.ncbi.nlm.nih.gov/21109116/

Biological age estimation using circulating blood biomarkers https://www.nature.com/articles/s42003-023-05456-z

Blood Test #1 in 2024: What’s My Biological Age?

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Discount Links:
At-Home Metabolomics: https://iollo.com?ref=michael-lustgarten

NAD+ Quantification: https://www.jinfiniti.com/intracellular-nad-test/
Use Code: ConquerAging At Checkout

Epigenetic, Telomere Testing: Trudiagnostic.pxf.io/R55XDv
Use Code: CONQUERAGING

Oral Microbiome: https://www.bristlehealth.com/?ref=michaellustgarten
Use Code: ConquerAging

Green Tea: https://www.ochaandco.com/?ref=conqueraging

At-Home Blood Testing: https://getquantify.io/mlustgarten

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

If you’d like to support the channel, you can do that with the website, Buy Me A Coffee: https://www.buymeacoffee.com/mlhnrca

Conquer Aging Or Die Trying Merch! https://my-store-d4e7df.creator-spring.com/


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/

Albumin, CRP, and Creatinine: Better Markers Of Longevity Than Lipoproteins And Glycemic Status

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Discount Links:
At-Home Metabolomics: https://iollo.com?ref=michael-lustgarten Use Code: CONQUERAGING At Checkout

NAD+ Quantification: https://www.jinfiniti.com/intracellular-nad-test/
Use Code: ConquerAging At Checkout

Epigenetic Testing: Trudiagnostic.pxf.io/R55XDv
Use Code: CONQUERAGING

Oral Microbiome (Enter Code: ConquerAging): https://www.bristlehealth.com/?ref=michaellustgarten

Green Tea: https://www.ochaandco.com/?ref=conqueraging

At-Home Blood Testing: https://getquantify.io/mlustgarten

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

If you’d like to support the channel, you can do that with the website, Buy Me A Coffee: https://www.buymeacoffee.com/mlhnrca

Conquer Aging Or Die Trying Merch! https://my-store-d4e7df.creator-spring.com/

Quantifying Biological Age: Blood Test #6 in 2022

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TruDiagnostic Discount Link (Epigenetic Testing)
CONQUERAGING!

https://bit.ly/3Rken0n

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ConquerAging15

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

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If you’d like to support the channel, you can do that with Buy Me A Coffee!
https://www.buymeacoffee.com/mlhnrca


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/

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/

Optimizing Blood Cholesterol Levels: What’s My Data?

In an earlier video, I presented data for total cholesterol (TC) levels in blood in terms of changes during aging and all-cause mortality risk. I’ve measured TC 25 times in the past 5 years, and in this video, I present that data, and my approach to optimize it.

https://www.youtube.com/watch?v=PBv_hXwUqHM&feature=emb_logo

Serum Creatinine: What’s Optimal?

In this relatively short clip, I talk about how serum levels of creatinine change during aging, what levels are associated with risk of death for all causes, and I show my own data for 15+ years!