Join us on Patreon! https://www.patreon.com/MichaelLustgartenPhD Levine’s Biological age calculator is embedded as an Excel file in this link: https://michaellustgarten.com/2019/09/09/quantifying-biological-age/ Papers referenced in the video: The baseline levels and risk factors for high-sensitive C-reactive protein in Chinese healthy population https://immunityageing.biomedcentral.com/articles/10.1186/s12979-018-0126-7 Commonly used clinical chemistry tests as mortality predictors: Results from two […]
Part II: Use Of Machine Learning In Longevity Science: A Conversation With Dr. Michael Rose Part III: Which Diet Is Optimal For Health: The Evolutionary Perspective Full, 80-minute, unedited video: Papers referenced in the videos: Can human aging be postponed? https://pubmed.ncbi.nlm.nih.gov/10614072/ Paper referenced in the video: Diet and Botanical Supplementation: […]
HOMA calculator: https://www.omnicalculator.com/health… Papers referenced in the video: Growth hormone-releasing hormone disruption extends lifespan and regulates response to caloric restriction in mice https://pubmed.ncbi.nlm.nih.gov/24175… Glucose regulation and oxidative stress in healthy centenarians https://pubmed.ncbi.nlm.nih.gov/12543… Distribution of blood glucose and prevalence of diabetes among centenarians and oldest-old in China: based on the China […]
Papers referenced in the video: Sirtuins, Healthspan, and Longevity in Mammals https://www.sciencedirect.com/science… Sirt1 extends life span and delays aging in mice through the regulation of Nk2 homeobox 1 in the DMH and LH https://pubmed.ncbi.nlm.nih.gov/24011… Resveratrol improves health and survival of mice on a high-calorie diet https://pubmed.ncbi.nlm.nih.gov/17086… Rapamycin, But Not Resveratrol […]
Papers referenced in the video: FGF21 and Chronic Kidney Disease: https://www.sciencedirect.com/science… The starvation hormone, fibroblast growth factor-21, extends lifespan in mice: https://www.ncbi.nlm.nih.gov/pmc/arti… Inhibition of growth hormone signaling by the fasting-induced hormone FGF21: https://pubmed.ncbi.nlm.nih.gov/18585… Alpha-Ketoglutarate, an Endogenous Metabolite, Extends Lifespan and Compresses Morbidity in Aging Mice: https://pubmed.ncbi.nlm.nih.gov/32877… Berberine ameliorates cellular senescence […]
In November 2020, I made a HDL video based on a meta-analysis in ~3.4 million subjects that was published in July 2020. In Dec 2020, a larger study (n=15.8 million subjects) was published-those data are presented in the video, and compared against the meta-analysis. In addition, I’ve tested my HDL […]
Papers referenced in the video: DNA methylation GrimAge strongly predicts lifespan and healthspan: https://pubmed.ncbi.nlm.nih.gov/30669… GrimAge outperforms other epigenetic clocks in the prediction of age-related clinical phenotypes and all-cause mortality: https://pubmed.ncbi.nlm.nih.gov/33211… Dietary intake and blood concentrations of antioxidants and the risk of cardiovascular disease, total cancer, and all-cause mortality: a systematic […]
The maximal reduction for biological age when using the biological age calculator, Phenotypic Age, is ~20 years. In other words, if I’m 80 years old and my biomarkers are all reflective of youth, the lowest possible biological age will be ~60 years old. One reason for that is the inclusion […]
Here’s the first interview clip (of a series) with Modern Healthspan on YouTube where we discuss the role of the microbiome on health and longevity: Part II: Skin, Oral Microbiome & Immune System Part III: Optimal Health with Soluble Fiber Part IV – Microbial Burden & Hallmarks of Aging Part […]
The Hallmarks of Aging are well established, but what is less discussed is the impact of microbes and/or microbial products. The bacterial metabolite, LPS, increases during aging, and it negatively impacts mitochondrial function, thereby demonstrating a role for microbial products on one of the Hallmarks of Aging, mitochondrial dysfunction.
LDL is arguably the most debated biomarker in terms of what’s optimal for health. In the video, I present data showing that 100 – 140, not 50 – 70 mg/dL may be optimal in terms of minimizing disease risk and maximizing longevity.
In the video below, Steve Hill from Lifespan.io and I talk about findings from a recent paper (https://content.iospress.com/articles/journal-of-alzheimers-disease/jad200306) that supports a role for the gut microbiome on Alxheimer’s disease. Check it out!
Meta-analysis for the association between HDL with all-cause mortality risk has identified HDL levels 55 – 60 mg/dL range as optimal. However, that data includes subjects up to 85y-in the video, I present data for 85y – 115yr olds that additionally suggests HDL in the 55 – 60 mg/dL range […]
Animal products, including meat, cheese, and eggs contain carnitine and choline, metabolites that are converted by gut bacteria into TMA, which is then converted by the liver into TMAO. Plasma levels of TMAO are associated with an increased risk of disease and death, so should we limit intake of these […]
A reduced mortality risk and an increased lifespan has been reported for people who have APOE2 alleles, when compared with APOE3 or APOE4, but beyond associations, data for lifespan in APOE-expressing mice was recently reported, evidence that supports a causative role for APOE on longevity.
Here’s a podcast that was recorded with WildHealth, enjoy!
Cooking foods at temperatures higher than boiling produces advanced glycation end (AGE) products, which induce insulin resistance and inflammation, and shorten lifespan in mice. Similar data exists in humans for the effect of dietary AGE products on insulin resistance and inflammation, and a higher dietary AGE product intake is associated […]
Germ-free mice (animals don’t have a microbiome) live longer than microbiome-containing mice, but it’s impractical for people to live in a bubble for their entire lifespan. As a more practical approach, which microbiome-derived factors impact lifespan, and can they be modified? Dietary supplementation with acarbose increases lifespan, and one reason […]
Maximal lifespan in calorie restricted (CR) mice can range from 45 – 55 months. In this video, I present data for 3 studies on rapamycin-can it beat CR for maximal lifespan?
On my latest blood test (August 2015), my total cholesterol was 127 mg/dL-is that value optimal for health and longevity? Based on data for 1,104,294 men younger than 60y (median age, 40y) that were followed for up to 14 years (Fulks et al. 2009), my 127 mg/dL value (1 – 2.4%) […]
In order to slow aging, it’s important to know how circulating biomarkers change during aging, and how these biomarkers are associated with risk of death for all causes. In this video, I discuss blood test data for the oldest old, including centenarians (100 – 104y), semi-centenarians (105 – 109y), and […]
Vitamin K is found in 2 predominant forms, Vitamin K1 (phylloquinone), found almost exclusively in green leafy vegetables, and Vitamin K2 (Menaquinone), found in fermented foods, organ meats, meat, butter and eggs. In the data below (Juanola-Falgarona et al. 2014), we see that Vitamin K1 (phylloquinone) is negatively associated with […]
Blood urea nitrogen (BUN) is one of the 19 variables found on the biological age calculator, aging.ai. It measures the amount of nitrogen, as contained in urea (i.e., blood urea nitrogen, BUN) in your blood. The reference range for BUN is 5 – 20 mg/dL, but within that range, what’s […]
How much Vitamin C (ascorbic acid) is optimal for health? To answer this question, I’ll examine the association between circulating levels of Vitamin C with all-cause mortality risk. Then, which dietary Vitamin C intake corresponds to optimal plasma levels? Let’s have a look! A variety of studies have investigated associations […]
Many interventions have been reported to increase NAD levels, but dietary components that can impact NAD levels are less discussed. Here, I highlight the ability of two dietary components, apigenin and quercetin to increase NAD, and report the foods that contain these metabolites.
In this video, I discuss data for 6 blood test measurements since 2018 that show a Phenotypic (Biological) Age that is ~14 years than my current age (47y). https://youtu.be/85t8vmIgR6s
What are the blood biomarkers of a centenarian, and is there room for improvement? Find out in the video below! https://www.youtube.com/watch?v=XhCUuxhxmpg
Here’s a video clip about my latest Biological Age measurement!
Most often overlooked on a standard blood test are the mean corpuscular volume (MCW) and Red Blood Cell Distribution Width (RDW). How do they change during aging, and what’s associated with all-cause mortality risk? Also, with the goal of optimizing MCV and RDW, how does my diet correlate with these […]
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! https://www.youtube.com/watch?v=PK6oBMMasFU
Interestingly, we recorded this as I was recovering from a respiratory infection. Was it SARS-CoV-2, or influenza? I’ll know later this week! https://www.bisu.bio/biohacking-to-100-longevity-lessons-from-15-years-of-self-tracking-ft-michael-lustgarten-phd/
In the first 45 minutes, discuss each of the biomarkers contained within Levine’s Biological Age calculator, Phenotypic Age. After that, I answer questions from the audience and we discuss all things related to aging. https://www.youtube.com/watch?v=8hs2n7U7J-k&t=30s
Exactly 1 month ago, my first biological age measurement of 2020 was 32.75y (https://michaellustgarten.com/2020/02/14/biological-age-32-75y-chronological-age-47y-first-2020-measurement/). When considering that my chronological age is 47y, that’s a 14 year improvement, but I wasn’t (and still aren’t) satisfied. When I sent my blood for analysis, I was battling a mild upper respiratory infection (cough, […]
In terms of all-cause mortality risk, is the reference range for circulating triglycerides (TG, <150 mg/dL) optimal? A meta-analysis of 38 studies in 360,556 subjects with a median age of 48y and a 12-year follow-up reported lowest all-cause mortality risk for subjects with TG values less than 90 mg/dL (equivalent to ~1 […]
Measurement of biological age with Levine’s Phenotypic Age calculator is strongly correlated with chronological age (r=0.94; see https://michaellustgarten.com/2019/09/09/quantifying-biological-age/). In 2019, I measured all 9 of its analytes 3 times, with biological age readings of 35.39y, 35.58y, and 31.3y, for an average 2019 biological age of 34.09y (see https://michaellustgarten.com/2019/11/01/biological-age-31-3y-chronological-age-46y/). That’s 12 […]
A meta-analysis of 10 studies, including 80,139 subjects was recently published that shows a significantly reduced risk of death for all causes in association with higher total dietary fiber intakes (35-39g/day), when compared with lower fiber (Reynolds et al. 2019): Should we supplement with fiber, or get it from […]
Here’s a link to a recent interview, https://biohackstack.com/posts/michael-lustgarten/?fbclid=IwAR059Jf6eT4SyvsqTxHaSir2hQuXKjV5R6kLg-7Df1Kc4c7ZKM6Tw-0qRwY Including: How (and why) did you get involved in research in aging and the human microbiome? How did you get started in health optimization / quantified-self? What are your thoughts on biological age testing? Which tests (epigenetic, blood biomarkers, telomere, etc) and […]
In an earlier post (https://michaellustgarten.com/2019/09/15/drink-green-tea-reduce-and-all-cause-mortality-risk/), I reported that green tea consumption is associated with reduced risk of death for all causes. Now, there’s more recent data! Drinking more than 1 cup of green tea per day is associated with reduced all-cause mortality risk in a pooled analysis of 8 studies […]
The reference range for uric acid is 4.0 – 8 mg/dL for men, and 2.5 – 7 mg/dL for women. Are these values optimal for health? To answer that question, let’s have a look at how circulating levels of uric acid change during aging, and their association with risk of […]
Having a faster rate of epigenetic aging, as measured by the epigenetic age metric, AgeAccelGrim, is associated with a significantly increased risk of death for all causes in a variety of cohorts, including the Framingham Heart Study (FHS), the Women’s Health Initiative (WHI) study, the InChianti study, the Jackson Heart […]
Three studies have investigated the ability of blood test analytes to predict biological age. First, when considering the top 20 variables that were associated with biological age in aging.ai, albumin contributed most to this prediction, almost 2x more than circulating levels of glucose (Mamoshina et al. 2018): Second, albumin was […]
To make it easier to review the aging and all-cause mortality data for the circulating biomarkers that are contained within the biological age calculator, Phenotypic Age (see https://michaellustgarten.com/2019/09/09/quantifying-biological-age/), here’s a checklist! 1. Albumin: https://michaellustgarten.com/2019/09/22/optimizing-serum-levels-of-albumin-data-from-20-blood-tests/ 2. Creatinine: https://michaellustgarten.com/2019/11/18/optimizing-biologic-age-creatinine/ 3. Glucose: https://michaellustgarten.com/2019/10/04/blood-glucose-whats-optimal/ 4. C-reactive protein: https://michaellustgarten.com/2019/10/19/optimizing-biological-age-crp/ 5. Lymphocyte %: https://michaellustgarten.com/2019/11/16/lympho-mortal/ 6. Mean […]
Creatinine is one of the 9 blood test variables included on the biological age calculator, Phenotypic Age (https://michaellustgarten.com/2019/09/09/quantifying-biological-age/). The reference range for women and men is 0.5 – 1.1, and 0.6 – 1.2 mg/dL respectively, but within that range, what’s optimal for health and longevity? To answer that question, it’s […]
The percentage of lymphocytes is one of the 9 blood test variables included in the biological age calculator, Phenotypic Age (https://michaellustgarten.com/2019/09/09/quantifying-biological-age/). The reference range for lymphocyte % is 20 – 40% of the total amount of white blood cells (WBCs), but are higher or lower values optimal for health and […]
My average biological age in 2019 is 12 years younger than my chronological age (46y) based on the Phenotypic Age calculator (https://michaellustgarten.com/2019/11/01/biological-age-31-3y-chronological-age-46y/), and 16y younger based on aging.ai (https://michaellustgarten.com/2019/11/04/years-of-biological-aging-in-the-past-4-years/). One factor that likely contributes to my relatively youthful biological age is my diet. Shown below is my average daily dietary […]
In an earlier post (https://michaellustgarten.com/2018/06/26/maximizing-health-and-lifespan-is-calorie-restriction-essential/), I documented my aging.ai biologic age for 13 blood test measurements from 2016 – 2019. If you missed that post, here are those data: Note that note my average biologic age has slowly increased from 2016 to 2019, from 28y in 2016 (2 measurements), to […]
On June 10, 2019 (for the first time) I measured all of the blood test variables that are included in the biologic age calculator, Phenotypic Age, and ended up with a biological age = 35.39y (https://michaellustgarten.com/2019/09/09/quantifying-biological-age/). While that value is 23% younger than my chronological age (46y), I knew that […]