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!
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 […]
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 […]
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 […]
High sensitivity C-Reactive Protein (CRP) is one of the 10 variables included in the biological age calculator, PhenoAge (https://michaellustgarten.com/2019/09/09/quantifying-biological-age/). The reference range for CRP is 0 – 3 mg/L, but within that range, what’s optimal? To answer that question, it’s important to know how CRP changes during aging, and what […]
Mean corpuscular volume (MCV) is one of the 10 variables included in the biological age calculator, PhenoAge (see https://michaellustgarten.com/2019/09/09/quantifying-biological-age/). It’s calculated by dividing the fraction of the blood that contains RBCs (hematocrit) by RBCs (MCV = hematocrit/RBC), thereby identifying the average volume contained within red blood cells. Although the MCV reference […]
Circulating levels of white blood cells (WBCs) are one of the 10 variables used to quantify biological age with PhenoAge (https://michaellustgarten.com/2019/09/09/quantifying-biological-age). The reference range for WBCs is 4.5 – 11 *10^9 cells/L, but within that range, what’s optimal? Several studies have reported that WBCs greater than 5 are associated with an […]
Alkaline phosphatase (ALP) is one of the 10 variables used to quantify biological age with PhenoAge (https://michaellustgarten.com/2019/09/09/quantifying-biological-age). The reference range for alkaline phosphatase is 20 – 140 IU/L*, but within that range, what’s optimal? Two separate meta-analyses have investigated the association between serum levels of ALP with risk of death […]
The reference range for circulating levels of glucose is 70-130 mg/dL. That’s a wide range, so what’s optimal, especially considering that glucose is one of the variables used to quantify of biological age (https://michaellustgarten.com/2019/09/09/quantifying-biological-age)? In the largest study published for this subject (12,455,361 adults), risk of death for all causes […]
In the first half of this presentation, I talk about my contribution to the gut-muscle axis in older adults, and in the second half, my personalized approach to optimal health! Also, here’s the article that corresponds to the presentation: https://www.leafscience.org/the-gut-microbiome-affects-muscle-strength-in-older-adults/ If you’re interested, please have a look at my book!
Following five lifestyle-related factors is associated with a gain in average life expectancy (Li et al. 2018). What are these factors? Not smoking, having a BMI between 18.5 to 24.9 kg/m2, engaging in more than 30 minutes of moderate to vigorous physical activity (at a minimum, walking ~3 miles per hour; 30 […]
In an earlier post, I showed published data that albumin levels decrease with aging, and that lower levels are associated with an increased all-cause mortality risk (https://michaellustgarten.com/2018/07/06/serum-albumin-and-acm/). I also showed my own blood test data (n=11), which included a strong correlation for albumin with my dietary intake of beta-carotene (r = […]
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 […]
Have a listen, I was on Generation Bold Radio yesterday, 9.14.2019! https://www.generationboldradio.us/
Is green tea consumption associated with reduced risk of death risk from all causes? To investigate this question, Tang et al. (2015) performed a meta-analysis of 5 studies, including 200,884 subjects. As shown below, drinking 2-3 cups (16-24 oz.) of green tea per day was associated with maximally decreased all-cause mortality risk, […]
In an earlier post, I wrote about quantifying my biological age with aging.ai (https://michaellustgarten.com/2018/06/26/maximizing-health-and-lifespan-is-calorie-restriction-essential/). The importance of that post is illustrated by the finding that based on data from 13 blood tests between 2016 – 2019, my average biological age is 29.2y, which is ~33% younger than my chronological age. […]
Very low, low, and high-density lipoproteins (VLDL, LDL, HDL, respectively) are commonly measured on the standard blood chemistry panel as measures of cardiovascular disease risk. Not included on that panel is another lipoprotein, Lp(a), which is a modified form of LDL. What’s the relationship between Lp(a) with disease risk? A […]
Microbiome Webinar featuring me, and Drs. Amy Proal and Cosmo Mielke! For more info, https://www.amazon.com/dp/B01G48A88A
I’ve posted individual dietary days as an example of what and how much I eat (https://michaellustgarten.com/2015/12/31/130-grams-of-fiber-2400-calories/). However, a few days of examples may not represent the whole dietary picture. To address this, below is my average nutrient intake for the past 100 days (from October 24, 2018-Feb 5 2019): Notice […]
To learn more, please have a look at my book!
My goal is to break the world record for lifespan, 122 years, which is currently held by Jean Calment. How do I plan to do that? A good start would be calorie restriction (CR), a diet where you eat 10-30%+ less calories than your normal intake. CR is the gold […]
On a recent blood test, my plasma level of homocysteine (Hcy) was 11.9 uMol. Is that optimal minimizing disease risk and maximizing longevity? Let’s have a look at the literature. A 2017 meta-analysis of 11 studies including 27,737 participants showed an increased risk of death from all causes (“all-cause mortality”; […]
Dr. Michael Lustgarten – Using an Evidence Based Approach for Optimal Health and Longevity If you’re interested, please have a look at my book!
Within the body, meat, grains, and nuts are generally acid-forming, whereas vegetables and fruits are alkaline-forming. Is the distinction between whether your diet is acid- or alkaline-forming important for optimal health and lifespan? In an earlier post, I discussed the importance of PRAL (potential renal acid load) by correlating it […]
https://vimeo.com/174783072 If you’re interested, please have a look at my book! https://www.amazon.com/Microbial-Burden-Major-Age-Related-Disease-ebook/dp/B01G48A88A
If you’re interested, please have a look at my book!
Video of my presentation starts at 14:28, and lasts until 1:29:00+! If you’re interested, please have a look at my book!
Here’s my book, available now! https://www.amazon.com/dp/B01G48A88A
If you’re interested, please have a look at my book!