My latest blood test results are in-how’s my biological age? In the video I discuss my dietary approach prior to my latest blood test, the blood test results, and my plan to improve them going forward.

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 […]

Consistent exercise training would seem like the obvious choice to reduce resting heart rate (RHR) and to increase heart rate variability (HRV). Are there other factors that can impact these variables? Body weight and daily calorie intake may affect RHR and HRV, and in the video I present 700+ days […]

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, […]

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 […]

In earlier posts, I reported year-over-year improvements for my resting heart rate (RHR), from 51.5 (bpm) when I first started tracking in August 2018 to 48 bpm in November 2019 (https://michaellustgarten.com/2019/12/05/resting-heart-rate-heart-rate-variability-still-making-progress/). Did my year-over-year RHR improvement continue in December 2019? As shown below, in December 2018, my average RHR was […]

Besides diet (https://michaellustgarten.com/2019/12/07/slowing-epigenetic-aging-with-diet/), are there other factors that may impact epigenetic aging? First, let’s have a look at clinically relevant variables, including inflammation, the lipid profile, kidney function, blood pressure, and body size/dimensions (Liu et al. 2019): One of the strongest correlations for the clinical variables with epigenetic aging (AgeAccelGrim) […]

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 […]

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 […]

In an earlier post, based on data from the Baltimore Longitidunal Study on Aging (BLSA), I suggested that total white blood cell (WBCs) counts between 3500 to 6000 cells per microliter of blood may be optimal for reducing disease risk and for maximizing longevity (https://michaellustgarten.com/2015/08/13/blood-testing-whats-optimal-for-wbc-levels/). However, within WBCs, neutrophils increase, […]

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 […]

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!

Can biological age be optimized? The red blood cell (RBC) distribution width (RDW%) is one of the variables included in the PhenoAge biological age calculator (see https://michaellustgarten.com/2019/09/09/quantifying-biological-age/). Although the RDW% reference range is 11.5% – 14.5%, what values are optimal in terms a youthful biological age, and minimized disease risk? […]

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 = […]

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. […]

Circulating levels of calcium can deposit in the coronary arteries (and in other arterial sites), a process that is known as coronary artery calcification (CAC). Arterial calcification is associated with arterial stiffness, which increases risk for adverse cardiovascular events, including cardiovascular disease-related mortality (Allison et al. 2012). Can CAC accumulation be slowed/minimized/prevented? […]

In an earlier post, I wrote about the association between biomarkers of systemic acid-base balance (serum bicarbonate, the anion gap, urinary pH) with all-cause mortality risk (https://michaellustgarten.com/2015/08/28/serum-bicarbonate-and-anion-gap-whats-optimal/). Based on these data, systemic acidity may not be optimal for health and longevity, when compared with more alkaline values. Can circulating acid-base biomarkers […]