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 […]

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 […]

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 = […]