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/
Increased red blood cell distribution width (RDW) is associated with higher glycosylated hemoglobin (HbA1c) in the elderly https://pubmed.ncbi.nlm.nih.gov/25651746/
Reduced oxidant stress and extended lifespan in mice exposed to a low glycotoxin diet: association with increased AGER1 expression https://pubmed.ncbi.nlm.nih.gov/17525257/
Gut microbiota drives age-related oxidative stress and mitochondrial damage in microglia via the metabolite N 6-carboxymethyllysine https://pubmed.ncbi.nlm.nih.gov/35241804/
Plasma Carboxymethyl-Lysine, an Advanced Glycation End Product, and All-Cause and Cardiovascular Disease Mortality in Older Community-Dwelling Adults https://pubmed.ncbi.nlm.nih.gov/19682127/
Advanced glycation end products and their circulating receptors predict cardiovascular disease mortality in older community dwelling women https://pubmed.ncbi.nlm.nih.gov/19448391/
Acute Hyperglycemia Causes Intracellular Formation of CML and Activation of ras, p42/44 MAPK, and Nuclear Factor KappaB in PBMCs https://pubmed.ncbi.nlm.nih.gov/12606501/
Experimental Hyperglycemia Alters Circulating Concentrations and Renal Clearance of Oxidative and Advanced Glycation End Products in Healthy Obese Humans https://pubmed.ncbi.nlm.nih.gov/30823632/
Novel associations between blood metabolites and kidney function among Bogalusa Heart Study and Multi-Ethnic Study of Atherosclerosis participants https://pubmed.ncbi.nlm.nih.gov/31720858/
Serum Carboxymethyl-lysine, a Dominant Advanced Glycation End Product, is Associated with Chronic Kidney Disease: the Baltimore Longitudinal Study of Aging https://pubmed.ncbi.nlm.nih.gov/19853477/
Age-Associated Changes in Gut Microbiota and Dietary Components Related with the Immune System in Adulthood and Old Age: A Cross-Sectional Study https://pubmed.ncbi.nlm.nih.gov/31370…
The microbiome of professional athletes differs from that of more sedentary subjects in composition and particularly at the functional metabolic level https://pubmed.ncbi.nlm.nih.gov/28360…
For those who track their diet, eating only the RDA for many nutrients may not optimize health. For example, the RDA for selenium is 55 micrograms per day, but is that amount optimal for reducing risk of death for all causes?
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 2 more times since November 2020, so how’s my progress for getting it into the optimal range? Also, I attempt to derive clinical significance by identifying correlations for higher HDL with lower Lp(a) and hs-CRP.
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 animal products? Separately, fish contains relatively high levels of TMAO, and blood levels of TMAO spike after fish consumption, but there is a decreased all-cause mortality risk for fish consumers. To explain these disparate findings, other factors may be involved in the TMAO-health and disease story. In the video, I discuss the impact of kidney function on plasma levels of TMAO, disease and mortality risk.
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 death from all causes:
Death from all causes was assessed based on the average value for four groups of Vitamin K1 intake: 171 ug/day = blue line, 276 ug/day =red line, 349 ug/day = green line and 626 ug/day = the yellow line. In the data above, Vitamin K1 values less than 349 ug/day are about the same in terms of all-cause mortality risk. However, those who ate 626 ug/day of Vitamin K1 had about half of the mortality risk compared to the lower K1 intake groups! Interestingly, the RDA for Vitamin K, at 90 ug/day seems to be outdated, based on the data above. Also, Vitamin K2 was not associated with all-cause mortality risk, as shown below:
Based on the K1 mortality data, 626 ug/day seems like a good goal. However, osteocalcin is a Vitamin K-dependent protein that has been shown to be maximally active in the presence of 1000 ug of Vitamin K1 (Binkley et al. 2002)! Osteocalcin is involved in pathways that decline with aging: insulin secretion and β-cell proliferation in the pancreas, energy expenditure by muscle, insulin sensitivity in adipose tissue, muscle and liver, and increased testosterone production (Karsenty and Ferron 2012). Therefore, getting 1000 ug+ per day of Vitamin K1 may optimize all of these functions and, decrease mortality risk!
What’s the take home from these data? Eat more leafy greens! How much is needed to get 1000 ug per day? Shown below is a short list of foods rich in Vitamin K and the serving size needed to reach 1000 ug. Approximately 4 ounces of cooked kale or 7 oz. of raw spinach will suffice, and at a low calorie yield. Other foods, like broccoli, brussel sprouts or romaine lettuce would need to be consumed in far greater amounts to reach 1000 ug.
What’s my daily K1 intake? Shown below is my 7-day average (7/16/2015 – 7/22/2015) for K intake, derived almost exclusively from plant sources. 1379 ug/day puts me well above the 626 ug/day that was associated with reduced mortality risk, and above the 1000 ug/day needed for maximal osteocalcin activation.