Sunday, April 10, 2016

The Problem with Nutrigenomics

"Personalized nutritional counseling is a burgeoning field. Several companies, including Vitagene, Nutrigenomix and DNAFit, are already offering individualized dietary counseling.  Their efforts are based mostly on genetic testing, but scientists have only just begun to explore the links between DNA and good nutrition. “I think companies offering personalized dietary advice are probably running ahead of the evidence,” said John Mathers, director of the Human Nutrition Research Center at Newcastle University in Britain." [NYTimes Blog]


Science skeptics have recently reviewed these services, and found plenty of quackery. [Science Based Medicine] [Skeptical Raptor]

However, there is some research to back up the idea that genetic testing can provide insights into metabolic disorders.  There may be as many as 200 SNPs for which there are proven metabolic effects, and only a subset of these alter nutrient requirements in a significant portion of the population [e.g., the rs1801133 MTHFR SNP and folate requirement in 15–30% of the population (Solis et al., 2008) and the rs12325817 PEMT SNP and choline requirement in 20–45% of the population (da Costa et al., 2006)].

What do genetic testing services measure?

The human genome consists of about 3 billion nuceleotide bases, each of which is either A,C, T, or G.  A reference genome based on the similarities of all genotyped humans has been assembled, along with a corresponding reference database of all of the point "mutations" where individuals differ from that baseline.  So far, scientists have documented about 150 million of these single nucleotide polymorphisms, called SNPs.  The average person doesn't have all of these differences, however; most people have about 3 millions SNPs that differentiate them from the reference human genome.   Since 3 million is about 0.1% of the 3 billion base pairs, most humans differ from each other by about 0.1% of our DNA. Ancestry genomic testing services like 23andme test for a few hundred thousand SNPs for $100-$200.  For $1000-10,000 a complete genomic sequence can be obtained.  (there are about 3 billion bases total.  

Examples: MTHFR – metabolic pathways and nutrigenomics

In humans, SNPs in the gene MTHFD1 increase the demand for betaine as a methyl-donor, thereby increasing the dietary requirement for choline. Another SNP in the gene PEMT prevents the activation of this gene by estrogen, thereby decreasing endogenous production of phosphatidylcholine (a source of choline) in the liver and increasing the dietary requirement for choline. [Choline: Critical Role During Fetal Development and Dietary Requirements in Adults. Ziesel]

But note that it is not so simple.  There are several forms of the MTHFD1 gene, for example MTHFD1L and MTHFD2. If MTHFD1 is commonly mutated, it may be a pseudogene.

Complexities interpreting SNPs

No simple test can unravel the intricacies of the human genome, and consumers should be suspicious of anyone claiming to be able to interpret measurements of tens of thousands of genes, with millions of genetic variations, some of which have effects on hundreds or thousands of the small molecules of metabolism (and perhaps on thousands of peptides or proteins involved in metabolism).
[A grand challenge for nutrigenomics.  Steven Zeisel. 2010.]

Mistakes in genomics data

Note that 23andme data, like any large genome scan, can have mistakes in it.  For example, the Enlis genomics blog found more than 500 likely mistakes in a sample of 23andme raw data!  (Enlis)

Furthermore, many important nutritional SNPs are not testing by 23andme.

Solution: Metabolic Testing
There is a genetic test for MTHFR variations. But there’s also a cheaper and more accurate way to test for whetherMTHFR variations are causing disease. We simply check the levels of homocysteine in the blood...In other words, the homocysteine levels determine our actions, not the MTHFR test results.[Cleveland Clinic]

Tuesday, April 05, 2016

Portable Real-Time Measurement of Air Quality

I recently purchased a Uni-Trend Air Quality Meter.

It measures VOCs (both natural and man-made), PM2.5, and temperature and humidity.

Coarse particles (PM10) have a diameter of between 10 micrometers and 2.5 micrometers and settle relatively quickly whereas fine (PM2.5) (0.1 to 2.5 micrometers in diameter) particles remain in suspension for longer. To put things into perspective, human hair has a diameter of 50-70 micrometers and a grain of sand has a diameter of 90 micrometers.

Sources of fine particles include all types of combustion activities (motor vehicles, power plants, wood burning, etc.) and certain industrial processes.  Sources of coarse particles include crushing or grinding operations, and dust from paved or unpaved roads.

PM2.5 is made up of sulfates, nitrates, carbon, and soil.

Albuquerque reports the Air Quality Index for daily pollen and Fine/Coarse Particulates:

 But these numbers are reported as "Index" values, and have to be converted to ug/m3 to compare to measured values:

Over the last week, Albuquerque has reported AQI for PM2.5 of almost 50, which should be about 15 micrograms per square meter, whereas my unit typically reports 30-50 micrograms per square meter, indoors and outdoors.  It is possible that ABQ measures air quality higher from the ground than my unit, or that PM2.5 is lower during the night when I don't check it.

Here is an excellent resource for more information.  Most of the graphics on this page are from this source.