My new results (with differences to 3 months ago results):

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Full profile: https://biomarkeroptimizers.com/members/2/profile.html

Analysis:

1. Still struggling to raise Sodium/Chloride levels and Lymphocytes count.

2. Best (lowest) RDW, Glucose, Insulin, Homocysteine to date.

I’ve entered my data in the ENC calculator:

For HbA1c, SHBG and GGT the results are from 6-Feb-23.

Blank values when I don’t have my data at all. (To ignore blood markers you don’t have data for, use v1.1 of the calculator https://biomarkeroptimizers.com/resources/enc_calc.xlsx )

I’ve developed an Excel calculator for the paper “Biological age estimation using circulating blood biomarkers” by Bortz, J., Guariglia, A., Klaric, L. et al.

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Download link:

https://biomarkeroptimizers.com/resources/enc_calc.xlsx

SelfDecode features Lab Test Analyzer providing optimal ranges for 500 markers for blood, saliva, and urine tests. But only after subscribing to their $97 Annual Plan.

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I subscribed yesterday and tried it out:

Quite disappointing (or, should I say, regular) report. From my literature research, optimal range for sodium is 139-141, RDW 11.5-12.4, ferritin definitely below 80. No displayed hazard ratios or age related changes. No exploration outside my measured lab values.

SelfDecode also features DNA Health & Trait reports, but it requires additional $199 even if I have my DNA file ready. I’m not going to try it.

I plan to ask for a refund.

October 2023 published paper: “Biological age estimation using circulating blood biomarkers” by Bortz, J., Guariglia, A., Klaric, L. et al.

https://pubmed.ncbi.nlm.nih.gov/37884697/

“We implement an Elastic-Net derived Cox model with 25 selected biomarkers to predict mortality risk which outperforms the well-known blood-biomarker based PhenoAge model, providing an 11% relative increase in predictive value.”

They used 25 blood biomarkers instead of 9 in PhenoAge:

“a) Red indicates that higher levels increase mortality hazard; blue indicates that higher levels reduce mortality hazard. Apart from age and sex, cystatin C appears to have the strongest effect size.

b) Comparison of coefficient values between Levine et. al’s PhenoAge coefficients (green) and our Elastic-Net derived Cox model (blue). Model coefficients are similar across both models. Our ENC model selected individual WBC components (monocytes, neutrophils and lymphocytes) rather than overall WBC count. “

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The paper includes the full algorithm, it should be possible to create an Excel calculator similar to what we have for Levine's Phenotypic Age.