This paper reports on a new biomarker based clock. However, they have not yet published the supplementary tables with the details of the clock. I have emailed and asked them.
When I get the details I hope to have this clock available on my biohacking website.
I don’t think they have published yet how to actually calculate PCAge, but I have the list of biomarkers from their supplementary tables:
Biomarker
Ferritin
Hematocrit
Hemoglobin
Mean Corpuscular Hemoglobin
Mean Corpuscular Hemoglobin Conc
Mean Corpuscular Volume
Mean Platelet Volume
Platelet Distribution width
Platelet Count
Red Blood Cell Count
Red Cell Distribution Width
Homocysteine
BDNF (serum)
Clusterin
Stroke
Total mental status summary score
Total cognition summary score
Immediate word recall
Delayed word recall
Total word recall summary score
Serial 7s
Shortness of breath while awake
PCcomponents of Grimage
Previous High Blood Pressure
Previous Heart Attack
Previous Stroke
Homocysteine
BMI
IGF1
DHEAS
Ferritin
C-Reactive Protein
Transforming Growth Factor Beta
Interleukin 10
Interleukin 1 Receptor Antagonist
Interleukin 6
Tumor Necrosis Factor Receptor 1
Eosinophil Count
Lymphocyte Count
Monocyte Count
Neutrophil Count
Percent Basophils
Percent Eosinophils
Percent Lymphocytes
Percent Monocytes
White Blood Cell Count
Myeloid Dendritic cells (DC-M) Percentage
Plasmacytoid Dendritic Cells (DC-P) Percentage
NK Cells: CD56HI Percentage
NK Cells: CD56LO Percentage
CD16- Monocytes Percentage
CD16+ Monocytes Percentage
B Cells Percentage
CD8+ T Cells: Central Memory (CM) Percentage
CD4+ T Cells: Central Memory (CM) Percentage
CD8+ T Cells Percentage
CD8+ T Cells: (TemRA) Percentage
CD4+ T Cells: (TemRA) Percentage
CD4+ T Cells Percentage
IgD+ Memory B Cells Percentage
IgD- Memory B Cells Percentage
CD8+ T Cells: NaÔve Percentage
CD4+ T Cells: NaÔve Percentage
T Cells Percentage
Naive B Cells Percentage
CD8+ T Cells: Effector Memory (Tem) Percentage
CD4+ T Cells: Effector Memory (Tem) Percentage
Natural Killer (NK) Cells Percentage
Monocytes Percentage
Dendritic Cells Percentage
Albumin
Urea Nitrogen
Chloride
Bicarbonate
Creatinine
Cystatin C
Potassium
Sodium
Albumin
Alkaline Phosphatase
ALT
AST
Bilirubin
Total Protein
Peak expiratory flow
Bicarbonate
Chronic lung disease
Shortness of breath while awake
Persistent wheezing, cough, or bringing up phlegm
PCSmoking-packyears
Previous Diabetes
C-Reactive Protein
Glucose-Fasting
HDL-Cholesterol
LDL-Cholesterol
Triglycerides
Interleukin-6
BMI
Waist circumference
Vitamin D3
Dehydroepiandrosterone sulphate
IGF1
Arthritis
Height
Weight
BMI
some diff-mobility
hand grip strength maximum measurement
semi tandem balance test time
timed walk test time
hand grip strength-left hand
hand grip strength-right hand
had back problems
some diff-stoop/kneel/crouch
diff-stoop/kneel/crouch
diff-walk one block
diff-walk sev blocks
some diff-walk one block
some diff-walk sev blocks
diff-climb sev flt stair
diff-climb one flt stair
some diff-clmb sev flt str
some diff-clmb 1 flt stair
diff-get up fr chair
some diff-get up fr chair
diff-reach/extnd arms up
some diff-rch/xtnd arms up
diff-lift/carry 10lbs
some diff-lift/carry 10lbs
side-by-side balance test time
full tandem balance test time
Sum of 7 different functional tests
Combination of all balance scores
There’s a shorter list for the “clinical” edition of the biological age calculator, as I understand it. Do you have that list of metrics? I’ll see if I can find it as well.
Here is the reference from the paper
“The final PC_mAge includes only parameters from the complete blood count, renal function tests, liver function tests, iron panel, vitamin B12, folate, CRP, fibrinogen, LDH, NT-proBNP, uric acid, glucose, HbA1c, lipid panel, urine ACR, blood pressure, pulse rate, BMI, smoking status, and a limited subset of medical history. All parameters used in PC_mAge can be measured in a standard clinical laboratory using only three blood samples (two collected into EDTA blood collection tubes and one into a serum separator blood collection tube), as well as one urine sample.”
Sorry folks, but I got confused between a paper released on 16/7 and one released on 17/7. The list above is from 17/7
This is the short list (from the other paper) 16/7:
Chronological Age (
) (months)
Body Mass Index (kg/m2)
Systolic Blood Pressure (mmHg)
Diastolic Blood Pressure (mmHg)
Pulse Rate (bpm)
Hemoglobin (g/dL)
Red Blood Cell Count (million cells/µL)
Hematocrit (%)
Mean Cell Volume (fL)
Mean Cell Hemoglobin (pg)
Mean Cell Hemoglobin Concentration (g/dL)
Red Cell Distribution Width (%)
Platelet Count (1000 cells/µL)
Mean Platelet Volume (fL)
White Blood Cell Count (1000 cells/µL)
Segmented Neutrophils Percent (%)
Lymphocyte Percent (%)
Monocyte Percent (%)
Eosinophils Percent (%)
Basophils Percent (%)
Segmented Neutrophils Number (1000 cells/µL)
Lymphocyte Number (1000 cells/µL)
Monocyte Number (1000 cells/µL)
Basophils Number (1000 cells/µL)
Log C-Reactive Protein (mg/dL)
Fibrinogen (g/L)
Lactate Dehydrogenase (U/L)
Iron (µmol/L)
Total Iron Binding Capacity (µmol/L)
Transferrin Saturation (%)
Ferritin (µg/L)
Folate (nmol/L)
Vitamin B12 (pmol/L)
Blood Urea Nitrogen (mmol/L)
Sodium (mmol/L)
Potassium (mmol/L)
Chloride (mmol/L)
Bicarbonate (mmol/L)
Creatinine (µmol/L)
Calcium Total (mmol/L)
Phosphorus (mmol/L)
Protein Total (g/L)
Albumin (g/L)
Globulin (g/L)
Bilirubin (µmol/L)
Alkaline Phosphatase (IU/L)
Alanine Aminotransferase (U/L)
Aspartate Aminotransferase (U/L)
Gamma Glutamyl Transferase (U/L)
Uric Acid (µmol/L)
Glucose (mmol/L)
Glycohemoglobin (%)
Total Cholesterol (mmol/L)
High-Density Lipoprotein (mmol/L)
Triglycerides (mmol/L)
Low-Density Lipoprotein (mmol/L)
Log N-Terminal Pro-Brain Natriuretic Peptide (pg/mL)
Urine ACR (mg/g)
Smoking status / Cotinine
Co-morbidity index
Self-health index
Healthcare use index
Constant
I have now got into this in some more detail. The ending algorithm is about 80% dependent on chronological age. This an improvement on Morgan Levine’s phenoage which is about 85-87% dependent on chronological age.
Now I know how to calculate it I am going to try to get it up on the net (with defaults for missing values).
A writeup on the new Morgan Levine group’s bioclock:
Former Yale professor Morgan Levine, who is now with Altos Labs, is one of the foremost authorities on methylation clocks, and we have interviewed her on the subject. Her group invented the advanced PhenoAge clock [3] along with a method of reducing the variability of existing clocks via principal component analysis. In this new preprint paper, Morgan and her co-authors describe Systems Age, a clock that has been in the works for quite some time. This clock is aimed at discerning between different aging patterns.
The researchers describe several levels of heterogeneity in aging. The first and obvious one is the difference in whole-body aging between individuals: people who have the same chronological age differ in their biological age as measured by today’s methylation clocks. However, there are also more fundamental levels. Subcellular elements, cells, tissues, organs, and systems age differently, which creates distinctive aging subtypes. Systems Age works on these lower levels, capturing interpersonal differences in higher detail.
“Two individuals can have different DNA methylation profiles that produce the exact same epigenetic age as calculated by blood-based epigenetic clocks,” the researchers explain, “yet they may be physiologically deteriorating in entirely different systems.” Accounting for those differences can be immensely helpful for aging research as well as for personalized prevention, detection, and treatment.
Full Paper Below:
In a quick read I couldn’t tell if Levine created a path to identify areas for interventions based on the new model biological aging rate or age status vs. chron age. I hope so.
Sadly they have not yet published the formulae, but intend to following peer review. I will contact her at some stage and see whether I can get the formulae so they can be made publicly usable. She has been very helpful in the past.
