Research Summary

Can a New Blood-Based Method (BBAC) Improve Biological Age Calculation?

Summary ID01-BA-RS-00019

Research Summary

Original Publication

Blood Biochemistry Age Clock - An Interpretable Estimate of Biological Age and Predictor of All-Cause Mortality Derived From Routinely Ordered Blood Biomarkers

Journal

Mechanisms of Ageing and Development, .

Category
01Biological Age
Evidence
Other
Summary Type
Latest

What Was Studied?

The Blood Biochemistry Age Clock (BBAC) is a newly developed method for estimating biological age from 11 routinely measured blood biomarkers.

The BBAC uses total cholesterol, HDL cholesterol, triglycerides, glycated hemoglobin (HbA1c), high-sensitivity C-reactive protein (hsCRP), albumin, red cell distribution width (RDW), white blood cell count, haematocrit, alkaline phosphatase (ALP) and blood urea nitrogen (BUN).

BBAC was designed to combine three characteristics relevant to clinical translation: routine laboratory measurements, scalability and an interpretable biological-age estimate.

A distinctive feature of BBAC is how the biological-age estimate is constructed. Individual biomarker values are mapped to their all-cause mortality risk profiles, with their contributions translated into years added to or subtracted from the final estimate.

The method was evaluated in the UK Biobank and compared with PhenoAge, an established clinical biological-age measure. Researchers examined its associations with all-cause mortality and the incidence of eight common chronic diseases.

The BBAC calculation was subsequently optimized. Mortality prediction was also evaluated in NHANES, where additional biological-age clocks, including PCAge and LinAge, were included for comparison.

Key Findings

01

BBAC was a significant predictor of all-cause mortality and chronic disease incidence.

02

In the initial UK Biobank analysis, BBAC performed better than PhenoAge for predicting all-cause mortality when each biological-age measure was evaluated individually. BBAC also performed better in the univariable analyses of chronic disease incidence.

03

This advantage was not consistent after multivariable adjustment. In the initial multivariable mortality analysis, PhenoAge performed better than BBAC.

04

After optimization, BBAC performed better than PhenoAge for all-cause mortality prediction in both univariable and multivariable analyses. In the multivariable comparison, however, the difference was small.

05

For multivariable chronic disease incidence prediction, results were mixed, and BBAC did not consistently outperform PhenoAge.

06

In NHANES, BBAC and PhenoAge showed similar mortality-prediction performance, while PCAge and LinAge performed better than either method.

07

Overall, the study demonstrated promising predictive performance for BBAC but did not establish consistent superiority over existing biological-age methods across statistical models, outcomes and populations.

Why It Matters for Longevity

Biological age becomes more clinically meaningful when the result can be connected to measurable aspects of an individual's physiology.

This is a central feature of BBAC. The method is based on biomarkers familiar from routine clinical practice, while its design allows their individual contributions to the biological-age estimate to remain visible.

Rather than producing only a final biological-age number, BBAC can indicate which biomarker values contributed years to or subtracted years from the estimate. This approach may make biological-age results more transparent and easier to interpret in the context of an individual's health profile.

It may also help bridge an important gap between biological-age research and clinical practice. Complex molecular aging clocks can provide valuable biological information, but specialized testing, cost and limited explainability can restrict their broader clinical application. BBAC explores whether routinely available laboratory measurements can provide a more accessible and interpretable alternative.

Greater interpretability, however, does not by itself establish greater clinical validity. Predictive performance, reproducibility and validation across different populations remain essential.

Clinical Perspective

From a clinical perspective, BBAC addresses an important limitation of many biological-age models: a result may be predictive without being readily explainable at the level of the individual patient.

By retaining the contribution of individual routine biomarkers, BBAC offers a potentially more transparent link between the final biological-age estimate and the physiological measurements from which it is derived.

This distinction is relevant to precision prevention. A biological-age estimate may become more informative when it can be considered alongside the individual measurements contributing to it, rather than interpreted as an isolated number.

Greater explainability, however, should not be mistaken for greater validity. BBAC outperformed PhenoAge in some analyses, but this advantage was not consistent across statistical models, outcomes or populations.

In NHANES, BBAC and PhenoAge performed similarly, while other biological-age measures showed stronger mortality prediction. The findings therefore do not support replacing established biological-age methods with BBAC on the basis of this study alone.

BBAC is also newly published. Independent replication and evaluation in additional populations will be important before its broader clinical value can be established.

For the development of clinically meaningful Biological Age Calculators, BBAC introduces an important principle: performance should be considered alongside transparency. A useful biological-age estimate should not only be associated with meaningful health outcomes, but should also allow clinicians and patients to understand what contributed to the result.

Key Takeaway

BBAC offers an interpretable approach to biological age calculation using 11 routine blood biomarkers. Its predictive performance is promising, but superiority over established methods has not yet been demonstrated consistently. Independent validation will be essential before its broader clinical value can be established.

Reviewed and Summarized by

Monika Mikulicz-Pasler, MD, PhD

Monika Mikulicz-Pasler, MD, PhD

Specialist in Cardiology

Specialist in Internal Medicine

KCM Longevity Clinic

Source Publication

Title:
Blood Biochemistry Age Clock - An Interpretable Estimate of Biological Age and Predictor of All-Cause Mortality Derived From Routinely Ordered Blood Biomarkers
Authors:
Julij Šelb, Leon Deutsch, Matej Červek, Metta Bernou Pratt, Leon Bedrač, Domen Mohorčič, Natalija Sebanc, Urška Ašič, Sanja Terzič, Enej Kuščer, Andrea Britta Maier, Filip Cvetko
Journal:
Mechanisms of Ageing and Development, July 2026; 233:112230.
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