Proteomes

Blood protein score linked to disease and death in adults

The 50-protein score tracked a conventional measure of cumulative physiological strain, with a correlation of 0.72 in participants withheld from model development.

Paper by Yufan Guan, Jie Shen, Li Li, 7 more authorsHua Zhao · University of Virginia
Figure 1. Development, validation, and application of ProAL50.
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Figure 1. Development, validation, and application of ProAL50.Development, validation, and application of ProAL50.Guan et al.
Cohort study of 37,089 UK Biobank adults, approximately 11.8 yearsBiomarkers

Independent replication

Limit: Diabetes and kidney disease associations may partly reflect hemoglobin A1c and creatinine in score training

Edited by Boris Djordjevic · AgingResearch.News

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An observational cohort study used UK Biobank data from adults enrolled at ages 40–69 to develop a blood protein score and examine its associations in 37,089 participants. The score, ProAL50, used 50 proteins to estimate allostatic load, the cumulative strain on body systems associated with chronic stress. Researchers trained it against a conventional score based on clinical measurements and tested it in a separate subset.

The protein score correlated with conventional allostatic load at 0.72 in the UK Biobank test group and 0.62 in an independent US cohort. Over approximately 11.8 years in UK Biobank, higher scores were associated with several chronic diseases, including type 2 diabetes, chronic liver disease and cancer, and with death. These associations were broadly comparable to those of conventional allostatic load.

Why it matters

Cumulative physiological strain provides a way to study links between chronic stress and age-related disease. The authors propose the protein score as a research tool that complements conventional measures.

Caveats

This observational analysis cannot establish cause and effect, and its primary sample excluded people with disease at baseline. External validation assessed agreement with conventional allostatic load, not disease prediction; further validation and standardized protein testing are needed.

From the paper

Participants

A total of 40,874 participants were included in the final score construction.

Methods, 2.2. AL Calculation

Follow-up

… with 2405 subsequent events and a median post-landmark follow-up of 9.81 years (IQR 9.14–10.52); ProAL50 remained associated with incident disease in Model 1 (HR = 2.74, 95% CI 2.62–2.86) and in the mutually adjusted model (HR = 2.26, 95% CI 2.14–2.40), with an incremental ΔC beyond AL of 0.025.

Results, 3.4. ProAL50 Predicts Risk of Common Chronic Diseases

Result

Compared with participants reporting a slow walking pace, those reporting a brisk pace exhibited substantially lower AL (β = −0.52, 95% CI −0.56 to −0.49) and ProAL50 (β = −0.54, 95% CI −0.57 to −0.50).

Results, 3.3. General and Mental Health Associated with ProAL50

Limitation

First, ProAL50 is a supervised signature anchored to traditional AL, so it inherits limitations of the AL construct itself, including a dichotomization-based training target and the use of standard rather than ancestry-specific thresholds; reassuringly …

4. Discussion

Quoted word for word from the full text on PubMed Central.