Blood Tests May Flag Disease Risk Before Symptoms

A study of 23,776 people in the UK Biobank examined whether detailed blood analysis could identify future risk across 17 chronic diseases. Researchers measured 2,923 proteins and 159 metabolites, then compared those signals with familiar health measures such as age, BMI, blood pressure, and cholesterol.

Protein-based models were more accurate than models using metabolic markers alone for 16 of the 17 diseases. The conditions included cardiovascular disease, metabolic disorders, and cancers. Some findings matched established signals, including KLK3—also called PSA—in prostate cancer risk. The analysis also highlighted PRG3 as a possible skin cancer marker for future research. In many cases, the blood patterns appeared years before a clinical diagnosis.

The findings suggest that deeper blood profiling could eventually add an earlier layer of disease-risk detection, alongside routine bloodwork, physicals, cancer screenings, and discussions about family history. The tests are still emerging and not broadly available, and identifying risk does not itself prevent illness. Still, the biology they measure is connected to processes influenced by everyday habits, making preventive care and staying active part of the broader picture as personalized screening develops.