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Diagnostics for cancer and cardiovascular diseases based on diet-derived sugars

Periodic Reporting for period 1 - SugarBiomarker (Diagnostics for cancer and cardiovascular diseases based on diet-derived sugars)

Période du rapport: 2024-02-01 au 2025-07-31

Noncommunicable diseases have become an epidemic that poses devastating health consequences for individuals, families and communities globaly. Cardiovascular disease (CVD), cancer, chronic respiratory disease and diabetes are the leading causes of death affecting ~33.3 million people annually, ~80% due to CVD and cancer (54% and 28%, respectively; 2019). As such, prevention and control of these diseases is currently a major public health priority. In addition to preventive measures, early detection could dramatically improve disease outcomes, particularly in cancer, where precise diagnosis and staging of the disease are critical for successful treatment. However, current biomarkers have only limited success, largely due to low sensitivity and specificity. Diet can dramatically affect health, and different dietary habits have been associated with various human diseases such as cancer, cardiovascular diseases (CVD), type II diabetes, obesity, and hypertension. In particular, high consumption of red meat has been frequently suggested as a risk factor for human cancers and CVD. We aimed to develop biomarkers for cancer and CVD based on signatures of antibodies against glycans screened over nano-printed arrays, followed by deep-learning analysis. Such unique signatures of antibodies could be used to identify the disease at an early stage, and allow personalized dietary recommendations or a better therapeutic window. These novel sugar-based disease diagnostics could dramatically improve prognosis of cancer and CVD.
Diet rich in red meat and/or dairy correlate with higher levels of certain circulating anti-glycan antibodies that could potentially also associate with cancer and/or CVD conditions. We investigated human sera of individuals with known dietary habits and disease condition by high-throughput glycan microarrays to identify signature anti-glycan antibodies in cancer and CVD as diagnostic markers.
We initiated validation studies of serum anti-glycan antibodies signatures as disease risk biomarkers and diagnostics using multiple samples from cancer and CVD patients and healthy individuals, as well as explored their translation and potential appeal for industry.
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