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Updated: Dec 10, 2025
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A Precision Medicine Tool for Measurement and Monitoring of Hemoglobin S in Sickle Cell Disease Patients Receiving Transfusion Therapy
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Innovative screening test for the early detection of sickle cell anemia
Roberta Risoluti1, Patrizia Caprari2, Giuseppina Gullifa1
1Department of Chemistry, Sapienza - University of Rome, Rome, Italy.
Talanta
|September 5, 2020
Summary
Thermogravimetry combined with statistical analysis offers a novel, rapid screening method for Sickle Cell Anemia (SCA). This technique accurately differentiates SCA patients from healthy individuals, enabling early diagnosis and improved patient outcomes.
Area of Science:
- Biochemistry
- Medical Diagnostics
- Analytical Chemistry
Background:
- Sickle Cell Anemia (SCA) is a severe hereditary blood disorder caused by a mutation leading to abnormal hemoglobin (HbS).
- Current diagnosis often occurs late, after severe complications arise, highlighting the need for early and rapid screening methods.
- Sickled red blood cells obstruct blood flow, causing painful episodes and significant health issues.
Purpose of the Study:
- To investigate the efficacy of thermogravimetry (TG) coupled with multivariate statistical analysis for screening Sickle Cell Anemia (SCA).
- To develop a novel, rapid diagnostic test for SCA using whole blood samples without pretreatment.
- To establish a predictive model for identifying SCA and other congenital hematological disorders.
Main Methods:
- Analysis of whole blood samples using a TG7 thermobalance (PerkinElmer).
- Comparison of TG and derivative TG (DTG) curves between SCA patients and healthy individuals.
- Application of chemometric multivariate statistical analysis for data interpretation and model development.
Main Results:
- Significant differences in thermal behavior were observed between SCA patients and healthy individuals, attributed to variations in water content and corpuscular fraction.
- The multivariate statistical analysis successfully identified distinct patterns in blood samples from different populations.
- The developed predictive model achieved 100% sensitivity and accuracy with a 0.1% prediction error for SCA detection.
Conclusions:
- Thermogravimetry and multivariate statistical analysis provide a highly accurate and rapid method for screening Sickle Cell Anemia.
- This novel approach facilitates early diagnosis, crucial for preventing severe complications associated with SCA.
- The method shows promise for screening a range of congenital hematological disorders.
