Identifying Cardiac Autoantibody Biomarkers that Predict the Severity of Chagas Cardiomyopathy
Heriks Ribeiro, Anton Dmitriev, Antonia Pereira Rosa Neta, Meena Fatah, Diptendu Chatterjee, Lea Campos de Oliveira, Fabiano Castro Albrecht, Hui Tzu Lin Wang, Juliana de Assis S. Gomes, Olgierd Woźniak, Karolina Borowiec, Elżbieta Katarzyna Biernacka, Antonia Claudia Jácome da Câmara, Luciana Sacil · 2026
Read Identifying Cardiac Autoantibody Biomarkers that Predict the Severity of Chagas Cardiomyopathy by Heriks Ribeiro, Anton Dmitriev, Antonia Pereira Rosa Neta, Meena Fatah, Diptendu Chatterjee, Lea Campos de Oliveira, Fabiano Castro Albrecht, Hui Tzu Lin Wang, Juliana de Assis S. Gomes, Olgierd Woźniak, Karolina Borowiec, Elżbieta Katarzyna Biernacka, Antonia Claudia Jácome da Câmara, Luciana Sacil (2026) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-13677190.txt.
Description
Heriks Ribeiro and co-authors hunt for self-antibody markers that forecast severity in Chagas heart disease, in work from twenty twenty-six. Chagas cardiomyopathy strikes up to a third of chronic Chagas patients. Reliable markers for severity and rhythm flaws are lacking today. Gel separation plus mass spectrometry profiles heart self-antibodies broadly. Enzyme assays validate the hits, and machine learning grades them.
Six self-antibodies tied to energy use and muscle structure stand out. Together they separate disease stages with strong accuracy scores. Mean classification accuracy also runs high in the validation runs. A blood antibody panel could thus stratify risk cheaply in clinics. Prognosis chats with patients could rest on firmer ground as well. Prospective validation must come before any clinical rollout, though.
Catalog record
| CREATOR | Heriks Ribeiro, Anton Dmitriev, Antonia Pereira Rosa Neta, Meena Fatah, Diptendu Chatterjee, Lea Campos de Oliveira, Fabiano Castro Albrecht, Hui Tzu Lin Wang, Juliana de Assis S. Gomes, Olgierd Woźniak, Karolina Borowiec, Elżbieta Katarzyna Biernacka, Antonia Claudia Jácome da Câmara, Luciana Sacil |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 63 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |