Data-independent acquisition mass spectrometry in severe rheumatic heart disease (RHD) identifies a proteomic signature showing ongoing inflammation and effectively classifying RHD cases
| dc.contributor.author | M Taariq Salie, Jing Yang, Carlos R Ramírez Medina, Liesl J Zühlke, Chishala Chishala, Mpiko Ntsekhe, Bernard Gitura, Stephen Ogendo, Emmy Okello, Peter Lwabi, John Musuku, Agnes Mtaja, Christopher Hugo-Hamman, Ahmed El-Sayed, Albertino Damasceno, Ana Mocumbi, Fidelia Bode-Thomas, Christopher Yilgwan, Ganiyu A Amusa, Esin Nkereuwem, Gasnat Shaboodien, Rachael Da Silva, Dave Chi Hoo Lee, Simon Frain, Nophar Geifman, Anthony D Whetton, Bernard Keavney, Mark E Engel | |
| dc.date.accessioned | 2022-04-21T12:16:45Z | |
| dc.date.available | 2022-04-21T12:16:45Z | |
| dc.date.issued | 2022 | |
| dc.identifier.uri | https://repository.maseno.ac.ke/handle/123456789/5171 | |
| dc.description | https://doi.org/10.1186/s12014-022-09345-1 | en_US |
| dc.description.abstract | Rheumatic heart disease (RHD) remains a major source of morbidity and mortality in developing countries. A deeper insight into the pathogenetic mechanisms underlying RHD could provide opportunities for drug repurposing, guide recommendations for secondary penicillin prophylaxis, and/or inform development of near-patient diagnostics. | en_US |
| dc.publisher | BioMed Central | en_US |
| dc.subject | Rheumatic heart disease, Biomarker, Infammatory response, Adiponectin, Complement component C7, Fibulin-1 | en_US |
| dc.title | Data-independent acquisition mass spectrometry in severe rheumatic heart disease (RHD) identifies a proteomic signature showing ongoing inflammation and effectively classifying RHD cases | en_US |
| dc.type | Article | en_US |