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Immune and molecular landscape behind non-response to Mycophenolate Mofetil and Azathioprine in lupus nephritis therapy.
López-Domínguez, Raúl; Villatoro-García, Juan Antonio; Marañón, Concepción; Goldman, Daniel; Petri, Michelle; Carmona-Sáez, Pedro; Alarcón-Riquelme, Marta; Toro-Dominguez, Daniel.
Afiliação
  • López-Domínguez R; GENYO. Centre for Genomics and Oncological Research: Pfizer, University of Granada, Andalusian Regional Government, PTS Granada.
  • Villatoro-García JA; GENYO. Centre for Genomics and Oncological Research: Pfizer, University of Granada, Andalusian Regional Government, PTS Granada.
  • Marañón C; Department of Medical Genomics, Center for Genomics and Oncological Research (GENYO).
  • Goldman D; Johns Hopkins University.
  • Petri M; Johns Hopkins University.
  • Carmona-Sáez P; Department of Bioinformatics, Center for Genomics and Oncological Research (GENYO).
  • Alarcón-Riquelme M; Department of Medical Genomics, Center for Genomics and Oncological Research (GENYO).
  • Toro-Dominguez D; GENYO. Centre for Genomics and Oncological Research: Pfizer, University of Granada, Andalusian Regional Government, PTS Granada.
Res Sq ; 2024 Jan 12.
Article em En | MEDLINE | ID: mdl-38260685
ABSTRACT
Lupus nephritis (LN) represents one of the most severe complications of systemic lupus erythematosus, leading to end-stage kidney disease in worst cases. Current first-line therapies for LN, including mycophenolate mofetil (MMF) and azathioprine (AZA), fail to induce long-term remission in 60-70% of the patients, evidencing the urgent need to delve into the molecular knowledge-gap behind the non-response to these therapies. A longitudinal cohort of treated LN patients including clinical, cellular and transcriptomic data, was analyzed. Gene-expression signatures behind non-response to different drugs were revealed by differential expression analysis. Drug-specific non-response mechanisms and cell proportion differences were identified. Blood cell subsets mediating non-response were described using single-cell RNASeq data. We show that AZA and MMF non-response implicates different cells and regulatory functions. Mechanistic models were used to suggest add-on therapies to improve their current performance. Our results provide new insights into the molecular mechanisms associated with treatment failures in LN.

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Res Sq Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Res Sq Ano de publicação: 2024 Tipo de documento: Article