Cross-species transcriptome analysis for early detection and specific therapeutic targeting of human lupus nephritis.
Eleni FrangouPanagiotis GarantziotisMaria GrigoriouAggelos BanosDionysis S NikolopoulosAntigone PietaStavros A DoumasAntonis FanouriakisAikaterini HatzioannouTheodora ManolakouThemis AlissafiPanayotis VerginisEmmanouil AthanasiadisEmmanouil DermitzakisGeorge BertsiasAnastasia FiliaDimitrios T BoumpasPublished in: Annals of the rheumatic diseases (2022)
Machine-learning analysis of a large whole blood RNA-sequencing dataset of SLE patients using human orthologs of mouse kidney-specific genes can be used for early, non-invasive diagnosis and therapeutic targeting of LN. The kidney-specific gene predictors may facilitate prevention and early intervention trials.
Keyphrases
- endothelial cells
- machine learning
- end stage renal disease
- randomized controlled trial
- newly diagnosed
- genome wide
- induced pluripotent stem cells
- systemic lupus erythematosus
- ejection fraction
- pluripotent stem cells
- cancer therapy
- peritoneal dialysis
- prognostic factors
- single cell
- gene expression
- copy number
- artificial intelligence
- rheumatoid arthritis
- genome wide identification