RESUMEN
The discovery of cytokines and their role in immune and inflammatory disease led to the development of a plethora of targeted biologic therapies. Later, efforts to understand mechanisms of cytokine signal transduction led to the discovery of JAKs, which themselves were quickly identified as therapeutic targets. It has been a decade since the first JAK inhibitors (jakinibs) were approved, and there are now 9 jakinibs approved for the treatment of rheumatic, dermatologic, hematologic, and gastrointestinal indications, along with emergency authorization for COVID-19. In this review, we will summarize relevant discoveries that led to first-generation jakinibs and review their efficacy and safety as demonstrated in pivotal clinical studies. We will discuss the next generation of more selective jakinibs, along with agents that target kinase families beyond JAKs. Finally, we will reflect on both the opportunities and challenges ahead as we enter the second decade of the clinical use of jakinibs.
Asunto(s)
Inhibidores de las Cinasas Janus/uso terapéutico , Predicción , Humanos , Factores de Tiempo , Resultado del Tratamiento , Tratamiento Farmacológico de COVID-19RESUMEN
Fluorescent cell barcoding (FCB) is a multiplexing technique for high-throughput flow cytometry (FCM). Although powerful in minimizing staining variability, it remains a subjective FCM technique because of inter-operator variability and differences in data analysis. FCB was implemented by combining two-dye barcoding (DyLight 350 plus Pacific Orange) with five-color surface marker antibody and intracellular staining for phosphoprotein signaling analysis. We proposed a robust method to measure intra- and inter-assay variability of FCB in T/B cells and monocytes by combining range and ratio of variability to standard statistical analyses. Data analysis was carried out by conventional and semi-automated workflows and built with R software. Results obtained from both analyses were compared to assess feasibility and reproducibility of FCB data analysis by machine-learning methods. Our results showed efficient FCB using DyLight 350 and Pacific Orange at concentrations of 0, 15 or 30, and 250⯵g/mL, and a high reproducibility of FCB in combination with surface marker and intracellular antibodies. Inter-operator variability was minimized by adding an internal control bridged across matrices used as rejection criterion if significant differences were present between runs. Computational workflows showed comparable results to conventional gating strategies. FCB can be used to study phosphoprotein signaling in T/B cells and monocytes with high reproducibility across operators, and the addition of bridge internal controls can further minimize inter-operator variability. This FCB protocol, which has high throughput analysis and low intra- and inter-assay variability, can be a powerful tool for clinical trial studies. Moreover, FCB data can be reliably analyzed using computational software.
Asunto(s)
Citometría de Flujo/métodos , Ensayos Analíticos de Alto Rendimiento/métodos , Inmunofenotipificación/métodos , Factores de Transcripción STAT/metabolismo , Transducción de Señal/inmunología , Linfocitos B/metabolismo , Ensayos Clínicos como Asunto , Biología Computacional/métodos , Estudios de Factibilidad , Colorantes Fluorescentes/química , Voluntarios Sanos , Ensayos Analíticos de Alto Rendimiento/instrumentación , Humanos , Monocitos/metabolismo , Fosfoproteínas/metabolismo , Reproducibilidad de los Resultados , Programas Informáticos , Coloración y Etiquetado/métodos , Linfocitos T/metabolismoRESUMEN
Janus kinase (JAK) inhibitors are widely used in the treatment of multiple autoimmune and inflammatory diseases. Immunologic and transcriptomic profiling have revealed major alterations on natural killer (NK) cell homeostasis associated with JAK inhibitions, while information on other innate lymphoid cells (ILCs) is still lacking. Herein, we observed that, in mice, the homeostatic pool of liver ILC1 was less affected by JAK inhibitors compared to the pool of NK cells present in the liver, spleen and bone marrow. JAK inhibition had overlapping effects on the transcriptome of both subsets, mainly affecting genes regulating cell cycle and apoptosis. However, the differential impact of JAK inhibition was linked to the high levels of the antiapoptotic gene Bcl2 expressed by ILC1. Our findings provide mechanistic explanations for the effects of JAK inhibitors on NK cells and ILC1 which could be of major clinically relevance.