Responder and nonresponder patients exhibit different peripheral transcriptional signatures during major depressive episode.

To date, it remains impossible to guarantee that short-term treatment given to a patient suffering from a major depressive episode (MDE) will improve long-term efficacy. Objective biological measurements and biomarkers that could help in predicting the clinical evolution of MDE are still warranted. To better understand the reason nearly half of MDE patients respond poorly to current antidepressive treatments, we examined the gene expression profile of peripheral blood samples collected from 16 severe MDE patients and 13 matched controls. Using a naturalistic and longitudinal design, we ascertained mRNA and microRNA (miRNA) expression at baseline, 2 and 8 weeks later. On a genome-wide scale, we detected transcripts with roles in various biological processes as significantly dysregulated between MDE patients and controls, notably those involved in nucleotide binding and chromatin assembly. We also established putative interactions between dysregulated mRNAs and miRNAs that may contribute to MDE physiopathology. We selected a set of mRNA candidates for quantitative reverse transcriptase PCR (RT-qPCR) to validate that the transcriptional signatures observed in responders is different from nonresponders. Furthermore, we identified a combination of four mRNAs (PPT1, TNF, IL1B and HIST1H1E) that could be predictive of treatment response. Altogether, these results highlight the importance of studies investigating the tight relationship between peripheral transcriptional changes and the dynamic clinical progression of MDE patients to provide biomarkers of MDE evolution and prognosis.

Development of a biochip-based assay integrated in a global strategy for identification of fusion transcripts in acute myeloid leukemia: a work flow for acute myeloid leukemia diagnosis.

Three major types of rearrangements are involved in acute myeloid leukemias (AML): t(8;21)(q22;q22), inv(16)(p13q22), and 11q23/MLL abnormalities. Their precise identification becomes essential for diagnosis, prognosis, and therapeutic choices. Resulting fusion transcripts (FT) are also powerful markers for monitoring the efficacy of treatment, the minimal residual disease (MRD) and could become therapeutic targets. Today, the challenge is to propose an individual follow-up for each patient even for those with a rare fusion event. In this study, we propose a biochip-based assay integrated in a global strategy for identification of rare FT in AML, after fluorescence in situ hybridization detection, as described by the World Health Organization classification. Using cell lines, we developed and validated a biochip-based assay called the AMLFusionChip that identifies every FT of AML1-ETO, CBFbeta-MYH11 as well as MLL-AF9, MLL-ENL, MLL-AF6, and MLL-AF10. The original design of our AMLFusionChip.v01 enables the identification of these FT wherever the breakpoint on the partner gene may be. In case of biochip negative result, our 3'RACE amplification strategy enables to clone and then sequence the new translocation partner. This AMLFusionChip strategy fits into the concept of personalized medicine for the largest number of patients.