Pre-therapy liver transcriptome landscape in Indian and French patients with severe alcoholic hepatitis and steroid responsiveness.
Shvetank SharmaJaswinder S MarasSukanta DasShabir HussainAshwani K MishraSaggere M ShasthryChhagan B SharmaEmmanuel WeissLaure ElkriefPierre-Emmanuel RautouHélène GilgenkrantzSophie LotersztajnValérie ParadisPierre de la GrangeChristophe JunotRichard MoreauShiv K SarinPublished in: Scientific reports (2017)
Patients with severe alcoholic hepatitis (SAH) not responding to glucocorticoid therapy have higher mortality, though they do not differ in their baseline clinical characteristics and prognostic scores from those who respond to therapy. We hypothesized that the baseline hepatic gene expression differs between responders (R) and non-responders (NR). Baseline liver transcriptome was compared between R and NR in Indian (16 each) and French (5 NR, 3 R) patients with SAH. There were differentially expressed genes (DEGs) between NR and R, in Indian (1106 over-expressed, 96 under-expressed genes) and French patients (65 over-expressed, 142 under-expressed genes). Indian NR had features of hepatocyte senescence and French NR exhibited under-expression of genes involved in cell division, indicating a central defect in the capacity of hepatocytes for self-renewal in both populations. Markers of hepatic progenitor cell proliferation were either very few (Indian patients) or absent (French patients). No DEGs were enriched in inflammatory pathways and there were no differences in nuclear receptor subfamily 3 group C member 1 (NR3C1) transcript expression and splicing between NR and R. Our results reveal that baseline hepatic transcriptome is reflective of subsequent glucocorticoid non-response and indicate impaired regenerative potential of the liver as an underlying phenomenon in NR.
Keyphrases
- gene expression
- end stage renal disease
- genome wide
- chronic kidney disease
- ejection fraction
- newly diagnosed
- single cell
- rna seq
- prognostic factors
- peritoneal dialysis
- poor prognosis
- stem cells
- cardiovascular disease
- patient reported outcomes
- type diabetes
- signaling pathway
- cell therapy
- climate change
- risk factors
- dna damage
- transcription factor
- endothelial cells
- long non coding rna
- stress induced
- genetic diversity
- bioinformatics analysis
- chemotherapy induced
- soft tissue