Details

Autor(en) / Beteiligte

• Madill‐Thomsen, Katelynn S.
• Abouljoud, Marwan
• Bhati, Chandra
• Ciszek, Michał
• Durlik, Magdalena
• Feng, Sandy
• Foroncewicz, Bartosz
• Francis, Iman
• Grąt, Michał
• Jurczyk, Krzysztof
• Klintmalm, Goran
• Krasnodębski, Maciej
• McCaughan, Geoff
• Miquel, Rosa
• Montano‐Loza, Aldo
• Moonka, Dilip
• Mucha, Krzysztof
• Myślak, Marek
• Pączek, Leszek
• Perkowska‐Ptasińska, Agnieszka
• Piecha, Grzegorz
• Reichman, Trevor
• Sanchez‐Fueyo, Alberto
• Tronina, Olga
• Wawrzynowicz‐Syczewska, Marta
• Więcek, Andrzej
• Zieniewicz, Krzysztof
• Halloran, Philip F.

Titel

The molecular phenotypes of injury, steatohepatitis, and fibrosis in liver transplant biopsies in the INTERLIVER study

Ist Teil von

• American journal of transplantation, 2022-03, Vol.22 (3), p.909-926

Ort / Verlag

United States: Wiley Subscription Services, Inc

Erscheinungsjahr

2022

Quelle

MEDLINE

Beschreibungen/Notizen

• To extend previous molecular analyses of rejection in liver transplant biopsies in the INTERLIVER study (ClinicalTrials.gov #NCT03193151), the present study aimed to define the gene expression selective for parenchymal injury, fibrosis, and steatohepatitis. We analyzed genome‐wide microarray measurements from 337 liver transplant biopsies from 13 centers. We examined expression of genes previously annotated as increased in injury and fibrosis using principal component analysis (PCA). PC1 reflected parenchymal injury and related inflammation in the early posttransplant period, slowly regressing over many months. PC2 separated early injury from late fibrosis. Positive PC3 identified a distinct mildly inflamed state correlating with histologic steatohepatitis. Injury PCs correlated with liver function and histologic abnormalities. A classifier trained on histologic steatohepatitis predicted histologic steatohepatitis with cross‐validated AUC = 0.83, and was associated with pathways reflecting metabolic abnormalities distinct from fibrosis. PC2 predicted histologic fibrosis (AUC = 0.80), as did a molecular fibrosis classifier (AUC = 0.74). The fibrosis classifier correlated with matrix remodeling pathways with minimal overlap with those selective for steatohepatitis, although some biopsies had both. Genome‐wide assessment of liver transplant biopsies can not only detect molecular changes induced by rejection but also those correlating with parenchymal injury, steatohepatitis, and fibrosis, offering potential insights into disease mechanisms for primary diseases. Genome‐wide microarray assessment of 337 liver transplant biopsies by the Molecular Microscope Diagnostic System (MMDx) can not only detect molecular rejection but also molecular changes in gene expression induced by parenchymal injury, steatohepatitis, and fibrosis, which may offer mechanistic insights and additional diagnostic precision into primary liver diseases.