Indian Journal of Transplantation (Jun 2024)

Plasma Cell Infiltrate in Liver Allograft Biopsy: Clinical and Histological Implications

  • Neha Agrawal,
  • Archana Rastogi,
  • Chhagan Bihari,
  • Ashok Choudhury,
  • Viniyendra Pamecha

DOI
https://doi.org/10.4103/ijot.ijot_107_23
Journal volume & issue
Vol. 18, no. 2
pp. 144 – 150

Abstract

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Introduction: The relevance of plasma cells in the allograft liver is of utmost importance and objective assessment of these infiltrates and correlation with other ancillary findings needs to be evaluated. Materials and Methods: Three hundred and sixty-eight graft liver biopsies received in the department from 2012 to 2022 and 115 allograft liver biopsies with histopathological diagnosis of rejection were selected. Based on plasma cells percentage in the portal tracts, the biopsies were divided into three groups: Group 1 showing not more than an occasional plasma cell, Group 2 showing 10% plasma cells. Rejection activity index (RAI), portal/lobular inflammation, interface activity, subendothelial inflammation (portal and central vein), duct damage/loss, presence of cholestasis, apoptosis, perivenulitis, necrosis, rosette along with serial liver function tests (LFTs), and patient status at 1 year of follow-up were recorded and compared between the groups. Results: Plasma cell infiltrates were observed in 52.6% of the specimens, with the mean percentage of plasma cells in the infiltrates being 4.9. Increased plasma cell infiltrates were associated with higher RAI scores, marked duct damage, marked portal and central vein endotheliitis, marked portal inflammation, and presence of interface activity. Higher levels of transaminitis were recorded at the time of biopsy, but no significant association was observed in the fall of serial LFTs over a 2-week period with the presence of plasma cells. Conclusion: Identifying plasma cell infiltrates in liver allografts can serve as a clue toward increased severity of rejection in liver allograft biopsies. Further studies with emphasis on correlation with the clinical outcome and response to treatment are needed to validate its utility as an objective tool.

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