Frontiers in Immunology (Aug 2024)

Lymphocyte subsets for predicting inflammatory bowel disease progression and treatment response: a systematic review

  • Rirong Chen,
  • Chao Li,
  • Chao Li,
  • Jieqi Zheng,
  • Jieqi Zheng,
  • Zinan Fan,
  • Li Li,
  • Minhu Chen,
  • Baili Chen,
  • Shenghong Zhang,
  • Shenghong Zhang

DOI
https://doi.org/10.3389/fimmu.2024.1403420
Journal volume & issue
Vol. 15

Abstract

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BackgroundLymphocytes play a key role in the pathogenesis of inflammatory bowel disease (IBD) and are widely explored as promising prognostic indicators. We aimed to outline the existing evidences on the capability of lymphocyte subpopulations to predict disease progression and treatment response in patients with IBD.MethodsThe protocol for this review was registered in PROSPERO (registration ID: CRD 42022364126). Systematic retrieval was conducted using PubMed, Embase, and Web of Science databases. Original articles on the prognostic value of lymphocyte subsets in IBD published up to April 8, 2023 were eligible for inclusion. The Newcastle–Ottawa Scale was used to evaluate the risk of bias.ResultsTwenty studies were ultimately included: eight evaluated the prediction of disease progression and 12 focused on the prediction of treatment response. According to the Newcastle–Ottawa Scale, three studies were of high quality, 16 were of moderate quality, and only one was of low quality. T-cell subpopulations, including CD4+ T cells, CD8+ T cells, and γδ T cells, are revealed to have prognostic capacity. Transmembrane tumor necrosis factor α-bearing lymphocytes, CD4+ T cells, CD8+ T cells, and Plasma cells are found to have the potential to predict the response to anti-TNFα agents. In contrast memory T cells, CD4+ T cells, and naïve B cells may predict the response to vedolizumab.ConclusionsThis systematic review identified several potential lymphocyte subset-related predictors. If verified in large cohort prospective studies, these findings could aid clinical decision-making.Systematic Review Registrationhttps://www.crd.york.ac.uk/PROSPERO/, identifier CRD42022364126.

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