Literature DB >> 33182046

Activated leukocyte cell adhesion molecule as a biomarker for disease severity and efficacy of sublingual immunotherapy in allergic rhinitis.

Shaobing Xie1, Hua Zhang1, Fengjun Wang1, Yongzhen Liu1, Kelei Gao1, Junyi Zhang1, Ruohao Fan1, Shumin Xie1, Zhihai Xie2, Weihong Jiang3.   

Abstract

BACKGROUND: Activated leukocyte cell adhesion molecule (ALCAM) plays an important role in T cell activation and immune response, but the role of ALCAM in allergic rhinitis (AR) remains unclear. The objective of the current study was to validate serum ALCAM as a biomarker in assessing disease severity and predicting the efficacy of sublingual immunotherapy (SLIT) in AR patients.
METHODS: We recruited 40 healthy controls (HC group), 38 mild AR patients (MAR group) and 80 moderate-severe AR patients (MSAR group) in this study. Serum levels of ALCAM were determined by ELISA, and the association between ALCAM levels and disease severity was evaluated. In the MSAR group, 68 patients underwent and finished 3-years of SLIT, and were divided into effective group and ineffective group, the relationship between ALCAM levels and efficacy of SLIT was exampled.
RESULTS: ALCAM levels were elevated in the serum of AR patients in comparison with HC. Moreover, serum ALCAM concentrations were higher in MSAR group than in MAR group and HC group, and levels of ALCAM significantly correlated with AR total nasal symptom score (TNSS) (r = 0.330, P < 0.001), visual analogue scale (VAS) (r = 0.387, P < 0.001) and serum total IgE levels (r = 0.442, P < 0.001). In the effective group, the ALCAM levels were significantly lower than in the ineffective group. Receiver operating characteristic (ROC) curve exhibited good accuracy for predicting clinical efficacy of SLIT (area under the curve = 0.805, P < 0.001).
CONCLUSIONS: The serum ALCAM maybe a novel biomarker for assessing disease severity and predicting clinical efficacy of SLIT in AR patients.
Copyright © 2020 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Activated leukocyte cell adhesion molecule; Allergic rhinitis; Biomarker; Sublingual immunotherapy

Mesh:

Substances:

Year:  2020        PMID: 33182046     DOI: 10.1016/j.intimp.2020.106975

Source DB:  PubMed          Journal:  Int Immunopharmacol        ISSN: 1567-5769            Impact factor:   4.932


  7 in total

1.  Identification of Robust Biomarkers for Early Predicting Efficacy of Subcutaneous Immunotherapy in Children With House Dust Mite-Induced Allergic Rhinitis by Multiple Cytokine Profiling.

Authors:  Shaobing Xie; Ruohao Fan; Qingping Tang; Xiao Cai; Hua Zhang; Fengjun Wang; Shumin Xie; Kelei Gao; Junyi Zhang; Zhihai Xie; Weihong Jiang
Journal:  Front Immunol       Date:  2022-01-12       Impact factor: 7.561

2.  Elevated ALCAM Expression Associated with Endotypes and Postoperative Recurrence in Chronic Rhinosinusitis with Nasal Polyps.

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Journal:  J Inflamm Res       Date:  2022-02-15

3.  Circulating C-X-C Motif Ligand 13 as a Biomarker for Early Predicting Efficacy of Subcutaneous Immunotherapy in Children With Chronic Allergic Rhinitis.

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5.  Febuxostat Alleviates Allergic Rhinitis by Inhibiting Inflammation and Monocyte Adhesion in Human Nasal Epithelial Cells via Regulating KLF6.

Authors:  Yuting Yao; Ran Wei; Hui Jiang
Journal:  Evid Based Complement Alternat Med       Date:  2022-09-08       Impact factor: 2.650

6.  Circulating MIF Associated With Disease Severity and Clinical Response of Sublingual Immunotherapy in House Dust Mite-Induced Allergic Rhinitis.

Authors:  Shaobing Xie; Hua Zhang; Fengjun Wang; Zhihai Xie; Weihong Jiang; Kelei Gao
Journal:  Front Pharmacol       Date:  2021-07-08       Impact factor: 5.810

7.  Serum Soluble ST2 Correlated with Symptom Severity and Clinical Response of Sublingual Immunotherapy for House Dust Mite-Induced Allergic Rhinitis Patients.

Authors:  Kang Zhu; Cui Xia; Jingguo Chen; Chao Yu; Tianxi Gao; Jing Yan; Na Shao; Pin Zhu; Bin Sun; Xiaoyong Ren; Yanni Zhang
Journal:  Mediators Inflamm       Date:  2021-05-30       Impact factor: 4.711

  7 in total

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