Predicting the clinical efficacy of JAK inhibitor treatment for patients with rheumatoid arthritis based on Fas+ T cell subsets

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Predicting the clinical efficacy of JAK inhibitor treatment for patients with rheumatoid arthritis based on Fas+ T cell subsets. / Lui, Shan Wen; Hsieh, Ting Yu; Lu, Jeng Wei; Chen, Yen Chen; Lin, Ting Chun; Ho, Yi Jung; Liu, Feng Cheng.

In: APMIS, Vol. 131, No. 9, 2023, p. 498-509.

Research output: Contribution to journalJournal articleResearchpeer-review

Harvard

Lui, SW, Hsieh, TY, Lu, JW, Chen, YC, Lin, TC, Ho, YJ & Liu, FC 2023, 'Predicting the clinical efficacy of JAK inhibitor treatment for patients with rheumatoid arthritis based on Fas+ T cell subsets', APMIS, vol. 131, no. 9, pp. 498-509. https://doi.org/10.1111/apm.13341

APA

Lui, S. W., Hsieh, T. Y., Lu, J. W., Chen, Y. C., Lin, T. C., Ho, Y. J., & Liu, F. C. (2023). Predicting the clinical efficacy of JAK inhibitor treatment for patients with rheumatoid arthritis based on Fas+ T cell subsets. APMIS, 131(9), 498-509. https://doi.org/10.1111/apm.13341

Vancouver

Lui SW, Hsieh TY, Lu JW, Chen YC, Lin TC, Ho YJ et al. Predicting the clinical efficacy of JAK inhibitor treatment for patients with rheumatoid arthritis based on Fas+ T cell subsets. APMIS. 2023;131(9):498-509. https://doi.org/10.1111/apm.13341

Author

Lui, Shan Wen ; Hsieh, Ting Yu ; Lu, Jeng Wei ; Chen, Yen Chen ; Lin, Ting Chun ; Ho, Yi Jung ; Liu, Feng Cheng. / Predicting the clinical efficacy of JAK inhibitor treatment for patients with rheumatoid arthritis based on Fas+ T cell subsets. In: APMIS. 2023 ; Vol. 131, No. 9. pp. 498-509.

Bibtex

@article{8e3b84771add46798b0b2d581685739e,
title = "Predicting the clinical efficacy of JAK inhibitor treatment for patients with rheumatoid arthritis based on Fas+ T cell subsets",
abstract = "Rheumatoid arthritis (RA) is a common autoimmune disease. Janus kinase inhibitors (JAKi) have been approved for the treatment of RA; however, the impact of JAKi on immune cells remains inconclusive. This study investigated the response of immune cells to JAKi treatment to identify biomarkers by which to evaluate and predict clinical outcomes. Blood samples were collected from RA patients before and after JAKi treatment for the analysis of immunophenotypes. Our results revealed that JAKi mainly inhibited Fas+ T cell subsets. The percentage changes of Th Fas+ and Naive Th Fas+ cells were positively correlated with the 28-joint Disease Activity Score with erythrocyte sedimentation rate (DAS28-ESR) values. Following treatment, moderate response (MR) RA patients presented a decrease in the number of Naive Th Fas+ cells (p = 0.0001). Initial percentages of 14 T cell and 20 B cell subsets were correlated with percentage changes in DAS28-ESR. Overall, 16 cell subsets presented significant differences between the non-response (NR) and MR groups. Excluding the multicollinearity of the immune cells, we constructed a JAKi treatment response prediction index (JRPI) using 5 subsets of T/B cells, the results of which were strongly correlated with percentage changes in DAS28-ESR (receiver operating characteristic curve of 1). Note that the NR group was clearly distinguished from the MR group (p = 0.0167). In conclusion, the efficacy of JAKi can be attributed mainly to the suppression of Fas+ T cell subsets. A positive correlation was shown between the therapeutic efficacy of JAKi and the percentage changes in both Th Fas+ cells and Naive Th Fas+ cells. Furthermore, the proposed JRPI could potentially be used as an indicator to predict the efficacy of JAKi prior to treatment in RA patients. These findings may contribute to the development of personalized treatment strategies for RA patients using JAKi.",
keywords = "Fas+, immunophenotyping, JAK inhibitor, prediction index, rheumatoid arthritis, therapeutic efficacy",
author = "Lui, {Shan Wen} and Hsieh, {Ting Yu} and Lu, {Jeng Wei} and Chen, {Yen Chen} and Lin, {Ting Chun} and Ho, {Yi Jung} and Liu, {Feng Cheng}",
note = "Publisher Copyright: {\textcopyright} 2023 Scandinavian Societies for Pathology, Medical Microbiology and Immunology.",
year = "2023",
doi = "10.1111/apm.13341",
language = "English",
volume = "131",
pages = "498--509",
journal = "A P M I S. Acta Pathologica, Microbiologica et Immunologica Scandinavica",
issn = "0903-4641",
publisher = "Wiley Online",
number = "9",

}

RIS

TY - JOUR

T1 - Predicting the clinical efficacy of JAK inhibitor treatment for patients with rheumatoid arthritis based on Fas+ T cell subsets

AU - Lui, Shan Wen

AU - Hsieh, Ting Yu

AU - Lu, Jeng Wei

AU - Chen, Yen Chen

AU - Lin, Ting Chun

AU - Ho, Yi Jung

AU - Liu, Feng Cheng

N1 - Publisher Copyright: © 2023 Scandinavian Societies for Pathology, Medical Microbiology and Immunology.

PY - 2023

Y1 - 2023

N2 - Rheumatoid arthritis (RA) is a common autoimmune disease. Janus kinase inhibitors (JAKi) have been approved for the treatment of RA; however, the impact of JAKi on immune cells remains inconclusive. This study investigated the response of immune cells to JAKi treatment to identify biomarkers by which to evaluate and predict clinical outcomes. Blood samples were collected from RA patients before and after JAKi treatment for the analysis of immunophenotypes. Our results revealed that JAKi mainly inhibited Fas+ T cell subsets. The percentage changes of Th Fas+ and Naive Th Fas+ cells were positively correlated with the 28-joint Disease Activity Score with erythrocyte sedimentation rate (DAS28-ESR) values. Following treatment, moderate response (MR) RA patients presented a decrease in the number of Naive Th Fas+ cells (p = 0.0001). Initial percentages of 14 T cell and 20 B cell subsets were correlated with percentage changes in DAS28-ESR. Overall, 16 cell subsets presented significant differences between the non-response (NR) and MR groups. Excluding the multicollinearity of the immune cells, we constructed a JAKi treatment response prediction index (JRPI) using 5 subsets of T/B cells, the results of which were strongly correlated with percentage changes in DAS28-ESR (receiver operating characteristic curve of 1). Note that the NR group was clearly distinguished from the MR group (p = 0.0167). In conclusion, the efficacy of JAKi can be attributed mainly to the suppression of Fas+ T cell subsets. A positive correlation was shown between the therapeutic efficacy of JAKi and the percentage changes in both Th Fas+ cells and Naive Th Fas+ cells. Furthermore, the proposed JRPI could potentially be used as an indicator to predict the efficacy of JAKi prior to treatment in RA patients. These findings may contribute to the development of personalized treatment strategies for RA patients using JAKi.

AB - Rheumatoid arthritis (RA) is a common autoimmune disease. Janus kinase inhibitors (JAKi) have been approved for the treatment of RA; however, the impact of JAKi on immune cells remains inconclusive. This study investigated the response of immune cells to JAKi treatment to identify biomarkers by which to evaluate and predict clinical outcomes. Blood samples were collected from RA patients before and after JAKi treatment for the analysis of immunophenotypes. Our results revealed that JAKi mainly inhibited Fas+ T cell subsets. The percentage changes of Th Fas+ and Naive Th Fas+ cells were positively correlated with the 28-joint Disease Activity Score with erythrocyte sedimentation rate (DAS28-ESR) values. Following treatment, moderate response (MR) RA patients presented a decrease in the number of Naive Th Fas+ cells (p = 0.0001). Initial percentages of 14 T cell and 20 B cell subsets were correlated with percentage changes in DAS28-ESR. Overall, 16 cell subsets presented significant differences between the non-response (NR) and MR groups. Excluding the multicollinearity of the immune cells, we constructed a JAKi treatment response prediction index (JRPI) using 5 subsets of T/B cells, the results of which were strongly correlated with percentage changes in DAS28-ESR (receiver operating characteristic curve of 1). Note that the NR group was clearly distinguished from the MR group (p = 0.0167). In conclusion, the efficacy of JAKi can be attributed mainly to the suppression of Fas+ T cell subsets. A positive correlation was shown between the therapeutic efficacy of JAKi and the percentage changes in both Th Fas+ cells and Naive Th Fas+ cells. Furthermore, the proposed JRPI could potentially be used as an indicator to predict the efficacy of JAKi prior to treatment in RA patients. These findings may contribute to the development of personalized treatment strategies for RA patients using JAKi.

KW - Fas+

KW - immunophenotyping

KW - JAK inhibitor

KW - prediction index

KW - rheumatoid arthritis

KW - therapeutic efficacy

U2 - 10.1111/apm.13341

DO - 10.1111/apm.13341

M3 - Journal article

C2 - 37439387

AN - SCOPUS:85165203490

VL - 131

SP - 498

EP - 509

JO - A P M I S. Acta Pathologica, Microbiologica et Immunologica Scandinavica

JF - A P M I S. Acta Pathologica, Microbiologica et Immunologica Scandinavica

SN - 0903-4641

IS - 9

ER -

ID: 360828044