Senescent T cells predict the development of hyperglycemia in humans

Yong ho Lee, So Ra Kim, Dai Hoon Han, Hee Tae Yu, Yoon Dae Han, Jin Hee Kim, Soo Hyun Kim, Chan Joo Lee, Byoung Hoon Min, Dong Hyun Kim, Kyung Hwan Kim, Jin Won Cho, Won Woo Lee, Eui Cheol Shin, Sungha Park

Research output: Contribution to journalArticlepeer-review

10 Citations (Scopus)

Abstract

Senescent T cells have been implicated in chronic inflammatory and cardiovascular diseases. In this study, we explored the relationship between senescent T cells and glycemic status in a cohort of 805 participants by investigating the frequency of CD57+ or CD28null senescent T cells in peripheral blood. Participants with normal glucose tolerance (NGT) with follow-up data (N = 149) were included to determine whether hyperglycemia (prediabetes or type 2 diabetes) developed during followup (mean 2.3 years). CD8+CD57+ and CD8+CD28null T-cell frequencies were significantly higher in prediabetes and type 2 diabetes compared with NGT. Increased CD57+ or CD28null cells in the CD8+ T-cell subset were independently associated with hyperglycemia. Furthermore, among participants with baseline NGT, the frequency of CD8+CD57+ T cells was an independent predictor of hyperglycemia development. Immunofluorescent analyses confirmed that CD8+CD57+ T-cell infiltration was increased in visceral adipose tissue of patients with prediabetes or type 2 diabetes compared with those with NGT. Our data suggest that increased frequency of senescent CD8+ T cells in the peripheral blood is associated with development of hyperglycemia.

Original languageEnglish
Pages (from-to)156-162
Number of pages7
JournalDiabetes
Volume68
Issue number1
DOIs
Publication statusPublished - 2019 Jan 1

Bibliographical note

Funding Information:
This work was supported by grants from the Korean Health Technology R&D Project, Ministry of Health and Welfare, Republic of Korea (HI13C0715 to S.P. and HI17C0913 to Y.-h.L.) and by the Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Science, ICT and Future Planning (NRF-2015R1A2A2A01007346 to S.P. and NRF-2016R1A5A1010764 to Y.-h.L.). This work was also supported by the KAIST Future Systems Healthcare Project from the Ministry of Science, ICT and Future Planning.

All Science Journal Classification (ASJC) codes

  • Internal Medicine
  • Endocrinology, Diabetes and Metabolism

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