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DOI 10.1016/j.micinf.2017.12.001

Медицинская библиотека · Microbes and infection · 2017

T cell phenotypes in women with Chlamydia trachomatis infection and influence of treatment on phenotype distributions.

Ogendi Brian M O, Bakshi Rakesh K, Gupta Kanupriya, Kapil Richa, Brown LaDraka T, Jordan Stephen J, Sabbaj Steffanie, Press Christen G, Lee Jeannette Y, Geisler William M

СтатьяПоддержка NIH: внешняя программаПеревод в очереди

Аннотация

T cell phenotypes involved in the immune response to Chlamydia trachomatis (CT) have not been fully elucidated in humans. We evaluated differences in T cell phenotypes between CT-infected women and CT-seronegative controls and investigated changes in T cell phenotype distributions after CT treatment and their association with reinfection. We found a higher expression of T cell activation markers (CD38+HLA-DR+), T helper type 1 (Th1)- and Th2-associated effector phenotypes (CXCR3+CCR5+ and CCR4+, respectively), and T cell homing marker (CCR7) for both CD4+ and CD8+ T cells in CT-infected women. At follow-up after treatment of infected women, there were a lower proportion of CD4+ and CD8+ T cells expressing these markers. These findings suggest a dynamic interplay of CD4+ and CD8+ T cells in CT infection, and once the infection is treated, these cell markers return to basal expression levels. In women without reinfection, a significantly higher proportion of CD8+ T cells co-expressing CXCR3 with CCR5 or CCR4 at follow-up was detected compared to women with reinfection, suggesting they might play some role in adaptive immunity. Our study elucidated changes in T cell phenotypes during CT infection and after treatment, broadening our understanding of adaptive immune mechanisms in human CT infections.

Для цитирования: Ogendi Brian M O, Bakshi Rakesh K, Gupta Kanupriya, Kapil Richa, Brown LaDraka T, Jordan Stephen J, Sabbaj Steffanie, Press Christen G, Lee Jeannette Y, Geisler William M. T cell phenotypes in women with Chlamydia trachomatis infection and influence of treatment on phenotype distributions.. Microbes and infection. 2017. DOI: 10.1016/j.micinf.2017.12.001.

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