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Open Access | 10.1172/jci.insight.189388
1Department of Pediatrics, The University of North Carolina at Chapel Hill, Chapel Hill, United States of America
2Department of Computer Science, The University of North Carolina at Chapel Hill, Chapel Hill, United States of America
3Department of Biostatistics, The University of North Carolina at Chapel Hill, Chapel Hill, United States of America
4Topsham, United States of America
5Magee-Womens Research Institute, The University of Pittsburgh, Pittsburgh, United States of America
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Yount, K.
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1Department of Pediatrics, The University of North Carolina at Chapel Hill, Chapel Hill, United States of America
2Department of Computer Science, The University of North Carolina at Chapel Hill, Chapel Hill, United States of America
3Department of Biostatistics, The University of North Carolina at Chapel Hill, Chapel Hill, United States of America
4Topsham, United States of America
5Magee-Womens Research Institute, The University of Pittsburgh, Pittsburgh, United States of America
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Chen, C.
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1Department of Pediatrics, The University of North Carolina at Chapel Hill, Chapel Hill, United States of America
2Department of Computer Science, The University of North Carolina at Chapel Hill, Chapel Hill, United States of America
3Department of Biostatistics, The University of North Carolina at Chapel Hill, Chapel Hill, United States of America
4Topsham, United States of America
5Magee-Womens Research Institute, The University of Pittsburgh, Pittsburgh, United States of America
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1Department of Pediatrics, The University of North Carolina at Chapel Hill, Chapel Hill, United States of America
2Department of Computer Science, The University of North Carolina at Chapel Hill, Chapel Hill, United States of America
3Department of Biostatistics, The University of North Carolina at Chapel Hill, Chapel Hill, United States of America
4Topsham, United States of America
5Magee-Womens Research Institute, The University of Pittsburgh, Pittsburgh, United States of America
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1Department of Pediatrics, The University of North Carolina at Chapel Hill, Chapel Hill, United States of America
2Department of Computer Science, The University of North Carolina at Chapel Hill, Chapel Hill, United States of America
3Department of Biostatistics, The University of North Carolina at Chapel Hill, Chapel Hill, United States of America
4Topsham, United States of America
5Magee-Womens Research Institute, The University of Pittsburgh, Pittsburgh, United States of America
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1Department of Pediatrics, The University of North Carolina at Chapel Hill, Chapel Hill, United States of America
2Department of Computer Science, The University of North Carolina at Chapel Hill, Chapel Hill, United States of America
3Department of Biostatistics, The University of North Carolina at Chapel Hill, Chapel Hill, United States of America
4Topsham, United States of America
5Magee-Womens Research Institute, The University of Pittsburgh, Pittsburgh, United States of America
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Zheng, X.
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1Department of Pediatrics, The University of North Carolina at Chapel Hill, Chapel Hill, United States of America
2Department of Computer Science, The University of North Carolina at Chapel Hill, Chapel Hill, United States of America
3Department of Biostatistics, The University of North Carolina at Chapel Hill, Chapel Hill, United States of America
4Topsham, United States of America
5Magee-Womens Research Institute, The University of Pittsburgh, Pittsburgh, United States of America
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1Department of Pediatrics, The University of North Carolina at Chapel Hill, Chapel Hill, United States of America
2Department of Computer Science, The University of North Carolina at Chapel Hill, Chapel Hill, United States of America
3Department of Biostatistics, The University of North Carolina at Chapel Hill, Chapel Hill, United States of America
4Topsham, United States of America
5Magee-Womens Research Institute, The University of Pittsburgh, Pittsburgh, United States of America
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Poston, T.
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1Department of Pediatrics, The University of North Carolina at Chapel Hill, Chapel Hill, United States of America
2Department of Computer Science, The University of North Carolina at Chapel Hill, Chapel Hill, United States of America
3Department of Biostatistics, The University of North Carolina at Chapel Hill, Chapel Hill, United States of America
4Topsham, United States of America
5Magee-Womens Research Institute, The University of Pittsburgh, Pittsburgh, United States of America
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Wiesenfeld, H.
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1Department of Pediatrics, The University of North Carolina at Chapel Hill, Chapel Hill, United States of America
2Department of Computer Science, The University of North Carolina at Chapel Hill, Chapel Hill, United States of America
3Department of Biostatistics, The University of North Carolina at Chapel Hill, Chapel Hill, United States of America
4Topsham, United States of America
5Magee-Womens Research Institute, The University of Pittsburgh, Pittsburgh, United States of America
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1Department of Pediatrics, The University of North Carolina at Chapel Hill, Chapel Hill, United States of America
2Department of Computer Science, The University of North Carolina at Chapel Hill, Chapel Hill, United States of America
3Department of Biostatistics, The University of North Carolina at Chapel Hill, Chapel Hill, United States of America
4Topsham, United States of America
5Magee-Womens Research Institute, The University of Pittsburgh, Pittsburgh, United States of America
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O'Connell, C.
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1Department of Pediatrics, The University of North Carolina at Chapel Hill, Chapel Hill, United States of America
2Department of Computer Science, The University of North Carolina at Chapel Hill, Chapel Hill, United States of America
3Department of Biostatistics, The University of North Carolina at Chapel Hill, Chapel Hill, United States of America
4Topsham, United States of America
5Magee-Womens Research Institute, The University of Pittsburgh, Pittsburgh, United States of America
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1Department of Pediatrics, The University of North Carolina at Chapel Hill, Chapel Hill, United States of America
2Department of Computer Science, The University of North Carolina at Chapel Hill, Chapel Hill, United States of America
3Department of Biostatistics, The University of North Carolina at Chapel Hill, Chapel Hill, United States of America
4Topsham, United States of America
5Magee-Womens Research Institute, The University of Pittsburgh, Pittsburgh, United States of America
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Darville, T.
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Published February 27, 2025 - More info
Chlamydia trachomatis (CT) is the most common bacterial sexually transmitted infection globally. Understanding natural immunity to CT will inform vaccine design. This study aimed to profile immune cells and associated functional features in CT-infected women, and determine immune profiles associated with reduced risk of ascended endometrial CT infection and CT reinfection. PBMCs from CT-exposed women were profiled by mass cytometry and random forest models identified key features that distinguish outcomes. CT+ participants exhibited higher frequencies of CD4+ Th2, Th17, and Th17 DN CD4 T effector memory (TEM) cells than uninfected participants with decreased expression of T cell activation and differentiation markers. Minimal differences were detected between women with or without endometrial CT infection. Participants who remained follow-up negative (FU-) showed higher frequencies of CD4 T central memory (TCM) Th1, Th17, Th1/17, and Th17 DN but reduced CD4 TEM Th2 cells than FU+ participants. Expression of markers associated with central memory and Th17 lineage were increased on T cell subsets among FU- participants. These data indicate that peripheral T cells exhibit distinct features associated with resistance to CT reinfection. The highly plastic Th17 lineage appears to contribute to protection. Addressing these immune nuances could promote efficacy of CT vaccines.