Evaluation of peripheral blood NK cell subsets and cytokines in unexplained recurrent miscarriage
- PMID: 30145058
- DOI: 10.1016/j.jcma.2018.05.005
Evaluation of peripheral blood NK cell subsets and cytokines in unexplained recurrent miscarriage
Abstract
Background: Recurrent miscarriage is considered as one of the main problems in women's reproductive health. The aim of the present study was to evaluate the natural killer cells (NK cells) and cytokines in unexplained recurrent miscarriage and fertile women.
Methods: In this case-control study, 40 women with unexplained recurrent miscarriage were assigned to the case group and 40 fertile women were assigned to the control group. NK cell subsets (CD56+ CD16+/CD56+ CD16-) and cytokines (IL-2/IL-12) levels in the peripheral blood (PB) were used for assessing immunologic problems. The percentage of peripheral blood NK cells (CD56dim/bright) was identified by flow cytometry.
Results: The obtained results showed a significant difference in CD56+ CD16+ and CD56+ CD16- between the two groups. Also, there was no significant difference in the IL-2 and IL-12 between the two groups. A cut-off value of ≥5.25% (p < 0.001) and ≥3.4% (p < 0.015) for the increased percentage of CD56+ CD16+ and CD56+ CD16-cells in the PB become predictive of recurrent miscarriage.
Conclusion: Increased NK cells in the PB of women with recurrent miscarriage strongly establish prospective researches to recognize the predictive value of these parameters in the evaluation of patients with recurrent miscarriage.
Keywords: Cytokines; Natural killer cells; Peripheral blood; Recurrent miscarriage.
Copyright © 2018. Published by Elsevier Taiwan LLC.
Comment in
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Recurrent miscarriage: Are NK cell subsets a good predictor?J Chin Med Assoc. 2019 May;82(5):443. doi: 10.1097/JCMA.0000000000000097. J Chin Med Assoc. 2019. PMID: 31082989 No abstract available.
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Reply to: "Recurrent miscarriage: Are NK cell subsets a good predictor?".J Chin Med Assoc. 2019 May;82(5):444. doi: 10.1097/JCMA.0000000000000098. J Chin Med Assoc. 2019. PMID: 31082990 No abstract available.
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