Literature DB >> 30950053

Messenger RNA and protein expression of tumor necrosis factor α and its receptors in human follicular granulosa cells.

Ali Salmassi1,2, Amir Fattahi3, Nora Simon4, Zeinab Latifi2, Tohid Ghasemnejad2, Mohammad Nouri3, Andreas G Schmutzler1,5.   

Abstract

To evaluate the concentration of tumor necrosis factor α (TNF-α) and its soluble receptors (sTNFR I and II) in serum and follicular fluid (FF) at the time of oocyte retrieval and to detect expression of TNF-α and its receptors by luteinized granulosa cells (GCs). In a cross-sectional study and through an in vitro fertilization-intracytoplasmic sperm injection (IVF-ICSI) program, 81 women undergoing oocyte retrieval were recruited. Serum and FF were obtained from 81 women. GCs were pooled from 20 patients (from six different days of oocyte retrievals, 5-16 follicles per patient). TNF-α and its soluble receptors concentration were determined by enzyme-linked immunosorbent assay and also their expression by immune cytochemistry and reverse-transcription polymerase chain reaction analysis. The median TNF-α concentration in serum was 4.06 pg/ml (interquartile range [IQR], 3.71-6.14) and significantly higher than that in FF with 3.50 pg/ml (IQR, 3.05-5.01), p < 0.001. The sTNFR I and II levels in serum were lower and higher than FF, respectively. The TNF-α levels in serum and FF of good responders were higher than low responders (p = 0.017 and 0.021, respectively). TNF-α cut-off level for low responders versus good responders was 4.174 pg/ml in serum with a pregnancy rate of 25.8% and 40% for below and above of this level, respectively (p = 0.19). For FF, the cut-off value was 3.89 pg/ml. TNF-α and its receptors were expressed by GCs. The presence of TNF-α and its soluble receptors in serum and FF and their expression by GCs suggest an important role for this cytokine in ovarian function.
© 2019 Wiley Periodicals, Inc.

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Keywords:  IVF-ICSI; TNF-α receptors; granulosa cell; tumor necrosis factor α (TNF-α)

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Year:  2019        PMID: 30950053     DOI: 10.1002/jcp.28624

Source DB:  PubMed          Journal:  J Cell Physiol        ISSN: 0021-9541            Impact factor:   6.384


  1 in total

1.  Multi-Omics Analysis and Machine Learning Prediction Model for Pregnancy Outcomes After Intracytoplasmic Sperm Injection-in vitro Fertilization.

Authors:  Fangying Chen; Yixin Chen; Qinyun Mai
Journal:  Front Public Health       Date:  2022-06-30
  1 in total

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