Altered T lymphocyte subtypes and cytokine profiles in follicular fluid associated with diminished ovary reserve

Author(s):  
Nannan Zhao ◽  
Ce Zhang ◽  
Jie Ding ◽  
Huihua Wu ◽  
Wei Cheng ◽  
...  
Author(s):  
Sina Abhari ◽  
Jingqiao Lu ◽  
Heather S. Hipp ◽  
Brianne Petritis ◽  
Sabrina A. Gerkowicz ◽  
...  

2014 ◽  
Vol 2014 ◽  
pp. 1-11 ◽  
Author(s):  
N. Ellissa Baskind ◽  
Nicolas M. Orsi ◽  
Vinay Sharma

Background. The natural cycle is the prototype to which we aspire to emulate in assisted reproduction techniques. Increasing evidence is emerging that controlled ovarian hyperstimulation (COH) with exogenous gonadotropins may be detrimental to oogenesis, embryo quality, and endometrial receptivity. This research aimed at assessing the impact of COH on the intrafollicular milieu by comparing follicular fluid (FF) cytokine profiles during stimulatedin vitrofertilization (IVF) and modified natural cycle (MNC) IVF.Methods. Ten women undergoing COH IVF and 10 matched women undergoing MNC IVF were recruited for this pilot study. 40 FF cytokine concentrations from individual follicles and plasma were measured by fluid-phase multiplex immunoassay. Demographic/cycle/cytokine data were compared and correlations between cytokines were computed.Results. No significant differences were found between COH and MNC groups for patient and cycle demographics, including outcome. Overall mean FF cytokine levels were higher in the MNC group for 29/40 cytokines, significantly so for leukaemia inhibitory factor and stromal cell-derived factor-1α. Furthermore, FF MNC cytokine correlations were significantly stronger than for COH data.Conclusions. These findings suggest that COH perturbs intrafollicular cytokine networks, in terms of both cytokine levels and their interrelationships. This may impact oocyte maturation/fertilization and embryo developmental competence.


2005 ◽  
Vol 139 (1) ◽  
pp. 132-137 ◽  
Author(s):  
T. Hill ◽  
G. Galatowicz ◽  
T. Akerele ◽  
C. H. Lau ◽  
V. Calder ◽  
...  

Oral Diseases ◽  
2008 ◽  
Vol 1 (3) ◽  
pp. 139-146 ◽  
Author(s):  
E Gemmell ◽  
M Kjeldsen ◽  
K Yamazaki ◽  
T Nakajima ◽  
MJ Aldred ◽  
...  

PLoS ONE ◽  
2016 ◽  
Vol 11 (10) ◽  
pp. e0164609 ◽  
Author(s):  
Adam J. Case ◽  
Colton T. Roessner ◽  
Jun Tian ◽  
Matthew C. Zimmerman

1999 ◽  
Vol 141 (4) ◽  
pp. 689-693 ◽  
Author(s):  
Stingeni ◽  
Agea ◽  
Lisi ◽  
Spinozzi

2020 ◽  
Author(s):  
Qiang Li ◽  
Wei Xu ◽  
Weixia Li ◽  
Chenglu Huang ◽  
Liang Chen

Abstract Objective We aimed to compare the dynamic differences of immunological parameters in severe and non-severe COVID-19. Methods In this study, the cytokine profiles and lymphocyte subsets of 70 patients (31 severe COVID-19 and 39 non-severe COVID-19) were longitudinally analyzed. Results Compared with non-severe cases, severe cases had higher age (64 vs 36 years, p<0.001), more common comorbidities (74.2% vs 15.4%, p<0.001), and more frequently lymphopenia (0.7 vs 1.6×109/L, p<0.001). Severe cases had markedly higher levels of IL-6, IL-8, and IL-10 than non-severe cases from baseline to 3 weeks after admission (p<0.001). No significant differences were observed in the levels of IL-1β, IL-2, IL-4, IL-5, IL-12P70, IL-17, TNF-α, IFN-α, and IFN-γ between the two groups during the follow-up (p > 0.05). The absolute numbers of CD3+, CD4+, CD8+, and CD45+ T cells were markedly lower in severe cases compared with that in non-severe cases from baseline to 3 weeks after admission (p<0.001). The decrease of T lymphocyte subsets reached its peak from day 1 to 3 after admission, and gradually increased from day 4 to 21 in the non-severe group; however, reached its peak from day 4 to 7 after admission, and sustained at a low levels in the severe group. Conclusion The dynamic changes of cytokine profiles and T lymphocyte subsets are related with the disease severity of patients with COVID-19.


Immunology ◽  
2002 ◽  
Vol 105 (3) ◽  
pp. 314-324 ◽  
Author(s):  
Gregory D. Hussey ◽  
Marcia L. V. Watkins ◽  
Elizabeth A. Goddard ◽  
Sean Gottschalk ◽  
Elizabeth J. Hughes ◽  
...  

2010 ◽  
Vol 94 (4) ◽  
pp. S30
Author(s):  
E.N. Baskind ◽  
V. Sharma ◽  
N. Orsi ◽  
S. Barber

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