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Original Articles

The follicular levels of adipokines and their ratio as the prognostic markers of in vitro fertilization outcomes

, , , , &
Pages 31-34 | Received 05 Jun 2021, Accepted 28 Jun 2021, Published online: 23 Dec 2021
 

Abstract

Introduction

Adipokines are involved in the regulation of the female reproductive system. The purpose was to study the possibility of using adipokines levels in the follicular fluid to predict IVF efficiency.

Materials and methods

Four groups of women were studied: pregnant during IVF, with normal (PN, n = 9) and increased (BMI > 25 kg/m2) body weight (BW) (PI, n = 7), and nonpregnant during IVF, with normal (nPN, n = 16) and increased BW (nPI, n = 21).

Results

In PN group, leptin level was higher than in nPN group (p < .05). In the PI and nPI groups, it did not differ, but was higher than in women with normal BW. In PN group, ghrelin level was lower than in nPN group (p < .05), while in the PI and nPI groups it was comparable. The leptin/ghrelin ratio in PN group was higher than in nPN group (18.10 ± 3.38 vs. 3.93 ± 0.60, p < .05), but lower than in the PI (31.70 ± 15.38) and nPI (24.30 ± 3.45) groups. The leptin/adiponectin ratio in PN group was also higher than in nPN group (6.97 ± 0.64 vs. 2.95 ± 0.39, p < .05), but lower than in the PI (13.60 ± 1.59) and nPI (10.86 ± 0.87) groups. Adiponectin levels differed only between the nPN and nPI groups. In women with normal BW, odds ratio showed that the leptin/ghrelin ratio has the greatest prognostic value for predicting the success of IVF outcomes (OR: 29.53; CI: 1.53–570.83, p =.025) among other indicators. In women with increased BW, none of the indicators had predictive value.

Conclusion

The follicular leptin/ghrelin ratio is a suitable indicator for predicting IVF outcomes in women with normal BW.

Geolocation information

Saint-Petersburg, Russia; Word count — 2095

Disclosure statement

The authors report no conflict of interest

Additional information

Funding

This work was supported by the Fundamental research program of Russian Academy of Sciences under Grant АААА-А19-119030490047-8 and partially supported by the Russian Foundation of Basic Investigations and DST [№ 18-515-45004 IND-a; № INT/RUS/RFBR/P-310].