Participants
We studied 54 infertile women, ranging in age from 24 – 40 years (33 ± 4 years, mean ± SD), who attended a long agonist IVF protocol in the Kuopio University Hospital infertility clinic. Subjects were recruited from the infertility clinic while meeting the doctor for IVF treatment planning. Twenty-six of the subjects participated in a postprandial test, and the rest twenty-eight patients had only fasting blood samples of the different variables.
Study protocol and meal
The subjects were encountered thrice. The first time (Visit 1) was at the beginning of the menstrual cycle without any hormonal treatment (from the second to the fifth day of the period). Then, agonist medication (GnRH-analogue, nafarelin acetate 800 mcg/day) was initiated approximately one week before the next period. The patient came to the subsequent control (Visit 2) about one month after Visit 1. Then patient's estradiol level was supposed to be very low, like in postmenopausal level. In Visit 2, subjects started the controlled ovarian stimulation with FSH. The FSH dose varied from 125 IU to 300 IU, and it was adapted to the patient's body mass index (BMI), ovarian reserve, and age. In Visit 3, subjects met the doctor for the third time after administering FSH daily for nine days. Then the estradiol level was supposed to be ascended compared to levels in the menstrual cycle. Blood samples and clinical measurements were obtained at every three visits. For the hormonal intervention, primary outcome variables were the concentrations of leptin, GLP-1, hs-CRP, and the satiety feeling.
For 26 of the 54 patients, a postprandial test was performed. First, fasting samples were taken (0 minutes) and then subjects ate a standard breakfast (185 grams (g) porridge, 150 g yogurt, and a glass of water). Next, they had a cannula in the antecubital vein, and a nurse took blood samples at 30, 60, 120, and 240 minutes (min). At all three visits, plasma levels of leptin, GLP-1, and hs-CRP were determined at those five time points.
Secondary outcomes were serum levels of glucose, HbA1c, insulin, estradiol, and plasma lipid levels. If data from three visits was missing, the patient was excluded from the study, except levels of glucose and HbA1c (n=53), insulin (n=48), and leptin (n=44).
Height and weight were measured at each visit, and BMI was calculated. All laboratory tests and data about appetite profile and dietary intake were blindly analyzed by personnel who had no information of the IVF cycle phase.
Appetite profile and dietary intake
Patients (n=26), who participated in postprandial tests, filled visual analog scales to exhibit the appetite profile, satiety, and desire to eat. Scales were filled before the meal (0 min) and at four time points (30, 60, 120, and 240 min). Dietary intake was assessed using food records (FRs), in which food and beverage intakes were reported for three consecutive days before each study visit. Participants who failed to fill FRs beforehand were advised to fill their FR on the days following the study visit. Portion sizes were weighed or estimated using household measures. Thirteen participants who failed to fill all three FRs were excluded from the nutrient intake analyses. Nutrient intake from the diet (i.e., vitamin and mineral supplements excluded) was calculated using AivoDiet software (version 2.2.0.0., AivoFinland Oy, Turku, Finland) based on national and international analyses, and international food composition tables (fineli.fi).
Blood samples
Overnight fasting blood samples (12h) were taken and analyzed in the laboratory. Samples were centrifuged at 2000 rpm for 10 minutes, and serum plasma was separated. All lipid, estradiol, and hs-CRP determinations were analyzed using standard methods, as previously described [9, 10]. GLP-1 was analyzed with Cloud-Clone Corp., ELISA (LOT: L190104265, Exp. Sep. 2019), with a working range of 12.35 pg/ml-1000 pg/ml. Leptin was determined with R&D systems (a Bio-techne brand, Quantikine ELISA. Catalog No. DLP00, LOT: P221489, Exp. 03 Nov 2020), with measurement lower boundary under 7.8 pg/ml. Glucose was analyzed by enzymatic method with hexokinase using Cobas 6000 (c 501) analyzer (Hitachi High Technology Co, Tokyo, Japan). Reagent assessed was Glucose HK (GLUC3), (cat. nro 04404483 190, Roche Diagnostics GmbH, Mannheim, Germany. ACN 717). The measuring range was 0.1-41.6 mmol/l. HbA1c was determined by Turbidimetric inhibition immunoassay (TINIA) with Cobas 6000 –analyzer (Hitachi High Technology Co, Tokyo, Japan). Reagents used: 1. Tina-quant Hemoglobin A1c Gen.3 (A1C-3), (Cat. no. 05336163 190, Cobas c systems, Roche Diagnostics GmbH, Mannheim, Germany), 2. Hemolyzing Reagent Gen.2 (A1CD2), (Cat. No. 04528182 190, Cobas c systems, Roche Diagnostics GmbH, Mannheim, Germany), and 3. Special Cell Cleaning Solution (SCCS), (Cat. No. 04880994 190, Cobas c systems, Roche Diagnostics GmbH, Mannheim, Germany). Measuring range was Hb 40-400 g/l, HbA1c 3.0-26.0 g/l, unit mmol/mol. Insulin was assessed by ECLIA with a Cobas e 601 -analyzer (Hitachi High Technology Co, Tokyo, Japan). Reagent assessed was Insulin, (cat nro 12017547 122, Roche Diagnostics GmbH, Mannheim, Germany). The measuring range was 0.2-1000 mU/l.
Statistical analyses
Statistical analyses and calculations were done with IBM SPSS Statistics (version 27 for Macintosh, Armonk, NY.). Descriptive data are expressed as means±SD in tables and as means±SEM in figures. Kolmogorov-Smirnov-test was performed to test distribution's normality. This test exhibited skewed distributions in main variables, and statistical analyses were accomplished with non-parametrical tests. Friedman's test was used to detect the difference in the values between separate time points. If the significance was observed between time points, Wilcoxon's test analyzed differences between two time points. Univariate correlations were defined using Spearman correlation. P<0.05 was considered statistically significant.
Dietary intake data were analyzed using IBM SPSS Statistics (version 27, IBM inc., Armonk, New York) and RStudio Version 1.4.1106 (RStudio, Inc.) software. Shapiro-Wilk test was used to assess the normality of the data. Non-normally distributed variables were log10-transformed. Repeated measures ANOVA and Friedman test were used for normally and non-normally distributed variables, respectively. Bonferroni correction was applied to all posthoc tests. A two-tailed P-value of < 0.05 was considered statistically significant.