| Literature DB >> 25139174 |
D Maruthini1, S E Harris2, J H Barth3, A H Balen4, B K Campbell5, H M Picton2.
Abstract
STUDY QUESTION: What are the consequences of polycystic ovary syndrome (PCOS) pathology and metformin-pretreatment in vivo in women with PCOS on the metabolism and steroid production of follicular phenotype- and long-term cultured-granulosa cells (GC)? SUMMARY ANSWER: PCOS pathology significantly compromised glucose metabolism and the progesterone synthetic capacity of follicular- and long-term cultured-GCs and the metabolic impact of PCOS on GC function was alleviated by metformin-pretreatment in vivo. WHAT IS KNOWN ALREADY: Granulosa cells from women with PCOS have been shown to have an impaired insulin-stimulated glucose uptake and lactate production in vitro. However, these results were obtained by placing GCs in unphysiological conditions in culture medium containing high glucose and insulin concentrations. Moreover, existing data on insulin-responsive steroid production in vitro by PCOS GCs vary. STUDY DESIGN, SIZE AND DURATION: Case-control experimental research comparing glucose uptake, pyruvate and lactate production and progesterone production in vitro by GCs from three aetiological groups, all undergoing IVF; healthy control women (Control, n = 12), women with PCOS treated with metformin in vivo (Metformin, n = 8) and women with PCOS not exposed to metformin (PCOS, n = 8). The study was conducted over a period of 3 years between 2007 and 2010. PARTICIPANTS/MATERIALS, SETTING,Entities:
Keywords: energy metabolism; human granulosa cells; metformin; polycystic ovary syndrome; progesterone
Mesh:
Substances:
Year: 2014 PMID: 25139174 PMCID: PMC4164147 DOI: 10.1093/humrep/deu187
Source DB: PubMed Journal: Hum Reprod ISSN: 0268-1161 Impact factor: 6.918
Demographics of the participants of the granulosa cell metabolism studies.
| Clinical data | Control ( | PCOS ( | Metformin ( | Significance |
|---|---|---|---|---|
| Age (years) | 34.4 ± 1.4 | 31.5 ± 1.2 | 34.4 ± 1.3 | ns |
| Duration of infertility (years) | 3.2 ± 0.7 | 4.1 ± 0.8 | 3.4 ± 0.7 | ns |
| BMI (kg/m2) | 25.5 ± 1.6 | 26.0 ± 1.9 | 29.8 ± 1.5 | ns |
| Serum FSH (IU/l) | 6.8 ± 0.6 | 5.5 ± 0.5 | 5.7 ± 0.5 | ns |
| Total days of stimulation | 10.2 ± 0.2 | 12.4 ± 0.9 | 10.4 ± 0.5 | ns |
| Total dose of exogenous FSH IU | 2405 ± 264 | 2692 ± 382 | 1885 ± 303 | ns |
| Total number of follicles developed | 23.3 ± 2.0 | 31.1 ± 3.0 | 23.8 ± 4.0 | ns |
| Number of MII oocytes/patient | 16.3 ± 2.0 | 12.4 ± 2.8 | 11.1 ± 1.0 | PCOS versus Control, |
| Fertilization rate/MII oocyte | 67 ± 0.2% | 67 ± 0.2% | 60 ± 0.2% | ns |
| Positive pregnancy rate per cycle started | 50% | 75% | 63% | ns |
| Clinical pregnancy rate per cycle started | 50% | 57% | 44% | ns |
The values are mean ± SEM except for fertilization, positive pregnancy and clinical pregnancy rate. Chi2 and Kruskal–Wallis tests were used for statistical analysis.
PCOS: polycystic ovary syndrome; MII: metaphase II; Metformin: women with PCOS who had been treated with metformin.
Comparison of biochemical parameters between three groups.
| Sample type | Control | PCOS | Metformin | Significance | |
|---|---|---|---|---|---|
| Fasting glucose (mM) | Serum | 4.5 ± 0.1 ( | 4.2 ± 0.1 ( | 4.5 ± 0.3 ( | ns |
| Fasting insulin (ng/ml) | Serum | 0.2 ± 0.1 ( | 0.4 ± 0.1 ( | 0.3 ± 0.1 ( | ns |
| QUICKI insulin resistance index | Serum | 0.41 ± 0.1 ( | 0.4 ± 0.3 ( | 0.4 ± 0.2 ( | ns |
| Glucose (mM) | Follicular fluid | 2.7 ± 0.9 ( | 3.2 ± 0.2 ( | 3.3 ± 0.5 ( | ns |
| Insulin (ng/ml) | Follicular fluid | 50 ± 21 ( | 14 ± 10 ( | 41 ± 9 ( | ns |
The values are mean ± SEM for the number of analyses shown. Comparison is between the three aetiological groups for each biochemical parameter using Kruskal–Wallis test. Samples of clean catch follicular fluid were not available for all patients who consented for GC metabolism research. Therefore fewer follicular fluid samples were available for glucose and insulin measurements.
Figure 1The effect of aetiology (A) and aetiology-glucose interaction (B) on acute glucose consumption, pyruvate and lactate production by granulosa cells (GCs) at 6 h of culture. Values plotted are mean ± SEM of the log-transformed data for the number of individual patient cultures shown. Data have been standardized according to viable cell number plated. Different letters on graphs in (A) indicate significant differences between the three aetiological groups tested for each metabolite (P < 0.05). Different letters on graphs in (B) indicate significant differences (P < 0.05) between the three aetiological groups within each glucose dose.
Figure 2The effect of aetiology on GC viability after 144 h of culture. The values plotted are mean ± SEM of the log-transformed data for the number of individual patient cultures shown. Different letters on the graph indicate significant differences (P < 0.05) between the aetiologies. The dotted line represents the plating density of viable cells per well at the start of the culture.
Figure 3The effect of aetiology (A) and glucose dose in the culture medium (B) on glucose consumption, pyruvate and lactate production by GCs after 144 h of culture. The values are mean ± SEM of the log-transformed data for the number of individual patient cultures shown. Data have been standardized according to viable cell number measured after 144 h of culture. Different letters on the graphs indicate significant differences (P < 0.05) between the three aetiological groups and the glucose doses tested for each metabolite.
Figure 4The effects of aetiology on percentage increase (positive values) or decrease (negative values) in glucose consumption and pyruvate and lactate production rate per 1 × 105 viable GCs per well over 144 h of culture. The values plotted are mean ± SEM of the data for the number of individual patient cultures shown. Asterisk indicates significant difference (P < 0.05) between the aetiologies for the metabolite shown.
Figure 5The effects of aetiology and duration of culture on overall progesterone production by GCs. The values plotted are mean ± SEM of the log-transformed data for the number of individual patient cultures shown. Data have been standardized according to viable cell number. a and b indicate significant difference (P < 0.05) between the aetiological groups at 6 h of culture (6 h) and x, y and z indicate significant difference (P < 0.05) between the aetiological groups at 144 h of culture (144 h). Asterisk indicates significant difference (P < 0.05) within aetiology at the two time points shown.
Figure 6The effects of aetiology and duration of culture on the glycolytic index of GCs. The values plotted are mean ± SEM of the data for the number of individual patient cultures shown. a and b indicate significant difference (P < 0.05) between the aetiological groups at 6 h of culture (6 h) and x and y indicate significant difference (P < 0.05) between the aetiological groups at 144 h of culture (144 h).