Correlation of Blood Flow of the Preovulatory Follicle to its Diameter and Endocrine Profile in Dairy Buffalo

A potential role of fibrillin-1 (FBN1) mRNA and asprosin in follicular development in water buffalo

Fibrillin-1 (FBN1) functions as a structural protein in the ovary, while the role of its protein product asprosin remains unknown. Both proteins are encoded by the FBN1 gene and when it is cleaved at the C-terminal end, asprosin is produced. Asprosin is associated with various metabolic parameters and sex-related hormones in women. One goal of this research was to quantify FBN1 and the presumed asprosin receptor, olfactory receptor family 4 subfamily M member 1 (OR4M1) mRNA in water buffalo granulosa cells and correlate them to aromatase (CYP19A1) gene expression. A second goal was to determine the effect of asprosin on follicular growth in vivo. In Exp. 1, ovaries were collected from a local slaughterhouse, follicular fluid and granulosa cells from small (<6 mm) and large (6-13 mm) follicles were aspirated, cellular RNA extracted for gene expression analysis, data analyzed using ANOVA, and Pearson correlation coefficients were calculated among FBN1, OR4M1, and CYP19A1 gene expression. In Exp. 2, an intra-follicular injection of asprosin (600 ng of asprosin/194 μL of PBS) or vehicle (200 μL of PBS; Controls) was given via the theca layer of the dominant follicle of synchronized cows (n = 5/group) 1 day after injection of PGF2α, follicle sizes were measured daily via transrectal ultrasonography for 3 days, a two-way repeated measures ANOVA was used to determine the effect of asprosin on growth rate of follicles from day 0-2, and Chi-square analysis for the percentage of cows ovulated 2 days following asprosin injections. In Exp. 1, FBN1 mRNA abundance was 1.9-fold greater in cells of follicular aspirates from small than large follicles (P < 0.05), but abundance of OR4M1 and CYP19A1 mRNA did not differ (P > 0.10) between the two sizes of follicles. Abundance of FBN1 mRNA was positively correlated with CYP19A1 (r = 0.55, P < 0.05) and OR4M1 mRNA (r = 0.50, P < 0.06) across follicle sizes. In Exp. 2, cows treated with asprosin revealed a greater follicle growth rate from day 0-2 (63.4% increase in diameter) than placebo cows (36.8% increase in diameter) post-injection, and more follicles from asprosin treatment vs. control group (100% vs. 20%; P < 0.05) ovulated within 2 days. These findings suggest that FBN1 may be developmentally regulated in follicular cells, and that asprosin may induce follicular growth in buffaloes, but further studies will be required to determine if asprosin directly regulates estradiol production during follicle development.

An objective volumetric method for assessment of ovarian follicular and luteal vascular flow using colour Doppler ultrasonography

Our goal was to develop an objective computer-assisted volumetric method of assessing vascular flow from colour Doppler ultrasound data of ovarian structures recorded by free-hand movement. We hypothesized that a vascularity index (ratio of the region of blood flood to the region of ovarian structure) obtained from the three-dimensional volumetric analysis would be more precise (less variable) than conventional two-dimensional analysis of single images in estimating the functional status of the preovulatory follicles and corpus luteum. Doppler ultrasound cineloops of water buffaloes (Bubalus bubalis; n = 22) ovaries were recorded daily from 12 h before GnRH treatment to four days after ovulation. Cineloops were processed using Fiji and Imaris software packages for segmenting the area (two-dimensional analysis) and the volume (three-dimensional analysis) occupied by the blood-flow and associated tissue to calculate the vascularity index. For volumetric measurement, all images in a cineloop were used (i.e., no a-priori selection of images) while for two-dimensional analysis, three images from the region with apparent maximum vascularity were selected. The volumetric method was verified with theoretical ellipsoidal volume of the follicle (r = 0.96 P < 0.01) or corpus luteum (r = 0.58 P = 0.02). The variability in the follicular vascularity index among animals was lower using the volumetric method than two-dimensional analysis (0.018 ± 0.002 vs 0.030 ± 0.005, P < 0.01), while the variability for CL vascularity was similar between methods (P = 0.23). An increase in the follicular vascularity index was detected at 12 h after GnRH treatment using both methods (two-dimensional: 0.030 ± 0.008, P < 0.01; three-dimensional: 0.016 ± 0.006, P < 0.02). Buffaloes that ovulated tended to have a greater increase in 3D vascularity index than non-responding buffaloes (P = 0.06); the two-dimensional method was not able to detect these changes. Using the three-dimensional method, a moderate positive correlation (r = 0.59; P = 0.02) was evident between the follicular vascularity index at 14-16 h after GnRH treatment and follicular diameter. In conclusion, an objective volumetric method for assessing relative ovarian blood flow changes was developed using Doppler ultrasound cineloops recorded by free-hand movement. The 3-dimensional method eliminates the need for a-priori selection of images and is more precise as a result of decreased technical variability.

Treated and untreated anovulation associated with ovarian and uterine blood flow in Arabian mares (a case study)

To investigate the development of treated and untreated hormonal anovulatory follicles (AnOV) associated with uterine and ovarian vascularization, rectal Doppler ultrasound of seven Arabian mares was performed before and after the development of an AnOV. In addition to measuring the diameter, area and volume of the follicle, daily colour and power Doppler scans were analysed in order to measure red, blue and power blood flow areas in pixels. Serum levels of estradiol (E2), progesterone (P4), leptin, insulin-like growth factor-I (IGF-1) and nitric oxide (NO) were measured as well. The diameter (cm), area (cm2), volume (cm3), area in pixels, antral area in pixels, circumference, and percentage change in circulation of the AnOV progressively increased (P<0.0001) after the disappearance of uterine oedema compared to the values obtained during oedema. The blue, total colour and power areas of the AnOV increased after the disappearance of uterine oedema (P<0.0001). When the antral area was excluded, the percentage of the granulosa layer in the colour and power Doppler decreased after the disappearance of uterine oedema. The ipsilateral uterine horn and uterine body had significantly (P<0.0001) high blue and red blood flow vascularization areas in the presence of uterine oedema. The AnOV was associated with low P4, IGF-1 (P<0.001), and leptin (P<0.05). Treatment of the AnOV follicle with GnRH resulted in its luteinization and induced ovulation 9 and 30 days later. It can be concluded that an abrupt increase in blood flow due to decreased progesterone and E2 and increased IGF-1 causes anovulation. The absence of oestrous behaviour and high uterine-oedema-associated follicular and ipsilateral uterine horn vascularization are predictors of ovulation failure.

Follicle vascularity coordinates corpus luteum blood flow and progesterone production

Colour Doppler ultrasonography was used to compare the ability of preovulatory follicle (POF) blood flow and its dimensions to predict the size, blood flow and progesterone production capability of the subsequent corpus luteum (CL). Cows (n=30) were submitted to a synchronisation protocol. Follicles ≥7mm were measured and follicular wall blood flow evaluated every 12h for approximately 3.5 days until ovulation. After ovulation, cows were scanned daily for 8 days and similar parameters were evaluated for the CL. Blood samples were collected and plasma progesterone concentrations quantified. All parameters were positively correlated. Correlation values ranged from 0.26 to 0.74 on data normalised to ovulation and from 0.31 to 0.74 on data normalised to maximum values. Correlations between calculated ratios of both POF and CL in data normalised to ovulation and to maximum values ranged from moderate (0.57) to strong (0.87). Significant (P<0.0001) linear regression analyses were seen in all comparisons. In conclusion, higher correlations were observed between the dimensions of POF and/or CL and blood flow of both structures, as well as POF and/or CL blood flow with plasma progesterone concentrations of the resultant CL. These findings indicate that follicle vascularity coordinates CL blood flow and progesterone production in synchronised beef cows.