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Endocrinology Vol. 143, No. 3 784-791
Copyright © 2002 by The Endocrine Society


GROWTH FACTORS-CYTOKINES-ONCOGENES

Expression, Hormonal Regulation, and Cyclic Variation of Chemokines in the Rat Ovary: Key Determinants of the Intraovarian Residence of Representatives of the White Blood Cell Series

Kenneth H. H. Wong, Hiroaki Negishi1 and Eli Y. Adashi

Division of Reproductive Sciences, Department of Obstetrics and Gynecology, University of Utah Health Sciences Center, Huntsman Cancer Institute, Salt Lake City, Utah 84112

Address all correspondence and requests for reprints to: Dr. Eli Y. Adashi, Division of Reproductive Sciences, Department of Obstetrics and Gynecology, University of Utah Health Sciences Center, Huntsman Cancer Institute, 2000 Circle of Hope, Room 5221, Salt Lake City, Utah 84112. E-mail: . eadashi{at}hsc.utah.edu


    Abstract
 Top
 Abstract
 Introduction
 Materials and Methods
 Results
 Discussion
 References
 
A growing body of evidence suggests that mammalian ovulation bears similarities to local inflammatory reactions. Monocytes/macrophages, eosinophils, and neutrophils are known to infiltrate the area surrounding the dominant follicle before ovulation. Candidate local chemoattractants may include a family of small cytokines, also known as chemokines. In the present study, quantitative RT-PCR was used to initially identify and quantify the chemokines expressed in the preovulatory rat ovary. The chemokines monocyte chemotatic protein 1 (MCP-1), MCP-3, macrophage inflammatory protein 1{alpha} (MIP-1{alpha}), MIP-1ß, MIP-1{gamma}, regulated upon activation normal T cell expressed and secreted, eotaxin, interferon-inducible protein of 10 kDa, growth-regulated oncogene, lymphotactin, and fractalkine were all expressed in the PMSG-primed rat ovary 6 h post human CG. C10, T cell activation gene 3, exodus, exodus-2, cytokine-induced neutrophil chemoattractant-2, MIP-2, and lipopolysaccharide-induced C-X-C were not expressed in the PMSG-primed rat ovary 6 h post human CG. The cyclic variation of the ovary-positive chemokines was also evaluated throughout the course of a superovulated ovarian cycle. Significant preovulatory up-regulation relative to the untreated control state was documented for MCP-1 (18-fold), MCP-3 (12-fold), and growth-regulated oncogene (25-fold). In contrast, the preovulatory ovarian expression of eotaxin, fractalkine and regulated upon activation normal T cell expressed and secreted was not increased. These observations suggest that intraovarian chemokines may be responsible for the cyclic intraovarian residence of representatives of the white blood cell series.


    Introduction
 Top
 Abstract
 Introduction
 Materials and Methods
 Results
 Discussion
 References
 
IT HAS LONG been observed that the process of ovulation bears significant similarities to the inflammatory process. There now exists a growing body of evidence suggesting that ovulation may indeed constitute a local inflammatory reaction (1). In particular, serious consideration is being given to the possibility that leukocytes and cytokines may play key roles in normal ovarian physiology (2, 3).

Many investigators have documented the ovarian presence of different subsets of leukocytes, i.e. neutrophils, macrophages, lymphocytes, and eosinophils at different phases of the ovarian life cycle in various animal species (4, 5, 6, 7). Special mention is made of the evidence for a large influx of leukocytes (both macrophages and neutrophils) into the ovary in apparent response to the LH surge (3). Thus, ovarian leukocytes and their secreted products may constitute integral components of the ovulatory cascade. An equally important influx of monocytes into the corpus luteum characterizes the late postovulatory phase (8).

As is evident from the above, the ovary is not an immunologically privileged site. That is to say, an increase in leukocyte density within the ovary during the periovulatory and postovulatory periods can only occur as a result of influx of such cells. Thus, leukocytes are inevitably being attracted away from the circulation and into the ovary, presumably by way of local, possibly intraovarian, chemoattractants. Candidate local chemoattractants, which may be involved in the periovulatory and postovulatory influx of leukocytes, may include a family of small cytokines, also known as chemokines.

Over the last 5–10 yr, chemotactic cytokines (or chemokines) have been discovered with increasing frequency. Chemokines constitute a family of structurally related, small, inducible, secreted proinflammatory cytokines involved in a variety of immune responses especially as chemoattractants and activators of specific types of leukocytes (9). Approximately 40 chemokines, grouped in distinct families, are known to date. Chemokines are secreted by a variety of cells and thus appear to play important roles in many inflammatory reactions.

There is a growing body of evidence that chemokines may be directly or indirectly involved in follicular development, ovulation, as well as in corpus luteum formation, function, and demise (10). The expression of IL-8, monocyte chemotactic protein-1 (MCP-1), and growth-regulated oncogene {alpha} (GRO-{alpha}) has been reported for the human follicular fluid compartment and for human granulosa/lutein cell cultures (11, 12, 13, 14, 15). In addition, IL-8 appears to be essential to human CG (hCG)-induced ovulation in the rabbit (16, 17, 18). Human granulosa cell IL-8 secretion may also be induced by gonadotropins (19). Finally, several investigators have demonstrated that MCP-1 may play a role in the function of the corpus luteum of the rat (20, 21, 22) and other species (23, 24, 25).

We postulate that ovarian chemokines may influence the periovulatory and postovulatory influx of leukocytes. Our objectives were to determine which chemokines (for which the rat or mouse sequences were known) are present in the rat ovary and to assess whether any of those intraovarian chemokines is the subject of cyclic hormonal regulation.


    Materials and Methods
 Top
 Abstract
 Introduction
 Materials and Methods
 Results
 Discussion
 References
 
Animals
Immature Sprague Dawley female rats (Zivic-Miller Laboratories, Inc., Zelienople, PA) were used throughout all experiments. The project was approved by the Institutional Animal Care and Use Committee of the University of Utah.

In vivo treatment paradigm
Intact 25-d-old female rats were injected ip with 15 IU of PMSG (2100 IU/mg; Sigma, St. Louis, MO). Ovulation was triggered using 15 IU of highly purified hCG (2500 IU; Sigma) 48 h later. Rats were killed at a time point concordant with PMSG injection (control/untreated), hCG injection (hCG0), as well as 2, 4, 6, 8, 10, 12, 24, and 48 h after hCG administration (hCG2–48 h). At each time point, the ovaries were removed and immediately flash-frozen in liquid nitrogen and stored at -80 C until subsequent processing. The treatment paradigm was repeated twice for a total of three independent experiments.

Construction of control synthetic genes: a template for the quantification of rat ovarian chemokines
Two synthetic genes (ChemoI, ChemoII; Fig. 1Go), comprising 5' and 3' primer sequences, were constructed by the technique of oligonucleotide overlap extension and followed by PCR amplification as previously described (26, 27). Briefly, 0.5 µg each of the oligonucleotides (~100 bp) with overlapping ends were mixed in a standard PCR reaction (100 µl). The reaction mixture consisted of 50 nM KCl, 10 mM Tris-HCl, pH 8.0, 1.5 mM MgCl 2, 200 µM deoxy-nucleotide triphosphates, and 2.5 U of Pfu DNA polymerase (Stratagene, La Jolla, CA). The reaction was denatured at 94 C for 7 min, annealed at 55 C for 2 min, and extended at 72 C for 3 min for one cycle. This, in turn, was followed by seven additional cycles, the denaturation step being reduced to 1.5 min. In the second step, 1 µl of the first PCR product was used as template for the second PCR reaction. Specifically, two primers (0.5 µM each) spanning the 5' and 3' ends of the template formed in the first reaction were added to the standard PCR mixture and amplified for 25 cycles (denatured at 94 C for 1 min, annealed at 55 C for 1 min, and extended at 72 C for 1 min). The resultant PCR products were resolved using ethidium bromide-stained 2% agarose gel electrophoresis, purified, cloned into pBluescript II KS+ (Stratagene), and sequence-verified.



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Figure 1. Structure of the Chemo I and Chemo II control plasmids. The two plasmids contain 5' primers of target chemokine genes connected in sequence followed by the complementary sequences of the 3' primers in the order shown. A restriction enzyme linker was placed between the 5' and 3' sequences. The plasmids, Chemo I and II, are 494 and 590 bp in length, respectively.

 
RT-PCR and RT-competitive-PCR
Total cellular RNA from the ovaries of three rats at each time point were pooled together and extracted using the SV Total RNA Isolation System (Promega Corp., Corp., Madison, WI). The first strand of cDNA was synthesized from 1 µg of total RNA using 200 U of the Moloney murine leukemia virus reverse transcriptase (RT; Life Technologies, Inc., Gaithersburg, MD), applied for 1 h at 37 C after oligo(deoxythymidine) priming. Aliquots of the first strand reaction (1 µl) were used as templates for subsequent PCR and competitive PCR reactions.

PCR amplification was performed using the appropriate rat-specific sense and antisense primers for the gene under study (Table 1Go). The sense and antisense primer sequences for the chemokines MCP-3, macrophage inflammatory protein 1{gamma} (MIP-1{gamma}), exodus-2, T cell activation gene 3 (TCA-3), fractalkine, and C10 were mouse specific. For competitive PCR, increasing molar concentrations of synthetic control DNA (Chemo I or II) were added to the cDNA derived from tissues obtained at the appropriate time points.


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Table 1. Oligonucleotides used to amplify target cDNA and competitor fragment DNA

 
Each PCR reaction mixture (25 µl) contained 0.2 µM of each primer, 0.75 U Taq DNA Polymerase (Perkin-Elmer Corp., Norwalk, CT), 1.5 mM MgCl2, 0.2 mM deoxy-nucleotide triphosphate, and 10x reaction buffer. Amplification was performed under optimal annealing conditions as predetermined for each primer pair. After the final amplification, the reaction was elongated for an additional 7 min at 72 C.

A positive control was derived from spleen tissue samples obtained from rats subjected to ip treatment with lipopolysaccharide (LPS; Sigma). Negative controls consisted of PCR mixtures with the relevant primers wherein water was substituted for cDNA or wherein RT was omitted during the cDNA synthesis. The identities of positive bands were confirmed by direct sequencing of the PCR products.

Quantitative analysis of chemokine amplicons
Quantification was performed as previously described (28). PCR products (10 µl) were electrophoresed in 1.8% agarose gels containing ethidium bromide, visualized with UV, and digitally photographed with a gel documentation system (Bio-Rad Laboratories, Inc., Hercules, CA). The quantities of the competitor and target cDNA were compared using the Molecular Analyst software (Bio-Rad Laboratories, Inc.). The log of the ratio (target/competitor) was plotted against the log of the competitor concentrations using CricketGraph 3 program (Computer Associates International, Inc., Islandia, NY). A linear regression for each curve was calculated. The data generated from these curves were used to extrapolate the number of molecules in each sample. Calculated amounts of PCR products, as determined by competitive PCR, were corrected by the amounts of the calculated ß-actin PCR product. Two separate competitive PCR amplifications were performed for each pooled RNA sample.

Statistical analysis
Quantitative results concerning intraovarian ß-actin concentration and chemokine fold expression are expressed as the mean with SD per time point. Statistical analyses were performed by using ANOVA fitted for the time points, the experimental animal sets (3) and the repetitive competitive PCR amplifications nested within each animal set (two separate PCRs for each animal set) as covariates. For the data sets found to be significant, a comparison between control and the significant time points was performed using Dunnett’s adjustment for multiple comparisons (29). Significance of the data sets was determined by comparison of the control and significant time points by Dunnett’s adjustment for multiple comparisons (29). All statistical analyses were performed with the SAS statistical program (SAS Institute, Inc., Cary, NC). A P value of <0.05 was considered significant.


    Results
 Top
 Abstract
 Introduction
 Materials and Methods
 Results
 Discussion
 References
 
Preovulatory expression of chemokines in the rat ovary
To assess the preovulatory ovarian expression of the chemokine under study, ovaries were obtained from PMSG-primed rats 6 h post hCG and processed for RT-PCR as described. Chemokine transcripts belonging to all four families of chemokines were expressed in the preovulatory ovary (Table 2Go). In contrast, other chemokines (C10, TCA-3, exodus, exodus-2, cytokine-induced neutrophil chemoattractant-2, MIP-2, and LPS-induced C-X-C), belonging to the CC and CXC families, although clearly expressed in the rat spleen (positive control, data not shown), could not be detected in the PMSG-primed rat ovary (6 h post hCG).


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Table 2. Expression of chemokine transcripts in the ovary

 
Rat ovarian expression of ß-actin throughout a simulated/superovulated cycle
To establish possible cyclic variation in ovarian chemokine expression, use was made of the housekeeping gene ß-actin as a putative normalizing probe for cDNA concentrations. As a normalizing probe, ß-actin must show no variation in ovarian expression during the simulated cycle. As shown (Fig. 2Go), superovulation did not significantly affect the expression of ß-actin in the rat ovary, thereby validating this housekeeping gene as a normalizing probe for the experimental settings under study.



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Figure 2. Cyclic expression of ß-actin in the rat ovary. The expression of ß-actin was quantified by using RT-competitive PCR. Ovaries of 25-d-old immature rats were obtained from unstimulated (control), PMSG (15 IU ip)-injected (48 h), or PMSG (15 IU ip)-injected/hCG (15 IU ip)-triggered animals 48 h later (2–48 h after hCG). RNA was extracted, reverse-transcribed into cDNA and subjected to competitive PCR as described. Quantification was performed as described in Materials and Methods. Data depict, in bar graph form, the mean concentration (pg/µl) of ß-actin transcripts ± SD of three independent experiments. *, P < 0.05 vs. control (unstimulated).

 
Up-regulated expression of chemokines in the preovulatory rat ovary
Competitive PCR was performed as described to quantify possible cyclic variation in the ovarian expression of the chemokines under study. As shown (Fig. 3Go), the ovarian expression of MCP-1 significantly (P < 0.05) increased (18-fold) 6 h after hCG administration as compared with control. Ovarian MCP-3 transcripts (Fig. 4Go) were similarly and significantly (P < 0.05) increased (12-fold) at the 2- and 6-h time points post hCG. GRO also displayed significantly (P < 0.05) increased ovarian expression relative to the control at distinct preovulatory time points [at 4 h (25-fold) and 6 h (26-fold) after hCG]. In contrast, two other chemokines (Fig. 4Go), interferon-inducible protein of 10 kDa (IP-10) and fractalkine, displayed ovarian expression at preovulatory time points although not statistically significant (Fig. 4Go). Eotaxin, a chemokine predominantly involved in attracting eosinophils, displayed no statistically significant change from the control (Fig. 5Go). The ovarian expression of RANTES (regulated upon activation normal T cell expressed and secreted) also did not significantly vary relative to the control (Fig. 6Go).



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Figure 3. MCP-1 gene expression in the rat ovary. The expression of MCP-1 was quantified by using RT-competitive PCR. Ovaries of 25-d-old immature rats were obtained from unstimulated (control), PMSG (15 IU ip)-injected (48 h), or PMSG (15 IU ip)-injected/hCG (15 IU ip)-triggered animals 48 h later (2–48 h after hCG). RNA was extracted, reverse-transcribed into cDNA and subjected to competitive PCR as described in Materials and Methods. Ten microliters of the PCR reactions were electrophoresed through 1.8% agarose gels and visualized with ethidium bromide. Quantification was performed as described in Materials and Methods. The top panel depicts in bar graph form the fold expression relative to control ± SD of three independent experiments. *, P < 0.05 vs. control (unstimulated). A representative gel is shown below the bar graph. Each group of five gel lanes corresponds to the competitive PCR for a particular time point. Five serial logarithmic dilutions of the synthetic competitive DNA and a fixed amount of first strand cDNA were coamplified. The amplified MCP-1 product (upper band) is 312 bp and the competitor (lower band) is 205 bp.

 


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Figure 4. MCP-3, IP-10, GRO, and fractalkine gene expression in the rat ovary. The expression of MCP-3, IP-10, GRO, and fractalkine was quantified by using RT-competitive PCR as described in Fig. 3Go. The four panels depict in bar graph form the fold expression relative to control ± SD of three experiments. *, P < 0.05 vs. control (unstimulated).

 


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Figure 5. Eotaxin gene expression in the rat ovary. The expression of eotaxin was quantified by using RT-competitive PCR as described in Fig. 3Go. The top panel depicts in bar graph form the fold expression relative to control ± SD of three experiments. A representative gel is shown below the bar graph. *, P < 0.05 vs. control (unstimulated). Each group of five gel lanes corresponds to the competitive PCR for a particular time point. Five serial logarithmic dilutions of the synthetic competitive DNA and a fixed amount of first strand cDNA were coamplified. The amplified MCP-1 product (upper band) is 369 bp, and the competitor (lower band) is 246 bp.

 


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Figure 6. RANTES gene expression in the rat ovary. The expression of RANTES was quantified by using RT-competitive PCR as described in Fig. 3Go. The top panel depicts in bar graph form the fold expression relative to control ± SEM. *, P < 0.05 vs. control (unstimulated). A representative gel is shown below the bar graph. Each group of five gel lanes corresponds to the competitive PCR for a particular time point. Five serial logarithmic dilutions of synthetic competitive DNA and a fixed amount of first strand cDNA were coamplified. The amplified RANTES product (lower band) is 105 bp, and the competitor (upper band) is 179 bp.

 
Expression of chemokines in the postovulatory rat ovary
The ovarian expression of MCP-3, fractalkine, and eotaxin was detected at 48 h after hCG administration, a point in time corresponding to the diestrous stage of the unstimulated estrous cycle. Although not reaching statistical significance, MCP-1, IP-10, GRO, and RANTES displayed ovarian expression at the 48-h-post-hCG time point.


    Discussion
 Top
 Abstract
 Introduction
 Materials and Methods
 Results
 Discussion
 References
 
The experiments presented herein were designed to ascertain the expression of members of the chemokine family in the rat ovary and to assess their hormonal dependence and cyclic variation.

We initially concentrated our efforts on identifying which chemokines were expressed in the PMSG-primed rat ovary 6 h post hCG. This time point was chosen to focus on identifying chemokines expressed in the preovulatory ovary. In line with previous reports (20, 21, 22), MCP-1, a member of the CC chemokine group, was detected in the rat ovary. Additionally, we report, to the best of our knowledge, for the first time, the expression of other members of the CC chemokine group including MCP-3, MIP-1{alpha}, MIP-1ß, MIP-1{gamma}, RANTES, and eotaxin in the rat ovary. Furthermore, representative chemokines, not previously reported, from other chemokine families (C, CXC, CX3C) were also detected in the ovary. Several of the chemokines studied (C10, TCA-3, exodus, exodus-2, cytokine-induced neutrophil chemoattractant-2, MIP-2, and LPS-induced C-X-C) belonging to the CC and CXC families, however, could not be detected in the preovulatory rat ovary by RT-PCR analysis. Our results thus suggest that chemokines from all four chemokine families are expressed in the preovulatory rat ovary and may thus play a role in ovarian physiology.

It is recognized that additional chemokines belonging to all four chemokine families may be expressed in the rat ovary. The initial screening for ovarian chemokines using the PMSG-primed rat ovary 6 h post hCG may have limited the identification of chemokines expressed primarily in the postovulatory phase of the ovarian cycle and as such may constitute a relative shortcoming of this study.

To further assess the role chemokines may play in normal ovarian physiology, we evaluated the cyclic ovarian expression of the ovary-positive chemokines during a simulated estrous cycle. The CC chemokine, MCP-1, displayed an 18-fold increase in its ovarian expression 6 h after hCG administration when compared with the control unstimulated state (Fig. 3Go). MCP-3, a CC chemokine related to MCP-1, also displayed increased (12-fold) preovulatory ovarian expression (Fig. 4Go). The CC chemokines, similar in their DNA sequences, are distinguished by the first two conserved cysteine residues, which are adjacent to each other (9). The CC chemokines predominantly attract leukocytes of the monocyte/macrophage lineage. Given the preovulatory increase in the ovarian expression of MCP-1 and MCP-3, our data suggest that the leukocyte influx into the ovary during ovulation may be due, in part, to the preovulatory increase in the ovarian expression of the above CC chemokines. Indeed, the timing of the increased expression of the CC chemokines appears related to the LH surge (simulated by hCG in the current experiments). Taken together, CC chemokines may constitute intermediary modulators responsible for attracting leukocytes into the ovary following the initiation of the mid-cycle LH surge.

In addition to the CC chemokines, a CXC chemokine was also ascertained to display increased preovulatory ovarian expression. In contrast to the CC chemokines, the CXC chemokines are distinguished by the separation of the first two-cysteine residues of the mature protein by a single amino acid. A neutrophilic attractant, GRO, displayed markedly increased preovulatory ovarian expression (25-fold over control, Fig. 4Go). Our results are similar to the findings of Ushigoe et al. (30) demonstrating increased ovarian mRNA expression of GRO at 6 h post hCG. GRO was also previously detected in human follicular fluid and implicated in the recruitment of leukocytes to the preovulatory human follicle (15). These data suggest that the leukocytic influx occurring during ovulation may be attributable, in part, to both CC and CXC chemokines and that the leukocytic cells attracted may be derived from several different lineages including monocytes, lymphocytes, and neutrophils.

In contrast to the elevated preovulatory expression levels of GRO, eotaxin, a CXC chemokine and an eosinophilic attractant, displayed a constant ovarian expression pattern throughout the estrous cycle (Fig. 5Go). Although the exact role of eotaxin in ovarian physiology is unknown, the steady-state levels of this CXC chemokine may be required to maintain the resident eosinophils of the ovary. This possible ovarian role of eotaxin is further evidenced by the constitutive presence of eosinophils, which appear to depend on eotaxin as demonstrated by its targeted disruption (31).

Chemokines belonging to two other families, the C and CX3C families, were also investigated for possible temporal fluctuations in their ovarian expression patterns during a simulated estrous cycle. Fractalkine, a CX3C chemokine, displayed a constant level of ovarian expression (Fig. 4Go). The ovarian expression of lymphotactin, a C chemokine, however, could not be measured accurately by competitive PCR due to low expression levels (data not shown). Both of these chemokines may, in concert with the other previously mentioned chemokines, account for the influx of leukocytes into the ovary as observed after the LH surge.

The data suggesting ovarian expression of MCP-1 (Fig. 3Go) and RANTES (Fig. 6Go) during the postovulatory phase of the ovarian cycle are consistent with the previous detection of MCP-1 in rat corpora lutea (20, 21, 22) and of RANTES in bovine corpora lutea (32). Our data, i.e. an absent preovulatory increase in the ovarian expression of RANTES, are consistent with the findings of Karstrom-Encrantz and colleagues (15) in which low levels of RANTES were observed in human follicular fluid. Therefore, the ovarian expression of MCP-1 and RANTES in the postovulatory phase suggests a role for these chemokines in mediating the recruitment of monocytes/macrophages into the regressing corpus luteum, an established physiologic phenomenon (3, 5, 8, 22).

Our findings of widely different ovarian expression levels of various chemokines (Figs. 3Go and 4Go) may be responsible for the differential recruitment of subpopulations of leukocytes at different phases of the ovarian life cycle. Chemokine expression levels have been demonstrated to be differentially regulated in human endothelial and colon epithelial cells and may be responsible for the various types of leukocytes recruited during an inflammatory response (33, 34). Functional groups of chemokines may coordinate the recruitment of leukocyte subsets and generate complete inflammatory response (35).

In conclusion, we have provided evidence that chemokines from all four families are expressed in the rat ovary. Furthermore, the ovarian expression of MCP-1, MCP-3, and GRO is increased during time points corresponding to the periovulatory window of the estrous cycle. In contrast, the ovarian expression of eotaxin and fractalkine throughout the estrous cycle proved relatively constant. The expression of MCP-1 and RANTES was increased during the postovulatory phase. These observations suggest that chemokines may be responsible for the intraovarian accumulation of leukocytes as depicted in Fig. 7Go, both in and around ovulation as well as during corpus luteum regression, and as such may be intimately involved in the normal physiology of the ovarian life cycle.



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Figure 7. Summary of introvarian chemokine expression patterns. Resident white blood cells are present in the interstitial ovarian compartment (A). Following the LH surge, there is an increased infiltration of white blood cells culminating in the release of the oocyte (B, C). Postovulatory, the number of white blood cells increases and eventually the white blood cells invade the corpus luteum (D). The intraovarian expression of the chemokines MCP-1, MCP-3, and GRO corresponds with the increased numbers of white blood cells following the LH surge. The postovulatory intraovarian expression of MCP-1 and RANTES may lead to the accumulation of white blood cells in the corpus luteum. The constant expression of intraovarian eotaxin may be necessary to maintain ovarian eosinophilia.

 


    Acknowledgments
 
The authors would like to acknowledge Dr. Aniko Szabo, Biostatistics Resource at the Huntsman Cancer Institute, for her invaluable help with the statistical analysis. In addition, the authors would like to thank Ms. Michelle Lewandowski for her administrative assistance in the preparation of this manuscript.


    Footnotes
 
This work was supported, in part, by NIH Research Grant HD-30288 (to E.Y.A.).

1 Current address: Department of Obstetrics and Gynecology, Hokkaido University School of Medicine, North 15 West 6 Kitaku, Sapporo City, 606 Japan. Back

Abbreviations: GRO, Growth-regulated oncogene; hCG, human CG; IP-10, interferon-inducible protein of 10 kDa; LPS, lipopolysaccharide; MCP-1, monocyte chemotatic protein 1; MIP1, macrophage inflammatory protein 1; RANTES, regulated upon activation normal T cell expressed and secreted; RT, reverse transcriptase; TCA, T cell activation gene.

Received July 31, 2001.

Accepted for publication November 20, 2001.


    References
 Top
 Abstract
 Introduction
 Materials and Methods
 Results
 Discussion
 References
 

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