Prostaglandin-E2 9-reductase (PGE2 9-reductase) is a cytosolic, NADPH-dependent enzyme belonging to the aldo-keto reductase superfamily. In rabbit tissues, this enzyme has a molecular mass of approximately 36 kDa in the corpus luteum, though its mass varies in other tissues. The enzyme's primary function is catalyzing the reduction of the 9-keto group of PGE2 to form PGF2α, serving as a critical regulator of prostaglandin metabolism .
The physiological significance of this enzyme lies in its role in reproductive function. PGE2 9-reductase exhibits dual catalytic functionality, acting both as a PGE2 9-reductase and as a 20 alpha-hydroxysteroid dehydrogenase (20 alpha-HSD). This dual activity creates a direct biochemical link between prostaglandin and steroid metabolism . The enzyme appears to be a key factor in the cascade of events leading to corpus luteum regression in rabbits, particularly through controlling the balance between luteotropic PGE2 and luteolytic PGF2α .
PGE2 9-reductase demonstrates significant tissue specificity in rabbits, with distinct biochemical properties observed between different tissues. This tissue specificity suggests specialized adaptations for local functional requirements.
| Parameter | Corpus Luteum | Kidney |
|---|---|---|
| Molecular Weight | 36 kDa | 21.8 kDa |
| Cofactor Requirement | NADPH-dependent | NADPH-dependent |
| Localization | Cytosolic | Renal cortex, cytosolic |
| Isoelectric Point | Not specified in data | pH 5.65 |
| pH Optimum | Not specified in data | pH 7.5 |
| Km for PGE2 | Not specified in data | 3.2 × 10⁻⁴ M |
| Additional Activity | 20 alpha-HSD activity | Not reported |
The renal enzyme is localized specifically in the renal cortex and demonstrates a broad pH profile with an optimum at pH 7.5. Kinetic studies of the kidney enzyme indicated a Km of 3.2 × 10⁻⁴ M for PGE2 . These differences in molecular weight and kinetic parameters between the corpus luteum and kidney enzymes strongly suggest that these are either different isoforms or the same protein with tissue-specific post-translational modifications. The values also differ from those obtained with similar enzymes from monkey brain tissue, further indicating the tissue-specific nature of PGE2 9-reductase across different sources .
The activity of PGE2 9-reductase in rabbit corpus luteum follows distinct temporal patterns that differ between pregnancy and pseudopregnancy, suggesting a regulatory role in reproductive physiology:
In pseudopregnant rabbits:
PGE2 9-reductase activity is significantly elevated on Days 10, 12, and 15 post-ovulation compared to Day 8
This increased activity correlates with the period preceding corpus luteum regression, which occurs around Day 12 after hCG administration
In pregnant rabbits:
PGE2 9-reductase activity increases only on Day 12
Activity subsequently declines to basal levels on Days 13 and 15
A significant difference in enzyme activity is observed between pregnant and pseudopregnant animals on Day 15
These temporal changes in enzyme activity correlate with PGF2α concentrations, which parallel PGE2 9-reductase activity. The distinct patterns between pregnancy and pseudopregnancy suggest that the regulation of PGE2 9-reductase activity may be a key mechanism controlling corpus luteum lifespan and function in rabbits. This enzyme likely participates in regulating the PGF2α/PGE2 ratio, which is critical for determining whether the corpus luteum will persist (during pregnancy) or regress (during pseudopregnancy) .
When designing expression systems for recombinant rabbit PGE2 9-reductase, researchers should implement a systematic approach that addresses both gene optimization and expression conditions:
Gene and Vector Design:
Use codon optimization for E. coli expression, particularly considering that enzymes from eukaryotic sources often contain codons rarely used in E. coli
Select appropriate expression vectors (pET series vectors are commonly recommended for enzymes)
Include a removable affinity tag (His6 or GST) to facilitate purification
Consider fusion with solubility-enhancing partners (MBP, SUMO, or Trx) if initial expression yields inclusion bodies
Expression Host Selection:
BL21(DE) or Rosetta strains are preferred for enzyme expression
If inclusion bodies persist, consider specialized strains like Origami or SHuffle that enhance disulfide bond formation
For co-expression with chaperones, BL21(DE3) containing chaperone plasmids (e.g., pG-KJE8) can be employed
Expression Conditions Optimization:
Perform small-scale expression trials varying temperature (16-37°C), IPTG concentration (0.1-1 mM), and induction time (4-20 hours)
Lower temperatures (16-20°C) generally favor proper folding of aldo-keto reductases
Include cofactors (NADPH) in growth media to potentially enhance proper folding
Consider auto-induction media as an alternative to IPTG induction
The application of bioinformatics and modeling tools, used in only 19% of difficult-to-express enzyme studies, can significantly improve expression outcomes . Sequence alignment with successfully expressed homologs can identify potential problematic regions, while structural prediction tools can guide rational modifications to enhance solubility without compromising activity.
Based on successful purification strategies for native rabbit PGE2 9-reductase, the following multi-step protocol is recommended for the recombinant enzyme:
If His-tagged: Immobilized metal affinity chromatography (IMAC) using Ni-NTA resin
If tag-free: Red Sepharose CL-6B affinity chromatography, which proved highly effective for native enzyme purification
For Red Sepharose purification, implementation of a sequential elution strategy is critical:
Ion exchange chromatography based on the enzyme's predicted isoelectric point
Anion exchange (e.g., Q Sepharose) at pH 8.0 if the isoelectric point is below 7
Similar approach was effectively used for bovine placental PGE2 9-reductase
Size exclusion chromatography using Superdex 75 or equivalent
This step ensures removal of aggregates and separation from proteins of different molecular weights
Can also be used for buffer exchange into final storage buffer
Buffer Considerations:
Include 1-5 mM DTT or β-mercaptoethanol throughout purification
Add 10-20% glycerol to stabilize protein structure
Maintain pH between 7.0-8.0 based on stability data from native enzyme
Include 0.1-0.2 mM NADPH in storage buffer to maintain enzyme stability
This purification strategy can yield enzyme with >95% purity suitable for biochemical characterization and crystallization trials. When applied to the native corpus luteum enzyme, similar approaches achieved a 266-fold enrichment , while a 135-fold purification was reported for bovine placental enzyme .
Recombinant expression of enzymes like rabbit PGE2 9-reductase in E. coli frequently results in inclusion body formation. Several strategies can enhance solubility and proper folding:
Expression Condition Optimization:
Reduce expression temperature to 16-20°C after induction
Lower inducer concentration (0.1-0.2 mM IPTG)
Extend expression time (16-24 hours) at reduced temperature
Include osmolytes (5-10% glycerol, 0.5-1 M sorbitol) in culture medium
Genetic Modifications:
Co-express with molecular chaperones (GroEL/GroES, DnaK/DnaJ)
Fusion with solubility-enhancing partners (MBP, SUMO, Trx)
Remove hydrophobic regions or cysteine residues prone to misfolding
Create truncated constructs guided by bioinformatic domain prediction
Lysis and Extraction Optimization:
Use mild non-ionic detergents (0.1% Triton X-100) in lysis buffer
Include stabilizing agents (5-10% glycerol, 0.5 M arginine)
Add cofactors (NADPH) to promote proper folding during extraction
Consider enzymatic lysis (lysozyme) rather than sonication to minimize aggregation
Refolding Strategies (if inclusion bodies persist):
Solubilize inclusion bodies in 6 M guanidine hydrochloride
Employ step-wise dialysis with decreasing denaturant concentration
Include redox pairs (reduced/oxidized glutathione) to facilitate proper disulfide formation
Add molecular chaperones during refolding
A systems biology approach integrating bioinformatics and experimental data can significantly improve outcomes for difficult-to-express enzymes like PGE2 9-reductase . Predictive tools can identify problematic regions, while high-throughput screening of expression conditions can accelerate optimization. The relative scarcity of bioinformatics application in recombinant enzyme expression (19% of studies) suggests substantial opportunities for improvement using these advanced approaches .
Accurate measurement of recombinant rabbit PGE2 9-reductase activity requires carefully optimized assay conditions. Based on the biochemical properties reported for the native enzyme, the following methodological approaches are recommended:
Spectrophotometric NADPH Oxidation Assay:
Reaction buffer: 100 mM potassium phosphate, pH 7.5 (for kidney enzyme) or pH optimum determined empirically for recombinant enzyme
0.1-0.2 mM NADPH as cofactor (obligatory requirement for enzyme function)
PGE2 concentration range: 10-200 μM (consider Km value of 3.2 × 10⁻⁴ M for kidney enzyme)
Monitor decrease in absorbance at 340 nm (ε = 6,220 M⁻¹cm⁻¹)
Temperature: 25°C or 37°C, with appropriate controls
Include enzyme-free and substrate-free controls
Product Formation Assay:
Incubate enzyme with PGE2 and NADPH under conditions above
Extract products with ethyl acetate or solid-phase extraction
Analyze PGF2α formation by HPLC, LC-MS, or immunoassay
This approach confirms the actual conversion rather than just NADPH consumption
Alternative Substrate Assays:
For characterizing the dual functionality of the enzyme:
These alternative substrates can provide complementary information about enzyme function
Activity Calculations and Reporting:
Express activity as μmol product formed or NADPH consumed per minute per mg protein
For kinetic parameters, use non-linear regression to fit to Michaelis-Menten equation
Report both Vmax and Km values for each substrate tested
For the bovine placental enzyme, Vmax was 183 pmol/min for PGE2
These assay conditions should be optimized for the recombinant enzyme, as properties may differ slightly from native enzyme due to expression system effects, presence of affinity tags, or differences in post-translational modifications.
The substrate specificity of rabbit PGE2 9-reductase is remarkably broad, encompassing multiple classes of compounds. When characterizing recombinant enzyme, it's essential to compare its substrate profile with that of the native enzyme:
Primary Prostaglandin Activity:
PGE2 to PGF2α conversion (defining activity)
The native enzyme from kidney quantitatively converts PGE2 to PGF2α
Recombinant enzyme should maintain this primary activity with similar efficiency
Steroid Hormone Metabolism:
20α-HSD activity (reduction of progesterone)
Competitive inhibition between PGE2 and progesterone indicates they share the same binding site
This dual functionality creates a direct link between prostaglandin and steroid metabolism pathways
Other Carbonyl Substrates:
Aldehydes: methylglyoxal, DL-glyceraldehyde
Quinones: 9,10-phenanthrenquinone
The enzyme demonstrates wide substrate specificity for reducing various carbonyl compounds
Comparative Kinetic Parameters:
For proper comparison, kinetic parameters should be determined for multiple substrates:
The preservation of the dual catalytic activity (PGE2 9-reductase and 20α-HSD) is a critical quality control parameter for recombinant enzyme preparation. This unique characteristic distinguishes PGE2 9-reductase from many other enzymes and reflects its physiological significance in coordinating prostaglandin and steroid signaling pathways . Altered substrate preference in recombinant enzyme may indicate improper folding or structural differences from the native enzyme.
Inhibition studies provide valuable insights into the catalytic mechanism and substrate binding properties of recombinant rabbit PGE2 9-reductase. A comprehensive inhibition analysis should include:
Competitive Inhibition Analysis:
The competitive inhibition between PGE2 and progesterone observed in the native enzyme provides a key starting point
Design experiments with varying concentrations of both substrates to generate Dixon plots
Determine Ki values for each substrate when functioning as an inhibitor
This approach can confirm the shared binding site for prostaglandins and steroids in the recombinant enzyme
Cofactor Competition Studies:
Test NADH versus NADPH to confirm cofactor specificity
Determine if the strict NADPH dependence of the native enzyme is preserved in the recombinant form
Calculate Km values for both cofactors to quantify preference
Structural Analog Inhibition:
Test PGE1, PGE3, and other prostaglandin analogs as potential competitive inhibitors
Examine structure-activity relationships using various steroid hormone analogs
Use inhibition patterns to map the substrate binding pocket
Chemical Modification Studies:
Employ group-specific reagents to identify essential catalytic residues:
Diethylpyrocarbonate (histidine modification)
Iodoacetamide (cysteine modification)
N-ethylmaleimide (thiol modification)
Monitor activity loss to identify critical functional groups
pH-Dependent Inhibition:
Perform inhibition studies across pH range (6.0-9.0)
Identify ionizable groups involved in catalysis
Compare with pH profile of kidney enzyme (broad profile with optimum at pH 7.5)
Data Analysis and Interpretation:
Generate Lineweaver-Burk, Dixon, and Cornish-Bowden plots
Determine inhibition type (competitive, non-competitive, uncompetitive)
Calculate inhibition constants (Ki)
Create mechanistic models explaining dual catalytic activity
These inhibition studies should help elucidate whether the recombinant enzyme maintains the same catalytic mechanism as the native enzyme, particularly the competitive relationship between prostaglandin and steroid substrates that suggests their binding to the same active site . This characteristic competitive inhibition pattern serves as an important validation criterion for properly folded recombinant enzyme.
Site-directed mutagenesis represents a powerful approach for investigating the catalytic mechanism of recombinant rabbit PGE2 9-reductase. As a member of the aldo-keto reductase superfamily, specific residues can be targeted based on conserved sequences and catalytic mechanisms:
Target Residue Selection Strategy:
Identify the catalytic triad residues (typically Tyr, Lys, Asp/Glu in aldo-keto reductases)
Select NADPH-binding residues based on conserved motifs
Target residues in substrate binding pocket that might confer dual specificity
Choose residues based on sequence alignment with related enzymes and computational modeling
Experimental Design for Key Residues:
| Mutation Target | Substitution | Purpose | Expected Effect |
|---|---|---|---|
| Catalytic Tyr | Tyr→Phe | Test role of hydroxyl group | Reduced activity with preserved structure |
| Catalytic Lys | Lys→Arg | Assess charge importance | Altered pH dependence |
| NADPH binding | Arg/Lys→Gln | Test cofactor specificity | Changed NADPH affinity |
| Substrate binding | Hydrophobic→Ala | Map binding pocket | Altered substrate preference |
Dual Activity Investigation:
Create mutations that selectively affect either PGE2 reductase or 20α-HSD activity
Test if these activities can be uncoupled through strategic mutations
Investigate the structural basis for the competitive inhibition between PGE2 and progesterone
Experimental Workflow:
Generate mutants using overlap extension PCR or commercial site-directed mutagenesis kits
Express and purify mutant proteins following protocols optimized for wild-type enzyme
Characterize each mutant through:
Activity assays with multiple substrates
Determination of kinetic parameters (Km, kcat, kcat/Km)
pH-activity profiles
Inhibition studies
Data Interpretation Guidelines:
Compare catalytic efficiency (kcat/Km) between wild-type and mutants
Analyze changes in substrate preference ratios
Assess pH-dependence profiles for mechanistic insights
Correlate findings with structural models to develop comprehensive catalytic mechanism
This systematic mutagenesis approach will provide valuable information about the residues responsible for the unique dual functionality of rabbit PGE2 9-reductase and its classification as a member of the aldo-keto reductase superfamily . The findings can be correlated with the competitive inhibition observed between PGE2 and progesterone to develop a detailed understanding of how the same enzyme accommodates these structurally distinct substrates.
Computational modeling provides valuable tools for investigating the structure-function relationship of rabbit PGE2 9-reductase, particularly given its classification within the aldo-keto reductase superfamily and its dual catalytic activities:
Homology Modeling Approach:
Select appropriate templates from the aldo-keto reductase superfamily with solved crystal structures
Generate multiple models using tools like SWISS-MODEL, which has been successfully employed for similar enzymes
Refine models through energy minimization and molecular dynamics simulations
Validate models using Ramachandran plots, QMEAN scores, and comparison with experimental data
Substrate and Cofactor Binding Analysis:
Dock NADPH to establish the cofactor binding site
Perform comparative docking of PGE2 and progesterone to investigate dual substrate specificity
Analyze the binding modes of alternative substrates (9,10-phenanthrenquinone, methylglyoxal)
Identify key residues involved in substrate recognition and catalysis
Dual Activity Mechanism Investigation:
Simulate enzyme conformational changes upon binding different substrates
Analyze how the same active site accommodates structurally distinct substrates
Investigate the molecular basis for the competitive inhibition between PGE2 and progesterone
Predict residues that determine substrate preference
Integration with Experimental Approaches:
Design site-directed mutagenesis experiments based on computational predictions
Use models to interpret kinetic and inhibition data
Guide protein engineering efforts to modify substrate specificity
Assist in designing selective inhibitors for mechanistic studies
Advanced Computational Techniques:
Molecular dynamics simulations to study protein flexibility and substrate access
QM/MM methods to investigate the electronic aspects of the catalytic mechanism
Free energy calculations to determine binding energy differences between substrates
Consider applying modern neural network approaches like AlphaFold for improved structural prediction
The application of computational modeling represents an underutilized approach in recombinant enzyme research, with only 19% of studies employing bioinformatics and modeling tools . For rabbit PGE2 9-reductase, these techniques are particularly valuable for understanding how a single enzyme efficiently catalyzes reactions with structurally diverse substrates and the molecular mechanism behind the tight linking of prostaglandin and steroid metabolism observed in physiological contexts .
The unique dual catalytic activity of rabbit PGE2 9-reductase—functioning both as a PGE2 9-reductase and a 20 alpha-hydroxysteroid dehydrogenase—presents an intriguing structure-function relationship. Based on the available data, several structural features likely contribute to this dual functionality:
Active Site Architecture:
The enzyme must possess a sufficiently spacious and flexible binding pocket to accommodate both the prostanoid ring structure of PGE2 and the steroid skeleton of progesterone
The competitive inhibition observed between PGE2 and progesterone indicates they bind to the same active site
Key hydrophobic residues likely create a versatile binding pocket that can adapt to different substrate shapes
Catalytic Residues:
As a member of the aldo-keto reductase superfamily, the enzyme likely employs a conserved catalytic triad (Tyr, Lys, Asp/Glu)
These residues must be positioned to catalyze the reduction of both the 9-keto group of PGE2 and the 20-keto group of progesterone
The orientation of these catalytic residues likely allows the enzyme to accommodate different substrate binding modes
Cofactor Binding Domain:
The strict NADPH dependence (rather than NADH) observed in both rabbit kidney and corpus luteum enzymes indicates a specific cofactor binding domain
This domain must position the nicotinamide ring appropriately for hydride transfer to different substrate ketone groups
The binding orientation ensures proper stereochemistry of the reduction
Substrate Specificity Determinants:
The enzyme demonstrates broad substrate specificity beyond PGE2 and progesterone, including aldehydes, ketones, and quinones
This suggests that the binding pocket recognizes carbonyl functionalities in diverse chemical contexts
The varying affinity for different substrates (as indicated by the different Km values) suggests specific structural interactions that favor certain substrates
Evolutionary Significance:
The dual activity creates a direct link between prostaglandin and steroid metabolism pathways
This biochemical connection may have evolved to coordinate reproductive functions, particularly in regulating corpus luteum lifespan
The enzyme could serve as a molecular switch between different signaling pathways
This structure-function relationship has significant physiological implications, particularly in reproductive tissues. The ability of PGE2 9-reductase to interconvert signaling molecules from different pathways positions it as a potential key regulator in the cascade of events leading to corpus luteum regression in rabbits . Understanding these structural determinants could lead to the development of selective modulators for reproductive research and potentially therapeutic applications.
Recombinant rabbit PGE2 9-reductase provides a valuable research tool for investigating corpus luteum (CL) function and the molecular mechanisms governing its lifespan. Several experimental approaches can be implemented:
Temporal Expression Studies:
Use recombinant enzyme as a standard for quantifying native enzyme levels
Monitor PGE2 9-reductase expression throughout the CL lifespan in pregnant versus pseudopregnant rabbits
Correlate enzyme activity with the observed significant differences between pregnancy and pseudopregnancy, particularly on Days 10-15
This approach can clarify the role of PGE2 9-reductase in determining CL persistence or regression
PGE2/PGF2α Ratio Manipulation:
Use controlled amounts of recombinant enzyme in ex vivo CL tissue cultures
Manipulate local PGE2/PGF2α ratios through enzyme addition
Monitor effects on progesterone production and apoptotic markers
This can test the hypothesis that PGE2 9-reductase regulates CL lifespan by modulating the balance between luteotropic PGE2 and luteolytic PGF2α
Dual Activity Investigation:
Explore how the dual PGE2 9-reductase and 20α-HSD activities coordinate prostaglandin and steroid metabolism
Determine if these activities are differentially regulated during various reproductive states
Investigate how competitive substrate inhibition between PGE2 and progesterone influences local hormone concentrations
Interventional Studies:
Develop specific inhibitors based on recombinant enzyme studies
Apply these inhibitors in vivo to manipulate enzyme activity at specific timepoints
Monitor effects on CL lifespan, progesterone production, and pregnancy outcomes
This approach can establish causality between enzyme activity and physiological outcomes
Gene Expression Regulation:
Use insights from recombinant enzyme studies to investigate transcriptional and post-translational regulation
Identify factors that control the temporal patterns of enzyme activity
Study how hormone signaling pathways converge to regulate PGE2 9-reductase expression
These research applications directly address the enzyme's proposed role as "a key enzyme in the cascade of events leading to the regression of the corpus luteum in the rabbit" . By manipulating this enzymatic activity, researchers can gain deeper insights into the molecular mechanisms controlling reproductive cyclicity and potentially develop new approaches for managing fertility.
Developing specific inhibitors for rabbit PGE2 9-reductase presents several challenges that must be addressed through systematic research approaches:
Dual Activity Selectivity:
The enzyme's dual functionality (PGE2 9-reductase and 20α-HSD) complicates inhibitor design
Determining whether to target both activities or selectively inhibit one function
Need to understand if these activities share the same active site but with different substrate orientations
Competitive relationship between PGE2 and progesterone must be considered in inhibitor design
Structural Homology Challenges:
PGE2 9-reductase belongs to the aldo-keto reductase superfamily with many homologous enzymes
Achieving specificity against related enzymes requires detailed structural knowledge
Risk of off-target effects on other NADPH-dependent reductases
Need to identify unique structural features that distinguish rabbit PGE2 9-reductase
Tissue Specificity Considerations:
Different properties between corpus luteum and kidney enzymes (36 kDa vs 21.8 kDa)
Deciding whether to target all tissue variants or specific isoforms
Understanding if inhibitors will have tissue-specific effects
Potential for different inhibitor sensitivities between tissue variants
Methodological Approach for Inhibitor Development:
Structure-Based Design:
Generate computational models of enzyme based on aldo-keto reductase family structures
Perform virtual screening of compound libraries targeting the active site
Design transition state analogs that mimic the reaction intermediate
Substrate-Based Design:
Develop modified PGE2 or progesterone analogs that bind but resist catalysis
Create hybrid molecules incorporating features of both substrate classes
Exploit the competitive relationship between substrates
High-Throughput Screening:
Establish robust activity assays suitable for screening compound libraries
Screen natural product libraries for lead compounds
Implement counter-screens against related enzymes to assess specificity
Validation Strategy:
Test inhibitor effects on both PGE2 9-reductase and 20α-HSD activities
Determine inhibition mechanisms and constants
Evaluate specificity against related aldo-keto reductases
Assess cellular and tissue effects in reproductive models
Developing such inhibitors would provide valuable research tools for investigating the physiological significance of PGE2 9-reductase in corpus luteum function and potentially lead to novel approaches for modulating reproductive processes.
Recombinant rabbit PGE2 9-reductase offers an excellent platform for comparative enzymology studies across species, providing insights into evolutionary adaptation and species-specific reproductive physiology:
Cross-Species Enzyme Characterization:
Compare rabbit enzyme properties with bovine placental PGE2 9-reductase (45 kDa)
Examine differences in kinetic parameters between species:
Investigate differences in molecular weight across species and tissues:
Evolutionary Analysis:
Perform phylogenetic analysis of PGE2 9-reductase across mammalian species
Identify conserved catalytic residues versus variable substrate-binding regions
Correlate enzyme properties with species-specific reproductive strategies
Investigate how structural variations relate to differences in reproductive physiology
Reproductive Physiology Variations:
Compare enzyme activity patterns during pregnancy across species
Examine species differences in corpus luteum regression mechanisms
Investigate how the PGE2/PGF2α balance is regulated in different mammals
Study the relationship between enzyme activity and gestation length/implantation timing
Methodological Advantages:
Recombinant expression provides standardized enzymes for direct comparisons
Eliminates variability associated with tissue extraction and purification
Allows for creation of chimeric enzymes to identify species-specific functional domains
Enables site-directed mutagenesis to convert properties between species
Translational Applications:
Identify species-specific properties relevant to reproductive biotechnology
Develop targeted approaches for fertility control in various species
Apply insights to conservation efforts for endangered species
Translate findings to veterinary and potentially human reproductive medicine
This comparative approach using recombinant enzymes can reveal how PGE2 9-reductase has evolved to meet the specific reproductive requirements of different species. The variations in enzyme properties between rabbit tissues (corpus luteum vs. kidney) and between species (rabbit vs. bovine) suggest significant evolutionary adaptation of this enzyme to fulfill species-specific and tissue-specific functions in prostaglandin metabolism and reproductive physiology.