All experimental procedures in the present study were conducted in accordance with the National Institutes of Health Guide for the Care and Use of Laboratory Animals and were approved by the Institutional Animal Care and Use Committee (Approval No. IACUC-2023-0156).
Animals
Female Sprague-Dawley rats (n = 24, 6 weeks old, body weight 180–200 g) were obtained from the Laboratory Animal Center of the affiliated institution and housed under controlled environmental conditions (temperature 22 ± 2°C, humidity 50 ± 10%, 12-hour light/dark cycle) with ad libitum access to standard rodent chow and purified water. Following a one-week acclimatization period, animals were randomly assigned to three experimental groups (n = 8 per group): Control, PCOS Model, and ZeLan treatment. Sample size was determined based on previous studies investigating gut microbiota alterations in PCOS models, with power analysis indicating that 8 animals per group would provide 80% power to detect a 1.5-fold difference in alpha diversity indices at α = 0.05.
PCOS model establishment and treatment protocol
The PCOS model was established using a well-validated protocol involving subcutaneous injection of dehydroepiandrosterone (DHEA; Sigma-Aldrich, USA) dissolved in sesame oil into the dorsal neck region at a dose of 6 mg/100 g body weight daily for 21 consecutive days. Control animals received equivalent volumes of sesame oil vehicle. The full experimental timeline comprised 7 days of acclimatization, 21 days of model induction, and 28 days of intervention, with endpoint sampling on protocol day 56, including the acclimatization period (Figure 1). The ZeLan extract was prepared from authenticated Lycopus lucidus Turcz. herb through aqueous extraction and was standardized to contain total flavonoids at no less than 2.5% by high-performance liquid chromatography, which served as the chemical quality-control criterion for the botanical extract. Beginning after completion of DHEA-induced model establishment, rats in the ZeLan group received oral gavage of ZeLan extract at 200 mg/kg body weight daily for 28 consecutive days, while the Control and Model groups received equivalent volumes of distilled water. The 200 mg/kg dose was selected as an exploratory pharmacological dose based on prior animal-use experience with botanical extracts and preliminary tolerability considerations; formal dose-response evaluation was not part of the present design. Body weight was recorded weekly throughout the experimental period. In this experimental design, successful PCOS model establishment was evaluated using the DHEA induction protocol together with endpoint endocrine and metabolic phenotypes, including body weight, serum testosterone, LH/FSH ratio, and fasting insulin. Ovarian histopathological examination, follicle counting, corpus luteum quantification, and serial estrous-cycle monitoring were not included as model-confirmation endpoints, and the interpretation of ovarian dysfunction was therefore based on endocrine and metabolic readouts rather than direct tissue-level assessment.
Sample collection and processing
Samples (serum and feces) were collected from all three groups (n = 8 per group) for subsequent biochemical, microbiota, and metabolomics analyses. Endpoint collections were performed in the morning after overnight fasting to reduce circadian and feeding-related variability. Blood samples were collected from the abdominal aorta under anesthesia and centrifuged at 3,000 × g for 15 minutes at 4°C to obtain serum, which was aliquoted and stored at -80°C until hormone and metabolomic analyses. Fresh fecal samples were collected directly from the cecum under aseptic conditions into sterile cryotubes, kept on dry ice during transfer, snap-frozen in liquid nitrogen within 10 minutes of collection, and stored at -80°C until 16S rRNA gene sequencing.
Serum hormone measurements
Serum concentrations of testosterone, luteinizing hormone (LH), follicle-stimulating hormone (FSH), and insulin were quantified using commercially available enzyme-linked immunosorbent assay (ELISA) kits (Cusabio Biotech, Wuhan, China) according to the manufacturer's instructions. The LH/FSH ratio was calculated as a composite index of gonadotropin imbalance characteristic of PCOS. All samples were analyzed in duplicate, and measurements with duplicate coefficients of variation greater than 15% were repeated. The intra-assay and inter-assay coefficients of variation were required to remain below 10% and 15%, respectively. Potential outliers were screened against source records and assay performance information, and no value was excluded solely on statistical grounds without a documented technical reason.
16S rRNA gene sequencing and bioinformatic analysis
Total bacterial genomic DNA was extracted from cecal contents using the QIAamp DNA Stool Mini Kit (Qiagen, Germany) following the manufacturer's protocol. DNA quality and quantity were assessed using NanoDrop spectrophotometry and agarose gel electrophoresis, and DNA extracts were stored at -80°C before library construction. The V3-V4 hypervariable regions of the 16S rRNA gene were amplified using universal primers 338F (5'-ACTCCTACGGGAGGCAGCA-3') and 806R (5'-GGACTACHVGGGTWTCTAAT-3') with Illumina adapter sequences. Amplicon libraries were constructed, purified, quantified, pooled in equimolar concentrations, and sequenced on the Illumina NovaSeq 6000 platform (Novogene, Beijing, China) using paired-end 250 bp reads.
Raw sequencing reads were processed using the QIIME2 (version 2022.2) pipeline. Paired-end reads were demultiplexed, merged, quality-filtered using a Phred score threshold of at least 20, and processed with DADA2 to remove chimeric sequences and generate amplicon sequence variants (ASVs). Taxonomic classification was performed against the SILVA 138 reference database using a naive Bayes classifier. Alpha diversity metrics, including Shannon index, Simpson index, and Chao1 estimator, were calculated to assess within-sample diversity and richness. Sequencing-depth outputs, including read summaries, ASV abundance tables, Good's coverage, and rarefaction-curve files, were treated as part of the microbiome dataset described in the Data Availability section. Linear discriminant analysis effect size (LEfSe) was used to identify disease-associated taxa in the Control versus Model comparison using an LDA score threshold greater than 2.0 and P < 0.05; ZeLan-associated reversal was evaluated by comparing the direction of taxonomic abundance shifts in the ZeLan group relative to the Model group.
Untargeted metabolomics analysis
Serum metabolomic profiling was performed using ultra-high-performance liquid chromatography coupled with quadrupole time-of-flight mass spectrometry (UHPLC-Q-TOF-MS; Agilent 1290 Infinity II/6550, USA). Serum samples (100 μL) were mixed with 400 μL of cold methanol: acetonitrile (1:1, v/v) containing internal standards, vortexed, and incubated at -20°C for 1 hour to precipitate proteins. Following centrifugation at 14,000 × g for 15 minutes, the supernatants were dried under a nitrogen stream and reconstituted in 100 μL of acetonitrile:water (1:1, v/v) for analysis. Chromatographic separation was achieved on an ACQUITY UPLC HSS T3 column (2.1 × 100 mm, 1.8 μm) maintained at 40°C, using water containing 0.1% formic acid as mobile phase A and acetonitrile containing 0.1% formic acid as mobile phase B at a flow rate of 0.30 mL/min. A gradient program increasing the organic phase from 5% to 95%, followed by column washing and re-equilibration, was used for metabolite separation. Mass spectrometric data were acquired in both positive and negative electrospray ionization modes with a scan range of m/z 50–1200; the source parameters included capillary voltage 3.5 kV, drying gas flow 10 L/min, drying gas temperature 325°C, nebulizer pressure 35 psi, and fragmentor voltage 120 V.
Raw data files were converted to mzXML format and processed using the XCMS package in R for peak detection, retention-time alignment, and peak-area integration. Quality-control samples prepared by pooling equal aliquots of all serum extracts were inserted throughout the analytical sequence to monitor instrument stability. Features with excessive missingness or unstable quality-control reproducibility were removed before statistical modeling. Metabolite identification was performed by matching accurate mass, retention time, and MS/MS fragmentation patterns against the Human Metabolome Database (HMDB), METLIN, and in-house spectral libraries. Multivariate statistical analyses were conducted using MetaboAnalyst 5.0. Metabolite features retained for downstream reporting were prioritized using a combined criterion that incorporated multivariate discriminatory contribution, fold-change direction, and statistical evidence; P values were adjusted using the Benjamini-Hochberg method to account for multiple testing. The complete annotated reporting table, containing 52 metabolite features, is provided as Supplementary Table 1. Pathway enrichment analysis was performed using the Kyoto Encyclopedia of Genes and Genomes (KEGG) database.
Statistical analysis
All statistical analyses were performed using SPSS version 26.0 (IBM Corporation, Armonk, NY, USA) and R software (version 4.2.1). Continuous data were expressed as mean ± standard deviation (SD) and were assessed for normality using the Shapiro-Wilk test before inferential testing. For normally distributed data, one-way analysis of variance (ANOVA) followed by Tukey's post hoc test was used for multiple-group comparisons; for non-normally distributed data, the Kruskal-Wallis test with Dunn's post hoc test was used. Correlations between gut microbial taxa and serum metabolites were evaluated using Spearman's rank correlation coefficient and visualized as hierarchically clustered heatmaps. Correlation P-values were adjusted for multiple testing using the Benjamini-Hochberg false-discovery rate method, and only correlations that were consistent in direction and statistically significant were interpreted. A two-tailed P-value < 0.05 was considered statistically significant unless an adjusted P-value threshold was specified.