Dataset of P. gingivalis/F. nucleatum in CAP Promote Shortened Gestation Period

This dataset is derived from bacterial infection-related experiments using C57BL/6J mice as research subjects, and the process of dataset generation strictly follows standardized animal experimental procedures, specifically as follows: First, 90 specific pathogen-free C57BL/6J mice (60 females and 30 males), aged 6–7 weeks, were selected and randomly divided into 6 experimental groups (n=15 per group): Normal Control (NC), Chronic Apical Periodontitis (CAP) induced by Porphyromonas gingivalis (P.g, AP), CAP induced by Fusobacterium nucleatum (F.n, AF), normal saline tail vein injection (VN), P. gingivalis tail vein injection (VP), and F. nucleatum vein injection (VF). After one week of acclimatization, the CAP model (established by opening the pulp chamber of bilateral maxillary first molars, bacterial inoculation and resin restoration, with successful model confirmation by periapical radiography after 2 weeks), tail vein injection model (100 μL of 10⁸ colony-forming units (CFU)/mL bacterial suspension injected daily for 3 consecutive days, followed by injection every 3 days until gestational day 15), and pregnant mouse model (female and male mice co-housed at a 2:1 ratio, with gestational day (GD) 0.5 designated by the presence of a vaginal plug or sperm-positive vaginal smear) were established respectively. During the experiment, relevant data such as mouse body weight, gestational length, and litter size were recorded. At gestational day 15 and the end of the experiment, blood, carotid artery bifurcation tissue, placental tissue and other samples were collected after intraperitoneal anesthesia. Meanwhile, cell experiments were performed (the human trophoblast cell line HTR-8/SVneo was divided into a control group, P.g intervention group, and F.n intervention group, with supernatants collected after co-culture at a multiplicity of infection (MOI) of 50). Finally, relevant experimental data were obtained through various detection methods to form a complete dataset.The methods and steps for dataset processing are as follows: For tissue sample processing, part of the placental tissue was stored at -80°C, and the other part was fixed in 10% formalin for 24 hours, dehydrated through an alcohol gradient, embedded in paraffin, and sectioned (4.5 μm thickness) for histological analysis; blood samples were collected via retro-orbital bleeding and processed for serum inflammatory factor detection; cell samples were cultured to the logarithmic growth phase, seeded, and supernatants were collected for later use after intervention. For molecular biology processing, animal tissue/cell genomic DNA extraction kits and bacterial genomic DNA extraction kits were used to extract tissue and bacterial DNA, respectively. After detecting concentration and purity with a nucleic acid/protein quantifier and verifying integrity by agarose gel electrophoresis, real-time quantitative PCR was used to detect target bacterial genes; TRIzol reagent was used to extract total cellular RNA, which was then reverse-transcribed for subsequent experiments. Quantitative real-time PCR was performed to determine the mRNA levels of TNF-α and IL-1β in cells; protein lysates were separated by SDS-PAGE, transferred to membranes, and relevant protein expression was detected by Western blot; tissue sections were stained with hematoxylin and eosin (H&E) and immunohistochemistry (DAB staining) for morphological and antigen localization analysis; ELISA kits were used to detect inflammatory factor levels in serum and cell culture supernatants. During data processing, SPSS 26.0 was used for statistical analysis. Normally distributed continuous data were presented as mean ± standard deviation (x̄ ± s) and analyzed by one-way ANOVA (with LSD post-hoc test for homogeneous variances) or Welch's ANOVA (with Dunnett's T3 post-hoc test for heterogeneous variances). Non-normally distributed continuous data were expressed as median (interquartile range) [M (P25, P75)] and analyzed by Kruskal-Wallis H test, followed by Kruskal-Wallis one-way ANOVA (k-sample) for pairwise comparisons. Graphs were generated using GraphPad Prism 9.0.The main equipment and tools used in this dataset include: biosafety cabinet, anaerobic incubator (maintaining an environment of 85% N₂, 10% H₂, and 5% CO₂), cell incubator (37°C, 5% CO₂), nucleic acid/protein quantifier, agarose gel electrophoresis equipment, real-time quantitative PCR instrument, multifunctional fluorescence imaging system (Azure 500, USA), paraffin microtome, optical microscope, centrifuge, etc.; the reagents and kits used include: Columbia blood agar plates, brain heart infusion broth, penicillin-streptomycin, fetal bovine serum, RPMI 1640 medium, DNA/RNA extraction kits, PCR-related kits, ELISA kits, primary antibodies (MyD88, TLR4, etc.), DAB peroxidase (HRP) substrate kit, etc.; the data processing software is SPSS 26.0 and GraphPad Prism 9.0, both of which are commonly used statistical and graphing software and can be obtained through official channels.The time information involved in the dataset mainly refers to the experimental cycle, which starts from one week of mouse acclimatization and ends at the experimental endpoint (mouse delivery or sample collection), with a total duration of approximately 8–10 weeks. Among them, the establishment of the CAP model takes 2 weeks, tail vein injection lasts until gestational day 15, and the pregnancy cycle starts from gestational day 0.5 to the end of delivery (delivery before gestational day 18.5 is defined as preterm birth in this study). The spatial information mainly refers to the experimental implementation sites (Animal Experiment Center and Laboratory of the First Affiliated Hospital of Xinjiang Medical University), and the sample sources include mouse carotid artery bifurcation tissue, placental tissue, blood, and HTR-8/SVneo cells, with no specific spatial resolution requirements. The number of records contained in the dataset corresponds to the experimental sample size, with 15 mice in each group. Each mouse includes individual records such as body weight and pregnancy parameters, and tissue and cell detection data are recorded one by one for each sample. The specific number of records varies with different detection indicators; the measurement units involved in the data include: bacterial concentration (CFU/mL), body weight (g), injection volume (μL), protein antibody dilution ratio, PCR reaction system volume (μL), inflammatory factor concentration (pg/mL or ng/mL), section thickness (μm), absorbance (OD660), etc.During the collection and processing of this dataset, strict compliance with experimental operation specifications was maintained, and all samples were subjected to 3 repeated detections to control errors. The errors may mainly come from minor differences in experimental operations (such as injection volume and reagent addition amount) and systematic errors of detection instruments, and the error range is controlled within an acceptable range (the coefficient of variation (CV) of repeated detections for relevant indicators is all < 5%). There is no obvious data missing. If individual samples fail to be detected due to operational errors, they have been handled by supplementary experiments or excluding the samples, and clearly marked in the data records. The dataset has no files in niche formats; all data files are in common formats (such as Excel spreadsheets for recording experimental data, image formats for saving stained sections and electrophoresis results, and text formats for recording experimental parameters), which can be opened and used with conventional office software, image processing software, and data analysis software.