西尾 永司

Introduction Cervical cancer is the fourth most common malignancy in women and is primarily caused by persistent infection with high-risk human papillomavirus (HPV). In addition, host immune responses, genetic factors, and lifestyle habits also have etiological roles. The cervicovaginal microbiome undergoes dynamic changes during menopause, which may be involved in the progression of cervical neoplasia. We aimed to elucidate the association between cervical microenvironmental changes and the progression of cervical neoplasia before and after menopause by integrating analyses of the cervical microbiome, related metabolites, cytokines, and microRNAs. Methods A total of 248 HPV-positive women with cervical neoplasia, including 17 with cervical intraepithelial neoplasia (CIN1), 80 with CIN2, 82 with CIN3, and 69 with squamous cell carcinoma (SCC), were enrolled. As normal controls, 48 HPV-negative healthy women were included. Each group was stratified based on the mean menopausal age of 50 years. Cervical mucus was analyzed according to the methods outlined below. The microbiota was profiled by 16S rRNA gene sequencing, metabolites were analyzed by ultra-HPLC-tandem mass spectrometry, RT-qPCR was used for miRNA expression analysis, and RANTES levels were quantified by multiplex bead array. Data analysis was performed using MicrobiomeAnalyst and MetaboAnalyst. Results In the SCC group, Prevotella and Atopobium were the key bacterial genera among the younger group, while Peptoniphilus, Fusobacterium, and Porphyromonas were more prevalent in elderly group (LDA score > 4.5). We observed a consistent positive correlation between Atopobium and xanthine in younger groups with CIN2 or worse (p < 0.0001). However, no such correlations were detected in elderly women. In addition, Atopobium, Adlercreutzia, and Gardnerella showed significant positive correlation with nicotinic acid in younger women with SCC compared to the elderly women (p < 0.0001). In the younger SCC women, several metabolites were significantly elevated in groups with high expression levels of RANTES, miR-20b-5p, and miR-155-5p. Conclusion The cervical microbiome undergoes changes during menopause, and may influence disease progression by interacting with metabolites, cytokines, and miRNAs. These results highlight the potential for personalized medicine for cervical cancer that is tailored to different age groups.

BACKGROUND: When using assisted reproductive technology, there are cases where, despite the transfer of a good embryo, sometimes pregnancy may not be the case. Thus, during hormone replacement cycle implantation, it is important to synchronize the number of days of progesterone administration with the degree of embryo maturity. This study aimed to compare the outcomes of the administration of oral dydrogesterone for the duration of progestin use during the hormone replacement cycle for frozen-thawed blastocyst transfer. MATERIAL AND METHODS: The primary outcome of this study was the clinical pregnancy rate. We performed a retrospective cohort study of patients who underwent frozen-thawed blastocyst transfers between January 2017 and December 2024. According to our standard protocol, a vitrified-warmed blastocyst transfer was performed using dydrogesterone, which was administered orally at our center. A total of 554 cases were included in the study. Using the Gardner classification to evaluate the quality of blastocysts, grade AA was classified as the best quality, the AB/BA group as good quality, and the BB group as fair quality. We classified the 554 cases into 317 AA, 163 AB/BA, and 74 BB cases using the Gardner classification. Based on the duration of progestin administration, patients were divided into four groups: 120 hours (120 h), 132 hours (132 h), 144 hours (144 h), and 156 hours (156 h). We used the Shapiro-Wilk method and the Steel-Dwass test to determine whether there were differences in patients' background age and BMI among the four groups (120 h, 132 h, 144 h, and 156 h). We used Fisher's exact test and the Bonferroni method to determine whether there were differences in the final outcome of pregnancy rate between the four groups of 120 h, 132 h, 144 h, and 156 h. RESULTS: In the analysis of all embryos, the pregnancy rate at each timepoint of the primary evaluation was significantly higher in the 144-h group than in the 132-h group. Next, on analyzing the results by embryo grade, there was no difference in the pregnancy rate at each timepoint in the AA group. In the AB/BA group, the pregnancy rate was higher in the 144-h group than in the 132-h group. In the BB group, the pregnancy rate was higher in the 144-h group than in the 132-h group. CONCLUSION: This study clarified two aspects. First, the pregnancy rate in the 144-h group was significantly higher than that in the 132-h group in the analysis of all embryos. Second, the window of implantation may be more important for poor-quality embryos. This study showed that the oral administration of dydrogesterone requires a window of implantation of at least 144 hours.

Estrogen is synthesized throughout various tissues in the body, and its production is regulated by the rate-limiting enzyme aromatase (encoded by the Cyp19a1 gene). Notably, aromatase is also expressed in central nervous system cells, allowing for localized estrogen synthesis in regions such as the hypothalamus. Estrogens produced within these neurons are referred to as neuroestrogens. In this study, we investigated the role of neuroestrogens in the regulation of appetite through modulation of hypothalamic pathways in OVX, ArKO, and aromatase-restored mice. Estrogen suppresses appetite by influencing the expression of appetite-regulating peptides, including POMC and NPY, via MC4R. We explored the direct effects of neuroestrogens, independent from ovarian estrogen, on appetite suppression and the underlying molecular mechanisms. We monitored body weight and food intake and evaluated the expression of Cyp19a1, Mc4r, and other appetite-related genes. Our findings indicate that OVX and ArKO mice exhibited increased body weight and food consumption, which correlated with altered expression of Mc4r and Cyp19a1. Conversely, restoration of Cyp19a1 expression in a neuron specific manner significantly decreased food intake and increased Mc4r expression in the hypothalamus. Furthermore, neuroestrogens enhanced leptin responsiveness. Our results imply that neuroestrogens likely contribute to appetite regulation and may be relevant for body weight reduction.

Abstract Approximately 660,000 women are diagnosed with cervical cancer annually. Current screening options such as cytology or human papillomavirus testing have limitations, creating a need to identify more effective ancillary biomarkers for triage. Here, we evaluated whether metabolomic analysis of cervical mucus metabolism could be used to identify biomarkers of cervical intraepithelial neoplasia (CIN) and cervical cancer. The case–control group consisted of 181 CIN, 69 squamous cell carcinoma (SCC) patients, and 48 healthy controls in the primary cohort. We undertook metabolomic analyses using ultra‐HPLC–tandem mass spectrometry. Univariate and multivariate analyses were carried out to profile metabolite characteristics, and receiver operating characteristic (ROC) analysis identified biomarker candidates. Five metabolites conferred the highest discriminatory power for SCC: oxidized glutathione (GSSG) (area under the ROC curve, 0.924; 95% confidence interval, 0.877–0.971), malic acid (0.914, 0.859–0.968), kynurenine (0.884, 0.823–0.945), GSSG/glutathione (GSH) (0.936, 0.892–0.979), and kynurenine/tryptophan (0.909, 0.856–0.961). Malic acid was the best marker for detection of CIN2 or worse (0.858, 0.793–0.922) and was a clinically useful metabolite. We confirmed the reproducibility of the results by validation cohort. Additionally, metabolomic analyses revealed eight pathways strongly associated with cervical neoplasia. Of these, only the tricarboxylic acid cycle was strongly associated with all CINs and cancer, indicating active energy production. Aberrant arginine metabolism by decreasing arginine and increasing citrulline might reduce tumor immunity. Changes in cysteine‐methionine and GSH pathways might drive the initiation and progression of cervical cancer. These results suggest that metabolic analysis can identify ancillary biomarkers and could improve our understanding of the pathophysiological mechanisms underlying cervical neoplasia.