Huang Xiaoling, Li Xiaoge, Li Sijing, Wu Jin, Duan Zhaoning, Luo Ming, Jia Ying
Department of Obstetrics and Gynecology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Zhengzhou Central Hospital, Zhengzhou, China.
J Obstet Gynaecol Res. 2025 Aug;51(8):e70035. doi: 10.1111/jog.70035.
This study aimed to identify potential biomarkers in high-risk human papillomavirus (HR-HPV) infections and related cervical lesions through the analysis of vaginal metabolic profiles.
Forty cervicovaginal secretion samples were collected from healthy individuals, HR-HPV-positive individuals, low-grade squamous intraepithelial lesion patients, high-grade squamous intraepithelial lesion patients, and cervical cancer (CC) patients. All samples were analyzed using liquid chromatography-mass spectrometry (LC-MS). Metabolites with significant differences were identified using the variable importance in projection (VIP > 1) derived from the orthogonal least partial squares discriminant analysis (OPLS-DA) model and the p-value (p < 0.05) of the Student's t test. Utilizing hierarchical cluster analysis and receiver operating characteristic curve analysis, the optimal biomarkers were identified, and the diagnostic potential of these biomarkers was evaluated. Significantly enriched pathways of the differential metabolites were explored using metabolic pathway analysis.
LC-MS analysis of the vaginal metabolomic profiles revealed unique molecular characteristics of different states of HR-HPV infection. Based on persistent HR-HPV infection, 3-Isochromanone increased, and DG(2:0/5-iso PGF2VI/0:0) and (4R,5S,7R,11x)-11,12-Dihydroxy-1(10)-spirovetiven-2-one 12-glucoside decreased (p < 0.05) with the aggravation of cervical lesions, suggesting their potential as biomarkers to predict various stages of cervical lesions. Additionally, analysis of metabolic pathway enrichment for differential metabolites identified the phenylalanine, tyrosine, and tryptophan biosynthesis pathways as the key metabolic pathways in the progression of cervical lesions.
By measuring the metabolome of vaginal secretions, specific metabolites can effectively distinguish persistent HR-HPV infections and different grades of cervical lesions, which may become an important means for the early screening and diagnosis of CC.
本研究旨在通过分析阴道代谢谱,鉴定高危型人乳头瘤病毒(HR-HPV)感染及相关宫颈病变中的潜在生物标志物。
收集了40份来自健康个体、HR-HPV阳性个体、低级别鳞状上皮内病变患者、高级别鳞状上皮内病变患者及宫颈癌(CC)患者的宫颈阴道分泌物样本。所有样本均采用液相色谱-质谱联用(LC-MS)进行分析。利用正交最小偏二乘判别分析(OPLS-DA)模型得出的投影变量重要性(VIP>1)和学生t检验的p值(p<0.05),鉴定出具有显著差异的代谢物。运用层次聚类分析和受试者工作特征曲线分析,确定最佳生物标志物,并评估这些生物标志物的诊断潜力。通过代谢途径分析探索差异代谢物显著富集的途径。
对阴道代谢组学谱的LC-MS分析揭示了HR-HPV感染不同状态的独特分子特征。基于持续性HR-HPV感染,随着宫颈病变的加重,3-异苯并呋喃酮增加,而DG(2:0/5-异前列腺素F2VI/0:0)和(4R,5S,7R,11x)-11,12-二羟基-1(10)-螺旋维提文-2-酮12-葡萄糖苷减少(p<0.05),表明它们有可能作为预测宫颈病变各阶段的生物标志物。此外,对差异代谢物的代谢途径富集分析确定苯丙氨酸、酪氨酸和色氨酸生物合成途径是宫颈病变进展中的关键代谢途径。
通过测量阴道分泌物的代谢组,特定代谢物可有效区分持续性HR-HPV感染和不同级别的宫颈病变,这可能成为CC早期筛查和诊断的重要手段。