UNASSIGNED: The patient group consists of female patients with low-grade, high-grade cervical dysplasia, and cervical cancer. Normal cervix samples from health volunteers were used as controls. The metabolic fingerprints of cervicovaginal lavage were analyzed using liquid chromatography-mass spectrometry, while the vaginal microbiota was examined through 16S rRNA sequencing. Bioinformatic analysis was adopted to investigate the interplay between hosts and microbes. The vaginal metabolic and microbiota profiles of 90 female patients with cervical dysplasia and 10 controls were analyzed to discover the biological characteristics underlying the progression of cervical cancer.
UNASSIGNED: We found that Valyl-Glutamate, N, N\'-Diacetylbenzidine, and Oxidized glutathione, which were involved in oxidative stress response, were discriminators to distinguish the normal cervix, invasive cervical carcinomas, and CIN3 from others. Cervical carcinoma was characterized by a large variety of vaginal microbes (dominated by non-Lactobacillus communities) compared to the control. These microbes affected amino acid and nucleotide metabolism, producing metabolites with cervical carcinoma and genital inflammation compared to the control group.
UNASSIGNED: This study revealed that cervicovaginal metabolic profiles were determined by cervical cancer, vaginal microbiota, and their interplays. ROS metabolism can be used to discriminate normal cervix, CIN3, and invasive cervical carcinoma.
■患者组由低级别女性患者组成,严重的宫颈发育不良,还有宫颈癌.来自健康志愿者的正常宫颈样品用作对照。采用液相色谱-质谱联用技术对宫颈阴道灌洗的代谢指纹图谱进行分析,而通过16SrRNA测序检查阴道微生物群。采用生物信息学分析来研究宿主与微生物之间的相互作用。分析了90例宫颈发育不良女性患者和10例对照组的阴道代谢和微生物区系,以发现宫颈癌进展的生物学特征。
■我们发现Valyl-谷氨酸,N,N'-二乙酰联苯胺,和氧化谷胱甘肽,参与氧化应激反应,是区分正常子宫颈的鉴别器,浸润性宫颈癌,和其他人的CIN3。与对照相比,宫颈癌的特征是各种阴道微生物(以非乳杆菌群落为主)。这些微生物影响氨基酸和核苷酸代谢,与对照组相比,产生代谢产物的宫颈癌和生殖器炎症。
■这项研究表明宫颈阴道代谢谱由宫颈癌决定,阴道微生物群,和他们的互动。ROS代谢可用于区分正常子宫颈,CIN3和浸润性宫颈癌。