title: The Effects of Hormones and Vaginal Microflora on the Glycome of the Female Genital Tract: Cervical-Vaginal Fluid.
abstract: In this study, we characterized the glycome of cervical-vaginal fluid, collected with a Catamenial cup. We quantified: glycosidase levels; sialic acid and high mannose specific lectin binding; mucins, MUC1, MUC4, MUC5AC, MUC7; and albumin in the samples collected. These data were analyzed in the context of hormonal status (day of menstrual cycle, hormonal contraception use) and role, if any, of the type of the vaginal microflora present. When the Nugent score was used to stratify the subjects by microflora as normal, intermediate, or bacterial vaginosis, several important differences were observed. The activities of four of six glycosidases in the samples from women with bacterial vaginosis were significantly increased when compared to normal or intermediate women: sialidase, P = <0.001; α-galactosidase, P = 0.006; β-galactosidase, P = 0.005; α-glucosidase, P = 0.056. Sialic acid binding sites as measured by two lectins, Maackia amurensis and Sambucus nigra binding, were significantly lower in women with BV compared to women with normal and intermediate scores (P = <0.0001 and 0.008 respectively). High mannose binding sites, a measure of innate immunity were also significantly lower in women with BV (P = <0.001). Additionally, we observed significant increases in MUC1, MUC4, MUC5AC, and MUC7 concentrations in women with BV (P = <0.001, 0.001, <0.001, 0.02 respectively). Among normal women we found that the membrane bound mucin MUC4 and the secreted MUC5AC were decreased in postmenopausal women (P = 0.02 and 0.07 respectively), while MUC7 (secreted) was decreased in women using levonorgestrel-containing IUDs (P = 0.02). The number of sialic acid binding sites was lower in the postmenopausal group (P = 0.04), but the number of high mannose binding sites, measured with Griffithsin, was not significantly different among the 6 hormonal groups. The glycosidase levels in the cervical-vaginal mucus were rather low in the groups, with exception of α-glucosidase activity that was much lower in the postmenopausal group (P<0.001). These studies present compelling evidence that the vaginal ecosystem responds to the presence of different vaginal microorganisms. These effects were so influential that it required us to remove subjects with BV for data interpretation of the impact of hormones. We also suggest that certain changes occurring in vaginal/cervical proteins are due to bacteria or their products. Therefore, the quantitation of vaginal mucins and lectin binding offers a new method to monitor bacteria-host interactions in the female reproductive tract. The data suggest that some of the changes in these components are the result of host processing, such as the increases in mucin content, while the microflora is responsible for the increases in glycosidases and the decreases in lectin binding. The methods should be considered a valid marker for insult to the female genital tract.
authors.affiliation: Department of Obstetrics, Gynecology and Reproductive Sciences, University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America.|Magee-Womens Research Institute, Pittsburgh, Pennsylvania, United States of America.
authors.forename: Bernard J
authors.initials: BJ
authors.lastname: Moncla
authors.affiliation: Department of Obstetrics, Gynecology and Reproductive Sciences, University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America.|Magee-Womens Research Institute, Pittsburgh, Pennsylvania, United States of America.
authors.forename: Catherine A
authors.initials: CA
authors.lastname: Chappell
authors.affiliation: Department of Cell and Developmental Biology, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America.
authors.forename: Brian M
authors.initials: BM
authors.lastname: Debo
authors.affiliation: Magee-Womens Research Institute, Pittsburgh, Pennsylvania, United States of America.
authors.forename: Leslie A
authors.initials: LA
authors.lastname: Meyn
mesh_terms: D001826:Body Fluids / Q000201:enzymology; D002582:Cervix Mucus / Q000201:enzymology*; D005260:Female; D005836:Genitalia, Female / Q000201:enzymology* / Q000382:microbiology / Q000473:pathology; D006026:Glycoside Hydrolases / Q000378:metabolism; D006728:Hormones / Q000378:metabolism; D006801:Humans; D037102:Lectins / Q000494:pharmacology; D008597:Menstrual Cycle / Q000378:metabolism; D018396:Mucin-1 / Q000378:metabolism; D055264:Mucin-4 / Q000378:metabolism; D055257:Mucin-5B / Q000378:metabolism; D009077:Mucins / Q000378:metabolism; D019158:N-Acetylneuraminic Acid / Q000378:metabolism; D009439:Neuraminidase / Q000378:metabolism; D012471:Salivary Proteins and Peptides / Q000378:metabolism; D014621:Vagina / Q000378:metabolism / Q000382:microbiology* / Q000473:pathology; D016585:Vaginosis, Bacterial / Q000201:enzymology* / Q000382:microbiology / Q000473:pathology; D000519:alpha-Galactosidase / Q000378:metabolism; D001616:beta-Galactosidase / Q000378:metabolism
chemical_list: D006728:Hormones; D037102:Lectins; C060192:MUC1 protein, human; C524658:MUC4 protein, human; C524578:MUC5B protein, human; C083238:MUC7 protein, human; D018396:Mucin-1; D055264:Mucin-4; D055257:Mucin-5B; D009077:Mucins; D012471:Salivary Proteins and Peptides; D006026:Glycoside Hydrolases; D009439:Neuraminidase; D000519:alpha-Galactosidase; D001616:beta-Galactosidase; D019158:N-Acetylneuraminic Acid