ID
45268
Beskrivning
Principal Investigator: Jacques Ravel, PhD, Institute for Genome Sciences, University of Maryland School of Medicine, Baltimore, MD, USA MeSH: Vaginosis, Bacterial https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs000261 Archived self-collected vaginal swabs were utilized from a pilot study of vaginal douching cessation (NIH/NIAID R03-AI061131). Thirty-nine non-pregnant, reproductive-age women who reported the use of vaginal douche products in the two months prior to screening were enrolled. Thirty-three of these successfully completed the 16-week longitudinal study. Participants self-collected vaginal swabs and smears twice weekly. We report sequences based on the analysis of 16S rRNA gene sequences amplified from whole genomic DNA isolated from the swabs. Bacterial vaginosis (BV) is defined by Gram's stain of vaginal fluid (Nugent's score ≥7). The large body of information generated will facilitate understanding of vaginal microbial community dynamics, the etiology of BV, and drive the development of better diagnostic tools for BV. Furthermore, it is hoped that the information will enable a more personalized treatment of BV and ultimately, prevent adverse sequelae associated with BV.
Länk
Nyckelord
Versioner (2)
- 2022-06-07 2022-06-07 - Dr. Christian Niklas
- 2022-10-12 2022-10-12 - Adrian Schulz
Rättsinnehavare
Jacques Ravel, PhD
Uppladdad den
12 oktober 2022
DOI
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Licens
Creative Commons BY 4.0
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dbGaP phs000261 The Microbial Ecology of Bacterial Vaginosis
Eligibility Criteria
- StudyEvent: SEV1
- Eligibility Criteria
- The data table contains subject and subject consents, and aliases of subject IDs from the Johns Hopkins Longitudinal Bacterial Vaginosis Study.
- The data table contains mapping of study subject IDs to sample IDs. Samples are the final preps submitted for sequencing. For example, if one patient (subject ID) gave one sample, and that sample was processed differently to generate 2 sequencing runs, there would be two rows, both using the same subject ID, but having 2 unique sample IDs. This data table also contains the mapping of sample IDs to sample IDs from the Johns Hopkins Longitudinal Bacterial Vaginosis Study.
- The data table contains subject phenotypes that are time independent. Included are sociodemography phenotypes such as age, ethnicity, education level, and mother's education level, and lifestyle/environment phenotypes such as self-report of tobacco and alcohol use.
- The data table contains subject phenotypes that are based on the number of days in the longitudinal study, and therefore is time dependent. The table is a record of daily reports of menstrual bleeding and hygiene, laboratory results of Nugent Gram's stain score and white blood cells on Gram's stain, and self-reports of medications.
Similar models
Eligibility Criteria
- StudyEvent: SEV1
- Eligibility Criteria
- The data table contains subject and subject consents, and aliases of subject IDs from the Johns Hopkins Longitudinal Bacterial Vaginosis Study.
- The data table contains mapping of study subject IDs to sample IDs. Samples are the final preps submitted for sequencing. For example, if one patient (subject ID) gave one sample, and that sample was processed differently to generate 2 sequencing runs, there would be two rows, both using the same subject ID, but having 2 unique sample IDs. This data table also contains the mapping of sample IDs to sample IDs from the Johns Hopkins Longitudinal Bacterial Vaginosis Study.
- The data table contains subject phenotypes that are time independent. Included are sociodemography phenotypes such as age, ethnicity, education level, and mother's education level, and lifestyle/environment phenotypes such as self-report of tobacco and alcohol use.
- The data table contains subject phenotypes that are based on the number of days in the longitudinal study, and therefore is time dependent. The table is a record of daily reports of menstrual bleeding and hygiene, laboratory results of Nugent Gram's stain score and white blood cells on Gram's stain, and self-reports of medications.
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