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  1. Article: The Vaginal Microbiota Composition and Genital Infections during and after Pregnancy among Women in Pemba Island, Tanzania

    Juliana, Naomi C. A. / Deb, Saikat / Juma, Mohamed H. / Poort, Linda / Budding, Andries E. / Mbarouk, Abdalla / Ali, Said M. / Ouburg, Sander / Morré, Servaas A. / Sazawal, Sunil / Ambrosino, Elena

    Microorganisms. 2022 Feb. 25, v. 10, no. 3

    2022  

    Abstract: We investigated the vaginal microbiota (VMB) composition, prevalence of genital pathogens and their association among pregnant and post-delivery women in Pemba Island, Tanzania. Vaginal swabs were collected from 90 women, at two time points during ... ...

    Abstract We investigated the vaginal microbiota (VMB) composition, prevalence of genital pathogens and their association among pregnant and post-delivery women in Pemba Island, Tanzania. Vaginal swabs were collected from 90 women, at two time points during pregnancy (<20 weeks of gestational age [GA] and ≥20 weeks GA) and once after delivery, when possible. IS-pro assay was used for VMB characterization. Chlamydia trachomatis (CT), Neisseria gonorrhea (NG), Trichomonas vaginalis (TV), Mycoplasma genitalium (MG) and human papillomavirus (HPV) were detected by qPCRs. VMB were mostly Lactobacillus dominant during pregnancy and non-Lactobacillus dominant post-delivery. A significant decrease in VMB richness was observed during pregnancy among paired and unpaired samples. Shannon diversity was significantly lower during pregnancy than post-delivery among unpaired samples. Klebsiella species and Streptococcus anginosus were the most commonly identified pathobionts at all timepoints. A high abundance of pathobionts was mostly seen in women with non-Lactobacillus dominant VMB. At ≥20 weeks GA timepoint during pregnancy, 63.0% of the women carrying one or more genital pathogen (either HPV, CT, TV, or MG) had L. iners dominant VMB. NG was not detected pre-delivery. This study contributes evidence on VMB composition, its changes during pregnancy and post-delivery, and their association with pathobionts and genital pathogens.
    Keywords Chlamydia trachomatis ; Klebsiella ; Lactobacillus ; Mycoplasma genitalium ; Neisseria ; Papillomaviridae ; Streptococcus anginosus ; Trichomonas vaginalis ; gestational age ; humans ; microorganisms ; pathogens ; pregnancy ; Tanzania
    Language English
    Dates of publication 2022-0225
    Publishing place Multidisciplinary Digital Publishing Institute
    Document type Article
    ZDB-ID 2720891-6
    ISSN 2076-2607
    ISSN 2076-2607
    DOI 10.3390/microorganisms10030509
    Database NAL-Catalogue (AGRICOLA)

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  2. Article: The Vaginal Microbiota Composition and Genital Infections during and after Pregnancy among Women in Pemba Island, Tanzania.

    Juliana, Naomi C A / Deb, Saikat / Juma, Mohamed H / Poort, Linda / Budding, Andries E / Mbarouk, Abdalla / Ali, Said M / Ouburg, Sander / Morré, Servaas A / Sazawal, Sunil / Ambrosino, Elena

    Microorganisms

    2022  Volume 10, Issue 3

    Abstract: We investigated the vaginal microbiota (VMB) composition, prevalence of genital pathogens and their association among pregnant and post-delivery women in Pemba Island, Tanzania. Vaginal swabs were collected from 90 women, at two time points during ... ...

    Abstract We investigated the vaginal microbiota (VMB) composition, prevalence of genital pathogens and their association among pregnant and post-delivery women in Pemba Island, Tanzania. Vaginal swabs were collected from 90 women, at two time points during pregnancy (<20 weeks of gestational age [GA] and ≥20 weeks GA) and once after delivery, when possible. IS-pro assay was used for VMB characterization. Chlamydia trachomatis (CT), Neisseria gonorrhea (NG), Trichomonas vaginalis (TV), Mycoplasma genitalium (MG) and human papillomavirus (HPV) were detected by qPCRs. VMB were mostly Lactobacillus dominant during pregnancy and non-Lactobacillus dominant post-delivery. A significant decrease in VMB richness was observed during pregnancy among paired and unpaired samples. Shannon diversity was significantly lower during pregnancy than post-delivery among unpaired samples. Klebsiella species and Streptococcus anginosus were the most commonly identified pathobionts at all timepoints. A high abundance of pathobionts was mostly seen in women with non-Lactobacillus dominant VMB. At ≥20 weeks GA timepoint during pregnancy, 63.0% of the women carrying one or more genital pathogen (either HPV, CT, TV, or MG) had L. iners dominant VMB. NG was not detected pre-delivery. This study contributes evidence on VMB composition, its changes during pregnancy and post-delivery, and their association with pathobionts and genital pathogens.
    Language English
    Publishing date 2022-02-25
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2720891-6
    ISSN 2076-2607
    ISSN 2076-2607
    DOI 10.3390/microorganisms10030509
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Multiomic signals associated with maternal epidemiological factors contributing to preterm birth in low- and middle-income countries.

    Espinosa, Camilo A / Khan, Waqasuddin / Khanam, Rasheda / Das, Sayan / Khalid, Javairia / Pervin, Jesmin / Kasaro, Margaret P / Contrepois, Kévin / Chang, Alan L / Phongpreecha, Thanaphong / Michael, Basil / Ellenberger, Mathew / Mehmood, Usma / Hotwani, Aneeta / Nizar, Ambreen / Kabir, Furqan / Wong, Ronald J / Becker, Martin / Berson, Eloise /
    Culos, Anthony / De Francesco, Davide / Mataraso, Samson / Ravindra, Neal / Thuraiappah, Melan / Xenochristou, Maria / Stelzer, Ina A / Marić, Ivana / Dutta, Arup / Raqib, Rubhana / Ahmed, Salahuddin / Rahman, Sayedur / Hasan, A S M Tarik / Ali, Said M / Juma, Mohamed H / Rahman, Monjur / Aktar, Shaki / Deb, Saikat / Price, Joan T / Wise, Paul H / Winn, Virginia D / Druzin, Maurice L / Gibbs, Ronald S / Darmstadt, Gary L / Murray, Jeffrey C / Stringer, Jeffrey S A / Gaudilliere, Brice / Snyder, Michael P / Angst, Martin S / Rahman, Anisur / Baqui, Abdullah H / Jehan, Fyezah / Nisar, Muhammad Imran / Vwalika, Bellington / Sazawal, Sunil / Shaw, Gary M / Stevenson, David K / Aghaeepour, Nima

    Science advances

    2023  Volume 9, Issue 21, Page(s) eade7692

    Abstract: Preterm birth (PTB) is the leading cause of death in children under five, yet comprehensive studies are hindered by its multiple complex etiologies. Epidemiological associations between PTB and maternal characteristics have been previously described. ... ...

    Abstract Preterm birth (PTB) is the leading cause of death in children under five, yet comprehensive studies are hindered by its multiple complex etiologies. Epidemiological associations between PTB and maternal characteristics have been previously described. This work used multiomic profiling and multivariate modeling to investigate the biological signatures of these characteristics. Maternal covariates were collected during pregnancy from 13,841 pregnant women across five sites. Plasma samples from 231 participants were analyzed to generate proteomic, metabolomic, and lipidomic datasets. Machine learning models showed robust performance for the prediction of PTB (AUROC = 0.70), time-to-delivery (
    MeSH term(s) Infant, Newborn ; Pregnancy ; Child ; Humans ; Female ; Premature Birth/epidemiology ; Developing Countries ; Multiomics ; Proteomics ; Chemokines, CC
    Chemical Substances Chemokines, CC
    Language English
    Publishing date 2023-05-26
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2810933-8
    ISSN 2375-2548 ; 2375-2548
    ISSN (online) 2375-2548
    ISSN 2375-2548
    DOI 10.1126/sciadv.ade7692
    Database MEDical Literature Analysis and Retrieval System OnLINE

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