Browsing by Author "Tomoshige Kino"

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    Cohort profile: Molecular signature in pregnancy (MSP): Longitudinal high-frequency sampling to characterise cross-omic trajectories in pregnancy in a resource-constrained setting
    (2020-10-10) Tobias Brummaier; Basirudeen Syed Ahamed Kabeer; Pornpimon Wilaisrisak; Mupawjay Pimanpanarak; Aye Kyi Win; Sasithon Pukrittayakamee; Alexandra K. Marr; Tomoshige Kino; Souhaila Al Khodor; Annalisa Terranegra; Verena I. Carrara; Francois Nosten; Jürg Utzinger; Damien Chaussabel; Daniel H. Paris; Rose McGready; Shoklo Malaria Research Unit; Universitat Basel; Swiss Tropical and Public Health Institute (Swiss TPH); Mahidol University; Nuffield Department of Medicine; Sidra Medicine
    © Purpose A successful pregnancy relies on the interplay of various biological systems. Deviations from the norm within a system or intersystemic interactions may result in pregnancy-Associated complications and adverse pregnancy outcomes. Systems biology approaches provide an avenue of unbiased, in-depth phenotyping in health and disease. The molecular signature in pregnancy (MSP) cohort was established to characterise longitudinal, cross-omic trajectories in pregnant women from a resource constrained setting. Downstream analysis will focus on characterising physiological perturbations in uneventful pregnancies, pregnancy-Associated complications and adverse outcomes. Participants First trimester pregnant women of Karen or Burman ethnicity were followed prospectively throughout pregnancy, at delivery and until 3 months post partum. Serial high-frequency sampling to assess whole blood transcriptomics and microbiome composition of the gut, vagina and oral cavity, in conjunction with assessment of gene expression and microbial colonisation of gestational tissue, was done for all cohort participants. Findings to date 381 women with live born singletons averaged 16 (IQR 15-18) antenatal visits (13 094 biological samples were collected). At 5% (19/381) the preterm birth rate was low. Other adverse events such as maternal febrile illness 7.1% (27/381), gestational diabetes 13.1% (50/381), maternal anaemia 16.3% (62/381), maternal underweight 19.2% (73/381) and a neonate born small for gestational age 20.2% (77/381) were more often observed than preterm birth. Future plans Results from the MSP cohort will enable in-depth characterisation of cross-omic molecular trajectories in pregnancies from a population in a resource-constrained setting. Moreover, pregnancy-Associated complications and unfavourable pregnancy outcomes will be investigated at the same granular level, with a particular focus on population relevant needs such as effect of tropical infections on pregnancy. More detailed knowledge on multiomic perturbations will ideally result in the development of diagnostic tools and ultimately lead to targeted interventions that may disproportionally benefit pregnant women from this resource-limited population. Trial registration number NCT02797327.
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    Vaginal Microbiota and Cytokine Levels Predict Preterm Delivery in Asian Women
    (2021-03-04) Manoj Kumar; Selvasankar Murugesan; Parul Singh; Marwa Saadaoui; Duaa Ahmed Elhag; Annalisa Terranegra; Basirudeen Syed Ahamed Kabeer; Alexandra K. Marr; Tomoshige Kino; Tobias Brummaier; Rose McGready; François Nosten; Damien Chaussabel; Souhaila Al Khodor; Faculty of Tropical Medicine, Mahidol University; Sidra Medicine; Universitat Basel; Swiss Tropical and Public Health Institute (Swiss TPH); Nuffield Department of Medicine
    Preterm birth (PTB) is the most common cause of neonatal morbidity and mortality worldwide. Approximately half of PTBs is linked with microbial etiologies, including pathologic changes to the vaginal microbiota, which vary according to ethnicity. Globally more than 50% of PTBs occur in Asia, but studies of the vaginal microbiome and its association with pregnancy outcomes in Asian women are lacking. This study aimed to longitudinally analyzed the vaginal microbiome and cytokine environment of 18 Karen and Burman pregnant women who delivered preterm and 36 matched controls delivering at full term. Using 16S ribosomal RNA gene sequencing we identified a predictive vaginal microbiota signature for PTB that was detectable as early as the first trimester of pregnancy, characterized by higher levels of Prevotella buccalis, and lower levels of Lactobacillus crispatus and Finegoldia, accompanied by decreased levels of cytokines including IFNγ, IL-4, and TNFα. Differences in the vaginal microbial diversity and local vaginal immune environment were associated with greater risk of preterm birth. Our findings highlight new opportunities to predict PTB in Asian women in low-resource settings who are at highest risk of adverse outcomes from unexpected PTB, as well as in Burman/Karen ethnic minority groups in high-resource regions.