4 results on '"Price JT"'
Search Results
2. HIV-associated vaginal microbiome and inflammation predict spontaneous preterm birth in Zambia.
- Author
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Price JT, Vwalika B, France M, Ravel J, Ma B, Mwape H, Rittenhouse KJ, De Paris K, Hobbs M, Nelson JA, Kasaro MP, Stringer EM, and Stringer JSA
- Subjects
- Bacteria, Anaerobic, Female, Gardnerella, Humans, Infant, Newborn, Inflammation complications, Pregnancy, Vagina, Zambia epidemiology, HIV Infections complications, Microbiota genetics, Premature Birth
- Abstract
A Lactobacillus-deficient, anaerobe-rich vaginal microbiome has been associated with local inflammation and spontaneous preterm birth (sPTB), but few studies have assessed this association in the setting of HIV. We performed metagenomic sequencing and inflammatory marker assays on vaginal swabs collected in pregnancy. We grouped samples into 7 metagenomic clusters (mgClust) using the non-redundant VIRGO catalogue, and derived inflammatory scores by factor analysis. Of 221 participants, median Shannon diversity index (SDI) was highest in HIV+ with detectable viral load (1.31, IQR: 0.85-1.66; p < 0.001) and HIV+ with undetectable virus (1.17, IQR: 0.51-1.66; p = 0.01) compared to HIV- (0.74, IQR: 0.35-1.26). Inflammatory scores positively correlated with SDI (+ 0.66, 95%CI 0.28, 1.03; p = 0.001), highest among anaerobe-rich mgClust2-mgClust6. HIV was associated with predominance of anaerobe-rich mgClust5 (17% vs. 6%; p = 0.02) and mgClust6 (27% vs. 11%; p = 0.002). Relative abundance of a novel Gardnerella metagenomic subspecies > 50% predicted sPTB (RR 2.6; 95%CI: 1.1, 6.4) and was higher in HIV+ (23% vs. 10%; p = 0.001). A novel Gardnerella metagenomic subspecies more abundant in women with HIV predicted sPTB. The risk of sPTB among women with HIV may be mediated by the vaginal microbiome and inflammation, suggesting potential targets for prevention., (© 2022. The Author(s).)
- Published
- 2022
- Full Text
- View/download PDF
3. Prediction of gestational age using urinary metabolites in term and preterm pregnancies.
- Author
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Contrepois K, Chen S, Ghaemi MS, Wong RJ, Jehan F, Sazawal S, Baqui AH, Stringer JSA, Rahman A, Nisar MI, Dhingra U, Khanam R, Ilyas M, Dutta A, Mehmood U, Deb S, Hotwani A, Ali SM, Rahman S, Nizar A, Ame SM, Muhammad S, Chauhan A, Khan W, Raqib R, Das S, Ahmed S, Hasan T, Khalid J, Juma MH, Chowdhury NH, Kabir F, Aftab F, Quaiyum A, Manu A, Yoshida S, Bahl R, Pervin J, Price JT, Rahman M, Kasaro MP, Litch JA, Musonda P, Vwalika B, Shaw G, Stevenson DK, Aghaeepour N, and Snyder MP
- Subjects
- Chromatography, Liquid, Cohort Studies, Female, Gestational Age, Humans, Infant, Newborn, Pregnancy, Metabolomics, Ultrasonography, Prenatal
- Abstract
Assessment of gestational age (GA) is key to provide optimal care during pregnancy. However, its accurate determination remains challenging in low- and middle-income countries, where access to obstetric ultrasound is limited. Hence, there is an urgent need to develop clinical approaches that allow accurate and inexpensive estimations of GA. We investigated the ability of urinary metabolites to predict GA at time of collection in a diverse multi-site cohort of healthy and pathological pregnancies (n = 99) using a broad-spectrum liquid chromatography coupled with mass spectrometry (LC-MS) platform. Our approach detected a myriad of steroid hormones and their derivatives including estrogens, progesterones, corticosteroids, and androgens which were associated with pregnancy progression. We developed a restricted model that predicted GA with high accuracy using three metabolites (rho = 0.87, RMSE = 1.58 weeks) that was validated in an independent cohort (n = 20). The predictions were more robust in pregnancies that went to term in comparison to pregnancies that ended prematurely. Overall, we demonstrated the feasibility of implementing urine metabolomics analysis in large-scale multi-site studies and report a predictive model of GA with a potential clinical value., (© 2022. The Author(s).)
- Published
- 2022
- Full Text
- View/download PDF
4. Physiological acclimatization in Hawaiian corals following a 22-month shift in baseline seawater temperature and pH.
- Author
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McLachlan RH, Price JT, Muñoz-Garcia A, Weisleder NL, Levas SJ, Jury CP, Toonen RJ, and Grottoli AG
- Subjects
- Acclimatization, Animals, Coral Reefs, Ecosystem, Hawaii, Hydrogen-Ion Concentration, Lipids, Seawater, Temperature, Anthozoa physiology
- Abstract
Climate change poses a major threat to coral reefs. We conducted an outdoor 22-month experiment to investigate if coral could not just survive, but also physiologically cope, with chronic ocean warming and acidification conditions expected later this century under the Paris Climate Agreement. We recorded survivorship and measured eleven phenotypic traits to evaluate the holobiont responses of Hawaiian coral: color, Symbiodiniaceae density, calcification, photosynthesis, respiration, total organic carbon flux, carbon budget, biomass, lipids, protein, and maximum Artemia capture rate. Survivorship was lowest in Montipora capitata and only some survivors were able to meet metabolic demand and physiologically cope with future ocean conditions. Most M. capitata survivors bleached through loss of chlorophyll pigments and simultaneously experienced increased respiration rates and negative carbon budgets due to a 236% increase in total organic carbon losses under combined future ocean conditions. Porites compressa and Porites lobata had the highest survivorship and coped well under future ocean conditions with positive calcification and increased biomass, maintenance of lipids, and the capacity to exceed their metabolic demand through photosynthesis and heterotrophy. Thus, our findings show that significant biological diversity within resilient corals like Porites, and some genotypes of sensitive species, will persist this century provided atmospheric carbon dioxide levels are controlled. Since Porites corals are ubiquitous throughout the world's oceans and often major reef builders, the persistence of this resilient genus provides hope for future reef ecosystem function globally., (© 2022. The Author(s).)
- Published
- 2022
- Full Text
- View/download PDF
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