677: Integration of multiple ‘omic datasets from a nested prospective observational study reveals linkage between the gut microbiome and metabolites in association with spontaneous preterm birth (sPTB)

2018 ◽  
Vol 218 (1) ◽  
pp. S407-S408
Author(s):  
Derrick Chu ◽  
Ryan Pace ◽  
Amanda Prince ◽  
Chris Stewart ◽  
Maxim Seferovic ◽  
...  
2018 ◽  
Vol 18 (1) ◽  
Author(s):  
Guillaume Ducarme ◽  
François Desroys du Roure ◽  
Aurélie Le Thuaut ◽  
Joséphine Grange ◽  
Mathilde Vital ◽  
...  

2021 ◽  
Author(s):  
Julja Burchard ◽  
Ashoka D. Polpitiya ◽  
Angela C. Fox ◽  
Todd Randolph ◽  
Tracey C. Fleischer ◽  
...  

AbstractPreterm births are prevalent and a leading cause of neonatal death in the United States. Despite the availability of effective interventions, to date there is not a robust and widely applicable test to identify pregnancies at high risk for spontaneous preterm birth (sPTB). Previously, a sPTB predictor based on the ratio of two proteins, IBP4/SHBG, was validated as an accurate predictor of sPTB in the observational study Proteomic Assessment of Preterm Risk (PAPR). Here it is demonstrated that the same predictor threshold associated with 2-fold increased risk of sPTB, namely −1.4, is also statistically significant for predicting elevated risk of sPTB in the observational study Multicenter Assessment of a Spontaneous Preterm Birth Risk Predictor (TreeToP).


2019 ◽  
Vol 98 (9) ◽  
pp. 1157-1163 ◽  
Author(s):  
Alan Roberto Hatanaka ◽  
Marcelo Santucci Franca ◽  
Tatiana Emy Nishimoto Kawanami Hamamoto ◽  
Liliam Cristine Rolo ◽  
Rosiane Mattar ◽  
...  

2020 ◽  
Vol 4 (1) ◽  
Author(s):  
Jesus Miguens Blanco ◽  
Federica Borghese ◽  
Neil McHugh ◽  
Peter Kelleher ◽  
Raj Sengupta ◽  
...  

Abstract Background Psoriasis is a chronic inflammatory disease of the skin affecting 2–3% of UK population. 30% of people affected by psoriasis will develop a distinct form of arthritis within 10 years of the skin condition onset. Although the pathogenesis of psoriatic arthritis is still unknown, there is a genetic predisposition triggered by environmental factors. Limited but convincing evidence link the gut microbiome to psoriatic arthritis. The Microbiome in Psoriatic ARThritis (Mi-PART) study propose is to characterise the microbiome-metabolic interface in patients affected by psoriatic arthritis to deepen our understanding of the pathogenesis of the disease. Methods This is a multicentre, prospective, observational study. Psoriatic arthritis (n = 65) and ankylosing spondylitis (n = 30) patients will be recruited in addition to a control group of healthy volunteers (n = 30). Patients eligibility will be evaluated against the Criteria for Psoriatic Arthritis (CASPAR), the Bath Ankylosing Spondylitis Activity Index (BASDAI) and the healthy volunteers who fulfil study inclusion and exclusion criteria. Information regarding their medical and medication history, demographics, diet and lifestyle will be collected. All the participants in the study will be asked to complete a 7-day food diary, to provide stool samples and to complete quality of life questionnaires. Routine clinical laboratory tests will be performed on blood and urine samples. Patients and healthy volunteers with gastrointestinal symptoms, previous history of cancer, gastrointestinal surgery in the previous 6 months or alcohol abuse will be excluded from the study. Discussion The aim of this trial is to characterise the microbiome of psoriatic arthritis patients and to compare it with microbiome of healthy volunteers and of patient with ankylosing spondylitis in order to define if different rheumatologic conditions are associated with characteristic microbiome profiles. Investigating the role of the microbiome in the development of psoriatic arthritis could deepen our understanding of the pathogenesis of the disease and potentially open the way to new therapies.


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