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Daniel Poulain

Researcher at university of lille

Publications -  217
Citations -  10009

Daniel Poulain is an academic researcher from university of lille. The author has contributed to research in topics: Candida albicans & Corpus albicans. The author has an hindex of 54, co-authored 214 publications receiving 9285 citations. Previous affiliations of Daniel Poulain include French Institute of Health and Medical Research & University of California, Los Angeles.

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Anti-Saccharomyces cerevisiae mannan antibodies combined with antineutrophil cytoplasmic autoantibodies in inflammatory bowel disease: prevalence and diagnostic role

TL;DR: ASCA and pANCA are strongly associated with Crohn’s disease and ulcerative colitis, respectively, and Combination of both tests could help the diagnosis of inflammatory bowel disease.
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Candida albicans Phospholipomannan Is Sensed through Toll-Like Receptors

TL;DR: Candida albicans is a common, harmless yeast in the human digestive tract that also causes severe systemic fungal infection in hospitalized patients, and the ability of PLM to stimulate tumor necrosis factor (TNF)-alpha production by J774 mouse cells correlates with the activation of nuclear factor (NF)-kappaB.
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Bacteriome and Mycobiome Interactions Underscore Microbial Dysbiosis in Familial Crohn’s Disease

TL;DR: The gut bacterial microbiota (bacteriome) and fungal community (mycobiome) in multiplex families with CD and healthy relatives and the microbial interactions leading to dysbiosis in CD are characterized to provide insight into the roles of bacteria and fungi in CD and may lead to the development of novel treatment approaches and diagnostic assays.
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The value of serologic markers in indeterminate colitis : a prospective follow-up study

TL;DR: Evaluated the value of anti-Saccharomyces cerevisiae antibodies (ASCA) and perinuclear antineutrophil cytoplasmic antibodies (pANCA) to increase diagnostic accuracy in categorizing IC and results so far show that ASCA+/ pANCA- predicts CD in 80% of patients with IC and ASCA-/pANca+ predicts UC in 63.6%.