Predicting disease course in ulcerative colitis using stool proteins identified through an aptamer-based screen
Stool biomarkers hold promise for monitoring disease activity and predicting clinical course in inflammatory bowel disease (IBD) as they originate from the inflamed tissue. Here the authors report an aptamer-based proteomic screen, and discover several stool proteins that predict remission at four w...
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Nature Portfolio
2021
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oai:doaj.org-article:0e861c5d16cb448f88bdd0f9eeed01692021-12-02T18:18:35ZPredicting disease course in ulcerative colitis using stool proteins identified through an aptamer-based screen10.1038/s41467-021-24235-02041-1723https://doaj.org/article/0e861c5d16cb448f88bdd0f9eeed01692021-06-01T00:00:00Zhttps://doi.org/10.1038/s41467-021-24235-0https://doaj.org/toc/2041-1723Stool biomarkers hold promise for monitoring disease activity and predicting clinical course in inflammatory bowel disease (IBD) as they originate from the inflamed tissue. Here the authors report an aptamer-based proteomic screen, and discover several stool proteins that predict remission at four weeks.Sanam SoomroSuresh VenkateswaranKamala VanarsaMarwa KharboutliMalavika NidhiRamya SusarlaTing ZhangPrashanth SasidharanKyung Hyun LeeJoel RoshJames MarkowitzClaudia PedrozaLee A. DensonJeffrey HyamsSubra KugathasanChandra MohanNature PortfolioarticleScienceQENNature Communications, Vol 12, Iss 1, Pp 1-11 (2021) |
| institution |
DOAJ |
| collection |
DOAJ |
| language |
EN |
| topic |
Science Q |
| spellingShingle |
Science Q Sanam Soomro Suresh Venkateswaran Kamala Vanarsa Marwa Kharboutli Malavika Nidhi Ramya Susarla Ting Zhang Prashanth Sasidharan Kyung Hyun Lee Joel Rosh James Markowitz Claudia Pedroza Lee A. Denson Jeffrey Hyams Subra Kugathasan Chandra Mohan Predicting disease course in ulcerative colitis using stool proteins identified through an aptamer-based screen |
| description |
Stool biomarkers hold promise for monitoring disease activity and predicting clinical course in inflammatory bowel disease (IBD) as they originate from the inflamed tissue. Here the authors report an aptamer-based proteomic screen, and discover several stool proteins that predict remission at four weeks. |
| format |
article |
| author |
Sanam Soomro Suresh Venkateswaran Kamala Vanarsa Marwa Kharboutli Malavika Nidhi Ramya Susarla Ting Zhang Prashanth Sasidharan Kyung Hyun Lee Joel Rosh James Markowitz Claudia Pedroza Lee A. Denson Jeffrey Hyams Subra Kugathasan Chandra Mohan |
| author_facet |
Sanam Soomro Suresh Venkateswaran Kamala Vanarsa Marwa Kharboutli Malavika Nidhi Ramya Susarla Ting Zhang Prashanth Sasidharan Kyung Hyun Lee Joel Rosh James Markowitz Claudia Pedroza Lee A. Denson Jeffrey Hyams Subra Kugathasan Chandra Mohan |
| author_sort |
Sanam Soomro |
| title |
Predicting disease course in ulcerative colitis using stool proteins identified through an aptamer-based screen |
| title_short |
Predicting disease course in ulcerative colitis using stool proteins identified through an aptamer-based screen |
| title_full |
Predicting disease course in ulcerative colitis using stool proteins identified through an aptamer-based screen |
| title_fullStr |
Predicting disease course in ulcerative colitis using stool proteins identified through an aptamer-based screen |
| title_full_unstemmed |
Predicting disease course in ulcerative colitis using stool proteins identified through an aptamer-based screen |
| title_sort |
predicting disease course in ulcerative colitis using stool proteins identified through an aptamer-based screen |
| publisher |
Nature Portfolio |
| publishDate |
2021 |
| url |
https://doaj.org/article/0e861c5d16cb448f88bdd0f9eeed0169 |
| work_keys_str_mv |
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