Machine-learning-based integrative –‘omics analyses reveal immunologic and metabolic dysregulation in environmental enteric dysfunction

Summary: Environmental enteric dysfunction (EED) is a subclinical enteropathy challenging to diagnose due to an overlap of tissue features with other inflammatory enteropathies. EED subjects (n = 52) from Pakistan, controls (n = 25), and a validation EED cohort (n = 30) from Zambia were used to deve...

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Bibliografiske detaljer

Principais autores:	Fatima Zulqarnain, Xueheng Zhao, Kenneth D.R. Setchell, Yash Sharma, Phillip Fernandes, Sanjana Srivastava, Aman Shrivastava, Lubaina Ehsan, Varun Jain, Shyam Raghavan, Christopher Moskaluk, Yael Haberman, Lee A. Denson, Khyati Mehta, Najeeha T. Iqbal, Najeeb Rahman, Kamran Sadiq, Zubair Ahmad, Romana Idress, Junaid Iqbal, Sheraz Ahmed, Aneeta Hotwani, Fayyaz Umrani, Beatrice Amadi, Paul Kelly, Donald E. Brown, Sean R. Moore, Syed Asad Ali, Sana Syed
Format:	Artigo
Sprog:	Inglês
Udgivet:	Elsevier 2024-06-01
Serier:	iScience
Fag:	Gastroenterology Medical imaging Metabolic flux analysis Lipidomics Transcriptomics Machine learning
Online adgang:	http://www.sciencedirect.com/science/article/pii/S2589004224012380
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